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Deployment Performance & Health","description":"Watch performance, errors, latency, and infrastructure metrics for your workload","readme":"A parameterized dashboard for common workload types (deployment, daemonSet, statefulSet) that has charts that pull Prometheus metrics from Kubernetes, Istio, and node-exporter and visualizes metrics in several categories (by panel):\r\n- At a Glance - A quick view of the health of your Kubernetes-based app (assumes it's web service, so it's mostly Istio metrics like success, latency, etc)\r\n- RED (Requests, Errors, Duration) - SRE \"Golden Signals\" that come from Istio\r\n- USE (Utilization, Saturation, Errors) - SRE \"Golden Signals\" that come from Kubernetes\r\n- Infra Resources - POD distribution by host and AZ, HPA metrics, image tag, oomkills, CPU throttling, total deployment allocated CPU's & memory, and more\r\n\r\nSelect your account, cluster, namespace, and then your workload name, and all charts will render.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-10-27T19:37:20.000Z","updatedAt":"2023-06-22T18:21:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15160"},{"rel":"revisions","href":"/dashboards/15160/revisions"},{"rel":"revision","href":"/dashboards/15160/revisions/20"},{"rel":"download","href":"/dashboards/15160/revisions/20/download"},{"rel":"org","href":"/orgs/roku"},{"rel":"images","href":"/dashboards/15160/images"},{"rel":"thumbnails","href":"/dashboards/15160/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11558,"status":1,"statusCode":"active","orgId":335958,"orgSlug":"deweiwu","orgName":"deweiwu","slug":"docker-exporter-dashboard","downloads":4602,"revisionId":16285,"revision":1,"name":"1 Docker Dashboard for Prometheus  中文版","description":"1 Docker Dashboard for Prometheus  中文版","readme":"Docker Exporter 总览\n\nE-mail: henry525@qq.com","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-14T04:25:30.000Z","updatedAt":"2020-01-14T04:37:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11558"},{"rel":"revisions","href":"/dashboards/11558/revisions"},{"rel":"revision","href":"/dashboards/11558/revisions/1"},{"rel":"download","href":"/dashboards/11558/revisions/1/download"},{"rel":"org","href":"/orgs/deweiwu"},{"rel":"images","href":"/dashboards/11558/images"},{"rel":"thumbnails","href":"/dashboards/11558/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13770,"status":1,"statusCode":"active","orgId":434154,"orgSlug":"sysnet4admin","orgName":"sysnet4admin","slug":"1-kubernetes-all-in-one-cluster-monitoring-kr","downloads":10989,"revisionId":20126,"revision":1,"name":"1 Kubernetes All-in-one Cluster Monitoring KR","description":"This dashboard is one of major topic for Kubernetes Book \nand best optimized for virtual machine environment provided with \nhttps://github.com/sysnet4admin/_Book_k8sInfra\n\nNotice: It may be running on the other environment but cannot be guaranteed.","readme":"# 쿠버네티스 올인원 모니터링 대시보드\n## **제작자**\n- ✔️[Gnu Shim](https://github.com/gnu-gnu)\n- ✔️[Seongju Moon](https://github.com/seongjumoon)\n- ✔️[Hoon Jo](https://github.com/sysnet4admin)\n\n## 관련 정보 \n- ?도서: [컨테이너 인프라 환경 구축을 위한 쿠버네티스/도커](http://www.yes24.com/Product/Goods/102099414)\n- ℹ️소스: [깃허브](https://github.com/sysnet4admin/_Book_k8sInfra)\n\n## 중요한 알림\n이 대시보드는 ?[컨테이너 인프라 환경 구축을 위한 쿠버네티스/도커](http://www.yes24.com/Product/Goods/102099414)  책에서 사용된 대시보드입니다. 따라서 ?[컨테이너 인프라 환경 구축을 위한 쿠버네티스/도커](http://www.yes24.com/Product/Goods/102099414) 책에서 제공하는 가상머신 환경에 최적화 되어 있습니다. \n책의 실습 환경인 쿠버네티스 1.18.4, 그라파나 7.0.3, 프로메테우스 2.19.0, 노드 익스포터 1.0.1에서 정상 동작을 확인하였으며,  클라우드 사에서 제공하는 EKS,AKS,GKE에서도 일부 익스포터를 깔고 설정하면 동작되는 것은 확인하였습니다. 여러가지의 고려 사항들이 있을 수 있기 때문에 이를 보증하진 않습니다. \n\n이 대시보드는 쿠버네티스 클러스터의 운영과 문제 해결에 필요한 정보를 보여줍니다.\n4개의 영역으로 구성되어 있으며\n각 영역에서는 아래와 같은 정보를 확인할 수 있습니다.\n1. 클러스터 요약\n- 마스터 정상 가동률\n- 네임스페이스, Pod, PVC의 숫자\n- 노드별 현황 정보를 보여주는 테이블\n2. 클러스터 전체 정보\n- 노드별 CPU 점유율\n- 노드별 메모리 사용량\n- 클러스터 수준의 초당 평균 네트워크 트래픽\n- API 서버 호출 통계\n3. 노드별 정보\n- CPU 점유율\n- 메모리 점유율\n- 디스크 사용률\n- CPU 코어 개수\n- 전체 메모리 용량\n- 파일 디스크립터와 컨텍스트 스위칭\n- 완료된 디스크 IOPS\n4. Pod별 정보\n- 가동 시간\n- 가동 상태\n- 10분 이내 재시작 시도 횟수\n- 리소스 사용량(메모리, CPU, FS)\n- 리소스 할당 제한\n- 초당 네트워크 트래픽\n- 메모리 상태(Swap/Failure)\n- 스레드 개수\n[Release Note]\n2021/01/24\n- 최초 릴리즈\n\n# Kubernetes All-in-one Monitoring Dashboard\n\n## Important notes\nThis dashboard is one of major topic for Kubernetes Book and best optimized for virtual machine environment provided with [Kubernetes/Docker for container infrastructure](http://www.yes24.com/Product/Goods/102099414) \nTested Env like below \n - Kubernetes 1.18.4\n - Grafana 7.0.3\n - Prometheus 2.19.0\n - Node-exporter 1.0.1\n\nIt may be running on the other environment but cannot be guaranteed.\nThis dashboard shows information of Kubernetes cluster which is involved in necessary to operate and troubleshoot problems\nIt contains information of 4 sections.\nIn each section, you can find information as below.\n1. cluster summary\nIn this section, you will get \n- Control plane availability\n- Number of Namespaces, Pods, PVC\n- Cluster information table\n2. cluster overall information\n- CPU usage of each node\n- Memory consumption of each node\n- Network traffic per second of whole cluster\n- stats of API server requests\n3. node specific information\n- CPU usage\n- Memory usage\n- Disk usage\n- File descriptor and context switches\n- Completed Disk IOPS\n4. pod specific information\n- Uptime\n- Health status\n- Restart attempts within 10 minutes\n- Resource usage(Memory , CPU, File system)\n- Resource quota\n- Network traffic per second\n- Memory status (swap / failure)\n- Thread count\n[Release Note]\n2021/01/24\n- Initial release\n-----\n","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-24T14:10:46.000Z","updatedAt":"2021-06-19T00:24:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":6,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13770"},{"rel":"revisions","href":"/dashboards/13770/revisions"},{"rel":"revision","href":"/dashboards/13770/revisions/1"},{"rel":"download","href":"/dashboards/13770/revisions/1/download"},{"rel":"org","href":"/orgs/sysnet4admin"},{"rel":"images","href":"/dashboards/13770/images"},{"rel":"thumbnails","href":"/dashboards/13770/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17900,"status":1,"statusCode":"active","orgId":434154,"orgSlug":"sysnet4admin","orgName":"sysnet4admin","slug":"1-kubernetes-all-in-one-cluster-monitoring-kr-v1-26-0","downloads":978,"revisionId":27443,"revision":1,"name":"1 Kubernetes All-in-one Cluster Monitoring KR(v1.26.0)","description":"This dashboard is the education purpose for the Grafana panel and other functions. Thus it cannot be guaranteed for other environment. ","readme":"# 쿠버네티스 올인원 모니터링 대시보드\r\n## **제작자**\r\n- ✔️[Hoon Jo](https://github.com/sysnet4admin)\r\n- ✔️[Seongju Moon](https://github.com/seongjumoon)\r\n- ✔️[Gnu Shim](https://github.com/gnu-gnu)\r\n\r\n## 관련 정보 \r\n- ?도서: [컨테이너 인프라 환경 구축을 위한 쿠버네티스/도커](http://www.yes24.com/Product/Goods/102099414)\r\n- ℹ️소스: [깃허브](https://github.com/SeongJuMoon/_Lecture_graf_learning.kit)\r\n\r\n## 중요한 알림\r\n이 대시보드는 ?[컨테이너 인프라 환경 구축을 위한 쿠버네티스/도커](http://www.yes24.com/Product/Goods/102099414)  책에서 사용된 대시보드를 v1.26.0에 맞게 변경하였습니다.  따라서 ?[컨테이너 인프라 환경 구축을 위한 쿠버네티스/도커](http://www.yes24.com/Product/Goods/102099414) 책에서 제공하는 가상머신 환경에 유사하게 최적화 되어 있습니다. 하지만 책의 실습 버전과 다소 차이가 있기 때문에 직접적인 연결은 되지 않으며, 클라우드 사에서 제공하는 EKS,AKS,GKE에서도 일부 익스포터를 깔고 설정하면 동작되는 것은 확인하였습니다. 하지만 여러가지의 고려 사항들이 있을 수 있기 때문에 이를 보증하진 않습니다. \r\n\r\n이 대시보드는 쿠버네티스 클러스터의 운영과 문제 해결에 필요한 정보를 보여줍니다.\r\n4개의 영역으로 구성되어 있으며\r\n각 영역에서는 아래와 같은 정보를 확인할 수 있습니다.\r\n1. 클러스터 요약\r\n- 마스터 정상 가동률\r\n- 네임스페이스, Pod, PVC의 숫자\r\n- 노드별 현황 정보를 보여주는 테이블\r\n2. 클러스터 전체 정보\r\n- 노드별 CPU 점유율\r\n- 노드별 메모리 사용량\r\n- 클러스터 수준의 초당 평균 네트워크 트래픽\r\n- API 서버 호출 통계\r\n3. 노드별 정보\r\n- CPU 점유율\r\n- 메모리 점유율\r\n- 디스크 사용률\r\n- CPU 코어 개수\r\n- 전체 메모리 용량\r\n- 파일 디스크립터와 컨텍스트 스위칭\r\n- 완료된 디스크 IOPS\r\n4. Pod별 정보\r\n- 가동 시간\r\n- 가동 상태\r\n- 10분 이내 재시작 시도 횟수\r\n- 리소스 사용량(메모리, CPU, FS)\r\n- 리소스 할당 제한\r\n- 초당 네트워크 트래픽\r\n- 메모리 상태(Swap/Failure)\r\n- 스레드 개수\r\n\r\n[Release Note]\r\n2023/01/28\r\n- 최초 릴리즈\r\n","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-01-18T08:01:43.000Z","updatedAt":"2023-01-19T08:12:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17900"},{"rel":"revisions","href":"/dashboards/17900/revisions"},{"rel":"revision","href":"/dashboards/17900/revisions/1"},{"rel":"download","href":"/dashboards/17900/revisions/1/download"},{"rel":"org","href":"/orgs/sysnet4admin"},{"rel":"images","href":"/dashboards/17900/images"},{"rel":"thumbnails","href":"/dashboards/17900/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11802,"status":1,"statusCode":"active","orgId":342434,"orgSlug":"dguyhasnoname","orgName":"dguyhasnoname","slug":"1-kubernetes-cluster-overview","downloads":118882,"revisionId":21426,"revision":5,"name":"1 Kubernetes cluster overview(कुबरनेटेस)","description":"This dashboard can help troubleshooting issue in k8s cluster at cluster, node and namespace level.","readme":"Prometheus helm chart used: stable/prometheus-operator@8.13.8. \nGrafana version recommended: 7.0.0 or higher\nLatest k8s version tested  upon: v1.20.2\n\nFor latest dashboard please visit the git repo: [dguyhasnoname](https://github.com/dguyhasnoname/k8s-day2-ops/blob/master/grafana/dashboards/debug_k8s_by_dguyhasnoname/debug_k8s_by_dguyhasnoname-latest.json)\n\n\nSpecial Plugin dependencies:\n1. Status dot\n2. single stat\n\nvalues.yaml for operator helm chart:\n```\nprometheusOperator:\n  createCustomResource: true\n\nalertmanager:\n  ingress:\n    enabled: true\n    hosts: [alertmanager.abc.com]\n\ngrafana:\n  image:\n    repository: grafana/grafana\n    tag: 7.0.3\n  ingress:\n    enabled: true\n    hosts: [grafana.abc.com]\n  plugins:\n  - btplc-status-dot-panel\n\nprometheus:\n  ingress:\n    enabled: true\n    hosts: [prometheus.abc.com]\n  prometheusSpec:\n    replicas: 1\n    podAntiAffinity: hard\n    podAntiAffinityTopologyKey: failure-domain.beta.kubernetes.io/zone\n    storageSpec:\n      volumeClaimTemplate:\n        spec:\n          storageClassName: default-storage-class\n          accessModes: [\"ReadWriteOnce\"]\n          resources:\n            requests:\n              storage: 70Gi\n    resources:\n      requests:\n        cpu: 200m\n        memory: 1024Mi\n      limits:\n        cpu: 1000m\n        memory: 1024Mi\n\n# Exporters\nkubeApiServer:\n  enabled: true\n\nkubelet:\n  enabled: true\n\nkubeControllerManager:\n  enabled: true\n\ncoreDns:\n  enabled: true\n\nkubeDns:\n  enabled: true\n\nkubeEtcd:\n  enabled: true\n\nkubeScheduler:\n  enabled: true\n\nkubeProxy:\n  enabled: true\n\nkubeStateMetrics:\n  enabled: true\n\nnodeExporter:\n  enabled: true\n\n```\n\nThis dashboard show SLO and error budget for over all cluster/namespace and can help troubleshooting issue in k8s cluster at cluster, node and namespace level.\n\nCluster SLO and error budget has been calculated based on control plane pods.\nNamespace SLO and error budget is based on all pods running in the namespace.\n\nAt cluster level you can find below details:\n1. Node readiness state\n2. No. of pods in cluster\n3. memory/CPU usage in cluster: total, node-wise and namespace wise.\n4. PVCs in cluster and read only PVCs\n5. Cluster age\n6. Waiting/Teminated pods count\n7. cluster node details\n\nAt node level you can find below details:\n1. Uptime\n2. Node readiness\n3. CPU, memory and load on node.\n4. Kubelet errors which can be related to PLEG\n5. pod count on node by namespace\n6. Memory/Disk/PID pressure\n7. Top 5 memory guzzling pods\n8. NTP time deviation\n9. Kubelet eviction stats\n10. Node evictions\n\nAt namespace level you can find below details:\n1. pod readiness\n2. ready/waiting/terminated pod count\n3. No. of deployments in namespace\n4. 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These can be convenient to use in conjunction with the query_result function when you need to filter variable queries since label_values function doesn’t support queries.\n- Make sure to set the variable’s refresh trigger to be On Time Range Change to get the correct instances when changing the time range on the dashboard.","collectorType":"nodeExporter","collectorConfig":"`Prometheus configuration: /opt/prometheus/prometheus.yml`\n\n    - job_name: server1\n      static_configs:\n        - targets: ['192.168.1.10:9100']\n          labels:\n            env: prod\n            alias: server1\n\n\n`Node Exporter Service: $ cat /usr/lib/systemd/system/node_exporter.service`\n\n     [Unit]\n     Description=Prometheus Node Exporter\n     Wants=network-online.target\n     After=network-online.target\n\n     [Service]\n     User=node_exporter\n     Group=node_exporter\n     Type=simple\n\n     ExecStart=/opt/node_exporter/node_exporter --web.listen-address=0.0.0.0:9100 --log.level=info --log.format=json --collector.logind --collector.systemd --collector.tcpstat --collector.ntp --collector.interrupts  --collector.meminfo_numa --collector.processes --no-collector.bonding --no-collector.bcache --no-collector.arp --no-collector.edac --no-collector.infiniband --no-collector.ipvs --no-collector.mdadm --no-collector.nfs --no-collector.nfsd --no-collector.textfile --no-collector.wifi --no-collector.hwmon --no -collector.conntrack --no-collector.timex --no-collector.zfs --collector.systemd.unit-whitelist=(crond|sshd|node_exporter)\\\\.service\n\n     ExecReload=/bin/kill -HUP $MAINPID\n     TimeoutStopSec=10s\n     SendSIGKILL=no\n     SyslogIdentifier=prometheus_node_exporter\n     Restart=always\n\n     [Install]\n     WantedBy=multi-user.target\n","collectorPluginList":"cpu, diskstats, entropy, filefd, filesystem, loadavg, meminfo, netstat, stat, time, vmstat, interrupts, ntp, systemd, tcpstat, Other","datasource":"Prometheus","privacy":"public","createdAt":"2018-11-18T17:05:14.000Z","updatedAt":"2021-02-14T07:27:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":4,"reviewsAvgRating":2.75,"links":[{"rel":"self","href":"/dashboards/9096"},{"rel":"revisions","href":"/dashboards/9096/revisions"},{"rel":"revision","href":"/dashboards/9096/revisions/5"},{"rel":"download","href":"/dashboards/9096/revisions/5/download"},{"rel":"org","href":"/orgs/fchiorascu"},{"rel":"images","href":"/dashboards/9096/images"},{"rel":"thumbnails","href":"/dashboards/9096/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18234,"status":1,"statusCode":"active","orgId":312323,"orgSlug":"guaiguaile","orgName":"guaiguaile","slug":"1-node-exporter-dashboard-22-04-17","downloads":350,"revisionId":28002,"revision":1,"name":"1 Node Exporter Dashboard 22/04/17 项目分组版","description":"使用Grafana8新表格重建，新增健康评分概念，并新增了整体资源消耗信息的一些图表。优化重要指标展示，包含整体资源展示与资源明细图表：CPU 内存 磁盘 IO 网络等监控指标。https://github.com/starsliao/ConsulManager","readme":"1","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-08T05:46:38.000Z","updatedAt":"2023-03-08T05:47:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18234"},{"rel":"revisions","href":"/dashboards/18234/revisions"},{"rel":"revision","href":"/dashboards/18234/revisions/1"},{"rel":"download","href":"/dashboards/18234/revisions/1/download"},{"rel":"org","href":"/orgs/guaiguaile"},{"rel":"images","href":"/dashboards/18234/images"},{"rel":"thumbnails","href":"/dashboards/18234/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12171,"status":1,"statusCode":"active","orgId":342434,"orgSlug":"dguyhasnoname","orgName":"dguyhasnoname","slug":"openebs-by-dguyhasnoname","downloads":415238,"revisionId":17736,"revision":2,"name":"1 OpenEBS Dashboard","description":"This dashboard gives overview of OpenEBS installation in cluster.","readme":"Special Plugin dependencies:\n\n1. Status dot\n2. single stat\n\nVariables to be edited: OpenEBS namespace has been set to \"openebs\" which can be changed as per your env.\n\nlatest dashboard JSON: [dguyhasnoname/k8s-day2-ops/grafana/dashboards/openebs_by_dguyhasnoname](dguyhasnoname/k8s-day2-ops/tree/master/grafana/dashboards/openebs_by_dguyhasnoname)\n\nThis dashboard give overview of OpenEBS installation in k8s cluster at cluster. At OpenEBS level you can find below details:\n1. OpenEBS version installed\n2. OpenEBS dataplane SLO\n3. OpenEBS error budget\n4. OpenEBS replica status\n5. CPU/mem utilisation by OpenEBS pods\n6. count of ready/waiting/terminated/OOMkilled pods\n7. Number of PVCs\n8. Count of ready-only PVCs\n\nError budget has been calculated on basis of 98.999999999999999% availability. SLO(availability) has been calculated for data plane pods only. \n\nThis dashboard is battle tested. Please feel free to leave comments if you have any inputs for improvement.","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-24T14:09:51.000Z","updatedAt":"2020-05-30T07:46:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/12171"},{"rel":"revisions","href":"/dashboards/12171/revisions"},{"rel":"revision","href":"/dashboards/12171/revisions/2"},{"rel":"download","href":"/dashboards/12171/revisions/2/download"},{"rel":"org","href":"/orgs/dguyhasnoname"},{"rel":"images","href":"/dashboards/12171/images"},{"rel":"thumbnails","href":"/dashboards/12171/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12856,"status":1,"statusCode":"active","orgId":408254,"orgSlug":"kongluoxing","orgName":"kongluoxing","slug":"jvm-micrometer","downloads":4077,"revisionId":18562,"revision":1,"name":"1 SLS JVM监控大盘","description":"Dashboard for Micrometer instrumented applications (Java, Spring Boot, Micronaut)","readme":"基于https://grafana.com/grafana/dashboards/4701 修改\n# SLS JVM监控大盘\n\n用于Spring Boot应用, 可采集JVM, Tomcat, 进程等监控指标\n详细教程请查看: https://developer.aliyun.com/article/770726\n\n# 配置步骤\n1. 在pom.xml中添加依赖:\n```\n<dependency>\n      <groupId>org.springframework.boot</groupId>\n      <artifactId>spring-boot-starter-actuator</artifactId>\n </dependency>\n<dependency>\n\t<groupId>io.micrometer</groupId>\n\t<artifactId>micrometer-registry-prometheus</artifactId>\n\t<version>1.1.3</version>\n</dependency>\n<!-- 可选, 用于进程内存使用图表 -->\n        <dependency>\n            <groupId>io.github.mweirauch</groupId>\n            <artifactId>micrometer-jvm-extras</artifactId>\n            <version>0.2.0</version>\n        </dependency>\n\n```\n2. 修改spring boot配置(application.yml)\n```\nserver:\n  port: 8080\nspring:\n  application:\n    name: spring-demo\nmanagement:\n  endpoints:\n    web:\n      exposure:\n        include: 'prometheus' # 暴露/actuator/prometheus\n  metrics:\n    tags:\n      application: ${spring.application.name} # 暴露的数据中添加application label\n\n```\n3. 在Prometheus中增加采集\n```yaml\nglobal:\n  scrape_interval: 15s\nscrape_configs:\n  - job_name: \"spring-demo\"\n    metrics_path: \"/actuator/prometheus\"\n    static_configs:\n    - targets: [\"localhost:8080\"]\n```\n4. 通过remote write 写入SLS的时序存储\n\nhttps://help.aliyun.com/document_detail/171781.html\n\n5. Grafana中添加数据源\n\nhttps://help.aliyun.com/document_detail/173903.html\n\n## CHANGELOG:  \n\nv0.1(2020-08-19): initial upload","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-08-19T12:14:22.000Z","updatedAt":"2020-09-18T06:59:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":9,"reviewsAvgRating":4.56,"links":[{"rel":"self","href":"/dashboards/12856"},{"rel":"revisions","href":"/dashboards/12856/revisions"},{"rel":"revision","href":"/dashboards/12856/revisions/1"},{"rel":"download","href":"/dashboards/12856/revisions/1/download"},{"rel":"org","href":"/orgs/kongluoxing"},{"rel":"images","href":"/dashboards/12856/images"},{"rel":"thumbnails","href":"/dashboards/12856/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12826,"status":1,"statusCode":"active","orgId":332947,"orgSlug":"davidzhang","orgName":"zhang david","slug":"1-sls-mysql-v2020-08-13","downloads":4107,"revisionId":18516,"revision":1,"name":"1 SLS MySQL监控 v2020.08.13","description":"MySQL指标监控","readme":"## SLS MySQL监控仪表盘\nSLS支持使用Telegraf采集MySQL监控数据并存储到SLS的时序库中，支持各种可视化方式以及告警规则。\n\n问题反馈和技术支持请加钉钉群或者微信联系作者。\n\n## 使用限制\n- 仅支持MySQL 5.5及以上版本。\n- 不支持Windows版本。\n\n## 步骤1：创建Logtail采集配置\n\n* 登录[日志服务控制台](https://sls.console.aliyun.com/)。\n* 在**接入数据**区域，选择**MySQL监控**。\n* 在**选择日志空间**页签中，选择目标Project和MetricStore，单击**下一步**。您也可以单击 **立即创建**，重新创建Project和MetricStore，详情请参见 [创建Project](https://help.aliyun.com/document_detail/48984.html#section-ahq-ggx-ndb)和 [创建MetricStore](https://help.aliyun.com/document_detail/174155.html#section-8ju-apk-egg)。\n\n* 在**创建机器组**页签中，创建机器组。\n   - 如果您已有可用的机器组，请单击**使用现有机器组**。\n   - 如果您还没有可用的机器组，请执行以下操作（以ECS为例）：\n      1. 选择ECS实例安装Logtail，详情请参见[安装Logtail（ECS实例）](https://help.aliyun.com/document_detail/174039.html#task-2561331)。如果已在ECS上安装Logtail，请直接单击 **确认安装完毕**。\n\n**说明** 如果是自建集群、其他云厂商服务器，需要手动安装Logtail，详情请参见 [安装Logtail（Linux系统）](https://help.aliyun.com/document_detail/28982.html#concept-u5y-3lv-vdb)。\n\n      1. 安装完成后，单击**确认安装完毕**。\n      1. 创建机器组，详情请参见[创建IP地址机器组](https://help.aliyun.com/document_detail/28966.html#task-wc3-xn1-ry)或[创建用户自定义标识机器组](https://help.aliyun.com/document_detail/28983.html#concept-gyy-k3q-zdb)。\n* 在**机器组配置**页签中，应用机器组。选择一个机器组，将该机器组从 **源机器组**移动到 **应用机器组**。\n\n* 在**Logtail配置**页签中，配置**配置名称**和**插件配置**。**inputs**为Logtail采集配置，必选项，请根据您的数据源配置。\n\n**说明** 一个 **inputs**中只允许配置一个类型的数据源。\n\n```\n{\n    \"inputs\": [\n        {\n            \"detail\": {\n                \"Format\": \"influx\",\n                \"Address\": \":8476\"\n            },\n            \"type\": \"service_http_server\"\n        }\n    ],\n    \"global\": {\n        \"AlwaysOnline\": true,\n        \"DelayStopSec\": 500\n    }\n}\n```\n| 参数 | 类型 | 是否必选 | 参数说明 |\n| :--- | :--- | :--- | :--- |\n| **type** | string | 是 | 数据源类型，固定为service_http_server。 |\n| **Format** | string | 是 | 数据类型，固定为influx。 |\n| **Address** | string | 是 | 监听地址与端口，格式为**ip:port**。 |\n\n* 单击**下一步**，完成配置。\n\n## 步骤2：安装Telegraf\n\n* 登录服务器。\n* 安装Telegraf。\n   - 如果您的服务器是CentOS或AliOS系统，请执行如下命令安装Telegraf。\n```\nwget https://dl.influxdata.com/influxdb/releases/influxdb-1.15.2.x86_64.rpm\nyum localinstall influxdb-1.15.2.x86_64.rpm\nsystemctl enable --now influxdb\nsystemctl status influxd\n```\n\n   - 如果您的服务器是Ubuntu系统，请执行如下命令安装Telegraf。\n```\nwget https://dl.influxdata.com/telegraf/releases/telegraf_1.15.2-1_amd64.deb\ndpkg -i telegraf_1.15.2-1_amd64.deb\nsystemctl enable --now influxdb\nsystemctl status influxd\n```\n\n## 步骤3：配置Telegraf\n\n* 登录服务器。\n* 配置Logtail端口。\n   1. 打开/etc/telegraf/telegraf.conf文件。\n   1. 将/etc/telegraf/telegraf.conf文件中的内容替换下如下脚本。其中 **[[outputs.influxdb]]**下的**urls**为您在[步骤6](https://help.aliyun.com/document_detail/178832.htm#step-ukh-596-6ak)中配置的**Address**地址，默认为\"http://127.0.0.1:8476\"。\n\n```\n# Global tags can be specified here in key=\"value\" format.\n[global_tags]\n  # dc = \"us-east-1\" # will tag all metrics with dc=us-east-1\n  # rack = \"1a\"\n  ## Environment variables can be used as tags, and throughout the config file\n  # user = \"$USER\"\n# Configuration for telegraf agent\n[agent]\n  ## Default data collection interval for all inputs\n  interval = \"10s\"\n  ## Rounds collection interval to 'interval'\n  ## ie, if interval=\"10s\" then always collect on :00, :10, :20, etc.\n  round_interval = true\n  ## Telegraf will send metrics to outputs in batches of at most\n  ## metric_batch_size metrics.\n  ## This controls the size of writes that Telegraf sends to output plugins.\n  metric_batch_size = 1000\n  ## Maximum number of unwritten metrics per output.  Increasing this value\n  ## allows for longer periods of output downtime without dropping metrics at the\n  ## cost of higher maximum memory usage.\n  metric_buffer_limit = 10000\n  ## Collection jitter is used to jitter the collection by a random amount.\n  ## Each plugin will sleep for a random time within jitter before collecting.\n  ## This can be used to avoid many plugins querying things like sysfs at the\n  ## same time, which can have a measurable effect on the system.\n  collection_jitter = \"0s\"\n  ## Default flushing interval for all outputs. Maximum flush_interval will be\n  ## flush_interval + flush_jitter\n  flush_interval = \"10s\"\n  ## Jitter the flush interval by a random amount. This is primarily to avoid\n  ## large write spikes for users running a large number of telegraf instances.\n  ## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s\n  flush_jitter = \"0s\"\n  ## By default or when set to \"0s\", precision will be set to the same\n  ## timestamp order as the collection interval, with the maximum being 1s.\n  ##   ie, when interval = \"10s\", precision will be \"1s\"\n  ##       when interval = \"250ms\", precision will be \"1ms\"\n  ## Precision will NOT be used for service inputs. It is up to each individual\n  ## service input to set the timestamp at the appropriate precision.\n  ## Valid time units are \"ns\", \"us\" (or \"µs\"), \"ms\", \"s\".\n  precision = \"\"\n  ## Maximum number of rotated archives to keep, any older logs are deleted.\n  ## If set to -1, no archives are removed.\n  # logfile_rotation_max_archives = 5\n  ## Override default hostname, if empty use os.Hostname()\n  hostname = \"\"\n  ## If set to true, do no set the \"host\" tag in the telegraf agent.\n  omit_hostname = false\n      \n###############################################################################\n#                            OUTPUT PLUGINS                                   #\n###############################################################################\n# Configuration for sending metrics to Logtail's InfluxDB receiver\n[[outputs.influxdb]]\n  ## The full HTTP Logtail listen address\n  urls = [\"http://127.0.0.1:8476\"]\n  ## Always be true\n  skip_database_creation = true\n```\n\n* 增加MySQL监控配置。\n   1. 在/etc/telegraf/telegraf.d目录下创建mysql.conf配置文件。\n   1. 在mysql.conf配置文件中填入如下MySQL监控相关信息，并根据实际情况替换。\n```\n[[inputs.mysql]]\n  ## specify servers via a url matching:\n  ##  [username[:password]@][protocol[(address)]]/[?tls=[true|false|skip-verify|custom]]\n  ##  see https://github.com/go-sql-driver/mysql#dsn-data-source-name\n  ##  e.g.\n  ##    servers = [\"user:passwd@tcp(127.0.0.1:3306)/?tls=false\"]\n  ##    servers = [\"user@tcp(127.0.0.1:3306)/?tls=false\"]\n  #\n  ## If no servers are specified, then localhost is used as the host.\n  servers = [\"user:passwd@tcp(127.0.0.1:3306)/?tls=false\"]\n  metric_version = 2\n  ## if the list is empty, then metrics are gathered from all databasee tables\n  table_schema_databases = []\n  ## gather metrics from INFORMATION_SCHEMA.TABLES for databases provided above list\n  gather_table_schema = false\n  ## gather thread state counts from INFORMATION_SCHEMA.PROCESSLIST\n  gather_process_list = false\n  ## gather user statistics from INFORMATION_SCHEMA.USER_STATISTICS\n  gather_user_statistics = false\n  ## gather auto_increment columns and max values from information schema\n  gather_info_schema_auto_inc = false\n  ## gather metrics from INFORMATION_SCHEMA.INNODB_METRICS\n  gather_innodb_metrics = true\n  ## gather metrics from SHOW SLAVE STATUS command output\n  gather_slave_status = false\n  ## gather metrics from SHOW BINARY LOGS command output\n  gather_binary_logs = false\n  ## gather metrics from SHOW GLOBAL VARIABLES command output\n  gather_global_variables = true\n  ## gather metrics from PERFORMANCE_SCHEMA.TABLE_IO_WAITS_SUMMARY_BY_TABLE\n  gather_table_io_waits = false\n  ## gather metrics from PERFORMANCE_SCHEMA.TABLE_LOCK_WAITS\n  gather_table_lock_waits = false\n  ## gather metrics from PERFORMANCE_SCHEMA.TABLE_IO_WAITS_SUMMARY_BY_INDEX_USAGE\n  gather_index_io_waits = false\n  ## gather metrics from PERFORMANCE_SCHEMA.EVENT_WAITS\n  gather_event_waits = false\n  ## gather metrics from PERFORMANCE_SCHEMA.FILE_SUMMARY_BY_EVENT_NAME\n  gather_file_events_stats = false\n  ## gather metrics from PERFORMANCE_SCHEMA.EVENTS_STATEMENTS_SUMMARY_BY_DIGEST\n  gather_perf_events_statements = false\n  ## the limits for metrics form perf_events_statements\n  perf_events_statements_digest_text_limit = 120\n  perf_events_statements_limit = 250\n  perf_events_statements_time_limit = 86400\n  ## Some queries we may want to run less often (such as SHOW GLOBAL VARIABLES)\n  ##   example: interval_slow = \"30m\"\n  interval_slow = \"\"\n  ## Optional TLS Config (will be used if tls=custom parameter specified in server uri)\n  # tls_ca = \"/etc/telegraf/ca.pem\"\n  # tls_cert = \"/etc/telegraf/cert.pem\"\n  # tls_key = \"/etc/telegraf/key.pem\"\n  ## Use TLS but skip chain & host verification\n  # insecure_skip_verify = false omit_hostname = false\n[[processors.strings]]\n  namepass = [\"mysql\", \"mysql_innodb\"]\n  [[processors.strings.replace]]\n    tag = \"server\"\n    old = \"127.0.0.1:3306\"\n    new = \"mysql-dev\"\n  [[processors.strings.replace]]\n    tag = \"server\"\n    old = \"192.168.1.98:3306\"\n    new = \"mysql-prod\"\n```\n\n* 重要参数说明如下表所示。\n\n| 参数 | 类型 | 是否必选 | 说明 |\n| :--- | :--- | :--- | :--- |\n| servers | 数组 | 是 | 监听的MySQL列表，格式为**user:passwd@tcp(host:port)/?tls=true/false**。 |\n| processors.strings.replace | 对象 | 否 | 默认情况下，上报的数据中**Server**字段为**host:port**格式。您可以通过**processors.strings.replace**，将**host:port**替换成易识别的值，例如mysql-prod。该对象支持设置多个。 |\n\n* 执行如下命令触发Telegraf重新加载配置。\n```\nsystemctl reload telegraf\n```\n\n## 2020.08.28\n* 初始化版本\n\n\n\n# 作者\n* 邮箱：davidzhang.zc@alibaba-inc.com\n* 微信：davidzhang-zc","collectorType":"Other","collectorConfig":"","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-08-13T08:49:02.000Z","updatedAt":"2020-08-28T07:45:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":4,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12826"},{"rel":"revisions","href":"/dashboards/12826/revisions"},{"rel":"revision","href":"/dashboards/12826/revisions/1"},{"rel":"download","href":"/dashboards/12826/revisions/1/download"},{"rel":"org","href":"/orgs/davidzhang"},{"rel":"images","href":"/dashboards/12826/images"},{"rel":"thumbnails","href":"/dashboards/12826/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12798,"status":1,"statusCode":"active","orgId":332947,"orgSlug":"davidzhang","orgName":"zhang david","slug":"1-sls-v2020-08-08","downloads":865,"revisionId":18450,"revision":4,"name":"1 SLS主机监控 单机指标 v2020.08.08","description":"SLS主机监控，主要显示单主机指标","readme":"# SLS主机监控仪表盘\n日志服务Logtail支持采集主机CPU、内存、负载、磁盘、网络等监控数据。详细指标以及操作方式请参考：[SLS主机监控数据接入](https://help.aliyun.com/document_detail/171717.html)。\n\n此仪表盘只展示单机的监控指标，建议搭配SLS集群监控仪表盘（ID 12822），使用效果更佳。\n\n问题反馈和技术支持请加钉钉群或者微信联系作者。\n\n# 数据采集方式\n\n\n## 前提条件\n已在服务器上安装Logtail（Linux Logtail 0.16.40及以上版本），详情请参见[安装Logtail（Linux系统）](https://help.aliyun.com/document_detail/28982.html#t13056.html)。\n\n## 使用限制\n\n- 不支持Windows版本。\n- 不支持采集GPU、硬件状态等监控数据。\n \n## 操作步骤\n\n1. 登录[日志服务控制台](https://sls.console.aliyun.com/)。\n1. 在**接入数据**区域，选择**主机监控**。\n1. 在**选择日志空间**页签中，选择目标Project和MetricStore，单击**下一步**。您也可以单击**立即创建**，重新创建Project和MetricStore，详情请参见[创建Project](https://help.aliyun.com/document_detail/48984.html#section-ahq-ggx-ndb)和[创建MetricStore](https://help.aliyun.com/document_detail/174155.html#section-8ju-apk-egg)。\n1. 在**创建机器组**页签中，创建机器组。\n   - 如果您已有可用的机器组，请单击**使用现有机器组**。\n   - 如果您还没有可用的机器组，请执行以下操作（以ECS为例）：\n      1. 选择ECS实例安装Logtail，详情请参见[安装Logtail（ECS实例）](https://help.aliyun.com/document_detail/174039.html#task-2561331)。如果已在ECS上安装Logtail，请直接单击**确认安装完毕**。\n\n**说明** 如果是自建集群、其他云厂商服务器，需要手动安装Logtail，详情请参见[安装Logtail（Linux系统）](https://help.aliyun.com/document_detail/28982.html#concept-u5y-3lv-vdb)。\n      1. 安装完成后，单击**确认安装完毕**。\n      1. 创建机器组，详情请参见[创建IP地址机器组](https://help.aliyun.com/document_detail/28966.html#task-wc3-xn1-ry)或[创建用户自定义标识机器组](https://help.aliyun.com/document_detail/28983.html#concept-gyy-k3q-zdb)。\n5. 在**机器组配置**页签中，应用机器组。选择一个机器组，将该机器组从**源机器组**移动到**应用机器组**。\n5. 在**Logtail配置**页签中，配置**配置名称**和**插件配置**。**inputs**为Logtail采集配置，必选项，请根据您的数据源配置。\n\n**说明** 一个**inputs**中只允许配置一个类型的数据源。\n```\n{\n    \"inputs\": [\n        {\n            \"detail\": {\n                \"IntervalMs\": 30000\n            },\n            \"type\": \"metric_system_v2\"\n        }\n    ]\n}\n```\n| 参数 | 类型 | 是否必选 | 参数说明 |\n| :--- | :--- | :--- | :--- |\n| **type** | string | 是 | 数据源类型，固定为metric_system_v2。 |\n| **IntervalMs** | int | 是 | 每次请求的间隔，单位：ms。不能低于5000，建议设置为30000。 |\n\n最后 单击**下一步**，完成配置。\n\n# Grafana配置方式\n\n## 操作步骤\n\n1. 登录Grafana。\n1. 在左侧导航栏，单击 **[![](https://cdn.nlark.com/yuque/0/2020/png/347081/1596868884843-156efd8c-fb59-41d6-8513-b8640624f91d.png#align=left&display=inline&height=30&margin=%5Bobject%20Object%5D&originHeight=30&originWidth=34&size=0&status=done&style=none&width=34)](http://static-aliyun-doc.oss-cn-hangzhou.aliyuncs.com/assets/img/zh-CN/4906794951/p112522.png)** >  **Data Sources**。\n1. 在**Data Sources**页签，单击**Add data source**。\n1. 选择**Prometheus**，单击**Select**。\n1. 在**Settings**页签，请您参考如下说明配置数据源。\n\n| 参数 | 说明 |\n| :--- | :--- |\n| **Name** | 请您自定义一个数据源的名称，例如Prometheus-01。 |\n| **HTTP** | - URL：格式为**[https://{project}.{sls-enpoint}/prometheus/{project}/{metricstore}](https://%7Bproject%7D.%7Bsls-enpoint%7D/prometheus/%7Bproject%7D/%7Bmetricstore%7D)**。其中{project}是Project名称，{metricstore}是MetricStore名称，{sls-enpoint}是Project所在地域的Endpoint，详情请参见[服务入口](https://help.aliyun.com/document_detail/29008.html#reference-wgx-pwq-zdb)。例如：**[https://sls-prometheus-test.cn-hangzhou.log.aliyuncs.com/prometheus/sls-prometheus-test/prometheus](https://sls-prometheus-test.cn-hangzhou.log.aliyuncs.com/prometheus/sls-prometheus-test/prometheus)**。**说明** 为保证传输安全性，请务必设置为`https`。\n| **Auth** | 打开**Basic auth**开关。 |\n| **Basic Auth Details** | - **User**为阿里云账号AccessKeyID。- **Password**为阿里云账号AccessKeySecret。建议您使用仅具备指定Project只读权限的RAM用户账号，详情请参见[指定Project只读授权策略](https://help.aliyun.com/document_detail/89676.html#section-vrx-w1l-z2b)。 |\n\n最后单击**Save & Test**。\n\n# Dashboard更新记录\n## 2020.08.08\n* 初始化版本\n\n\n\n# 作者\n* 邮箱：davidzhang.zc@alibaba-inc.com\n* 微信：davidzhang-zc\n\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-08-08T06:19:30.000Z","updatedAt":"2020-08-13T03:43:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":10,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12798"},{"rel":"revisions","href":"/dashboards/12798/revisions"},{"rel":"revision","href":"/dashboards/12798/revisions/4"},{"rel":"download","href":"/dashboards/12798/revisions/4/download"},{"rel":"org","href":"/orgs/davidzhang"},{"rel":"images","href":"/dashboards/12798/images"},{"rel":"thumbnails","href":"/dashboards/12798/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12822,"status":1,"statusCode":"active","orgId":332947,"orgSlug":"davidzhang","orgName":"zhang david","slug":"1-sls-v2020-08-08","downloads":747,"revisionId":18512,"revision":1,"name":"1 SLS主机监控 集群监控 v2020.08.08","description":"展示集群级别的监控指标，包括整体资源利用率、各类指标Top占用机器、每台机器详细指标等，支持跳转到单击监控指标","readme":"# SLS主机监控仪表盘\n日志服务Logtail支持采集主机CPU、内存、负载、磁盘、网络等监控数据。详细指标以及操作方式请参考：[SLS主机监控数据接入](https://help.aliyun.com/document_detail/171717.html)。\n\n此仪表盘只展示集群监控指标，建议搭配SLS单机指标监控仪表盘（ID 12798），使用效果更佳。\n\n问题反馈和技术支持请加钉钉群或者微信联系作者。\n\n# 数据采集方式\n\n\n## 前提条件\n已在服务器上安装Logtail（Linux Logtail 0.16.40及以上版本），详情请参见[安装Logtail（Linux系统）](https://help.aliyun.com/document_detail/28982.html#t13056.html)。\n\n## 使用限制\n\n- 不支持Windows版本。\n- 不支持采集GPU、硬件状态等监控数据。\n \n## 操作步骤\n\n1. 登录[日志服务控制台](https://sls.console.aliyun.com/)。\n1. 在**接入数据**区域，选择**主机监控**。\n1. 在**选择日志空间**页签中，选择目标Project和MetricStore，单击**下一步**。您也可以单击**立即创建**，重新创建Project和MetricStore，详情请参见[创建Project](https://help.aliyun.com/document_detail/48984.html#section-ahq-ggx-ndb)和[创建MetricStore](https://help.aliyun.com/document_detail/174155.html#section-8ju-apk-egg)。\n1. 在**创建机器组**页签中，创建机器组。\n   - 如果您已有可用的机器组，请单击**使用现有机器组**。\n   - 如果您还没有可用的机器组，请执行以下操作（以ECS为例）：\n      1. 选择ECS实例安装Logtail，详情请参见[安装Logtail（ECS实例）](https://help.aliyun.com/document_detail/174039.html#task-2561331)。如果已在ECS上安装Logtail，请直接单击**确认安装完毕**。\n\n**说明** 如果是自建集群、其他云厂商服务器，需要手动安装Logtail，详情请参见[安装Logtail（Linux系统）](https://help.aliyun.com/document_detail/28982.html#concept-u5y-3lv-vdb)。\n      1. 安装完成后，单击**确认安装完毕**。\n      1. 创建机器组，详情请参见[创建IP地址机器组](https://help.aliyun.com/document_detail/28966.html#task-wc3-xn1-ry)或[创建用户自定义标识机器组](https://help.aliyun.com/document_detail/28983.html#concept-gyy-k3q-zdb)。\n5. 在**机器组配置**页签中，应用机器组。选择一个机器组，将该机器组从**源机器组**移动到**应用机器组**。\n5. 在**Logtail配置**页签中，配置**配置名称**和**插件配置**。**inputs**为Logtail采集配置，必选项，请根据您的数据源配置。\n\n**说明** 一个**inputs**中只允许配置一个类型的数据源。\n```\n{\n    \"inputs\": [\n        {\n            \"detail\": {\n                \"IntervalMs\": 30000\n            },\n            \"type\": \"metric_system_v2\"\n        }\n    ]\n}\n```\n| 参数 | 类型 | 是否必选 | 参数说明 |\n| :--- | :--- | :--- | :--- |\n| **type** | string | 是 | 数据源类型，固定为metric_system_v2。 |\n| **IntervalMs** | int | 是 | 每次请求的间隔，单位：ms。不能低于5000，建议设置为30000。 |\n\n最后 单击**下一步**，完成配置。\n\n# Grafana配置方式\n\n## 操作步骤\n\n1. 登录Grafana。\n1. 在左侧导航栏，单击 **[![](https://cdn.nlark.com/yuque/0/2020/png/347081/1596868884843-156efd8c-fb59-41d6-8513-b8640624f91d.png#align=left&display=inline&height=30&margin=%5Bobject%20Object%5D&originHeight=30&originWidth=34&size=0&status=done&style=none&width=34)](http://static-aliyun-doc.oss-cn-hangzhou.aliyuncs.com/assets/img/zh-CN/4906794951/p112522.png)** >  **Data Sources**。\n1. 在**Data Sources**页签，单击**Add data source**。\n1. 选择**Prometheus**，单击**Select**。\n1. 在**Settings**页签，请您参考如下说明配置数据源。\n\n| 参数 | 说明 |\n| :--- | :--- |\n| **Name** | 请您自定义一个数据源的名称，例如Prometheus-01。 |\n| **HTTP** | - 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Quer saber mais ?\n\n✅ Canal no Telegram com dicas, truques e gambiarras d:D\n\nhttps://t.me/joinchat/VX1MrWlXIreS3d91\n\n? Site do treinamento Zabbix user 6.0 com certificado 0800?:\n\nhttps://bit.ly/3FqP9YK\n\n? 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Quer saber mais ?\n\n✅ Canal no Telegram com dicas, truques e gambiarras d:D\n\nhttps://t.me/joinchat/VX1MrWlXIreS3d91\n\n? Site do treinamento Zabbix user 6.0 com certificado 0800?:\n\nhttps://bit.ly/3FqP9YK\n\n? 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Quer saber mais ?\n\n✅ Canal no Telegram com dicas, truques e gambiarras d:D\n\nhttps://t.me/joinchat/VX1MrWlXIreS3d91\n\n? Site do treinamento Zabbix user 6.0 com certificado 0800?:\n\nhttps://bit.ly/3FqP9YK\n\n? 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Ideal para administradores de sistemas, engenheiros de rede e profissionais de monitoramento, este treinamento permitirá que você crie dashboards visualmente atraentes e altamente eficientes, transformando a maneira como você gerencia e monitora seu ambiente de TI.\r\n\r\nAo final, você estará apto a:\r\n\r\nCriar dashboards personalizados para diferentes ambientes.\r\nConfigurar gráficos interativos e relatórios.\r\nImplementar boas práticas para otimizar o desempenho e a visualização de dados.\r\n\r\nInstall:\r\nInstalar o plugin Volkovlabs ECharts Panel\r\nUse o grafana-cli para instalar o plugin.\r\n\r\nDebian/Ubuntu e Red Hat/CentOS/AlmaLinux:\r\nsudo grafana-cli plugins install volkovlabs-echarts-panel","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Zabbix","privacy":"public","createdAt":"2025-08-16T03:06:19.000Z","updatedAt":"2025-08-16T03:06:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23907"},{"rel":"revisions","href":"/dashboards/23907/revisions"},{"rel":"revision","href":"/dashboards/23907/revisions/1"},{"rel":"download","href":"/dashboards/23907/revisions/1/download"},{"rel":"org","href":"/orgs/magnomontecerqueira"},{"rel":"images","href":"/dashboards/23907/images"},{"rel":"thumbnails","href":"/dashboards/23907/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":23908,"status":1,"statusCode":"active","orgId":107459,"orgSlug":"magnomontecerqueira","orgName":"Magno Monte Cerqueira","slug":"192-card-01","downloads":379,"revisionId":38103,"revision":1,"name":"192- Card 01","description":"Material do Curso - Zabbix 7.0 Academy: The Secrets to Building Dashboards\r\nCupom de Desconto:  \r\nhttps://pay.hotmart.com/R82964891J?off=1tm2mq2o&offDiscount=VOUCHERSITEGRAFANA\r\n\r\nDescubra os segredos por trás da criação de dashboards poderosos e funcionais com o Zabbix 7.0. Neste curso abrangente, você aprenderá a desenvolver e personalizar painéis de monitoramento que oferecem insights detalhados sobre o desempenho da sua infraestrutura de TI. Explorando desde os conceitos básicos até técnicas avançadas, o curso cobre visualizações dinâmicas, integrações com outras ferramentas, e otimização de dados para análise em tempo real. Ideal para administradores de sistemas, engenheiros de rede e profissionais de monitoramento, este treinamento permitirá que você crie dashboards visualmente atraentes e altamente eficientes, transformando a maneira como você gerencia e monitora seu ambiente de TI.\r\n\r\nAo final, você estará apto a:\r\n\r\nCriar dashboards personalizados para diferentes ambientes.\r\nConfigurar gráficos interativos e relatórios.\r\nImplementar boas práticas para otimizar o desempenho e a visualização de dados.\r\n\r\nInstall:\r\nInstalar o plugin Volkovlabs ECharts Panel\r\nUse o grafana-cli para instalar o plugin.\r\n\r\nDebian/Ubuntu e Red Hat/CentOS/AlmaLinux:\r\nsudo grafana-cli plugins install volkovlabs-echarts-panel","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Zabbix","privacy":"public","createdAt":"2025-08-16T03:08:05.000Z","updatedAt":"2025-08-16T03:08:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23908"},{"rel":"revisions","href":"/dashboards/23908/revisions"},{"rel":"revision","href":"/dashboards/23908/revisions/1"},{"rel":"download","href":"/dashboards/23908/revisions/1/download"},{"rel":"org","href":"/orgs/magnomontecerqueira"},{"rel":"images","href":"/dashboards/23908/images"},{"rel":"thumbnails","href":"/dashboards/23908/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":23909,"status":1,"statusCode":"active","orgId":107459,"orgSlug":"magnomontecerqueira","orgName":"Magno Monte Cerqueira","slug":"193-card-01","downloads":216,"revisionId":38104,"revision":1,"name":"193- Card 01","description":"Material do Curso - Zabbix 7.0 Academy: The Secrets to Building Dashboards\r\nCupom de Desconto:  \r\nhttps://pay.hotmart.com/R82964891J?off=1tm2mq2o&offDiscount=VOUCHERSITEGRAFANA\r\n\r\nDescubra os segredos por trás da criação de dashboards poderosos e funcionais com o Zabbix 7.0. Neste curso abrangente, você aprenderá a desenvolver e personalizar painéis de monitoramento que oferecem insights detalhados sobre o desempenho da sua infraestrutura de TI. Explorando desde os conceitos básicos até técnicas avançadas, o curso cobre visualizações dinâmicas, integrações com outras ferramentas, e otimização de dados para análise em tempo real. Ideal para administradores de sistemas, engenheiros de rede e profissionais de monitoramento, este treinamento permitirá que você crie dashboards visualmente atraentes e altamente eficientes, transformando a maneira como você gerencia e monitora seu ambiente de TI.\r\n\r\nAo final, você estará apto a:\r\n\r\nCriar dashboards personalizados para diferentes ambientes.\r\nConfigurar gráficos interativos e relatórios.\r\nImplementar boas práticas para otimizar o desempenho e a visualização de dados.\r\n\r\nInstall:\r\nInstalar o plugin Volkovlabs ECharts Panel\r\nUse o grafana-cli para instalar o plugin.\r\n\r\nDebian/Ubuntu e Red Hat/CentOS/AlmaLinux:\r\nsudo grafana-cli plugins install volkovlabs-echarts-panel","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Zabbix","privacy":"public","createdAt":"2025-08-16T03:09:56.000Z","updatedAt":"2025-08-16T03:10:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23909"},{"rel":"revisions","href":"/dashboards/23909/revisions"},{"rel":"revision","href":"/dashboards/23909/revisions/1"},{"rel":"download","href":"/dashboards/23909/revisions/1/download"},{"rel":"org","href":"/orgs/magnomontecerqueira"},{"rel":"images","href":"/dashboards/23909/images"},{"rel":"thumbnails","href":"/dashboards/23909/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":23910,"status":1,"statusCode":"active","orgId":107459,"orgSlug":"magnomontecerqueira","orgName":"Magno Monte Cerqueira","slug":"194-card-01","downloads":434,"revisionId":38105,"revision":1,"name":"194- Card 01","description":"Material do Curso - Zabbix 7.0 Academy: The Secrets to Building Dashboards\r\nCupom de Desconto:  \r\nhttps://pay.hotmart.com/R82964891J?off=1tm2mq2o&offDiscount=VOUCHERSITEGRAFANA\r\n\r\nDescubra os segredos por trás da criação de dashboards poderosos e funcionais com o Zabbix 7.0. Neste curso abrangente, você aprenderá a desenvolver e personalizar painéis de monitoramento que oferecem insights detalhados sobre o desempenho da sua infraestrutura de TI. Explorando desde os conceitos básicos até técnicas avançadas, o curso cobre visualizações dinâmicas, integrações com outras ferramentas, e otimização de dados para análise em tempo real. Ideal para administradores de sistemas, engenheiros de rede e profissionais de monitoramento, este treinamento permitirá que você crie dashboards visualmente atraentes e altamente eficientes, transformando a maneira como você gerencia e monitora seu ambiente de TI.\r\n\r\nAo final, você estará apto a:\r\n\r\nCriar dashboards personalizados para diferentes ambientes.\r\nConfigurar gráficos interativos e relatórios.\r\nImplementar boas práticas para otimizar o desempenho e a visualização de dados.\r\n\r\nInstall:\r\nInstalar o plugin Volkovlabs ECharts Panel\r\nUse o grafana-cli para instalar o plugin.\r\n\r\nDebian/Ubuntu e Red Hat/CentOS/AlmaLinux:\r\nsudo grafana-cli plugins install volkovlabs-echarts-panel","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Zabbix","privacy":"public","createdAt":"2025-08-16T03:13:35.000Z","updatedAt":"2025-08-16T03:13:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23910"},{"rel":"revisions","href":"/dashboards/23910/revisions"},{"rel":"revision","href":"/dashboards/23910/revisions/1"},{"rel":"download","href":"/dashboards/23910/revisions/1/download"},{"rel":"org","href":"/orgs/magnomontecerqueira"},{"rel":"images","href":"/dashboards/23910/images"},{"rel":"thumbnails","href":"/dashboards/23910/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":23911,"status":1,"statusCode":"active","orgId":107459,"orgSlug":"magnomontecerqueira","orgName":"Magno Monte Cerqueira","slug":"195-card-01","downloads":383,"revisionId":38106,"revision":1,"name":"195- Card 01","description":"Material do Curso - Zabbix 7.0 Academy: The Secrets to Building Dashboards\r\nCupom de Desconto:  \r\nhttps://pay.hotmart.com/R82964891J?off=1tm2mq2o&offDiscount=VOUCHERSITEGRAFANA\r\n\r\nDescubra os segredos por trás da criação de dashboards poderosos e funcionais com o Zabbix 7.0. Neste curso abrangente, você aprenderá a desenvolver e personalizar painéis de monitoramento que oferecem insights detalhados sobre o desempenho da sua infraestrutura de TI. Explorando desde os conceitos básicos até técnicas avançadas, o curso cobre visualizações dinâmicas, integrações com outras ferramentas, e otimização de dados para análise em tempo real. Ideal para administradores de sistemas, engenheiros de rede e profissionais de monitoramento, este treinamento permitirá que você crie dashboards visualmente atraentes e altamente eficientes, transformando a maneira como você gerencia e monitora seu ambiente de TI.\r\n\r\nAo final, você estará apto a:\r\n\r\nCriar dashboards personalizados para diferentes ambientes.\r\nConfigurar gráficos interativos e relatórios.\r\nImplementar boas práticas para otimizar o desempenho e a visualização de dados.\r\n\r\nInstall:\r\nInstalar o plugin Volkovlabs ECharts Panel\r\nUse o grafana-cli para instalar o plugin.\r\n\r\nDebian/Ubuntu e Red Hat/CentOS/AlmaLinux:\r\nsudo grafana-cli plugins install volkovlabs-echarts-panel","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Zabbix","privacy":"public","createdAt":"2025-08-16T03:15:37.000Z","updatedAt":"2025-08-16T03:15:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23911"},{"rel":"revisions","href":"/dashboards/23911/revisions"},{"rel":"revision","href":"/dashboards/23911/revisions/1"},{"rel":"download","href":"/dashboards/23911/revisions/1/download"},{"rel":"org","href":"/orgs/magnomontecerqueira"},{"rel":"images","href":"/dashboards/23911/images"},{"rel":"thumbnails","href":"/dashboards/23911/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":23912,"status":1,"statusCode":"active","orgId":107459,"orgSlug":"magnomontecerqueira","orgName":"Magno Monte Cerqueira","slug":"196-card-01","downloads":166,"revisionId":38107,"revision":1,"name":"196- Card 01","description":"Material do Curso - Zabbix 7.0 Academy: The Secrets to Building Dashboards\r\nCupom de Desconto:  \r\nhttps://pay.hotmart.com/R82964891J?off=1tm2mq2o&offDiscount=VOUCHERSITEGRAFANA\r\n\r\nDescubra os segredos por trás da criação de dashboards poderosos e funcionais com o Zabbix 7.0. Neste curso abrangente, você aprenderá a desenvolver e personalizar painéis de monitoramento que oferecem insights detalhados sobre o desempenho da sua infraestrutura de TI. Explorando desde os conceitos básicos até técnicas avançadas, o curso cobre visualizações dinâmicas, integrações com outras ferramentas, e otimização de dados para análise em tempo real. Ideal para administradores de sistemas, engenheiros de rede e profissionais de monitoramento, este treinamento permitirá que você crie dashboards visualmente atraentes e altamente eficientes, transformando a maneira como você gerencia e monitora seu ambiente de TI.\r\n\r\nAo final, você estará apto a:\r\n\r\nCriar dashboards personalizados para diferentes ambientes.\r\nConfigurar gráficos interativos e relatórios.\r\nImplementar boas práticas para otimizar o desempenho e a visualização de dados.\r\n\r\nInstall:\r\nInstalar o plugin Volkovlabs ECharts Panel\r\nUse o grafana-cli para instalar o plugin.\r\n\r\nDebian/Ubuntu e Red Hat/CentOS/AlmaLinux:\r\nsudo grafana-cli plugins install volkovlabs-echarts-panel","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Zabbix","privacy":"public","createdAt":"2025-08-16T03:17:51.000Z","updatedAt":"2025-08-16T03:18:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23912"},{"rel":"revisions","href":"/dashboards/23912/revisions"},{"rel":"revision","href":"/dashboards/23912/revisions/1"},{"rel":"download","href":"/dashboards/23912/revisions/1/download"},{"rel":"org","href":"/orgs/magnomontecerqueira"},{"rel":"images","href":"/dashboards/23912/images"},{"rel":"thumbnails","href":"/dashboards/23912/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":23913,"status":1,"statusCode":"active","orgId":107459,"orgSlug":"magnomontecerqueira","orgName":"Magno Monte Cerqueira","slug":"197-card-01","downloads":306,"revisionId":38108,"revision":1,"name":"197- Card 01","description":"Material do Curso - Zabbix 7.0 Academy: The Secrets to Building Dashboards\r\nCupom de Desconto:  \r\nhttps://pay.hotmart.com/R82964891J?off=1tm2mq2o&offDiscount=VOUCHERSITEGRAFANA\r\n\r\nDescubra os segredos por trás da criação de dashboards poderosos e funcionais com o Zabbix 7.0. Neste curso abrangente, você aprenderá a desenvolver e personalizar painéis de monitoramento que oferecem insights detalhados sobre o desempenho da sua infraestrutura de TI. Explorando desde os conceitos básicos até técnicas avançadas, o curso cobre visualizações dinâmicas, integrações com outras ferramentas, e otimização de dados para análise em tempo real. Ideal para administradores de sistemas, engenheiros de rede e profissionais de monitoramento, este treinamento permitirá que você crie dashboards visualmente atraentes e altamente eficientes, transformando a maneira como você gerencia e monitora seu ambiente de TI.\r\n\r\nAo final, você estará apto a:\r\n\r\nCriar dashboards personalizados para diferentes ambientes.\r\nConfigurar gráficos interativos e relatórios.\r\nImplementar boas práticas para otimizar o desempenho e a visualização de dados.\r\n\r\nInstall:\r\nInstalar o plugin Volkovlabs ECharts Panel\r\nUse o grafana-cli para instalar o plugin.\r\n\r\nDebian/Ubuntu e Red Hat/CentOS/AlmaLinux:\r\nsudo grafana-cli plugins install volkovlabs-echarts-panel","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Zabbix","privacy":"public","createdAt":"2025-08-16T03:20:32.000Z","updatedAt":"2025-08-16T03:20:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23913"},{"rel":"revisions","href":"/dashboards/23913/revisions"},{"rel":"revision","href":"/dashboards/23913/revisions/1"},{"rel":"download","href":"/dashboards/23913/revisions/1/download"},{"rel":"org","href":"/orgs/magnomontecerqueira"},{"rel":"images","href":"/dashboards/23913/images"},{"rel":"thumbnails","href":"/dashboards/23913/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":23914,"status":1,"statusCode":"active","orgId":107459,"orgSlug":"magnomontecerqueira","orgName":"Magno Monte Cerqueira","slug":"198-card-01","downloads":165,"revisionId":38109,"revision":1,"name":"198- Card 01","description":"Material do Curso - Zabbix 7.0 Academy: The Secrets to Building Dashboards\r\nCupom de Desconto:  \r\nhttps://pay.hotmart.com/R82964891J?off=1tm2mq2o&offDiscount=VOUCHERSITEGRAFANA\r\n\r\nDescubra os segredos por trás da criação de dashboards poderosos e funcionais com o Zabbix 7.0. Neste curso abrangente, você aprenderá a desenvolver e personalizar painéis de monitoramento que oferecem insights detalhados sobre o desempenho da sua infraestrutura de TI. Explorando desde os conceitos básicos até técnicas avançadas, o curso cobre visualizações dinâmicas, integrações com outras ferramentas, e otimização de dados para análise em tempo real. Ideal para administradores de sistemas, engenheiros de rede e profissionais de monitoramento, este treinamento permitirá que você crie dashboards visualmente atraentes e altamente eficientes, transformando a maneira como você gerencia e monitora seu ambiente de TI.\r\n\r\nAo final, você estará apto a:\r\n\r\nCriar dashboards personalizados para diferentes ambientes.\r\nConfigurar gráficos interativos e relatórios.\r\nImplementar boas práticas para otimizar o desempenho e a visualização de dados.\r\n\r\nInstall:\r\nInstalar o plugin Volkovlabs ECharts Panel\r\nUse o grafana-cli para instalar o plugin.\r\n\r\nDebian/Ubuntu e Red Hat/CentOS/AlmaLinux:\r\nsudo grafana-cli plugins install volkovlabs-echarts-panel","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Zabbix","privacy":"public","createdAt":"2025-08-16T03:22:44.000Z","updatedAt":"2025-08-16T03:23:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23914"},{"rel":"revisions","href":"/dashboards/23914/revisions"},{"rel":"revision","href":"/dashboards/23914/revisions/1"},{"rel":"download","href":"/dashboards/23914/revisions/1/download"},{"rel":"org","href":"/orgs/magnomontecerqueira"},{"rel":"images","href":"/dashboards/23914/images"},{"rel":"thumbnails","href":"/dashboards/23914/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":23915,"status":1,"statusCode":"active","orgId":107459,"orgSlug":"magnomontecerqueira","orgName":"Magno Monte Cerqueira","slug":"199-card-01","downloads":179,"revisionId":38110,"revision":1,"name":"199- Card 01","description":"Material do Curso - Zabbix 7.0 Academy: The Secrets to Building Dashboards\r\nCupom de Desconto:  \r\nhttps://pay.hotmart.com/R82964891J?off=1tm2mq2o&offDiscount=VOUCHERSITEGRAFANA\r\n\r\nDescubra os segredos por trás da criação de dashboards poderosos e funcionais com o Zabbix 7.0. Neste curso abrangente, você aprenderá a desenvolver e personalizar painéis de monitoramento que oferecem insights detalhados sobre o desempenho da sua infraestrutura de TI. Explorando desde os conceitos básicos até técnicas avançadas, o curso cobre visualizações dinâmicas, integrações com outras ferramentas, e otimização de dados para análise em tempo real. Ideal para administradores de sistemas, engenheiros de rede e profissionais de monitoramento, este treinamento permitirá que você crie dashboards visualmente atraentes e altamente eficientes, transformando a maneira como você gerencia e monitora seu ambiente de TI.\r\n\r\nAo final, você estará apto a:\r\n\r\nCriar dashboards personalizados para diferentes ambientes.\r\nConfigurar gráficos interativos e relatórios.\r\nImplementar boas práticas para otimizar o desempenho e a visualização de dados.\r\n\r\nInstall:\r\nInstalar o plugin Volkovlabs ECharts Panel\r\nUse o grafana-cli para instalar o plugin.\r\n\r\nDebian/Ubuntu e Red Hat/CentOS/AlmaLinux:\r\nsudo grafana-cli plugins install volkovlabs-echarts-panel","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Zabbix","privacy":"public","createdAt":"2025-08-16T03:25:01.000Z","updatedAt":"2025-08-16T03:25:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23915"},{"rel":"revisions","href":"/dashboards/23915/revisions"},{"rel":"revision","href":"/dashboards/23915/revisions/1"},{"rel":"download","href":"/dashboards/23915/revisions/1/download"},{"rel":"org","href":"/orgs/magnomontecerqueira"},{"rel":"images","href":"/dashboards/23915/images"},{"rel":"thumbnails","href":"/dashboards/23915/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":15741,"status":1,"statusCode":"active","orgId":479017,"orgSlug":"vegas","orgName":"VegasLife","slug":"1kv-dash","downloads":363,"revisionId":23800,"revision":1,"name":"1KV Dash","description":"Dashboard for Polkadot and Kusama 1KV Node operators.","readme":"# 1. Set up a free Grafana Cloud. \r\nhttps://grafana.com/products/cloud/\r\n\r\nYou can have up to 10 Dashboards configured for free.\r\n\r\nDon’t worry about it, you don’t need the Pro version, everything will work without it.\r\n\r\n# 2. Install JSON Plugin\r\nhttps://grafana.com/grafana/plugins/marcusolsson-json-datasource/\r\n\r\nPlugins – `JSON API` - Version - 1.3.1 Marcus Olsson\r\n\r\n`Documentation ` https://marcus.se.net/grafana-json-datasource/\r\n\r\n`Website`  https://github.com/marcusolsson/grafana-json-datasource\r\n\r\nA data source plugin for loading JSON APIs into Grafana.\r\n\r\n``It will take few minutes for Plugin to be installed.``\r\n\r\n# 3. Add JSON API Data sources\r\n\r\n**`KUSAMA`**\r\n\r\n- `ksm_1_candidate` https://kusama.w3f.community/candidate/Dq97kmsJXGTciU1eMXZMAp4D41Y9e7kQ4hmFBfZW7YD4CCf\r\n- `ksm_1_erapoint` https://kusama.w3f.community/erapoints/Dq97kmsJXGTciU1eMXZMAp4D41Y9e7kQ4hmFBfZW7YD4CCf\r\n- `ksm_1_score` https://kusama.w3f.community/score/Dq97kmsJXGTciU1eMXZMAp4D41Y9e7kQ4hmFBfZW7YD4CCf\r\n- `ksm_2_candidate` https://kusama.w3f.community/candidate/GnqygxyvFN7npYbMUv6t7avBnLrVB37topoDbhPVnBeeuxa\r\n- `ksm_2_erapoint` https://kusama.w3f.community/erapoints/GnqygxyvFN7npYbMUv6t7avBnLrVB37topoDbhPVnBeeuxa\r\n- `ksm_2_score` https://kusama.w3f.community/score/GnqygxyvFN7npYbMUv6t7avBnLrVB37topoDbhPVnBeeuxa\r\n- `ksm_candidates` https://kusama.w3f.community/candidates\r\n- `ksm_erastats` https://kusama.w3f.community/erastats\r\n- `ksm_location` https://kusama.w3f.community/locationstats\r\n\r\n**`POLKADOT`**\r\n- `dot_1_candidate` https://polkadot.w3f.community/candidate/149riLdwAVzXg7Cm88RcXhbuFi3zUgwrGsJSSPjC47PRxHQW\r\n- `dot_1_erapoint` https://polkadot.w3f.community/erapoints/149riLdwAVzXg7Cm88RcXhbuFi3zUgwrGsJSSPjC47PRxHQW\r\n- `dot_1_score` https://polkadot.w3f.community/score/149riLdwAVzXg7Cm88RcXhbuFi3zUgwrGsJSSPjC47PRxHQW\r\n- `dot_candidates` https://polkadot.w3f.community/candidates\r\n- `dot_erastats` https://polkadot.w3f.community/erastats\r\n- `dot_location` https://polkadot.w3f.community/locationstats\r\n\r\n# 4. Import Dashboard\r\nMatch input to data sources from drop down. If you follow the naming convention from step 3 everything should match\r\n\r\n# 5. Change top of the page links to point to your node.\r\nTop of the page click on the Gear icon > select Links\r\n\r\nModify `Polkachu_KSM-1`, `Polkachu_KSM-2`, `Polkachu_DOT-1` \r\n\r\nTo modify link, click on the box with arrow next to the link\r\n\r\n# 6. 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","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2022-05-08T09:10:54.000Z","updatedAt":"2022-05-09T13:45:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16243"},{"rel":"revisions","href":"/dashboards/16243/revisions"},{"rel":"revision","href":"/dashboards/16243/revisions/1"},{"rel":"download","href":"/dashboards/16243/revisions/1/download"},{"rel":"org","href":"/orgs/promscale"},{"rel":"images","href":"/dashboards/16243/images"},{"rel":"thumbnails","href":"/dashboards/16243/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":12057,"status":1,"statusCode":"active","orgId":107459,"orgSlug":"magnomontecerqueira","orgName":"Magno Monte Cerqueira","slug":"dashboard-servicos-do-office-365","downloads":491,"revisionId":17167,"revision":1,"name":"2 - Dashboard  Servicos do office 365 básico.(Módulo-12)","description":"Material do Treinamento da 2MTI Treinamentos & Serviços.\n","readme":"✅ SIGA-ME NAS REDES SOCIAIS\n\n▸ Instagram: https://www.instagram.com/magnomontecerqueira/\n\n▸ Linkedin: https://www.linkedin.com/in/magnomontecerqueira/\n\n▸ Facebook: https://www.facebook.com/magnomcerqueira/\n\n▸ Youtube: https://www.youtube.com/magnomontecerqueira\n\n? Quer saber mais ?\n\n✅ Canal no Telegram com dicas, truques e gambiarras d:D\n\nhttps://t.me/joinchat/VX1MrWlXIreS3d91\n\n? Site do treinamento Zabbix user 6.0 com certificado 0800?:\n\nhttps://bit.ly/3FqP9YK\n\n? Treinamento avançado com + de 945 aulas e + de 500 horas de conteúdo disponíveis?:\n\nhttps://bit.ly/3BoYAWa","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource, Elasticsearch","privacy":"public","createdAt":"2020-04-08T23:49:22.000Z","updatedAt":"2021-12-07T02:22:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12057"},{"rel":"revisions","href":"/dashboards/12057/revisions"},{"rel":"revision","href":"/dashboards/12057/revisions/1"},{"rel":"download","href":"/dashboards/12057/revisions/1/download"},{"rel":"org","href":"/orgs/magnomontecerqueira"},{"rel":"images","href":"/dashboards/12057/images"},{"rel":"thumbnails","href":"/dashboards/12057/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource","elasticsearch"]},{"id":23354,"status":1,"statusCode":"active","orgId":1414830,"orgSlug":"gsouef","orgName":"gsouef","slug":"2-ring-groups","downloads":245,"revisionId":37040,"revision":1,"name":"2_Ring Groups","description":"Ring groups dashboard analytics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Google BigQuery","privacy":"public","createdAt":"2025-04-28T13:07:14.000Z","updatedAt":"2025-04-28T13:07:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23354"},{"rel":"revisions","href":"/dashboards/23354/revisions"},{"rel":"revision","href":"/dashboards/23354/revisions/1"},{"rel":"download","href":"/dashboards/23354/revisions/1/download"},{"rel":"org","href":"/orgs/gsouef"},{"rel":"images","href":"/dashboards/23354/images"},{"rel":"thumbnails","href":"/dashboards/23354/thumbnails"}],"datasourceSlugs":["grafana-bigquery-datasource"]},{"id":23598,"status":1,"statusCode":"active","orgId":1465968,"orgSlug":"cobaltaws","orgName":"cobaltaws","slug":"2-ring-groups","downloads":199,"revisionId":37569,"revision":1,"name":"2_Ring Groups","description":"Ring groups dashboard analytics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Google BigQuery","privacy":"public","createdAt":"2025-06-24T09:40:45.000Z","updatedAt":"2025-06-24T09:40:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23598"},{"rel":"revisions","href":"/dashboards/23598/revisions"},{"rel":"revision","href":"/dashboards/23598/revisions/1"},{"rel":"download","href":"/dashboards/23598/revisions/1/download"},{"rel":"org","href":"/orgs/cobaltaws"},{"rel":"images","href":"/dashboards/23598/images"},{"rel":"thumbnails","href":"/dashboards/23598/thumbnails"}],"datasourceSlugs":["grafana-bigquery-datasource"]},{"id":23753,"status":1,"statusCode":"active","orgId":1394311,"orgSlug":"gabrielteodoro2","orgName":"gabrielteodoro2","slug":"2-ring-groups","downloads":184,"revisionId":37779,"revision":1,"name":"2_Ring Groups","description":"Ring groups dashboard analytics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Google BigQuery","privacy":"public","createdAt":"2025-07-18T18:26:52.000Z","updatedAt":"2025-07-18T18:26:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23753"},{"rel":"revisions","href":"/dashboards/23753/revisions"},{"rel":"revision","href":"/dashboards/23753/revisions/1"},{"rel":"download","href":"/dashboards/23753/revisions/1/download"},{"rel":"org","href":"/orgs/gabrielteodoro2"},{"rel":"images","href":"/dashboards/23753/images"},{"rel":"thumbnails","href":"/dashboards/23753/thumbnails"}],"datasourceSlugs":["grafana-bigquery-datasource"]},{"id":22494,"status":1,"statusCode":"active","orgId":1295880,"orgSlug":"jakubkonieczny","orgName":"jakubkonieczny","slug":"2-dashboard","downloads":250,"revisionId":35351,"revision":1,"name":"2. Dashboard","description":"postgres","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"PostgreSQL plugin","datasource":"PostgreSQL","privacy":"public","createdAt":"2024-12-09T09:21:13.000Z","updatedAt":"2024-12-09T09:25:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22494"},{"rel":"revisions","href":"/dashboards/22494/revisions"},{"rel":"revision","href":"/dashboards/22494/revisions/1"},{"rel":"download","href":"/dashboards/22494/revisions/1/download"},{"rel":"org","href":"/orgs/jakubkonieczny"},{"rel":"images","href":"/dashboards/22494/images"},{"rel":"thumbnails","href":"/dashboards/22494/thumbnails"}],"datasourceSlugs":["grafana-postgresql-datasource"]},{"id":16962,"status":1,"statusCode":"active","orgId":61412,"orgSlug":"nickyruggs","orgName":"Dell Technologies","slug":"2-powerscale-protocol-detail","downloads":325,"revisionId":36976,"revision":3,"name":"2. 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There are several flavors of it: Original is here: https://github.com/Isilon/isilon_data_insights_connector Next Gen: https://github.com/tenortim/gostats Containerized: https://github.com/j-sims/idi","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-09-13T20:39:06.000Z","updatedAt":"2025-04-23T16:37:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16962"},{"rel":"revisions","href":"/dashboards/16962/revisions"},{"rel":"revision","href":"/dashboards/16962/revisions/3"},{"rel":"download","href":"/dashboards/16962/revisions/3/download"},{"rel":"org","href":"/orgs/nickyruggs"},{"rel":"images","href":"/dashboards/16962/images"},{"rel":"thumbnails","href":"/dashboards/16962/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13851,"status":1,"statusCode":"active","orgId":454294,"orgSlug":"paulconnor1","orgName":"paulconnor1","slug":"2-credentials","downloads":375,"revisionId":24325,"revision":7,"name":"2.Credentials","description":"SSP Credential Dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-02-08T00:17:27.000Z","updatedAt":"2022-04-01T00:14:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13851"},{"rel":"revisions","href":"/dashboards/13851/revisions"},{"rel":"revision","href":"/dashboards/13851/revisions/7"},{"rel":"download","href":"/dashboards/13851/revisions/7/download"},{"rel":"org","href":"/orgs/paulconnor1"},{"rel":"images","href":"/dashboards/13851/images"},{"rel":"thumbnails","href":"/dashboards/13851/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10495,"status":1,"statusCode":"active","orgId":107459,"orgSlug":"magnomontecerqueira","orgName":"Magno Monte Cerqueira","slug":"dashboard-terminal-server","downloads":599,"revisionId":14670,"revision":1,"name":"20 - Dashboard terminal server","description":"Material do Treinamento da 2MTI Treinamentos & Serviços.\n","readme":"✅ SIGA-ME NAS REDES SOCIAIS\n\n▸ Instagram: https://www.instagram.com/magnomontecerqueira/\n\n▸ Linkedin: https://www.linkedin.com/in/magnomontecerqueira/\n\n▸ Facebook: https://www.facebook.com/magnomcerqueira/\n\n▸ Youtube: https://www.youtube.com/magnomontecerqueira\n\n? Quer saber mais ?\n\n✅ Canal no Telegram com dicas, truques e gambiarras d:D\n\nhttps://t.me/joinchat/VX1MrWlXIreS3d91\n\n? Site do treinamento Zabbix user 6.0 com certificado 0800?:\n\nhttps://bit.ly/3FqP9YK\n\n? 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Quer saber mais ?\n\n✅ Canal no Telegram com dicas, truques e gambiarras d:D\n\nhttps://t.me/joinchat/VX1MrWlXIreS3d91\n\n? Site do treinamento Zabbix user 6.0 com certificado 0800?:\n\nhttps://bit.ly/3FqP9YK\n\n? 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Quer saber mais ?\n\n✅ Canal no Telegram com dicas, truques e gambiarras d:D\n\nhttps://t.me/joinchat/VX1MrWlXIreS3d91\n\n? Site do treinamento Zabbix user 6.0 com certificado 0800?:\n\nhttps://bit.ly/3FqP9YK\n\n? 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Quer saber mais ?\n\n✅ Canal no Telegram com dicas, truques e gambiarras d:D\n\nhttps://t.me/joinchat/VX1MrWlXIreS3d91\n\n? Site do treinamento Zabbix user 6.0 com certificado 0800?:\n\nhttps://bit.ly/3FqP9YK\n\n? Treinamento avançado com + de 945 aulas e + de 500 horas de conteúdo disponíveis?:\n\nhttps://bit.ly/3BoYAWa","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2020-05-15T21:40:09.000Z","updatedAt":"2021-12-07T02:28:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12298"},{"rel":"revisions","href":"/dashboards/12298/revisions"},{"rel":"revision","href":"/dashboards/12298/revisions/1"},{"rel":"download","href":"/dashboards/12298/revisions/1/download"},{"rel":"org","href":"/orgs/magnomontecerqueira"},{"rel":"images","href":"/dashboards/12298/images"},{"rel":"thumbnails","href":"/dashboards/12298/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":12358,"status":1,"statusCode":"active","orgId":107459,"orgSlug":"magnomontecerqueira","orgName":"Magno Monte Cerqueira","slug":"dashboard-monitoramento-firewall-fortigate","downloads":555,"revisionId":17692,"revision":1,"name":"37- Dashboard monitoramento firewall fortigate (MÓDULO-07)","description":"Material do Treinamento da 2MTI Treinamentos & Serviços.\n\n","readme":"✅ SIGA-ME NAS REDES SOCIAIS\n\n▸ Instagram: https://www.instagram.com/magnomontecerqueira/\n\n▸ Linkedin: https://www.linkedin.com/in/magnomontecerqueira/\n\n▸ Facebook: https://www.facebook.com/magnomcerqueira/\n\n▸ Youtube: https://www.youtube.com/magnomontecerqueira\n\n? Quer saber mais ?\n\n✅ Canal no Telegram com dicas, truques e gambiarras d:D\n\nhttps://t.me/joinchat/VX1MrWlXIreS3d91\n\n? Site do treinamento Zabbix user 6.0 com certificado 0800?:\n\nhttps://bit.ly/3FqP9YK\n\n? Treinamento avançado com + de 945 aulas e + de 500 horas de conteúdo disponíveis?:\n\nhttps://bit.ly/3BoYAWa","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2020-05-25T17:21:22.000Z","updatedAt":"2021-12-07T02:28:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12358"},{"rel":"revisions","href":"/dashboards/12358/revisions"},{"rel":"revision","href":"/dashboards/12358/revisions/1"},{"rel":"download","href":"/dashboards/12358/revisions/1/download"},{"rel":"org","href":"/orgs/magnomontecerqueira"},{"rel":"images","href":"/dashboards/12358/images"},{"rel":"thumbnails","href":"/dashboards/12358/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":12360,"status":1,"statusCode":"active","orgId":107459,"orgSlug":"magnomontecerqueira","orgName":"Magno Monte Cerqueira","slug":"dashboard-monitoramento-sonicwall","downloads":831,"revisionId":17694,"revision":1,"name":"38- Dashboard monitoramento firewall SonicWall (MÓDULO-08)","description":"Material do Treinamento da 2MTI Treinamentos & Serviços.\n","readme":"✅ SIGA-ME NAS REDES SOCIAIS\n\n▸ Instagram: https://www.instagram.com/magnomontecerqueira/\n\n▸ Linkedin: https://www.linkedin.com/in/magnomontecerqueira/\n\n▸ Facebook: https://www.facebook.com/magnomcerqueira/\n\n▸ Youtube: https://www.youtube.com/magnomontecerqueira\n\n? Quer saber mais ?\n\n✅ Canal no Telegram com dicas, truques e gambiarras d:D\n\nhttps://t.me/joinchat/VX1MrWlXIreS3d91\n\n? Site do treinamento Zabbix user 6.0 com certificado 0800?:\n\nhttps://bit.ly/3FqP9YK\n\n? Treinamento avançado com + de 945 aulas e + de 500 horas de conteúdo disponíveis?:\n\nhttps://bit.ly/3BoYAWa","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2020-05-26T04:06:53.000Z","updatedAt":"2021-12-07T02:29:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12360"},{"rel":"revisions","href":"/dashboards/12360/revisions"},{"rel":"revision","href":"/dashboards/12360/revisions/1"},{"rel":"download","href":"/dashboards/12360/revisions/1/download"},{"rel":"org","href":"/orgs/magnomontecerqueira"},{"rel":"images","href":"/dashboards/12360/images"},{"rel":"thumbnails","href":"/dashboards/12360/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":12364,"status":1,"statusCode":"active","orgId":107459,"orgSlug":"magnomontecerqueira","orgName":"Magno Monte Cerqueira","slug":"dashboard-firewall-sophos-sg","downloads":516,"revisionId":17702,"revision":1,"name":"39 - Dashboard Firewall Sophos SG (Módulo-09)","description":"Material do Treinamento da 2MTI Treinamentos & Serviços.\n","readme":"✅ SIGA-ME NAS REDES SOCIAIS\n\n▸ Instagram: https://www.instagram.com/magnomontecerqueira/\n\n▸ Linkedin: https://www.linkedin.com/in/magnomontecerqueira/\n\n▸ Facebook: https://www.facebook.com/magnomcerqueira/\n\n▸ Youtube: https://www.youtube.com/magnomontecerqueira\n\n? Quer saber mais ?\n\n✅ Canal no Telegram com dicas, truques e gambiarras d:D\n\nhttps://t.me/joinchat/VX1MrWlXIreS3d91\n\n? Site do treinamento Zabbix user 6.0 com certificado 0800?:\n\nhttps://bit.ly/3FqP9YK\n\n? Treinamento avançado com + de 945 aulas e + de 500 horas de conteúdo disponíveis?:\n\nhttps://bit.ly/3BoYAWa","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2020-05-27T05:08:48.000Z","updatedAt":"2021-12-07T02:29:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12364"},{"rel":"revisions","href":"/dashboards/12364/revisions"},{"rel":"revision","href":"/dashboards/12364/revisions/1"},{"rel":"download","href":"/dashboards/12364/revisions/1/download"},{"rel":"org","href":"/orgs/magnomontecerqueira"},{"rel":"images","href":"/dashboards/12364/images"},{"rel":"thumbnails","href":"/dashboards/12364/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":10483,"status":1,"statusCode":"active","orgId":171305,"orgSlug":"meo","orgName":"meo","slug":"3ch-simple-dashboard","downloads":1660,"revisionId":15116,"revision":2,"name":"3CH Simple Dashboard","description":"My ClickHouse simple dashboard","readme":"Simple ClickHouse Database Grafana performance dashboard.\r\nData collection is performed by a simple SQL script in ClickHouse itself.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Altinity plugin for ClickHouse","privacy":"public","createdAt":"2019-07-05T11:38:35.000Z","updatedAt":"2019-09-05T10:24:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/10483"},{"rel":"revisions","href":"/dashboards/10483/revisions"},{"rel":"revision","href":"/dashboards/10483/revisions/2"},{"rel":"download","href":"/dashboards/10483/revisions/2/download"},{"rel":"org","href":"/orgs/meo"},{"rel":"images","href":"/dashboards/10483/images"},{"rel":"thumbnails","href":"/dashboards/10483/thumbnails"}],"datasourceSlugs":["vertamedia-clickhouse-datasource"]},{"id":17307,"status":1,"statusCode":"active","orgId":735071,"orgSlug":"amnesiaa","orgName":"amnesiaa","slug":"3cx-dashboard","downloads":987,"revisionId":26610,"revision":1,"name":"3cx Dashboard","description":"3cx easy Monitoring Dashboard","readme":"### Download & Installation go\r\nDownload von go\r\n```bash\r\nwget https://go.dev/dl/go1.19.2.linux-amd64.tar.gz\r\ntar xzvf go1.19.2.linux-amd64.tar.gz\r\n```\r\n\r\nInstallation go:\r\n```bash\r\ncd go\r\nmv go /usr/local/\r\nexport PATH=$PATH:/usr/local/go/bin\r\n```\r\n### Installation 3cx_exporter\r\nKlonen git repo\r\n```bash\r\ngit clone https://github.com/digineo/3cx_exporter.git\r\n```\r\nInstallation 3cx_exporter\r\n```bash\r\ncd 3cx_exporter/\r\nnano config.json\r\ngo build\r\nmv 3cx_exporter /usr/bin/\r\nmkdir -p  /etc/3cx_exporter/\r\ncp fixtures/config.json /etc/3cx_exporter/\r\n```\r\n\r\nSystemd service für 3cx_exporter erstellen:\r\n```bash\r\nnano /etc/systemd/system/3cx_exporter.service\r\n\r\n[Unit]\r\nDescription=3CX Prometheus Exporter\r\nAfter=network.target\r\n\r\n[Service]\r\nType=simple\r\nRestart=always\r\nExecStart=/usr/bin/3cx_exporter -config /etc/3cx_exporter/config.json\r\n```\r\n\r\n#### Firewall regeln \r\n3cx verwendet (**nftables**)[[nftables]]. Somit muss der Port erst freigegeben werden, sodass von außen auf diesen zugegriffen werden kann.\r\n```bash\r\ntcp dport 9523 ip saddr  <YOUR-IP-RANGE>/24 accept;\r\n```\r\n### Downlaod node_exporter\r\n\r\nDownload `node_exporter`\r\n```bash\r\nwget https://github.com/prometheus/node_exporter/releases/download/v1.4.0/node_exporter-1.4.0.linux-amd64.tar.gz\r\n```\r\n\r\nEntpacken `node_exporter\r\n```bash\r\ntar xzvf node_exporter-1.4.0.darwin-amd64\r\n```\r\n\r\n### Installation\r\nnode_exporter in das Verzeichnis kopieren:\r\n```bash\r\nmv node_exporter /usr/local/bin\r\n```\r\nUser anlegen für node_exporter ohne login\r\n```bash\r\nuseradd --no-create-home --shell /bin/false node_exporter\r\n```\r\nRechte kontext auf User node_exporter ändern\r\n```bash\r\nchown node_exporter:node_exporter /usr/local/bin/node_exporter\r\n```\r\n#### Systemd Service erstellen\r\n\r\n```bash\r\nnano /etc/systemd/system/node_exporter.service\r\n\r\n[Unit]\r\nDescription=Node Exporter\r\nWants=network-online.target\r\nAfter=network-online.target\r\n\r\n[Service]\r\nUser=node_exporter\r\nGroup=node_exporter\r\nType=simple\r\nExecStart=/usr/local/bin/node_exporter\r\n\r\n[Install]\r\nWantedBy=multi-user.target\r\n\r\n```\r\n\r\n```bash\r\nsystemctl daemon-reload\r\nsystemctl start node_exporter\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, Prometheus","privacy":"public","createdAt":"2022-10-30T18:06:49.000Z","updatedAt":"2022-10-30T18:21:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17307"},{"rel":"revisions","href":"/dashboards/17307/revisions"},{"rel":"revision","href":"/dashboards/17307/revisions/1"},{"rel":"download","href":"/dashboards/17307/revisions/1/download"},{"rel":"org","href":"/orgs/amnesiaa"},{"rel":"images","href":"/dashboards/17307/images"},{"rel":"thumbnails","href":"/dashboards/17307/thumbnails"}],"datasourceSlugs":["__expr__","prometheus"]},{"id":21186,"status":1,"statusCode":"active","orgId":1115201,"orgSlug":"axus3cx","orgName":"axus3cx","slug":"3cx-dashboard","downloads":665,"revisionId":32966,"revision":1,"name":"3cx Dashboard","description":"3cx easy Monitoring Dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, Prometheus","privacy":"public","createdAt":"2024-05-31T14:25:09.000Z","updatedAt":"2024-05-31T14:26:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21186"},{"rel":"revisions","href":"/dashboards/21186/revisions"},{"rel":"revision","href":"/dashboards/21186/revisions/1"},{"rel":"download","href":"/dashboards/21186/revisions/1/download"},{"rel":"org","href":"/orgs/axus3cx"},{"rel":"images","href":"/dashboards/21186/images"},{"rel":"thumbnails","href":"/dashboards/21186/thumbnails"}],"datasourceSlugs":["__expr__","prometheus"]},{"id":23389,"status":1,"statusCode":"active","orgId":1409061,"orgSlug":"mommamxx","orgName":"mommamxx","slug":"3cx-dashboard","downloads":280,"revisionId":37125,"revision":1,"name":"3cx Dashboard","description":"3cx easy Monitoring Dashboard","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"Other","datasource":"__expr__, Prometheus","privacy":"public","createdAt":"2025-05-07T16:25:32.000Z","updatedAt":"2025-05-07T16:48:06.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23389"},{"rel":"revisions","href":"/dashboards/23389/revisions"},{"rel":"revision","href":"/dashboards/23389/revisions/1"},{"rel":"download","href":"/dashboards/23389/revisions/1/download"},{"rel":"org","href":"/orgs/mommamxx"},{"rel":"images","href":"/dashboards/23389/images"},{"rel":"thumbnails","href":"/dashboards/23389/thumbnails"}],"datasourceSlugs":["__expr__","prometheus"]},{"id":23424,"status":1,"statusCode":"active","orgId":1427771,"orgSlug":"avantestmail","orgName":"avantestmail","slug":"1-overview","downloads":293,"revisionId":37189,"revision":1,"name":"3cxcalldashboard","description":"Landing Dashboard and call overview information","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"Apache plugin","datasource":"Google BigQuery","privacy":"public","createdAt":"2025-05-13T14:25:44.000Z","updatedAt":"2025-05-13T14:27:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23424"},{"rel":"revisions","href":"/dashboards/23424/revisions"},{"rel":"revision","href":"/dashboards/23424/revisions/1"},{"rel":"download","href":"/dashboards/23424/revisions/1/download"},{"rel":"org","href":"/orgs/avantestmail"},{"rel":"images","href":"/dashboards/23424/images"},{"rel":"thumbnails","href":"/dashboards/23424/thumbnails"}],"datasourceSlugs":["grafana-bigquery-datasource"]},{"id":23395,"status":1,"statusCode":"active","orgId":1152010,"orgSlug":"bugwz","orgName":"bugwz","slug":"3fs-cluster","downloads":552,"revisionId":37151,"revision":1,"name":"3FS Cluster","description":"The Grafana monitoring dashboard for the cluster granularity of the 3FS (Fire-Flyer File System).","readme":"# Instructions\r\n\r\n1. Install the `ClickHouse` plugin in Grafana.\r\n2. Create a new data source in Grafana named `3fs-clickhouse`.\r\n3. Use the monitoring dashboard.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"ClickHouse","privacy":"public","createdAt":"2025-05-08T16:08:12.000Z","updatedAt":"2025-05-09T02:11:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23395"},{"rel":"revisions","href":"/dashboards/23395/revisions"},{"rel":"revision","href":"/dashboards/23395/revisions/1"},{"rel":"download","href":"/dashboards/23395/revisions/1/download"},{"rel":"org","href":"/orgs/bugwz"},{"rel":"images","href":"/dashboards/23395/images"},{"rel":"thumbnails","href":"/dashboards/23395/thumbnails"}],"datasourceSlugs":["grafana-clickhouse-datasource"]},{"id":23405,"status":1,"statusCode":"active","orgId":1152010,"orgSlug":"bugwz","orgName":"bugwz","slug":"3fs-foundationdb","downloads":279,"revisionId":37166,"revision":1,"name":"3FS FoundationDB","description":"The Grafana monitoring dashboard for the foundationdb granularity of the 3FS (Fire-Flyer File System).","readme":"# Instructions\r\n1. Install the `ClickHouse` plugin in Grafana.\r\n2. Create a new data source in Grafana named `3fs-clickhouse`.\r\n3. Use the monitoring dashboard.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"ClickHouse","privacy":"public","createdAt":"2025-05-10T15:17:08.000Z","updatedAt":"2025-05-10T15:49:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23405"},{"rel":"revisions","href":"/dashboards/23405/revisions"},{"rel":"revision","href":"/dashboards/23405/revisions/1"},{"rel":"download","href":"/dashboards/23405/revisions/1/download"},{"rel":"org","href":"/orgs/bugwz"},{"rel":"images","href":"/dashboards/23405/images"},{"rel":"thumbnails","href":"/dashboards/23405/thumbnails"}],"datasourceSlugs":["grafana-clickhouse-datasource"]},{"id":23406,"status":1,"statusCode":"active","orgId":1152010,"orgSlug":"bugwz","orgName":"bugwz","slug":"3fs-fuse","downloads":395,"revisionId":37167,"revision":1,"name":"3FS Fuse","description":"The Grafana monitoring dashboard for the fuse granularity of the 3FS (Fire-Flyer File System).","readme":"# Instructions\r\n\r\n1. Install the `ClickHouse` plugin in Grafana.\r\n2. Create a new data source in Grafana named `3fs-clickhouse`.\r\n3. Use the monitoring dashboard.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"ClickHouse","privacy":"public","createdAt":"2025-05-10T15:42:55.000Z","updatedAt":"2025-05-10T16:19:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23406"},{"rel":"revisions","href":"/dashboards/23406/revisions"},{"rel":"revision","href":"/dashboards/23406/revisions/1"},{"rel":"download","href":"/dashboards/23406/revisions/1/download"},{"rel":"org","href":"/orgs/bugwz"},{"rel":"images","href":"/dashboards/23406/images"},{"rel":"thumbnails","href":"/dashboards/23406/thumbnails"}],"datasourceSlugs":["grafana-clickhouse-datasource"]},{"id":23407,"status":1,"statusCode":"active","orgId":1152010,"orgSlug":"bugwz","orgName":"bugwz","slug":"3fs-meta","downloads":536,"revisionId":37168,"revision":1,"name":"3FS Meta","description":"The Grafana monitoring dashboard for the meta granularity of the 3FS (Fire-Flyer File System).","readme":"# Instructions\r\n1. Install the `ClickHouse` plugin in Grafana.\r\n2. Create a new data source in Grafana named `3fs-clickhouse`.\r\n3. Use the monitoring dashboard.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"ClickHouse","privacy":"public","createdAt":"2025-05-10T16:13:51.000Z","updatedAt":"2025-05-10T16:19:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23407"},{"rel":"revisions","href":"/dashboards/23407/revisions"},{"rel":"revision","href":"/dashboards/23407/revisions/1"},{"rel":"download","href":"/dashboards/23407/revisions/1/download"},{"rel":"org","href":"/orgs/bugwz"},{"rel":"images","href":"/dashboards/23407/images"},{"rel":"thumbnails","href":"/dashboards/23407/thumbnails"}],"datasourceSlugs":["grafana-clickhouse-datasource"]},{"id":23413,"status":1,"statusCode":"active","orgId":1152010,"orgSlug":"bugwz","orgName":"bugwz","slug":"3fs-mgmtd","downloads":506,"revisionId":37175,"revision":1,"name":"3FS Mgmtd","description":"The Grafana monitoring dashboard for the mgmtd granularity of the 3FS (Fire-Flyer File System).","readme":"# Instructions\r\n1. Install the `ClickHouse` plugin in Grafana.\r\n2. Create a new data source in Grafana named `3fs-clickhouse`.\r\n3. 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Config\n\n[[inputs.jolokia2_agent]]\nurls = [\"http://localhost:8161/api/jolokia\"]\nname_prefix = \"activemq.\"\nusername = \"admin\"\npassword = \"admin\"\n\n### JVM Generic\n\n[[inputs.jolokia2_agent.metric]]\nname  = \"OperatingSystem\"\nmbean = \"java.lang:type=OperatingSystem\"\npaths = [\"ProcessCpuLoad\",\"SystemLoadAverage\",\"SystemCpuLoad\"]\n\n[[inputs.jolokia2_agent.metric]]\nname  = \"jvm_runtime\"\nmbean = \"java.lang:type=Runtime\"\npaths = [\"Uptime\"]\n\n[[inputs.jolokia2_agent.metric]]\nname  = \"jvm_memory\"\nmbean = \"java.lang:type=Memory\"\npaths = [\"HeapMemoryUsage\", \"NonHeapMemoryUsage\", \"ObjectPendingFinalizationCount\"]\n\n[[inputs.jolokia2_agent.metric]]\nname     = \"jvm_garbage_collector\"\nmbean    = \"java.lang:name=*,type=GarbageCollector\"\npaths    = [\"CollectionTime\", \"CollectionCount\"]\ntag_keys = [\"name\"]\n\n[[inputs.jolokia2_agent.metric]]\nname       = \"jvm_memory_pool\"\nmbean      = \"java.lang:name=*,type=MemoryPool\"\npaths      = [\"Usage\", \"PeakUsage\", \"CollectionUsage\"]\ntag_keys   = [\"name\"]\ntag_prefix = \"pool_\"\n\n### ACTIVEMQ\n\n[[inputs.jolokia2_agent.metric]]\nname     = \"queue\"\nmbean    = \"org.apache.activemq:brokerName=*,destinationName=*,destinationType=Queue,type=Broker\"\npaths    = [\"QueueSize\",\"EnqueueCount\",\"ConsumerCount\",\"DispatchCount\",\"DequeueCount\",\"ProducerCount\",\"InFlightCount\"]\ntag_keys = [\"brokerName\",\"destinationName\"]\n\n[[inputs.jolokia2_agent.metric]]\nname     = \"topic\"\nmbean    = \"org.apache.activemq:brokerName=*,destinationName=*,destinationType=Topic,type=Broker\"\npaths    = [\"ProducerCount\",\"DequeueCount\",\"ConsumerCount\",\"QueueSize\",\"EnqueueCount\"]\ntag_keys = [\"brokerName\",\"destinationName\"]\n\n[[inputs.jolokia2_agent.metric]]\nname     = \"broker\"\nmbean    = \"org.apache.activemq:brokerName=*,type=Broker\"\npaths    = [\"TotalConsumerCount\",\"TotalMessageCount\",\"TotalEnqueueCount\",\"TotalDequeueCount\",\"MemoryLimit\",\"MemoryPercentUsage\",\"StoreLimit\",\"StorePercentUsage\",\"TempPercentUsage\",\"TempLimit\"]\ntag_keys = [\"brokerName\"]","collectorType":"Telegraf","collectorConfig":"","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-08-09T10:05:46.000Z","updatedAt":"2019-08-14T09:06:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10702"},{"rel":"revisions","href":"/dashboards/10702/revisions"},{"rel":"revision","href":"/dashboards/10702/revisions/4"},{"rel":"download","href":"/dashboards/10702/revisions/4/download"},{"rel":"org","href":"/orgs/panterrap"},{"rel":"images","href":"/dashboards/10702/images"},{"rel":"thumbnails","href":"/dashboards/10702/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23349,"status":1,"statusCode":"active","orgId":871634,"orgSlug":"dcnim94","orgName":"dcnim94","slug":"activemq-artemis","downloads":742,"revisionId":37180,"revision":2,"name":"ActiveMQ - Artemis","description":"Dashboard for monitoring ActiveMQ Artemis.Git repo: https://github.com/underndog/activemq-helm-chart","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-28T04:39:52.000Z","updatedAt":"2025-05-13T04:57:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23349"},{"rel":"revisions","href":"/dashboards/23349/revisions"},{"rel":"revision","href":"/dashboards/23349/revisions/2"},{"rel":"download","href":"/dashboards/23349/revisions/2/download"},{"rel":"org","href":"/orgs/dcnim94"},{"rel":"images","href":"/dashboards/23349/images"},{"rel":"thumbnails","href":"/dashboards/23349/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18992,"status":1,"statusCode":"active","orgId":880858,"orgSlug":"leandrosmaciel","orgName":"leandrosmaciel","slug":"actual-automation","downloads":297,"revisionId":29109,"revision":1,"name":"Actual Automation","description":"Teste","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Microsoft SQL Server","privacy":"public","createdAt":"2023-06-16T17:29:24.000Z","updatedAt":"2023-06-16T17:30:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18992"},{"rel":"revisions","href":"/dashboards/18992/revisions"},{"rel":"revision","href":"/dashboards/18992/revisions/1"},{"rel":"download","href":"/dashboards/18992/revisions/1/download"},{"rel":"org","href":"/orgs/leandrosmaciel"},{"rel":"images","href":"/dashboards/18992/images"},{"rel":"thumbnails","href":"/dashboards/18992/thumbnails"}],"datasourceSlugs":["mssql"]},{"id":22789,"status":1,"statusCode":"active","orgId":1339761,"orgSlug":"grafanae9c3","orgName":"grafanae9c3","slug":"actual-budget","downloads":453,"revisionId":35966,"revision":2,"name":"Actual Budget","description":"Simple Dashboard for Actual Budget","readme":"#  Actual Budget Prometheus Exporter\r\n\r\n### Description\r\n\r\nSimple Dashboard for [Actual Budget](https://actualbudget.com/).\r\n\r\n### Links\r\n\r\n- GitHub: [sakowicz/actual-budget-prometheus-exporter](https://github.com/sakowicz/actual-budget-prometheus-exporter).\r\n- Docker Hub: [sakowicz/actual-budget-prometheus-exporter](https://hub.docker.com/r/sakowicz/actual-budget-prometheus-exporter).\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-02-02T16:35:33.000Z","updatedAt":"2025-02-02T20:29:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22789"},{"rel":"revisions","href":"/dashboards/22789/revisions"},{"rel":"revision","href":"/dashboards/22789/revisions/2"},{"rel":"download","href":"/dashboards/22789/revisions/2/download"},{"rel":"org","href":"/orgs/grafanae9c3"},{"rel":"images","href":"/dashboards/22789/images"},{"rel":"thumbnails","href":"/dashboards/22789/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13195,"status":1,"statusCode":"active","orgId":226500,"orgSlug":"hmukanda","orgName":"hmukanda","slug":"ad-security-stats","downloads":837,"revisionId":19166,"revision":1,"name":"AD Security Stats","description":"A graph to display Important Active Directory Accounts Statistics like number of locked out accounts, password resets over time etc","readme":"Graphs to display Active Directory user stats like Password resets over time, locked out accounts, new accounts that are added etc.\nSetup instructions can be found here: https://github.com/lmakonem/ADSecurity-Stats-Grafana","collectorType":"Telegraf","collectorConfig":"[[inputs.exec]]\n  commands = ['powershell \"C:\\Users\\Administrator\\Documents\\scripts\\ADSecurityStats.ps1\"']\n  timeout = \"60s\"\n  data_format = \"influx\"\n  interval = \"300s\"","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-10-17T05:43:34.000Z","updatedAt":"2020-10-17T05:50:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":3.5,"links":[{"rel":"self","href":"/dashboards/13195"},{"rel":"revisions","href":"/dashboards/13195/revisions"},{"rel":"revision","href":"/dashboards/13195/revisions/1"},{"rel":"download","href":"/dashboards/13195/revisions/1/download"},{"rel":"org","href":"/orgs/hmukanda"},{"rel":"images","href":"/dashboards/13195/images"},{"rel":"thumbnails","href":"/dashboards/13195/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15239,"status":1,"statusCode":"active","orgId":564748,"orgSlug":"hejduk","orgName":"hejduk","slug":"adax","downloads":282,"revisionId":22864,"revision":1,"name":"Adax","description":"General-purpose dashboard for metrics from adax-prometheus-exporter","readme":"https://github.com/vilhelmprytz/adax-prometheus-exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-11-14T19:17:27.000Z","updatedAt":"2021-11-14T19:18:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15239"},{"rel":"revisions","href":"/dashboards/15239/revisions"},{"rel":"revision","href":"/dashboards/15239/revisions/1"},{"rel":"download","href":"/dashboards/15239/revisions/1/download"},{"rel":"org","href":"/orgs/hejduk"},{"rel":"images","href":"/dashboards/15239/images"},{"rel":"thumbnails","href":"/dashboards/15239/thumbnails"}]},{"id":19669,"status":1,"statusCode":"active","orgId":954592,"orgSlug":"danielbabcock","orgName":"danielbabcock","slug":"adc-health-dashboard","downloads":304,"revisionId":30188,"revision":1,"name":"ADC Health Dashboard","description":"DaaS Check","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"cpu, conntrack, diskstats, stat","datasource":null,"privacy":"public","createdAt":"2023-09-27T15:56:20.000Z","updatedAt":"2023-09-27T15:59:06.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19669"},{"rel":"revisions","href":"/dashboards/19669/revisions"},{"rel":"revision","href":"/dashboards/19669/revisions/1"},{"rel":"download","href":"/dashboards/19669/revisions/1/download"},{"rel":"org","href":"/orgs/danielbabcock"},{"rel":"images","href":"/dashboards/19669/images"},{"rel":"thumbnails","href":"/dashboards/19669/thumbnails"}]},{"id":21403,"status":1,"statusCode":"active","orgId":1159984,"orgSlug":"sholdee","orgName":"sholdee","slug":"adguard-dns-metrics","downloads":381,"revisionId":40640,"revision":3,"name":"AdGuard DNS Metrics","description":"A dashboard for AdGuard DNS metrics.","readme":"# Overview\r\n\r\nThis exporter is primarily intended to run as a sidecar container for AdGuard Home running in Kubernetes, enabling metrics visibility across multiple replica instances. It works by mounting to AdGuard's work directory and reading lines from querylog.json, as demonstrated in the deployment example below. The exporter is written in Go and uses a distroless image running as nonroot to align with container best-practices.\r\n\r\nExporter sidecar container: https://hub.docker.com/r/sholdee/adguardexporter\r\n\r\n# Available metrics:\r\n```\r\nagh_dns_queries_total: Total number of DNS queries\r\nagh_blocked_dns_queries_total: Total number of blocked DNS queries\r\nagh_dns_query_types_total: DNS query types and respective counts\r\nagh_dns_query_hosts_total: Top 100 DNS query hosts\r\nagh_blocked_dns_query_hosts_total: Top 100 blocked DNS query hosts\r\nagh_safe_search_enforced_hosts_total: Safe search enforced hosts\r\nagh_dns_average_response_time: Average response time of all queries in ms\r\nagh_dns_average_upstream_response_time: Average response time of upstream servers in ms\r\n```\r\n\r\n# How to use this container.\r\n\r\nEnsure that Adguard is configured to dump query log to file at regular interval using low `size_memory` setting. This example will cause queries to be logged every 5 lines:\r\n\r\n### secret.yaml\r\n```yaml\r\napiVersion: v1\r\nkind: Secret\r\nmetadata:\r\n  name: adguard-secret\r\n  namespace: adguard\r\ntype: Opaque\r\nstringData:\r\n  AdGuardHome.yaml: |\r\n    # ... [earlier configuration omitted]\r\n\r\n    querylog:\r\n      dir_path: \"\"\r\n      ignored:\r\n        - localhost\r\n      interval: 24h\r\n      size_memory: 5\r\n      enabled: true\r\n      file_enabled: true\r\n\r\n    # ... [remaining configuration omitted]\r\n```\r\n\r\nAdd the sidecar container to your existing Adguard deployment manifest.\r\n\r\n### deployment.yaml\r\n```yaml\r\napiVersion: apps/v1\r\nkind: Deployment\r\nmetadata:\r\n  name: &app adguard\r\n  namespace: *app\r\nspec:\r\n  replicas: 3\r\n  strategy:\r\n    type: RollingUpdate\r\n  selector:\r\n    matchLabels:\r\n      app: *app\r\n  template:\r\n    metadata:\r\n      labels:\r\n        app: *app\r\n    spec:\r\n      securityContext:\r\n        runAsNonRoot: true\r\n        runAsUser: 65532\r\n        runAsGroup: 65532\r\n        fsGroup: 65532\r\n        seccompProfile:\r\n          type: RuntimeDefault\r\n      topologySpreadConstraints:\r\n      - maxSkew: 1\r\n        topologyKey: kubernetes.io/hostname\r\n        whenUnsatisfiable: DoNotSchedule\r\n        labelSelector:\r\n          matchLabels:\r\n            app: *app\r\n      initContainers:\r\n      - name: adguard-init\r\n        image: busybox:1.36.1\r\n        securityContext:\r\n          capabilities:\r\n            drop:\r\n            - ALL\r\n          readOnlyRootFilesystem: true\r\n          runAsNonRoot: true\r\n          runAsUser: 65532\r\n          runAsGroup: 65532\r\n          allowPrivilegeEscalation: false\r\n        imagePullPolicy: IfNotPresent\r\n        command: [\"sh\", \"-c\", \"cp /home/AdGuardHome.yaml /config/AdGuardHome.yaml; chmod 644 /config/AdGuardHome.yaml\"]\r\n        volumeMounts:\r\n          - mountPath: /home\r\n            name: adguard-secret\r\n          - mountPath: /config\r\n            name: adguard-conf\r\n      containers:\r\n      - name: adguard-home\r\n        image: adguard/adguardhome:v0.107.52\r\n        securityContext:\r\n          capabilities:\r\n            drop:\r\n            - ALL\r\n            add:\r\n            - NET_BIND_SERVICE\r\n          readOnlyRootFilesystem: true\r\n          runAsNonRoot: true\r\n          runAsUser: 65532\r\n          runAsGroup: 65532\r\n          allowPrivilegeEscalation: false\r\n        imagePullPolicy: IfNotPresent\r\n        ports:\r\n        - containerPort: 53\r\n          name: dns\r\n          protocol: UDP\r\n        - containerPort: 53\r\n          name: dnstcp\r\n          protocol: TCP\r\n        - containerPort: 3000\r\n          name: http-initial\r\n          protocol: TCP\r\n        - containerPort: 80\r\n          name: http\r\n          protocol: TCP\r\n        volumeMounts:\r\n        - name: adguard-data\r\n          mountPath: /opt/adguardhome/work\r\n        - name: adguard-conf\r\n          mountPath: /opt/adguardhome/conf\r\n        resources:\r\n          requests:\r\n            memory: 150Mi\r\n            cpu: \"15m\"\r\n          limits:\r\n            memory: 400Mi\r\n        livenessProbe: &probe\r\n          exec:\r\n            command:\r\n            - /bin/sh\r\n            - -c\r\n            - nslookup localhost 127.0.0.1\r\n        readinessProbe: *probe\r\n      - name: adguard-exporter\r\n        image: ghcr.io/sholdee/adguard-exporter:v2.0.2\r\n        securityContext:\r\n          capabilities:\r\n            drop:\r\n            - ALL\r\n          readOnlyRootFilesystem: true\r\n          runAsNonRoot: true\r\n          runAsUser: 65532\r\n          runAsGroup: 65532\r\n          allowPrivilegeEscalation: false\r\n        imagePullPolicy: IfNotPresent\r\n        ports:\r\n        - containerPort: 8000\r\n          name: metrics\r\n          protocol: TCP\r\n        volumeMounts:\r\n        - name: adguard-data\r\n          mountPath: /opt/adguardhome/work\r\n        livenessProbe:\r\n          httpGet:\r\n            path: /livez\r\n            port: metrics\r\n        readinessProbe:\r\n          httpGet:\r\n            path: /readyz\r\n            port: metrics\r\n      volumes:\r\n      - emptyDir: {}\r\n        name: adguard-data\r\n      - emptyDir: {}\r\n        name: adguard-conf\r\n      - name: adguard-secret\r\n        secret:\r\n          secretName: adguard-secret\r\n```\r\n\r\nAdd metrics port to service definition\r\n\r\n### service.yaml\r\n```yaml\r\napiVersion: v1\r\nkind: Service\r\nmetadata:\r\n  name: adguard-http\r\n  namespace: adguard\r\n  labels:\r\n    app: adguard\r\nspec:\r\n  selector:\r\n    app: adguard\r\n  ports:\r\n  - protocol: TCP\r\n    port: 80\r\n    targetPort: 80\r\n    name: http\r\n  - port: 8000\r\n    protocol: TCP\r\n    targetPort: 8000\r\n    name: metrics\r\n  type: ClusterIP\r\n```\r\n\r\nCreate a service monitor for Prometheus to start scraping metrics.\r\n\r\n### servicemonitor.yaml\r\n```yaml\r\napiVersion: monitoring.coreos.com/v1\r\nkind: ServiceMonitor\r\nmetadata:\r\n  name: adguard-metrics\r\n  namespace: adguard\r\n  labels:\r\n    app: adguard\r\nspec:\r\n  selector:\r\n    matchLabels:\r\n      app: adguard\r\n  namespaceSelector:\r\n    matchNames:\r\n    - adguard\r\n  endpoints:\r\n  - port: metrics\r\n    interval: 30s\r\n    path: /metrics\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2024-06-27T15:07:52.000Z","updatedAt":"2026-05-01T22:50:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21403"},{"rel":"revisions","href":"/dashboards/21403/revisions"},{"rel":"revision","href":"/dashboards/21403/revisions/3"},{"rel":"download","href":"/dashboards/21403/revisions/3/download"},{"rel":"org","href":"/orgs/sholdee"},{"rel":"images","href":"/dashboards/21403/images"},{"rel":"thumbnails","href":"/dashboards/21403/thumbnails"}]},{"id":13330,"status":1,"statusCode":"active","orgId":432721,"orgSlug":"ebrianne","orgName":"ebrianne","slug":"adguard-exporter","downloads":1301596,"revisionId":19398,"revision":3,"name":"Adguard Exporter","description":"This is a Adguard dashboard when using the https://github.com/ebrianne/adguard-exporter Prometheus exporter","readme":"## Information\n\nThis is a dashboard for AdguardHome's Raspberry PI ad blocker. It is based on the famous pihole dashboard [available here](https://grafana.com/dashboards/10176).\n\nadguard-exporter sources and binaries are available here: [https://github.com/ebrianne/adguard-exporter](https://github.com/ebrianne/adguard-exporter)\n\n## Available Prometheus metrics\n\n| Metric name                       | Description                                                          |\n|:---------------------------------:|----------------------------------------------------------------------|\n| adguard_avg_processing_time       | This represent the average DNS query processing time                 |\n| adguard_num_blocked_filtering     | This represent the number of blocked DNS queries                     |\n| adguard_num_dns_queries           | This represent the number of DNS queries                             |\n| adguard_num_replaced_parental     | This represent the number of blocked DNS queries (parental)          |\n| adguard_num_replaced_safebrowsing | This represent the number of blocked DNS queries (safe browsing)     |\n| adguard_num_replaced_safesearch   | This represent the number of blocked DNS queries (safe search)       |\n| adguard_top_blocked_domains       | This represent the top blocked domains                               |\n| adguard_top_clients               | This represent the top clients                                       |\n| adguard_top_queried_domains       | This represent the top domains that are queried                      |\n| adguard_query_types               | This represent the types of DNS queries                              |\n| running                           | Is Adguard running?                                                  |\n| protection_enabled                | Is the protection enabled?                                           |","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-02T22:23:30.000Z","updatedAt":"2020-11-04T17:03:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13330"},{"rel":"revisions","href":"/dashboards/13330/revisions"},{"rel":"revision","href":"/dashboards/13330/revisions/3"},{"rel":"download","href":"/dashboards/13330/revisions/3/download"},{"rel":"org","href":"/orgs/ebrianne"},{"rel":"images","href":"/dashboards/13330/images"},{"rel":"thumbnails","href":"/dashboards/13330/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14038,"status":1,"statusCode":"active","orgId":285497,"orgSlug":"lbreggi","orgName":"lbreggi","slug":"adguard-exporter","downloads":359,"revisionId":20573,"revision":1,"name":"Adguard Exporter","description":"This is a Adguard dashboard when using the https://github.com/ebrianne/adguard-exporter Prometheus exporter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-03-10T16:16:06.000Z","updatedAt":"2021-03-10T16:16:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14038"},{"rel":"revisions","href":"/dashboards/14038/revisions"},{"rel":"revision","href":"/dashboards/14038/revisions/1"},{"rel":"download","href":"/dashboards/14038/revisions/1/download"},{"rel":"org","href":"/orgs/lbreggi"},{"rel":"images","href":"/dashboards/14038/images"},{"rel":"thumbnails","href":"/dashboards/14038/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20799,"status":1,"statusCode":"active","orgId":1087173,"orgSlug":"henrywhitaker3","orgName":"henrywhitaker3","slug":"adguard-home-exporter","downloads":5081,"revisionId":38389,"revision":8,"name":"AdGuard Home Exporter","description":"This is a AdGuard Home dashboard when using the https://github.com/henrywhitaker3/adguard-exporter Prometheus exporter","readme":"# AdGuard Home Prometheus Exporter\r\n\r\nThis is a Prometheus exporter for [AdGuard Home](https://github.com/AdguardTeam/AdGuardHome)\r\n\r\n## Installation\r\n\r\n### Using Docker\r\n\r\nYou can run it using the following example and pass configuration environment variables:\r\n\r\n```\r\n$ docker run \\\r\n  -e 'ADGUARD_SERVERS=192.168.1.2' \\\r\n  -e 'ADGUARD_USERNAMES=demo' \\\r\n  -e 'ADGUARD_PASSWORDS=mypassword' \\\r\n  -e 'INTERVAL=15s' \\ # Optional, defaults to 30s\r\n  -p 9618:9618 \\\r\n  ghcr.io/henrywhitaker3/adguard-exporter:latest\r\n```\r\n\r\nA single instance of adguard-exporter can monitor multiple AdGuard Home instances.\r\nTo do so, you can specify a list of servers, usernames and passwords by separating them with commas in their respective environment variable:\r\n\r\n```\r\n$ docker run \\\r\n  -e 'ADGUARD_SERVERS=192.168.1.2,192.168.1.3,192.168.1.4\"' \\\r\n  -e \"ADGUARD_USERNAMES=$USERNAME1,$USERNAME2,$USERNAME3\" \\\r\n  -e \"ADGUARD_PASSWORDS=$PASSWORD1,$PASSWORD2,$PASSWORD3\" \\\r\n  -p 9618:9618 \\\r\n  ghcr.io/henrywhitaker3/adguard-exporter:latest\r\n```\r\n\r\n## Usage\r\n\r\nOnce the exporter is running, you also have to update your `prometheus.yml` configuration to let it scrape the exporter:\r\n\r\n```yaml\r\nscrape_configs:\r\n  - job_name: 'adguard'\r\n    static_configs:\r\n      - targets: ['localhost:9618']\r\n```\r\n\r\n## Available Prometheus metrics\r\n\r\n| Metric name                                       | Description                                                       |\r\n| ---                                               | ---                                                               |\r\n| adguard_scrape_errors_total                       | The number of errors scraping a target                            |\r\n| adguard_protection_enabled                        | Whether DNS filtering is enabled                                  |\r\n| adguard_running                                   | Whether adguard is running or not                                 |\r\n| adguard_queries                                   | Total queries processed in the last 24 hours                      |\r\n| adguard_blocked_filtered                          | Total queries that have been blocked from filter lists            |\r\n| adguard_blocked_safesearch                        | Total queries that have been blocked due to safesearch            |\r\n| adguard_blocked_safebrowsing                      | Total queries that have been blocked due to safebrowsing          |\r\n| adguard_avg_processing_time_seconds               | The average query processing time in seconds                      |\r\n| adguard_top_queried_domains                       | The number of queries for the top domains                         |\r\n| adguard_top_blocked_domains                       | The number of blocked queries for the top domains                 |\r\n| adguard_top_clients                               | The number of queries for the top clients                         |\r\n| adguard_top_upstreams                             | The number of repsonses for the top upstream servers              |\r\n| adguard_top_upstreams_avg_response_time_seconds   | The average response time for each of the top upstream servers    |\r\n| adguard_dhcp_enabled                              | Whether dhcp is enabled                                           |\r\n| adguard_dhcp_leases                               | The dhcp leases                                         |\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-28T13:36:29.000Z","updatedAt":"2025-09-14T20:57:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20799"},{"rel":"revisions","href":"/dashboards/20799/revisions"},{"rel":"revision","href":"/dashboards/20799/revisions/8"},{"rel":"download","href":"/dashboards/20799/revisions/8/download"},{"rel":"org","href":"/orgs/henrywhitaker3"},{"rel":"images","href":"/dashboards/20799/images"},{"rel":"thumbnails","href":"/dashboards/20799/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24520,"status":1,"statusCode":"active","orgId":1610594,"orgSlug":"scipak","orgName":"scipak","slug":"adguard-home-multi-instance-monitoring-prometheus-exporter","downloads":108,"revisionId":39257,"revision":1,"name":"AdGuard Home Multi-Instance Monitoring (Prometheus Exporter)","description":"Grafana dashboard for monitoring multiple AdGuard Home instances using the AdGuard Home Exporter.\r\nProvides clean visual insights into DNS queries, blocks, client activity, upstream performance, filter usage, and instance health. Fully supports multi-instance monitoring via your Prometheus exporter:\r\nhttps://github.com/JonanekDev/AdGuardHome-Exporter","readme":"**AdGuard Home – Multi-Instance Monitoring Dashboard\r\n**\r\nThis dashboard visualizes metrics collected by the AdGuard Home Exporter, supporting monitoring of multiple AdGuard servers simultaneously.\r\n\r\n**Requirements**\r\n\r\n - Prometheus\r\n\r\n - AdGuard Home Exporter (supports multiple instances):\r\nhttps://github.com/JonanekDev/AdGuardHome-Exporter\r\n\r\n**Prometheus Setup**\r\n\r\nAdd your exporter target(s):\r\n\r\n```\r\nscrape_configs:\r\n  - job_name: \"adguardhome\"\r\n    static_configs:\r\n      - targets: [\"127.0.0.1:9100\"]\r\n```\r\n\r\n**Exporter Configuration**\r\n\r\nThe exporter accepts comma-separated lists to monitor multiple servers:\r\n\r\nADGUARD_URLS=192.168.0.8,192.168.0.9  \r\nADGUARD_USERNAMES=Admin,Admin  \r\nADGUARD_PASSWORDS=Pass1,Pass2","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-12-07T02:29:04.000Z","updatedAt":"2025-12-07T16:03:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24520"},{"rel":"revisions","href":"/dashboards/24520/revisions"},{"rel":"revision","href":"/dashboards/24520/revisions/1"},{"rel":"download","href":"/dashboards/24520/revisions/1/download"},{"rel":"org","href":"/orgs/scipak"},{"rel":"images","href":"/dashboards/24520/images"},{"rel":"thumbnails","href":"/dashboards/24520/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24856,"status":1,"statusCode":"active","orgId":26513,"orgSlug":"bassd","orgName":"bassd","slug":"adguard-metrics-statistics","downloads":18,"revisionId":39888,"revision":1,"name":"AdGuard Metrics Statistics","description":"A powerful Grafana dashboard for monitoring AdGuard Home DNS performance using Prometheus as the data source.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-02-11T20:05:42.000Z","updatedAt":"2026-02-11T20:07:23.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24856"},{"rel":"revisions","href":"/dashboards/24856/revisions"},{"rel":"revision","href":"/dashboards/24856/revisions/1"},{"rel":"download","href":"/dashboards/24856/revisions/1/download"},{"rel":"org","href":"/orgs/bassd"},{"rel":"images","href":"/dashboards/24856/images"},{"rel":"thumbnails","href":"/dashboards/24856/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23579,"status":1,"statusCode":"active","orgId":1461882,"orgSlug":"znand","orgName":"znand","slug":"adguard-metrics-statistics","downloads":495,"revisionId":40177,"revision":4,"name":"AdGuard Metrics Statistics","description":"Grafana panels for AdGuard metrics","readme":"# AdGuard Exporter for Prometheus\n\nA lightweight Prometheus exporter written in Go that exposes detailed metrics from your AdGuard Home instance — including DNS statistics, blocked domains, upstreams, and client data.\n\n---\n\n## Features\n\n| Category | Capabilities |\n|----------|--------------|\n| API Integration | • Authenticated access to AdGuard Home API<br>• Supports `/control/status`, `/control/stats`, and `/control/querylog` endpoints |\n| DNS Analytics | • Total DNS queries metrics<br>• Blocked DNS queries tracking<br>• Upstream DNS statistics<br>• Per-client query statistics<br>• Query reason statistics<br>• DNS upstream latency histograms |\n| Query Log Processing | • Real-time query log analysis<br>• Query deduplication to prevent metric inflation<br>• Domain and query reason tracking |\n| GeoIP Enrichment | • MaxMind GeoLite2 IP geolocation lookup<br>• DNS client geographic visualization (Grafana Geomap)<br>• DNS threat map for blocked queries<br>• GeoIP caching for improved performance |\n| Traffic Analytics | • DNS queries grouped by ISP organization<br>• Country-level DNS traffic insights<br>• ISP-based DNS traffic monitoring |\n| Exporter Monitoring | • Deduplication cache metrics<br>• GeoIP cache usage monitoring<br>• Deduplication hit counters<br>• Exporter scrape performance metrics |\n| Deployment | • Customizable scrape interval<br>• Lightweight single binary deployment<br>• Docker-friendly deployment |\n\n---\n\n## Deployment\n\nFor installation guides, configuration examples, Docker usage, and source code, visit this github repository:\n\n https://github.com/znandev/adguardexporter\n\n---","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2025-06-19T04:46:44.000Z","updatedAt":"2026-03-14T07:50:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23579"},{"rel":"revisions","href":"/dashboards/23579/revisions"},{"rel":"revision","href":"/dashboards/23579/revisions/4"},{"rel":"download","href":"/dashboards/23579/revisions/4/download"},{"rel":"org","href":"/orgs/znand"},{"rel":"images","href":"/dashboards/23579/images"},{"rel":"thumbnails","href":"/dashboards/23579/thumbnails"}]},{"id":25312,"status":1,"statusCode":"active","orgId":1168556,"orgSlug":"cgruberbauerwork","orgName":"cgruberbauerwork","slug":"adh-dashboard","downloads":0,"revisionId":40818,"revision":1,"name":"ADH_Dashboard","description":"erster Test, ob der EDS-Dashboard angezeigt werden 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/stats.json data. Expects: InfluxDB v2 bucket containing measurement `dump1090_stats` with fields like `last1min_messages`, `last1min_local_peak_signal`, `last1min_local_noise`, `last1min_cpu_demod`, etc. (the flattened output of dump1090's stats.json). Devices are differentiated by the `host` tag — set the bucket variable to your InfluxDB bucket name after import. 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Just insights that matter.\r\n\r\n💡 Built for performance engineers who demand clarity, speed, and 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details","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-19T15:42:25.000Z","updatedAt":"2024-06-19T15:45:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21373"},{"rel":"revisions","href":"/dashboards/21373/revisions"},{"rel":"revision","href":"/dashboards/21373/revisions/1"},{"rel":"download","href":"/dashboards/21373/revisions/1/download"},{"rel":"org","href":"/orgs/aerospike"},{"rel":"images","href":"/dashboards/21373/images"},{"rel":"thumbnails","href":"/dashboards/21373/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20279,"status":1,"statusCode":"active","orgId":193429,"orgSlug":"aerospike","orgName":"Aerospike","slug":"aerospike-node-host-view","downloads":943,"revisionId":31618,"revision":2,"name":"Aerospike Node & Host view","description":"Host & Aerospike Node Dashboard helps to analyse and fix errors by comparing performance of key aerospike metrics with relevant host metrics","readme":"Aerospike Host and Node View dashboard for [Aerospike Monitoring Stack](https://docs.aerospike.com/monitorstack)\r\n\r\nSee [Aerospike Monitoring Stack Architecture](https://docs.aerospike.com/monitorstack/new/components-of-monitoring-stack) and [Aerospike Monitoring Stack Installation](https://docs.aerospike.com/monitorstack/new/installing-components) for more details","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-01-10T07:42:13.000Z","updatedAt":"2024-02-13T06:25:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20279"},{"rel":"revisions","href":"/dashboards/20279/revisions"},{"rel":"revision","href":"/dashboards/20279/revisions/2"},{"rel":"download","href":"/dashboards/20279/revisions/2/download"},{"rel":"org","href":"/orgs/aerospike"},{"rel":"images","href":"/dashboards/20279/images"},{"rel":"thumbnails","href":"/dashboards/20279/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19616,"status":1,"statusCode":"active","orgId":193429,"orgSlug":"aerospike","orgName":"Aerospike","slug":"aerospike-outbound-connector-view","downloads":333,"revisionId":30115,"revision":1,"name":"Aerospike Outbound Connector View","description":"This dashboard covers 6 connectors XDR-Proxy, Kafka-Outboud, Pulsar-Outboud, JMS-Outboud, ESP-Outbound, Elastic-Search in a single view. various clusters of each connector is shown as a row and covers key functional metrics to monitor like request-lag, request error, skipped, parse-errors, connections, xdr record size etc.,","readme":"Aerospike Outbound Connector View dashboard for [Aerospike Monitoring Stack](https://docs.aerospike.com/monitorstack)\r\n\r\nThis dashboard covers 6 connectors XDR-Proxy, Kafka-Outboud, Pulsar-Outboud, JMS-Outboud, ESP-Outbound, Elastic-Search in a single view. various clusters of each connector is shown as a row and covers key functional metrics to monitor like request-lag, request error, skipped, parse-errors, connections, xdr record size etc.,\r\n\r\nAerospike's Monitoring Stack extracts operational metrics from Aerospike database clusters for visualization and analysis in Prometheus and Grafana.\r\n\r\nSee [Aerospike Monitoring Stack Architecture](https://docs.aerospike.com/monitorstack/new/components-of-monitoring-stack) and [Aerospike Monitoring Stack Installation](https://docs.aerospike.com/monitorstack/new/installing-components) for more details","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-09-20T17:24:54.000Z","updatedAt":"2023-09-20T17:45:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19616"},{"rel":"revisions","href":"/dashboards/19616/revisions"},{"rel":"revision","href":"/dashboards/19616/revisions/1"},{"rel":"download","href":"/dashboards/19616/revisions/1/download"},{"rel":"org","href":"/orgs/aerospike"},{"rel":"images","href":"/dashboards/19616/images"},{"rel":"thumbnails","href":"/dashboards/19616/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24156,"status":1,"statusCode":"active","orgId":294226,"orgSlug":"fb1w2w3y","orgName":"fb1w2w3y","slug":"agent-framework","downloads":6627,"revisionId":40696,"revision":6,"name":"Agent Framework","description":"Comprehensive monitoring dashboard for AI agent framework performance, tracking operations, token usage, costs, errors, and detailed trace analysis. Monitor agent health, response times, success rates, and resource consumption in real-time.","readme":"# Agent Framework - Agent Overview\r\n\r\n![Agent Framework Dashboard](https://github.com/1w2w3y/grafana-dashboards/raw/master/agent-framework/agent-framework-grafana.gif)\r\n\r\nComprehensive monitoring dashboard for **Microsoft Agent Framework** performance, tracking operations, token usage, costs, errors, and detailed trace analysis. Monitor your AI agents' health, response times, success rates, and resource consumption in real-time.\r\n\r\n## 📊 What is Microsoft Agent Framework?\r\n\r\nThe [Microsoft Agent Framework](https://github.com/microsoft/agent-framework) is an open-source development kit for building AI agents and multi-agent workflows for .NET and Python. It brings together the best of [Semantic Kernel](https://github.com/microsoft/semantic-kernel) and [AutoGen](https://github.com/microsoft/autogen), combining their strengths while adding new capabilities for enterprise-grade AI applications.\r\n\r\n## 🎯 Why This Dashboard?\r\n\r\nAs you build AI agents that make autonomous decisions, call external tools, and process user requests, you need visibility into:\r\n\r\n- **Performance**: Are your agents responding quickly enough?\r\n- **Reliability**: What's your success rate? Where are errors occurring?\r\n- **Cost**: How much are your AI operations costing in token consumption?\r\n- **Usage**: Which agents are most active? When are peak usage times?\r\n- **Debugging**: What's happening inside failed operations?\r\n\r\nThis dashboard answers all these questions and more—in real-time.\r\n\r\n## ✨ Dashboard Highlights\r\n\r\n### 📈 Performance Monitoring\r\n- **Response Time Trends**: Track average, 95th, and 99th percentile latencies\r\n- **Success Rate Gauge**: Instant health check with color-coded thresholds\r\n- **Throughput Analysis**: Monitor operations per minute to identify peak loads\r\n- **Agent-Level Metrics**: Compare performance across different agents\r\n\r\n### 💰 Token Usage & Cost Analysis\r\n- **Token Consumption Over Time**: Stacked visualization of input/output tokens\r\n- **Cost Estimation**: Daily spending estimates based on model pricing\r\n- **Per-Agent Breakdown**: Identify which agents consume the most resources\r\n- **Trend Analysis**: Spot usage patterns and optimize accordingly\r\n\r\n### 🔍 Error Analysis & Debugging\r\n- **Error Rate Monitoring**: Overall system health at a glance\r\n- **Error Timeline**: Identify when problems occur\r\n- **Recent Errors Table**: Quick access to the latest failures\r\n- **Root Cause Analysis**: Drill down with agent name, error type, and duration\r\n\r\n### 🔬 Detailed Trace Analysis\r\n- **Interactive Trace Selection**: Click any operation to see full execution details\r\n- **Trace Visualization**: Complete execution flow with timing and dependencies\r\n- **Span Analysis**: Understand the hierarchical relationships in your agent operations\r\n- **Performance Deep-Dive**: Identify bottlenecks in complex agent workflows\r\n\r\n### 📊 Agent Activity Insights\r\n- **Agent Performance Summary**: Comprehensive table with operations, duration, and success rates\r\n- **Utilization Heatmap**: Visual representation of agent activity over time\r\n- **Response Time Percentiles**: Compare latency distribution across agents\r\n\r\n## 🔧 Customization\r\n\r\n### Adjust Cost Estimation\r\nThe dashboard uses example pricing. Update the cost calculation query to match your model pricing:\r\n\r\n```kql\r\n// In the \"Daily Cost Estimation\" panel query\r\ninput_cost = input_tokens * 0.00000025,   // Your input token rate\r\noutput_cost = output_tokens * 0.000002    // Your output token rate\r\n```\r\n\r\n## 🤝 Contributing\r\n\r\nFound a bug or have a feature request? \r\n\r\n- [Open an issue](https://github.com/1w2w3y/grafana-dashboards/issues)\r\n- Submit a pull request\r\n- Share your customizations!\r\n\r\n## 📚 Resources\r\n\r\n- [Microsoft Agent Framework Documentation](https://learn.microsoft.com/en-us/agent-framework/overview/agent-framework-overview)\r\n- [Agent Framework GitHub Repository](https://github.com/microsoft/agent-framework)\r\n- [Azure Application Insights](https://learn.microsoft.com/en-us/azure/azure-monitor/app/app-insights-overview)\r\n- [Grafana Documentation](https://grafana.com/docs/)\r\n\r\n---\r\n\r\n**Ready to gain visibility into your AI agents?** Import this dashboard and start monitoring your Agent Framework applications today! 🚀","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2025-09-24T20:49:06.000Z","updatedAt":"2026-05-09T02:14:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24156"},{"rel":"revisions","href":"/dashboards/24156/revisions"},{"rel":"revision","href":"/dashboards/24156/revisions/6"},{"rel":"download","href":"/dashboards/24156/revisions/6/download"},{"rel":"org","href":"/orgs/fb1w2w3y"},{"rel":"images","href":"/dashboards/24156/images"},{"rel":"thumbnails","href":"/dashboards/24156/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":24176,"status":1,"statusCode":"active","orgId":294226,"orgSlug":"fb1w2w3y","orgName":"fb1w2w3y","slug":"agent-framework-workflow","downloads":6491,"revisionId":40697,"revision":4,"name":"Agent Framework Workflow","description":"Comprehensive monitoring dashboard for Agent Framework workflows, tracking execution metrics, performance analysis, and trace visualization","readme":"# Agent Framework - Workflow Overview\r\n\r\n![Agent Framework Workflow Dashboard](https://github.com/1w2w3y/grafana-dashboards/raw/master/af-workflow/af-workflow.gif)\r\n\r\nComprehensive monitoring dashboard for **Microsoft Agent Framework Workflows**, tracking workflow executions, executor performance, visual workflow graphs, and detailed trace analysis. Monitor your multi-agent workflows' health, execution paths, success rates, and identify bottlenecks in real-time.\r\n\r\n## 🔄 What are Agent Framework Workflows?\r\n\r\n[Microsoft Agent Framework Workflows](https://learn.microsoft.com/en-us/agent-framework/overview/agent-framework-overview#workflows) provide a structured way to orchestrate complex, multi-step processes involving multiple AI agents, functions, and external systems. Unlike single AI agents that work autonomously, workflows give you explicit control over execution paths through a graph-based architecture.\r\n\r\nWorkflows are designed to handle tasks that are too complex for a single agent, offering:\r\n- **Modularity**: Break down processes into reusable components\r\n- **Agent Integration**: Orchestrate multiple AI agents with non-agentic functions\r\n- **Type Safety**: Strong typing ensures correct message flow between components\r\n- **Flexible Flow**: Graph-based executors with conditional routing and parallel processing\r\n- **Checkpointing**: Save and resume long-running processes\r\n- **Human-in-the-Loop**: Built-in request/response patterns for external integration\r\n\r\n## 🎯 Why This Dashboard?\r\n\r\nWhen building multi-agent workflows that coordinate multiple AI agents and functions, you need visibility into:\r\n\r\n- **Execution Health**: Are your workflows completing successfully?\r\n- **Performance**: Where are the bottlenecks in your execution graph?\r\n- **Executor Behavior**: Which executors are taking the longest? Which ones fail most often?\r\n- **Workflow Structure**: How are your executors connected? What's the execution flow?\r\n- **Debugging**: What happened in failed workflow runs?\r\n\r\nThis dashboard answers all these questions and more—with interactive visualizations and real-time metrics.\r\n\r\n## ✨ Dashboard Highlights\r\n\r\n### 📊 Workflow Summary Statistics\r\n- **Overall Metrics**: Total workflows, executors, average execution times\r\n- **Success Rate Monitoring**: Track completion rates for workflows and executors\r\n- **Quick Health Check**: Instant overview of your workflow system performance\r\n- **Dual-Level Insights**: Separate metrics for workflow-level and executor-level operations\r\n\r\n### 📈 Workflow Execution Monitoring\r\n- **Execution Trends**: Visualize successful vs. failed workflow runs over time\r\n- **Time Series Analysis**: Identify patterns, peak loads, and anomalies\r\n- **Success/Failure Breakdown**: Color-coded visualization for quick health assessment\r\n- **Historical Tracking**: Monitor how your workflows perform across different time periods\r\n\r\n### ⚡ Executor Performance Analysis\r\n- **Performance Metrics Table**: Comprehensive breakdown by executor type and ID\r\n- **Duration Analysis**: Average and 95th percentile execution times\r\n- **Success Rate Tracking**: Monitor reliability of individual executors\r\n- **Execution Count**: Identify most-used and potentially problematic executors\r\n- **Performance Comparison**: Visual bar chart comparing executor types side-by-side\r\n\r\n### 🗺️ Interactive Workflow Selection\r\n- **Workflow Run Table**: Browse recent executions with trace IDs\r\n- **Quick Navigation**: Click any workflow to dive into detailed analysis\r\n- **Execution Details**: View duration, success status, executor count, and timestamps\r\n- **Trace Integration**: Seamless navigation to distributed tracing views\r\n\r\n### 🔍 Visual Workflow Graph\r\n- **Executor Map**: Interactive node graph showing workflow structure\r\n- **Dependency Visualization**: See how executors connect and flow\r\n- **Start Point Highlighting**: Clearly identifies workflow entry points\r\n- **Graph Exploration**: Zoom and navigate through complex workflow architectures\r\n- **Real-Time Structure**: Understand the execution path your workflows follow\r\n\r\n### 🔬 Detailed Trace Analysis\r\n- **Distributed Tracing**: Complete execution timeline for selected workflows\r\n- **Dependency Tracking**: Visualize all executor calls and their relationships\r\n- **Performance Deep-Dive**: Identify slow executors and bottlenecks\r\n- **Error Investigation**: Drill down into failed executions to find root causes\r\n- **Execution Timeline**: See the full span of your workflow execution with timing data\r\n\r\n## 💡 Pro Tips\r\n\r\n- **Optimize Slow Executors**: Use the executor performance table to identify bottlenecks\r\n- **Pattern Recognition**: Monitor execution trends to identify peak usage times\r\n- **Debug Failures**: Click on failed workflows to see their complete trace\r\n- **Graph Analysis**: Study the executor map to understand complex workflow structures\r\n- **Success Rate Alerts**: Set up alerts based on workflow success rate thresholds\r\n\r\n## 🤝 Contributing\r\n\r\nFound a bug or have a feature request? \r\n\r\n- [Open an issue](https://github.com/1w2w3y/grafana-dashboards/issues)\r\n- Submit a pull request\r\n- Share your workflow monitoring insights!\r\n\r\n## 📚 Resources\r\n\r\n- [Microsoft Agent Framework Documentation](https://learn.microsoft.com/en-us/agent-framework/overview/agent-framework-overview)\r\n- [Agent Framework Workflows Guide](https://learn.microsoft.com/en-us/agent-framework/overview/agent-framework-overview#workflows)\r\n- [Agent Framework GitHub Repository](https://github.com/microsoft/agent-framework)\r\n- [Azure Application Insights](https://learn.microsoft.com/en-us/azure/azure-monitor/app/app-insights-overview)\r\n- [Grafana Documentation](https://grafana.com/docs/)\r\n\r\n---\r\n\r\n**Ready to visualize your multi-agent workflows?** Import this dashboard and gain complete visibility into your Agent Framework workflow orchestrations! 🚀","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2025-09-30T17:13:42.000Z","updatedAt":"2026-05-09T02:15:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24176"},{"rel":"revisions","href":"/dashboards/24176/revisions"},{"rel":"revision","href":"/dashboards/24176/revisions/4"},{"rel":"download","href":"/dashboards/24176/revisions/4/download"},{"rel":"org","href":"/orgs/fb1w2w3y"},{"rel":"images","href":"/dashboards/24176/images"},{"rel":"thumbnails","href":"/dashboards/24176/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":24590,"status":1,"statusCode":"active","orgId":1390984,"orgSlug":"khvastunov","orgName":"khvastunov","slug":"agentgateway-overview","downloads":140,"revisionId":39383,"revision":1,"name":"AgentGateway Overview","description":"Dashboard for monitoring AgentGateway - AI Gateway with rate limiting, content guardrails, and MCP support","readme":"## AgentGateway Grafana Dashboard\r\n\r\n**Dashboard for monitoring AgentGateway**  - an AI Gateway providing rate limiting, content guardrails, and MCP (Model Context Protocol) support.\r\n\r\n### Dashboard Sections\r\n\r\n#### Overview\r\n\r\nHigh-level KPIs at a glance:\r\n\r\n-   **Total Requests**  - Aggregate request count\r\n-   **Error Rate (5xx)**  - Percentage of server errors\r\n-   **P95 Latency**  - 95th percentile response time\r\n-   **Total Connections**  - Downstream connection count\r\n-   **MCP Tool Calls**  - Total MCP operations\r\n-   **Active Tasks**  - Tokio runtime active tasks\r\n\r\n#### Request Metrics\r\n\r\nHTTP traffic analysis:\r\n\r\n-   **Request Rate by Route**  - Requests/sec broken down by route\r\n-   **Request Rate by Status Code**  - Success vs error response distribution\r\n-   **Request Latency by Route**  - Response time heatmap per route\r\n-   **Response Throughput by Route**  - Bytes transferred per route\r\n\r\n#### Generative AI Metrics\r\n\r\nLLM/AI provider observability:\r\n\r\n-   **Token Usage by Type**  - Input vs output token consumption\r\n-   **Time to First Token (TTFT)**  - Streaming response latency to first token\r\n-   **GenAI Request Duration**  - End-to-end AI request time\r\n-   **Time per Output Token (TPOT)**  - Token generation throughput\r\n\r\n#### MCP Metrics\r\n\r\nModel Context Protocol monitoring:\r\n\r\n-   **MCP Tool Calls by Tool**  - Request distribution across MCP tools\r\n-   **MCP Requests by Server**  - Traffic by backend MCP server\r\n\r\n#### Connection & Runtime Metrics\r\n\r\nInfrastructure health:\r\n\r\n-   **New Connections Rate**  - Connection establishment rate\r\n-   **Upstream Connection Time**  - Backend connection latency\r\n-   **Tokio Runtime Metrics**  - Rust async runtime statistics\r\n\r\n#### Top Routes\r\n\r\nTraffic analysis table:\r\n\r\n-   **Top Routes by Requests**  - Most frequently accessed endpoints\r\n\r\n### Requirements\r\n\r\n-   Grafana 9.0.0+\r\n-   Prometheus data source with AgentGateway metrics\r\n\r\n### Import Instructions\r\n\r\n1.  Navigate to Grafana → Dashboards → Import\r\n2.  Upload the JSON file / paste contents or use the dashboard ID\r\n3.  Select your Prometheus data source\r\n4.  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status","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-22T12:49:24.000Z","updatedAt":"2020-04-22T12:49:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12150"},{"rel":"revisions","href":"/dashboards/12150/revisions"},{"rel":"revision","href":"/dashboards/12150/revisions/1"},{"rel":"download","href":"/dashboards/12150/revisions/1/download"},{"rel":"org","href":"/orgs/andreynovik1993"},{"rel":"images","href":"/dashboards/12150/images"},{"rel":"thumbnails","href":"/dashboards/12150/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23084,"status":1,"statusCode":"active","orgId":1166560,"orgSlug":"rppkomasinski","orgName":"rppkomasinski","slug":"agro-1","downloads":368,"revisionId":36460,"revision":1,"name":"AGRO - 1","description":"Ziarna","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-03-13T17:39:29.000Z","updatedAt":"2025-03-13T17:40:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23084"},{"rel":"revisions","href":"/dashboards/23084/revisions"},{"rel":"revision","href":"/dashboards/23084/revisions/1"},{"rel":"download","href":"/dashboards/23084/revisions/1/download"},{"rel":"org","href":"/orgs/rppkomasinski"},{"rel":"images","href":"/dashboards/23084/images"},{"rel":"thumbnails","href":"/dashboards/23084/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19627,"status":1,"statusCode":"active","orgId":664688,"orgSlug":"file42","orgName":"file42","slug":"ahoydtu","downloads":380,"revisionId":31280,"revision":6,"name":"ahoyDTU","description":"","readme":"# grafana-ahoydtu\r\n\r\n- Grafana dashboard to use with ahoDTU's Prometheus endpoint\r\n\t- ahoyDTU (https://ahoydtu.de, tested and working with >= v0.8.42)\r\n\t- prometheus-enabled build (can be found here: https://github.com/lumapu/ahoy/releases in latest zip file, e.g. xxxxxx_ahoy_0.8.42_yyyyyy_esp32_prometheus.bin)\r\n\t- running prometheus as data source\r\n\t- obviously visualized in Grafana (tested and running on v10.2.3)\r\n\r\n- example prometheus job:\r\n```\r\n  - job_name: 'ahoydtu'\r\n    scrape_interval: 30s\r\n    static_configs:\r\n      - targets:\r\n        - 192.168.23.42\t\t\t# assuming that's the IP of ahoyDTU\r\n        labels:\r\n          site: garage\t\t\t# to identify different locations\r\n```\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-09-21T19:34:50.000Z","updatedAt":"2024-01-12T22:07:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19627"},{"rel":"revisions","href":"/dashboards/19627/revisions"},{"rel":"revision","href":"/dashboards/19627/revisions/6"},{"rel":"download","href":"/dashboards/19627/revisions/6/download"},{"rel":"org","href":"/orgs/file42"},{"rel":"images","href":"/dashboards/19627/images"},{"rel":"thumbnails","href":"/dashboards/19627/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24039,"status":1,"statusCode":"active","orgId":294226,"orgSlug":"fb1w2w3y","orgName":"fb1w2w3y","slug":"ai-foundry","downloads":7101,"revisionId":40020,"revision":10,"name":"AI Foundry","description":"Visualization for monitoring Azure AI Foundry usage and latency across model deployments in a single Grafana dashboard.","readme":"# AI Foundry\r\n\r\nVisulization for monitoring Azure AI Foundry usage and latency across model deployments in a single Grafana dashboard. Try this for free inside Azure portal: http://aka.ms/amg/dash/ai-foundry\r\n\r\n## Screenshots\r\n![ai-foundry-top-section](https://github.com/1w2w3y/grafana-dashboards/raw/master/ai-foundry/ai-foundry-top-section.png)\r\n![ai-foundry-latency](https://github.com/1w2w3y/grafana-dashboards/raw/master/ai-foundry/ai-foundry-latency.png)\r\n\r\n## Issues and feedback\r\nhttps://github.com/1w2w3y/grafana-dashboards/issues\r\n\r\n## Features\r\n- Totals at a glance\r\n  - Inference Token count (Azure Monitor metric `TokenTransaction`)\r\n  - Prompt Token count (metric `ProcessedPromptTokens`)\r\n  - Completion Token count (metric `GeneratedTokens`)\r\n- Latency trend\r\n  - Average Time to Last Byte (metric `AzureOpenAITTLTInMS`) to observe end‑to‑end response latency by model deployment.\r\n- Request and token trends\r\n  - Time series for Requests (metric `AzureOpenAIRequests`)\r\n  - Time series for Inference, Prompt, and Completion tokens over time\r\n- Per‑deployment breakdown\r\n  - All counters and time series are split by `ModelDeploymentName`, so you can compare individual deployments (for example: `gpt-5`, `gpt-4.1`, `o3`, etc.).\r\n- Flexible scoping\r\n  - Dashboard variables let you pick the Subscription and the target AI Foundry resource. The dashboard automatically derives the resource group, name, and region for accurate metric queries.\r\n- Defaults optimized for operations\r\n  - Default time range is the last 7 days, with legends and units configured for quick triage.\r\n\r\n## How it works?\r\n- Grafana queries Azure Monitor Metrics for the Azure AI Foundry (Cognitive Services) account using the Grafana Azure Monitor data source.\r\n- The dashboard targets the `Microsoft.CognitiveServices/accounts` resource type and reads the following metrics:\r\n  - `AzureOpenAIRequests` — number of requests received.\r\n  - `TokenTransaction` — processed inference tokens.\r\n  - `ProcessedPromptTokens` — prompt tokens processed.\r\n  - `GeneratedTokens` — completion tokens generated.\r\n  - `AzureOpenAITTLTInMS` — average time to last byte in milliseconds.\r\n- All queries group by the `ModelDeploymentName` dimension so you can see usage and performance per model deployment.\r\n- Variables:\r\n  - `subscriptionId` — selected subscription.\r\n  - `aiFoundryResourceId` — the Azure AI Foundry resource (resolved via Azure Resource Graph).\r\n  - Hidden helper variables (`resourceGroup`, `resourceName`, `region`) are resolved automatically from the selected resource.\r\n- Aggregations:\r\n  - Token and request panels use `Total` over the selected time range.\r\n  - Latency uses `Average`.\r\n\r\n## Requirements\r\n- Grafana 11.6+ with the Azure Monitor data source configured with access to the subscription that contains your AI Foundry account.\r\n\r\n## Change history\r\n- 9/8/2025 Initial version for Grafana 11.6\r\n- 9/30/2025 Update to more suitable metrics and improved layout\r\n- 10/10/2025 add estimated cost panel\r\n- 1/5/2026 update estimated cost with more models like GPT-5.2 and Claude Opus 4.5; add a price scale variable for adjusting cost estimates based on negotiated pricing.\r\n- 1/15/2026 add cost calculation for GPT-5.2-codex; add labels with values for each panel","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2025-09-08T18:31:12.000Z","updatedAt":"2026-02-25T08:14:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24039"},{"rel":"revisions","href":"/dashboards/24039/revisions"},{"rel":"revision","href":"/dashboards/24039/revisions/10"},{"rel":"download","href":"/dashboards/24039/revisions/10/download"},{"rel":"org","href":"/orgs/fb1w2w3y"},{"rel":"images","href":"/dashboards/24039/images"},{"rel":"thumbnails","href":"/dashboards/24039/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":23255,"status":1,"statusCode":"active","orgId":309232,"orgSlug":"sflow","orgName":"sflow","slug":"ai-metrics","downloads":584,"revisionId":38366,"revision":2,"name":"AI Metrics","description":"Performance metrics for AI/ML RoCEv2 network traffic.","readme":"sFlow-RT AI Metrics\r\n---\r\nThis dashboard trends metrics for AI/ML RoCEv2 network traffic reported by  [sFlow-RT](https://sflow-rt.com) analyzer running the [ai-metrics](https://github.com/sflow-rt/ai-metrics) application. The sFlow-RT analysis software collects streaming telemetry from industry standard [sFlow Agents](https://sflow-rt.com/agents.php) embedded in network devices. \r\n\r\nUse the [sflow/ai-metrics](https://hub.docker.com/r/sflow/ai-metrics) image to run sFlow-RT using Docker:\r\n```console\r\ndocker run -v $PWD/store:/sflow-rt/store/ -p 8008:8008 -p 6343:6343/udp sflow/ai-metrics\r\n```\r\nUse the following [Prometheus](https://prometheus.io/) scrape configuration to collect the metrics from sFlow-RT:\r\n```console\r\nscrape_configs:\r\n  - job_name: sflow-rt-ai-metrics\r\n    metrics_path: /app/ai-metrics/scripts/metrics.js/prometheus/txt\r\n    static_configs:\r\n    - targets: ['sflow-rt.mysite.org:8008']\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-15T18:03:25.000Z","updatedAt":"2025-09-11T05:09:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23255"},{"rel":"revisions","href":"/dashboards/23255/revisions"},{"rel":"revision","href":"/dashboards/23255/revisions/2"},{"rel":"download","href":"/dashboards/23255/revisions/2/download"},{"rel":"org","href":"/orgs/sflow"},{"rel":"images","href":"/dashboards/23255/images"},{"rel":"thumbnails","href":"/dashboards/23255/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24752,"status":1,"statusCode":"active","orgId":1653045,"orgSlug":"healthsamurai","orgName":"healthsamurai","slug":"aidbox","downloads":166,"revisionId":39775,"revision":5,"name":"Aidbox","description":"Monitor Aidbox API performance, workload, database activity, and resource usage in production.","readme":"Aidbox Observability Dashboard\r\n\r\nThis Grafana dashboard provides essential visibility into Aidbox performance and health. It helps operators monitor API behavior, application workload, database activity, and infrastructure resource usage in one place.\r\n\r\nKey views include request rate and latency, error codes, internal processing metrics, PostgreSQL signals, and CPU/memory utilization. The dashboard is designed for production monitoring, troubleshooting, and capacity planning.\r\n\r\nIt works with standard Prometheus metrics exposed by Aidbox and common Kubernetes/PostgreSQL exporters and can be easily customized for different deployment setups.\r\n\r\nBest suited for: DevOps, SREs, and platform teams running Aidbox in production.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-01-28T11:30:01.000Z","updatedAt":"2026-02-05T11:07:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24752"},{"rel":"revisions","href":"/dashboards/24752/revisions"},{"rel":"revision","href":"/dashboards/24752/revisions/5"},{"rel":"download","href":"/dashboards/24752/revisions/5/download"},{"rel":"org","href":"/orgs/healthsamurai"},{"rel":"images","href":"/dashboards/24752/images"},{"rel":"thumbnails","href":"/dashboards/24752/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17167,"status":1,"statusCode":"active","orgId":724964,"orgSlug":"xlvchao","orgName":"xlvchao","slug":"aiops-clickhouse","downloads":532,"revisionId":26382,"revision":1,"name":"Aiops-ClickHouse集群监控","description":"整体资源展示与资源明细图表：CPU、内存、磁盘、IO、网络等监控指标！","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":", Prometheus, Altinity plugin for ClickHouse","privacy":"public","createdAt":"2022-10-12T16:29:00.000Z","updatedAt":"2022-10-12T16:30:19.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/17167"},{"rel":"revisions","href":"/dashboards/17167/revisions"},{"rel":"revision","href":"/dashboards/17167/revisions/1"},{"rel":"download","href":"/dashboards/17167/revisions/1/download"},{"rel":"org","href":"/orgs/xlvchao"},{"rel":"images","href":"/dashboards/17167/images"},{"rel":"thumbnails","href":"/dashboards/17167/thumbnails"}],"datasourceSlugs":["autohome-comparequeries-datasource","prometheus","vertamedia-clickhouse-datasource"]},{"id":16423,"status":1,"statusCode":"active","orgId":660903,"orgSlug":"aipix","orgName":"aipix","slug":"aipix-mediaserver-dashboard","downloads":290,"revisionId":25066,"revision":2,"name":"Aipix Mediaserver Dashboard","description":"InfluxDB dashboard to collect metrics from Aipix Mediaserver","readme":"### About ###\r\nCollector source files can be found on the GitHub Page: \r\n[https://github.com/Xaipix/mediaserver-collectors](https://github.com/Xaipix/mediaserver-collectors \"Title\")\r\n\r\n### How To Use ###\r\n- Install and setup Telegraf, InfluxDB, and Grafana to work with eachother. \r\n- Use the provided mediaserver-collector.conf file.\r\n- Clone Git repository with collector:\r\n```bash\r\ngit clone https://github.com/Xaipix/mediaserver-collectors.git /etc/telegraf/telegraf.d/inputs\r\n```\r\n- Restart Telegraf. \r\n- Import the dashboard json file (or use Grafana Dashboard ID) to add the dashboard and panels to Grafana, selecting your own InfluxDB database after clicking \"Import\".\r\n- Enjoy!\r\n\r\n### Description ###\r\nCollected metrics:\r\n1. Mediaserver summary\r\n    * current time\r\n    * mediaserver hostname\r\n    * mediaserver version\r\n    * mediaserver uptime\r\n    * number of mediaserver restarts\r\n    * OS version of host mediaserver is installed at\r\n2. Memory usage\r\n    * VmSize – size of available for use memory\r\n    * VmRss –  size of used memory\r\n3. Tasks usage\r\n    * mediasvc – customer service streams\r\n    * mediumsvc – streams capturing cameras\r\n    * websvc – API\\Cpanel\r\n    * scheduler\\vacuum\\cluster – auxiliary\r\n4. CPU usage\r\n5. Sockets connections (incoming/outgoing)\r\n    * RxQueue – number of unreceived data \r\n    * TxQueue – send queue\r\n    * Sockets – total open sockets\r\n    * Established – number of established connections\r\n    * Close Wait – semi-closed connections\r\n    * Slow Connection – slow connections, delivery takes more than 100 milliseconds\r\n\r\n ","collectorType":"Telegraf","collectorConfig":"Сreate a new file under /etc/telegraf/telegraf.d/mediaserver-collector.conf and add the next:\r\n```\r\n[[inputs.exec]]\r\ncommands = [\r\n     \"/etc/telegraf/telegraf.d/inputs/mediaserver.py io\",\r\n     \"/etc/telegraf/telegraf.d/inputs/mediaserver.py memory\",\r\n     \"/etc/telegraf/telegraf.d/inputs/mediaserver.py proc\",\r\n     \"/etc/telegraf/telegraf.d/inputs/mediaserver.py tasks\",\r\n     \"/etc/telegraf/telegraf.d/inputs/mediaserver.py sockets\",\r\n   ]\r\ntimeout = \"10s\"\r\ninterval = \"60s\"\r\ndata_format = \"influx\"\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-06-09T14:48:46.000Z","updatedAt":"2022-06-13T07:05:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16423"},{"rel":"revisions","href":"/dashboards/16423/revisions"},{"rel":"revision","href":"/dashboards/16423/revisions/2"},{"rel":"download","href":"/dashboards/16423/revisions/2/download"},{"rel":"org","href":"/orgs/aipix"},{"rel":"images","href":"/dashboards/16423/images"},{"rel":"thumbnails","href":"/dashboards/16423/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14586,"status":1,"statusCode":"active","orgId":510826,"orgSlug":"tan4ek","orgName":"tan4ek","slug":"air-monitor","downloads":322,"revisionId":21610,"revision":1,"name":"Air monitor (ClearGrass)","description":"ClearGrassAirMonitor for https://github.com/Tan4ek/ClearGrassAirMonitor_prometheus_node_exporter","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-06-14T15:37:38.000Z","updatedAt":"2021-06-14T15:41:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14586"},{"rel":"revisions","href":"/dashboards/14586/revisions"},{"rel":"revision","href":"/dashboards/14586/revisions/1"},{"rel":"download","href":"/dashboards/14586/revisions/1/download"},{"rel":"org","href":"/orgs/tan4ek"},{"rel":"images","href":"/dashboards/14586/images"},{"rel":"thumbnails","href":"/dashboards/14586/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15524,"status":1,"statusCode":"active","orgId":586916,"orgSlug":"homifyiot","orgName":"homifyiot","slug":"air-quality","downloads":632,"revisionId":23427,"revision":1,"name":"Air Quality","description":"Air pollution monitor","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Infinity","privacy":"public","createdAt":"2022-01-11T21:30:37.000Z","updatedAt":"2022-01-11T21:31:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15524"},{"rel":"revisions","href":"/dashboards/15524/revisions"},{"rel":"revision","href":"/dashboards/15524/revisions/1"},{"rel":"download","href":"/dashboards/15524/revisions/1/download"},{"rel":"org","href":"/orgs/homifyiot"},{"rel":"images","href":"/dashboards/15524/images"},{"rel":"thumbnails","href":"/dashboards/15524/thumbnails"}],"datasourceSlugs":["yesoreyeram-infinity-datasource"]},{"id":23369,"status":1,"statusCode":"active","orgId":1149986,"orgSlug":"impactdb","orgName":"DSR Holdings","slug":"air-quality-index","downloads":267,"revisionId":37080,"revision":1,"name":"Air Quality Index","description":"WAQI monitoring dash via Prometheus","readme":"This Grafana dashboard provides real-time air quality monitoring based on WAQI (World Air Quality Index) data, focused on Jerusalem and surrounding areas. It features live PM2.5 and AQI readings for multiple monitoring stations, including Talbiyeh, Sanhedria, Kfar Etzion, CBS, Baka, and Tel Aviv. The dashboard includes gauges with color-coded safety gradations—particularly helpful for asthmatics and other sensitive populations—to indicate current health risk levels.\r\n\r\nUsers can view detailed PM2.5 trends over the past 24 hours and past hour, with separate graphs for citywide averages and specific neighborhoods. Designed for clarity and responsiveness, the dashboard supports timely decision-making about outdoor activity based on air quality conditions.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-05-01T02:00:15.000Z","updatedAt":"2025-05-01T02:07:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23369"},{"rel":"revisions","href":"/dashboards/23369/revisions"},{"rel":"revision","href":"/dashboards/23369/revisions/1"},{"rel":"download","href":"/dashboards/23369/revisions/1/download"},{"rel":"org","href":"/orgs/impactdb"},{"rel":"images","href":"/dashboards/23369/images"},{"rel":"thumbnails","href":"/dashboards/23369/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21505,"status":1,"statusCode":"active","orgId":1170748,"orgSlug":"axe2k","orgName":"axe2k","slug":"air-q-prometheus-exporter","downloads":255,"revisionId":33529,"revision":1,"name":"air-Q Prometheus Exporter","description":"Display your air-Q data that has been exported with https://github.com/Wandmalfarbe/airq-prometheus-exporter. The air-Q is an air quality measuring device that detects particulates, carbon monoxide, chemicals and other pollutants.","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-07-11T14:58:56.000Z","updatedAt":"2024-07-11T15:00:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21505"},{"rel":"revisions","href":"/dashboards/21505/revisions"},{"rel":"revision","href":"/dashboards/21505/revisions/1"},{"rel":"download","href":"/dashboards/21505/revisions/1/download"},{"rel":"org","href":"/orgs/axe2k"},{"rel":"images","href":"/dashboards/21505/images"},{"rel":"thumbnails","href":"/dashboards/21505/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20561,"status":1,"statusCode":"active","orgId":1061045,"orgSlug":"wandmalfarbe","orgName":"wandmalfarbe","slug":"air-q-prometheus-exporter","downloads":544,"revisionId":38384,"revision":2,"name":"air-Q Prometheus Exporter","description":"","readme":"This Dashboard is made for https://github.com/Wandmalfarbe/airq-prometheus-exporter.\r\n\r\nThe Grafana dashboard has visualizations for the air-Q pro that comes with 14 sensors.\r\nThe following metrics are supported:\r\n\r\n| Metric         | English Name                | German Name                    | Unit    | Type   | Has Error Margin? |\r\n|----------------|-----------------------------|--------------------------------|---------|--------|-------------------|\r\n| health         | Health                      | Gesundheitsindex               | %       | double | no                |\r\n| performance    | Performance                 | Leistungsindex                 | %       | double | no                |\r\n| virus          | Virus-free Index            | Virenfrei-Index                | %       | double | yes               |\r\n| mold           | Mold-free Index             | Schimmelfrei-Index             | %       | double | yes               |\r\n| no2            | Nitrogen Dioxide            | Stickstoffdioxid               | µg/m³   | double | yes               |\r\n| co2            | Carbon Dioxide              | Kohlendioxid                   | ppm     | double | yes               |\r\n| sound          | Noise                       | Lärm                           | dB(A)   | double | yes               |\r\n| sound_max      | Noise (Maximum)             | Lärm (Maximum)                 | dB(A)   | double | yes               |\r\n| tvoc           | VOC                         | VOC                            | ppb     | double | yes               |\r\n| humidity       | Relative Humidity           | Relative Luftfeuchtigkeit      | %       | double | yes               |\r\n| co             | Carbon Monoxide             | Kohlenmonoxid                  | mg/m³   | double | yes               |\r\n| humidity_abs   | Absolute Humidity           | Absolute Luftfeuchtigkeit      | g/m³    | double | yes               |\r\n| temperature    | Temperature                 | Temperatur                     | °C      | double | yes               |\r\n| pm1            | PM1 Particulate Matter      | PM1 Feinstaub                  | µg/m³   | double | yes               |\r\n| pm2_5          | PM2.5 Particulate Matter    | PM2.5 Feinstaub                | µg/m³   | double | yes               |\r\n| pm10           | PM10 Particulate Matter     | PM10 Feinstaub                 | µg/m³   | double | yes               |\r\n| pressure       | Air Pressure                | Luftdruck                      | hPa     | double | yes               |\r\n| dewpt          | Dew Point                   | Taupunkt                       | °C      | double | yes               |\r\n| TypPS          | Typical Particulate Size    | Typische Partikelgröße         | µm      | double | no                |\r\n| dCO2dt         | Change of CO₂ concentration | Änderung der CO₂ Konzentration | ppb/s   | int    | no                |\r\n| dHdt           | Change of Humidity          | Änderung der Luftfeuchtigkeit  | mg/m3/s | int    | no                |\r\n| measuretime    | Duration of measurement     | Dauer der Messung              | ms      | int    | no                |\r\n| timestamp      | Timestamp                   | Timestamp                      |         | long   | no                |\r\n| uptime         | Uptime                      | Uptime                         | s       | long   | no                |\r\n| Status         | Status                      | Status                         |         | string | no                |","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2024-02-24T19:52:51.000Z","updatedAt":"2025-09-13T18:14:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20561"},{"rel":"revisions","href":"/dashboards/20561/revisions"},{"rel":"revision","href":"/dashboards/20561/revisions/2"},{"rel":"download","href":"/dashboards/20561/revisions/2/download"},{"rel":"org","href":"/orgs/wandmalfarbe"},{"rel":"images","href":"/dashboards/20561/images"},{"rel":"thumbnails","href":"/dashboards/20561/thumbnails"}]},{"id":21923,"status":1,"statusCode":"active","orgId":1223470,"orgSlug":"cryptoscript17","orgName":"cryptoscript17","slug":"air-q-prometheus-exporter","downloads":247,"revisionId":34291,"revision":1,"name":"air-Q Prometheus Exporter","description":"Display your air-Q data that has been exported with https://github.com/Wandmalfarbe/airq-prometheus-exporter. The air-Q is an air quality measuring device that detects particulates, carbon monoxide, chemicals and other pollutants.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-09-17T05:53:16.000Z","updatedAt":"2024-09-17T05:53:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21923"},{"rel":"revisions","href":"/dashboards/21923/revisions"},{"rel":"revision","href":"/dashboards/21923/revisions/1"},{"rel":"download","href":"/dashboards/21923/revisions/1/download"},{"rel":"org","href":"/orgs/cryptoscript17"},{"rel":"images","href":"/dashboards/21923/images"},{"rel":"thumbnails","href":"/dashboards/21923/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21310,"status":1,"statusCode":"active","orgId":1148590,"orgSlug":"tikadm","orgName":"tikadm","slug":"airbyte","downloads":537,"revisionId":33171,"revision":1,"name":"Airbyte","description":"The dashboard for basic airbyte metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-13T07:59:29.000Z","updatedAt":"2024-06-13T08:00:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21310"},{"rel":"revisions","href":"/dashboards/21310/revisions"},{"rel":"revision","href":"/dashboards/21310/revisions/1"},{"rel":"download","href":"/dashboards/21310/revisions/1/download"},{"rel":"org","href":"/orgs/tikadm"},{"rel":"images","href":"/dashboards/21310/images"},{"rel":"thumbnails","href":"/dashboards/21310/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9813,"status":1,"statusCode":"active","orgId":234141,"orgSlug":"mephisto","orgName":"mephisto","slug":"airfiber-ltu","downloads":852,"revisionId":13665,"revision":3,"name":"Airfiber LTU","description":"Dasboard for Airfiber LTU Devices","readme":"Telegraf Config and Dashboard for Ubiquiti Airfiber LTU Wireless Backhaul Equipment.\r\n\r\nCollects CPU / Memory, States and per-Station Values.\r\n\r\nThis one is tested on a Ubiquiti Airfiber 5 xHD (LTU) with Firmware 1.1.2","collectorType":"Telegraf","collectorConfig":"Create /etc/telegraf/telegraf.d/afltu.conf with following Content (place your Management IP's accordingly):\r\n\r\n```\r\n[[inputs.snmp]]\r\n  agents = [ \"airfibermanagement.ip\"\r\n           ]\r\n  version = 2\r\n  community = \"public\"\r\n\r\n  interval = 30\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"sysName\"\r\n    oid = \"SNMPv2-MIB::sysName.0\"\r\n    is_tag = true\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"sysLocation\"\r\n    oid = \"SNMPv2-MIB::sysLocation.0\"\r\n    is_tag = true\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"uptime\"\r\n    oid = \"DISMAN-EVENT-MIB::sysUpTimeInstance\"\r\n\r\n  [[inputs.snmp.table]]\r\n    name = \"af_radio\"\r\n    index_as_tag = true\r\n    inherit_tags = [ \"sysName\", \"sysLocation\" ]\r\n\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUFrequency\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUBandwidth\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUSsid\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUDevName\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUFirmwareVersion\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUMemoryUsage\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUCpuUsage\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUUptime\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUTxBytes\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUTxPps\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTURxBytes\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTURxPps\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUConnected\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUethTxBytes\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUethTxPps\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUethRxBytes\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUethRxPps\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUethConnected\"\r\n\r\n  [[inputs.snmp.table]]\r\n    name = \"af_partners\"\r\n    index_as_tag = true\r\n    inherit_tags = [ \"sysName\", \"sysLocation\" ]\r\n\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUStaTxRate\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUStaRxRate\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUStaTxCapacity\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUStaRxCapacity\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUStaRxPower0\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUStaRxPower1\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUStaIdealRxPower0\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUStaIdealRxPower1\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUStaRxPowerLevel0\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UBNT-AFLTU-MIB::afLTUStaRxPowerLevel1\"\r\n``` ","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-02-17T21:06:28.000Z","updatedAt":"2019-02-17T22:13:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9813"},{"rel":"revisions","href":"/dashboards/9813/revisions"},{"rel":"revision","href":"/dashboards/9813/revisions/3"},{"rel":"download","href":"/dashboards/9813/revisions/3/download"},{"rel":"org","href":"/orgs/mephisto"},{"rel":"images","href":"/dashboards/9813/images"},{"rel":"thumbnails","href":"/dashboards/9813/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21483,"status":1,"statusCode":"active","orgId":1148590,"orgSlug":"tikadm","orgName":"tikadm","slug":"airflow","downloads":1918,"revisionId":33480,"revision":1,"name":"Airflow","description":"Basic airflow dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-07-09T07:47:23.000Z","updatedAt":"2024-07-09T07:48:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21483"},{"rel":"revisions","href":"/dashboards/21483/revisions"},{"rel":"revision","href":"/dashboards/21483/revisions/1"},{"rel":"download","href":"/dashboards/21483/revisions/1/download"},{"rel":"org","href":"/orgs/tikadm"},{"rel":"images","href":"/dashboards/21483/images"},{"rel":"thumbnails","href":"/dashboards/21483/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24832,"status":1,"statusCode":"active","orgId":1662588,"orgSlug":"cuongvothanh","orgName":"cuongvothanh","slug":"airflow-3","downloads":61,"revisionId":39826,"revision":1,"name":"Airflow 3","description":"Dashboard monitoring Airflow 3.1.6","readme":"Hey! I have built dashboard which is compatible with Airflow 3.x. Check it out! If there is any issue please contact with me to fix it!\r\n\r\nConfiguration:\r\n- Airflow 3.1.6\r\n- Prometheus 3.1.9\r\n- otel/opentelemetry-collector-contrib 0.145.0\r\n\r\nGithub: https://github.com/CuongVoThanh/airflow-3-grafana-dashboard","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-02-07T15:47:20.000Z","updatedAt":"2026-02-07T16:39:17.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24832"},{"rel":"revisions","href":"/dashboards/24832/revisions"},{"rel":"revision","href":"/dashboards/24832/revisions/1"},{"rel":"download","href":"/dashboards/24832/revisions/1/download"},{"rel":"org","href":"/orgs/cuongvothanh"},{"rel":"images","href":"/dashboards/24832/images"},{"rel":"thumbnails","href":"/dashboards/24832/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20788,"status":1,"statusCode":"active","orgId":143189,"orgSlug":"luongvo","orgName":"Luong Vo","slug":"airflow-cluster-dashboard","downloads":2595,"revisionId":32186,"revision":2,"name":"Airflow cluster dashboard","description":"for https://github.com/databand-ai/airflow-dashboards, with multi cluster support ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-28T00:29:58.000Z","updatedAt":"2024-03-28T10:43:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20788"},{"rel":"revisions","href":"/dashboards/20788/revisions"},{"rel":"revision","href":"/dashboards/20788/revisions/2"},{"rel":"download","href":"/dashboards/20788/revisions/2/download"},{"rel":"org","href":"/orgs/luongvo"},{"rel":"images","href":"/dashboards/20788/images"},{"rel":"thumbnails","href":"/dashboards/20788/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20994,"status":1,"statusCode":"active","orgId":1115630,"orgSlug":"tamikataylor","orgName":"tamikataylor","slug":"airflow-cluster-dashboard","downloads":1275,"revisionId":32612,"revision":1,"name":"Airflow cluster dashboard","description":"Dashboard for Airflow 2.9.0","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-05-02T21:11:51.000Z","updatedAt":"2024-05-02T21:21:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20994"},{"rel":"revisions","href":"/dashboards/20994/revisions"},{"rel":"revision","href":"/dashboards/20994/revisions/1"},{"rel":"download","href":"/dashboards/20994/revisions/1/download"},{"rel":"org","href":"/orgs/tamikataylor"},{"rel":"images","href":"/dashboards/20994/images"},{"rel":"thumbnails","href":"/dashboards/20994/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20789,"status":1,"statusCode":"active","orgId":143189,"orgSlug":"luongvo","orgName":"Luong Vo","slug":"airflow-dag-dashboard","downloads":3141,"revisionId":32188,"revision":2,"name":"Airflow DAG dashboard","description":"https://github.com/databand-ai/airflow-dashboards, with multi cluster support","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-28T00:46:49.000Z","updatedAt":"2024-03-28T11:00:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20789"},{"rel":"revisions","href":"/dashboards/20789/revisions"},{"rel":"revision","href":"/dashboards/20789/revisions/2"},{"rel":"download","href":"/dashboards/20789/revisions/2/download"},{"rel":"org","href":"/orgs/luongvo"},{"rel":"images","href":"/dashboards/20789/images"},{"rel":"thumbnails","href":"/dashboards/20789/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23297,"status":1,"statusCode":"active","orgId":675002,"orgSlug":"hellboyhha","orgName":"hellboyhha","slug":"airflow-dags-overview","downloads":1207,"revisionId":36952,"revision":1,"name":"Airflow DAGs Overview","description":"A simple dashboard to monitor Apache Airflow DAGs — track total DAGs, last run status, execution durations, and success/failure trends across instances.","readme":"# Exporting Metrics from Airflow\r\nThis dashboard uses the airflow-exporter to expose Airflow metrics to Prometheus.\r\nIt collects DAG run data, task statuses, durations, and other runtime metrics for visualization in Grafana.\r\n\r\nFor setup and configuration, refer to the official documentation: https://pypi.org/project/airflow-exporter/","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-21T20:16:10.000Z","updatedAt":"2025-04-21T20:57:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23297"},{"rel":"revisions","href":"/dashboards/23297/revisions"},{"rel":"revision","href":"/dashboards/23297/revisions/1"},{"rel":"download","href":"/dashboards/23297/revisions/1/download"},{"rel":"org","href":"/orgs/hellboyhha"},{"rel":"images","href":"/dashboards/23297/images"},{"rel":"thumbnails","href":"/dashboards/23297/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14448,"status":1,"statusCode":"active","orgId":343382,"orgSlug":"lopesdiego12","orgName":"lopesdiego12","slug":"airflow-monitoring","downloads":5687272,"revisionId":21367,"revision":1,"name":"Airflow monitoring","description":"Monitor percent of conclusion, if there is some failed tasks, link to the airflow logs, status per day of each failure","readme":"Details and queries available here - https://github.com/lopesdiego12/Grafana\nAnd post done here - https://lopesdiego12.medium.com/monitoramento-de-data-pipelines-grafana-apache-airflow-d606740afff","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2021-05-17T17:20:59.000Z","updatedAt":"2021-05-17T17:28:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14448"},{"rel":"revisions","href":"/dashboards/14448/revisions"},{"rel":"revision","href":"/dashboards/14448/revisions/1"},{"rel":"download","href":"/dashboards/14448/revisions/1/download"},{"rel":"org","href":"/orgs/lopesdiego12"},{"rel":"images","href":"/dashboards/14448/images"},{"rel":"thumbnails","href":"/dashboards/14448/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":9672,"status":1,"statusCode":"active","orgId":229016,"orgSlug":"infunt","orgName":"infunt","slug":"airflow-processes","downloads":3667,"revisionId":13416,"revision":1,"name":"Airflow operators metrics","description":"Display airflow operators metrics","readme":"Display airflow operators metrics from the prometheus collected by:\nhttps://github.com/mastak/airflow_operators_metrics","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-01-14T20:07:17.000Z","updatedAt":"2019-01-14T20:12:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/9672"},{"rel":"revisions","href":"/dashboards/9672/revisions"},{"rel":"revision","href":"/dashboards/9672/revisions/1"},{"rel":"download","href":"/dashboards/9672/revisions/1/download"},{"rel":"org","href":"/orgs/infunt"},{"rel":"images","href":"/dashboards/9672/images"},{"rel":"thumbnails","href":"/dashboards/9672/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20658,"status":1,"statusCode":"active","orgId":188826,"orgSlug":"geekontech","orgName":"geekontech","slug":"airgradient-new","downloads":451,"revisionId":34229,"revision":2,"name":"Airgradient","description":"Monitor your Airgradient with Prometheus","readme":"Monitor and visualise your Airgradient ONE indoor monitor data in Grafana. Compatible with 3.1.4 firmware.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-10T10:29:33.000Z","updatedAt":"2024-09-11T07:33:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20658"},{"rel":"revisions","href":"/dashboards/20658/revisions"},{"rel":"revision","href":"/dashboards/20658/revisions/2"},{"rel":"download","href":"/dashboards/20658/revisions/2/download"},{"rel":"org","href":"/orgs/geekontech"},{"rel":"images","href":"/dashboards/20658/images"},{"rel":"thumbnails","href":"/dashboards/20658/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21377,"status":1,"statusCode":"active","orgId":615048,"orgSlug":"kallakoras","orgName":"kallakoras","slug":"airgradient","downloads":373,"revisionId":33272,"revision":1,"name":"AirGradient","description":"AirGradient One V9, InfluxDB, Telegraf","readme":"AirGradient One V9, InfluxDB, Telegraf","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-06-19T22:35:39.000Z","updatedAt":"2024-06-19T22:42:47.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21377"},{"rel":"revisions","href":"/dashboards/21377/revisions"},{"rel":"revision","href":"/dashboards/21377/revisions/1"},{"rel":"download","href":"/dashboards/21377/revisions/1/download"},{"rel":"org","href":"/orgs/kallakoras"},{"rel":"images","href":"/dashboards/21377/images"},{"rel":"thumbnails","href":"/dashboards/21377/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22712,"status":1,"statusCode":"active","orgId":1326733,"orgSlug":"porterbeans","orgName":"porterbeans","slug":"airgradient-air-quality","downloads":664,"revisionId":35871,"revision":2,"name":"AirGradient Air Quality","description":"AirGradient > Home Assistant > InfluxDB v2 > Grafana","readme":"Prerequisites:\r\n- Home Assistant configured to send data to InfluxDB v2\r\n- A bucket in InfluxDB v2 called home_assistant\r\n\r\nData flow is AirGradient > Home Assistant > InfluxDB v2 > Grafana\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-01-17T08:35:04.000Z","updatedAt":"2025-01-22T00:01:31.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22712"},{"rel":"revisions","href":"/dashboards/22712/revisions"},{"rel":"revision","href":"/dashboards/22712/revisions/2"},{"rel":"download","href":"/dashboards/22712/revisions/2/download"},{"rel":"org","href":"/orgs/porterbeans"},{"rel":"images","href":"/dashboards/22712/images"},{"rel":"thumbnails","href":"/dashboards/22712/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20660,"status":1,"statusCode":"active","orgId":314561,"orgSlug":"tykling","orgName":"tykling","slug":"airgradient-native","downloads":333,"revisionId":31935,"revision":3,"name":"Airgradient Native","description":"Dashboard for the Airgradient One native prometheus metrics exporter. Compatible with the 3.0.6 firmware.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-10T19:58:51.000Z","updatedAt":"2024-03-11T05:36:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20660"},{"rel":"revisions","href":"/dashboards/20660/revisions"},{"rel":"revision","href":"/dashboards/20660/revisions/3"},{"rel":"download","href":"/dashboards/20660/revisions/3/download"},{"rel":"org","href":"/orgs/tykling"},{"rel":"images","href":"/dashboards/20660/images"},{"rel":"thumbnails","href":"/dashboards/20660/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24308,"status":1,"statusCode":"active","orgId":1570656,"orgSlug":"andreyshokhinus","orgName":"andreyshokhinus","slug":"airline-manager","downloads":94,"revisionId":39846,"revision":5,"name":"Airline Manager","description":"Displaying metrics, collected from the game \"Airline Manager\".","readme":"Dashboard for displaying metrics, collected from the game \"Airline Manager\".\r\n\r\nMetrics should be collected by the special exporter.\r\n\r\nExporter GitHub: https://github.com/ashokhin/am4bot\r\n\r\nExporter Docker Hub: https://hub.docker.com/r/ashokhin/am4bot","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-10-30T07:00:40.000Z","updatedAt":"2026-02-09T19:31:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24308"},{"rel":"revisions","href":"/dashboards/24308/revisions"},{"rel":"revision","href":"/dashboards/24308/revisions/5"},{"rel":"download","href":"/dashboards/24308/revisions/5/download"},{"rel":"org","href":"/orgs/andreyshokhinus"},{"rel":"images","href":"/dashboards/24308/images"},{"rel":"thumbnails","href":"/dashboards/24308/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13201,"status":1,"statusCode":"active","orgId":47135,"orgSlug":"tomaszszuster","orgName":"tomaszszuster","slug":"airmonitor","downloads":2426,"revisionId":36661,"revision":5,"name":"AirMonitor","description":"Default dashboard for AirMonitor platform","readme":"Default dashboard for AirMonitor platform","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2020-10-19T16:03:09.000Z","updatedAt":"2025-03-29T22:54:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13201"},{"rel":"revisions","href":"/dashboards/13201/revisions"},{"rel":"revision","href":"/dashboards/13201/revisions/5"},{"rel":"download","href":"/dashboards/13201/revisions/5/download"},{"rel":"org","href":"/orgs/tomaszszuster"},{"rel":"images","href":"/dashboards/13201/images"},{"rel":"thumbnails","href":"/dashboards/13201/thumbnails"}]},{"id":23661,"status":1,"statusCode":"active","orgId":1383894,"orgSlug":"pitkorny","orgName":"pitkorny","slug":"pm-sensors","downloads":196,"revisionId":37663,"revision":1,"name":"airrohr","description":"Airdata","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"barometer plugin","datasource":"InfluxDB","privacy":"public","createdAt":"2025-07-06T11:50:29.000Z","updatedAt":"2025-08-24T08:50:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23661"},{"rel":"revisions","href":"/dashboards/23661/revisions"},{"rel":"revision","href":"/dashboards/23661/revisions/1"},{"rel":"download","href":"/dashboards/23661/revisions/1/download"},{"rel":"org","href":"/orgs/pitkorny"},{"rel":"images","href":"/dashboards/23661/images"},{"rel":"thumbnails","href":"/dashboards/23661/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12359,"status":1,"statusCode":"active","orgId":386138,"orgSlug":"sukharenko","orgName":"Yevgen Sukharenko","slug":"airvisual","downloads":365,"revisionId":17693,"revision":1,"name":"AirVisual","description":"AirVisual Panels","readme":"Get your API key from `https://www.iqair.com/dashboard/api` and replace `<AIRVISUAL_API_KEY>` in config. Restart Telegraf or his container.\r\n\r\nPlease, remember - API Key valid for one year! After that time you need to get new one and update configs!\r\n\r\nAlso, for sure update `urls` by list of cities you need, and don't forget to update dashboard queries related to your cities configuration.","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.http]]\r\n\r\nurls = [\r\n    'https://api.airvisual.com/v2/city?city=Kyiv&state=Kyiv&country=Ukraine&key=<AIRVISUAL_API_KEY>',\r\n    'https://api.airvisual.com/v2/nearest_city?lat=50.444177&lon=30.165550&key=<AIRVISUAL_API_KEY>',\r\n    'https://api.airvisual.com/v2/city?city=Irpin&state=Kyiv&country=Ukraine&key=<AIRVISUAL_API_KEY>',\r\n    'https://api.airvisual.com/v2/city?city=Lviv&state=Lviv&country=Ukraine&key=<AIRVISUAL_API_KEY>',\r\n    'https://api.airvisual.com/v2/city?city=Odessa&state=Odessa&country=Ukraine&key=<AIRVISUAL_API_KEY>'\r\n]\r\ndata_format = \"json\"\r\ntag_keys = [ \"data_location_coordinates_0\", \"data_location_coordinates_1\", \"data_country\", \"data_state\", \"data_city\" ]\r\njson_string_fields = [ \"data_current_pollution_aqius\", \"data_current_pollution_aqicn\" ]\r\njson_time_key = \"data_current_pollution_ts\"\r\njson_time_format = \"2006-01-02T15:04:05Z07:00\"\r\nname_override = \"airvisual\"\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-05-25T18:40:31.000Z","updatedAt":"2020-05-26T12:07:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12359"},{"rel":"revisions","href":"/dashboards/12359/revisions"},{"rel":"revision","href":"/dashboards/12359/revisions/1"},{"rel":"download","href":"/dashboards/12359/revisions/1/download"},{"rel":"org","href":"/orgs/sukharenko"},{"rel":"images","href":"/dashboards/12359/images"},{"rel":"thumbnails","href":"/dashboards/12359/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13410,"status":1,"statusCode":"active","orgId":437089,"orgSlug":"hng","orgName":"H Ng","slug":"airvisual","downloads":321,"revisionId":19604,"revision":2,"name":"AirVisual","description":"AirVisual Panels","readme":"### Improvement of this dashboard : https://grafana.com/grafana/dashboards/12359 \n\nGet your API key from ``https://www.iqair.com/dashboard/api`` and replace ``<AIRVISUAL_API_KEY>`` in config. Restart Telegraf or his container.\n\nPlease, remember - API Key **valid for one year!** After that time you need to get new one and update configs!\nAnd **limit 10k request / month**.\n\nAlso, for sure update ``urls`` by list of cities you need, and don't forget to update dashboard queries related to your cities configuration.","collectorType":"Telegraf","collectorConfig":"```\n[[inputs.http]]\n\nurls = [\n    'https://api.airvisual.com/v2/city?city=Kyiv&state=Kyiv&country=Ukraine&key=<AIRVISUAL_API_KEY>',\n    'https://api.airvisual.com/v2/nearest_city?lat=50.444177&lon=30.165550&key=<AIRVISUAL_API_KEY>',\n    'https://api.airvisual.com/v2/city?city=Irpin&state=Kyiv&country=Ukraine&key=<AIRVISUAL_API_KEY>',\n    'https://api.airvisual.com/v2/city?city=Lviv&state=Lviv&country=Ukraine&key=<AIRVISUAL_API_KEY>',\n    'https://api.airvisual.com/v2/city?city=Odessa&state=Odessa&country=Ukraine&key=<AIRVISUAL_API_KEY>'\n]\ndata_format = \"json\"\ntag_keys = [ \"data_location_coordinates_0\", \"data_location_coordinates_1\", \"data_country\", \"data_state\", \"data_city\" ]\njson_string_fields = [ \"data_current_pollution_aqius\", \"data_current_pollution_aqicn\" ]\njson_time_key = \"data_current_pollution_ts\"\njson_time_format = \"2006-01-02T15:04:05Z07:00\"\nname_override = \"airvisual\"\n\n### Limit 10k request / month by airvisual \ninterval = \"1h\"\n```","collectorPluginList":"httpjson","datasource":"InfluxDB","privacy":"public","createdAt":"2020-11-16T10:16:57.000Z","updatedAt":"2020-11-21T01:50:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13410"},{"rel":"revisions","href":"/dashboards/13410/revisions"},{"rel":"revision","href":"/dashboards/13410/revisions/2"},{"rel":"download","href":"/dashboards/13410/revisions/2/download"},{"rel":"org","href":"/orgs/hng"},{"rel":"images","href":"/dashboards/13410/images"},{"rel":"thumbnails","href":"/dashboards/13410/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18417,"status":1,"statusCode":"active","orgId":473552,"orgSlug":"planeboston","orgName":"kx1t","slug":"ais-catcher","downloads":418,"revisionId":28527,"revision":2,"name":"AIS-Catcher","description":"dashboard for AIS-Catcher","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-01T14:50:32.000Z","updatedAt":"2023-04-25T20:07:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18417"},{"rel":"revisions","href":"/dashboards/18417/revisions"},{"rel":"revision","href":"/dashboards/18417/revisions/2"},{"rel":"download","href":"/dashboards/18417/revisions/2/download"},{"rel":"org","href":"/orgs/planeboston"},{"rel":"images","href":"/dashboards/18417/images"},{"rel":"thumbnails","href":"/dashboards/18417/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25285,"status":1,"statusCode":"active","orgId":1762256,"orgSlug":"aixwatch","orgName":"aixwatch","slug":"aix-errpt-loki-agent","downloads":2,"revisionId":40716,"revision":1,"name":"AIX errpt - Loki Agent","description":"AIX error report (errpt) dashboard for loki-agent. Fleet timeline, alerting panel, error volume, heatmap, top resources, and detailed log entries.","readme":"## About this dashboard\r\n\r\nThis dashboard provides comprehensive AIX error report (errpt) \r\nmonitoring through a Grafana Loki backend. It is designed for \r\nIBM Power Systems administrators who need real-time visibility \r\ninto system errors across their AIX/IBM i fleet.\r\n\r\n## What you'll see\r\n\r\n- **Fleet timeline**: errors across all your AIX hosts in one view\r\n- **Alerting panel**: critical errors that require immediate attention\r\n- **Error volume**: trends over time to spot patterns\r\n- **Heatmap**: error distribution by host and time window\r\n- **Top resources**: which subsystems are generating the most errors\r\n- **Detailed log entries**: drill-down to specific events\r\n\r\n## How to use this dashboard\r\n\r\nThis dashboard requires:\r\n\r\n1. **Loki Agent for AIX** — native log forwarder for AIX systems \r\n   that pushes errpt entries to Grafana Loki without intermediate \r\n   transformations. No syslog hacks, no fragile shell scripts.\r\n\r\n2. **Grafana Loki** — any standard Loki backend (self-hosted or \r\n   Grafana Cloud)\r\n\r\n3. **Standard log labels** — the agent ships with sensible defaults \r\n   (host, sequence, error_id, class, type, resource_name)\r\n\r\n## About AIXwatch\r\n\r\nThis dashboard is part of **AIXwatch**, native observability tools \r\nfor IBM Power Systems built by [Nicolas Gravillon](https://www.linkedin.com/in/nicolas-gravillon/), \r\ninfrastructure engineer with 25 years of AIX experience.\r\n\r\nLoki Agent for AIX, AIX-exporter (Prometheus), and other components \r\nare designed to bring your IBM Power workloads into the modern \r\nobservability stack — Prometheus, Grafana, Loki — natively.\r\n\r\n🔗 Learn more: [aixwatch.com](https://aixwatch.com)\r\n🔗 Loki Agent for AIX: [aixwatch.com/product/loki-agent](https://aixwatch.com)\r\n\r\n## Feedback\r\n\r\nFound a bug or have suggestions? Open an issue at [GitHub] \r\nor reach out via [aixwatch.com/contact].\r\n\r\n## License\r\n\r\nThis dashboard is provided as-is under MIT license. \r\nLoki Agent for AIX is a commercial product with perpetual licensing.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2026-05-11T06:12:12.000Z","updatedAt":"2026-05-12T04:43:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25285"},{"rel":"revisions","href":"/dashboards/25285/revisions"},{"rel":"revision","href":"/dashboards/25285/revisions/1"},{"rel":"download","href":"/dashboards/25285/revisions/1/download"},{"rel":"org","href":"/orgs/aixwatch"},{"rel":"images","href":"/dashboards/25285/images"},{"rel":"thumbnails","href":"/dashboards/25285/thumbnails"}],"datasourceSlugs":["loki"]},{"id":1701,"status":1,"statusCode":"active","orgId":44845,"orgSlug":"adejoux","orgName":"adejoux","slug":"aix-nmon-individual-disks","downloads":2437,"revisionId":2274,"revision":1,"name":"AIX NMON Individual disks","description":"NMON disks statistics","readme":"This dashboard focus on disk metrics from AIX NMON files imported in influxdb by nmon2influxdb:\r\n\r\n        nmon2influxdb import aixserver.nmon\r\n\r\nFull documentation available at: http://nmon2inflxudb.org","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-03-20T09:38:33.000Z","updatedAt":"2017-03-20T09:48:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/1701"},{"rel":"revisions","href":"/dashboards/1701/revisions"},{"rel":"revision","href":"/dashboards/1701/revisions/1"},{"rel":"download","href":"/dashboards/1701/revisions/1/download"},{"rel":"org","href":"/orgs/adejoux"},{"rel":"images","href":"/dashboards/1701/images"},{"rel":"thumbnails","href":"/dashboards/1701/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":1555,"status":1,"statusCode":"active","orgId":44845,"orgSlug":"adejoux","orgName":"adejoux","slug":"aix-nmon-report","downloads":3589,"revisionId":2092,"revision":1,"name":"AIX NMON report","description":"nmon dashboard from nmon2influxdb","readme":"AIX or linux NMON files imported in influxdb by nmon2influxdb:\r\n\r\n```\r\nnmon2influxdb import aixserver.nmon\r\n```\r\n\r\nFull documentation available at:  http://nmon2inflxudb.org\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-02-21T08:27:39.000Z","updatedAt":"2017-02-21T08:53:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/1555"},{"rel":"revisions","href":"/dashboards/1555/revisions"},{"rel":"revision","href":"/dashboards/1555/revisions/1"},{"rel":"download","href":"/dashboards/1555/revisions/1/download"},{"rel":"org","href":"/orgs/adejoux"},{"rel":"images","href":"/dashboards/1555/images"},{"rel":"thumbnails","href":"/dashboards/1555/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":25288,"status":1,"statusCode":"active","orgId":1762256,"orgSlug":"aixwatch","orgName":"aixwatch","slug":"aix-server-overview","downloads":5,"revisionId":40730,"revision":1,"name":"AIX Server Overview — Native Prometheus monitoring for IBM Power","description":"Comprehensive AIX server monitoring dashboard powered by AIX-exporter, \r\na native Prometheus exporter for IBM Power Systems. Visualizes CPU \r\n(user/sys/wait/SPURR per logical CPU), memory, paging, network, \r\nfilesystems, and process activity — all without intermediate scripts \r\nor syslog hacks.","readme":"## About this dashboard\r\n\r\nThis dashboard provides comprehensive server-level monitoring \r\nfor IBM AIX systems through the **AIX-exporter**, a native \r\nPrometheus exporter purpose-built for IBM Power Systems.\r\n\r\nIt is designed for infrastructure teams running AIX workloads \r\nin production who need first-class observability — without \r\nfragile shell scripts, syslog hacks, or generic SNMP collectors.\r\n\r\n## What you'll see\r\n\r\n- **CPU**: user / sys / wait / idle per logical CPU, \r\n  Physical Core Usage (SPURR), entitled vs consumed capacity\r\n- **Memory**: real memory, computational vs file pages, \r\n  pinned memory, paging space activity\r\n- **Storage**: filesystem usage, JFS2 stats, I/O latency \r\n  per disk, multipathing health\r\n- **Network**: throughput per interface, errors, packet rates\r\n- **Processes**: top processes by CPU and memory, run queue, \r\n  load average\r\n- **System**: uptime, kernel parameters, partition info \r\n  (LPAR mode, entitled capacity, virtual processors)\r\n\r\n## How to use this dashboard\r\n\r\nThis dashboard requires:\r\n\r\n1. **AIX-exporter** — native Prometheus exporter for IBM AIX \r\n   reading from libperfstat, ODM, and AIX system commands. \r\n   Listens on port 9106 by default.\r\n\r\n2. **Prometheus** — any standard Prometheus instance scraping \r\n   AIX-exporter (self-hosted or Grafana Cloud)\r\n\r\n3. **Standard labels** — the exporter exposes sensible defaults \r\n   (hostname, partition_name, lpar_id, system_serial)\r\n\r\n## About AIXwatch\r\n\r\nThis dashboard is part of **AIXwatch**, native observability \r\ntools for IBM Power Systems built by Nicolas Gravillon, \r\ninfrastructure engineer with 25 years of AIX, PowerHA, and \r\nSAN/Storage experience (BCSD certified).\r\n\r\nAIX-exporter and Loki Agent for AIX are designed to bring your \r\nIBM Power workloads into the modern observability stack — \r\nPrometheus, Grafana, Loki — natively, without compromises.\r\n\r\n🔗 Learn more: https://aixwatch.com\r\n🔗 AIX-exporter product page: https://aixwatch.com\r\n\r\n## Feedback\r\n\r\nFound a bug or have suggestions? Reach out via aixwatch.com/contact \r\nor connect on LinkedIn.\r\n\r\n## License\r\n\r\nThis dashboard is provided as-is under MIT license. \r\nAIX-exporter is a commercial product with perpetual licensing \r\n($115/LPAR).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-05-11T17:45:09.000Z","updatedAt":"2026-05-12T04:49:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25288"},{"rel":"revisions","href":"/dashboards/25288/revisions"},{"rel":"revision","href":"/dashboards/25288/revisions/1"},{"rel":"download","href":"/dashboards/25288/revisions/1/download"},{"rel":"org","href":"/orgs/aixwatch"},{"rel":"images","href":"/dashboards/25288/images"},{"rel":"thumbnails","href":"/dashboards/25288/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22424,"status":1,"statusCode":"active","orgId":992841,"orgSlug":"hughyw","orgName":"hughyw","slug":"ai-gpu-20241127","downloads":1374,"revisionId":35257,"revision":3,"name":"AI智算-GPU资源监控概览-20241127","description":"适用于AI智算场景中监控NVIDIA GPU资源概览,依赖组件: dcgm-exporter:3.3.0-3.2.0-ubuntu22.04、prometheus:v2.39.1、grafana:10.3.3","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-11-27T09:31:43.000Z","updatedAt":"2024-11-30T05:59:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22424"},{"rel":"revisions","href":"/dashboards/22424/revisions"},{"rel":"revision","href":"/dashboards/22424/revisions/3"},{"rel":"download","href":"/dashboards/22424/revisions/3/download"},{"rel":"org","href":"/orgs/hughyw"},{"rel":"images","href":"/dashboards/22424/images"},{"rel":"thumbnails","href":"/dashboards/22424/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11190,"status":1,"statusCode":"active","orgId":63322,"orgSlug":"akiraka","orgName":"akiraka","slug":"es-nginx-logs","downloads":4054,"revisionId":18994,"revision":7,"name":"AKA ES Nginx Logs","description":"由神翔，青空，睿希完成","readme":"### 一、介绍\n* 由Q群：IT信息文案策划中心 制作\n* https://www.akiraka.net\n\n### 二、Update Logs\n#### 2020-04-23\n1)  新增今日访问pv、今日访问uv、7天访问pv图表\n2)  针对k8s ingress nginx 日志已测试ok。\n3)  k8s 部署文档正在写\n#### 2020-09-30\n1)  反馈导入必须有 Prometheus 现已移除 Prometheus\n\n### 三、ELK Version\nName|7.3.1|7.6.1|7.9.1\n--|--|--|--\nkibana  | ok  | ok | ok\nfilebeat  | ok  | ok | ok\nlogstash  | ok  | ok | ok\nelasticsearch | ok  | ok |ok\n\n### 四、Error\n1)  字段错误\n```\nlogstash 引索必须是 logstash-* 开头，否则需要修改logstash 才可正常\n```\n\n### Nginx 字段\n* 请保证 nginx 使用该字段，名称如果有修改，grafana 模板需要做一定修改\n```\nlog_format aka_logs\n    '{\"@timestamp\":\"$time_iso8601\",'\n    '\"host\":\"$hostname\",'\n    '\"server_ip\":\"$server_addr\",'\n    '\"client_ip\":\"$remote_addr\",'\n    '\"xff\":\"$http_x_forwarded_for\",'\n    '\"domain\":\"$host\",'\n    '\"url\":\"$uri\",'\n    '\"referer\":\"$http_referer\",'\n    '\"args\":\"$args\",'\n    '\"upstreamtime\":\"$upstream_response_time\",'\n    '\"responsetime\":\"$request_time\",'\n    '\"request_method\":\"$request_method\",'\n    '\"status\":\"$status\",'\n    '\"size\":\"$body_bytes_sent\",'\n    '\"request_body\":\"$request_body\",'\n    '\"request_length\":\"$request_length\",'\n    '\"protocol\":\"$server_protocol\",'\n    '\"upstreamhost\":\"$upstream_addr\",'\n    '\"file_dir\":\"$request_filename\",'\n    '\"http_user_agent\":\"$http_user_agent\"'\n  '}';\n```\n\n### filebeat 配置\n```\n#=========================== Filebeat inputs =============================\nfilebeat.inputs:\n# 收集nginx日志\n- type: log\n  enabled: true\n  paths:\n    - /data/wwwlogs/*_nginx.log\n# 日志是json开启这个\n  json.keys_under_root: true\n  json.overwrite_keys: true\n  json.add_error_key: true\n\n#-------------------------- Redis output ------------------------------\noutput.redis:\n  hosts: [\"host\"]   #输出到redis的机器\n  password: \"password\"\n  key: \"nginx_logs\"   #redis中日志数据的key值ֵ\n  db: 0\n  timeout: 5\n\n```\n\n### logstash 配置\n```\ninput {\n  # redis nginx key\n  redis {\n    data_type =>\"list\"\n    key =>\"nginx_logs\"\n    host =>\"redis\"\n    port => 6379\n    password => \"password\"\n    db => 0\n  }\n}\n\nfilter {\n  geoip {\n    #multiLang => \"zh-CN\"\n    target => \"geoip\"\n    source => \"client_ip\"\n    database => \"/usr/share/logstash/GeoLite2-City.mmdb\"\n    add_field => [ \"[geoip][coordinates]\", \"%{[geoip][longitude]}\" ]\n    add_field => [ \"[geoip][coordinates]\", \"%{[geoip][latitude]}\" ]\n    # 去掉显示 geoip 显示的多余信息\n    remove_field => [\"[geoip][latitude]\", \"[geoip][longitude]\", \"[geoip][country_code]\", \"[geoip][country_code2]\", \"[geoip][country_code3]\", \"[geoip][timezone]\", \"[geoip][continent_code]\", \"[geoip][region_code]\"]\n  }\n  mutate {\n    convert => [ \"size\", \"integer\" ]\n    convert => [ \"status\", \"integer\" ]\n    convert => [ \"responsetime\", \"float\" ]\n    convert => [ \"upstreamtime\", \"float\" ]\n    convert => [ \"[geoip][coordinates]\", \"float\" ]\n    # 过滤 filebeat 没用的字段,这里过滤的字段要考虑好输出到es的，否则过滤了就没法做判断\n    remove_field => [ \"ecs\",\"agent\",\"host\",\"cloud\",\"@version\",\"input\",\"logs_type\" ]\n  }\n  # 根据http_user_agent来自动处理区分用户客户端系统与版本\n  useragent {\n    source => \"http_user_agent\"\n    target => \"ua\"\n    # 过滤useragent没用的字段\n    remove_field => [ \"[ua][minor]\",\"[ua][major]\",\"[ua][build]\",\"[ua][patch]\",\"[ua][os_minor]\",\"[ua][os_major]\" ]\n  }\n}\noutput {\n  elasticsearch {\n    hosts => \"es-master\"\n    user => \"elastic\"\n    password => \"password\"\n    index => \"logstash-nginx-%{+YYYY.MM.dd}\"\n  }\n}\n```\n### 图片\n![image](https://ae01.alicdn.com/kf/H1f4fb17500f244859f10ee0702b4d701q.png)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2019-11-14T09:40:17.000Z","updatedAt":"2020-12-04T11:17:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":12,"reviewsAvgRating":4.42,"links":[{"rel":"self","href":"/dashboards/11190"},{"rel":"revisions","href":"/dashboards/11190/revisions"},{"rel":"revision","href":"/dashboards/11190/revisions/7"},{"rel":"download","href":"/dashboards/11190/revisions/7/download"},{"rel":"org","href":"/orgs/akiraka"},{"rel":"images","href":"/dashboards/11190/images"},{"rel":"thumbnails","href":"/dashboards/11190/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":11119,"status":1,"statusCode":"active","orgId":63322,"orgSlug":"akiraka","orgName":"akiraka","slug":"elasticsearch-nginx-logs","downloads":725,"revisionId":15530,"revision":1,"name":"AKA ES Nginx Logs_1.0","description":"由青空完成","readme":"### filebear收集数据到redis，然后logstash从redis消费，将日志输出给elasticsearch中\nELK 版本：7.3\n\n### 修改nginx配置\n```\n######## Obtain IP and domain name and write to log ########\n  log_format aka_logs\n    '{\"@timestamp\":\"$time_iso8601\",'\n    '\"domain\":\"$host\",'\n    '\"server_ip\":\"$server_addr\",'\n    '\"client_ip\":\"$remote_addr\",'\n    '\"size\":\"$body_bytes_sent\",'\n    '\"responsetime\":\"$request_time\",'\n    '\"upstreamtime\":\"$upstream_response_time\",'\n    '\"request_method\":\"$request_method\",'\n    '\"url\":\"$uri\",'\n    '\"http_user_agent\":\"$http_user_agent\",'\n    '\"status\":\"$status\",'\n    '\"referer\":\"$http_referer\"'\n  '}';\n```\n\n\n### filebeat 参考配置\n```\n#=========================== Filebeat inputs =============================\nfilebeat.inputs:\n# 收集 nginx 日志\n- type: log\n  enabled: true\n  paths:\n    - /data/wwwlogs/*_nginx.log\n  tags: [\"nginx_logs\"]\n# 日志是json开启这个\n  json.keys_under_root: true\n  json.overwrite_keys: true\n  json.add_error_key: true\n# 如果值为ture，那么fields存储在输出文档的顶级位置\n  fields_under_root: true\n  fields:\n    logs_type: \"nginx_logs\"\n\n# 收集 tomcat 日志\n- type: log\n  enabled: true\n  paths:\n    - /data/wwwroot/dd-formal/logs/catalina.out\n  tags: [\"tomcat_logs\"]\n  fields_under_root: true\n  fields:\n    logs_type: \"dd\"\n\n- type: log\n  enabled: true\n  paths:\n    - /data/wwwroot/cc-formal/logs/catalina.out\n  tags: [\"tomcat_logs\"]\n  fields_under_root: true\n  fields:\n    logs_type: \"cc\"\n\n- type: log\n  enabled: true\n  paths:\n    - /data/wwwroot/bb-formal/logs/catalina.out\n  tags: [\"tomcat_logs\"]\n  fields_under_root: true\n  fields:\n    logs_type: \"bb\"\n\n- type: log\n  enabled: true\n  paths:\n    - /data/wwwroot/aa-formal/logs/catalina.out\n  tags: [\"tomcat_logs\"]\n  fields_under_root: true\n  fields:\n    logs_type: \"aa\"\n\n#设置删除不必要的字段\nprocessors:         \n - drop_fields:\n    fields: [ \"ecs\",\"agent\",\"host\",\"cloud\",\"@version\" ]\n\n#============================= Filebeat modules ===============================\nfilebeat.config.modules:\n  # Glob pattern for configuration loading\n  path: ${path.config}/modules.d/*.yml\n  # Set to true to enable config reloading\n  reload.enabled: false\n  # Period on which files under path should be checked for changes\n  #reload.period: 10s\n#==================== Elasticsearch template setting ==========================\nsetup.template.settings:\n  index.number_of_shards: 3\n  #index.codec: best_compression\n  #_source.enabled: false\n\n#-------------------------- Redis output ------------------------------\noutput.redis:\n  hosts: [\"172.16.8.74:6379\"]   #输出到redis的机器\n  password: \"password\"\n  key: \"bole-tomcat_logs\"  #redis中日志数据的key值ֵ\n  db: 0\n  timeout: 5\n  keys:\n    - key: \"bole-nginx_logs\"\n      when.contains:\n        logs_type: \"nginx_logs\"\n\n#================================ Processors =====================================\n# Configure processors to enhance or manipulate events generated by the beat.\nprocessors:\n  - add_host_metadata: ~\n  - add_cloud_metadata: ~\n```\n\n### logstash 参考配置\n```\n### logstash\ninput {\n  # bole-nginx\n  redis {\n    data_type =>\"list\"\n    key =>\"bole-nginx_logs\"\n    host =>\"redis\"\n    port => 6379\n    password => \"password\"\n    db => 0\n    type => nginx_logs\n  }\n\n  # master-tomcat\n  redis {\n    data_type =>\"list\"\n    key =>\"bole-tomcat_logs\"\n    host =>\"redis\"\n    port => 6379\n    password => \"password\"\n    db => 0\n    type => tomcat_logs\n  }\n}\n\nfilter {\n  if [type] in \"nginx_logs\" {\n    geoip {\n      #multiLang => \"zh-CN\"\n      target => \"geoip\"\n      source => \"client_ip\"\n      #database => \"/opt/logstash-7.3.1/GeoLite2-City.mmdb\"\n      database => \"/usr/share/logstash/GeoLite2-City.mmdb\"\n      add_field => [ \"[geoip][coordinates]\", \"%{[geoip][longitude]}\" ]\n      add_field => [ \"[geoip][coordinates]\", \"%{[geoip][latitude]}\" ]\n      # 去掉显示 geoip 显示的多余信息\n      remove_field => [\"[geoip][latitude]\", \"[geoip][longitude]\", \"[geoip][country_code]\", \"[geoip][country_code2]\", \"[geoip][country_code3]\", \"[geoip][timezone]\", \"[geoip][continent_code]\", \"[geoip][region_code]\"]\n    }\n    mutate { \n      convert => [ \"size\", \"integer\" ]\n      convert => [ \"status\", \"integer\" ]\n      convert => [ \"responsetime\", \"float\" ]\n      convert => [ \"upstreamtime\", \"float\" ]\n      convert => [ \"[geoip][coordinates]\", \"float\" ]\n      # 过滤 filebeat 没用的字段,这里过滤的字段要考虑好输出到es的，否则过滤了就没法做判断\n      remove_field => [ \"ecs\",\"agent\",\"host\",\"cloud\",\"@version\",\"input\",\"logs_type\" ]\n    }\n    # 根据http_user_agent来自动处理区分用户客户端系统与版本\n    useragent {\n      source => \"http_user_agent\"\n      target => \"ua\"\n      # 过滤useragent没用的字段\n      remove_field => [ \"[ua][minor]\",\"[ua][major]\",\"[ua][build]\",\"[ua][patch]\",\"[ua][os_minor]\",\"[ua][os_major]\" ]\n    }\n  }\n  if [type] in \"tomcat_logs\" {\n    grok {\n      match => { \"message\" => \"%{TIMESTAMP_ISO8601:access_time}\\s+\\[(?<level>[\\s\\S]*)\\]\\s+\\[%{DATA:exception_info}\\](?<content>[\\s\\S]*)\" }\n    }\n    date {\n      match => [ \"access_time\",\"MMM  d HH:mm:ss\", \"MMM dd HH:mm:ss\", \"ISO8601\"]\n    }\n    mutate {\n      # 过滤 filebeat 没用的字段,这里过滤的字段要考虑好输出到es的，否则过滤了就没法做判断\n      remove_field => [ \"ecs\",\"agent\",\"host\",\"cloud\",\"@version\",\"message\",\"input\" ]\n    }\n  }\n}\n\noutput {\n  # 收集服务器 nginx 日志\n  if [type] in \"nginx_logs\" {\n    elasticsearch {\n      hosts => \"es-master\"\n      user => \"elastic\"\n      password => \"password\"\n      index => \"logstash-nginx-%{+YYYY.MM.dd}\"\n    }\n  }\n  # 收集服务器 tomcat 日志\n  if [type] in \"tomcat_logs\" {\n    elasticsearch {\n      hosts => \"es-master\"\n      user => \"elastic\"\n      password => \"password\"\n      index => \"logstash-tomcat-%{+YYYY.MM.dd}\"\n    }\n  }\n}\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2019-11-06T09:28:06.000Z","updatedAt":"2020-12-04T11:17:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11119"},{"rel":"revisions","href":"/dashboards/11119/revisions"},{"rel":"revision","href":"/dashboards/11119/revisions/1"},{"rel":"download","href":"/dashboards/11119/revisions/1/download"},{"rel":"org","href":"/orgs/akiraka"},{"rel":"images","href":"/dashboards/11119/images"},{"rel":"thumbnails","href":"/dashboards/11119/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":15473,"status":1,"statusCode":"active","orgId":63322,"orgSlug":"akiraka","orgName":"akiraka","slug":"aka-snmp-network","downloads":1104,"revisionId":23346,"revision":2,"name":"AKA SNMP Network(网络设备监控)","description":"For snmp exporter with interface","readme":"#### docker compose\n```bash\nversion: '2'\nservices:\n  prometheus:\n    image: prom/prometheus:v2.29.2\n    container_name: prometheus\n    hostname: prometheus\n    restart: always\n    user: root\n    volumes:\n      - /etc/localtime:/etc/localtime\n      - /data/prometheus/prom_data:/prometheus\n      - /data/prometheus/prom_config/prometheus.yml:/etc/prometheus/prometheus.yml\n    ports:\n      - \"9090:9090\"\n    depends_on:\n      - snmp-exporter\n  snmp-exporter:\n    image: prom/snmp-exporter:v0.20.0\n    container_name: snmp-exporter\n    restart: always\n    environment:\n      TZ: Asia/Shanghai\n    volumes:\n      - /etc/localtime:/etc/localtime\n      #- /data/prometheus/snmp_conf:/etc/snmp_exporter\n    ports:\n    - 9116:9116\nnetworks:\n  default:\n    external:\n      name: aka-network\n```\n\n#### prometheus.yml\n```bash\nmkdir -p /data/prometheus/prom_config/\nvim prometheus.yml\n\nglobal:\n  scrape_interval:     15s # By default, scrape targets every 15 seconds.\n  evaluation_interval: 15s # By default, scrape targets every 15 seconds.\n  external_labels:\n      monitor: 'elsa'\nscrape_configs:\n  - job_name: 'prometheus'\n    scrape_interval: 5s\n    static_configs:\n      - targets: ['192.168.157.206:9090']\n  - job_name: '4F_H3C'\n    static_configs:\n      - targets:\n        - x.x.x.x:55161 # 填写路由地址\n    metrics_path: /snmp\n    params:\n      module: [if_mib]\n    relabel_configs:\n      - source_labels: [__address__]\n        target_label: __param_target\n      - source_labels: [__param_target]\n        target_label: instance\n      - target_label: __address__\n        replacement: 'snmp-exporter:9116'  # SNMP exporter.\n```\n\n#### snmp v2认证\n```\n# 修改 snmp.yml 文件 增加以下内容\nh3c:\n  version: 2\n  auth:\n    community: xxxxx\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-01-05T10:19:36.000Z","updatedAt":"2022-01-05T11:02:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15473"},{"rel":"revisions","href":"/dashboards/15473/revisions"},{"rel":"revision","href":"/dashboards/15473/revisions/2"},{"rel":"download","href":"/dashboards/15473/revisions/2/download"},{"rel":"org","href":"/orgs/akiraka"},{"rel":"images","href":"/dashboards/15473/images"},{"rel":"thumbnails","href":"/dashboards/15473/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21949,"status":1,"statusCode":"active","orgId":913625,"orgSlug":"fakesides","orgName":"fakesides","slug":"aka-inputs","downloads":248,"revisionId":34358,"revision":1,"name":"AKA-INPUTS","description":"AKAMAI-NP","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"apache","datasource":"InfluxDB","privacy":"public","createdAt":"2024-09-23T09:30:29.000Z","updatedAt":"2024-09-23T09:45:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21949"},{"rel":"revisions","href":"/dashboards/21949/revisions"},{"rel":"revision","href":"/dashboards/21949/revisions/1"},{"rel":"download","href":"/dashboards/21949/revisions/1/download"},{"rel":"org","href":"/orgs/fakesides"},{"rel":"images","href":"/dashboards/21949/images"},{"rel":"thumbnails","href":"/dashboards/21949/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22878,"status":1,"statusCode":"active","orgId":1242004,"orgSlug":"isvanipioto0","orgName":"isvanipioto0","slug":"akademia-dashboard","downloads":250,"revisionId":36144,"revision":1,"name":"AKADEMIA Dashboard","description":"KP's","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2025-02-17T19:55:01.000Z","updatedAt":"2025-02-17T19:55:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22878"},{"rel":"revisions","href":"/dashboards/22878/revisions"},{"rel":"revision","href":"/dashboards/22878/revisions/1"},{"rel":"download","href":"/dashboards/22878/revisions/1/download"},{"rel":"org","href":"/orgs/isvanipioto0"},{"rel":"images","href":"/dashboards/22878/images"},{"rel":"thumbnails","href":"/dashboards/22878/thumbnails"}],"datasourceSlugs":["grafana-postgresql-datasource"]},{"id":22504,"status":1,"statusCode":"active","orgId":1291986,"orgSlug":"hoangttr","orgName":"Hoangtt","slug":"akamai-observability","downloads":276,"revisionId":35378,"revision":1,"name":"Akamai Observability","description":"Akamai Observability powered by Hydrolix dashboard for datastream2\t","readme":"lorem ipsum","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"ClickHouse","privacy":"public","createdAt":"2024-12-11T03:28:26.000Z","updatedAt":"2024-12-19T07:43:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22504"},{"rel":"revisions","href":"/dashboards/22504/revisions"},{"rel":"revision","href":"/dashboards/22504/revisions/1"},{"rel":"download","href":"/dashboards/22504/revisions/1/download"},{"rel":"org","href":"/orgs/hoangttr"},{"rel":"images","href":"/dashboards/22504/images"},{"rel":"thumbnails","href":"/dashboards/22504/thumbnails"}],"datasourceSlugs":["grafana-clickhouse-datasource"]},{"id":19698,"status":1,"statusCode":"active","orgId":958253,"orgSlug":"evanveen","orgName":"evanveen","slug":"akamai-observability","downloads":354,"revisionId":30235,"revision":1,"name":"Akamai Observability","description":"Akamai Hydrolix Dashboard","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"ClickHouse","privacy":"public","createdAt":"2023-10-03T17:03:41.000Z","updatedAt":"2023-10-03T17:05:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19698"},{"rel":"revisions","href":"/dashboards/19698/revisions"},{"rel":"revision","href":"/dashboards/19698/revisions/1"},{"rel":"download","href":"/dashboards/19698/revisions/1/download"},{"rel":"org","href":"/orgs/evanveen"},{"rel":"images","href":"/dashboards/19698/images"},{"rel":"thumbnails","href":"/dashboards/19698/thumbnails"}],"datasourceSlugs":["grafana-clickhouse-datasource"]},{"id":19543,"status":1,"statusCode":"active","orgId":938725,"orgSlug":"frikkie1","orgName":"frikkie1","slug":"akamai-siem","downloads":354,"revisionId":29979,"revision":1,"name":"Akamai SIEM","description":"Akamai SIEM powered by Hydrolix dashboard for security analytics\r\n","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"ClickHouse","privacy":"public","createdAt":"2023-09-12T06:20:38.000Z","updatedAt":"2023-09-12T06:21:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19543"},{"rel":"revisions","href":"/dashboards/19543/revisions"},{"rel":"revision","href":"/dashboards/19543/revisions/1"},{"rel":"download","href":"/dashboards/19543/revisions/1/download"},{"rel":"org","href":"/orgs/frikkie1"},{"rel":"images","href":"/dashboards/19543/images"},{"rel":"thumbnails","href":"/dashboards/19543/thumbnails"}],"datasourceSlugs":["grafana-clickhouse-datasource"]},{"id":16927,"status":1,"statusCode":"active","orgId":686819,"orgSlug":"akeyless","orgName":"akeyless","slug":"akeyless-gateway","downloads":426,"revisionId":36824,"revision":8,"name":"Akeyless-Gateway","description":"The Akeyless 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It can work with or without Akka.Cluster deployment.\r\n\r\nIt's designed to consume data from the [Phobos Akka.NET APM library](https://phobos.petabridge.com/) and will automatically format the data produced natively by Phobos into the charts without any additional effort. 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Monitor cluster health, actor performance, message throughput, and system reliability in real-time.\r\n\r\n## 🚀 Features\r\n- **Cluster Health Monitoring**: Track node status, membership changes, and network partitions\r\n- **Actor System Metrics**: Monitor live actors, message processing rates, and mailbox backlogs\r\n- **Performance Analytics**: Analyze message throughput by type and actor category\r\n- **Error Tracking**: View logging activity, exception rates, and actor crash statistics\r\n- **Sharding Insights**: Visualize shard and entity distribution across cluster nodes\r\n- **Real-time Alerting**: Built-in thresholds for system pressure indicators\r\n\r\n## 📋 Prerequisites\r\n- Akka.NET application with Phobos 2.x instrumentation\r\n- Prometheus data source configured in Grafana\r\n- OpenTelemetry metrics collection enabled\r\n\r\n## 🔧 Quick Setup\r\n1. Import dashboard JSON into your Grafana instance\r\n2. Configure Prometheus data source connection\r\n3. Set dashboard variables for your environment:\r\n   - **Job**: Your OTEL workload name\r\n   - **Instance**: Specific application instances\r\n   - **Actor Types**: Filter by `/user` or `/system` actors\r\n   - **Shard Region**: Available sharding regions\r\n\r\n## 📊 Dashboard Sections\r\n- **Cluster Status**: Node membership, reachability, and health overview\r\n- **Actor Metrics**: Live actor counts, throughput, and mailbox monitoring\r\n- **Logging & Errors**: Exception tracking and log analysis\r\n- **Sharding Statistics**: Shard distribution and entity placement\r\n\r\n## 🛠️ Customization\r\nThe dashboard supports filtering by job, instance, and actor categories. 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All this dashboard requires is a Prometheus instance that is accessible via Grafana and Phobos.\r\n\r\n**Dashboard Issues & Improvements**: you can submit requests and tickets to improve this Akka.NET + Phobos dashboard here: [https://github.com/petabridge/phobos-dashboards](https://github.com/petabridge/phobos-dashboards)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-02-24T23:35:02.000Z","updatedAt":"2025-09-03T18:01:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13964"},{"rel":"revisions","href":"/dashboards/13964/revisions"},{"rel":"revision","href":"/dashboards/13964/revisions/3"},{"rel":"download","href":"/dashboards/13964/revisions/3/download"},{"rel":"org","href":"/orgs/petabridge"},{"rel":"images","href":"/dashboards/13964/images"},{"rel":"thumbnails","href":"/dashboards/13964/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12180,"status":1,"statusCode":"active","orgId":294226,"orgSlug":"fb1w2w3y","orgName":"fb1w2w3y","slug":"aks-container-insights","downloads":1000473,"revisionId":38418,"revision":6,"name":"AKS Container Insights","description":"Global AKS Container Insights overview. Aggregates Azure Monitor Container Insights data from multiple AKS clusters and regions in a single view. Panels include: a geomap of total Running pod counts by Azure region, a Pods inventory table with status and restart highlights, and a Containers inventory table with image and lifecycle timestamps. Uses Azure Log Analytics (Kusto) via the Azure Monitor data source and supports subscription and Log Analytics workspace template variables. Default time range is last 3h; adjust as needed for investigations.","readme":"# AKS Container Insights\r\nGlobal view for listing all the pods and the containers from **multiple AKS clusters**.\r\n\r\n## Screenshots\r\n![aks-az-mon-2509](https://github.com/1w2w3y/grafana-dashboards/raw/master/aks-pods-az-monitor/aks-az-mon-2509.png)\r\n![aks-az-mon](https://github.com/1w2w3y/grafana-dashboards/raw/master/aks-pods-az-monitor/aks-az-mon.PNG)\r\n\r\n## Issues and feedback\r\nhttps://github.com/1w2w3y/grafana-dashboards/issues\r\n\r\n## Features\r\n* List all the pods and their important health status.\r\n* List all the containers, container image version, container health.\r\n\r\n## How it works?\r\n* Each AKS cluster need to [enable the Azure Monitor Container Insights](https://docs.microsoft.com/en-us/azure/azure-monitor/insights/container-insights-enable-existing-clusters).\r\n* Azure Monitor will periodically gather the pods and containers status from the Kubernetes API server.\r\n* The telemetry data collected from multiple AKS clusters will be sent to one [Log Analytics workspace](https://docs.microsoft.com/en-us/azure/azure-monitor/learn/quick-create-workspace)\r\n* Grafana will query the Log Analytics workspace for the pods and containers status.\r\n\r\n## Change history\r\n* 9/6/2025 Updated dashboard for Grafana 11.6\r\n* 9/22/2020 Fixed the broken Kusto query for listing the clusters\r\n* 7/9/2020 Fixed the broken container panel and updated the Dashboard to based on Grafana 7\r\n\r\n## Gallery link\r\nhttps://grafana.com/grafana/dashboards/12180-aks-container-insights/","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2020-04-26T06:41:20.000Z","updatedAt":"2025-09-17T15:49:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/12180"},{"rel":"revisions","href":"/dashboards/12180/revisions"},{"rel":"revision","href":"/dashboards/12180/revisions/6"},{"rel":"download","href":"/dashboards/12180/revisions/6/download"},{"rel":"org","href":"/orgs/fb1w2w3y"},{"rel":"images","href":"/dashboards/12180/images"},{"rel":"thumbnails","href":"/dashboards/12180/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":20811,"status":1,"statusCode":"active","orgId":1088515,"orgSlug":"houssemdellai","orgName":"houssemdellai","slug":"aks-container-logs","downloads":530,"revisionId":32220,"revision":2,"name":"AKS Container Logs","description":"View AKS container logs in Grafana using Azure Monitor.","readme":"View AKS container logs in Grafana using Azure Monitor data source.\r\nWith AKS, you can use `Azure Monitor Workspace for Prometheus` and `Azure Managed Grafana` to collect, query and visualize the metrics from AKS.\r\nAnd to collect logs, you can use `Azure Log Analytics`.\r\n\r\nIt is not common to use `Grafana` to visualize logs, but, technically it is possible !\r\nAnd it is also useful for two reasons:\r\n1. 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Thanks!\r\n\r\n\r\n## Credits\r\n\r\nThank's goes to maintainers of the Alertmanager! \r\nGreat work and thanks 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influxdb:\r\n\r\nhttps://drive.google.com/file/d/10HX9a6uYNWwnuO8p3OwvErWhM4adawrp/view\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-11-14T09:08:00.000Z","updatedAt":"2017-11-14T09:57:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3729"},{"rel":"revisions","href":"/dashboards/3729/revisions"},{"rel":"revision","href":"/dashboards/3729/revisions/1"},{"rel":"download","href":"/dashboards/3729/revisions/1/download"},{"rel":"org","href":"/orgs/alexsey"},{"rel":"images","href":"/dashboards/3729/images"},{"rel":"thumbnails","href":"/dashboards/3729/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19422,"status":1,"statusCode":"active","orgId":193429,"orgSlug":"aerospike","orgName":"Aerospike","slug":"all-flash","downloads":817,"revisionId":30632,"revision":2,"name":"All Flash","description":"Displays all critical metrics 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systems, PiKVM, Solis inverters, Tuya smart plugs, and more. 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The solution offers centralized monitoring, allowing you to keep a close watch on devices, track real-time exchange rates, and monitor solar power production efficiently.\r\n\r\n\r\n## Required Exporters 📦\r\n\r\n- **[Node Exporter](https://github.com/prometheus/node_exporter)**: Gathers essential hardware and OS metrics, such as CPU, memory, disk, and network usage, from your PiKVM and Raspberry Pi 4 devices. It’s a key component for monitoring system-level performance on Linux-based systems.\r\n\r\n- **[Windows Exporter](https://github.com/prometheus-community/windows_exporter)**: Similar to Node Exporter, but designed for Windows-based systems. It captures system metrics such as CPU usage, memory, disk I/O, and more, helping you monitor the health and performance of your Windows machines.\r\n\r\n- **[PromDapter](https://github.com/storj/promdapter)**: Works in conjunction with HWiNFO to collect detailed hardware metrics from Windows systems. This setup allows you to monitor temperatures, voltages, fan speeds, and other key hardware parameters.\r\n\r\n- **[Solis Inverter Exporter](https://github.com/luizbizzio/solis-inverter-exporter)**: Monitors your Solis inverter to collect essential solar power metrics, including current energy generation, daily production, and total output over time.\r\n\r\n- **[Tuya Smart Plug Exporter](https://github.com/luizbizzio/tuya-smart-plug-exporter)**: Collects and monitors power consumption, current, and voltage from your Tuya smart plugs, providing detailed insights into the energy usage and electrical characteristics of connected devices.\r\n\r\n- **[Currency Exporter](https://github.com/luizbizzio/currency-exporter)**: A specialized exporter that tracks real-time currency exchange rates. It’s ideal for monitoring financial metrics and keeping tabs on currency fluctuations.\r\n\r\n## Installation 🛠️\r\n\r\nTo set up this monitoring solution:\r\n\r\n1. **Set Up Exporters**: Follow the instructions provided in each exporter's repository to set them up on your respective devices. Ensure they are properly configured to expose metrics for Prometheus.\r\n\r\n2. **Configure Prometheus**: Ensure your Prometheus `prometheus.yml` file includes scrape configs for all the exporters mentioned above.\r\n\r\n3. **Import the Dashboard**: Import the [Grafana dashboard](https://grafana.com/grafana/dashboards/18852) by following these steps:\r\n   - Go to your Grafana instance.\r\n   - Navigate to `Dashboards` > `New` > `Import`.\r\n   - Enter the dashboard ID `21674` and click `Load`.\r\n   - Assign your data sources to the appropriate panels and save the dashboard.\r\n\r\n4. **Start Monitoring**: Access your Grafana dashboard and start monitoring your systems in real-time.\r\n\r\n## Dashboard 📈\r\n\r\nCheck out the Grafana dashboard here: [All in one](https://github.com/luizbizzio/grafana-all-in-one).\r\n\r\nThis dashboard is designed to provide a comprehensive view of all your systems, seamlessly integrating data from various 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alloy-config-template POC, demonstrating modular pipeline architectures, regex log parsing, and metric generation.","readme":"# Alloy Configuration Template Dashboard\r\n\r\nThis dashboard serves as a visualization layer for the Grafana Alloy Modular Configuration POC. It is designed to demonstrate the real-time processing, parsing, and metric generation capabilities of Grafana Alloy using modular pipelines.\r\n\r\n## Data Collection & Pipeline\r\n\r\nThe pipeline implements a **fail-first validation pattern** to ensure visibility into log processing health.\r\n\r\n### 1. Ingestion\r\n\r\nLogs are generated by a Python script in two distinct pipe-delimited formats to simulate inconsistent log sources:\r\n\r\n* **Format 1:** `date|start_time|end_time|latency_ms|method|detail|status|code`\r\n* **Format 2:** `|date|start_time|end_time|latency_ms|method|detail|status|code|`\r\n\r\n### 2. Processing (Grafana Alloy)\r\n\r\nThe configuration uses a modular approach, importing specialized pipeline components (`template.alloy` and `failing.alloy`) into a main `config.alloy` file. The processing stages include:\r\n\r\n* **Multi-Format Parsing:** Using `stage.regex` to handle both standard and wrapped pipe-delimited formats.\r\n* **Dynamic Labeling:** Extracting fields like `method`, `status`, and `status_code` into Loki labels for efficient querying.\r\n* **Validation:** Every log starts with `parse_status=\"failed\"`. Only if the regex successfully extracts a `method` value is the label updated to `parse_status=\"success\"`.\r\n\r\n### 3. Metric Generation\r\n\r\nThe dashboard visualizes Prometheus metrics generated directly from the log stream:\r\n\r\n* **Transaction Latency:** A histogram metric named `transaction_latency` is created from the extracted `latency` data.\r\n* **Metric Prefix:** All generated metrics use the `template_` prefix for easy discovery.\r\n\r\n## Project Repository\r\n\r\nThis dashboard is part of a larger Proof of Concept demonstrating modular Alloy configuration architectures. The full source code, including the log generator, pipeline configurations, and the Docker Compose infrastructure, can be found here:\r\n\r\n**https://github.com/m0r4a/alloy-config-demo**\r\n\r\n## Disclaimer\r\n\r\n**Do not use this dashboard for production environments.**\r\n\r\nThis configuration is intended solely for educational and demonstration purposes to validate specific parsing logic and modular import patterns in Grafana Alloy. 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It includes various metrics to help you track server performance, player statistics, and system health.\r\n\r\n## Features\r\n- Real-time monitoring of server performance metrics.\r\n- Customizable dashboards for different server aspects.\r\n- Metrics like player count, server tick rate, and more.\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-01-04T16:19:46.000Z","updatedAt":"2024-01-04T17:31:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20241"},{"rel":"revisions","href":"/dashboards/20241/revisions"},{"rel":"revision","href":"/dashboards/20241/revisions/1"},{"rel":"download","href":"/dashboards/20241/revisions/1/download"},{"rel":"org","href":"/orgs/emcifuntik"},{"rel":"images","href":"/dashboards/20241/images"},{"rel":"thumbnails","href":"/dashboards/20241/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20255,"status":1,"statusCode":"active","orgId":1024551,"orgSlug":"hydrarp","orgName":"hydrarp","slug":"alt-v-server-metrics","downloads":267,"revisionId":31223,"revision":1,"name":"alt:V Server Metrics","description":"Grafana dashboard configuration for monitoring an alt:V Multiplayer server.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-01-07T05:01:41.000Z","updatedAt":"2024-01-07T05:02:14.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20255"},{"rel":"revisions","href":"/dashboards/20255/revisions"},{"rel":"revision","href":"/dashboards/20255/revisions/1"},{"rel":"download","href":"/dashboards/20255/revisions/1/download"},{"rel":"org","href":"/orgs/hydrarp"},{"rel":"images","href":"/dashboards/20255/images"},{"rel":"thumbnails","href":"/dashboards/20255/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24792,"status":1,"statusCode":"active","orgId":298264,"orgSlug":"f9n","orgName":"f9n","slug":"altibase","downloads":7,"revisionId":39781,"revision":1,"name":"Altibase","description":"Altibase database monitoring dashboard — sessions, memory, replication, tablespaces, locks, I/O, and more via altibase-exporter.","readme":"# Altibase Exporter Dashboard\r\n\r\nComprehensive monitoring dashboard for [Altibase](https://altibase.com/) databases via [altibase-exporter](https://github.com/f9n/altibase-exporter) — a Prometheus exporter for Altibase.\r\n\r\n## What it shows\r\n\r\n- **Overview gauges:** Up status, scrape duration, buffer pool hit ratio, archive mode, instance uptime, Altibase/exporter version\r\n- **Sessions & Statements:** Total/active counts, breakdown by user\r\n- **Memory:** Memstat allocation, memory/disk table usage, per-table breakdown\r\n- **Buffer & Locks:** Buffer pool hit ratio, lock hold/wait counts, top-1 details\r\n- **Replication:** Sender/receiver counts, replication gap (by name, in bytes), sender XSN, net error flag\r\n- **Tablespace:** Usage ratio, total bytes, state (online/offline), disk curr/max bytes\r\n- **I/O:** File I/O reads/writes, wait time per file\r\n- **Queries:** Long-run, UTRANS, fullscan query counts with top-1 details\r\n- **Other:** GC gap, service threads, sysstat (V$SYSSTAT), sequence usage, jobs, user password info, properties\r\n\r\n## Setup\r\n\r\n1. Deploy [altibase-exporter](https://github.com/f9n/altibase-exporter) with a read-only JDBC connection to your Altibase instance.\r\n2. 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Deploy [altibase-exporter](https://github.com/f9n/altibase-exporter) with a read-only JDBC connection to your Altibase instance.\r\n2. 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[here](https://aws.amazon.com/blogs/mt/monitoring-generative-ai-applications-using-amazon-bedrock-and-amazon-cloudwatch-integration/).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2024-02-21T19:27:32.000Z","updatedAt":"2024-02-21T19:38:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20537"},{"rel":"revisions","href":"/dashboards/20537/revisions"},{"rel":"revision","href":"/dashboards/20537/revisions/1"},{"rel":"download","href":"/dashboards/20537/revisions/1/download"},{"rel":"org","href":"/orgs/sansmoraxz"},{"rel":"images","href":"/dashboards/20537/images"},{"rel":"thumbnails","href":"/dashboards/20537/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":11266,"status":1,"statusCode":"active","orgId":198258,"orgSlug":"sunker","orgName":"Grafana 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Thanks [@AliceProxy](https://github.com/AliceProxy)!\r\n\r\n### Revision 5\r\nComplete rewrite of the dashboard\r\n- Supports Prometheus data source and metrics format from Ambassador Edge Stack and Emissary-ingress version greater than `2.0`.\r\n- Divided into 5 sections, with graphs for each component:\r\n  - Emissary-ingress Control Plane\r\n  - Ambassador Edge Stack\r\n  - Envoy Data Plane\r\n  - Envoy Downstream (from clients)\r\n  - Envoy Upstream (to services)\r\n\r\n### Revision 4\r\n- Support for both statsd exported metrics and Prometheus scraped `/metrics` endpoint for Ambassador version greater than `0.71.0`. 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revisions:\r\n[https://github.com/alexgervais/ambassador-grafana](https://github.com/alexgervais/ambassador-grafana)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2018-02-13T18:36:11.000Z","updatedAt":"2023-06-20T20:22:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4698"},{"rel":"revisions","href":"/dashboards/4698/revisions"},{"rel":"revision","href":"/dashboards/4698/revisions/6"},{"rel":"download","href":"/dashboards/4698/revisions/6/download"},{"rel":"org","href":"/orgs/agervais"},{"rel":"images","href":"/dashboards/4698/images"},{"rel":"thumbnails","href":"/dashboards/4698/thumbnails"}]},{"id":13758,"status":1,"statusCode":"active","orgId":213926,"orgSlug":"nkrause","orgName":"Ambassador Labs","slug":"ambassador-edge-stack","downloads":12990,"revisionId":20107,"revision":1,"name":"Ambassador Edge 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information","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-07T15:58:47.000Z","updatedAt":"2018-07-07T16:33:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6873"},{"rel":"revisions","href":"/dashboards/6873/revisions"},{"rel":"revision","href":"/dashboards/6873/revisions/2"},{"rel":"download","href":"/dashboards/6873/revisions/2/download"},{"rel":"org","href":"/orgs/stono"},{"rel":"images","href":"/dashboards/6873/images"},{"rel":"thumbnails","href":"/dashboards/6873/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10614,"status":1,"statusCode":"active","orgId":264196,"orgSlug":"designbrij","orgName":"Brij P","slug":"analysis-by-cluster","downloads":357,"revisionId":14825,"revision":1,"name":"Analysis by Cluster","description":"A dashboard to help with cost and utilisation","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-07-25T14:05:30.000Z","updatedAt":"2019-07-25T14:06:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10614"},{"rel":"revisions","href":"/dashboards/10614/revisions"},{"rel":"revision","href":"/dashboards/10614/revisions/1"},{"rel":"download","href":"/dashboards/10614/revisions/1/download"},{"rel":"org","href":"/orgs/designbrij"},{"rel":"images","href":"/dashboards/10614/images"},{"rel":"thumbnails","href":"/dashboards/10614/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6876,"status":1,"statusCode":"active","orgId":165852,"orgSlug":"stono","orgName":"stono","slug":"analysis-by-namespace","downloads":17101,"revisionId":9375,"revision":2,"name":"Analysis by Namespace","description":"A dashboard to help with cost and utilisation","readme":"This is part 2 of 3 dashboards to help you visualise cost on kubernetes.\r\n\r\nPlease see my blog post: [https://karlstoney.com/2018/07/07/managing-your-costs-on-kubernetes](https://karlstoney.com/2018/07/07/managing-your-costs-on-kubernetes) for more information","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-07T16:00:23.000Z","updatedAt":"2018-07-07T16:32:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6876"},{"rel":"revisions","href":"/dashboards/6876/revisions"},{"rel":"revision","href":"/dashboards/6876/revisions/2"},{"rel":"download","href":"/dashboards/6876/revisions/2/download"},{"rel":"org","href":"/orgs/stono"},{"rel":"images","href":"/dashboards/6876/images"},{"rel":"thumbnails","href":"/dashboards/6876/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6879,"status":1,"statusCode":"active","orgId":165852,"orgSlug":"stono","orgName":"stono","slug":"analysis-by-pod","downloads":27066,"revisionId":9369,"revision":1,"name":"Analysis by Pod","description":"Part 3 of 3 dashboards to help you visualise your kubernetes costs.","readme":"This is part 3 of 3 dashboards to help you visualise cost on kubernetes.\r\n\r\nPlease see my blog post: [https://karlstoney.com/2018/07/07/managing-your-costs-on-kubernetes](https://karlstoney.com/2018/07/07/managing-your-costs-on-kubernetes) for more information","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-07T16:01:10.000Z","updatedAt":"2018-07-07T16:32:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":3.5,"links":[{"rel":"self","href":"/dashboards/6879"},{"rel":"revisions","href":"/dashboards/6879/revisions"},{"rel":"revision","href":"/dashboards/6879/revisions/1"},{"rel":"download","href":"/dashboards/6879/revisions/1/download"},{"rel":"org","href":"/orgs/stono"},{"rel":"images","href":"/dashboards/6879/images"},{"rel":"thumbnails","href":"/dashboards/6879/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7562,"status":1,"statusCode":"active","orgId":121602,"orgSlug":"ajmulhollan1","orgName":"AM","slug":"analysis-by-pod","downloads":963,"revisionId":10289,"revision":1,"name":"Analysis by Pod","description":"Part 3 of 3 dashboards to help you visualise your kubernetes costs.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-08-15T14:08:42.000Z","updatedAt":"2018-08-15T14:08:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7562"},{"rel":"revisions","href":"/dashboards/7562/revisions"},{"rel":"revision","href":"/dashboards/7562/revisions/1"},{"rel":"download","href":"/dashboards/7562/revisions/1/download"},{"rel":"org","href":"/orgs/ajmulhollan1"},{"rel":"images","href":"/dashboards/7562/images"},{"rel":"thumbnails","href":"/dashboards/7562/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11141,"status":1,"statusCode":"active","orgId":310750,"orgSlug":"rschef","orgName":"rschef","slug":"analysis-by-pod","downloads":992,"revisionId":15556,"revision":1,"name":"Analysis by Pod (k8s 1.16)","description":"Part 3 of 3 dashboards to help you visualise your kubernetes costs.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-08T16:56:28.000Z","updatedAt":"2019-11-08T16:57:17.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11141"},{"rel":"revisions","href":"/dashboards/11141/revisions"},{"rel":"revision","href":"/dashboards/11141/revisions/1"},{"rel":"download","href":"/dashboards/11141/revisions/1/download"},{"rel":"org","href":"/orgs/rschef"},{"rel":"images","href":"/dashboards/11141/images"},{"rel":"thumbnails","href":"/dashboards/11141/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13865,"status":1,"statusCode":"active","orgId":419157,"orgSlug":"panxora","orgName":"Austin Cooper","slug":"fgc-nginx01-web-analytics","downloads":10330,"revisionId":20414,"revision":6,"name":"Analytics - NGINX / LOKI v2+ Data Source / Promtail v2+ Tool","description":"Nginx access log analytics dashboard using Promtail and Loki v2+. Prometheus datasource is created from Loki service.","readme":"## Revision - 21st June 2022\r\n- Updated visitor map to support week on week comparison and top country listing\r\n\r\n## Revision - 20th February 2021\r\n- Changed overall dashboard look and initial display of panels.\r\n\r\n## Revision - 16th February 2021\r\n- Last 30 day graph of unique visitors to site added\r\n- Removed more browser and crawler bot statistics from unique visitors and other relevant panels\r\n\r\n## Revision - 12th February 2021\r\n- Changed Last 7 day graph from 'new time series beta graph' to standard graph display.\r\n- Removed further browser and crawler bot statistics from relevant panel - to add these back in edit the panel and remove below from query on each panel.\r\n```console\r\n| http_user_agent !~ \".*bot.*\" | remote_addr !~ \"2001:4ca0:108:42::*\" | remote_addr !~ \"91.134.156.*\" | http_user_agent != \"worldping-api\" | request_uri !~ \"/wp-.*\" | request_uri !~ \"//wp-.*\" | request_uri !~ \"/*.wordfence.*\" | request_uri !~ \"/robots.txt\" | request_uri !~ \"/xmlrpc.php\"\r\n```\r\n\r\n## Extension of original dashboard \r\n[https://grafana.com/grafana/dashboards/12559?pg=dashboards&plcmt=featured-main](https://grafana.com/grafana/dashboards/12559?pg=dashboards&plcmt=featured-main)\r\n\r\n## Setup of nginx, promtail & loki required \r\n[https://www.youtube.com/watch?v=kR5ay4lX0OM](https://www.youtube.com/watch?v=kR5ay4lX0OM)\r\n\r\n## Required nginx json log format configuration described below\r\n\r\n```console\r\nlog_format json_analytics escape=json '{'\r\n                            '\"msec\": \"$msec\", ' # request unixtime in seconds with a milliseconds resolution\r\n                            '\"connection\": \"$connection\", ' # connection serial number\r\n                            '\"connection_requests\": \"$connection_requests\", ' # number of requests made in connection\r\n                    '\"pid\": \"$pid\", ' # process pid\r\n                    '\"request_id\": \"$request_id\", ' # the unique request id\r\n                    '\"request_length\": \"$request_length\", ' # request length (including headers and body)\r\n                    '\"remote_addr\": \"$remote_addr\", ' # client IP\r\n                    '\"remote_user\": \"$remote_user\", ' # client HTTP username\r\n                    '\"remote_port\": \"$remote_port\", ' # client port\r\n                    '\"time_local\": \"$time_local\", '\r\n                    '\"time_iso8601\": \"$time_iso8601\", ' # local time in the ISO 8601 standard format\r\n                    '\"request\": \"$request\", ' # full path no arguments if the request\r\n                    '\"request_uri\": \"$request_uri\", ' # full path and arguments if the request\r\n                    '\"args\": \"$args\", ' # args\r\n                    '\"status\": \"$status\", ' # response status code\r\n                    '\"body_bytes_sent\": \"$body_bytes_sent\", ' # the number of body bytes exclude headers sent to a client\r\n                    '\"bytes_sent\": \"$bytes_sent\", ' # the number of bytes sent to a client\r\n                    '\"http_referer\": \"$http_referer\", ' # HTTP referer\r\n                    '\"http_user_agent\": \"$http_user_agent\", ' # user agent\r\n                    '\"http_x_forwarded_for\": \"$http_x_forwarded_for\", ' # http_x_forwarded_for\r\n                    '\"http_host\": \"$http_host\", ' # the request Host: header\r\n                    '\"server_name\": \"$server_name\", ' # the name of the vhost serving the request\r\n                    '\"request_time\": \"$request_time\", ' # request processing time in seconds with msec resolution\r\n                    '\"upstream\": \"$upstream_addr\", ' # upstream backend server for proxied requests\r\n                    '\"upstream_connect_time\": \"$upstream_connect_time\", ' # upstream handshake time incl. TLS\r\n                    '\"upstream_header_time\": \"$upstream_header_time\", ' # time spent receiving upstream headers\r\n                    '\"upstream_response_time\": \"$upstream_response_time\", ' # time spend receiving upstream body\r\n                    '\"upstream_response_length\": \"$upstream_response_length\", ' # upstream response length\r\n                    '\"upstream_cache_status\": \"$upstream_cache_status\", ' # cache HIT/MISS where applicable\r\n                    '\"ssl_protocol\": \"$ssl_protocol\", ' # TLS protocol\r\n                    '\"ssl_cipher\": \"$ssl_cipher\", ' # TLS cipher\r\n                    '\"scheme\": \"$scheme\", ' # http or https\r\n                    '\"request_method\": \"$request_method\", ' # request method\r\n                    '\"server_protocol\": \"$server_protocol\", ' # request protocol, like HTTP/1.1 or HTTP/2.0\r\n                    '\"pipe\": \"$pipe\", ' # \"p\" if request was pipelined, \".\" otherwise\r\n                    '\"gzip_ratio\": \"$gzip_ratio\", '\r\n                    '\"http_cf_ray\": \"$http_cf_ray\",'\r\n                    '\"geoip_country_code\": \"$geoip_country_code\"'\r\n                    '}';\r\n\r\naccess_log /var/log/nginx/access.log json_analytics;\r\n```\r\nAdding log_format to sites-available on Nginx :\r\n```console\r\nserver {\r\n....\r\n             access_log /var/log/nginx/website_access.log json_analytics;\r\n```\r\nFor IP to country mapping, also enable the Geo_IP module:\r\n```console\r\ngeoip_country /etc/nginx/GeoIP.dat;\r\ngeoip_city /etc/nginx/GeoIPCity.dat;\r\n```\r\nOption if you are using Cloudflare IP Geo location you can change the log_format :\r\n```console\r\n'\"geoip_country_code\": \"$http_cf_ipcountry\"'\r\n```\r\nCloudflare IP Geo location : [https://support.cloudflare.com/hc/en-us/articles/200168236-Configuring-Cloudflare-IP-Geolocation](https://support.cloudflare.com/hc/en-us/articles/200168236-Configuring-Cloudflare-IP-Geolocation)\r\n\r\nPromtail scrapes the log files best when you mount the log volume in the docker container.\r\n```console\r\n$ sudo mv promtail-config.yaml /mnt/config/\r\n$ docker create --name promtail --restart unless-stopped -v /mnt/config:/mnt/config -v /var/log:/var/log grafana/promtail:2.1.0 -config.file=/mnt/config/promtail-config.yaml\r\n$ docker start promtail\r\n```\r\n\r\nPromtail-config.yml file details. \r\n```console\r\nserver:\r\n  http_listen_port: 9080\r\n  grpc_listen_port: 0\r\n\r\npositions:\r\n  filename: /tmp/positions.yaml\r\n\r\nclients:\r\n  - url: http://<ip address>:3100/loki/api/v1/push\r\n\r\nscrape_configs:\r\n- job_name: system\r\n  static_configs:\r\n  - targets:\r\n      - localhost\r\n    labels:\r\n      job: varlogs\r\n      host: nginx01\r\n      agent: promtail\r\n      __path__: /var/log/*log\r\n\r\n- job_name: nginx\r\n  static_configs:\r\n  - targets:\r\n      - localhost\r\n    labels:\r\n      job: nginx\r\n      host: nginx01\r\n      agent: promtail\r\n      __path__: /var/log/nginx/*log\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2021-02-10T17:32:29.000Z","updatedAt":"2022-06-24T07:48:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13865"},{"rel":"revisions","href":"/dashboards/13865/revisions"},{"rel":"revision","href":"/dashboards/13865/revisions/6"},{"rel":"download","href":"/dashboards/13865/revisions/6/download"},{"rel":"org","href":"/orgs/panxora"},{"rel":"images","href":"/dashboards/13865/images"},{"rel":"thumbnails","href":"/dashboards/13865/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":18080,"status":1,"statusCode":"active","orgId":719035,"orgSlug":"povilasid","orgName":"povilasid","slug":"android-device","downloads":422,"revisionId":27763,"revision":1,"name":"Android devices","description":"Android device monitoring using Prometheus","readme":"A basic dashboard for [Prometheus android exporter](https://play.google.com/store/apps/details?id=info.knacki.prometheusandroidexporter) (I am not the author of the app)\r\n\r\nPrometheus configs:\r\n```\r\n  - job_name: 'android'\r\n    static_configs: \r\n    - targets: ['1.1.1.1:9100']\r\n      labels:\r\n        machine: 'Phone0'\r\n``` \r\nI added machine label to be able to filter based on device","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-11T13:20:03.000Z","updatedAt":"2023-02-11T13:28:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18080"},{"rel":"revisions","href":"/dashboards/18080/revisions"},{"rel":"revision","href":"/dashboards/18080/revisions/1"},{"rel":"download","href":"/dashboards/18080/revisions/1/download"},{"rel":"org","href":"/orgs/povilasid"},{"rel":"images","href":"/dashboards/18080/images"},{"rel":"thumbnails","href":"/dashboards/18080/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20719,"status":1,"statusCode":"active","orgId":1078643,"orgSlug":"wbsrv","orgName":"wbsrv","slug":"angie-dashboard","downloads":865,"revisionId":32041,"revision":1,"name":"Angie","description":"Grafana dashboard for Angie (fork of nginx) web server metrics","readme":"Understand [Angie](https://angie.software/) web server's metrics.\r\n\r\n## Setup\r\n* Using the the [http_prometheus](https://angie.software/en/configuration/modules/http_prometheus/) module, add the following changes to the http block of the configuration file:\r\n```\r\nhttp {\r\n\r\n    include prometheus_all.conf;\r\n\r\n    ...\r\n\r\n        location =/p8s {\r\n            prometheus all;\r\n        }\r\n}\r\n```\r\n* Add the following configuration to Prometheus:\r\n```\r\nscrape_configs:\r\n  - job_name: \"angie\"\r\n    scrape_interval: 15s\r\n    metrics_path: “/p8s”\r\n    static_configs:\r\n      - targets: [\"angie:80\"]\r\n```\r\nIt collects metrics from the specified target, angie:80, every 15 seconds, utilizing the /p8s configured at the previous step.\r\n\r\n\r\n## Metrics Monitored\r\n* Connections: Active/Idle, Accepted/Dropped Connections\r\n* Total HTTP Request Rate (per server zone/location zone/upstream)\r\n* HTTP Requests in Progress (per server zone/location zone/upstream)\r\n* HTTP Bandwidth (per server zone/location zone/upstream)\r\n* 200-300 HTTP Response Code Rate (per server zone/location zone/upstream)\r\n* 4xx HTTP Response Code Rate (per server zone/location zone/upstream)\r\n* 5xx HTTP Response Code Rate (per server zone/location zone/upstream)\r\n* HTTP Cache Size\r\n* HTTP Cache Request Stats\r\n* HTTP limit_conn and limit_req Stats\r\n* Slabs usage and allocation Stats\r\n* Resolver stats\r\n* SSL stats","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-18T12:40:43.000Z","updatedAt":"2024-03-22T14:20:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20719"},{"rel":"revisions","href":"/dashboards/20719/revisions"},{"rel":"revision","href":"/dashboards/20719/revisions/1"},{"rel":"download","href":"/dashboards/20719/revisions/1/download"},{"rel":"org","href":"/orgs/wbsrv"},{"rel":"images","href":"/dashboards/20719/images"},{"rel":"thumbnails","href":"/dashboards/20719/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24461,"status":1,"statusCode":"active","orgId":262655,"orgSlug":"webmaster1989","orgName":"webmaster1989","slug":"angie-metrics","downloads":106,"revisionId":40433,"revision":6,"name":"Angie Metrics","description":"Performance metrics for Angie (using the status API)","readme":"Angie metrics dashboard, it's collecting data via Telegraf (using [my own Angie Telegraf input plugin](https://github.com/melroy89/angie_telegraf_plugin)).\r\n\r\nYou will need to [migrate to NGINX to Angie](https://en.angie.software/angie/docs/configuration/migration/) in order to take advanced of status API interface (migration is very simple). Since the free nginx will *not* provide such an interface unless use buy NGINX Plus. However, Angie does come with such a status API for *free*.\r\n\r\nYou will however need to use my [provided Telegraf plugin](https://github.com/melroy89/angie_telegraf_plugin). See the README instructions on GitHub how-to build the code and how to add an external Telegraf plugin to your existing Telegraf setup. \r\nThe Nginx Plus plugin from Telegraf itself will not work with Angie, and my plugin is currently *not* included yet in Telegraf (sorry). But you can easily setup my plugin as an **external plugin** with Telegraf, that will work just fine. Again, see the README how to setup this plugin.\r\n\r\nOnce you have Angie Telegraf plugin running, the data end-up in your database (eg. InfluxDB). This provided dashboard allows you to see all the information that the status API can provide.\r\n\r\nIn Angie you will need to:\r\n\r\n1. Enable the status API in Angie in one of your server directive (see Angie docs)\r\n2. Add metrics to your server and/or location and/or upstream directives in Angie (see also Angie docs). \r\n\r\nStep 2 is optional, but give you specific metrics for your server on the places you do like to have additional status metrics being reported. The data will then become available on the status API and my Telegraf plugin will use Angie status API to retrieve the data.","collectorType":"Telegraf","collectorConfig":"This dashboard is using my own Telegraf plugin called \"angie_telegraf_plugin\", see project on GitHub: https://github.com/melroy89/angie_telegraf_plugin (which is not yet part of Telegraf itself).\r\n\r\nYou will need to build the project and add the it as an **external plugin** to Telegraf. See the README instructions on GitHub (see again above).\r\n\r\nExample config of Angie Telegraf Plugin:\r\n\r\n```\r\n# Read Angie API status information\r\n[[inputs.angie_api]]\r\n  ## An array of Angie API URIs to gather stats.\r\n  urls = [\"http://localhost/status\"]\r\n  # Angie API version, default: 1\r\n  # api_version = 1\r\n\r\n  # HTTP response timeout (default: 5s)\r\n  response_timeout = \"5s\"\r\n\r\n  ## Optional TLS Config\r\n  # tls_ca = \"/etc/telegraf/ca.pem\"\r\n  # tls_cert = \"/etc/telegraf/cert.pem\"\r\n  # tls_key = \"/etc/telegraf/key.pem\"\r\n  ## Use TLS but skip chain & host verification\r\n  # insecure_skip_verify = false\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-11-23T23:46:43.000Z","updatedAt":"2026-04-10T20:30:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24461"},{"rel":"revisions","href":"/dashboards/24461/revisions"},{"rel":"revision","href":"/dashboards/24461/revisions/6"},{"rel":"download","href":"/dashboards/24461/revisions/6/download"},{"rel":"org","href":"/orgs/webmaster1989"},{"rel":"images","href":"/dashboards/24461/images"},{"rel":"thumbnails","href":"/dashboards/24461/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24777,"status":1,"statusCode":"active","orgId":1656435,"orgSlug":"ctrlok","orgName":"ctrlok","slug":"anker","downloads":10,"revisionId":39735,"revision":1,"name":"Anker 767 ble","description":"A dashboard for anker 767 ble web server","readme":"Please install ctrlok/anker_767_ble first and then collect metrics using prometheus in your 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also","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-07-08T14:38:17.000Z","updatedAt":"2020-07-08T14:40:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12609"},{"rel":"revisions","href":"/dashboards/12609/revisions"},{"rel":"revision","href":"/dashboards/12609/revisions/1"},{"rel":"download","href":"/dashboards/12609/revisions/1/download"},{"rel":"org","href":"/orgs/pulselinedev"},{"rel":"images","href":"/dashboards/12609/images"},{"rel":"thumbnails","href":"/dashboards/12609/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12709,"status":1,"statusCode":"active","orgId":208026,"orgSlug":"mesaguy","orgName":"mesaguy","slug":"ansible-collection-overview","downloads":326,"revisionId":18277,"revision":1,"name":"Ansible Galaxy collection overview","description":"High level overview of an Ansible Galaxy collection's 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A sample demonstration project using this dashboard is also available for [download](http://orpiske.net/files/grafana/wien.tar.bz2). \r\n\r\nIf you have questions, feel free to send me a message on [Twitter](https://twitter.com/otavio021).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-11-18T14:23:59.000Z","updatedAt":"2018-11-18T14:49:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9087"},{"rel":"revisions","href":"/dashboards/9087/revisions"},{"rel":"revision","href":"/dashboards/9087/revisions/1"},{"rel":"download","href":"/dashboards/9087/revisions/1/download"},{"rel":"org","href":"/orgs/otavio021"},{"rel":"images","href":"/dashboards/9087/images"},{"rel":"thumbnails","href":"/dashboards/9087/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16764,"status":1,"statusCode":"active","orgId":399156,"orgSlug":"alainpham","orgName":"alainpham","slug":"apache-camel-context-view","downloads":6123,"revisionId":29269,"revision":4,"name":"Apache Camel - Context view","description":"","readme":"# Apache Camel 3 & 4 - Statistics on Camel Context level\r\n\r\nPerformance oriented monitoring on Apache Camel 3 & 4 deployments. Works ideally on Kubernetes deployments. Based on Prometheus datasource scraping metrics coming from the micrometer framework. Focuses on analyzing Camel Context, Route & Processor execution times and throughput.\r\n\r\nMin required versions : \r\n- Apache Camel 3.21+\r\n- Apache Camel 4.0.0-M3+\r\n\r\n## Mixin install commands\r\n```\r\njb init\r\n\r\njb install https://github.com/alainpham/app-archetypes/camel-monitoring/camel-dashboards/\r\n\r\n```\r\n\r\n## Application instrumentation\r\n\r\nMicrometer is supported on Spring Boot, Quarkus and Camel K flavors.\r\nSee the project archetypes quarkus-camel and spring-boot-camel here to have ready to use instrumented Apache Camel projects.\r\n\r\n[https://github.com/alainpham/app-archetypes](https://github.com/alainpham/app-archetypes)\r\n\r\n\r\nIf you don't want to use the archetype, the instrumentation of the application is as simple very simple like described in the following paragraphs.\r\n\r\n### For Quarkus\r\n\r\n#### pom.xml\r\n\r\n```xml\r\n<dependency>\r\n    <groupId>io.micrometer</groupId>\r\n    <artifactId>micrometer-registry-prometheus</artifactId>\r\n</dependency>\r\n<dependency>\r\n    <groupId>org.apache.camel.quarkus</groupId>\r\n    <artifactId>camel-quarkus-micrometer</artifactId>\r\n</dependency>\r\n```\r\n\r\n#### application.properties\r\n\r\n```\r\nquarkus.camel.metrics.enable-message-history=true\r\n```\r\n### For Spring Boot\r\n\r\n#### pom.xml\r\n```xml\r\n<dependency>\r\n    <groupId>io.micrometer</groupId>\r\n    <artifactId>micrometer-registry-prometheus</artifactId>\r\n    </dependency>\r\n<dependency>\r\n    <groupId>org.apache.camel.springboot</groupId>\r\n    <artifactId>camel-micrometer-starter</artifactId>\r\n</dependency>\r\n```\r\n\r\n#### Configuration class\r\n\r\nCreate a configuration class in your spring boot project.\r\n\r\n```java\r\nimport org.apache.camel.builder.RouteBuilder;\r\nimport org.apache.camel.component.micrometer.eventnotifier.MicrometerExchangeEventNotifier;\r\nimport org.apache.camel.component.micrometer.eventnotifier.MicrometerRouteEventNotifier;\r\nimport org.apache.camel.component.micrometer.messagehistory.MicrometerMessageHistoryFactory;\r\nimport org.apache.camel.component.micrometer.routepolicy.MicrometerRoutePolicyFactory;\r\nimport org.springframework.stereotype.Component;\r\n\r\n@Component\r\npublic class Configurator extends RouteBuilder {\r\n\t@Override\r\n\tpublic void configure() throws Exception {\r\n\t\tgetContext().addRoutePolicyFactory(new MicrometerRoutePolicyFactory());\r\n\t\tgetContext().setMessageHistoryFactory(new MicrometerMessageHistoryFactory());\r\n\t\tgetCamelContext().getManagementStrategy().addEventNotifier(new MicrometerExchangeEventNotifier());\r\n\t\tgetCamelContext().getManagementStrategy().addEventNotifier(new MicrometerRouteEventNotifier());\r\n\t}\r\n}\r\n```\r\n\r\n## Prometheus scraping\r\n\r\n\r\nDashboard is designed for metrics scraped from kubernetes deployment\r\n\r\nThis is the scrape config to be used as an example\r\n\r\n```yaml\r\n# inspired by the prometheus kubernetes helm chart\r\nglobal:\r\n  scrape_interval: 15s\r\n  external_labels:\r\n    cluster: cloud\r\nscrape_configs:\r\n  - job_name: integrations/kubernetes/applications\r\n    bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token\r\n    honor_labels: true\r\n    kubernetes_sd_configs:\r\n      - role: pod\r\n        namespaces:\r\n          own_namespace: true\r\n    relabel_configs:\r\n      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape]\r\n        action: keep\r\n        regex: true\r\n      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape_slow]\r\n        action: drop\r\n        regex: true\r\n      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scheme]\r\n        action: replace\r\n        regex: (https?)\r\n        target_label: __scheme__\r\n      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_path]\r\n        action: replace\r\n        target_label: __metrics_path__\r\n        regex: (.+)\r\n      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_port, __meta_kubernetes_pod_ip]\r\n        action: replace\r\n        regex: (\\d+);(([A-Fa-f0-9]{1,4}::?){1,7}[A-Fa-f0-9]{1,4})\r\n        replacement: '[$2]:$1'\r\n        target_label: __address__\r\n      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_port, __meta_kubernetes_pod_ip]\r\n        action: replace\r\n        regex: (\\d+);((([0-9]+?)(\\.|$)){4})\r\n        replacement: $2:$1\r\n        target_label: __address__\r\n      - action: labelmap\r\n        regex: __meta_kubernetes_pod_annotation_prometheus_io_param_(.+)\r\n        replacement: __param_$1\r\n      - action: labelmap\r\n        regex: __meta_kubernetes_pod_label_(.+)\r\n      - source_labels: [__meta_kubernetes_namespace]\r\n        action: replace\r\n        target_label: namespace\r\n      - source_labels: [__meta_kubernetes_pod_node_name]\r\n        action: replace\r\n        target_label: node\r\n      - source_labels: [__meta_kubernetes_pod_name]\r\n        action: replace\r\n        target_label: pod\r\n      - source_labels: [__meta_kubernetes_pod_phase]\r\n        regex: Pending|Succeeded|Failed|Completed\r\n        action: drop\r\n```\r\n\r\nTo scrape instances that are not deployed in kubernetes you can simulate kubernetes labels with the following prometheus configs.\r\n\r\nKubernetes specific labels that need to be simulated are\r\n * app_kubernetes_io_part_of\r\n * app_kubernetes_io_name\r\n * app_kubernetes_io_component\r\n * app_kubernetes_io_instance\r\n * app_kubernetes_io_version\r\n * cluster\r\n * node\r\n * pod\r\n * namespace\r\n\r\n```yaml\r\nglobal:\r\n  scrape_interval: 15s\r\n  evaluation_interval: 15s\r\nscrape_configs:\r\n  - job_name: \"camel-dev\"\r\n    metrics_path: /q/metrics\r\n    relabel_configs:\r\n      - target_label: app_kubernetes_io_part_of\r\n        replacement: camel-app\r\n      - target_label: app_kubernetes_io_name\r\n        replacement: camel-app\r\n      - target_label: app_kubernetes_io_component\r\n        replacement: camel-app\r\n      - target_label: app_kubernetes_io_instance\r\n        replacement: camel-app-master\r\n      - target_label: app_kubernetes_io_version\r\n        replacement: \"1.0.0\"\r\n      - target_label: cluster\r\n        replacement: cloud\r\n      - target_label: node\r\n        replacement: worker-01\r\n      - target_label: pod\r\n        replacement: camel-app-1\r\n      - target_label: namespace\r\n        replacement: camel-ns\r\n    static_configs:\r\n      - targets:\r\n          - \"localhost:8090\"\r\n```\r\n\r\n\r\n## Video tutorial material\r\n\r\nWatch a demo video here :\r\n[https://www.youtube.com/watch?v=0LDgv1nIk-Y](https://www.youtube.com/watch?v=0LDgv1nIk-Y)\r\n\r\nor here\r\n[https://odysee.com/@alainpham:8/apache-camel-monitoring-prometheus-grafana:c](https://odysee.com/@alainpham:8/apache-camel-monitoring-prometheus-grafana:c)\r\n\r\nHere is the git repo for setting up the demo : [https://github.com/alainpham/app-archetypes](https://github.com/alainpham/app-archetypes)\r\n\r\nFeel free to asks questions and send me feedback on [LinkedIn](https://www.linkedin.com/in/alainpham/)\r\nor [Twitter](https://twitter.com/alainphm)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2022-08-23T14:25:30.000Z","updatedAt":"2023-07-05T13:32:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/16764"},{"rel":"revisions","href":"/dashboards/16764/revisions"},{"rel":"revision","href":"/dashboards/16764/revisions/4"},{"rel":"download","href":"/dashboards/16764/revisions/4/download"},{"rel":"org","href":"/orgs/alainpham"},{"rel":"images","href":"/dashboards/16764/images"},{"rel":"thumbnails","href":"/dashboards/16764/thumbnails"}]},{"id":12614,"status":1,"statusCode":"active","orgId":399156,"orgSlug":"alainpham","orgName":"alainpham","slug":"camel-dashboard-context-view","downloads":6833,"revisionId":18132,"revision":1,"name":"Apache Camel - Prometheus JMX Exporter","description":"Performance oriented monitoring on Apache Camel deployments. Works ideally on Kubernetes deployments. Based on Prometheus datasource scraping JMX exporter metrics configured on Apache Camel JMX MBeans. Focuses on analyzing Camel Context, Route & Processor execution times and throughput.\r\n\r\n* update 2023-05-06 : it's now prefered to use the dashboard based on micrometer metrics. It's the most up to date and the one that will be maintained in the future.","readme":"THIS DASHBOARD USES THE OLDER JMX EXPORTER INSTRUMENTATION AVAILABLE FOR CAMEL 2. FOR BETTER SUPPORT SEE THIS NEWER VERSION OF THE DASHBOARD ID 16764.\r\n\r\n\r\nWatch a demo video here : \r\n[https://www.youtube.com/watch?v=0LDgv1nIk-Y](https://www.youtube.com/watch?v=0LDgv1nIk-Y)\r\n\r\nor here\r\n[https://odysee.com/@alainpham:8/apache-camel-monitoring-prometheus-grafana:c](https://odysee.com/@alainpham:8/apache-camel-monitoring-prometheus-grafana:c)\r\n\r\nHere is the git repo for setting up the demo : [https://github.com/alainpham/app-archetypes](https://github.com/alainpham/app-archetypes)\r\n\r\nFeel free to asks questions and send me feedback on [LinkedIn](https://www.linkedin.com/in/alainpham/)\r\nor [Twitter](https://twitter.com/alainphm)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-07-09T08:38:50.000Z","updatedAt":"2023-05-06T13:52:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12614"},{"rel":"revisions","href":"/dashboards/12614/revisions"},{"rel":"revision","href":"/dashboards/12614/revisions/1"},{"rel":"download","href":"/dashboards/12614/revisions/1/download"},{"rel":"org","href":"/orgs/alainpham"},{"rel":"images","href":"/dashboards/12614/images"},{"rel":"thumbnails","href":"/dashboards/12614/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16354,"status":1,"statusCode":"active","orgId":655573,"orgSlug":"eljah","orgName":"eljah","slug":"data-integration-check","downloads":5732,"revisionId":24925,"revision":2,"name":"Apache Camel Data metrics","description":"Metrics that are produced by Apache Camel 1) out of the box per each route 2) manually added to meter the critical parts of the Camel routes","readme":"Example of manually set up metrics set up for the Camel route:\r\n\r\n   <to uri=\"micrometer:timer:camel.cache?action=start\" /> \r\n   <to uri=\"cache://ourCacheExample?maxElementsInMemory=10&amp;eternal=true\" /> \r\n    <to uri=\"micrometer:timer:camel.cache?action=stop\" /> \r\n\r\nEnable routes' out of box metrics with \r\n\r\n  <dependency>\r\n              <groupId>io.micrometer</groupId>\r\n              <artifactId>micrometer-registry-prometheus</artifactId>\r\n              <version>1.1.6</version>\r\n          </dependency>\r\n          <dependency>\r\n              <groupId>org.springframework.boot</groupId>\r\n              <artifactId>spring-boot-starter-actuator</artifactId>\r\n              <version>${spring-boot.version}</version>\r\n          </dependency>\r\n          <dependency>\r\n              <groupId>org.apache.camel</groupId>\r\n              <artifactId>camel-micrometer-starter</artifactId>\r\n          </dependency>\r\n          <dependency>\r\n              <groupId>org.apache.camel</groupId>\r\n              <artifactId>camel-micrometer</artifactId>\r\n              <version>${camel.version}</version>\r\n          </dependency>\r\n\r\n  @Configuration\r\n  public class MetricsConfig {\r\n\r\n    @Bean\r\n    public CamelContextConfiguration camelContextConfiguration() {\r\n\r\n        return new CamelContextConfiguration() {\r\n            @Override\r\n            public void beforeApplicationStart(CamelContext camelContext) {\r\n                camelContext.addRoutePolicyFactory(new MicrometerRoutePolicyFactory());\r\n                camelContext.setMessageHistoryFactory(new MicrometerMessageHistoryFactory());\r\n\r\n            }\r\n\r\n            @Override\r\n            public void afterApplicationStart(CamelContext camelContext) {\r\n            }\r\n        };\r\n    }\r\n  }","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-05-31T21:29:55.000Z","updatedAt":"2022-05-31T21:49:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16354"},{"rel":"revisions","href":"/dashboards/16354/revisions"},{"rel":"revision","href":"/dashboards/16354/revisions/2"},{"rel":"download","href":"/dashboards/16354/revisions/2/download"},{"rel":"org","href":"/orgs/eljah"},{"rel":"images","href":"/dashboards/16354/images"},{"rel":"thumbnails","href":"/dashboards/16354/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14911,"status":1,"statusCode":"active","orgId":533940,"orgSlug":"seemscloud","orgName":"seems.cloud","slug":"flink","downloads":317263,"revisionId":22223,"revision":1,"name":"Apache Flink (2021) Dashboard for Job / Task Manager","description":"Dashboard for Job Manager and Task Manager, prepared for versions: 1.12.X, 1.13.X","readme":"# Apache Flink\n\n## Dashboard for: \n - Job Manager\n - Task Manager\n\n## Prepared for versions:\n - 1.12.X\n - 1.13.X\n\n## Proof of Concept\n[https://github.com/seemscloud/docker-apache-flink](https://github.com/seemscloud/docker-apache-flink)\n```\nglobal:\n  scrape_interval: 10s\n  evaluation_interval: 10s\n\nscrape_configs:\n  - job_name: \"flink-task-manager\"\n    dns_sd_configs:\n      - names:\n          - 'flink-tm'\n        refresh_interval: 10s\n        type: 'A'\n        port: 9260\n    metrics_path: /\n  - job_name: \"flink-job-manger\"\n    static_configs:\n      - targets: [ \"flink-jm:9260\" ]\n    metrics_path: /\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-23T20:52:58.000Z","updatedAt":"2021-09-14T19:02:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14911"},{"rel":"revisions","href":"/dashboards/14911/revisions"},{"rel":"revision","href":"/dashboards/14911/revisions/1"},{"rel":"download","href":"/dashboards/14911/revisions/1/download"},{"rel":"org","href":"/orgs/seemscloud"},{"rel":"images","href":"/dashboards/14911/images"},{"rel":"thumbnails","href":"/dashboards/14911/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20465,"status":1,"statusCode":"active","orgId":683761,"orgSlug":"proclane","orgName":"proclane","slug":"apache-http-server","downloads":633,"revisionId":31619,"revision":1,"name":"Apache HTTP server","description":"Apache HTTP 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with InfluxDB and Grafana.\r\nGet overall summary, errors details and particular transaction response times.","readme":"This dashboard requires Apache JMeter 5 and upper versions.\r\nIt shows overall statistics and you can zoom on one particular transaction.\r\nIn order to use it you need to use JMeter Backend Listener and select InfluxdbBackendListenerClient.\r\n\r\n**Setup:**\r\n- Add Backend Listener to your test plan (Add -> Listener -> Backend Listener)  and select org.apache.jmeter.visualizers.backend.influxdb.HttpMetricsSender\r\n- Provide in the Parameters table the InfluxDB settings, provide a name for the test, and specify which samplers to record.\r\n\r\n\r\n**For more details, see this :**\r\n- https://jmeter.apache.org/usermanual/component_reference.html#Backend_Listener\r\n- https://jmeter.apache.org/usermanual/realtime-results.html\r\n\r\nEnjoy !\r\nUbikLoadPack Team","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-04-10T14:21:00.000Z","updatedAt":"2018-09-18T14:20:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":7,"reviewsAvgRating":3.29,"links":[{"rel":"self","href":"/dashboards/5496"},{"rel":"revisions","href":"/dashboards/5496/revisions"},{"rel":"revision","href":"/dashboards/5496/revisions/1"},{"rel":"download","href":"/dashboards/5496/revisions/1/download"},{"rel":"org","href":"/orgs/pmouawad"},{"rel":"images","href":"/dashboards/5496/images"},{"rel":"thumbnails","href":"/dashboards/5496/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9939,"status":1,"statusCode":"active","orgId":240720,"orgSlug":"nutkung101","orgName":"nutkung101","slug":"apache-jmeter-dashboard-using-core-influxdbbackendlistenerclient","downloads":1659,"revisionId":13866,"revision":1,"name":"Apache JMeter Dashboard using Core 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Technologies","description":"Monitor your Apache JMeter load test in real time with InfluxDB and Grafana. Get overall summary, error details and particular transaction response times. A dashboard by Speckyfox Technologies","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-10-26T06:20:56.000Z","updatedAt":"2023-10-26T06:44:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19857"},{"rel":"revisions","href":"/dashboards/19857/revisions"},{"rel":"revision","href":"/dashboards/19857/revisions/1"},{"rel":"download","href":"/dashboards/19857/revisions/1/download"},{"rel":"org","href":"/orgs/speckyfoxtechnologies"},{"rel":"images","href":"/dashboards/19857/images"},{"rel":"thumbnails","href":"/dashboards/19857/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17510,"status":1,"statusCode":"active","orgId":752339,"orgSlug":"mhdbashard","orgName":"mhdbashard","slug":"jmeter-dash","downloads":684,"revisionId":26888,"revision":1,"name":"Apache Jmeter with influxDB Dashboard","description":"Cloned Dashboard from official influxDB and noted the query type is flux, not fluxQl.","readme":"The Dashboard provides metrics about (User count, OK request count, KO request count, Number of hits, Avg response time, Max response time, Min response time, 99 and 95 percentile for successful request, Recived Bytes, Sent Bytes) its cloned from official influxDB to monitor Apache Jmeter metrics.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-11-29T12:34:13.000Z","updatedAt":"2022-11-29T12:59:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17510"},{"rel":"revisions","href":"/dashboards/17510/revisions"},{"rel":"revision","href":"/dashboards/17510/revisions/1"},{"rel":"download","href":"/dashboards/17510/revisions/1/download"},{"rel":"org","href":"/orgs/mhdbashard"},{"rel":"images","href":"/dashboards/17510/images"},{"rel":"thumbnails","href":"/dashboards/17510/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":968,"status":1,"statusCode":"active","orgId":31490,"orgSlug":"nicolaszc","orgName":"Nicolas Zachow","slug":"apache-logs","downloads":3065,"revisionId":1412,"revision":1,"name":"Apache Logs","description":"Visualize apache logs.","readme":"Dashboard for easy visualization of apache logs, including some filters and basic stats.","collectorType":"Telegraf","collectorConfig":"\r\n\r\n    [[inputs.logparser]]\r\n\r\n        files = [\"/var/log/httpd/access_log\"]\r\n        from_beginning = false\r\n\r\n        [inputs.logparser.grok]\r\n            patterns = [\"%{COMBINED_LOG_FORMAT}\"]\r\n            measurement = \"apache_access_log\"\r\n","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2016-11-28T17:50:17.000Z","updatedAt":"2016-11-28T18:05:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/968"},{"rel":"revisions","href":"/dashboards/968/revisions"},{"rel":"revision","href":"/dashboards/968/revisions/1"},{"rel":"download","href":"/dashboards/968/revisions/1/download"},{"rel":"org","href":"/orgs/nicolaszc"},{"rel":"images","href":"/dashboards/968/images"},{"rel":"thumbnails","href":"/dashboards/968/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9942,"status":1,"statusCode":"active","orgId":241004,"orgSlug":"mahatheer","orgName":"mahatheer","slug":"apache-logs","downloads":621,"revisionId":13872,"revision":1,"name":"Apache Logs","description":"Visualize apache 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       \r\n- pattern: 'Catalina<type=GlobalRequestProcessor, name=\\\"(\\w+-.+?)-(\\d+)\\\"><>(\\w+):'\r\n  name: tomcat_$3_total\r\n  labels:\r\n    port: \"$2\"\r\n    protocol: \"$1\"\r\n  help: Tomcat global $3\r\n  type: COUNTER\r\n\r\n- pattern: 'Catalina<type=GlobalRequestProcessor, Upgrade=([-a-zA-Z0-9+/$%~_-|!.]*), name=\\\"(\\w+-.+?)-(\\d+)\\\"><>(\\w+):'\r\n  name: tomcat_upgrade_$4_total\r\n  labels:\r\n    port: \"$2\"\r\n    protocol: \"$1\"\r\n    upgrade: \"$3\"\r\n  help: Tomcat global $4\r\n  type: COUNTER\r\n\r\n- pattern: 'Catalina<j2eeType=Servlet, WebModule=//([-a-zA-Z0-9+&@#/%?=~_|!:.,;]*[-a-zA-Z0-9+&@#/%=~_|]), name=([-a-zA-Z0-9+/$%~_-|!.]*), J2EEApplication=none, J2EEServer=none><>(requestCount|maxTime|processingTime|errorCount):'\r\n  name: tomcat_servlet_$3_total\r\n  labels:\r\n    module: \"$1\"\r\n    servlet: \"$2\"\r\n  help: Tomcat servlet $3 total\r\n  type: COUNTER\r\n\r\n- pattern: 'Catalina<type=ThreadPool, name=\"(\\w+-.+?)-(\\d+)\"><>(currentThreadCount|currentThreadsBusy|keepAliveCount|maxKeepAliveRequests|pollerThreadCount|connectionCount|maxConnections|connectionTimeout|maxThreads|minSpareThreads|acceptCount|acceptorThreadCount):'\r\n  name: tomcat_threadpool_$3\r\n  labels:\r\n    port: \"$2\"\r\n    protocol: \"$1\"\r\n  help: Tomcat threadpool $3\r\n  type: GAUGE\r\n\r\n- pattern: 'Catalina<type=Manager, host=([-a-zA-Z0-9+&@#/%?=~_|!:.,;]*[-a-zA-Z0-9+&@#/%=~_|]), context=([-a-zA-Z0-9+/$%~_-|!.]*)><>(processingTime|sessionCounter|rejectedSessions|expiredSessions):'\r\n  # (Catalina<j2eeType=Servlet, WebModule=//localhost/examples, name=stock, J2EEApplication=none, J2EEServer=none><>asyncSupported)\r\n  name: tomcat_session_$3_total\r\n  labels:\r\n    context: \"$2\"\r\n    host: \"$1\"\r\n  help: Tomcat session $3 total\r\n  type: COUNTER\r\n\r\n- pattern: 'Catalina<type=WebResourceRoot, host=([-a-zA-Z0-9+&@#/%?=~_|!:.,;]*[-a-zA-Z0-9+&@#/%=~_|]), context=([-a-zA-Z0-9+/$%~_-|!.]*), name=Cache><>(\\w+):'\r\n  name: tomcat_cache_$3\r\n  labels:\r\n    context: \"$2\"\r\n    host: \"$1\"\r\n  help: Tomcat Resource cache confirguration and performance metrics (units are kb and ms)\r\n  type: GAUGE\r\n\r\n# For everything missing... compatibility across MSAI deployments and my own dashboards.\r\n#- pattern: \"java.*\"\r\n- pattern: \"Catalina*\"\r\n```\r\n\r\nYou will then need to either change your Tomcat service to include the JMX Exporter as a Java agent, or add it to the JAVA_OPTS or CATALINA_OPTS so that the exporter with associated configuration file will be loaded with Tomcat.\r\n\r\n```BASH\r\n-javaagent:/opt/jmx_exporter/jmx_prometheus_javaagent-0.20.0.jar=9111:/opt/jmx_exporter/jmx-exporter-config-tomcat.yaml\r\n```\r\n\r\nAnd then add the relevant Prometheus scrape configuration for the above JMX Exporter configuration.  Consult the Prometheus documentation should you need to enhance it.\r\n\r\n```YAML\r\n  - job_name: 'jmx'\r\n\r\n    static_configs:\r\n    - targets: ['wer-twx-foundation:9111', 'wer-twx-iothubconnector:9111']\r\n```\r\n\r\nYou'll note the YAML list which allows adding multiple servers to scrape.  You can break these out across multiple lines if you wish to apply specific application or other labels as a part of the scrape.  Example:\r\n\r\n```YAML\r\n    - targets:\r\n      - simulator.japaneast.cloudapp.azure.com:9111\r\n      labels:\r\n        group: Simulators\r\n        region: Japan\r\n    - targets:\r\n      - simulator.centralus.cloudapp.azure.com:9111\r\n      labels:\r\n        group: Simulators\r\n        region: USA\r\n    - targets:\r\n      - simulator.germanywestcentral.cloudapp.azure.com:9111\r\n      labels:\r\n        group: Simulators\r\n        region: Germany\r\n    - targets:\r\n      - simulator.koreacentral.cloudapp.azure.com:9111\r\n      labels:\r\n        group: Simulators\r\n        region: Korea\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-09-11T11:40:43.000Z","updatedAt":"2025-11-04T15:47:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19532"},{"rel":"revisions","href":"/dashboards/19532/revisions"},{"rel":"revision","href":"/dashboards/19532/revisions/3"},{"rel":"download","href":"/dashboards/19532/revisions/3/download"},{"rel":"org","href":"/orgs/geva1"},{"rel":"images","href":"/dashboards/19532/images"},{"rel":"thumbnails","href":"/dashboards/19532/thumbnails"}]},{"id":2914,"status":1,"statusCode":"active","orgId":78589,"orgSlug":"sarp","orgName":"sarp","slug":"apache-traffic-server","downloads":2300,"revisionId":4018,"revision":1,"name":"Apache Traffic Server Dashboard","description":"Apache Traffic Server Monitoring Template","readme":"This is a dashboard for monitoring Apache Traffic Server metrics collected by custom exporter and stored in Prometheus TSDB.\r\n\r\nIf you have any suggestions or want to contribute, check [https://github.com/buraksarp/apache-traffic-server-exporter.git](https://github.com/buraksarp/apache-traffic-server-exporter.git)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-08-13T06:28:13.000Z","updatedAt":"2017-08-13T10:19:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2914"},{"rel":"revisions","href":"/dashboards/2914/revisions"},{"rel":"revision","href":"/dashboards/2914/revisions/1"},{"rel":"download","href":"/dashboards/2914/revisions/1/download"},{"rel":"org","href":"/orgs/sarp"},{"rel":"images","href":"/dashboards/2914/images"},{"rel":"thumbnails","href":"/dashboards/2914/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12687,"status":1,"statusCode":"active","orgId":401890,"orgSlug":"algraf","orgName":"algraf","slug":"apache-traffic-server","downloads":589,"revisionId":18238,"revision":1,"name":"Apache Traffic Server Dashboard","description":"Fixed dashboard for Apache Traffic Monitor 8.0.x and Grafana 7","readme":"Fork of Apache Traffic Server Dashboard by sarp.\r\n\r\nFixed for new Grafana and Apache Traffic Server versions.\r\n\r\nDownload data exporter for docker containers at:\r\nhttps://github.com/git-albert/apache-traffic-server-exporter","collectorType":"Other","collectorConfig":"","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-07-20T12:27:05.000Z","updatedAt":"2020-07-20T12:55:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12687"},{"rel":"revisions","href":"/dashboards/12687/revisions"},{"rel":"revision","href":"/dashboards/12687/revisions/1"},{"rel":"download","href":"/dashboards/12687/revisions/1/download"},{"rel":"org","href":"/orgs/algraf"},{"rel":"images","href":"/dashboards/12687/images"},{"rel":"thumbnails","href":"/dashboards/12687/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17571,"status":1,"statusCode":"active","orgId":363584,"orgSlug":"suse","orgName":"suse","slug":"apache2","downloads":477,"revisionId":26968,"revision":1,"name":"Apache web server","description":"Apache2 web server simple dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-12-08T15:05:12.000Z","updatedAt":"2022-12-08T15:06:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17571"},{"rel":"revisions","href":"/dashboards/17571/revisions"},{"rel":"revision","href":"/dashboards/17571/revisions/1"},{"rel":"download","href":"/dashboards/17571/revisions/1/download"},{"rel":"org","href":"/orgs/suse"},{"rel":"images","href":"/dashboards/17571/images"},{"rel":"thumbnails","href":"/dashboards/17571/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9069,"status":1,"statusCode":"active","orgId":213258,"orgSlug":"zweicoder","orgName":"zweicoder","slug":"apache","downloads":880,"revisionId":12525,"revision":1,"name":"Apache2","description":"apache 2 exporter metrics. Same as https://grafana.com/dashboards/3894 but with count fixed","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-11-17T04:28:39.000Z","updatedAt":"2018-11-17T04:29:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9069"},{"rel":"revisions","href":"/dashboards/9069/revisions"},{"rel":"revision","href":"/dashboards/9069/revisions/1"},{"rel":"download","href":"/dashboards/9069/revisions/1/download"},{"rel":"org","href":"/orgs/zweicoder"},{"rel":"images","href":"/dashboards/9069/images"},{"rel":"thumbnails","href":"/dashboards/9069/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15389,"status":1,"statusCode":"active","orgId":383613,"orgSlug":"opstreedevops","orgName":"opstreedevops","slug":"apache2","downloads":1498,"revisionId":23186,"revision":1,"name":"Apache2","description":"Apache Web Server Monitoring","readme":"## Note\r\nPlease enable the Apache Server Status, following is the configuration we are using to enable Apache Server Status\r\n```\r\nExtendedStatus on\r\n<Location /server-status>\r\n    SetHandler server-status\r\n    Order deny,allow\r\n    Deny from all\r\n    Allow from 127.0.0.1\r\n</Location>\r\n```\r\n\r\n## Telegraf Plugin Configuration\r\n```\r\n[inputs.cpu]]\r\n    percpu = true\r\n[[inputs.disk]]\r\n[[inputs.io]]\r\n[[inputs.mem]]\r\n[[inputs.net]]\r\n[[inputs.system]]\r\n[[inputs.swap]]\r\n[[inputs.netstat]]\r\n[[inputs.processes]]\r\n[[inputs.kernel]]\r\n[[inputs.diskio]]\r\n[[inputs.procstat]]\r\n    user = \"root,telegraf\"\r\n#Apache2 Metrics\r\n[[inputs.apache]]\r\n  urls = [\"http://localhost:80/server-status?auto\"]\r\n  response_timeout = \"5s\"\r\n[[inputs.tail]]\r\n  name_override = \"apache2log\"\r\n  files = [\"/var/log/apache2/access.log\"]\r\n  from_beginning = true\r\n  pipe = false\r\n  data_format = \"grok\"\r\n```\r\n\r\n## Contributor Information\r\n**kirti.nehra@opstree.com**","collectorType":"Telegraf","collectorConfig":"","collectorPluginList":"apache, tail","datasource":"Prometheus","privacy":"public","createdAt":"2021-12-14T08:25:41.000Z","updatedAt":"2022-06-03T13:01:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":2,"links":[{"rel":"self","href":"/dashboards/15389"},{"rel":"revisions","href":"/dashboards/15389/revisions"},{"rel":"revision","href":"/dashboards/15389/revisions/1"},{"rel":"download","href":"/dashboards/15389/revisions/1/download"},{"rel":"org","href":"/orgs/opstreedevops"},{"rel":"images","href":"/dashboards/15389/images"},{"rel":"thumbnails","href":"/dashboards/15389/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16874,"status":1,"statusCode":"active","orgId":705409,"orgSlug":"antie","orgName":"antie","slug":"apc-dash-pro","downloads":359,"revisionId":28573,"revision":5,"name":"APC dash pro","description":"Monitor your APC UPS statistics.","readme":"I couldn’t find a dashboard that suited my needs (for influxDB v2), so I made my own. Queries could likely be improved upon, but seem to be fine in my case.\r\nDisplays all the data available from apcupsd plugin from telegraf, after importing check and update variables.\r\n\r\n`TimeZone` = Time zone in UTC AvgKWprice = Price per KW/h InfluxBucket = Your buck where Telegraf saves data  \r\n`UpsPower` = Your UPS power rating in watts UpsName = Name of your ups in bucket, telegraf tries to find them automatically  \r\n`InfluxBucket` = Original bucket  \r\n`InfluxBucket_ds` = Downsampled bucket  \r\n`Downsample_len` = Retention time of `InfluxBucket`  \r\n  \r\nFeatures:\r\n- Dynamicly displays data from downsampled and original bucket\r\n- Finds all UPS's in bucket\r\n- Timezones, to correct for `window()` offsett\r\n- Data displayed:\r\n  - Monthly power usage (smoothed, daily) + prediction, cost\r\n  - Daily power usage (smoother, hourly) + prediction, cost\r\n  - Live power usage\r\n  - In and Out AC voltage\r\n  - Battery voltage and temperature\r\n\r\nMore info in [GitHub](https://github.com/lameslime/apc-dash-pro).  \r\nLogo is not mine, but was royalty free.","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-09-06T20:20:33.000Z","updatedAt":"2023-04-30T22:03:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16874"},{"rel":"revisions","href":"/dashboards/16874/revisions"},{"rel":"revision","href":"/dashboards/16874/revisions/5"},{"rel":"download","href":"/dashboards/16874/revisions/5/download"},{"rel":"org","href":"/orgs/antie"},{"rel":"images","href":"/dashboards/16874/images"},{"rel":"thumbnails","href":"/dashboards/16874/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14309,"status":1,"statusCode":"active","orgId":485583,"orgSlug":"tumak","orgName":"tumak","slug":"apc-pdu-7xxx","downloads":1254,"revisionId":21526,"revision":4,"name":"APC PDU 7xxx","description":"Displays monitoring data collected from APC power strips (PDU) via SNMP.","readme":"This dashboard utilizes Prometheus and the snmp_exporter to gather various statistics from APC PDU Model 7xxx.  It was created using AP7930.  This template is not compatible with 8xxx models as they use different OID's.\n\nThe snmp generator.yml and the snmp.yml file used can be found here:\n https://1drv.ms/f/s!Aoh9PyG_FKE1gYZeudlcHyVBGenFXw","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-04-26T19:58:05.000Z","updatedAt":"2021-06-04T15:41:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4.5,"links":[{"rel":"self","href":"/dashboards/14309"},{"rel":"revisions","href":"/dashboards/14309/revisions"},{"rel":"revision","href":"/dashboards/14309/revisions/4"},{"rel":"download","href":"/dashboards/14309/revisions/4/download"},{"rel":"org","href":"/orgs/tumak"},{"rel":"images","href":"/dashboards/14309/images"},{"rel":"thumbnails","href":"/dashboards/14309/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13365,"status":1,"statusCode":"active","orgId":342502,"orgSlug":"condoamanti","orgName":"condoamanti","slug":"apc-smartups-dashboard","downloads":915,"revisionId":25060,"revision":5,"name":"APC SmartUPS Dashboard","description":"Dashboard to display metrics relating to APC Smart-UPS devices","readme":"# APC-SmartUPS Dashboard\r\nGrafana dashboard configuration for UPS-SmartUPS metrics\r\n\r\n### ***Requirements:***\r\n1. Grafana 8.5.5+\r\n2. InfluxDB 1.8+\r\n3. Telegraf 1.22+\r\n4. APC Smart-UPS (SMT1500R2X180)\r\n    - Firmware UPS 08.3(ID18)+\r\n5. UPS Network Management Card 2 (AP9630)\r\n    - SNMP Enabled\r\n6. PowerNet-MIB\r\n    - [https://download.schneider-electric.com/files?p_enDocType=Firmware&p_File_Name=powernet441.mib&p_Doc_Ref=APC_POWERNETMIB_441_EN&_ga=2.1327155.308134662.1655066635-1868855171.1655066635](https://download.schneider-electric.com/files?p_enDocType=Firmware&p_File_Name=powernet441.mib&p_Doc_Ref=APC_POWERNETMIB_441_EN&_ga=2.1327155.308134662.1655066635-1868855171.1655066635)\r\n\r\n### ***Metrics Captured:***\r\n- upsBasicIdentModel\r\n- upsBasicIdentName\r\n- upsAdvIdentFirmwareRevision\r\n- upsAdvIdentDateOfManufacture\r\n- upsAdvIdentSerialNumber\r\n- upsAdvIdentSkuNumber\r\n- upsBasicBatteryTimeOnBattery\r\n- upsBasicBatteryLastReplaceDate\r\n- upsAdvBatteryCapacity\r\n- upsAdvBatteryTemperature\r\n- upsAdvBatteryRunTimeRemaining\r\n- upsAdvBatteryReplaceIndicator\r\n- upsAdvBatteryActualVoltage\r\n- upsAdvBatteryInternalSKU\r\n- upsAdvInputLineVoltage\r\n- upsAdvInputFrequency\r\n- upsAdvInputLineFailCause\r\n- upsBasicOutputStatus\r\n- upsAdvOutputVoltage\r\n- upsAdvOutputFrequency\r\n- upsAdvOutputLoad\r\n- upsAdvOutputActivePower\r\n- upsAdvOutputApparentPower\r\n- upsHighPrecOutputCurrent\r\n- upsAdvConfigLowBatteryRunTime\r\n- upsAdvTestDiagnosticSchedule\r\n- upsAdvTestDiagnosticsResults\r\n\r\n### ***Collector Output Configuration:***\r\n#### Reference the outputs.influxdb in the kubernetes deployment\r\n- [/kubernetes/deployment.yml](https://github.com/Condoamanti/grafana/blob/master/dashboard/apc-smartups/kubernetes/deployment.yaml)\r\n```\r\n  [[outputs.influxdb]]\r\n      urls = [\"my-influxdb.example.com:8086\"]\r\n      database = \"apc-smartups\"\r\n      insecure_skip_verify = true\r\n      #ssl_ca = \"/usr/local/etc/telegraf.ca\"\r\n```\r\n### ***Collector Input Configuration:***\r\n#### reference inputs.snmp in the kubernetes deployment\r\n- [/kubernetes/deployment.yml](https://github.com/Condoamanti/grafana/blob/master/dashboard/apc-smartups/kubernetes/deployment.yaml)\r\n```\r\n  [[inputs.snmp]]\r\n    # List of agents to poll\r\n    agents = [\"my-apc-smartups.example.com\"]\r\n    # Polling interval\r\n    interval = \"60s\"\r\n    # Timeout for each SNMP query.\r\n    timeout = \"10s\"\r\n    # Number of retries to attempt within timeout.\r\n    retries = 3\r\n    # SNMP version\r\n    version = 2\r\n    # SNMP community string.\r\n    community = \"public\"\r\n    # Measurement name\r\n    name = \"snmp.UPS\"\r\n```\r\n### ***GitHub Repository:***\r\n- [https://github.com/Condoamanti/grafana/tree/master/dashboard/apc-smartups](https://github.com/Condoamanti/grafana/tree/master/dashboard/apc-smartups)","collectorType":"Telegraf","collectorConfig":"","collectorPluginList":"snmp, influxdb","datasource":"InfluxDB","privacy":"public","createdAt":"2020-11-09T05:29:12.000Z","updatedAt":"2022-06-12T22:17:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/13365"},{"rel":"revisions","href":"/dashboards/13365/revisions"},{"rel":"revision","href":"/dashboards/13365/revisions/5"},{"rel":"download","href":"/dashboards/13365/revisions/5/download"},{"rel":"org","href":"/orgs/condoamanti"},{"rel":"images","href":"/dashboards/13365/images"},{"rel":"thumbnails","href":"/dashboards/13365/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21635,"status":1,"statusCode":"active","orgId":1185928,"orgSlug":"kohlerryan","orgName":"kohlerryan","slug":"apc-smartups-dashboard","downloads":346,"revisionId":33956,"revision":3,"name":"APC SmartUPS Dashboard","description":"Dashboard to display metrics relating to APC Smart-UPS devices.","readme":"Requirements: APC NMC 2 or 3, Grafana 11.1.3+, InfluxDB 2.7.8+, and Telegraf 1.31.2+.\r\n\r\n1. Map local directory to Telegraf container that will store MIB files needed for config:\r\n`- ./local/path:/usr/share/snmp/mibs/iana:ro`\r\n2. Add to that directory these MIB files: PowerNet-MIB and RFC1213-MIB.  You can download the latest PowerNet-MIB from APC's website.  After downloading it, just update the name and change the extension to `.txt` and then add it to your directory.  RFC1213-MIB can be downloaded from [net-snmp](https://github.com/net-snmp/net-snmp).\r\n3. Restart Telegraf and it should start populating your InfluxDB with the data needed for the Dashboard.","collectorType":"Telegraf","collectorConfig":"Add this `[[inputs.snmp]]` to your Telegraf config.  Replace `agents`, `sec_name`, `auth_password`, and `priv_password` with your SNMPv3 settings on your APC NMC.\r\n\r\n```\r\n# snmp.UPS\r\n[[inputs.snmp]]\r\n  ## Agent addresses to retrieve values from.\r\n  ##   format:  agents = [\"<scheme://><hostname>:<port>\"]\r\n  ##   scheme:  optional, either udp, udp4, udp6, tcp, tcp4, tcp6.\r\n  ##            default is udp\r\n  ##   port:    optional\r\n  ##   example: agents = [\"udp://127.0.0.1:161\"]\r\n  ##            agents = [\"tcp://127.0.0.1:161\"]\r\n  ##            agents = [\"udp4://v4only-snmp-agent\"]\r\n  agents = [\"udp://APC UPS HOSTNAME OR IP ADDRESS:161\"]\r\n\r\n  ## Timeout for each request.\r\n  timeout = \"30s\"\r\n\r\n  ## SNMP version; can be 1, 2, or 3.\r\n  version = 3\r\n\r\n  ## Unconnected UDP socket\r\n  ## When true, SNMP responses are accepted from any address not just\r\n  ## the requested address. This can be useful when gathering from\r\n  ## redundant/failover systems.\r\n  # unconnected_udp_socket = false\r\n\r\n  ## Path to mib files\r\n  ## Used by the gosmi translator.\r\n  ## To add paths when translating with netsnmp, use the MIBDIRS environment variable\r\n  path = [\"/usr/share/snmp/mibs/iana\"]\r\n\r\n  ## SNMP community string.\r\n  # community = \"public\"\r\n\r\n  ## Agent host tag; should be set to \"source\" for consistent usage across plugins\r\n  ##   example: agent_host_tag = \"source\"\r\n  ## The default value is inconsistent with other plugins. Users will get a\r\n  ## warning that can be ignored if this is not changed. However, to have a\r\n  ## consistent experience, set this to \"source\" in your config to align with\r\n  ## other plugins.\r\n  # agent_host_tag = \"agent_host\"\r\n\r\n  ## Number of retries to attempt.\r\n  retries = 3\r\n\r\n  ## The GETBULK max-repetitions parameter.\r\n  max_repetitions = 10\r\n\r\n  ## SNMPv3 authentication and encryption options.\r\n  ##\r\n  ## Security Name.\r\n  sec_name = \"SECURITY NAME\"\r\n  ## Authentication protocol; one of \"MD5\", \"SHA\", \"SHA224\", \"SHA256\", \"SHA384\", \"SHA512\" or \"\".\r\n  auth_protocol = \"MD5\"\r\n  ## Authentication password.\r\n  auth_password = \"AUTHENTICATION PASSWORD\"\r\n  ## Security Level; one of \"noAuthNoPriv\", \"authNoPriv\", or \"authPriv\".\r\n  sec_level = \"authPriv\"\r\n  ## Context Name.\r\n  # context_name = \"\"\r\n  ## Privacy protocol used for encrypted messages; one of \"DES\", \"AES\", \"AES192\", \"AES192C\", \"AES256\", \"AES256C\", or \"\".\r\n  ### Protocols \"AES192\", \"AES192\", \"AES256\", and \"AES256C\" require the underlying net-snmp tools\r\n  ### to be compiled with --enable-blumenthal-aes (http://www.net-snmp.org/docs/INSTALL.html)\r\n  priv_protocol = \"DES\"\r\n  ## Privacy password used for encrypted messages.\r\n  priv_password = \"PRIVACY PASSWORD\"\r\n\r\n  name = \"snmp.UPS\"\r\n\r\n  ## Add fields and tables defining the variables you wish to collect.  This\r\n  ## example collects the system uptime and interface variables.  Reference the\r\n  ## full plugin documentation for configuration details.\r\n  ## System Details\r\n  #  System name (hostname)\r\n  [[inputs.snmp.field]]\r\n    is_tag = true\r\n    name = \"sysName\"\r\n    oid = \"RFC1213-MIB::sysName.0\"\r\n  #  System vendor OID\r\n  [[inputs.snmp.field]]\r\n    name = \"sysObjectID\"\r\n    oid = \"RFC1213-MIB::sysObjectID.0\"\r\n  #  System description\r\n  [[inputs.snmp.field]]\r\n    name = \"sysDescr\"\r\n    oid = \"RFC1213-MIB::sysDescr.0\"\r\n  #  System contact\r\n  [[inputs.snmp.field]]\r\n    name = \"sysContact\"\r\n    oid = \"RFC1213-MIB::sysContact.0\"\r\n  #  System location\r\n  [[inputs.snmp.field]]\r\n    name = \"sysLocation\"\r\n    oid = \"RFC1213-MIB::sysLocation.0\"\r\n  #  System uptime\r\n  [[inputs.snmp.field]]\r\n    name = \"sysUpTime\"\r\n    oid = \"RFC1213-MIB::sysUpTime.0\"\r\n  ## PowerNet-MIB Metrics\r\n  # The UPS model name (e.g. 'APC Smart-UPS 600'). \r\n  [[inputs.snmp.field]]\r\n    name = \"upsBasicIdentModel\"\r\n    oid = \"PowerNet-MIB::upsBasicIdentModel.0\"\r\n  # An 8 byte ID string identifying the UPS. This object can be set by the administrator. \r\n  [[inputs.snmp.field]]\r\n    name = \"upsBasicIdentName\"\r\n    oid = \"PowerNet-MIB::upsBasicIdentName.0\"\r\n  # The firmware revision of the UPS system's microprocessor.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvIdentFirmwareRevision\"\r\n    oid = \"PowerNet-MIB::upsAdvIdentFirmwareRevision.0\"\r\n  # The date when the UPS was manufactured in mm/dd/yy format.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvIdentDateOfManufacture\"\r\n    oid = \"PowerNet-MIB::upsAdvIdentDateOfManufacture.0\"\r\n  # An 8-character string identifying the serial number of the UPS internal microprocessor. This number is set at the factory.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvIdentSerialNumber\"\r\n    oid = \"PowerNet-MIB::upsAdvIdentSerialNumber.0\"\r\n  # The SKU number of a UPS system.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvIdentSkuNumber\"\r\n    oid = \"PowerNet-MIB::upsAdvIdentSkuNumber.0\"\r\n  # The status of the UPS batteries.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsBasicBatteryStatus\"\r\n    oid = \"PowerNet-MIB::upsBasicBatteryStatus.0\"\r\n  #The elapsed time since the UPS has switched to battery power.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsBasicBatteryTimeOnBattery\"\r\n    oid = \"PowerNet-MIB::upsBasicBatteryTimeOnBattery.0\"\r\n  # The date when the UPS system's batteries were last replaced in mm/dd/yy format.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsBasicBatteryLastReplaceDate\"\r\n    oid = \"PowerNet-MIB::upsBasicBatteryLastReplaceDate.0\"\r\n  #The remaining battery capacity expressed in percent of full capacity.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvBatteryCapacity\"\r\n    oid = \"PowerNet-MIB::upsAdvBatteryCapacity.0\"\r\n  # The current internal UPS temperature expressed in Celsius.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvBatteryTemperature\"\r\n    oid = \"PowerNet-MIB::upsAdvBatteryTemperature.0\"\r\n  # The UPS battery run time remaining before battery exhaustion.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvBatteryRunTimeRemaining\"\r\n    oid = \"PowerNet-MIB::upsAdvBatteryRunTimeRemaining.0\"\r\n  # Indicates whether the UPS batteries need replacing.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvBatteryReplaceIndicator\"\r\n    oid = \"PowerNet-MIB::upsAdvBatteryReplaceIndicator.0\"\r\n  # The actual battery bus voltage in Volts.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvBatteryActualVoltage\"\r\n    oid = \"PowerNet-MIB::upsAdvBatteryActualVoltage.0\"\r\n  # The SKU of the internal battery.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvBatteryInternalSKU\"\r\n    oid = \"PowerNet-MIB::upsAdvBatteryInternalSKU.0\"\r\n  # The current utility line voltage in VAC\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvInputLineVoltage\"\r\n    oid = \"PowerNet-MIB::upsAdvInputLineVoltage.0\"\r\n  # The current input frequency to the UPS system in Hz.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvInputFrequency\"\r\n    oid = \"PowerNet-MIB::upsAdvInputFrequency.0\"\r\n  # The reason for the occurrence of the last transfer to UPS battery power.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvInputLineFailCause\"\r\n    oid = \"PowerNet-MIB::upsAdvInputLineFailCause.0\"\r\n  # The current state of the UPS.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsBasicOutputStatus\"\r\n    oid = \"PowerNet-MIB::upsBasicOutputStatus.0\"\r\n  # The output voltage of the UPS system in VAC.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvOutputVoltage\"\r\n    oid = \"PowerNet-MIB::upsAdvOutputVoltage.0\"\r\n  # The current output frequency of the UPS system in Hz.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvOutputFrequency\"\r\n    oid = \"PowerNet-MIB::upsAdvOutputFrequency.0\"\r\n  # The current UPS load expressed in percent of rated capacity.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvOutputLoad\"\r\n    oid = \"PowerNet-MIB::upsAdvOutputLoad.0\"\r\n  # The total output active power of the UPS system in W.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvOutputActivePower\"\r\n    oid = \"PowerNet-MIB::upsAdvOutputActivePower.0\"\r\n  # The total output apparent power of all phases of the UPS system in VA.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvOutputApparentPower\"\r\n    oid = \"PowerNet-MIB::upsAdvOutputApparentPower.0\"\r\n  # The current in tenths of amperes drawn by the load on the UPS.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsHighPrecOutputCurrent\"\r\n    oid = \"PowerNet-MIB::upsHighPrecOutputCurrent.0\"\r\n  # The desired run time of the UPS, in seconds, once the low battery condition is reached.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvConfigLowBatteryRunTime\"\r\n    oid = \"PowerNet-MIB::upsAdvConfigLowBatteryRunTime.0\"\r\n  # The UPS system's automatic battery test schedule.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvTestDiagnosticSchedule\"\r\n    oid = \"PowerNet-MIB::upsAdvTestDiagnosticSchedule.0\"\r\n  # The results of the last UPS diagnostics test performed.\r\n  [[inputs.snmp.field]]\r\n    name = \"upsAdvTestDiagnosticsResults\"\r\n    oid = \"PowerNet-MIB::upsAdvTestDiagnosticsResults.0\"\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-08-03T18:47:19.000Z","updatedAt":"2024-08-15T10:51:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21635"},{"rel":"revisions","href":"/dashboards/21635/revisions"},{"rel":"revision","href":"/dashboards/21635/revisions/3"},{"rel":"download","href":"/dashboards/21635/revisions/3/download"},{"rel":"org","href":"/orgs/kohlerryan"},{"rel":"images","href":"/dashboards/21635/images"},{"rel":"thumbnails","href":"/dashboards/21635/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15728,"status":1,"statusCode":"active","orgId":355487,"orgSlug":"kirbah","orgName":"kirbah","slug":"apc-sua1500i","downloads":288,"revisionId":23766,"revision":1,"name":"APC SUA1500I for XigmaNAS","description":"Smart-UPS APC SUA1500I created for XigmaNAS","readme":"It is required to create extra script to retrieve the UPS data /mnt/pool/ext/extensions/telegraf/custom_scripts/upsc_status\r\n\r\n\t#!/bin/sh\r\n\t#\r\n\r\n\t# Set environment.\r\n\tPATH=/sbin:/bin:/usr/sbin:/usr/bin:/usr/local/sbin:/usr/local/bin\r\n\r\n\t# UPS device name\r\n\tUPS_DEVNAME=\"apc1500\"\r\n\r\n\tUPS_DEVNAME_LIST=$(upsc -l)\r\n\tif [ \"${UPS_DEVNAME_LIST}\" = \"${UPS_DEVNAME}\" ]; then\r\n\t\t\tUPS_BATTERY_CHARGE=$(upsc ${UPS_DEVNAME} battery.charge)\r\n\t\t\tUPS_BATTERY_RUNTIME=$(upsc ${UPS_DEVNAME} battery.runtime)\r\n\t\t\tUPS_BATTERY_TEMPERATURE=$(upsc ${UPS_DEVNAME} battery.temperature)\r\n\t\t\tUPS_BATTERY_VOLTAGE=$(upsc ${UPS_DEVNAME} battery.voltage)\r\n\r\n\t\t\tUPS_INPUT_VOLTAGE=$(upsc ${UPS_DEVNAME} input.voltage)\r\n\t\t\tUPS_OUTPUT_VOLTAGE=$(upsc ${UPS_DEVNAME} output.voltage)\r\n\r\n\t\t\tUPS_MODEL=$(upsc ${UPS_DEVNAME} ups.model)\r\n\t\t\tUPS_LOAD=$(upsc ${UPS_DEVNAME} ups.load)\r\n\r\n\t\t\tUPS_STATUS=$(upsc ${UPS_DEVNAME} ups.status)\r\n\t#       if [ \"${UPS_STATUS}\" = \"OL\" ]; then\r\n\t#               # UPS is on ac power.\r\n\t#               UPS_STATUS=\"AC power\"\r\n\t#       elif [ \"${UPS_STATUS}\" = \"OL CHRG\" ]; then\r\n\t#               # UPS is on ac/charging.\r\n\t#               UPS_STATUS=\"AC power/charging\"\r\n\t#       elif [ \"${UPS_STATUS}\" = \"OB DISCHRG\" ]; then\r\n\t#               # UPS is on battery power.\r\n\t#               UPS_STATUS=\"On battery\"\r\n\t#       fi\r\n\r\n\t\t\tprintf \"ups_details battery.charge=${UPS_BATTERY_CHARGE},battery.runtime=${UPS_BATTERY_RUNTIME},battery.temperature=${UPS_BATTERY_TEMPERATURE},battery.voltage=${UPS_BATTERY_VOLTAGE},input.voltage=${UPS_INPUT_VOLTAGE},output.voltage=${UPS_OUTPUT_VOLTAGE},ups.model=\\\"${UPS_MODEL}\\\",ups.status=\\\"${UPS_STATUS}\\\",ups.load=${UPS_LOAD}\"\r\n\tfi\r\n","collectorType":"Telegraf","collectorConfig":"    [[inputs.exec]]\r\n        commands = [\"/mnt/pool/ext/extensions/telegraf/custom_scripts/upsc_status\"]\r\n        timeout = \"5s\"\r\n        data_format = \"influx\"\r\n","collectorPluginList":"exec","datasource":"InfluxDB","privacy":"public","createdAt":"2022-02-09T07:06:24.000Z","updatedAt":"2022-02-09T07:22:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15728"},{"rel":"revisions","href":"/dashboards/15728/revisions"},{"rel":"revision","href":"/dashboards/15728/revisions/1"},{"rel":"download","href":"/dashboards/15728/revisions/1/download"},{"rel":"org","href":"/orgs/kirbah"},{"rel":"images","href":"/dashboards/15728/images"},{"rel":"thumbnails","href":"/dashboards/15728/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13525,"status":1,"statusCode":"active","orgId":22977,"orgSlug":"cristicalin","orgName":"Cristian Calin","slug":"apc-ups","downloads":455,"revisionId":19757,"revision":1,"name":"APC UPS","description":"Displays monitoring data collected from APC uninterruptible power supplies via apcupsd_exporter.","readme":"This incarnation of the APC UPS dashboard uses the [apcupsd_exporter](https://github.com/damomurf/apcupsd-exporter) to collect metrics from smaller UPS Models.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-12-08T08:11:31.000Z","updatedAt":"2020-12-08T08:16:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13525"},{"rel":"revisions","href":"/dashboards/13525/revisions"},{"rel":"revision","href":"/dashboards/13525/revisions/1"},{"rel":"download","href":"/dashboards/13525/revisions/1/download"},{"rel":"org","href":"/orgs/cristicalin"},{"rel":"images","href":"/dashboards/13525/images"},{"rel":"thumbnails","href":"/dashboards/13525/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13749,"status":1,"statusCode":"active","orgId":452073,"orgSlug":"mskrha","orgName":"mskrha","slug":"apc-ups","downloads":484,"revisionId":20091,"revision":1,"name":"APC UPS","description":"Preview of APC UPS metrics from apcupsd.","readme":"Data is collected using Telegraf from apcupsd, which communicates with the UPS.\r\n\r\nThere is no need for any special configuration, just enable the apcupsd input in the Telegraf.\r\n\r\nTested with USB connected APC UPS categories: Back-UPS RS and Back-UPS CS.","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2021-01-19T22:43:10.000Z","updatedAt":"2021-01-19T22:48:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13749"},{"rel":"revisions","href":"/dashboards/13749/revisions"},{"rel":"revision","href":"/dashboards/13749/revisions/1"},{"rel":"download","href":"/dashboards/13749/revisions/1/download"},{"rel":"org","href":"/orgs/mskrha"},{"rel":"images","href":"/dashboards/13749/images"},{"rel":"thumbnails","href":"/dashboards/13749/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18294,"status":1,"statusCode":"active","orgId":813964,"orgSlug":"faustinoaq","orgName":"faustinoaq","slug":"apc-ups","downloads":1130,"revisionId":28080,"revision":1,"name":"APC UPS","description":"APS UPS monitoring with Prometheus and apcupsd exporter","readme":"Using docker https://hub.docker.com/r/jangrewe/apcupsd-exporter\r\n\r\n**docker-compose.yml** (to run apcupsd_exporter)\r\n\r\n```\r\nversion: '3'\r\n\r\nservices:\r\n\r\n  apcupsd:\r\n    image: jangrewe/apcupsd-exporter\r\n    restart: unless-stopped\r\n    network_mode: \"host\"\r\n```\r\n\r\n**prometheus.yml**\r\n\r\n```\r\nscrape_configs:\r\n  - job_name: \"apcupsd\"\r\n    static_configs:\r\n      - targets: [\"192.168.0.11:9162\"]\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-17T12:11:34.000Z","updatedAt":"2023-03-17T12:18:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18294"},{"rel":"revisions","href":"/dashboards/18294/revisions"},{"rel":"revision","href":"/dashboards/18294/revisions/1"},{"rel":"download","href":"/dashboards/18294/revisions/1/download"},{"rel":"org","href":"/orgs/faustinoaq"},{"rel":"images","href":"/dashboards/18294/images"},{"rel":"thumbnails","href":"/dashboards/18294/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19329,"status":1,"statusCode":"active","orgId":920479,"orgSlug":"marcuswichelmann","orgName":"marcuswichelmann","slug":"apc-ups","downloads":464,"revisionId":29637,"revision":1,"name":"APC UPS","description":"Dashboard for apcupsd_exporter","readme":"Designed for apcupsd Prometheus Exporter.\r\n\r\nhttps://github.com/mdlayher/apcupsd_exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-08-09T21:51:26.000Z","updatedAt":"2023-08-10T10:28:19.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19329"},{"rel":"revisions","href":"/dashboards/19329/revisions"},{"rel":"revision","href":"/dashboards/19329/revisions/1"},{"rel":"download","href":"/dashboards/19329/revisions/1/download"},{"rel":"org","href":"/orgs/marcuswichelmann"},{"rel":"images","href":"/dashboards/19329/images"},{"rel":"thumbnails","href":"/dashboards/19329/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15735,"status":1,"statusCode":"active","orgId":400131,"orgSlug":"nullzone","orgName":"Alberto Rodríguez Ortega","slug":"apc-ups-snmp-exporter","downloads":595,"revisionId":30464,"revision":2,"name":"APC UPS (snmp-exporter)","description":"Displays monitoring data collected from APC uninterruptible power supplies via SNMP.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-02-10T16:53:16.000Z","updatedAt":"2023-10-23T16:09:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15735"},{"rel":"revisions","href":"/dashboards/15735/revisions"},{"rel":"revision","href":"/dashboards/15735/revisions/2"},{"rel":"download","href":"/dashboards/15735/revisions/2/download"},{"rel":"org","href":"/orgs/nullzone"},{"rel":"images","href":"/dashboards/15735/images"},{"rel":"thumbnails","href":"/dashboards/15735/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12340,"status":1,"statusCode":"active","orgId":384804,"orgSlug":"nbarrientos","orgName":"nbarrientos","slug":"ups","downloads":17414,"revisionId":17642,"revision":1,"name":"APC UPS (SNMP)","description":"Displays monitoring data collected from APC uninterruptible power supplies via SNMP.","readme":"This dashboard consumes data collected by a SNMP daemon using [apcupsd-snmp](https://github.com/jirutka/apcupsd-snmp), which is made available to Prometheus by the [Prometheus SNMP exporter](https://github.com/prometheus/snmp_exporter). My data flow is UPS -> USB -> Linux box -> apcupsd -> snmpd -> Prometheus SNMP exporter -> Prometheus -> Grafana. The name of the metrics generated by the exporter typically match the [Powernet MIB](http://www.snmplink.org/cgi-bin/nd/m/Ent/A/American%20Power%20Conversion%20(APC)%20Corporation/[E.]%20American%20Power%20Conversion%20(APC)%20Corporation/PowerNet/*25v4.0.1/powernet401.mib).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-05-21T16:29:18.000Z","updatedAt":"2020-05-21T16:41:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12340"},{"rel":"revisions","href":"/dashboards/12340/revisions"},{"rel":"revision","href":"/dashboards/12340/revisions/1"},{"rel":"download","href":"/dashboards/12340/revisions/1/download"},{"rel":"org","href":"/orgs/nbarrientos"},{"rel":"images","href":"/dashboards/12340/images"},{"rel":"thumbnails","href":"/dashboards/12340/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13524,"status":1,"statusCode":"active","orgId":22977,"orgSlug":"cristicalin","orgName":"Cristian Calin","slug":"apc-ups-snmp","downloads":1162,"revisionId":19756,"revision":1,"name":"APC UPS (SNMP)","description":"Displays monitoring data collected from APC uninterruptible power supplies via SNMP.","readme":"This dashboard requires the use of the `snmp_exporter` for Prometheus.\r\n\r\nIt is based on the [APC UPS (SNMP) Dashboard](https://grafana.com/grafana/dashboards/12340) by [nbarrientos](https://grafana.com/grafana/dashboards/12340)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-12-08T08:03:50.000Z","updatedAt":"2020-12-08T08:08:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13524"},{"rel":"revisions","href":"/dashboards/13524/revisions"},{"rel":"revision","href":"/dashboards/13524/revisions/1"},{"rel":"download","href":"/dashboards/13524/revisions/1/download"},{"rel":"org","href":"/orgs/cristicalin"},{"rel":"images","href":"/dashboards/13524/images"},{"rel":"thumbnails","href":"/dashboards/13524/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10835,"status":1,"statusCode":"active","orgId":286429,"orgSlug":"anthonysomerset","orgName":"anthonysomerset","slug":"apc-ups-dashboard","downloads":1710,"revisionId":15151,"revision":1,"name":"APC UPS Dashboard","description":"Inspiration taken from \nhttps://technicalramblings.com/blog/setting-grafana-influxdb-telegraf-ups-monitoring-unraid/\n\nUpdating https://grafana.com/grafana/dashboards/7197 to work with Telegraf apcupsd integration for simpler/easier automation of retrieving APC information","readme":"* Install apcupsd and setup your UPS through your preferred mechanisms\n* Enable APCUPSD input plugin in telegraf and configure the monitoring server(s) as required\n\nTODO - allow multiple UPS selection etc","collectorType":"Telegraf","collectorConfig":"```\n[[inputs.apcupsd]]\n#   # A list of running apcupsd server to connect to.\n#   # If not provided will default to tcp://127.0.0.1:3551\n#   servers = [\"tcp://127.0.0.1:3551\"]\n#\n#   ## Timeout for dialing server.\n#   timeout = \"5s\"\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-09-09T08:26:43.000Z","updatedAt":"2019-09-09T08:31:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/10835"},{"rel":"revisions","href":"/dashboards/10835/revisions"},{"rel":"revision","href":"/dashboards/10835/revisions/1"},{"rel":"download","href":"/dashboards/10835/revisions/1/download"},{"rel":"org","href":"/orgs/anthonysomerset"},{"rel":"images","href":"/dashboards/10835/images"},{"rel":"thumbnails","href":"/dashboards/10835/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12625,"status":1,"statusCode":"active","orgId":399618,"orgSlug":"jenniferhatches","orgName":"jenniferhatches","slug":"apc-ups-dashboard","downloads":1227,"revisionId":18156,"revision":1,"name":"APC UPS Dashboard","description":"Inspiration taken from https://grafana.com/grafana/dashboards/10835 - Thank you, anthonysomerset.  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Correctly using integral function for gathering kWh consumption in both 24hr and 1M periods.","readme":"The greater focus for this dashboard over the original versions from other contributors was concerning the performance of the UPS rather than the consumption and cost analysis that they incorporated. Parts of that were retained but the detailed graphing of power (load and total apparent) and runtime were the prime focus here, to assist with predicting the failure of battery packs. This meant implementing InfluxDB 2.0 to allow for conditional calculations on the map() function for the purposes of calculating power factor for any future applications that I hadn't thought of at the time of uploading this.\n\nAs noted in the Short Description, a few additional variables have been built, one of which requires manual input, as it's not stored with the UPS. Check on the APC UPS official website for the specifications concerning the Maximum Load Output of your specific UPS model (expressed in watts). Do not confuse this with the VA (volt-amps) number contained in the model number, which is apparent power. Modify your maxwatt variable with the respective value(s) of your UPS unit(s) as taken from APC's official website, alongside their respective UPS names you have assigned to them (mine are simply called \"UPSTower\" and \"UPS Rack\").\n\nFrom what little I searched on the community forums, it doesn't appear that the calculated Power Factor (PF) figure can be rounded off to two decimal places in the representation of those values in the variable summary bar at the top of the dashboard. If you find it as annoying as I do when it's an irrational number, you can always hide the variable, as it's not actually used in any of the dashboard's panels anyway!\n\nFeel free to drop me a line in the community forum if you have any questions or can educate me on any further improvements needed.","collectorType":"Telegraf","collectorConfig":"Be sure to uncomment the APC plugin lines in telegraf.conf","collectorPluginList":"influxdb","datasource":"InfluxDB","privacy":"public","createdAt":"2021-09-15T09:43:56.000Z","updatedAt":"2021-09-19T11:01:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15010"},{"rel":"revisions","href":"/dashboards/15010/revisions"},{"rel":"revision","href":"/dashboards/15010/revisions/2"},{"rel":"download","href":"/dashboards/15010/revisions/2/download"},{"rel":"org","href":"/orgs/artstar"},{"rel":"images","href":"/dashboards/15010/images"},{"rel":"thumbnails","href":"/dashboards/15010/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":5090,"status":1,"statusCode":"active","orgId":46877,"orgSlug":"mmahacek","orgName":"mmahacek","slug":"ups-stats","downloads":1139,"revisionId":13761,"revision":4,"name":"APC UPS Stats","description":"Display stats on APC UPS units from OpenNMS data","readme":"# UPS Stats\n\nThis board provides stats for monitoring UPS units.  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See also the [manifests](docs/manifests/kubernetes/default/manifest.yaml).\r\n\r\nsee the following usage:\r\n\r\n```shell\r\nAPI testing tool\r\n\r\nUsage:\r\n  atest [command]\r\n\r\nAvailable Commands:\r\n  completion  Generate the autocompletion script for the specified shell\r\n  func        Print all the supported functions\r\n  help        Help about any command\r\n  json        Print the JSON schema of the test suites struct\r\n  run         Run the test suite\r\n  sample      Generate a sample test case YAML file\r\n  server      Run as a server mode\r\n  service     Install atest as a Linux service\r\n\r\nFlags:\r\n  -h, --help      help for atest\r\n  -v, --version   version for atest\r\n\r\nUse \"atest [command] --help\" for more information about a command.\r\n```\r\n\r\nbelow is an example of the usage, and you could see the report as well:\r\n\r\n`atest run -p sample/testsuite-gitlab.yaml --duration 1m --thread 3  --report md`\r\n\r\n| API | Average | Max | Min | Count | Error |\r\n|---|---|---|---|---|---|\r\n| GET https://gitlab.com/api/v4/projects | 1.152777167s | 2.108680194s | 814.928496ms | 99 | 0 |\r\n| GET https://gitlab.com/api/v4/projects/45088772 | 840.761064ms | 1.487285371s | 492.583066ms | 10 | 0 |\r\nconsume: 1m2.153686448s\r\n\r\n## Use in Docker\r\n\r\nUse `atest` as server mode in Docker, then you could visit the UI from `8080`:\r\n\r\n```bash\r\ndocker run --pull always -p 8080:8080 ghcr.io/linuxsuren/api-testing:master\r\n```\r\n\r\nUse `atest-collector` in Docker:\r\n\r\n```bash\r\ndocker run -p 1234:8080 -v /var/tmp:/var/tmp \\\r\n  ghcr.io/linuxsuren/api-testing atest-collector \\\r\n  --filter-path /api \\\r\n  -o /var/tmp/sample.yaml\r\n# you could find the test cases file from /var/tmp/sample\r\n# cat /var/tmp/sample\r\n```\r\n\r\n## Template\r\n\r\nThe following fields are templated with [sprig](http://masterminds.github.io/sprig/):\r\n\r\n* API\r\n* Request Body\r\n* Request Header\r\n\r\n### Functions\r\n\r\nYou could use all the common functions which comes from [sprig](http://masterminds.github.io/sprig/). 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Does not require any specific `job_name` and can handle (optional) custom `instance` labels. Add as many jobs/targets as you need in `/etc/prometheus/prometheus.yml`:\r\n\r\n```yml\r\n  - job_name: archisteamfarm\r\n    params:\r\n      password: ['MySupersecretPassword']\r\n    metrics_path: /Api/metrics\r\n    static_configs:\r\n      - targets: ['10.0.0.42:1243']\r\n        labels:\r\n          instance: 'raspberry-pi-4'\r\n```\r\n\r\nSupports monitoring plugin version `6.0.2.2` and onwards.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-14T08:03:22.000Z","updatedAt":"2024-12-25T10:04:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20888"},{"rel":"revisions","href":"/dashboards/20888/revisions"},{"rel":"revision","href":"/dashboards/20888/revisions/4"},{"rel":"download","href":"/dashboards/20888/revisions/4/download"},{"rel":"org","href":"/orgs/magicthunder"},{"rel":"images","href":"/dashboards/20888/images"},{"rel":"thumbnails","href":"/dashboards/20888/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24264,"status":1,"statusCode":"active","orgId":1566327,"orgSlug":"jam2in","orgName":"jam2in","slug":"arcus","downloads":92,"revisionId":38724,"revision":1,"name":"ARCUS","description":"Dashboard for Arcus Exporter.","readme":"Dashboard for Arcus Exporter.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus, JSON","privacy":"public","createdAt":"2025-10-21T09:27:13.000Z","updatedAt":"2025-10-30T05:11:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24264"},{"rel":"revisions","href":"/dashboards/24264/revisions"},{"rel":"revision","href":"/dashboards/24264/revisions/1"},{"rel":"download","href":"/dashboards/24264/revisions/1/download"},{"rel":"org","href":"/orgs/jam2in"},{"rel":"images","href":"/dashboards/24264/images"},{"rel":"thumbnails","href":"/dashboards/24264/thumbnails"}],"datasourceSlugs":["prometheus","simpod-json-datasource"]},{"id":14136,"status":1,"statusCode":"active","orgId":475910,"orgSlug":"argocontroller","orgName":"Simaran Verma","slug":"argo-metrics","downloads":22666,"revisionId":20742,"revision":1,"name":"ARGO Metrics","description":"This dashboard is used to monitor the metrics related to \r\n ARGO workflow controller metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-03-24T10:55:17.000Z","updatedAt":"2021-03-24T11:06:21.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14136"},{"rel":"revisions","href":"/dashboards/14136/revisions"},{"rel":"revision","href":"/dashboards/14136/revisions/1"},{"rel":"download","href":"/dashboards/14136/revisions/1/download"},{"rel":"org","href":"/orgs/argocontroller"},{"rel":"images","href":"/dashboards/14136/images"},{"rel":"thumbnails","href":"/dashboards/14136/thumbnails"}]},{"id":25112,"status":1,"statusCode":"active","orgId":299646,"orgSlug":"adinhodovic","orgName":"adinhodovic","slug":"argo-workflows-controller","downloads":70,"revisionId":40377,"revision":2,"name":"Argo Workflows / Controller","description":"Detailed controller monitoring for Argo Workflows. Tracks controller errors, Kubernetes API request patterns, work queue metrics, and worker saturation. Use this dashboard to diagnose controller performance issues, identify API server pressure, and monitor processing backlogs. The dashboards were generated using [argo-workflows-mixin](https://github.com/adinhodovic/argo-workflows-mixin). Open issues and create feature requests in the repository.","readme":"Detailed controller monitoring for Argo Workflows. Tracks controller errors, Kubernetes API request patterns, work queue metrics, and worker saturation. Use this dashboard to diagnose controller performance issues, identify API server pressure, and monitor processing backlogs. The dashboards were generated using [argo-workflows-mixin](https://github.com/adinhodovic/argo-workflows-mixin). Open issues and create feature requests in the repository.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2026-04-04T21:11:45.000Z","updatedAt":"2026-04-05T09:56:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25112"},{"rel":"revisions","href":"/dashboards/25112/revisions"},{"rel":"revision","href":"/dashboards/25112/revisions/2"},{"rel":"download","href":"/dashboards/25112/revisions/2/download"},{"rel":"org","href":"/orgs/adinhodovic"},{"rel":"images","href":"/dashboards/25112/images"},{"rel":"thumbnails","href":"/dashboards/25112/thumbnails"}]},{"id":25113,"status":1,"statusCode":"active","orgId":299646,"orgSlug":"adinhodovic","orgName":"adinhodovic","slug":"argo-workflows-overview","downloads":67,"revisionId":40378,"revision":2,"name":"Argo Workflows / Overview","description":"A comprehensive overview dashboard for monitoring Argo Workflows deployments. 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Statistics by IP","description":"This dashboard gives an overview about Arista network devices exposing metrics through its a OCPrometheus exporter.\n \n","readme":"The dashboard shows the following metrics:\n\n* Interface throughput in bits/sec\n* Interface bandwidth in percentage\n* Packet statistics for Errors and Discard\n* Statistics about the transmitted packet types for Unicast, Multicast and Broadcast\n\nReport source available in our Grafana Dashboard GitHub Repository.\n\nMade by Be Smart Be Open in collaboration with Vista Technology.\n\nSee also 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Survival Ascended dashboard for displaying Ark server metrics.","readme":"# Ark Survival Ascended Metrics Dashboard\r\n\r\nA dashboard to display metrics for Ark servers collected using ark-metrics-collector: https://github.com/TheSudoYT/ark-metrics-collector\r\n\r\n## Ark Requirements\r\n\r\nThe following arguments are required when starting Ark to display all possible metrics:\r\n\r\n`-servergamelog -servergamelogincludetribelogs -ServerRCONOutputTribeLogs`\r\n\r\n## Grafana Alloy Configuration\r\n\r\nMetrics from the local host unix system and the ark-metrics-collector /metrics endpoint are both required.\r\n\r\n- Ensure `host` is set to the fully qualified domain name (FQDN) of the host. \r\n- `__address__` is the address of the server running the ark-metrics-collector. Leave as `localhost:<port>` if alloy is running on the same host as ark-metrics-collector.\r\n- Ensure `endpoint url` is set to the address of the prometheus server.\r\n\r\n```alloy\r\nprometheus.scrape \"scrape_ark\" {\r\n  targets = [\r\n    {\"__address__\" = \"localhost:5000\", \"host\" = \"ark-scorched-earth.lab.com\"},\r\n  ]\r\n\r\n  metrics_path = \"/metrics\"\r\n\r\n  forward_to      = [prometheus.remote_write.metrics_service.receiver]\r\n  scrape_interval = \"10s\"\r\n}\r\n\r\nprometheus.scrape \"scrape_metrics\" {\r\n  targets         = prometheus.exporter.unix.local_system.targets\r\n  forward_to      = [prometheus.remote_write.metrics_service.receiver]\r\n  scrape_interval = \"10s\"\r\n}\r\n\r\nprometheus.remote_write \"metrics_service\" {\r\n    endpoint {\r\n        url = \"http://monitor.lab.com:9090/api/v1/write\"\r\n\r\n        // basic_auth {\r\n        //   username = \"admin\"\r\n        //   password = \"admin\"\r\n        // }\r\n    }\r\n}\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-10-29T15:59:53.000Z","updatedAt":"2024-10-29T16:34:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22189"},{"rel":"revisions","href":"/dashboards/22189/revisions"},{"rel":"revision","href":"/dashboards/22189/revisions/1"},{"rel":"download","href":"/dashboards/22189/revisions/1/download"},{"rel":"org","href":"/orgs/joshuatracy"},{"rel":"images","href":"/dashboards/22189/images"},{"rel":"thumbnails","href":"/dashboards/22189/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19217,"status":1,"statusCode":"active","orgId":901359,"orgSlug":"dogacel","orgName":"dogacel","slug":"armeria-endpoint-statistics","downloads":320,"revisionId":29453,"revision":1,"name":"Armeria Endpoint Statistics","description":"A dashboard to overview Endpoints by service and method in Armeria Framework using Prometheus.","readme":"This dashboard uses the default metrics exported by Armeria as described in [Collecting Metrics](http://github.com/line/armeria/issues).\r\n\r\nBy default, `MeterIdPrefixFunction.ofDefault(\"armeria.http.service\")` prefix function is assumed to be used.\r\n\r\nFor any feedback or issues, please visit [Armeria GitHub Page](http://github.com/line/armeria/issues).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-21T23:10:18.000Z","updatedAt":"2023-07-21T23:23:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19217"},{"rel":"revisions","href":"/dashboards/19217/revisions"},{"rel":"revision","href":"/dashboards/19217/revisions/1"},{"rel":"download","href":"/dashboards/19217/revisions/1/download"},{"rel":"org","href":"/orgs/dogacel"},{"rel":"images","href":"/dashboards/19217/images"},{"rel":"thumbnails","href":"/dashboards/19217/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19218,"status":1,"statusCode":"active","orgId":901359,"orgSlug":"dogacel","orgName":"dogacel","slug":"armeria-server-overview","downloads":336,"revisionId":29454,"revision":1,"name":"Armeria Server Overview","description":"Overview your Armeria server using the default metrics provided by Armeria framework using Prometheus.","readme":"This dashboard uses the default metrics exported by Armeria as described in [Collecting Metrics](http://github.com/line/armeria/issues).\r\n\r\nBy default, `MeterIdPrefixFunction.ofDefault(\"armeria.http.service\")` prefix function is assumed to be used.\r\n\r\nPlease also check [Armeria Endpoint Statistics](https://grafana.com/grafana/dashboards/19217-armeria-endpoint-statistics/) dashboard to enable navigation to endpoint statistics by clicking on endpoint names.\r\n\r\nFor any feedback or issues, please visit [Armeria GitHub Page](http://github.com/line/armeria/issues).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-21T23:24:17.000Z","updatedAt":"2023-07-21T23:33:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19218"},{"rel":"revisions","href":"/dashboards/19218/revisions"},{"rel":"revision","href":"/dashboards/19218/revisions/1"},{"rel":"download","href":"/dashboards/19218/revisions/1/download"},{"rel":"org","href":"/orgs/dogacel"},{"rel":"images","href":"/dashboards/19218/images"},{"rel":"thumbnails","href":"/dashboards/19218/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10973,"status":1,"statusCode":"active","orgId":290262,"orgSlug":"liguozhongloki","orgName":"liguozhongloki","slug":"kafka-dashboard333","downloads":1197,"revisionId":15330,"revision":1,"name":"ARMS Kafka Dashboard","description":"Base Example of an Kafka Dashboard for DC/OS 1.12","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-10-08T13:33:04.000Z","updatedAt":"2019-10-08T13:36:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/10973"},{"rel":"revisions","href":"/dashboards/10973/revisions"},{"rel":"revision","href":"/dashboards/10973/revisions/1"},{"rel":"download","href":"/dashboards/10973/revisions/1/download"},{"rel":"org","href":"/orgs/liguozhongloki"},{"rel":"images","href":"/dashboards/10973/images"},{"rel":"thumbnails","href":"/dashboards/10973/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12113,"status":1,"statusCode":"active","orgId":373890,"orgSlug":"peimanja","orgName":"peimanja","slug":"artifactory-prometheus-exporter","downloads":7121,"revisionId":17247,"revision":1,"name":"Artifactory Prometheus Exporter","description":"Dashboard for JFrog Artifactory Prometheus exporter","readme":"Dashboard for [JFrog Artifactory Prometheus exporter](https://github.com/peimanja/artifactory_exporter).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-22T06:42:57.000Z","updatedAt":"2020-04-22T07:04:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12113"},{"rel":"revisions","href":"/dashboards/12113/revisions"},{"rel":"revision","href":"/dashboards/12113/revisions/1"},{"rel":"download","href":"/dashboards/12113/revisions/1/download"},{"rel":"org","href":"/orgs/peimanja"},{"rel":"images","href":"/dashboards/12113/images"},{"rel":"thumbnails","href":"/dashboards/12113/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13729,"status":1,"statusCode":"active","orgId":456269,"orgSlug":"homeexp","orgName":"Melih Çelik","slug":"aruba-2530-switch","downloads":2169,"revisionId":20060,"revision":1,"name":"Aruba 2530 Switch","description":"Designed for Aruba 2530 Switches.Uses Generic Network Template SNMPv2","readme":"Designed for Aruba 2530 Switches.Does not include 4 sfp ports for now.And titles are Turkish because I'm lazzy a bit rn.\n\nNOTE : YOU HAVE TO EDIT VARIABLES OR ELSE IT WONT WORK!!!","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2021-01-17T17:12:21.000Z","updatedAt":"2021-01-17T17:25:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13729"},{"rel":"revisions","href":"/dashboards/13729/revisions"},{"rel":"revision","href":"/dashboards/13729/revisions/1"},{"rel":"download","href":"/dashboards/13729/revisions/1/download"},{"rel":"org","href":"/orgs/homeexp"},{"rel":"images","href":"/dashboards/13729/images"},{"rel":"thumbnails","href":"/dashboards/13729/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":4423,"status":1,"statusCode":"active","orgId":114946,"orgSlug":"barahona","orgName":"Victor Barahona","slug":"aruba-wifi-users","downloads":1615,"revisionId":5947,"revision":1,"name":"Aruba Wifi Users","description":"Steps and configuration to create a complete wifi users dashboard in GRAFANA from ARUBA wireless switches infraestructure. ","readme":"This dashboard is to be used with Aruba Wireless Switch infrastructure and provides you with historical data (1year) from your users and also with some short range (24h) graphs. Its need some specific config so Its NOT just import the dashboard and go. \r\n\r\nCheck the link below for configuration.\r\n","collectorType":"Telegraf","collectorConfig":"A detailed steps and configuration can be found in https://github.com/vbarahona/wifiarubausers2grafana","collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2018-01-21T17:49:16.000Z","updatedAt":"2018-01-21T18:05:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/4423"},{"rel":"revisions","href":"/dashboards/4423/revisions"},{"rel":"revision","href":"/dashboards/4423/revisions/1"},{"rel":"download","href":"/dashboards/4423/revisions/1/download"},{"rel":"org","href":"/orgs/barahona"},{"rel":"images","href":"/dashboards/4423/images"},{"rel":"thumbnails","href":"/dashboards/4423/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20105,"status":1,"statusCode":"active","orgId":271416,"orgSlug":"hatamiarash7","orgName":"hatamiarash7","slug":"arvancloud-cdn","downloads":335,"revisionId":30901,"revision":1,"name":"ArvanCloud CDN","description":"ArvanCloud CDN Dashboard","readme":"# ArvanCloud Prometheus exporter\r\n\r\n<img src=\".gitlab/prom.png\" width=\"100px\"><br>\r\n\r\nIt's a Prometheus exporter that exposes metrics from ArvanCloud products. Currently, it supports the following products:\r\n\r\n- [x] CDN\r\n- [x] Object Storage\r\n- [ ] PaaS/CaaS (coming soon)\r\n- [ ] IaaS (coming soon)\r\n\r\n## How-to\r\n\r\nYou can run the exporter using Docker:\r\n\r\n```bash\r\ncp config/config.test.yml config/config.yml\r\ndocker run -d \\\r\n    -p 9786:9786 \\\r\n    -v ./config/config.yml:/app/config.yml \\\r\n    r1cloud/exporter:v1.1.0\r\n```\r\n\r\n## Configuration\r\n\r\nThis document provides an overview of the configuration options available in the project YAML file ([`config.yml`](./config/config.test.yml)).\r\n\r\n### Token\r\n\r\nThe token field is used to specify the API key for authentication. It should be kept secure and not shared publicly. You can read more about API keys in the [ArvanCloud API documentation](https://docs.arvancloud.ir/fa/developer-tools/api/api-key).\r\n\r\nExample:\r\n\r\n```yaml\r\ntoken: \"apikey 87db6d20-1234-abcd-efgh-3a419c8b7479\"\r\n```\r\n\r\n### Products\r\n\r\nThe products section contains configurations for different product modules within the project.\r\n\r\n#### CDN\r\n\r\n```yaml\r\nproducts:\r\n    cdn:\r\n        enable: true\r\n        domains:\r\n            - \"example.ir\"\r\n            - \"example.com\"\r\n        period: 3h\r\n```\r\n\r\n- **`enable`**: Set the enable field to true to activate the CDN collector.\r\n\r\n- **`domains`**: Specify the domains that should be included in report collection.\r\n\r\n- **`period`**: Set the period field to specify the time interval for your reports. For example, if you set the period to `3h`, the exporter will collect the last 3 hours of data from the ArvanCloud API.\r\n\r\n##### Metrics\r\n\r\nThe CDN collector exposes the following metrics:\r\n\r\n| Name                                 | Description                            | Type  |\r\n| ------------------------------------ | -------------------------------------- | ----- |\r\n| `arvancloud_cdn_requests`            | Number of requests                     | gauge |\r\n| `arvancloud_cdn_traffic`             | Traffic served by ArvanCloud per types | gauge |\r\n| `arvancloud_cdn_visitors`            | Number of unique visitors              | gauge |\r\n| `arvancloud_cdn_high_request_ips`    | High request IPs                       | gauge |\r\n| `arvancloud_cdn_requests_by_country` | Number of request by country           | gauge |\r\n| `arvancloud_cdn_traffic_by_country`  | Traffic by country                     | gauge |\r\n| `arvancloud_cdn_response_time`       | Response time                          | gauge |\r\n| `arvancloud_cdn_requests_by_status`  | Number of request by HTTP status code  | gauge |\r\n\r\n>>>\r\n**❗️Warning**: The `high-request-ips` metric is available in **Professional** plan and higher.\r\n\r\n**❕Note**: All metrics will be labeled with `domain` label.\r\n>>>\r\n\r\n##### Dashboard\r\n\r\nYou can use pre-defined dashboard [`20105`](https://grafana.com/grafana/dashboards/20105/) to visualize your data or create your own dashboard.\r\n\r\n![CDN Dashboard](.gitlab/dashboard-cdn.png)\r\n\r\n##### Contributing 🤝\r\n\r\nWe welcome contributions from the community. Please report any issues you find on the Issues page or send us an email at <cdn@arvancloud.ir>.\r\n\r\n---\r\n\r\n#### Object Storage\r\n\r\n```yaml\r\nproducts:\r\n    object:\r\n        enable: true\r\n        buckets:\r\n            - \"bucket1\"\r\n            - \"bucket2\"\r\n```\r\n\r\n- **`enable`**: Set the enable field to true to activate the object storage collector.\r\n\r\n- **`buckets`**: Specify the buckets that should be included in bucket usage metrics report collection.\r\n\r\n##### Metrics\r\n\r\nThe object storage collector exposes the following metrics:\r\n\r\n| Name                                         | Description                                                                                                          | Type  |\r\n| -------------------------------------------- | -------------------------------------------------------------------------------------------------------------------- | ----- |\r\n| `arvancloud_storage_modified_time`           | Indicates the most recent update time of the bucket usage in UTC (if it's zero, it means there's no usage for today) | gauge |\r\n| `arvancloud_storage_total_object_count`      | Represents the total count of objects in bucket                                                                      | gauge |\r\n| `arvancloud_storage_multi_part_object_count` | Represents the total count of multipart objects                                                                      | gauge |\r\n| `arvancloud_storage_bucket_size`             | Represents the actual size of the bucket in bytes                                                                    | gauge |\r\n| `arvancloud_storage_bucket_download`         | Represents bucket downloads in bytes                                                                                 | gauge |\r\n| `arvancloud_storage_bucket_upload`           | Represents bucket uploads in bytes                                                                                   | gauge |\r\n| `arvancloud_storage_bucket_request_count`    | Represents the total count of successful operations per `operation_type` label                                       | gauge |\r\n\r\n>>>\r\n**❕Note**: `operation_type` label in `arvancloud_storage_bucket_request_count` can be one of following types: `put_object`, `get_object`, `delete_object`, `post_head` & `head_bucket`.\r\n\r\n**❕Note**: All metrics will be labeled with `bucket` label.\r\n\r\n**❕Note**: Bucket usage data gets updated every 5 minutes.\r\n>>>\r\n\r\n##### Dashboard\r\n\r\nYou can use pre-defined dashboard [`20106`](https://grafana.com/grafana/dashboards/20106/) to visualize your data or create your own dashboard.\r\n\r\n![CDN Dashboard](.gitlab/dashboard-storage.png)\r\n\r\n##### Contributing 🤝\r\n\r\nWe welcome contributions from the community. Please report any issues you find on the Issues page or send us an email at <object-storage@arvancloud.ir>.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-12-07T18:19:47.000Z","updatedAt":"2023-12-09T06:43:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20105"},{"rel":"revisions","href":"/dashboards/20105/revisions"},{"rel":"revision","href":"/dashboards/20105/revisions/1"},{"rel":"download","href":"/dashboards/20105/revisions/1/download"},{"rel":"org","href":"/orgs/hatamiarash7"},{"rel":"images","href":"/dashboards/20105/images"},{"rel":"thumbnails","href":"/dashboards/20105/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22668,"status":1,"statusCode":"active","orgId":271416,"orgSlug":"hatamiarash7","orgName":"hatamiarash7","slug":"arvancloud-cdn-metrics","downloads":352,"revisionId":39094,"revision":5,"name":"ArvanCloud CDN Metrics","description":"ArvanCloud Domain Metrics","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-01-13T06:39:22.000Z","updatedAt":"2025-11-21T10:45:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22668"},{"rel":"revisions","href":"/dashboards/22668/revisions"},{"rel":"revision","href":"/dashboards/22668/revisions/5"},{"rel":"download","href":"/dashboards/22668/revisions/5/download"},{"rel":"org","href":"/orgs/hatamiarash7"},{"rel":"images","href":"/dashboards/22668/images"},{"rel":"thumbnails","href":"/dashboards/22668/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20106,"status":1,"statusCode":"active","orgId":271416,"orgSlug":"hatamiarash7","orgName":"hatamiarash7","slug":"arvancloud-objectstorage","downloads":276,"revisionId":30902,"revision":1,"name":"ArvanCloud Storage","description":"ArvanCloud Storage Dashboard","readme":"# ArvanCloud Prometheus exporter\r\n\r\n<img src=\".gitlab/prom.png\" width=\"100px\"><br>\r\n\r\nIt's a Prometheus exporter that exposes metrics from ArvanCloud products. Currently, it supports the following products:\r\n\r\n- [x] CDN\r\n- [x] Object Storage\r\n- [ ] PaaS/CaaS (coming soon)\r\n- [ ] IaaS (coming soon)\r\n\r\n## How-to\r\n\r\nYou can run the exporter using Docker:\r\n\r\n```bash\r\ncp config/config.test.yml config/config.yml\r\ndocker run -d \\\r\n    -p 9786:9786 \\\r\n    -v ./config/config.yml:/app/config.yml \\\r\n    r1cloud/exporter:v1.1.0\r\n```\r\n\r\n## Configuration\r\n\r\nThis document provides an overview of the configuration options available in the project YAML file ([`config.yml`](./config/config.test.yml)).\r\n\r\n### Token\r\n\r\nThe token field is used to specify the API key for authentication. It should be kept secure and not shared publicly. You can read more about API keys in the [ArvanCloud API documentation](https://docs.arvancloud.ir/fa/developer-tools/api/api-key).\r\n\r\nExample:\r\n\r\n```yaml\r\ntoken: \"apikey 87db6d20-1234-abcd-efgh-3a419c8b7479\"\r\n```\r\n\r\n### Products\r\n\r\nThe products section contains configurations for different product modules within the project.\r\n\r\n#### CDN\r\n\r\n```yaml\r\nproducts:\r\n    cdn:\r\n        enable: true\r\n        domains:\r\n            - \"example.ir\"\r\n            - \"example.com\"\r\n        period: 3h\r\n```\r\n\r\n- **`enable`**: Set the enable field to true to activate the CDN collector.\r\n\r\n- **`domains`**: Specify the domains that should be included in report collection.\r\n\r\n- **`period`**: Set the period field to specify the time interval for your reports. For example, if you set the period to `3h`, the exporter will collect the last 3 hours of data from the ArvanCloud API.\r\n\r\n##### Metrics\r\n\r\nThe CDN collector exposes the following metrics:\r\n\r\n| Name                                 | Description                            | Type  |\r\n| ------------------------------------ | -------------------------------------- | ----- |\r\n| `arvancloud_cdn_requests`            | Number of requests                     | gauge |\r\n| `arvancloud_cdn_traffic`             | Traffic served by ArvanCloud per types | gauge |\r\n| `arvancloud_cdn_visitors`            | Number of unique visitors              | gauge |\r\n| `arvancloud_cdn_high_request_ips`    | High request IPs                       | gauge |\r\n| `arvancloud_cdn_requests_by_country` | Number of request by country           | gauge |\r\n| `arvancloud_cdn_traffic_by_country`  | Traffic by country                     | gauge |\r\n| `arvancloud_cdn_response_time`       | Response time                          | gauge |\r\n| `arvancloud_cdn_requests_by_status`  | Number of request by HTTP status code  | gauge |\r\n\r\n>>>\r\n**❗️Warning**: The `high-request-ips` metric is available in **Professional** plan and higher.\r\n\r\n**❕Note**: All metrics will be labeled with `domain` label.\r\n>>>\r\n\r\n##### Dashboard\r\n\r\nYou can use pre-defined dashboard [`20105`](https://grafana.com/grafana/dashboards/20105/) to visualize your data or create your own dashboard.\r\n\r\n![CDN Dashboard](.gitlab/dashboard-cdn.png)\r\n\r\n##### Contributing 🤝\r\n\r\nWe welcome contributions from the community. Please report any issues you find on the Issues page or send us an email at <cdn@arvancloud.ir>.\r\n\r\n---\r\n\r\n#### Object Storage\r\n\r\n```yaml\r\nproducts:\r\n    object:\r\n        enable: true\r\n        buckets:\r\n            - \"bucket1\"\r\n            - \"bucket2\"\r\n```\r\n\r\n- **`enable`**: Set the enable field to true to activate the object storage collector.\r\n\r\n- **`buckets`**: Specify the buckets that should be included in bucket usage metrics report collection.\r\n\r\n##### Metrics\r\n\r\nThe object storage collector exposes the following metrics:\r\n\r\n| Name                                         | Description                                                                                                          | Type  |\r\n| -------------------------------------------- | -------------------------------------------------------------------------------------------------------------------- | ----- |\r\n| `arvancloud_storage_modified_time`           | Indicates the most recent update time of the bucket usage in UTC (if it's zero, it means there's no usage for today) | gauge |\r\n| `arvancloud_storage_total_object_count`      | Represents the total count of objects in bucket                                                                      | gauge |\r\n| `arvancloud_storage_multi_part_object_count` | Represents the total count of multipart objects                                                                      | gauge |\r\n| `arvancloud_storage_bucket_size`             | Represents the actual size of the bucket in bytes                                                                    | gauge |\r\n| `arvancloud_storage_bucket_download`         | Represents bucket downloads in bytes                                                                                 | gauge |\r\n| `arvancloud_storage_bucket_upload`           | Represents bucket uploads in bytes                                                                                   | gauge |\r\n| `arvancloud_storage_bucket_request_count`    | Represents the total count of successful operations per `operation_type` label                                       | gauge |\r\n\r\n>>>\r\n**❕Note**: `operation_type` label in `arvancloud_storage_bucket_request_count` can be one of following types: `put_object`, `get_object`, `delete_object`, `post_head` & `head_bucket`.\r\n\r\n**❕Note**: All metrics will be labeled with `bucket` label.\r\n\r\n**❕Note**: Bucket usage data gets updated every 5 minutes.\r\n>>>\r\n\r\n##### Dashboard\r\n\r\nYou can use pre-defined dashboard [`20106`](https://grafana.com/grafana/dashboards/20106/) to visualize your data or create your own dashboard.\r\n\r\n![CDN Dashboard](.gitlab/dashboard-storage.png)\r\n\r\n##### Contributing 🤝\r\n\r\nWe welcome contributions from the community. Please report any issues you find on the Issues page or send us an email at <object-storage@arvancloud.ir>.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-12-07T18:29:27.000Z","updatedAt":"2023-12-09T06:44:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20106"},{"rel":"revisions","href":"/dashboards/20106/revisions"},{"rel":"revision","href":"/dashboards/20106/revisions/1"},{"rel":"download","href":"/dashboards/20106/revisions/1/download"},{"rel":"org","href":"/orgs/hatamiarash7"},{"rel":"images","href":"/dashboards/20106/images"},{"rel":"thumbnails","href":"/dashboards/20106/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17874,"status":1,"statusCode":"active","orgId":776169,"orgSlug":"arzaay","orgName":"arzaay","slug":"checkpointz","downloads":270,"revisionId":27410,"revision":1,"name":"Arzaay","description":"A companion dashboard for Checkpointz","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-01-13T12:27:01.000Z","updatedAt":"2023-01-13T12:41:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17874"},{"rel":"revisions","href":"/dashboards/17874/revisions"},{"rel":"revision","href":"/dashboards/17874/revisions/1"},{"rel":"download","href":"/dashboards/17874/revisions/1/download"},{"rel":"org","href":"/orgs/arzaay"},{"rel":"images","href":"/dashboards/17874/images"},{"rel":"thumbnails","href":"/dashboards/17874/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19740,"status":1,"statusCode":"active","orgId":28914,"orgSlug":"testingpepe","orgName":"Agustin de Andres","slug":"as112","downloads":279,"revisionId":30293,"revision":1,"name":"AS112","description":"AS112 project dashboard","readme":"This dashboard is intended to see the metrics of AS112 project. You need to have a Telegreaf sending data to a InfluxDB2, in this case with bucket name \"as112\".\r\nTelegraf standard config with just 2 input plugins \"net\" and \"netstat\". You can add others including bind to have more data.","collectorType":"Telegraf","collectorConfig":"[agent]\r\n\r\n  interval = \"10s\"\r\n\r\n  round_interval = true\r\n\r\n  metric_batch_size = 1000\r\n\r\n  metric_buffer_limit = 10000\r\n\r\n  collection_jitter = \"0s\"\r\n\r\n  flush_interval = \"10s\"\r\n\r\n  flush_jitter = \"0s\"\r\n\r\n  precision = \"0s\"\r\n\r\n  hostname = \"\"\r\n\r\n  omit_hostname = false\r\n\r\n\r\n\r\n###############################################################################\r\n#                            OUTPUT PLUGINS                                   #\r\n###############################################################################\r\n\r\n[[outputs.influxdb_v2]]\r\n\r\n  urls = [\"https://influxip:8086\"]\r\n\r\n  token = \"yoursecrettoken\"\r\n\r\n  organization = \"yourorg\"\r\n\r\n  bucket = \"as112\"\r\n\r\n\r\n\r\n\r\n###############################################################################\r\n#                            INPUT PLUGINS                                    #\r\n###############################################################################\r\n\r\n\r\n[[inputs.mem]]\r\n\r\n\r\n\r\n[[inputs.net]]\r\n\r\n\r\n\r\n[[inputs.diskio]]\r\n\r\n\r\n\r\n[[inputs.system]]\r\n\r\n\r\n[[inputs.processes]]\r\n\r\n\r\n[[inputs.netstat]]\r\n\r\n\r\n\r\n[[inputs.bind]]\r\n\r\n","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-10-09T19:37:29.000Z","updatedAt":"2023-10-09T19:58:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19740"},{"rel":"revisions","href":"/dashboards/19740/revisions"},{"rel":"revision","href":"/dashboards/19740/revisions/1"},{"rel":"download","href":"/dashboards/19740/revisions/1/download"},{"rel":"org","href":"/orgs/testingpepe"},{"rel":"images","href":"/dashboards/19740/images"},{"rel":"thumbnails","href":"/dashboards/19740/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20592,"status":1,"statusCode":"active","orgId":1063698,"orgSlug":"zhe0106","orgName":"Cz","slug":"ascend-npu-exporter","downloads":1694,"revisionId":32356,"revision":3,"name":"ascend-npu-exporter","description":"「Ascend Npu Monitor」\r\nA Grafana dashboard for monitoring Ascend NPU metrics via ascend-npu-exporter. Visualize AI Core utilization, temperature, power, memory, and network status in real time.\r\n基于 ascend-npu-exporter 的昇腾NPU监控面板，支持AI Core、温度、功耗、内存、网络等关键指标的实时可视化。","readme":"# ascend-npu-dashboard\r\nGrafana Dashboard for Monitoring Ascend NPU Exporter,适用于ascend-npu-exporter监控昇腾AI处理器的Grafana Dashboard\r\n也可以访问github仓库查看最新版[ascend-npu-dashboard](https://github.com/Cz200OK/ascend-npu-dashboard)\r\n## 1.简介\r\n采用[ascend-npu-exporter](https://gitee.com/ascend/ascend-npu-exporter)二进制启动方式监控昇腾AI处理器，数据存储在prometheus中，可下载该面板通过Grafana展示。\r\n## 2.涉及指标\r\n| 指标名 |\r\n| ---  |\r\n|  昇腾AI处理器数目 |\r\n|  昇腾AI处理器的AI Core当前频率 |\r\n|  昇腾AI处理器网络健康状态 （仅支持Atlas 训练系列产品|\r\n|  昇腾AI处理器网口Link状态 （仅支持Atlas 训练系列产品|\r\n|  昇腾AI处理器网口实时接收速率（仅支持Atlas 训练系列产品） |\r\n|  昇腾AI处理器网口实时发送速率 （仅支持Atlas 训练系列产品）|\r\n|  昇腾AI处理器持续健康状态 |\r\n|  昇腾AI处理器的进程的信息，取值为进程使用的内存 |\r\n|  昇腾AI处理器AI Core利用率 |\r\n|  昇腾AI处理器温度 |\r\n|  昇腾AI处理器功耗（910和310为处理器功耗，310P为板卡功耗） |\r\n|  昇腾AI处理器DDR内存已使用信息|\r\n|  昇腾AI处理器HBM内存总信息|\r\n\r\n详细指标参见[NPU-Exporter Prometheus Metrics](https://www.hiascend.com/document/detail/zh/mindx-dl/600/clusterscheduling/ref/api/dlug_api_004.html)接口\r\n## 3.截图示例\r\n20240229版本\r\n![lena](https://raw.githubusercontent.com/ZheCheng/ascend-npu-dashboard/main/Dashboards/ascend-npu-dashboard_20240229.png?raw=true)\r\n20240301版本：调整加速卡信息面板\r\n![image](https://raw.githubusercontent.com/ZheCheng/ascend-npu-dashboard/main/Dashboards/ascend-npu-dashboard_20240301.png?raw=true)\r\n20240410版本:监控状态新增“离线”展示\r\n![image](https://github.com/ZheCheng/ascend-npu-dashboard/blob/main/Dashboards/ascend-npu-dashboard_20240308.png?raw=true)","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"Other","datasource":"Prometheus","privacy":"public","createdAt":"2024-02-29T04:53:25.000Z","updatedAt":"2025-08-25T10:35:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20592"},{"rel":"revisions","href":"/dashboards/20592/revisions"},{"rel":"revision","href":"/dashboards/20592/revisions/3"},{"rel":"download","href":"/dashboards/20592/revisions/3/download"},{"rel":"org","href":"/orgs/zhe0106"},{"rel":"images","href":"/dashboards/20592/images"},{"rel":"thumbnails","href":"/dashboards/20592/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12526,"status":1,"statusCode":"active","orgId":395233,"orgSlug":"ramsarangapany","orgName":"ramsarangapany","slug":"asp-net-core-services","downloads":777,"revisionId":17991,"revision":2,"name":"Asp net core - Services","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-06-25T11:19:30.000Z","updatedAt":"2020-06-25T12:00:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12526"},{"rel":"revisions","href":"/dashboards/12526/revisions"},{"rel":"revision","href":"/dashboards/12526/revisions/2"},{"rel":"download","href":"/dashboards/12526/revisions/2/download"},{"rel":"org","href":"/orgs/ramsarangapany"},{"rel":"images","href":"/dashboards/12526/images"},{"rel":"thumbnails","href":"/dashboards/12526/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19924,"status":1,"statusCode":"active","orgId":983265,"orgSlug":"dotnetteam","orgName":".NET team","slug":"asp-net-core","downloads":20802,"revisionId":36727,"revision":5,"name":"ASP.NET Core","description":"ASP.NET Core metrics from OpenTelemetry","readme":"Understand the state of an ASP.NET Core app at a glance with the ASP.NET Core dashboard. This dashboard includes the most commonly used [ASP.NET Core metrics](https://learn.microsoft.com/en-us/dotnet/core/diagnostics/built-in-metrics-aspnetcore).\r\n\r\nRequires .NET 8 or later.\r\n\r\nData displayed:\r\n\r\n* Request duration\r\n* Error rate\r\n* Current connections\r\n* Current requests\r\n* Total requests\r\n* Total unhandled exceptions\r\n* Requests secured\r\n* Requests HTTP protocol\r\n* Top requested endpoints\r\n* Top errored endpoints\r\n\r\nThe endpoints in this dashboard link to the [ASP.NET Core endpoint dashboard](https://grafana.com/grafana/dashboards/19925). The endpoint dashboard provides more detail about individual endpoints. 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This dashboard includes the most commonly used [ASP.NET Core metrics](https://learn.microsoft.com/en-us/dotnet/core/diagnostics/built-in-metrics-aspnetcore).\r\n\r\nRequires .NET 8 or later.\r\n\r\nData displayed:\r\n\r\n* Request duration\r\n* Error rate\r\n* Unhandled exceptions\r\n* Requests HTTP status code\r\n* Requests secured\r\n* Requests HTTP protocol\r\n\r\nThis dashboard can be used on its own or opened from links on the [ASP.NET Core dashboard](https://grafana.com/grafana/dashboards/19924). Import both dashboards into Grafana for the best experience.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-08T04:06:04.000Z","updatedAt":"2025-04-07T00:38:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19925"},{"rel":"revisions","href":"/dashboards/19925/revisions"},{"rel":"revision","href":"/dashboards/19925/revisions/4"},{"rel":"download","href":"/dashboards/19925/revisions/4/download"},{"rel":"org","href":"/orgs/dotnetteam"},{"rel":"images","href":"/dashboards/19925/images"},{"rel":"thumbnails","href":"/dashboards/19925/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14308,"status":1,"statusCode":"active","orgId":488273,"orgSlug":"benfoster","orgName":"benfoster","slug":"asp-net-metrics","downloads":966,"revisionId":21068,"revision":1,"name":"ASP.NET Metrics","description":"Grafana dashboard for the O9d ASP.NET 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Metric names were improved according to name rules followed by the OtlpExporter and the Colector.\r\n\r\n[leakyheap](https://grafana.com/orgs/leakyheap), thank you so much.\r\n\r\nSouce code of .NET applications and docker containers configurations can be found here: [https://github.com/askrinnik/OtlpMeterUsing](https://github.com/askrinnik/OtlpMeterUsing). 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[https://github.com/b2wdigital/async-worker](https://github.com/b2wdigital/async-worker)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-04-18T19:43:39.000Z","updatedAt":"2021-04-18T21:24:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14245"},{"rel":"revisions","href":"/dashboards/14245/revisions"},{"rel":"revision","href":"/dashboards/14245/revisions/1"},{"rel":"download","href":"/dashboards/14245/revisions/1/download"},{"rel":"org","href":"/orgs/xos"},{"rel":"images","href":"/dashboards/14245/images"},{"rel":"thumbnails","href":"/dashboards/14245/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12582,"status":1,"statusCode":"active","orgId":397937,"orgSlug":"kunaljha5","orgName":"kunaljha5","slug":"atassian-bamboo","downloads":714,"revisionId":18087,"revision":1,"name":"Atassian Bamboo","description":"Atlassian Bamboo Grafana Dasboard With Best Possible Query to Use for Daily Usage","readme":"This dashboard is for reading Atlassian Bamboo metrics in the easiest way. \r\nIt has Below three stats that are very relative for our daily bamboo metrics monitoring.\r\n\r\n1. Finished Build Duration per 15 Mins. (Execution Time) \r\n2. Bamboo Build Status per 15 Mins. (Status)\r\n3. Agents Status (All, Active, Busy) \r\n\r\nThis will only work if you have added the below plugin to your bamboo server and exposed the metrics.  \r\n\r\nhttps://marketplace.atlassian.com/apps/1218725/prometheus-exporter-for-bamboo?hosting=server&tab=overview\r\n\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-07-05T12:25:47.000Z","updatedAt":"2020-07-05T12:41:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12582"},{"rel":"revisions","href":"/dashboards/12582/revisions"},{"rel":"revision","href":"/dashboards/12582/revisions/1"},{"rel":"download","href":"/dashboards/12582/revisions/1/download"},{"rel":"org","href":"/orgs/kunaljha5"},{"rel":"images","href":"/dashboards/12582/images"},{"rel":"thumbnails","href":"/dashboards/12582/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19687,"status":1,"statusCode":"active","orgId":955935,"orgSlug":"atempo","orgName":"atempo","slug":"lina","downloads":331,"revisionId":33260,"revision":2,"name":"Atempo Lina","description":"Dashboard for Atempo Lina Continuous Data Protection","readme":"# Prerequisites\r\n\r\nThis dashboard requires :\r\n- Lina standalone server or master server (in a multi-node setup) version 7.1 or superior\r\n- Grafana with [Polystat panel](https://grafana.com/grafana/plugins/grafana-polystat-panel/) and [Treemap panel](https://grafana.com/grafana/plugins/marcusolsson-treemap-panel/)\r\n- Prometheus for scraping\r\n\r\n## Add an API Key\r\n\r\nIn order to allow Prometheus to scrape Lina metrics endpoint you must create an API Key associated to a superadmin-level user.\r\n\r\nTo generate a new API key : \r\n1. Go to **Server > Users**\r\n2. In the list of users, click a user.\r\n3. In the user details, click **API keys**.\r\n4. Define an expiration date for the new API key\r\n5. Click **Add an API key**.\r\n6. Copy this API key for later use\r\n\r\n## Example of Prometheus configuration\r\n\r\nThis is an example of Prometheus configuration to scrape Lina metrics\r\n\r\nExtract of scrape_configs section of prometheus.yml configuration file :\r\n\r\n```\r\n  - job_name: 'lina'\r\n    scrape_interval: 5m\r\n    scrape_timeout: 1m\r\n    params:\r\n      api_key: ['API-KEY']\r\n    metrics_path: /ADE/metrics\r\n    scheme: https\r\n    tls_config:\r\n      insecure_skip_verify: true\r\n    static_configs:\r\n      - targets: ['lina-server.yourdomain.com:8181']\r\n```\r\nReplace **API-KEY** with previously generated API key. \r\n\r\nReplace **'lina-server.yourdomain.com:8181** with hostname and administration port of your Lina server.\r\n\r\nNote: Parameter **insecure_skip_verify: true** is only required if your Lina server certificate is not valid (self-signed or unknown authority).\r\n\r\n## Import dashboard\r\n\r\nImport the current dashboard into Grafana.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-10-02T07:50:05.000Z","updatedAt":"2024-07-08T07:57:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19687"},{"rel":"revisions","href":"/dashboards/19687/revisions"},{"rel":"revision","href":"/dashboards/19687/revisions/2"},{"rel":"download","href":"/dashboards/19687/revisions/2/download"},{"rel":"org","href":"/orgs/atempo"},{"rel":"images","href":"/dashboards/19687/images"},{"rel":"thumbnails","href":"/dashboards/19687/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19677,"status":1,"statusCode":"active","orgId":955935,"orgSlug":"atempo","orgName":"atempo","slug":"miria","downloads":309,"revisionId":30196,"revision":1,"name":"Atempo Miria","description":"Dashboard for Atempo Miria Data Management","readme":"# Prerequisites\r\n\r\nThis dashboard requires :\r\n- Miria server version 4.1 or superior\r\n- Grafana with [Polystat plugin](https://grafana.com/grafana/plugins/grafana-polystat-panel/)\r\n- Prometheus for scraping\r\n\r\n# Integration with Prometheus and Grafana through OpenMetrics\r\n\r\nMiria API is exposing some metrics following OpenMetrics standard allowing advanced supervision and monitoring using external tools such as Prometheus (for collecting and storing metrics) and Grafana (for visualization).\r\n\r\nNote: OpenMetrics format is compatible with other softwares such as Telegraf, Datadog, VictoriaMetrics.\r\n\r\n# How to configure Prometheus\r\n\r\nThe metrics endpoint is available by default on **/restapi/metrics?database=ADA** (replace ADA with your database name if your are not using default name)\r\nAccess to this endpoint can be tested manually using default API authentication (through Swagger or ReDoc documentation for example).\r\n\r\nFor production use, it must be configured to accept requests based on source IPs (usually the IPs of your Prometheus scrapers).\r\nTo authorize some IPs, add the following variable to the **/Miria/restapi/.env** file on Miria server:\r\n\r\n```\r\nALLOW_METRICS_FOR_IP=\"10.0.0.1,10.1.2.3\"\r\n```\r\nReplace 10.0.0.1,10.1.2.3 by the list of comma-separated IP values of your environment. Wildcards and IP ranges are not supported.\r\n\r\nRestart Apache service on Miria server to apply modifications.\r\n\r\n## Example of Prometheus configuration\r\n\r\nThis is an example of Prometheus configuration to scrape Miria metrics\r\n\r\nExtract of scrape_configs section of prometheus.yml configuration file :\r\n\r\n```\r\n  - job_name: 'miria'\r\n    scrape_interval: 5m\r\n    scrape_timeout: 1m\r\n    params:\r\n      database: ['ADA']\r\n    metrics_path: /restapi/metrics\r\n    scheme: https\r\n    tls_config:\r\n      insecure_skip_verify: true\r\n    static_configs:\r\n      - targets: ['miria-server.yourdomain.com']\r\n```\r\nReplace **ADA** with your Miria database name. If you have multiple databases, you must create one scrape config per database.\r\n\r\nNote: Parameter insecure_skip_verify: true is only required if your Miria server certificate is not valid (self-signed or unknown authority).\r\n\r\n## Import dashboard\r\n\r\nImport the current dashboard into Grafana.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-09-29T13:48:40.000Z","updatedAt":"2023-11-13T08:55:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19677"},{"rel":"revisions","href":"/dashboards/19677/revisions"},{"rel":"revision","href":"/dashboards/19677/revisions/1"},{"rel":"download","href":"/dashboards/19677/revisions/1/download"},{"rel":"org","href":"/orgs/atempo"},{"rel":"images","href":"/dashboards/19677/images"},{"rel":"thumbnails","href":"/dashboards/19677/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19922,"status":1,"statusCode":"active","orgId":955935,"orgSlug":"atempo","orgName":"atempo","slug":"tina","downloads":332,"revisionId":30618,"revision":1,"name":"Atempo Tina","description":"Dashboard for Atempo Tina Data Protection","readme":"# Prerequisites\r\n\r\nThis dashboard requires :\r\n- Tina server version 4.9 or superior\r\n- Prometheus for scraping\r\n\r\n## Enable OpenMetrics endpoint\r\n\r\nOpen Tina webUI then navigate to **Settings** -> **Preferences**. Edit **Application Parameters**.\r\n\r\n**Activate metrics endpoint** then check **Enable trusted IP address**. Enter the IP address of your Prometheus scraper server.\r\n\r\nClick **Save** to enable your configuration.\r\n\r\n## Example of Prometheus configuration\r\n\r\nThis is an example of Prometheus configuration to scrape Tina metrics\r\n\r\nExtract of scrape_configs section of prometheus.yml configuration file :\r\n\r\n```\r\n  - job_name: 'catalog@tina-server.yourdomain.com'\r\n    scrape_interval: 5m\r\n    scrape_timeout: 1m\r\n    params:\r\n      catalog: ['catalog']\r\n      server: ['tina-server']\r\n    metrics_path: /Tina/api/metrics\r\n    scheme: https\r\n    tls_config:\r\n      insecure_skip_verify: true\r\n    static_configs:\r\n      - targets: ['tina-server.yourdomain.com:25088']\r\n```\r\n\r\nReplace **catalog** with Tina catalog name and **tina-server** with Tina hostname as configured in the application. If you have multiple catalogs, you must create one scrape config per catalog.\r\n\r\nReplace **tina-server.yourdomain.com:25088** with hostname and administration port of your Tina server.\r\n\r\nWarning : Depending on your config, \"metrics_path\" URL may not start with an upper case \"T\".\r\n\r\nNote: Parameter **insecure_skip_verify: true** is only required if your Tina server certificate is not valid (self-signed or unknown authority).\r\n\r\n## Import dashboard\r\n\r\nImport the current dashboard into Grafana.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-07T08:58:24.000Z","updatedAt":"2024-09-10T14:06:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19922"},{"rel":"revisions","href":"/dashboards/19922/revisions"},{"rel":"revision","href":"/dashboards/19922/revisions/1"},{"rel":"download","href":"/dashboards/19922/revisions/1/download"},{"rel":"org","href":"/orgs/atempo"},{"rel":"images","href":"/dashboards/19922/images"},{"rel":"thumbnails","href":"/dashboards/19922/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23419,"status":1,"statusCode":"active","orgId":90180,"orgSlug":"andrii29","orgName":"andrii29","slug":"atlantis","downloads":5721,"revisionId":37184,"revision":1,"name":"Atlantis","description":"Atlantis Metrics Dashboard","readme":"This Grafana dashboard provides detailed observability into [Atlantis](https://github.com/runatlantis/atlantis), an open-source Terraform automation tool used for GitOps-style infrastructure management. The dashboard visualizes key metrics to help DevOps teams monitor Atlantis performance, identify issues, and ensure reliable infrastructure provisioning 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To gather the \"Score\" metric, you can use the repo [located here](https://github.com/asachs01/awair-local-prom-exporter) and build it on your own until the maintainer accepts the PR used to export the \"Score.\"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-07-01T17:54:36.000Z","updatedAt":"2024-07-01T18:09:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21433"},{"rel":"revisions","href":"/dashboards/21433/revisions"},{"rel":"revision","href":"/dashboards/21433/revisions/1"},{"rel":"download","href":"/dashboards/21433/revisions/1/download"},{"rel":"org","href":"/orgs/sachshaus"},{"rel":"images","href":"/dashboards/21433/images"},{"rel":"thumbnails","href":"/dashboards/21433/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21060,"status":1,"statusCode":"active","orgId":877770,"orgSlug":"josepharega","orgName":"josepharega","slug":"awashbirr-pro-txn-s","downloads":276,"revisionId":32731,"revision":1,"name":"AwashBirr-Pro txn's","description":"my monitoring dashboard","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL, Microsoft SQL Server","privacy":"public","createdAt":"2024-05-11T07:03:36.000Z","updatedAt":"2024-05-11T07:05:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21060"},{"rel":"revisions","href":"/dashboards/21060/revisions"},{"rel":"revision","href":"/dashboards/21060/revisions/1"},{"rel":"download","href":"/dashboards/21060/revisions/1/download"},{"rel":"org","href":"/orgs/josepharega"},{"rel":"images","href":"/dashboards/21060/images"},{"rel":"thumbnails","href":"/dashboards/21060/thumbnails"}],"datasourceSlugs":["grafana-postgresql-datasource","mssql"]},{"id":20630,"status":1,"statusCode":"active","orgId":1067752,"orgSlug":"marioschroeckmayr","orgName":"marioschroeckmayr","slug":"awattar","downloads":284,"revisionId":31868,"revision":1,"name":"Awattar","description":"Simple Dashboard for the Awattar electricity price api (hourly floating)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Infinity","privacy":"public","createdAt":"2024-03-04T19:17:15.000Z","updatedAt":"2024-03-04T19:17:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20630"},{"rel":"revisions","href":"/dashboards/20630/revisions"},{"rel":"revision","href":"/dashboards/20630/revisions/1"},{"rel":"download","href":"/dashboards/20630/revisions/1/download"},{"rel":"org","href":"/orgs/marioschroeckmayr"},{"rel":"images","href":"/dashboards/20630/images"},{"rel":"thumbnails","href":"/dashboards/20630/thumbnails"}],"datasourceSlugs":["yesoreyeram-infinity-datasource"]},{"id":18465,"status":1,"statusCode":"active","orgId":310672,"orgSlug":"try2codesecure","orgName":"try2codesecure","slug":"awattar","downloads":542,"revisionId":28332,"revision":1,"name":"Awattar","description":"Simple Dashboard for the Awattar electricity price api (hourly floating)","readme":"Awattar is an austrian electricity supplier which offers an hourly electricity price and the corresponding api (https://www.awattar.at/services/api/).\r\nThis dashboard queries the rest api with the infinity plugin & displays the price on an clearly dashboard.\r\n\r\nAlso available on [github](https://github.com/try2codesecure/grafana_dashboards.git)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Infinity","privacy":"public","createdAt":"2023-04-08T17:27:51.000Z","updatedAt":"2023-04-08T18:09:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18465"},{"rel":"revisions","href":"/dashboards/18465/revisions"},{"rel":"revision","href":"/dashboards/18465/revisions/1"},{"rel":"download","href":"/dashboards/18465/revisions/1/download"},{"rel":"org","href":"/orgs/try2codesecure"},{"rel":"images","href":"/dashboards/18465/images"},{"rel":"thumbnails","href":"/dashboards/18465/thumbnails"}],"datasourceSlugs":["yesoreyeram-infinity-datasource"]},{"id":17244,"status":1,"statusCode":"active","orgId":730028,"orgSlug":"micahcarrick","orgName":"micahcarrick","slug":"aws-ena-network-performance","downloads":1853,"revisionId":26511,"revision":2,"name":"AWS  ENA Network Performance","description":"A dashbaord for monitoring AWS Elastic Network Adapter performance using the Prometheus Node exporter.","readme":"Monitoring AWS ENA metrics using metrics provided by [Prometheus Node Exporter](https://github.com/prometheus/node_exporter). For details on the ENA metrics see the AWS documentation:  [Monitor network performance for your EC2 instance](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/monitoring-network-performance-ena.html).\r\n\r\nExporting the ENA metrics requires enabling the `ethtool` collector which is not enabled by default. Enable using the `--collector.ethtool` command-line argument to `node_exporter`. Also makes use of the `netstat` collector which is already enabled by default.\r\n","collectorType":"nodeExporter","collectorConfig":"Exporting the ENA metrics requires enabling the `ethtool` collector which is not enabled by default. Enable using the `--collector.ethtool` command-line argument. Also makes use of the `netstat` collector which is already enabled by default.","collectorPluginList":"netstat, Other","datasource":"Prometheus","privacy":"public","createdAt":"2022-10-21T20:31:40.000Z","updatedAt":"2022-10-23T15:22:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17244"},{"rel":"revisions","href":"/dashboards/17244/revisions"},{"rel":"revision","href":"/dashboards/17244/revisions/2"},{"rel":"download","href":"/dashboards/17244/revisions/2/download"},{"rel":"org","href":"/orgs/micahcarrick"},{"rel":"images","href":"/dashboards/17244/images"},{"rel":"thumbnails","href":"/dashboards/17244/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20577,"status":1,"statusCode":"active","orgId":1062397,"orgSlug":"ashoemaker","orgName":"ashoemaker","slug":"aws-eks","downloads":5507042,"revisionId":31792,"revision":1,"name":"AWS - EKS","description":"This dashboard shows Container Insight metrics for EKS via CloudWatch.","readme":"Please consider donating only if this has saved you a considerable amount of time and effort. \r\n\r\nAll donations go towards further open-source dashboard creation contributions and enhancements:\r\n\r\nhttps://www.paypal.com/donate/?business=HDBCYRUFH8XUL&no_recurring=1&item_name=Please+only+consider+donating+if+my+dashboards+have+saved+you+a+considerable+amount+of+time+and+effort.+%0A%0AThank+you%21&currency_code=USD\r\n\r\nAll visualizations, metrics, and layout purposefully chosen for end-usage.\r\n\r\nPlease make sure to configure the following:\r\n\r\nhttps://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/deploy-container-insights-EKS.html\r\n\r\nAlso make sure to update the template variable; DataSource, to fit your use case and establish connectivity.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2024-02-26T22:56:30.000Z","updatedAt":"2024-11-21T13:46:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20577"},{"rel":"revisions","href":"/dashboards/20577/revisions"},{"rel":"revision","href":"/dashboards/20577/revisions/1"},{"rel":"download","href":"/dashboards/20577/revisions/1/download"},{"rel":"org","href":"/orgs/ashoemaker"},{"rel":"images","href":"/dashboards/20577/images"},{"rel":"thumbnails","href":"/dashboards/20577/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":14361,"status":1,"statusCode":"active","orgId":492021,"orgSlug":"dvdlevanon","orgName":"dvdlevanon","slug":"aws-alb-cloudwatch-metrics","downloads":26807959,"revisionId":21187,"revision":1,"name":"AWS ALB Cloudwatch Metrics","description":"Shows AWS Application load balancer metrics from Cloudwatch","readme":"Show AWS Application load balancer metrics according to \n\nhttps://docs.aws.amazon.com/elasticloadbalancing/latest/application/load-balancer-cloudwatch-metrics.html\n\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2021-05-05T00:53:16.000Z","updatedAt":"2021-05-05T00:55:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14361"},{"rel":"revisions","href":"/dashboards/14361/revisions"},{"rel":"revision","href":"/dashboards/14361/revisions/1"},{"rel":"download","href":"/dashboards/14361/revisions/1/download"},{"rel":"org","href":"/orgs/dvdlevanon"},{"rel":"images","href":"/dashboards/14361/images"},{"rel":"thumbnails","href":"/dashboards/14361/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":22202,"status":1,"statusCode":"active","orgId":871634,"orgSlug":"dcnim94","orgName":"dcnim94","slug":"aws-alb-cloudwatch-metrics","downloads":516,"revisionId":34880,"revision":1,"name":"AWS ALB Cloudwatch Metrics","description":"Shows AWS Application load balancer metrics from Cloudwatch","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-11-01T07:10:10.000Z","updatedAt":"2024-11-01T07:11:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22202"},{"rel":"revisions","href":"/dashboards/22202/revisions"},{"rel":"revision","href":"/dashboards/22202/revisions/1"},{"rel":"download","href":"/dashboards/22202/revisions/1/download"},{"rel":"org","href":"/orgs/dcnim94"},{"rel":"images","href":"/dashboards/22202/images"},{"rel":"thumbnails","href":"/dashboards/22202/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14881,"status":1,"statusCode":"active","orgId":531918,"orgSlug":"selongwang","orgName":"selongwang","slug":"aws-alb-golden-signals","downloads":2455,"revisionId":22175,"revision":1,"name":"AWS ALB Golden Signals","description":"only for testing","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-08-18T02:37:25.000Z","updatedAt":"2021-08-18T02:39:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14881"},{"rel":"revisions","href":"/dashboards/14881/revisions"},{"rel":"revision","href":"/dashboards/14881/revisions/1"},{"rel":"download","href":"/dashboards/14881/revisions/1/download"},{"rel":"org","href":"/orgs/selongwang"},{"rel":"images","href":"/dashboards/14881/images"},{"rel":"thumbnails","href":"/dashboards/14881/thumbnails"}]},{"id":24092,"status":1,"statusCode":"active","orgId":285936,"orgSlug":"arnaudlemaignen","orgName":"arnaudlemaignen","slug":"aws-apache-airflow-mwaa","downloads":285,"revisionId":38441,"revision":1,"name":"AWS Apache Airflow (MWAA)","description":"Apache Airflow is an open-source workflow management platform for data engineering pipelines.","readme":"### [AWS AirFlow](https://github.com/arnaudlemaignen/grafana-dashboards/tree/master/cloudwatch-ds/aws-airflow)\r\n\r\nIn addition to Apache Airflow metrics, you can monitor the underlying components of your Amazon Managed Workflows for Apache Airflow environments using CloudWatch, which collects raw data and processes data into readable, near real-time metrics. With these environment metrics, you will have greater visibility into key performance indicators to help you appropriately size your environments and debug issues with your workflows. These metrics apply to all supported Apache Airflow versions on Amazon MWAA.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2025-09-18T22:43:23.000Z","updatedAt":"2025-09-18T23:13:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24092"},{"rel":"revisions","href":"/dashboards/24092/revisions"},{"rel":"revision","href":"/dashboards/24092/revisions/1"},{"rel":"download","href":"/dashboards/24092/revisions/1/download"},{"rel":"org","href":"/orgs/arnaudlemaignen"},{"rel":"images","href":"/dashboards/24092/images"},{"rel":"thumbnails","href":"/dashboards/24092/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":1516,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-api-gateway","downloads":166042,"revisionId":35524,"revision":13,"name":"AWS API Gateway","description":"Visualize AWS API Gateway metrics","readme":"## AWS API Gateway\r\n\r\nVisualize AWS API Gateway metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[https://grafana.com/docs/grafana/latest/datasources/cloudwatch/](https://grafana.com/docs/grafana/latest/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2017-02-16T21:03:00.000Z","updatedAt":"2024-12-24T13:49:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/1516"},{"rel":"revisions","href":"/dashboards/1516/revisions"},{"rel":"revision","href":"/dashboards/1516/revisions/13"},{"rel":"download","href":"/dashboards/1516/revisions/13/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/1516/images"},{"rel":"thumbnails","href":"/dashboards/1516/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":10817,"status":1,"statusCode":"active","orgId":214448,"orgSlug":"niradler","orgName":"niradler","slug":"aws-api-gateway","downloads":420,"revisionId":15113,"revision":1,"name":"AWS API Gateway","description":"Visualize AWS API Gateway metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2019-09-04T20:24:56.000Z","updatedAt":"2019-09-04T20:25:25.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10817"},{"rel":"revisions","href":"/dashboards/10817/revisions"},{"rel":"revision","href":"/dashboards/10817/revisions/1"},{"rel":"download","href":"/dashboards/10817/revisions/1/download"},{"rel":"org","href":"/orgs/niradler"},{"rel":"images","href":"/dashboards/10817/images"},{"rel":"thumbnails","href":"/dashboards/10817/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":12533,"status":1,"statusCode":"active","orgId":395736,"orgSlug":"aijazhub","orgName":"aijazhub","slug":"aws-api-gateway","downloads":413,"revisionId":18001,"revision":1,"name":"AWS API Gateway","description":"Visualize AWS API Gateway metrics","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2020-06-26T23:01:49.000Z","updatedAt":"2020-06-26T23:02:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12533"},{"rel":"revisions","href":"/dashboards/12533/revisions"},{"rel":"revision","href":"/dashboards/12533/revisions/1"},{"rel":"download","href":"/dashboards/12533/revisions/1/download"},{"rel":"org","href":"/orgs/aijazhub"},{"rel":"images","href":"/dashboards/12533/images"},{"rel":"thumbnails","href":"/dashboards/12533/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":20796,"status":1,"statusCode":"active","orgId":952783,"orgSlug":"cboudereau","orgName":"cboudereau","slug":"aws-api-gateway-cloudwatch-logs-metrics","downloads":1448,"revisionId":35666,"revision":5,"name":"AWS API Gateway CloudWatch (logs + metrics)","description":"AWS API Gateway logs and metrics","readme":"# API Gateway\r\n\r\nReference: https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-metrics-and-dimensions.html\r\n\r\nThis dashboard monitors rates (count and errors) and latencies.\r\n\r\n![ApiGateway Dashboard](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/apigateway/apigateway_dashboard.png)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2024-03-28T10:11:54.000Z","updatedAt":"2025-01-07T16:10:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20796"},{"rel":"revisions","href":"/dashboards/20796/revisions"},{"rel":"revision","href":"/dashboards/20796/revisions/5"},{"rel":"download","href":"/dashboards/20796/revisions/5/download"},{"rel":"org","href":"/orgs/cboudereau"},{"rel":"images","href":"/dashboards/20796/images"},{"rel":"thumbnails","href":"/dashboards/20796/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":16347,"status":1,"statusCode":"active","orgId":528806,"orgSlug":"cloudquery","orgName":"cloudquery","slug":"aws-asset-inventory","downloads":643,"revisionId":25309,"revision":2,"name":"AWS Asset Inventory","description":"This  dashboard provides a high level view of all your resources across all accounts accounts and regions","readme":"# AWS Cloud Asset Inventory\r\n\r\nThis dashboard provides a high-level view of all your resources across all accounts and regions. It works with PostgreSQL as the storage layer and CloudQuery (https://github.com/cloudquery/cloudquery) as the ingestion layer. For a full step-by-step tutorial on how to set up and use this dashboard, follow along with our tutorial, [Building an AWS Cloud Asset Inventory](https://www.cloudquery.io/blog/building-cloud-asset-inventory-with-aws).\r\n\r\n## How to Install\r\n\r\n 1. Install [CloudQuery](https://www.cloudquery.io/docs/quickstart/) and fetch your resources.\r\n 2. [Follow the instructions for installing the view and dashboard here](https://www.cloudquery.io/blog/building-cloud-asset-inventory-with-aws).\r\n\r\n## GitHub\r\n\r\nFeel free to contribute or open an [issue](https://github.com/cloudquery/cloudquery)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2022-05-30T06:32:05.000Z","updatedAt":"2024-08-29T18:45:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16347"},{"rel":"revisions","href":"/dashboards/16347/revisions"},{"rel":"revision","href":"/dashboards/16347/revisions/2"},{"rel":"download","href":"/dashboards/16347/revisions/2/download"},{"rel":"org","href":"/orgs/cloudquery"},{"rel":"images","href":"/dashboards/16347/images"},{"rel":"thumbnails","href":"/dashboards/16347/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":21658,"status":1,"statusCode":"active","orgId":1175007,"orgSlug":"mkhsanjay1997","orgName":"mkhsanjay1997","slug":"athena-cost-and-usage-report-copy-copy","downloads":488,"revisionId":33881,"revision":1,"name":"AWS Athena Cost and Usage Report ","description":"AWS Billing Dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch, Amazon Athena","privacy":"public","createdAt":"2024-08-08T07:38:22.000Z","updatedAt":"2024-08-08T07:39:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21658"},{"rel":"revisions","href":"/dashboards/21658/revisions"},{"rel":"revision","href":"/dashboards/21658/revisions/1"},{"rel":"download","href":"/dashboards/21658/revisions/1/download"},{"rel":"org","href":"/orgs/mkhsanjay1997"},{"rel":"images","href":"/dashboards/21658/images"},{"rel":"thumbnails","href":"/dashboards/21658/thumbnails"}],"datasourceSlugs":["cloudwatch","grafana-athena-datasource"]},{"id":24094,"status":1,"statusCode":"active","orgId":285936,"orgSlug":"arnaudlemaignen","orgName":"arnaudlemaignen","slug":"aws-athena-performances","downloads":129,"revisionId":38443,"revision":1,"name":"AWS Athena Performances","description":"Amazon Athena is an interactive query service that makes it simple to analyze data directly in Amazon S3 using standard SQL","readme":"### [AWS Athena Performances](https://github.com/arnaudlemaignen/grafana-dashboards/tree/master/cloudwatch-ds/aws-athena-performances)\r\n\r\nAmazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon Simple Storage Service (Amazon S3) using standard SQL.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2025-09-18T23:15:12.000Z","updatedAt":"2025-09-19T22:17:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24094"},{"rel":"revisions","href":"/dashboards/24094/revisions"},{"rel":"revision","href":"/dashboards/24094/revisions/1"},{"rel":"download","href":"/dashboards/24094/revisions/1/download"},{"rel":"org","href":"/orgs/arnaudlemaignen"},{"rel":"images","href":"/dashboards/24094/images"},{"rel":"thumbnails","href":"/dashboards/24094/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":677,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-auto-scaling","downloads":68650,"revisionId":35501,"revision":5,"name":"AWS Auto Scaling","description":"Visualize AWS Auto Scaling metrics","readme":"## AWS Auto Scaling\r\n\r\nVisualize AWS Auto Scaling metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / 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Enable Carbon Data Exports to S3**\r\n- Navigate to the Billing and Cost Management console.\r\n- In the left sidebar, select Data Exports.\r\n- Click Create and choose Carbon emissions as the data table.\r\n- Configure the Export:\r\n- - ***Export name:*** e.g., carbon_emissions_monthly.\r\n- - ***S3 bucket:*** Choose an existing bucket or create a new one.\r\n- - ***Format:*** Select Parquet. (It’s much faster and cheaper to query in Athena than CSV).\r\n- - ***Compression:*** Snappy.\r\n- - ***Versioning:*** Select \"Overwrite existing data export file\" if you want a clean \"latest\" state, or \"Create new export version\" for historical tracking.\r\n\r\n***[!IMPORTANT]*** **The 3-Month Lag:** AWS carbon data is updated monthly but typically has a 3-month delay (e.g., in June, you'll see data for March). Your Grafana dashboard will look empty if you filter for \"Last 7 days.\"\r\n\r\n***2. Set Up the Athena Table***\r\nOnce the first export lands in S3 (this can take up to 24 hours), you need to tell Athena how to read it.\r\n\r\nAWS provides a schema for this, but the easiest way is to use an AWS Glue Crawler pointed at your S3 export path. Alternatively, you can run a manual CREATE TABLE script in the Athena console.\r\n\r\nPro-Tip: If you use the Glue Crawler, it will automatically handle the partitions (like ```usage_period=2025-01```) that AWS creates.\r\n\r\n***3. Connect Grafana to Athena***\r\nUse the Athena Datasource Plugin for Grafana, the setup is straightforward:\r\n\r\n- ***IAM Permissions:*** Ensure the IAM role/user Grafana is using has:\r\n- - ```athena:StartQueryExecution```\r\n- - ```s3:GetObject``` (on your Carbon export bucket)\r\n- - ```glue:GetTable``` / ```glue:GetPartitions```\r\n- ***Configure Datasource:*** In Grafana, point to your Athena workgroup and the database where you created the carbon table.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Amazon Athena","privacy":"public","createdAt":"2026-02-12T13:41:43.000Z","updatedAt":"2026-02-16T17:52:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24863"},{"rel":"revisions","href":"/dashboards/24863/revisions"},{"rel":"revision","href":"/dashboards/24863/revisions/1"},{"rel":"download","href":"/dashboards/24863/revisions/1/download"},{"rel":"org","href":"/orgs/bhozar"},{"rel":"images","href":"/dashboards/24863/images"},{"rel":"thumbnails","href":"/dashboards/24863/thumbnails"}],"datasourceSlugs":["grafana-athena-datasource"]},{"id":14189,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-certificate-manager","downloads":332505,"revisionId":35525,"revision":5,"name":"AWS Certificate Manager","description":"Visualize AWS Certificate Manager metrics","readme":"## AWS Certificate Manager\r\n\r\nVisualize AWS Certificate Manager metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[https://grafana.com/docs/grafana/latest/datasources/cloudwatch/](https://grafana.com/docs/grafana/latest/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2021-04-06T13:36:07.000Z","updatedAt":"2024-12-24T13:51:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14189"},{"rel":"revisions","href":"/dashboards/14189/revisions"},{"rel":"revision","href":"/dashboards/14189/revisions/5"},{"rel":"download","href":"/dashboards/14189/revisions/5/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/14189/images"},{"rel":"thumbnails","href":"/dashboards/14189/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":674,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-cloudfront","downloads":210793,"revisionId":35526,"revision":7,"name":"AWS CloudFront","description":"Visualize AWS CloudFront metrics","readme":"## AWS CloudFront\r\n\r\nVisualize AWS CloudFront metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2016-10-17T20:34:10.000Z","updatedAt":"2024-12-24T13:52:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/674"},{"rel":"revisions","href":"/dashboards/674/revisions"},{"rel":"revision","href":"/dashboards/674/revisions/7"},{"rel":"download","href":"/dashboards/674/revisions/7/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/674/images"},{"rel":"thumbnails","href":"/dashboards/674/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":11648,"status":1,"statusCode":"active","orgId":341340,"orgSlug":"guy2","orgName":"guy2","slug":"aws-cloudwatch-browser","downloads":378,"revisionId":16415,"revision":1,"name":"AWS Cloudwatch Browser","description":"Browse and visualize available AWS Cloudwatch metrics and filters","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2020-01-27T14:33:46.000Z","updatedAt":"2020-01-27T14:34:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11648"},{"rel":"revisions","href":"/dashboards/11648/revisions"},{"rel":"revision","href":"/dashboards/11648/revisions/1"},{"rel":"download","href":"/dashboards/11648/revisions/1/download"},{"rel":"org","href":"/orgs/guy2"},{"rel":"images","href":"/dashboards/11648/images"},{"rel":"thumbnails","href":"/dashboards/11648/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":11649,"status":1,"statusCode":"active","orgId":332993,"orgSlug":"scalez","orgName":"scalez","slug":"aws-cloudwatch-browser","downloads":434,"revisionId":16416,"revision":1,"name":"AWS Cloudwatch Browser","description":"Browse and visualize available AWS Cloudwatch metrics and filters","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2020-01-27T14:35:04.000Z","updatedAt":"2020-01-27T14:35:13.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11649"},{"rel":"revisions","href":"/dashboards/11649/revisions"},{"rel":"revision","href":"/dashboards/11649/revisions/1"},{"rel":"download","href":"/dashboards/11649/revisions/1/download"},{"rel":"org","href":"/orgs/scalez"},{"rel":"images","href":"/dashboards/11649/images"},{"rel":"thumbnails","href":"/dashboards/11649/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":11905,"status":1,"statusCode":"active","orgId":360360,"orgSlug":"tjfeneran","orgName":"tjfeneran","slug":"aws-cloudwatch-browser","downloads":309,"revisionId":16891,"revision":1,"name":"AWS Cloudwatch Browser","description":"Browse and visualize available AWS Cloudwatch metrics and filters","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2020-03-14T20:53:45.000Z","updatedAt":"2020-03-14T20:54:02.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11905"},{"rel":"revisions","href":"/dashboards/11905/revisions"},{"rel":"revision","href":"/dashboards/11905/revisions/1"},{"rel":"download","href":"/dashboards/11905/revisions/1/download"},{"rel":"org","href":"/orgs/tjfeneran"},{"rel":"images","href":"/dashboards/11905/images"},{"rel":"thumbnails","href":"/dashboards/11905/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":14024,"status":1,"statusCode":"active","orgId":351200,"orgSlug":"marcusleopoldo","orgName":"marcusleopoldo","slug":"aws-cloudwatch-browser","downloads":430,"revisionId":20558,"revision":1,"name":"AWS Cloudwatch Browser","description":"Browse and visualize available AWS Cloudwatch metrics and filters","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2021-03-08T22:49:12.000Z","updatedAt":"2021-03-08T22:49:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14024"},{"rel":"revisions","href":"/dashboards/14024/revisions"},{"rel":"revision","href":"/dashboards/14024/revisions/1"},{"rel":"download","href":"/dashboards/14024/revisions/1/download"},{"rel":"org","href":"/orgs/marcusleopoldo"},{"rel":"images","href":"/dashboards/14024/images"},{"rel":"thumbnails","href":"/dashboards/14024/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":758,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-cloudwatch-logs","downloads":255177,"revisionId":35547,"revision":6,"name":"AWS CloudWatch Logs","description":"Visualize AWS CloudWatch logs metrics","readme":"## AWS CloudWatch Logs\r\n\r\nBrowse and visualize available AWS CloudWatch Logs metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2016-10-25T19:43:04.000Z","updatedAt":"2024-12-25T16:36:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/758"},{"rel":"revisions","href":"/dashboards/758/revisions"},{"rel":"revision","href":"/dashboards/758/revisions/6"},{"rel":"download","href":"/dashboards/758/revisions/6/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/758/images"},{"rel":"thumbnails","href":"/dashboards/758/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":11067,"status":1,"statusCode":"active","orgId":307571,"orgSlug":"kamesz","orgName":"kamesz","slug":"aws-cloudwatch-logs","downloads":562,"revisionId":15471,"revision":1,"name":"AWS CloudWatch Logs","description":"Visualize AWS CloudWatch logs metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2019-11-01T08:39:17.000Z","updatedAt":"2019-11-01T08:41:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11067"},{"rel":"revisions","href":"/dashboards/11067/revisions"},{"rel":"revision","href":"/dashboards/11067/revisions/1"},{"rel":"download","href":"/dashboards/11067/revisions/1/download"},{"rel":"org","href":"/orgs/kamesz"},{"rel":"images","href":"/dashboards/11067/images"},{"rel":"thumbnails","href":"/dashboards/11067/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":13892,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-cloudwatch-synthetics","downloads":8766,"revisionId":35527,"revision":4,"name":"AWS CloudWatch Synthetics","description":"Visualize AWS CloudWatch Synthetics metrics","readme":"## AWS CloudWatch Synthetics\r\n\r\nVisualize AWS CloudWatch Synthetics metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2021-02-16T18:07:06.000Z","updatedAt":"2024-12-24T13:54:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13892"},{"rel":"revisions","href":"/dashboards/13892/revisions"},{"rel":"revision","href":"/dashboards/13892/revisions/4"},{"rel":"download","href":"/dashboards/13892/revisions/4/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/13892/images"},{"rel":"thumbnails","href":"/dashboards/13892/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":12979,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-cloudwatch-usage-metrics","downloads":111128,"revisionId":35528,"revision":6,"name":"AWS CloudWatch Usage Metrics","description":"Browse and visualize available AWS CloudWatch Usage Metrics","readme":"## AWS CloudWatch Browser\r\n\r\nBrowse and visualize available AWS CloudWatch Usage Metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2020-09-08T22:47:21.000Z","updatedAt":"2024-12-24T13:56:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12979"},{"rel":"revisions","href":"/dashboards/12979/revisions"},{"rel":"revision","href":"/dashboards/12979/revisions/6"},{"rel":"download","href":"/dashboards/12979/revisions/6/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/12979/images"},{"rel":"thumbnails","href":"/dashboards/12979/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":16032,"status":1,"statusCode":"active","orgId":26755,"orgSlug":"ndegory","orgName":"ndegory","slug":"aws-cni-metrics","downloads":13146260,"revisionId":24324,"revision":1,"name":"AWS CNI Metrics","description":"USE (Utilization Saturation Errors) metrics dashboards for troubleshooting pod IP management in EKS","readme":"The AWS VPC CNI, found on EKS, exposes metrics that can be collected in Prometheus. This is not the case by default, AWS favoring CloudWatch, so you'll have to add a podMonitor matching the aws-node daemonset:\r\n```\r\napiVersion: monitoring.coreos.com/v1\r\nkind: PodMonitor\r\nmetadata:\r\n  name: aws-cni-metrics\r\n  namespace: kube-system\r\nspec:\r\n  jobLabel: k8s-app\r\n  namespaceSelector:\r\n    matchNames:\r\n    - kube-system\r\n  podMetricsEndpoints:\r\n  - interval: 30s\r\n    path: /metrics\r\n    port: metrics\r\n  selector:\r\n    matchLabels:\r\n      k8s-app: aws-node\r\n```\r\nThe dashboard displays\r\n- the ENI / IP usage (saturation of IPs in the allocated ENIs, saturation of ENI on the nodes),\r\n- the latency related to the different AWS API calls\r\n- the errors on the API calls and the IPAM operations ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-03-31T23:59:08.000Z","updatedAt":"2022-04-01T03:48:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/16032"},{"rel":"revisions","href":"/dashboards/16032/revisions"},{"rel":"revision","href":"/dashboards/16032/revisions/1"},{"rel":"download","href":"/dashboards/16032/revisions/1/download"},{"rel":"org","href":"/orgs/ndegory"},{"rel":"images","href":"/dashboards/16032/images"},{"rel":"thumbnails","href":"/dashboards/16032/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11155,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-codebuild","downloads":43669,"revisionId":35529,"revision":6,"name":"AWS CodeBuild","description":"Visualize AWS CodeBuild metrics","readme":"## AWS CodeBuild\r\n\r\nVisualize AWS CodeBuild metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2019-11-09T18:28:13.000Z","updatedAt":"2024-12-24T13:57:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11155"},{"rel":"revisions","href":"/dashboards/11155/revisions"},{"rel":"revision","href":"/dashboards/11155/revisions/6"},{"rel":"download","href":"/dashboards/11155/revisions/6/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/11155/images"},{"rel":"thumbnails","href":"/dashboards/11155/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":13104,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-cognito","downloads":7466,"revisionId":35530,"revision":4,"name":"AWS Cognito","description":"Visualize AWS Cognito metrics","readme":"## AWS Cognito\r\n\r\nVisualize AWS Cognito metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2020-10-04T09:20:44.000Z","updatedAt":"2024-12-24T13:59:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13104"},{"rel":"revisions","href":"/dashboards/13104/revisions"},{"rel":"revision","href":"/dashboards/13104/revisions/4"},{"rel":"download","href":"/dashboards/13104/revisions/4/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/13104/images"},{"rel":"thumbnails","href":"/dashboards/13104/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":21814,"status":1,"statusCode":"active","orgId":1001165,"orgSlug":"solutionarchitect101","orgName":"solutionarchitect101","slug":"aws-configuration-management","downloads":356,"revisionId":34539,"revision":2,"name":"AWS Configuration Management","description":"This is part of our 🚀AWS Native Cross-account Observability Dashboard!\r\n\r\nThe 🚀AWS Configuration Management provides deep insights into Identity and Access Management within a complex AWS environment using a multi-account strategy.","readme":"## Getting Started\r\n\r\n#### To get started with **the AWS Configuration Management**, please follow [**our project site's instructions**](https://github.com/Hideki-Morita/aws-native-observability-dashboard/) on GitHub.\r\n  \r\n---\r\n  \r\n#### Short descriptions\r\n\r\n|✅ Features||\r\n|---|---|\r\n|🟢**Cost and Usage Tracking:**   |Visualize your AWS Free Tier usage and associated costs to manage your cloud expenditure effectively.|\r\n|🔴**AWS Organizations Overview:**     |Monitor organizational units, accounts, policies, and access reports, enabling you to manage your AWS environment efficiently.|\r\n|🔴**AWS Identity Center Dashboard:**   |Visualize workforce user assignments, permission sets, and identity store details.|\r\n|🔴**IAM of Multi-Account AWS Environment:** |Gain detailed insights into IAM roles, policies, and user activities from all accounts to enhance security and compliance.|\r\n|**Centralized 🔴CloudWatch and 🔴CloudTrail Logs:** |Monitor and filter the latest AWS CloudTrail requests, including details from AWS Organizations, Identity Center, and IAM.|\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch, Business Input, 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Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch, InfluxDB","privacy":"public","createdAt":"2023-01-27T22:20:55.000Z","updatedAt":"2024-12-23T16:57:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17978"},{"rel":"revisions","href":"/dashboards/17978/revisions"},{"rel":"revision","href":"/dashboards/17978/revisions/3"},{"rel":"download","href":"/dashboards/17978/revisions/3/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/17978/images"},{"rel":"thumbnails","href":"/dashboards/17978/thumbnails"}],"datasourceSlugs":["cloudwatch","influxdb"]},{"id":22196,"status":1,"statusCode":"active","orgId":871634,"orgSlug":"dcnim94","orgName":"dcnim94","slug":"aws-documentdb","downloads":1281,"revisionId":37377,"revision":3,"name":"AWS DocumentDB","description":"AWS documentDB dashboard from cloudwatch 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DynamoDB metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2022-12-29T21:43:46.000Z","updatedAt":"2024-12-23T21:06:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17741"},{"rel":"revisions","href":"/dashboards/17741/revisions"},{"rel":"revision","href":"/dashboards/17741/revisions/3"},{"rel":"download","href":"/dashboards/17741/revisions/3/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/17741/images"},{"rel":"thumbnails","href":"/dashboards/17741/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":21974,"status":1,"statusCode":"active","orgId":952783,"orgSlug":"cboudereau","orgName":"cboudereau","slug":"aws-dynamodb-cloudwatch","downloads":3460525,"revisionId":35724,"revision":9,"name":"AWS DynamoDB CloudWatch","description":"AWS DynamoDB CloudWatch metrics","readme":"# DynamoDB\r\n\r\nReference: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Monitoring-metrics-with-Amazon-CloudWatch.html\r\n\r\nDynamoDB, Kinesis Data Streams, DynamoDB Streams metrics and Global Table metrics.\r\n\r\n![Header](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/dynamodb/0_Header.png)\r\n\r\n## Tables metrics\r\nA header graphs which display important metrics for all tables in the account (datasource)\r\n![Tables metrics](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/dynamodb/1_tables.png)\r\n\r\n## Table metrics\r\n\r\n### Errors / Throttles / Rates / Durations\r\n![Errors / Throttles / Rates / Durations metrics](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/dynamodb/2_table-0.png)\r\n\r\n### Table and Global Secondary Indexes Reads / Write\r\n![Table Reads / Write](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/dynamodb/3_table-1.png)\r\n![Global Secondary Indexes Reads / Write](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/dynamodb/4_table-2.png)\r\n\r\n## Account metrics\r\nDynamoDB is a SAAS product from AWS and comes with quotas and rate limiting.\r\n\r\n![Account metrics](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/dynamodb/5_account.png)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2024-09-26T11:38:44.000Z","updatedAt":"2025-01-08T17:02:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21974"},{"rel":"revisions","href":"/dashboards/21974/revisions"},{"rel":"revision","href":"/dashboards/21974/revisions/9"},{"rel":"download","href":"/dashboards/21974/revisions/9/download"},{"rel":"org","href":"/orgs/cboudereau"},{"rel":"images","href":"/dashboards/21974/images"},{"rel":"thumbnails","href":"/dashboards/21974/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":623,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-ebs","downloads":190432,"revisionId":35518,"revision":6,"name":"AWS 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Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch, InfluxDB","privacy":"public","createdAt":"2016-10-11T22:56:41.000Z","updatedAt":"2024-12-23T21:48:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/623"},{"rel":"revisions","href":"/dashboards/623/revisions"},{"rel":"revision","href":"/dashboards/623/revisions/6"},{"rel":"download","href":"/dashboards/623/revisions/6/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/623/images"},{"rel":"thumbnails","href":"/dashboards/623/thumbnails"}],"datasourceSlugs":["cloudwatch","influxdb"]},{"id":23674,"status":1,"statusCode":"active","orgId":1267909,"orgSlug":"iwansunaryaina","orgName":"iwansunaryaina","slug":"aws-ebs","downloads":198,"revisionId":37678,"revision":1,"name":"AWS EBS","description":"Visualize AWS EBS 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Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2016-10-11T22:27:58.000Z","updatedAt":"2024-12-24T13:47:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/617"},{"rel":"revisions","href":"/dashboards/617/revisions"},{"rel":"revision","href":"/dashboards/617/revisions/5"},{"rel":"download","href":"/dashboards/617/revisions/5/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/617/images"},{"rel":"thumbnails","href":"/dashboards/617/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":19454,"status":1,"statusCode":"active","orgId":936494,"orgSlug":"trailmapper","orgName":"trailmapper","slug":"aws-ec2","downloads":439,"revisionId":29829,"revision":1,"name":"AWS EC2","description":"Visualize AWS EC2 and related EBS 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v20221116","description":"AWS ECS fargate Template for cloudwatch_exporter by Alliot(www.iots.vip)","readme":"AWS ECS fargate Template for cloudwatch_exporter\r\ncloudwatch_exporter   && Grafana 9    by: Alliot (www.iots.vip)\r\n\r\n``` \r\njava -jar cloudwatch_exporter-0.15.1-jar-with-dependencies.jar 9016 config.yml\r\n```\r\n\r\n``` yml\r\nregion: ap-xxxx-1\r\nmetrics:\r\n- aws_dimensions:\r\n  - ClusterName\r\n  - ServiceName\r\n  aws_metric_name: CPUUtilization\r\n  aws_namespace: AWS/ECS\r\n  aws_statistics:\r\n  - Average\r\n- aws_dimensions:\r\n  - ClusterName\r\n  - ServiceName\r\n  aws_metric_name: MemoryUtilization\r\n  aws_namespace: AWS/ECS\r\n  aws_statistics:\r\n  - Average\r\n- aws_dimensions:\r\n  - ClusterName\r\n  aws_metric_name: GPUReservation\r\n  aws_namespace: AWS/ECS\r\n  aws_statistics:\r\n  - Average\r\n- aws_dimensions:\r\n  - ClusterName\r\n  aws_metric_name: CPUReservation\r\n  aws_namespace: AWS/ECS\r\n  aws_statistics:\r\n  - Average\r\n- aws_dimensions:\r\n  - ClusterName\r\n  aws_metric_name: MemoryReservation\r\n  aws_namespace: AWS/ECS\r\n  aws_statistics:\r\n  - Average\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-16T08:52:43.000Z","updatedAt":"2022-11-16T08:58:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17419"},{"rel":"revisions","href":"/dashboards/17419/revisions"},{"rel":"revision","href":"/dashboards/17419/revisions/1"},{"rel":"download","href":"/dashboards/17419/revisions/1/download"},{"rel":"org","href":"/orgs/alliottech"},{"rel":"images","href":"/dashboards/17419/images"},{"rel":"thumbnails","href":"/dashboards/17419/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":653,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-efs","downloads":158783,"revisionId":35533,"revision":5,"name":"AWS EFS","description":"Visualize AWS EFS metrics","readme":"## AWS EFS\r\n\r\nVisualize AWS EFS metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2016-10-15T07:34:14.000Z","updatedAt":"2024-12-24T17:11:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/653"},{"rel":"revisions","href":"/dashboards/653/revisions"},{"rel":"revision","href":"/dashboards/653/revisions/5"},{"rel":"download","href":"/dashboards/653/revisions/5/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/653/images"},{"rel":"thumbnails","href":"/dashboards/653/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":14392,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-eks-and-kubernetes-container-insights","downloads":9914,"revisionId":35535,"revision":3,"name":"AWS EKS and Kubernetes Container Insights","description":"Visualize AWS EKS and Kubernetes Container Insights metrics","readme":"## AWS AWS EKS and Kubernetes Container Insights\r\n\r\nVisualize AWS EKS and Kubernetes Container Insights metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[https://grafana.com/docs/grafana/latest/datasources/cloudwatch/](https://grafana.com/docs/grafana/latest/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2021-05-08T12:43:54.000Z","updatedAt":"2024-12-27T16:48:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14392"},{"rel":"revisions","href":"/dashboards/14392/revisions"},{"rel":"revision","href":"/dashboards/14392/revisions/3"},{"rel":"download","href":"/dashboards/14392/revisions/3/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/14392/images"},{"rel":"thumbnails","href":"/dashboards/14392/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":16028,"status":1,"statusCode":"active","orgId":623928,"orgSlug":"michaeltan","orgName":"michaeltan","slug":"aws-eks-and-kubernetes-container-insights","downloads":14131,"revisionId":24316,"revision":1,"name":"AWS EKS and Kubernetes Container Insights","description":"Visualize AWS EKS and Kubernetes Container Insights metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2022-03-31T03:48:24.000Z","updatedAt":"2022-03-31T03:48:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16028"},{"rel":"revisions","href":"/dashboards/16028/revisions"},{"rel":"revision","href":"/dashboards/16028/revisions/1"},{"rel":"download","href":"/dashboards/16028/revisions/1/download"},{"rel":"org","href":"/orgs/michaeltan"},{"rel":"images","href":"/dashboards/16028/images"},{"rel":"thumbnails","href":"/dashboards/16028/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":24455,"status":1,"statusCode":"active","orgId":703017,"orgSlug":"rishang","orgName":"rishang","slug":"cloudwatch-logs","downloads":160,"revisionId":39217,"revision":7,"name":"AWS EKS Cloudwatch Logs","description":"AWS EKS CloudWatch Logs dashboard with Kubernetes namespace and container filtering. Shows log histogram and detailed log viewer.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch, Prometheus","privacy":"public","createdAt":"2025-11-23T13:42:31.000Z","updatedAt":"2025-12-09T16:51:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24455"},{"rel":"revisions","href":"/dashboards/24455/revisions"},{"rel":"revision","href":"/dashboards/24455/revisions/7"},{"rel":"download","href":"/dashboards/24455/revisions/7/download"},{"rel":"org","href":"/orgs/rishang"},{"rel":"images","href":"/dashboards/24455/images"},{"rel":"thumbnails","href":"/dashboards/24455/thumbnails"}],"datasourceSlugs":["cloudwatch","prometheus"]},{"id":19553,"status":1,"statusCode":"active","orgId":739453,"orgSlug":"boreddevops","orgName":"boreddevops","slug":"aws-elasticache","downloads":6091,"revisionId":29999,"revision":1,"name":"AWS ElastiCache","description":"AWS ElastiCache Redis dashboard with some tweaks and updates","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2023-09-13T16:09:56.000Z","updatedAt":"2023-09-13T16:10:17.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19553"},{"rel":"revisions","href":"/dashboards/19553/revisions"},{"rel":"revision","href":"/dashboards/19553/revisions/1"},{"rel":"download","href":"/dashboards/19553/revisions/1/download"},{"rel":"org","href":"/orgs/boreddevops"},{"rel":"images","href":"/dashboards/19553/images"},{"rel":"thumbnails","href":"/dashboards/19553/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":969,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-elasticache-redis","downloads":27769159,"revisionId":35534,"revision":6,"name":"AWS ElastiCache Redis","description":"Visualize AWS ElastiCache Redis metrics","readme":"## AWS ElastiCache Redis\r\n\r\nVisualize AWS ElastiCache Redis\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2016-11-28T22:53:19.000Z","updatedAt":"2024-12-24T17:50:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/969"},{"rel":"revisions","href":"/dashboards/969/revisions"},{"rel":"revision","href":"/dashboards/969/revisions/6"},{"rel":"download","href":"/dashboards/969/revisions/6/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/969/images"},{"rel":"thumbnails","href":"/dashboards/969/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":24103,"status":1,"statusCode":"active","orgId":285936,"orgSlug":"arnaudlemaignen","orgName":"arnaudlemaignen","slug":"aws-elasticache-redis","downloads":2528,"revisionId":38455,"revision":1,"name":"AWS ElastiCache Redis","description":"Visualize AWS ElastiCache Redis metrics","readme":"### [AWS Elasticache Redis](https://github.com/arnaudlemaignen/grafana-dashboards/tree/master/cloudwatch-ds/aws-elasticache-redis)\r\n\r\nAmazon ElastiCache is a web service that makes it easy to set up, manage, and scale a distributed in-memory data store or cache environment in the cloud.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, CloudWatch","privacy":"public","createdAt":"2025-09-19T22:20:28.000Z","updatedAt":"2025-09-26T15:46:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24103"},{"rel":"revisions","href":"/dashboards/24103/revisions"},{"rel":"revision","href":"/dashboards/24103/revisions/1"},{"rel":"download","href":"/dashboards/24103/revisions/1/download"},{"rel":"org","href":"/orgs/arnaudlemaignen"},{"rel":"images","href":"/dashboards/24103/images"},{"rel":"thumbnails","href":"/dashboards/24103/thumbnails"}],"datasourceSlugs":["__expr__","cloudwatch"]},{"id":21620,"status":1,"statusCode":"active","orgId":1185801,"orgSlug":"nesty","orgName":"nesty","slug":"aws-elasticache-redis","downloads":669,"revisionId":34261,"revision":2,"name":"AWS ElastiCache Redis","description":"Visualize AWS ElastiCache Redis metrics","readme":"This performance monitoring dashboard is designed to provide real-time insights into system performance metrics, such as CPU utilization, cache performance, memory usage, and more. The dashboard is equipped with various visualizations to help users understand and analyze the system's behavior efficiently.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2024-07-31T10:15:56.000Z","updatedAt":"2024-09-13T08:23:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21620"},{"rel":"revisions","href":"/dashboards/21620/revisions"},{"rel":"revision","href":"/dashboards/21620/revisions/2"},{"rel":"download","href":"/dashboards/21620/revisions/2/download"},{"rel":"org","href":"/orgs/nesty"},{"rel":"images","href":"/dashboards/21620/images"},{"rel":"thumbnails","href":"/dashboards/21620/thumbnails"}]},{"id":11655,"status":1,"statusCode":"active","orgId":341764,"orgSlug":"ran2806","orgName":"Ranjan Gajbhiye","slug":"aws-elasticsearch2","downloads":26340,"revisionId":16424,"revision":1,"name":"AWS Elasticsearch","description":"AWS Elasticsearch dashboard let's you visualize Amazon Elasticsearch cluster health, latency, indexing rate, free storage and more.","readme":"Amazon Elasticsearch is the Elasticsearch service delivered through Amazon Web Services.  Elasticsearch is made by Elastic and is an open source search engine based on Lucene. It's strengths are distributed, multitenant text search with an HTTP interface and schema-free (based on JSON) documents.\n\nThis dashboard provides a range of metrics to understand the health of AWS ES including cluster status, connection status, total nodes, free storage space, Kibana status, searchable and deleted documents, indexing rate, latency and more.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2020-01-28T12:17:58.000Z","updatedAt":"2020-04-10T22:58:25.000Z","isEditor":false,"hasLogo":false,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11655"},{"rel":"revisions","href":"/dashboards/11655/revisions"},{"rel":"revision","href":"/dashboards/11655/revisions/1"},{"rel":"download","href":"/dashboards/11655/revisions/1/download"},{"rel":"org","href":"/orgs/ran2806"},{"rel":"images","href":"/dashboards/11655/images"},{"rel":"thumbnails","href":"/dashboards/11655/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":12788,"status":1,"statusCode":"active","orgId":346438,"orgSlug":"reggora","orgName":"reggora","slug":"aws-elasticsearch","downloads":326,"revisionId":18412,"revision":1,"name":"AWS Elasticsearch","description":"AWS Elasticsearch dashboard let's you visualize Amazon Elasticsearch cluster health, latency, indexing rate, free storage and more.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2020-08-06T14:47:58.000Z","updatedAt":"2020-08-06T14:48:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12788"},{"rel":"revisions","href":"/dashboards/12788/revisions"},{"rel":"revision","href":"/dashboards/12788/revisions/1"},{"rel":"download","href":"/dashboards/12788/revisions/1/download"},{"rel":"org","href":"/orgs/reggora"},{"rel":"images","href":"/dashboards/12788/images"},{"rel":"thumbnails","href":"/dashboards/12788/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":650,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-elb-application-load-balancer","downloads":3282300,"revisionId":35539,"revision":9,"name":"AWS ELB Application Load Balancer","description":"Visualize AWS ELB Application Load Balancer metrics","readme":"## AWS ELB Application Load Balancer\r\n\r\nVisualize AWS ELB Application Load Balancer metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2016-10-15T06:10:50.000Z","updatedAt":"2024-12-25T13:39:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/650"},{"rel":"revisions","href":"/dashboards/650/revisions"},{"rel":"revision","href":"/dashboards/650/revisions/9"},{"rel":"download","href":"/dashboards/650/revisions/9/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/650/images"},{"rel":"thumbnails","href":"/dashboards/650/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":14507,"status":1,"statusCode":"active","orgId":261260,"orgSlug":"efr0lok","orgName":"efr0lok","slug":"aws-elb-application-load-balancer-fixed","downloads":4495,"revisionId":21471,"revision":1,"name":"AWS ELB Application Load Balancer - fixed","description":"Visualize AWS ELB Application Load Balancer metrics","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2021-05-28T12:34:57.000Z","updatedAt":"2021-05-28T12:36:06.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14507"},{"rel":"revisions","href":"/dashboards/14507/revisions"},{"rel":"revision","href":"/dashboards/14507/revisions/1"},{"rel":"download","href":"/dashboards/14507/revisions/1/download"},{"rel":"org","href":"/orgs/efr0lok"},{"rel":"images","href":"/dashboards/14507/images"},{"rel":"thumbnails","href":"/dashboards/14507/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":16071,"status":1,"statusCode":"active","orgId":627699,"orgSlug":"tekbot","orgName":"tekbot","slug":"aws-elb-application-load-balancer-by-target-group","downloads":5636243,"revisionId":24385,"revision":1,"name":"AWS ELB Application Load Balancer by Target Group","description":"Visualize AWS ELB Application Load Balancer and Target Group metrics","readme":"This dashboard was modified from the most recent AWS Application Load Balancer dashboard currently available on the Grafana dashboards download page (ID:650) provided by the folks at monitoringartist.  For our purposes, we also required Target Group specific metrics and I couldn't find a freely available dashboard that did this for us.\r\n\r\nNo collector is necessary.  You simply need to have a valid, authenticated CloudWatch data source and at least one Application Load Balancer and associated TargetGroup.\r\n\r\nBecause TargetGroup CloudWatch metrics *must* be queried alongside their associated Application ELB, the $targetgroup variable is dependent upon the currently selected LoadBalancer ($loadbalancername).  As such, only applicable Target Groups are displayed in the Target Group drop down, and they are updated when the user selects a different Load Balancer.\r\n\r\nThe gauges across the top are all Application ELB specific and have been added to the initial ELB template from which I started.  The first three (Healthy and Unhealthy Hosts, Avg TargetResponseTime) are specific to the selected TargetGroup, whereas the fourth (Avg TargetConnectionErrors) is specific to the selected ELB.  \r\n\r\nThe subsequent section of charts (ELB and TargetGroup Metrics) are two views of the same metrics; the chart on the left global to the selected ELB and the corresponding chart to the right the selected TargetGroup.  The queried metric was changed where necessary (the 3xx, 4xx and 5xx metric names change from ELB to TargetGroup).\r\n\r\nThe final section (ELB Only Metrics) were existing charts in the source template (ID:650) which do not have corresponding TargetGroup Metrics.  Some slight re-ordering was done to keep charts that were NaN/null for us at the bottom of the screen.  If you use IPv6, good for you!  Drag the charts around and edit at will!\r\n\r\nThe only other change worth mentioning is the that I have changed the behavior for null data points such that they are treated as null (and not zero, as in the original template).  I would rather have an accurate point with no line, than a line between two valid datapoints that spans a period of nullness but implies values between.  You may not like this behavior.  In that case, I urge you to change it back!  You'll have a continuous graph, though it may be misleading.\r\n\r\nI hope you find this dashboard useful!  Thanks again to the folks at monitoring artist, the authors of the dashboard from which this one was built.\r\n\r\nNOTE: This dashboard is only very lightly tested and works very well for our environment and use-case.  Your mileage, as you might expect, may vary.\r\n\r\nNo commercial support is offered or should be expected for this dashboard.  ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2022-04-06T19:51:56.000Z","updatedAt":"2022-04-06T21:08:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16071"},{"rel":"revisions","href":"/dashboards/16071/revisions"},{"rel":"revision","href":"/dashboards/16071/revisions/1"},{"rel":"download","href":"/dashboards/16071/revisions/1/download"},{"rel":"org","href":"/orgs/tekbot"},{"rel":"images","href":"/dashboards/16071/images"},{"rel":"thumbnails","href":"/dashboards/16071/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":644,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-elb-classic-load-balancer","downloads":181826,"revisionId":35540,"revision":5,"name":"AWS ELB Classic Load Balancer","description":"Visualize AWS ELB Classic Load Balancer metrics","readme":"## AWS ELB Classic Load Balancer\r\n\r\nVisualize AWS ELB Classic Load Balancer metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2016-10-15T00:12:04.000Z","updatedAt":"2024-12-25T13:44:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/644"},{"rel":"revisions","href":"/dashboards/644/revisions"},{"rel":"revision","href":"/dashboards/644/revisions/5"},{"rel":"download","href":"/dashboards/644/revisions/5/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/644/images"},{"rel":"thumbnails","href":"/dashboards/644/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":607,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-emr-hadoop-2","downloads":90887,"revisionId":35541,"revision":5,"name":"AWS EMR Hadoop 2","description":"Visualize AWS  EMR Hadoop 2 metrics","readme":"## AWS EMR Hadoop 2\r\n\r\nVisualize AWS  EMR Hadoop 2 metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2016-10-10T22:13:47.000Z","updatedAt":"2024-12-25T13:57:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/607"},{"rel":"revisions","href":"/dashboards/607/revisions"},{"rel":"revision","href":"/dashboards/607/revisions/5"},{"rel":"download","href":"/dashboards/607/revisions/5/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/607/images"},{"rel":"thumbnails","href":"/dashboards/607/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":10838,"status":1,"statusCode":"active","orgId":286804,"orgSlug":"iblaine","orgName":"iblaine","slug":"aws-emr-hadoop-2","downloads":440,"revisionId":15155,"revision":1,"name":"AWS EMR Hadoop 2","description":"Visualize AWS  EMR Hadoop 2 metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2019-09-10T01:22:50.000Z","updatedAt":"2019-09-10T01:25:40.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10838"},{"rel":"revisions","href":"/dashboards/10838/revisions"},{"rel":"revision","href":"/dashboards/10838/revisions/1"},{"rel":"download","href":"/dashboards/10838/revisions/1/download"},{"rel":"org","href":"/orgs/iblaine"},{"rel":"images","href":"/dashboards/10838/images"},{"rel":"thumbnails","href":"/dashboards/10838/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":20216,"status":1,"statusCode":"active","orgId":1019169,"orgSlug":"ryandyer","orgName":"ryandyer","slug":"aws-ena-network-performance","downloads":688,"revisionId":31165,"revision":6,"name":"AWS ENA Network Performance","description":"A dashboard for monitoring AWS Elastic Network Adapter performance using the Prometheus Node exporter.  Updated from https://grafana.com/grafana/dashboards/17244","readme":"Monitoring AWS ENA metrics using metrics provided by Prometheus Node Exporter. For details on the ENA metrics see the AWS documentation: Monitor network performance for your EC2 instance.\r\n\r\nExporting the ENA metrics requires enabling the ethtool collector which is not enabled by default. Enable using the --collector.ethtool command-line argument to node_exporter. Also makes use of the netstat collector which is already enabled by default.","collectorType":"nodeExporter","collectorConfig":"Exporting the ENA metrics requires enabling the `ethtool` collector which is not enabled by default. Enable using the `--collector.ethtool` command-line argument. Also makes use of the `netstat` collector which is already enabled by default.","collectorPluginList":"Other, netstat","datasource":null,"privacy":"public","createdAt":"2023-12-27T21:11:38.000Z","updatedAt":"2024-01-03T14:54:04.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20216"},{"rel":"revisions","href":"/dashboards/20216/revisions"},{"rel":"revision","href":"/dashboards/20216/revisions/6"},{"rel":"download","href":"/dashboards/20216/revisions/6/download"},{"rel":"org","href":"/orgs/ryandyer"},{"rel":"images","href":"/dashboards/20216/images"},{"rel":"thumbnails","href":"/dashboards/20216/thumbnails"}]},{"id":13972,"status":1,"statusCode":"active","orgId":432845,"orgSlug":"garysdevil","orgName":"garysdevil","slug":"aws-es","downloads":1772,"revisionId":20509,"revision":5,"name":"AWS ES","description":"","readme":"1. Grafana version >= 7\n2. exporter https://github.com/prometheus/cloudwatch_exporter\n3. exporter config\n```yaml\n---\nregion: us-east-1\ndelay_seconds: 60\nmetrics:\n# ES集群运行状态\n  # 集群状态\n  - aws_namespace: AWS/ES\n    aws_metric_name: ClusterStatus.green\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  - aws_namespace: AWS/ES\n    aws_metric_name: ClusterStatus.yellow\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  - aws_namespace: AWS/ES\n    aws_metric_name: ClusterStatus.red\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 集群写入状态\n  - aws_namespace: AWS/ES\n    aws_metric_name: ClusterIndexWritesBlocked\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 主实例连接状态\n  - aws_namespace: AWS/ES\n    aws_metric_name: MasterReachableFromNode\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 快照失败状态\n  - aws_namespace: AWS/ES\n    aws_metric_name: AutomatedSnapshotFailure\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 节点总数\n  - aws_namespace: AWS/ES\n    aws_metric_name: Nodes\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 存储空间\n  - aws_namespace: AWS/ES\n    aws_metric_name: FreeStorageSpace\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Minimum,Sum]\n  # Kibana运行状况\n  - aws_namespace: AWS/ES\n    aws_metric_name: KibanaHealthyNodes\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 已删除文档数量\n  - aws_namespace: AWS/ES\n    aws_metric_name: DeletedDocuments\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 可搜索文档数量\n  - aws_namespace: AWS/ES\n    aws_metric_name: SearchableDocuments\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n# 关键性能指标\n  # 索引速率 /min\n  - aws_namespace: AWS/ES\n    aws_metric_name: IndexingRate\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 搜索查询速率 /min\n  - aws_namespace: AWS/ES\n    aws_metric_name: SearchRate\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 索引延迟 s\n  - aws_namespace: AWS/ES\n    aws_metric_name: IndexingLatency\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 搜索查询延迟 s\n  - aws_namespace: AWS/ES\n    aws_metric_name: SearchLatency\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 请求响应\n  - aws_namespace: AWS/ES\n    aws_metric_name: 2xx\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  - aws_namespace: AWS/ES\n    aws_metric_name: 3xx\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  - aws_namespace: AWS/ES\n    aws_metric_name: 4xx\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  - aws_namespace: AWS/ES\n    aws_metric_name: 5xx\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 无效主机标头请求数量\n  - aws_namespace: AWS/ES\n    aws_metric_name: InvalidHostHeaderRequests\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 请求数量\n  - aws_namespace: AWS/ES\n    aws_metric_name: ElasticsearchRequests\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n# 专用主节点(非必须)\n  # CPU利用率\n  - aws_namespace: AWS/ES\n    aws_metric_name: MasterCPUUtilization\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # JVM 内存压力 \n  - aws_namespace: AWS/ES\n    aws_metric_name: MasterJVMMemoryPressure\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n# 数据节点\n  # 最大CPU利用率\n  - aws_namespace: AWS/ES\n    aws_metric_name: CPUUtilization\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Maximum]\n  # 最大 JVM 内存压力 \n  - aws_namespace: AWS/ES\n    aws_metric_name: JVMMemoryPressure\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Maximum]\n  # 最小可用存储空间\n  - aws_namespace: AWS/ES\n    aws_metric_name: FreeStorageSpace\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Minimum]\n  # 最大内存利用率\n  - aws_namespace: AWS/ES\n    aws_metric_name: SysMemoryUtilization\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Maximum]\n# Elasticsearch JVM 垃圾回收\n  # 年轻代回收\n  - aws_namespace: AWS/ES\n    aws_metric_name: JVMGCYoungCollectionCount\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 年轻代回收时间\n  - aws_namespace: AWS/ES\n    aws_metric_name: JVMGCYoungCollectionTime\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 年老代回收\n  - aws_namespace: AWS/ES\n    aws_metric_name: JVMGCOldCollectionCount\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 年老代回收时间\n  - aws_namespace: AWS/ES\n    aws_metric_name: JVMGCOldCollectionTime\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n# Elasticsearch JVM 线程池\n  # 写入线程池\n  - aws_namespace: AWS/ES\n    aws_metric_name: ThreadpoolWriteThreads\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 索引线程池\n  - aws_namespace: AWS/ES\n    aws_metric_name: ThreadpoolIndexThreads\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 搜索线程池\n  - aws_namespace: AWS/ES\n    aws_metric_name: ThreadpoolSearchThreads\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 合并线程池\n  - aws_namespace: AWS/ES\n    aws_metric_name: ThreadpoolForce_mergeThreads\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n# 跨集群搜索连接\n  # 跨集群入站请求\n  - aws_namespace: AWS/ES\n    aws_metric_name: CrossClusterInboundRequests\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 跨集群出站请求\n  - aws_namespace: AWS/ES\n    aws_metric_name: CrossClusterOutboundRequests\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n  # 跨集群出站连接\n  - aws_namespace: AWS/ES\n    aws_metric_name: CrossClusterOutboundConnections\n    aws_dimensions: [DomainName, ClientId]\n    aws_statistics: [Average]\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB, Prometheus","privacy":"public","createdAt":"2021-02-26T03:56:57.000Z","updatedAt":"2021-03-02T12:11:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13972"},{"rel":"revisions","href":"/dashboards/13972/revisions"},{"rel":"revision","href":"/dashboards/13972/revisions/5"},{"rel":"download","href":"/dashboards/13972/revisions/5/download"},{"rel":"org","href":"/orgs/garysdevil"},{"rel":"images","href":"/dashboards/13972/images"},{"rel":"thumbnails","href":"/dashboards/13972/thumbnails"}],"datasourceSlugs":["influxdb","prometheus"]},{"id":659,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-eventbridge","downloads":64405,"revisionId":35542,"revision":8,"name":"AWS EventBridge","description":"Visualize AWS EventBridge metrics","readme":"## AWS EvenBridge\r\n\r\nVisualize AWS EventBridge metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2016-10-15T22:41:11.000Z","updatedAt":"2024-12-25T14:28:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/659"},{"rel":"revisions","href":"/dashboards/659/revisions"},{"rel":"revision","href":"/dashboards/659/revisions/8"},{"rel":"download","href":"/dashboards/659/revisions/8/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/659/images"},{"rel":"thumbnails","href":"/dashboards/659/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":20007,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-fsx","downloads":439,"revisionId":30755,"revision":1,"name":"AWS FSx","description":"Visualize AWS FSx metrics","readme":"## AWS FSx\r\n\r\nVisualize AWS FSx metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[https://grafana.com/docs/grafana/latest/datasources/cloudwatch/](https://grafana.com/docs/grafana/latest/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2023-11-19T21:01:34.000Z","updatedAt":"2023-11-19T21:14:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20007"},{"rel":"revisions","href":"/dashboards/20007/revisions"},{"rel":"revision","href":"/dashboards/20007/revisions/1"},{"rel":"download","href":"/dashboards/20007/revisions/1/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/20007/images"},{"rel":"thumbnails","href":"/dashboards/20007/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":24104,"status":1,"statusCode":"active","orgId":285936,"orgSlug":"arnaudlemaignen","orgName":"arnaudlemaignen","slug":"aws-fsx","downloads":115,"revisionId":38456,"revision":1,"name":"AWS FSx","description":"Visualize Amazon FSx metrics","readme":"### [AWS FSx](https://github.com/arnaudlemaignen/grafana-dashboards/tree/master/cloudwatch-ds/aws-fsx)\r\n\r\nAmazon FSx makes it easy and cost effective to launch, run, and scale feature-rich, high-performance file systems in the cloud.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, CloudWatch","privacy":"public","createdAt":"2025-09-19T22:24:03.000Z","updatedAt":"2025-09-26T15:47:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24104"},{"rel":"revisions","href":"/dashboards/24104/revisions"},{"rel":"revision","href":"/dashboards/24104/revisions/1"},{"rel":"download","href":"/dashboards/24104/revisions/1/download"},{"rel":"org","href":"/orgs/arnaudlemaignen"},{"rel":"images","href":"/dashboards/24104/images"},{"rel":"thumbnails","href":"/dashboards/24104/thumbnails"}],"datasourceSlugs":["__expr__","cloudwatch"]},{"id":24105,"status":1,"statusCode":"active","orgId":285936,"orgSlug":"arnaudlemaignen","orgName":"arnaudlemaignen","slug":"aws-glue","downloads":151,"revisionId":38457,"revision":1,"name":"AWS Glue","description":"Jobs metrics Grouped by all values","readme":"### [AWS Glue](https://github.com/arnaudlemaignen/grafana-dashboards/tree/master/cloudwatch-ds/aws-glue)\r\n\r\nAWS Glue is a serverless data integration service that makes it easy for analytics users to discover, prepare, move, and integrate data from multiple sources.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2025-09-19T22:25:18.000Z","updatedAt":"2025-09-26T15:47:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24105"},{"rel":"revisions","href":"/dashboards/24105/revisions"},{"rel":"revision","href":"/dashboards/24105/revisions/1"},{"rel":"download","href":"/dashboards/24105/revisions/1/download"},{"rel":"org","href":"/orgs/arnaudlemaignen"},{"rel":"images","href":"/dashboards/24105/images"},{"rel":"thumbnails","href":"/dashboards/24105/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":14391,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-inspector","downloads":36350,"revisionId":21249,"revision":2,"name":"AWS Inspector","description":"Visualize AWS Inspector metrics","readme":"## AWS Inspector\r\n\r\nVisualize AWS Inspector metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[https://grafana.com/docs/grafana/latest/datasources/cloudwatch/](https://grafana.com/docs/grafana/latest/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2021-05-08T10:42:05.000Z","updatedAt":"2021-05-08T10:45:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14391"},{"rel":"revisions","href":"/dashboards/14391/revisions"},{"rel":"revision","href":"/dashboards/14391/revisions/2"},{"rel":"download","href":"/dashboards/14391/revisions/2/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/14391/images"},{"rel":"thumbnails","href":"/dashboards/14391/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":24302,"status":1,"statusCode":"active","orgId":233073,"orgSlug":"shib4u","orgName":"shib4u","slug":"aws-inventory-dashboard","downloads":96,"revisionId":38868,"revision":2,"name":"AWS Inventory - Dashboard","description":"Build a real-time, queryable AWS inventory across accounts using CloudQuery, PostgreSQL, and Grafana.","readme":"First, set up Cloudquery with (source) AWS and store data in (destination) Postgres db - [https://docs.cloudquery.io/docs/getting-started](url)\r\n\r\nNext, use this Postgres datasource and import this dashboard to get valuable insights into your AWS account. Details of the setup can be found at this article https://medium.com/@shib4u/cloud-inventory-on-a-budget-i-built-a-multi-account-aws-asset-cmdb-using-cloudquery-postgresql-d4ee4cab203d\r\n\r\nWith CloudQuery feeding Postgres and Grafana, one can see a real-time, multi-account cloud CMDB entirely with open-source tools. There’s no vendor lock-in – all data lives in our database, and we can write SQL or dashboards as needed. The result supports FinOps (finding unused or idle resources), security (tracking public-facing assets), and governance (maintaining up-to-date inventory).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2025-10-28T06:08:48.000Z","updatedAt":"2025-11-03T08:52:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24302"},{"rel":"revisions","href":"/dashboards/24302/revisions"},{"rel":"revision","href":"/dashboards/24302/revisions/2"},{"rel":"download","href":"/dashboards/24302/revisions/2/download"},{"rel":"org","href":"/orgs/shib4u"},{"rel":"images","href":"/dashboards/24302/images"},{"rel":"thumbnails","href":"/dashboards/24302/thumbnails"}],"datasourceSlugs":["grafana-postgresql-datasource"]},{"id":23026,"status":1,"statusCode":"active","orgId":1367935,"orgSlug":"zchuanqi","orgName":"zchuanqi","slug":"aws-iot-sitewise","downloads":309,"revisionId":36371,"revision":1,"name":"AWS IoT SiteWise","description":"This is a sample dashboard to visualize equipment data from AWS IoT 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SiteWise","privacy":"public","createdAt":"2025-03-05T19:39:37.000Z","updatedAt":"2025-03-07T19:12:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23026"},{"rel":"revisions","href":"/dashboards/23026/revisions"},{"rel":"revision","href":"/dashboards/23026/revisions/1"},{"rel":"download","href":"/dashboards/23026/revisions/1/download"},{"rel":"org","href":"/orgs/zchuanqi"},{"rel":"images","href":"/dashboards/23026/images"},{"rel":"thumbnails","href":"/dashboards/23026/thumbnails"}],"datasourceSlugs":["grafana-iot-sitewise-datasource"]},{"id":12009,"status":1,"statusCode":"active","orgId":326683,"orgSlug":"ilya6","orgName":"ilya6","slug":"aws-kafka-cluster","downloads":18633586,"revisionId":17111,"revision":2,"name":"AWS Kafka Cluster","description":"https://docs.aws.amazon.com/msk/latest/developerguide/monitoring.html","readme":"Cluster Level Monitoring for AWS MSK (Kafka) from 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Events](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/cassandra/4_WriteThrottleEvents.png)\r\n\r\n## Per Connection Request Rates\r\n![Per Connection Request Rates](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/cassandra/5_PerConnectionRequestRates.png)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2023-10-03T17:42:24.000Z","updatedAt":"2025-01-08T11:23:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19699"},{"rel":"revisions","href":"/dashboards/19699/revisions"},{"rel":"revision","href":"/dashboards/19699/revisions/3"},{"rel":"download","href":"/dashboards/19699/revisions/3/download"},{"rel":"org","href":"/orgs/cboudereau"},{"rel":"images","href":"/dashboards/19699/images"},{"rel":"thumbnails","href":"/dashboards/19699/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":13018,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring 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Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2020-09-15T21:19:19.000Z","updatedAt":"2024-12-25T14:53:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13018"},{"rel":"revisions","href":"/dashboards/13018/revisions"},{"rel":"revision","href":"/dashboards/13018/revisions/6"},{"rel":"download","href":"/dashboards/13018/revisions/6/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/13018/images"},{"rel":"thumbnails","href":"/dashboards/13018/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":19644,"status":1,"statusCode":"active","orgId":951731,"orgSlug":"thamizharasanvr","orgName":"thamizharasanvr","slug":"aws-kinesis","downloads":452,"revisionId":30153,"revision":1,"name":"AWS Kinesis","description":"Visualize AWS Kinesis metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2023-09-24T10:54:49.000Z","updatedAt":"2023-09-24T10:55:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19644"},{"rel":"revisions","href":"/dashboards/19644/revisions"},{"rel":"revision","href":"/dashboards/19644/revisions/1"},{"rel":"download","href":"/dashboards/19644/revisions/1/download"},{"rel":"org","href":"/orgs/thamizharasanvr"},{"rel":"images","href":"/dashboards/19644/images"},{"rel":"thumbnails","href":"/dashboards/19644/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":20144,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-kinesis-firehose","downloads":1461,"revisionId":35545,"revision":3,"name":"AWS Kinesis Firehose","description":"Visualize AWS Kinesis Data Firehose metrics","readme":"## AWS Kinesis Firehose\r\n\r\nVisualize AWS Kinesis Firehose metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[https://grafana.com/docs/grafana/latest/datasources/cloudwatch/](https://grafana.com/docs/grafana/latest/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2023-12-13T23:05:22.000Z","updatedAt":"2024-12-25T15:14:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20144"},{"rel":"revisions","href":"/dashboards/20144/revisions"},{"rel":"revision","href":"/dashboards/20144/revisions/3"},{"rel":"download","href":"/dashboards/20144/revisions/3/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/20144/images"},{"rel":"thumbnails","href":"/dashboards/20144/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":593,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-lambda","downloads":21525053,"revisionId":35546,"revision":14,"name":"AWS Lambda","description":"Visualize AWS Lambda metrics","readme":"## AWS Lambda\r\n\r\nVisualize AWS Lambda metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2016-10-07T23:02:03.000Z","updatedAt":"2024-12-25T15:36:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/593"},{"rel":"revisions","href":"/dashboards/593/revisions"},{"rel":"revision","href":"/dashboards/593/revisions/14"},{"rel":"download","href":"/dashboards/593/revisions/14/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/593/images"},{"rel":"thumbnails","href":"/dashboards/593/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":11267,"status":1,"statusCode":"active","orgId":198258,"orgSlug":"sunker","orgName":"Grafana Labs","slug":"aws-lambda","downloads":3653407,"revisionId":15945,"revision":2,"name":"AWS Lambda","description":"Visualize AWS Lambda metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2019-11-25T15:26:42.000Z","updatedAt":"2019-12-06T07:12:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11267"},{"rel":"revisions","href":"/dashboards/11267/revisions"},{"rel":"revision","href":"/dashboards/11267/revisions/2"},{"rel":"download","href":"/dashboards/11267/revisions/2/download"},{"rel":"org","href":"/orgs/sunker"},{"rel":"images","href":"/dashboards/11267/images"},{"rel":"thumbnails","href":"/dashboards/11267/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":10618,"status":1,"statusCode":"active","orgId":268730,"orgSlug":"totegsito","orgName":"totegsito","slug":"aws-lambda","downloads":459,"revisionId":14832,"revision":1,"name":"AWS Lambda","description":"Visualize AWS Lambda metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2019-07-26T07:33:08.000Z","updatedAt":"2019-07-26T07:33:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10618"},{"rel":"revisions","href":"/dashboards/10618/revisions"},{"rel":"revision","href":"/dashboards/10618/revisions/1"},{"rel":"download","href":"/dashboards/10618/revisions/1/download"},{"rel":"org","href":"/orgs/totegsito"},{"rel":"images","href":"/dashboards/10618/images"},{"rel":"thumbnails","href":"/dashboards/10618/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":11069,"status":1,"statusCode":"active","orgId":307571,"orgSlug":"kamesz","orgName":"kamesz","slug":"aws-lambda","downloads":401,"revisionId":15473,"revision":1,"name":"AWS Lambda","description":"Visualize AWS Lambda metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2019-11-01T09:36:41.000Z","updatedAt":"2019-11-01T09:36:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11069"},{"rel":"revisions","href":"/dashboards/11069/revisions"},{"rel":"revision","href":"/dashboards/11069/revisions/1"},{"rel":"download","href":"/dashboards/11069/revisions/1/download"},{"rel":"org","href":"/orgs/kamesz"},{"rel":"images","href":"/dashboards/11069/images"},{"rel":"thumbnails","href":"/dashboards/11069/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":20277,"status":1,"statusCode":"active","orgId":958238,"orgSlug":"hydagency","orgName":"hydagency","slug":"aws-lambda","downloads":269,"revisionId":31257,"revision":1,"name":"AWS Lambda","description":"Visualize AWS Lambda metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2024-01-09T16:45:02.000Z","updatedAt":"2024-01-09T16:45:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20277"},{"rel":"revisions","href":"/dashboards/20277/revisions"},{"rel":"revision","href":"/dashboards/20277/revisions/1"},{"rel":"download","href":"/dashboards/20277/revisions/1/download"},{"rel":"org","href":"/orgs/hydagency"},{"rel":"images","href":"/dashboards/20277/images"},{"rel":"thumbnails","href":"/dashboards/20277/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":19734,"status":1,"statusCode":"active","orgId":952783,"orgSlug":"cboudereau","orgName":"cboudereau","slug":"aws-lambda-insights","downloads":139645,"revisionId":35669,"revision":9,"name":"AWS Lambda Insights","description":"AWS Lambda telemetry","readme":"# AWS Lambda / Lambda Insights\r\n\r\nReference: https://docs.aws.amazon.com/lambda/latest/dg/monitoring-insights.html\r\n\r\nThis dashboard uses aws lambda and lambda insights namespace by using the [use method](https://www.brendangregg.com/usemethod.html)\r\n\r\n![Header](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/lambda/0_Header.png)\r\n\r\n## Duration\r\n![Duration](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/lambda/1_Duration.png)\r\n\r\n## Errors\r\n![Errors](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/lambda/2_Errors.png)\r\n\r\n## Concurrent Executions\r\n![Concurrent Executions](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/lambda/3_ConcurrentExecutions.png)\r\n\r\n## Throttles\r\n![Throttles](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/lambda/4_Throttles.png)\r\n\r\n## Invocations\r\n![Invocations](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/lambda/5_Invocations.png)\r\n\r\n## Network\r\n![Network](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/lambda/6_Network.png)\r\n\r\n## CPU / Init time\r\n![CPU / Init time](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/lambda/7_CPU.png)\r\n\r\n## Memory\r\n![Memory](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/lambda/8_Memory.png)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2023-10-09T15:13:53.000Z","updatedAt":"2025-01-08T13:20:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19734"},{"rel":"revisions","href":"/dashboards/19734/revisions"},{"rel":"revision","href":"/dashboards/19734/revisions/9"},{"rel":"download","href":"/dashboards/19734/revisions/9/download"},{"rel":"org","href":"/orgs/cboudereau"},{"rel":"images","href":"/dashboards/19734/images"},{"rel":"thumbnails","href":"/dashboards/19734/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":18319,"status":1,"statusCode":"active","orgId":90180,"orgSlug":"andrii29","orgName":"andrii29","slug":"aws-load-balancer-controller","downloads":4145887,"revisionId":28131,"revision":2,"name":"AWS Load Balancer Controller","description":"","readme":"Dashboard for aws-load-balancer-controller\r\n\r\nhttps://github.com/kubernetes-sigs/aws-load-balancer-controller\r\n\r\nhttps://artifacthub.io/packages/helm/aws/aws-load-balancer-controller","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-20T09:56:45.000Z","updatedAt":"2023-03-20T13:16:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18319"},{"rel":"revisions","href":"/dashboards/18319/revisions"},{"rel":"revision","href":"/dashboards/18319/revisions/2"},{"rel":"download","href":"/dashboards/18319/revisions/2/download"},{"rel":"org","href":"/orgs/andrii29"},{"rel":"images","href":"/dashboards/18319/images"},{"rel":"thumbnails","href":"/dashboards/18319/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16808,"status":1,"statusCode":"active","orgId":603159,"orgSlug":"mojamteam","orgName":"mojamteam","slug":"aws-kafka-cluster","downloads":2395533,"revisionId":25765,"revision":1,"name":"AWS 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[AWS MSK](https://github.com/arnaudlemaignen/grafana-dashboards/tree/master/cloudwatch-ds/aws-msk)\r\n\r\nAmazon Managed Streaming for Apache Kafka (Amazon MSK) is a streaming data service that manages Apache Kafka infrastructure and operations, making it easier for developers and DevOps managers to run Apache Kafka applications and Apache Kafka Connect connectors on AWS—without becoming experts in operating Apache Kafka.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2025-09-19T22:27:03.000Z","updatedAt":"2025-09-28T14:01:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24107"},{"rel":"revisions","href":"/dashboards/24107/revisions"},{"rel":"revision","href":"/dashboards/24107/revisions/1"},{"rel":"download","href":"/dashboards/24107/revisions/1/download"},{"rel":"org","href":"/orgs/arnaudlemaignen"},{"rel":"images","href":"/dashboards/24107/images"},{"rel":"thumbnails","href":"/dashboards/24107/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":20288,"status":1,"statusCode":"active","orgId":952783,"orgSlug":"cboudereau","orgName":"cboudereau","slug":"aws-multi-account-billing","downloads":1857,"revisionId":35401,"revision":4,"name":"AWS Multi Account Billing","description":"Multi account AWS costs graphs","readme":"# Billing\r\n\r\nThis dashboard displays cost for multiple aws account.\r\n\r\n![Header](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/billing/0_Header.png)\r\n\r\n# Multi datasource/aws account stats\r\n## Last month vs Current month\r\n![Last month vs Current month](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/billing/1_Last_month_vs_Current_month.png)\r\n\r\n## Detailed view per account\r\n![Detailed view 1](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/billing/2_Detailed_view_1.png)\r\n\r\n![Detailed view 2](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/billing/3_Detailed_view_2.png)\r\n\r\n## FAQ\r\n\r\nReferences: \r\n\r\n- [Billing Alarm and region](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/monitor_estimated_charges_with_cloudwatch.html#creating_billing_alarm_with_wizard)\r\n\r\nWhy the cloudwatch region is us-east-1 ?\r\n\r\n> \"you must set your Region to US East (N. 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Billing metric data is stored in this Region and represents worldwide charges\"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2024-01-11T08:45:28.000Z","updatedAt":"2025-01-08T13:30:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20288"},{"rel":"revisions","href":"/dashboards/20288/revisions"},{"rel":"revision","href":"/dashboards/20288/revisions/4"},{"rel":"download","href":"/dashboards/20288/revisions/4/download"},{"rel":"org","href":"/orgs/cboudereau"},{"rel":"images","href":"/dashboards/20288/images"},{"rel":"thumbnails","href":"/dashboards/20288/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":16185,"status":1,"statusCode":"active","orgId":414871,"orgSlug":"praveenchandrn","orgName":"praveenok","slug":"aws-nat-gateway","downloads":23758,"revisionId":24575,"revision":3,"name":"AWS NAT Gateway","description":"AWS NAT Gateway metrics ","readme":"This dashboard shows the NAT Gateway metrics from CloudWatch.\r\n* Text panel\r\n* Graph Panel\r\n* Permission to read CloudWatch metrics from AWS\r\n\r\nNote: The dashboard uses CloudWatch queries to fetch metrics. 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This help us identify extreme outliers, which's the worst customer experiences.<br>- **Concurrency Metrics**: Observe concurrent executions to ensure Lambda scaling aligns with demand.<br>- **Error and Throttle Tracking**: Track errors and throttled invocations, ensuring smoother operations and faster troubleshooting.|\r\n|🔵**DynamoDB Performance Monitoring:**   |- **Request Latency**: Track successful request latencies for both read and write operations to optimize DynamoDB performance.<br>- **Capacity Utilization**: Monitor consumed capacity units for reads and writes to ensure you stay within provisioned limits and avoid throttling.<br>- **Error Tracking**: Watch for system errors like `ConditionalCheckFailedRequests` to ensure data consistency and transactional integrity.<br>- **Throttle Events**: Stay informed about any throttled requests and adjust provisioned capacity to maintain performance.|\r\n|🔴**EventBridge Performance Monitoring:**   |- **Request Total** (RPM): Track total EventBridge requests to monitor event flow across services.<br>- **Invocation Latency**: View latency metrics for each event-driven invocation, helping optimize event handling speed.<br>- **Dead Letter Invocations and Throttled Rules**: Monitor failed invocations and throttling to improve event reliability.|\r\n|🔴**SQS Performance Monitoring:** |- **Requests** (Sent/Received RPM): Track messages sent and received by SQS queues to understand queue activity.<br>- **Age of Oldest Message**: Monitor the oldest message age in the queue to ensure timely processing.<br>- **Delayed Messages**: View delayed messages to optimize queue configuration and performance.|\r\n|🔴**Cognito Performance Monitoring**|- **Sign-in and Sign-up Success Tracking**: View real-time sign-in and sign-up successes to monitor authentication performance.<br>- **Challenge Requests**: Track the number of authentication challenges triggered in Cognito, helping monitor suspicious or failed attempts.|\r\n|🔴**CloudWatch Logs Insights:** |- **Incoming Log Events and Bytes**: Visualize the rate of log events and data volume (bytes/sec) from AWS services such as API Gateway, Lambda, and DynamoDB.<br>- **Error and Throttle Analysis**: Monitor delivery errors, log forwarding, and throttling for effective troubleshooting of log data flow.<br>- **Real-Time Monitoring**: Ensure smooth, real-time logging for various services to stay ahead of potential performance issues.|","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch, X-Ray, Business 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Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2022-09-09T17:05:33.000Z","updatedAt":"2024-12-25T18:07:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16899"},{"rel":"revisions","href":"/dashboards/16899/revisions"},{"rel":"revision","href":"/dashboards/16899/revisions/4"},{"rel":"download","href":"/dashboards/16899/revisions/4/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/16899/images"},{"rel":"thumbnails","href":"/dashboards/16899/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":19722,"status":1,"statusCode":"active","orgId":616167,"orgSlug":"actian","orgName":"Actian","slug":"aws-prowler-dashboard","downloads":1667,"revisionId":30267,"revision":1,"name":"AWS Prowler Dashboard","description":"When running Prowler as a job/cron in a K8s cluster that 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use with the aws-quota-checker tool https://github.com/brennerm/aws-quota-checker\r\n\r\nNote: I am not the creator of the aws-quota-checker... we just use the tool and have dashboards created from it :) ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-06T16:35:54.000Z","updatedAt":"2024-08-19T17:18:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21240"},{"rel":"revisions","href":"/dashboards/21240/revisions"},{"rel":"revision","href":"/dashboards/21240/revisions/4"},{"rel":"download","href":"/dashboards/21240/revisions/4/download"},{"rel":"org","href":"/orgs/thehandsomezebra"},{"rel":"images","href":"/dashboards/21240/images"},{"rel":"thumbnails","href":"/dashboards/21240/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":707,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-rds","downloads":10809235,"revisionId":35551,"revision":8,"name":"AWS RDS","description":"Visualize AWS RDS metrics","readme":"## AWS RDS\r\n\r\nVisualize AWS RDS metrics.\r\n\r\n## 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work of  Monitoring Artist and his RDS Dashboard.\r\nBut we use RDS Aurora clusters and not single databases, so I had to modify it accordingly. \r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2018-12-06T13:10:06.000Z","updatedAt":"2018-12-06T13:13:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9383"},{"rel":"revisions","href":"/dashboards/9383/revisions"},{"rel":"revision","href":"/dashboards/9383/revisions/1"},{"rel":"download","href":"/dashboards/9383/revisions/1/download"},{"rel":"org","href":"/orgs/ptselios"},{"rel":"images","href":"/dashboards/9383/images"},{"rel":"thumbnails","href":"/dashboards/9383/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":11698,"status":1,"statusCode":"active","orgId":190178,"orgSlug":"jackz","orgName":"jackz","slug":"aws-rds","downloads":1134,"revisionId":16555,"revision":1,"name":"AWS RDS OPT","description":"Visualize AWS RDS metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2020-02-06T03:40:09.000Z","updatedAt":"2020-02-06T03:40:47.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11698"},{"rel":"revisions","href":"/dashboards/11698/revisions"},{"rel":"revision","href":"/dashboards/11698/revisions/1"},{"rel":"download","href":"/dashboards/11698/revisions/1/download"},{"rel":"org","href":"/orgs/jackz"},{"rel":"images","href":"/dashboards/11698/images"},{"rel":"thumbnails","href":"/dashboards/11698/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":24143,"status":1,"statusCode":"active","orgId":1465892,"orgSlug":"parrotbill","orgName":"lyon","slug":"aws-rds-mq-elasticache-dashboard","downloads":285,"revisionId":38499,"revision":1,"name":"AWS RDS/MQ/ElastiCache Dashboard","description":"RDS/AmazonMQ/ElastiCache","readme":"Overview\r\n\r\nThis dashboard visualizes Amazon RDS, Amazon MQ, and Amazon ElastiCache metrics collected via Amazon CloudWatch.\r\nIt helps you monitor database and messaging workloads, identify performance bottlenecks, and troubleshoot latency or throughput issues.\r\n\r\nFeatures\r\n\r\nRDS: CPU, memory, IOPS, connections, free storage\r\n\r\nMQ: message rates, queue depth, broker health\r\n\r\nElastiCache: CPU utilization, memory usage, cache hits/misses, replication lag\r\n\r\nUnified CloudWatch queries to simplify monitoring across services\r\n\r\nRequirements\r\n\r\nGrafana with CloudWatch data source configured (IAM role or access keys with cloudwatch:GetMetricData permissions)\r\n\r\nProperly tagged AWS resources for easy filtering\r\n\r\nUsage\r\n\r\nConfigure AWS CloudWatch as a Grafana data source.\r\n\r\nImport this dashboard JSON into Grafana.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2025-09-23T03:38:10.000Z","updatedAt":"2025-10-28T06:06:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24143"},{"rel":"revisions","href":"/dashboards/24143/revisions"},{"rel":"revision","href":"/dashboards/24143/revisions/1"},{"rel":"download","href":"/dashboards/24143/revisions/1/download"},{"rel":"org","href":"/orgs/parrotbill"},{"rel":"images","href":"/dashboards/24143/images"},{"rel":"thumbnails","href":"/dashboards/24143/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":8050,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-redshift","downloads":24081,"revisionId":35552,"revision":7,"name":"AWS Redshift","description":"Visualize AWS Redshift metrics","readme":"## AWS Reshift\r\n\r\nVisualize AWS Redshift metrics\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2018-09-23T07:20:00.000Z","updatedAt":"2024-12-25T19:01:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/8050"},{"rel":"revisions","href":"/dashboards/8050/revisions"},{"rel":"revision","href":"/dashboards/8050/revisions/7"},{"rel":"download","href":"/dashboards/8050/revisions/7/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/8050/images"},{"rel":"thumbnails","href":"/dashboards/8050/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":10782,"status":1,"statusCode":"active","orgId":265481,"orgSlug":"dandfv","orgName":"dandfv","slug":"aws-redshift","downloads":368,"revisionId":15047,"revision":1,"name":"AWS Redshift","description":"Visualize AWS Redshift metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2019-08-28T14:06:54.000Z","updatedAt":"2019-08-28T14:07:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10782"},{"rel":"revisions","href":"/dashboards/10782/revisions"},{"rel":"revision","href":"/dashboards/10782/revisions/1"},{"rel":"download","href":"/dashboards/10782/revisions/1/download"},{"rel":"org","href":"/orgs/dandfv"},{"rel":"images","href":"/dashboards/10782/images"},{"rel":"thumbnails","href":"/dashboards/10782/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":16678,"status":1,"statusCode":"active","orgId":391040,"orgSlug":"aloktech17","orgName":"aloktech17","slug":"aws-redshift","downloads":296,"revisionId":25529,"revision":1,"name":"AWS Redshift","description":"Visualize AWS Redshift metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2022-08-04T11:22:52.000Z","updatedAt":"2022-08-04T11:22:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16678"},{"rel":"revisions","href":"/dashboards/16678/revisions"},{"rel":"revision","href":"/dashboards/16678/revisions/1"},{"rel":"download","href":"/dashboards/16678/revisions/1/download"},{"rel":"org","href":"/orgs/aloktech17"},{"rel":"images","href":"/dashboards/16678/images"},{"rel":"thumbnails","href":"/dashboards/16678/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":19994,"status":1,"statusCode":"active","orgId":739453,"orgSlug":"boreddevops","orgName":"boreddevops","slug":"aws-redshift","downloads":469,"revisionId":30739,"revision":1,"name":"AWS Redshift","description":"Visualize AWS Redshift metrics","readme":"This dashboard Visualize AWS Redshift metrics collected with CloudWatch","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2023-11-15T11:59:41.000Z","updatedAt":"2023-11-15T12:01:23.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19994"},{"rel":"revisions","href":"/dashboards/19994/revisions"},{"rel":"revision","href":"/dashboards/19994/revisions/1"},{"rel":"download","href":"/dashboards/19994/revisions/1/download"},{"rel":"org","href":"/orgs/boreddevops"},{"rel":"images","href":"/dashboards/19994/images"},{"rel":"thumbnails","href":"/dashboards/19994/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":22402,"status":1,"statusCode":"active","orgId":261409,"orgSlug":"mateusbonini1","orgName":"mateusbonini1","slug":"aws-redshift-dashboard","downloads":343,"revisionId":35174,"revision":1,"name":"AWS Redshift  - Dashboard","description":"Redshift metrics using Python and Zabbix.","readme":"Configure the variables within the graphs according to your environment or employ the use of variables within grafana if you have multiple redshift clusters.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Zabbix","privacy":"public","createdAt":"2024-11-22T17:02:10.000Z","updatedAt":"2024-11-22T17:06:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22402"},{"rel":"revisions","href":"/dashboards/22402/revisions"},{"rel":"revision","href":"/dashboards/22402/revisions/1"},{"rel":"download","href":"/dashboards/22402/revisions/1/download"},{"rel":"org","href":"/orgs/mateusbonini1"},{"rel":"images","href":"/dashboards/22402/images"},{"rel":"thumbnails","href":"/dashboards/22402/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":11154,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-route-53","downloads":125751,"revisionId":35553,"revision":5,"name":"AWS Route 53","description":"Visualize AWS Route 53 metrics","readme":"## AWS Route 53\r\n\r\nVisualize AWS Route 53 metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2019-11-09T17:59:22.000Z","updatedAt":"2024-12-25T19:20:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11154"},{"rel":"revisions","href":"/dashboards/11154/revisions"},{"rel":"revision","href":"/dashboards/11154/revisions/5"},{"rel":"download","href":"/dashboards/11154/revisions/5/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/11154/images"},{"rel":"thumbnails","href":"/dashboards/11154/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":20857,"status":1,"statusCode":"active","orgId":1028493,"orgSlug":"jbmarzolf","orgName":"jbmarzolf","slug":"aws-route53-hosted-zones","downloads":283,"revisionId":32336,"revision":1,"name":"AWS Route53 Hosted Zones","description":"AWS Route53 Hosted Zones Dashboard by Jor","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-09T14:19:13.000Z","updatedAt":"2024-04-09T14:20:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20857"},{"rel":"revisions","href":"/dashboards/20857/revisions"},{"rel":"revision","href":"/dashboards/20857/revisions/1"},{"rel":"download","href":"/dashboards/20857/revisions/1/download"},{"rel":"org","href":"/orgs/jbmarzolf"},{"rel":"images","href":"/dashboards/20857/images"},{"rel":"thumbnails","href":"/dashboards/20857/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20769,"status":1,"statusCode":"active","orgId":246057,"orgSlug":"jor1","orgName":"jor1","slug":"aws-route53-hosted-zones","downloads":433,"revisionId":32148,"revision":1,"name":"AWS Route53 Hosted Zones","description":"AWS Route53 Hosted Zones Dashboard","readme":"Introduction to the Simple AWS Route53 Hosted Zones Dashboard\r\n\r\nThis is straightforward dashboard designed to display the record counts of AWS Route53 hosted zones\r\n\r\nFor further details and to access this utility, please visit the exporter via this link: AWS Route53 Exporter on GitHub. \r\nhttps://github.com/venomseven/aws-route53-exporter\r\n\r\nEnjoy!","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-26T10:12:25.000Z","updatedAt":"2024-04-17T13:55:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20769"},{"rel":"revisions","href":"/dashboards/20769/revisions"},{"rel":"revision","href":"/dashboards/20769/revisions/1"},{"rel":"download","href":"/dashboards/20769/revisions/1/download"},{"rel":"org","href":"/orgs/jor1"},{"rel":"images","href":"/dashboards/20769/images"},{"rel":"thumbnails","href":"/dashboards/20769/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":575,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-s3","downloads":2545445,"revisionId":35554,"revision":8,"name":"AWS S3","description":"Visualize AWS S3 metrics","readme":"## AWS S3\r\n\r\nVisualize AWS S3 metrics\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2016-10-06T21:38:21.000Z","updatedAt":"2024-12-25T19:41:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/575"},{"rel":"revisions","href":"/dashboards/575/revisions"},{"rel":"revision","href":"/dashboards/575/revisions/8"},{"rel":"download","href":"/dashboards/575/revisions/8/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/575/images"},{"rel":"thumbnails","href":"/dashboards/575/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":24108,"status":1,"statusCode":"active","orgId":285936,"orgSlug":"arnaudlemaignen","orgName":"arnaudlemaignen","slug":"aws-s3","downloads":13957,"revisionId":38460,"revision":1,"name":"AWS S3","description":"Visualize AWS S3 metrics","readme":"### [AWS S3](https://github.com/arnaudlemaignen/grafana-dashboards/tree/master/cloudwatch-ds/aws-s3)\r\n\r\nAmazon Simple Storage Service (S3) is a service offered by Amazon Web Services (AWS) that provides object storage through a web service interface.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2025-09-19T22:28:43.000Z","updatedAt":"2025-09-26T15:48:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24108"},{"rel":"revisions","href":"/dashboards/24108/revisions"},{"rel":"revision","href":"/dashboards/24108/revisions/1"},{"rel":"download","href":"/dashboards/24108/revisions/1/download"},{"rel":"org","href":"/orgs/arnaudlemaignen"},{"rel":"images","href":"/dashboards/24108/images"},{"rel":"thumbnails","href":"/dashboards/24108/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":22632,"status":1,"statusCode":"active","orgId":952783,"orgSlug":"cboudereau","orgName":"cboudereau","slug":"aws-s3-cloudwatch","downloads":18928,"revisionId":35732,"revision":3,"name":"AWS S3 CloudWatch","description":"This dashboard uses aws s3 namespace cloudwatch metrics.","readme":"# S3\r\n\r\nReference: https://docs.aws.amazon.com/AmazonS3/latest/userguide/cloudwatch-monitoring.html\r\n\r\nDaily storage, Requests, Replication and Object Lambda request metrics.\r\n\r\n![Header](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/s3/0_Header.png)\r\n\r\n## Daily storage metrics\r\nThese storage metrics for Amazon S3 are reported once per day.\r\n\r\nReference: https://docs.aws.amazon.com/AmazonS3/latest/userguide/cloudwatch-monitoring.html\r\n\r\n![Daily storage metrics](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/s3/1_Daily_storage_metrics.png)\r\n\r\n## Requests metrics\r\nThese metrics are not activated by default. See the reference to enable it (pay attention that these metrics will be charged).\r\n\r\nReference: https://docs.aws.amazon.com/AmazonS3/latest/userguide/configure-request-metrics-bucket.html\r\n\r\n![Request metrics](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/s3/2_Requests_metrics.png)\r\n\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2025-01-07T15:40:05.000Z","updatedAt":"2025-01-09T09:05:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22632"},{"rel":"revisions","href":"/dashboards/22632/revisions"},{"rel":"revision","href":"/dashboards/22632/revisions/3"},{"rel":"download","href":"/dashboards/22632/revisions/3/download"},{"rel":"org","href":"/orgs/cboudereau"},{"rel":"images","href":"/dashboards/22632/images"},{"rel":"thumbnails","href":"/dashboards/22632/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":21935,"status":1,"statusCode":"active","orgId":1001165,"orgSlug":"solutionarchitect101","orgName":"solutionarchitect101","slug":"aws-serverless-observability-monitoring","downloads":375,"revisionId":34638,"revision":2,"name":"AWS Serverless Observability Monitoring","description":"This is part of our 🚀AWS Native Cross-account Observability Dashboard!\r\n\r\nThis dashboard offers deep insights into the AWS Serverless using the Cloud Native components.\r\nIt spans all accounts within your organization.","readme":"## Getting Started\r\n\r\n#### To get started with **the AWS Serverless Observability Monitoring**, please follow [**our project site's instructions**](https://github.com/Hideki-Morita/aws-native-observability-dashboard/) on GitHub.\r\n\r\n---\r\n  \r\n#### Short descriptions\r\n\r\n|✅ Features||\r\n|---|---|\r\n|🔴**API Gateway Request and Error Monitoring:**  |- **Track Recent API Gateway Requests**: View the latest 300 API Gateway requests with detailed metadata, including IP addresses, request methods, and response statuses.<br>- **Error Analytics**: Spot errors (4xx and 5xx) instantly, with the ability to drill down into error details for troubleshooting.|\r\n|🟠**AWS Lambda Performance Insights:**   |- **Track Recent Lambda Executions**: Examine detailed logs for the most recent Lambda invocations, including execution status, request ID, and X-Ray trace information.<br>- **Enhanced Lambda Debugging**: Easily filter and find Lambda execution logs tied to specific API requests using `correlation IDs` from API Gateway and trace IDs.|\r\n|🔵**AWS X-Ray Trace Monitoring:** |- **Real-time Trace Visualization**: Get a complete visual breakdown of API Gateway requests and Lambda invocations using X-Ray traces. Trace the path of a request as it moves through API Gateway, Lambda, and DynamoDB using `Service Map`.<br>- **Detailed Latency Breakdown**: Understand the latency of each service involved in a transaction, helping you identify performance bottlenecks at a glance with the `Flame Graph`.|\r\n|**Centralized 🔴CloudTrail Logs:** |- **Cross-Service Correlation**: Track recent AWS API requests. Easily identify and troubleshoot issues across multiple services, including who called the API and from where.|","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch, X-Ray, Business Input","privacy":"public","createdAt":"2024-09-19T14:46:09.000Z","updatedAt":"2024-10-22T13:18:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21935"},{"rel":"revisions","href":"/dashboards/21935/revisions"},{"rel":"revision","href":"/dashboards/21935/revisions/2"},{"rel":"download","href":"/dashboards/21935/revisions/2/download"},{"rel":"org","href":"/orgs/solutionarchitect101"},{"rel":"images","href":"/dashboards/21935/images"},{"rel":"thumbnails","href":"/dashboards/21935/thumbnails"}],"datasourceSlugs":["cloudwatch","grafana-x-ray-datasource","marcusolsson-static-datasource"]},{"id":1519,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-ses","downloads":138588,"revisionId":35556,"revision":6,"name":"AWS SES","description":"Visualize AWS SES metrics","readme":"## AWS SES\r\n\r\nVisualize AWS SES metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2017-02-16T21:36:06.000Z","updatedAt":"2024-12-25T19:54:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1519"},{"rel":"revisions","href":"/dashboards/1519/revisions"},{"rel":"revision","href":"/dashboards/1519/revisions/6"},{"rel":"download","href":"/dashboards/1519/revisions/6/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/1519/images"},{"rel":"thumbnails","href":"/dashboards/1519/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":16303,"status":1,"statusCode":"active","orgId":474641,"orgSlug":"evachic","orgName":"evachic","slug":"aws-ses","downloads":361,"revisionId":24808,"revision":1,"name":"AWS SES","description":"Visualize AWS SES metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2022-05-19T16:35:24.000Z","updatedAt":"2022-05-19T16:35:33.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16303"},{"rel":"revisions","href":"/dashboards/16303/revisions"},{"rel":"revision","href":"/dashboards/16303/revisions/1"},{"rel":"download","href":"/dashboards/16303/revisions/1/download"},{"rel":"org","href":"/orgs/evachic"},{"rel":"images","href":"/dashboards/16303/images"},{"rel":"thumbnails","href":"/dashboards/16303/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":581,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-sns","downloads":3540457,"revisionId":35557,"revision":7,"name":"AWS SNS","description":"Visualize AWS SNS metrics","readme":"## AWS SNS\r\n\r\nVisualize AWS SNS metrics\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2016-10-07T21:18:44.000Z","updatedAt":"2024-12-25T20:09:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/581"},{"rel":"revisions","href":"/dashboards/581/revisions"},{"rel":"revision","href":"/dashboards/581/revisions/7"},{"rel":"download","href":"/dashboards/581/revisions/7/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/581/images"},{"rel":"thumbnails","href":"/dashboards/581/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":584,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-sqs","downloads":24120981,"revisionId":35558,"revision":6,"name":"AWS SQS","description":"Visualize AWS SQS metrics","readme":"## AWS SQS\r\n\r\nVisualize AWS SQS metrics\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2016-10-07T21:32:36.000Z","updatedAt":"2024-12-25T20:21:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/584"},{"rel":"revisions","href":"/dashboards/584/revisions"},{"rel":"revision","href":"/dashboards/584/revisions/6"},{"rel":"download","href":"/dashboards/584/revisions/6/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/584/images"},{"rel":"thumbnails","href":"/dashboards/584/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":12521,"status":1,"statusCode":"active","orgId":394670,"orgSlug":"sreenivasarajiv","orgName":"Sreenivasa Rajiv","slug":"aws-sqs","downloads":452,"revisionId":17984,"revision":1,"name":"AWS SQS","description":"Visualize AWS SQS metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2020-06-23T15:11:43.000Z","updatedAt":"2020-06-23T15:11:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12521"},{"rel":"revisions","href":"/dashboards/12521/revisions"},{"rel":"revision","href":"/dashboards/12521/revisions/1"},{"rel":"download","href":"/dashboards/12521/revisions/1/download"},{"rel":"org","href":"/orgs/sreenivasarajiv"},{"rel":"images","href":"/dashboards/12521/images"},{"rel":"thumbnails","href":"/dashboards/12521/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":19315,"status":1,"statusCode":"active","orgId":176116,"orgSlug":"hoepfnerj","orgName":"Acme Corporation","slug":"aws-sqs-prometheus","downloads":6015,"revisionId":29610,"revision":1,"name":"AWS SQS (Prometheus)","description":"AWS SQS Prometheus metrics from CloudWatch exporter","readme":"Adapted from dashboard \"AWS SQS\" (ID 584). This dasboard uses Prometheus instead of CloudWatch as the datasource. The metrics have to be exported with the CloudWatch Exporter.\r\n\r\nThe CloudWatch exporter settings used are as follows:\r\n```\r\n  # SQS\r\n  # https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-available-cloudwatch-metrics.html\r\n  #\r\n  # CloudWatch metrics for your Amazon SQS queues are automatically collected and pushed to CloudWatch at one-minute intervals.\r\n  # These metrics are gathered on all queues that meet the CloudWatch guidelines for being active. CloudWatch considers a queue\r\n  # to be active for up to six hours if it contains any messages or if any action accesses it. When an Amazon SQS queue is inactive\r\n  # for more than six hours, the Amazon SQS service is considered asleep and stops delivering metrics to the CloudWatch service.\r\n  #\r\n  # Configuration adapted from: https://sysdig.com/blog/monitor-amazon-sqs-prometheus/\r\n\r\n  # The approximate age of the oldest non-deleted message in the queue.\r\n  - aws_namespace: AWS/SQS\r\n    aws_metric_name: ApproximateAgeOfOldestMessage\r\n    aws_dimensions: [QueueName]\r\n    aws_statistics: [Maximum]\r\n  # The number of messages in the queue that are delayed and not available for reading immediately. This can happen when the queue is configured as a delay queue or when a message has been sent with a delay parameter.\r\n  - aws_namespace: AWS/SQS\r\n    aws_metric_name: ApproximateNumberOfMessagesDelayed\r\n    aws_dimensions: [QueueName]\r\n    aws_statistics: [Average]\r\n  # The number of messages that are in flight. Messages are considered to be in flight if they have been sent to a client but have not yet been deleted or have not yet reached the end of their visibility window.\r\n  - aws_namespace: AWS/SQS\r\n    aws_metric_name: ApproximateNumberOfMessagesNotVisible\r\n    aws_dimensions: [QueueName]\r\n    aws_statistics: [Average]\r\n  # The number of messages available for retrieval from the queue.\r\n  - aws_namespace: AWS/SQS\r\n    aws_metric_name: ApproximateNumberOfMessagesVisible\r\n    aws_dimensions: [QueueName]\r\n    aws_statistics: [Average]\r\n  # The number of ReceiveMessage API calls that did not return a message.\r\n  - aws_namespace: AWS/SQS\r\n    aws_metric_name: NumberOfEmptyReceives\r\n    aws_dimensions: [QueueName]\r\n    aws_statistics: [Sum]\r\n  # The number of messages deleted from the queue.\r\n  - aws_namespace: AWS/SQS\r\n    aws_metric_name: NumberOfMessagesDeleted\r\n    aws_dimensions: [QueueName]\r\n    aws_statistics: [Sum]\r\n  # The number of messages returned by calls to the ReceiveMessage action.\r\n  - aws_namespace: AWS/SQS\r\n    aws_metric_name: NumberOfMessagesReceived\r\n    aws_dimensions: [QueueName]\r\n    aws_statistics: [Sum]\r\n  # The number of messages added to a queue.\r\n  - aws_namespace: AWS/SQS\r\n    aws_metric_name: NumberOfMessagesSent\r\n    aws_dimensions: [QueueName]\r\n    aws_statistics: [Sum]\r\n  # The size of messages added to a queue.\r\n  - aws_namespace: AWS/SQS\r\n    aws_metric_name: SentMessageSize\r\n    aws_dimensions: [QueueName]\r\n    aws_statistics: [Sum,Average]\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-08-07T16:21:36.000Z","updatedAt":"2023-08-08T08:39:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19315"},{"rel":"revisions","href":"/dashboards/19315/revisions"},{"rel":"revision","href":"/dashboards/19315/revisions/1"},{"rel":"download","href":"/dashboards/19315/revisions/1/download"},{"rel":"org","href":"/orgs/hoepfnerj"},{"rel":"images","href":"/dashboards/19315/images"},{"rel":"thumbnails","href":"/dashboards/19315/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20042,"status":1,"statusCode":"active","orgId":952783,"orgSlug":"cboudereau","orgName":"cboudereau","slug":"aws-sqs-cloudwatch","downloads":140790,"revisionId":35670,"revision":6,"name":"AWS SQS CloudWatch","description":"This dashboard uses aws sqs namespace cloudwatch metrics.\r\nMultiple queues (deadletter and main queue) can be monitored at once.","readme":"# AWS SQS\r\n\r\nGithub: https://github.com/cboudereau/grafana-dashboards/tree/main/aws/sqs\r\n\r\nReference: https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-available-cloudwatch-metrics.html\r\n\r\nThis dashboard uses aws sqs namespace cloudwatch metrics\r\n\r\n## Multiple queue monitoring\r\n![Multiple queue monitoring](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/sqs/graph-multiple-queues.png)\r\n\r\n## Message count / In Flight\r\n![Message count / In Flight](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/sqs/message-count.png)\r\n\r\n## Message Sent / Received / Size\r\n![Message Sent / Received / Size](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/sqs/message-sent-received-size.png)\r\n\r\n## Max Message Age\r\n![Max Message Age](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/aws/sqs/max-message-age.png)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2023-11-24T14:07:59.000Z","updatedAt":"2025-01-07T16:53:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20042"},{"rel":"revisions","href":"/dashboards/20042/revisions"},{"rel":"revision","href":"/dashboards/20042/revisions/6"},{"rel":"download","href":"/dashboards/20042/revisions/6/download"},{"rel":"org","href":"/orgs/cboudereau"},{"rel":"images","href":"/dashboards/20042/images"},{"rel":"thumbnails","href":"/dashboards/20042/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":11099,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-step-functions","downloads":48381,"revisionId":35559,"revision":6,"name":"AWS Step Functions","description":"Visualize AWS Step Functions metrics","readme":"## AWS Step Functions\r\n\r\nVisualize AWS Step Functions metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2019-11-05T20:50:15.000Z","updatedAt":"2024-12-25T20:47:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11099"},{"rel":"revisions","href":"/dashboards/11099/revisions"},{"rel":"revision","href":"/dashboards/11099/revisions/6"},{"rel":"download","href":"/dashboards/11099/revisions/6/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/11099/images"},{"rel":"thumbnails","href":"/dashboards/11099/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":10824,"status":1,"statusCode":"active","orgId":281025,"orgSlug":"marcelocarmona","orgName":"marcelocarmona","slug":"aws-step-functions","downloads":684,"revisionId":15157,"revision":2,"name":"AWS Step Functions","description":"Visualize AWS Step Functions metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2019-09-05T23:21:39.000Z","updatedAt":"2019-09-10T15:41:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10824"},{"rel":"revisions","href":"/dashboards/10824/revisions"},{"rel":"revision","href":"/dashboards/10824/revisions/2"},{"rel":"download","href":"/dashboards/10824/revisions/2/download"},{"rel":"org","href":"/orgs/marcelocarmona"},{"rel":"images","href":"/dashboards/10824/images"},{"rel":"thumbnails","href":"/dashboards/10824/thumbnails"}]},{"id":13040,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-storage-gateway","downloads":5534,"revisionId":35560,"revision":4,"name":"AWS Storage Gateway","description":"Visualize AWS Storage Gateway metrics","readme":"## AWS Storage Gateway\r\n\r\nVisualize AWS Storage Gateway metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2020-09-19T15:40:01.000Z","updatedAt":"2024-12-25T21:16:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13040"},{"rel":"revisions","href":"/dashboards/13040/revisions"},{"rel":"revision","href":"/dashboards/13040/revisions/4"},{"rel":"download","href":"/dashboards/13040/revisions/4/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/13040/images"},{"rel":"thumbnails","href":"/dashboards/13040/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":20008,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-transfer-family","downloads":1214,"revisionId":35561,"revision":2,"name":"AWS Transfer Family","description":"Visualize AWS Transfer Family metrics","readme":"## AWS Transfer Family\r\n\r\nVisualize AWS Transfer Family metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[https://grafana.com/docs/grafana/latest/datasources/cloudwatch/](https://grafana.com/docs/grafana/latest/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2023-11-19T22:02:34.000Z","updatedAt":"2024-12-25T21:28:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20008"},{"rel":"revisions","href":"/dashboards/20008/revisions"},{"rel":"revision","href":"/dashboards/20008/revisions/2"},{"rel":"download","href":"/dashboards/20008/revisions/2/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/20008/images"},{"rel":"thumbnails","href":"/dashboards/20008/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":14954,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-transit-gateway","downloads":175371,"revisionId":35562,"revision":4,"name":"AWS Transit Gateway","description":"Visualize AWS Transit Gateway metrics","readme":"## AWS Transit Gateway\r\n\r\nVisualize AWS Transit Gateway metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2021-08-31T14:18:49.000Z","updatedAt":"2024-12-25T21:50:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14954"},{"rel":"revisions","href":"/dashboards/14954/revisions"},{"rel":"revision","href":"/dashboards/14954/revisions/4"},{"rel":"download","href":"/dashboards/14954/revisions/4/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/14954/images"},{"rel":"thumbnails","href":"/dashboards/14954/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":16196,"status":1,"statusCode":"active","orgId":414871,"orgSlug":"praveenchandrn","orgName":"praveenok","slug":"aws-transit-gateway","downloads":8906,"revisionId":24599,"revision":2,"name":"AWS Transit Gateway","description":"AWS Transit Gateway metrics","readme":"This dashboard shows the Transit Gateway metrics from CloudWatch.\r\n\r\nText panel\r\nGraph Panel\r\nPermission to read CloudWatch metrics from AWS\r\nNote: The dashboard uses CloudWatch queries to fetch metrics. This incurs cost on the AWS account, so it is advised to set a higher refresh interval on the dashboard.\r\n\r\nSource: https://github.com/praveenchandran/grafana","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2022-05-01T22:42:50.000Z","updatedAt":"2022-05-01T22:52:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16196"},{"rel":"revisions","href":"/dashboards/16196/revisions"},{"rel":"revision","href":"/dashboards/16196/revisions/2"},{"rel":"download","href":"/dashboards/16196/revisions/2/download"},{"rel":"org","href":"/orgs/praveenchandrn"},{"rel":"images","href":"/dashboards/16196/images"},{"rel":"thumbnails","href":"/dashboards/16196/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":23187,"status":1,"statusCode":"active","orgId":1394724,"orgSlug":"housalhi","orgName":"housalhi","slug":"aws-trusted-advisor","downloads":407,"revisionId":36696,"revision":2,"name":"AWS Trusted Advisor","description":"AWS Trusted Advisor dashboard is designed to monitor and display the status of Trusted Advisor checks by visualising the severity of issues using AWS CloudWatch data.","readme":"# AWS Trusted Advisor Dashboard\r\n\r\n### AWS Support Plan Requirements\r\nTo use AWS Trusted Advisor, you must have an AWS Support plan. The minimum required plan is the **Developer Support** tier. You can manage your support plan at:\r\n- [AWS Support Plans Console](https://us-east-1.console.aws.amazon.com/support/plans/home?region=us-east-1#/)\r\n\r\n## Overview\r\nThis dashboard provides real-time monitoring of AWS Trusted Advisor checks, helping you identify and track potential issues in your AWS infrastructure. It visualizes both critical (Red) and warning (Yellow) issues across various Trusted Advisor categories. The dashboard is specifically configured for the US East (N. Virginia) region (us-east-1).\r\nThe dashboard allows you to:\r\n- View check history over different time periods \r\n- Track the evolution of issues over time\r\n- Monitor the effectiveness of remediation actions\r\n- Identify recurring patterns in resource issues\r\n\r\n\r\n## Key Features\r\n- Real-time monitoring of Trusted Advisor checks in us-east-1 region\r\n- Color-coded severity indicators:\r\n  - Red: Critical issues requiring immediate attention\r\n  - Yellow: Warning issues that should be monitored\r\n  - Grey: Check not yet performed by AWS\r\n- Historical data visualization\r\n- Two key metrics per check:\r\n  - Number of resources affected by the issue\r\n  - Percentage variation in the number of affected resources\r\n- Automatic refresh of check status\r\n- Customizable time range (default: last 7 days)\r\n\r\n## CloudWatch Metrics\r\nThe dashboard uses the following AWS CloudWatch metrics from the `AWS/TrustedAdvisor` namespace:\r\n- `RedResources`: Number of resources with critical issues\r\n- `YellowResources`: Number of resources with warning issues\r\n\r\n### Links\r\n- [AWS Trusted Advisor Service](https://docs.aws.amazon.com/awssupport/latest/user/trusted-advisor.html)\r\n\r\n## Configuration\r\n- **Data Source**: [AWS CloudWatch](https://grafana.com/docs/grafana/latest/datasources/aws-cloudwatch/)\r\n- **Region**: us-east-1 (N. Virginia)\r\n\r\n## Tags\r\n- cloudwatch\r\n- Trusted Advisor\r\n- AWS\r\n- Monitoring\r\n- Infrastructure\r\n- us-east-1\r\n\r\n## Requirements\r\n- Grafana 12.0.0 or higher\r\n- AWS CloudWatch datasource configured\r\n- Appropriate AWS IAM permissions for Trusted Advisor","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2025-04-04T14:04:10.000Z","updatedAt":"2025-04-23T07:55:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23187"},{"rel":"revisions","href":"/dashboards/23187/revisions"},{"rel":"revision","href":"/dashboards/23187/revisions/2"},{"rel":"download","href":"/dashboards/23187/revisions/2/download"},{"rel":"org","href":"/orgs/housalhi"},{"rel":"images","href":"/dashboards/23187/images"},{"rel":"thumbnails","href":"/dashboards/23187/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":15266,"status":1,"statusCode":"active","orgId":528806,"orgSlug":"cloudquery","orgName":"cloudquery","slug":"vpc-details","downloads":659,"revisionId":25310,"revision":3,"name":"AWS VPC Details","description":"AWS EC2 Public & Private Asset Inventory filterable by accounts and regions.","readme":"## AWS EC2 Public & Private\r\n\r\nAWS EC2 Public & Private Asset Inventory filterable by accounts and regions.\r\n\r\n## How to Install\r\n\r\n 1. Install [CloudQuery](https://www.cloudquery.io/docs/quickstart/) and fetch your resources\r\n 2. [Follow the instructions for installing the view and dashboard here](https://github.com/cloudquery/cloudquery/tree/main/plugins/source/aws/dashboards#aws-ec2-publicprivate-instances)\r\n\r\n\r\n## GitHub\r\n\r\nFeel free to contribute or open an [issue](https://github.com/cloudquery/cloudquery)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2021-11-19T10:25:40.000Z","updatedAt":"2023-02-15T12:18:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15266"},{"rel":"revisions","href":"/dashboards/15266/revisions"},{"rel":"revision","href":"/dashboards/15266/revisions/3"},{"rel":"download","href":"/dashboards/15266/revisions/3/download"},{"rel":"org","href":"/orgs/cloudquery"},{"rel":"images","href":"/dashboards/15266/images"},{"rel":"thumbnails","href":"/dashboards/15266/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":2969,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-vpn","downloads":71258,"revisionId":35563,"revision":5,"name":"AWS VPN","description":"Visualize AWS VPN metrics","readme":"## AWS Billing\r\n\r\nVisualize estimated AWS VPN metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2017-08-16T16:31:04.000Z","updatedAt":"2024-12-25T21:57:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2969"},{"rel":"revisions","href":"/dashboards/2969/revisions"},{"rel":"revision","href":"/dashboards/2969/revisions/5"},{"rel":"download","href":"/dashboards/2969/revisions/5/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/2969/images"},{"rel":"thumbnails","href":"/dashboards/2969/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":20009,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-waf","downloads":3458470,"revisionId":35564,"revision":2,"name":"AWS WAF","description":"Visualize AWS WAF metrics","readme":"## AWS WAF\r\n\r\nVisualize AWS WAF metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[https://grafana.com/docs/grafana/latest/datasources/cloudwatch/](https://grafana.com/docs/grafana/latest/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2023-11-19T22:51:52.000Z","updatedAt":"2024-12-25T22:07:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20009"},{"rel":"revisions","href":"/dashboards/20009/revisions"},{"rel":"revision","href":"/dashboards/20009/revisions/2"},{"rel":"download","href":"/dashboards/20009/revisions/2/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/20009/images"},{"rel":"thumbnails","href":"/dashboards/20009/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":23517,"status":1,"statusCode":"active","orgId":1444206,"orgSlug":"eemiroglu","orgName":"eemiroglu","slug":"aws-wafv2-stats","downloads":377,"revisionId":37390,"revision":1,"name":"AWS WAFv2 Stats","description":"Dashboard with statistics from AWS WAFv2 via CloudWatch Logs Insights queries","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2025-06-04T08:43:06.000Z","updatedAt":"2025-06-04T09:03:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23517"},{"rel":"revisions","href":"/dashboards/23517/revisions"},{"rel":"revision","href":"/dashboards/23517/revisions/1"},{"rel":"download","href":"/dashboards/23517/revisions/1/download"},{"rel":"org","href":"/orgs/eemiroglu"},{"rel":"images","href":"/dashboards/23517/images"},{"rel":"thumbnails","href":"/dashboards/23517/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":18380,"status":1,"statusCode":"active","orgId":825625,"orgSlug":"macmiranda","orgName":"macmiranda","slug":"aws-wafv2-stats","downloads":3719994,"revisionId":28206,"revision":1,"name":"AWS WAFv2 Stats","description":"Dashboard with statistics from AWS WAFv2 via CloudWatch Logs Insights queries","readme":"Dashboard heavily inspired by this [article](https://aws.amazon.com/blogs/security/deploy-dashboard-for-aws-waf-minimal-effort/)\r\n\r\nUses the geomap panel so a fairly recent version of Grafana is needed. Not tested with any version besides 9.4.x though it should work with any 9.x\r\n\r\nCouldn't find any other AWS WAFv2 dashboards on this site so I decided to build mine. Hope you enjoy it.\r\n\r\nIt uses CloudWatch Logs Insights for the queries so make sure to enable logging for your WebACL","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2023-03-29T12:04:56.000Z","updatedAt":"2023-03-29T12:36:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18380"},{"rel":"revisions","href":"/dashboards/18380/revisions"},{"rel":"revision","href":"/dashboards/18380/revisions/1"},{"rel":"download","href":"/dashboards/18380/revisions/1/download"},{"rel":"org","href":"/orgs/macmiranda"},{"rel":"images","href":"/dashboards/18380/images"},{"rel":"thumbnails","href":"/dashboards/18380/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":15016,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"aws-x-ray","downloads":37743,"revisionId":35565,"revision":4,"name":"AWS X-Ray","description":"Visualize AWS X-Ray metrics","readme":"## AWS X-Ray\r\n\r\nVisualize X-Ray metrics.\r\n\r\n## CloudWatch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/cloudwatch/](http://docs.grafana.org/datasources/cloudwatch/)\r\n\r\n## Make Grafana AWS dashboards better\r\n\r\nFeel free to add additional dashboards for other AWS resources (EC2, S3, ...) or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2021-09-15T20:13:19.000Z","updatedAt":"2024-12-25T22:18:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15016"},{"rel":"revisions","href":"/dashboards/15016/revisions"},{"rel":"revision","href":"/dashboards/15016/revisions/4"},{"rel":"download","href":"/dashboards/15016/revisions/4/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/15016/images"},{"rel":"thumbnails","href":"/dashboards/15016/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":13257,"status":1,"statusCode":"active","orgId":373923,"orgSlug":"andreynovik1993","orgName":"andreynovik1993","slug":"aws-documentdb-2-generation","downloads":940,"revisionId":19249,"revision":1,"name":"AWS_DocumentDB","description":"AWS documentDB dashboard from cloudwatch exporter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-23T09:43:55.000Z","updatedAt":"2020-10-23T09:44:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13257"},{"rel":"revisions","href":"/dashboards/13257/revisions"},{"rel":"revision","href":"/dashboards/13257/revisions/1"},{"rel":"download","href":"/dashboards/13257/revisions/1/download"},{"rel":"org","href":"/orgs/andreynovik1993"},{"rel":"images","href":"/dashboards/13257/images"},{"rel":"thumbnails","href":"/dashboards/13257/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13258,"status":1,"statusCode":"active","orgId":373923,"orgSlug":"andreynovik1993","orgName":"andreynovik1993","slug":"aws-dynamodb-2-generation","downloads":950,"revisionId":19250,"revision":1,"name":"AWS_DynamoDB","description":"AWS dynamoDB from cloudwatch 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metrics.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2018-11-19T17:35:45.000Z","updatedAt":"2018-11-19T17:42:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9105"},{"rel":"revisions","href":"/dashboards/9105/revisions"},{"rel":"revision","href":"/dashboards/9105/revisions/1"},{"rel":"download","href":"/dashboards/9105/revisions/1/download"},{"rel":"org","href":"/orgs/daktari"},{"rel":"images","href":"/dashboards/9105/images"},{"rel":"thumbnails","href":"/dashboards/9105/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":12963,"status":1,"statusCode":"active","orgId":415056,"orgSlug":"stefandragisic","orgName":"stefandragisic","slug":"axon-spring-boot-applications-statistics","downloads":5596,"revisionId":18754,"revision":1,"name":"Axon Framework Application","description":"Dashboard for Axon Framework Application (micrometer-prometheus).","readme":"With this dashboard you will get very detailed insights into metrics on many different levels: per event, eventProcessor, …\n\n It requires the Axon application to use the axon-micrometer extension/module \n\nhttps://docs.axoniq.io/reference-guide/axon-framework/monitoring-and-metrics#metrics\n\nAdditionally, micrometer tags/dimmesions could be enabled (axon.metrics.micrometer.dimensional=true) to filter out more specific metrics (per event, command type…) via labels on Grafana dashboard. The dashboard is flexible to cover both cases (with dimensions disabled as well)\n\nDemo + webinar:\n\nhttps://github.com/AxonIQ/axon-observability-demo\n\nCreated by @idugalic","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-09-07T13:37:14.000Z","updatedAt":"2021-05-17T09:02:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12963"},{"rel":"revisions","href":"/dashboards/12963/revisions"},{"rel":"revision","href":"/dashboards/12963/revisions/1"},{"rel":"download","href":"/dashboards/12963/revisions/1/download"},{"rel":"org","href":"/orgs/stefandragisic"},{"rel":"images","href":"/dashboards/12963/images"},{"rel":"thumbnails","href":"/dashboards/12963/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14315,"status":1,"statusCode":"active","orgId":415056,"orgSlug":"stefandragisic","orgName":"stefandragisic","slug":"axon-framework-micrometer-application","downloads":1877,"revisionId":21085,"revision":1,"name":"Axon Framework Micrometer Application","description":"Dashboard for Axon Framework (Micrometer) Application.","readme":"With this dashboard you will get very detailed insights into metrics on many different levels: per event, eventProcessor, …\n\nIt requires the Axon application to use the axon-micrometer extension/module\n\nhttps://docs.axoniq.io/reference-guide/axon-framework/monitoring-and-metrics#metrics\n\nThe dashboard is using micrometer dimensions (micrometer tags/dimmesions must be enabled axon.metrics.micrometer.dimensional=true)\n\nDemo + webinar:\n\nhttps://github.com/AxonIQ/axon-observability-demo\n\nCreated by @idugalic","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-04-27T13:12:57.000Z","updatedAt":"2021-05-17T09:01:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14315"},{"rel":"revisions","href":"/dashboards/14315/revisions"},{"rel":"revision","href":"/dashboards/14315/revisions/1"},{"rel":"download","href":"/dashboards/14315/revisions/1/download"},{"rel":"org","href":"/orgs/stefandragisic"},{"rel":"images","href":"/dashboards/14315/images"},{"rel":"thumbnails","href":"/dashboards/14315/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22622,"status":1,"statusCode":"active","orgId":415056,"orgSlug":"stefandragisic","orgName":"stefandragisic","slug":"axon-server-cluster-overview","downloads":302,"revisionId":35635,"revision":1,"name":"Axon Server 2024.X","description":"Dashboard for Axon Server 2024.X, providing comprehensive monitoring and metrics visualization for your Axon Server cluster. Features include real-time performance metrics, cluster health status, message handling statistics, and system resource utilization. Ideal for DevOps teams managing Axon-based event-driven applications and microservices architectures.","readme":"# Axon Server Cluster Overview Dashboard\r\n\r\nA comprehensive Grafana dashboard for monitoring Axon Server clusters, providing real-time insights into performance, health, and operational metrics.\r\n\r\n## Dashboard Overview\r\n\r\nThis dashboard is organized into four main sections:\r\n\r\n### 1. Health Metrics\r\n- CPU utilization and system performance\r\n- Node status and connectivity\r\n- Application connection metrics\r\n- Error rates and warnings\r\n- Event store volume status\r\n\r\n### 2. Message Processing\r\n- Command and query processing rates\r\n- Queue status monitoring\r\n- Handler duration metrics\r\n- Subscription query performance\r\n- Error rate tracking\r\n\r\n### 3. Event Store\r\n- Event/snapshot append and read rates\r\n- File segment monitoring\r\n- Replication group status\r\n- Storage performance metrics\r\n- Unforced entries tracking\r\n\r\n### 4. Operation Metrics\r\n- Application connection events\r\n- Command/Query processing durations\r\n- System-level error rates\r\n- Storage volume utilization\r\n\r\n## Data Collection\r\n\r\nThis dashboard requires Prometheus as the data source. Metrics are collected through:\r\n- JMX Exporter for Java metrics\r\n- Prometheus Node Exporter for system metrics\r\n- Axon Server's built-in metrics endpoints\r\n\r\n### Required Metrics\r\n- `axon_*` metrics for Axon Server-specific data\r\n- `system_*` metrics for system performance\r\n- `process_*` metrics for JVM statistics\r\n\r\n## Installation\r\n\r\n1. Import the JSON file into your Grafana instance\r\n2. Configure the Prometheus data source\r\n3. Update the dashboard variables:\r\n   - `job`: Prometheus job name\r\n   - `context`: Axon Server context\r\n   - `axonserver`: Axon Server instance selection\r\n   - `datasource`: Prometheus data source\r\n\r\n## Requirements\r\n- Grafana 11.x or higher\r\n- Prometheus with configured Axon Server metrics collection\r\n- Axon Server 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\r\n\r\nhttps://docs.axoniq.io/reference-guide/axon-framework/monitoring-and-metrics\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-09-07T12:48:01.000Z","updatedAt":"2025-01-06T14:33:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12962"},{"rel":"revisions","href":"/dashboards/12962/revisions"},{"rel":"revision","href":"/dashboards/12962/revisions/5"},{"rel":"download","href":"/dashboards/12962/revisions/5/download"},{"rel":"org","href":"/orgs/stefandragisic"},{"rel":"images","href":"/dashboards/12962/images"},{"rel":"thumbnails","href":"/dashboards/12962/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15429,"status":1,"statusCode":"active","orgId":480023,"orgSlug":"freedomshane","orgName":"Shane","slug":"azkaban-zh-cn","downloads":371,"revisionId":23296,"revision":2,"name":"Azkaban","description":"need config 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http(s)://host:port\n\n![image](https://raw.githubusercontent.com/rea1shane/azkaban_exporter/main/img/3.png)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-12-22T07:43:46.000Z","updatedAt":"2021-12-28T12:25:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15429"},{"rel":"revisions","href":"/dashboards/15429/revisions"},{"rel":"revision","href":"/dashboards/15429/revisions/2"},{"rel":"download","href":"/dashboards/15429/revisions/2/download"},{"rel":"org","href":"/orgs/freedomshane"},{"rel":"images","href":"/dashboards/15429/images"},{"rel":"thumbnails","href":"/dashboards/15429/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23373,"status":1,"statusCode":"active","orgId":1369566,"orgSlug":"alexaztec","orgName":"alexaztec","slug":"prover-node-overview","downloads":275,"revisionId":37085,"revision":1,"name":"Aztec Prover 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agents","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-05-01T16:53:10.000Z","updatedAt":"2025-05-01T16:55:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23373"},{"rel":"revisions","href":"/dashboards/23373/revisions"},{"rel":"revision","href":"/dashboards/23373/revisions/1"},{"rel":"download","href":"/dashboards/23373/revisions/1/download"},{"rel":"org","href":"/orgs/alexaztec"},{"rel":"images","href":"/dashboards/23373/images"},{"rel":"thumbnails","href":"/dashboards/23373/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23054,"status":1,"statusCode":"active","orgId":1369566,"orgSlug":"alexaztec","orgName":"alexaztec","slug":"aztec-validator","downloads":341,"revisionId":36563,"revision":5,"name":"Aztec Validator","description":"A Grafana dashboard to monitor an Aztec Validator node","readme":"A dashboard to monitor Aztec validators","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-03-10T18:33:59.000Z","updatedAt":"2025-04-29T13:51:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23054"},{"rel":"revisions","href":"/dashboards/23054/revisions"},{"rel":"revision","href":"/dashboards/23054/revisions/5"},{"rel":"download","href":"/dashboards/23054/revisions/5/download"},{"rel":"org","href":"/orgs/alexaztec"},{"rel":"images","href":"/dashboards/23054/images"},{"rel":"thumbnails","href":"/dashboards/23054/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15128,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-alert-consumption","downloads":379404,"revisionId":37425,"revision":8,"name":"Azure / Alert Consumption","description":"A summary of all alerts for the subscription and other filters 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The table shows key details like Severity, Monitor condition, Alert state, Affected resource among others. Data can also be filtered on multiple columns allowing you to narrow the type of alerts displayed.\r\n\r\nMore information:\r\n- [Set up Azure Monitor data source](https://grafana.com/docs/grafana/next/datasources/azuremonitor/)\r\n- [Azure Monitor](https://docs.microsoft.com/en-us/azure/azure-monitor/)\r\n\r\nSend your feedback to [azmongrafana@microsoft.com](mailto:azmongrafana@microsoft.com)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2021-10-18T16:12:35.000Z","updatedAt":"2025-06-05T17:02:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15128"},{"rel":"revisions","href":"/dashboards/15128/revisions"},{"rel":"revision","href":"/dashboards/15128/revisions/8"},{"rel":"download","href":"/dashboards/15128/revisions/8/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/15128/images"},{"rel":"thumbnails","href":"/dashboards/15128/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":20608,"status":1,"statusCode":"active","orgId":1065970,"orgSlug":"vumc","orgName":"vumc","slug":"azure-alert-consumption","downloads":271,"revisionId":31839,"revision":1,"name":"Azure / Alert Consumption","description":"A summary of all alerts for the subscription and other filters selected","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2024-03-01T16:19:05.000Z","updatedAt":"2024-03-01T16:19:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20608"},{"rel":"revisions","href":"/dashboards/20608/revisions"},{"rel":"revision","href":"/dashboards/20608/revisions/1"},{"rel":"download","href":"/dashboards/20608/revisions/1/download"},{"rel":"org","href":"/orgs/vumc"},{"rel":"images","href":"/dashboards/20608/images"},{"rel":"thumbnails","href":"/dashboards/20608/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":16604,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-api-management","downloads":2163,"revisionId":26307,"revision":2,"name":"Azure / API Management","description":"Dashboard for API Management service. Monitors health, API, operations, and requests. Contains panels which utilize App Insights and Log Analytics (if enabled).","readme":"This is a dashboard built for Azure API Management. Since the user can choose whether they enable App Insights and/or Log Analytics, the dashboard is split into rows based on data source. The Overview row contains health/request metrics from API Management itself, the Log Analytics row contains calls by API/operation and recent requests, and the other three rows are for Application Insights data and focus on health, operations, and requests.\r\n\r\nCreated by: Vikram Bala (t-vikrambala@microsoft.com)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2022-07-19T17:47:47.000Z","updatedAt":"2023-10-26T16:39:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16604"},{"rel":"revisions","href":"/dashboards/16604/revisions"},{"rel":"revision","href":"/dashboards/16604/revisions/2"},{"rel":"download","href":"/dashboards/16604/revisions/2/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/16604/images"},{"rel":"thumbnails","href":"/dashboards/16604/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":21622,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-application-gateway-for-containers-observability","downloads":1356,"revisionId":39850,"revision":4,"name":"Azure / Application Gateway for Containers / Observability","description":"How to activate this dashboard?\nWelcome to the Azure Application for Container Grafana Dashboard. Learn more about dashboard.\n\nChoose your resource group and related workspace that sources AGCAccessLogs.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor, Prometheus","privacy":"public","createdAt":"2024-07-31T16:40:12.000Z","updatedAt":"2026-02-10T05:10:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21622"},{"rel":"revisions","href":"/dashboards/21622/revisions"},{"rel":"revision","href":"/dashboards/21622/revisions/4"},{"rel":"download","href":"/dashboards/21622/revisions/4/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/21622/images"},{"rel":"thumbnails","href":"/dashboards/21622/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource","prometheus"]},{"id":21177,"status":1,"statusCode":"active","orgId":1137550,"orgSlug":"winterex","orgName":"winterex","slug":"azure-azure-postgresql-flexible-server-monitoring","downloads":593,"revisionId":32950,"revision":1,"name":"Azure / Azure PostgreSQL / Flexible Server Monitoring","description":"Azure monitor dashboard for Azure Database for PostgreSQL Flexible Server health including server health, resource usage (cpu, memory, iops, storage), connections, throughput, latency etc.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, Azure Monitor","privacy":"public","createdAt":"2024-05-30T14:17:37.000Z","updatedAt":"2024-05-30T14:17:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21177"},{"rel":"revisions","href":"/dashboards/21177/revisions"},{"rel":"revision","href":"/dashboards/21177/revisions/1"},{"rel":"download","href":"/dashboards/21177/revisions/1/download"},{"rel":"org","href":"/orgs/winterex"},{"rel":"images","href":"/dashboards/21177/images"},{"rel":"thumbnails","href":"/dashboards/21177/thumbnails"}],"datasourceSlugs":["__expr__","grafana-azure-monitor-datasource"]},{"id":16591,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-container-apps-aggregate-view","downloads":1794,"revisionId":37990,"revision":5,"name":"Azure / Container Apps / Aggregate View","description":"Aggregate view of all Container Apps in a selected Container App Environment. Links to individual Container App View dashboards.","readme":"This is one of two dashboards built for Azure Container Apps. This dashboard is environment-based, aggregating all the container apps in an environment and allowing the user to filter by region via Azure Resource Graph. This dashboard is especially useful if a user has multiple environments in a resource group and wants to monitor a specific environment.\r\n\r\nCreated by: Vikram Bala (t-vikrambala@microsoft.com)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2022-07-18T18:14:13.000Z","updatedAt":"2025-08-06T17:43:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16591"},{"rel":"revisions","href":"/dashboards/16591/revisions"},{"rel":"revision","href":"/dashboards/16591/revisions/5"},{"rel":"download","href":"/dashboards/16591/revisions/5/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/16591/images"},{"rel":"thumbnails","href":"/dashboards/16591/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":16592,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-container-apps-container-app-view","downloads":3074,"revisionId":37991,"revision":5,"name":"Azure / Container Apps / Container App View","description":"","readme":"This is one of two dashboards built for Azure Container Apps. This dashboard is app-based, displaying seven key metrics for a container app using Azure Monitor metrics and Azure Resource Graph. These are: CPU, memory, requests, replica count, replica restart count, network in bytes, and network out bytes. The dashboard also has additional rows for metrics by dimension (e.g. viewing requests by status code).\r\n\r\nCreated by: Vikram Bala (t-vikrambala@microsoft.com)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2022-07-18T18:50:37.000Z","updatedAt":"2025-08-06T17:44:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16592"},{"rel":"revisions","href":"/dashboards/16592/revisions"},{"rel":"revision","href":"/dashboards/16592/revisions/5"},{"rel":"download","href":"/dashboards/16592/revisions/5/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/16592/images"},{"rel":"thumbnails","href":"/dashboards/16592/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":19206,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-defender-for-cloud-active-alerts","downloads":11243,"revisionId":37452,"revision":2,"name":"Azure / Defender for Cloud / Active Alerts","description":"Alert dashboard for Defender for Cloud (MDC)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2023-07-20T20:42:04.000Z","updatedAt":"2025-06-05T18:12:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19206"},{"rel":"revisions","href":"/dashboards/19206/revisions"},{"rel":"revision","href":"/dashboards/19206/revisions/2"},{"rel":"download","href":"/dashboards/19206/revisions/2/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/19206/images"},{"rel":"thumbnails","href":"/dashboards/19206/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":21257,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-infrastructure-apps-monitoring","downloads":1689,"revisionId":37562,"revision":3,"name":"Azure / Infrastructure / Apps Monitoring","description":"This dashboard displays traffic-light indicators to show the health of your Azure infrastructure resources based on key performance indicators and thresholds defined for each infrastructure resource type.  The KPIs and thresholds come from Azure Monitor Baseline Alerts (https://azure.github.io/azure-monitor-baseline-alerts/).  \r\n\r\nPrerequisites:\r\nThe queries used in the dashboard require that you have resource metrics being sent to a Log Analytics Workspace. The AzureMetrics and AzureDiagnostics tables are required.  This can be achieved through a resource’s diagnostic settings. For detailed instructions, refer to Azure Monitor Essentials: Diagnostic Settings:  https://learn.microsoft.com/en-us/azure/azure-monitor/essentials/diagnostic-settings#metrics\r\n\r\nThis is one of a collection of dashboards linked together via dashboard links and the \"azure-infra-monitor\" tag.  Other dashboards in the collection include:\r\nAzure / Infrastructure / Network Monitoring\r\nAzure / Infrastructure / Storage and Key Vaults Monitoring\r\nAzure / Infrastructure / Compute Monitoring\r\nAzure / Infrastructure / Data Monitoring\r\n\r\nThe other dashboards in this collection can be found in the Azure Monitor Team Grafana library here:  https://grafana.com/orgs/azure/dashboards.  Once imported, you will be able to access these dashboards using the Azure Infra Monitoring Dashboards tab.","readme":"# Azure / Infrastructure / Apps Monitoring\r\n\r\nThis dashboard displays traffic-light indicators to show the health of your Azure infrastructure resources based on key performance indicators and thresholds defined for each infrastructure resource type.  The KPIs and thresholds come from [Azure Monitor Baseline Alerts](https://azure.github.io/azure-monitor-baseline-alerts/).\r\n\r\n## Prerequisites\r\n\r\nThe queries used in the dashboard require that you have resource metrics and diagnostics being sent to a Log Analytics Workspace. The AzureMetrics and AzureDiagnostics tables are required.  This can be achieved through a resource’s diagnostic settings. For detailed instructions, refer to [Azure Monitor Diagnostic Settings](https://learn.microsoft.com/en-us/azure/azure-monitor/essentials/diagnostic-settings#metrics)\r\n\r\n## Infrastructure Dashboard Collection\r\n\r\nThis is one of a collection of dashboards linked together via dashboard links and the \"azure-infra-monitor\" tag.  Other dashboards in the collection include:\r\n\r\n- Azure / Infrastructure / Network Monitoring\r\n- Azure / Infrastructure / Storage and Key Vaults Monitoring\r\n- Azure / Infrastructure / Compute Monitoring\r\n- Azure / Infrastructure / Data Monitoring\r\n\r\nThe other dashboards in this collection can be found in the [Azure Monitor Grafana Library](https://grafana.com/orgs/azure/dashboards).  Once imported, you will be able to access these dashboards using the Azure Infra Monitoring Dashboards tab.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2024-06-07T21:55:15.000Z","updatedAt":"2025-06-23T16:11:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21257"},{"rel":"revisions","href":"/dashboards/21257/revisions"},{"rel":"revision","href":"/dashboards/21257/revisions/3"},{"rel":"download","href":"/dashboards/21257/revisions/3/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/21257/images"},{"rel":"thumbnails","href":"/dashboards/21257/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":19943,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-infrastructure-compute-monitoring","downloads":2436,"revisionId":37563,"revision":5,"name":"Azure / Infrastructure / Compute Monitoring","description":"This dashboard displays traffic-light indicators to show the health of your Azure infrastructure resources based on key performance indicators and thresholds defined for each infrastructure resource type.  The KPIs and thresholds come from Azure Monitor Baseline Alerts (https://azure.github.io/azure-monitor-baseline-alerts/).  \r\n\r\nPrerequisites:\r\nThe queries used in the dashboard require that you have resource metrics being sent to a Log Analytics Workspace. The InsightsMetrics table is required.  Enable VM Insights by following the instructions provided here:  https://learn.microsoft.com/en-us/azure/azure-monitor/vm/vminsights-enable-overview\r\n\r\nThis is one of a collection of dashboards linked together via dashboard links and the \"azure-infra-monitor\" tag.  Other dashboards in the collection include:\r\nAzure / Infrastructure / Network Monitoring\r\nAzure / Infrastructure / Storage and Key Vaults Monitoring\r\nAzure / Infrastructure / Apps Monitoring\r\nAzure / Infrastructure / Data Monitoring\r\n\r\nThe other dashboards in this collection can be found in the Azure Monitor Team Grafana library here:  https://grafana.com/orgs/azure/dashboards.  Once imported, you will be able to access these dashboards using the Azure Infra Monitoring Dashboards tab.","readme":"# Azure / Infrastructure / Compute Monitoring\r\n\r\nThis dashboard displays traffic-light indicators to show the health of your Azure infrastructure resources based on key performance indicators and thresholds defined for each infrastructure resource type.  The KPIs and thresholds come from [Azure Monitor Baseline Alerts](https://azure.github.io/azure-monitor-baseline-alerts/).\r\n\r\n## Prerequisites\r\n\r\nThe queries used in the dashboard require that you have resource metrics being sent to a Log Analytics Workspace. The InsightsMetrics table is required.  For detailed instructions, refer to [Azure Monitor Enable VM Insights](https://learn.microsoft.com/en-us/azure/azure-monitor/vm/vminsights-enable?tabs=portal)\r\n\r\n## Infrastructure Dashboard Collection\r\n\r\nThis is one of a collection of dashboards linked together via dashboard links and the \"azure-infra-monitor\" tag.  Other dashboards in the collection include:\r\n\r\n- Azure / Infrastructure / Network Monitoring\r\n- Azure / Infrastructure / Storage and Key Vaults Monitoring\r\n- Azure / Infrastructure / Apps Monitoring\r\n- Azure / Infrastructure / Data Monitoring\r\n\r\nThe other dashboards in this collection can be found in the [Azure Monitor Grafana Library](https://grafana.com/orgs/azure/dashboards).  Once imported, you will be able to access these dashboards using the Azure Infra Monitoring Dashboards tab.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2023-11-09T16:56:01.000Z","updatedAt":"2025-06-23T16:12:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19943"},{"rel":"revisions","href":"/dashboards/19943/revisions"},{"rel":"revision","href":"/dashboards/19943/revisions/5"},{"rel":"download","href":"/dashboards/19943/revisions/5/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/19943/images"},{"rel":"thumbnails","href":"/dashboards/19943/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":21256,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-infrastructure-data-monitoring","downloads":2393,"revisionId":37564,"revision":3,"name":"Azure / Infrastructure / Data Monitoring","description":"This dashboard displays traffic-light indicators to show the health of your Azure infrastructure resources based on key performance indicators and thresholds defined for each infrastructure resource type.  The KPIs and thresholds come from Azure Monitor Baseline Alerts (https://azure.github.io/azure-monitor-baseline-alerts/).  \r\n\r\nPrerequisites:\r\nThe queries used in the dashboard require that you have resource metrics being sent to a Log Analytics Workspace. The AzureMetrics and AzureDiagnostics tables are required.  This can be achieved through a resource’s diagnostic settings. For detailed instructions, refer to Azure Monitor Essentials: Diagnostic Settings:  https://learn.microsoft.com/en-us/azure/azure-monitor/essentials/diagnostic-settings#metrics\r\n\r\nThis is one of a collection of dashboards linked together via dashboard links and the \"azure-infra-monitor\" tag.  Other dashboards in the collection include:\r\nAzure / Infrastructure / Network Monitoring\r\nAzure / Infrastructure / Storage and Key Vaults Monitoring\r\nAzure / Infrastructure / Compute Monitoring\r\nAzure / Infrastructure / Apps Monitoring\r\n\r\nThe other dashboards in this collection can be found in the Azure Monitor Team Grafana library here:  https://grafana.com/orgs/azure/dashboards.  Once imported, you will be able to access these dashboards using the Azure Infra Monitoring Dashboards tab.","readme":"# Azure / Infrastructure / Data Monitoring\r\n\r\nThis dashboard displays traffic-light indicators to show the health of your Azure infrastructure resources based on key performance indicators and thresholds defined for each infrastructure resource type.  The KPIs and thresholds come from [Azure Monitor Baseline Alerts](https://azure.github.io/azure-monitor-baseline-alerts/).\r\n\r\n## Prerequisites\r\n\r\nThe queries used in the dashboard require that you have resource metrics and diagnostics being sent to a Log Analytics Workspace. The AzureMetrics and AzureDiagnostics tables are required.  This can be achieved through a resource’s diagnostic settings. For detailed instructions, refer to [Azure Monitor Diagnostic Settings](https://learn.microsoft.com/en-us/azure/azure-monitor/essentials/diagnostic-settings#metrics)\r\n\r\n## Infrastructure Dashboard Collection\r\n\r\nThis is one of a collection of dashboards linked together via dashboard links and the \"azure-infra-monitor\" tag.  Other dashboards in the collection include:\r\n\r\n- Azure / Infrastructure / Network Monitoring\r\n- Azure / Infrastructure / Storage and Key Vaults Monitoring\r\n- Azure / Infrastructure / Apps Monitoring\r\n- Azure / Infrastructure / Compute Monitoring\r\n\r\nThe other dashboards in this collection can be found in the [Azure Monitor Grafana Library](https://grafana.com/orgs/azure/dashboards).  Once imported, you will be able to access these dashboards using the Azure Infra Monitoring Dashboards tab.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2024-06-07T21:53:29.000Z","updatedAt":"2025-06-23T16:13:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21256"},{"rel":"revisions","href":"/dashboards/21256/revisions"},{"rel":"revision","href":"/dashboards/21256/revisions/3"},{"rel":"download","href":"/dashboards/21256/revisions/3/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/21256/images"},{"rel":"thumbnails","href":"/dashboards/21256/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":22324,"status":1,"statusCode":"active","orgId":1276439,"orgSlug":"mdorfman2013","orgName":"mdorfman2013","slug":"azure-infrastructure-data-monitoring","downloads":382,"revisionId":35071,"revision":1,"name":"Azure / Infrastructure / Data Monitoring","description":"This dashboard displays traffic-light indicators to show the health of your Azure infrastructure resources based on key performance indicators and thresholds defined for each infrastructure resource type.  The KPIs and thresholds come from Azure Monitor Baseline Alerts (https://azure.github.io/azure-monitor-baseline-alerts/).  ","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor, JSON API","privacy":"public","createdAt":"2024-11-17T03:59:43.000Z","updatedAt":"2024-11-17T04:05:37.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22324"},{"rel":"revisions","href":"/dashboards/22324/revisions"},{"rel":"revision","href":"/dashboards/22324/revisions/1"},{"rel":"download","href":"/dashboards/22324/revisions/1/download"},{"rel":"org","href":"/orgs/mdorfman2013"},{"rel":"images","href":"/dashboards/22324/images"},{"rel":"thumbnails","href":"/dashboards/22324/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource","marcusolsson-json-datasource"]},{"id":21255,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-infrastructure-network-monitoring","downloads":1825,"revisionId":37565,"revision":3,"name":"Azure / Infrastructure / Network Monitoring","description":"This dashboard displays traffic-light indicators to show the health of your Azure infrastructure resources based on key performance indicators and thresholds defined for each infrastructure resource type.  The KPIs and thresholds come from Azure Monitor Baseline Alerts (https://azure.github.io/azure-monitor-baseline-alerts/).  \r\n\r\nPrerequisites:\r\nThe queries used in the dashboard require that you have resource metrics being sent to a Log Analytics Workspace. The AzureMetrics table is required.  This can be achieved through a resource’s diagnostic settings. For detailed instructions, refer to Azure Monitor Essentials: Diagnostic Settings:  https://learn.microsoft.com/en-us/azure/azure-monitor/essentials/diagnostic-settings#metrics\r\n\r\nThis is one of a collection of dashboards linked together via dashboard links and the \"azure-infra-monitor\" tag.  Other dashboards in the collection include:\r\nAzure / Infrastructure / Apps Monitoring\r\nAzure / Infrastructure / Storage and Key Vaults Monitoring\r\nAzure / Infrastructure / Compute Monitoring\r\nAzure / Infrastructure / Data Monitoring\r\n\r\nThe other dashboards in this collection can be found in the Azure Monitor Team Grafana library here:  https://grafana.com/orgs/azure/dashboards.  Once imported, you will be able to access these dashboards using the Azure Infra Monitoring Dashboards tab.","readme":"# Azure / Infrastructure / Network Monitoring\r\n\r\nThis dashboard displays traffic-light indicators to show the health of your Azure infrastructure resources based on key performance indicators and thresholds defined for each infrastructure resource type.  The KPIs and thresholds come from [Azure Monitor Baseline Alerts](https://azure.github.io/azure-monitor-baseline-alerts/).\r\n\r\n## Prerequisites\r\n\r\nThe queries used in the dashboard require that you have resource metrics being sent to a Log Analytics Workspace. The AzureMetrics table is required.  This can be achieved through a resource’s diagnostic settings. For detailed instructions, refer to [Azure Monitor Diagnostic Settings](https://learn.microsoft.com/en-us/azure/azure-monitor/essentials/diagnostic-settings#metrics)\r\n\r\n## Infrastructure Dashboard Collection\r\n\r\nThis is one of a collection of dashboards linked together via dashboard links and the \"azure-infra-monitor\" tag.  Other dashboards in the collection include:\r\n\r\n- Azure / Infrastructure / Data Monitoring\r\n- Azure / Infrastructure / Storage and Key Vaults Monitoring\r\n- Azure / Infrastructure / Apps Monitoring\r\n- Azure / Infrastructure / Compute Monitoring\r\n\r\nThe other dashboards in this collection can be found in the [Azure Monitor Grafana Library](https://grafana.com/orgs/azure/dashboards).  Once imported, you will be able to access these dashboards using the Azure Infra Monitoring Dashboards tab.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2024-06-07T21:49:37.000Z","updatedAt":"2025-06-23T16:13:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21255"},{"rel":"revisions","href":"/dashboards/21255/revisions"},{"rel":"revision","href":"/dashboards/21255/revisions/3"},{"rel":"download","href":"/dashboards/21255/revisions/3/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/21255/images"},{"rel":"thumbnails","href":"/dashboards/21255/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":14986,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-infrastructure-resources-overview","downloads":15294,"revisionId":37448,"revision":6,"name":"Azure / Infrastructure / Resources Overview","description":"The dashboard provides insights of Azure Resource Graph Explorer overview, compute, Paas, networking, monitoring and security. Queries used in this Azure Monitor dashboard we sourced from the [Azure Inventory Workbook](https://github.com/scautomation/Azure-Inventory-Workbook) by Billy York. You can find more sample Azure Resource Graph queries by Billy at this [GitHub](https://github.com/scautomation/AzureResourceGraph-Examples) repository.","readme":"Queries used in this Azure Monitor dashboard we sourced from the [Azure Inventory Workbook](https://github.com/scautomation/Azure-Inventory-Workbook) by Billy York. You can find more sample Azure Resource Graph queries by Billy at this [GitHub](https://github.com/scautomation/AzureResourceGraph-Examples) repository.\r\n\r\nMore information:\r\n- [Set up Azure Monitor data source](https://grafana.com/docs/grafana/next/datasources/azuremonitor/)\r\n- [Azure Monitor](https://docs.microsoft.com/en-us/azure/azure-monitor/)\r\n- [About Azure Resource Graph](https://docs.microsoft.com/en-us/azure/governance/resource-graph/)\r\n\r\nSend your feedback to [azmongrafana@microsoft.com](mailto:azmongrafana@microsoft.com)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2021-09-10T00:27:22.000Z","updatedAt":"2025-06-05T18:08:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14986"},{"rel":"revisions","href":"/dashboards/14986/revisions"},{"rel":"revision","href":"/dashboards/14986/revisions/6"},{"rel":"download","href":"/dashboards/14986/revisions/6/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/14986/images"},{"rel":"thumbnails","href":"/dashboards/14986/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":21253,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-infrastructure-storage-and-key-vaults-monitoring","downloads":1604,"revisionId":37566,"revision":3,"name":"Azure / Infrastructure / Storage and Key Vaults Monitoring","description":"This dashboard displays traffic-light indicators to show the health of your Azure infrastructure resources based on key performance indicators and thresholds defined for each infrastructure resource type.  The KPIs and thresholds come from Azure Monitor Baseline Alerts (https://azure.github.io/azure-monitor-baseline-alerts/).  \n\nPrerequisites:\nThe queries used in the dashboard require that you have resource metrics being sent to a Log Analytics Workspace. The AzureMetrics and AzureDiagnostics tables are required.  This can be achieved through a resource’s diagnostic settings. For detailed instructions, refer to Azure Monitor Essentials: Diagnostic Settings:  https://learn.microsoft.com/en-us/azure/azure-monitor/essentials/diagnostic-settings#metrics\n\nThis is one of a collection of dashboards linked together via dashboard links and the \"azure-infra-monitor\" tag.  Other dashboards in the collection include:\nAzure / Infrastructure / Network Monitoring\nAzure / Infrastructure / Apps Monitoring\nAzure / Infrastructure / Compute Monitoring\nAzure / Infrastructure / Data Monitoring\n\nThe other dashboards in this collection can be found in the Azure Monitor Team Grafana library here:  https://grafana.com/orgs/azure/dashboards.  Once imported, you will be able to access these dashboards using the Azure Infra Monitoring Dashboards tab. ","readme":"# Azure / Infrastructure / Storage and Key Vaults Monitoring\r\n\r\nThis dashboard displays traffic-light indicators to show the health of your Azure infrastructure resources based on key performance indicators and thresholds defined for each infrastructure resource type.  The KPIs and thresholds come from [Azure Monitor Baseline Alerts](https://azure.github.io/azure-monitor-baseline-alerts/).  \r\n\r\n## Prerequisites\r\n\r\nThe queries used in the dashboard require that you have resource metrics and diagnostics being sent to a Log Analytics Workspace. The AzureMetrics and AzureDiagnostics tables are required.  This can be achieved through a resource’s diagnostic settings. For detailed instructions, refer to [Azure Monitor Diagnostic Settings](https://learn.microsoft.com/en-us/azure/azure-monitor/essentials/diagnostic-settings#metrics)\r\n\r\n## Infrastructure Dashboard Collection\r\n\r\nThis is one of a collection of dashboards linked together via dashboard links and the \"azure-infra-monitor\" tag.  Other dashboards in the collection include:\r\n\r\n- Azure / Infrastructure / Data Monitoring\r\n- Azure / Infrastructure / Network Monitoring\r\n- Azure / Infrastructure / Apps Monitoring\r\n- Azure / Infrastructure / Compute Monitoring\r\n\r\nThe other dashboards in this collection can be found in the [Azure Monitor Grafana Library](https://grafana.com/orgs/azure/dashboards).  Once imported, you will be able to access these dashboards using the Azure Infra Monitoring Dashboards tab.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2024-06-07T17:49:14.000Z","updatedAt":"2025-06-23T16:14:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21253"},{"rel":"revisions","href":"/dashboards/21253/revisions"},{"rel":"revision","href":"/dashboards/21253/revisions/3"},{"rel":"download","href":"/dashboards/21253/revisions/3/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/21253/images"},{"rel":"thumbnails","href":"/dashboards/21253/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":19787,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-insights-applications-failures-1-operations","downloads":2066,"revisionId":37432,"revision":2,"name":"Azure / Insights / Applications - Failures - 1. Operations","description":"The dashboard provides insights of operation failures through Application Insights.","readme":"Using Azure Monitor data source, this dashboard provides insights for request performance of your Azure Applications with trace viewing capabilities that will allow you to better troubleshoot your application’s usage, reliability, responsiveness and browser usage. \r\n\r\nMore information:\r\n- [Set up Azure Monitor data source](https://grafana.com/docs/grafana/next/datasources/azuremonitor/)\r\n- [Azure Monitor](https://docs.microsoft.com/en-us/azure/azure-monitor/)\r\n\r\nSend your feedback to [azmongrafana@microsoft.com](mailto:azmongrafana@microsoft.com)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2023-10-17T17:46:37.000Z","updatedAt":"2025-06-05T17:09:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19787"},{"rel":"revisions","href":"/dashboards/19787/revisions"},{"rel":"revision","href":"/dashboards/19787/revisions/2"},{"rel":"download","href":"/dashboards/19787/revisions/2/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/19787/images"},{"rel":"thumbnails","href":"/dashboards/19787/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":19788,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-insights-applications-failures-2-dependencies","downloads":1744,"revisionId":37433,"revision":2,"name":"Azure / Insights / Applications - Failures - 2. Dependencies","description":"The dashboard provides insights of dependency failures through Application Insights.","readme":"Using Azure Monitor data source, this dashboard provides insights for dependency performance of your Azure Applications with trace viewing capabilities that will allow you to better troubleshoot your application’s usage, reliability, responsiveness and browser usage. You’ll have access to key details like server requests, failed requests, server response time, among others.\r\n\r\nMore information:\r\n- [Set up Azure Monitor data source](https://grafana.com/docs/grafana/next/datasources/azuremonitor/)\r\n- [Azure Monitor](https://docs.microsoft.com/en-us/azure/azure-monitor/)\r\n\r\nSend your feedback to [azmongrafana@microsoft.com](mailto:azmongrafana@microsoft.com)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2023-10-17T17:52:25.000Z","updatedAt":"2025-06-05T17:10:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19788"},{"rel":"revisions","href":"/dashboards/19788/revisions"},{"rel":"revision","href":"/dashboards/19788/revisions/2"},{"rel":"download","href":"/dashboards/19788/revisions/2/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/19788/images"},{"rel":"thumbnails","href":"/dashboards/19788/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":19789,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-insights-applications-failures-3-exceptions","downloads":1893,"revisionId":37434,"revision":2,"name":"Azure / Insights / Applications - Failures - 3. Exceptions","description":"The dashboard provides insights of exceptions through Application Insights.","readme":"Using Azure Monitor data source, this dashboard provides insights for exceptions of your Azure Applications with trace viewing capabilities that will allow you to better troubleshoot your application’s usage, reliability, responsiveness and browser usage.\r\n\r\nMore information:\r\n- [Set up Azure Monitor data source](https://grafana.com/docs/grafana/next/datasources/azuremonitor/)\r\n- [Azure Monitor](https://docs.microsoft.com/en-us/azure/azure-monitor/)\r\n\r\nSend your feedback to [azmongrafana@microsoft.com](mailto:azmongrafana@microsoft.com)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2023-10-17T17:57:54.000Z","updatedAt":"2025-06-05T17:10:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19789"},{"rel":"revisions","href":"/dashboards/19789/revisions"},{"rel":"revision","href":"/dashboards/19789/revisions/2"},{"rel":"download","href":"/dashboards/19789/revisions/2/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/19789/images"},{"rel":"thumbnails","href":"/dashboards/19789/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":15136,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-insights-applications-overview","downloads":6301,"revisionId":37435,"revision":8,"name":"Azure / Insights / Applications - Overview","description":"The dashboard provides insights of Azure Apps via different metrics for app monitoring through Application Insights.","readme":"Using Azure Monitor data source, this dashboard provides insights for app monitoring through a number of Application Insights metrics that will allow you to better understand your application's usage, reliability, responsiveness and browser usage. You'll have access to key details like server requests, failed requests, server response time, among others.\n\nMore information:\n- [Set up Azure Monitor data source](https://grafana.com/docs/grafana/next/datasources/azuremonitor/)\n- [Azure Monitor](https://docs.microsoft.com/en-us/azure/azure-monitor/)\n\nSend your feedback to [azmongrafana@microsoft.com](mailto:azmongrafana@microsoft.com)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2021-10-20T20:12:39.000Z","updatedAt":"2025-06-05T17:11:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15136"},{"rel":"revisions","href":"/dashboards/15136/revisions"},{"rel":"revision","href":"/dashboards/15136/revisions/8"},{"rel":"download","href":"/dashboards/15136/revisions/8/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/15136/images"},{"rel":"thumbnails","href":"/dashboards/15136/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":20972,"status":1,"statusCode":"active","orgId":1112865,"orgSlug":"nickfurness","orgName":"nickfurness","slug":"azure-insights-applications-overview","downloads":298,"revisionId":32580,"revision":1,"name":"Azure / Insights / Applications - Overview","description":"The dashboard provides insights of Azure Apps via different metrics for app monitoring through Application Insights.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2024-04-29T13:51:51.000Z","updatedAt":"2024-04-29T13:52:17.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20972"},{"rel":"revisions","href":"/dashboards/20972/revisions"},{"rel":"revision","href":"/dashboards/20972/revisions/1"},{"rel":"download","href":"/dashboards/20972/revisions/1/download"},{"rel":"org","href":"/orgs/nickfurness"},{"rel":"images","href":"/dashboards/20972/images"},{"rel":"thumbnails","href":"/dashboards/20972/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":19785,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-insights-applications-performance-1-operations","downloads":1874,"revisionId":37436,"revision":2,"name":"Azure / Insights / Applications - Performance - 1. Operations","description":"The dashboard provides insights of request performance of Azure Apps through Application Insights.","readme":"Using Azure Monitor data source, this dashboard provides insights for request performance of your Azure Applications with links to view traces within Grafana that will allow you to better troubleshoot your application’s usage, reliability, responsiveness and browser usage. You’ll have access to key details like server requests, failed requests, server response time, among others.\r\n\r\nMore information:\r\n- [Set up Azure Monitor data source](https://grafana.com/docs/grafana/next/datasources/azuremonitor/)\r\n- [Azure Monitor](https://docs.microsoft.com/en-us/azure/azure-monitor/)\r\n\r\nSend your feedback to [azmongrafana@microsoft.com](mailto:azmongrafana@microsoft.com)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2023-10-17T16:52:16.000Z","updatedAt":"2025-06-05T17:11:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19785"},{"rel":"revisions","href":"/dashboards/19785/revisions"},{"rel":"revision","href":"/dashboards/19785/revisions/2"},{"rel":"download","href":"/dashboards/19785/revisions/2/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/19785/images"},{"rel":"thumbnails","href":"/dashboards/19785/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":19786,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-insights-applications-performance-2-dependencies","downloads":1785,"revisionId":37437,"revision":3,"name":"Azure / Insights / Applications - Performance - 2. Dependencies","description":"The dashboard provides insights of dependency performance of Azure Apps through Application Insights.","readme":"Using Azure Monitor data source, this dashboard provides insights for dependency performance of your Azure Applications with trace viewing capabilities that will allow you to better troubleshoot your application’s usage, reliability, responsiveness and browser usage. You’ll have access to key details like server requests, failed requests, server response time, among others.\r\n\r\nMore information:\r\n- [Set up Azure Monitor data source](https://grafana.com/docs/grafana/next/datasources/azuremonitor/)\r\n- [Azure Monitor](https://docs.microsoft.com/en-us/azure/azure-monitor/)\r\n\r\nSend your feedback to [azmongrafana@microsoft.com](mailto:azmongrafana@microsoft.com)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2023-10-17T17:13:18.000Z","updatedAt":"2025-06-05T17:12:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19786"},{"rel":"revisions","href":"/dashboards/19786/revisions"},{"rel":"revision","href":"/dashboards/19786/revisions/3"},{"rel":"download","href":"/dashboards/19786/revisions/3/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/19786/images"},{"rel":"thumbnails","href":"/dashboards/19786/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":24337,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-insights-applications-otel-http","downloads":29,"revisionId":38926,"revision":1,"name":"Azure / Insights / Applications / OTel / HTTP","description":"Azure Monitor Application Insights with OpenTelemetry Metrics (HTTP)\r\n\r\nThis dashboard requires OpenTelemetry metrics to be ingested into an Application Insights resource with OTLP enabled.\r\nFor onboarding instructions, see [App Insights with OTel](https://aka.ms/AppInsightswithOTel)\r\n\r\n*Note: This dashboard should only be used for metrics which are ingested in cumulative temporality, the default setting for the Application Insights OpenTelemetry distro. [Learn More](https://aka.ms/OtelMetricTemp)*","readme":"**Azure Monitor Application Insights with OpenTelemetry Metrics (HTTP)**\r\nThis dashboard requires OpenTelemetry metrics to be ingested into an Application Insights resource with OTLP enabled.\r\nFor onboarding instructions, see [App Insights with OTel](https://aka.ms/AppInsightswithOTel)\r\n\r\n*Note: This dashboard should only be used for metrics which are ingested in cumulative temporality, the default setting for the Application Insights OpenTelemetry distro. [Learn More](https://aka.ms/OtelMetricTemp)*","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor, Prometheus","privacy":"public","createdAt":"2025-11-05T19:32:20.000Z","updatedAt":"2026-03-30T21:28:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24337"},{"rel":"revisions","href":"/dashboards/24337/revisions"},{"rel":"revision","href":"/dashboards/24337/revisions/1"},{"rel":"download","href":"/dashboards/24337/revisions/1/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/24337/images"},{"rel":"thumbnails","href":"/dashboards/24337/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource","prometheus"]},{"id":24338,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-insights-applications-otel-http-aks","downloads":20,"revisionId":38927,"revision":1,"name":"Azure / Insights / Applications / OTel / HTTP AKS","description":"Azure Monitor Application Insights with OpenTelemetry Metrics (HTTP) on Azure Kubernetes Service (AKS)\r\n\r\nThis dashboard requires OpenTelemetry metrics to be ingested into an Application Insights resource with OTLP enabled.\r\nFor onboarding instructions, see [App Insights with OTel](https://aka.ms/AppInsightswithOTel)\r\n\r\n*Note: This dashboard should only be used for metrics which are ingested in cumulative temporality, the default setting for the Application Insights OpenTelemetry distro. [Learn More](https://aka.ms/OtelMetricTemp)*","readme":"### Azure Monitor Application Insights with OpenTelemetry Metrics (HTTP) on **Azure Kubernetes Service (AKS)**\r\n\r\nThis dashboard requires OpenTelemetry metrics to be ingested into an Application Insights resource with OTLP enabled.\r\nFor onboarding instructions, see [App Insights with OTel](https://aka.ms/AppInsightswithOTel)\r\n\r\n*Note: This dashboard should only be used for metrics which are ingested in cumulative temporality, the default setting for the Application Insights OpenTelemetry distro. [Learn More](https://aka.ms/OtelMetricTemp)*","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor, Prometheus","privacy":"public","createdAt":"2025-11-05T19:44:16.000Z","updatedAt":"2026-03-30T21:30:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24338"},{"rel":"revisions","href":"/dashboards/24338/revisions"},{"rel":"revision","href":"/dashboards/24338/revisions/1"},{"rel":"download","href":"/dashboards/24338/revisions/1/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/24338/images"},{"rel":"thumbnails","href":"/dashboards/24338/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource","prometheus"]},{"id":25049,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-insights-applications-otel-http-delta","downloads":25,"revisionId":40271,"revision":1,"name":"Azure / Insights / Applications / OTel / HTTP Delta","description":"Azure Monitor Application Insights with OpenTelemetry Metrics (HTTP). 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[Learn More](https://aka.ms/OtelMetricTemp)*","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-03-23T14:34:17.000Z","updatedAt":"2026-03-30T21:31:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25049"},{"rel":"revisions","href":"/dashboards/25049/revisions"},{"rel":"revision","href":"/dashboards/25049/revisions/1"},{"rel":"download","href":"/dashboards/25049/revisions/1/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/25049/images"},{"rel":"thumbnails","href":"/dashboards/25049/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24339,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-insights-applications-otel-rpc","downloads":21,"revisionId":38928,"revision":1,"name":"Azure / Insights / Applications / OTel / RPC","description":"Azure Monitor Application Insights with OpenTelemetry Metrics (RPC)\r\n\r\nThis dashboard requires OpenTelemetry metrics to be ingested into an Application Insights resource with OTLP enabled.","readme":"### Azure Monitor Application Insights with OpenTelemetry Metrics (RPC)\r\n\r\nThis dashboard requires OpenTelemetry metrics to be ingested into an Application Insights resource with OTLP enabled.\r\nFor onboarding instructions, see [App Insights with OTel](https://aka.ms/AppInsightswithOTel)\r\n\r\n*Note: This dashboard should only be used for metrics which are ingested in cumulative temporality, the default setting for the Application Insights OpenTelemetry distro. [Learn More](https://aka.ms/OtelMetricTemp)*","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor, Prometheus","privacy":"public","createdAt":"2025-11-05T19:46:21.000Z","updatedAt":"2026-03-30T21:31:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24339"},{"rel":"revisions","href":"/dashboards/24339/revisions"},{"rel":"revision","href":"/dashboards/24339/revisions/1"},{"rel":"download","href":"/dashboards/24339/revisions/1/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/24339/images"},{"rel":"thumbnails","href":"/dashboards/24339/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource","prometheus"]},{"id":24340,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-insights-applications-otel-rpc-aks","downloads":20,"revisionId":38929,"revision":1,"name":"Azure / Insights / Applications / OTel / RPC AKS","description":"Azure Monitor Application Insights with OpenTelemetry Metrics (RPC) on **Azure Kubernetes Service (AKS)**\r\n\r\nThis dashboard requires OpenTelemetry metrics to be ingested into an Application Insights resource with OTLP enabled.","readme":"### Azure Monitor Application Insights with OpenTelemetry Metrics (RPC) on **Azure Kubernetes Service (AKS)**\r\n\r\nThis dashboard requires OpenTelemetry metrics to be ingested into an Application Insights resource with OTLP enabled.\r\nFor onboarding instructions, see [App Insights with OTel](https://aka.ms/AppInsightswithOTel)\r\n\r\n*Note: This dashboard should only be used for metrics which are ingested in cumulative temporality, the default setting for the Application Insights OpenTelemetry distro. [Learn More](https://aka.ms/OtelMetricTemp)*","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor, Prometheus","privacy":"public","createdAt":"2025-11-05T19:47:21.000Z","updatedAt":"2026-03-30T21:32:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24340"},{"rel":"revisions","href":"/dashboards/24340/revisions"},{"rel":"revision","href":"/dashboards/24340/revisions/1"},{"rel":"download","href":"/dashboards/24340/revisions/1/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/24340/images"},{"rel":"thumbnails","href":"/dashboards/24340/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource","prometheus"]},{"id":25050,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-insights-applications-otel-rpc-delta","downloads":21,"revisionId":40272,"revision":1,"name":"Azure / Insights / Applications / OTel / RPC Delta","description":"Azure Monitor Application Insights with OpenTelemetry Metrics (RPC)\r\n\r\nThis dashboard requires OpenTelemetry metrics to be ingested into an Application Insights resource with OTLP enabled.","readme":"### Azure Monitor Application Insights with OpenTelemetry Metrics (RPC)\r\n\r\nThis dashboard requires OpenTelemetry metrics to be ingested into an Application Insights resource with OTLP enabled.\r\nFor onboarding instructions, see [App Insights with OTel](https://aka.ms/AppInsightswithOTel)\r\n\r\n*Note: This dashboard should only be used for metrics which are ingested in *delta temporality and exponential histograms*, the default setting for the Application Insights OpenTelemetry distro. [Learn More](https://aka.ms/OtelMetricTemp)*","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-03-23T14:37:46.000Z","updatedAt":"2026-03-30T21:33:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25050"},{"rel":"revisions","href":"/dashboards/25050/revisions"},{"rel":"revision","href":"/dashboards/25050/revisions/1"},{"rel":"download","href":"/dashboards/25050/revisions/1/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/25050/images"},{"rel":"thumbnails","href":"/dashboards/25050/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16608,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-insights-applications-test-availability-geo-map","downloads":3503,"revisionId":37438,"revision":6,"name":"Azure / Insights / Applications Test Availability Geo Map","description":"","readme":"Using Azure Monitor data source, this dashboard provides insights on availability tests for app monitoring through a number of Application Insights metrics visualized in a Geo Map. 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A view for raw flow logs provides detailed info and timestamps.\r\n\r\nUsers can filter on namespaces, Deployments, etc. as well as protocols and more.\r\n\r\nSummary panels surface top namespaces, workloads, DNS queries, etc. regarding requests, responses, drops, and errors.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2025-03-26T16:02:57.000Z","updatedAt":"2026-03-30T21:26:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23156"},{"rel":"revisions","href":"/dashboards/23156/revisions"},{"rel":"revision","href":"/dashboards/23156/revisions/7"},{"rel":"download","href":"/dashboards/23156/revisions/7/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/23156/images"},{"rel":"thumbnails","href":"/dashboards/23156/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":23155,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-insights-containers-networking-flow-logs-basic-tier","downloads":894,"revisionId":40340,"revision":8,"name":"Azure / Insights / Containers / Networking / Flow Logs - Basic Tier","description":"Container network flow logs dashboard for monitoring network traffic, connections, and policies in Kubernetes clusters. 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A view for raw flow logs provides detailed info and timestamps.\r\n\r\nUsers can filter on namespaces, Deployments, etc. as well as protocols and more.\r\n\r\nSummary panels surface top namespaces, workloads, DNS queries, etc. regarding requests, responses, drops, and errors.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2025-03-26T15:59:24.000Z","updatedAt":"2026-03-30T21:25:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23155"},{"rel":"revisions","href":"/dashboards/23155/revisions"},{"rel":"revision","href":"/dashboards/23155/revisions/8"},{"rel":"download","href":"/dashboards/23155/revisions/8/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/23155/images"},{"rel":"thumbnails","href":"/dashboards/23155/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":19866,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-insights-containers-syslog","downloads":1556,"revisionId":37426,"revision":2,"name":"Azure / Insights / Containers / Syslog","description":"Dashboard visualizing Syslog records collected by Azure Monitor","readme":"Azure Monitor - Container Insights offers the ability to collect Syslog events from Linux nodes in your Azure Kubernetes Service (AKS) clusters. 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Cluster utilization, namespace utilization, Node cpu & memory, Node disk usage & disk io, node network & kubelet docker operation metrics. Many more metrics that are queriable from the log analytics workspace used by Azure monitor for containers!","readme":" ### Dashboard showing metrics collected by Azure Monitor for Containers from Azure Log analytics workspace. Container Insights metrics for Kubernetes clusters showing cluster utilization, namespace utilization, Node cpu & memory, Node disk usage & disk io, node network & kubelet docker operation metrics. Many more metrics that are queriable from the log analytics workspace used by Azure monitor for containers! Requires [Azure Monitor plugin included in Core Grafana Software](https://grafana.com/docs/features/datasources/azuremonitor/#querying-the-azure-log-analytics-service)\r\n\r\nSend your feedbacks to [askcoin@microsoft.com](mailto://askcoin@microsoft.com)\r\n\r\n### More Information:\r\n\r\n* [Azure Monitor for Containers](https://docs.microsoft.com/en-us/azure/azure-monitor/insights/container-insights-overview)\r\n* [Azure Monitor](https://docs.microsoft.com/en-us/azure/azure-monitor/)\r\n* [Azure Kubernetes service/AKS](https://docs.microsoft.com/en-us/azure/aks/intro-kubernetes)\r\n\r\n#### Known issue/work around:\r\n##### Due to a known issue with the data source (tracked by [this](https://github.com/grafana/grafana/issues/19722) github issue), you would need to set the Azure Log analytics workspace manually in the charts for the first time after you import the dashboard. Please upvote for the issue above so Grafana can address this issue sooner. Thank you.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2019-10-04T22:02:32.000Z","updatedAt":"2023-10-26T16:50:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":6,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/10956"},{"rel":"revisions","href":"/dashboards/10956/revisions"},{"rel":"revision","href":"/dashboards/10956/revisions/10"},{"rel":"download","href":"/dashboards/10956/revisions/10/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/10956/images"},{"rel":"thumbnails","href":"/dashboards/10956/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":24949,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-resources-virtual-machines-platform-metrics","downloads":32,"revisionId":40082,"revision":1,"name":"Azure / Resources / Virtual Machines - Platform Metrics","description":"The dashboard provides on overview of virtual machine performance and usage based on Azure Monitor platform/standard metrics.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2026-03-04T19:14:47.000Z","updatedAt":"2026-03-12T05:27:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24949"},{"rel":"revisions","href":"/dashboards/24949/revisions"},{"rel":"revision","href":"/dashboards/24949/revisions/1"},{"rel":"download","href":"/dashboards/24949/revisions/1/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/24949/images"},{"rel":"thumbnails","href":"/dashboards/24949/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":19919,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-scom-managed-instance-operational-dashboard","downloads":988,"revisionId":37449,"revision":3,"name":"Azure / SCOM Managed Instance / Operational Dashboard","description":"Operational dashboard for summary of alerts, heath and performance of monitored resources connected to SCOM managed instance.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-11-06T20:30:23.000Z","updatedAt":"2025-06-05T18:11:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19919"},{"rel":"revisions","href":"/dashboards/19919/revisions"},{"rel":"revision","href":"/dashboards/19919/revisions/3"},{"rel":"download","href":"/dashboards/19919/revisions/3/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/19919/images"},{"rel":"thumbnails","href":"/dashboards/19919/thumbnails"}]},{"id":16641,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-spring-apps","downloads":872,"revisionId":26320,"revision":4,"name":"Azure / Spring Apps","description":"Aggregate monitoring for performance, ingress, JVM, Tomcat, and App Insights","readme":"Dashboard for Azure Spring Apps. Currently split by the following:\r\n- Basic Statistics: CPU, memory, network I/O, throughput I/O, bytes I/O\r\n- JVM for Memory\r\n- JVM for GC\r\n- TomCat","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2022-07-25T22:23:46.000Z","updatedAt":"2023-10-26T16:50:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16641"},{"rel":"revisions","href":"/dashboards/16641/revisions"},{"rel":"revision","href":"/dashboards/16641/revisions/4"},{"rel":"download","href":"/dashboards/16641/revisions/4/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/16641/images"},{"rel":"thumbnails","href":"/dashboards/16641/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":11242,"status":1,"statusCode":"active","orgId":311115,"orgSlug":"bhozar","orgName":"bhozar","slug":"azure-activity-log","downloads":919,"revisionId":15691,"revision":1,"name":"Azure Activity Log","description":"https://github.com/bhozar/grafana-dashboards\nAzure Activity Logs dashboard.","readme":"# Azure Activity Log Dashboard\nDashboard to visualize Azure Activity Logs data from [Logstash Event Hubs plugin](https://www.elastic.co/guide/en/logstash/current/plugins-inputs-azure_event_hubs.html)\n\nSetup Azure Activity Log to stream data in an Azure EventHub so the ES plugin can pickup the data. Microsoft provide documentation: [Export Azure Activity log to storage or Azure Event Hubs](https://docs.microsoft.com/en-us/azure/azure-monitor/platform/activity-log-export)\n\nDashboard is setup to filter based on a subscription name by mapping the subscription GUID to a friendly name. The Logstash filter files have been provided on [GitHub](https://github.com/bhozar/grafana-dashboards/tree/master/parsedmarc) .\n\n# Bugs, suggestions and feedback\nBug reports, suggestions and feedback to [GitHub](https://github.com/bhozar/grafana-dashboards/tree/master/azureactivitylog) please!\n# Logstash Filters\n## 00-input-azureeventhubs.conf\n```\ninput {\n   azure_event_hubs {\n   event_hub_connections => [\"Endpoint=sb://XXXXXX.servicebus.windows.net/;SharedAccessKeyName=....\"]\n   decorate_events => true\n   consumer_group => \"logstash-opslogs\"\n   storage_connection => \"DefaultEndpointsProtocol=https;AccountName=...\"]\n   tags => [\"azureopslogs\"]\n   }\n}\n```\n\n## 01-filter-azure-ops-logs.conf\n```\nfilter {\nif [@metadata][azure_event_hubs][consumer_group] == \"logstash-opslogs\" {\njson {\n    source => \"message\"\n  }\n\n  if \"_jsonparsefailure\" not in [tags] {\n    split {\n      field => \"records\"\n      target => \"data\"\n    }\n\n    if \"_split_type_failure\" not in [tags] {\n      ruby{\n        code => \"\n          event.get('data').each { |k,v|\n            event.set(k, v)\n          }\n          event.remove('data')\n        \"\n        remove_field => [\"message\", \"records\"]\n      }\n\n      if \"_rubyexception\" not in [tags] {\n        azure_event{}\n\n        if \"_azure_event_failure\" not in [tags] {\n          if [callerIpAddress]{\n            geoip {\n              source => \"callerIpAddress\"\n            }\n          }\n          date {\n              match => [ \"time\", \"ISO8601\" ]\n          }\n          mutate {\n            add_field => { \"azure.metadata.azure_event_hubs.name\" => \"%{[@metadata][azure_event_hubs][name]}\" }\n            add_field => { \"azure.metadata.azure_event_hubs.consumer_group\" => \"%{[@metadata][azure_event_hubs][consumer_group]}\" }\n          }\n          translate {\n            field => \"[azure][subscription]\"\n            destination => \"azure_subscription_name\"\n             dictionary => {\n               \"XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX\" => \"Production\"\n               \"YYYYYYYY-YYYY-YYYY-YYYY-YYYYYYYYYYYY\" => \"Non-Production\"\n               }\n          }\n        }\n      }\n    }\n  }\n}\n}\n```\n\n# To Do\n* Enrich data by including a Logstash dictionary of LocalizedValue fields or operationName as they are not supplied by the Azure Log streaming system and they will make the logs more readable.\n```\n    \"operationName\": {\n        \"value\": \"Microsoft.Resourcehealth/healthevent/Activated/action\",\n        \"localizedValue\": \"Health Event Activated\"\n    },\n```\n\n# Screenshots\n![Azure Activity Log Dashboard](https://grafana.com/api/dashboards/11242/images/7197/image)\n\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2019-11-20T22:31:58.000Z","updatedAt":"2019-12-08T22:58:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/11242"},{"rel":"revisions","href":"/dashboards/11242/revisions"},{"rel":"revision","href":"/dashboards/11242/revisions/1"},{"rel":"download","href":"/dashboards/11242/revisions/1/download"},{"rel":"org","href":"/orgs/bhozar"},{"rel":"images","href":"/dashboards/11242/images"},{"rel":"thumbnails","href":"/dashboards/11242/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":21176,"status":1,"statusCode":"active","orgId":1137550,"orgSlug":"winterex","orgName":"winterex","slug":"azure-application-gataway","downloads":536,"revisionId":32949,"revision":1,"name":"Azure Application Gataway & WAF log ","description":"Azure Application Gataway & WAF ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2024-05-30T12:55:28.000Z","updatedAt":"2024-05-30T13:08:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21176"},{"rel":"revisions","href":"/dashboards/21176/revisions"},{"rel":"revision","href":"/dashboards/21176/revisions/1"},{"rel":"download","href":"/dashboards/21176/revisions/1/download"},{"rel":"org","href":"/orgs/winterex"},{"rel":"images","href":"/dashboards/21176/images"},{"rel":"thumbnails","href":"/dashboards/21176/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":18828,"status":1,"statusCode":"active","orgId":316156,"orgSlug":"shay12","orgName":"shay12","slug":"azure-application-gateways","downloads":1154,"revisionId":28870,"revision":1,"name":"Azure Application Gateways","description":"Use Azure Monitor to view  Application Gateways","readme":" Application Gateways in Azure ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2023-05-24T16:23:50.000Z","updatedAt":"2023-05-24T16:27:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18828"},{"rel":"revisions","href":"/dashboards/18828/revisions"},{"rel":"revision","href":"/dashboards/18828/revisions/1"},{"rel":"download","href":"/dashboards/18828/revisions/1/download"},{"rel":"org","href":"/orgs/shay12"},{"rel":"images","href":"/dashboards/18828/images"},{"rel":"thumbnails","href":"/dashboards/18828/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":13630,"status":1,"statusCode":"active","orgId":332961,"orgSlug":"nickliu","orgName":"nickliu","slug":"azure-applictaion-gataway","downloads":1905,"revisionId":19901,"revision":1,"name":"Azure Applictaion Gataway","description":"Azure Applictaion Gataway WAF v2","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2020-12-23T01:59:40.000Z","updatedAt":"2020-12-23T02:23:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13630"},{"rel":"revisions","href":"/dashboards/13630/revisions"},{"rel":"revision","href":"/dashboards/13630/revisions/1"},{"rel":"download","href":"/dashboards/13630/revisions/1/download"},{"rel":"org","href":"/orgs/nickliu"},{"rel":"images","href":"/dashboards/13630/images"},{"rel":"thumbnails","href":"/dashboards/13630/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":15442,"status":1,"statusCode":"active","orgId":575591,"orgSlug":"thyrocare","orgName":"thyrocare","slug":"azure-applictaion-gataway","downloads":311,"revisionId":23297,"revision":1,"name":"Azure Applictaion Gataway","description":"Azure Applictaion Gataway WAF v2","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2021-12-28T07:23:58.000Z","updatedAt":"2021-12-28T07:24:23.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15442"},{"rel":"revisions","href":"/dashboards/15442/revisions"},{"rel":"revision","href":"/dashboards/15442/revisions/1"},{"rel":"download","href":"/dashboards/15442/revisions/1/download"},{"rel":"org","href":"/orgs/thyrocare"},{"rel":"images","href":"/dashboards/15442/images"},{"rel":"thumbnails","href":"/dashboards/15442/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":16569,"status":1,"statusCode":"active","orgId":528806,"orgSlug":"cloudquery","orgName":"cloudquery","slug":"azure-asset-inventory","downloads":452,"revisionId":25312,"revision":1,"name":"Azure Asset Inventory","description":"A high level view of all your Azure resources across all accounts accounts and regions.","readme":"# Azure Cloud Asset Inventory\r\n\r\nThis  dashboard provides a high level view of all your resources across all accounts accounts and regions. This works with PostgreSQL as the storage layer and CloudQuery (https://github.com/cloudquery/cloudquery) as the ingestion layer.\r\n\r\n## How to Install\r\n\r\n 1. Install [CloudQuery](https://www.cloudquery.io/docs/quickstart/) and fetch your resources\r\n 2. [Follow the instructions for installing the view and dashboard here]https://www.cloudquery.io/blog/how-to-build-a-cloud-asset-inventory-for-azure) \r\n\r\n## GitHub\r\n\r\nFeel free to contribute or open an [issue](https://github.com/cloudquery/cloudquery)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2022-07-13T08:22:27.000Z","updatedAt":"2024-08-29T18:47:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16569"},{"rel":"revisions","href":"/dashboards/16569/revisions"},{"rel":"revision","href":"/dashboards/16569/revisions/1"},{"rel":"download","href":"/dashboards/16569/revisions/1/download"},{"rel":"org","href":"/orgs/cloudquery"},{"rel":"images","href":"/dashboards/16569/images"},{"rel":"thumbnails","href":"/dashboards/16569/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":10542,"status":1,"statusCode":"active","orgId":23483,"orgSlug":"yesoreyeram","orgName":"Sriramajeyam Sugumaran","slug":"azure-batch-accounts","downloads":494,"revisionId":14732,"revision":1,"name":"Azure Batch Accounts","description":"https://github.com/yesoreyeram/grafana-azure-dashboards","readme":"# Azure Batch Accounts\n\n![image](https://user-images.githubusercontent.com/153843/61211233-fd19c180-a6f6-11e9-93d0-267b683034cb.png)\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2019-07-15T11:06:50.000Z","updatedAt":"2019-07-15T11:08:33.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10542"},{"rel":"revisions","href":"/dashboards/10542/revisions"},{"rel":"revision","href":"/dashboards/10542/revisions/1"},{"rel":"download","href":"/dashboards/10542/revisions/1/download"},{"rel":"org","href":"/orgs/yesoreyeram"},{"rel":"images","href":"/dashboards/10542/images"},{"rel":"thumbnails","href":"/dashboards/10542/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":24862,"status":1,"statusCode":"active","orgId":311115,"orgSlug":"bhozar","orgName":"bhozar","slug":"azure-carbon-optimization-report","downloads":17,"revisionId":39897,"revision":1,"name":"Azure Carbon Optimization Report","description":"Azure Carbon Dashboard using Azure Carbon API","readme":"#Overview\r\nThis Grafana dashboard provides a comprehensive visualization of carbon emissions across your Microsoft Azure environment. It leverages the Azure Carbon Optimization API to track Scope 1, 2, and 3 emissions, helping organizations meet sustainability goals and monitor their environmental impact.\r\n\r\n# Bugs, suggestions and feedback\r\nBug reports, suggestions and feedback to [GitHub](https://github.com/bhozar/grafana-dashboards/) please!\r\n\r\n#Features\r\n\r\n- ***Global Emissions Summary:*** Total carbon footprint in kgCO2e.\r\n- ***Resource Breakdown:*** Visualize which services (Virtual Machines, SQL Databases, Storage, etc.) are the largest contributors.\r\n- ***Scope Tracking:*** Detailed panels for Scope 1 (Direct), Scope 2 (Indirect Energy), and Scope 3 (Value Chain) emissions.\r\n- ***Multi-Tenant/Subscription Support:*** Dynamically switch between data sources and subscriptions using top-level variables.\r\n- ***Time-Series Analysis:*** Track emissions trends month-over-month.\r\n\r\n#Prerequisites\r\n\r\n1. **Software  Requirements**\r\n- ***Grafana:*** Version 10.0 or higher.\r\n- ***Infinity Data Source Plugin:*** (Required) This dashboard uses the Infinity Plugin to query the Azure Management API.\r\n\r\n2. **Azure Configuration**\r\n- ***Permissions:*** The identity (Service Principal or Managed Identity) used by the Infinity data source must have at least Reader permissions on the Azure subscriptions.\r\n- ***Resource Provider:*** Ensure the carbon provider is registered in your Azure tenant:\r\n\r\nBash\r\n```\r\naz provider register --namespace Microsoft.Carbon\r\n```\r\n#Setup Instructions\r\n**Part 1: Azure Portal Setup (The Access)**\r\nYou need to create an \"identity\" for Grafana to use and give it permission to read the Carbon reports.\r\n\r\n**1. Create the App Registration**\r\n- Go to the Azure Portal and search for \"Microsoft Entra ID\" (formerly Azure Active Directory).\r\n- On the left menu, select App registrations > + New registration.\r\n- ***Name:*** Enter something recognizable (e.g., Grafana-Infinity-Carbon).\r\n- ***Supported account types:*** \"Accounts in this organizational directory only\".\r\n- Click Register.\r\n- Copy these values to a notepad (you will need them later):\r\n- - ***Application (client) ID***\r\n- - ***Directory (tenant) ID***\r\n\r\n**2. Create the Client Secret**\r\n- In your new App Registration, click Certificates & secrets (left menu).\r\n- Click + New client secret.\r\n- Description: ```GrafanaKey```.\r\n- ***Expires:*** Pick a duration (e.g., 12 months).\r\n- Click Add.\r\n- ***IMMEDIATELY*** Copy the \"Value\". (You cannot see this again after you leave the page).\r\n\r\n**3. Grant Permissions (The Role)**\r\n- Search for Subscriptions in the top search bar and click your subscription.\r\n- Select Access control (IAM) from the left menu.\r\n- Click + Add > Add role assignment.\r\n -***Role:*** Search for and select **\"Carbon Optimization Reader\"** (This is the specific least-privilege role for this API).\r\n - -*Note: If you can't find that exact role, \"Reader\" will also work but is broader.*\r\n- ***Members:*** Click + Select members and search for the name of the App Registration you created in Step 1 (Grafana-Infinity-Carbon).\r\n- Click Review + assign.\r\n\r\n**Part 2: Grafana Infinity Datasource Setup**\r\n- Open Grafana and go to Connections > Data Sources.\r\n- Click your Infinity data source (or add a new one).\r\n- ***Authentication:*** Select OAuth2.\r\n- ***OAuth2 Type:*** Select Client Credentials.\r\nFill in the details from Part 1:\r\n- ***Client ID:*** Paste the Application ID.\r\n- ***Client Secret:*** Paste the Secret Value.\r\n- ***Token URL:*** ```https://login.microsoftonline.com/{YOUR_TENANT_ID}/oauth2/v2.0/token``` (Replace ```{YOUR_TENANT_ID}``` with the Directory ID you copied).\r\n- ***Scopes:*** ```https://management.azure.com/.default``` *(This specifically authorizes the token for the Azure Management API)*.\r\n- ***Allowed Hosts:***\r\nAdd ```https://management.azure.com```\r\n- Click Save & Test.\r\n\r\n**Important Notes & Limitations**\r\n***Data Availability:*** Per Microsoft's API, carbon emissions data for the previous month is typically finalized and available by the 20th day of the current month.\r\n***Historical Limit:*** The API currently only supports a look-back of 13 months.\r\n***Broken Panels:*** Panels will appear empty or show an error until both the Start Date and End Date variables are selected, as the API requires specific date parameters to execute.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Infinity","privacy":"public","createdAt":"2026-02-12T13:28:43.000Z","updatedAt":"2026-02-16T17:52:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24862"},{"rel":"revisions","href":"/dashboards/24862/revisions"},{"rel":"revision","href":"/dashboards/24862/revisions/1"},{"rel":"download","href":"/dashboards/24862/revisions/1/download"},{"rel":"org","href":"/orgs/bhozar"},{"rel":"images","href":"/dashboards/24862/images"},{"rel":"thumbnails","href":"/dashboards/24862/thumbnails"}],"datasourceSlugs":["yesoreyeram-infinity-datasource"]},{"id":19589,"status":1,"statusCode":"active","orgId":739246,"orgSlug":"ozbillwang","orgName":"ozbillwang","slug":"azure-compliance-dashboard","downloads":380,"revisionId":30042,"revision":1,"name":"Azure Compliance Dashboard","description":"Azure Compliance Dashboard with CloudQuery","readme":"# Azure Dashboards\r\n\r\nThis directory contains pre-built dashboards. Currently those are available only for Grafana, but you can create them in any other BI platform:\r\n\r\nCheckout those tutorials:\r\n* [Building Open Source Cloud Asset Inventory with CloudQuery and Grafana](https://www.cloudquery.io/blog/open-source-cloud-asset-inventory-with-cloudquery-and-grafana)\r\n* [Building Open Source Cloud Asset Inventory with CloudQuery and Apache Superset](https://www.cloudquery.io/blog/cloud-asset-inventory-cloudquery-apache-superset)\r\n* [Building Open Source Cloud Asset Inventory with CloudQuery and AWS QuickSight](https://www.cloudquery.io/blog/cloud-asset-inventory-cloudquery-aws-quicksight)\r\n* [Building Open Source Cloud Asset Inventory with Metabase](https://www.cloudquery.io/blog/cloud-asset-inventory-cloudquery-metabase)\r\n\r\n## What's inside?\r\n\r\n### Azure Asset Inventory\r\n\r\n<img alt=\"Azure Asset Inventory\" src=\"../dashboards/grafana/asset_inventory.png\" width=50% height=50%>\r\n\r\n#### Installation\r\n\r\n1. Execute [this query](../views/resource.sql) to add the `azure_resources` view.\r\n2. Add the CloudQuery postgres database as a data source to Grafana (`Configuration -> Data Sources -> Add Data Source`)\r\n3. Import [../dashboards/grafana/asset_inventory.json](../dashboards/grafana/asset_inventory.json) into Grafana (`Import -> Upload JSON File`).\r\n\r\n### Azure Compliance and CSPM (Cloud Security Posture Management) Dashboard\r\n\r\n<img alt=\"Azure Compliance and CSPM Dashboard\" src=\"../dashboards/grafana/compliance.png\" width=50% height=50%>\r\n\r\n#### Installation\r\n\r\n1. Execute one more of the Azure [policies](../policies/).\r\n2. Add the CloudQuery postgres database as a data source to Grafana (`Configuration -> Data Sources -> Add Data Source`)\r\n3. Import [../dashboards/grafana/compliance.json](../dashboards/grafana/compliance.json) into Grafana (`Import -> Upload JSON File`).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2023-09-18T06:09:57.000Z","updatedAt":"2023-09-18T06:16:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19589"},{"rel":"revisions","href":"/dashboards/19589/revisions"},{"rel":"revision","href":"/dashboards/19589/revisions/1"},{"rel":"download","href":"/dashboards/19589/revisions/1/download"},{"rel":"org","href":"/orgs/ozbillwang"},{"rel":"images","href":"/dashboards/19589/images"},{"rel":"thumbnails","href":"/dashboards/19589/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":24208,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"azure-container-storage-v2","downloads":568,"revisionId":38627,"revision":2,"name":"Azure Container Storage v2","description":"The dashboard can be used to display the metrics for the local CSI driver and ESAN CSI driver (Will be added soon).  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Many more metrics that are queriable from the log analytics workspace used by Azure monitor for containers!","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2019-11-18T14:28:08.000Z","updatedAt":"2019-11-18T14:29:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11220"},{"rel":"revisions","href":"/dashboards/11220/revisions"},{"rel":"revision","href":"/dashboards/11220/revisions/1"},{"rel":"download","href":"/dashboards/11220/revisions/1/download"},{"rel":"org","href":"/orgs/c3r3sa"},{"rel":"images","href":"/dashboards/11220/images"},{"rel":"thumbnails","href":"/dashboards/11220/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":12936,"status":1,"statusCode":"active","orgId":413980,"orgSlug":"hacker1kfy","orgName":"hacker1kfy","slug":"azure-monitor-for-containers-metrics","downloads":1492,"revisionId":18720,"revision":1,"name":"Azure Monitor for Containers - Metrics","description":"Azure Monitor - Container Insights metrics for Kubernetes clusters. Cluster utilization, namespace utilization, Node cpu & memory, Node disk usage & disk io, node network & kubelet docker operation metrics. Many more metrics that are queriable from the log analytics workspace used by Azure monitor for containers!","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2020-09-02T20:30:23.000Z","updatedAt":"2020-09-02T20:30:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12936"},{"rel":"revisions","href":"/dashboards/12936/revisions"},{"rel":"revision","href":"/dashboards/12936/revisions/1"},{"rel":"download","href":"/dashboards/12936/revisions/1/download"},{"rel":"org","href":"/orgs/hacker1kfy"},{"rel":"images","href":"/dashboards/12936/images"},{"rel":"thumbnails","href":"/dashboards/12936/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":10536,"status":1,"statusCode":"active","orgId":23483,"orgSlug":"yesoreyeram","orgName":"Sriramajeyam Sugumaran","slug":"azure-mysql","downloads":1054,"revisionId":14726,"revision":1,"name":"Azure MySQL","description":"https://github.com/yesoreyeram/grafana-azure-dashboards","readme":"# MySQL\n\n![image](https://user-images.githubusercontent.com/153843/61210295-f89fd980-a6f3-11e9-9f7f-53d36d63d49e.png)\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2019-07-15T11:04:25.000Z","updatedAt":"2019-07-15T11:10:21.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10536"},{"rel":"revisions","href":"/dashboards/10536/revisions"},{"rel":"revision","href":"/dashboards/10536/revisions/1"},{"rel":"download","href":"/dashboards/10536/revisions/1/download"},{"rel":"org","href":"/orgs/yesoreyeram"},{"rel":"images","href":"/dashboards/10536/images"},{"rel":"thumbnails","href":"/dashboards/10536/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":15844,"status":1,"statusCode":"active","orgId":231761,"orgSlug":"nomaster","orgName":"Mik Szillat","slug":"azure-mysql","downloads":487,"revisionId":23996,"revision":1,"name":"Azure MySQL","description":"Azure Database Server for MySQL, metrics via Azure Monitor","readme":"This dashboard is usable immediately after adding the Azure Monitor datasource to Grafana. Refer to the [Grafana documentation about Azure Monitor](https://grafana.com/docs/grafana/latest/datasources/azuremonitor/) for instructions.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2022-03-03T17:01:19.000Z","updatedAt":"2022-03-03T17:07:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15844"},{"rel":"revisions","href":"/dashboards/15844/revisions"},{"rel":"revision","href":"/dashboards/15844/revisions/1"},{"rel":"download","href":"/dashboards/15844/revisions/1/download"},{"rel":"org","href":"/orgs/nomaster"},{"rel":"images","href":"/dashboards/15844/images"},{"rel":"thumbnails","href":"/dashboards/15844/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":16311,"status":1,"statusCode":"active","orgId":318766,"orgSlug":"richardeee","orgName":"alfredzouang","slug":"azure-mysql-new","downloads":2929,"revisionId":24830,"revision":1,"name":"Azure MySQL Flexible Server Monitor","description":"Azure Database Server for MySQL Flexible Server, metrics via Azure Monitor and MySQL Performance Schema","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor, MySQL","privacy":"public","createdAt":"2022-05-21T04:10:25.000Z","updatedAt":"2022-05-21T04:21:01.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16311"},{"rel":"revisions","href":"/dashboards/16311/revisions"},{"rel":"revision","href":"/dashboards/16311/revisions/1"},{"rel":"download","href":"/dashboards/16311/revisions/1/download"},{"rel":"org","href":"/orgs/richardeee"},{"rel":"images","href":"/dashboards/16311/images"},{"rel":"thumbnails","href":"/dashboards/16311/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource","mysql"]},{"id":13102,"status":1,"statusCode":"active","orgId":405198,"orgSlug":"csfmomo","orgName":"csfmomo","slug":"azure-network-policy-dashboard-based-on-azure-monitor","downloads":360,"revisionId":19015,"revision":1,"name":"Azure Network Policy Dashboard based on Azure Monitor","description":"Monitor and understand your Network Configuration. Uses a Prometheus Server data source.","readme":"# Azure Network Policy Metrics based on Azure Monitor\nAzure Network Policy Manager (NPM) includes informative Prometheus metrics that allow you to monitor and better understand your configurations. We can view these metrics through Grafana dashboard.\n\n## Current Metrics\n| Metric Name                       | Description                                    | Prometheus Metric Type | Labels         |\n| --                                | --                                             | --       |  -                           |\n| `npm_num_policies`                | number of network policies                     | Gauge    |  -                           |\n| `npm_num_iptables_rules`          | number of IPTables rules                       | Gauge    |  -                           |\n| `npm_num_ipsets`                  | number of IPSets                               | Gauge    |  -                           |\n| `npm_num_ipset_entries`           | number of IP address entries in all IPSets     | Gauge    |  -                           |\n| `npm_add_policy_exec_time`        | runtime for adding a network policy            | Summary  | quantile (0.5, 0.9, or 0.99) |\n| `npm_add_iptables_rule_exec_time` | runtime for adding an IPTables rule            | Summary  | quantile (0.5, 0.9, or 0.99) |\n| `npm_add_ipset_exec_time`         | runtime for adding an IPSet                    | Summary  | quantile (0.5, 0.9, or 0.99) |\n| `npm_ipset_counts` (advanced)     | number of entries within each individual IPSet | GaugeVec | set name & hash              |\n\n\n## How it works?\n* An AKS or AKS engine cluster with Azure Network Policy plugin.\n* Container Insights enabled for cluster.\n* Please refer this [doc](https://grafana.com/docs/grafana/latest/features/datasources/azuremonitor/) to enable Grafana dashboard from Azure Monitor log analytics data source\n\n## Contact\nacn@microsoft.com\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2020-10-03T02:05:23.000Z","updatedAt":"2020-10-03T02:09:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13102"},{"rel":"revisions","href":"/dashboards/13102/revisions"},{"rel":"revision","href":"/dashboards/13102/revisions/1"},{"rel":"download","href":"/dashboards/13102/revisions/1/download"},{"rel":"org","href":"/orgs/csfmomo"},{"rel":"images","href":"/dashboards/13102/images"},{"rel":"thumbnails","href":"/dashboards/13102/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":13000,"status":1,"statusCode":"active","orgId":405198,"orgSlug":"csfmomo","orgName":"csfmomo","slug":"azure-network-policy-manager-configuration-prometheus-server","downloads":1543,"revisionId":18814,"revision":1,"name":"Azure Network Policy Manager Configuration (Prometheus Server)","description":"Monitor and understand your Network Configuration. Uses a Prometheus Server data source.","readme":"# Azure Network Policy Metrics\nAzure Network Policy Manager (NPM) includes informative Prometheus metrics that allow you to monitor and better understand your configurations. We can view these metrics through Grafana dashboard.\n\n## Current Metrics\n| Metric Name                       | Description                                    | Prometheus Metric Type | Labels         |\n| --                                | --                                             | --       |  -                           |\n| `npm_num_policies`                | number of network policies                     | Gauge    |  -                           |\n| `npm_num_iptables_rules`          | number of IPTables rules                       | Gauge    |  -                           |\n| `npm_num_ipsets`                  | number of IPSets                               | Gauge    |  -                           |\n| `npm_num_ipset_entries`           | number of IP address entries in all IPSets     | Gauge    |  -                           |\n| `npm_add_policy_exec_time`        | runtime for adding a network policy            | Summary  | quantile (0.5, 0.9, or 0.99) |\n| `npm_add_iptables_rule_exec_time` | runtime for adding an IPTables rule            | Summary  | quantile (0.5, 0.9, or 0.99) |\n| `npm_add_ipset_exec_time`         | runtime for adding an IPSet                    | Summary  | quantile (0.5, 0.9, or 0.99) |\n| `npm_ipset_counts` (advanced)     | number of entries within each individual IPSet | GaugeVec | set name & hash              |\n\n\n## How it works?\n* An AKS or AKS engine cluster with Azure Network Policy plugin.\n* An Prometheus server installed in cluster. tutorial is in this [doc](https://github.com/huntergregory/azure-docs/blob/npm-prometheus-integration/articles/aks/monitor-and-visualize-with-NPM.md#quick-setup-for-prometheus-server).\n* Please refer this [doc](https://prometheus.io/docs/visualization/grafana/) to enable Grafana dashboard from Prometheus data source\n\n## Contact\nacn@microsoft.com\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-09-15T00:46:28.000Z","updatedAt":"2020-09-22T06:35:47.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13000"},{"rel":"revisions","href":"/dashboards/13000/revisions"},{"rel":"revision","href":"/dashboards/13000/revisions/1"},{"rel":"download","href":"/dashboards/13000/revisions/1/download"},{"rel":"org","href":"/orgs/csfmomo"},{"rel":"images","href":"/dashboards/13000/images"},{"rel":"thumbnails","href":"/dashboards/13000/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11369,"status":1,"statusCode":"active","orgId":311115,"orgSlug":"bhozar","orgName":"bhozar","slug":"azure-network-security-group-nsg-flows","downloads":1160,"revisionId":15962,"revision":1,"name":"Azure Network Security Group (NSG) Flows","description":"https://github.com/bhozar/grafana-dashboards\nAzure NSG flow log visualization dashboard.","readme":"# Azure NSG Flow Log Dashboard\nDashboard to visualize Azure NSG Flow Logs data from [Logstash Event Hubs plugin](https://www.elastic.co/guide/en/logstash/current/plugins-inputs-azure_event_hubs.html)\n\nDeploy Microsofts [Azure Network Watcher NSG Flow Logs Connector](https://github.com/microsoft/AzureNetworkWatcherNSGFlowLogsConnector) Function App to gather the data. Enabling Application Insights to troubleshoot the Function app is helpful at the start but the cost can quickly add up.\n\nSetup Azure NSG FLow Logs to stream data in an Azure EventHub so the ES plugin can pickup the data.\n\nTo control the costs and increase throughput you will want to increase the batch sizes of how often the Logstash Event Hub data source saves the checkpoints to storage, and increase the number of `pipeline.workers` and `pipeline.batch.size` options.\n\n# Bugs, suggestions and feedback\nBug reports, suggestions and feedback to [GitHub](https://github.com/bhozar/grafana-dashboards/tree/master/azurensgflowlog) please!\n\n# Logstash Filters\n## 00-input-azureeventhubs.conf\n```\ninput {\n   azure_event_hubs {\n   event_hub_connections => [\"Endpoint=sb://xxxxxxx.servicebus.windows.net/;SharedAccessKeyName=logstash-ro;SharedAccessKey=...\"]\n   threads => 32\n   max_batch_size => 1000\n#   checkpoint_interval => 30\n   initial_position => \"end\"\n   decorate_events => true\n   consumer_group => \"logstash-nsglogs\"\n## Storage account required to store starting point between restarts\n   storage_connection => \"DefaultEndpointsProtocol=https;AccountName=...EndpointSuffix=core.windows.net\"\n   tags => [\"azurensglogs\"]\n   }\n}\n```\n\n## 01-filter-azure-nsg-logs.conf\n```\nfilter {\nif [@metadata][azure_event_hubs][consumer_group] == \"logstash-nsglogs\" {\n# if \"azurensglogs\" in [tags] {\n mutate {\n   gsub => [ \"message\", \"^{\\\"records\\\":\\[{\", \"\" ]\n   gsub => [ \"message\", \"},{.*}]}$\", \"\" ]\n   gsub => [ \"message\", \"[\\\"]\", \"\" ]\n}\n kv {\n   field_split_pattern => \",\"\n   value_split => \":\"\n}\n  mutate {\n   convert => {\"startTime\" => \"integer\"}\n   convert => {\"sourcePort\" => \"integer\"}\n   convert => {\"destinationPort\" => \"integer\"}\n   convert => {\"packetsStoD\" => \"integer\"}\n   convert => {\"bytesStoD\" => \"integer\"}\n   convert => {\"packetsDtoS\" => \"integer\"}\n   convert => {\"bytesDtoS\" => \"integer\"}\n   split => { \"[resourceId]\" => \"/\"}\n     add_field => { \"Subscription\" => \"%{[resourceId][2]}\"\n       \"ResourceGroup\" => \"%{[resourceId][4]}\"\n       \"NetworkSecurityGroup\" => \"%{[resourceId][8]}\"\n       }\n   convert => {\"Subscription\" => \"string\"}\n   convert => {\"ResourceGroup\" => \"string\"}\n   convert => {\"NetworkSecurityGroup\" => \"string\"}\n   remove_field => [ \"[resourceId]\" ]\n   remove_field => [ \"message\" ]\n   copy => { \"sourceAddress\" => \"sourceHost\" }\n   copy => { \"destinationAddress\" => \"destinationHost\" }\n }\n  date{\n    match => [\"startTime\" , \"UNIX\"]\n  }\n translate {\n      field => \"destinationPort\"\n      destination => \"destinationServiceName\"\n      dictionary_path => '/etc/logstash/dictionary.d/iana_service_names_tcp.yml'\n    }\n translate {\n      field => \"destinationPort\"\n      destination => \"destinationServiceName\"\n      dictionary_path => '/etc/logstash/dictionary.d/custom_service_names_tcp.yml'\n    }\n  cidr {\n    address => [ \"%{[sourceAddress]}\" ]\n    network => [ \"0.0.0.0/32\", \"10.0.0.0/8\", \"172.16.0.0/12\", \"192.168.0.0/16\", \"fc00::/7\", \"127.0.0.0/8\", \"::1/128\",\"169.254.0.0/16\", \"fe80::/10\",\"224.0.0.0/4\", \"ff00::/8\",\"255.255.255.255/32\" ]\n    add_field => { \"[sourceLocality]\" => \"private\" }\n  }\n  if [sourceLocality] != \"private\" {\n    geoip {\n      source => \"[sourceAddress]\"\n          }\n  }\n#  if [sourceLocality] == \"private\" {\n   dns {\n     reverse => [ \"sourceHost\" ]\n     action => \"replace\"\n     hit_cache_size => 10000\n     hit_cache_ttl => 3000\n     failed_cache_size => 2000\n     failed_cache_ttl => 600\n   }\n#   }\n  dns {\n    reverse => [ \"destinationHost\" ]\n    action => \"replace\"\n    hit_cache_size => 10000\n    hit_cache_ttl => 3000\n    failed_cache_size => 2000\n    failed_cache_ttl => 600\n  }\n  translate {\n    field => \"sourceAddress\"\n    destination => \"sourceAddressMaliciousIP\"\n    dictionary_path => '/etc/logstash/dictionary.d/maliciousIP.yaml'\n  }\n  translate {\n    field => \"destinationAddress\"\n    destination => \"destinationsAddressMaliciousIP\"\n    dictionary_path => '/etc/logstash/dictionary.d/maliciousIP.yaml'\n  }\n  translate {\n    field => \"sourceAddress\"\n    destination => \"sourceAddressTorExit\"\n    dictionary_path => '/etc/logstash/dictionary.d/torexit.yaml'\n  }\n  translate {\n    field => \"destinationAddress\"\n    destination => \"destinationAddressTorExit\"\n    dictionary_path => '/etc/logstash/dictionary.d/torexit.yaml'\n  }\n# Monitoring system IP addresses\n  translate {\n    field => \"sourceAddress\"\n    destination => \"sourceAddressStatusCake\"\n    dictionary_path => '/etc/logstash/dictionary.d/statuscakeIP.yaml'\n  }\n  translate {\n    field => \"destinationAddress\"\n    destination => \"destinationAddressStatusCake\"\n    dictionary_path => '/etc/logstash/dictionary.d/statuscakeIP.yaml'\n  }\n }\n}\n```\n## Logstash pipelines.yml\n```\n- pipeline.id: main\n  path.config: \"/etc/logstash/conf.d/*.conf\"\n  pipeline.workers: 16\n  pipeline.batch.size: 500\n```\n\n## Dictionary Files\nExample files an scripts to allow download/updating of files are available on [GitHub](https://github.com/bhozar/grafana-dashboards/tree/master/azurensgflowlog/logstash/dictionary.d)\n\n# Screenshots\n![Azure NSG Flow Log Dashboard](https://grafana.com/api/dashboards/11369/images/7280/image)\n\n![Azure NSG Flow Log Dashboard](https://grafana.com/api/dashboards/11369/images/7281/image)\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2019-12-08T21:31:37.000Z","updatedAt":"2019-12-08T22:57:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11369"},{"rel":"revisions","href":"/dashboards/11369/revisions"},{"rel":"revision","href":"/dashboards/11369/revisions/1"},{"rel":"download","href":"/dashboards/11369/revisions/1/download"},{"rel":"org","href":"/orgs/bhozar"},{"rel":"images","href":"/dashboards/11369/images"},{"rel":"thumbnails","href":"/dashboards/11369/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":22552,"status":1,"statusCode":"active","orgId":1088515,"orgSlug":"houssemdellai","orgName":"houssemdellai","slug":"azure-openai","downloads":481,"revisionId":35490,"revision":1,"name":"Azure OpenAI","description":"Shows logs for requests and metrics from customMetrics collected from Azure API Management, Application Insights and Azure OpenAI.","readme":"Shows logs for requests and metrics from customMetrics collected from Azure API Management, Application Insights and Azure OpenAI.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2024-12-20T09:16:17.000Z","updatedAt":"2024-12-20T09:19:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22552"},{"rel":"revisions","href":"/dashboards/22552/revisions"},{"rel":"revision","href":"/dashboards/22552/revisions/1"},{"rel":"download","href":"/dashboards/22552/revisions/1/download"},{"rel":"org","href":"/orgs/houssemdellai"},{"rel":"images","href":"/dashboards/22552/images"},{"rel":"thumbnails","href":"/dashboards/22552/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":10535,"status":1,"statusCode":"active","orgId":23483,"orgSlug":"yesoreyeram","orgName":"Sriramajeyam Sugumaran","slug":"azure-postgresql","downloads":993928,"revisionId":14725,"revision":1,"name":"Azure PostgreSQL","description":"https://github.com/yesoreyeram/grafana-azure-dashboards","readme":"# PostgreSQL\n\n![image](https://user-images.githubusercontent.com/153843/61209886-d8bbe600-a6f2-11e9-99e4-6f3aa8c837e6.png)\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2019-07-15T11:04:03.000Z","updatedAt":"2019-07-15T11:10:34.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10535"},{"rel":"revisions","href":"/dashboards/10535/revisions"},{"rel":"revision","href":"/dashboards/10535/revisions/1"},{"rel":"download","href":"/dashboards/10535/revisions/1/download"},{"rel":"org","href":"/orgs/yesoreyeram"},{"rel":"images","href":"/dashboards/10535/images"},{"rel":"thumbnails","href":"/dashboards/10535/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":10534,"status":1,"statusCode":"active","orgId":23483,"orgSlug":"yesoreyeram","orgName":"Sriramajeyam 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Bus\n\n![image](https://user-images.githubusercontent.com/153843/61209403-90e88f00-a6f1-11e9-8889-48f1bce06b24.png)\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure 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default Bacula.\r\nIf you have a question write me - sord23@gmail.com","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2018-01-21T18:39:54.000Z","updatedAt":"2018-01-22T13:08:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/4427"},{"rel":"revisions","href":"/dashboards/4427/revisions"},{"rel":"revision","href":"/dashboards/4427/revisions/1"},{"rel":"download","href":"/dashboards/4427/revisions/1/download"},{"rel":"org","href":"/orgs/hapito"},{"rel":"images","href":"/dashboards/4427/images"},{"rel":"thumbnails","href":"/dashboards/4427/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":12772,"status":1,"statusCode":"active","orgId":405819,"orgSlug":"cpuga","orgName":"cpuga","slug":"bacula","downloads":489,"revisionId":18378,"revision":1,"name":"Bacula","description":"Template dashboard for Bacula Backup System with mysql as backend","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2020-08-04T10:04:49.000Z","updatedAt":"2020-08-04T10:09:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12772"},{"rel":"revisions","href":"/dashboards/12772/revisions"},{"rel":"revision","href":"/dashboards/12772/revisions/1"},{"rel":"download","href":"/dashboards/12772/revisions/1/download"},{"rel":"org","href":"/orgs/cpuga"},{"rel":"images","href":"/dashboards/12772/images"},{"rel":"thumbnails","href":"/dashboards/12772/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":12935,"status":1,"statusCode":"active","orgId":413933,"orgSlug":"arbenatti","orgName":"arbenatti","slug":"bacula","downloads":552,"revisionId":18714,"revision":2,"name":"Bacula","description":"This is a Bacula Dashboard.","readme":"This is a simple Bacula Dashboard with:\n- Job Size\n- Job Status\n- Pool Count\n- Fileset Count\n- Last Job Run\n- Job Reports","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2020-09-02T18:22:28.000Z","updatedAt":"2020-09-02T18:40:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12935"},{"rel":"revisions","href":"/dashboards/12935/revisions"},{"rel":"revision","href":"/dashboards/12935/revisions/2"},{"rel":"download","href":"/dashboards/12935/revisions/2/download"},{"rel":"org","href":"/orgs/arbenatti"},{"rel":"images","href":"/dashboards/12935/images"},{"rel":"thumbnails","href":"/dashboards/12935/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":13969,"status":1,"statusCode":"active","orgId":467932,"orgSlug":"badboyiii89iii","orgName":" BADBOYIII89III","slug":"thegeekfreaks-unraid-dashboard-1-1","downloads":308,"revisionId":20464,"revision":1,"name":"BADBOYIII89III","description":"Developed byTheGeekFreaks","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch, Prometheus, Loki, InfluxDB, Graphite","privacy":"public","createdAt":"2021-02-25T18:15:06.000Z","updatedAt":"2021-02-25T18:17:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13969"},{"rel":"revisions","href":"/dashboards/13969/revisions"},{"rel":"revision","href":"/dashboards/13969/revisions/1"},{"rel":"download","href":"/dashboards/13969/revisions/1/download"},{"rel":"org","href":"/orgs/badboyiii89iii"},{"rel":"images","href":"/dashboards/13969/images"},{"rel":"thumbnails","href":"/dashboards/13969/thumbnails"}],"datasourceSlugs":["elasticsearch","graphite","influxdb","loki","prometheus"]},{"id":12232,"status":1,"statusCode":"active","orgId":358627,"orgSlug":"badbread","orgName":"badbread","slug":"home-dash","downloads":2749,"revisionId":17436,"revision":1,"name":"badbread Vital Dash","description":"A copy of my \"Vital Dashboard\" aka \"Home dash\".\nPFblocker, worldping, minecraft, vsphere, Smart things (temperature sensors), apcupsd, speedtest, nas growth over time, bandwidth use over time (great for quota's), uptime monitor, unifi wifi score and users, more\n\nI'm sure it could use some polishing up, very sure of that, but enjoy none the less.","readme":"This panel is a hodge-podge of different things. \n\nA few general notes... I tried to avoid having any yellow or \"deep red\" anywhere on the dash so that it's very obvious when something isn't right. All of the singlestat/bar gauges/up time/temperatures will turn yellow when something is not right, and red when it's really bad (as seen in the uptime screenshot)\n\nThe d/load & upload meters are each companies logo color for that added touch. Lookup \"YOUR ISP logo colors\" to get the color code and match your ISP.\n\nStarting up top it has pfBlocker stats from PFsense, pings various targets I defined in the world, a day by day bandwidth monitor for my 2 WAN's, and Unifi's Wifi score and number of connected clients and guests.\nBelow that is an uptime monitor.\n\n• In the NAS section it calculates how much the device has increased or decreased in size for the day/week/month/year.\nIn the Minecraft section, it looks at TPS, users online, demand, and JVM memory.\n• In the docker section it shows running vs total machines. In my environment if they are all running that's good, so that's how I set the alert on a separate dash for this.\n• In the vSphere section it shows the Cluster DRS score, and any automated vMotions done that day by DRS. I also monitor VM disk performance as that is really the only bottleneck in my environment. \n• In the UPS section I monitor UPS load average. Below that are all the Smart Things sensor battery levels.\n• Temperatures shows all the Smart Things sensor temperatures and NAS device temperatures (another battle since my rack is in the garage.) The alerts for these are all on another panel as well.\n• USA ping times using telegraf's ping function\n\nNote on the dual WAN thing using the docker speedtest container.\nI had to create a seperate docker network in order to get the traffic to route correctly to the 2nd WAN connection. In vSphere add another NIC card to your docker VM, assign that NIC to a MACVLAN in docker, then route the IP the 2nd speedtest gets via PFSense firewall rules to your other WAN connection","collectorType":"Telegraf","collectorConfig":"Mostly done with telegraf data with a few exceptions and/or notes.\n\n• LibreNMS: This is SNMP data from LibreNMS ( https://www.librenms.org/ ). There are a few lines you add to LibreNMS' config to get it to export to influxdb.\n\n• Traffic Graphs: If you can get octets/bytes into telegraf this should work. I use the data from LibreNMS to calculate mine and it's spot on. LibreNMS is configured to collect SNMP data every 1 minute\n\n• PFsense: This data comes direct from PFSense, there is a package in the \"store\" that exports to Influxdb\n\n• vSphere: Follow the directions here to start pulling vSphere data: https://grafana.com/grafana/dashboards/8159\n\n• Alerts: They are all done on another dashboard I just called \"Alert Dashboard\" Singlestat/bar guages do not seem to support alarms, so I just use the Graph Visualization to make alerts\n\n• Worldping: Install this plugin in grafana: https://grafana.com/grafana/plugins/grafana-worldmap-panel\nAll of the ping targets are defined in the telegraf ping section. It's important you use the correct 2 letter country code in this as well\n\n• Unifi needs this setup: https://github.com/unifi-poller/unifi-poller\n\n\n\n\n","collectorPluginList":"docker, ping, influxdb","datasource":"Prometheus, InfluxDB","privacy":"public","createdAt":"2020-05-05T05:53:46.000Z","updatedAt":"2020-05-05T17:59:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12232"},{"rel":"revisions","href":"/dashboards/12232/revisions"},{"rel":"revision","href":"/dashboards/12232/revisions/1"},{"rel":"download","href":"/dashboards/12232/revisions/1/download"},{"rel":"org","href":"/orgs/badbread"},{"rel":"images","href":"/dashboards/12232/images"},{"rel":"thumbnails","href":"/dashboards/12232/thumbnails"}],"datasourceSlugs":["influxdb","prometheus"]},{"id":21399,"status":1,"statusCode":"active","orgId":1149832,"orgSlug":"paolachocron","orgName":"paolachocron","slug":"badbread-vital-dash","downloads":259,"revisionId":33314,"revision":1,"name":"badbread Vital Dash","description":"A copy of my \"Vital Dashboard\" aka \"Home dash\".\r\nPFblocker, worldping, minecraft, vsphere, Smart things (temperature sensors), apcupsd, speedtest, nas growth over time, bandwidth use over time (great for quota's), uptime monitor, unifi wifi score and users, more\r\n\r\nI'm sure it could use some polishing up, very sure of that, but enjoy none the less.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus, InfluxDB","privacy":"public","createdAt":"2024-06-26T07:25:09.000Z","updatedAt":"2024-06-26T07:28:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21399"},{"rel":"revisions","href":"/dashboards/21399/revisions"},{"rel":"revision","href":"/dashboards/21399/revisions/1"},{"rel":"download","href":"/dashboards/21399/revisions/1/download"},{"rel":"org","href":"/orgs/paolachocron"},{"rel":"images","href":"/dashboards/21399/images"},{"rel":"thumbnails","href":"/dashboards/21399/thumbnails"}],"datasourceSlugs":["influxdb","prometheus"]},{"id":17657,"status":1,"statusCode":"active","orgId":763862,"orgSlug":"simplykumo","orgName":"simplykumo","slug":"badbread-vital-dash","downloads":272,"revisionId":27118,"revision":1,"name":"badbread Vital Dash","description":"A copy of my \"Vital Dashboard\" aka \"Home dash\".\r\nPFblocker, worldping, minecraft, vsphere, Smart things (temperature sensors), apcupsd, speedtest, nas growth over time, bandwidth use over time (great for quota's), uptime monitor, unifi wifi score and users, more\r\n\r\nI'm sure it could use some polishing up, very sure of that, but enjoy none the less.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus, InfluxDB","privacy":"public","createdAt":"2022-12-19T22:01:32.000Z","updatedAt":"2022-12-19T22:01:47.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17657"},{"rel":"revisions","href":"/dashboards/17657/revisions"},{"rel":"revision","href":"/dashboards/17657/revisions/1"},{"rel":"download","href":"/dashboards/17657/revisions/1/download"},{"rel":"org","href":"/orgs/simplykumo"},{"rel":"images","href":"/dashboards/17657/images"},{"rel":"thumbnails","href":"/dashboards/17657/thumbnails"}],"datasourceSlugs":["influxdb","prometheus"]},{"id":13078,"status":1,"statusCode":"active","orgId":420737,"orgSlug":"prodaz2","orgName":"prodaz2","slug":"balenasense","downloads":320,"revisionId":18956,"revision":1,"name":"balenaSense","description":"Temp sensor","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-09-27T15:06:37.000Z","updatedAt":"2020-09-27T15:11:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13078"},{"rel":"revisions","href":"/dashboards/13078/revisions"},{"rel":"revision","href":"/dashboards/13078/revisions/1"},{"rel":"download","href":"/dashboards/13078/revisions/1/download"},{"rel":"org","href":"/orgs/prodaz2"},{"rel":"images","href":"/dashboards/13078/images"},{"rel":"thumbnails","href":"/dashboards/13078/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":5841,"status":1,"statusCode":"active","orgId":141552,"orgSlug":"ballerina","orgName":"Ballerina, WSO2 Inc","slug":"ballerina-metrics","downloads":1226,"revisionId":31889,"revision":8,"name":"Ballerina Metrics","description":"Monitor Ballerina HTTP/HTTPs Services, HTTP Clients and SQL Clients","readme":"# Ballerina Metrics Dashboard  \r\n \r\n[Ballerina](https://ballerina.io/) services are by default observable. Ballerina supports collecting metrics such as request count and response time statistics.\r\n\r\nThis dashboard shows metrics for HTTP/HTTPs services, HTTP clients and SQL clients.\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-04-27T07:37:33.000Z","updatedAt":"2024-03-06T10:06:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/5841"},{"rel":"revisions","href":"/dashboards/5841/revisions"},{"rel":"revision","href":"/dashboards/5841/revisions/8"},{"rel":"download","href":"/dashboards/5841/revisions/8/download"},{"rel":"org","href":"/orgs/ballerina"},{"rel":"images","href":"/dashboards/5841/images"},{"rel":"thumbnails","href":"/dashboards/5841/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11027,"status":1,"statusCode":"active","orgId":297233,"orgSlug":"iroman","orgName":"Ivan Roman Muerte","slug":"bamboo","downloads":3006,"revisionId":15416,"revision":1,"name":"Bamboo","description":"Dashboard for Atlassian Bamboo  by Tecnofor","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2019-10-23T13:29:23.000Z","updatedAt":"2019-10-23T13:42:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11027"},{"rel":"revisions","href":"/dashboards/11027/revisions"},{"rel":"revision","href":"/dashboards/11027/revisions/1"},{"rel":"download","href":"/dashboards/11027/revisions/1/download"},{"rel":"org","href":"/orgs/iroman"},{"rel":"images","href":"/dashboards/11027/images"},{"rel":"thumbnails","href":"/dashboards/11027/thumbnails"}]},{"id":25033,"status":1,"statusCode":"active","orgId":1705572,"orgSlug":"idanbush","orgName":"blackbush","slug":"bambulab-metrics","downloads":72,"revisionId":40263,"revision":2,"name":"Bambulab Metrics","description":"Real-time monitoring dashboard for BambuLab 3D printers.\r\nTracks printer health, print progress, temperatures, fan speeds,\r\nAMS filament inventory, and queue status via Prometheus metrics.\r\nSupports multiple printers and AMS units automatically.","readme":"# BambuLab 3D Printer — Grafana Dashboard\r\n\r\nReal-time monitoring dashboard for BambuLab 3D printers. Tracks printer health, live print progress, temperatures, fan speeds, AMS filament inventory, and job queue status. Supports multiple printers and multiple AMS units automatically via Prometheus label-based discovery.\r\n\r\n---\r\n\r\n## Requirements\r\n\r\n| Component | Version |\r\n|---|---|\r\n| Grafana | 10.0+ |\r\n| Prometheus | 2.40+ |\r\n| [bambulab_metrics_exporter](https://github.com/TheBlackBush/bambulab_metrics_exporter) | Latest |\r\n| Grafana Business Text plugin | 5.0+ |\r\n\r\n### Grafana plugins required\r\n\r\nThis dashboard uses the **Business Text** panel (formerly Dynamic Text) by Volkov Labs for the AMS filament inventory visualization. The AMS panel renders filament spool cards with real colors, type labels, remaining % progress bars, and active slot indicators using a Handlebars HTML template. It cannot be replicated with native Grafana panel types because Canvas does not support dynamic color binding from label values, and Stat/Table panels cannot loop over rows to render per-slot cards.\r\n\r\n#### 1. Install the Business Text plugin\r\n\r\nVia Grafana CLI:\r\n\r\n```bash\r\ngrafana-cli plugins install marcusolsson-dynamictext-panel\r\n```\r\n\r\nVia Docker — add to your `docker-compose.yml`:\r\n\r\n```yaml\r\nenvironment:\r\n  - GF_INSTALL_PLUGINS=marcusolsson-dynamictext-panel\r\n```\r\n\r\nVia Grafana UI: **Administration → Plugins → Search \"Business Text\" → Install**.\r\n\r\nRestart Grafana after installing.\r\n\r\n#### 2. Enable HTML rendering\r\n\r\nThe Business Text panel renders HTML templates. By default Grafana sanitizes HTML for security, which strips all styling and layout. You must disable sanitization for the AMS panel to render correctly.\r\n\r\n**Option A — grafana.ini:**\r\n\r\n```ini\r\n[panels]\r\ndisable_sanitize_html = true\r\n```\r\n\r\n**Option B — environment variable** (recommended for Docker):\r\n\r\n```bash\r\nGF_PANELS_DISABLE_SANITIZE_HTML=true\r\n```\r\n\r\nDocker Compose example:\r\n\r\n```yaml\r\nservices:\r\n  grafana:\r\n    image: grafana/grafana:latest\r\n    environment:\r\n      - GF_PANELS_DISABLE_SANITIZE_HTML=true\r\n      - GF_INSTALL_PLUGINS=marcusolsson-dynamictext-panel\r\n```\r\n\r\nRestart Grafana after making this change. Without it the AMS panel will display plain unstyled text instead of the visual spool cards.\r\n\r\n#### 3. Set Content mode to HTML\r\n\r\nAfter creating the Business Text panel, in the panel editor make sure to set **Content mode → HTML** in the panel options on the right side. The default mode is Markdown which will not render the template correctly.\r\n\r\n---\r\n\r\n## Data collection\r\n\r\nMetrics are collected from BambuLab printers via **MQTT** using the [bambulab_metrics_exporter](https://github.com/TheBlackBush/bambulab_metrics_exporter) Prometheus exporter. The exporter connects to the printer's local MQTT broker and exposes all telemetry as Prometheus gauges on a `/metrics` endpoint.\r\n\r\n### How it works\r\n\r\n```\r\nBambuLab Printer (MQTT)\r\n        │\r\n        ▼\r\nbambulab_metrics_exporter (Prometheus exporter)\r\n        │\r\n        ▼\r\nPrometheus (scrapes /metrics every 15s)\r\n        │\r\n        ▼\r\nGrafana (queries Prometheus)\r\n```\r\n\r\nFor exporter installation and configuration see the **[bambulab_metrics_exporter README](https://github.com/TheBlackBush/bambulab_metrics_exporter)**.\r\n\r\n### Prometheus scrape config\r\n\r\nAdd this to your `prometheus.yml`:\r\n\r\n```yaml\r\nscrape_configs:\r\n  - job_name: bambulab\r\n    scrape_interval: 15s\r\n    scrape_timeout: 10s\r\n    static_configs:\r\n      - targets:\r\n          - localhost:9101        # Replace with your exporter host/port\r\n        labels:\r\n          environment: home\r\n```\r\n\r\nReload Prometheus after adding:\r\n\r\n```bash\r\ncurl -X POST http://localhost:9090/-/reload\r\n```\r\n\r\nVerify metrics are flowing by visiting:\r\n\r\n```\r\nhttp://localhost:9101/metrics\r\n```\r\n\r\nYou should see metrics prefixed with `bambulab_`.\r\n\r\n---\r\n\r\n## Dashboard panels\r\n\r\n### Printer status row\r\n\r\n| Panel | Type | Description |\r\n|---|---|---|\r\n| Printer health | Stat | Shows polling status, MQTT connection, error flag, and SD card presence as green/red indicators |\r\n| Gcode state | Stat | Current gcode state — IDLE, RUNNING, FINISH, PAUSED, FAILED etc. |\r\n| Print stage | Stat | Current print stage, MC stage code, and active sub-stage activity (bed heating, calibrating, etc.) |\r\n| Current job | Stat | Filename of the currently printing or last printed job |\r\n\r\n### Print progress row\r\n\r\n| Panel | Type | Description |\r\n|---|---|---|\r\n| Progress % | Gauge | Overall print completion percentage |\r\n| Layer counter | Stat | Current layer vs total layers (e.g. 423 / 899) |\r\n| Time remaining | Stat | Estimated time remaining formatted as HH:MM |\r\n| Progress over time | Time series | Progress % and layer progress % plotted over time, with remaining minutes on a second Y axis |\r\n\r\n### Temperatures row\r\n\r\n| Panel | Type | Description |\r\n|---|---|---|\r\n| Nozzle temperature | Gauge | Current nozzle temp with target overlay |\r\n| Bed temperature | Gauge | Current bed temp with target overlay |\r\n| Chamber temperature | Gauge | Chamber ambient temperature |\r\n| All temperatures | Time series | Nozzle, bed, and chamber temperatures on one graph with dashed target lines |\r\n\r\n### Fans row\r\n\r\n| Panel | Type | Description |\r\n|---|---|---|\r\n| Fan speeds | Bar gauge | All 5 fans (big fan 1 & 2, cooling, heatbreak, auxiliary) shown as horizontal bar gauges 0–100% |\r\n\r\n### AMS row\r\n\r\n| Panel | Type | Description |\r\n|---|---|---|\r\n| AMS filament inventory | Business Text | Visual spool cards per slot showing filament color, type, remaining %, and active indicator. Supports multiple AMS units side by side, responsive layout, with external spool shown separately at the bottom |\r\n| AMS humidity & temperature | Stat + Time series | Per-AMS-unit humidity %, humidity index, and internal temperature |\r\n| AMS status | Stat | AMS system status, RFID status, and auto-switch flag |\r\n\r\n### Speed & network row\r\n\r\n| Panel | Type | Description |\r\n|---|---|---|\r\n| Speed mode | Stat | Current speed profile — Silent, Standard, Sport, or Ludicrous |\r\n| Speed % | Stat | Speed magnitude as percentage relative to standard |\r\n| WiFi signal | Gauge | WiFi signal strength in dBm |\r\n| Queue | Stat | Number of queued jobs, current queue position, and estimated queue time |\r\n\r\n### Errors & safety row\r\n\r\n| Panel | Type | Description |\r\n|---|---|---|\r\n| Error state | Stat | Printer error flag, print error code, AP error code, filament tangle detection |\r\n| XCam features | Stat | Status of all XCam AI features — spaghetti detector, first layer inspector, print halt, printing monitor, buildplate marker detector |\r\n| Door & lights | Stat | Door open/closed, chamber light, work light |\r\n\r\n### Exporter health row\r\n\r\n| Panel | Type | Description |\r\n|---|---|---|\r\n| Scrape health | Stat | Exporter scrape success flag, scrape duration, and timestamp of last successful poll |\r\n\r\n---\r\n\r\n## Key metrics reference\r\n\r\n| Metric | Description |\r\n|---|---|\r\n| `bambulab_printer_up` | 1 if last poll had a valid payload |\r\n| `bambulab_printer_connected` | 1 if MQTT connection is active |\r\n| `bambulab_print_progress_percent` | Overall print progress 0–100 |\r\n| `bambulab_print_remaining_seconds` | Estimated seconds remaining |\r\n| `bambulab_print_layer_current` | Current layer number |\r\n| `bambulab_print_layer_total` | Total layer count |\r\n| `bambulab_nozzle_temperature_celsius` | Nozzle current temperature |\r\n| `bambulab_nozzle_target_temperature_celsius` | Nozzle target temperature |\r\n| `bambulab_bed_temperature_celsius` | Bed current temperature |\r\n| `bambulab_chamber_temperature_celsius` | Chamber temperature |\r\n| `bambulab_ams_slot_tray_info` | Filament color and type per AMS slot |\r\n| `bambulab_ams_slot_remaining_percent` | Remaining filament % per slot (-1 = no sensor) |\r\n| `bambulab_ams_unit_humidity` | AMS internal humidity % |\r\n| `bambulab_ams_unit_temperature_celsius` | AMS internal temperature |\r\n| `bambulab_printer_gcode_state` | One-hot gcode state label |\r\n| `bambulab_wifi_signal` | WiFi signal in dBm |\r\n| `bambulab_printer_error` | 1 when printer reports an error |\r\n| `bambulab_xcam_feature_enabled` | Per-feature XCam enabled flags |\r\n| `bambulab_external_spool_info` | External spool color, type, and filament code |\r\n\r\nFull metric list available at your exporter's `/metrics` endpoint.\r\n\r\n---\r\n\r\n## Multiple printers\r\n\r\nThe dashboard uses `printer_name` as a label on all metrics. To support multiple printers, add a **Dashboard variable**:\r\n\r\n1. Dashboard Settings → Variables → Add variable\r\n2. Type: **Query**\r\n3. Name: `printer`\r\n4. Query:\r\n```promql\r\nlabel_values(bambulab_printer_up, printer_name)\r\n```\r\n5. Then update all panel queries to use `{printer_name=\"$printer\"}` instead of a hardcoded name.\r\n\r\n---\r\n\r\n## Alerting suggestions\r\n\r\n| Alert | Condition |\r\n|---|---|\r\n| Printer offline | `bambulab_printer_up == 0` for > 2 minutes |\r\n| MQTT disconnected | `bambulab_printer_connected == 0` for > 1 minute |\r\n| Printer error | `bambulab_printer_error == 1` |\r\n| Filament tangle | `bambulab_filament_tangle_detected == 1` |\r\n| High chamber temp | `bambulab_chamber_temperature_celsius > 60` |\r\n| AMS high humidity | `bambulab_ams_unit_humidity_index >= 4` |\r\n| Print stalled | `bambulab_print_progress_percent` unchanged for > 30 minutes while `gcode_state == RUNNING` |\r\n\r\n---\r\n\r\n## License\r\n\r\nMIT — free to use, modify, and share.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-03-20T10:14:42.000Z","updatedAt":"2026-03-23T07:38:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25033"},{"rel":"revisions","href":"/dashboards/25033/revisions"},{"rel":"revision","href":"/dashboards/25033/revisions/2"},{"rel":"download","href":"/dashboards/25033/revisions/2/download"},{"rel":"org","href":"/orgs/idanbush"},{"rel":"images","href":"/dashboards/25033/images"},{"rel":"thumbnails","href":"/dashboards/25033/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24267,"status":1,"statusCode":"active","orgId":1118912,"orgSlug":"marcusronney","orgName":"marcusronney","slug":"banco-sql-microsoft","downloads":116,"revisionId":38727,"revision":1,"name":"Banco SQL Microsoft","description":"Microsoft SQL Server - 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Displays various license usage-related information by license feature including license usage over time and current license usage. When using this dashboard, there is a dropdown at the top left corner for selecting the license feature of interest. Make sure to select the appropriate feature. The most common feature of interest for a typical BBj installation will be \"BBJ.\"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-08-19T15:20:54.000Z","updatedAt":"2019-08-19T15:27:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10742"},{"rel":"revisions","href":"/dashboards/10742/revisions"},{"rel":"revision","href":"/dashboards/10742/revisions/1"},{"rel":"download","href":"/dashboards/10742/revisions/1/download"},{"rel":"org","href":"/orgs/basis"},{"rel":"images","href":"/dashboards/10742/images"},{"rel":"thumbnails","href":"/dashboards/10742/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22500,"status":1,"statusCode":"active","orgId":1282786,"orgSlug":"tpctpctpc","orgName":"tpctpctpc","slug":"bbxping","downloads":2537,"revisionId":35568,"revision":9,"name":"BBxPING","description":"[v2] Introducing BBxPING Gen2.","readme":"#### ◾️ BBxPing - ICMP Ping Monitor\r\nBBxPing dashboard relies on TSDB(Prometheus, VictoriaMetrics) to show ping results in multiple prospective:\r\n- City\r\n- ISP\r\n- IP version\r\n\r\n##### Example of prometheus.yml (for local machine)\r\n```\r\n  - job_name: \"{{example}}\"\r\n    metrics_path: '/probe'\r\n    params:\r\n      module: [icmp]\r\n    file_sd_configs:\r\n      - files:\r\n        - '/etc/prometheus/blackbox/*.yml'\r\n    relabel_configs:\r\n        - source_labels: [__address__]\r\n          target_label: __param_target\r\n        - source_labels: [__param_target]\r\n          target_label: instance\r\n        - target_label: __address__\r\n          replacement: localhost:9115\r\n```\r\n##### Example of Prometheus’s file_sd\r\n###### Anycast Server\r\n```\r\n    - targets:\r\n        - 8.8.8.8\r\n      labels:\r\n        name: 'GOOGLE'\r\n        code: 'ANYCAST'\r\n        ip: 'IPv4'\r\n\r\n    - targets:\r\n        - 2001:4860:4860::8888\r\n      labels:\r\n        name: 'GOOGLE'\r\n        code: 'ANYCAST'\r\n        ip: 'IPv6'\r\n```\r\n###### Multicast Server\r\n```\r\n    - targets:\r\n        - example.server(NTT, zum Beispiel/for example)\r\n      labels:\r\n        name: 'TYO-NTT'\r\n        code: 'NRT'\r\n        city: 'Tokyo'\r\n        isp: 'NTT'\r\n        ip: 'IPv4'\r\n```\r\n##### Compulsory Labels\r\n`code` `ip`\r\n##### Optional Labels (not shown if not defined)\r\n`name` `city` `isp`\r\n##### Should be specified \r\n`domestic: 'true'` (only on domestic servers)\r\n\r\n`code: 'ANYCAST'` (if the target is anycast)\r\n\r\n`code` (should follow the IATA airport code format if the target is anycast)\r\n\r\n\r\n### Chinese 中文\r\n#### ◾️ BBxPing - ICMP Ping 监控\r\nBBxPing 通过 Prometheus、VictoriaMetrics 等 TSDB 多维度展示机器 ping 的结果：\r\n- 服务器所在城市\r\n- 运营商名称\r\n- IPv4 / IPv6\r\n\r\n##### prometheus.yml 示例（以本地机器为例）\r\n```\r\n  - job_name: \"{{example}}\"\r\n    metrics_path: '/probe'\r\n    params:\r\n      module: [icmp]\r\n    file_sd_configs:\r\n      - files:\r\n        - '/etc/prometheus/blackbox/*.yml'\r\n    relabel_configs:\r\n        - source_labels: [__address__]\r\n          target_label: __param_target\r\n        - source_labels: [__param_target]\r\n          target_label: instance\r\n        - target_label: __address__\r\n          replacement: localhost:9115\r\n```\r\n##### Prometheus 的 file_sd 示例\r\n###### Anycast 服务器\r\n```\r\n    - targets:\r\n        - 8.8.8.8\r\n      labels:\r\n        name: 'GOOGLE'\r\n        code: 'ANYCAST'\r\n        ip: 'IPv4'\r\n\r\n    - targets:\r\n        - 2001:4860:4860::8888\r\n      labels:\r\n        name: 'GOOGLE'\r\n        code: 'ANYCAST'\r\n        ip: 'IPv6'\r\n\r\n```\r\n###### Multicast 服务器\r\n\r\n```\r\n    - targets:\r\n        - example.server(以 NTT 为运营商举例)\r\n      labels:\r\n        name: '日本1'\r\n        code: 'NRT'\r\n        city: '东京'\r\n        isp: 'NTT'\r\n        ip: 'IPv4'\r\n```\r\n##### 必填 label\r\n`code` `ip`\r\n##### 可选 label（不写则不显示）\r\n`name` `city` `isp`\r\n##### 特殊 label\r\n`domestic: 'true'`（目标位于本国）\r\n\r\n`code: 'ANYCAST'`（目标为 Anycast）\r\n\r\n`code`（应遵循 IATA 机场代码格式填写）","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-12-10T14:55:03.000Z","updatedAt":"2024-12-26T14:26:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22500"},{"rel":"revisions","href":"/dashboards/22500/revisions"},{"rel":"revision","href":"/dashboards/22500/revisions/9"},{"rel":"download","href":"/dashboards/22500/revisions/9/download"},{"rel":"org","href":"/orgs/tpctpctpc"},{"rel":"images","href":"/dashboards/22500/images"},{"rel":"thumbnails","href":"/dashboards/22500/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22502,"status":1,"statusCode":"active","orgId":1282786,"orgSlug":"tpctpctpc","orgName":"tpctpctpc","slug":"bbxping-raw","downloads":1012,"revisionId":35387,"revision":3,"name":"BBxPing Raw","description":"[v1.2] Fixed naming in graphs.","readme":"This is a variant of `22500`, an **extremely basic** version, where you can see all raw icmp ping results at a glance. \r\nCheck the prometheus configuration at [22500](https://grafana.com/grafana/dashboards/22500-bbxping/).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-12-10T16:43:40.000Z","updatedAt":"2024-12-11T10:24:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22502"},{"rel":"revisions","href":"/dashboards/22502/revisions"},{"rel":"revision","href":"/dashboards/22502/revisions/3"},{"rel":"download","href":"/dashboards/22502/revisions/3/download"},{"rel":"org","href":"/orgs/tpctpctpc"},{"rel":"images","href":"/dashboards/22502/images"},{"rel":"thumbnails","href":"/dashboards/22502/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21004,"status":1,"statusCode":"active","orgId":910844,"orgSlug":"toino","orgName":"toino","slug":"carp-server-monitoring","downloads":288,"revisionId":32630,"revision":1,"name":"BeamMP Server Monitoring Using Infinity Datasource","description":"This Dashboard was built to monitor the CaRP Servers by making a POST Request to https://backend.beammp.com/servers and parsing the data.","readme":"This Dashboard was built to monitor the CaRP Servers by making a POST Request to https://backend.beammp.com/servers and parsing the data.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Infinity","privacy":"public","createdAt":"2024-05-04T21:44:46.000Z","updatedAt":"2024-05-05T08:26:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21004"},{"rel":"revisions","href":"/dashboards/21004/revisions"},{"rel":"revision","href":"/dashboards/21004/revisions/1"},{"rel":"download","href":"/dashboards/21004/revisions/1/download"},{"rel":"org","href":"/orgs/toino"},{"rel":"images","href":"/dashboards/21004/images"},{"rel":"thumbnails","href":"/dashboards/21004/thumbnails"}],"datasourceSlugs":["yesoreyeram-infinity-datasource"]},{"id":11665,"status":1,"statusCode":"active","orgId":260950,"orgSlug":"ethrbunny","orgName":"ethrbunny","slug":"beats","downloads":1118,"revisionId":16463,"revision":1,"name":"Beats","description":"Status and versions of various elasticsearch beats inputs","readme":"Shows data rate and source of various elasticsearch beats inputs. Includes filters for 'out of date' versions.","collectorType":"Beats","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2020-01-29T12:02:03.000Z","updatedAt":"2020-01-29T12:30:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/11665"},{"rel":"revisions","href":"/dashboards/11665/revisions"},{"rel":"revision","href":"/dashboards/11665/revisions/1"},{"rel":"download","href":"/dashboards/11665/revisions/1/download"},{"rel":"org","href":"/orgs/ethrbunny"},{"rel":"images","href":"/dashboards/11665/images"},{"rel":"thumbnails","href":"/dashboards/11665/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":12989,"status":1,"statusCode":"active","orgId":305004,"orgSlug":"saviano","orgName":"saviano","slug":"bedroom-temperature","downloads":558,"revisionId":18795,"revision":1,"name":"Bedroom Temperature","description":"Simple graph to show temperature and humidity\n","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-09-11T20:06:26.000Z","updatedAt":"2020-09-11T20:07:31.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12989"},{"rel":"revisions","href":"/dashboards/12989/revisions"},{"rel":"revision","href":"/dashboards/12989/revisions/1"},{"rel":"download","href":"/dashboards/12989/revisions/1/download"},{"rel":"org","href":"/orgs/saviano"},{"rel":"images","href":"/dashboards/12989/images"},{"rel":"thumbnails","href":"/dashboards/12989/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14602,"status":1,"statusCode":"active","orgId":503513,"orgSlug":"yngfng","orgName":"yngfng","slug":"bee-monitor","downloads":397,"revisionId":21650,"revision":1,"name":"bee-monitor","description":"monitor for swarm bee node","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-06-21T06:54:26.000Z","updatedAt":"2021-06-21T06:55:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14602"},{"rel":"revisions","href":"/dashboards/14602/revisions"},{"rel":"revision","href":"/dashboards/14602/revisions/1"},{"rel":"download","href":"/dashboards/14602/revisions/1/download"},{"rel":"org","href":"/orgs/yngfng"},{"rel":"images","href":"/dashboards/14602/images"},{"rel":"thumbnails","href":"/dashboards/14602/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6621,"status":1,"statusCode":"active","orgId":161448,"orgSlug":"loganasherjones","orgName":"loganasherjones","slug":"beer-garden-performance","downloads":398,"revisionId":9045,"revision":2,"name":"Beer Garden Performance","description":"","readme":"# Beer Garden Performance Dashboard\r\n\r\nA dashboard showing you some basic information about your Beer Garden installation. The top half of the dashboard is meant to give you an \"at a glance\" look at how all of your plugins are doing. \r\n\r\nThe performance section of the dashboard shows you the latency of the API server itself. This will be helpful for administrators of Beer Garden itself.\r\n\r\nCheck out more on https://beer-garden.io","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-06-23T17:28:49.000Z","updatedAt":"2018-06-23T21:04:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6621"},{"rel":"revisions","href":"/dashboards/6621/revisions"},{"rel":"revision","href":"/dashboards/6621/revisions/2"},{"rel":"download","href":"/dashboards/6621/revisions/2/download"},{"rel":"org","href":"/orgs/loganasherjones"},{"rel":"images","href":"/dashboards/6621/images"},{"rel":"thumbnails","href":"/dashboards/6621/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6624,"status":1,"statusCode":"active","orgId":161448,"orgSlug":"loganasherjones","orgName":"loganasherjones","slug":"plugin-performance","downloads":367,"revisionId":9042,"revision":1,"name":"Beer Garden Plugin Performance","description":"A dashboard for plugins in Beer Garden","readme":"# Beer Garden Plugin Performance\r\n\r\nTake your Beer Garden plugins to the next level by introducing monitoring and metrics. With this simple dashboard, you will get a current snapshot of your plugin's state, as well as latency metrics for how long each of your commands is taking. \r\n\r\nCheckout more on https://beer-garden.io","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-06-23T17:41:43.000Z","updatedAt":"2018-06-23T17:49:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6624"},{"rel":"revisions","href":"/dashboards/6624/revisions"},{"rel":"revision","href":"/dashboards/6624/revisions/1"},{"rel":"download","href":"/dashboards/6624/revisions/1/download"},{"rel":"org","href":"/orgs/loganasherjones"},{"rel":"images","href":"/dashboards/6624/images"},{"rel":"thumbnails","href":"/dashboards/6624/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19538,"status":1,"statusCode":"active","orgId":943182,"orgSlug":"ilyalep","orgName":"ilyalep","slug":"benthos-monitoring","downloads":971,"revisionId":29974,"revision":1,"name":"Benthos monitoring","description":"Dasboard for denthos default prometheus exporter","readme":"Dasboard for denthos default prometheus exporter","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-09-11T18:36:28.000Z","updatedAt":"2023-09-12T09:27:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19538"},{"rel":"revisions","href":"/dashboards/19538/revisions"},{"rel":"revision","href":"/dashboards/19538/revisions/1"},{"rel":"download","href":"/dashboards/19538/revisions/1/download"},{"rel":"org","href":"/orgs/ilyalep"},{"rel":"images","href":"/dashboards/19538/images"},{"rel":"thumbnails","href":"/dashboards/19538/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20305,"status":1,"statusCode":"active","orgId":1029960,"orgSlug":"hyeongjundev","orgName":"HyeongjunYu","slug":"berachain-validator-monitoring","downloads":380,"revisionId":31369,"revision":6,"name":"Berachain Validator Monitoring","description":"All in one monitoring for Berachain.\nThis dashboard is designed to monitor the validator node of the Berachain.","readme":"![Berachain](https://raw.githubusercontent.com/hyeongjun-dev/berachain-validator-monitoring/main/image/berachain.jpg)\r\n\r\n# Berachain Validator Monitoring\r\n\r\nAll in one monitoring for `Berachain`.\r\nThis dashboard is designed to monitor the validator node of the `Berachain`.\r\n\r\n> **Note**:\r\n> This dashboard is also available on the [GitHub Repository](https://github.com/hyeongjun-dev/berachain-validator-monitoring)\r\n\r\n![screenshot](https://raw.githubusercontent.com/hyeongjun-dev/berachain-validator-monitoring/main/image/screenshot.png)\r\n\r\n## Getting started\r\n\r\n- Dedicated monitoring instance : `Prometheus` + `Grafana` + `Node Exporter`\r\n- Nodes : `Berachain validator node` + `node exporter`\r\n- Communication : For a secure and light connection, I recommend scraping only allowed connections. You can also use a reverse proxy if you prefer.\r\n\r\n### Prerequisite\r\n\r\n- Prometheus\r\n- Berachain validator node\r\n- Berachain metric exporter\r\n- Node exporter\r\n\r\n#### Install Node exporter\r\n\r\n```shell\r\napt install prometheus-node-exporter\r\n```\r\n\r\nEnsure that `node-exporter` is installed on your validator to pull node metrics\r\n\r\n### Prometheus Configuration\r\n\r\nThis dashboard assumes that you have a chain tag for capturing Prometheus metrics. This tag is used to switch between testnet and mainnet monitoring. Without this chain label, the dashboard will not display any data.\r\n\r\nPlease set up your `prometheus.yml` file as follows:\r\n\r\n```yaml\r\n## Prometheus.yaml example for node monitoring\r\n# Ensure these are available from the prometheus server.\r\n# 9100 port is prometheus-node-exporter\r\n# 26660 port is the default Bera metrics port\r\n  - job_name: \"bera-chain\"\r\n    static_configs:\r\n      - targets: [\"vn.testnet.bera.xxxx.com:9100\", \"vn.testnet.bera.xxxx.com:26660\"]\r\n        labels:\r\n          group: \"validator\"\r\n          chain: \"testnet\"\r\n  - job_name: \"bera-chain\"\r\n    static_configs:\r\n      - targets: [\"vn.mainnet.bera.xxxx.com:9100\", \"vn.mainnet.bera.xxxx.com:26660\"]\r\n        labels:\r\n          group: \"validator\"\r\n          chain: \"mainnet\"\r\n```\r\n\r\nNote: These exact Prometheus chain names (`testnet` or `mainnet`) are used in variables in the dashboard to retrieve metrics from the API.\r\n\r\n> If you choose NOT to use these chain names in your prometheus.yml file, you will need to change these names in the Variables section within the dashboard itself.\r\n\r\n## Contributing\r\n\r\nI'd love my work to be useful for everyone, please feel free to let me know any comments or feedback!\r\n\r\nAlso if you'd like to contribute, please fork the repository and use a feature\r\nbranch. Pull requests are warmly welcome.\r\n\r\n### Related project\r\n\r\n- `Berachain` Project : https://www.berachain.com\r\n- `Berachain` GitHub : https://github.com/berachain\r\n\r\n### Who am I\r\n\r\n- Author : https://hyeongjun-dev.webflow.io\r\n- Twitter : [@devgang_eth](https://twitter.com/devgang_eth)\r\n- Linkedin : https://www.linkedin.com/in/hyeongjun-yu-dev\r\n- GitHub : https://github.com/hyeongjun-dev\r\n- Blog(Medium) : https://hyeongjun-dev.medium.com\r\n- Email : hyeongjun.dev@gmail.com\r\n\r\n## Licensing\r\n\r\nThe code in this project is licensed under MIT license.","collectorType":"nodeExporter","collectorConfig":"Requirements:\r\n- Prometheus\r\n- Berachain validator node \r\n- Berachain metric exporter\r\n- Node exporter","collectorPluginList":"cpu, diskstats, filefd, meminfo, vmstat, tcpstat","datasource":"Prometheus","privacy":"public","createdAt":"2024-01-15T06:27:37.000Z","updatedAt":"2024-01-21T03:54:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20305"},{"rel":"revisions","href":"/dashboards/20305/revisions"},{"rel":"revision","href":"/dashboards/20305/revisions/6"},{"rel":"download","href":"/dashboards/20305/revisions/6/download"},{"rel":"org","href":"/orgs/hyeongjundev"},{"rel":"images","href":"/dashboards/20305/images"},{"rel":"thumbnails","href":"/dashboards/20305/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18419,"status":1,"statusCode":"active","orgId":824287,"orgSlug":"ambichetan","orgName":"ambichetan","slug":"besu-full","downloads":882,"revisionId":28249,"revision":1,"name":"Besu - Full","description":"Provides detailed metrics of Besu nodes","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-02T02:21:07.000Z","updatedAt":"2023-04-02T02:21:23.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18419"},{"rel":"revisions","href":"/dashboards/18419/revisions"},{"rel":"revision","href":"/dashboards/18419/revisions/1"},{"rel":"download","href":"/dashboards/18419/revisions/1/download"},{"rel":"org","href":"/orgs/ambichetan"},{"rel":"images","href":"/dashboards/18419/images"},{"rel":"thumbnails","href":"/dashboards/18419/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16455,"status":1,"statusCode":"active","orgId":254595,"orgSlug":"consensys","orgName":"Consensys","slug":"besu-full","downloads":1847,"revisionId":38503,"revision":11,"name":"Besu Full","description":"Provides detailed metrics of Besu nodes","readme":"Besu Full\r\n========\r\n\r\nProvides a detailed dashboard for monitoring many aspects of a Besu Ethereum node. The required data is exported directly from Besu to a Prometheus data store. See the [documentation](https://besu.hyperledger.org/public-networks/how-to/monitor/metrics) on how to configure Besu and Prometheus.\r\n\r\nThe dashboard provides all the information of Besu overview, plus many internal details, that are useful for advanced users that want to have a fine grained view on what is happening in Besu.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-06-15T15:15:33.000Z","updatedAt":"2025-09-23T06:30:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16455"},{"rel":"revisions","href":"/dashboards/16455/revisions"},{"rel":"revision","href":"/dashboards/16455/revisions/11"},{"rel":"download","href":"/dashboards/16455/revisions/11/download"},{"rel":"org","href":"/orgs/consensys"},{"rel":"images","href":"/dashboards/16455/images"},{"rel":"thumbnails","href":"/dashboards/16455/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22008,"status":1,"statusCode":"active","orgId":1009725,"orgSlug":"bitrock72","orgName":"bitrock72","slug":"besu-full","downloads":258,"revisionId":34479,"revision":1,"name":"Besu Full","description":"Provides detailed metrics of Besu nodes","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-10-02T16:12:46.000Z","updatedAt":"2024-10-02T16:13:14.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22008"},{"rel":"revisions","href":"/dashboards/22008/revisions"},{"rel":"revision","href":"/dashboards/22008/revisions/1"},{"rel":"download","href":"/dashboards/22008/revisions/1/download"},{"rel":"org","href":"/orgs/bitrock72"},{"rel":"images","href":"/dashboards/22008/images"},{"rel":"thumbnails","href":"/dashboards/22008/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20690,"status":1,"statusCode":"active","orgId":1076397,"orgSlug":"atomniketh","orgName":"atomniketh","slug":"besu-full","downloads":267,"revisionId":31999,"revision":1,"name":"Besu Full","description":"Provides detailed metrics of Besu nodes","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-14T22:13:29.000Z","updatedAt":"2024-03-14T22:14:14.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20690"},{"rel":"revisions","href":"/dashboards/20690/revisions"},{"rel":"revision","href":"/dashboards/20690/revisions/1"},{"rel":"download","href":"/dashboards/20690/revisions/1/download"},{"rel":"org","href":"/orgs/atomniketh"},{"rel":"images","href":"/dashboards/20690/images"},{"rel":"thumbnails","href":"/dashboards/20690/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10273,"status":1,"statusCode":"active","orgId":254595,"orgSlug":"consensys","orgName":"Consensys","slug":"besu-overview","downloads":485208,"revisionId":15223,"revision":5,"name":"Besu Overview","description":"Provides an overview of Besu nodes","readme":"Besu Overview\r\n=================\r\nProvides a dashboard for monitoring a Besu Ethereum node. The required data is exported directly from Besu to a Prometheus data store.  See the [documentation](https://besu.hyperledger.org/public-networks/how-to/monitor/metrics) on how to configure Besu and Prometheus.\r\n\r\nThe dashboard provides information on how well connected Besu is to the network, sync state, block import rate, along with CPU and memory usage statistics.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-05-29T23:49:21.000Z","updatedAt":"2024-01-18T04:39:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/10273"},{"rel":"revisions","href":"/dashboards/10273/revisions"},{"rel":"revision","href":"/dashboards/10273/revisions/5"},{"rel":"download","href":"/dashboards/10273/revisions/5/download"},{"rel":"org","href":"/orgs/consensys"},{"rel":"images","href":"/dashboards/10273/images"},{"rel":"thumbnails","href":"/dashboards/10273/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17137,"status":1,"statusCode":"active","orgId":722160,"orgSlug":"myclassicbesunode","orgName":"myclassicbesunode","slug":"besu-overview","downloads":274,"revisionId":26326,"revision":1,"name":"Besu Overview","description":"Provides an overview of Besu 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Kubernetes cluster.","readme":"This dashboard is based on the original [DCGM-Exporter dashboard](https://github.com/NVIDIA/dcgm-exporter) by NVIDIA, but comes with an improved layout and a few additional visualizations.\r\n\r\n## Changes over upstream dashboard\r\n- Better layout, thinner lines\r\n- Uses the `Hostname` label for the host variable instead of `instance`\r\n- Legend labels are prefixed with hostnames\r\n- Displays cumulative energy draw over last 1h and last 24h\r\n- Larger range on total GPU power gauge (you should adjust this to your total max wattage)\r\n- Displays GPU memory usage as percentage in addition to absolute values\r\n- Power, GPU, and memory utilization graphs use stacked y axes","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-12-12T16:02:37.000Z","updatedAt":"2024-12-12T16:03:02.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22515"},{"rel":"revisions","href":"/dashboards/22515/revisions"},{"rel":"revision","href":"/dashboards/22515/revisions/1"},{"rel":"download","href":"/dashboards/22515/revisions/1/download"},{"rel":"org","href":"/orgs/phoerious"},{"rel":"images","href":"/dashboards/22515/images"},{"rel":"thumbnails","href":"/dashboards/22515/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13683,"status":1,"statusCode":"active","orgId":234141,"orgSlug":"mephisto","orgName":"mephisto","slug":"better-ssl-monitoring-x509-cert","downloads":952,"revisionId":20106,"revision":3,"name":"Better SSL Monitoring (x509_cert)","description":"A very simple and visual Dashboard to monitor SSL Certificates (x.509) using the native inputs.x509_cert from Telegraf.\r\nIt just works automatically once the sources are added to telegraf.","readme":"Just place the configuration to your telegraf instance and import the Dashboard template. \r\n\r\nTo just have a Box with the next due certificate on your main Situation Room Dashboard you can use the following query:\r\n\r\n`SELECT (bottom(expiry,common_name,1)/60/60/24) as exp,common_name FROM \"x509_cert\" WHERE time >= now() - 1h`\r\n\r\nIt's easy to maintain the Config in a Git repo and pull it ever few hours to your Telegraf Server. Such a Cron could look like:\r\n\r\n`0 0,3,6,9,12,15,18,21 * * * /usr/bin/git archive --remote=ssh://git@your.gitrepo:7999/sslchec/domains.git HEAD certs.conf|tar -xO > /etc/telegraf/telegraf.d/certs.conf && killall -1 telegraf`\r\n","collectorType":"Telegraf","collectorConfig":"File: `/etc/telegraf/telegraf.d/certs.conf`\r\n\r\n```\r\n[[inputs.x509_cert]]\r\n  interval = \"300s\"\r\n\r\n  ## List certificate sources\r\n  sources = [\r\n        \"https://my.host.to.monitor:443\",\r\n        \"https://my.second.host.to.monitor:443\"\r\n  ]\r\n\r\n  ## Timeout for SSL connection\r\n  # timeout = \"5s\"\r\n\r\n  ## Pass a different name into the TLS request (Server Name Indication)\r\n  ##   example: server_name = \"myhost.example.org\"\r\n  # server_name = \"myhost.example.org\"\r\n\r\n  ## Optional TLS Config\r\n  # tls_ca = \"/etc/telegraf/ca.pem\"\r\n  # tls_cert = \"/etc/telegraf/cert.pem\"\r\n  # tls_key = \"/etc/telegraf/key.pem\"\r\n```","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2021-01-05T18:02:01.000Z","updatedAt":"2021-01-23T16:21:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13683"},{"rel":"revisions","href":"/dashboards/13683/revisions"},{"rel":"revision","href":"/dashboards/13683/revisions/3"},{"rel":"download","href":"/dashboards/13683/revisions/3/download"},{"rel":"org","href":"/orgs/mephisto"},{"rel":"images","href":"/dashboards/13683/images"},{"rel":"thumbnails","href":"/dashboards/13683/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19697,"status":1,"statusCode":"active","orgId":958246,"orgSlug":"dennisfaucher","orgName":"dennisfaucher","slug":"better-top","downloads":395,"revisionId":30234,"revision":1,"name":"bettertop","description":"The dashboard built using these instructions: https://www.junosnotes.com/devops/monitoring-linux-processes-using-prometheus-and-grafana/","readme":"Here are the top scripts that push CPU and RAM metrics to Prometheus:\r\n\r\n$ cat better-top.sh\r\n#!/bin/bash\r\n#z=$(ps aux)\r\nz=$(ps auxc)\r\nwhile read -r z\r\ndo\r\n   var=$var$(awk '{print \"cpu_usage{hostname=\\\"plex-addons\\\", process=\\\"\"$11\"\\\", pid=\\\"\"$2\"\\\"}\", $3z}');\r\ndone <<< \"$z\"\r\ncurl -X POST -H  \"Content-Type: text/plain\" --data \"$var\r\n\" http://localhost:9091/metrics/job/top/instance/machine\r\n\r\n====\r\n\r\n$ cat better-top-ram.sh\r\n#!/bin/bash\r\n#z=$(ps aux)\r\nz=$(ps auxc)\r\nwhile read -r z\r\ndo\r\n   var=$var$(awk '{print \"memory_usage{hostname=\\\"plex-addons\\\", process=\\\"\"$11\"\\\", pid=\\\"\"$2\"\\\"}\", $4z}');\r\ndone <<< \"$z\"\r\ncurl -X POST -H  \"Content-Type: text/plain\" --data \"$var\r\n\" http://localhost:9091/metrics/job/top/instance/machine","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-10-03T16:45:45.000Z","updatedAt":"2023-10-03T17:16:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19697"},{"rel":"revisions","href":"/dashboards/19697/revisions"},{"rel":"revision","href":"/dashboards/19697/revisions/1"},{"rel":"download","href":"/dashboards/19697/revisions/1/download"},{"rel":"org","href":"/orgs/dennisfaucher"},{"rel":"images","href":"/dashboards/19697/images"},{"rel":"thumbnails","href":"/dashboards/19697/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19923,"status":1,"statusCode":"active","orgId":5000,"orgSlug":"grafana","orgName":"Grafana Labs","slug":"beyla-red-metrics","downloads":8184,"revisionId":32511,"revision":3,"name":"Beyla RED Metrics","description":"HTTP and gRPC RED metrics visualization for Grafana Beyla","readme":"Grafana Beyla is an eBPF-based application auto-instrumentation tool to easily get started with Application Observability. eBPF is used to automatically inspect application executables and the OS networking layer and capture basic trace spans related to web transactions and Rate-Errors-Duration (RED) metrics for Linux HTTP/S and gRPC services. 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The `bind_exporter` is created by DigitalOcean and [hosted on Github](https://github.com/digitalocean/bind_exporter).\r\n\r\nRequired configuration in `/etc/bind/named.conf.options`:\r\n\r\n```\r\nstatistics-channels {\r\n  inet 127.0.0.1 port 8053 allow { 127.0.0.1; };\r\n};\r\n```\r\n\r\nYou need to start the collector with access to the bind(named) pid file and enable the view stats group:\r\n\r\n```\r\n/usr/local/bin/bind_exporter -bind.pid-file /var/run/named/named.pid -bind.stats-groups \"server,view,tasks\"\r\n```\r\n\r\nThis dashboard is an improved version of the [official dashboard](https://grafana.com/dashboards/1666). It doesn't require aliases to be set in any specific way in the Prometheus config, makes the display more compact, fixes panel group names and other tweaks. It should work out of the box.\r\n\r\nImprovements and suggestions for this dashboard are welcome on: <https://gitlab.com/anarcat/grafana-dashboards>","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-04-10T16:40:11.000Z","updatedAt":"2019-04-10T19:05:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10024"},{"rel":"revisions","href":"/dashboards/10024/revisions"},{"rel":"revision","href":"/dashboards/10024/revisions/2"},{"rel":"download","href":"/dashboards/10024/revisions/2/download"},{"rel":"org","href":"/orgs/anarcat"},{"rel":"images","href":"/dashboards/10024/images"},{"rel":"thumbnails","href":"/dashboards/10024/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17389,"status":1,"statusCode":"active","orgId":737359,"orgSlug":"wyrdfish","orgName":"wyrdfish","slug":"bind-dns","downloads":321,"revisionId":26718,"revision":1,"name":"Bind DNS","description":"Bind DNS Service Statistics.\r\n","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-11T08:46:25.000Z","updatedAt":"2022-11-11T08:46:40.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17389"},{"rel":"revisions","href":"/dashboards/17389/revisions"},{"rel":"revision","href":"/dashboards/17389/revisions/1"},{"rel":"download","href":"/dashboards/17389/revisions/1/download"},{"rel":"org","href":"/orgs/wyrdfish"},{"rel":"images","href":"/dashboards/17389/images"},{"rel":"thumbnails","href":"/dashboards/17389/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12309,"status":1,"statusCode":"active","orgId":382448,"orgSlug":"pecastro","orgName":"Paulo  Castro","slug":"bind9-exporter-dns","downloads":9480,"revisionId":33808,"revision":5,"name":"Bind9 Exporter DNS","description":"Bind9 DNS Service Statistics.","readme":"This dashboard is designed to display metrics collected by prometheus from the bind_exporter (ISC BIND DNS server). The bind_exporter is created by DigitalOcean and hosted at https://github.com/prometheus-community/bind_exporter.\r\n\r\nImproved over the original version [Bind DNS](https://grafana.com/grafana/dashboards/1666)\r\n\r\nSource here: [Github](https://github.com/pecastro/grafana-dashboards/blob/master/prometheus/bind9-exporter-dns.json)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-05-16T22:21:33.000Z","updatedAt":"2024-07-30T22:48:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12309"},{"rel":"revisions","href":"/dashboards/12309/revisions"},{"rel":"revision","href":"/dashboards/12309/revisions/5"},{"rel":"download","href":"/dashboards/12309/revisions/5/download"},{"rel":"org","href":"/orgs/pecastro"},{"rel":"images","href":"/dashboards/12309/images"},{"rel":"thumbnails","href":"/dashboards/12309/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20723,"status":1,"statusCode":"active","orgId":1079102,"orgSlug":"krezovic","orgName":"krezovic","slug":"bind9-dns","downloads":989,"revisionId":32060,"revision":1,"name":"Bind9 Exporter DNS (2024)","description":"Bind9 DNS Service Statistics","readme":"This dashboard is designed to display metrics collected by prometheus from the bind_exporter (ISC BIND DNS server). The bind_exporter is created by DigitalOcean and hosted at [https://github.com/prometheus-community/bind_exporter](https://github.com/prometheus-community/bind_exporter).\r\n\r\nUpdated version of the [Bind9 Exporter DNS](https://grafana.com/grafana/dashboards/12309-bind9-exporter-dns/) to get rid of Angular deprecations. Tested with bind-exporter 0.7.0 and Grafana 10.4.0.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-18T22:07:20.000Z","updatedAt":"2024-03-18T22:18:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20723"},{"rel":"revisions","href":"/dashboards/20723/revisions"},{"rel":"revision","href":"/dashboards/20723/revisions/1"},{"rel":"download","href":"/dashboards/20723/revisions/1/download"},{"rel":"org","href":"/orgs/krezovic"},{"rel":"images","href":"/dashboards/20723/images"},{"rel":"thumbnails","href":"/dashboards/20723/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12172,"status":1,"statusCode":"active","orgId":54000,"orgSlug":"rfraile","orgName":"rfmoz","slug":"bind9-full","downloads":10308,"revisionId":40440,"revision":6,"name":"Bind9 Full","description":"Bind9 exporter monitoring","readme":"Nearly all values exported by prometheus-bind-exporter\r\n\r\nAvailable on github: [https://github.com/rfmoz/grafana-dashboards.git](https://github.com/rfmoz/grafana-dashboards.git)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-24T17:30:32.000Z","updatedAt":"2026-04-11T08:14:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12172"},{"rel":"revisions","href":"/dashboards/12172/revisions"},{"rel":"revision","href":"/dashboards/12172/revisions/6"},{"rel":"download","href":"/dashboards/12172/revisions/6/download"},{"rel":"org","href":"/orgs/rfraile"},{"rel":"images","href":"/dashboards/12172/images"},{"rel":"thumbnails","href":"/dashboards/12172/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5259,"status":1,"statusCode":"active","orgId":60287,"orgSlug":"openbsod","orgName":"Edouard 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https://github.com/ArtamaMeyer/bitaxeGrafana/tree/main","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-09-22T18:33:28.000Z","updatedAt":"2024-09-22T18:35:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21947"},{"rel":"revisions","href":"/dashboards/21947/revisions"},{"rel":"revision","href":"/dashboards/21947/revisions/1"},{"rel":"download","href":"/dashboards/21947/revisions/1/download"},{"rel":"org","href":"/orgs/lameir"},{"rel":"images","href":"/dashboards/21947/images"},{"rel":"thumbnails","href":"/dashboards/21947/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22048,"status":1,"statusCode":"active","orgId":1241747,"orgSlug":"sambinya","orgName":"sambinya","slug":"bitaxe","downloads":308,"revisionId":34573,"revision":1,"name":"Bitaxe","description":"bitaxe 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Exporter For Bitbucket.\r\nAvailable on github: https://github.com/AndreyVMarkelov/prom-bitbucket-exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-14T13:53:36.000Z","updatedAt":"2018-07-14T13:57:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/6984"},{"rel":"revisions","href":"/dashboards/6984/revisions"},{"rel":"revision","href":"/dashboards/6984/revisions/1"},{"rel":"download","href":"/dashboards/6984/revisions/1/download"},{"rel":"org","href":"/orgs/amarkelov"},{"rel":"images","href":"/dashboards/6984/images"},{"rel":"thumbnails","href":"/dashboards/6984/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11528,"status":1,"statusCode":"active","orgId":333644,"orgSlug":"edusumiya","orgName":"edusumiya","slug":"bitbucket","downloads":377,"revisionId":16252,"revision":1,"name":"Bitbucket 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Bitcoin Dashboard\r\n\r\n[prometheus_exporter](https://github.com/tinoschroeter/prometheus_exporter)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-02-24T21:42:02.000Z","updatedAt":"2022-02-24T21:48:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15810"},{"rel":"revisions","href":"/dashboards/15810/revisions"},{"rel":"revision","href":"/dashboards/15810/revisions/1"},{"rel":"download","href":"/dashboards/15810/revisions/1/download"},{"rel":"org","href":"/orgs/tinoschroeter"},{"rel":"images","href":"/dashboards/15810/images"},{"rel":"thumbnails","href":"/dashboards/15810/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6973,"status":1,"statusCode":"active","orgId":125393,"orgSlug":"hunterlong","orgName":"hunterlong","slug":"btc-exporter","downloads":723,"revisionId":9490,"revision":1,"name":"Bitcoin Exporter","description":"Monitor and Graph Bitcoin wallet balances with ease","readme":"# Bitcoin Exporter\r\nA lightweight [Prometheus exporter](https://github.com/hunterlong/btcexporter) that will output Bitcoin Balances from a list of addresses you specify. BTCexporter uses blockchain.info to fetch bitcoin balances.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-13T21:23:21.000Z","updatedAt":"2018-07-14T00:48:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6973"},{"rel":"revisions","href":"/dashboards/6973/revisions"},{"rel":"revision","href":"/dashboards/6973/revisions/1"},{"rel":"download","href":"/dashboards/6973/revisions/1/download"},{"rel":"org","href":"/orgs/hunterlong"},{"rel":"images","href":"/dashboards/6973/images"},{"rel":"thumbnails","href":"/dashboards/6973/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11274,"status":1,"statusCode":"active","orgId":317698,"orgSlug":"jvstein","orgName":"jvstein","slug":"bitcoin","downloads":1000,"revisionId":15758,"revision":1,"name":"Bitcoin Node","description":"Monitor your Bitcoin core node and aspects of the network.","readme":"# Bitcoin Node Dashboard\n\nDashboard to be used with [bitcoin-prometheus-exporter](https://github.com/jvstein/bitcoin-prometheus-exporter). Displays metrics exposed by the Bitcoin core node via RPC.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-26T03:24:34.000Z","updatedAt":"2019-11-26T05:21:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11274"},{"rel":"revisions","href":"/dashboards/11274/revisions"},{"rel":"revision","href":"/dashboards/11274/revisions/1"},{"rel":"download","href":"/dashboards/11274/revisions/1/download"},{"rel":"org","href":"/orgs/jvstein"},{"rel":"images","href":"/dashboards/11274/images"},{"rel":"thumbnails","href":"/dashboards/11274/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21417,"status":1,"statusCode":"active","orgId":1133361,"orgSlug":"wtwine","orgName":"wtwine","slug":"bitcoin-node","downloads":256,"revisionId":33358,"revision":1,"name":"Bitcoin Node","description":"Monitor your Bitcoin core node and aspects of the network.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-30T08:17:54.000Z","updatedAt":"2024-06-30T08:18:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21417"},{"rel":"revisions","href":"/dashboards/21417/revisions"},{"rel":"revision","href":"/dashboards/21417/revisions/1"},{"rel":"download","href":"/dashboards/21417/revisions/1/download"},{"rel":"org","href":"/orgs/wtwine"},{"rel":"images","href":"/dashboards/21417/images"},{"rel":"thumbnails","href":"/dashboards/21417/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17481,"status":1,"statusCode":"active","orgId":722446,"orgSlug":"idustbin","orgName":"idustbin","slug":"bitcoin-node","downloads":323,"revisionId":26843,"revision":1,"name":"Bitcoin Node","description":"Monitor your Bitcoin core node and aspects of the network.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-25T02:13:04.000Z","updatedAt":"2022-11-25T02:13:26.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17481"},{"rel":"revisions","href":"/dashboards/17481/revisions"},{"rel":"revision","href":"/dashboards/17481/revisions/1"},{"rel":"download","href":"/dashboards/17481/revisions/1/download"},{"rel":"org","href":"/orgs/idustbin"},{"rel":"images","href":"/dashboards/17481/images"},{"rel":"thumbnails","href":"/dashboards/17481/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21351,"status":1,"statusCode":"active","orgId":1151880,"orgSlug":"primexz","orgName":"primexz","slug":"bitcoind-exporter","downloads":305,"revisionId":33243,"revision":3,"name":"Bitcoind Exporter","description":"","readme":"The official Grafana dashboard for https://github.com/Primexz/bitcoind-exporter","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-17T22:42:12.000Z","updatedAt":"2024-06-18T21:38:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21351"},{"rel":"revisions","href":"/dashboards/21351/revisions"},{"rel":"revision","href":"/dashboards/21351/revisions/3"},{"rel":"download","href":"/dashboards/21351/revisions/3/download"},{"rel":"org","href":"/orgs/primexz"},{"rel":"images","href":"/dashboards/21351/images"},{"rel":"thumbnails","href":"/dashboards/21351/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4883,"status":1,"statusCode":"active","orgId":125252,"orgSlug":"smoke","orgName":"smoke","slug":"bitfan","downloads":430,"revisionId":6491,"revision":1,"name":"Bitfan","description":"Common Bitfan metrics","readme":"Some dashboards for Bitfan v0.55 (http://bitfan.io/) data processing software system.\r\nGo panels were taken from Go Processes dashboard (https://grafana.com/dashboards/240)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-02-26T10:16:23.000Z","updatedAt":"2018-02-26T10:27:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4883"},{"rel":"revisions","href":"/dashboards/4883/revisions"},{"rel":"revision","href":"/dashboards/4883/revisions/1"},{"rel":"download","href":"/dashboards/4883/revisions/1/download"},{"rel":"org","href":"/orgs/smoke"},{"rel":"images","href":"/dashboards/4883/images"},{"rel":"thumbnails","href":"/dashboards/4883/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11320,"status":1,"statusCode":"active","orgId":311115,"orgSlug":"bhozar","orgName":"bhozar","slug":"bitvise-sftp-logs","downloads":613,"revisionId":37579,"revision":4,"name":"Bitvise SFTP Logs","description":"Bitvise SFTP dashboard","readme":"# Bitvise SFTP Log Dashboard\nDashboard to visualize Bitvise SFTP Log data from [Bitvise](https://www.bitvise.com/ssh-server)\n\nDashboard is setup to filter based on a host name or by virtual account. The Logstash filter files have been provided on [Github](https://github.com/bhozar/grafana-dashboards/tree/master/bitvisesftplogs/logstash/conf.d), along with Filebeat config.\n\n# Bugs, suggestions and feedback.\nBug reports, suggestions and feedback to [GitHub](https://github.com/bhozar/grafana-dashboards/tree/master/bitvisesftplogs) please!\n\n# Gotchas\n* Some panels formatting expect all accounts to begin with `sftp.` If a panel is all on the Y-axis, remove the formatting.\n* All panels and variables are based on the VirtualUser. Nothing has been setup for the WindowsUser. If you use Windows accounts for logins you'll need to edit the panels.\n\n# Logstash filter\n```\nfilter {\n  if \"bitvise\" in [tags] {\n    xml {\n      force_array => false\n      source => \"message\"\n      store_xml => true\n      target => \"sftp\"\n      remove_field => [ \"message\" ]\n    }\nmutate {\n        convert => {\"[sftp][parameters][channelBytesReceived]\" => \"integer\"}\n        convert => {\"[sftp][parameters][channelBytesSent]\" => \"integer\"}\n        convert => {\"[sftp][parameters][payloadBytesReceived]\" => \"integer\"}\n        convert => {\"[sftp][parameters][payloadBytesSent]\" => \"integer\"}\n        convert => {\"[sftp][parameters][socketBytesReceived]\" => \"integer\"}\n        convert => {\"[sftp][parameters][socketBytesSent]\" => \"integer\"}\n        convert => {\"[sftp][parameters][bytesReceived]\" => \"integer\"}\n        convert => {\"[sftp][parameters][bytesSent]\" => \"integer\"}\n        convert => {\"[sftp][seq]\" => \"integer\"}\n        convert => {\"[sftp][session][id]\" => \"integer\"}\n        convert => {\"[sftp][sessions][ftp]\" => \"integer\"}\n        convert => {\"[sftp][sessions][ftpAuth]\" => \"integer\"}\n        convert => {\"[sftp][sessions][ssh]\" => \"integer\"}\n        convert => {\"[sftp][sessions][sshAut]\" => \"integer\"}\n        convert => {\"[sftp][error][code]\" => \"integer\"}\n        convert => {\"[sftp][sfs][code]\" => \"integer\"}\n        convert => {\"[sftp][sfs][parameters][bytesRead]\" => \"integer\"}\n        convert => {\"[sftp][sfs][parameters][bytesWritten]\" => \"integer\"}\n        convert => {\"[sftp][sfs][parameters][finalSize]\" => \"integer\"}\n        convert => {\"[sftp][sfs][parameters][readRangeLength]\" => \"integer\"}\n        convert => {\"[sftp][sfs][parameters][readRangeOffset]\" => \"integer\"}\n        convert => {\"[sftp][sfs][parameters][startSize]\" => \"integer\"}\n        convert => {\"[sftp][sfs][parameters][timeMs]\" => \"integer\"}\n        convert => {\"[sftp][sfs][parameters][upload]\" => \"integer\"}\n        convert => {\"[sftp][sfs][parameters][writeRangeLength]\" => \"integer\"}\n        convert => {\"[sftp][sfs][parameters][writeRangeOffset]\" => \"integer\"}\n          split => { \"[sftp][session][remoteAddress]\" => \":\"}\n            add_field => { \"remoteIP\" => \"%{[sftp][session][remoteAddress][0]}\"\n          }\n       }\n  geoip {\n    source => \"remoteIP\"\n  }\n  date{\n    match => [\"sftp.time\" , \"yyyy-MM-dd HH:mm:ss.SSS Z\"]\n  }\n  }\n}\n```\n\n# Screenshots\n![Bitvise SFTP Log Dashboard](https://grafana.com/api/dashboards/11320/images/7220/image)\n![Bitvise SFTP Log Dashboard](https://grafana.com/api/dashboards/11320/images/7221/image)","collectorType":"Beats","collectorConfig":"```\nfilebeat.inputs:\n- type: log\n  enabled: true\n  paths:\n    - L:\\Bitvise\\Logs\\*\n\n  tags: [\"bitvise\"]\n\n  exclude_lines: ['<?xml','<log>','<start time','</log>']\n\n  multiline.pattern: '^  <ev'\n\n  multiline.negate: true\n\n  multiline.match: after\n  multiline.flush_pattern: '</event>'\n  multiline.timeout: 15s\n```","collectorPluginList":"Filebeat","datasource":"Elasticsearch","privacy":"public","createdAt":"2019-11-29T17:43:48.000Z","updatedAt":"2025-06-25T14:28:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11320"},{"rel":"revisions","href":"/dashboards/11320/revisions"},{"rel":"revision","href":"/dashboards/11320/revisions/4"},{"rel":"download","href":"/dashboards/11320/revisions/4/download"},{"rel":"org","href":"/orgs/bhozar"},{"rel":"images","href":"/dashboards/11320/images"},{"rel":"thumbnails","href":"/dashboards/11320/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":20938,"status":1,"statusCode":"active","orgId":275130,"orgSlug":"klccomstock","orgName":"klccomstock","slug":"bixi-city-bikes-api-explorer","downloads":368,"revisionId":32513,"revision":1,"name":"Bixi City Bikes API Explorer","description":"Demo of using Infinity Plugin to view bike locations from Montreal's Bixi Bike API ","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Infinity","privacy":"public","createdAt":"2024-04-23T19:41:25.000Z","updatedAt":"2024-04-23T19:42:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20938"},{"rel":"revisions","href":"/dashboards/20938/revisions"},{"rel":"revision","href":"/dashboards/20938/revisions/1"},{"rel":"download","href":"/dashboards/20938/revisions/1/download"},{"rel":"org","href":"/orgs/klccomstock"},{"rel":"images","href":"/dashboards/20938/images"},{"rel":"thumbnails","href":"/dashboards/20938/thumbnails"}],"datasourceSlugs":["yesoreyeram-infinity-datasource"]},{"id":21851,"status":1,"statusCode":"active","orgId":1023429,"orgSlug":"gentlemanx","orgName":"gentlemanx","slug":"photovoltaik-2","downloads":255,"revisionId":34189,"revision":1,"name":"BKWRHM","description":"BKW RHM 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blackbox_exporter\n```\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-10T09:29:39.000Z","updatedAt":"2020-01-17T08:04:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11543"},{"rel":"revisions","href":"/dashboards/11543/revisions"},{"rel":"revision","href":"/dashboards/11543/revisions/2"},{"rel":"download","href":"/dashboards/11543/revisions/2/download"},{"rel":"org","href":"/orgs/wanghy8166"},{"rel":"images","href":"/dashboards/11543/images"},{"rel":"thumbnails","href":"/dashboards/11543/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12653,"status":1,"statusCode":"active","orgId":400661,"orgSlug":"xuwanyan","orgName":"xuwanyan","slug":"blackbox","downloads":437,"revisionId":18192,"revision":1,"name":"blackbox","description":"blackbox1","readme":"1","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-07-15T09:46:02.000Z","updatedAt":"2020-07-15T09:46:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12653"},{"rel":"revisions","href":"/dashboards/12653/revisions"},{"rel":"revision","href":"/dashboards/12653/revisions/1"},{"rel":"download","href":"/dashboards/12653/revisions/1/download"},{"rel":"org","href":"/orgs/xuwanyan"},{"rel":"images","href":"/dashboards/12653/images"},{"rel":"thumbnails","href":"/dashboards/12653/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21539,"status":1,"statusCode":"active","orgId":626646,"orgSlug":"shiftsystems","orgName":"shiftsystems","slug":"blackbox-anomaly-detection","downloads":625,"revisionId":36629,"revision":2,"name":"Blackbox Anomaly Detection","description":"","readme":"Uses VictoriaMetrics Anomaly detection, Telegraf, and VictoriaMetrics to detect anomalies in the response time and dns queries ","collectorType":"Telegraf","collectorConfig":"### Telegraf config\r\n```toml \r\n[[inputs.dns_query]]\r\n  servers = [\"8.8.8.8\"]\r\n  domains = [\"google.com\"]\r\n  record_type = \"A\"\r\n  interval = \"1m\"\r\n  timeout = \"5s\"\r\n  include_fields = [\"all_ips\"]\r\n  tagexclude = [\"rcode\",\"result\"]\r\n[[processors.converter]]\r\n    namepass = [\"dns_query\"]\r\n  [processors.converter.fields]\r\n    tag = [\"ip_*\"][[inputs.http_response]]\r\n  urls = [\"https://google.com\"]\r\n  interval = \"1m\"\r\n  fieldexclude = [\"result_type\"]\r\n  tagexclude = [\"result\",\"status_code\"]\r\n  response_timeout = \"30s\"\r\n  insecure_skip_verify = false\r\n  response_status_code = 200\r\n  method = \"GET\"\r\n  [inputs.http_response.tags]\r\n    check_name = \"Google\"\r\n```\r\n\r\n### VMAnomaly Config\r\n\r\n```yaml\r\nschedulers:\r\n  periodic:\r\n    # class: \"periodic\"\r\n    infer_every: \"1m\"\r\n    fit_every: \"1h\"\r\n    fit_window: \"6h\"\r\n\r\nmodels:\r\n  mad:\r\n    class: \"mad\"\r\n    z_threshold: 3.5\r\n    detection_direction: 'above_expected'\r\n    min_dev_from_expected: 50.0\r\n    queries:\r\n      - 'dns_blackbox'\r\n      - 'http_blackbox'\r\n    schedulers:\r\n      - 'periodic'\r\n\r\nreader:\r\n  datasource_url: \"http://victoriametrics:8428/\"\r\n  sampling_period: \"1m\"\r\n  queries:\r\n   dns_blackbox: 'avg by (server) (dns_query_query_time_ms[5m])'\r\n   http_blackbox: 'avg by (server) (http_response_response_time[5m]) * 1000'\r\nwriter:\r\n  datasource_url: \"http://victoriametrics:8428/\"\r\n\r\nmonitoring:\r\n  pull:\r\n    addr: \"0.0.0.0\"\r\n    port: 8490\r\n\r\n```","collectorPluginList":null,"datasource":"VictoriaMetrics","privacy":"public","createdAt":"2024-07-17T14:47:16.000Z","updatedAt":"2025-03-26T20:30:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21539"},{"rel":"revisions","href":"/dashboards/21539/revisions"},{"rel":"revision","href":"/dashboards/21539/revisions/2"},{"rel":"download","href":"/dashboards/21539/revisions/2/download"},{"rel":"org","href":"/orgs/shiftsystems"},{"rel":"images","href":"/dashboards/21539/images"},{"rel":"thumbnails","href":"/dashboards/21539/thumbnails"}],"datasourceSlugs":["victoriametrics-metrics-datasource"]},{"id":16124,"status":1,"statusCode":"active","orgId":299646,"orgSlug":"adinhodovic","orgName":"adinhodovic","slug":"blackbox-exporter","downloads":18410,"revisionId":40306,"revision":6,"name":"Blackbox Exporter","description":"A dashboard that monitors the Blackbox Exporter. It is created using the [blackbox-exporter-mixin](https://github.com/adinhodovic/blackbox-exporter-mixin) for the [blackbox-exporter](https://github.com/prometheus/blackbox_exporter). The dashboards were generated using [blackbox-exporter-mixin](https://github.com/adinhodovic/blackbox-exporter-mixin). Open issues and create feature requests in the repository.","readme":"A dashboard that monitors the Blackbox-exporter. 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20220412-StarsL.cn","description":"支持Grafana 8，基于blackbox_exporter 0.19.0设计；采用图表+曲线图方式展示TCP，ICMP，HTTPS的服务状态，各阶段请求延时，HTTPS证书信息等；优化展示效果，支持监控目标的分组、分类级联展示，多服务同时对比展示。","readme":"#### **grafana 8.3.6、8.3.7、8.4.7 版本测试正常，如果导入出现异常，请先更新到以上版本grafana。**  \r\n\r\n\r\n#### 该看板请配合Consul Manager使用：\r\n#### [**【ConsulManager介绍】**](https://github.com/starsliao/ConsulManager)\r\n\r\n- #### [应用场景2：如何优雅的使用Consul管理Blackbox站点监控](https://github.com/starsliao/ConsulManager/blob/main/docs/blackbox%E7%AB%99%E7%82%B9%E7%9B%91%E6%8E%A7.md)\r\n\r\n- ##### [应用场景1：如何优雅的基于Consul自动同步ECS主机监控](https://github.com/starsliao/ConsulManager/blob/main/docs/ECS%E4%B8%BB%E6%9C%BA%E7%9B%91%E6%8E%A7.md)\r\n\r\n## Blackbox Manager 实现功能\r\n- 基于Prometheus + Blackbox_Exporter实现站点与接口监控。\r\n- 基于Consul实现Prometheus监控目标的自动发现。\r\n- 使用Web操作即可简单的对监控目标增删改查，支持批量删除，以及方便的分类维护管理。\r\n- 提供了Blackbox的配置，Prometheus的配置以及Prometheus站点监控的告警规则。\r\n- 提供了一个匹配Blackbox Manager各字段的Blackbox Exporter Grafana展示看板。\r\n- 提供脚本可批量导入监控目标到Consul。\r\n\r\n## 截图\r\n![](https://grafana.com/api/dashboards/9965/images/11997/image)\r\n![](https://grafana.com/api/dashboards/9965/images/11993/image)\r\n![](https://grafana.com/api/dashboards/9965/images/11994/image)\r\n![](https://grafana.com/api/dashboards/9965/images/11995/image)\r\n![](https://grafana.com/api/dashboards/9965/images/11996/image)\r\n### 赞赏与关注公众号【云原生DevOps】加入运维群交流，获取更多...\r\n![](https://starsl.cn/static/img/thanks.png)\r\n### GitHub：[https://github.com/starsliao/ConsulManager](https://github.com/starsliao/ConsulManager)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-03-25T05:11:17.000Z","updatedAt":"2023-07-07T07:43:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":7,"reviewsAvgRating":3.71,"links":[{"rel":"self","href":"/dashboards/9965"},{"rel":"revisions","href":"/dashboards/9965/revisions"},{"rel":"revision","href":"/dashboards/9965/revisions/3"},{"rel":"download","href":"/dashboards/9965/revisions/3/download"},{"rel":"org","href":"/orgs/starsliao"},{"rel":"images","href":"/dashboards/9965/images"},{"rel":"thumbnails","href":"/dashboards/9965/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14792,"status":1,"statusCode":"active","orgId":312323,"orgSlug":"guaiguaile","orgName":"guaiguaile","slug":"blackbox-exporter-for-prometheus","downloads":850,"revisionId":22000,"revision":1,"name":"Blackbox Exporter 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30s\r\n        metrics_path: /probe\r\n        params:\r\n          module: [http_2xx]\r\n        static_configs:\r\n        - targets:\r\n          - https://api.xxx.com/promotion/framework/ping\r\n          labels:\r\n            type: monitor\r\n            name: elnk-promotion\r\n            env: test\r\n        - targets:\r\n          - https://api.xxx.com/bi/framework/ping\r\n          labels:\r\n            type: monitor\r\n            name: elnk-bi\r\n            env: test\r\n        relabel_configs:\r\n        - source_labels: [__address__]\r\n          target_label: __param_target\r\n        - source_labels: [__param_target]\r\n          target_label: instance\r\n        - target_label: __address__\r\n          replacement: blackbox-exporter:9115","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-02-20T09:09:29.000Z","updatedAt":"2025-11-27T10:48:06.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22897"},{"rel":"revisions","href":"/dashboards/22897/revisions"},{"rel":"revision","href":"/dashboards/22897/revisions/1"},{"rel":"download","href":"/dashboards/22897/revisions/1/download"},{"rel":"org","href":"/orgs/henriy"},{"rel":"images","href":"/dashboards/22897/images"},{"rel":"thumbnails","href":"/dashboards/22897/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16292,"status":1,"statusCode":"active","orgId":648803,"orgSlug":"noise131","orgName":"noise131","slug":"blackbox-exporter-http-dashboards-chinese","downloads":1337,"revisionId":25545,"revision":10,"name":"blackbox_exporter-http-Dashboards-chinese","description":"黑盒 http 监控面板","readme":"# blackbox_exporter 黑盒 http 探针监控面板\n\n## 选择器说明\n\n- project : 对应 target 的 project 标签\n\n- app : 对应 target 的 app 标签\n\n\n## v2 更新概要\n\n- 新增 `证书剩余不足 30 天实例` 单独列出表格\n\n- 增加 `非 https 协议` 的实例单元格配色\n\n- 修复 `Fail` 在没有失败主机时显示 `No data` 问题\n\n- 修复 `失败实例` 和 `实力状态占比` 受时间范围影响数据不准确问题\n\n- 增加 `响应码变化记录` 图表，可对过去时间的响应码变化进行查看\n\n## v3 更新概要\n\n- 支持 `http`、`https`、`tcp` 检测生成表格\n\n- 新增 `TLS 版本` 显示\n\n- `响应时间图表` 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Useful to keep track of conditions in your brew house.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-12-17T17:11:03.000Z","updatedAt":"2018-12-17T17:18:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9545"},{"rel":"revisions","href":"/dashboards/9545/revisions"},{"rel":"revision","href":"/dashboards/9545/revisions/1"},{"rel":"download","href":"/dashboards/9545/revisions/1/download"},{"rel":"org","href":"/orgs/brewbench"},{"rel":"images","href":"/dashboards/9545/images"},{"rel":"thumbnails","href":"/dashboards/9545/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":3957,"status":1,"statusCode":"active","orgId":95277,"orgSlug":"brewbench","orgName":"Andrew Van Tassel","slug":"brewing-fermentation","downloads":778,"revisionId":12297,"revision":6,"name":"Brewing Fermentation","description":"BrewBench air and fermentation temps dashboard","readme":"The dashboard shows the current air and fermentation temperature from [BrewBench](https://www.brewbench.co) monitor.  For brewing fermentation temps.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-12-09T03:04:33.000Z","updatedAt":"2018-11-11T01:51:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3957"},{"rel":"revisions","href":"/dashboards/3957/revisions"},{"rel":"revision","href":"/dashboards/3957/revisions/6"},{"rel":"download","href":"/dashboards/3957/revisions/6/download"},{"rel":"org","href":"/orgs/brewbench"},{"rel":"images","href":"/dashboards/3957/images"},{"rel":"thumbnails","href":"/dashboards/3957/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":3960,"status":1,"statusCode":"active","orgId":95277,"orgSlug":"brewbench","orgName":"Andrew Van Tassel","slug":"brewing-session","downloads":671,"revisionId":12300,"revision":5,"name":"Brewing Session","description":"BrewBench hot liquor, mash and boil temps dashboard","readme":"The dashboard shows the current hot liquor, mash and boil temps for a brew session from [BrewBench](https://www.brewbench.co) monitor. ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-12-09T03:55:11.000Z","updatedAt":"2018-11-11T01:52:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3960"},{"rel":"revisions","href":"/dashboards/3960/revisions"},{"rel":"revision","href":"/dashboards/3960/revisions/5"},{"rel":"download","href":"/dashboards/3960/revisions/5/download"},{"rel":"org","href":"/orgs/brewbench"},{"rel":"images","href":"/dashboards/3960/images"},{"rel":"thumbnails","href":"/dashboards/3960/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":7800,"status":1,"statusCode":"active","orgId":170834,"orgSlug":"slok","orgName":"Xabier Larrakoetxea","slug":"brigade","downloads":543,"revisionId":10620,"revision":1,"name":"Brigade","description":"A brigade dashbaord for brigade-exporter","readme":"Brigade dashboard for the [brigade exporter].\r\n\r\n**At least brigade exporter v0.1.0 is required**\r\n\r\n[brigade exporter]: https://github.com/slok/brigade-exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-09-03T15:24:59.000Z","updatedAt":"2018-09-03T15:28:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7800"},{"rel":"revisions","href":"/dashboards/7800/revisions"},{"rel":"revision","href":"/dashboards/7800/revisions/1"},{"rel":"download","href":"/dashboards/7800/revisions/1/download"},{"rel":"org","href":"/orgs/slok"},{"rel":"images","href":"/dashboards/7800/images"},{"rel":"thumbnails","href":"/dashboards/7800/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11103,"status":1,"statusCode":"active","orgId":309335,"orgSlug":"bpadmin","orgName":"BrightPattern","slug":"agents","downloads":372,"revisionId":15514,"revision":1,"name":"BrightPattern - Agents","description":"Logged in agents and supervisors.","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-11-05T22:15:55.000Z","updatedAt":"2020-05-07T00:09:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11103"},{"rel":"revisions","href":"/dashboards/11103/revisions"},{"rel":"revision","href":"/dashboards/11103/revisions/1"},{"rel":"download","href":"/dashboards/11103/revisions/1/download"},{"rel":"org","href":"/orgs/bpadmin"},{"rel":"images","href":"/dashboards/11103/images"},{"rel":"thumbnails","href":"/dashboards/11103/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11105,"status":1,"statusCode":"active","orgId":309335,"orgSlug":"bpadmin","orgName":"BrightPattern","slug":"cpu-memory","downloads":557,"revisionId":15516,"revision":1,"name":"BrightPattern - CPU, Memory","description":"CPU, Memory of Java and C++ processes.","readme":"","collectorType":"Telegraf","collectorConfig":"```\n# Activity Server\n[[inputs.procstat]]\n    exe = \"activityserver\"\n\n# Agent Server\n[[inputs.procstat]]\n    exe = \"agentserver\"\n\n# Agent Web Server\n[[inputs.procstat]]\n    pid_file = \"/var/run/servicepattern/webagentdesktop.pid\"\n\n# Aggregator\n[[inputs.procstat]]\n    pid_file = \"/var/run/servicepattern/aggregator.pid\"\n\n# CRM Server\n[[inputs.procstat]]\n    pid_file = \"/var/run/servicepattern/crmserver.pid\"\n\n# Client Web Server\n[[inputs.procstat]]\n    pid_file = \"/var/run/servicepattern/clientweb.pid\"\n\n# Config Server\n[[inputs.procstat]]\n    pid_file = \"/var/run/servicepattern/configserver.pid\"\n\n# DB Access Server\n[[inputs.procstat]]\n    pid_file = \"/var/run/servicepattern/dbserver.pid\"\n\n# Dialer\n[[inputs.procstat]]\n    exe = \"dialer\"\n\n# Email Server\n[[inputs.procstat]]\n    pid_file = \"/var/run/servicepattern/emailserver.pid\"\n\n# Portal Web Server\n[[inputs.procstat]]\n    pid_file = \"/var/run/servicepattern/webportal.pid\"\n\n# Provisioning Server\n#[[inputs.procstat]]\n#    exe = \"ppserver\"\n\n# RTP Processor\n[[inputs.procstat]]\n    exe = \"rtpprocessor\"\n\n# Real-Time Data Provider\n[[inputs.procstat]]\n    exe = \"rtdataprovider\"\n\n# Router\n[[inputs.procstat]]\n    exe = \"router\"\n\n# SIP Processor\n[[inputs.procstat]]\n    exe = \"sipprocessor\"\n\n# SMS Server\n[[inputs.procstat]]\n    exe = \"smsserver\"\n\n# Scenario Engine\n[[inputs.procstat]]\n    exe = \"scenarioengine\"\n\n# Scheduler\n[[inputs.procstat]]\n    pid_file = \"/var/run/servicepattern/scheduler.pid\"\n\n# Screen Recorder\n[[inputs.procstat]]\n    exe = \"screenrecorder\"\n\n# Stat Server\n[[inputs.procstat]]\n    exe = \"statserver\"\n\n# SNMP SA\n[[inputs.procstat]]\n    exe = \"snmp_sa\"\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-11-05T22:23:50.000Z","updatedAt":"2020-05-07T02:15:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11105"},{"rel":"revisions","href":"/dashboards/11105/revisions"},{"rel":"revision","href":"/dashboards/11105/revisions/1"},{"rel":"download","href":"/dashboards/11105/revisions/1/download"},{"rel":"org","href":"/orgs/bpadmin"},{"rel":"images","href":"/dashboards/11105/images"},{"rel":"thumbnails","href":"/dashboards/11105/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11106,"status":1,"statusCode":"active","orgId":309335,"orgSlug":"bpadmin","orgName":"BrightPattern","slug":"dialer","downloads":335,"revisionId":15517,"revision":1,"name":"BrightPattern - Dialer","description":"Active calls, call rate, call attempts and results.","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-11-05T22:25:51.000Z","updatedAt":"2020-05-07T00:08:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11106"},{"rel":"revisions","href":"/dashboards/11106/revisions"},{"rel":"revision","href":"/dashboards/11106/revisions/1"},{"rel":"download","href":"/dashboards/11106/revisions/1/download"},{"rel":"org","href":"/orgs/bpadmin"},{"rel":"images","href":"/dashboards/11106/images"},{"rel":"thumbnails","href":"/dashboards/11106/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11107,"status":1,"statusCode":"active","orgId":309335,"orgSlug":"bpadmin","orgName":"BrightPattern","slug":"emails","downloads":358,"revisionId":15518,"revision":1,"name":"BrightPattern - Emails","description":"Email server send/receive stats.","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-11-05T22:29:34.000Z","updatedAt":"2020-05-07T00:08:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11107"},{"rel":"revisions","href":"/dashboards/11107/revisions"},{"rel":"revision","href":"/dashboards/11107/revisions/1"},{"rel":"download","href":"/dashboards/11107/revisions/1/download"},{"rel":"org","href":"/orgs/bpadmin"},{"rel":"images","href":"/dashboards/11107/images"},{"rel":"thumbnails","href":"/dashboards/11107/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12490,"status":1,"statusCode":"active","orgId":309335,"orgSlug":"bpadmin","orgName":"BrightPattern","slug":"jvm-monitoring","downloads":439,"revisionId":17917,"revision":1,"name":"BrightPattern - JVM Monitoring","description":"Memory, garbage collection statistics on the JVM","readme":"","collectorType":"Telegraf","collectorConfig":"# WebPortal\n/etc/telegraf/telegraf.d/jolokia-webportal.conf\n```\n[[inputs.jolokia2_agent]]\n  urls = [\"http://localhost:45119/jolokia\"]\n  [inputs.jolokia2_agent.tags]\n    programname = \"webportal\"\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_runtime\"\n        mbean = \"java.lang:type=Runtime\"\n        paths = [\"Uptime\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_cpu\"\n        mbean = \"java.lang:type=OperatingSystem\"\n        paths = [\"ProcessCpuLoad\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_memory\"\n        mbean = \"java.lang:type=Memory\"\n        paths = [\"HeapMemoryUsage\", \"NonHeapMemoryUsage\", \"ObjectPendingFinalizationCount\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_garbage_collector\"\n        mbean = \"java.lang:name=*,type=GarbageCollector\"\n        paths = [\"CollectionTime\", \"CollectionCount\"]\n        tag_keys = [\"name\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_last_garbage_collection\"\n        mbean = \"java.lang:name=G1 Young Generation,type=GarbageCollector\"\n        paths = [\"LastGcInfo/duration\", \"LastGcInfo/GcThreadCount\", \"LastGcInfo/memoryUsageAfterGc\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_threading\"\n        mbean = \"java.lang:type=Threading\"\n        paths = [\"TotalStartedThreadCount\", \"ThreadCount\", \"DaemonThreadCount\", \"PeakThreadCount\"]\n\n[[inputs.jolokia2_agent.metric]]\n       name  = \"java_class_loading\"\n       mbean = \"java.lang:type=ClassLoading\"\n       paths = [\"LoadedClassCount\", \"UnloadedClassCount\", \"TotalLoadedClassCount\"]\n\n[[inputs.jolokia2_agent.metric]]\n       name     = \"java_memory_pool\"\n       mbean    = \"java.lang:name=*,type=MemoryPool\"\n       paths    = [\"Usage\", \"PeakUsage\", \"CollectionUsage\"]\n       tag_keys = [\"name\"]\n\n[[inputs.jolokia2_agent.metric]]\n       name     = \"java_nio_bufers\"\n       mbean    = \"java.nio:type=BufferPool,name=*\"\n       paths    = [\"Count\", \"MemoryUsed\", \"TotalCapacity\"]\n       tag_keys = [\"name\"]\n```\n\n# Web Agent Desktop\n/etc/telegraf/telegraf.d/jolokia-webagentdesktop.conf\n```\n[[inputs.jolokia2_agent]]\n  urls = [\"http://localhost:45029/jolokia\"]\n  [inputs.jolokia2_agent.tags]\n    programname = \"webagentdesktop\"\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_runtime\"\n        mbean = \"java.lang:type=Runtime\"\n        paths = [\"Uptime\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_cpu\"\n        mbean = \"java.lang:type=OperatingSystem\"\n        paths = [\"ProcessCpuLoad\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_memory\"\n        mbean = \"java.lang:type=Memory\"\n        paths = [\"HeapMemoryUsage\", \"NonHeapMemoryUsage\", \"ObjectPendingFinalizationCount\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_garbage_collector\"\n        mbean = \"java.lang:name=*,type=GarbageCollector\"\n        paths = [\"CollectionTime\", \"CollectionCount\"]\n        tag_keys = [\"name\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_last_garbage_collection\"\n        mbean = \"java.lang:name=G1 Young Generation,type=GarbageCollector\"\n        paths = [\"LastGcInfo/duration\", \"LastGcInfo/GcThreadCount\", \"LastGcInfo/memoryUsageAfterGc\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_threading\"\n        mbean = \"java.lang:type=Threading\"\n        paths = [\"TotalStartedThreadCount\", \"ThreadCount\", \"DaemonThreadCount\", \"PeakThreadCount\"]\n\n[[inputs.jolokia2_agent.metric]]\n       name  = \"java_class_loading\"\n       mbean = \"java.lang:type=ClassLoading\"\n       paths = [\"LoadedClassCount\", \"UnloadedClassCount\", \"TotalLoadedClassCount\"]\n\n[[inputs.jolokia2_agent.metric]]\n       name     = \"java_memory_pool\"\n       mbean    = \"java.lang:name=*,type=MemoryPool\"\n       paths    = [\"Usage\", \"PeakUsage\", \"CollectionUsage\"]\n       tag_keys = [\"name\"]\n\n[[inputs.jolokia2_agent.metric]]\n       name     = \"java_nio_bufers\"\n       mbean    = \"java.nio:type=BufferPool,name=*\"\n       paths    = [\"Count\", \"MemoryUsed\", \"TotalCapacity\"]\n       tag_keys = [\"name\"]\n```\n\n\n# Scheduler\n/etc/telegraf/telegraf.d/jolokia-scheduler.conf\n```\n[[inputs.jolokia2_agent]]\n  urls = [\"http://localhost:45199/jolokia\"]\n  [inputs.jolokia2_agent.tags]\n    programname = \"scheduler\"\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_runtime\"\n        mbean = \"java.lang:type=Runtime\"\n        paths = [\"Uptime\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_cpu\"\n        mbean = \"java.lang:type=OperatingSystem\"\n        paths = [\"ProcessCpuLoad\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_memory\"\n        mbean = \"java.lang:type=Memory\"\n        paths = [\"HeapMemoryUsage\", \"NonHeapMemoryUsage\", \"ObjectPendingFinalizationCount\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_garbage_collector\"\n        mbean = \"java.lang:name=*,type=GarbageCollector\"\n        paths = [\"CollectionTime\", \"CollectionCount\"]\n        tag_keys = [\"name\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_last_garbage_collection\"\n        mbean = \"java.lang:name=G1 Young Generation,type=GarbageCollector\"\n        paths = [\"LastGcInfo/duration\", \"LastGcInfo/GcThreadCount\", \"LastGcInfo/memoryUsageAfterGc\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_threading\"\n        mbean = \"java.lang:type=Threading\"\n        paths = [\"TotalStartedThreadCount\", \"ThreadCount\", \"DaemonThreadCount\", \"PeakThreadCount\"]\n\n[[inputs.jolokia2_agent.metric]]\n       name  = \"java_class_loading\"\n       mbean = \"java.lang:type=ClassLoading\"\n       paths = [\"LoadedClassCount\", \"UnloadedClassCount\", \"TotalLoadedClassCount\"]\n\n[[inputs.jolokia2_agent.metric]]\n       name     = \"java_memory_pool\"\n       mbean    = \"java.lang:name=*,type=MemoryPool\"\n       paths    = [\"Usage\", \"PeakUsage\", \"CollectionUsage\"]\n       tag_keys = [\"name\"]\n\n[[inputs.jolokia2_agent.metric]]\n       name     = \"java_nio_bufers\"\n       mbean    = \"java.nio:type=BufferPool,name=*\"\n       paths    = [\"Count\", \"MemoryUsed\", \"TotalCapacity\"]\n       tag_keys = [\"name\"]\n```\n\n\n# Email Server\n/etc/telegraf/telegraf.d/jolokia-emailserver.conf\n```\n[[inputs.jolokia2_agent]]\n  urls = [\"http://localhost:45159/jolokia\"]\n  [inputs.jolokia2_agent.tags]\n    programname = \"emailserver\"\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_runtime\"\n        mbean = \"java.lang:type=Runtime\"\n        paths = [\"Uptime\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_cpu\"\n        mbean = \"java.lang:type=OperatingSystem\"\n        paths = [\"ProcessCpuLoad\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_memory\"\n        mbean = \"java.lang:type=Memory\"\n        paths = [\"HeapMemoryUsage\", \"NonHeapMemoryUsage\", \"ObjectPendingFinalizationCount\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_garbage_collector\"\n        mbean = \"java.lang:name=*,type=GarbageCollector\"\n        paths = [\"CollectionTime\", \"CollectionCount\"]\n        tag_keys = [\"name\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_last_garbage_collection\"\n        mbean = \"java.lang:name=G1 Young Generation,type=GarbageCollector\"\n        paths = [\"LastGcInfo/duration\", \"LastGcInfo/GcThreadCount\", \"LastGcInfo/memoryUsageAfterGc\"]\n\n[[inputs.jolokia2_agent.metric]]\n        name  = \"java_threading\"\n        mbean = \"java.lang:type=Threading\"\n        paths = [\"TotalStartedThreadCount\", \"ThreadCount\", \"DaemonThreadCount\", \"PeakThreadCount\"]\n\n[[inputs.jolokia2_agent.metric]]\n       name  = \"java_class_loading\"\n       mbean = \"java.lang:type=ClassLoading\"\n       paths = [\"LoadedClassCount\", \"UnloadedClassCount\", \"TotalLoadedClassCount\"]\n\n[[inputs.jolokia2_agent.metric]]\n       name     = \"java_memory_pool\"\n       mbean    = \"java.lang:name=*,type=MemoryPool\"\n       paths    = [\"Usage\", \"PeakUsage\", \"CollectionUsage\"]\n       tag_keys = [\"name\"]\n\n[[inputs.jolokia2_agent.metric]]\n       name     = \"java_nio_bufers\"\n       mbean    = \"java.nio:type=BufferPool,name=*\"\n       paths    = [\"Count\", \"MemoryUsed\", \"TotalCapacity\"]\n       tag_keys = [\"name\"]\n```\n","collectorPluginList":"jolokia","datasource":"InfluxDB","privacy":"public","createdAt":"2020-06-17T18:53:20.000Z","updatedAt":"2020-07-04T18:38:55.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12490"},{"rel":"revisions","href":"/dashboards/12490/revisions"},{"rel":"revision","href":"/dashboards/12490/revisions/1"},{"rel":"download","href":"/dashboards/12490/revisions/1/download"},{"rel":"org","href":"/orgs/bpadmin"},{"rel":"images","href":"/dashboards/12490/images"},{"rel":"thumbnails","href":"/dashboards/12490/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11108,"status":1,"statusCode":"active","orgId":309335,"orgSlug":"bpadmin","orgName":"BrightPattern","slug":"mongodb","downloads":469,"revisionId":15519,"revision":1,"name":"BrightPattern - MongoDB","description":"Dashboard for MongoDB server statistics metrics collected by Telegraf agent.","readme":"","collectorType":"Telegraf","collectorConfig":"# Arbiter\n```\n[[inputs.procstat]]\n    exe = \"mongod\"\n\n[[inputs.mongodb]]\n    servers = [\"mongodb://127.0.0.1:27017\"]\n```\n\n# Master/Slave\n```\n[[inputs.procstat]]\n    exe = \"mongod\"\n\n[[inputs.mongodb]]\n    servers = [\"mongodb://mongo_user:mongo_pass@127.0.0.1:27017\"]\n    col_stats_dbs = [\"sp_db_name\"]\n```\n","collectorPluginList":"mongodb","datasource":"InfluxDB","privacy":"public","createdAt":"2019-11-05T22:31:34.000Z","updatedAt":"2020-05-07T02:21:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11108"},{"rel":"revisions","href":"/dashboards/11108/revisions"},{"rel":"revision","href":"/dashboards/11108/revisions/1"},{"rel":"download","href":"/dashboards/11108/revisions/1/download"},{"rel":"org","href":"/orgs/bpadmin"},{"rel":"images","href":"/dashboards/11108/images"},{"rel":"thumbnails","href":"/dashboards/11108/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11109,"status":1,"statusCode":"active","orgId":309335,"orgSlug":"bpadmin","orgName":"BrightPattern","slug":"mysql","downloads":522,"revisionId":15520,"revision":1,"name":"BrightPattern - MySQL","description":"Database network, query, opened files.","readme":"","collectorType":"Telegraf","collectorConfig":"```\n[[inputs.procstat]]\n    exe = \"mysqld\"\n\n[[inputs.mysql]]\n    servers = [\"mysql_user:mysql_pass@tcp(hostname:3306)/?tls=false\"]\n    table_schema_databases = []\n    gather_slave_status = true\n```","collectorPluginList":"mysql","datasource":"InfluxDB","privacy":"public","createdAt":"2019-11-05T22:31:59.000Z","updatedAt":"2020-05-07T02:23:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11109"},{"rel":"revisions","href":"/dashboards/11109/revisions"},{"rel":"revision","href":"/dashboards/11109/revisions/1"},{"rel":"download","href":"/dashboards/11109/revisions/1/download"},{"rel":"org","href":"/orgs/bpadmin"},{"rel":"images","href":"/dashboards/11109/images"},{"rel":"thumbnails","href":"/dashboards/11109/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11110,"status":1,"statusCode":"active","orgId":309335,"orgSlug":"bpadmin","orgName":"BrightPattern","slug":"overview","downloads":487,"revisionId":15521,"revision":1,"name":"BrightPattern - Overview","description":"General cluster stats and information for emails, chats, SIP calls, agents, RTP network traffic, active 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Please recheck the queries, the initial version is not tested in production yet. 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application which exports Apache Cassandra® metrics throught a prometheus friendly endpoint. This project is originally a fork of JMX exporter but aims at an easier integration with Apache Cassandra®.\r\n\r\nSpecifically, this project brings :\r\n* Exporting EstimatedHistogram metrics specific to Apache Cassandra®\r\n* Filtering on mbean's attributes\r\n* Metrics naming that respect the mbean hierarchy\r\n* Comprehensive config file\r\n\r\nAn essential design choice the project makes is to not let prometheus drive the scraping frequency. This decision has been taken because a lot of Apache Cassandra® metrics are expensive to scrap and can hinder the performance of the node. As we don't want this kind of situation to happen in production, the scrape frequency is restricted via the configuration of Cassandra Exporter. \r\n\r\nThis Dashboard version is made for Cassandra running on top of Kubernetes. You can have a look at [MySocialApp helm chart](https://github.com/MySocialApp/kubernetes-helm-chart-cassandra) to get a Cassandra managed by Kubernetes and get this dashboard running quickly.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-05-25T14:35:07.000Z","updatedAt":"2018-06-14T12:10:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6258"},{"rel":"revisions","href":"/dashboards/6258/revisions"},{"rel":"revision","href":"/dashboards/6258/revisions/3"},{"rel":"download","href":"/dashboards/6258/revisions/3/download"},{"rel":"org","href":"/orgs/deimosfr"},{"rel":"images","href":"/dashboards/6258/images"},{"rel":"thumbnails","href":"/dashboards/6258/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5408,"status":1,"statusCode":"active","orgId":114452,"orgSlug":"oleg1628","orgName":"Oleg Glushak","slug":"cassandra","downloads":6711,"revisionId":7328,"revision":3,"name":"Cassandra","description":"Monitoring Cassandra with Prometheus using JXM exporter","readme":"Cassandra dashboard for Prometheus JXM exporter\r\n\r\nhttps://github.com/prometheus/jmx_exporter\r\nJXM exporter configuration:\r\n```\r\nlowercaseOutputName: true\r\nlowercaseOutputLabelNames: true\r\nwhitelistObjectNames: [\r\n\"org.apache.cassandra.metrics:type=ColumnFamily,name=RangeLatency,*\",\r\n\"org.apache.cassandra.metrics:type=ColumnFamily,name=LiveSSTableCount,*\",\r\n\"org.apache.cassandra.metrics:type=ColumnFamily,name=SSTablesPerReadHistogram,*\",\r\n\"org.apache.cassandra.metrics:type=ColumnFamily,name=SpeculativeRetries,*\",\r\n\"org.apache.cassandra.metrics:type=ColumnFamily,name=MemtableOnHeapSize,*\",\r\n\"org.apache.cassandra.metrics:type=ColumnFamily,name=MemtableSwitchCount,*\",\r\n\"org.apache.cassandra.metrics:type=ColumnFamily,name=MemtableLiveDataSize,*\",\r\n\"org.apache.cassandra.metrics:type=ColumnFamily,name=MemtableColumnsCount,*\",\r\n\"org.apache.cassandra.metrics:type=ColumnFamily,name=MemtableOffHeapSize,*\",\r\n\"org.apache.cassandra.metrics:type=ColumnFamily,name=BloomFilterFalsePositives,*\",\r\n\"org.apache.cassandra.metrics:type=ColumnFamily,name=BloomFilterFalseRatio,*\",\r\n\"org.apache.cassandra.metrics:type=ColumnFamily,name=BloomFilterDiskSpaceUsed,*\",\r\n\"org.apache.cassandra.metrics:type=ColumnFamily,name=BloomFilterOffHeapMemoryUsed,*\",\r\n\"org.apache.cassandra.metrics:type=ColumnFamily,name=SnapshotsSize,*\",\r\n\"org.apache.cassandra.metrics:type=ColumnFamily,name=TotalDiskSpaceUsed,*\",\r\n\"org.apache.cassandra.metrics:type=CQL,name=RegularStatementsExecuted,*\",\r\n\"org.apache.cassandra.metrics:type=CQL,name=PreparedStatementsExecuted,*\",\r\n\"org.apache.cassandra.metrics:type=Compaction,name=PendingTasks,*\",\r\n\"org.apache.cassandra.metrics:type=Compaction,name=CompletedTasks,*\",\r\n\"org.apache.cassandra.metrics:type=Compaction,name=BytesCompacted,*\",\r\n\"org.apache.cassandra.metrics:type=Compaction,name=TotalCompactionsCompleted,*\",\r\n\"org.apache.cassandra.metrics:type=ClientRequest,name=Latency,*\",\r\n\"org.apache.cassandra.metrics:type=ClientRequest,name=Unavailables,*\",\r\n\"org.apache.cassandra.metrics:type=ClientRequest,name=Timeouts,*\",\r\n\"org.apache.cassandra.metrics:type=Storage,name=Exceptions,*\",\r\n\"org.apache.cassandra.metrics:type=Storage,name=TotalHints,*\",\r\n\"org.apache.cassandra.metrics:type=Storage,name=TotalHintsInProgress,*\",\r\n\"org.apache.cassandra.metrics:type=Storage,name=Load,*\",\r\n\"org.apache.cassandra.metrics:type=Connection,name=TotalTimeouts,*\",\r\n\"org.apache.cassandra.metrics:type=ThreadPools,name=CompletedTasks,*\",\r\n\"org.apache.cassandra.metrics:type=ThreadPools,name=PendingTasks,*\",\r\n\"org.apache.cassandra.metrics:type=ThreadPools,name=ActiveTasks,*\",\r\n\"org.apache.cassandra.metrics:type=ThreadPools,name=TotalBlockedTasks,*\",\r\n\"org.apache.cassandra.metrics:type=ThreadPools,name=CurrentlyBlockedTasks,*\",\r\n\"org.apache.cassandra.metrics:type=DroppedMessage,name=Dropped,*\",\r\n\"org.apache.cassandra.metrics:type=Cache,scope=KeyCache,name=HitRate,*\",\r\n\"org.apache.cassandra.metrics:type=Cache,scope=KeyCache,name=Hits,*\",\r\n\"org.apache.cassandra.metrics:type=Cache,scope=KeyCache,name=Requests,*\",\r\n\"org.apache.cassandra.metrics:type=Cache,scope=KeyCache,name=Entries,*\",\r\n\"org.apache.cassandra.metrics:type=Cache,scope=KeyCache,name=Size,*\",\r\n#\"org.apache.cassandra.metrics:type=Streaming,name=TotalIncomingBytes,*\",\r\n#\"org.apache.cassandra.metrics:type=Streaming,name=TotalOutgoingBytes,*\",\r\n\"org.apache.cassandra.metrics:type=Client,name=connectedNativeClients,*\",\r\n\"org.apache.cassandra.metrics:type=Client,name=connectedThriftClients,*\",\r\n\"org.apache.cassandra.metrics:type=Table,name=WriteLatency,*\",\r\n\"org.apache.cassandra.metrics:type=Table,name=ReadLatency,*\",\r\n\"org.apache.cassandra.net:type=FailureDetector,*\",\r\n]\r\n#blacklistObjectNames: [\"org.apache.cassandra.metrics:type=ColumnFamily,*\"]\r\nrules:\r\n  - pattern: org.apache.cassandra.metrics<type=(Connection|Streaming), scope=(\\S*), name=(\\S*)><>(Count|Value)\r\n    name: cassandra_$1_$3\r\n    labels:\r\n      address: \"$2\"\r\n  - pattern: org.apache.cassandra.metrics<type=(ColumnFamily), name=(RangeLatency)><>(Mean)\r\n    name: cassandra_$1_$2_$3\r\n  - pattern: org.apache.cassandra.net<type=(FailureDetector)><>(DownEndpointCount)\r\n    name: cassandra_$1_$2\r\n  - pattern: org.apache.cassandra.metrics<type=(Keyspace), keyspace=(\\S*), name=(\\S*)><>(Count|Mean|95thPercentile)\r\n    name: cassandra_$1_$3_$4\r\n    labels:\r\n      \"$1\": \"$2\"\r\n  - pattern: org.apache.cassandra.metrics<type=(Table), keyspace=(\\S*), scope=(\\S*), name=(\\S*)><>(Count|Mean|95thPercentile)\r\n    name: cassandra_$1_$4_$5\r\n    labels:\r\n      \"keyspace\": \"$2\"\r\n      \"table\": \"$3\"\r\n  - pattern: org.apache.cassandra.metrics<type=(ClientRequest), scope=(\\S*), name=(\\S*)><>(Count|Mean|95thPercentile)\r\n    name: cassandra_$1_$3_$4\r\n    labels:\r\n      \"type\": \"$2\"\r\n  - pattern: org.apache.cassandra.metrics<type=(\\S*)(?:, ((?!scope)\\S*)=(\\S*))?(?:, scope=(\\S*))?,\r\n      name=(\\S*)><>(Count|Value)\r\n    name: cassandra_$1_$5\r\n    labels:\r\n      \"$1\": \"$4\"\r\n      \"$2\": \"$3\"\r\n```\r\nJMX exporter configuration can also be found here: https://github.com/oleg-glushak/cassandra-prometheus-jmx\r\n\r\nTested on:\r\n- Prometheus v2.2\r\n- Grafana v5.0\r\n- JMX exporter v0.3.0\r\n- Cassandra v3.11","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-04-03T16:04:57.000Z","updatedAt":"2018-04-10T08:37:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/5408"},{"rel":"revisions","href":"/dashboards/5408/revisions"},{"rel":"revision","href":"/dashboards/5408/revisions/3"},{"rel":"download","href":"/dashboards/5408/revisions/3/download"},{"rel":"org","href":"/orgs/oleg1628"},{"rel":"images","href":"/dashboards/5408/images"},{"rel":"thumbnails","href":"/dashboards/5408/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6400,"status":1,"statusCode":"active","orgId":141594,"orgSlug":"deimosfr","orgName":"deimosfr","slug":"cassandra","downloads":6284,"revisionId":8837,"revision":2,"name":"Cassandra","description":"","readme":"[Cassandra exporter](https://github.com/criteo/cassandra_exporter) is a standalone application which exports Apache Cassandra® metrics throught a prometheus friendly endpoint. This project is originally a fork of JMX exporter but aims at an easier integration with Apache Cassandra®.\r\n\r\nSpecifically, this project brings :\r\n* Exporting EstimatedHistogram metrics specific to Apache Cassandra®\r\n* Filtering on mbean's attributes\r\n* Metrics naming that respect the mbean hierarchy\r\n* Comprehensive config file\r\n\r\nAn essential design choice the project makes is to not let prometheus drive the scraping frequency. This decision has been taken because a lot of Apache Cassandra® metrics are expensive to scrap and can hinder the performance of the node. As we don't want this kind of situation to happen in production, the scrape frequency is restricted via the configuration of Cassandra Exporter. ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-06-06T10:53:45.000Z","updatedAt":"2018-06-14T12:09:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/6400"},{"rel":"revisions","href":"/dashboards/6400/revisions"},{"rel":"revision","href":"/dashboards/6400/revisions/2"},{"rel":"download","href":"/dashboards/6400/revisions/2/download"},{"rel":"org","href":"/orgs/deimosfr"},{"rel":"images","href":"/dashboards/6400/images"},{"rel":"thumbnails","href":"/dashboards/6400/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12493,"status":1,"statusCode":"active","orgId":383613,"orgSlug":"opstreedevops","orgName":"opstreedevops","slug":"cassandra","downloads":732,"revisionId":17922,"revision":1,"name":"Cassandra","description":"Monitoring Cassandra with Prometheus and telegraf agent using Jolokia agent.","readme":"# Cassandra Dashboard\r\n\r\nThis Dashboard Monitor Cassandra using Promtheus as Data Source and telegraf as agent using jolokia input plugin.\r\n\r\n# Configuration\r\n```\r\n[[inputs.cassandra]]\r\n    context = \"/jolokia/read\"\r\n    servers = [\":8778\"]\r\n    metrics = [\"/java.lang:type=GarbageCollector,name=ConcurrentMarkSweep/CollectionTime\",\r\n                \"/java.lang:type=GarbageCollector,name=ConcurrentMarkSweep/CollectionCount\",\r\n                \"/java.lang:type=GarbageCollector,name=ParNew/CollectionTime\",\r\n                \"/java.lang:type=GarbageCollector,name=ParNew/CollectionCount\",\r\n                \"/java.lang:type=Memory/HeapMemoryUsage\",\r\n                \"/java.lang:type=Memory/NonHeapMemoryUsage\",\r\n                \"/org.apache.cassandra.metrics:type=Cache,scope=KeyCache,name=Hits\",\r\n                \"/org.apache.cassandra.metrics:type=Cache,scope=KeyCache,name=Requests\",\r\n                \"/org.apache.cassandra.metrics:type=Cache,scope=KeyCache,name=Entries\",\r\n                \"/org.apache.cassandra.metrics:type=Cache,scope=KeyCache,name=Size\",\r\n                \"/org.apache.cassandra.metrics:type=Cache,scope=KeyCache,name=Capacity\",\r\n                \"/org.apache.cassandra.metrics:type=Cache,scope=RowCache,name=Hits\",\r\n                \"/org.apache.cassandra.metrics:type=Cache,scope=RowCache,name=Requests\",\r\n                \"/org.apache.cassandra.metrics:type=Cache,scope=RowCache,name=Entries\",\r\n                \"/org.apache.cassandra.metrics:type=Cache,scope=RowCache,name=Size\",\r\n                \"/org.apache.cassandra.metrics:type=Cache,scope=RowCache,name=Capacity\",\r\n                \"/org.apache.cassandra.metrics:type=Client,name=connectedNativeClients\",\r\n                \"/org.apache.cassandra.metrics:type=ClientRequest,scope=Read,name=TotalLatency\",\r\n                \"/org.apache.cassandra.metrics:type=ClientRequest,scope=Write,name=TotalLatency\",\r\n                \"/org.apache.cassandra.metrics:type=ClientRequest,scope=Read,name=Latency\",\r\n                \"/org.apache.cassandra.metrics:type=ClientRequest,scope=Write,name=Latency\",\r\n                \"/org.apache.cassandra.metrics:type=ClientRequest,scope=Read,name=Timeouts\",\r\n                \"/org.apache.cassandra.metrics:type=ClientRequest,scope=Write,name=Timeouts\",\r\n                \"/org.apache.cassandra.metrics:type=ClientRequest,scope=Read,name=Unavailables\",\r\n                \"/org.apache.cassandra.metrics:type=ClientRequest,scope=Write,name=Unavailables\",\r\n                \"/org.apache.cassandra.metrics:type=ClientRequest,scope=Read,name=Failures\",\r\n                \"/org.apache.cassandra.metrics:type=ClientRequest,scope=Write,name=Failures\",\r\n                \"/org.apache.cassandra.metrics:type=CommitLog,name=PendingTasks\",\r\n                \"/org.apache.cassandra.metrics:type=CommitLog,name=TotalCommitLogSize\",\r\n                \"/org.apache.cassandra.metrics:type=Compaction,name=CompletedTasks\",\r\n                \"/org.apache.cassandra.metrics:type=Compaction,name=PendingTasks\",\r\n                \"/org.apache.cassandra.metrics:type=Compaction,name=TotalCompactionsCompleted\",\r\n                \"/org.apache.cassandra.metrics:type=Compaction,name=BytesCompacted\",\r\n                \"/org.apache.cassandra.metrics:type=Storage,name=Load\",\r\n                \"/org.apache.cassandra.metrics:type=Storage,name=Exceptions\",\r\n                \"/org.apache.cassandra.metrics:type=Table,keyspace=*,scope=*,name=LiveDiskSpaceUsed\",\r\n                \"/org.apache.cassandra.metrics:type=Table,keyspace=*,scope=*,name=TotalDiskSpaceUsed\",\r\n                \"/org.apache.cassandra.metrics:type=Table,keyspace=*,scope=*,name=ReadLatency\",\r\n                \"/org.apache.cassandra.metrics:type=Table,keyspace=*,scope=*,name=CoordinatorReadLatency\",\r\n                \"/org.apache.cassandra.metrics:type=Table,keyspace=*,scope=*,name=WriteLatency\",\r\n                \"/org.apache.cassandra.metrics:type=Table,keyspace=*,scope=*,name=ReadTotalLatency\",\r\n                \"/org.apache.cassandra.metrics:type=Table,keyspace=*,scope=*,name=WriteTotalLatency\",\r\n                \"/org.apache.cassandra.metrics:type=ThreadPools,path=internal,scope=CompactionExecutor,name=ActiveTasks\",\r\n                \"/org.apache.cassandra.metrics:type=ThreadPools,path=internal,scope=AntiEntropyStage,name=ActiveTasks\",\r\n                \"/org.apache.cassandra.metrics:type=ThreadPools,path=request,scope=CounterMutationStage,name=PendingTasks\",\r\n                \"/org.apache.cassandra.metrics:type=ThreadPools,path=request,scope=CounterMutationStage,name=CurrentlyBlockedTasks\",\r\n                \"/org.apache.cassandra.metrics:type=ThreadPools,path=request,scope=MutationStage,name=PendingTasks\",\r\n                \"/org.apache.cassandra.metrics:type=ThreadPools,path=request,scope=MutationStage,name=CurrentlyBlockedTasks\",\\\r\n                \"/org.apache.cassandra.metrics:type=ThreadPools,path=request,scope=ReadRepairStage,name=PendingTasks\",\r\n                \"/org.apache.cassandra.metrics:type=ThreadPools,path=request,scope=ReadRepairStage,name=CurrentlyBlockedTasks\",\r\n                \"/org.apache.cassandra.metrics:type=ThreadPools,path=request,scope=ReadStage,name=PendingTasks\",\r\n                \"/org.apache.cassandra.metrics:type=ThreadPools,path=request,scope=ReadStage,name=CurrentlyBlockedTasks\",\r\n                \"/org.apache.cassandra.metrics:type=ThreadPools,path=request,scope=RequestResponseStage,name=PendingTasks\",\r\n                \"/org.apache.cassandra.metrics:type=ThreadPools,path=request,scope=RequestResponseStage,name=CurrentlyBlockedTasks\"\r\n                ]\r\n```\r\n\r\n# Cassandra Dashboard's Panels\r\n\r\n**Genral Overview**\r\n- Connected Native Clients\r\n\r\n**Java Metrics**\r\n- Java Heap Memory\r\n- Java Non-Heap Memory\r\n- Garbage Collection Count\r\n\r\n**Cassandra Overview**\r\n- Client Read Latency\r\n- Client Write Latency\r\n- Table ReadLatency\r\n- LiveDiskSpaceUsed\r\n- Disk IO Write\r\n- Disk IO Read\r\n- Cache Hits/s\r\n- Thread Pool Active & Pending Tasks\r\n- Commit Logs\r\n\r\n## Contributor Information\r\n**mahesh.kumar@opstree.com**","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"cassandra","datasource":"Prometheus","privacy":"public","createdAt":"2020-06-18T03:33:11.000Z","updatedAt":"2022-06-03T12:58:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12493"},{"rel":"revisions","href":"/dashboards/12493/revisions"},{"rel":"revision","href":"/dashboards/12493/revisions/1"},{"rel":"download","href":"/dashboards/12493/revisions/1/download"},{"rel":"org","href":"/orgs/opstreedevops"},{"rel":"images","href":"/dashboards/12493/images"},{"rel":"thumbnails","href":"/dashboards/12493/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24648,"status":1,"statusCode":"active","orgId":891964,"orgSlug":"callcorp","orgName":"CallCorp","slug":"cassandra","downloads":35,"revisionId":39487,"revision":1,"name":"Cassandra","description":"CallCorp Cassandra Ovefview","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-01-06T14:25:20.000Z","updatedAt":"2026-02-09T13:55:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24648"},{"rel":"revisions","href":"/dashboards/24648/revisions"},{"rel":"revision","href":"/dashboards/24648/revisions/1"},{"rel":"download","href":"/dashboards/24648/revisions/1/download"},{"rel":"org","href":"/orgs/callcorp"},{"rel":"images","href":"/dashboards/24648/images"},{"rel":"thumbnails","href":"/dashboards/24648/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12086,"status":1,"statusCode":"active","orgId":372138,"orgSlug":"kwseo","orgName":"kwseo","slug":"cassandra-dashboard","downloads":7426,"revisionId":20542,"revision":2,"name":"Cassandra Dashboard","description":"","readme":"# Cassandra Dashboard with Prometheus and jmx_exporter\n\nThe configuration of jmx_exporter for Cassandra is [here](https://github.com/prometheus/jmx_exporter/blob/master/example_configs/cassandra.yml)\n\n```\nhttps://github.com/prometheus/jmx_exporter/blob/master/example_configs/cassandra.yml\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-17T07:30:33.000Z","updatedAt":"2021-03-08T03:59:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12086"},{"rel":"revisions","href":"/dashboards/12086/revisions"},{"rel":"revision","href":"/dashboards/12086/revisions/2"},{"rel":"download","href":"/dashboards/12086/revisions/2/download"},{"rel":"org","href":"/orgs/kwseo"},{"rel":"images","href":"/dashboards/12086/images"},{"rel":"thumbnails","href":"/dashboards/12086/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14070,"status":1,"statusCode":"active","orgId":472733,"orgSlug":"oramad","orgName":"oramad","slug":"cassandra-dashboard-by-oramad","downloads":1748,"revisionId":26389,"revision":4,"name":"Cassandra Dashboard by ORAMAD","description":"https://github.com/Sarma1807/Prometheus-Grafana-Cassandra","readme":"This dashboard contains several different sections to highlight the metrics for specific categories.\n\nThere are few dedicated sections for Server OS metrics ( **OS Details/Storage/CPU/RAM Usage** )\n\nAll remaining sections are for Cassandra metrics ( **Cassandra Nodes Summary/Heap Usage/Cache/CQL/Commit Log Metrics/Clients/Hints/Request Timeouts/Latency Metrics/Size details at Keyspace Level and Table Level** )\n\nDashboard also provides several filters ( **cluster/data_center/hostname/keyspace/table** ) and makes it very easy to monitor several Apache Cassandra clusters in one place.\n\n### Dashboard has been tested and working with Apache Cassandra 3.11.x / Apache Cassandra 4.x & DSE 6.8.x\n\n## How Does It Work ?\n\nApache Cassandra's built in ` metrics-reporter ` module is used to extract and publish metrics to a text file on each Cassandra server. Easy to understand ` bash shell script ` converts this metrics file to Prometheus metrics format and they are exposed to Prometheus using ` node_exporter `. As you know JMX configuration is complicated, changes to **JMX configuration is NOT REQUIRED** for this dashboard.\n\nPeriodically ` Prometheus ` will get the metrics from node_exporter and store them in its own Time-series database.\n\n` Grafana ` is used to read those metrics from Prometheus and display them on an easy to understand dashboard.\n\nStep-by-step configuration and source code has been published at :\n[https://github.com/Sarma1807/Prometheus-Grafana-Cassandra](https://github.com/Sarma1807/Prometheus-Grafana-Cassandra)\n","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-03-14T19:48:02.000Z","updatedAt":"2022-10-13T12:17:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14070"},{"rel":"revisions","href":"/dashboards/14070/revisions"},{"rel":"revision","href":"/dashboards/14070/revisions/4"},{"rel":"download","href":"/dashboards/14070/revisions/4/download"},{"rel":"org","href":"/orgs/oramad"},{"rel":"images","href":"/dashboards/14070/images"},{"rel":"thumbnails","href":"/dashboards/14070/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":371,"status":1,"statusCode":"active","orgId":15805,"orgSlug":"kaija","orgName":"kaija","slug":"cassandra-detail","downloads":4373,"revisionId":506,"revision":1,"name":"Cassandra detail","description":"Display cassandra node detail in OS, Cassandra and JVM blocks","readme":"Display detail information about cassandra node with OS metrics (cpu / memory / disk / network)\r\nCassandra metrics\r\nJVM metrics","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-08-29T08:08:29.000Z","updatedAt":"2016-08-29T08:14:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/371"},{"rel":"revisions","href":"/dashboards/371/revisions"},{"rel":"revision","href":"/dashboards/371/revisions/1"},{"rel":"download","href":"/dashboards/371/revisions/1/download"},{"rel":"org","href":"/orgs/kaija"},{"rel":"images","href":"/dashboards/371/images"},{"rel":"thumbnails","href":"/dashboards/371/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10849,"status":1,"statusCode":"active","orgId":288628,"orgSlug":"mimarpe","orgName":"mimarpe","slug":"cassandra-dashboard","downloads":10987,"revisionId":25701,"revision":3,"name":"cassandra-dashboard","description":"Monitoring for Cassandra clusters","readme":"Revision 3: https://grafana.com/api/dashboards/10849/revisions/3/download\r\n\r\nThis dashboard shows a set of graphs to monitor the operations of Apache Cassandra clusters. It should be compatible with most versions, except perhaps the \"Repair Ratio\" graph that only works in recent ones. Among others:\r\n- Global cluster operations [per type]\r\n- Operations per instance [per type]\r\n- Latencies\r\n- Active/blocked/pending thread details\r\n- Timeouts, unavailables and other errors\r\n- Cache info\r\n- Compaction information\r\n- Load per instance\r\n- Large partitions\r\n- Tombstones\r\n- Repair status and progress\r\n\r\nThe backend database is Prometheus, feel free to reuse the Ansible roles I have created:\r\n\r\nhttps://github.com/mimarpe/ansible/tree/master/roles/prometheus-deploy\r\n\r\n\r\ncassandra-exporter is used as external agent on the Cassandra nodes to get the metrics. It is based on jmx-exporter. 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It exposes useful information about the processes status: memory, go-routines, average response times for REST and GRPC calls, etc.\r\n\r\nPrerequisites to collect the metrics are the following:\r\n\r\n- Enable the metrics endpoints on Cells by exporting the  environment variable `CELLS_ENABLE_METRICS=true` or by adding the flag `--enable_metrics` to cells' start command.\r\n- [Prometheus](https://prometheus.io/)\r\n  \r\nand for the `prometheus.yml` configuration append this instruction.\r\n\r\n```yaml\r\n- job_name: \"cells\"\r\n    file_sd_configs:\r\n      - files:\r\n          - ${CELLS_WORKING_DIR}/services/pydio.gateway.metrics/prom_clients.json\r\n```\r\nMake sure to replace **$CELLS_WORKING_DIR** by your actual working directory.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2019-02-19T17:32:14.000Z","updatedAt":"2025-05-27T12:30:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9817"},{"rel":"revisions","href":"/dashboards/9817/revisions"},{"rel":"revision","href":"/dashboards/9817/revisions/4"},{"rel":"download","href":"/dashboards/9817/revisions/4/download"},{"rel":"org","href":"/orgs/pydio"},{"rel":"images","href":"/dashboards/9817/images"},{"rel":"thumbnails","href":"/dashboards/9817/thumbnails"}]},{"id":15153,"status":1,"statusCode":"active","orgId":235562,"orgSlug":"pydio","orgName":"pydio","slug":"cells-monitoring-advanced","downloads":310,"revisionId":37336,"revision":2,"name":"Cells Monitoring (Advanced)","description":"Dashboard for Pydio Cells, including additional data collected from third-party exporters","readme":"This is a dashboard for Pydio Cells metrics. It exposes useful information about the processes' status: memory, go-routines, average response times for REST and GRPC calls, etc, as well as server-generic metrics collected from node_exporter, mysql_exporter, etc.\r\n\r\nPrerequisites to collect the metrics are the following:\r\n\r\n- Enable the metrics endpoints on Cells by exporting the  environment variable `CELLS_ENABLE_METRICS=true` or by adding the flag `--enable_metrics` to cells' start command.\r\n\r\n- [Prometheus](https://prometheus.io/)\r\n\r\n- [Node exporter](https://github.com/prometheus/node_exporter)\r\n  \r\nand for the `prometheus.yml` configuration append this instruction.\r\n\r\n```yaml\r\n- job_name: \"cells\"\r\n    file_sd_configs:\r\n      - files:\r\n          - ${CELLS_WORKING_DIR}/services/pydio.gateway.metrics/prom_clients.json\r\n```\r\n\r\nMake sure to replace **$CELLS_WORKING_DIR** by your actual working directory.","collectorType":"Other","collectorConfig":"Append this job to the `prometheus.yml` file to enable the node_exporter.\r\n\r\n```yaml\r\n  - job_name: 'node_exporter'\r\n    static_configs:\r\n    - targets: ['localhost:9100']\r\n```","collectorPluginList":"cpu, meminfo, stat","datasource":null,"privacy":"public","createdAt":"2021-10-26T10:52:16.000Z","updatedAt":"2025-05-27T14:39:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15153"},{"rel":"revisions","href":"/dashboards/15153/revisions"},{"rel":"revision","href":"/dashboards/15153/revisions/2"},{"rel":"download","href":"/dashboards/15153/revisions/2/download"},{"rel":"org","href":"/orgs/pydio"},{"rel":"images","href":"/dashboards/15153/images"},{"rel":"thumbnails","href":"/dashboards/15153/thumbnails"}]},{"id":12347,"status":1,"statusCode":"active","orgId":385629,"orgSlug":"gastonbougie","orgName":"Sprk","slug":"central-operations-dash-nuc","downloads":548,"revisionId":17664,"revision":2,"name":"Central Operations Dash - NUC","description":"Inspired by A LOT of others, this is my go-to-dash.\nChange the $node variable as I use this for Node-exporters 'nuc'.\nA collection of Node-Exporter, Cadvisor and Prometheus.","readme":"","collectorType":"nodeExporter","collectorConfig":"- job_name: 'node-exporter'\n  scrape_interval: 15s\n  static_configs:\n    - targets: ['192.168.1.2:9100']\n      labels:\n        instance: 'nuc'\n","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-05-23T11:48:10.000Z","updatedAt":"2020-05-23T12:00:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12347"},{"rel":"revisions","href":"/dashboards/12347/revisions"},{"rel":"revision","href":"/dashboards/12347/revisions/2"},{"rel":"download","href":"/dashboards/12347/revisions/2/download"},{"rel":"org","href":"/orgs/gastonbougie"},{"rel":"images","href":"/dashboards/12347/images"},{"rel":"thumbnails","href":"/dashboards/12347/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13698,"status":1,"statusCode":"active","orgId":454318,"orgSlug":"matthewmarcus","orgName":"Matthew Marcus","slug":"centrifuge-chain","downloads":484,"revisionId":19994,"revision":1,"name":"Centrifuge Chain Dashboard","description":"A dashboard for monitoring your Centrifuge Chain node metrics.\n\nBased on \"My Polkadot Metrics\" by phillux\nhttps://grafana.com/grafana/dashboards/12425","readme":"Centrifuge Chain Node Metrics\n\nhttps://github.com/paritytech/polkadot\nhttps://polkadot.network\n\nA multi-blockchain node built with Rust running the core functionality on WebAssembly.\n\nMetrics\n\nChain height\n\nRate of tasks\n\nCurrently running tasks\n\nPeers connected, discovered, requested\n\nState cache DB\n\nGRANDPA validator messages\n\nQueued blocks\n\nNumber of transactions in the ready queue\n\nNumber of leaves","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-09T04:08:24.000Z","updatedAt":"2021-01-09T04:14:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13698"},{"rel":"revisions","href":"/dashboards/13698/revisions"},{"rel":"revision","href":"/dashboards/13698/revisions/1"},{"rel":"download","href":"/dashboards/13698/revisions/1/download"},{"rel":"org","href":"/orgs/matthewmarcus"},{"rel":"images","href":"/dashboards/13698/images"},{"rel":"thumbnails","href":"/dashboards/13698/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13039,"status":1,"statusCode":"active","orgId":416590,"orgSlug":"frvzmb","orgName":"Centrifugal","slug":"centrifugo","downloads":6656,"revisionId":35777,"revision":5,"name":"Centrifugo","description":"The dashboard for monitoring Centrifugo real-messaging server - https://centrifugal.dev.","readme":"The dashboard works best with Centrifugo >= 6.0.0. See in docs: https://centrifugal.dev/docs/server/observability#metrics","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-09-19T13:52:28.000Z","updatedAt":"2025-01-14T16:53:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13039"},{"rel":"revisions","href":"/dashboards/13039/revisions"},{"rel":"revision","href":"/dashboards/13039/revisions/5"},{"rel":"download","href":"/dashboards/13039/revisions/5/download"},{"rel":"org","href":"/orgs/frvzmb"},{"rel":"images","href":"/dashboards/13039/images"},{"rel":"thumbnails","href":"/dashboards/13039/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19574,"status":1,"statusCode":"active","orgId":625749,"orgSlug":"nguyenquangkhai","orgName":"nguyenquangkhai","slug":"centrifugo","downloads":285,"revisionId":30024,"revision":1,"name":"Centrifugo","description":"https://centrifugal.dev","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-09-15T01:31:20.000Z","updatedAt":"2023-09-15T01:31:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19574"},{"rel":"revisions","href":"/dashboards/19574/revisions"},{"rel":"revision","href":"/dashboards/19574/revisions/1"},{"rel":"download","href":"/dashboards/19574/revisions/1/download"},{"rel":"org","href":"/orgs/nguyenquangkhai"},{"rel":"images","href":"/dashboards/19574/images"},{"rel":"thumbnails","href":"/dashboards/19574/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9340,"status":1,"statusCode":"active","orgId":219412,"orgSlug":"bruins","orgName":"Bruins Yang","slug":"ceph-cephfs","downloads":9941,"revisionId":12913,"revision":1,"name":"Ceph - CephFS","description":"Ceph CephFS overview for official Ceph Prometheus plugin.","readme":"Profile Dashboard of CephFS.\n\nRequests:\n- Need Ceph Luminous+.\n- Enable Ceph Prometheus module on Ceph cluster.\n- Config Prometheus to collect Ceph Metrics from Ceph Mgr Prometheus Plugin.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-12-05T01:04:33.000Z","updatedAt":"2018-12-05T01:28:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9340"},{"rel":"revisions","href":"/dashboards/9340/revisions"},{"rel":"revision","href":"/dashboards/9340/revisions/1"},{"rel":"download","href":"/dashboards/9340/revisions/1/download"},{"rel":"org","href":"/orgs/bruins"},{"rel":"images","href":"/dashboards/9340/images"},{"rel":"thumbnails","href":"/dashboards/9340/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12701,"status":1,"statusCode":"active","orgId":403162,"orgSlug":"yongseokoh","orgName":"yongseokoh","slug":"ceph-cephfs-mds","downloads":1451,"revisionId":18268,"revision":3,"name":"Ceph - CephFS MDS","description":"Ceph CephFS MDS Monitoring","readme":"CephFS MDS Monitoring Dashboard\n(Extension version of https://grafana.com/grafana/dashboards/9340)\n\nRequirements\n- Ceph Nautilus 14.x version\n- Ceph Mgr Prometheus module enabled","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-07-24T09:06:45.000Z","updatedAt":"2020-07-24T09:50:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12701"},{"rel":"revisions","href":"/dashboards/12701/revisions"},{"rel":"revision","href":"/dashboards/12701/revisions/3"},{"rel":"download","href":"/dashboards/12701/revisions/3/download"},{"rel":"org","href":"/orgs/yongseokoh"},{"rel":"images","href":"/dashboards/12701/images"},{"rel":"thumbnails","href":"/dashboards/12701/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7056,"status":1,"statusCode":"active","orgId":170181,"orgSlug":"robvalca","orgName":"robvalca","slug":"ceph-cluster","downloads":20297,"revisionId":12999,"revision":2,"name":"Ceph - Cluster","description":"Ceph Cluster overview.\r\n","readme":"# Description\r\nThis dashboard is targeted for service managers or teams which manage more than one ceph instances. It shows all the stats per cluster and easy to switch between them. This dashboard uses native Ceph prometheus module (ceph_exporter not needed) for ceph stats and node exporter for node stats\r\n# Requisites\r\n- Ceph 12.2 Luminous or Ceph 13.2 Mimic (Note that some of the stats are only reported by Mimic instances)\r\n- Node Exporter for node metrics\r\n# Setup\r\n\r\n- Enable ceph prometheus module on every cluster:\r\n`ceph mgr module enable prometheus`\r\n- Allow traffic through the port `9283` of the machines containing the ceph mgr\r\n- To ensure that you don't lose the metrics between mgr fail-overs, add all the mgr to the target section in Prometheus (depending of the prometheus scrape interval some of the metrics could be lost during the failover)\r\n- In prometheus configuration, create a new label when defining the ceph targets and also the node targets, like:\r\n\r\n{ceph-targets}\r\n```\r\n{\r\n        \"targets\": [ \"mycluster-mgr-1:9283\", \"mycluster-mgr-2:9283\", \"mycluster-mgr-3:9283\" ],\r\n        \"labels\": {\r\n           \"cluster\":\"mycluster\"\r\n        }\r\n}\r\n```\r\n{node-exporter-targets}\r\n```\r\n{\r\n        \"targets\": [ \"mycluster-node-1:9100\", \"mycluster-node-2:9100\", \"mycluster-node-3:9100\" ],\r\n        \"labels\": {\r\n           \"cluster\":\"mycluster\"\r\n        }\r\n}\r\n```\r\n- In case you don't use the above label nomenclature, adapt accordingly the `cluster` variable in Grafana","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-19T12:52:03.000Z","updatedAt":"2018-12-07T10:56:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/7056"},{"rel":"revisions","href":"/dashboards/7056/revisions"},{"rel":"revision","href":"/dashboards/7056/revisions/2"},{"rel":"download","href":"/dashboards/7056/revisions/2/download"},{"rel":"org","href":"/orgs/robvalca"},{"rel":"images","href":"/dashboards/7056/images"},{"rel":"thumbnails","href":"/dashboards/7056/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":917,"status":1,"statusCode":"active","orgId":22977,"orgSlug":"cristicalin","orgName":"Cristian Calin","slug":"ceph-cluster","downloads":4636,"revisionId":1328,"revision":1,"name":"Ceph - Cluster","description":"Ceph Cluster overview.\r\n","readme":"This requires deploying the [link](https://github.com/digitalocean/ceph_exporter \"DigitalOcean ceph_exporter\")\r\n\r\nExample job configuration:\r\n```\r\n  - job_name: 'ceph-exporter'\r\n    static_configs:\r\n      - targets: ['172.17.0.1:9128']\r\n        labels:\r\n          alias: ceph-exporter\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-11-21T16:04:22.000Z","updatedAt":"2016-11-21T16:17:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/917"},{"rel":"revisions","href":"/dashboards/917/revisions"},{"rel":"revision","href":"/dashboards/917/revisions/1"},{"rel":"download","href":"/dashboards/917/revisions/1/download"},{"rel":"org","href":"/orgs/cristicalin"},{"rel":"images","href":"/dashboards/917/images"},{"rel":"thumbnails","href":"/dashboards/917/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9550,"status":1,"statusCode":"active","orgId":225169,"orgSlug":"vitalif","orgName":"vitalif","slug":"ceph-cluster","downloads":18907,"revisionId":18614,"revision":5,"name":"Ceph - Cluster","description":"Ceph Cluster overview.\r\n","readme":"Ceph Cluster overview, built for ceph-mgr's built-in prometheus exporter (available since 13.2 Mimic) with multi-cluster support (cluster is selected via $job).\r\n\r\nShows the following:\r\n- Cluster state\r\n- Monitors in quorum\r\n- Number of pools\r\n- Cluster capacity: used and total\r\n- OSDs IN/OUT/UP/DOWN\r\n- Average PGs per OSD\r\n- Average OSD apply/commit latency (equal in Bluestore)\r\n- Average monitor consensus refresh latency\r\n- Latency, IOPS and Throughput for Read, Write, Read-Modify-Write operations\r\n- MDS latency\r\n- Objects in the cluster: total\r\n- Objects in the cluster: unfound/degraded/misplaced\r\n- PGs by status\r\n- OSD storage used (total)\r\n- OSD storage used (%)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-12-18T15:25:18.000Z","updatedAt":"2020-08-22T22:16:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9550"},{"rel":"revisions","href":"/dashboards/9550/revisions"},{"rel":"revision","href":"/dashboards/9550/revisions/5"},{"rel":"download","href":"/dashboards/9550/revisions/5/download"},{"rel":"org","href":"/orgs/vitalif"},{"rel":"images","href":"/dashboards/9550/images"},{"rel":"thumbnails","href":"/dashboards/9550/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6230,"status":1,"statusCode":"active","orgId":151208,"orgSlug":"gridis","orgName":"gridis","slug":"ceph-cluster","downloads":793,"revisionId":8480,"revision":1,"name":"Ceph - Cluster","description":"Ceph Cluster overview.\r\n","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-05-23T09:41:05.000Z","updatedAt":"2018-05-23T09:43:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6230"},{"rel":"revisions","href":"/dashboards/6230/revisions"},{"rel":"revision","href":"/dashboards/6230/revisions/1"},{"rel":"download","href":"/dashboards/6230/revisions/1/download"},{"rel":"org","href":"/orgs/gridis"},{"rel":"images","href":"/dashboards/6230/images"},{"rel":"thumbnails","href":"/dashboards/6230/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2604,"status":1,"statusCode":"active","orgId":22977,"orgSlug":"cristicalin","orgName":"Cristian Calin","slug":"ceph-cluster","downloads":720,"revisionId":3531,"revision":1,"name":"Ceph - Cluster","description":"Ceph Cluster overview using InfluxDB datasource","readme":"Ceph Cluster overview using InfluxDB datasource.\r\n\r\nThe metrics need to be collected through a collectd node using collectd-ceph. This version of the dashboards has been built using the collectors hosted at: `https://github.com/inkscope/collectd-ceph`","collectorType":"collectd","collectorConfig":"```\r\n<LoadPlugin \"python\">\r\n    Globals true\r\n</LoadPlugin>\r\n\r\n<Plugin \"python\">\r\n    ModulePath \"/usr/lib/collectd/plugins/ceph\"\r\n    #Import \"getsigchld\"  #uncomment for centos\r\n    Import \"ceph_latency_plugin\"\r\n\r\n    <Module \"ceph_latency_plugin\">\r\n        Verbose \"True\"\r\n        Cluster \"ceph\"\r\n        Interval \"60\"\r\n    </Module>\r\n\r\n    Import \"ceph_monitor_plugin\"\r\n\r\n    <Module \"ceph_monitor_plugin\">\r\n        Verbose \"True\"\r\n        Cluster \"ceph\"\r\n        Interval \"60\"\r\n    </Module>\r\n\r\n    Import \"ceph_osd_plugin\"\r\n\r\n    <Module \"ceph_osd_plugin\">\r\n        Verbose \"True\"\r\n        Cluster \"ceph\"\r\n        Interval \"60\"\r\n    </Module>\r\n\r\n    Import \"ceph_pg_plugin\"\r\n\r\n    <Module \"ceph_pg_plugin\">\r\n        Verbose \"True\"\r\n        Cluster \"ceph\"\r\n        Interval \"60\"\r\n    </Module>\r\n\r\n    Import \"ceph_pool_plugin\"\r\n\r\n    <Module \"ceph_pool_plugin\">\r\n        Verbose \"True\"\r\n        Cluster \"ceph\"\r\n        Interval \"60\"\r\n        TestPool \"test\"\r\n    </Module>\r\n</Plugin>\r\n```\r\n","collectorPluginList":"Ceph plugin","datasource":"InfluxDB","privacy":"public","createdAt":"2017-07-11T09:15:50.000Z","updatedAt":"2017-07-11T09:23:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2604"},{"rel":"revisions","href":"/dashboards/2604/revisions"},{"rel":"revision","href":"/dashboards/2604/revisions/1"},{"rel":"download","href":"/dashboards/2604/revisions/1/download"},{"rel":"org","href":"/orgs/cristicalin"},{"rel":"images","href":"/dashboards/2604/images"},{"rel":"thumbnails","href":"/dashboards/2604/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10045,"status":1,"statusCode":"active","orgId":246069,"orgSlug":"fromhell","orgName":"fromhell","slug":"ceph-cluster","downloads":639,"revisionId":14044,"revision":1,"name":"Ceph - Cluster","description":"Ceph Cluster overview.\r\n","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-04-13T02:46:46.000Z","updatedAt":"2019-04-13T02:48:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/10045"},{"rel":"revisions","href":"/dashboards/10045/revisions"},{"rel":"revision","href":"/dashboards/10045/revisions/1"},{"rel":"download","href":"/dashboards/10045/revisions/1/download"},{"rel":"org","href":"/orgs/fromhell"},{"rel":"images","href":"/dashboards/10045/images"},{"rel":"thumbnails","href":"/dashboards/10045/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11474,"status":1,"statusCode":"active","orgId":330046,"orgSlug":"imos","orgName":"imos","slug":"ceph-cluster","downloads":493,"revisionId":16159,"revision":1,"name":"Ceph - Cluster","description":"Ceph Cluster overview.\r\n","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-12-27T18:32:41.000Z","updatedAt":"2019-12-27T18:33:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11474"},{"rel":"revisions","href":"/dashboards/11474/revisions"},{"rel":"revision","href":"/dashboards/11474/revisions/1"},{"rel":"download","href":"/dashboards/11474/revisions/1/download"},{"rel":"org","href":"/orgs/imos"},{"rel":"images","href":"/dashboards/11474/images"},{"rel":"thumbnails","href":"/dashboards/11474/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14194,"status":1,"statusCode":"active","orgId":480101,"orgSlug":"sonerturgut","orgName":"Soner Turgut","slug":"ceph-cluster","downloads":313,"revisionId":20862,"revision":1,"name":"Ceph - Cluster","description":"Ceph cluster overview","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-04-07T08:25:33.000Z","updatedAt":"2021-04-07T08:25:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14194"},{"rel":"revisions","href":"/dashboards/14194/revisions"},{"rel":"revision","href":"/dashboards/14194/revisions/1"},{"rel":"download","href":"/dashboards/14194/revisions/1/download"},{"rel":"org","href":"/orgs/sonerturgut"},{"rel":"images","href":"/dashboards/14194/images"},{"rel":"thumbnails","href":"/dashboards/14194/thumbnails"}]},{"id":11336,"status":1,"statusCode":"active","orgId":320704,"orgSlug":"elurex","orgName":"elurex","slug":"ceph-cluster-overview","downloads":454,"revisionId":15907,"revision":1,"name":"Ceph - Cluster Overview","description":"Ceph Cluster overview.\r\n","readme":"ceph official exporter for Nautilus ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-12-03T10:08:23.000Z","updatedAt":"2019-12-03T10:11:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11336"},{"rel":"revisions","href":"/dashboards/11336/revisions"},{"rel":"revision","href":"/dashboards/11336/revisions/1"},{"rel":"download","href":"/dashboards/11336/revisions/1/download"},{"rel":"org","href":"/orgs/elurex"},{"rel":"images","href":"/dashboards/11336/images"},{"rel":"thumbnails","href":"/dashboards/11336/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8267,"status":1,"statusCode":"active","orgId":158694,"orgSlug":"blackpiglet","orgName":"blackpiglet","slug":"ceph-fsid","downloads":461,"revisionId":11333,"revision":2,"name":"Ceph - fsid","description":"Ceph Cluster overview.\r\n","readme":"Based on [Ceph - Cluster](https://grafana.com/dashboards/917), added fsid as a variable to distinguish different Ceph clusters, due to the default Ceph cluster name is always \"Ceph\" and it costs a lot effort to modify cluster name.\r\n\r\nThis dashboard needs modified version of digital ocean's ceph_exporter to work.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-10-08T07:40:06.000Z","updatedAt":"2018-10-08T12:05:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8267"},{"rel":"revisions","href":"/dashboards/8267/revisions"},{"rel":"revision","href":"/dashboards/8267/revisions/2"},{"rel":"download","href":"/dashboards/8267/revisions/2/download"},{"rel":"org","href":"/orgs/blackpiglet"},{"rel":"images","href":"/dashboards/8267/images"},{"rel":"thumbnails","href":"/dashboards/8267/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9966,"status":1,"statusCode":"active","orgId":242120,"orgSlug":"iliul","orgName":"iliul","slug":"ceph-multicluster","downloads":10477,"revisionId":13917,"revision":1,"name":"Ceph - MultiCluster","description":"Ceph Cluster Monitor for multi clusters\n","readme":"## Requirement\n*Based on Ceph MGR Prometheus Plugin*\n- Ceph Bluestore\n- Luminous or above\n\n## Features\n- Support MultiClusters\n- Ceph RocksDB Internal Metrics\n- Support Ceph RGW Request Metrics\n- Support increased storage capacity and the number of object hourly","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-03-25T08:43:00.000Z","updatedAt":"2019-03-25T09:23:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/9966"},{"rel":"revisions","href":"/dashboards/9966/revisions"},{"rel":"revision","href":"/dashboards/9966/revisions/1"},{"rel":"download","href":"/dashboards/9966/revisions/1/download"},{"rel":"org","href":"/orgs/iliul"},{"rel":"images","href":"/dashboards/9966/images"},{"rel":"thumbnails","href":"/dashboards/9966/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11035,"status":1,"statusCode":"active","orgId":302922,"orgSlug":"mischenkovn","orgName":"mischenkovn","slug":"ceph-multicluster","downloads":452,"revisionId":15426,"revision":1,"name":"Ceph - MultiCluster","description":"Ceph Cluster Monitor for multi clusters\n","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-10-24T08:41:01.000Z","updatedAt":"2019-10-24T08:41:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11035"},{"rel":"revisions","href":"/dashboards/11035/revisions"},{"rel":"revision","href":"/dashboards/11035/revisions/1"},{"rel":"download","href":"/dashboards/11035/revisions/1/download"},{"rel":"org","href":"/orgs/mischenkovn"},{"rel":"images","href":"/dashboards/11035/images"},{"rel":"thumbnails","href":"/dashboards/11035/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":923,"status":1,"statusCode":"active","orgId":22977,"orgSlug":"cristicalin","orgName":"Cristian Calin","slug":"ceph-osd","downloads":1638,"revisionId":1331,"revision":1,"name":"Ceph - OSD","description":"CEPH OSD Status.","readme":"This requires deploying the [link](https://github.com/digitalocean/ceph_exporter \"DigitalOcean ceph_exporter\")\r\n\r\nExample job configuration:\r\n```\r\n  - job_name: 'ceph-exporter'\r\n    static_configs:\r\n      - targets: ['172.17.0.1:9128']\r\n        labels:\r\n          alias: ceph-exporter\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-11-21T16:08:14.000Z","updatedAt":"2016-11-21T16:17:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/923"},{"rel":"revisions","href":"/dashboards/923/revisions"},{"rel":"revision","href":"/dashboards/923/revisions/1"},{"rel":"download","href":"/dashboards/923/revisions/1/download"},{"rel":"org","href":"/orgs/cristicalin"},{"rel":"images","href":"/dashboards/923/images"},{"rel":"thumbnails","href":"/dashboards/923/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9551,"status":1,"statusCode":"active","orgId":225169,"orgSlug":"vitalif","orgName":"vitalif","slug":"ceph-osd","downloads":1082,"revisionId":18615,"revision":2,"name":"Ceph - OSD","description":"CEPH OSD Status.","readme":"Ceph OSD overview, built for ceph-mgr's built-in prometheus exporter (available since 13.2 Mimic) with the following features:\r\n- Multi-cluster support (cluster is selected via $job)\r\n- OSDs total, IN, UP\r\n\r\nPer each OSD:\r\n- PG number\r\n- Utilization %\r\n- Read, Write, Read-Modify-Write Latency\r\n- Storage used","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-12-18T15:45:07.000Z","updatedAt":"2020-08-22T22:16:32.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9551"},{"rel":"revisions","href":"/dashboards/9551/revisions"},{"rel":"revision","href":"/dashboards/9551/revisions/2"},{"rel":"download","href":"/dashboards/9551/revisions/2/download"},{"rel":"org","href":"/orgs/vitalif"},{"rel":"images","href":"/dashboards/9551/images"},{"rel":"thumbnails","href":"/dashboards/9551/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2607,"status":1,"statusCode":"active","orgId":22977,"orgSlug":"cristicalin","orgName":"Cristian Calin","slug":"ceph-osd","downloads":560,"revisionId":3534,"revision":1,"name":"Ceph - OSD","description":"Ceph OSDsoverview using InfluxDB datasource","readme":"Ceph OSDs overview using InfluxDB datasource.\r\n\r\nThe metrics need to be collected through a collectd node using collectd-ceph. This version of the dashboards has been built using the collectors hosted at: `https://github.com/inkscope/collectd-ceph`\r\n","collectorType":"collectd","collectorConfig":"```\r\n<LoadPlugin \"python\">\r\n    Globals true\r\n</LoadPlugin>\r\n\r\n<Plugin \"python\">\r\n    ModulePath \"/usr/lib/collectd/plugins/ceph\"\r\n    #Import \"getsigchld\"  #uncomment for centos\r\n    Import \"ceph_latency_plugin\"\r\n\r\n    <Module \"ceph_latency_plugin\">\r\n        Verbose \"True\"\r\n        Cluster \"ceph\"\r\n        Interval \"60\"\r\n    </Module>\r\n\r\n    Import \"ceph_monitor_plugin\"\r\n\r\n    <Module \"ceph_monitor_plugin\">\r\n        Verbose \"True\"\r\n        Cluster \"ceph\"\r\n        Interval \"60\"\r\n    </Module>\r\n\r\n    Import \"ceph_osd_plugin\"\r\n\r\n    <Module \"ceph_osd_plugin\">\r\n        Verbose \"True\"\r\n        Cluster \"ceph\"\r\n        Interval \"60\"\r\n    </Module>\r\n\r\n    Import \"ceph_pg_plugin\"\r\n\r\n    <Module \"ceph_pg_plugin\">\r\n        Verbose \"True\"\r\n        Cluster \"ceph\"\r\n        Interval \"60\"\r\n    </Module>\r\n\r\n    Import \"ceph_pool_plugin\"\r\n\r\n    <Module \"ceph_pool_plugin\">\r\n        Verbose \"True\"\r\n        Cluster \"ceph\"\r\n        Interval \"60\"\r\n        TestPool \"test\"\r\n    </Module>\r\n</Plugin>\r\n```\r\n","collectorPluginList":"Ceph plugin","datasource":"InfluxDB","privacy":"public","createdAt":"2017-07-11T09:21:52.000Z","updatedAt":"2017-07-11T09:24:32.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2607"},{"rel":"revisions","href":"/dashboards/2607/revisions"},{"rel":"revision","href":"/dashboards/2607/revisions/1"},{"rel":"download","href":"/dashboards/2607/revisions/1/download"},{"rel":"org","href":"/orgs/cristicalin"},{"rel":"images","href":"/dashboards/2607/images"},{"rel":"thumbnails","href":"/dashboards/2607/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11028,"status":1,"statusCode":"active","orgId":302922,"orgSlug":"mischenkovn","orgName":"mischenkovn","slug":"ceph-osd","downloads":467,"revisionId":15417,"revision":1,"name":"Ceph - OSD","description":"CEPH OSD Status (ceph-mgr, multi-cluster)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-10-23T14:39:39.000Z","updatedAt":"2019-10-23T14:39:50.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11028"},{"rel":"revisions","href":"/dashboards/11028/revisions"},{"rel":"revision","href":"/dashboards/11028/revisions/1"},{"rel":"download","href":"/dashboards/11028/revisions/1/download"},{"rel":"org","href":"/orgs/mischenkovn"},{"rel":"images","href":"/dashboards/11028/images"},{"rel":"thumbnails","href":"/dashboards/11028/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5336,"status":1,"statusCode":"active","orgId":43183,"orgSlug":"galexrt","orgName":"galexrt","slug":"ceph-osd-single","downloads":2713447,"revisionId":27352,"revision":9,"name":"Ceph - OSD (Single)","description":"CEPH OSD Status.","readme":"Dashboard for Ceph OSD (Single) using the Ceph MGR Prometheus module metrics.\n\nTested with Rook Ceph.\n\nThis dashboard is only compatible with Ceph MGR Prometheus module!\nThe Prometheus datasource needs to scrape the Ceph MGR Prometheus Module's metrics endpoints.\nMore info on the Ceph MGR Prometheus Module can be found here: http://docs.ceph.com/docs/master/mgr/prometheus/","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-03-28T10:24:40.000Z","updatedAt":"2023-01-09T11:31:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5336"},{"rel":"revisions","href":"/dashboards/5336/revisions"},{"rel":"revision","href":"/dashboards/5336/revisions/9"},{"rel":"download","href":"/dashboards/5336/revisions/9/download"},{"rel":"org","href":"/orgs/galexrt"},{"rel":"images","href":"/dashboards/5336/images"},{"rel":"thumbnails","href":"/dashboards/5336/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17296,"status":1,"statusCode":"active","orgId":734324,"orgSlug":"ksperis","orgName":"ksperis","slug":"ceph-osd-usage","downloads":664,"revisionId":32805,"revision":2,"name":"Ceph - OSD Usage","description":"Ceph OSD Usage per device_class","readme":"Simple dashboard to view OSD usage.\r\nFor multiple clusters, requires a label with the cluster name in the prometheus target : \"cluster\":\"mycluster\"\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-10-28T14:41:54.000Z","updatedAt":"2024-05-17T12:44:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17296"},{"rel":"revisions","href":"/dashboards/17296/revisions"},{"rel":"revision","href":"/dashboards/17296/revisions/2"},{"rel":"download","href":"/dashboards/17296/revisions/2/download"},{"rel":"org","href":"/orgs/ksperis"},{"rel":"images","href":"/dashboards/17296/images"},{"rel":"thumbnails","href":"/dashboards/17296/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19564,"status":1,"statusCode":"active","orgId":734324,"orgSlug":"ksperis","orgName":"ksperis","slug":"ceph-osd-util","downloads":389,"revisionId":32784,"revision":3,"name":"Ceph - OSD Util%","description":"Ceph OSD Utilization","readme":"Utilization per OSD (disk time usage, IOPS, bandwidth)\r\n\r\nTo view real usage without scrubbing, disable scrubbing temporarily:\r\n(ceph osd set noscrub; ceph osd set nodeep-scrub)\r\nCan be filtered by cluster, host, device_class","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-09-14T09:39:26.000Z","updatedAt":"2024-05-16T12:14:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19564"},{"rel":"revisions","href":"/dashboards/19564/revisions"},{"rel":"revision","href":"/dashboards/19564/revisions/3"},{"rel":"download","href":"/dashboards/19564/revisions/3/download"},{"rel":"org","href":"/orgs/ksperis"},{"rel":"images","href":"/dashboards/19564/images"},{"rel":"thumbnails","href":"/dashboards/19564/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5342,"status":1,"statusCode":"active","orgId":43183,"orgSlug":"galexrt","orgName":"galexrt","slug":"ceph-pools","downloads":1445249,"revisionId":27353,"revision":9,"name":"Ceph - Pools","description":"Ceph Pools dashboard.","readme":"Dashboard for Ceph Pools using the Ceph MGR Prometheus module metrics.\n\nTested with Rook Ceph.\n\nThis dashboard is compatible with Ceph MGR Prometheus module!\nThe Prometheus datasource needs to scrape the Ceph MGR Prometheus Module's metrics endpoint.\nMore info on the Ceph MGR Prometheus Module can be found here: http://docs.ceph.com/docs/master/mgr/prometheus/","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-03-28T10:25:42.000Z","updatedAt":"2023-01-09T11:31:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5342"},{"rel":"revisions","href":"/dashboards/5342/revisions"},{"rel":"revision","href":"/dashboards/5342/revisions/9"},{"rel":"download","href":"/dashboards/5342/revisions/9/download"},{"rel":"org","href":"/orgs/galexrt"},{"rel":"images","href":"/dashboards/5342/images"},{"rel":"thumbnails","href":"/dashboards/5342/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":926,"status":1,"statusCode":"active","orgId":22977,"orgSlug":"cristicalin","orgName":"Cristian Calin","slug":"ceph-pools","downloads":1566,"revisionId":1334,"revision":1,"name":"Ceph - Pools","description":"Ceph Pools dashboard.","readme":"This requires deploying the [link](https://github.com/digitalocean/ceph_exporter \"DigitalOcean ceph_exporter\")\r\n\r\nExample job configuration:\r\n```\r\n  - job_name: 'ceph-exporter'\r\n    static_configs:\r\n      - targets: ['172.17.0.1:9128']\r\n        labels:\r\n          alias: ceph-exporter\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-11-21T16:10:44.000Z","updatedAt":"2016-11-21T16:16:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/926"},{"rel":"revisions","href":"/dashboards/926/revisions"},{"rel":"revision","href":"/dashboards/926/revisions/1"},{"rel":"download","href":"/dashboards/926/revisions/1/download"},{"rel":"org","href":"/orgs/cristicalin"},{"rel":"images","href":"/dashboards/926/images"},{"rel":"thumbnails","href":"/dashboards/926/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9552,"status":1,"statusCode":"active","orgId":225169,"orgSlug":"vitalif","orgName":"vitalif","slug":"ceph-pools","downloads":1073,"revisionId":18691,"revision":3,"name":"Ceph - Pools","description":"Ceph Pools dashboard.","readme":"Ceph Pool overview, built for ceph-mgr's built-in prometheus exporter (available since 13.2 Mimic) with the following features:\r\n- Multi-cluster support (cluster is selected via $job)\r\n- Pool selection by name\r\n\r\nPer-pool:\r\n- Storage Used/Available (stacked)\r\n- Usage %\r\n- Objects in Pool\r\n- IOPS\r\n- Throughput","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-12-18T15:47:10.000Z","updatedAt":"2020-08-30T11:15:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9552"},{"rel":"revisions","href":"/dashboards/9552/revisions"},{"rel":"revision","href":"/dashboards/9552/revisions/3"},{"rel":"download","href":"/dashboards/9552/revisions/3/download"},{"rel":"org","href":"/orgs/vitalif"},{"rel":"images","href":"/dashboards/9552/images"},{"rel":"thumbnails","href":"/dashboards/9552/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11030,"status":1,"statusCode":"active","orgId":302922,"orgSlug":"mischenkovn","orgName":"mischenkovn","slug":"ceph-pools","downloads":445,"revisionId":15419,"revision":1,"name":"Ceph - Pools","description":"Ceph Pools 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with a Rook Ceph cluster and possibly also most Ceph Cluster with the Ceph MGR Prometheus module enabled.\r\n\r\nThe Prometheus datasource needs to scrape the Ceph MGR(s) Prometheus Metrics Endpoints.\r\nMore info on the Ceph MGR Prometheus Module can be found here: http://docs.ceph.com/docs/master/mgr/prometheus/\r\n\r\n## Credits\r\n\r\nIt is now based on the official Ceph monitoring-mixins dashboard that has been updated by my colleague Javier Lopez to use the latest Grafana time series panels, see https://github.com/ceph/ceph/pull/51340.\r\n\r\nThis dashboard was originally based on https://grafana.com/grafana/dashboards/7056 by robvalca since October 2020.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2017-08-05T18:47:01.000Z","updatedAt":"2024-09-04T14:51:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":5,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/2842"},{"rel":"revisions","href":"/dashboards/2842/revisions"},{"rel":"revision","href":"/dashboards/2842/revisions/18"},{"rel":"download","href":"/dashboards/2842/revisions/18/download"},{"rel":"org","href":"/orgs/galexrt"},{"rel":"images","href":"/dashboards/2842/images"},{"rel":"thumbnails","href":"/dashboards/2842/thumbnails"}]},{"id":3644,"status":1,"statusCode":"active","orgId":96866,"orgSlug":"yoke88","orgName":"yoke88","slug":"ceph-cluster","downloads":883,"revisionId":5009,"revision":1,"name":"Ceph Cluster","description":"Ceph cluster dashborad (Monitoring data is from ceph mgr zabbix plugin )","readme":"This dashboard is using ceph mgr zabbix plugins to generate monitoring 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","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-01-03T19:11:48.000Z","updatedAt":"2018-01-03T20:42:33.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4244"},{"rel":"revisions","href":"/dashboards/4244/revisions"},{"rel":"revision","href":"/dashboards/4244/revisions/1"},{"rel":"download","href":"/dashboards/4244/revisions/1/download"},{"rel":"org","href":"/orgs/mhdo"},{"rel":"images","href":"/dashboards/4244/images"},{"rel":"thumbnails","href":"/dashboards/4244/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23343,"status":1,"statusCode":"active","orgId":1413639,"orgSlug":"fmaurergrafana","orgName":"fmaurergrafana","slug":"ceph-cluster-operations","downloads":316,"revisionId":37021,"revision":1,"name":"Ceph Cluster Operations","description":"This dashboard shows information about the Ceph cluster operations.\r\nThis utilizes the ceph influx service as described at:\r\nhttps://docs.ceph.com/en/latest/mgr/influx/","readme":"This dashboard shows information about the Ceph cluster operations.\r\nThis utilizes the ceph influx service as described at:\r\nhttps://docs.ceph.com/en/latest/mgr/influx/\r\n\r\nIt uses influx 1.8, ceph and grafana and is a good alternative to the usage of the ceph telegraf plugin.\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-04-26T20:22:53.000Z","updatedAt":"2025-04-26T21:08:45.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23343"},{"rel":"revisions","href":"/dashboards/23343/revisions"},{"rel":"revision","href":"/dashboards/23343/revisions/1"},{"rel":"download","href":"/dashboards/23343/revisions/1/download"},{"rel":"org","href":"/orgs/fmaurergrafana"},{"rel":"images","href":"/dashboards/23343/images"},{"rel":"thumbnails","href":"/dashboards/23343/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":7050,"status":1,"statusCode":"active","orgId":170181,"orgSlug":"robvalca","orgName":"robvalca","slug":"ceph-clusters-overview","downloads":5858,"revisionId":9579,"revision":1,"name":"Ceph Clusters Overview Prometheus","description":"Dashboard for monitoring ceph cluster stats using native ceph prometheus module.\r\n","readme":"# Description\r\nThis dashboard is targeted for service managers or teams which manage more than one ceph instances. It shows all the stats combined and also is possible to create comparison graphs between clusters. This dashboard uses native ceph prometheus module (ceph_exporter not needed) for ceph stats and node exporter for node stats\r\n# Requisites\r\n- Ceph Luminous (12.2) or Ceph Mimic (13.2)\r\n- Node Exporter for node metrics\r\n# Setup\r\n\r\n- Enable ceph prometheus module:\r\n`ceph mgr module enable prometheus`\r\n- Allow traffic through the port `9283` of the machines containing the ceph mgr.\r\n- To ensure that you don't lose the metrics between mgr fail-overs, add all the mgr to the target section in prometheus.\r\n- To allow \"by cluster\" metrics, create a new label when defining the targets, like:\r\n```\r\n{\r\n        \"targets\": [ \"mycluster-mgr-1:9283\", \"mycluster-mgr-2:9283\", \"mycluster-mgr-3:9283\" ],\r\n        \"labels\": {\r\n           \"cluster\":\"mycluster\"\r\n        }\r\n}\r\n```\r\n\r\n\r\n\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-19T12:16:05.000Z","updatedAt":"2018-07-19T13:28:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7050"},{"rel":"revisions","href":"/dashboards/7050/revisions"},{"rel":"revision","href":"/dashboards/7050/revisions/1"},{"rel":"download","href":"/dashboards/7050/revisions/1/download"},{"rel":"org","href":"/orgs/robvalca"},{"rel":"images","href":"/dashboards/7050/images"},{"rel":"thumbnails","href":"/dashboards/7050/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6422,"status":1,"statusCode":"active","orgId":149708,"orgSlug":"anthonysr","orgName":"Anthony R","slug":"ceph-metrics-single","downloads":725,"revisionId":9022,"revision":3,"name":"Ceph Metrics - Single","description":"Ceph metrics from a single Telegraf instance","readme":"Display Ceph metrics for a single Telegraf instance, selectable via drop-down. 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It's compatible with the Prometheus operator CRDs, or annotations based pod discovery.\r\n* [Docker Image](https://hub.docker.com/r/enix/x509-certificate-exporter) with other container orchestrators or docker-compose stacks\r\n\r\n## Exporter source code\r\nIf these installation options do not fit with your environment, you can also build your own GO binary directly from [X509 Certificate Exporter](https://github.com/enix/x509-certificate-exporter) source code.\r\n\r\nFeel free to help and provide us a feedback on this dashboard (or on the feature itself 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[git](https://github.com/NettyW/Certificates-overview-grafana-dashboard))","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-11-13T20:11:40.000Z","updatedAt":"2024-11-14T19:42:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22294"},{"rel":"revisions","href":"/dashboards/22294/revisions"},{"rel":"revision","href":"/dashboards/22294/revisions/1"},{"rel":"download","href":"/dashboards/22294/revisions/1/download"},{"rel":"org","href":"/orgs/nettyw"},{"rel":"images","href":"/dashboards/22294/images"},{"rel":"thumbnails","href":"/dashboards/22294/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17700,"status":1,"statusCode":"active","orgId":766579,"orgSlug":"rickyy","orgName":"rickyy","slug":"certstream","downloads":2172,"revisionId":32811,"revision":7,"name":"Certstream","description":"","readme":"A helpful dashboard for 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\"policy:sourceContext=app|workload-name|pod|reserved-identity;destinationContext=app|workload-name|pod|dns|reserved-identity;labelsContext=source_namespace,destination_namespace\"\r\n```\r\n\r\nThis example will enable `policy` metrics (you can add [more metrics](https://docs.cilium.io/en/v1.12/operations/metrics/#hubble-exported-metrics) to that list).\r\nAdditionally, it will configure the labels for\r\nthe `policy` metric series to use:\r\n- `app`, `workload-name`, `pod` or `reserved-identity` for source flows\r\n- `app`, `workload-name`, `pod`, `dns`, or `reserved-identity` for destination flows\r\n- additional `source_namespace` and `destination_namespace` labels\r\n\r\nThe present Grafana dashboard is optimized for this context configuration (see [documentation](https://docs.cilium.io/en/stable/operations/metrics/#context-options)).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-01-31T17:14:25.000Z","updatedAt":"2023-04-18T04:42:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18015"},{"rel":"revisions","href":"/dashboards/18015/revisions"},{"rel":"revision","href":"/dashboards/18015/revisions/4"},{"rel":"download","href":"/dashboards/18015/revisions/4/download"},{"rel":"org","href":"/orgs/isovalent"},{"rel":"images","href":"/dashboards/18015/images"},{"rel":"thumbnails","href":"/dashboards/18015/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14500,"status":1,"statusCode":"active","orgId":611120,"orgSlug":"isovalent","orgName":"Isovalent","slug":"cilium-metrics","downloads":19085,"revisionId":21463,"revision":1,"name":"Cilium v1.10 Agent Metrics","description":"Dashboard for Cilium v1.10 (https://cilium.io/) Agent metrics","readme":"# Cilium v1.10 Agent Metrics\n\nA dashboard for displaying **Cilium Agent** metrics. 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The dashboard for Cilium Agent is available here: [Cilium v1.11 Agent Metrics](https://grafana.com/grafana/dashboards/15513)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-01-10T22:23:20.000Z","updatedAt":"2022-01-10T22:28:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15514"},{"rel":"revisions","href":"/dashboards/15514/revisions"},{"rel":"revision","href":"/dashboards/15514/revisions/1"},{"rel":"download","href":"/dashboards/15514/revisions/1/download"},{"rel":"org","href":"/orgs/isovalent"},{"rel":"images","href":"/dashboards/15514/images"},{"rel":"thumbnails","href":"/dashboards/15514/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16611,"status":1,"statusCode":"active","orgId":611120,"orgSlug":"isovalent","orgName":"Isovalent","slug":"cilium-metrics","downloads":1234153,"revisionId":25390,"revision":1,"name":"Cilium v1.12 Agent Metrics","description":"Dashboard for Cilium v1.12 (https://cilium.io/) Agent metrics","readme":"# Cilium v1.12 Agent Metrics\r\n\r\nA dashboard for displaying **Cilium Agent** metrics. Refer to the [Running Prometheus & Grafana](https://docs.cilium.io/en/v1.12/gettingstarted/grafana/) guide in the Cilium documentation for screenshots and an example deployment which includes this dashboard. Additional information about the exported metrics can be found in the [Monitoring & Metrics](https://docs.cilium.io/en/v1.12/operations/metrics/#metrics) section.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-07-20T16:48:18.000Z","updatedAt":"2022-07-20T17:01:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16611"},{"rel":"revisions","href":"/dashboards/16611/revisions"},{"rel":"revision","href":"/dashboards/16611/revisions/1"},{"rel":"download","href":"/dashboards/16611/revisions/1/download"},{"rel":"org","href":"/orgs/isovalent"},{"rel":"images","href":"/dashboards/16611/images"},{"rel":"thumbnails","href":"/dashboards/16611/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16613,"status":1,"statusCode":"active","orgId":611120,"orgSlug":"isovalent","orgName":"Isovalent","slug":"hubble","downloads":715986,"revisionId":25392,"revision":1,"name":"Cilium v1.12 Hubble Metrics","description":"Dashboard for the Cilium v1.12 (https://cilium.io/) Hubble metrics","readme":"# Cilium v1.12 Hubble Metrics\r\n\r\nThis is the dashboard for **Hubble**. The dashboard for Cilium Agent is available here: [Cilium v1.12 Agent Metrics](https://grafana.com/grafana/dashboards/16611)\r\n\r\nTo expose the metrics used by this dashboard please follow [this guide](https://docs.cilium.io/en/stable/operations/metrics/#hubble-metrics).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-07-20T16:58:13.000Z","updatedAt":"2022-07-20T17:01:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16613"},{"rel":"revisions","href":"/dashboards/16613/revisions"},{"rel":"revision","href":"/dashboards/16613/revisions/1"},{"rel":"download","href":"/dashboards/16613/revisions/1/download"},{"rel":"org","href":"/orgs/isovalent"},{"rel":"images","href":"/dashboards/16613/images"},{"rel":"thumbnails","href":"/dashboards/16613/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16612,"status":1,"statusCode":"active","orgId":611120,"orgSlug":"isovalent","orgName":"Isovalent","slug":"cilium-operator","downloads":160920,"revisionId":25391,"revision":1,"name":"Cilium v1.12 Operator Metrics","description":"Dashboard for the Cilium v1.12 (https://cilium.io/) Operator metrics","readme":"# Cilium v1.12 Operator Metrics\r\n\r\nThis is the dashboard for **Cilium Operator**. 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Refer to the [Running Prometheus & Grafana](http://docs.cilium.io/en/v1.4/gettingstarted/grafana/) guide in the Cilium documentation for screenshots and an example deployment which includes this dashboard. Additional information about the exported metrics can be found in the [Monitoring & Metrics](http://docs.cilium.io/en/v1.4/configuration/metrics/) section.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-07-23T15:46:23.000Z","updatedAt":"2019-07-23T15:51:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10599"},{"rel":"revisions","href":"/dashboards/10599/revisions"},{"rel":"revision","href":"/dashboards/10599/revisions/1"},{"rel":"download","href":"/dashboards/10599/revisions/1/download"},{"rel":"org","href":"/orgs/isovalent"},{"rel":"images","href":"/dashboards/10599/images"},{"rel":"thumbnails","href":"/dashboards/10599/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10597,"status":1,"statusCode":"active","orgId":611120,"orgSlug":"isovalent","orgName":"Isovalent","slug":"cilium-metrics","downloads":326,"revisionId":14806,"revision":1,"name":"Cilium v1.5 Agent Metrics","description":"Dashboard for Cilium v1.5 (https://cilium.io/) Agent metrics","readme":"# Cilium v1.5 Agent Metrics\r\n\r\nA dashboard for displaying **Cilium Agent** metrics. Refer to the [Running Prometheus & Grafana](http://docs.cilium.io/en/v1.5/gettingstarted/grafana/) guide in the Cilium documentation for screenshots and an example deployment which includes this dashboard. Additional information about the exported metrics can be found in the [Monitoring & Metrics](http://docs.cilium.io/en/v1.5/configuration/metrics/) section.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-07-23T15:23:08.000Z","updatedAt":"2019-07-23T15:51:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10597"},{"rel":"revisions","href":"/dashboards/10597/revisions"},{"rel":"revision","href":"/dashboards/10597/revisions/1"},{"rel":"download","href":"/dashboards/10597/revisions/1/download"},{"rel":"org","href":"/orgs/isovalent"},{"rel":"images","href":"/dashboards/10597/images"},{"rel":"thumbnails","href":"/dashboards/10597/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10596,"status":1,"statusCode":"active","orgId":611120,"orgSlug":"isovalent","orgName":"Isovalent","slug":"cilium-metrics","downloads":1012,"revisionId":14805,"revision":1,"name":"Cilium v1.6 Agent Metrics","description":"Dashboard for the Cilium v1.6 (https://cilium.io/) Agent metrics","readme":"# Cilium v1.6 Agent Metrics\r\n\r\nA dashboard for displaying **Cilium Agent** metrics. Refer to the [Running Prometheus & Grafana](http://docs.cilium.io/en/v1.6/gettingstarted/grafana/) guide in the Cilium documentation for screenshots and an example deployment which includes this dashboard. Additional information about the exported metrics can be found in the [Monitoring & Metrics](http://docs.cilium.io/en/v1.6/configuration/metrics/) section.\r\n\r\nThe dashboard for the metrics exposed by Cilium operator is available separately: [Cilium v1.6 Operator Metrics](https://grafana.com/grafana/dashboards/10598/)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-07-23T15:07:50.000Z","updatedAt":"2019-07-24T08:47:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10596"},{"rel":"revisions","href":"/dashboards/10596/revisions"},{"rel":"revision","href":"/dashboards/10596/revisions/1"},{"rel":"download","href":"/dashboards/10596/revisions/1/download"},{"rel":"org","href":"/orgs/isovalent"},{"rel":"images","href":"/dashboards/10596/images"},{"rel":"thumbnails","href":"/dashboards/10596/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10598,"status":1,"statusCode":"active","orgId":611120,"orgSlug":"isovalent","orgName":"Isovalent","slug":"cilium-operator","downloads":909,"revisionId":14807,"revision":1,"name":"Cilium v1.6 Operator Metrics","description":"Dashboard for the Cilium v1.6 (https://cilium.io/) Operator metrics","readme":"# Cilium v1.6 Operator Metrics\r\n\r\nThis is the dashboard for **Cilium Operator**. 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Refer to the [Running Prometheus & Grafana](http://docs.cilium.io/en/v1.8/gettingstarted/grafana/) guide in the Cilium documentation for screenshots and an example deployment which includes this dashboard. Additional information about the exported metrics can be found in the [Monitoring & Metrics](https://docs.cilium.io/en/v1.8/operations/metrics/#metrics) section.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-12-08T21:02:55.000Z","updatedAt":"2020-12-08T21:05:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13540"},{"rel":"revisions","href":"/dashboards/13540/revisions"},{"rel":"revision","href":"/dashboards/13540/revisions/1"},{"rel":"download","href":"/dashboards/13540/revisions/1/download"},{"rel":"org","href":"/orgs/isovalent"},{"rel":"images","href":"/dashboards/13540/images"},{"rel":"thumbnails","href":"/dashboards/13540/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13542,"status":1,"statusCode":"active","orgId":611120,"orgSlug":"isovalent","orgName":"Isovalent","slug":"hubble","downloads":384,"revisionId":19782,"revision":1,"name":"Cilium v1.8 Hubble Metrics","description":"Dashboard for the Cilium v1.8 (https://cilium.io/) Hubble metrics","readme":"# Cilium v1.8 Hubble Metrics\n\nThis is the dashboard for **Hubble**. 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Refer to the [Running Prometheus & Grafana](http://docs.cilium.io/en/v1.9/gettingstarted/grafana/) guide in the Cilium documentation for screenshots and an example deployment which includes this dashboard. Additional information about the exported metrics can be found in the [Monitoring & Metrics](https://docs.cilium.io/en/v1.9/operations/metrics/#metrics) section.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-12-08T18:26:22.000Z","updatedAt":"2020-12-08T18:37:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13537"},{"rel":"revisions","href":"/dashboards/13537/revisions"},{"rel":"revision","href":"/dashboards/13537/revisions/1"},{"rel":"download","href":"/dashboards/13537/revisions/1/download"},{"rel":"org","href":"/orgs/isovalent"},{"rel":"images","href":"/dashboards/13537/images"},{"rel":"thumbnails","href":"/dashboards/13537/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13539,"status":1,"statusCode":"active","orgId":611120,"orgSlug":"isovalent","orgName":"Isovalent","slug":"hubble","downloads":418343,"revisionId":19773,"revision":1,"name":"Cilium v1.9 Hubble Metrics","description":"Dashboard for the Cilium v1.9 (https://cilium.io/) Hubble metrics","readme":"# Cilium v1.9 Hubble Metrics\n\nThis is the dashboard for **Hubble**. The dashboard for Cilium Agent is available here: [Cilium v1.9 Agent Metrics](https://grafana.com/grafana/dashboards/13537/)\n\nTo expose the metrics used by this dashboard please follow [this guide](https://docs.cilium.io/en/stable/operations/metrics/#hubble-metrics).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-12-08T18:50:58.000Z","updatedAt":"2020-12-08T18:56:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13539"},{"rel":"revisions","href":"/dashboards/13539/revisions"},{"rel":"revision","href":"/dashboards/13539/revisions/1"},{"rel":"download","href":"/dashboards/13539/revisions/1/download"},{"rel":"org","href":"/orgs/isovalent"},{"rel":"images","href":"/dashboards/13539/images"},{"rel":"thumbnails","href":"/dashboards/13539/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13538,"status":1,"statusCode":"active","orgId":611120,"orgSlug":"isovalent","orgName":"Isovalent","slug":"cilium-operator","downloads":416927,"revisionId":19772,"revision":1,"name":"Cilium v1.9 Operator Metrics","description":"Dashboard for the Cilium v1.9 (https://cilium.io/) Operator metrics","readme":"# Cilium v1.9 Operator Metrics\n\nThis is the dashboard for **Cilium Operator**. 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","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-01-14T16:27:00.000Z","updatedAt":"2021-01-14T16:32:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13721"},{"rel":"revisions","href":"/dashboards/13721/revisions"},{"rel":"revision","href":"/dashboards/13721/revisions/1"},{"rel":"download","href":"/dashboards/13721/revisions/1/download"},{"rel":"org","href":"/orgs/tavenger5"},{"rel":"images","href":"/dashboards/13721/images"},{"rel":"thumbnails","href":"/dashboards/13721/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12519,"status":1,"statusCode":"active","orgId":299931,"orgSlug":"tavenger5","orgName":"tavenger5","slug":"circuitsetup-us-whole-house-energy","downloads":1093,"revisionId":17982,"revision":2,"name":"CircuitSetup.us Whole House Energy","description":"Energy data from the CircuitSetup.us Split Single Phase Energy Meter. Data from InfluxDB via MQTT.","readme":"Shows all metering data from the CircuitSetup.us Split Single Phase Energy Meter, including current from both current transformers, voltage, frequency, and active, reactive, apparent, fundamental, and harmonic power. Data is sent to Node-Red via MQTT (from EmonESP), then to InfluxDB. [Details on this setup here](https://github.com/CircuitSetup/Split-Single-Phase-Energy-Meter/tree/master/Software/examples/NodeRed)\n\nA more direct approach would be to use [ESPHome on the meter's ESP32](https://next.esphome.io/components/sensor/atm90e32.html) to send data directly to Home Assistant. ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-06-23T12:26:27.000Z","updatedAt":"2020-06-23T12:45:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12519"},{"rel":"revisions","href":"/dashboards/12519/revisions"},{"rel":"revision","href":"/dashboards/12519/revisions/2"},{"rel":"download","href":"/dashboards/12519/revisions/2/download"},{"rel":"org","href":"/orgs/tavenger5"},{"rel":"images","href":"/dashboards/12519/images"},{"rel":"thumbnails","href":"/dashboards/12519/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14535,"status":1,"statusCode":"active","orgId":505669,"orgSlug":"esp32powermonitor","orgName":"esp32powermonitor","slug":"circuitsetup-us-whole-house-energy","downloads":307,"revisionId":21516,"revision":1,"name":"CircuitSetup.us Whole House Energy","description":"Energy data from the CircuitSetup.us Split Single Phase Energy Meter. Data from InfluxDB via MQTT.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-06-03T19:35:20.000Z","updatedAt":"2021-06-03T19:37:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14535"},{"rel":"revisions","href":"/dashboards/14535/revisions"},{"rel":"revision","href":"/dashboards/14535/revisions/1"},{"rel":"download","href":"/dashboards/14535/revisions/1/download"},{"rel":"org","href":"/orgs/esp32powermonitor"},{"rel":"images","href":"/dashboards/14535/images"},{"rel":"thumbnails","href":"/dashboards/14535/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24321,"status":1,"statusCode":"active","orgId":1438828,"orgSlug":"millau","orgName":"codelev","slug":"cirona-self-configuring-job-scheduler-for-docker-swarm","downloads":84,"revisionId":38903,"revision":3,"name":"Cirona self-configuring job scheduler for Docker Swarm","description":"Cirona self-configuring job scheduler for Docker Swarm","readme":"Official dashboard for Cirona self-configuring job scheduler for Docker Swarm.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-11-01T11:49:54.000Z","updatedAt":"2025-11-03T19:01:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24321"},{"rel":"revisions","href":"/dashboards/24321/revisions"},{"rel":"revision","href":"/dashboards/24321/revisions/3"},{"rel":"download","href":"/dashboards/24321/revisions/3/download"},{"rel":"org","href":"/orgs/millau"},{"rel":"images","href":"/dashboards/24321/images"},{"rel":"thumbnails","href":"/dashboards/24321/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12432,"status":1,"statusCode":"active","orgId":390799,"orgSlug":"nwmichl","orgName":"NWMichl","slug":"cisco-aci","downloads":685,"revisionId":17827,"revision":1,"name":"Cisco ACI","description":"Monitor Cisco ACI via REST API\r\n\r\n\r\n","readme":"# CiscoACI_Grafana\r\nDemo about how to monitor Cisco ACI via REST-API with the TIG-Stack (Telegraf, InfluxDB, Grafana).\r\n\r\nVisit [GitHub CiscoACI_Grafana](https://github.com/NWMichl/CiscoACI_Grafana \"https://github.com/NWMichl/CiscoACI_Grafana\") or my blog post over at [NWMichl Blog](https://nwmichl.net/2020/04/19/monitor-cisco-aci-via-rest-api/ \"https://nwmichl.net/2020/04/19/monitor-cisco-aci-via-rest-api/\") for Telegraf configuration files and full documentation.\r\n\r\n## Shell scripts\r\napic_query.sh and apic_querysig.sh may live in the /etc/telegraf directory and provide a wrapper around the API Call.\r\nTelegraf inputs.http doesn't support cookie handling, so I choose to break out to bash and use inputs.exec to parse the json response. Same for the cert / signature based authentication script, because nobody really wants to manual generate the signature and build the http header cookie by hand. \r\n\r\n    #!/bin/bash\r\n    #\r\n    # Invoke: sh apic_query.sh <APIC-FQDN or IP> <API-Operation> <username> <password>\r\n    # Example: sh apic_query.sh sandboxapicdc.cisco.com /api/class/fabricHealthTotal.json telegraf telegraf\r\n    #\r\n    \r\n    # Pipe bash arguments to variables\r\n    apic=$1\r\n    operation=$2\r\n    user=$3\r\n    pass=$4\r\n    \r\n    # Create random cookie filename to avoid race conditions by multiple, concurrent script executions\r\n    cookiefilename=apic_cookie_$RANDOM\r\n    \r\n    # APIC Login and store session cookie to /etc/telegraf\r\n    curl -s -k -d \"<aaaUser name=$user pwd=$pass/>\" -c /etc/telegraf/$cookiefilename -X POST https://$apic/api/mo/aaaLogin.xml > /dev/null\r\n    \r\n    # APIC Query Operation using the session cookie\r\n    curl -s -k -X GET https://$apic$operation -b /etc/telegraf/$cookiefilename\r\n    \r\n    # APIC Logout\r\n    curl -s -k -d \"<aaaUser name=$user/>\" -X POST https://$apic/api/mo/aaaLogout.json -b /etc/telegraf/$cookiefilename > /dev/null\r\n\r\n    # Remove session cookie\r\n    rm /etc/telegraf/$cookiefilename\r\n\r\n## Telegraf configuration\r\n.conf files live in the /etc/telegraf/telegraf.d directory and query all metrics to populate the Grafana dashboard of this demo\r\n\r\n## Grafana \r\nThe Dashboard is a first idea to visualize central Cisco ACI metrics and should help to get started developing own solutions.","collectorType":"Telegraf","collectorConfig":"## Example Telegraf configuration file \r\n\r\n    [[inputs.exec]]\r\n      name_override = \"ACI_APIC\"\r\n      commands = [\"sh /etc/telegraf/apic_query.sh sandboxapicdc.cisco.com /api/class/infraWiNode.json telegraf telegraf\"]\r\n      timeout = \"10s\"\r\n      data_format = \"json\"\r\n\r\n      json_query = \"imdata\"\r\n      tag_keys = [\"infraWiNode_attributes_nodeName\", \"infraWiNode_attributes_addr\"]\r\n      json_string_fields = [\"*health\", \"*apicMode\", \"*adminSt\", \"*operSt\", \"*failoverStatus\"]\r\n\r\n    [inputs.exec.tags]\r\n      apic = \"sandboxapicdc.cisco.com\"","collectorPluginList":"exec","datasource":"InfluxDB","privacy":"public","createdAt":"2020-06-09T18:55:02.000Z","updatedAt":"2020-06-10T06:43:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12432"},{"rel":"revisions","href":"/dashboards/12432/revisions"},{"rel":"revision","href":"/dashboards/12432/revisions/1"},{"rel":"download","href":"/dashboards/12432/revisions/1/download"},{"rel":"org","href":"/orgs/nwmichl"},{"rel":"images","href":"/dashboards/12432/images"},{"rel":"thumbnails","href":"/dashboards/12432/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23632,"status":1,"statusCode":"active","orgId":1472116,"orgSlug":"asparkes","orgName":"asparkes","slug":"cisco-aci","downloads":229,"revisionId":37627,"revision":1,"name":"Cisco ACI","description":"Monitor Cisco ACI via REST API","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-07-01T12:13:12.000Z","updatedAt":"2025-07-01T12:13:25.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23632"},{"rel":"revisions","href":"/dashboards/23632/revisions"},{"rel":"revision","href":"/dashboards/23632/revisions/1"},{"rel":"download","href":"/dashboards/23632/revisions/1/download"},{"rel":"org","href":"/orgs/asparkes"},{"rel":"images","href":"/dashboards/23632/images"},{"rel":"thumbnails","href":"/dashboards/23632/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12468,"status":1,"statusCode":"active","orgId":153747,"orgSlug":"ciscojer","orgName":"jeremycohoe","slug":"catalyst-9800-client-stats","downloads":1225,"revisionId":17879,"revision":1,"name":"Cisco Catalyst 9800 - Client Stats","description":"Cisco Catalyst 9800 IOS XE Wireless - gRPC Model Driven Telemetry - Client Stats","readme":"Reference: https://www.wifireference.com/2020/01/14/viewing-network-telemetry-from-the-catalyst-9800-with-grafana/\n\n\n# telegraf.conf\n```\n# Cisco Telemetry MDT - gRPC Dial-Out Telemetry Listener\n[[inputs.cisco_telemetry_mdt]]\n  transport = \"grpc\"\n  service_address = \":57500\"\n\n# Output Plugin InfluxDB\n[[outputs.influxdb]]\n  database = \"cisco_telemetry_mdt_grpc\"\n  urls = [ \"http://127.0.0.1:8086\" ]\n```\n\n# IOS XE CLI Configuration\nThe following CLI can be added to IOS XE 17.1+ to enable the publication of Model Driven Telemetry. Be sure to update the source and destination IP addresses\n```\nnetconf-yang\n```\n\n```\ntelemetry ietf subscription 1\n encoding encode-kvgpb\n filter xpath /wireless-client-oper:client-oper-data/dot11-oper-data\n source-address 10.10.10.92\n stream yang-push\n update-policy periodic 3000\n receiver ip address 10.10.10.49 57500 protocol grpc-tcp\n\ntelemetry ietf subscription 2\n encoding encode-kvgpb\n filter xpath /wireless-client-oper:client-oper-data/traffic-stats\n source-address 10.10.10.92\n stream yang-push\n update-policy periodic 3000\n receiver ip address 10.10.10.49 57500 protocol grpc-tcp\n\ntelemetry ietf subscription 3\n...\n```\n\n## Create additional telemetry configurations for each filter xpath:\n```\nfilter xpath /wireless-client-oper:client-oper-data/dot11-oper-data\nfilter xpath /wireless-client-oper:client-oper-data/traffic-stats\nfilter xpath /wireless-client-oper:client-oper-data/dc-info\nfilter xpath /wireless-client-oper:client-oper-data/sisf-db-mac\nfilter xpath /wireless-client-oper:client-oper-data/client-wsa-info\nfilter xpath /wireless-access-point-oper:access-point-oper-data/radio-oper-stats\nfilter xpath /wireless-access-point-oper:access-point-oper-data/ap-name-mac-map\nfilter xpath /wireless-access-point-oper:access-point-oper-data/capwap-data\nfilter xpath /wireless-access-point-oper:access-point-oper-data/radio-oper-data\nfilter xpath /wireless-access-point-oper:access-point-oper-data/ssid-counters\nfilter xpath /wireless-client-oper:client-oper-data/common-oper-data\nfilter xpath /wireless-rrm-oper:rrm-oper-data/rrm-measurement\nfilter xpath /wireless-mobility-oper:mobility-oper-data/mobility-node-data\nfilter xpath /wireless-mobility-oper:mobility-oper-data/wlan-client-limit\nfilter xpath /wireless-access-point-oper:access-point-oper-data\nfilter xpath /wireless-client-oper:client-oper-data\nfilter xpath /wireless-location-oper:location-oper-data\n```","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2020-06-13T15:54:22.000Z","updatedAt":"2020-09-25T15:34:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12468"},{"rel":"revisions","href":"/dashboards/12468/revisions"},{"rel":"revision","href":"/dashboards/12468/revisions/1"},{"rel":"download","href":"/dashboards/12468/revisions/1/download"},{"rel":"org","href":"/orgs/ciscojer"},{"rel":"images","href":"/dashboards/12468/images"},{"rel":"thumbnails","href":"/dashboards/12468/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17238,"status":1,"statusCode":"active","orgId":153747,"orgSlug":"ciscojer","orgName":"jeremycohoe","slug":"catalyst-poe-dashboard","downloads":406,"revisionId":26476,"revision":1,"name":"Cisco Catalyst POE","description":"Cisco Catalyst Model Driven Telemetry (MDT) Power Over Ethernet (POE) dashboard","readme":"See details at https://github.com/jeremycohoe/cisco-mdt-poe/\r\n\r\n","collectorType":"Telegraf","collectorConfig":"```\r\n[agent]\r\n  hostname = \"jcohoe-ubuntu\"\r\n  flush_interval = \"15s\"\r\n  interval = \"15s\"\r\n\r\n[[inputs.cisco_telemetry_mdt]]\r\n  transport = \"grpc\"\r\n  service_address = \":57500\"\r\n\r\n[[outputs.influxdb]]\r\n  database = \"mdt_grpc\"\r\n  urls = [ \"http://127.0.0.1:8086\" ]\r\n```","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2022-10-21T02:14:07.000Z","updatedAt":"2022-10-21T02:16:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17238"},{"rel":"revisions","href":"/dashboards/17238/revisions"},{"rel":"revision","href":"/dashboards/17238/revisions/1"},{"rel":"download","href":"/dashboards/17238/revisions/1/download"},{"rel":"org","href":"/orgs/ciscojer"},{"rel":"images","href":"/dashboards/17238/images"},{"rel":"thumbnails","href":"/dashboards/17238/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11405,"status":1,"statusCode":"active","orgId":234141,"orgSlug":"mephisto","orgName":"mephisto","slug":"cisco-cx3560","downloads":3147,"revisionId":16006,"revision":1,"name":"Cisco CX3560","description":"Dashboard for Cisco CX3560","readme":"Set the IP(s) of your catalyst switches in your telegraf config and you're all set.","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.snmp]]\r\n  agents = [ \"SwitchIP\" ]\r\n  version = 2\r\n  community = \"public\"\r\n  [[inputs.snmp.field]]\r\n    name = \"sysName\"\r\n    oid = \"SNMPv2-MIB::sysName.0\"\r\n    is_tag = true\r\n  [[inputs.snmp.field]]\r\n    name = \"sysLocation\"\r\n    oid = \"SNMPv2-MIB::sysLocation.0\"\r\n    is_tag = true\r\n  [[inputs.snmp.field]]\r\n    name = \"uptime\"\r\n    oid = \"DISMAN-EVENT-MIB::sysUpTimeInstance\"\r\n  [[inputs.snmp.field]]\r\n    name = \"ciscoProduct\"\r\n    oid = \"iso.3.6.1.4.1.9.9.402.1.3.1.2.1\"\r\n  [[inputs.snmp.field]]\r\n    name = \"ciscoSoftware\"\r\n    oid = \"iso.3.6.1.4.1.9.9.500.1.2.1.1.8.1001\"\r\n   \r\n\r\n#Temps\r\n  [[inputs.snmp.table]]\r\n    name = \"ciscoEnvMonTemperatureStatusTable\"\r\n    inherit_tags = [\"sysName\",\"sysLocation\"]\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ciscoEnvMonTemperatureStatusDescr\"\r\n      oid = \"iso.3.6.1.4.1.9.9.13.1.3.1.2\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ciscoEnvMonTemperatureStatusValue\"\r\n      oid = \"iso.3.6.1.4.1.9.9.13.1.3.1.3\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ciscoEnvMonTemperatureThreshold\"\r\n      oid = \"iso.3.6.1.4.1.9.9.13.1.3.1.4\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ciscoEnvMonTemperatureLastShutdown\"\r\n      oid = \"iso.3.6.1.4.1.9.9.13.1.3.1.5\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ciscoEnvMonTemperatureState\"\r\n      oid = \"iso.3.6.1.4.1.9.9.13.1.3.1.6\"\r\n\r\n#Powersupply\r\n  [[inputs.snmp.table]]\r\n    name = \"ciscoEnvMonSupplyStatusTable\"\r\n    inherit_tags = [\"sysName\",\"sysLocation\"]\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ciscoEnvMonSupplyStatusDescr\"\r\n      oid = \"iso.3.6.1.4.1.9.9.13.1.5.1.2\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ciscoEnvMonSupplyState\"\r\n      oid = \"iso.3.6.1.4.1.9.9.13.1.5.1.3\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"RciscoEnvMonSupplySource\"\r\n      oid = \"iso.3.6.1.4.1.9.9.13.1.5.1.4\"\r\n\r\n  [[inputs.snmp.table]]\r\n    name = \"ciscoCPU\"\r\n    inherit_tags = [\"sysName\",\"sysLocation\"]\r\n    [[inputs.snmp.table.field]]\r\n      name = \"cpmCPUTotal5secRev\"\r\n      oid = \".1.3.6.1.4.1.9.9.109.1.1.1.1.6\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"cpmCPUTotal1minRev\"\r\n      oid = \".1.3.6.1.4.1.9.9.109.1.1.1.1.7\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"cpmCPUTotal5minRev\"\r\n      oid = \".1.3.6.1.4.1.9.9.109.1.1.1.1.8\"\r\n\r\n\r\n#Interface Stats\r\n  [[inputs.snmp.table]]\r\n    name = \"ciscoInterface\"\r\n    inherit_tags = [ \"sysName\",\"sysLocation\" ]\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"IF-MIB::ifHCInOctets\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"IF-MIB::ifHCOutOctets\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"IF-MIB::ifDescr\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"IF-MIB::ifAlias\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"IF-MIB::ifHighSpeed\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"IF-MIB::ifOperStatus\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"IF-MIB::ifLastChange\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"IF-MIB::ifInErrors\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"IF-MIB::ifOutErrors\"\r\n\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-12-12T22:46:39.000Z","updatedAt":"2019-12-12T22:50:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":4,"reviewsAvgRating":4.25,"links":[{"rel":"self","href":"/dashboards/11405"},{"rel":"revisions","href":"/dashboards/11405/revisions"},{"rel":"revision","href":"/dashboards/11405/revisions/1"},{"rel":"download","href":"/dashboards/11405/revisions/1/download"},{"rel":"org","href":"/orgs/mephisto"},{"rel":"images","href":"/dashboards/11405/images"},{"rel":"thumbnails","href":"/dashboards/11405/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12948,"status":1,"statusCode":"active","orgId":410663,"orgSlug":"hawarkoy","orgName":"Hawar Koyi","slug":"cisco-dna-center","downloads":1628,"revisionId":19675,"revision":8,"name":"Cisco DNA Center","description":"Cisco DNA Center Network Operations Center Dashboard. Added Eisenhower Executive Office Building to site health.","readme":"Use revision 8, Added Washington DC and Eisenhower Executive Office Building to site health panels. \nTo getting started,  visit https://hawar.no/2020/09/05/cisco-dna-center-with-grafana-dashboard","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2020-09-05T11:20:29.000Z","updatedAt":"2025-06-21T10:46:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/12948"},{"rel":"revisions","href":"/dashboards/12948/revisions"},{"rel":"revision","href":"/dashboards/12948/revisions/8"},{"rel":"download","href":"/dashboards/12948/revisions/8/download"},{"rel":"org","href":"/orgs/hawarkoy"},{"rel":"images","href":"/dashboards/12948/images"},{"rel":"thumbnails","href":"/dashboards/12948/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":13997,"status":1,"statusCode":"active","orgId":469326,"orgSlug":"ciscoftd","orgName":"Cisco FTD on Azure AI","slug":"cisco-ftd-system-on-azure-application-insights","downloads":432,"revisionId":20517,"revision":1,"name":"Cisco FTD System On Azure Application Insights","description":"Basic Metrics from Cisco FTD devices uploaded to Azure Application Insights.","readme":"Cisco Firepower Threat Defence device can be configured to emit metrics to Azure Application Insights. This feature will be available to Cisco FTD customers in second half of calendar year 2021. The customers can monitor these metrics on this grafana dashboard by pointing the grafana dashboard to Azure Application Insight instance. To do that:\n1. Download and start Grafana\n2. On Grafana application, Go to Configure data source - Azure Monitor.\n2. Go to \"Azure Application Insights Details\" in the data source settings.\n3. Fill in the \"API Key\" and \"Application Id\" obtained from Azure Application Insights dashboard.\n4. In the dashboard, just fill in \"deviceName\" of the device you want to monitor and you will start receiving metrics for given device on the dashboard.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2021-03-03T12:10:28.000Z","updatedAt":"2021-03-03T12:33:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13997"},{"rel":"revisions","href":"/dashboards/13997/revisions"},{"rel":"revision","href":"/dashboards/13997/revisions/1"},{"rel":"download","href":"/dashboards/13997/revisions/1/download"},{"rel":"org","href":"/orgs/ciscoftd"},{"rel":"images","href":"/dashboards/13997/images"},{"rel":"thumbnails","href":"/dashboards/13997/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":5564,"status":1,"statusCode":"active","orgId":107170,"orgSlug":"indigo423","orgName":"opennms-community","slug":"cisco-nexus-7000","downloads":1392,"revisionId":32868,"revision":3,"name":"Cisco Nexus 7000","description":"","readme":"System and network statistics for Cisco Nexus 7000 devices with OpenNMS Horizon based on SNMP agent provided metrics. The dashboard shows the following metrics:\r\n\r\n* Process CPU usage in % for each available module\r\n* Memory usage in bytes for each available module\r\n* Temperature for all available Cisco NX Environment Sensors\r\n* MIB-2 interface metrics for each network interface​, i.e errors, discards, bandwidth utilization, packet statistics","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"OpenNMS Performance","privacy":"public","createdAt":"2018-04-13T16:32:14.000Z","updatedAt":"2024-05-23T19:20:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5564"},{"rel":"revisions","href":"/dashboards/5564/revisions"},{"rel":"revision","href":"/dashboards/5564/revisions/3"},{"rel":"download","href":"/dashboards/5564/revisions/3/download"},{"rel":"org","href":"/orgs/indigo423"},{"rel":"images","href":"/dashboards/5564/images"},{"rel":"thumbnails","href":"/dashboards/5564/thumbnails"}],"datasourceSlugs":["opennms-performance-datasource"]},{"id":12488,"status":1,"statusCode":"active","orgId":390799,"orgSlug":"nwmichl","orgName":"NWMichl","slug":"ifalias-query","downloads":595,"revisionId":17915,"revision":1,"name":"Cisco NXOS/ACI IfAlias","description":"No.1 Troubleshooting Dashboard - Filter Interface Statistics based on IfAlias/Description","readme":"# Cisco NX-OS and ACI  -  IfAlias Dashboard\r\n\r\nSo this one has the potential to become your most popular dashboard ... ever.\r\n\r\n## Data gathering\r\n\r\nTelegraf polls configured devices (agents) via SNMPv3 and stores all metrics as a measurement IF in the InfluxDB.\r\nYou might like to adjust the [inputs.snmp.tagpass] section if you want to poll portchannel or loopback Interfaces as well.\r\n\r\n## Dashboard usage\r\n\r\nWhen you open the dashboard nothing is displayed, because the ad hoc query at the top of the screen is set to an unused default value. Just enter a (part of a) searchstring of your connected device, be it a server, Firewall, WAN Edge,... and the Dashboards provides full interfaces statistics of all Switches with this IfAlias, as well as three graph panels with Interface status, Traffic and Errors over time. Remember: The query uses regex, so it has to begin and end with an slash, like /-253/ in the example to find the Server with -253 in the name.\r\n\r\nShare this dashboard with your serverteam, service desk, basically everyone connecting straight to your network and your ticket count will drop significantly. Because now everybody can self evaluate the network side of their devices.\r\n","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.snmp]]\r\nagents = [ \"1.1.1.1\" ]\r\ntimeout = \"5s\"\r\nretries = 3\r\nversion = 3\r\nsec_name = \"telegraf\"\r\nauth_protocol = \"SHA\"\r\nauth_password = \"<SECRET>\"\r\nsec_level = \"authPriv\"\r\npriv_protocol = \"AES\"\r\npriv_password = \"<SECRET>\"\r\n\r\n[[inputs.snmp.field]]\r\n    oid = \"RFC1213-MIB::sysName.0\"\r\n    name = \"source\"\r\n    is_tag = true\r\n[[inputs.snmp.table]]\r\n  name = \"IF\"\r\n  inherit_tags = [ \"source\" ]\r\n  # oid = \"IF-MIB::ifXTable\" # Don't walk the whole table, just single metrics specified\r\n  # Interface tag - used to identify interface in metrics database [[inputs.snmp.table.field]]\r\n[[inputs.snmp.table.field]]\r\n   name = \"ifName\"\r\n   oid = \"IF-MIB::ifName\"\r\n   is_tag = true\r\n[[inputs.snmp.table.field]]\r\n   name = \"ifAlias\"\r\n   oid = \"IF-MIB::ifAlias\"\r\n   is_tag = true\r\n[[inputs.snmp.table.field]]\r\n   name = \"ifOperStatusCause\"\r\n   oid = \"1.3.6.1.4.1.9.9.276.1.1.2.1.10\"\r\n   is_tag = true\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifHighSpeed\"\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifAdminStatus\"\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifOperStatus\"\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifHCInOctets\"\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifHCOutOctets\"\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifInDiscards\"\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifOutDiscards\"\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifInErrors\"\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifOutErrors\"\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifInUnknownProtos\"\r\n\r\n[inputs.snmp.tagpass]\r\n     ifName = [ \"Ethernet*\" ] # Only Metrics starting with \"Ethernet\", no VLAN, portchannel, ...\r\n\r\n[[outputs.influxdb]]\r\n  database = \"telegraf\"\r\n  username = \"<username>\"\r\n  password = \"<password>\"\r\n```\r\n","collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2020-06-17T15:57:31.000Z","updatedAt":"2020-06-17T18:14:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12488"},{"rel":"revisions","href":"/dashboards/12488/revisions"},{"rel":"revision","href":"/dashboards/12488/revisions/1"},{"rel":"download","href":"/dashboards/12488/revisions/1/download"},{"rel":"org","href":"/orgs/nwmichl"},{"rel":"images","href":"/dashboards/12488/images"},{"rel":"thumbnails","href":"/dashboards/12488/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12476,"status":1,"statusCode":"active","orgId":390799,"orgSlug":"nwmichl","orgName":"NWMichl","slug":"switches","downloads":7198,"revisionId":17887,"revision":1,"name":"Cisco NXOS/ACI Switch","description":"Device Dashboard via SNMPv3","readme":"# Cisco NX-OS/ACI\r\n\r\nDemo about how to monitor Cisco NX-OS and ACI Switches via SNMPv3 and the TIG-Stack (Telegraf, InfluxDB, Grafana).\r\nThe Dashboard is a first idea to visualize metrics per device and should help to get started developing own solutions.\r\n\r\nVisit my blog post over at [NWMichl Blog](https://nwmichl.net/2020/06/14/monitor-cisco-nx-os-aci-via-snmp-and-the-tig-stack/ \"https://nwmichl.net/2020/06/14/monitor-cisco-nx-os-aci-via-snmp-and-the-tig-stack/\") for full documentation and device onboarding via Ansible.\r\n\r\n","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.snmp]]\r\nagents = [ \"1.1.1.1\" ]\r\ntimeout = \"5s\"\r\nretries = 3\r\nversion = 3\r\nsec_name = \"telegraf\"\r\nauth_protocol = \"SHA\"\r\nauth_password = \"<SECRET>\"\r\nsec_level = \"authPriv\"\r\npriv_protocol = \"AES\"\r\npriv_password = \"<SECRET>\"\r\n\r\n[[inputs.snmp.field]]\r\n    name = \"uptime\"\r\n    oid = \"DISMAN-EVENT-MIB::sysUpTimeInstance\"\r\n[[inputs.snmp.field]]\r\n    name = \"CPU1m\"\r\n    oid = \"1.3.6.1.4.1.9.9.109.1.1.1.1.7.1\"\r\n[[inputs.snmp.field]]\r\n    name = \"MemUsed\"\r\n    oid = \"1.3.6.1.4.1.9.9.109.1.1.1.1.12.1\"\r\n[[inputs.snmp.field]]\r\n    name = \"MemFree\"\r\n    oid = \"1.3.6.1.4.1.9.9.109.1.1.1.1.13.1\"\r\n[[inputs.snmp.field]]\r\n    oid = \"RFC1213-MIB::sysName.0\"\r\n    name = \"source\"\r\n    is_tag = true\r\n\r\n[[inputs.snmp.table]]\r\n    name = \"FRU\"\r\n    inherit_tags = [ \"source\" ]\r\n    index_as_tag = true\r\n[[inputs.snmp.table.field]]\r\n    name = \"FAN_Status\"\r\n    oid = \"1.3.6.1.4.1.9.9.117.1.4.1.1.1\"\r\n[[inputs.snmp.table.field]]\r\n    name = \"PSU_Status\"\r\n    oid = \"1.3.6.1.4.1.9.9.117.1.1.2.1.2\"\r\n\r\n[[inputs.snmp.table]]\r\n  name = \"IF\"\r\n  inherit_tags = [ \"source\" ]\r\n  # oid = \"IF-MIB::ifXTable\" # Don't walk the whole table, just single metrics specified\r\n  # Interface tag - used to identify interface in metrics database [[inputs.snmp.table.field]]\r\n[[inputs.snmp.table.field]]\r\n   name = \"ifName\"\r\n   oid = \"IF-MIB::ifName\"\r\n   is_tag = true\r\n[[inputs.snmp.table.field]]\r\n   name = \"ifAlias\"\r\n   oid = \"IF-MIB::ifAlias\"\r\n   is_tag = true\r\n[[inputs.snmp.table.field]]\r\n   name = \"ifOperStatusCause\"\r\n   oid = \"1.3.6.1.4.1.9.9.276.1.1.2.1.10\"\r\n   is_tag = true\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifHighSpeed\"\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifAdminStatus\"\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifOperStatus\"\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifHCInOctets\"\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifHCOutOctets\"\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifInDiscards\"\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifOutDiscards\"\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifInErrors\"\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifOutErrors\"\r\n[[inputs.snmp.table.field]]\r\n   oid = \"IF-MIB::ifInUnknownProtos\"\r\n\r\n```","collectorPluginList":"snmp, Other","datasource":"InfluxDB","privacy":"public","createdAt":"2020-06-15T06:35:09.000Z","updatedAt":"2020-06-15T08:09:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/12476"},{"rel":"revisions","href":"/dashboards/12476/revisions"},{"rel":"revision","href":"/dashboards/12476/revisions/1"},{"rel":"download","href":"/dashboards/12476/revisions/1/download"},{"rel":"org","href":"/orgs/nwmichl"},{"rel":"images","href":"/dashboards/12476/images"},{"rel":"thumbnails","href":"/dashboards/12476/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24729,"status":1,"statusCode":"active","orgId":1191240,"orgSlug":"crazywolf13","orgName":"crazywolf13","slug":"cisco-sg300-28pp","downloads":25,"revisionId":39638,"revision":1,"name":"Cisco SG30028PP","description":"Cisco SG300 Monitoring stack via Telegraf, InfluxDB and Grafana","readme":"This dashboard is designed for Cisco SG300 switches. Since these devices are not based on Cisco IOS, they are somewhat unique and require different SNMP OIDs than standard Cisco enterprise switches.\r\n\r\nIt will most likely also work with other Cisco Small Business models that originated from Linksys (later acquired by Cisco).\r\n\r\nFor more details and the Telegraf configuration, please see my GitHub repository:\r\n[https://github.com/CrazyWolf13/CiscoSG300-Monitoring](https://github.com/CrazyWolf13/CiscoSG300-Monitoring)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2026-01-23T09:45:47.000Z","updatedAt":"2026-02-01T12:16:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24729"},{"rel":"revisions","href":"/dashboards/24729/revisions"},{"rel":"revision","href":"/dashboards/24729/revisions/1"},{"rel":"download","href":"/dashboards/24729/revisions/1/download"},{"rel":"org","href":"/orgs/crazywolf13"},{"rel":"images","href":"/dashboards/24729/images"},{"rel":"thumbnails","href":"/dashboards/24729/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23559,"status":1,"statusCode":"active","orgId":1458937,"orgSlug":"civiloid","orgName":"civiloid","slug":"trex","downloads":253,"revisionId":37504,"revision":1,"name":"CISCO T-Rex Grafana dashboard","description":"It assumes data is exported by https://github.com/Civil/ciscotrex_exporter\r\n\r\nProvides a simple dashboard for the t-rex exporter. Shows basic stats for selected t-rex server instance - like tx/rx bytes, tx/rx packets, interface errors, drops.","readme":"It assumes data is exported by https://github.com/Civil/ciscotrex_exporter\r\n\r\nProvides a simple dashboard for the t-rex exporter. Shows basic stats for selected t-rex server instance - like tx/rx bytes, tx/rx packets, interface errors, drops.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-06-16T06:38:01.000Z","updatedAt":"2025-06-16T06:41:17.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23559"},{"rel":"revisions","href":"/dashboards/23559/revisions"},{"rel":"revision","href":"/dashboards/23559/revisions/1"},{"rel":"download","href":"/dashboards/23559/revisions/1/download"},{"rel":"org","href":"/orgs/civiloid"},{"rel":"images","href":"/dashboards/23559/images"},{"rel":"thumbnails","href":"/dashboards/23559/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22905,"status":1,"statusCode":"active","orgId":882541,"orgSlug":"olegkashtanov","orgName":"olegkashtanov","slug":"cisco-trex","downloads":540,"revisionId":36190,"revision":1,"name":"Cisco trex","description":"Cisco trex stats metrics for ASTF mode. \r\n","readme":"Dashboard for visualizing Cisco TRex metrics in ASTF mode.\r\nThe metrics are collected at 10-second intervals and stored in an InfluxDB database while running the `trex_run.py` script from the [https://github.com/OlegKashtanov/ngfw-trex-perf](https://github.com/OlegKashtanov/ngfw-trex-perf) repository.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, InfluxDB","privacy":"public","createdAt":"2025-02-20T14:00:05.000Z","updatedAt":"2025-02-21T07:08:32.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22905"},{"rel":"revisions","href":"/dashboards/22905/revisions"},{"rel":"revision","href":"/dashboards/22905/revisions/1"},{"rel":"download","href":"/dashboards/22905/revisions/1/download"},{"rel":"org","href":"/orgs/olegkashtanov"},{"rel":"images","href":"/dashboards/22905/images"},{"rel":"thumbnails","href":"/dashboards/22905/thumbnails"}],"datasourceSlugs":["__expr__","influxdb"]},{"id":1118,"status":1,"statusCode":"active","orgId":13847,"orgSlug":"micelshima","orgName":"Mikel V.","slug":"citrix-xenapp-monitoring","downloads":2720,"revisionId":1571,"revision":1,"name":"Citrix Xenapp Monitoring","description":"Citrix Xenapp sessions monitoring, application usage and farm status","readme":"Collector is a powershell script scheduled in Windows server. I have uploaded it here:\r\nhttps://github.com/micelshima/InfluxDB-Powershell-Module","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2016-12-09T09:47:52.000Z","updatedAt":"2017-01-25T22:13:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1118"},{"rel":"revisions","href":"/dashboards/1118/revisions"},{"rel":"revision","href":"/dashboards/1118/revisions/1"},{"rel":"download","href":"/dashboards/1118/revisions/1/download"},{"rel":"org","href":"/orgs/micelshima"},{"rel":"images","href":"/dashboards/1118/images"},{"rel":"thumbnails","href":"/dashboards/1118/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22667,"status":1,"statusCode":"active","orgId":1295737,"orgSlug":"sharinglifechurch","orgName":"sharinglifechurch","slug":"citrix-xenapp-monitoring","downloads":286,"revisionId":35747,"revision":1,"name":"Citrix Xenapp Monitoring","description":"Citrix Xenapp sessions monitoring, application usage and farm status","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-01-13T01:36:56.000Z","updatedAt":"2025-01-13T02:00:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22667"},{"rel":"revisions","href":"/dashboards/22667/revisions"},{"rel":"revision","href":"/dashboards/22667/revisions/1"},{"rel":"download","href":"/dashboards/22667/revisions/1/download"},{"rel":"org","href":"/orgs/sharinglifechurch"},{"rel":"images","href":"/dashboards/22667/images"},{"rel":"thumbnails","href":"/dashboards/22667/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19989,"status":1,"statusCode":"active","orgId":989026,"orgSlug":"sargin","orgName":"sargin","slug":"fiber-framework-processes","downloads":260,"revisionId":30729,"revision":1,"name":"CizUP","description":"CizUP Metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-14T21:19:12.000Z","updatedAt":"2023-11-14T21:19:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19989"},{"rel":"revisions","href":"/dashboards/19989/revisions"},{"rel":"revision","href":"/dashboards/19989/revisions/1"},{"rel":"download","href":"/dashboards/19989/revisions/1/download"},{"rel":"org","href":"/orgs/sargin"},{"rel":"images","href":"/dashboards/19989/images"},{"rel":"thumbnails","href":"/dashboards/19989/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21684,"status":1,"statusCode":"active","orgId":1194581,"orgSlug":"hq0101","orgName":"hq0101","slug":"clamd-dashboard","downloads":288,"revisionId":33926,"revision":1,"name":"Clamd Dashboard","description":"ClamAV Dashboard","readme":"ClamdExporter https://github.com/hq0101/clamd_exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-08-12T13:24:49.000Z","updatedAt":"2024-08-12T13:27:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21684"},{"rel":"revisions","href":"/dashboards/21684/revisions"},{"rel":"revision","href":"/dashboards/21684/revisions/1"},{"rel":"download","href":"/dashboards/21684/revisions/1/download"},{"rel":"org","href":"/orgs/hq0101"},{"rel":"images","href":"/dashboards/21684/images"},{"rel":"thumbnails","href":"/dashboards/21684/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18530,"status":1,"statusCode":"active","orgId":343945,"orgSlug":"zxh326","orgName":"zxh326","slug":"clash-dashboard","downloads":662,"revisionId":29098,"revision":3,"name":"Clash dashboard","description":"Clash exporter example dashboard","readme":"https://github.com/zxh326/clash-exporter","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-15T16:32:09.000Z","updatedAt":"2023-06-15T07:30:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18530"},{"rel":"revisions","href":"/dashboards/18530/revisions"},{"rel":"revision","href":"/dashboards/18530/revisions/3"},{"rel":"download","href":"/dashboards/18530/revisions/3/download"},{"rel":"org","href":"/orgs/zxh326"},{"rel":"images","href":"/dashboards/18530/images"},{"rel":"thumbnails","href":"/dashboards/18530/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25326,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"claude-code","downloads":0,"revisionId":40840,"revision":1,"name":"Claude Code","description":"Claude Code usage analytics: tracks cost, token consumption, API requests, tool usage, sessions, active coding time, lines of code, commits, code edit acceptance rate, per-user breakdown, and error details. Data sourced from Application Insights via OpenTelemetry.","readme":"# Claude Code Monitoring Dashboard\r\n\r\nMonitor Claude Code usage, costs, and developer productivity using Application Insights and OpenTelemetry data.\r\n\r\n## What This Dashboard Shows\r\n\r\n- **Cost Tracking**: Total cost in USD across all models\r\n- **Token Consumption**: Input/output token usage with model breakdowns\r\n- **API Requests**: Request volume, latency, and error rates\r\n- **Tool Usage**: Tool call patterns and execution metrics\r\n- **Sessions & Productivity**: Session counts, active coding time, lines of code, commits\r\n- **Code Edit Acceptance**: Acceptance rate tracking for AI-suggested edits\r\n- **Per-User Breakdown**: Individual user analytics and usage patterns\r\n- **Error Details**: Exception tracking and debugging information\r\n\r\n## Prerequisites\r\n\r\n- Azure Managed Grafana instance\r\n- Application Insights resource with OpenTelemetry data from Claude Code\r\n- Azure Monitor data source configured in Grafana\r\n\r\n## Getting Started\r\n\r\n1. Import this dashboard into your Azure Managed Grafana instance\r\n2. Select your Azure Monitor data source\r\n3. Configure the Application Insights resource filter\r\n\r\nFor detailed setup instructions, visit: https://aka.ms/amg/dash-doc/claude-code","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2026-05-21T23:28:23.000Z","updatedAt":"2026-05-21T23:29:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25326"},{"rel":"revisions","href":"/dashboards/25326/revisions"},{"rel":"revision","href":"/dashboards/25326/revisions/1"},{"rel":"download","href":"/dashboards/25326/revisions/1/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/25326/images"},{"rel":"thumbnails","href":"/dashboards/25326/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":25052,"status":1,"statusCode":"active","orgId":294226,"orgSlug":"fb1w2w3y","orgName":"fb1w2w3y","slug":"claude-code","downloads":186,"revisionId":40275,"revision":1,"name":"Claude Code","description":"Claude Code usage analytics: tracks cost, token consumption, API requests, tool usage, sessions, active coding time, lines of code, commits, code edit acceptance rate, per-user breakdown, and error details. Data sourced from Application Insights via OpenTelemetry.","readme":"# Claude Code\r\n\r\nMonitoring dashboard for Claude Code usage and performance via Application Insights OpenTelemetry data. Tracks cost, token consumption, API requests, tool usage, sessions, active coding time, lines of code, commits, code edit acceptance rate, per-user breakdown, and error details.\r\n\r\n## Screenshots\r\n![Claude Code – Main](https://github.com/1w2w3y/grafana-dashboards/raw/master/claude-code/claude-code-main.png)\r\n\r\n## Issues and feedback\r\nhttps://github.com/1w2w3y/grafana-dashboards/issues\r\n\r\n## Features\r\n- Summary KPIs\r\n  - Total Cost, Total Sessions, User Prompts, API Requests, API Errors, Active Time\r\n- Cost & Token Trends\r\n  - Daily Cost by Model\r\n  - Daily Token Usage by Type\r\n- Model Usage Breakdown\r\n  - Token Usage by Model\r\n  - Cost by Model\r\n  - API Requests by Model\r\n- Tool Usage Analytics\r\n  - Tool Usage (Top Tools)\r\n  - Daily Tool Usage (Stacked)\r\n- Productivity Metrics\r\n  - Lines of Code (Added vs Removed)\r\n  - Daily Commits\r\n  - Daily User Prompts\r\n- Session & Activity\r\n  - Daily Sessions\r\n  - Active Time per Day\r\n  - Code Edit Accept Rate\r\n- Per-User Metrics\r\n  - User Summary\r\n  - Per-User Cost by Model\r\n- Errors & Reliability\r\n  - API Errors Over Time\r\n  - Error Details\r\n\r\n## How it works\r\n- Grafana queries Application Insights via the Azure Monitor data source using Log Analytics (KQL) queries against OpenTelemetry data.\r\n- Variables:\r\n  - `am_ds` — Azure Monitor data source\r\n  - `sub` — Azure subscription\r\n  - `rg` — Resource group (resolved via Azure Resource Graph for `microsoft.insights/components`)\r\n  - `res` — Application Insights resource\r\n- Default time range is 7 days.\r\n\r\n## Requirements\r\n- Grafana 11.6+ with the Azure Monitor data source configured with access to the subscription containing your Application Insights resource.\r\n- Claude Code telemetry data flowing into Application Insights via OpenTelemetry. See [Ingest data into Application Insights via OpenTelemetry Collector](https://aka.ms/amg/dash-doc/otlp-appinsights) for the end-to-end setup — running the OTel Collector with the Azure Monitor Exporter, the Claude Code env vars (`CLAUDE_CODE_ENABLE_TELEMETRY`, `OTEL_EXPORTER_OTLP_ENDPOINT`, etc.) in `settings.json`, and KQL verification queries against `customMetrics`.\r\n\r\n## Change history\r\n- 5/1/2026 Point data-ingestion link to the published Microsoft Learn guide (aka.ms/amg/dash-doc/otlp-appinsights)\r\n- 3/23/2026 Initial version","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2026-03-23T18:28:19.000Z","updatedAt":"2026-05-02T04:37:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25052"},{"rel":"revisions","href":"/dashboards/25052/revisions"},{"rel":"revision","href":"/dashboards/25052/revisions/1"},{"rel":"download","href":"/dashboards/25052/revisions/1/download"},{"rel":"org","href":"/orgs/fb1w2w3y"},{"rel":"images","href":"/dashboards/25052/images"},{"rel":"thumbnails","href":"/dashboards/25052/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":24640,"status":1,"statusCode":"active","orgId":335710,"orgSlug":"amper","orgName":"amper","slug":"claude-code-victoriastack","downloads":287,"revisionId":39476,"revision":1,"name":"Claude Code (VictoriaStack)","description":"Dashboard for Claude Code CLI with information about cost, token usage, tools usage stats and latency, added/removed lines of code, API requests and errors, created commits and PRs, etc...","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"VictoriaLogs, VictoriaMetrics","privacy":"public","createdAt":"2026-01-06T11:13:44.000Z","updatedAt":"2026-01-06T11:20:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24640"},{"rel":"revisions","href":"/dashboards/24640/revisions"},{"rel":"revision","href":"/dashboards/24640/revisions/1"},{"rel":"download","href":"/dashboards/24640/revisions/1/download"},{"rel":"org","href":"/orgs/amper"},{"rel":"images","href":"/dashboards/24640/images"},{"rel":"thumbnails","href":"/dashboards/24640/thumbnails"}],"datasourceSlugs":["victoriametrics-logs-datasource","victoriametrics-metrics-datasource"]},{"id":24993,"status":1,"statusCode":"active","orgId":1695108,"orgSlug":"shashwatsaxena","orgName":"shashwatsaxena","slug":"claude-code-metrics","downloads":415,"revisionId":40174,"revision":1,"name":"Claude Code Metrics","description":"Comprehensive monitoring dashboard for Claude Code CLI usage. Track sessions, tokens, costs, commits, pull requests, lines of code, and developer productivity metrics. Compatible with Prometheus, VictoriaMetrics, Mimir, and Thanos.\r\n\r\nMetrics required:\r\n- claude_code_session_count_total\r\n- claude_code_token_usage_tokens_total\r\n- claude_code_cost_usage_USD_total\r\n- claude_code_active_time_seconds_total\r\n- claude_code_lines_of_code_count_total\r\n- claude_code_commit_count_total\r\n- claude_code_pull_request_count_total\r\n- claude_code_code_edit_tool_decision_total\r\n\r\nFor metric collection setup, see: https://github.com/anthropics/claude-code","readme":"# Claude Code Metrics Dashboard\r\n\r\nA comprehensive Grafana dashboard for monitoring [Claude Code](https://docs.anthropic.com/en/docs/claude-code) CLI usage, costs, and developer productivity metrics.\r\n\r\n## Dashboard Preview\r\n\r\n![Dashboard Overview](https://raw.githubusercontent.com/dreamplug-tech/marlin/main/dashboards/screenshots/overview.png)\r\n\r\n## Features\r\n\r\n- **Usage Overview**: Sessions, users, tokens, and costs at a glance\r\n- **Cost Tracking**: Track spending by model, user, and repository\r\n- **Token Analytics**: Monitor token usage by type (input, output, cache)\r\n- **Productivity Metrics**: Lines of code, commits, and pull requests\r\n- **Leaderboards**: Top users and repositories by cost/tokens\r\n- **Multi-dimensional Filtering**: Filter by organization, user, model, and repository\r\n\r\n## Requirements\r\n\r\n### Grafana Version\r\n- Grafana 10.0.0 or higher\r\n\r\n### Datasource\r\n- Any Prometheus-compatible datasource:\r\n  - Prometheus\r\n  - VictoriaMetrics\r\n  - Mimir\r\n  - Thanos\r\n  - Cortex\r\n\r\n### Required Metrics\r\n\r\nYour Claude Code telemetry must expose these metrics:\r\n\r\n| Metric | Type | Labels | Description |\r\n|--------|------|--------|-------------|\r\n| `claude_code_session_count_total` | Counter | `user_email`, `organization_id`, `marlin_git_repo`, `terminal_type` | Number of CLI sessions |\r\n| `claude_code_token_usage_tokens_total` | Counter | `user_email`, `organization_id`, `model`, `type`, `marlin_git_repo` | Token consumption |\r\n| `claude_code_cost_usage_USD_total` | Counter | `user_email`, `organization_id`, `model`, `marlin_git_repo` | Estimated cost in USD |\r\n| `claude_code_active_time_seconds_total` | Counter | `user_email`, `organization_id`, `type`, `marlin_git_repo` | Active time (cli/user) |\r\n| `claude_code_lines_of_code_count_total` | Counter | `user_email`, `organization_id`, `type`, `marlin_git_repo` | Lines added/removed |\r\n| `claude_code_commit_count_total` | Counter | `user_email`, `organization_id`, `marlin_git_repo` | Git commits created |\r\n| `claude_code_pull_request_count_total` | Counter | `user_email`, `organization_id`, `marlin_git_repo` | PRs created |\r\n| `claude_code_code_edit_tool_decision_total` | Counter | `user_email`, `organization_id`, `decision`, `language`, `marlin_git_repo` | Tool accept/reject |\r\n\r\n### Label Reference\r\n\r\n| Label | Description | Example Values |\r\n|-------|-------------|----------------|\r\n| `user_email` | User's email address | `user@example.com` |\r\n| `organization_id` | Organization identifier | `org-123` |\r\n| `model` | Claude model used | `claude-opus-4-6`, `claude-haiku-4-5-20251001` |\r\n| `type` (tokens) | Token type | `input`, `output`, `cacheRead`, `cacheCreation` |\r\n| `type` (time) | Time type | `cli`, `user` |\r\n| `type` (loc) | Change type | `added`, `removed` |\r\n| `decision` | User decision | `accept`, `reject` |\r\n| `language` | Programming language | `Go`, `Python`, `JavaScript` |\r\n| `terminal_type` | Terminal/IDE type | `vscode`, `iTerm.app` |\r\n| `marlin_git_repo` | Git repository | `github.com/org/repo`, `no-remote` |\r\n\r\n## Installation\r\n\r\n### Option 1: Import from Grafana.com\r\n\r\n1. Go to your Grafana instance\r\n2. Navigate to **Dashboards** > **Import**\r\n3. Enter the dashboard ID: `XXXXX` (will be assigned after publishing)\r\n4. Select your Prometheus-compatible datasource\r\n5. Click **Import**\r\n\r\n### Option 2: Import JSON\r\n\r\n1. Download `cc_metrics.json` from this repository\r\n2. Go to your Grafana instance\r\n3. Navigate to **Dashboards** > **Import**\r\n4. Click **Upload JSON file** and select the downloaded file\r\n5. Select your Prometheus-compatible datasource\r\n6. Click **Import**\r\n\r\n### Option 3: Using Grafana Provisioning\r\n\r\nAdd the dashboard to your provisioning configuration:\r\n\r\n```yaml\r\n# /etc/grafana/provisioning/dashboards/claude-code.yaml\r\napiVersion: 1\r\nproviders:\r\n  - name: 'Claude Code'\r\n    orgId: 1\r\n    folder: 'Claude Code'\r\n    type: file\r\n    disableDeletion: false\r\n    editable: true\r\n    options:\r\n      path: /var/lib/grafana/dashboards/claude-code\r\n```\r\n\r\nThen place `cc_metrics.json` in `/var/lib/grafana/dashboards/claude-code/`.\r\n\r\n## Configuration\r\n\r\n### Variables\r\n\r\nThe dashboard includes the following template variables:\r\n\r\n| Variable | Description | Default |\r\n|----------|-------------|---------|\r\n| `DS_PROMETHEUS` | Prometheus-compatible datasource | (select on import) |\r\n| `organization` | Filter by organization ID | All |\r\n| `user` | Filter by user email | All |\r\n| `model` | Filter by Claude model | All |\r\n| `repo` | Filter by git repository | All |\r\n\r\n### Customization\r\n\r\n- **Time Range**: Default is last 7 days, adjustable via time picker\r\n- **Refresh Interval**: Default 30 seconds, adjustable via refresh dropdown\r\n- **Thresholds**: Cost thresholds can be customized in panel settings\r\n\r\n## Dashboard Sections\r\n\r\n### 1. Overview Row\r\nQuick stats showing sessions, users, cost, tokens, commits, PRs, and lines of code.\r\n\r\n### 2. Cost & Tokens\r\n- Cost over time (hourly rate)\r\n- Cost breakdown by model\r\n- Token usage by type (stacked)\r\n- Token usage by model\r\n\r\n### 3. Activity & Productivity\r\n- Sessions over time\r\n- Active time (CLI vs user interaction)\r\n- Lines of code (added vs removed)\r\n- Tool decisions (accept vs reject)\r\n\r\n### 4. Leaderboards\r\n- Top users by cost\r\n- Top users by tokens\r\n- Top repositories by cost\r\n- Cost distribution by model (pie chart)\r\n- Tool usage by language (pie chart)\r\n- Sessions by terminal type (pie chart)\r\n\r\n## Metrics Collection Setup\r\n\r\nTo collect these metrics, you need to configure Claude Code to send telemetry to your metrics backend. See the [Claude Code documentation](https://docs.anthropic.com/en/docs/claude-code) for setup instructions.\r\n\r\n### Example: Using Marlin LLM Gateway\r\n\r\nIf you're using [Marlin](https://github.com/dreamplug-tech/marlin) as your LLM gateway, metrics are automatically collected and exposed in Prometheus format.\r\n\r\n## Contributing\r\n\r\nContributions are welcome! Please open an issue or pull request on GitHub.\r\n\r\n## License\r\n\r\nThis dashboard is released under the MIT License.\r\n\r\n## Changelog\r\n\r\n### v1.0.0 (2026-03-11)\r\n- Initial public release\r\n- Overview, Cost & Tokens, Activity & Productivity, Leaderboards sections\r\n- Support for Prometheus-compatible datasources\r\n- Template variables for filtering\r\n\r\n## Support\r\n\r\n- **Issues**: [GitHub Issues](https://github.com/dreamplug-tech/marlin/issues)\r\n- **Documentation**: [Claude Code Docs](https://docs.anthropic.com/en/docs/claude-code)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-03-10T22:17:23.000Z","updatedAt":"2026-03-10T22:18:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24993"},{"rel":"revisions","href":"/dashboards/24993/revisions"},{"rel":"revision","href":"/dashboards/24993/revisions/1"},{"rel":"download","href":"/dashboards/24993/revisions/1/download"},{"rel":"org","href":"/orgs/shashwatsaxena"},{"rel":"images","href":"/dashboards/24993/images"},{"rel":"thumbnails","href":"/dashboards/24993/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25255,"status":1,"statusCode":"active","orgId":1752526,"orgSlug":"rockdarko","orgName":"rockdarko","slug":"claude-code-metrics-prometheus","downloads":98,"revisionId":40746,"revision":6,"name":"Claude Code Metrics (Prometheus)","description":"Claude Code usage analytics on Prometheus: cost, token consumption, sessions, active coding time, lines of code, commits, pull requests, tool decisions, cache hit ratio, and leaderboards by user, model, and session. Consumes Anthropic's OpenTelemetry metrics via OTLP. Works with Prometheus, VictoriaMetrics, Mimir, and Thanos. Requires Grafana 11+. Source repository: https://github.com/rockdarko/claude-code-metrics-prometheus","readme":"# Claude Code Metrics (Prometheus)\r\n\r\nA Grafana dashboard for monitoring [Claude Code](https://www.claude.com/product/claude-code) CLI usage on Prometheus-compatible backends. Consumes Claude Code's OpenTelemetry metrics (emitted via OTLP) and queries them with PromQL. Compatible with Prometheus, VictoriaMetrics, Mimir, and Thanos.\r\n\r\n> **Source repository, issue tracker, and updates:** https://github.com/rockdarko/claude-code-metrics-prometheus\r\n>\r\n> **Inspired by** [dashboard 25052 by 1w2w3y](https://grafana.com/grafana/dashboards/25052-claude-code/), which targets Azure Application Insights via KQL. This is a parallel implementation for the Prometheus stack — every panel re-queried in PromQL against Anthropic's published OpenTelemetry metric names.\r\n\r\n## What's in it\r\n\r\n**Overview** — at-a-glance KPIs: sessions, users, total cost, total tokens, commits, pull requests, lines added/removed, active time, tokens by type, and tool decisions.\r\n\r\n**Leaderboards** — top users by cost and tokens, top sessions by cost, cost by model, edit decisions by language, and sessions by terminal.\r\n\r\n**Cost & Tokens** — cost over time (overall and by model) and token usage over time (by type and by model).\r\n\r\n**Activity & Productivity** — active time per hour, lines of code per hour, and tool decisions over time.\r\n\r\n**Cost Breakdown** — cost by query source, cost by effort, and cache hit ratio.\r\n\r\nThe dashboard uses three header variables — `organization`, `user`, and `model` — for filtering. Default time range is the last 7 days.\r\n\r\n## Requirements\r\n\r\n- Grafana 11+\r\n- A Prometheus-compatible data source: Prometheus, VictoriaMetrics, Mimir, or Thanos\r\n- Claude Code with OpenTelemetry telemetry enabled, with metrics routed into your Prometheus-compatible backend\r\n\r\n## How metrics are collected\r\n\r\nThis dashboard expects the standard \"OTel Collector in the middle\" pipeline:\r\n\r\n```\r\nClaude Code  →  OTLP  →  OTel Collector  →  /metrics  →  Prometheus  →  dashboard\r\n```\r\n\r\nIf you already run an OTel Collector and Prometheus, you mostly need to (1) tell Claude Code where to send OTLP, (2) add a Prometheus exporter to your Collector, and (3) add a scrape job to Prometheus.\r\n\r\n### 1. Configure Claude Code to emit telemetry\r\n\r\nSet these in your shell environment (or in `~/.claude/settings.json` under `env`):\r\n\r\n```bash\r\n# Enable telemetry\r\nexport CLAUDE_CODE_ENABLE_TELEMETRY=1\r\n\r\n# Where to send OTLP. Use the HTTP receiver port (4318) for easier\r\n# debugging; gRPC (4317) works equally well.\r\nexport OTEL_EXPORTER_OTLP_ENDPOINT=\"http://your-collector:4318\"\r\n\r\n# Recommended: pin temporality to cumulative. Prometheus-family backends\r\n# require cumulative counters. The OpenTelemetry SDK currently defaults to\r\n# cumulative, but defaults can drift between SDK versions — being explicit\r\n# avoids silent breakage on upgrades.\r\nexport OTEL_EXPORTER_OTLP_METRICS_TEMPORALITY_PREFERENCE=cumulative\r\n```\r\n\r\nFor full details on Claude Code's telemetry options, see [Anthropic's monitoring documentation](https://docs.claude.com/en/docs/claude-code/monitoring-usage).\r\n\r\n### 2. Configure the OTel Collector\r\n\r\nA minimal Collector configuration that accepts OTLP from Claude Code and exposes a Prometheus `/metrics` endpoint:\r\n\r\n```yaml\r\nreceivers:\r\n  otlp:\r\n    protocols:\r\n      http:\r\n        endpoint: \"0.0.0.0:4318\"\r\n      grpc:\r\n        endpoint: \"0.0.0.0:4317\"\r\n\r\nprocessors:\r\n  batch/metrics:\r\n    timeout: 5s\r\n    send_batch_size: 128\r\n    send_batch_max_size: 256\r\n\r\nexporters:\r\n  prometheus:\r\n    endpoint: \"0.0.0.0:9464\"\r\n    # Promotes OpenTelemetry resource attributes to Prometheus labels.\r\n    resource_to_telemetry_conversion:\r\n      enabled: true\r\n    # Preserves original OTel timestamps rather than ingest time.\r\n    send_timestamps: true\r\n\r\nservice:\r\n  pipelines:\r\n    metrics:\r\n      receivers: [otlp]\r\n      processors: [batch/metrics]\r\n      exporters: [prometheus]\r\n```\r\n\r\nIf you already run a Collector with other pipelines (traces, logs), add the `otlp` receiver and `prometheus` exporter to it; you don't need a separate Collector.\r\n\r\n### 3. Configure Prometheus to scrape the Collector\r\n\r\nAdd a scrape job pointing at the Collector's Prometheus exporter port (default `:9464`):\r\n\r\n```yaml\r\nscrape_configs:\r\n  - job_name: claude-code-metrics\r\n    scrape_interval: 30s\r\n    static_configs:\r\n      - targets:\r\n          - \"otel-collector:9464\"   # ← replace with your Collector's host:port\r\n```\r\n\r\nVictoriaMetrics, Grafana Mimir, and Thanos all accept the same scrape job configuration in their scraper components (`vmagent`, distributor with `--web.enable-otlp-receiver`, etc.).\r\n\r\n## Metrics consumed\r\n\r\nThe dashboard queries the following metric names emitted by Claude Code:\r\n\r\n- `claude_code_session_count_total`\r\n- `claude_code_token_usage_tokens_total`\r\n- `claude_code_cost_usage_USD_total`\r\n- `claude_code_active_time_seconds_total`\r\n- `claude_code_lines_of_code_count_total`\r\n- `claude_code_commit_count_total`\r\n- `claude_code_pull_request_count_total`\r\n- `claude_code_code_edit_tool_decision_total`\r\n\r\nFilter labels used: `organization_id`, `user_email`, `model`, `session_id`, `terminal_type`, `type` (token type), `language` (file language), `decision`, `query_source`, `effort`.\r\n\r\n## Troubleshooting\r\n\r\n**No data anywhere.** Verify the full pipeline by checking each hop:\r\n\r\n1. Is Claude Code emitting? Run any Claude Code command, then `curl http://your-collector:9464/metrics | grep claude_code_` — you should see Claude Code's metric series listed.\r\n2. Is Prometheus scraping? In Prometheus, go to *Status → Targets* and confirm the `claude-code-metrics` (or whatever you named it) job is `UP`.\r\n3. Are queries finding data? In Grafana *Explore*, select your Prometheus data source and query `claude_code_session_count_total` — values should appear.\r\n\r\n**Some panels show data but `Sessions by Terminal` (or other panels using `count` aggregations) is empty.** Check that your Collector's `prometheus` exporter has `resource_to_telemetry_conversion: enabled: true` set (see the example config). Without it, some attribute-derived labels may not be exposed.\r\n\r\n**Counters look wrong (negative rates, jumps to zero).** Likely a temporality mismatch — Claude Code emitting delta metrics into a cumulative-expecting backend. Set `OTEL_EXPORTER_OTLP_METRICS_TEMPORALITY_PREFERENCE=cumulative` in Claude Code's environment.\r\n\r\n**`Pull Requests = 0` even though I've made PRs.** Claude Code only emits the PR counter when *Claude Code itself* opens the PR (e.g., via the `gh` CLI inside a Claude Code session). PRs you open manually outside Claude Code don't count.\r\n\r\n**Cost numbers don't match my Anthropic billing dashboard.** Claude Code's cost metric is computed client-side from token counts and published model prices, so it's an estimate. It will be close to billing but not identical, particularly across pricing changes or for cached tokens that get billed differently than the local estimate assumes.\r\n\r\n## Credits\r\n\r\nOriginal dashboard concept and panel set: [grafana.com dashboard 25052](https://grafana.com/grafana/dashboards/25052-claude-code/) by [1w2w3y](https://github.com/1w2w3y), targeting Azure Application Insights.\r\n\r\nThis Prometheus port: [@rockdarko](https://github.com/rockdarko).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-05-04T17:08:09.000Z","updatedAt":"2026-05-13T19:20:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25255"},{"rel":"revisions","href":"/dashboards/25255/revisions"},{"rel":"revision","href":"/dashboards/25255/revisions/6"},{"rel":"download","href":"/dashboards/25255/revisions/6/download"},{"rel":"org","href":"/orgs/rockdarko"},{"rel":"images","href":"/dashboards/25255/images"},{"rel":"thumbnails","href":"/dashboards/25255/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20064,"status":1,"statusCode":"active","orgId":999058,"orgSlug":"claudieproject","orgName":"Claudie","slug":"claudie-dashboard","downloads":585,"revisionId":38807,"revision":2,"name":"Claudie Dashboard","description":"","readme":"A dedicated dashboard for the [Claudie open-source project](https://github.com/berops/claudie) that display basic information about:\r\n- Number of managed K8s clusters created by Claudie\r\n- Number of managed LoadBalancer clusters created by Claudie\r\n- Currently added/deleted nodes to/from K8s/LB cluster\r\n- Information about gRPC requests\r\n- and much more\r\n\r\n## Installation\r\n1. Install [Claudie](https://docs.claudie.io/latest/getting-started/get-started-using-claudie/)\r\n2. Import the dashboard\r\n3. Create an RBAC that allows Prometheus to scrape metrics from Claudie's pods\r\n```\r\napiVersion: rbac.authorization.k8s.io/v1\r\nkind: Role\r\nmetadata:\r\n  name: claudie-pod-reader\r\n  namespace: claudie\r\nrules:\r\n- apiGroups: [\"\"]\r\n  resources: [\"pods\"]\r\n  verbs: [\"get\", \"list\"]\r\n---\r\napiVersion: rbac.authorization.k8s.io/v1\r\nkind: RoleBinding\r\nmetadata:\r\n  name: claudie-pod-reader-binding\r\n  namespace: claudie\r\nsubjects:\r\n# this SA is created by https://github.com/prometheus-operator/kube-prometheus\r\n# in your case you might need to bind this Role to a different SA\r\n- kind: ServiceAccount\r\n  name: prometheus-k8s\r\n  namespace: monitoring\r\nroleRef:\r\n  kind: Role\r\n  name: claudie-pod-reader\r\n  apiGroup: rbac.authorization.k8s.io\r\n```\r\n4. Create Prometheus PodMonitor to scrape metrics from Claudie's pods\r\n```\r\napiVersion: monitoring.coreos.com/v1\r\nkind: PodMonitor\r\nmetadata:\r\n  name: claudie-metrics\r\n  namespace: monitoring\r\n  labels:\r\n    name: claudie-metrics\r\nspec:\r\n  namespaceSelector:\r\n    matchNames:\r\n      - claudie\r\n  selector:\r\n    matchLabels:\r\n      app.kubernetes.io/part-of: claudie\r\n  podMetricsEndpoints:\r\n  - port: metrics\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-11-29T09:27:57.000Z","updatedAt":"2025-10-28T14:36:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20064"},{"rel":"revisions","href":"/dashboards/20064/revisions"},{"rel":"revision","href":"/dashboards/20064/revisions/2"},{"rel":"download","href":"/dashboards/20064/revisions/2/download"},{"rel":"org","href":"/orgs/claudieproject"},{"rel":"images","href":"/dashboards/20064/images"},{"rel":"thumbnails","href":"/dashboards/20064/thumbnails"}]},{"id":882,"status":1,"statusCode":"active","orgId":32127,"orgSlug":"f1yegor","orgName":"f1yegor","slug":"clickhouse","downloads":11762,"revisionId":1272,"revision":1,"name":"Clickhouse","description":"Clickhouse metrics","readme":"Used exporter https://github.com/f1yegor/clickhouse_exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-11-17T21:05:07.000Z","updatedAt":"2016-11-17T21:24:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/882"},{"rel":"revisions","href":"/dashboards/882/revisions"},{"rel":"revision","href":"/dashboards/882/revisions/1"},{"rel":"download","href":"/dashboards/882/revisions/1/download"},{"rel":"org","href":"/orgs/f1yegor"},{"rel":"images","href":"/dashboards/882/images"},{"rel":"thumbnails","href":"/dashboards/882/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14192,"status":1,"statusCode":"active","orgId":478533,"orgSlug":"weastur","orgName":"weastur","slug":"clickhouse","downloads":57258,"revisionId":20943,"revision":4,"name":"ClickHouse","description":"ClickHouse internal exporter metrics","readme":"# ClickHouse\r\n\r\nClickHouse overview dashboard for internal exporter. [You can contribute here](https://github.com/weastur/grafana-dashboards)\r\n\r\n## Requirements (tested, but may work on older versions too)\r\n\r\n1. Grafana - 7 and up\r\n1. ClickHouse - 21.3.4.25-lts and up\r\n1. Prometheus\r\n1. ClickHouse internal exporter ([how to](https://clickhouse.tech/docs/en/operations/server-configuration-parameters/settings/#server_configuration_parameters-prometheus))\r\n\r\n## Features\r\n\r\n1. Info for: Queries (plus Select/Insert details), IO, Replicas, Merges, Zookeeper, Cache, Parts, Distributed tables, Background task pools\r\n1. Show both trends and peaks (configurable)\r\n1. `max_over_time` + PromQL subqueries to get all peaks\r\n1. `$__rate_interval` to correct rate calc between points\r\n1. `Max data points` set to 200 for all graph panel\r\n1. Table with overall info for selected instances\r\n1. Annotation for restart event\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-04-06T19:47:04.000Z","updatedAt":"2021-04-15T18:35:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14192"},{"rel":"revisions","href":"/dashboards/14192/revisions"},{"rel":"revision","href":"/dashboards/14192/revisions/4"},{"rel":"download","href":"/dashboards/14192/revisions/4/download"},{"rel":"org","href":"/orgs/weastur"},{"rel":"images","href":"/dashboards/14192/images"},{"rel":"thumbnails","href":"/dashboards/14192/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12260,"status":1,"statusCode":"active","orgId":380791,"orgSlug":"wcwloveit","orgName":"wcwloveit","slug":"clickhouse","downloads":942,"revisionId":17493,"revision":1,"name":"Clickhouse","description":"Clickhouse metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-05-09T17:17:34.000Z","updatedAt":"2020-05-09T17:17:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12260"},{"rel":"revisions","href":"/dashboards/12260/revisions"},{"rel":"revision","href":"/dashboards/12260/revisions/1"},{"rel":"download","href":"/dashboards/12260/revisions/1/download"},{"rel":"org","href":"/orgs/wcwloveit"},{"rel":"images","href":"/dashboards/12260/images"},{"rel":"thumbnails","href":"/dashboards/12260/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14719,"status":1,"statusCode":"active","orgId":361889,"orgSlug":"zhe700","orgName":"Евгений Кузнецов","slug":"clickhouse-anal","downloads":1335,"revisionId":25274,"revision":4,"name":"ClickHouse ANAL","description":"add new views","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Altinity plugin for ClickHouse","privacy":"public","createdAt":"2021-07-13T14:48:59.000Z","updatedAt":"2022-07-07T09:10:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/14719"},{"rel":"revisions","href":"/dashboards/14719/revisions"},{"rel":"revision","href":"/dashboards/14719/revisions/4"},{"rel":"download","href":"/dashboards/14719/revisions/4/download"},{"rel":"org","href":"/orgs/zhe700"},{"rel":"images","href":"/dashboards/14719/images"},{"rel":"thumbnails","href":"/dashboards/14719/thumbnails"}],"datasourceSlugs":["vertamedia-clickhouse-datasource"]},{"id":23285,"status":1,"statusCode":"active","orgId":1406815,"orgSlug":"vicowu1989","orgName":"vicowu1989","slug":"clickhouse-and-keeper-comprehensive-dashboard","downloads":5785,"revisionId":36922,"revision":1,"name":"ClickHouse and Keeper Comprehensive Dashboard","description":"ClickHouse internal exporter metrics","readme":"ClickHouse and Keeper Comprehensive Dashboard\r\n\r\n✅  Overview\r\n- This dashboard is designed to monitor and visualize ClickHouse server metrics, using Prometheus as the data source. \r\n- It leverages ClickHouse’s internal /metrics endpoint to provide deep insights into system health, resource usage, and storage status.\r\n\r\n✅ Key Features:\r\n - Cluster Overview\r\n    - Displays node state, version, uptime, number of tables and databases.\r\n    - Shows whether nodes are in read-only replica mode and Kafka consumer counts.\r\n\r\n\r\n- Resource Monitoring\r\n    - Tracks CPU and memory usage at both ClickHouse process and OS levels.\r\n    - Includes charts for system memory buffers, cache, and available memory.\r\n\r\n\r\n- Disk Usage Insights\r\n    - Visualizes total, used, available, and unreserved disk space for each mount point.\r\n    - Includes trends in disk usage over time (daily and per-10-minute deltas).\r\n\r\n\r\n- Real-Time Visualization\r\n    - Interactive time range and instance filtering.\r\n    - Supports multiple visual types: Table, Gauge, Graph, and Timeseries panels.\r\n\r\n\r\n- Highly Extensible\r\n    - Uses template variables like ${Cluster}, ${Instance}, and ${datasource} to support mulati-cluster setups.\r\n    - Modular and portable—easy to deploy across environments.\r\n\r\n\r\n- Quick Links\r\n  - External links to the ClickHouse metrics page, documentation, and optional internal wikis for metric explanations.\r\n\r\n\r\n- Compatibility\r\n    - Built with Grafana 9.1.4, compatible with Prometheus and ClickHouse /metrics endpoints.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-18T14:16:33.000Z","updatedAt":"2025-04-19T03:34:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23285"},{"rel":"revisions","href":"/dashboards/23285/revisions"},{"rel":"revision","href":"/dashboards/23285/revisions/1"},{"rel":"download","href":"/dashboards/23285/revisions/1/download"},{"rel":"org","href":"/orgs/vicowu1989"},{"rel":"images","href":"/dashboards/23285/images"},{"rel":"thumbnails","href":"/dashboards/23285/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13500,"status":1,"statusCode":"active","orgId":442763,"orgSlug":"tut","orgName":"tut","slug":"clickhouse-internal-exporter","downloads":8220,"revisionId":19717,"revision":1,"name":"Clickhouse internal exporter","description":"Clickhouse metrics for internal (embedded, <prometheus>) exporter","readme":"Clickhouse metrics for internal (embedded, <prometheus>) exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-12-02T21:41:43.000Z","updatedAt":"2020-12-02T21:51:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13500"},{"rel":"revisions","href":"/dashboards/13500/revisions"},{"rel":"revision","href":"/dashboards/13500/revisions/1"},{"rel":"download","href":"/dashboards/13500/revisions/1/download"},{"rel":"org","href":"/orgs/tut"},{"rel":"images","href":"/dashboards/13500/images"},{"rel":"thumbnails","href":"/dashboards/13500/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19270,"status":1,"statusCode":"active","orgId":912946,"orgSlug":"maksimall89","orgName":"maksimall89","slug":"clickhouse-load-testing-results","downloads":447,"revisionId":29547,"revision":1,"name":"Clickhouse Load Testing Results k6.io","description":"A dashboard for visualizing results from the k6.io load testing tool, using the ClickHouse exporter","readme":"The dashboard to visualize load testing results of the [k6](https://k6.io/) load testing tool. For work use [xk6-output-clickhouse plugin ](https://github.com/Maksimall89/xk6-output-clickhouse).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"grafana-clickhouse-datasource","privacy":"public","createdAt":"2023-08-01T17:50:44.000Z","updatedAt":"2023-08-01T18:04:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19270"},{"rel":"revisions","href":"/dashboards/19270/revisions"},{"rel":"revision","href":"/dashboards/19270/revisions/1"},{"rel":"download","href":"/dashboards/19270/revisions/1/download"},{"rel":"org","href":"/orgs/maksimall89"},{"rel":"images","href":"/dashboards/19270/images"},{"rel":"thumbnails","href":"/dashboards/19270/thumbnails"}],"datasourceSlugs":["clickhouse"]},{"id":16685,"status":1,"statusCode":"active","orgId":605597,"orgSlug":"lop2lop","orgName":"Mohammad_Rhz","slug":"clickhouse-memory-analysis","downloads":24253,"revisionId":25540,"revision":1,"name":"Clickhouse Memory Analysis","description":"ClickHouse Memory Analysis using Prometheus","readme":"# ClickHouse Memory Analysis using Prometheus\r\n\r\n* **OS Memory**\r\n* **ClickHouse Memory**\r\n* **jemacloc**\r\n* **Support multiple nodes (Cluster)**\r\n\r\n```*  Tested on ClickHouse v.22.7.2.15 and Prometheus v.2.37.0  *```\r\n\r\nMight also work on older versions","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-08-06T16:18:25.000Z","updatedAt":"2022-08-06T16:49:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16685"},{"rel":"revisions","href":"/dashboards/16685/revisions"},{"rel":"revision","href":"/dashboards/16685/revisions/1"},{"rel":"download","href":"/dashboards/16685/revisions/1/download"},{"rel":"org","href":"/orgs/lop2lop"},{"rel":"images","href":"/dashboards/16685/images"},{"rel":"thumbnails","href":"/dashboards/16685/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":869,"status":1,"statusCode":"active","orgId":28508,"orgSlug":"hagen","orgName":"hagen","slug":"clickhouse-overview","downloads":2643,"revisionId":1259,"revision":1,"name":"ClickHouse overview","description":"ClickHouse Database dashboard based on Prometheus","readme":"ClickHouse is a modern and free analytic DBMS for big data. ClickHouse manages extremely large volumes of data in a stable and sustainable manner. It currently powers Yandex.Metrica, world’s second largest web analytics platform, with over 13 trillion database records and over 20 billion events a day, generating customized reports on-the-fly, directly from non-aggregated data.\r\nIt is available at https://clickhouse.yandex/\r\n\r\nDashboard allow to monitor:\r\n- total qps based on query execution\r\n- cache hits/miss rate graph\r\n- number of active connections\r\n- bytes merged/allocated rate\r\n\r\n\r\nThe author assumes that the metrics are scraped from various hosts and databases. That's why there are placed two templates: $host and $db. Remember to adjust templates for your needs at \"/dashboard/db/<your-dashboard>?editview=templating\". Graphs would change accordingly to selected value.\r\n\r\nMetrics based on system ClickHouse tables: events and metrics.\r\n\r\nRequirements: Dashboard is based on the https://github.com/roistat/go-clickhouse metrics","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-11-17T09:06:39.000Z","updatedAt":"2016-11-17T09:22:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/869"},{"rel":"revisions","href":"/dashboards/869/revisions"},{"rel":"revision","href":"/dashboards/869/revisions/1"},{"rel":"download","href":"/dashboards/869/revisions/1/download"},{"rel":"org","href":"/orgs/hagen"},{"rel":"images","href":"/dashboards/869/images"},{"rel":"thumbnails","href":"/dashboards/869/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13606,"status":1,"statusCode":"active","orgId":447293,"orgSlug":"alex601049502","orgName":"Peng.Zhao","slug":"clickhouse-performance-monitor-xm-uat","downloads":9814,"revisionId":20672,"revision":4,"name":"ClickHouse Performance Monitor","description":"ClickHouse Performance Monitor","readme":"# ClickHouse Version\nThe Dashboard  is available for ClickHouse v20.8.7.Other versions are not guaranteed to fit.\n\n# Features\n* Memory Used Info (Since v1.0)\n* QPS and Fail QPS (Since v1.0)\n* Write Rows Per Second and Write Bytes Per Second (Since v1.0)\n* Merged Row Per Second and Merged Uncompressed Bytes Per Second (Since v1.0)\n* HTTP Connection and TCP Connection (Since v1.0)\n* CPU Wait Time and IO Wait Time and Zookeeper Wait Time (Since v1.0)\n* Disk Space Used (Since v1.0)\n* Dictionaries Info (Since v1.0)\n* Table Info (Since v1.0)\n* Query Log Info (Since v3.0)\n* Replica Info (Since v3.0)\n* Part Info (Since v3.0)\n\n# Dashboard Version Desc\n* v1.0 metrics monitoring granularity is second.\n* v2.0 metrics monitoring granularity is minuter,the acquisition is in seconds and the display is averaged in minutes.\n* v3.0 is an extension to dashboard 2515 and v2.0.More information was added to the query information to help analyze the slow log problem.\n* v4.0 fix some bugs about unit.\n\n```If you don't care about query information and only care about CK performance status, v2.0 is recommended.```\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Altinity plugin for ClickHouse","privacy":"public","createdAt":"2020-12-18T01:55:19.000Z","updatedAt":"2021-03-22T01:49:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":5,"reviewsAvgRating":4.2,"links":[{"rel":"self","href":"/dashboards/13606"},{"rel":"revisions","href":"/dashboards/13606/revisions"},{"rel":"revision","href":"/dashboards/13606/revisions/4"},{"rel":"download","href":"/dashboards/13606/revisions/4/download"},{"rel":"org","href":"/orgs/alex601049502"},{"rel":"images","href":"/dashboards/13606/images"},{"rel":"thumbnails","href":"/dashboards/13606/thumbnails"}],"datasourceSlugs":["vertamedia-clickhouse-datasource"]},{"id":2515,"status":1,"statusCode":"active","orgId":28508,"orgSlug":"hagen","orgName":"hagen","slug":"clickhouse-queries","downloads":8118,"revisionId":3385,"revision":2,"name":"ClickHouse Queries","description":"Helps to visualize most frequent, slowest, failed queries.\r\nShows queries rate per second, table with last queries","readme":"Dashboard based on information from ClickHouse system table `system.query_log`.  \r\nTemplate variables:\r\n* type - type of the query, documented in dashboard\r\n* top elements - number of elements to display; for example: top 5 or top 10\r\n* initial user - user who initiated query execution\r\n* query type - select or insert\r\n\r\nCharts:\r\n* Graph Top queries rate - graph shows top executed queries per second\r\n* Top slow queries -  table shows slowest queries\r\n* Top memory consumers queries -  table shows most memory expensive queries\r\n* Top failed queries -  table shows failed queries ordered by count\r\n* Request charts - two graphs shows queries-per-second rate and query duration\r\n* Query log table - shows last executed queries\r\n\r\n### How to install\r\nTo enable ClickHouse query logging you will need to add `<log_queries>1</log_queries>` param into  <profile> section to your user configuration section. For example:\r\n```\r\n  <!-- Profiles of settings. -->\r\n    <profiles>\r\n        <!-- Default settings. -->\r\n        <default>\r\n             <log_queries>1</log_queries>\r\n```\r\nAfter this, ClickHouse should create table system.query_log.\r\n> Important: CH do not log values for insert queries\r\n\r\nTo query data from ClickHouse use https://grafana.com/plugins/vertamedia-clickhouse-datasource\r\n\r\nIf you need to show queries from ClickHouse cluster - create distributed table. For example:\r\n```\r\nCREATE TABLE system.query_log_all AS system.query_log ENGINE = Distributed(<your_cluster_name>, system, query_log);\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Altinity plugin for ClickHouse","privacy":"public","createdAt":"2017-06-23T09:36:10.000Z","updatedAt":"2017-06-23T10:12:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/2515"},{"rel":"revisions","href":"/dashboards/2515/revisions"},{"rel":"revision","href":"/dashboards/2515/revisions/2"},{"rel":"download","href":"/dashboards/2515/revisions/2/download"},{"rel":"org","href":"/orgs/hagen"},{"rel":"images","href":"/dashboards/2515/images"},{"rel":"thumbnails","href":"/dashboards/2515/thumbnails"}],"datasourceSlugs":["vertamedia-clickhouse-datasource"]},{"id":13334,"status":1,"statusCode":"active","orgId":310320,"orgSlug":"brain4monkey","orgName":"brain4monkey","slug":"clickhouse-state","downloads":2416,"revisionId":19382,"revision":3,"name":"Clickhouse State","description":"Clickhouse dashboard. Data for dashboard is fetched from Clickhouse system tables. \n\nUseful for single-node installations of Clickhouse.\nTested version of ch - 20.9.2.20.","readme":"Installation:\n- Install the dahsboard\n- Create user `grafana` in ch\n- Grant permissions for this user\n- Enable table text_log in `/etc/clickhouse-server/config.xml`\n- Create notification channel for telegram, if needed","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Altinity plugin for ClickHouse","privacy":"public","createdAt":"2020-11-04T09:04:37.000Z","updatedAt":"2020-11-04T11:31:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13334"},{"rel":"revisions","href":"/dashboards/13334/revisions"},{"rel":"revision","href":"/dashboards/13334/revisions/3"},{"rel":"download","href":"/dashboards/13334/revisions/3/download"},{"rel":"org","href":"/orgs/brain4monkey"},{"rel":"images","href":"/dashboards/13334/images"},{"rel":"thumbnails","href":"/dashboards/13334/thumbnails"}],"datasourceSlugs":["vertamedia-clickhouse-datasource"]},{"id":23589,"status":1,"statusCode":"active","orgId":1464172,"orgSlug":"ivmaks","orgName":"ivmaks","slug":"clickhouse-system-table-info","downloads":904,"revisionId":37554,"revision":1,"name":"ClickHouse system table info","description":"This Grafana dashboard provides real-time insights into ClickHouse performance and resource utilization by querying system tables","readme":"This Grafana dashboard provides real-time insights into ClickHouse performance and resource utilization by querying system tables. 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Install the plugin by going to \"Connections\" -> \"Add New Connection\" and search for infinity. \r\n\r\nAdd new infinity datasource and configure as below:\r\n- Get a Cloudflare api key, follow this [link](https://developers.cloudflare.com/analytics/graphql-api/getting-started/authentication/api-token-auth/) for guide. For token permission, choose Zone, analytics, read. \r\n- In infinity configuration, choose \"Authentication\" -> \"Bearer Token\" and paste the token from Cloudflare.\r\n- In \"Security\" -> \"Allowed Hosts\", add `https://api.cloudflare.com/client/v4/graphql` and `https://api.cloudflare.com/client/v4/user/tokens/verify`\r\n- (Optional) In \"Healthcheck\", check enable, enter `https://api.cloudflare.com/client/v4/user/tokens/verify` as url\r\n\r\nProceed to import the dashboard\r\n- Select the configured infinity datasource \r\n- Enter the zone id in the text box for the zone you wish to monitor \r\n- For guide on how to get zone id, refer this [link](https://developers.cloudflare.com/fundamentals/setup/find-account-and-zone-ids/)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Infinity","privacy":"public","createdAt":"2024-12-24T16:47:47.000Z","updatedAt":"2024-12-25T03:33:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22568"},{"rel":"revisions","href":"/dashboards/22568/revisions"},{"rel":"revision","href":"/dashboards/22568/revisions/2"},{"rel":"download","href":"/dashboards/22568/revisions/2/download"},{"rel":"org","href":"/orgs/eynsfordcq"},{"rel":"images","href":"/dashboards/22568/images"},{"rel":"thumbnails","href":"/dashboards/22568/thumbnails"}],"datasourceSlugs":["yesoreyeram-infinity-datasource"]},{"id":22154,"status":1,"statusCode":"active","orgId":1244189,"orgSlug":"elhackernet","orgName":"elhackernet","slug":"cloudflare-firewall-analytics-influxql","downloads":284,"revisionId":34782,"revision":1,"name":"Cloudflare Firewall Analytics InfluxQL","description":"Cloudflare Firewall Analytics","readme":"Grafana Dashboard that shows Cloudflare Overviews and Analytics from the RESTful API\r\n\r\nDataSource InfluxDB must be InfluxQL not type Flux\r\n\r\nhttps://api.cloudflare.com/client/v4/graphql/\r\nfirewallEventsAdaptive\r\n\r\nBased on:\r\nhttps://github.com/MasterOfMalt/cloudflare-grafana","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-10-24T14:15:06.000Z","updatedAt":"2024-10-24T14:22:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22154"},{"rel":"revisions","href":"/dashboards/22154/revisions"},{"rel":"revision","href":"/dashboards/22154/revisions/1"},{"rel":"download","href":"/dashboards/22154/revisions/1/download"},{"rel":"org","href":"/orgs/elhackernet"},{"rel":"images","href":"/dashboards/22154/images"},{"rel":"thumbnails","href":"/dashboards/22154/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24873,"status":1,"statusCode":"active","orgId":490645,"orgSlug":"erfianugrah","orgName":"erfianugrah","slug":"cloudflare-logpush","downloads":39,"revisionId":39956,"revision":6,"name":"Cloudflare Logpush","description":"Cloudflare Logpush analytics - HTTP requests, firewall events, Workers trace events, SOC/security, performance","readme":"# Cloudflare Logpush Dashboard\n\nComprehensive analytics dashboard for Cloudflare Logpush data stored in Loki. **114 panels across 11 sections** covering HTTP traffic, cache performance, security/firewall events, API &amp; rate limiting, WAF attack analysis, threat intelligence, bot detection, request/response sizing, and Workers.\n\n8 template variable filters (zone, host, path, IP, country, JA4, ASN, colo) for deep drill-down. Every panel includes a description tooltip.\n\n## Requirements\n\n- **Grafana** 12.0+\n- **Loki** 3.3+ (required for `approx_topk`)\n- **Cloudflare** plan: Free or above (Logpush is available on all plans)\n- A log collector (Grafana Alloy, Promtail, etc.) receiving Logpush HTTP POST data\n\n## Sections\n\n### Overview (8 panels)\nTotal requests, 5xx error rate, cache hit ratio, firewall events, leaked credentials, high-risk WAF score, bot traffic %, worker errors.\n\n### HTTP Requests (22 panels)\nStatus codes (color-coded 2xx/3xx/4xx/5xx), request methods, protocols, request source (eyeball vs worker), top paths, bot user agents, error rate by path, edge pathing decisions, HTTP vs HTTPS, geomap (world map by country), requests by country and colo (top 10), top client ASNs with name resolution, device types, top referers, TLS versions/ciphers, origin SSL protocol, mTLS authentication, content scan results, orange-to-orange traffic.\n\n### Performance (13 panels)\nRequest lifecycle breakdown (stacked: Client-Edge RTT, Edge Processing, Edge-Origin), TTFB/origin/RTT percentiles (avg/p50/p75/p90/p95/p99), edge processing time, origin timing sub-components (DNS/TCP/TLS/headers), by-host and by-ASN breakdowns, origin error rate by IP, origin vs edge status mismatch.\n\n### Cache Performance (11 panels)\nCache status over time + pie chart, hit ratio trend, hit ratio by host (zone), hit ratio by path (top 10 using `approx_topk`), tiered cache fill rate, Cache Reserve usage, edge/cache response bytes, content type distribution, compression ratio, Argo Smart Routing usage.\n\n### Security &amp; Firewall (13 panels)\nFirewall events by action/source/host, top client IPs, top rules, firewall events geomap + country top 10, top attacked paths, top attacking user agents, top attacking ASNs, events by HTTP method, challenge solve rate, firewall action distribution pie.\n\n### API &amp; Rate Limiting (9 panels)\nRate limiting events by action, L7 DDoS mitigations, API Shield events (schema validation, JWT, sequence mitigation), Bot Management enforcement events, rate limited paths/IPs tables, security product coverage (all Source values), WAF rule types (managed vs custom vs legacy), IP/country/ASN access rules.\n\n### WAF Attack Analysis (6 panels)\nWAF attack score buckets (high/medium/low risk), attack type breakdown (SQLi/XSS/RCE at score &lt;= 20), unmitigated attacks table (low score + not blocked), security rule efficacy, security actions on HTTP requests, client IP classification.\n\n### Threat Intelligence (9 panels)\nLeaked credential check results, fraud detection signals, top talkers by IP, suspicious user agents (bot score &lt; 30), fraud detection tags/IDs, top client regions (subnational ISO 3166-2), firewall event request URIs (path + query string), geo anomaly on sensitive paths.\n\n### Bot Analysis (8 panels)\nBot score distribution (bot/possibly-bot/human), bot score source engine (ML/Heuristics/JS Fingerprinting), verified bot categories, JS detection pass/fail, bot tags distribution, bot detection tags detail, top JA4 TLS fingerprints, top JA3 hashes.\n\n### Request &amp; Response Size (6 panels)\nClient request bytes (avg/p95), edge response body bytes (avg/p95), largest uploads by path (&gt;10KB), largest responses by path (&gt;100KB), total bandwidth (inbound + outbound stacked), response size by host.\n\n### Workers (9 panels)\nWorker outcomes (ok/exception/exceeded), CPU time by script (avg/p95), wall time, invocations by script, script version tracking, subrequest count, event types (fetch/cron/alarm/queue), exceptions table, status by script.\n\n## Template Variables\n\n| Variable | Type | Description |\n|----------|------|-------------|\n| `zone` | Multi-select | Cloudflare zone name (domain). Filters HTTP requests by `ZoneName`, firewall events by `ClientRequestHost` regex match. |\n| `host` | Multi-select | FQDN hostname — more specific than zone for subdomains. |\n| `path` | Textbox | Request path regex (e.g. `/api/.*`). Default `.*` for all. |\n| `ip` | Textbox | Client IP regex. |\n| `country` | Multi-select | Client country — full 249-country list (ISO 3166-1 Alpha-2). |\n| `ja4` | Textbox | JA4 TLS fingerprint. |\n| `asn` | Textbox | Client ASN number. |\n| `colo` | Textbox | Edge colo code (IATA airport codes, e.g. `SIN\\|NRT\\|LAX`). |\n\nAfter import, edit the **Zone** and **Host** variables to add your own domain names.\n\n## Setup\n\n### 1. Set up a log receiver\n\nYou need an HTTP endpoint that receives Logpush data and writes to Loki. Example using Grafana Alloy:\n\n```alloy\nloki.source.api \"cloudflare\" {\n  http {\n    listen_address = \"0.0.0.0\"\n    listen_port    = 3500\n  }\n  labels = { job = \"cloudflare-logpush\" }\n  forward_to = [loki.process.cloudflare.receiver]\n}\n\nloki.process \"cloudflare\" {\n  stage.json { expressions = { dataset = \"_dataset\" } }\n  stage.labels { values = { dataset = \"dataset\" } }\n  forward_to = [loki.write.default.receiver]\n}\n\nloki.write \"default\" {\n  endpoint { url = \"http://loki:3100/loki/api/v1/push\" }\n}\n```\n\n### 2. Handle gzip decompression\n\nCloudflare Logpush always sends gzip-compressed payloads. Your reverse proxy must decompress before data reaches the log collector. Options:\n- **Traefik**: Use a decompress middleware plugin\n- **Nginx**: `gunzip on;`\n- **Caddy**: `encode` directive\n\n### 3. Create Cloudflare Logpush jobs\n\nCreate jobs for each dataset using the Cloudflare API or Terraform/OpenTofu. The critical piece is `output_options.record_prefix` which injects the dataset name:\n\n```json\n{\n  \"dataset\": \"http_requests\",\n  \"destination_conf\": \"https://your-endpoint/loki/api/v1/push?header_Content-Type=application/json\",\n  \"output_options\": {\n    \"field_names\": [\"EdgeStartTimestamp\"],\n    \"timestamp_format\": \"rfc3339\",\n    \"record_prefix\": \"{\\\"_dataset\\\":\\\"http_requests\\\",\",\n    \"record_suffix\": \"}\",\n    \"record_delimiter\": \"\\n\",\n    \"record_template\": \"{{record}}\"\n  }\n}\n```\n\nRepeat for `firewall_events` (with `\"_dataset\":\"firewall_events\"`) and optionally `workers_trace_events`.\n\n### 4. Configure Loki\n\nThe dashboard uses `approx_topk` for high-cardinality table panels. Add to your Loki config:\n\n```yaml\nfrontend:\n  encoding: protobuf\nquery_range:\n  shard_aggregations: approx_topk\n```\n\n**Important**: Loki does not watch its config file — restart after changes.\n\n### 5. Import this dashboard\n\nIn Grafana: **Dashboards &gt; New &gt; Import**, enter ID `24873`, and select your Loki datasource.\n\n## Performance Design\n\n- **Selective JSON parsing**: Queries parse only the fields needed per panel (`| json field1, field2`) instead of all ~72 fields. This is critical for Loki performance at scale.\n- **`approx_topk`**: High-cardinality table panels (paths, user agents, IPs, referers, fingerprints) use probabilistic top-k to avoid hitting the `max_query_series` limit.\n- **Filter variables**: All queries include filter clauses that act as no-ops when set to `.*` and narrow scans when set to specific values.\n\n## Troubleshooting\n\n- **\"maximum number of series (5000) reached\"**: Enable `approx_topk` in Loki config and restart Loki.\n- **No data**: Verify `{job=\"cloudflare-logpush\", dataset=\"http_requests\"} | json` returns logs in Explore.\n- **Slow panels**: Reduce the time range (6h default) or use template variable filters to narrow queries.\n\n## Source\n\n[GitHub Repository](https://github.com/erfianugrah/cloudflare-grafana-dashboards) — includes Python generator scripts for customization and detailed setup guide.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2026-02-14T14:46:16.000Z","updatedAt":"2026-02-17T09:00:14.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24873"},{"rel":"revisions","href":"/dashboards/24873/revisions"},{"rel":"revision","href":"/dashboards/24873/revisions/6"},{"rel":"download","href":"/dashboards/24873/revisions/6/download"},{"rel":"org","href":"/orgs/erfianugrah"},{"rel":"images","href":"/dashboards/24873/images"},{"rel":"thumbnails","href":"/dashboards/24873/thumbnails"}],"datasourceSlugs":["loki"]},{"id":23880,"status":1,"statusCode":"active","orgId":1456160,"orgSlug":"schenanigans","orgName":"schenanigans","slug":"cloudflare-magic-transit-analytics","downloads":168,"revisionId":38050,"revision":1,"name":"Cloudflare Magic Transit Analytics","description":"Cloudflare Magic Transit Analytics","readme":"Cloudflare’s Magic Transit Analytics dashboard.\r\n\r\nHow to use\r\n\r\n1. Install Infinity Data Source.\r\n2. Set X-AUTH-EMAIL and X-AUTH-KEY in the data source header. \r\n3. Add allowed hosts (https://api.cloudflare.com/client/v4/graphql) to the security menu.\r\n4. Modify Account ID in the dashboard variable.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Infinity","privacy":"public","createdAt":"2025-08-15T16:25:39.000Z","updatedAt":"2025-08-16T15:19:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23880"},{"rel":"revisions","href":"/dashboards/23880/revisions"},{"rel":"revision","href":"/dashboards/23880/revisions/1"},{"rel":"download","href":"/dashboards/23880/revisions/1/download"},{"rel":"org","href":"/orgs/schenanigans"},{"rel":"images","href":"/dashboards/23880/images"},{"rel":"thumbnails","href":"/dashboards/23880/thumbnails"}],"datasourceSlugs":["yesoreyeram-infinity-datasource"]},{"id":21636,"status":1,"statusCode":"active","orgId":715158,"orgSlug":"cyb3rjak3","orgName":"cyb3rjak3","slug":"cloudflare-r2-analytics","downloads":279,"revisionId":33842,"revision":2,"name":"Cloudflare R2 Analytics","description":"Analytics about R2 Storage","readme":"Dashboards for displaying Cloudflare R2 metrics generated by [cloudflare-exporter](github.com/Cyb3r-Jak3/cloudflare-exporter)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-08-04T14:25:53.000Z","updatedAt":"2024-08-05T14:48:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21636"},{"rel":"revisions","href":"/dashboards/21636/revisions"},{"rel":"revision","href":"/dashboards/21636/revisions/2"},{"rel":"download","href":"/dashboards/21636/revisions/2/download"},{"rel":"org","href":"/orgs/cyb3rjak3"},{"rel":"images","href":"/dashboards/21636/images"},{"rel":"thumbnails","href":"/dashboards/21636/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24874,"status":1,"statusCode":"active","orgId":490645,"orgSlug":"erfianugrah","orgName":"erfianugrah","slug":"cloudflare-tunnel","downloads":200,"revisionId":39957,"revision":4,"name":"Cloudflare Tunnel","description":"Cloudflare Tunnel (cloudflared) monitoring — tunnel capacity & scaling, traffic, QUIC transport, connections, latency, edge locations, RPC operations, process resources","readme":"# Cloudflare Tunnel (cloudflared) Dashboard\r\n\r\nComprehensive monitoring dashboard for [cloudflared](https://github.com/cloudflare/cloudflared) tunnel deployments. **58 panels across 9 sections** covering tunnel health, capacity planning, QUIC transport, latency analysis, and process resources.\r\n\r\nEvery panel includes a description tooltip explaining what it shows and why it matters.\r\n\r\n## Requirements\r\n\r\n- **Grafana** 12.0+\r\n- **Prometheus** (or any compatible TSDB)\r\n- **cloudflared** with `--metrics` flag enabled\r\n\r\n## Sections\r\n\r\n### Tunnel Overview (12 panels)\r\nVersion info, uptime, HA connection count, active concurrent requests, total request rate, error rate, response code breakdown (2xx/3xx/4xx/5xx), and current edge server locations.\r\n\r\n### Tunnel Capacity & Scaling (7 panels)\r\nTwo-tier capacity model:\r\n- **HTTP-only tunnels**: Requests are multiplexed over QUIC streams — no host ephemeral ports consumed. Primary metrics: concurrent requests per tunnel and request rate.\r\n- **WARP / private network tunnels**: TCP/UDP sessions consume host ephemeral ports. Interactive calculator using Cloudflare's sizing formula with configurable port count and DNS timeout variables.\r\n\r\nIncludes a text panel documenting scaling limitations (no auto-scaling, no graceful drain, HA-only replicas).\r\n\r\n### Traffic (4 panels)\r\nRequest rate over time, error rate, response code distribution, and error ratio percentage.\r\n\r\n### Connections & Sessions (8 panels)\r\nHA connection status per tunnel, tunnel registration events, timer retries, TCP/UDP active and total session counts.\r\n\r\n### Edge Locations (2 panels)\r\nCurrent edge colo connections and server location details.\r\n\r\n### QUIC Transport (11 panels)\r\nPer-connection metrics: latest RTT, smoothed RTT, minimum RTT, congestion window size, MTU, congestion state, lost packets by reason, sent/received frame counts, connection lifecycle (new vs closed connections), and oversized packet drops.\r\n\r\n### Latency (4 panels)\r\nProxy connect latency histogram quantiles (p50/p90/p99) and RPC client/server latency distributions.\r\n\r\n### RPC Operations (2 panels)\r\nRPC client and server operation rates broken down by handler and method.\r\n\r\n### Process Resources (8 panels)\r\nCPU usage, resident/virtual memory, open file descriptors vs. max, and network I/O (bytes sent/received).\r\n\r\n## Template Variables\r\n\r\n| Variable | Description |\r\n|----------|-------------|\r\n| `job` | Prometheus job label (auto-discovered) |\r\n| `available_ports` | Ephemeral port count for WARP capacity calculator (50000/30000/16384) |\r\n| `dns_timeout` | DNS timeout for UDP capacity calculation (5/10/30 seconds) |\r\n\r\n## Setup\r\n\r\n### 1. Enable the cloudflared metrics endpoint\r\n\r\nAdd `--metrics` to your cloudflared command:\r\n\r\n```bash\r\ncloudflared tunnel --metrics 0.0.0.0:50000 --metrics-update-freq 5s run\r\n```\r\n\r\nVerify: `curl http://localhost:50000/metrics`\r\n\r\n### 2. Configure Prometheus scraping\r\n\r\n**ServiceMonitor (Prometheus Operator):**\r\n\r\n```yaml\r\napiVersion: v1\r\nkind: Service\r\nmetadata:\r\n  name: cloudflared-metrics\r\n  namespace: cloudflared\r\n  labels:\r\n    app: cloudflared\r\nspec:\r\n  selector:\r\n    app: cloudflared\r\n  ports:\r\n    - name: metrics\r\n      port: 50000\r\n      targetPort: 50000\r\n---\r\napiVersion: monitoring.coreos.com/v1\r\nkind: ServiceMonitor\r\nmetadata:\r\n  name: cloudflared\r\n  namespace: cloudflared\r\nspec:\r\n  endpoints:\r\n    - port: metrics\r\n      interval: 5s\r\n      path: /metrics\r\n  selector:\r\n    matchLabels:\r\n      app: cloudflared\r\n```\r\n\r\n**Static scrape config:**\r\n\r\n```yaml\r\nscrape_configs:\r\n  - job_name: cloudflared\r\n    scrape_interval: 5s\r\n    static_configs:\r\n      - targets: ['cloudflared-host:50000']\r\n```\r\n\r\n### 3. Import this dashboard\r\n\r\nIn Grafana: **Dashboards > New > Import**, enter ID `24874`, and select your Prometheus datasource.\r\n\r\n## Notes\r\n\r\n- `cloudflared_tunnel_active_streams` is documented by Cloudflare but has never been present in the cloudflared source code or emitted by any version. This dashboard does not use it.\r\n- TCP/UDP session metrics will be `0` for HTTP-only tunnels — this is correct, not a bug. Those metrics are only relevant for WARP/private network tunnels.\r\n- The dashboard uses the QUIC `conn_index` label to show per-connection transport metrics for each of the 4 HA connections.\r\n\r\n## Source\r\n\r\n[GitHub Repository](https://github.com/erfianugrah/cloudflare-grafana-dashboards) — includes Python generator scripts for customization.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-02-14T14:50:56.000Z","updatedAt":"2026-02-17T09:00:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24874"},{"rel":"revisions","href":"/dashboards/24874/revisions"},{"rel":"revision","href":"/dashboards/24874/revisions/4"},{"rel":"download","href":"/dashboards/24874/revisions/4/download"},{"rel":"org","href":"/orgs/erfianugrah"},{"rel":"images","href":"/dashboards/24874/images"},{"rel":"thumbnails","href":"/dashboards/24874/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18020,"status":1,"statusCode":"active","orgId":628440,"orgSlug":"travnewmatic","orgName":"travnewmatic","slug":"cloudflare-tunnels","downloads":495,"revisionId":27638,"revision":1,"name":"Cloudflare Tunnels","description":"Display Statistics for your Cloudflare Tunnels (cloudflared)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-01T06:20:19.000Z","updatedAt":"2023-02-01T06:21:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18020"},{"rel":"revisions","href":"/dashboards/18020/revisions"},{"rel":"revision","href":"/dashboards/18020/revisions/1"},{"rel":"download","href":"/dashboards/18020/revisions/1/download"},{"rel":"org","href":"/orgs/travnewmatic"},{"rel":"images","href":"/dashboards/18020/images"},{"rel":"thumbnails","href":"/dashboards/18020/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17457,"status":1,"statusCode":"active","orgId":661852,"orgSlug":"tylerobrien","orgName":"tylerobrien","slug":"cloudflare-tunnels-cloudflared","downloads":181037,"revisionId":26844,"revision":6,"name":"Cloudflare Tunnels (cloudflared)","description":"Display Statistics for your Cloudflare Tunnels (cloudflared)","readme":"[Interactive Snapshot/Demo](https://snapshots.raintank.io/dashboard/snapshot/1e2ZA8Z39fpi4Bxq10JPg7tR4Q9sK5dU)\r\n\r\n\r\nFollow this guide to set it setup:\r\n\r\n[https://developers.cloudflare.com/cloudflare-one/connections/connect-apps/do-more-with-tunnels/grafana/](https://developers.cloudflare.com/cloudflare-one/connections/connect-apps/do-more-with-tunnels/grafana/)\r\n\r\nMake sure to modify your Cloudflare Tunnels config to set a static metrics port, i.e modify the service config to\r\n```\r\nExecStart=/usr/bin/cloudflared tunnel run --token <snip> --metrics 127.0.0.1:39997 \r\n```\r\nOtherwise the metrics port will randomize after every restart.\r\n\r\nIf you have issues with setting up tunnels, [Cloudflare Discord](https://discord.com/invite/cloudflaredev) is a pretty friendly place to hang around in.\r\n\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-21T23:36:52.000Z","updatedAt":"2022-11-25T02:27:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17457"},{"rel":"revisions","href":"/dashboards/17457/revisions"},{"rel":"revision","href":"/dashboards/17457/revisions/6"},{"rel":"download","href":"/dashboards/17457/revisions/6/download"},{"rel":"org","href":"/orgs/tylerobrien"},{"rel":"images","href":"/dashboards/17457/images"},{"rel":"thumbnails","href":"/dashboards/17457/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13133,"status":1,"statusCode":"active","orgId":424722,"orgSlug":"martinhaus","orgName":"martinhaus","slug":"cloudflare-zone-analytics","downloads":58463,"revisionId":20793,"revision":3,"name":"CloudFlare Zone 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A `PodMonitor` correctly pointing to a `Cluster` can be automatically created by the operator by setting `.spec.monitoring.enablePodMonitor` to `true` in the `Cluster` resource itself (default: `false`).\r\n\r\n```yaml\r\napiVersion: postgresql.cnpg.io/v1\r\nkind: Cluster\r\nmetadata:\r\n  name: cluster-example\r\n  namespace: test\r\nspec:\r\n  instances: 3\r\n\r\n  storage:\r\n    size: 1Gi\r\n\r\n  monitoring:\r\n    enablePodMonitor: true\r\n```\r\n\r\nUser defined metrics\r\n----------------------------\r\n\r\nCustom metrics can be defined by users by referring to the created `Configmap/Secret` in a `Cluster` definition under the `.spec.monitoring.customQueriesConfigMap` or `customQueriesSecret` section as in the following example:\r\n\r\n```yaml\r\napiVersion: postgresql.cnpg.io/v1\r\nkind: Cluster\r\nmetadata:\r\n  name: cluster-example\r\n  namespace: test\r\nspec:\r\n  instances: 3\r\n\r\n  storage:\r\n    size: 1Gi\r\n\r\n  monitoring:\r\n    customQueriesConfigMap:\r\n      - name: example-monitoring\r\n        key: custom-queries\r\n```\r\n\r\nHere you can see an example of a `ConfigMap` containing a single custom query, referenced by the `Cluster` example above:\r\n\r\n```yaml\r\napiVersion: v1\r\nkind: ConfigMap\r\nmetadata:\r\n  name: example-monitoring\r\n  namespace: test\r\n  labels:\r\n    cnpg.io/reload: \"\"\r\ndata:\r\n  custom-queries: |\r\n    pg_replication:\r\n      query: \"SELECT CASE WHEN NOT pg_is_in_recovery()\r\n              THEN 0\r\n              ELSE GREATEST (0,\r\n                EXTRACT(EPOCH FROM (now() - pg_last_xact_replay_timestamp())))\r\n              END AS lag,\r\n              pg_is_in_recovery() AS in_recovery,\r\n              EXISTS (TABLE pg_stat_wal_receiver) AS is_wal_receiver_up,\r\n              (SELECT count(*) FROM pg_stat_replication) AS streaming_replicas\"\r\n\r\n      metrics:\r\n        - lag:\r\n            usage: \"GAUGE\"\r\n            description: \"Replication lag behind primary in seconds\"\r\n        - in_recovery:\r\n            usage: \"GAUGE\"\r\n            description: \"Whether the instance is in recovery\"\r\n        - is_wal_receiver_up:\r\n            usage: \"GAUGE\"\r\n            description: \"Whether the instance wal_receiver is up\"\r\n        - streaming_replicas:\r\n            usage: \"GAUGE\"\r\n            description: \"Number of streaming replicas connected to the instance\"\r\n```\r\n\r\nA list of basic monitoring queries can be found in the [`default-monitoring.yaml` file](https://raw.githubusercontent.com/cloudnative-pg/cloudnative-pg/main/config/manager/default-monitoring.yaml) that is already installed in your CloudNativePG deployment (see [\r\n\"Default set of metrics\"](https://cloudnative-pg.io/documentation/current/monitoring/#default-set-of-metrics)).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, Prometheus","privacy":"public","createdAt":"2024-02-03T16:58:21.000Z","updatedAt":"2025-04-14T11:35:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20417"},{"rel":"revisions","href":"/dashboards/20417/revisions"},{"rel":"revision","href":"/dashboards/20417/revisions/4"},{"rel":"download","href":"/dashboards/20417/revisions/4/download"},{"rel":"org","href":"/orgs/cloudnativepg"},{"rel":"images","href":"/dashboards/20417/images"},{"rel":"thumbnails","href":"/dashboards/20417/thumbnails"}],"datasourceSlugs":["__expr__","prometheus"]},{"id":18791,"status":1,"statusCode":"active","orgId":378150,"orgSlug":"louis3","orgName":"louis3","slug":"cloudprober","downloads":429,"revisionId":28815,"revision":1,"name":"Cloudprober","description":"Cloudprober","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-05-20T09:34:46.000Z","updatedAt":"2023-05-20T09:39:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18791"},{"rel":"revisions","href":"/dashboards/18791/revisions"},{"rel":"revision","href":"/dashboards/18791/revisions/1"},{"rel":"download","href":"/dashboards/18791/revisions/1/download"},{"rel":"org","href":"/orgs/louis3"},{"rel":"images","href":"/dashboards/18791/images"},{"rel":"thumbnails","href":"/dashboards/18791/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23228,"status":1,"statusCode":"active","orgId":1245635,"orgSlug":"davift","orgName":"davift","slug":"cloudstack-libvirt","downloads":320,"revisionId":36792,"revision":1,"name":"CloudStack Libvirt","description":"Not limited to CloudStack. 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Prometheus](https://www.cockroachlabs.com/docs/stable/monitor-cockroachdb-with-prometheus.html)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-12-23T22:14:43.000Z","updatedAt":"2019-12-23T22:15:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11464"},{"rel":"revisions","href":"/dashboards/11464/revisions"},{"rel":"revision","href":"/dashboards/11464/revisions/1"},{"rel":"download","href":"/dashboards/11464/revisions/1/download"},{"rel":"org","href":"/orgs/vlevieux"},{"rel":"images","href":"/dashboards/11464/images"},{"rel":"thumbnails","href":"/dashboards/11464/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13737,"status":1,"statusCode":"active","orgId":416890,"orgSlug":"julianzly","orgName":"julianzly","slug":"cockroach-monitor","downloads":727,"revisionId":20078,"revision":1,"name":"Cockroach-monitor","description":"cockroachdb 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Tracks sessions, conversation turns, token consumption (including reasoning tokens and prompt cache hits), tool call reliability and latency, turn latency percentiles, time-to-first-token, sandbox policy distribution, and approval outcomes. Data sourced from Application Insights via OpenTelemetry.","readme":"# Codex CLI Monitoring Dashboard\r\n\r\nMonitor OpenAI Codex CLI usage and performance using Application Insights and OpenTelemetry data.\r\n\r\n## What This Dashboard Shows\r\n\r\n- **Summary KPIs**: Sessions (threads), conversation turns, total token consumption\r\n- **Token Analytics**: Reasoning tokens, prompt cache hits, input/output breakdown\r\n- **Tool Calls**: Reliability, latency, and usage patterns across tools\r\n- **Latency Metrics**: Turn latency percentiles, time-to-first-token\r\n- **Sandbox & Approvals**: Sandbox policy distribution and approval outcomes\r\n- **Error Tracking**: Exception monitoring and debugging\r\n\r\n## Prerequisites\r\n\r\n- Azure Managed Grafana instance\r\n- Application Insights resource with OpenTelemetry data from Codex CLI\r\n- Azure Monitor data source configured in Grafana\r\n\r\n## Getting Started\r\n\r\n1. Import this dashboard into your Azure Managed Grafana instance\r\n2. Select your Azure Monitor data source\r\n3. Configure the Application Insights resource filter\r\n\r\nFor detailed setup instructions, visit: https://aka.ms/amg/dash-doc/codex","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2026-05-21T23:26:07.000Z","updatedAt":"2026-05-21T23:26:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25324"},{"rel":"revisions","href":"/dashboards/25324/revisions"},{"rel":"revision","href":"/dashboards/25324/revisions/1"},{"rel":"download","href":"/dashboards/25324/revisions/1/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/25324/images"},{"rel":"thumbnails","href":"/dashboards/25324/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":12214,"status":1,"statusCode":"active","orgId":377430,"orgSlug":"tarlety","orgName":"tarlety","slug":"codimd-dashboard","downloads":1523,"revisionId":17448,"revision":10,"name":"Codimd Dashboard","description":"Monitor metrics for node.js, express, router, and codimd realtime status.","readme":"## Introduce\n\nThe Codimd Dashboard is introduced on Codimd Issue [#1446](https://github.com/hackmdio/codimd/issues/1466).\n\n## Prometheus Configuration Example\n\n```\n- job_name: codimd-router\n  honor_timestamps: true\n  scrape_interval: 5s\n  scrape_timeout: 5s\n  metrics_path: /metrics/router\n  scheme: http\n  static_configs:\n  - targets:\n    - localhost:3000\n- job_name: codimd\n  honor_timestamps: true\n  scrape_interval: 5s\n  scrape_timeout: 5s\n  metrics_path: /metrics/codimd\n  scheme: http\n  static_configs:\n  - targets:\n    - localhost:3000\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-05-01T15:33:18.000Z","updatedAt":"2020-05-13T10:29:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12214"},{"rel":"revisions","href":"/dashboards/12214/revisions"},{"rel":"revision","href":"/dashboards/12214/revisions/10"},{"rel":"download","href":"/dashboards/12214/revisions/10/download"},{"rel":"org","href":"/orgs/tarlety"},{"rel":"images","href":"/dashboards/12214/images"},{"rel":"thumbnails","href":"/dashboards/12214/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13607,"status":1,"statusCode":"active","orgId":447607,"orgSlug":"neco1","orgName":"cybozu-neco","slug":"coil","downloads":302,"revisionId":19871,"revision":1,"name":"Coil Dashboard","description":"Coil is a CNI-based network plugin for Kubernetes.","readme":"# Coil Dashboard\n\n[Coil](https://github.com/cybozu-go/coil) is a CNI-based network plugin for Kubernetes.  \nThis dashboard provides a nice graphical representation of Coil's metrics.\n\nIf you have prometheus and grafana installed on your cluster then you can easy to use this dashboard.  \nPlease read the [user manual](https://github.com/cybozu-go/coil/blob/master/docs/usage.md#metrics). \n\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-12-18T06:04:13.000Z","updatedAt":"2020-12-18T06:27:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13607"},{"rel":"revisions","href":"/dashboards/13607/revisions"},{"rel":"revision","href":"/dashboards/13607/revisions/1"},{"rel":"download","href":"/dashboards/13607/revisions/1/download"},{"rel":"org","href":"/orgs/neco1"},{"rel":"images","href":"/dashboards/13607/images"},{"rel":"thumbnails","href":"/dashboards/13607/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3890,"status":1,"statusCode":"active","orgId":103661,"orgSlug":"bonovoxly","orgName":"bonovoxly","slug":"coinmarketcap-single","downloads":1671,"revisionId":5300,"revision":1,"name":"coinmarketcap-single","description":"This is a dashboard that shows some stats and information on cryptocurrencies, such as Bitcoin, Ethereum, Litecoin, etc. This data is gathered from http://www.coinmarketcap.com. It display statistics on price in USD, Bitcoin, trends, etc.\r\n\r\nIt is intended to be run with Prometheus and the Coinmarketcap exporter (https://github.com/bonovoxly/coinmarketcap-exporter).\r\n\r\n","readme":"Examples for using this dashboard can be found here: https://github.com/bonovoxly/coinmarketcap-exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-12-03T15:09:23.000Z","updatedAt":"2017-12-03T15:14:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3890"},{"rel":"revisions","href":"/dashboards/3890/revisions"},{"rel":"revision","href":"/dashboards/3890/revisions/1"},{"rel":"download","href":"/dashboards/3890/revisions/1/download"},{"rel":"org","href":"/orgs/bonovoxly"},{"rel":"images","href":"/dashboards/3890/images"},{"rel":"thumbnails","href":"/dashboards/3890/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9699,"status":1,"statusCode":"active","orgId":230466,"orgSlug":"altosdev","orgName":"altosdev","slug":"coinmarketcap-single","downloads":364,"revisionId":13483,"revision":1,"name":"coinmarketcap-single","description":"This is a dashboard that shows some stats and information on cryptocurrencies, such as Bitcoin, Ethereum, Litecoin, etc. This data is gathered from http://www.coinmarketcap.com. It display statistics on price in USD, Bitcoin, trends, etc.\r\n\r\nIt is intended to be run with Prometheus and the Coinmarketcap exporter (https://github.com/bonovoxly/coinmarketcap-exporter).\r\n\r\n","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"cpu","datasource":"Prometheus","privacy":"public","createdAt":"2019-01-22T10:39:57.000Z","updatedAt":"2019-01-22T10:40:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9699"},{"rel":"revisions","href":"/dashboards/9699/revisions"},{"rel":"revision","href":"/dashboards/9699/revisions/1"},{"rel":"download","href":"/dashboards/9699/revisions/1/download"},{"rel":"org","href":"/orgs/altosdev"},{"rel":"images","href":"/dashboards/9699/images"},{"rel":"thumbnails","href":"/dashboards/9699/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14675,"status":1,"statusCode":"active","orgId":515549,"orgSlug":"fforna","orgName":"fforna","slug":"coinmarketcap-single","downloads":290,"revisionId":21784,"revision":1,"name":"coinmarketcap-single","description":"This is a dashboard that shows some stats and information on cryptocurrencies, such as Bitcoin, Ethereum, Litecoin, etc. This data is gathered from http://www.coinmarketcap.com. It display statistics on price in USD, Bitcoin, trends, etc.\r\n\r\nIt is intended to be run with Prometheus and the Coinmarketcap exporter (https://github.com/bonovoxly/coinmarketcap-exporter).\r\n\r\n","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-07-03T14:35:21.000Z","updatedAt":"2021-07-03T14:36:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14675"},{"rel":"revisions","href":"/dashboards/14675/revisions"},{"rel":"revision","href":"/dashboards/14675/revisions/1"},{"rel":"download","href":"/dashboards/14675/revisions/1/download"},{"rel":"org","href":"/orgs/fforna"},{"rel":"images","href":"/dashboards/14675/images"},{"rel":"thumbnails","href":"/dashboards/14675/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19559,"status":1,"statusCode":"active","orgId":931677,"orgSlug":"hellspawnwarrior","orgName":"hellspawnwarrior","slug":"coinmarketcap-single","downloads":266,"revisionId":30005,"revision":1,"name":"coinmarketcap-single","description":"This is a dashboard that shows some stats and information on cryptocurrencies, such as Bitcoin, Ethereum, Litecoin, etc. This data is gathered from http://www.coinmarketcap.com. It display statistics on price in USD, Bitcoin, trends, etc.\r\n\r\nIt is intended to be run with Prometheus and the Coinmarketcap exporter (https://github.com/bonovoxly/coinmarketcap-exporter).\r\n\r\n","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-09-14T06:28:30.000Z","updatedAt":"2023-09-14T06:28:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19559"},{"rel":"revisions","href":"/dashboards/19559/revisions"},{"rel":"revision","href":"/dashboards/19559/revisions/1"},{"rel":"download","href":"/dashboards/19559/revisions/1/download"},{"rel":"org","href":"/orgs/hellspawnwarrior"},{"rel":"images","href":"/dashboards/19559/images"},{"rel":"thumbnails","href":"/dashboards/19559/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5383,"status":1,"statusCode":"active","orgId":136165,"orgSlug":"burgerisl","orgName":"burgerisl","slug":"coinmarketcap-single","downloads":349,"revisionId":7204,"revision":1,"name":"coinmarketcap-single-clone","description":"This is a dashboard that shows some stats and information on cryptocurrencies, such as Bitcoin, Ethereum, Litecoin, etc. This data is gathered from http://www.coinmarketcap.com. It display statistics on price in USD, Bitcoin, trends, etc.\r\n\r\nIt is intended to be run with Prometheus and the Coinmarketcap exporter (https://github.com/bonovoxly/coinmarketcap-exporter).\r\n\r\n","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-04-03T06:55:06.000Z","updatedAt":"2018-04-03T06:55:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5383"},{"rel":"revisions","href":"/dashboards/5383/revisions"},{"rel":"revision","href":"/dashboards/5383/revisions/1"},{"rel":"download","href":"/dashboards/5383/revisions/1/download"},{"rel":"org","href":"/orgs/burgerisl"},{"rel":"images","href":"/dashboards/5383/images"},{"rel":"thumbnails","href":"/dashboards/5383/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15581,"status":1,"statusCode":"active","orgId":66364,"orgSlug":"jasonblais","orgName":"jasonblais","slug":"collapsed-reply-threads-performance","downloads":4168,"revisionId":24029,"revision":2,"name":"Collapsed Reply Threads Performance","description":"","readme":"### Mattermost Collapsed Reply Threads Performance\r\n\r\nThis dashboard gives an insight into the key metrics responsible for monitoring performance of the Collapsed Reply Threads feature.\r\n\r\nThere are 2 methods which are primary drivers of the feature.\r\n- GetThreadsForUser\r\n- MarkAllAsReadByChannels\r\n\r\nThe dashboard provides rate and duration graphs for both of these. Any sudden spikes in any of these can indicate a drop in performance.\r\n\r\nFor more information on how to configure Mattermost to collect metrics, visit the Mattermost [documentation](https://docs.mattermost.com/scale/performance-monitoring.html).\r\n\r\nReport issues or feedback in the Mattermost [forums](https://forum.mattermost.org) or join the discussion in the public Developers Performance [channel](https://community.mattermost.com/core/channels/developers-performance).\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-01-20T04:50:04.000Z","updatedAt":"2022-03-09T04:34:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15581"},{"rel":"revisions","href":"/dashboards/15581/revisions"},{"rel":"revision","href":"/dashboards/15581/revisions/2"},{"rel":"download","href":"/dashboards/15581/revisions/2/download"},{"rel":"org","href":"/orgs/jasonblais"},{"rel":"images","href":"/dashboards/15581/images"},{"rel":"thumbnails","href":"/dashboards/15581/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10179,"status":1,"statusCode":"active","orgId":251004,"orgSlug":"pommi","orgName":"pommi","slug":"collectd-graph-panel","downloads":1310,"revisionId":14584,"revision":2,"name":"Collectd Graph Panel","description":"Like the original Collectd Graph Panel (PHP frontend), but then as a Dashboard in Grafana with InfluxDB as a data source. Same colors and styling. Currently supported graphs: - Load - CPU - Memory - Swap - Disk Traffic - Disk Usage - Interface Traffic (Original: https://collectd.org/wiki/index.php/Collectd_Graph_Panel)","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-05-10T07:46:09.000Z","updatedAt":"2019-06-25T19:59:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/10179"},{"rel":"revisions","href":"/dashboards/10179/revisions"},{"rel":"revision","href":"/dashboards/10179/revisions/2"},{"rel":"download","href":"/dashboards/10179/revisions/2/download"},{"rel":"org","href":"/orgs/pommi"},{"rel":"images","href":"/dashboards/10179/images"},{"rel":"thumbnails","href":"/dashboards/10179/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":2788,"status":1,"statusCode":"active","orgId":76504,"orgSlug":"ezbik","orgName":"ezbik","slug":"synthesis-final","downloads":1300,"revisionId":3832,"revision":1,"name":"Collectd graphs","description":"CollectD & Graphite Server Metrics Dashboard with  CPU, Memory, IO & Disk Stats","readme":"Working dashboards tested on \r\n\r\nUbuntu 14.04/16.04\r\n\r\nCollectd 5.4 and 5.5\r\n\r\nGrafana 4.4.1\r\n\r\nGraphite 0.9.15","collectorType":"collectd","collectorConfig":"\r\n/etc/collectd/collectd.conf :\r\n```\r\nFQDNLookup false\r\nInterval 10\r\nLoadPlugin network\r\nLoadPlugin rrdtool\r\nLoadPlugin cpu\r\nLoadPlugin df\r\nLoadPlugin interface\r\nLoadPlugin load\r\nLoadPlugin memory\r\nLoadPlugin syslog\r\nLoadPlugin tcpconns\r\nLoadPlugin processes\r\n<Plugin network>\r\n server \"zzz.com\"  \"25826\"\r\n SecurityLevel none\r\n</Plugin>\r\n<Plugin rrdtool>\r\n DataDir \"/var/lib/collectd/rrd\"\r\n</Plugin>\r\n<Plugin tcpconns>\r\nLocalPort 80\r\nLocalPort 443\r\nLocalPort 2200\r\n</Plugin>\r\n<Plugin interface>\r\nInterface \"eth0\"\r\nInterface \"lo\"\r\nInterface \"venet0\"\r\n</Plugin>\r\n<Plugin df>\r\nMountPoint \"/\"\r\n</Plugin>\r\nInclude \"/etc/collectd/thresholds.conf\"\r\nInclude \"/etc/collectd/conf.d/*conf\"\r\n```\r\n/etc/collectd/conf.d/apache.conf :\r\n```\r\nLoadPlugin apache\r\n<Plugin processes>\r\nProcess \"apache2\"\r\n</Plugin>\r\n<Plugin tcpconns>\r\nLocalPort 8080\r\n</Plugin>\r\n<Plugin \"apache\">\r\n   <Instance \"apache\">\r\n       URL \"http://localhost:8080/server-status?auto\"\r\n   </Instance>\r\n</Plugin>\r\n```\r\n/etc/collectd/conf.d/disk.conf :\r\n```\r\nLoadPlugin disk\r\n```\r\n/etc/collectd/conf.d/graphite.conf :\r\n```\r\nLoadPlugin write_graphite\r\nLoadPlugin aggregation\r\n<Plugin write_graphite>\r\n        <Node \"graphite\">\r\n                Host \"zzz.com\"\r\n                Port \"2003\"\r\n                Protocol \"tcp\"\r\n                LogSendErrors true\r\n                Prefix \"collectd.\"\r\n                EscapeCharacter \"_\"\r\n                SeparateInstances true\r\n                StoreRates true\r\n                AlwaysAppendDS false\r\n        </Node>\r\n</Plugin>\r\n<Plugin \"aggregation\">\r\n  <Aggregation>\r\n    Plugin \"cpu\"\r\n    Type \"cpu\"\r\n    GroupBy \"Host\"\r\n    GroupBy \"TypeInstance\"\r\n    CalculateAverage true\r\n  </Aggregation>\r\n</Plugin>\r\n<Plugin df>\r\n  ReportByDevice false\r\n  ReportReserved true\r\n  ReportInodes true\r\n  ValuesAbsolute true\r\n  ValuesPercentage true\r\n  ReportInodes true\r\n</Plugin>\r\n<Chain \"PostCache\">\r\n  <Rule>\r\n    <Match regex>\r\n      Plugin \"^cpu$\"\r\n      PluginInstance \"^[0-9]+$\"\r\n    </Match>\r\n    <Target write>\r\n      Plugin \"aggregation\"\r\n    </Target>\r\n    Target stop\r\n  </Rule>\r\n  Target \"write\"\r\n</Chain>\r\n```\r\n/etc/collectd/conf.d/local.conf :\r\n```\r\nLoadPlugin swap\r\nLoadPlugin Tail\r\n<Plugin \"tail\">\r\n<File \"/var/log/nginx/error.log\">\r\nInstance nginx\r\n<Match>\r\n    #Regex \"(upstream prematurely closed |no live upstreams|upstream server temporarily|Connection reset by peer)\"\r\n    Regex \"(ddddd.*No such file or direc)\"\r\n    DSType \"DeriveInc\"\r\n    Type \"derive\"\r\n    Instance \"errors\"\r\n</Match>\r\n</File>\r\n</Plugin>\r\n```\r\n/etc/collectd/conf.d/mysql.conf :\r\n```\r\nLoadPlugin mysql\r\n<Plugin processes>\r\nProcess \"mysqld\"\r\n</Plugin>\r\n<Plugin mysql>\r\n<Database foo>\r\nUser \"nagios\"\r\nPassword \"\"\r\n</Database>\r\n</Plugin>\r\n```\r\n/etc/collectd/conf.d/nginx.conf :\r\n```\r\nLoadPlugin nginx\r\n<Plugin \"nginx\">\r\n  URL \"http://localhost/nginx_status\"\r\n</Plugin>\r\n```\r\n","collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2017-08-02T01:32:50.000Z","updatedAt":"2017-08-02T01:48:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2788"},{"rel":"revisions","href":"/dashboards/2788/revisions"},{"rel":"revision","href":"/dashboards/2788/revisions/1"},{"rel":"download","href":"/dashboards/2788/revisions/1/download"},{"rel":"org","href":"/orgs/ezbik"},{"rel":"images","href":"/dashboards/2788/images"},{"rel":"thumbnails","href":"/dashboards/2788/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":9577,"status":1,"statusCode":"active","orgId":226532,"orgSlug":"bhargavss","orgName":"bhargavss","slug":"collectd-graphs","downloads":395,"revisionId":13249,"revision":1,"name":"Collectd graphs","description":"CollectD & Graphite Server Metrics Dashboard with  CPU, Memory, IO & Disk Stats","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2018-12-28T09:16:42.000Z","updatedAt":"2018-12-28T09:17:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9577"},{"rel":"revisions","href":"/dashboards/9577/revisions"},{"rel":"revision","href":"/dashboards/9577/revisions/1"},{"rel":"download","href":"/dashboards/9577/revisions/1/download"},{"rel":"org","href":"/orgs/bhargavss"},{"rel":"images","href":"/dashboards/9577/images"},{"rel":"thumbnails","href":"/dashboards/9577/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":14963,"status":1,"statusCode":"active","orgId":499702,"orgSlug":"ymc023","orgName":"ymc023","slug":"collectd-prometheus-dashboard","downloads":725,"revisionId":22341,"revision":1,"name":"collectd prometheus dashboard","description":"collectd-->prometheus-->grafana dashboard memeory,cpu,network,tcp conns","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"DF plugin, CPU plugin, Processes plugin, Modbus plugin, Interface plugin","datasource":"Prometheus","privacy":"public","createdAt":"2021-09-03T08:17:46.000Z","updatedAt":"2021-09-03T08:45:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14963"},{"rel":"revisions","href":"/dashboards/14963/revisions"},{"rel":"revision","href":"/dashboards/14963/revisions/1"},{"rel":"download","href":"/dashboards/14963/revisions/1/download"},{"rel":"org","href":"/orgs/ymc023"},{"rel":"images","href":"/dashboards/14963/images"},{"rel":"thumbnails","href":"/dashboards/14963/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24,"status":1,"statusCode":"active","orgId":10045,"orgSlug":"torkel","orgName":"Torkel Ödegaard","slug":"collectd-server-metrics","downloads":11835,"revisionId":33,"revision":1,"name":"CollectD Server Metrics","description":"CollectD & Graphite Server Metrics Dashboard with  CPU, Memory, IO & Disk Stats","readme":"Simple Server Metrics Dashboard using Graphite and CollectD. \r\n\r\n## Dashboard metrics\r\n* CPU Average (over all cores)\r\n* Load \r\n* Processes (Forks, state)\r\n* Memory usage\r\n* Disc usage\r\n* Network Packets, Traffic, Errors\r\n \r\n\r\nCollectD config can be found here: [collectd.conf](\r\nhttps://github.com/torkelo/dashboards/blob/master/collectd-graphite-single-server/collectd.conf)\r\n\r\nThat config file configures CollectD to send metrics to Graphite every 10s. Change this to match your Graphite storage schema \r\nconfig and your lowest retention interval. \r\n\r\n## Metric Prefix\r\nBy default the prefix is just `collectd` but you can change that in the collectd config file. You can also change that when you import the dashboard. During import when you specify the prefix do not include the trailing dot (`.`). \r\n\r\n## Make it better\r\nFor feedback and ideas to improve this dashboard please open an issue here: \r\n[https://github.com/torkelo/dashboards](https://github.com/torkelo/dashboards)","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"CPU plugin, DF plugin, Disk plugin","datasource":"Graphite","privacy":"public","createdAt":"2016-06-21T14:51:11.000Z","updatedAt":"2016-09-08T05:51:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24"},{"rel":"revisions","href":"/dashboards/24/revisions"},{"rel":"revision","href":"/dashboards/24/revisions/1"},{"rel":"download","href":"/dashboards/24/revisions/1/download"},{"rel":"org","href":"/orgs/torkel"},{"rel":"images","href":"/dashboards/24/images"},{"rel":"thumbnails","href":"/dashboards/24/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":7836,"status":1,"statusCode":"active","orgId":175563,"orgSlug":"iertest","orgName":"iertest","slug":"collectd-server-metrics","downloads":459,"revisionId":10656,"revision":1,"name":"CollectD Server Metrics","description":"CollectD & Graphite Server Metrics Dashboard with  CPU, Memory, IO & Disk Stats","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2018-09-05T08:03:34.000Z","updatedAt":"2018-09-05T08:04:26.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7836"},{"rel":"revisions","href":"/dashboards/7836/revisions"},{"rel":"revision","href":"/dashboards/7836/revisions/1"},{"rel":"download","href":"/dashboards/7836/revisions/1/download"},{"rel":"org","href":"/orgs/iertest"},{"rel":"images","href":"/dashboards/7836/images"},{"rel":"thumbnails","href":"/dashboards/7836/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":9060,"status":1,"statusCode":"active","orgId":212895,"orgSlug":"thanaporn","orgName":"Thanaporn Sangpaithoon","slug":"collectd-server-metrics","downloads":427,"revisionId":12492,"revision":1,"name":"CollectD Server Metrics","description":"CollectD & Graphite Server Metrics Dashboard with  CPU, Memory, IO & Disk Stats","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2018-11-16T04:40:22.000Z","updatedAt":"2018-11-16T04:41:31.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9060"},{"rel":"revisions","href":"/dashboards/9060/revisions"},{"rel":"revision","href":"/dashboards/9060/revisions/1"},{"rel":"download","href":"/dashboards/9060/revisions/1/download"},{"rel":"org","href":"/orgs/thanaporn"},{"rel":"images","href":"/dashboards/9060/images"},{"rel":"thumbnails","href":"/dashboards/9060/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":9439,"status":1,"statusCode":"active","orgId":214428,"orgSlug":"vivekjuneja","orgName":"vivekjuneja","slug":"collectd-server-metrics","downloads":316,"revisionId":13039,"revision":1,"name":"CollectD Server Metrics","description":"CollectD & Graphite Server Metrics Dashboard with  CPU, Memory, IO & Disk Stats","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2018-12-08T14:37:10.000Z","updatedAt":"2018-12-08T14:37:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9439"},{"rel":"revisions","href":"/dashboards/9439/revisions"},{"rel":"revision","href":"/dashboards/9439/revisions/1"},{"rel":"download","href":"/dashboards/9439/revisions/1/download"},{"rel":"org","href":"/orgs/vivekjuneja"},{"rel":"images","href":"/dashboards/9439/images"},{"rel":"thumbnails","href":"/dashboards/9439/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":9436,"status":1,"statusCode":"active","orgId":214428,"orgSlug":"vivekjuneja","orgName":"vivekjuneja","slug":"collectd-server-metrics","downloads":312,"revisionId":13036,"revision":1,"name":"CollectD Server Metrics","description":"CollectD & Graphite Server Metrics Dashboard with  CPU, Memory, IO & Disk Stats","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2018-12-08T12:53:31.000Z","updatedAt":"2018-12-08T14:36:16.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9436"},{"rel":"revisions","href":"/dashboards/9436/revisions"},{"rel":"revision","href":"/dashboards/9436/revisions/1"},{"rel":"download","href":"/dashboards/9436/revisions/1/download"},{"rel":"org","href":"/orgs/vivekjuneja"},{"rel":"images","href":"/dashboards/9436/images"},{"rel":"thumbnails","href":"/dashboards/9436/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":18119,"status":1,"statusCode":"active","orgId":774647,"orgSlug":"aa675546121","orgName":"aa675546121","slug":"collectd-for-linux","downloads":299,"revisionId":27823,"revision":1,"name":"CollectD_For_Linux_By_Epoint","description":"Linux服务器轻量级性能监控面板（运行时、CPU、内存、磁盘），支持服务器多选同时展示","readme":"将下面覆盖到文件>   /etc/influxdb/influxdb.conf  \r\n```\r\n[meta]\r\ndir = \"/var/lib/influxdb/meta\"\r\n[data]\r\ndir = \"/var/lib/influxdb/data\"\r\nwal-dir = \"/var/lib/influxdb/wal\"\r\n[http]\r\nenabled = true\r\nbind-address = \":8086\"\r\n[[admin]]\r\nenabled = true\r\nbind-address = \":8083\"\r\nhttps-enabled =false\r\n[[collectd]]\r\ntypesdb = \"/usr/local/share/collectd\"\r\nenabled = true\r\nbind-address = \":25826\"\r\ndatabase = \"collectd\"\r\nbatch-size = 5000\r\nbatch-pending = 10\r\nbatch-timeout = \"10s\"\r\n```","collectorType":"collectd","collectorConfig":"将下面覆盖到文件>   /etc/collectd.conf  ，自定义$本机ip和influxDB的ip（$去掉）\r\n```\r\nHostname    \"$本机ip\" \r\nFQDNLookup   true\r\nBaseDir     \"/var/lib/collectd\"\r\nPIDFile     \"/var/run/collectd.pid\"\r\nPluginDir   \"/usr/lib64/collectd\"\r\nTypesDB     \"/usr/share/collectd/types.db\"\r\nLoadPlugin disk\r\nLoadPlugin df\r\nLoadPlugin interface\r\nLoadPlugin cpu\r\nLoadPlugin load\r\nLoadPlugin memory\r\nLoadPlugin network\r\nLoadPlugin processes\r\nLoadPlugin users\r\nLoadPlugin uptime\r\n<Plugin cpu>\r\n  ReportByCpu true\r\n  ReportByState true\r\n  ValuesPercentage true\r\n  ReportNumCpu true\r\n</Plugin>\r\n<Plugin df>\r\n\tValuesAbsolute true\r\n\tValuesPercentage true\r\n</Plugin>\r\n<Plugin memory>\r\n\tValuesPercentage true\r\n\tValuesAbsolute true\r\n</Plugin>\r\n<plugin network>\r\n Server \"$influxDB的ip\" \"25826\"\r\n</plugin>\r\n\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-02-17T00:18:40.000Z","updatedAt":"2023-02-17T01:16:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18119"},{"rel":"revisions","href":"/dashboards/18119/revisions"},{"rel":"revision","href":"/dashboards/18119/revisions/1"},{"rel":"download","href":"/dashboards/18119/revisions/1/download"},{"rel":"org","href":"/orgs/aa675546121"},{"rel":"images","href":"/dashboards/18119/images"},{"rel":"thumbnails","href":"/dashboards/18119/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":3939,"status":1,"statusCode":"active","orgId":18017,"orgSlug":"sileht","orgName":"sileht","slug":"collectd-gnocchi-system-metrics","downloads":943,"revisionId":6378,"revision":3,"name":"Collectd-Gnocchi system metrics","description":"Example of dashboard of System metrics collected by Collectd and stored in Gnocchi >= 4.1","readme":"This dashboard shows system metrics collected with Collectd and stored in Gnocchi.\r\n\r\nThe dashboard uses features that requires Gnocchi >=4.1","collectorType":"collectd","collectorConfig":"A special Gnocchi Archive Policy need to be configured to compute the rate of change network metrics:\r\n\r\n```\r\ngnocchi archive-policy create -d granularity:0:05:00,points:8640 rate:low -m rate:last\r\ngnocchi archive-policy-rule create -m \"interface-*@if_*\" -a rate:low network-interface-rate\r\n```\r\n\r\n\r\nThe following configuration  of Collectd have been used:\r\n```\r\nHostname \"my-hostname\"\r\n\r\nFQDNLookup false\r\nInterval 10\r\nTimeout 2\r\nReadThreads 5\r\n\r\nLoadPlugin aggregation\r\n<Plugin aggregation>\r\n  <Aggregation>\r\n    Plugin \"cpu\"\r\n    Type \"percent\"\r\n    GroupBy \"Host\"\r\n    GroupBy \"TypeInstance\"\r\n    CalculateNum false\r\n    CalculateSum false\r\n    CalculateAverage true\r\n    CalculateMinimum false\r\n    CalculateMaximum false\r\n    CalculateStddev false\r\n  </Aggregation>\r\n</Plugin>\r\n\r\nLoadPlugin cpu\r\n<Plugin cpu>\r\n  ReportByCpu true\r\n  ReportByState true\r\n  ValuesPercentage true\r\n</Plugin>\r\n\r\nLoadPlugin df\r\n<Plugin df>\r\n    ReportInodes true\r\n    ValuesPercentage true\r\n</Plugin>\r\n\r\nLoadPlugin disk\r\n\r\nLoadPlugin memory\r\n<Plugin memory>\r\n    ValuesAbsolute true\r\n    ValuesPercentage true\r\n</Plugin>\r\n\r\nLoadPlugin processes\r\nLoadPlugin uptime\r\n\r\nLoadPlugin interface\r\nLoadPlugin load\r\nLoadPlugin network\r\n\r\nLoadPlugin python\r\n<Plugin python>\r\n  Import \"collectd_gnocchi\"\r\n  <Module collectd_gnocchi>\r\n    Endpoint \"http://gnocchi-api:8041/\"\r\n    User admin\r\n  </Module>\r\n</Plugin>\r\n```\r\n\r\n","collectorPluginList":"Aggregation plugin, CPU plugin, DF plugin, Disk plugin, Interface plugin, Load plugin, Processes plugin, Python plugin, Network plugin, Memory plugin","datasource":"Gnocchi","privacy":"public","createdAt":"2017-12-07T10:10:17.000Z","updatedAt":"2018-02-21T09:26:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/3939"},{"rel":"revisions","href":"/dashboards/3939/revisions"},{"rel":"revision","href":"/dashboards/3939/revisions/3"},{"rel":"download","href":"/dashboards/3939/revisions/3/download"},{"rel":"org","href":"/orgs/sileht"},{"rel":"images","href":"/dashboards/3939/images"},{"rel":"thumbnails","href":"/dashboards/3939/thumbnails"}],"datasourceSlugs":["gnocchixyz-gnocchi-datasource"]},{"id":15775,"status":1,"statusCode":"active","orgId":604221,"orgSlug":"angelmartin","orgName":"angelmartin","slug":"common-voice-public-dashboard","downloads":310,"revisionId":23871,"revision":1,"name":"Common Voice Public Dashboard","description":"This is a dashboard for a time-bounded analysis of top 10 active languages on the site","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2022-02-17T09:40:10.000Z","updatedAt":"2022-02-17T09:40:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15775"},{"rel":"revisions","href":"/dashboards/15775/revisions"},{"rel":"revision","href":"/dashboards/15775/revisions/1"},{"rel":"download","href":"/dashboards/15775/revisions/1/download"},{"rel":"org","href":"/orgs/angelmartin"},{"rel":"images","href":"/dashboards/15775/images"},{"rel":"thumbnails","href":"/dashboards/15775/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":18799,"status":1,"statusCode":"active","orgId":609758,"orgSlug":"ivancpweb","orgName":"ivancpweb","slug":"common-weather-website-of-teide-observatory","downloads":277,"revisionId":28824,"revision":1,"name":"Common Weather Website of Teide Observatory","description":"IAC","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, InfluxDB, JSON API","privacy":"public","createdAt":"2023-05-22T11:15:48.000Z","updatedAt":"2023-05-22T11:16:21.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18799"},{"rel":"revisions","href":"/dashboards/18799/revisions"},{"rel":"revision","href":"/dashboards/18799/revisions/1"},{"rel":"download","href":"/dashboards/18799/revisions/1/download"},{"rel":"org","href":"/orgs/ivancpweb"},{"rel":"images","href":"/dashboards/18799/images"},{"rel":"thumbnails","href":"/dashboards/18799/thumbnails"}],"datasourceSlugs":["__expr__","influxdb","marcusolsson-json-datasource"]},{"id":23181,"status":1,"statusCode":"active","orgId":1392108,"orgSlug":"compassvpn","orgName":"compassvpn","slug":"compassvpn-dashboard","downloads":2646,"revisionId":37781,"revision":9,"name":"CompassVPN Dashboard","description":"The CompassVPN Dashboard offers real-time monitoring of VPN infrastructure, with server metrics, Xray traffic, and config management. Track resources, connections, bandwidth, and security in one place.","readme":"# CompassVPN Dashboard\r\n\r\nA comprehensive Grafana dashboard for monitoring VPN infrastructure, providing real-time insights into server performance, traffic analytics, and VPN configuration management.\r\n\r\n- **Website:** [compassvpn.org](https://compassvpn.org)\r\n- **Agent GitHub:** [github.com/compassvpn/agent](https://github.com/compassvpn/agent)\r\n- **Manager Github:** [github.com/compassvpn/manager](https://github.com/compassvpn/manager)\r\n\r\n## Overview\r\n\r\nThe CompassVPN Dashboard is an all-in-one monitoring solution that helps you track and manage your VPN infrastructure. It combines system metrics, Xray traffic data, and VPN configurations in a unified interface.\r\n\r\n## Features\r\n\r\n### System Monitoring\r\n- CPU utilization and load metrics\r\n- Memory usage and allocation\r\n- Disk usage and I/O statistics\r\n- Network interface traffic analytics\r\n\r\n### VPN Performance Metrics\r\n- Real-time bandwidth monitoring\r\n- Upload/Download speeds per inbound\r\n- Active user tracking\r\n- Connection statistics\r\n\r\n### Xray Analytics\r\n- Traffic routing analysis\r\n- Security rule effectiveness\r\n- Blocked request monitoring\r\n- Connection quality metrics\r\n\r\n### Configuration Management\r\n- VPN configuration status\r\n- Link availability monitoring\r\n- Transport protocol performance\r\n- Connection latency tracking\r\n\r\n## Requirements\r\n\r\n- Grafana v12.0.0 or later\r\n- Prometheus data source\r\n- Node exporter for system metrics\r\n- Xray with metrics enabled\r\n\r\n## Installation\r\n\r\n1. Import the dashboard JSON file into your Grafana instance\r\n2. Configure the Prometheus data source (default: `grafanacloud-compassvpn-prom`)\r\n\r\n## Dashboard Structure\r\n\r\nThe dashboard is organized into several sections:\r\n\r\n1. **Overview**\r\n   - Real-time system status\r\n   - Total bandwidth utilization\r\n   - Active connections\r\n\r\n2. **Server Status**\r\n   - CPU, Memory, Disk metrics\r\n   - Network interface statistics\r\n   - System resource utilization\r\n\r\n3. **XRAY Metrics**\r\n   - User connections\r\n   - Traffic analysis\r\n   - Protocol performance\r\n\r\n4. **VPN Configurations**\r\n   - Configuration links\r\n   - Connection status\r\n   - Latency measurements\r\n\r\n## Data Collection\r\n\r\nThe dashboard collects metrics from multiple sources:\r\n- System metrics via node_exporter\r\n- Xray performance metrics\r\n- VPN configuration status\r\n- Network traffic statistics\r\n\r\n## Refresh Rates\r\n\r\n- Default dashboard refresh: 5 minutes\r\n- Metric collection intervals: 30 seconds to 5 minutes\r\n- Historical data retention: Based on Prometheus configuration\r\n\r\n## License\r\n\r\nThis dashboard is part of the CompassVPN project. Please take a look at the project's license terms.\r\n\r\n---\r\n\r\nFor detailed documentation and updates, visit [CompassVPN Website](https://compassvpn.org/)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-01T21:28:16.000Z","updatedAt":"2025-07-18T18:35:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23181"},{"rel":"revisions","href":"/dashboards/23181/revisions"},{"rel":"revision","href":"/dashboards/23181/revisions/9"},{"rel":"download","href":"/dashboards/23181/revisions/9/download"},{"rel":"org","href":"/orgs/compassvpn"},{"rel":"images","href":"/dashboards/23181/images"},{"rel":"thumbnails","href":"/dashboards/23181/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23213,"status":1,"statusCode":"active","orgId":1397364,"orgSlug":"uscharity","orgName":"uscharity","slug":"compassvpn-dashboard","downloads":255,"revisionId":36747,"revision":1,"name":"CompassVPN Dashboard","description":"The CompassVPN Dashboard offers real-time monitoring of VPN infrastructure, with server metrics, Xray traffic, and config management. Track resources, connections, bandwidth, and security in one place.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-08T00:11:48.000Z","updatedAt":"2025-04-08T00:12:50.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23213"},{"rel":"revisions","href":"/dashboards/23213/revisions"},{"rel":"revision","href":"/dashboards/23213/revisions/1"},{"rel":"download","href":"/dashboards/23213/revisions/1/download"},{"rel":"org","href":"/orgs/uscharity"},{"rel":"images","href":"/dashboards/23213/images"},{"rel":"thumbnails","href":"/dashboards/23213/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18983,"status":1,"statusCode":"active","orgId":879569,"orgSlug":"concordium","orgName":"concordium","slug":"concordium-node-external","downloads":287,"revisionId":29099,"revision":1,"name":"Concordium Node","description":"Concordium node dashboard with Prometheus metrics","readme":"Dashboard showing most of the metrics available for the Concordium node.\r\n\r\nFor running a node please refer the official Concordium [documentation](https://developer.concordium.software/en/mainnet/net/nodes/node-requirements.html).\r\n\r\nHow to enable Prometheus metrics in the Concordium node, and which metrics are available, is documented on [Github](https://github.com/Concordium/concordium-node/blob/main/docs/prometheus-exporter.md).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-06-15T08:52:00.000Z","updatedAt":"2026-01-20T15:15:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18983"},{"rel":"revisions","href":"/dashboards/18983/revisions"},{"rel":"revision","href":"/dashboards/18983/revisions/1"},{"rel":"download","href":"/dashboards/18983/revisions/1/download"},{"rel":"org","href":"/orgs/concordium"},{"rel":"images","href":"/dashboards/18983/images"},{"rel":"thumbnails","href":"/dashboards/18983/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7036,"status":1,"statusCode":"active","orgId":169702,"orgSlug":"twocolor","orgName":"twocolor","slug":"concourse","downloads":2808,"revisionId":9562,"revision":2,"name":"Concourse","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-18T13:20:33.000Z","updatedAt":"2018-07-18T13:37:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/7036"},{"rel":"revisions","href":"/dashboards/7036/revisions"},{"rel":"revision","href":"/dashboards/7036/revisions/2"},{"rel":"download","href":"/dashboards/7036/revisions/2/download"},{"rel":"org","href":"/orgs/twocolor"},{"rel":"images","href":"/dashboards/7036/images"},{"rel":"thumbnails","href":"/dashboards/7036/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15553,"status":1,"statusCode":"active","orgId":588451,"orgSlug":"costrouc","orgName":"costrouc","slug":"conda-store","downloads":286,"revisionId":23481,"revision":1,"name":"Conda-Store","description":"Conda-Store dashboard for conda environments","readme":"Conda-Store dashboard for conda environments. Data is collected from `/metrics` endpoint within [Conda-Store](https://github.com/quansight/conda-store)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-01-14T18:54:17.000Z","updatedAt":"2022-01-14T18:56:26.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15553"},{"rel":"revisions","href":"/dashboards/15553/revisions"},{"rel":"revision","href":"/dashboards/15553/revisions/1"},{"rel":"download","href":"/dashboards/15553/revisions/1/download"},{"rel":"org","href":"/orgs/costrouc"},{"rel":"images","href":"/dashboards/15553/images"},{"rel":"thumbnails","href":"/dashboards/15553/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6404,"status":1,"statusCode":"active","orgId":111568,"orgSlug":"amarkelov","orgName":"Andrey Markelov","slug":"confluence","downloads":3359,"revisionId":8717,"revision":1,"name":"Confluence","description":"Shows Confluence JVM and usage metrics","readme":"Nearly all values exported by Prometheus Exporter For Confluence.\r\nAvailable on github: https://github.com/AndreyVMarkelov/prom-confluence-exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-06-06T14:04:19.000Z","updatedAt":"2018-06-06T14:20:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":2,"links":[{"rel":"self","href":"/dashboards/6404"},{"rel":"revisions","href":"/dashboards/6404/revisions"},{"rel":"revision","href":"/dashboards/6404/revisions/1"},{"rel":"download","href":"/dashboards/6404/revisions/1/download"},{"rel":"org","href":"/orgs/amarkelov"},{"rel":"images","href":"/dashboards/6404/images"},{"rel":"thumbnails","href":"/dashboards/6404/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11773,"status":1,"statusCode":"active","orgId":352721,"orgSlug":"sbelyankin","orgName":"sbelyankin","slug":"confluent-open-source","downloads":2054,"revisionId":16667,"revision":1,"name":"Confluent Open Source","description":"Confluent Open Source Grafana Dashboard v5.2.3","readme":"Confluent Grafana dashboard bundled with cp-helm-charts v5.2.3, source code: https://github.com/confluentinc/cp-helm-charts/blob/master/grafana-dashboard/confluent-open-source-grafana-dashboard.json. 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It displays general facts about the device (provisioning status, uptime, firmware version, ...) and detailed information on downstream/upstream channels, temperature and LAN devices.\r\n\r\n**To use this dashboard, you need the *connectbox-prometheus* exporter: [https://github.com/mbugert/connectbox-prometheus](https://github.com/mbugert/connectbox-prometheus).**\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-13T07:35:07.000Z","updatedAt":"2020-04-18T19:40:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12078"},{"rel":"revisions","href":"/dashboards/12078/revisions"},{"rel":"revision","href":"/dashboards/12078/revisions/3"},{"rel":"download","href":"/dashboards/12078/revisions/3/download"},{"rel":"org","href":"/orgs/mbugert"},{"rel":"images","href":"/dashboards/12078/images"},{"rel":"thumbnails","href":"/dashboards/12078/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22707,"status":1,"statusCode":"active","orgId":1326476,"orgSlug":"haiku4b7","orgName":"haiku4b7","slug":"connect-box","downloads":255,"revisionId":35812,"revision":1,"name":"Connect Box","description":"Dashboard for Compal CH7465LG cable modems (marketed as \"Connect Box\" by several carriers)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-01-17T00:38:31.000Z","updatedAt":"2025-01-17T00:42:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22707"},{"rel":"revisions","href":"/dashboards/22707/revisions"},{"rel":"revision","href":"/dashboards/22707/revisions/1"},{"rel":"download","href":"/dashboards/22707/revisions/1/download"},{"rel":"org","href":"/orgs/haiku4b7"},{"rel":"images","href":"/dashboards/22707/images"},{"rel":"thumbnails","href":"/dashboards/22707/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17336,"status":1,"statusCode":"active","orgId":393724,"orgSlug":"lonsofore","orgName":"lonsofore","slug":"connect-box","downloads":295,"revisionId":26644,"revision":1,"name":"Connect Box","description":"Dashboard for Compal CH7465LG cable modems (marketed as \"Connect Box\" by several carriers)","readme":"Fork of this dashboard: https://grafana.com/grafana/dashboards/12078-connect-box/\r\n\r\nFor this exporter: https://github.com/mbugert/connectbox-prometheus\r\n\r\nChanges:\r\n* Works with different hosts (not only with localhost)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-03T09:15:20.000Z","updatedAt":"2022-11-03T09:20:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17336"},{"rel":"revisions","href":"/dashboards/17336/revisions"},{"rel":"revision","href":"/dashboards/17336/revisions/1"},{"rel":"download","href":"/dashboards/17336/revisions/1/download"},{"rel":"org","href":"/orgs/lonsofore"},{"rel":"images","href":"/dashboards/17336/images"},{"rel":"thumbnails","href":"/dashboards/17336/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14930,"status":1,"statusCode":"active","orgId":396150,"orgSlug":"jongkwangkim","orgName":"jongkwangkim","slug":"connext-dashboard","downloads":312,"revisionId":22280,"revision":2,"name":"Connext Dashboard","description":"","readme":"# Conntext Grafana Dashboard\nConntext Grafana Dashboard is a monitoring tool for Conntext. 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Request Information\r\n- **Ingress Success Requests (non 4|5xx Responses)**: Rate of successful ingress requests.\r\n- **Ingress Failed Requests (4|5xx Responses)**: Rate of failed ingress requests.\r\n- **Ingress Success Rate (non-4|5xx Responses)**: Success rate of ingress requests excluding 4xx and 5xx responses.\r\n\r\n### 3. Service Summary\r\n- **Ingress**: Overall ingress metrics.\r\n- **Requests Per Second**: Rate of incoming requests per second.\r\n- **Connections Per Second**: Rate of active connections per second.\r\n- **Latency (P50, P90, P99)**: Latency metrics at 50th, 90th, and 99th percentiles.\r\n\r\n### 4. Throughput\r\n- **Upstream Network Traffic**: Network traffic to upstream services.\r\n\r\n### 5. Requests\r\n- **Total Active Requests**: Current active requests being processed.\r\n- **New Requests**: Rate of new requests coming in.\r\n- **Ingress Request Volume**: Volume of ingress requests over time.\r\n\r\n### 6. 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In Grafana unter **Connections → Data Sources** eine neue Quelle hinzufügen\r\n2. Typ: **PostgreSQL**\r\n3. Name: `CSDM`\r\n4. Datenbankname: `CSDM`\r\n5. Zugangsdaten entsprechend der lokalen CSDM-Konfiguration eintragen\r\n\r\n### Dashboard importieren\r\n\r\n1. In Grafana: **Dashboards → Import**\r\n2. JSON-Datei hochladen oder Grafana-ID eintragen\r\n3. Datasource `CSDM` auswählen\r\n4. 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19","description":"Dashboard tracking the spread of COVID-19 in the United States in realtime.","readme":"`covid_exporter` is a Node-based [Prometheus `exporter`][prometheus] providing\nreal-time updates on the spread of COVID-19 in the US. A preconfigured Docker\nimage is [available on Docker Hub][docker-hub] for easy deployment.\nAlternatively, it is available as a hosted Serverless function at\n[covid-prom.jesses.dev](https://covid-prom.jesses.dev).\n\nBuilds on the excellent data-wrangling and responsibly-socially-distanced\ncollaboration that's gone into [@NovelCOVID/API][api].\n\n[api]: https://github.com/@NovelCOVID/API\n[docker-hub]: https://hub.docker.com/r/jessestuart/covid_exporter\n[prometheus]: https://prometheus.io/docs/instrumenting/exporters/\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-22T08:49:15.000Z","updatedAt":"2020-03-22T08:58:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/11965"},{"rel":"revisions","href":"/dashboards/11965/revisions"},{"rel":"revision","href":"/dashboards/11965/revisions/1"},{"rel":"download","href":"/dashboards/11965/revisions/1/download"},{"rel":"org","href":"/orgs/jesses"},{"rel":"images","href":"/dashboards/11965/images"},{"rel":"thumbnails","href":"/dashboards/11965/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12013,"status":1,"statusCode":"active","orgId":366306,"orgSlug":"renatopicanco","orgName":"renatopicanco","slug":"covid-19","downloads":531,"revisionId":17087,"revision":1,"name":"Covid 19","description":"Acompanahmento do número de casos de COVID-19 no 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https://indiafightscovid19.online","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-07-01T16:22:58.000Z","updatedAt":"2020-07-17T08:27:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12560"},{"rel":"revisions","href":"/dashboards/12560/revisions"},{"rel":"revision","href":"/dashboards/12560/revisions/3"},{"rel":"download","href":"/dashboards/12560/revisions/3/download"},{"rel":"org","href":"/orgs/vikkyomkar25"},{"rel":"images","href":"/dashboards/12560/images"},{"rel":"thumbnails","href":"/dashboards/12560/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11949,"status":1,"statusCode":"active","orgId":358814,"orgSlug":"fortdigital","orgName":"fortdigital","slug":"covid-19","downloads":1195,"revisionId":16969,"revision":2,"name":"Covid-19","description":"Visualisation of Data from John Hopkins University of the Covid-19 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dashboard shows new coronavirus (COVID-19) infection statistics for Italy.\r\n\r\nSteps:\r\n\r\nwget https://raw.githubusercontent.com/pcm-dpc/COVID-19/master/dati-province/dpc-covid19-ita-province.csv\r\n\r\ncreate database covid19;\r\nuse covid19;\r\n\r\ncreate table province(\r\n data date,\r\n stato varchar(64),\r\n codice_regione int,\r\n denominazione_regione varchar(64),\r\n codice_provincia varchar(64),\r\n denominazione_provincia varchar(64),\r\n sigla_provincia varchar(2),\r\n latitude float,\r\n longitude float,\r\n totale_casi int);\r\n\r\nLOAD DATA LOCAL INFILE 'dpc-covid19-ita-province.csv' INTO TABLE province\r\nFIELDS TERMINATED BY ',' \r\nENCLOSED BY ''\r\nLINES TERMINATED BY '\\n'\r\nIGNORE 1 ROWS;\r\n\r\n-- Good luck!","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2020-03-11T10:56:27.000Z","updatedAt":"2020-03-18T18:37:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/11884"},{"rel":"revisions","href":"/dashboards/11884/revisions"},{"rel":"revision","href":"/dashboards/11884/revisions/2"},{"rel":"download","href":"/dashboards/11884/revisions/2/download"},{"rel":"org","href":"/orgs/meo"},{"rel":"images","href":"/dashboards/11884/images"},{"rel":"thumbnails","href":"/dashboards/11884/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":12039,"status":1,"statusCode":"active","orgId":367592,"orgSlug":"nick990","orgName":"nick990","slug":"covid-19","downloads":604,"revisionId":17198,"revision":3,"name":"Covid-19","description":"Covid 19 spread using daily report of ECDC.","readme":"This dashboard shows data about Covid-19 using the daily report published by [European Centre for Disease Prevention and Control (ECDC)](https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide).\n\nYou can find more details in my public GitHub repository [nick990/grafana-dashboards](https://github.com/nick990/grafana-dashboards) in folder `covid19-global` (TAG `v1.0.1`).\n\n## Quickstart\nFollow the instructions in **Readme** in order to create the DB SQL and to populate it.\nYou can find sample data in `data/sample.csv`.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Microsoft SQL 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repository.","readme":"This dashboard shows data about spread of Covid-19 in Italy using the daily report published by [Dipartimento della Protezione Civile](https://github.com/pcm-dpc/COVID-19).\n\nUser can select a Region to see the details.\n\nThere a lot of metric, the user can choose a subset and plot only the required ones.\nFor each metric, will be shown the time series with the moving average over 5 and 30 days.\n\nYou can find more details in my public GitHub repository [nick990/grafana-dashboards](https://github.com/nick990/grafana-dashboards) in folder `covid19-italy` (TAG `v2.0.0`).\n\n## Quickstart\nFollow the instructions in **Readme** in order to create the DB SQL and to populate it.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Microsoft SQL Server","privacy":"public","createdAt":"2020-04-22T13:56:11.000Z","updatedAt":"2020-04-22T14:21:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12152"},{"rel":"revisions","href":"/dashboards/12152/revisions"},{"rel":"revision","href":"/dashboards/12152/revisions/1"},{"rel":"download","href":"/dashboards/12152/revisions/1/download"},{"rel":"org","href":"/orgs/nick990"},{"rel":"images","href":"/dashboards/12152/images"},{"rel":"thumbnails","href":"/dashboards/12152/thumbnails"}],"datasourceSlugs":["mssql"]},{"id":11951,"status":1,"statusCode":"active","orgId":361962,"orgSlug":"fafefu","orgName":"fafefu","slug":"covid-19-ffentlich-zug-ngliche-information","downloads":382,"revisionId":16960,"revision":1,"name":"COVID-19 ÖFFENTLICH ZUGÄNGLICHE INFORMATION","description":"Coronavirusfälle basierend auf den Daten des Epidemiologischen Meldesystems EMS","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Microsoft SQL Server","privacy":"public","createdAt":"2020-03-19T17:01:59.000Z","updatedAt":"2020-03-19T17:02:37.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11951"},{"rel":"revisions","href":"/dashboards/11951/revisions"},{"rel":"revision","href":"/dashboards/11951/revisions/1"},{"rel":"download","href":"/dashboards/11951/revisions/1/download"},{"rel":"org","href":"/orgs/fafefu"},{"rel":"images","href":"/dashboards/11951/images"},{"rel":"thumbnails","href":"/dashboards/11951/thumbnails"}],"datasourceSlugs":["mssql"]},{"id":16301,"status":1,"statusCode":"active","orgId":646855,"orgSlug":"austinsuyoyo","orgName":"austinsuyoyo","slug":"covid-19-taiwan-dashboard","downloads":551,"revisionId":24854,"revision":7,"name":"Covid-19 Taiwan Dashboard","description":"Get Data from Set https://covid-19.nchc.org.tw/api/covid19","readme":"# Taiwan-COVID19-dashboard\r\n\r\n# Usage\r\n### 1. Install plugin\r\n* In Grafana, select `Plugins` -> search `JSON API`\r\n\r\n### 2. Add Data Source\r\n* In Grafana select `Data Sources` -> `Add datasource`\r\n* Set URL = https://covid-19.nchc.org.tw/api/covid19\r\n### 3. Import dashboard\r\n* In Grafana Import dashboard ID = 16301\r\n* Select JSON API datasource what you created last step\r\n# Screenshot\r\n![image](https://user-images.githubusercontent.com/15572804/169380437-53ca8f2a-f146-4cd4-8735-21efda5dbf9a.png)\r\n![image](https://user-images.githubusercontent.com/15572804/169380471-eabf6d2f-ce33-4039-8e84-c1b956dc6509.png)\r\n![image](https://user-images.githubusercontent.com/15572804/169380685-d609eab8-1c17-4718-8e9b-0a7546f22846.png)\r\n\r\n[Github](https://github.com/Austinsuyoyo/Taiwan-COVID19-Grafana-dashboard)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"JSON API","privacy":"public","createdAt":"2022-05-19T03:17:41.000Z","updatedAt":"2022-05-25T03:17:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16301"},{"rel":"revisions","href":"/dashboards/16301/revisions"},{"rel":"revision","href":"/dashboards/16301/revisions/7"},{"rel":"download","href":"/dashboards/16301/revisions/7/download"},{"rel":"org","href":"/orgs/austinsuyoyo"},{"rel":"images","href":"/dashboards/16301/images"},{"rel":"thumbnails","href":"/dashboards/16301/thumbnails"}],"datasourceSlugs":["marcusolsson-json-datasource"]},{"id":11938,"status":1,"statusCode":"active","orgId":338991,"orgSlug":"normander","orgName":"normander","slug":"covid-19-stats","downloads":343,"revisionId":17044,"revision":2,"name":"covid-19-stats","description":"https://github.com/normander/covid-19-stats","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-17T14:08:23.000Z","updatedAt":"2020-03-27T11:37:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11938"},{"rel":"revisions","href":"/dashboards/11938/revisions"},{"rel":"revision","href":"/dashboards/11938/revisions/2"},{"rel":"download","href":"/dashboards/11938/revisions/2/download"},{"rel":"org","href":"/orgs/normander"},{"rel":"images","href":"/dashboards/11938/images"},{"rel":"thumbnails","href":"/dashboards/11938/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11987,"status":1,"statusCode":"active","orgId":364043,"orgSlug":"bernardolankheet","orgName":"bernardolankheet","slug":"covid19","downloads":1355,"revisionId":17036,"revision":1,"name":"COVID19","description":"Dashboard Covid19 to Zabbix.\n\nhttps://github.com/bernardolankheet/ZBX-GRA-COVID19\n\nHomologated:\nZabbix 4.2.8, 4.4.4 and 4.4.7\n\nGrafana 6.6.2, 6.7.1\n\nRequired plugins:\n1) grafana-worldmap-panel - https://grafana.com/grafana/plugins/grafana-worldmap-panel\n2) alexanderzobnin-zabbix-app - https://grafana.com/grafana/plugins/alexanderzobnin-zabbix-app","readme":"EN-US\n\nHomologated:\n\nZabbix 4.2.8, 4.4.4 and 4.4.7\n\nGrafana 6.6.2, 6.7.1\n\nRequired plugins:\n\n1) grafana-worldmap-panel - https://grafana.com/grafana/plugins/grafana-worldmap-panel\n2) alexanderzobnin-zabbix-app - https://grafana.com/grafana/plugins/alexanderzobnin-zabbix-app\n\nImport Template_Module_HTTP_LLD_W_Corona into Zabbix\n\nCreate a host with the name \"CORONA-COVID19\", you can use the local interface (127.0.0.1: 10050) and the Hostgroup use the name \"CORONAVIRUS\" and link the template to the host.\n\nWait for data collection, or use the function \"Check now\" in the item and in the LLD to speed up the collection\n\nImports the Dashboard in Grafana\n\nWhen importing the Template into Garfana, select your Data Source.\n\nNote: If the list does not appear in countries, check if the applications and items were generated in Zabbix.\n\nPR-BR\n\nHomologado: \n\nZabbix 4.2.8, 4.4.4 e 4.4.7\n\nGrafana 6.6.2, 6.7.1\n\nPlugins necessarios: \n\n1) grafana-worldmap-panel  - 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","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-06-05T15:29:35.000Z","updatedAt":"2021-06-05T15:33:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14546"},{"rel":"revisions","href":"/dashboards/14546/revisions"},{"rel":"revision","href":"/dashboards/14546/revisions/1"},{"rel":"download","href":"/dashboards/14546/revisions/1/download"},{"rel":"org","href":"/orgs/ttnk"},{"rel":"images","href":"/dashboards/14546/images"},{"rel":"thumbnails","href":"/dashboards/14546/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16321,"status":1,"statusCode":"active","orgId":651437,"orgSlug":"franchinis","orgName":"franchinis","slug":"css-playground","downloads":358,"revisionId":24852,"revision":1,"name":"css-playground","description":"Telematics Dashboard Playground - Visualize CANedge J1939 Data","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-05-24T10:28:33.000Z","updatedAt":"2022-05-24T10:29:11.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16321"},{"rel":"revisions","href":"/dashboards/16321/revisions"},{"rel":"revision","href":"/dashboards/16321/revisions/1"},{"rel":"download","href":"/dashboards/16321/revisions/1/download"},{"rel":"org","href":"/orgs/franchinis"},{"rel":"images","href":"/dashboards/16321/images"},{"rel":"thumbnails","href":"/dashboards/16321/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17899,"status":1,"statusCode":"active","orgId":514092,"orgSlug":"dan576b","orgName":"dan576b","slug":"css-playground","downloads":356,"revisionId":27442,"revision":1,"name":"css-playground","description":"Telematics Dashboard Playground - Visualize CANedge J1939 Data","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-01-18T05:32:32.000Z","updatedAt":"2023-01-18T05:34:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17899"},{"rel":"revisions","href":"/dashboards/17899/revisions"},{"rel":"revision","href":"/dashboards/17899/revisions/1"},{"rel":"download","href":"/dashboards/17899/revisions/1/download"},{"rel":"org","href":"/orgs/dan576b"},{"rel":"images","href":"/dashboards/17899/images"},{"rel":"thumbnails","href":"/dashboards/17899/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12352,"status":1,"statusCode":"active","orgId":385800,"orgSlug":"scipionfacilities","orgName":"scipionfacilities","slug":"ctf","downloads":312,"revisionId":17675,"revision":1,"name":"CTF","description":"Show a summary of CTF related information in a Scipion project","readme":"DashBoard used for visualizing scipion (scipion.i2pc.es) CTF activity. 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Per-op p50/p95/p99 latency from eBPF uprobes on libcudart and libcuda. Find your slowest kernel: top-10 slowest p99 table, per-op timeseries, op rate. Covers cudaMemcpy, cudaLaunchKernel, cuLaunchKernel, cuMemAlloc_v2, cuCtxSynchronize, cuda graphs, host tracepoints.","readme":"## What this dashboard shows\r\n\r\nA single-host CUDA Runtime + Driver operation profiler. Per-op\r\np50 / p95 / p99 latency, captured by eBPF uprobes on `libcudart`\r\nand `libcuda`. The \"find my slow kernel\" view.\r\n\r\nThe headline panels:\r\n\r\n- **Slowest p99 (current)** - top stat. Worst p99 across all\r\n  selected ops in microseconds.\r\n- **p99 duration per operation** - tail latency time series.\r\n  Spikes here surface kernels that occasionally take much longer\r\n  than their median (often hardware contention or compiler-output\r\n  divergence).\r\n- **p50 / p95 duration per operation** - median + tail.\r\n- **Op rate per operation** - per-op frequency. A slow op that\r\n  fires rarely matters less than a slow op that fires constantly.\r\n- **Top 10 slowest ops by p99 (table)** - quick triage list.\r\n- **Anomaly count** - rate of `ingero_anomaly_count` from the\r\n  agent's correlator output.\r\n\r\nSource + operation template variables let you scope to a specific\r\ntracer (cuda / driver / cuda_graph / host / io / tcp / net) or\r\nspecific op family (cudaMemcpy*, cudaMalloc*, cuLaunchKernel*,\r\nsched_switch, block_rq_*, etc).\r\n\r\nLinux only. amd64 + arm64.\r\n\r\n## How the data is collected\r\n\r\n**Install the Ingero agent:**\r\n\r\n```\r\ncurl -sSL https://github.com/ingero-io/ingero/releases/latest/download/install.sh | bash\r\n```\r\n\r\n**Run with the Prometheus exporter:**\r\n\r\n```\r\nsudo ingero trace --prometheus :9090\r\n```\r\n\r\n**Scrape and import:**\r\n\r\nScrape `:9090/metrics` from your Prometheus / Grafana Alloy /\r\nGrafana Cloud agent. Import this dashboard, pick your Prometheus\r\ndatasource.\r\n\r\nThe agent exposes per-op latency reservoirs via:\r\n\r\n- `gpu_cuda_operation_duration_microseconds{source,operation,percentile}`\r\n  with `percentile` in {p50, p95, p99}\r\n- `gpu_cuda_operation_count_total{source,operation}` (cumulative\r\n  rate)\r\n- `ingero_anomaly_count` (correlator output)\r\n\r\n## Source decoder\r\n\r\nThe `source` label distinguishes which tracer captured the event:\r\n\r\n- `cuda` - libcudart Runtime API uprobes (cudaMemcpy, cudaMalloc,\r\n  cudaLaunchKernel, cudaStreamSynchronize, etc.)\r\n- `driver` - libcuda Driver API uprobes (cuLaunchKernel,\r\n  cuCtxSynchronize, cuMemAlloc_v2, etc.)\r\n- `cuda_graph` - CUDA Graph capture / launch ops\r\n- `host` - host kernel tracepoints (sched_switch, page_fault, etc.)\r\n- `io` - block I/O tracepoints (block_rq_issue / complete)\r\n- `tcp` - TCP retransmit tracepoints\r\n- `net` - network socket syscalls (sendto / recvfrom)\r\n\r\n## Why eBPF over CUDA profilers\r\n\r\n`nvprof`, `nsys`, and the CUPTI library all hook the CUDA driver\r\nthrough the official profiling interface. They give detailed\r\nsingle-process traces but require attaching at process start and\r\nadd measurable overhead. 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Use this Grafana Dashboard to visualize the most important metrics.\r\nJust configure a Prometheus data source in Grafana that is set up to scrape metrics from the Curity Identity Server. Then simply import the sashboard and explore the metrics.\r\n\r\n**Note:** Since revision 8 this dashboard is configured to work with versions of the Curity Identity Server from 7.4. onwards. For previous versions of the Curity Identity Server use revision 7 of the dashboard.\r\n\r\n## Updates\r\nThe dashboard was updated to Grafana 9.6.1 and the old graph panel was replaced by time series. Rate queries now make use of the `$__rate_interval` variable.\r\nSome queries of the dashboard were simplified. For example, the dashboard now summarizes memory areas and shows a graph for heap and non-heap memory providing a better overview. Also, SSO rate and Login rate show a summary for each authentication method (ACR) over all instances (instead of for every single instance).\r\n\r\nA new section for metrics related to JDBC data sources was introduced that provides an overview such as the work load or processing time of an JDBC data source. This feature was introduced in Curity Identity Server 7.4.\r\n\r\n## Structure of the Dashboard\r\nThe Dashboard is divided into several sections.\r\n* On the top there is a summary of all instances of Curity Identity Server targeted by the datasource.\r\n* For each selected instance another summary including the status, cpu, memory and logs is shown.\r\n* The performance section shows metrics including HTTP timing and datasource access time\r\n* The authentication section lists metrics related to tokens and logins.\r\n\r\n### Summary\r\nThe overall summary shows the number of tokens issued, sso events and login events registered during the selected dashboard time. It also gives an indication over the status of all instances. If any of the instances is down, registered an error or debug logs the dashboard will show a warning, giving you a quick overview if something needs to be fixed.\r\n\r\n### Instance Summary\r\nThis section lists the status per selected instance. It shows if the service is up and if any error or debug messages were registered. In addition the section prints the current CPU and memory usage as well as statistics about the log messages collected.\r\n\r\n### Performance\r\nThe performance section views CPU and memory usage in more detail. It also provides graphs for the time needed to process HTTP or datasource requests.\r\n\r\n### Authentication\r\nIn this section you see details about authentication related events. Rates are calculated per seconds and give you an indication over how busy the system is.\r\n\r\n### JDBC Connection Pool\r\nThis sections includes metrics related to the connection pool of JDBC data sources. It provides information about the work load, that is the ratio of available to active connections, processing and waiting time as well as the number of pending threads waiting to get an active connection assigned.\r\n\r\n## Contribution\r\nFeedback and contribution is welcome. Contact us at grafana@curity.io.\r\nFeel free to improve the dashboard by contributing to the repository on [GitHub](https://github.com/curityio/grafana).\r\n\r\n## Further Information\r\nA detailed description of the dashboard can be found in [Curity's resource library](https://curity.io/resources/learn/grafana-dashboard/).\r\n\r\nFor more information about Curity Identity Server please visit [https://curity.io](https://curity.io)\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-02-14T19:15:53.000Z","updatedAt":"2022-11-15T14:04:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11735"},{"rel":"revisions","href":"/dashboards/11735/revisions"},{"rel":"revision","href":"/dashboards/11735/revisions/9"},{"rel":"download","href":"/dashboards/11735/revisions/9/download"},{"rel":"org","href":"/orgs/curity"},{"rel":"images","href":"/dashboards/11735/images"},{"rel":"thumbnails","href":"/dashboards/11735/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17030,"status":1,"statusCode":"active","orgId":711873,"orgSlug":"directwinescurity","orgName":"directwinesidsvr","slug":"curity-identity-server","downloads":301,"revisionId":26137,"revision":1,"name":"Curity Identity Server","description":"An integration with Prometheus standards metrics allows you to collect system statistics and monitor the health of your Curity Cluster. 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For example, scheduler metrics from dashboard.dask:8787/metrics are collected using:\r\n```\r\n    - job_name: 'dask-scheduler'\r\n      scrape_interval: 5s\r\n      static_configs:\r\n        - targets: ['dashboard.dask:8787']\r\n```\r\n\r\nWorker metrics from workers spawned with [Dask Kubernetes](https://kubernetes.dask.org/en/latest/) can be collected in-cluster via the following job:\r\n```\r\n    - job_name: 'dask-workers'\r\n      kubernetes_sd_configs:\r\n        - role: pod\r\n      relabel_configs:\r\n        - source_labels: [__meta_kubernetes_pod_label_app, __meta_kubernetes_pod_label_dask_org_component]\r\n          regex: dask;worker\r\n          action: keep\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-07T15:52:09.000Z","updatedAt":"2020-01-16T16:31:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11522"},{"rel":"revisions","href":"/dashboards/11522/revisions"},{"rel":"revision","href":"/dashboards/11522/revisions/2"},{"rel":"download","href":"/dashboards/11522/revisions/2/download"},{"rel":"org","href":"/orgs/ig248"},{"rel":"images","href":"/dashboards/11522/images"},{"rel":"thumbnails","href":"/dashboards/11522/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12892,"status":1,"statusCode":"active","orgId":397368,"orgSlug":"tomaugspurger","orgName":"tomaugspurger","slug":"dask","downloads":503,"revisionId":18631,"revision":1,"name":"dask","description":"Monitor an auto-scaling Dask cluster, including a dynamic view of active workers. ","readme":"Testing changes to https://grafana.com/grafana/dashboards/11522 before upstreaming.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-08-26T02:45:38.000Z","updatedAt":"2020-08-26T02:46:14.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12892"},{"rel":"revisions","href":"/dashboards/12892/revisions"},{"rel":"revision","href":"/dashboards/12892/revisions/1"},{"rel":"download","href":"/dashboards/12892/revisions/1/download"},{"rel":"org","href":"/orgs/tomaugspurger"},{"rel":"images","href":"/dashboards/12892/images"},{"rel":"thumbnails","href":"/dashboards/12892/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13378,"status":1,"statusCode":"active","orgId":435297,"orgSlug":"andreagiardini","orgName":"andreagiardini","slug":"dask","downloads":1933,"revisionId":19464,"revision":1,"name":"Dask multi-cluster dashboard","description":"Monitor an auto-scaling Dask cluster on Kubernetes","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-10T12:29:24.000Z","updatedAt":"2020-11-10T12:30:21.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13378"},{"rel":"revisions","href":"/dashboards/13378/revisions"},{"rel":"revision","href":"/dashboards/13378/revisions/1"},{"rel":"download","href":"/dashboards/13378/revisions/1/download"},{"rel":"org","href":"/orgs/andreagiardini"},{"rel":"images","href":"/dashboards/13378/images"},{"rel":"thumbnails","href":"/dashboards/13378/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17232,"status":1,"statusCode":"active","orgId":719448,"orgSlug":"ibraheem2000726","orgName":"ibraheem2000726","slug":"data-from-the-matlab-using-google-sheet","downloads":302,"revisionId":26468,"revision":1,"name":"data from the matlab using google sheet","description":"radial network data ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Google Sheets","privacy":"public","createdAt":"2022-10-20T11:33:50.000Z","updatedAt":"2022-10-20T11:35:01.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17232"},{"rel":"revisions","href":"/dashboards/17232/revisions"},{"rel":"revision","href":"/dashboards/17232/revisions/1"},{"rel":"download","href":"/dashboards/17232/revisions/1/download"},{"rel":"org","href":"/orgs/ibraheem2000726"},{"rel":"images","href":"/dashboards/17232/images"},{"rel":"thumbnails","href":"/dashboards/17232/thumbnails"}],"datasourceSlugs":["grafana-googlesheets-datasource"]},{"id":13400,"status":1,"statusCode":"active","orgId":436133,"orgSlug":"monitoring5","orgName":"monitoring5","slug":"database-query-metrics","downloads":349,"revisionId":19508,"revision":1,"name":"Database Query Metrics","description":"Grafana dashboard showing database metrics exported from Replex dashboards.","readme":"To use this dashboard, you must be running the Replex components which include:\n - Aggregator\n - Server\n - Replex Agent \n - Pushgateway\n\nFor more details, check out https://www.replex.io/technology","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-13T12:45:55.000Z","updatedAt":"2020-11-13T18:26:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13400"},{"rel":"revisions","href":"/dashboards/13400/revisions"},{"rel":"revision","href":"/dashboards/13400/revisions/1"},{"rel":"download","href":"/dashboards/13400/revisions/1/download"},{"rel":"org","href":"/orgs/monitoring5"},{"rel":"images","href":"/dashboards/13400/images"},{"rel":"thumbnails","href":"/dashboards/13400/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18408,"status":1,"statusCode":"active","orgId":196739,"orgSlug":"redis","orgName":"Redis","slug":"database-status-dashboard","downloads":1212,"revisionId":29199,"revision":2,"name":"Database Status Dashboard","description":"","readme":"# Redis Enterprise Software Database Dashboards\r\n\r\nThis dashboard summarizes metrics for your [Redis Enterprise Software](https://docs.redis.com/latest/rs/) databases. Some of the available metrics include the following:\r\n\r\n* Latency\r\n* Memory usage\r\n* Operations per second\r\n* Key count\r\n* Expired keys\r\n* Connection count\r\n* Cache misses\r\n* CPU\r\n\r\n## Redis Software Dashboards\r\n\r\nTo effectively monitor your Redis Enterprise Software deployment, we recommend the following Grafana dashboards:\r\n* [Redis Software Cluster Dashboard]()\r\n* [Redis Software Database Dashboard]()\r\n\r\nIn addition to these dashboards, we recommend the cluster node and shard dashboards:\r\n* [Redis Software Cluster Node Dashboard](https://github.com/redis-field-engineering/redis-enterprise-grafana-dashboards/blob/main/dashboards/software/basic/redis-software-node-dashboard.json)\r\n* [Redis Software Shard Dashboard](https://github.com/redis-field-engineering/redis-enterprise-grafana-dashboards/blob/main/dashboards/software/basic/redis-software-shard-dashboard.json)\r\n\r\n## Documentation\r\n\r\nTo view the complete set of available Redis Cloud dashboards, see the [Redis Enterprise Grafana Dashboards Github repository](https://github.com/redis-field-engineering/redis-enterprise-grafana-dashboards).\r\n\r\n## Support\r\n\r\nThe Redis Grafana dashboards are supported by Redis, Inc. on a good faith effort basis. To report bugs, request features, or receive assistance, please [file an issue](https://github.com/redis-field-engineering/redis-enterprise-grafana-dashboards/issues).\r\n\r\n## License\r\n\r\nThese dashboards and configurations are licensed under the MIT License. Copyright (C) 2023 Redis, Inc.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-31T23:00:00.000Z","updatedAt":"2023-06-27T22:56:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18408"},{"rel":"revisions","href":"/dashboards/18408/revisions"},{"rel":"revision","href":"/dashboards/18408/revisions/2"},{"rel":"download","href":"/dashboards/18408/revisions/2/download"},{"rel":"org","href":"/orgs/redis"},{"rel":"images","href":"/dashboards/18408/images"},{"rel":"thumbnails","href":"/dashboards/18408/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5122,"status":1,"statusCode":"active","orgId":113353,"orgSlug":"kviotto","orgName":"Kleber Viotto","slug":"zabbix-tv-copy","downloads":2976,"revisionId":6823,"revision":1,"name":"Datacenter Dashboard TV","description":"Monitoria dos servidores Cloud","readme":"Dashboard de monitoramento Datacenter Modelo Cloud.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2018-03-16T17:08:16.000Z","updatedAt":"2018-03-16T17:13:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5122"},{"rel":"revisions","href":"/dashboards/5122/revisions"},{"rel":"revision","href":"/dashboards/5122/revisions/1"},{"rel":"download","href":"/dashboards/5122/revisions/1/download"},{"rel":"org","href":"/orgs/kviotto"},{"rel":"images","href":"/dashboards/5122/images"},{"rel":"thumbnails","href":"/dashboards/5122/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":20464,"status":1,"statusCode":"active","orgId":193429,"orgSlug":"aerospike","orgName":"Aerospike","slug":"datacenter-comparison-v14","downloads":273,"revisionId":31617,"revision":1,"name":"Datacenter_Comparison v14","description":"The datacenter comparison dashboard helps to visualise the differences between clusters by comparing various resources at cluster and namespace level.","readme":"Aerospike Datacenter/Cluster comparision dashboard for [Aerospike Monitoring Stack](https://docs.aerospike.com/monitorstack)\r\n\r\nSee [Aerospike Monitoring Stack Architecture](https://docs.aerospike.com/monitorstack/new/components-of-monitoring-stack) and [Aerospike Monitoring Stack Installation](https://docs.aerospike.com/monitorstack/new/installing-components) for more details","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, Prometheus","privacy":"public","createdAt":"2024-02-13T06:17:36.000Z","updatedAt":"2024-02-21T05:14:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20464"},{"rel":"revisions","href":"/dashboards/20464/revisions"},{"rel":"revision","href":"/dashboards/20464/revisions/1"},{"rel":"download","href":"/dashboards/20464/revisions/1/download"},{"rel":"org","href":"/orgs/aerospike"},{"rel":"images","href":"/dashboards/20464/images"},{"rel":"thumbnails","href":"/dashboards/20464/thumbnails"}],"datasourceSlugs":["__expr__","prometheus"]},{"id":23050,"status":1,"statusCode":"active","orgId":515026,"orgSlug":"datacore","orgName":"datacore","slug":"gateway-listing-cache-v2-0","downloads":258,"revisionId":36402,"revision":1,"name":"DataCore Gateway Listing Cache v2.0","description":"internal dashboard for gateway 8.2.1 , listing cache and XMD","readme":"this dashboard exposes internal metrics for listing cache feature of gateway v8.2.1","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-03-10T12:05:45.000Z","updatedAt":"2025-03-10T12:07:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23050"},{"rel":"revisions","href":"/dashboards/23050/revisions"},{"rel":"revision","href":"/dashboards/23050/revisions/1"},{"rel":"download","href":"/dashboards/23050/revisions/1/download"},{"rel":"org","href":"/orgs/datacore"},{"rel":"images","href":"/dashboards/23050/images"},{"rel":"thumbnails","href":"/dashboards/23050/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9819,"status":1,"statusCode":"active","orgId":235560,"orgSlug":"lblanc","orgName":"lblanc","slug":"datacore-monitor-v1-2","downloads":370,"revisionId":13674,"revision":1,"name":"DataCore Monitor V1.2","description":"You can find all details to run it on https://github.com/lblanc/grafana-integration","readme":"## Docker Image with Telegraf, InfluxDB and Grafana with dashboard & REST script included for [DataCore SANsymphony](http://www.datacore.com)\r\n\r\nYou can find all details to run it on [GitHub](https://github.com/lblanc/grafana-integration)\r\n\r\n\r\n[![License](http://img.shields.io/:license-mit-blue.svg)](http://octopress.mit-license.org)\r\n\r\n\r\nGoal is to have grafana, influxdb and python script running to grab DataCore SANsymphony REST API performances\r\n\r\n\r\n# Quick Start\r\n\r\nTo start the container the first time launch this by replacing -e variables:\r\n* DCSSVR ->  DataCore Server (IP or hostname)\r\n* DCSREST -> DataCore Rest API Server(IP or hostname)\r\n* DCSUNAME -> DataCore User name\r\n* DCSPWORD -> DataCore user password\r\n\r\n```sh\r\ndocker run --ulimit nofile=66000:66000 \\\r\n  -d \\\r\n  --name grafana-datacore \\\r\n  -p 3000:3000 \\\r\n  -p 8888:8888 \\\r\n  -p 8086:8086 \\\r\n  -p 22022:22 \\\r\n  -p 8125:8125/udp \\\r\n  -e \"DCSSVR=X.X.X.X\" \\\r\n  -e \"DCSREST=X.X.X.X\" \\\r\n  -e \"DCSUNAME=administrator\" \\\r\n  -e \"DCSPWORD=password\" \\\r\n  lblanc/grafana-integration:latest\r\n```\r\nIf you have special characters in the password, do not forget the escapement '' before (ex: \"password!\" will be \"password\\\\!\")\r\n\r\n\r\nIf you want to monitor also vSphere you can add this variables:\r\n* VSPHERE_USER -> vSphere user\r\n* VSPHERE_PASS -> vSphere password\r\n* VSPHERE_VCENTER -> vSphere vCenter (IP or hostname)\r\n* VSPHERE_DOM -> vSphere domain\r\n\r\n```sh\r\ndocker run --ulimit nofile=66000:66000 \\\r\n  -d \\\r\n  --name grafana-datacore \\\r\n  -p 3000:3000 \\\r\n  -p 8888:8888 \\\r\n  -p 8086:8086 \\\r\n  -p 22022:22 \\\r\n  -p 8125:8125/udp \\\r\n  -e \"DCSSVR=X.X.X.X\" \\\r\n  -e \"DCSREST=X.X.X.X\" \\\r\n  -e \"DCSUNAME=administrator\" \\\r\n  -e \"DCSPWORD=password\" \\\r\n  -e \"VSPHERE_USER=administrator@vsphere.local\" \\\r\n  -e \"VSPHERE_PASS=password\" \\\r\n  -e \"VSPHERE_VCENTER=X.X.X.X\" \\\r\n  lblanc/grafana-integration:latest\r\n```\r\n\r\nTo stop the container launch:\r\n```sh\r\ndocker stop grafana-datacore\r\n```\r\n\r\n\r\nTo start the container again launch:\r\n```sh\r\ndocker start grafana-datacore\r\n```\r\n\r\n# Persistent data\r\n\r\nYou can optionaly add volume option to store Grafana configuration and influxdb files\r\nExample:\r\n```sh\r\ndocker run --ulimit nofile=66000:66000 \\\r\n  -d \\\r\n  --name grafana-datacore \\\r\n  -p 3000:3000 \\\r\n  -p 8888:8888 \\\r\n  -p 8086:8086 \\\r\n  -p 22022:22 \\\r\n  -p 8125:8125/udp \\\r\n  -v my-volume:/data \\\r\n  -e \"DCSSVR=X.X.X.X\" \\\r\n  -e \"DCSREST=X.X.X.X\" \\\r\n  -e \"DCSUNAME=administrator\" \\\r\n  -e \"DCSPWORD=password\" \\\r\n  -e \"VSPHERE_USER=administrator@vsphere.local\" \\\r\n  -e \"VSPHERE_PASS=password\" \\\r\n  -e \"VSPHERE_VCENTER=X.X.X.X\" \\\r\n  lblanc/grafana-integration:latest\r\n```\r\n\r\n\r\n# Mapped Ports\r\n\r\n```\r\nHost\t\tContainer\t\tService\r\n\r\n3000\t\t3000\t\t\tgrafana\r\n8888\t\t8888\t\t\tchronograf\r\n8086\t\t8086\t\t\tinfluxdb\r\n8125\t\t8125\t\t\tstatsd\r\n22022\t\t22        sshd\r\n```\r\n\r\n\r\n# SSH\r\n\r\n```sh\r\nssh root@localhost -p 22022\r\n```\r\nPassword: root\r\n\r\n\r\n# Grafana\r\n\r\nOpen <http://localhost:3000>\r\n\r\n```\r\nUsername: grafana\r\nPassword: grafana\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-02-19T17:37:10.000Z","updatedAt":"2019-02-19T17:41:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9819"},{"rel":"revisions","href":"/dashboards/9819/revisions"},{"rel":"revision","href":"/dashboards/9819/revisions/1"},{"rel":"download","href":"/dashboards/9819/revisions/1/download"},{"rel":"org","href":"/orgs/lblanc"},{"rel":"images","href":"/dashboards/9819/images"},{"rel":"thumbnails","href":"/dashboards/9819/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9818,"status":1,"statusCode":"active","orgId":235560,"orgSlug":"lblanc","orgName":"lblanc","slug":"datacore-overview-v1","downloads":347,"revisionId":13673,"revision":1,"name":"DataCore Overview V1","description":"You can find all details to run it on GitHub https://github.com/lblanc/grafana-integration","readme":"## Docker Image with Telegraf, InfluxDB and Grafana with dashboard & REST script included for [DataCore SANsymphony](http://www.datacore.com)\r\n\r\nYou can find all details to run it on [GitHub](https://github.com/lblanc/grafana-integration)\r\n\r\n[![License](http://img.shields.io/:license-mit-blue.svg)](http://octopress.mit-license.org)\r\n\r\n\r\nGoal is to have grafana, influxdb and python script running to grab DataCore SANsymphony REST API performances\r\n\r\n\r\n# Quick Start\r\n\r\nTo start the container the first time launch this by replacing -e variables:\r\n* DCSSVR ->  DataCore Server (IP or hostname)\r\n* DCSREST -> DataCore Rest API Server(IP or hostname)\r\n* DCSUNAME -> DataCore User name\r\n* DCSPWORD -> DataCore user password\r\n\r\n```sh\r\ndocker run --ulimit nofile=66000:66000 \\\r\n  -d \\\r\n  --name grafana-datacore \\\r\n  -p 3000:3000 \\\r\n  -p 8888:8888 \\\r\n  -p 8086:8086 \\\r\n  -p 22022:22 \\\r\n  -p 8125:8125/udp \\\r\n  -e \"DCSSVR=X.X.X.X\" \\\r\n  -e \"DCSREST=X.X.X.X\" \\\r\n  -e \"DCSUNAME=administrator\" \\\r\n  -e \"DCSPWORD=password\" \\\r\n  lblanc/grafana-integration:latest\r\n```\r\nIf you have special characters in the password, do not forget the escapement '' before (ex: \"password!\" will be \"password\\\\!\")\r\n\r\n\r\nIf you want to monitor also vSphere you can add this variables:\r\n* VSPHERE_USER -> vSphere user\r\n* VSPHERE_PASS -> vSphere password\r\n* VSPHERE_VCENTER -> vSphere vCenter (IP or hostname)\r\n* VSPHERE_DOM -> vSphere domain\r\n\r\n```sh\r\ndocker run --ulimit nofile=66000:66000 \\\r\n  -d \\\r\n  --name grafana-datacore \\\r\n  -p 3000:3000 \\\r\n  -p 8888:8888 \\\r\n  -p 8086:8086 \\\r\n  -p 22022:22 \\\r\n  -p 8125:8125/udp \\\r\n  -e \"DCSSVR=X.X.X.X\" \\\r\n  -e \"DCSREST=X.X.X.X\" \\\r\n  -e \"DCSUNAME=administrator\" \\\r\n  -e \"DCSPWORD=password\" \\\r\n  -e \"VSPHERE_USER=administrator@vsphere.local\" \\\r\n  -e \"VSPHERE_PASS=password\" \\\r\n  -e \"VSPHERE_VCENTER=X.X.X.X\" \\\r\n  lblanc/grafana-integration:latest\r\n```\r\n\r\nTo stop the container launch:\r\n```sh\r\ndocker stop grafana-datacore\r\n```\r\n\r\n\r\nTo start the container again launch:\r\n```sh\r\ndocker start grafana-datacore\r\n```\r\n\r\n# Persistent data\r\n\r\nYou can optionaly add volume option to store Grafana configuration and influxdb files\r\nExample:\r\n```sh\r\ndocker run --ulimit nofile=66000:66000 \\\r\n  -d \\\r\n  --name grafana-datacore \\\r\n  -p 3000:3000 \\\r\n  -p 8888:8888 \\\r\n  -p 8086:8086 \\\r\n  -p 22022:22 \\\r\n  -p 8125:8125/udp \\\r\n  -v my-volume:/data \\\r\n  -e \"DCSSVR=X.X.X.X\" \\\r\n  -e \"DCSREST=X.X.X.X\" \\\r\n  -e \"DCSUNAME=administrator\" \\\r\n  -e \"DCSPWORD=password\" \\\r\n  -e \"VSPHERE_USER=administrator@vsphere.local\" \\\r\n  -e \"VSPHERE_PASS=password\" \\\r\n  -e \"VSPHERE_VCENTER=X.X.X.X\" \\\r\n  lblanc/grafana-integration:latest\r\n```\r\n\r\n\r\n# Mapped Ports\r\n\r\n```\r\nHost\t\tContainer\t\tService\r\n\r\n3000\t\t3000\t\t\tgrafana\r\n8888\t\t8888\t\t\tchronograf\r\n8086\t\t8086\t\t\tinfluxdb\r\n8125\t\t8125\t\t\tstatsd\r\n22022\t\t22        sshd\r\n```\r\n\r\n\r\n# SSH\r\n\r\n```sh\r\nssh root@localhost -p 22022\r\n```\r\nPassword: root\r\n\r\n\r\n# Grafana\r\n\r\nOpen <http://localhost:3000>\r\n\r\n```\r\nUsername: grafana\r\nPassword: 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See DataCore Swarm Documentation ( https://docs.datacore.com/swarm ) on instructions for enabling Swarm metrics.","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2025-03-10T11:30:12.000Z","updatedAt":"2025-03-10T11:52:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23045"},{"rel":"revisions","href":"/dashboards/23045/revisions"},{"rel":"revision","href":"/dashboards/23045/revisions/1"},{"rel":"download","href":"/dashboards/23045/revisions/1/download"},{"rel":"org","href":"/orgs/datacore"},{"rel":"images","href":"/dashboards/23045/images"},{"rel":"thumbnails","href":"/dashboards/23045/thumbnails"}]},{"id":14666,"status":1,"statusCode":"active","orgId":515026,"orgSlug":"datacore","orgName":"datacore","slug":"videoclipping-dashboard-v1-0-1","downloads":307,"revisionId":21760,"revision":1,"name":"DataCore VideoClipping Dashboard v1.0.1","description":"This Dashboard shows the dynamic feature metrics","readme":"This dashboard shows the metrics for our dynamic feature called videoclipping, an optional addon for the Swarm Content Gateway.","collectorType":"nodeExporter","collectorConfig":"No special config required, if your prometheus configuration is already pointed at a Swarm Content Gateway it will automatically pick up additional features for the videoclipping dynamic feature.","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-07-01T16:20:13.000Z","updatedAt":"2021-07-01T16:21:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14666"},{"rel":"revisions","href":"/dashboards/14666/revisions"},{"rel":"revision","href":"/dashboards/14666/revisions/1"},{"rel":"download","href":"/dashboards/14666/revisions/1/download"},{"rel":"org","href":"/orgs/datacore"},{"rel":"images","href":"/dashboards/14666/images"},{"rel":"thumbnails","href":"/dashboards/14666/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14316,"status":1,"statusCode":"active","orgId":231237,"orgSlug":"xander1402","orgName":"xander1402","slug":"datamark-by","downloads":379,"revisionId":21147,"revision":9,"name":"Datamark.by","description":"Сбор метрик личного кабинета \"Электронный знак\"","readme":"Работает на Powershell 5 начиная с Win7SP1/Win8.1/Win2012.  \n\nКоманды:\n* **Get-DatamarkBYOrders** - сбор метрик по заказам\n* **Get-DatamarkBYShips** - сбор метрик по отгрузкам\n* **Get-DatamarkBYMetrics** - сбор всех метрик  \n\nПараметры:\n* **username** - имя пользователя\n* **password** - пароль\n* **hash** - имя файла, содержащего зашифрованные имя пользователя и пароль\n* **days_from** - начало даты запроса метрик в днях от текущей даты\n* **days_to** - конец даты запроса метрик в днях от текущей даты\n* **uri** - адрес API  \n\nПри перовом запуске команд с параметрами username и password будет создаваться два файла, имена которых являются хэши данных аутентификации и токена. Расположение файлов зависит от имени пользователя, под которым запускается служба сборщика метрик Telegraf (для пользователя \"Локальная система\" это каталог \"Windows\\System32\"). Для того, чтобы не хранить данные аутентификации (логин и пароль) в конфигурационном файле сборщика метрик Telegraf, необходимо в качестве параметра hash указать имя файла (один из двух файлов с наименьшим размером).  \n\nTelegraf config:\n```\n[global_tags]\n\n[agent]\n  interval = \"10s\"\n  round_interval = true\n  metric_buffer_limit = 5000\n  flush_buffer_when_full = true\n  collection_jitter = \"0s\"\n  flush_interval = \"10s\"\n  flush_jitter = \"0s\"\n  debug = false\n  quiet = false\n  logfile = \"/Program Files/Telegraf/telegraf.log\"\n  hostname = \"\"\n\n[[outputs.influxdb]]\n  urls = [\"http://docker:8086\"] # required\n  database = \"telegraf\" # required\n  precision = \"s\"\n  timeout = \"5s\"\n  username = \"username\"\n  password = \"password\"\n  [outputs.influxdb.tagdrop]\n    influxdb_tag = [\"*\"]\n\t\n[[outputs.influxdb]]\n  urls = [\"http://docker:8086\"]\n  database = \"datamarkby\"\n  precision = \"s\"\n  timeout = \"5s\"\n  username = \"username\"\n  password = \"password\"\n  [outputs.influxdb.tagpass]\n    influxdb_tag = [\"datamarkby\"]\n\n[[inputs.exec]]\n  interval = \"1h\"\n  commands = [\n    \"powershell Get-DatamarkBYOrders -hash 'hash'\",\n    \"powershell Get-DatamarkBYShips -hash 'hash' -days_from 30\"\n  ]\n  timeout = \"5m\"\n  name_suffix = \"\"\n  data_format = \"influx\"\n  [inputs.exec.tags]\n    influxdb_tag = \"datamarkby\"\n```","collectorType":"Telegraf","collectorConfig":"Windows\\System32\\WindowsPowerShell\\v1.0\\Modules\\Influxdata.Telegraf.DatamarkBY\\Influxdata.Telegraf.DatamarkBY.psm1\n```\n[console]::OutputEncoding = [System.Text.Encoding]::UTF8\n\nfunction isEmpty($value) {\n\tif ([string]::isnullorempty($value)) { return \"0\" } # Empty string or Null\n\telse { return $value -Replace \" \", \"\\ \" -Replace \",\", \".\" }\n}\n\nfunction Get-SecureFromString {\n\tparam (\n\t\t[parameter(Mandatory = $true, ValueFromPipeline=$true)][string]$string\n\t)\n\t\n\treturn $string | ConvertTo-SecureString -AsPlainText -Force | ConvertFrom-SecureString\n}\n\nfunction Get-StringFromSecure {\n\t[CmdletBinding()]\n\tparam (\n\t\t[parameter(Mandatory = $true, ValueFromPipeline=$true)][string]$secure\n\t)\n\t\n\ttry {\n\t\t$string = [Runtime.InteropServices.Marshal]::PtrToStringAuto([Runtime.InteropServices.Marshal]::SecureStringToBSTR(($secure | ConvertTo-SecureString -EA 0)))\n\t}\n\tcatch {\n\t\tWrite-Debug $_.Exception.Message\n\t\treturn $null\n\t}\n\treturn $string\n}\n\nfunction Get-SecureFromAuth { # Convert username/password to hash\n\tparam (\n\t\t[parameter(Mandatory = $true)][string]$username,\n\t\t[parameter(Mandatory = $true)][string]$password\n\t)\n\t\n\treturn ($username + [char]29 + $password) | Get-SecureFromString\n}\n\nfunction Get-AuthFromSecure { # Convert hash to username/password\n\t[CmdletBinding()]\n\tparam (\n\t\t[parameter(Mandatory = $true, ValueFromPipeline=$true)][string]$hash\n\t)\n\t\n\tif ($auth = $hash | Get-StringFromSecure) {\n\t\t$auth = $auth.Split([char]29)\n\t\tif ($auth.count -eq 2) { return @{username = $auth[0]; password = $auth[1]} }\n\t}\n\tWrite-Debug \"Get-AuthFromSecure: auth not found\"\n\treturn $null\n}\n\nfunction Get-HashFromString {\n\t[CmdletBinding()]\n\tparam (\n\t\t[parameter(Mandatory = $true, ValueFromPipeline=$true)][string]$string,\n\t\t[string]$algorithm = 'MD5'\n\t)\n\t\n\ttry {\n\t\t$ms = [System.IO.MemoryStream]::new()\n\t\t$sw = [System.IO.StreamWriter]::new($ms)\n\t\t$sw.Write($string)\n\t\t$sw.Flush()\n\t\t$ms.Position = 0\n\t\t$hash = (Get-FileHash -InputStream $ms -Algorithm $algorithm).Hash\n\t}\n\tcatch {\n\t\tWrite-Debug $_.Exception.Message\n\t\treturn $null\n\t}\n\treturn $hash\n}\n\nfunction Get-DatamarkBYToken {\n\t[CmdletBinding()]\n\tparam (\n\t\t[AllowNull()][AllowEmptyString()][string]$username,\n\t\t[AllowNull()][AllowEmptyString()][string]$password,\n\t\t[AllowNull()][AllowEmptyString()][string]$hash,\n\t\t[string]$uri = 'https://api.datamark.by'\n\t)\n\t\n\tfunction Check-DatamarkBYToken {\n\t\t[CmdletBinding()]\n\t\tparam (\n\t\t\t[parameter(Mandatory = $true)][string]$username,\n\t\t\t[parameter(Mandatory = $true)][string]$password,\n\t\t\t[AllowNull()][AllowEmptyString()][string]$token,\n\t\t\t[string]$uri = 'https://api.datamark.by'\n\t\t)\n\t\t\n\t\tif ($token) {\n\t\t\t$response = Get-DatamarkBYRequestResponse -request '/directories' -method 'Post' -token $token -uri $uri\n\t\t}\n\t\tif ($response -eq $null) {\n\t\t\ttry {\n\t\t\t\t$response = Invoke-RestMethod -Method 'Post' -Uri ($uri + '/auth') -Body @{username = $username; password = $password}\n\t\t\t}\n\t\t\tcatch {\n\t\t\t\tWrite-Debug $_.Exception.Message\n\t\t\t\treturn $null\n\t\t\t}\n\t\t\treturn $response.token # return new token\n\t\t}\n\t\treturn $token # return old token\n\t}\n\t\n\tif ($hash -and (Test-Path $hash)) {\n\t\tif ($auth = Get-Content $hash | Get-AuthFromSecure) { $username = $auth.username; $password = $auth.password }\n\t}\n\tif (!$username -or !$password) {\n\t\tWrite-Debug \"Get-DatamarkBYToken: hash not found\"\n\t\treturn $null\n\t}\n\t\n\t# Get MD5 hash from username\n\t$username_hash = $username | Get-HashFromString\n\tif (Test-Path $username_hash) { # Get token from file by MD5 hash\n\t\t$token = Get-Content $username_hash | Get-StringFromSecure\n\t}\n\t$token_check = Check-DatamarkBYToken -username $username -password $password -token $token -uri $uri\n\tif ($token -ne $token_check -and $token_check) { # Get a new token and save it\n\t\t$token_check | Get-SecureFromString | Set-Content $username_hash\n\t\tGet-SecureFromAuth -username $username -password $password | Set-Content ( ($username + [char]29 + $password) | Get-HashFromString)\n\t}\n\treturn $token_check\n}\n\nfunction Get-DatamarkBYRequestResponse {\n\t[CmdletBinding()]\n\tparam (\n\t\t[parameter(Mandatory = $true)][string]$request,\n\t\t[parameter(Mandatory = $true)][string]$method,\n\t\t[parameter(Mandatory = $true)][string]$token,\n\t\t[string]$body = '{}',\n\t\t[string]$uri = 'https://api.datamark.by'\n\t)\n\t\n\tWrite-Debug ($method + ' ' + $uri + $request)\n\ttry {\n\t\tif ($body -eq '{}') { # For Get method\n\t\t\t$response = Invoke-RestMethod -Method $method -Uri ($uri + $request) -Headers @{token = $token}\n\t\t}\n\t\telse {\n\t\t\t$response = Invoke-RestMethod -Method $method -Uri ($uri + $request) -Headers @{token = $token} -Body $body\n\t\t}\n\t}\n\tcatch {\n\t\tWrite-Debug \"$_.Exception.Response.StatusCode.value__: $_.Exception.Response.StatusDescription\"\n\t\treturn $null\n\t}\n\treturn $response\n}\n\nfunction Build-DatamarkBYRequestBody {\n\tparam (\n\t\t[parameter(Mandatory = $true)][string]$date_from,\n\t\t[parameter(Mandatory = $true)][string]$date_to,\n\t\t[byte]$label_type = 0,\n\t\t[byte]$page = 1\n\t)\n\t\n\tif ($label_type -eq 0) { # ships body\n\t\t$body = \"{\n\t\t\t`\"date_from`\": `\"$date_from`\",\n\t\t\t`\"date_to`\": `\"$date_to`\",\n\t\t\t`\"page`\": $page\n\t\t}\"\n\t}\n\telse { # orders body\n\t\t$body = \"{\n\t\t\t`\"date_from`\": `\"$date_from`\",\n\t\t\t`\"date_to`\": `\"$date_to`\",\n\t\t\t`\"date_type`\": `\"created`\",\n\t\t\t`\"label_type`\": $label_type,\n\t\t\t`\"page`\": $page\n\t\t}\"\n\t}\n\treturn $body\n}\n\nfunction Get-DatamarkBYOrders {\n\tparam (\n\t\t[string]$username,\n\t\t[string]$password,\n\t\t[string]$hash,\n\t\t[byte]$days_from = 0,\n\t\t[byte]$days_to = 0,\n\t\t[string]$uri = 'https://api.datamark.by'\n\t)\n\t\n\tif ($days_to -gt $days_from) { return }\n\telse {\n\t\t$date_from\t= (Get-Date (Get-Date).AddDays(-$days_from)\t-Format 'yyyy-MM-dd').ToString()\n\t\t$date_to\t= (Get-Date (Get-Date).AddDays(-$days_to)\t-Format 'yyyy-MM-dd').ToString()\n\t}\n\tif (!($token = Get-DatamarkBYToken -username $username -password $password -hash $hash)) { return }\n\t\n\t$base\t= \"datamarkby_orders\"\n\t$tags\t= \"label_type={0}\"\n\t$values\t= \"id={1}i,count={2}i,status={3}i {4}000000000\"\n\t$output\t= $base + \",\" + $tags + \" \" + $values\n\t5..7 | % { # 5 - Серийный номер; 6 - Код агрегации (SSCC); 7 - Код стран ЕАЭС идентификации товара\n\t\t$label_type = $_\n\t\tif ($label_type -eq 7) {\n\t\t\t$tags\t= \"label_type={0},gtin={1}\"\n\t\t\t$values\t= \"id={2}i,count={3}i,status={4}i {5}000000000\"\n\t\t\t$output\t= $base + \",\" + $tags + \" \" + $values\n\t\t}\n\t\t$body = Build-DatamarkBYRequestBody -date_from $date_from -date_to $date_to -label_type $label_type\n\t\t$request = '/orders/list'\n\t\t$method = 'Post'\n\t\t$response = Get-DatamarkBYRequestResponse -request $request -method $method -token $token -body $body -uri $uri\n\t\tif ($response -and $response.count -gt 0) {\n\t\t\t$pages = [math]::Ceiling($response.count / $response.orders_list.count)\n\t\t\t1..$pages | % {\n\t\t\t\t$response.orders_list | % {\n\t\t\t\t\tif ($label_type -eq 7) {\n\t\t\t\t\t\t$output -f (isEmpty($_.type.id)), (isEmpty($_.gtin)), (isEmpty($_.id)), (isEmpty($_.count)), (isEmpty($_.status.code)), `\n\t\t\t\t\t\t\t(Get-Date -Date ([datetime]::parseexact($_.created_at.SubString(0, 19), 'yyyy-MM-dd HH:mm:ss', $null)) -UFormat %s)\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\t$output -f (isEmpty($_.type.id)), (isEmpty($_.id)), (isEmpty($_.count)), (isEmpty($_.status.code)), `\n\t\t\t\t\t\t\t(Get-Date -Date ([datetime]::parseexact($_.created_at.SubString(0, 19), 'yyyy-MM-dd HH:mm:ss', $null)) -UFormat %s)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif ($_ -ne $pages) {\n\t\t\t\t\t$body = Build-DatamarkBYRequestBody -date_from $date_from -date_to $date_to -label_type $label_type -page ($_ + 1)\n\t\t\t\t\t$response = Get-DatamarkBYRequestResponse -request $request -method $method -token $token -body $body -uri $uri\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n}\n\nfunction Get-DatamarkBYShips {\n\tparam (\n\t\t[string]$username,\n\t\t[string]$password,\n\t\t[string]$hash,\n\t\t[byte]$days_from = 0,\n\t\t[byte]$days_to = 0,\n\t\t[string]$uri = 'https://api.datamark.by'\n\t)\n\t\n\tif ($days_to -gt $days_from) { return }\n\telse {\n\t\t$date_from\t= (Get-Date (Get-Date).AddDays(-$days_from)\t-Format 'yyyy-MM-dd').ToString()\n\t\t$date_to\t= (Get-Date (Get-Date).AddDays(-$days_to)\t-Format 'yyyy-MM-dd').ToString()\n\t}\n\tif (!($token = Get-DatamarkBYToken -username $username -password $password -hash $hash)) { return }\n\t\n\t$base = \"datamarkby_ships\"\n\t$body = Build-DatamarkBYRequestBody -date_from $date_from -date_to $date_to\n\t$request = '/ships/shipped'\n\t$method = 'Post'\n\t$response = Get-DatamarkBYRequestResponse -request $request -method $method -token $token -body $body -uri $uri\n\tif ($response -and $response.count -gt 0) {\n\t\t$pages = [math]::Ceiling($response.count / $response.ships_list.count)\n\t\t1..$pages | % {\n\t\t\t$response.ships_list | % {\n\t\t\t\t$tags\t= \"currency={0},user_to_name={1},user_to_unp={2},user_to_country={3},country={4}\"\n\t\t\t\t$values\t= \"id={5}i,real_count={6}i,received_count={7}i,status={8}i,price={9},doc_name=`\"{10}`\",contract_id={11}i {12}000000000\"\n\t\t\t\t$output\t= $base + \",\" + $tags + \" \" + $values\n\t\t\t\t$output -f (isEmpty($_.price.currency)), (isEmpty($_.user_to.name)), (isEmpty($_.user_to.unp)), (isEmpty($_.user_to.country)), (isEmpty($_.country.id)), `\n\t\t\t\t\t(isEmpty($_.code)), (isEmpty($_.real_count)), (isEmpty($_.received_count)), (isEmpty($_.status.code)), (isEmpty($_.price.price)), (isEmpty($_.name)), (isEmpty($_.contract.id)), `\n\t\t\t\t\t(Get-Date -Date ([datetime]::parseexact($_.created_at.SubString(0, 19), 'yyyy-MM-dd HH:mm:ss', $null)) -UFormat %s)\n\t\t\t\t$ships = Get-DatamarkBYRequestResponse -request ('/ships/' + $_.code) -method 'Get' -token $token -uri $uri\n\t\t\t\tif ($ships) {\n\t\t\t\t\t$tags\t= \"currency={0},user_to_name={1},user_to_unp={2},user_to_country={3},country={4},gtin={5},name={6},articul={7}\"\n\t\t\t\t\t$values\t= \"id={8}i,count={9}i,status={10}i,price={11},doc_name=`\"{12}`\",contract_id={13}i {14}000000000\"\n\t\t\t\t\t$output\t= $base + \",\" + $tags + \" \" + $values\n\t\t\t\t\tforeach ($item in $ships.items) {\n\t\t\t\t\t\t$output -f (isEmpty($_.price.currency)), (isEmpty($_.user_to.name)), (isEmpty($_.user_to.unp)), (isEmpty($_.user_to.country)), (isEmpty($_.country.id)), (isEmpty($item.gtin)), (isEmpty($item.name)), (isEmpty($item.articul)), `\n\t\t\t\t\t\t\t(isEmpty($_.code)), (isEmpty($item.count)), (isEmpty($_.status.code)), (isEmpty($_.price.price)), (isEmpty($_.name)), (isEmpty($_.contract.id)), `\n\t\t\t\t\t\t\t(Get-Date -Date ([datetime]::parseexact($_.created_at.SubString(0, 19), 'yyyy-MM-dd HH:mm:ss', $null)) -UFormat %s)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tif ($_ -ne $pages) {\n\t\t\t\t$body = Build-DatamarkBYRequestBody -date_from $date_from -date_to $date_to -page ($_ + 1)\n\t\t\t\t$response = Get-DatamarkBYRequestResponse -request $request -method $method -token $token -body $body -uri $uri\n\t\t\t}\n\t\t}\n\t}\n}\n\nfunction Get-DatamarkBYMetrics {\n\tparam (\n\t\t[string]$username,\n\t\t[string]$password,\n\t\t[string]$hash,\n\t\t[byte]$days_from = 0,\n\t\t[byte]$days_to = 0,\n\t\t[string]$uri = 'https://api.datamark.by'\n\t)\n\t\n\tGet-DatamarkBYOrders\t-username $username -password $password -hash $hash -days_from $days_from -days_to $date_to -uri $uri\n\tGet-DatamarkBYShips\t\t-username $username -password $password -hash $hash -days_from $days_from -days_to $date_to -uri 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I am happy for you to do that too! \r\nI hope you find this script of some use.\r\n\r\nMore information regarding the dashboard and scripts can be found on my github;\r\nhttps://github.com/r4yfx/poweriq-grafana","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-05-01T15:19:46.000Z","updatedAt":"2018-05-01T15:22:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5897"},{"rel":"revisions","href":"/dashboards/5897/revisions"},{"rel":"revision","href":"/dashboards/5897/revisions/1"},{"rel":"download","href":"/dashboards/5897/revisions/1/download"},{"rel":"org","href":"/orgs/r4yfx"},{"rel":"images","href":"/dashboards/5897/images"},{"rel":"thumbnails","href":"/dashboards/5897/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21508,"status":1,"statusCode":"active","orgId":280103,"orgSlug":"blue2","orgName":"SONIX Network","slug":"dc908-system-metrics","downloads":413,"revisionId":33562,"revision":1,"name":"DC908 System Metrics","description":"Dashboard for the gNMI dialout stream from one or more Huawei OptiXtrans DC908.","readme":"The Huawei OptiXtrans DC908 is a optical-electrical Wavelength Division Multiplexing (WDM) transmission device designed for Data Center Interconnect (DCI).\r\n\r\nExported real-time updates as native Prometheus metrics via https://github.com/sonix-network/dc908_exporter.\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-07-12T09:37:05.000Z","updatedAt":"2024-07-12T09:39:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21508"},{"rel":"revisions","href":"/dashboards/21508/revisions"},{"rel":"revision","href":"/dashboards/21508/revisions/1"},{"rel":"download","href":"/dashboards/21508/revisions/1/download"},{"rel":"org","href":"/orgs/blue2"},{"rel":"images","href":"/dashboards/21508/images"},{"rel":"thumbnails","href":"/dashboards/21508/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24450,"status":1,"statusCode":"active","orgId":1596902,"orgSlug":"hayatekato0918","orgName":"hayatek","slug":"nvidia-dcgm-exporter-dashboard","downloads":320,"revisionId":39108,"revision":1,"name":"DCGM Exporter Dashboard","description":"This dashboard is to display the metrics from DCGM Exporter","readme":"# DCGM Exporter Dashboard\r\n\r\n## Overview\r\nThis dashboard visualizes GPU metrics exported by **NVIDIA DCGM Exporter**. It provides an interface similar to the standard `nvidia-smi` command but with historical data and graphical visualization.\r\n\r\nIt is designed to be simple and lightweight, focusing on the most critical metrics for monitoring GPU health and performance.\r\n\r\n## 概要 (Japanese)\r\nNVIDIA DCGM Exporter のメトリクスを可視化するダッシュボードです．\r\nCLIツールの `nvidia-smi` で確認できる主要な情報を，Grafana上で時系列データとしてグラフィカルに監視できるように設計しています．\r\n\r\n## Features / 機能\r\n- **GPU Information**: Model Name, Driver Version, CUDA Version / GPU情報 (モデル名，ドライババージョン，CUDAバージョン)\r\n- **GPU Utilization**: Real-time GPU usage (%) / GPU使用率\r\n- **Memory Usage**: VRAM usage and total capacity (% & MiB) / メモリ使用量と上限\r\n- **Power Usage**: Power consumption and power limit (% & W) / 消費電力と上限\r\n- **Fan Speed**: Fan speed (%) / ファン回転数\r\n- **Temperature**: GPU Temperature (°C) / 温度\r\n\r\n## Requirements / 必須要件\r\n* Prometheus\r\n* NVIDIA DCGM Exporter (running on Kubernetes or Docker)\r\n\r\n## Configuration / 設定\r\n1.  Import this dashboard.\r\n2.  Select your Prometheus data source.\r\n3.  Choose the `instance` and `gpu` identifiers from the dropdown menu.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-11-22T13:20:54.000Z","updatedAt":"2025-11-26T01:54:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24450"},{"rel":"revisions","href":"/dashboards/24450/revisions"},{"rel":"revision","href":"/dashboards/24450/revisions/1"},{"rel":"download","href":"/dashboards/24450/revisions/1/download"},{"rel":"org","href":"/orgs/hayatekato0918"},{"rel":"images","href":"/dashboards/24450/images"},{"rel":"thumbnails","href":"/dashboards/24450/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18680,"status":1,"statusCode":"active","orgId":552592,"orgSlug":"mailregx","orgName":"mailregx","slug":"gpu-nodes-metrics-nvidia","downloads":410,"revisionId":28658,"revision":1,"name":"DCGM GPU-Nodes-Metrics-Nvidia","description":"使用NVIDIA Data Center GPU Manager (DCGM) dcgm-exporter 通过Prometheus绘制的GPU Nvidia 基础监控信息.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-05-06T08:08:42.000Z","updatedAt":"2023-05-06T08:12:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18680"},{"rel":"revisions","href":"/dashboards/18680/revisions"},{"rel":"revision","href":"/dashboards/18680/revisions/1"},{"rel":"download","href":"/dashboards/18680/revisions/1/download"},{"rel":"org","href":"/orgs/mailregx"},{"rel":"images","href":"/dashboards/18680/images"},{"rel":"thumbnails","href":"/dashboards/18680/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":950,"status":1,"statusCode":"active","orgId":15233,"orgSlug":"trevor","orgName":"Trevor Dodds","slug":"dd-wrt-router-dashboard","downloads":1060,"revisionId":1475,"revision":3,"name":"DD-WRT Router Dashboard","description":"","readme":"This dashboard was built for the WRT 1900AC Router running DD-WRT.\r\n - The scripts should work across the newer routers running dd-wrt and perhaps some older models too by adjusting the scripts a little.\r\n\r\nDownload shell scripts from:\r\n\r\n<https://github.com/trevorndodds/dd-wrt-grafana>\r\n\r\nQuick setup instructions:\r\n - Enable jffs storage\r\n - Upload shell scripts to /jffs/\r\n - Modify shell scripts to include your graphite IP/Port\r\n - Modify shell scripts to match your interface names (ifconfig)\r\n - Adjust ping scripts to match your environment\r\n\r\nNow to enable the jobs in Cron and on Startup:\r\n - Add the following under Additional Cron Jobs:\\\r\n\\* * * * * root /jffs/collector.sh > /dev/null 2>&1\\\r\n\\* * * * * root /jffs/sleep20.sh > /dev/null 2>&1\\\r\n\\* * * * * root /jffs/sleep40.sh > /dev/null 2>&1\r\n\r\n- Add the following script to the router Startup:\\\r\n/jffs/checkBandwidthInterface.sh &\r\n\r\n- Paste below into the commands window and select \"Run Command\"\\\r\n/jffs/checkBandwidthInterface.sh &\r\n\r\nThat should be it.\r\n* If any errors, try running the shell scripts manually.\r\n* check \"ps\" output that shell scripts are running periodically.\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2016-11-23T03:52:21.000Z","updatedAt":"2016-12-04T16:11:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/950"},{"rel":"revisions","href":"/dashboards/950/revisions"},{"rel":"revision","href":"/dashboards/950/revisions/3"},{"rel":"download","href":"/dashboards/950/revisions/3/download"},{"rel":"org","href":"/orgs/trevor"},{"rel":"images","href":"/dashboards/950/images"},{"rel":"thumbnails","href":"/dashboards/950/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":11898,"status":1,"statusCode":"active","orgId":222815,"orgSlug":"pfranz","orgName":"pfranz","slug":"dd-wrt-router","downloads":679,"revisionId":16880,"revision":1,"name":"dd-wrt SNMP","description":"dd-wrt dashboard using SNMP data stored in Prometheus","readme":"Basic monitoring of dd-wrt routers: uptime, load, cpu, basic memory usage, and network usage.  SNMP data is collected with a basic [prometheus/snmp_exporter](https://github.com/prometheus/snmp_exporter) setup.\n\n[Information about dd-wrt device mappings can be found here](https://wiki.dd-wrt.com/wiki/index.php/Default_Configuration_Overview)\n\n[Additional OIDs that dd-wrt offers are documented here (this dashboard only uses what snmp_exporter includes by defaut)](https://wiki.dd-wrt.com/wiki/index.php/SNMP#Known_OID.C2.B4s_via_SNMP)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-13T04:21:02.000Z","updatedAt":"2020-03-13T04:35:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11898"},{"rel":"revisions","href":"/dashboards/11898/revisions"},{"rel":"revision","href":"/dashboards/11898/revisions/1"},{"rel":"download","href":"/dashboards/11898/revisions/1/download"},{"rel":"org","href":"/orgs/pfranz"},{"rel":"images","href":"/dashboards/11898/images"},{"rel":"thumbnails","href":"/dashboards/11898/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11523,"status":1,"statusCode":"active","orgId":333216,"orgSlug":"bhuvithedataguy","orgName":"Bhuvanesh R","slug":"mysql-connector","downloads":1327,"revisionId":16236,"revision":1,"name":"Debezium MySQL Connector","description":"Monitoring Dashboard for Debezium MySQL connector. ","readme":"### You need to install and configure the JMX exporter. \n\nRead here for configuring Monitoring: [https://thedataguy.in/monitor-debezium-mysql-connector-with-prometheus-and-grafana/](https://thedataguy.in/monitor-debezium-mysql-connector-with-prometheus-and-grafana/)\n\nMore configuration details about this dashboard:\n[https://medium.com/searce/grafana-dashboard-for-monitoring-debezium-mysql-connector-d5c28acf905b](https://medium.com/searce/grafana-dashboard-for-monitoring-debezium-mysql-connector-d5c28acf905b)\n\nTo contribute to this dashboard, please visit this GitHub link. \n[https://github.com/debezium/debezium-examples/tree/master/monitoring/debezium-grafana](https://github.com/debezium/debezium-examples/tree/master/monitoring/debezium-grafana)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-07T17:17:54.000Z","updatedAt":"2020-04-19T09:52:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11523"},{"rel":"revisions","href":"/dashboards/11523/revisions"},{"rel":"revision","href":"/dashboards/11523/revisions/1"},{"rel":"download","href":"/dashboards/11523/revisions/1/download"},{"rel":"org","href":"/orgs/bhuvithedataguy"},{"rel":"images","href":"/dashboards/11523/images"},{"rel":"thumbnails","href":"/dashboards/11523/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18608,"status":1,"statusCode":"active","orgId":355611,"orgSlug":"debinhuang","orgName":"debinhuang","slug":"debezium-mysql-connector","downloads":422,"revisionId":28525,"revision":1,"name":"Debezium MySQL Connector","description":"Monitoring Dashboard for Debezium MySQL connector. ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-25T15:34:48.000Z","updatedAt":"2023-04-25T15:34:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18608"},{"rel":"revisions","href":"/dashboards/18608/revisions"},{"rel":"revision","href":"/dashboards/18608/revisions/1"},{"rel":"download","href":"/dashboards/18608/revisions/1/download"},{"rel":"org","href":"/orgs/debinhuang"},{"rel":"images","href":"/dashboards/18608/images"},{"rel":"thumbnails","href":"/dashboards/18608/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20249,"status":1,"statusCode":"active","orgId":1024017,"orgSlug":"fche","orgName":"fche","slug":"debuginfod","downloads":264,"revisionId":31210,"revision":1,"name":"debuginfod","description":"Monitoring for elfutils debuginfod servers.","readme":"This dashboard views a selection of the prometheus metrics built into the [debuginfod](https://sourceware.org/elfutils/Debuginfod.html) server, used for supplying debugging data such as ELF/DWARF/source code content to debuggers and similar tools.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-01-05T18:10:51.000Z","updatedAt":"2024-01-05T18:18:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20249"},{"rel":"revisions","href":"/dashboards/20249/revisions"},{"rel":"revision","href":"/dashboards/20249/revisions/1"},{"rel":"download","href":"/dashboards/20249/revisions/1/download"},{"rel":"org","href":"/orgs/fche"},{"rel":"images","href":"/dashboards/20249/images"},{"rel":"thumbnails","href":"/dashboards/20249/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9719,"status":1,"statusCode":"active","orgId":231633,"orgSlug":"shibumi","orgName":"shibumi","slug":"decentralized-blackbox-exporter-copy","downloads":993,"revisionId":15497,"revision":5,"name":"Decentralized Blackbox Exporter","description":"Dashboard for decentralized Blackbox Exporters. Mostly for DNS and HTTP/HTTPS Tests","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-01-28T18:17:56.000Z","updatedAt":"2019-11-09T22:42:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9719"},{"rel":"revisions","href":"/dashboards/9719/revisions"},{"rel":"revision","href":"/dashboards/9719/revisions/5"},{"rel":"download","href":"/dashboards/9719/revisions/5/download"},{"rel":"org","href":"/orgs/shibumi"},{"rel":"images","href":"/dashboards/9719/images"},{"rel":"thumbnails","href":"/dashboards/9719/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14645,"status":1,"statusCode":"active","orgId":508850,"orgSlug":"jmajoor","orgName":"Sparkling Logic","slug":"decision-evaluation-kpi-summary-prometheus","downloads":373,"revisionId":40118,"revision":4,"name":"Decision Evaluation KPI Summary (Prometheus)","description":"Default dashboard for monitoring real-time KPI definitions from Sparkling Logic SMARTS(tm).","readme":"# Decision Key Performance Indicator (KPI) Metrics\n\nThis dashboard is for use with Sparkling Logic SMARTS(tm) Decision Services and the real-time KPI feature of SMARTS.\n\nIf you have real-time KPI metrics defined in SMARTS and deployed through the deployment manager then the metric values can be exposed through Prometheus.\nThis dashboard just shows the raw values as provided by the SMARTS KPI and can be further customized to show multiple KPIs at the same time.\n\nIn addition to the metric values it shows the number of alerts. These are alerts as defined by the SMARTS KPI. You can also specify alerts as part of the deployment.\n\n## SMARTS Configuration\nIf you deployed SMARTS using a helm chart, then you can easily enable your deployment for metrics scraping as follows:\n```\nconfiguration:\n    metrics:\n      decision_evaluation: true\n      decision_metrics: true\nmetrics:\n  enabled: true\n  serviceMonitor:\n    enabled: true\n```\n## Prometheus Configuration\nIf you are using a Prometheus Server then you may need to configure this server to `remote write` your metrics to Grafana.\nFor example:\n```\nprometheus:\n  prometheusSpec:\n    remoteWrite:\n    - url: \"https://prometheus-blocks-prod-us-central1.grafana.net/api/prom/push\"\n      basicAuth:\n          username:\n            name: grafanasecret\n            key: username\n          password:\n            name: grafanasecret\n            key: password\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-06-30T22:05:04.000Z","updatedAt":"2026-03-06T17:54:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14645"},{"rel":"revisions","href":"/dashboards/14645/revisions"},{"rel":"revision","href":"/dashboards/14645/revisions/4"},{"rel":"download","href":"/dashboards/14645/revisions/4/download"},{"rel":"org","href":"/orgs/jmajoor"},{"rel":"images","href":"/dashboards/14645/images"},{"rel":"thumbnails","href":"/dashboards/14645/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14644,"status":1,"statusCode":"active","orgId":508850,"orgSlug":"jmajoor","orgName":"Sparkling Logic","slug":"decision-service-summary","downloads":467,"revisionId":35152,"revision":11,"name":"Decision Service Summary","description":"Basic measurements of decision evaluations using data from Sparkling Logic SMARTS(tm)","readme":"# Decision Evaluation Metrics\r\n\r\nThis dashboard is for use with  Sparkling Logic SMARTS(tm) Decision Services and can show you the following information for decision evaluations\r\n- Request per second\r\n- Average duration per request\r\n- Number of requests in progress\r\n- Request duration histogram and 90% quantile\r\n- Remote Function Request duration\r\n- Decision Service Health Checks\r\n- Deployment Manager Health\r\n- Deployment Manager Change Events\r\n\r\n## SMARTS Configuration\r\nIf you deployed SMARTS using a helm chart, then you can easily enable your deployment for metrics scraping as follows:\r\n```\r\nmetrics:\r\n  enabled: true\r\n  serviceMonitor:\r\n    enabled: true\r\n```\r\n## Prometheus Configuration\r\nIf you are using a Prometheus Server then you may need to configure this server to `remote write` your metrics to Grafana.\r\nFor example:\r\n```\r\nprometheus:\r\n  prometheusSpec:\r\n    remoteWrite:\r\n    - url: \"https://prometheus-blocks-prod-us-central1.grafana.net/api/prom/push\"\r\n      basicAuth:\r\n          username:\r\n            name: grafanasecret\r\n            key: username\r\n          password:\r\n            name: grafanasecret\r\n            key: password\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-06-30T21:42:36.000Z","updatedAt":"2024-11-20T00:14:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14644"},{"rel":"revisions","href":"/dashboards/14644/revisions"},{"rel":"revision","href":"/dashboards/14644/revisions/11"},{"rel":"download","href":"/dashboards/14644/revisions/11/download"},{"rel":"org","href":"/orgs/jmajoor"},{"rel":"images","href":"/dashboards/14644/images"},{"rel":"thumbnails","href":"/dashboards/14644/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3410,"status":1,"statusCode":"active","orgId":90524,"orgSlug":"deepstreamhub","orgName":"deepstreamhub","slug":"monitoring","downloads":430,"revisionId":4715,"revision":1,"name":"Deepstream Enterprise Dashboard","description":"A dashboard for deepstream enterprise that shows metrics over time such as messages, connections, cluster size and CPU usage.","readme":"This dashboard is for use with deepstream-enterprise and needs to be backed by an InfluxDB instance. \r\n\r\nTypically it will be easiest to use a Logstash agent to push your deepstream data to InfluxDB, for this, the Logstash configuration could look as follows:\r\n\r\n```\r\ninput {\r\n  http_poller {\r\n    # List of urls to hit\r\n    # URLs can either have a simple format for a get request\r\n    # Or use more complex HTTP features\r\n    urls => {\r\n      local_deepstream => \"http://localhost:7070/\"\r\n    }\r\n    # Maximum amount of time to wait for a request to complete\r\n    request_timeout => 5\r\n    # How far apart requests should be\r\n    interval => 10\r\n    # Decode the results as JSON\r\n    codec => \"json\"\r\n  }\r\n}\r\noutput {\r\n  influxdb {\r\n    codec => \"json\"\r\n    send_as_tags => [\"serverName\"]\r\n    use_event_fields_for_data_points => true\r\n    db => \"deepstream\"\r\n    measurement => \"deepstream\"\r\n    data_points => {}\r\n    host => \"<Your InfluxDB URL>\"\r\n  }\r\n}\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-10-10T12:57:52.000Z","updatedAt":"2017-10-12T14:10:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3410"},{"rel":"revisions","href":"/dashboards/3410/revisions"},{"rel":"revision","href":"/dashboards/3410/revisions/1"},{"rel":"download","href":"/dashboards/3410/revisions/1/download"},{"rel":"org","href":"/orgs/deepstreamhub"},{"rel":"images","href":"/dashboards/3410/images"},{"rel":"thumbnails","href":"/dashboards/3410/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19567,"status":1,"statusCode":"active","orgId":872341,"orgSlug":"pressurepot","orgName":"pressurepot","slug":"dehumidifier","downloads":290,"revisionId":30014,"revision":1,"name":"Dehumidifier","description":"output of pressure pot ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-09-14T12:15:13.000Z","updatedAt":"2023-09-14T12:16:04.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19567"},{"rel":"revisions","href":"/dashboards/19567/revisions"},{"rel":"revision","href":"/dashboards/19567/revisions/1"},{"rel":"download","href":"/dashboards/19567/revisions/1/download"},{"rel":"org","href":"/orgs/pressurepot"},{"rel":"images","href":"/dashboards/19567/images"},{"rel":"thumbnails","href":"/dashboards/19567/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21107,"status":1,"statusCode":"active","orgId":759371,"orgSlug":"robotneo","orgName":"robotneo","slug":"dell-idrac-snmp-dashboard-for-vectoriametrics","downloads":501,"revisionId":32853,"revision":2,"name":"Dell iDRAC SNMP Dashboard for VectoriaMetrics","description":"戴尔物理服务器iDRAC监控面板","readme":"## 最全面的 iDRAC Grafana Dashboard（持续更新中）\r\n💻📊🔥✅\r\n基于 **`SNMP`** 协议的监控戴尔物理机 **`iDRAC`** 信息的 **`Grafana`** 面板。\r\n\r\nGrafana Dashboard ID: 21107\r\n\r\n面板详细：\r\n\r\nGithub: [https://github.com/robotneo/idrac-monitor](https://github.com/robotneo/idrac-monitor)\r\n\r\n👉👉👉更多面板信息请套用后反馈一些意见。\r\n\r\n### 当前特性\r\n- 添加一个全局系统信息行，系统信息行中通过模版变量显示当前采集物理机的总数\r\n- 系统信息表中采集每个服务器的 **`iDRAC URL`** ，可直接在面板中点击链接登录 **`iDRAC`**\r\n- 对应物理服务器全局状态信息可根据模版变量选择主机IP实现对物理机全局状态的查看\r\n- 面板和单元格会根据实际状态信息改变对应状态颜色，以提示状态异常组件问题\r\n- 仪表板中每台物理机信息都会显示以下数据：\r\n    - 系统运行时间、全局状态、系统电源状态、BIOS状态、PSU 状态、CMOS 电池状态、存储状态\r\n    - 服务标签、快速服务代码、BIOS 版本、操作系统名称、操作系统版本、服务器型号等等\r\n    - 物理机当前使用功率图\r\n    - CPU 温度表（可自行更改为CPU温度趋势图）\r\n    - 系统内部温度表（可自行更改为温度趋势图）\r\n    - 风扇转速和状态表（可自行更改为风扇趋势图）\r\n    - 物理磁盘状态表（磁盘名称、容量、状态、预测性故障警报）\r\n    - Raid 状态表\r\n    - 系统日志条目数，可自行添加系统日志条目表\r\n    - 网络接口表（NIC 名称、供应商、状态、MAC 地址）\r\n    - FRU和PCI组件状态表\r\n\r\n更多信息可直接在采集配置文件中添加对应的 OID 实现。 \r\n\r\n### 如何使用\r\n\r\n把需要监控的主机 **`iDRAC`** 中的 **`SNMP v2`** 打开，安装并设置 **`Categraf + VictoriaMetrics + Grafana`** 以相互配合。\r\n\r\n使用提供的 **`snmp_dell_idrac.toml`** 文件放置在 **`/opt/categraf/conf/inputs.snmp/`** 文件夹中，并在 **`agents`** 下编辑您的物理机 **`iDRAC IP`** 或主机名替换 **`iDRACURLx`** 的值，如下所示：\r\n\r\n```toml\r\n[[instances]]\r\nagents = [\r\n    \"udp://192.168.100.100:161\",\r\n    \"udp://192.168.100.101:161\",\r\n    \"udp://192.168.100.102:161\"\r\n]\r\n```\r\n\r\n重新启动 **`Categraf`** ，然后导入仪表板 **`Dell iDRAC SNMP Dashboard for VectoriaMetrics.json`** 文件（或使用 **`Grafana`** 仪表板 ID），将仪表板添加到 **`Grafana`** 中，在单击 \"导入\" 后选择您自己的 **`VictoriaMetrics`** 数据库或者 **`Prometheus`** 数据库，面板中数据填充最多 2 分钟就可以完全看到。\r\n\r\n### 前置要求\r\n\r\n#### Categraf\r\n\r\n- 戴尔 mib 依赖\r\n\r\n当进行 **`oid`** 添加的时候需要使用 **`snmpwalk`** 或者 **`snmpbulkwalk`** 命令工具调试的时候，可在对应系统安装 **`netsnmp`** 。\r\n\r\n#### Grafana\r\n\r\n- 目前没有依赖第三方插件\r\n\r\n### 环境搭建\r\n\r\n- Grafana 用于数据可视化。\r\n- Categraf 用于使用 SNMP 输入插件进行数据收集。\r\n- VictoriaMetrics 用于时间序列数据存储。\r\n- iDRAC 已启用 SNMP（v2）\r\n\r\n已在 Dell Poweredge R740xd、R740、R730、R720xd、R530、R620、R630、T630 等等服务器上的 iDRAC 7、iDRAC 8、iDRAC 9 上进行了测试，理论上支持所有类型。\r\n\r\n### 数据添加\r\n\r\n**`Dell iDRAC`** 通过 **`SNMP`** 具有显示大量数据的能力，而且很容易根据您的收集和监控需求扩展此仪表板以添加更多数据。具体可使用 **`Dell MIB`** 文件 和 **`Dell EMC OpenManage SNMP`** 参考指南来确定您需要的 OID 。\r\n\r\n- [Dell MIB文件](https://www.dell.com/support/kbdoc/zh-cn/000177052/%E5%A6%82%E4%BD%95-%E6%9F%A5%E6%89%BE-%E6%88%B4%E5%B0%94-%E7%AE%A1%E7%90%86-%E4%BF%A1%E6%81%AF-%E5%BA%93-mib-%E6%96%87%E4%BB%B6)\r\n\r\n- [MIB Browser](https://www.ireasoning.com/mibbrowser.shtml)\r\n\r\n- [Dell EMC OpenManage SNMP](https://www.dell.com/support/manuals/zh-cn/openmanage-software-v10.1.0.0/om_snmp_10.1_refguide_pub/dell-emc-openmanage-snmp-reference-guide-version-10.1.0.0?spm=wolaidingtalk.workspace.0.0.6a1b76c6pEAzCq&guid=guid-5b8de7b7-879f-45a4-88e0-732155904029&lang=en-us)\r\n\r\n我使用了 Dell MIB 文件和 MIB 浏览器以及 Dell EMC OpenManage SNMP 参考指南来确定 OID。\r\n\r\n### 已知问题\r\n\r\n- 暂未发现\r\n\r\n### 更多信息\r\n\r\n如果需要了解关于监控的更多信息，还请关注公众号：网络小斐。\r\n\r\n![https://neoblog01.oss-cn-hangzhou.aliyuncs.com/qrcode.jpg](https://neoblog01.oss-cn-hangzhou.aliyuncs.com/qrcode.jpg)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-05-22T07:03:16.000Z","updatedAt":"2024-05-22T16:04:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21107"},{"rel":"revisions","href":"/dashboards/21107/revisions"},{"rel":"revision","href":"/dashboards/21107/revisions/2"},{"rel":"download","href":"/dashboards/21107/revisions/2/download"},{"rel":"org","href":"/orgs/robotneo"},{"rel":"images","href":"/dashboards/21107/images"},{"rel":"thumbnails","href":"/dashboards/21107/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22949,"status":1,"statusCode":"active","orgId":1118912,"orgSlug":"marcusronney","orgName":"marcusronney","slug":"dell-poweredge-r640-idrac-server","downloads":648,"revisionId":36271,"revision":1,"name":"Dell 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These are not populated by the PowerShell script, but by the attached SQL Stored Procedures, that you will need to run from a SQL Server Agent Job.\r\n\r\nMany of the panels have information tips explaining what their numbers mean. I made this dashboard to make my own life easier, but hopefully it will help others too.\r\n\r\n\r\nMilena Petrovics article - https://www.sqlshack.com/sql-server-memory-performance-metrics-part-1-memory-pagessec-memory-page-faultssec/\r\n\r\nNB: Apologies for the formatting below, I can't work out what editor this is and what the formatting rules are!\r\n\r\nPowershell Script\r\n\r\n$influxDB = \"http://127.0.0.1:8086\";\r\n$serverName = \"LIVEMSSQL\";\r\n\r\n$valuesList = Get-Counter -Counter \"\\Processor(_Total)\\% Processor Time\",\"\\Memory\\Pages/sec\",\"\\Memory\\Pages Input/sec\",\"\\Memory\\Pages Output/sec\",\"\\SQLServer:Buffer Manager\\Page reads/sec\",\"\\SQLServer:Buffer Manager\\Page writes/sec\",\"\\Memory\\Page Faults/sec\",\"\\SQLServer:Memory Manager\\Total Server Memory (KB)\",\"\\SQLServer:Memory Manager\\Database Cache Memory (KB)\",\"\\SQLServer:Memory Manager\\Free Memory (KB)\",\"\\SQLServer:Memory Manager\\Stolen Server Memory (KB)\",\"\\SQLServer:Memory Manager\\Lock Memory (KB)\",\"\\SQLServer:Memory Manager\\Lock Blocks\",\"\\SQLServer:Memory Manager\\Target Server Memory (KB)\",\"\\SQLServer:Buffer Manager\\Buffer cache hit ratio\",\"\\SQLServer:Buffer Manager\\Page life expectancy\",\"\\SQLServer:Buffer Manager\\Lazy writes/sec\",\"\\SQLServer:Buffer Manager\\Free list stalls/sec\",\"\\SQLServer:Memory Grants Pending\",\"\\SQLServer:Memory Manager\\Memory Grants Outstanding\",\"\\SQLServer:Memory Manager\\Granted Workspace Memory (KB)\",\"\\SQLServer:Memory Manager\\Maximum Workspace Memory (KB)\", \"\\SQLServer:SQL Statistics\\Batch Requests/sec\";\r\n$timestamp = [string]([int64](([datetime]::UtcNow)-(get-date \"1/1/1970\")).TotalMilliseconds) + \"000000\";\r\n$processorActive = [math]::Round($valuesList.CounterSamples[0].CookedValue,3);\r\n\r\n$pagesPerSec = [math]::Round($valuesList.CounterSamples[1].CookedValue,3);\r\n$pagesInputPerSec = [math]::Round($valuesList.CounterSamples[2].CookedValue,3);\r\n$pagesOutputPerSec = [math]::Round($valuesList.CounterSamples[3].CookedValue,3);\r\n$pageReadsPerSec = [math]::Round($valuesList.CounterSamples[4].CookedValue,3);\r\n$pageWritesPerSec = [math]::Round($valuesList.CounterSamples[5].CookedValue,3);\r\n$pageFaultsPerSec = [math]::Round($valuesList.CounterSamples[6].CookedValue,3);\r\n$softPageFaultsPerSec = [math]::Round($pageFaultsPerSec - $pagesInputPerSec,3);\r\n$hardPageFaultsPerSec = [math]::Round($pageFaultsPerSec - $softPageFaultsPerSec,3);\r\n\r\n$memoryTotal = [math]::Round($valuesList.CounterSamples[7].CookedValue,3);\r\n$memoryUsed = [math]::Round($valuesList.CounterSamples[8].CookedValue,3);\r\n$memoryFree = [math]::Round($valuesList.CounterSamples[9].CookedValue,3);\r\n$memoryStolen = [math]::Round($valuesList.CounterSamples[10].CookedValue,3);\r\n$memoryLock = [math]::Round($valuesList.CounterSamples[11].CookedValue,3);\r\n$memoryLockBlocks = [math]::Round($valuesList.CounterSamples[12].CookedValue,3);\r\n$memoryLockBlocksPercent = [math]::Round(($memoryLock * 100) / $memoryFree,3);\r\n$targetServerMemory = [math]::Round($valuesList.CounterSamples[13].CookedValue,3);\r\n$memoryPressure = [math]::round(($targetServerMemory / $memoryTotal) - 1,3);\r\n$bufferCacheHitRatio = [math]::Round($valuesList.CounterSamples[14].CookedValue,3);\r\n$bufferPageLifeExpectancy = [math]::Round($valuesList.CounterSamples[15].CookedValue,3);\r\n$bufferLazyWritesPerSec = [math]::Round($valuesList.CounterSamples[16].CookedValue,3);\r\n$bufferFreeListStallsPerSec = [math]::Round($valuesList.CounterSamples[17].CookedValue,3);\r\n$memoryGrantsOutstanding = [math]::Round($valuesList.CounterSamples[18].CookedValue,3);\r\n$memoryGrantedWorkspace = [math]::Round($valuesList.CounterSamples[19].CookedValue,3);\r\n$memoryMaximumWorkspace = [math]::Round($valuesList.CounterSamples[20].CookedValue,3);\r\n$batchRequestsPerSec = [math]::Round($valuesList.CounterSamples[21].CookedValue,3);\r\n\r\n$cpudatabinary = \"db,server=$serverName,metric=cpu active=$processorActive $timestamp\";\r\nInvoke-WebRequest -Uri $influxDB/write?db=statistics -Method POST -Body $cpudatabinary;\r\n\r\n$iodatabinary = \"db,server=$serverName,metric=io pagespersec=$pagesPerSec,pagesinputpersec=$pagesInputPerSec,pagesoutputpersec=$pagesOutputPerSec,pagereadspersec=$pageReadsPerSec,pagewritespersec=$pageWritesPerSec,pagefaultspersec=$pageFaultsPerSec,hardpagefaultspersec=$hardPageFaultsPerSec,softpagefaultspersec=$softPageFaultsPerSec $timestamp\";\r\nInvoke-WebRequest -Uri $influxDB/write?db=statistics -Method POST -Body $iodatabinary;\r\n\r\n$memorydatabinary = \"db,server=$serverName,metric=memory memorytotal=$memoryTotal,memoryused=$memoryUsed,memoryfree=$memoryFree,memorystolen=$memoryStolen,memorypressure=$memoryPressure,memorylock=$memoryLock,memorylockblocks=$memoryLockBlocks,memorylockspercent=$memoryLockBlocksPercent,buffercachehitratio=$bufferCacheHitRatio,bufferpagelifeexpectancy=$bufferPageLifeExpectancy,bufferlazywritespersec=$bufferLazyWritesPerSec,bufferfreeliststallspersec=$bufferFreeListStallsPerSec,memorygrantsoutstanding=$memoryGrantsOutstanding,memorygrantedworkspace=$memoryGrantedWorkspace,memorymaximumworkspace=$memoryMaximumWorkspace $timestamp\";\r\nInvoke-WebRequest -Uri $influxDB/write?db=statistics -Method POST -Body $memorydatabinary;\r\n\r\n$serverdatabinary = \"db,server=$serverName,metric=server cpuactive=$processorActive,batchrequestspersec=$batchRequestsPerSec $timestamp\";\r\nInvoke-WebRequest -Uri $influxDB/write?db=statistics -Method POST -Body $serverdatabinary;\r\n------\r\n\r\n--- Stored Procedures ---\r\n   --- Log_SPAvgExecTime\r\nCREATE PROCEDURE [dbo].[Influx_LogSPAvgExecTime]\r\n\t@SchemaName NVARCHAR(128),\r\n\t@SPName NVARCHAR(128)\r\nAS\r\nBEGIN\r\n\tDECLARE @OutputTime NVARCHAR(MAX);\r\n\r\n\tDECLARE @ServerName NVARCHAR(50);\r\n\tSET @ServerName = @@SERVERNAME\r\n\r\n\tEXECUTE [dbo].[GetSPAvgExecTime] @SchemaName, @SPName, @Time = @OutputTime OUTPUT;\r\n\r\n\tIF (@OutputTime IS NOT NULL)\r\n\t\tBEGIN\r\n\t\t\tEXEC sp_configure 'xp_cmdshell', 1;\r\n\t\t\tRECONFIGURE;\r\n\t\t\tDECLARE @SQL NVARCHAR(MAX) = N'EXEC xp_cmdshell ''C:\\Tools\\curl -i -XPOST \"http://127.0.0.1:8086/write?db=statistics\" --data-binary \"db,server=' + @ServerName + ',schema=' + @SchemaName + ',storedproc=' + @SPName + ' exectime=' + @OutputTime + '\"'''\r\n\t\t\tEXEC(@SQL)\r\n\t\tEND\r\nEND\r\n   ------\r\n   --- GetSPAvgExecTime ---\r\nCREATE PROCEDURE [dbo].[GetSPAvgExecTime]\r\n\t@SchemaName NVARCHAR(128),\r\n\t@SPName NVARCHAR(128),\r\n\t@Time NVARCHAR(MAX) OUT\r\nAS\r\nBEGIN\r\n\t-- SET NOCOUNT ON added to prevent extra result sets from\r\n\t-- interfering with SELECT statements.\r\n\tSET NOCOUNT ON;\r\n\r\n\tSELECT @Time = CONVERT(NVARCHAR, CONVERT(DECIMAL(30,2), SUM(total_worker_time) * 0.001 / SUM(execution_count)))\r\n\tFROM MyDatabase.sys.dm_exec_procedure_stats AS stats\r\n\t\tLEFT JOIN MyDatabase.sys.procedures AS sp ON [stats].[object_id] = sp.[object_id]\r\n\t\tLEFT JOIN MyDatabase.sys.schemas AS schemas ON sp.[schema_id] = [schemas].[schema_id]\r\n\tWHERE [schemas].[name] = @SchemaName\r\n\t\tAND sp.[name] = @SPName\r\n\t\tAND [stats].[database_id] = DB_ID('MyDataBaseNameOrVariableIfRunningOnSameDataBase')\r\n\tRETURN\r\nEND\r\n   ------\r\n   --- Influx_LogSPCache\r\nCREATE PROCEDURE [dbo].[Influx_LogSPCache] \r\nAS\r\nBEGIN\r\n\tDECLARE @Total INT;\r\n\tDECLARE @Single INT;\r\n\tDECLARE @Multi INT;\r\n\r\n\tSELECT @Single = SUM(size_in_bytes)/1048576 FROM sys.dm_exec_cached_plans WHERE usecounts = 1\r\n\tSELECT @Multi = SUM(size_in_bytes)/1048576 FROM sys.dm_exec_cached_plans WHERE usecounts > 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NETCONF-yang is required for gRPC Dial-Out telemetry:\nnetconf-yang\n\n! 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I have uploaded it here:\r\nhttps://github.com/micelshima/InfluxDB-Powershell-Module","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2016-12-09T09:46:58.000Z","updatedAt":"2017-01-25T22:14:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1115"},{"rel":"revisions","href":"/dashboards/1115/revisions"},{"rel":"revision","href":"/dashboards/1115/revisions/1"},{"rel":"download","href":"/dashboards/1115/revisions/1/download"},{"rel":"org","href":"/orgs/micelshima"},{"rel":"images","href":"/dashboards/1115/images"},{"rel":"thumbnails","href":"/dashboards/1115/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13513,"status":1,"statusCode":"active","orgId":443543,"orgSlug":"mrizvic","orgName":"mrizvic","slug":"dhcp-messages","downloads":328,"revisionId":19736,"revision":2,"name":"DHCP messages","description":"Observe amount of discover/offer/request/ack/nak/release/inform/decline messages pass your DHCP interface.","readme":"Use this dashboard in combination with dhcpmessages_exporter\r\n\r\nhttps://github.com/mrizvic/dhcpmessage_exporter\r\n\r\nIt listens (pcap) on specific network interfaces for dhcp traffic (bpf filter: udp and port 67) and counts following DHCP messages:\r\n\r\n    discover\r\n    offer\r\n    request\r\n    ack\r\n    nak\r\n    inform\r\n    release\r\n    decline\r\n\r\nStats are available over HTTP in format suitable for prometheus:\r\n\r\n```\r\ndhcp-lab$ curl -s localhost:8067/metrics |grep dhcp\r\n# HELP dhcp_messages_processed_total The total number of processed DHCP messagess\r\n# TYPE dhcp_messages_processed_total counter\r\ndhcp_messages_processed_total{interface=\"ens192\",type=\"ack\"} 0\r\ndhcp_messages_processed_total{interface=\"ens192\",type=\"decline\"} 0\r\ndhcp_messages_processed_total{interface=\"ens192\",type=\"discover\"} 0\r\ndhcp_messages_processed_total{interface=\"ens192\",type=\"inform\"} 0\r\ndhcp_messages_processed_total{interface=\"ens192\",type=\"nak\"} 0\r\ndhcp_messages_processed_total{interface=\"ens192\",type=\"offer\"} 0\r\ndhcp_messages_processed_total{interface=\"ens192\",type=\"release\"} 0\r\ndhcp_messages_processed_total{interface=\"ens192\",type=\"request\"} 0\r\ndhcp_messages_processed_total{interface=\"ens193\",type=\"ack\"} 2\r\ndhcp_messages_processed_total{interface=\"ens193\",type=\"decline\"} 0\r\ndhcp_messages_processed_total{interface=\"ens193\",type=\"discover\"} 12\r\ndhcp_messages_processed_total{interface=\"ens193\",type=\"inform\"} 0\r\ndhcp_messages_processed_total{interface=\"ens193\",type=\"nak\"} 0\r\ndhcp_messages_processed_total{interface=\"ens193\",type=\"offer\"} 0\r\ndhcp_messages_processed_total{interface=\"ens193\",type=\"release\"} 12\r\ndhcp_messages_processed_total{interface=\"ens193\",type=\"request\"} 14\r\ndhcp_messages_processed_total{interface=\"ens224\",type=\"ack\"} 1\r\ndhcp_messages_processed_total{interface=\"ens224\",type=\"decline\"} 0\r\ndhcp_messages_processed_total{interface=\"ens224\",type=\"discover\"} 0\r\ndhcp_messages_processed_total{interface=\"ens224\",type=\"inform\"} 0\r\ndhcp_messages_processed_total{interface=\"ens224\",type=\"nak\"} 0\r\ndhcp_messages_processed_total{interface=\"ens224\",type=\"offer\"} 0\r\ndhcp_messages_processed_total{interface=\"ens224\",type=\"release\"} 0\r\ndhcp_messages_processed_total{interface=\"ens224\",type=\"request\"} 1\r\ndhcp_messages_processed_total{interface=\"ens256\",type=\"ack\"} 14\r\ndhcp_messages_processed_total{interface=\"ens256\",type=\"decline\"} 0\r\ndhcp_messages_processed_total{interface=\"ens256\",type=\"discover\"} 3\r\ndhcp_messages_processed_total{interface=\"ens256\",type=\"inform\"} 0\r\ndhcp_messages_processed_total{interface=\"ens256\",type=\"nak\"} 0\r\ndhcp_messages_processed_total{interface=\"ens256\",type=\"offer\"} 9\r\ndhcp_messages_processed_total{interface=\"ens256\",type=\"release\"} 0\r\ndhcp_messages_processed_total{interface=\"ens256\",type=\"request\"} 4\r\n# HELP packets_captured_total The total number of packets that passed bpf filter\r\n# TYPE packets_captured_total counter\r\npackets_captured_total{interface=\"ens192\",type=\"all\"} 0\r\npackets_captured_total{interface=\"ens193\",type=\"all\"} 40\r\npackets_captured_total{interface=\"ens224\",type=\"all\"} 2\r\npackets_captured_total{interface=\"ens256\",type=\"all\"} 30\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-12-04T16:53:52.000Z","updatedAt":"2020-12-04T21:46:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13513"},{"rel":"revisions","href":"/dashboards/13513/revisions"},{"rel":"revision","href":"/dashboards/13513/revisions/2"},{"rel":"download","href":"/dashboards/13513/revisions/2/download"},{"rel":"org","href":"/orgs/mrizvic"},{"rel":"images","href":"/dashboards/13513/images"},{"rel":"thumbnails","href":"/dashboards/13513/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23147,"status":1,"statusCode":"active","orgId":972719,"orgSlug":"montanera","orgName":"montanera","slug":"dhcp-metrics","downloads":444,"revisionId":36598,"revision":1,"name":"DHCP Metrics","description":"Need windows exporter in v0.30.2 minimum. 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\nSegue links abaixo.\n\n#raphaelisp \n\nhttp://raphaelisp.com.br/\n\nhttps://www.youtube.com/c/raphaelrrl1\n\nhttps://www.facebook.com/raphaelisp\n\nhttps://www.linkedin.com/in/raphaelisp\n\nhttps://www.instagram.com/raphaelispconnect/\n","readme":"Você conhece o Plugin Flowcharting para Grafana?\n\nO trampo foi para um provedor de internet ISP ( Internet Service Provider ).\nNeste dashboard temos o \"monitoramento\" em Real Time de vários Estados e suas respectivas Cidades atendidas.\nAqui usei o Visualizador de métricas Grafana, Datasource Zabbix e Plugin Flowcharting, todos em suas ultimas versões estáveis.\nTemos interação com animações na Topologia como por ex:\n\n-> mudança de cores de acordo com severidade ( Trigger ) do problema.\n-> ícones conexões e elementos com animações reais ( podem piscar, diminuir ou aumentar o tamanho, mudar angulação em 360°)\n-> links para navegabilidade entre as topologias e mapas do Dashboard, para temos a observabilidade Macro e Micro da infraestrutura ( Diagrama de Rede ).\n\nPara realizar o download deste Dashboard basta deixar um comentário, irei enviar o link via Direct :)\nQuer saber mais sobre meu projeto? Segue links.\n\n#raphaelisp \nhttp://raphaelisp.com.br/\nhttps://www.youtube.com/c/raphaelrrl1\nhttps://www.facebook.com/raphaelisp\nhttps://www.linkedin.com/in/raphaelisp\nhttps://www.instagram.com/raphaelispconnect/\nhttps://twitter.com/Raphaelisp00","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"testdata","privacy":"public","createdAt":"2021-11-16T03:12:40.000Z","updatedAt":"2021-11-16T03:16:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15243"},{"rel":"revisions","href":"/dashboards/15243/revisions"},{"rel":"revision","href":"/dashboards/15243/revisions/1"},{"rel":"download","href":"/dashboards/15243/revisions/1/download"},{"rel":"org","href":"/orgs/raphaelrrl"},{"rel":"images","href":"/dashboards/15243/images"},{"rel":"thumbnails","href":"/dashboards/15243/thumbnails"}],"datasourceSlugs":["testdata"]},{"id":23440,"status":1,"statusCode":"active","orgId":1381153,"orgSlug":"jonasjeffersonesteves6","orgName":"jonasjeffersonesteves6","slug":"diagrama-monitoramento-pops-provedor-isp-https-raphaelisp-com-br","downloads":248,"revisionId":37231,"revision":1,"name":"Diagrama Monitoramento POPs Provedor ISP-https://raphaelisp.com.br","description":"Dashboard usado para monitorando das cidades atendidas, descriminadas por estados brasileiros .\r\nQuer saber mais sobre meu projeto? \r\nSegue links abaixo.\r\n\r\n#raphaelisp \r\n\r\nhttp://raphaelisp.com.br/\r\n\r\nhttps://www.youtube.com/c/raphaelrrl1\r\n\r\nhttps://www.facebook.com/raphaelisp\r\n\r\nhttps://www.linkedin.com/in/raphaelisp\r\n\r\nhttps://www.instagram.com/raphaelispconnect/","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"TestData DB","privacy":"public","createdAt":"2025-05-16T09:46:56.000Z","updatedAt":"2025-05-16T09:47:26.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23440"},{"rel":"revisions","href":"/dashboards/23440/revisions"},{"rel":"revision","href":"/dashboards/23440/revisions/1"},{"rel":"download","href":"/dashboards/23440/revisions/1/download"},{"rel":"org","href":"/orgs/jonasjeffersonesteves6"},{"rel":"images","href":"/dashboards/23440/images"},{"rel":"thumbnails","href":"/dashboards/23440/thumbnails"}],"datasourceSlugs":["testdata"]},{"id":24468,"status":1,"statusCode":"active","orgId":1198395,"orgSlug":"ifitelecom","orgName":"mimax-telecom","slug":"diagrama-monitoramento-pops-provedor-isp-https-raphaelisp-com-br","downloads":41,"revisionId":39149,"revision":1,"name":"Diagrama Monitoramento POPs Provedor ISP-https://raphaelisp.com.br","description":"Dashboard usado para monitorando das cidades atendidas, descriminadas por estados brasileiros .\r\nQuer saber mais sobre meu projeto? \r\nSegue links abaixo.\r\n\r\n#raphaelisp \r\n\r\nhttp://raphaelisp.com.br/\r\n\r\nhttps://www.youtube.com/c/raphaelrrl1\r\n\r\nhttps://www.facebook.com/raphaelisp\r\n\r\nhttps://www.linkedin.com/in/raphaelisp\r\n\r\nhttps://www.instagram.com/raphaelispconnect/","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"TestData DB","privacy":"public","createdAt":"2025-11-25T19:08:27.000Z","updatedAt":"2025-11-25T19:08:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24468"},{"rel":"revisions","href":"/dashboards/24468/revisions"},{"rel":"revision","href":"/dashboards/24468/revisions/1"},{"rel":"download","href":"/dashboards/24468/revisions/1/download"},{"rel":"org","href":"/orgs/ifitelecom"},{"rel":"images","href":"/dashboards/24468/images"},{"rel":"thumbnails","href":"/dashboards/24468/thumbnails"}],"datasourceSlugs":["testdata"]},{"id":9823,"status":1,"statusCode":"active","orgId":232172,"orgSlug":"zjx","orgName":"zjx","slug":"dic-home","downloads":591,"revisionId":13680,"revision":1,"name":"DIC-Home","description":"spring cloud all service","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-02-20T12:30:15.000Z","updatedAt":"2019-02-20T12:35:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9823"},{"rel":"revisions","href":"/dashboards/9823/revisions"},{"rel":"revision","href":"/dashboards/9823/revisions/1"},{"rel":"download","href":"/dashboards/9823/revisions/1/download"},{"rel":"org","href":"/orgs/zjx"},{"rel":"images","href":"/dashboards/9823/images"},{"rel":"thumbnails","href":"/dashboards/9823/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9824,"status":1,"statusCode":"active","orgId":232172,"orgSlug":"zjx","orgName":"zjx","slug":"dic-monitor2","downloads":783,"revisionId":13681,"revision":1,"name":"DIC-Monitor","description":"Dashboard for Micrometer instrumented applications (Java, Spring Boot, Micronaut)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-02-20T12:38:32.000Z","updatedAt":"2019-02-20T12:39:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9824"},{"rel":"revisions","href":"/dashboards/9824/revisions"},{"rel":"revision","href":"/dashboards/9824/revisions/1"},{"rel":"download","href":"/dashboards/9824/revisions/1/download"},{"rel":"org","href":"/orgs/zjx"},{"rel":"images","href":"/dashboards/9824/images"},{"rel":"thumbnails","href":"/dashboards/9824/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15201,"status":1,"statusCode":"active","orgId":561608,"orgSlug":"wasabiidev","orgName":"wasabiidev","slug":"cosmos-validator","downloads":293,"revisionId":22792,"revision":1,"name":"DIG Testnet - Stats","description":"DIG Testnet Blockchain Stats - courtesy of GhostStake.cloud","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"bonding, vmstat, stat, time, loadavg","datasource":"Prometheus","privacy":"public","createdAt":"2021-11-07T01:41:33.000Z","updatedAt":"2021-11-07T01:44:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15201"},{"rel":"revisions","href":"/dashboards/15201/revisions"},{"rel":"revision","href":"/dashboards/15201/revisions/1"},{"rel":"download","href":"/dashboards/15201/revisions/1/download"},{"rel":"org","href":"/orgs/wasabiidev"},{"rel":"images","href":"/dashboards/15201/images"},{"rel":"thumbnails","href":"/dashboards/15201/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24234,"status":1,"statusCode":"active","orgId":1558299,"orgSlug":"hyperclaw79","orgName":"hyperclaw79","slug":"digiclonemcp-server-tools-readiness","downloads":111,"revisionId":38760,"revision":3,"name":"DigiCloneMCP — Server Tools & Readiness","description":"Prometheus-powered dashboard to monitor the DigiCloneMCP Server: readiness, tool throughput (QPS), and latency percentiles.","readme":"# DigiCloneMCP — Server Tools & Readiness\r\n\r\nPrometheus-powered dashboard to monitor the **DigiCloneMCP server**: readiness, tool throughput (QPS), and latency percentiles.\r\n\r\n---\r\n\r\n## Overview\r\n- Grafana: 12.2.0+\r\n- Datasource: Prometheus\r\n- Default range: 1h\r\n- Refresh: 30m\r\n- Title: `DigiCloneMCP — Tools & Readiness`\r\n\r\n---\r\n\r\n## Panels\r\n**Health**\r\n- Target Up → `up`\r\n- App Ready → `app_ready`\r\n\r\n**Throughput**\r\n- Tool QPS (1m) → `rate(mcp_tool_calls_total[1m])`\r\n- Total Calls (since start) → `sum(mcp_tool_calls_total)`\r\n- Top Tools (QPS 1m) → `topk(10, rate(mcp_tool_calls_total[1m]))`\r\n\r\n**Latency**\r\n- p50/p95/p99 (5m) → `histogram_quantile(<q>, sum by (le) (rate(mcp_tool_duration_seconds_bucket[5m])))`\r\n- p95 by Tool (5m) → `histogram_quantile(0.95, sum by (le, tool) (rate(mcp_tool_duration_seconds_bucket[5m])))`\r\n\r\n**Readiness Timeline**\r\n- App Ready over time → `app_ready`\r\n\r\n---\r\n\r\n## Variables\r\n- `datasource`: Prometheus source\r\n- `namespace`: `label_values(app_ready, namespace)`\r\n- `job`: `label_values(app_ready{namespace=\"$namespace\"}, job)`\r\n- `tool` (multi): `label_values(mcp_tool_calls_total{namespace=\"$namespace\", job=~\"$job\"}, tool)`\r\n\r\n---\r\n\r\n## Key Queries\r\n- **Target Up:** `max(up{job=~\"$job\", namespace=\"$namespace\"})`\r\n- **App Ready:** `max(app_ready{job=~\"$job\", namespace=\"$namespace\"})`\r\n- **Tool QPS (1m):** `sum(rate(mcp_tool_calls_total{job=~\"$job\", namespace=\"$namespace\", tool=~\"$tool\"}[1m]))`\r\n- **Latency p95 (5m):** `histogram_quantile(0.95, sum by (le) (rate(mcp_tool_duration_seconds_bucket{job=~\"$job\", namespace=\"$namespace\"}[5m])))`\r\n- **p95 by Tool (5m):** `histogram_quantile(0.95, sum by (le, tool) (rate(mcp_tool_duration_seconds_bucket{job=~\"$job\", namespace=\"$namespace\", tool=~\"$tool\"}[5m])))`\r\n\r\n---\r\n\r\n## Import\r\n**Upload JSON**\r\n1. Dashboards → New → Import  \r\n2. Upload the JSON and choose your Prometheus datasource for `DS_PROMETHEUS`\r\n\r\n**Grafana Labs ID**\r\n- After publishing, you can import by ID directly.\r\n\r\n---\r\n\r\n## Requirements\r\n- DigiCloneMCP server must expose:\r\n  - `up`\r\n  - `app_ready`\r\n  - `mcp_tool_calls_total`\r\n  - `mcp_tool_duration_seconds_bucket`\r\n- Metrics should include labels: `namespace`, `job`, `tool`\r\n\r\n---\r\n\r\n## Usage\r\n1. Select `namespace` and `job` for the DigiCloneMCP server.\r\n2. Keep `tool = All` for aggregate view or pick tools to drill down.\r\n3. Watch:\r\n   - **Up/Ready** for quick health\r\n   - **QPS** for throughput\r\n   - **Latency percentiles** for slowdowns\r\n   - **Readiness timeline** for flaps\r\n4. For live ops, set refresh to `30s–2m`.\r\n\r\n---","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2025-10-12T14:34:30.000Z","updatedAt":"2025-10-23T16:24:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24234"},{"rel":"revisions","href":"/dashboards/24234/revisions"},{"rel":"revision","href":"/dashboards/24234/revisions/3"},{"rel":"download","href":"/dashboards/24234/revisions/3/download"},{"rel":"org","href":"/orgs/hyperclaw79"},{"rel":"images","href":"/dashboards/24234/images"},{"rel":"thumbnails","href":"/dashboards/24234/thumbnails"}]},{"id":10338,"status":1,"statusCode":"active","orgId":257087,"orgSlug":"visgiri","orgName":"visgiri","slug":"new-priority-dashboard","downloads":322,"revisionId":14457,"revision":1,"name":"DiMSC Dashboard","description":"DiMSC Dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Microsoft SQL Server","privacy":"public","createdAt":"2019-06-13T07:06:02.000Z","updatedAt":"2019-06-13T07:06:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10338"},{"rel":"revisions","href":"/dashboards/10338/revisions"},{"rel":"revision","href":"/dashboards/10338/revisions/1"},{"rel":"download","href":"/dashboards/10338/revisions/1/download"},{"rel":"org","href":"/orgs/visgiri"},{"rel":"images","href":"/dashboards/10338/images"},{"rel":"thumbnails","href":"/dashboards/10338/thumbnails"}],"datasourceSlugs":["mssql"]},{"id":19208,"status":1,"statusCode":"active","orgId":899503,"orgSlug":"piotrku","orgName":"piotrku","slug":"directadmin","downloads":369,"revisionId":29440,"revision":1,"name":"DirectAdmin","description":"The Grafana Dashboard for directadmin-exporter displays essential metrics from DirectAdmin, providing a comprehensive overview of the server's health and performance. It includes graphs for the number of users, resellers, domains, subdomains, domain pointers, emails, mailing lists, forwarders, responders, databases, FTP accounts, current load average, email incoming/outgoing statistics, and quota/bandwidth statistics, enabling easy monitoring and analysis of the system's status.","readme":"The **Grafana Dashboard for directadmin-exporter** is a valuable monitoring tool that offers a comprehensive overview of key metrics from your DirectAdmin server. The dashboard utilizes the [directadmin-exporter](https://github.com/piotr-ku/directadmin-exporter), an open-source Prometheus exporter, to provide insightful visualizations of various crucial performance indicators. This enables system administrators to effectively analyze historical data and gain valuable insights into their server's health and performance.\r\n\r\n### About directadmin-exporter\r\n\r\n[directadmin-exporter](https://github.com/piotr-ku/directadmin-exporter) is an open-source Prometheus exporter specifically designed to scrape essential metrics from DirectAdmin servers. It facilitates seamless integration with Prometheus, allowing for the collection and storage of DirectAdmin metrics over time.\r\n\r\nThe exporter efficiently fetches metrics using the [DirectAdmin API](https://www.directadmin.com/api.php). These metrics include the number of users, resellers, domains, emails, databases, and more, all of which are made available for monitoring through Prometheus.\r\n\r\n### Metrics Supported\r\n\r\nThe dashboard supports a wide range of metrics collected by the directadmin-exporter:\r\n\r\n1. **Number of Users:** Monitor the total number of users on the DirectAdmin server.\r\n\r\n2. **Number of Resellers:** Keep track of the count of resellers on the server.\r\n\r\n3. **Number of Domains:** Stay informed about the total number of hosted domains.\r\n\r\n4. **Number of Subdomains:** Track the count of subdomains set up on the server.\r\n\r\n5. **Number of Domain Pointers:** Observe the number of domain pointers configured.\r\n\r\n6. **Number of Emails:** Monitor the total count of email accounts set up.\r\n\r\n7. **Number of Mailing Lists:** Keep track of the number of mailing lists created.\r\n\r\n8. **Number of Forwarders:** Stay informed about the total count of email forwarders.\r\n\r\n9. **Number of Responders:** Observe the number of email auto-responders in use.\r\n\r\n10. **Number of Databases:** Track the count of databases hosted on the server.\r\n\r\n11. **Number of FTP Accounts:** Monitor the total number of FTP accounts configured.\r\n\r\n12. **Current Load Average (Real-time):** Get real-time insights into the server's current load average.\r\n\r\n13. **Email Incoming/Outgoing Statistics:** Observe statistics related to incoming and outgoing emails.\r\n\r\n14. **Quota/Bandwidth Statistics:** Keep track of server quota and bandwidth usage statistics.\r\n\r\n### Instance Variable for Enhanced Filtering\r\n\r\nIn addition to the diverse range of supported metrics, this Grafana Dashboard introduces an **\"instance\" variable** that offers an enhanced filtering feature. With this capability, system administrators can easily focus on specific instances of DirectAdmin servers, making it an ideal choice for monitoring multiple servers from a centralized Grafana instance.\r\n\r\nBy using the \"instance\" variable, administrators can seamlessly switch between different DirectAdmin server instances and compare their performance metrics side-by-side. This feature is particularly beneficial for organizations with multiple servers or for service providers managing clients on separate DirectAdmin instances.\r\n\r\n### Historical Data Analysis\r\n\r\nWhile real-time monitoring is available for the current load average, the majority of metrics in this dashboard provide historical data analysis. This means that the dashboard allows administrators to assess server performance over time, enabling them to identify trends, patterns, and historical peaks in resource usage. Analyzing historical data is critical for capacity planning, performance optimization, and identifying long-term trends in server utilization.\r\n\r\nIn conclusion, this comprehensive and customizable Grafana Dashboard, along with the powerful [directadmin-exporter](https://github.com/piotr-ku/directadmin-exporter), provides an indispensable tool for system administrators to gain valuable insights into their DirectAdmin infrastructure's health and performance. The \"instance\" variable enhances its capabilities, making it a preferred choice for organizations seeking effective historical monitoring and performance analysis.","collectorType":"Select Collector","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-21T08:14:24.000Z","updatedAt":"2023-07-21T08:42:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19208"},{"rel":"revisions","href":"/dashboards/19208/revisions"},{"rel":"revision","href":"/dashboards/19208/revisions/1"},{"rel":"download","href":"/dashboards/19208/revisions/1/download"},{"rel":"org","href":"/orgs/piotrku"},{"rel":"images","href":"/dashboards/19208/images"},{"rel":"thumbnails","href":"/dashboards/19208/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11595,"status":1,"statusCode":"active","orgId":339219,"orgSlug":"stcjaydenthorup","orgName":"JAYDEN THORUP","slug":"director","downloads":592,"revisionId":22754,"revision":16,"name":"Director","description":"Dashboard for the Storagecraft ShadowXafe Director. Storage Notifications are introduced. 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library.","readme":"discord-ext-prometheus is available on [PyPi](https://pypi.org/project/discord-ext-prometheus/).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2022-12-20T16:56:28.000Z","updatedAt":"2024-06-12T02:54:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17670"},{"rel":"revisions","href":"/dashboards/17670/revisions"},{"rel":"revision","href":"/dashboards/17670/revisions/2"},{"rel":"download","href":"/dashboards/17670/revisions/2/download"},{"rel":"org","href":"/orgs/apolloroboto"},{"rel":"images","href":"/dashboards/17670/images"},{"rel":"thumbnails","href":"/dashboards/17670/thumbnails"}]},{"id":11240,"status":1,"statusCode":"active","orgId":294078,"orgSlug":"terorie","orgName":"terorie","slug":"discord","downloads":457,"revisionId":15689,"revision":1,"name":"Discord Monitoring","description":"Discord Activity Stats","readme":"For use with the `discord-influx` Rust exporter: [github.com/terorie/discord-influx](https://github.com/terorie/discord-influx)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-11-20T18:57:30.000Z","updatedAt":"2019-11-20T19:03:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11240"},{"rel":"revisions","href":"/dashboards/11240/revisions"},{"rel":"revision","href":"/dashboards/11240/revisions/1"},{"rel":"download","href":"/dashboards/11240/revisions/1/download"},{"rel":"org","href":"/orgs/terorie"},{"rel":"images","href":"/dashboards/11240/images"},{"rel":"thumbnails","href":"/dashboards/11240/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15521,"status":1,"statusCode":"active","orgId":586864,"orgSlug":"triformine","orgName":"triformine","slug":"discordeno-grafana-prometheus","downloads":329,"revisionId":23542,"revision":3,"name":"Discordeno Grafana/Prometheus","description":"This dashboard show current memory usage/cache sizes.From a discordeno bot","readme":"Template dashboard made for [discordeno prometheus plugin](https://github.com/TriForMine/discordeno-prometheus-plugin).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-01-11T15:47:34.000Z","updatedAt":"2022-01-21T16:03:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15521"},{"rel":"revisions","href":"/dashboards/15521/revisions"},{"rel":"revision","href":"/dashboards/15521/revisions/3"},{"rel":"download","href":"/dashboards/15521/revisions/3/download"},{"rel":"org","href":"/orgs/triformine"},{"rel":"images","href":"/dashboards/15521/images"},{"rel":"thumbnails","href":"/dashboards/15521/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3539,"status":1,"statusCode":"active","orgId":93626,"orgSlug":"samsaffron","orgName":"samsaffron","slug":"new-site-dashboard","downloads":1123,"revisionId":4871,"revision":1,"name":"Discourse Stats","description":"Official Dashboard Used by the Prometheus Discourse plugin","readme":"Dashboard consumes metrics reported by the official prometheus plugin for Discourse\r\n\r\nhttps://meta.discourse.org/t/prometheus-exporter-plugin-for-discourse/72666","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-10-24T22:52:56.000Z","updatedAt":"2017-10-24T22:56:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3539"},{"rel":"revisions","href":"/dashboards/3539/revisions"},{"rel":"revision","href":"/dashboards/3539/revisions/1"},{"rel":"download","href":"/dashboards/3539/revisions/1/download"},{"rel":"org","href":"/orgs/samsaffron"},{"rel":"images","href":"/dashboards/3539/images"},{"rel":"thumbnails","href":"/dashboards/3539/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20675,"status":1,"statusCode":"active","orgId":1069197,"orgSlug":"therealtoxicdev","orgName":"therealtoxicdev","slug":"discourse-stats","downloads":254,"revisionId":31961,"revision":1,"name":"Discourse Stats","description":"Official Dashboard Used by the Prometheus Discourse plugin","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-13T08:58:28.000Z","updatedAt":"2024-03-13T08:59:13.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20675"},{"rel":"revisions","href":"/dashboards/20675/revisions"},{"rel":"revision","href":"/dashboards/20675/revisions/1"},{"rel":"download","href":"/dashboards/20675/revisions/1/download"},{"rel":"org","href":"/orgs/therealtoxicdev"},{"rel":"images","href":"/dashboards/20675/images"},{"rel":"thumbnails","href":"/dashboards/20675/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3011,"status":1,"statusCode":"active","orgId":78983,"orgSlug":"dmlurth","orgName":"dmlurth","slug":"disk","downloads":1485,"revisionId":11461,"revision":3,"name":"disk","description":"graphs for disk operation","readme":"updated for node_exporter 0.16.0","collectorType":"nodeExporter","collectorConfig":"Queries assume prometheus.yml: `- job_name: 'node'`","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-08-18T22:05:09.000Z","updatedAt":"2018-10-13T18:34:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3011"},{"rel":"revisions","href":"/dashboards/3011/revisions"},{"rel":"revision","href":"/dashboards/3011/revisions/3"},{"rel":"download","href":"/dashboards/3011/revisions/3/download"},{"rel":"org","href":"/orgs/dmlurth"},{"rel":"images","href":"/dashboards/3011/images"},{"rel":"thumbnails","href":"/dashboards/3011/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11861,"status":1,"statusCode":"active","orgId":331660,"orgSlug":"mateussouzaweb","orgName":"mateussouzaweb","slug":"disk-io","downloads":1239,"revisionId":17097,"revision":2,"name":"Disk & IO","description":"by MateusSouzaWeb","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-03-06T18:26:35.000Z","updatedAt":"2020-04-02T21:24:01.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11861"},{"rel":"revisions","href":"/dashboards/11861/revisions"},{"rel":"revision","href":"/dashboards/11861/revisions/2"},{"rel":"download","href":"/dashboards/11861/revisions/2/download"},{"rel":"org","href":"/orgs/mateussouzaweb"},{"rel":"images","href":"/dashboards/11861/images"},{"rel":"thumbnails","href":"/dashboards/11861/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24591,"status":1,"statusCode":"active","orgId":1623846,"orgSlug":"tezvi","orgName":"tezvi","slug":"disk-smart-exporter-overview","downloads":127,"revisionId":39384,"revision":1,"name":"Disk SMART Exporter - Overview","description":"Dashboard for disk SMART data that supports multiple RAID controllers and disk types. Collects SMART metrics from physical disks via smartctl, and from RAID controllers via storcli (LSI/Broadcom/Fujitsu PRAID) and ssacli (HP Smart Array).","readme":"Dasboard for disk SMART data that supports multiple RAID controllers and disk types. Collects SMART metrics from physical disks via `smartctl`, and from RAID controllers via `storcli` (LSI/Broadcom/Fujitsu PRAID) and `ssacli` (HP Smart Array).\r\n\r\n## Features\r\n\r\n- **Multi-source SMART data collection**:\r\n  - Direct disk monitoring via `smartctl` (SATA, SAS, NVMe)\r\n  - RAID controller physical drives via `storcli` (Fujitsu PRAID EP420i, LSI controllers)\r\n  - RAID controller physical drives via `ssacli` (HP Smart Array)\r\n  \r\n- **Comprehensive metrics**:\r\n  - Device health status\r\n  - Temperature monitoring\r\n  - Error counts and SMART attributes\r\n  - Disk capacity and usage\r\n  - Power-on hours\r\n  - Reallocated sectors and offline uncorrectable sectors\r\n  - NVMe-specific metrics (critical warnings, percentage used)\r\n\r\nExporter is implemented here: https://github.com/tezvi/disksmart_exporter\r\nRead README instructions and setup exporter before using this dashboard.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-12-21T11:39:10.000Z","updatedAt":"2025-12-21T16:39:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24591"},{"rel":"revisions","href":"/dashboards/24591/revisions"},{"rel":"revision","href":"/dashboards/24591/revisions/1"},{"rel":"download","href":"/dashboards/24591/revisions/1/download"},{"rel":"org","href":"/orgs/tezvi"},{"rel":"images","href":"/dashboards/24591/images"},{"rel":"thumbnails","href":"/dashboards/24591/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":569,"status":1,"statusCode":"active","orgId":30992,"orgSlug":"jskarpet","orgName":"Jon Skarpeteig","slug":"disk-stats","downloads":5953,"revisionId":767,"revision":1,"name":"Disk stats","description":"Disk statistics for load, IOPS, pending operations and traffic","readme":"Show values from CollectD disk plugin stored in InfluxDB","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"Disk plugin","datasource":"InfluxDB","privacy":"public","createdAt":"2016-10-06T08:28:50.000Z","updatedAt":"2017-02-20T14:29:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/569"},{"rel":"revisions","href":"/dashboards/569/revisions"},{"rel":"revision","href":"/dashboards/569/revisions/1"},{"rel":"download","href":"/dashboards/569/revisions/1/download"},{"rel":"org","href":"/orgs/jskarpet"},{"rel":"images","href":"/dashboards/569/images"},{"rel":"thumbnails","href":"/dashboards/569/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24801,"status":1,"statusCode":"active","orgId":891964,"orgSlug":"callcorp","orgName":"CallCorp","slug":"disk-usage","downloads":67,"revisionId":39792,"revision":1,"name":"Disk Usage","description":"CallCorp - Disk Usage","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-02-06T16:37:29.000Z","updatedAt":"2026-02-09T14:06:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24801"},{"rel":"revisions","href":"/dashboards/24801/revisions"},{"rel":"revision","href":"/dashboards/24801/revisions/1"},{"rel":"download","href":"/dashboards/24801/revisions/1/download"},{"rel":"org","href":"/orgs/callcorp"},{"rel":"images","href":"/dashboards/24801/images"},{"rel":"thumbnails","href":"/dashboards/24801/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20349,"status":1,"statusCode":"active","orgId":428770,"orgSlug":"openworklabbot","orgName":"openworklabbot","slug":"disk-usage-stats","downloads":748,"revisionId":32407,"revision":2,"name":"Disk Usage Stats","description":"Disk usage stats for lotus host machines","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-01-23T10:53:55.000Z","updatedAt":"2024-04-15T11:28:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20349"},{"rel":"revisions","href":"/dashboards/20349/revisions"},{"rel":"revision","href":"/dashboards/20349/revisions/2"},{"rel":"download","href":"/dashboards/20349/revisions/2/download"},{"rel":"org","href":"/orgs/openworklabbot"},{"rel":"images","href":"/dashboards/20349/images"},{"rel":"thumbnails","href":"/dashboards/20349/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18328,"status":1,"statusCode":"active","orgId":683756,"orgSlug":"bauk","orgName":"bauk","slug":"disk-space-utilization","downloads":2128,"revisionId":28140,"revision":1,"name":"Disk Utilization","description":"Disk_space_utilization\nMix by node_exporter and windows_exporter.","readme":"Only requires the default job_name: node or windows , add as many targets as you need in `prometheus.yml`.\n```yaml\n  - job_name: node\n    static_configs:\n      - targets: ['localhost:9100']\n  - job_name: windows\n    static_configs:\n      - targets: ['localhost:9182']\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-21T02:30:35.000Z","updatedAt":"2023-04-10T07:52:19.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18328"},{"rel":"revisions","href":"/dashboards/18328/revisions"},{"rel":"revision","href":"/dashboards/18328/revisions/1"},{"rel":"download","href":"/dashboards/18328/revisions/1/download"},{"rel":"org","href":"/orgs/bauk"},{"rel":"images","href":"/dashboards/18328/images"},{"rel":"thumbnails","href":"/dashboards/18328/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12804,"status":1,"statusCode":"active","orgId":225578,"orgSlug":"sobaka","orgName":"sobaka","slug":"diskstat","downloads":432,"revisionId":18452,"revision":1,"name":"Diskstat","description":"Dashboard of disk usage","readme":"DiskStat Dashboard host or guest machine.\r\n\r\nShow metrics:\r\n* Read/write device per second\r\n* IO bandwidth utilization\r\n* The number (after merges) of requests completed\r\n* The average time for requests\r\n* Average Queue size (sectors)\r\n* Queue utilization\r\n* I/Os currently in progress\r\n\r\ngrafana->graphite->collectd","collectorType":"collectd","collectorConfig":"```LoadPlugin python\r\n<Plugin python>\r\n\tModulePath \"/opt/collectd/python\"\r\n\r\n\tImport \"diskstat\"\r\n\t<Module diskstat>\r\n#\t\tVerbose true\r\n\t\tInterval 60\r\n\t</Module>\r\n</Plugin>\r\n```\r\n\r\n### /opt/collectd/python/diskstat.py\r\n\r\n```import collectd\r\n\r\nclass diskstat(object):\r\n\r\n    def __init__(self):\r\n        self.plugin_name = 'diskstat'\r\n        self.verbose_logging = False\r\n\r\n    def log_verbose(self, msg):\r\n        if not self.verbose_logging:\r\n            return\r\n        collectd.info('%s plugin [verbose]: %s' % (self.plugin_name, msg))\r\n\r\n    def store(self, key, val):\r\n        val = collectd.Values(type='gauge', plugin=self.plugin_name, type_instance=key, values=[val])\r\n        val.dispatch()\r\n        self.log_verbose('Sending value: %s:%s' % (key, val))\r\n\r\n    def getdata(self):\r\n        ret = {}\r\n        mounted={}\r\n        with open('/proc/self/mountinfo', 'r') as f:\r\n            for line in f:\r\n                arr = line.split()\r\n                mounted[arr[2]] = arr[4]\r\n        tpl = ['major', 'minor', 'dev_name', 'rd_ios', 'rd_merges', 'rd_sect', 'rd_ticks', 'wr_ios', 'wr_merges', 'wr_sect', 'wr_ticks', 'ios_in_progress', 'tot_ticks', 'rq_ticks', 'dc_ios', 'dc_merges', 'dc_sec', 'dc_ticks']\r\n        with open('/proc/diskstats', 'r') as f:\r\n            for line in f:\r\n                arr = line.split()\r\n                major = int(arr[0])\r\n                # collect major=8 and len(dev_name)==3 (sda,sdb,sdc... for Hostsystem)\r\n                if major == 8 and len(arr[2]) == 3:\r\n                    dev_name = arr[2]\r\n                    ret[dev_name] = {}\r\n                    i = 0\r\n                    for val in arr:\r\n                        key = tpl[i]\r\n                        ret[dev_name][key] = val\r\n                        i += 1\r\n                # collect major=254,253,252,8 and mounted devices (only mounted for guestVM)\r\n                major_minor = \"%s:%s\" % (arr[0], arr[1])\r\n                if major in [254, 253, 252, 8] and major_minor in mounted:\r\n                    dev_name = mounted[major_minor][1:].replace('/', '-')\r\n                    if not dev_name:\r\n                        dev_name = 'root'\r\n                    ret[dev_name] = {}\r\n                    i = 0\r\n                    for val in arr:\r\n                        key = tpl[i]\r\n                        ret[dev_name][key] = val\r\n                        i += 1\r\n        return ret\r\n\r\n    def read(self):\r\n        data = self.getdata()\r\n        for name in data:\r\n            qname = name.replace('.','_')\r\n            # ios_in_progress\r\n            self.store('%s__ios_in_progress' % qname, int(data[name]['ios_in_progress']))\r\n            # sectors read and sectors written\r\n            self.store('%s__wr_sect' % qname, int(data[name]['wr_sect']))\r\n            self.store('%s__rd_sect' % qname, int(data[name]['rd_sect']))\r\n            # reads merged and writes merged\r\n            self.store('%s__wr_merges' % qname, int(data[name]['wr_merges']))\r\n            self.store('%s__rd_merges' % qname, int(data[name]['rd_merges']))\r\n            # writes completed and reads completed successfully\r\n            self.store('%s__wr_ios' % qname, int(data[name]['wr_ios']))\r\n            self.store('%s__rd_ios' % qname, int(data[name]['rd_ios']))\r\n            # ticks in ms\r\n            self.store('%s__rd_ticks' % qname, int(data[name]['rd_ticks']))\r\n            self.store('%s__wr_ticks' % qname, int(data[name]['wr_ticks']))\r\n            self.store('%s__tot_ticks' % qname, int(data[name]['tot_ticks']))\r\n            self.store('%s__rq_ticks' % qname, int(data[name]['rq_ticks']))\r\n\r\n    def configure_callback(self, conf):\r\n        for node in conf.children:\r\n            vals = [str(v) for v in node.values]\r\n            if node.key == 'Verbose':\r\n                self.verbose_logging = (vals[0].lower() == 'true')\r\n            elif node.key == 'Interval':\r\n                self.interval = float(vals[0])\r\n            else:\r\n                raise ValueError('%s plugin: Unknown config key: %s' % (self.plugin_name, node.key))\r\n        collectd.register_read(self.read, self.interval)\r\n        self.log_verbose('configured with interval=%s' % self.interval)\r\n\r\n\r\napp_diskstat = diskstat()\r\ncollectd.register_config(app_diskstat.configure_callback)\r\n```","collectorPluginList":"Python plugin, Write Graphite 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","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2020-01-21T05:23:51.000Z","updatedAt":"2020-01-21T05:24:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11588"},{"rel":"revisions","href":"/dashboards/11588/revisions"},{"rel":"revision","href":"/dashboards/11588/revisions/1"},{"rel":"download","href":"/dashboards/11588/revisions/1/download"},{"rel":"org","href":"/orgs/pyocote"},{"rel":"images","href":"/dashboards/11588/images"},{"rel":"thumbnails","href":"/dashboards/11588/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":19396,"status":1,"statusCode":"active","orgId":931301,"orgSlug":"affranco","orgName":"affranco","slug":"disponibilidad-servicios-aws","downloads":287,"revisionId":29739,"revision":1,"name":"Disponibilidad Servicios AWS","description":"Test Tu 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It is created using the [Django-mixin](https://github.com/adinhodovic/django-mixin).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2022-12-15T00:49:13.000Z","updatedAt":"2026-04-27T11:18:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/17616"},{"rel":"revisions","href":"/dashboards/17616/revisions"},{"rel":"revision","href":"/dashboards/17616/revisions/8"},{"rel":"download","href":"/dashboards/17616/revisions/8/download"},{"rel":"org","href":"/orgs/adinhodovic"},{"rel":"images","href":"/dashboards/17616/images"},{"rel":"thumbnails","href":"/dashboards/17616/thumbnails"}]},{"id":7996,"status":1,"statusCode":"active","orgId":190846,"orgSlug":"jslivka","orgName":"J. 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ParseDMARC","readme":"# DMARC Reports Dashboard\r\nDashboard to visualize data from [ParseDMARC](https://github.com/domainaware/parsedmarc)\r\n\r\n# Bugs, suggestions and feedback.\r\nBug reports, suggestions and feedback to [GitHub](https://github.com/bhozar/grafana-dashboards/tree/master/parsedmarc) please!\r\n\r\n# Datasource Setup\r\nTwo data sources to be updates, one for Aggregate reports and one for Forensic reports.\r\n\r\n### Aggregate data source setup\r\n![Aggregate data source setup](https://grafana.com/api/dashboards/11227/images/7189/image)\r\n\r\n### Forensic data source setup\r\n![Forensic data source setup](https://grafana.com/api/dashboards/11227/images/7190/image)\r\n\r\nAggregate data is per-day, so dashboard is only helpful when looking back 24hr+.\r\n\r\n# Screenshots\r\n![DMARC Report Overview](https://grafana.com/api/dashboards/11227/images/7188/image)\r\n![DMARC Report Status Over Time](https://grafana.com/api/dashboards/11227/images/7194/image)\r\n![DMARC 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https://github.com/tykling/dns_exporter\r\n\r\nDocumentation and examples at https://dns-exporter.readthedocs.io/latest/examples.html","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-03T15:54:14.000Z","updatedAt":"2024-03-07T06:17:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20617"},{"rel":"revisions","href":"/dashboards/20617/revisions"},{"rel":"revision","href":"/dashboards/20617/revisions/2"},{"rel":"download","href":"/dashboards/20617/revisions/2/download"},{"rel":"org","href":"/orgs/tykling"},{"rel":"images","href":"/dashboards/20617/images"},{"rel":"thumbnails","href":"/dashboards/20617/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17171,"status":1,"statusCode":"active","orgId":65309,"orgSlug":"ns1labs","orgName":"ns1labs","slug":"dns-insights-dns-threat-analysis","downloads":390,"revisionId":26473,"revision":2,"name":"DNS Insights - DNS Threat 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Overview","description":"NS1 DNS Insights dashboard providing an overview of DNS and network metrics.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-10-12T21:10:37.000Z","updatedAt":"2022-10-12T21:24:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17170"},{"rel":"revisions","href":"/dashboards/17170/revisions"},{"rel":"revision","href":"/dashboards/17170/revisions/1"},{"rel":"download","href":"/dashboards/17170/revisions/1/download"},{"rel":"org","href":"/orgs/ns1labs"},{"rel":"images","href":"/dashboards/17170/images"},{"rel":"thumbnails","href":"/dashboards/17170/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19113,"status":1,"statusCode":"active","orgId":729767,"orgSlug":"ns1insights","orgName":"ns1insights","slug":"dns-insights-overview-new","downloads":291,"revisionId":29271,"revision":1,"name":"DNS 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Masq","description":"Dashboard of dnsmasq statistic","readme":"### On Dashboard:\r\n* Internal dnsmasq stats (evictions, hits, auth, insections and misses queries)\r\n* Upstream queries\r\n* Upstream errors\r\n\r\n#### Requirement: python-dnspython\r\n\r\ngrafana->graphite->collectd","collectorType":"collectd","collectorConfig":"```\r\nLoadPlugin python\r\n<Plugin python>\r\n\tModulePath \"/opt/collectd/python\"\r\n\r\n\tImport \"dns_masq\"\r\n\t<Module dns_masq>\r\n#\t\tVerbose true\r\n\t\tInterval 60\r\n        Address \"<dnsmasq_address>\"\r\n        Timeout 1\r\n\t</Module>\r\n</Plugin>\r\n```\r\n\r\n### /opt/collectd/python/dns_masq.py\r\n```\r\nimport collectd\r\n\r\nimport dns.resolver\r\n\r\nclass dns_masq(object):\r\n    def __init__(self):\r\n        self.plugin_name = 'dns_masq'\r\n        self.verbose_logging = False\r\n        self.address = '127.0.0.1'\r\n        self.timeout = 0.5\r\n\r\n    def log_verbose(self, msg):\r\n        if not self.verbose_logging:\r\n            return\r\n        collectd.info('%s plugin [verbose]: %s' % (self.plugin_name, msg))\r\n\r\n    def store(self, key, val):\r\n        val = collectd.Values(type='gauge', plugin=self.plugin_name, type_instance=key, values=[val])\r\n        val.dispatch()\r\n        self.log_verbose('Sending value: %s:%s' % (key, val))\r\n\r\n    def read(self):\r\n        # init\r\n        self.resolver = dns.resolver.Resolver(configure=False)\r\n        self.resolver.lifetime = self.timeout\r\n        self.resolver.nameservers = [self.address]\r\n        #dig +short chaos txt *.bind. @address\r\n        for name_metric in ['insertions','evictions','misses','hits','auth']:\r\n            answer = self.resolver.query('%s.bind' % name_metric, 'TXT', 'CHAOS')\r\n            self.store(name_metric, str(answer.rrset[0])[1:-1])\r\n        #dig +short chaos txt servers.bind. @address\r\n        answer = self.resolver.query('servers.bind', 'TXT', 'CHAOS')\r\n        for uplink in str(answer.rrset[0]).split('\"'):\r\n            raw = uplink.split(\" \")\r\n            if isinstance(raw, list) and len(raw) == 3:\r\n                name = raw[0].replace('.','_')\r\n                queries = raw[1]\r\n                errors = raw[2]\r\n                self.store('upstream_%s_queries' % name, queries)\r\n                self.store('upstream_%s_errors' % name, errors)\r\n\r\n    def configure_callback(self, conf):\r\n        for node in conf.children:\r\n            vals = [str(v) for v in node.values]\r\n            if node.key == 'Verbose':\r\n                self.verbose_logging = (vals[0].lower() == 'true')\r\n            elif node.key == 'Interval':\r\n                self.interval = float(vals[0])\r\n            elif node.key == 'Address':\r\n                self.address = str(vals[0])\r\n            elif node.key == 'Timeout':\r\n                self.timeout = float(vals[0])\r\n            else:\r\n                raise ValueError('%s plugin: Unknown config key: %s' % (self.plugin_name, node.key))\r\n        collectd.register_read(self.read, self.interval)\r\n        self.log_verbose('configured with interval=%s' % self.interval)\r\n\r\n\r\napp_dns_masq = dns_masq()\r\ncollectd.register_config(app_dns_masq.configure_callback)\r\n```","collectorPluginList":"Python plugin, Write Graphite 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\"1\"\n","collectorPluginList":"influxdb","datasource":null,"privacy":"public","createdAt":"2019-09-14T01:54:31.000Z","updatedAt":"2019-09-14T02:00:40.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10862"},{"rel":"revisions","href":"/dashboards/10862/revisions"},{"rel":"revision","href":"/dashboards/10862/revisions/1"},{"rel":"download","href":"/dashboards/10862/revisions/1/download"},{"rel":"org","href":"/orgs/tppickles"},{"rel":"images","href":"/dashboards/10862/images"},{"rel":"thumbnails","href":"/dashboards/10862/thumbnails"}]},{"id":20966,"status":1,"statusCode":"active","orgId":851127,"orgSlug":"luzilla","orgName":"luzilla","slug":"dnsbl-exporter-dashboard","downloads":267,"revisionId":32566,"revision":1,"name":"DNSBL Exporter Dashboard","description":"A small dashboard for the dnsbl-exporter","readme":"Grafana dashboard to visualize checks from the dnsbl_exporter: https://github.com/Luzilla/dnsbl_exporter/\r\n\r\nGives you an overview which RBLs currently list your mail servers, or hopefully none. :-)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-28T14:09:45.000Z","updatedAt":"2024-04-28T14:12:33.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20966"},{"rel":"revisions","href":"/dashboards/20966/revisions"},{"rel":"revision","href":"/dashboards/20966/revisions/1"},{"rel":"download","href":"/dashboards/20966/revisions/1/download"},{"rel":"org","href":"/orgs/luzilla"},{"rel":"images","href":"/dashboards/20966/images"},{"rel":"thumbnails","href":"/dashboards/20966/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16630,"status":1,"statusCode":"active","orgId":573017,"orgSlug":"dmachard","orgName":"dmachard","slug":"dnscollector-dashboard-for-prometheus","downloads":674,"revisionId":34773,"revision":6,"name":"DNScollector - Dashboard for Prometheus","description":"","readme":"This dashboard enable to collect some metrics about your DNS server.\r\nBased on metrics exported by the https://github.com/dmachard/go-dnscollector.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-07-24T19:08:02.000Z","updatedAt":"2024-10-23T19:36:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16630"},{"rel":"revisions","href":"/dashboards/16630/revisions"},{"rel":"revision","href":"/dashboards/16630/revisions/6"},{"rel":"download","href":"/dashboards/16630/revisions/6/download"},{"rel":"org","href":"/orgs/dmachard"},{"rel":"images","href":"/dashboards/16630/images"},{"rel":"thumbnails","href":"/dashboards/16630/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15415,"status":1,"statusCode":"active","orgId":573017,"orgSlug":"dmachard","orgName":"dmachard","slug":"dnscollector-loki-v3","downloads":870,"revisionId":24091,"revision":2,"name":"DnsCollector 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                                                  , server, type\r\n\r\n/^/ +\r\n/time:[0-9]+\\s+/ +\r\n/host:(?P<host>\\S+)\\s+/ +\r\n/message:(?P<message>\\S+)\\s+/ +\r\n/type:(?P<type>\\S+)\\s+/ +\r\n/return:(?P<return>\\S+)\\s+/ +\r\n/cached:(?P<cached>[0-1])\\s+/ +\r\n/duration:(?P<duration>[0-9]+)\\s+/ +\r\n/server:(?P<server>\\S+)/ +\r\n/$/ {\r\n  queries_total++\r\n  queries[$host][$type][$return][$cached][$server]++\r\n\r\n  # Only consider non-cached results for histograms\r\n  $cached == 0 {\r\n     queries_duration_ms[$return][$server][$type] = $duration\r\n  }\r\n}\r\n```\r\n\r\n * Start `mtail` either via your preferred mean (See https://github.com/google/mtail/blob/master/docs/Deploying.md)\r\n * Point your prometheus installation to the `mtail` endpoint\r\n * Import this dashboard in your grafana 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Its goal in life is to route traffic to the best server, delivering top performance to legitimate users while shunting or blocking abusive traffic.","readme":"Shows all available metrics for PowerDNS dnsdist","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2023-02-06T08:34:16.000Z","updatedAt":"2023-02-06T08:40:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18044"},{"rel":"revisions","href":"/dashboards/18044/revisions"},{"rel":"revision","href":"/dashboards/18044/revisions/1"},{"rel":"download","href":"/dashboards/18044/revisions/1/download"},{"rel":"org","href":"/orgs/florianbeer"},{"rel":"images","href":"/dashboards/18044/images"},{"rel":"thumbnails","href":"/dashboards/18044/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":13692,"status":1,"statusCode":"active","orgId":453690,"orgSlug":"drhost1","orgName":"dochost","slug":"dnsdist-dashboard","downloads":2035,"revisionId":20634,"revision":3,"name":"dnsdist dashboard","description":"Prometheus Powerdns exporter metrics.","readme":"Built using native Prometheus exporter built-into the dnsdist code.\n\nAll you need to do is to enable the built-in web server (https://dnsdist.org/guides/webserver.html)\nSetup your Prometheus to scrape the endpoint, import the dashboard. set your Prometheus data source and you're good to go\n\nRev 3. now includes caching visibility","collectorType":"nodeExporter","collectorConfig":"I have added a combination of visualization from node exporter to add CPU, RAM, and DISK visibility in the same dashboard\nThis is not required to use any of the dnsdist metrics and is only added for my own preference and ease of use\n\nfor those who are not familiar with node exporter, I highly recommend if for all of your HOST/VM/Instance monitoring\nhttps://github.com/prometheus/node_exporter","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-07T14:41:04.000Z","updatedAt":"2021-03-16T09:58:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13692"},{"rel":"revisions","href":"/dashboards/13692/revisions"},{"rel":"revision","href":"/dashboards/13692/revisions/3"},{"rel":"download","href":"/dashboards/13692/revisions/3/download"},{"rel":"org","href":"/orgs/drhost1"},{"rel":"images","href":"/dashboards/13692/images"},{"rel":"thumbnails","href":"/dashboards/13692/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24951,"status":1,"statusCode":"active","orgId":1672203,"orgSlug":"mrpk1906","orgName":"mrpk1906","slug":"dnsdist-statistics-domain-view","downloads":17,"revisionId":40087,"revision":1,"name":"DNSdist Statistics [Domain View]","description":"DNSdist statistics from logs. 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docker run \\\n  --volume=/:/rootfs:ro \\\n  --volume=/var/run:/var/run:ro \\\n  --volume=/sys:/sys:ro \\\n  --volume=/var/lib/docker/:/var/lib/docker:ro \\\n  --volume=/dev/disk/:/dev/disk:ro \\\n  --publish=8080:8080 \\\n  --detach=true \\\n  --name=cadvisor \\\n  google/cadvisor\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-26T05:37:39.000Z","updatedAt":"2020-04-09T15:51:37.000Z","isEditor":false,"hasLogo":false,"reviewsCount":2,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/11277"},{"rel":"revisions","href":"/dashboards/11277/revisions"},{"rel":"revision","href":"/dashboards/11277/revisions/2"},{"rel":"download","href":"/dashboards/11277/revisions/2/download"},{"rel":"org","href":"/orgs/wanghy8166"},{"rel":"images","href":"/dashboards/11277/images"},{"rel":"thumbnails","href":"/dashboards/11277/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11502,"status":1,"statusCode":"active","orgId":331660,"orgSlug":"mateussouzaweb","orgName":"mateussouzaweb","slug":"docker","downloads":621,"revisionId":17098,"revision":2,"name":"Docker","description":"by 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host-alias","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-12T18:40:55.000Z","updatedAt":"2022-11-12T18:49:04.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17398"},{"rel":"revisions","href":"/dashboards/17398/revisions"},{"rel":"revision","href":"/dashboards/17398/revisions/1"},{"rel":"download","href":"/dashboards/17398/revisions/1/download"},{"rel":"org","href":"/orgs/waarlandit"},{"rel":"images","href":"/dashboards/17398/images"},{"rel":"thumbnails","href":"/dashboards/17398/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4170,"status":1,"statusCode":"active","orgId":109341,"orgSlug":"missrian","orgName":"missrian","slug":"docker-and-container-stats","downloads":3760,"revisionId":5628,"revision":1,"name":"Docker and Container Stats","description":"prometheus","readme":"需要对模板就行修改，在设置---templating 点击，修改label_values(up{job=\"container\"}, instance)，其中注意修改container，它是在prometheus里面的标签，cadvisor端口为8090\r\ndocker run \\\r\n  --volume=/:/rootfs:ro \\\r\n  --volume=/var/run:/var/run:rw \\\r\n  --volume=/sys:/sys:ro \\\r\n  --volume=/var/lib/docker/:/data/docker:ro \\\r\n  -p 8090:8080 \\\r\n  --detach=true \\\r\n  --name=cadvisor \\\r\n  google/cadvisor:latest \\\r\n    -storage_driver=influxdb  \\\r\n    -storage_driver_db=cadvisor\r\n\r\n在prometheus.yml文件文件添加；根据实际情况修改ip\r\n- job_name: 'container'\r\n    static_configs:\r\n    - targets: ['182.20.14.2:8090','182.20.15.3:8090','182.20.15.4:8090','182.20.15.5:8090']\r\n\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-12-29T02:54:44.000Z","updatedAt":"2017-12-29T04:27:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4170"},{"rel":"revisions","href":"/dashboards/4170/revisions"},{"rel":"revision","href":"/dashboards/4170/revisions/1"},{"rel":"download","href":"/dashboards/4170/revisions/1/download"},{"rel":"org","href":"/orgs/missrian"},{"rel":"images","href":"/dashboards/4170/images"},{"rel":"thumbnails","href":"/dashboards/4170/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10892,"status":1,"statusCode":"active","orgId":291392,"orgSlug":"mzpaidarmotlagh","orgName":"mzpaidarmotlagh","slug":"docker-and-container-stats","downloads":440,"revisionId":15216,"revision":1,"name":"Docker and Container Stats","description":"prometheus","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-09-20T12:44:06.000Z","updatedAt":"2019-09-20T12:44:45.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10892"},{"rel":"revisions","href":"/dashboards/10892/revisions"},{"rel":"revision","href":"/dashboards/10892/revisions/1"},{"rel":"download","href":"/dashboards/10892/revisions/1/download"},{"rel":"org","href":"/orgs/mzpaidarmotlagh"},{"rel":"images","href":"/dashboards/10892/images"},{"rel":"thumbnails","href":"/dashboards/10892/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":179,"status":1,"statusCode":"active","orgId":22958,"orgSlug":"idomyowntricks","orgName":"Brian Christner","slug":"docker-prometheus-monitoring","downloads":42560,"revisionId":9887,"revision":7,"name":"Docker and Host Monitoring w/ Prometheus","description":"Docker Monitoring Template","readme":"The dashboard is part of the [Docker Prometheus Quickstart Project](https://github.com/vegasbrianc/prometheus/) The project uses the latest versions of Prometheus, Grafana, cAdvisor, and node-exporter. Also, included in the project is automated provisioning of datasources & dashboards.\r\n\r\nIf your have any suggestions or would like to contribute please visit - [Docker Prometheus Quick Start Project](https://github.com/vegasbrianc/prometheus)\r\n\r\nRegards,\r\n\r\nBrian Christner","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-07-14T11:06:31.000Z","updatedAt":"2018-07-31T20:59:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/179"},{"rel":"revisions","href":"/dashboards/179/revisions"},{"rel":"revision","href":"/dashboards/179/revisions/7"},{"rel":"download","href":"/dashboards/179/revisions/7/download"},{"rel":"org","href":"/orgs/idomyowntricks"},{"rel":"images","href":"/dashboards/179/images"},{"rel":"thumbnails","href":"/dashboards/179/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10566,"status":1,"statusCode":"active","orgId":261981,"orgSlug":"ber860520","orgName":"Bernardo Martinez","slug":"docker-and-os-metrics","downloads":10003,"revisionId":14768,"revision":1,"name":"Docker and OS metrics ( cadvisor, node_exporter )","description":"Dashboard with details of the container metrics and host OS metrics.","readme":"This dashboard works with:\r\nnode_exporter = 0.17.0-rc.0\r\ncadvisor =  v0.33.1.11\r\nGrafana = 6.2.5","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-07-18T20:52:15.000Z","updatedAt":"2020-06-04T18:32:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":3.67,"links":[{"rel":"self","href":"/dashboards/10566"},{"rel":"revisions","href":"/dashboards/10566/revisions"},{"rel":"revision","href":"/dashboards/10566/revisions/1"},{"rel":"download","href":"/dashboards/10566/revisions/1/download"},{"rel":"org","href":"/orgs/ber860520"},{"rel":"images","href":"/dashboards/10566/images"},{"rel":"thumbnails","href":"/dashboards/10566/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":893,"status":1,"statusCode":"active","orgId":35996,"orgSlug":"moifort","orgName":"Thibaut Mottet","slug":"main","downloads":86984,"revisionId":1471,"revision":5,"name":"Docker and system monitoring","description":"A simple overview of the most important Docker host and container metrics. (cAdvisor/Prometheus)","readme":"# Docker + System dashboard\n\nDashboard compatible with Grafana 4\n\n## System metric\nThis dashboard display Docker and system metric, the aim it's to have all the metric on one dashboard. The first lines represents the system metric with gauge and text/graph (easy to visualize and minimalist). \n* Time up\n* Memory usage/swap\n* Disk usage\n* Load\n* Network\n* CPU usage\n* Disk I/O\n\nAlerts are set on disk usage, memory usage and load usage to warn when the metric are critics.\n\n## Docker metric\nThe second parts of the dashboard is Docker metric, more detailed using mostly graph.\n* CPU usage per container\n* Sent network per container\n* Received network per container\n* Memory usage/swap per container\n* Remaining memory for each container (if men_limit defined in docker-compose.yml)\n\n## Server configuration\nI use the docker-compose to set my monitoring: https://github.com/vegasbrianc/prometheus. My dashboard work with this configuration.\nService running:\n* docker\n* prometheus\n* node-exporter\n* alertmanager\n* cadvisor\n* grafana v4\n\n## Install with docker-compose.yml\n### `docker-compose.yml`\n```yml\nprometheus:\n    image: prom/prometheus:latest\n    container_name: monitoring_prometheus\n    restart: unless-stopped\n    volumes:\n      - ./data/prometheus/config:/etc/prometheus/\n      - ./data/prometheus/data:/prometheus\n    command:\n      - '-config.file=/etc/prometheus/prometheus.yml'\n      - '-storage.local.path=/prometheus'\n      - '-alertmanager.url=http://alertmanager:9093'\n    expose:\n      - 9090\n    ports:\n      - 9090:9090\n    links:\n      - cadvisor:cadvisor\n      - node-exporter:node-exporter\n\n  node-exporter:\n    image: prom/node-exporter:latest\n    container_name: monitoring_node_exporter\n    restart: unless-stopped\n    expose:\n      - 9100\n\n  cadvisor:\n    image: google/cadvisor:latest\n    container_name: monitoring_cadvisor\n    restart: unless-stopped\n    volumes:\n      - /:/rootfs:ro\n      - /var/run:/var/run:rw\n      - /sys:/sys:ro\n      - /var/lib/docker/:/var/lib/docker:ro\n    expose:\n      - 8080\n  \n  grafana:\n    image: grafana/grafana:latest\n    container_name: monitoring_grafana\n    restart: unless-stopped\n    links:\n      - prometheus:prometheus\n    volumes:\n      - ./data/grafana:/var/lib/grafana\n    environment:\n      - GF_SECURITY_ADMIN_PASSWORD=MYPASSWORT\n      - GF_USERS_ALLOW_SIGN_UP=false\n      - GF_SERVER_DOMAIN=myrul.com\n      - GF_SMTP_ENABLED=true\n      - GF_SMTP_HOST=smtp.gmail.com:587\n      - GF_SMTP_USER=myadrress@gmail.com\n      - GF_SMTP_PASSWORD=mypassword\n      - GF_SMTP_FROM_ADDRESS=myaddress@gmail.com\n```\n\n### `prometheus.yml`\n```bash\n# my global config\nglobal:\n  scrape_interval:     120s # By default, scrape targets every 15 seconds.\n  evaluation_interval: 120s # By default, scrape targets every 15 seconds.\n  # scrape_timeout is set to the global default (10s).\n\n  # Attach these labels to any time series or alerts when communicating with\n  # external systems (federation, remote storage, Alertmanager).\n  external_labels:\n      monitor: 'my-project'\n\n# Load and evaluate rules in this file every 'evaluation_interval' seconds.\nrule_files:\n  # - \"alert.rules\"\n  # - \"first.rules\"\n  # - \"second.rules\"\n\n# A scrape configuration containing exactly one endpoint to scrape:\n# Here it's Prometheus itself.\nscrape_configs:\n  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.\n  - job_name: 'prometheus'\n\n    # Override the global default and scrape targets from this job every 5 seconds.\n    scrape_interval: 120s\n\n    # metrics_path defaults to '/metrics'\n    # scheme defaults to 'http'.\n\n    static_configs:\n         - targets: ['localhost:9090','cadvisor:8080','node-exporter:9100', 'nginx-exporter:9113']\n```\n\n## Start your docker\nRun `docker-compose up -d`\n","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-11-20T02:08:15.000Z","updatedAt":"2021-02-06T21:30:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":7,"reviewsAvgRating":3.57,"links":[{"rel":"self","href":"/dashboards/893"},{"rel":"revisions","href":"/dashboards/893/revisions"},{"rel":"revision","href":"/dashboards/893/revisions/5"},{"rel":"download","href":"/dashboards/893/revisions/5/download"},{"rel":"org","href":"/orgs/moifort"},{"rel":"images","href":"/dashboards/893/images"},{"rel":"thumbnails","href":"/dashboards/893/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4271,"status":1,"statusCode":"active","orgId":111014,"orgSlug":"paulfantom","orgName":"paulfantom","slug":"docker-and-system-monitoring","downloads":14119,"revisionId":7418,"revision":4,"name":"Docker and system monitoring","description":"A simple overview of the most important Docker host and container metrics. (cAdvisor/Prometheus)","readme":"This is a variation of [Docker and system monitoring](https://grafana.com/dashboards/893) by [Thibaut Mottet](https://grafana.com/orgs/moifort). It has a different approach to `Nodes` and `Container Groups`.\r\n`Node` is a first class selector and `Container Group` a second class. What it means is you can select group of docker containers from only one host (this isn't possible in original dashboard). One requirement is to start a docker containers with a label named `namespace`.\r\n\r\nYou can see this dashboard in action on [demo.cloudalchemy.org](http://demo.cloudalchemy.org:3000/dashboard/db/docker-and-system-monitoring)","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-01-06T10:42:24.000Z","updatedAt":"2018-04-11T11:59:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4271"},{"rel":"revisions","href":"/dashboards/4271/revisions"},{"rel":"revision","href":"/dashboards/4271/revisions/4"},{"rel":"download","href":"/dashboards/4271/revisions/4/download"},{"rel":"org","href":"/orgs/paulfantom"},{"rel":"images","href":"/dashboards/4271/images"},{"rel":"thumbnails","href":"/dashboards/4271/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9633,"status":1,"statusCode":"active","orgId":228844,"orgSlug":"lasdaybg","orgName":"lasdaybg","slug":"docker-and-system-monitoring","downloads":834,"revisionId":15134,"revision":3,"name":"Docker and system monitoring","description":"A simple overview of the most important Docker host and container metrics. (cAdvisor/Prometheus)","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-01-14T01:33:06.000Z","updatedAt":"2019-09-06T09:52:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9633"},{"rel":"revisions","href":"/dashboards/9633/revisions"},{"rel":"revision","href":"/dashboards/9633/revisions/3"},{"rel":"download","href":"/dashboards/9633/revisions/3/download"},{"rel":"org","href":"/orgs/lasdaybg"},{"rel":"images","href":"/dashboards/9633/images"},{"rel":"thumbnails","href":"/dashboards/9633/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13496,"status":1,"statusCode":"active","orgId":442514,"orgSlug":"kulab45","orgName":"kulab45","slug":"docker-and-system-monitoring","downloads":3616,"revisionId":19709,"revision":1,"name":"Docker and system monitoring","description":"A simple overview of the most important Docker host and container metrics. (cAdvisor/Node Exporter/Prometheus) updated from ID 893 by Thibaut Mottet","readme":"# **Docker + System dashboard**\r\n\r\nThis dashboard fork from [ID:893](https://grafana.com/grafana/dashboards/893) and modify for compatible with Grafana version 7.3, cAdvisor version 0.34, node exporter version 1.0.1 and Prometheus version 2.23\r\n\r\n## **System metric**\r\n\r\nThis dashboard display Docker and system metric, the aim it's to have all the metric on one dashboard. The first lines represents the system metric with gauge and text/graph (easy to visualize and minimalist).\r\n- Host up time\r\n- Memory/swap usage\r\n- Disk usage\r\n- Load average\r\n- Network I/O\r\n- CPU usage\r\n- Disk I/O\r\n\r\nSome alerts are disable due to new version of Gragana not allow to create alert when template variables are used.\r\n\r\n## **Docker metric**\r\n\r\nThe second parts of the dashboard is Docker metric, more detailed using mostly graph.\r\n- CPU usage per container\r\n- Sent network per container\r\n- Received network per container\r\n- Memory usage/swap per container\r\n- Remaining memory for each container (if men_limit defined in docker-compose.yml)\r\n\r\n## Server configuration\r\n\r\nI use the docker-compose to set my monitoring: https://github.com/vegasbrianc/prometheus. My dashboard work with this configuration. Service running:\r\n\r\n- docker: version 19.03\r\n- prometheus: version 2.23.0\r\n- node_exporter: version 1.0.1\r\n- cAdvisor: version v0.34.0\r\n- grafana: version 7.3.4 \r\n\r\n## Install with docker-compose.yml\r\n\r\n`docker-compose.yml`\r\n```\r\nprometheus:\r\n    image: prom/prometheus:latest\r\n    container_name: monitoring_prometheus\r\n    restart: unless-stopped\r\n    volumes:\r\n      - ./data/prometheus/config:/etc/prometheus/\r\n      - ./data/prometheus/data:/prometheus\r\n    command:\r\n      - '-config.file=/etc/prometheus/prometheus.yml'\r\n      - '-storage.local.path=/prometheus'\r\n      - '-alertmanager.url=http://alertmanager:9093'\r\n    expose:\r\n      - 9090\r\n    ports:\r\n      - 9090:9090\r\n    links:\r\n      - cadvisor:cadvisor\r\n      - node-exporter:node-exporter\r\n\r\n  node-exporter:\r\n    image: prom/node-exporter:latest\r\n    container_name: monitoring_node_exporter\r\n    restart: unless-stopped\r\n    expose:\r\n      - 9100\r\n\r\n  cadvisor:\r\n    image: google/cadvisor:latest\r\n    container_name: monitoring_cadvisor\r\n    restart: unless-stopped\r\n    volumes:\r\n      - /:/rootfs:ro\r\n      - /var/run:/var/run:rw\r\n      - /sys:/sys:ro\r\n      - /var/lib/docker/:/var/lib/docker:ro\r\n    expose:\r\n      - 8080\r\n  \r\n  grafana:\r\n    image: grafana/grafana:latest\r\n    container_name: monitoring_grafana\r\n    restart: unless-stopped\r\n    links:\r\n      - prometheus:prometheus\r\n    volumes:\r\n      - ./data/grafana:/var/lib/grafana\r\n    environment:\r\n      - GF_SECURITY_ADMIN_PASSWORD=MYPASSWORT\r\n      - GF_USERS_ALLOW_SIGN_UP=false\r\n      - GF_SERVER_DOMAIN=myrul.com\r\n      - GF_SMTP_ENABLED=true\r\n      - GF_SMTP_HOST=smtp.gmail.com:587\r\n      - GF_SMTP_USER=myadrress@gmail.com\r\n      - GF_SMTP_PASSWORD=mypassword\r\n      - GF_SMTP_FROM_ADDRESS=myaddress@gmail.com\r\n```\r\n`prometheus.yml`\r\n```\r\n# my global config\r\nglobal:\r\n  scrape_interval:     120s # By default, scrape targets every 15 seconds.\r\n  evaluation_interval: 120s # By default, scrape targets every 15 seconds.\r\n  # scrape_timeout is set to the global default (10s).\r\n\r\n  # Attach these labels to any time series or alerts when communicating with\r\n  # external systems (federation, remote storage, Alertmanager).\r\n  external_labels:\r\n      monitor: 'my-project'\r\n\r\n# Load and evaluate rules in this file every 'evaluation_interval' seconds.\r\nrule_files:\r\n  # - \"alert.rules\"\r\n  # - \"first.rules\"\r\n  # - \"second.rules\"\r\n\r\n# A scrape configuration containing exactly one endpoint to scrape:\r\n# Here it's Prometheus itself.\r\nscrape_configs:\r\n  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.\r\n  - job_name: 'prometheus'\r\n\r\n    # Override the global default and scrape targets from this job every 5 seconds.\r\n    scrape_interval: 120s\r\n\r\n    # metrics_path defaults to '/metrics'\r\n    # scheme defaults to 'http'.\r\n\r\n    static_configs:\r\n         - targets: ['localhost:9090','cadvisor:8080','node-exporter:9100', 'nginx-exporter:9113']\r\n```\r\n\r\n## Start your docker\r\nRun `docker-compose up -d`","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-12-02T09:46:07.000Z","updatedAt":"2020-12-03T06:59:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":1,"links":[{"rel":"self","href":"/dashboards/13496"},{"rel":"revisions","href":"/dashboards/13496/revisions"},{"rel":"revision","href":"/dashboards/13496/revisions/1"},{"rel":"download","href":"/dashboards/13496/revisions/1/download"},{"rel":"org","href":"/orgs/kulab45"},{"rel":"images","href":"/dashboards/13496/images"},{"rel":"thumbnails","href":"/dashboards/13496/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7886,"status":1,"statusCode":"active","orgId":187481,"orgSlug":"superjim","orgName":"Sergey Gurin","slug":"docker-and-system-monitoring","downloads":496,"revisionId":10733,"revision":1,"name":"Docker and system monitoring","description":"A simple overview of the most important Docker host and container metrics. (cAdvisor/Prometheus)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-09-07T20:32:22.000Z","updatedAt":"2018-09-07T20:33:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7886"},{"rel":"revisions","href":"/dashboards/7886/revisions"},{"rel":"revision","href":"/dashboards/7886/revisions/1"},{"rel":"download","href":"/dashboards/7886/revisions/1/download"},{"rel":"org","href":"/orgs/superjim"},{"rel":"images","href":"/dashboards/7886/images"},{"rel":"thumbnails","href":"/dashboards/7886/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15959,"status":1,"statusCode":"active","orgId":409073,"orgSlug":"goodbaikin","orgName":"goodbaikin","slug":"docker-and-system-monitoring","downloads":489,"revisionId":24209,"revision":1,"name":"Docker and system monitoring","description":"A simple overview of the most important Docker host and container metrics. (cAdvisor/Prometheus)","readme":"Fixed version of [https://grafana.com/grafana/dashboards/893](https://grafana.com/grafana/dashboards/893) written for docker-compose. \r\n\r\nYou can filter a specific docker-compose stack by \"Containers group\" dropdown tab.\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-03-21T13:55:18.000Z","updatedAt":"2022-03-21T14:03:14.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15959"},{"rel":"revisions","href":"/dashboards/15959/revisions"},{"rel":"revision","href":"/dashboards/15959/revisions/1"},{"rel":"download","href":"/dashboards/15959/revisions/1/download"},{"rel":"org","href":"/orgs/goodbaikin"},{"rel":"images","href":"/dashboards/15959/images"},{"rel":"thumbnails","href":"/dashboards/15959/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16046,"status":1,"statusCode":"active","orgId":409073,"orgSlug":"goodbaikin","orgName":"goodbaikin","slug":"docker-and-system-monitoring","downloads":343,"revisionId":24348,"revision":2,"name":"Docker and system monitoring","description":"A simple overview of the most important Docker host and container metrics. (cAdvisor/Prometheus)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-04-04T12:24:29.000Z","updatedAt":"2022-04-04T14:49:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16046"},{"rel":"revisions","href":"/dashboards/16046/revisions"},{"rel":"revision","href":"/dashboards/16046/revisions/2"},{"rel":"download","href":"/dashboards/16046/revisions/2/download"},{"rel":"org","href":"/orgs/goodbaikin"},{"rel":"images","href":"/dashboards/16046/images"},{"rel":"thumbnails","href":"/dashboards/16046/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16310,"status":1,"statusCode":"active","orgId":650498,"orgSlug":"heavyroad8455","orgName":"heavyroad8455","slug":"docker-and-system-monitoring","downloads":2363,"revisionId":24828,"revision":1,"name":"Docker and system monitoring (nodeexporter v1.3.1)","description":"A simple overview of the most important Docker host and container metrics. (cAdvisor/Prometheus)","readme":"This is a fork of https://grafana.com/grafana/dashboards/893 with some panels updated for to account for changes in newer versions of prom/node-exporter.\r\n\r\n# Docker + System dashboard\r\n\r\nDashboard compatible with Grafana 4\r\n\r\n## System metric\r\n\r\nThis dashboard display Docker and system metric, the aim it's to have all the metric on one dashboard. The first lines represents the system metric with gauge and text/graph (easy to visualize and minimalist).\r\n\r\n    Time up\r\n    Memory usage/swap\r\n    Disk usage\r\n    Load\r\n    Network\r\n    CPU usage\r\n    Disk I/O\r\n\r\nAlerts are set on disk usage, memory usage and load usage to warn when the metric are critics.\r\n\r\n## Docker metric\r\n\r\nThe second parts of the dashboard is Docker metric, more detailed using mostly graph.\r\n\r\n    CPU usage per container\r\n    Sent network per container\r\n    Received network per container\r\n    Memory usage/swap per container\r\n    Remaining memory for each container (if men_limit defined in docker-compose.yml)\r\n\r\n## Server configuration\r\n\r\nI use the docker-compose to set my monitoring: https://github.com/vegasbrianc/prometheus. My dashboard work with this configuration. Service running:\r\n\r\n    docker\r\n    prometheus\r\n    node-exporter\r\n    alertmanager\r\n    cadvisor\r\n    grafana\r\n\r\n## Install with docker-compose.yml\r\n\r\ndocker-compose.yml\r\n\r\n```yml\r\nprometheus:\r\n    image: prom/prometheus:latest\r\n    container_name: monitoring_prometheus\r\n    restart: unless-stopped\r\n    volumes:\r\n      - ./data/prometheus/config:/etc/prometheus/\r\n      - ./data/prometheus/data:/prometheus\r\n    command:\r\n      - '-config.file=/etc/prometheus/prometheus.yml'\r\n      - '-storage.local.path=/prometheus'\r\n      - '-alertmanager.url=http://alertmanager:9093'\r\n    expose:\r\n      - 9090\r\n    ports:\r\n      - 9090:9090\r\n    links:\r\n      - cadvisor:cadvisor\r\n      - node-exporter:node-exporter\r\n\r\n  node-exporter:\r\n    image: prom/node-exporter:latest\r\n    container_name: monitoring_node_exporter\r\n    restart: unless-stopped\r\n    expose:\r\n      - 9100\r\n\r\n  cadvisor:\r\n    image: google/cadvisor:latest\r\n    container_name: monitoring_cadvisor\r\n    restart: unless-stopped\r\n    volumes:\r\n      - /:/rootfs:ro\r\n      - /var/run:/var/run:rw\r\n      - /sys:/sys:ro\r\n      - /var/lib/docker/:/var/lib/docker:ro\r\n    expose:\r\n      - 8080\r\n  \r\n  grafana:\r\n    image: grafana/grafana:latest\r\n    container_name: monitoring_grafana\r\n    restart: unless-stopped\r\n    links:\r\n      - prometheus:prometheus\r\n    volumes:\r\n      - ./data/grafana:/var/lib/grafana\r\n    environment:\r\n      - GF_SECURITY_ADMIN_PASSWORD=MYPASSWORT\r\n      - GF_USERS_ALLOW_SIGN_UP=false\r\n      - GF_SERVER_DOMAIN=myrul.com\r\n      - GF_SMTP_ENABLED=true\r\n      - GF_SMTP_HOST=smtp.gmail.com:587\r\n      - GF_SMTP_USER=myadrress@gmail.com\r\n      - GF_SMTP_PASSWORD=mypassword\r\n      - GF_SMTP_FROM_ADDRESS=myaddress@gmail.com\r\n```\r\n\r\nprometheus.yml\r\n\r\n```yml\r\n# my global config\r\nglobal:\r\n  scrape_interval:     120s # By default, scrape targets every 15 seconds.\r\n  evaluation_interval: 120s # By default, scrape targets every 15 seconds.\r\n  # scrape_timeout is set to the global default (10s).\r\n\r\n  # Attach these labels to any time series or alerts when communicating with\r\n  # external systems (federation, remote storage, Alertmanager).\r\n  external_labels:\r\n      monitor: 'my-project'\r\n\r\n# Load and evaluate rules in this file every 'evaluation_interval' seconds.\r\nrule_files:\r\n  # - \"alert.rules\"\r\n  # - \"first.rules\"\r\n  # - \"second.rules\"\r\n\r\n# A scrape configuration containing exactly one endpoint to scrape:\r\n# Here it's Prometheus itself.\r\nscrape_configs:\r\n  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.\r\n  - job_name: 'prometheus'\r\n\r\n    # Override the global default and scrape targets from this job every 5 seconds.\r\n    scrape_interval: 120s\r\n\r\n    # metrics_path defaults to '/metrics'\r\n    # scheme defaults to 'http'.\r\n\r\n    static_configs:\r\n         - targets: ['localhost:9090','cadvisor:8080','node-exporter:9100', 'nginx-exporter:9113']\r\n```\r\n\r\nStart your docker\r\n\r\n```\r\nRun docker-compose up -d\r\n```\r\n","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-05-20T20:55:43.000Z","updatedAt":"2022-05-20T21:07:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/16310"},{"rel":"revisions","href":"/dashboards/16310/revisions"},{"rel":"revision","href":"/dashboards/16310/revisions/1"},{"rel":"download","href":"/dashboards/16310/revisions/1/download"},{"rel":"org","href":"/orgs/heavyroad8455"},{"rel":"images","href":"/dashboards/16310/images"},{"rel":"thumbnails","href":"/dashboards/16310/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10023,"status":1,"statusCode":"active","orgId":245496,"orgSlug":"dchavarriac","orgName":"Daniel Chavarría","slug":"docker-and-system-monitoring-dchavarriac","downloads":478,"revisionId":14019,"revision":1,"name":"Docker and system monitoring dchavarriac","description":"A simple overview of the most important Docker host and container metrics. 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(cAdvisor/Prometheus)","readme":"Docker 版 cadvisor，版本号：v0.33.0","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-22T01:11:37.000Z","updatedAt":"2020-01-22T01:22:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11600"},{"rel":"revisions","href":"/dashboards/11600/revisions"},{"rel":"revision","href":"/dashboards/11600/revisions/1"},{"rel":"download","href":"/dashboards/11600/revisions/1/download"},{"rel":"org","href":"/orgs/xzxiaoshan"},{"rel":"images","href":"/dashboards/11600/images"},{"rel":"thumbnails","href":"/dashboards/11600/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10619,"status":1,"statusCode":"active","orgId":268679,"orgSlug":"dtuygulamayonetimi","orgName":"dtuygulamayonetimi","slug":"docker-host-container-overview","downloads":6093765,"revisionId":14833,"revision":1,"name":"Docker Container & Host Metrics","description":"A simple overview of the most important Docker host and container metrics. (cAdvisor/Prometheus)","readme":"Container & Host metrics collected by CAdvisor & Node Exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-07-26T10:34:08.000Z","updatedAt":"2019-07-26T10:35:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":1.5,"links":[{"rel":"self","href":"/dashboards/10619"},{"rel":"revisions","href":"/dashboards/10619/revisions"},{"rel":"revision","href":"/dashboards/10619/revisions/1"},{"rel":"download","href":"/dashboards/10619/revisions/1/download"},{"rel":"org","href":"/orgs/dtuygulamayonetimi"},{"rel":"images","href":"/dashboards/10619/images"},{"rel":"thumbnails","href":"/dashboards/10619/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24342,"status":1,"statusCode":"active","orgId":1581018,"orgSlug":"oalhenawy","orgName":"oalhenawy","slug":"docker-container-host-metrics","downloads":70,"revisionId":38931,"revision":1,"name":"Docker Container & Host Metrics","description":"Docker host and container metrics (cAdvisor/Prometheus).","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-11-05T20:00:42.000Z","updatedAt":"2025-11-05T21:24:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24342"},{"rel":"revisions","href":"/dashboards/24342/revisions"},{"rel":"revision","href":"/dashboards/24342/revisions/1"},{"rel":"download","href":"/dashboards/24342/revisions/1/download"},{"rel":"org","href":"/orgs/oalhenawy"},{"rel":"images","href":"/dashboards/24342/images"},{"rel":"thumbnails","href":"/dashboards/24342/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16314,"status":1,"statusCode":"active","orgId":648803,"orgSlug":"noise131","orgName":"noise131","slug":"docker-container-os-node-node-exporter-cadvisor","downloads":1729,"revisionId":28730,"revision":3,"name":"docker container & OS node(node_exporter, cadvisor)","description":"中文 docker 容器 cadvisor 和主机指标面板","readme":"面板可以同时监控 cadvisor 和 node_exporter 指标，如需将 cadvisor 与 node_exporter 指标关联，需要将 cadvisor 和 node_exporter 的 instance 标签设置为相同的值 ( 例如主机名、ip地址等 )","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-05-22T05:39:42.000Z","updatedAt":"2023-05-12T02:54:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/16314"},{"rel":"revisions","href":"/dashboards/16314/revisions"},{"rel":"revision","href":"/dashboards/16314/revisions/3"},{"rel":"download","href":"/dashboards/16314/revisions/3/download"},{"rel":"org","href":"/orgs/noise131"},{"rel":"images","href":"/dashboards/16314/images"},{"rel":"thumbnails","href":"/dashboards/16314/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15331,"status":1,"statusCode":"active","orgId":530862,"orgSlug":"kristiankanchev","orgName":"kristiankanchev","slug":"docker-container-dashboard","downloads":2184,"revisionId":25297,"revision":7,"name":"Docker Container Dashboard","description":"Dashboard with details of the container metrics and host OS metrics.","readme":"Improved section of the original dashboard.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-12-01T13:51:58.000Z","updatedAt":"2022-07-12T14:16:06.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15331"},{"rel":"revisions","href":"/dashboards/15331/revisions"},{"rel":"revision","href":"/dashboards/15331/revisions/7"},{"rel":"download","href":"/dashboards/15331/revisions/7/download"},{"rel":"org","href":"/orgs/kristiankanchev"},{"rel":"images","href":"/dashboards/15331/images"},{"rel":"thumbnails","href":"/dashboards/15331/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25012,"status":1,"statusCode":"active","orgId":1700415,"orgSlug":"davidcockson","orgName":"davidcockson","slug":"pickles-container-overview-v2-telegraf","downloads":67,"revisionId":40214,"revision":1,"name":"Docker Container Monitoring — Telegraf + Prometheus (no cAdvisor)","description":"A homelab-focused Docker container dashboard for setups using Telegraf's Docker socket input plugin with Prometheus output — no cAdvisor required. Built for environments where cAdvisor fails due to cgroup v2 incompatibility or non-standard Docker data roots.\r\nPanels: host CPU/RAM/disk gauges (via node_exporter), per-container memory bar gauge (deduplicated), CPU % time series, network RX/TX, and a colour-coded summary table sorted by memory usage.\r\nTested on Proxmox + Docker Compose with Telegraf → prometheus_client → Prometheus → Grafana.","readme":"## Requirements\r\n\r\n- Telegraf with `inputs.docker` (Docker socket) and `outputs.prometheus_client`\r\n- Prometheus scraping Telegraf's metrics endpoint\r\n- node_exporter running on the host, scraped by Prometheus\r\n- Grafana with Prometheus as a data source\r\n\r\n## Why no cAdvisor?\r\n\r\ncAdvisor fails silently on setups with cgroup v2 and non-standard \r\nDocker data roots. This dashboard uses Telegraf's Docker input plugin \r\nvia the Docker socket instead, which works reliably in those environments.\r\n\r\n## Metrics used\r\n\r\n- `docker_container_mem_usage` — container memory\r\n- `docker_container_cpu_usage_percent` — container CPU\r\n- `docker_container_net_rx_bytes` / `docker_container_net_tx_bytes` — network\r\n- `node_cpu_seconds_total` — host CPU\r\n- `node_memory_MemTotal_bytes` / `node_memory_MemAvailable_bytes` — host RAM\r\n- `node_filesystem_avail_bytes` — host disk\r\n- `docker_n_containers_running` / `docker_n_containers_stopped` — container counts","collectorType":"Telegraf","collectorConfig":"[[inputs.docker]]\r\n  endpoint = \"unix:///var/run/docker.sock\"\r\n  gather_services = false\r\n  container_names = []\r\n  source_tag = false\r\n  container_name_include = []\r\n  container_name_exclude = []\r\n  timeout = \"5s\"\r\n  perdevice = true\r\n  total = false\r\n\r\n[[outputs.prometheus_client]]\r\n  listen = \":9273\"\r\n  metric_version = 2","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-03-15T23:32:35.000Z","updatedAt":"2026-03-16T18:41:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25012"},{"rel":"revisions","href":"/dashboards/25012/revisions"},{"rel":"revision","href":"/dashboards/25012/revisions/1"},{"rel":"download","href":"/dashboards/25012/revisions/1/download"},{"rel":"org","href":"/orgs/davidcockson"},{"rel":"images","href":"/dashboards/25012/images"},{"rel":"thumbnails","href":"/dashboards/25012/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13331,"status":1,"statusCode":"active","orgId":432899,"orgSlug":"josroseboom","orgName":"josroseboom","slug":"docker-stats","downloads":699,"revisionId":19371,"revision":1,"name":"Docker container stats","description":"Dashboard for the docker container stats (result of command 'docker stats') exported by 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docker container stats (result of command 'docker stats') exported by https://github.com/wywywywy/docker_stats_exporter","readme":"An updated version of the #13331 dashboard","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-07-28T10:33:16.000Z","updatedAt":"2025-07-28T10:43:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23800"},{"rel":"revisions","href":"/dashboards/23800/revisions"},{"rel":"revision","href":"/dashboards/23800/revisions/1"},{"rel":"download","href":"/dashboards/23800/revisions/1/download"},{"rel":"org","href":"/orgs/dns2utf8"},{"rel":"images","href":"/dashboards/23800/images"},{"rel":"thumbnails","href":"/dashboards/23800/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21110,"status":1,"statusCode":"active","orgId":1130005,"orgSlug":"qanazvet","orgName":"qanazvet","slug":"docker-container-cadvisor-host-metrics-dashboard","downloads":380,"revisionId":32847,"revision":1,"name":"Docker Container(cadvisor) & Host Metrics Dashboard(中文)","description":"docker 容器和主机指标面板 (中文)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-05-22T11:49:49.000Z","updatedAt":"2024-06-18T03:01:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21110"},{"rel":"revisions","href":"/dashboards/21110/revisions"},{"rel":"revision","href":"/dashboards/21110/revisions/1"},{"rel":"download","href":"/dashboards/21110/revisions/1/download"},{"rel":"org","href":"/orgs/qanazvet"},{"rel":"images","href":"/dashboards/21110/images"},{"rel":"thumbnails","href":"/dashboards/21110/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14971,"status":1,"statusCode":"active","orgId":539119,"orgSlug":"caraconan","orgName":"caraconan","slug":"docker-containers","downloads":540,"revisionId":22351,"revision":1,"name":"Docker Containers","description":"Containers metrics","readme":"Collect docker container statistics based on 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daemon metrics","description":"Docker daemon (engine) metrics","readme":"# Collect Docker metrics with Prometheus\r\nCurrently, you can only monitor Docker itself. You can't currently monitor your application using the Docker target.\r\n## Configure the daemon\r\nTo configure the Docker daemon as a Prometheus target, you need to specify the metrics-address in the daemon.json configuration file. This daemon expects the file to be located at one of the following locations by default. If the file doesn't exist, create it.\r\n\r\n- Linux: /etc/docker/daemon.json\r\n- Windows Server: C:\\ProgramData\\docker\\config\\daemon.json\r\n- Docker Desktop: Open the Docker Desktop settings and select Docker Engine to edit the file.\r\nAdd the following configuration:\r\n\r\n```json\r\n{\r\n  \"metrics-addr\": \"127.0.0.1:9323\"\r\n}\r\n```\r\nSave the file, or in the case of Docker Desktop for Mac or Docker Desktop for Windows, save the configuration. Restart Docker.\r\n\r\nDocker now exposes Prometheus-compatible metrics on port 9323 on the loopback interface.\r\n[arsalanse.ir](https://arsalanse.ir)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-05-07T14:21:38.000Z","updatedAt":"2024-05-19T05:13:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21040"},{"rel":"revisions","href":"/dashboards/21040/revisions"},{"rel":"revision","href":"/dashboards/21040/revisions/1"},{"rel":"download","href":"/dashboards/21040/revisions/1/download"},{"rel":"org","href":"/orgs/arsalanse"},{"rel":"images","href":"/dashboards/21040/images"},{"rel":"thumbnails","href":"/dashboards/21040/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10585,"status":1,"statusCode":"active","orgId":130158,"orgSlug":"ichasco","orgName":"ichasco","slug":"docker-dashboard","downloads":8634,"revisionId":14792,"revision":1,"name":"Docker Dashboard","description":"Docker Metrics with influx and Telegraf","readme":"In Docker-compose or Docker must have the next label to group each other:\r\n\r\n```\r\nlabels:\r\n      - \"docker.group=<some_name>\"\r\n```","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.docker]]\r\n  endpoint = \"unix:///var/run/docker.sock\"\r\n  \r\n  gather_services = false\r\n\r\n  container_name_include = []\r\n  container_name_exclude = []\r\n\r\n  timeout = \"5s\"\r\n\r\n  docker_label_include = []\r\n  docker_label_exclude = []\r\n\r\n  perdevice = true\r\n\r\n  total = false\r\n```\r\n","collectorPluginList":"docker","datasource":"InfluxDB","privacy":"public","createdAt":"2019-07-22T19:08:41.000Z","updatedAt":"2019-07-22T19:12:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":13,"reviewsAvgRating":4.15,"links":[{"rel":"self","href":"/dashboards/10585"},{"rel":"revisions","href":"/dashboards/10585/revisions"},{"rel":"revision","href":"/dashboards/10585/revisions/1"},{"rel":"download","href":"/dashboards/10585/revisions/1/download"},{"rel":"org","href":"/orgs/ichasco"},{"rel":"images","href":"/dashboards/10585/images"},{"rel":"thumbnails","href":"/dashboards/10585/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24151,"status":1,"statusCode":"active","orgId":1532508,"orgSlug":"devilaarun","orgName":"devilaarun","slug":"docker-dashboard","downloads":223,"revisionId":38511,"revision":1,"name":"Docker Dashboard","description":"Docker Metrics with influx and Telegraf","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-09-23T15:45:45.000Z","updatedAt":"2025-09-23T15:47:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24151"},{"rel":"revisions","href":"/dashboards/24151/revisions"},{"rel":"revision","href":"/dashboards/24151/revisions/1"},{"rel":"download","href":"/dashboards/24151/revisions/1/download"},{"rel":"org","href":"/orgs/devilaarun"},{"rel":"images","href":"/dashboards/24151/images"},{"rel":"thumbnails","href":"/dashboards/24151/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23727,"status":1,"statusCode":"active","orgId":1151914,"orgSlug":"kenzzo50","orgName":"kenzzo50","slug":"docker-dashboard","downloads":184,"revisionId":37747,"revision":1,"name":"Docker Dashboard","description":"Docker Metrics with influx and 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about some metrics provided by the docker daemon.\r\n\r\nIn docker 1.13 you need to activate explictly the metrics endpoint adding this parameter to the daemon: `metrics-addr=0.0.0.0:4999` and activate the experimental features.\r\n\r\nMore about how to use this dashboard [here](https://medium.com/@basilio.vera/docker-swarm-metrics-in-prometheus-e02a6a5745a#.6nzvnljvm)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-12-27T16:15:47.000Z","updatedAt":"2017-07-03T15:34:04.000Z","isEditor":false,"hasLogo":false,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/1229"},{"rel":"revisions","href":"/dashboards/1229/revisions"},{"rel":"revision","href":"/dashboards/1229/revisions/3"},{"rel":"download","href":"/dashboards/1229/revisions/3/download"},{"rel":"org","href":"/orgs/basi"},{"rel":"images","href":"/dashboards/1229/images"},{"rel":"thumbnails","href":"/dashboards/1229/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12792,"status":1,"statusCode":"active","orgId":406808,"orgSlug":"snukone","orgName":"snukone","slug":"docker-enviroment-monitoring","downloads":672,"revisionId":18596,"revision":2,"name":"Docker Environment Monitoring","description":"Docker Environment Monitoring","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-08-07T08:55:58.000Z","updatedAt":"2020-08-21T13:08:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12792"},{"rel":"revisions","href":"/dashboards/12792/revisions"},{"rel":"revision","href":"/dashboards/12792/revisions/2"},{"rel":"download","href":"/dashboards/12792/revisions/2/download"},{"rel":"org","href":"/orgs/snukone"},{"rel":"images","href":"/dashboards/12792/images"},{"rel":"thumbnails","href":"/dashboards/12792/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23848,"status":1,"statusCode":"active","orgId":1461821,"orgSlug":"lifailon","orgName":"lifailon","slug":"docker-exporter-logporter","downloads":442,"revisionId":37986,"revision":1,"name":"Docker Exporter (logporter)","description":"A simple and lightweight alternative to cAdvisor for getting all basic metrics from Docker containers. Source code: https://github.com/Lifailon/logporter","readme":"# logporter\r\n\r\nA simple and lightweight alternative to [cAdvisor](https://github.com/google/cadvisor) for getting all basic metrics from Docker containers with support metrics by logs.\r\n\r\n> On average, CPU consumption is 15-20 times lower and memory consumption is 10 times lower in the basic metrics mode (including IOps and uptime) compared to `cAdvisor`.\r\n\r\n## Install\r\n\r\n- Run the exporter in a container using an image from [Docker Hub](https://hub.docker.com/r/lifailon/logporter):\r\n\r\n```bash\r\ndocker run -d --name logporter \\\r\n  -v /var/run/docker.sock:/var/run/docker.sock \\\r\n  -p 9333:9333 \\\r\n  --restart=unless-stopped \\\r\n  lifailon/logporter:latest\r\n```\r\n\r\n- Connect the new target in the `prometheus.yml` configuration:\r\n\r\n```yml\r\nscrape_configs:\r\n  - job_name: logporter\r\n    scrape_interval: 5s\r\n    scrape_timeout: 1s\r\n    static_configs:\r\n      - targets:\r\n        - localhost:9333\r\n```\r\n\r\n- Import the prepared public [Grafana dashboard](https://grafana.com/grafana/dashboards/23848-docker-exporter-logporter) using the id `23848` or from [json](https://raw.githubusercontent.com/Lifailon/logporter/refs/heads/main/grafana/dashboard.json) file.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-08-06T14:55:20.000Z","updatedAt":"2025-11-15T11:15:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23848"},{"rel":"revisions","href":"/dashboards/23848/revisions"},{"rel":"revision","href":"/dashboards/23848/revisions/1"},{"rel":"download","href":"/dashboards/23848/revisions/1/download"},{"rel":"org","href":"/orgs/lifailon"},{"rel":"images","href":"/dashboards/23848/images"},{"rel":"thumbnails","href":"/dashboards/23848/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":395,"status":1,"statusCode":"active","orgId":24649,"orgSlug":"uschtwill","orgName":"uschtwill","slug":"main-overview","downloads":16801,"revisionId":536,"revision":1,"name":"Docker Host & Container Overview","description":"A simple overview of the most important Docker host and container metrics. (cAdvisor/Prometheus)","readme":"The (simplified) dashboard used in this Monitoring/Logging/Alerting Suite: [https://github.com/uschtwill/docker_monitoring_logging](https://github.com/uschtwill/docker_monitoring_logging)\r\n\r\nThe screenshot should be pretty self-explanatory.  Includes templating for container groups. The original (from the Github repository above) also draws annotations into the graphs by pulling user-defined log events and Prometheus alerts from an Elasticsearch (second screenshot).\r\n\r\n__Description from the Github repo:__\r\n* This is an out of the box monitoring, logging and alerting suite for Docker-hosts and their containers, complete with dashboards to monitor and explore your host and container logs and metrics.\r\n* Monitoring: cAdvisor and node_exporter for collection, Prometheus for storage, Grafana for visualisation.\r\n* Logging: Filebeat for collection and log-collection and forwarding, Logstash for aggregation and processing, Elasticsearch as datastore/backend and Kibana as the frontend.\r\n* Alerting: elastalert as a drop-in for Elastic.io's Watcher for alerts triggered by certain container or host log events and Prometheus' Alertmanager for alerts regarding metrics.","collectorType":"nodeExporter","collectorConfig":"Uses nodeExporter and cAdvisor as collectors. See Github repository for details regarding setup and configuration.","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-09-07T09:31:11.000Z","updatedAt":"2016-09-15T10:16:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/395"},{"rel":"revisions","href":"/dashboards/395/revisions"},{"rel":"revision","href":"/dashboards/395/revisions/1"},{"rel":"download","href":"/dashboards/395/revisions/1/download"},{"rel":"org","href":"/orgs/uschtwill"},{"rel":"images","href":"/dashboards/395/images"},{"rel":"thumbnails","href":"/dashboards/395/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18351,"status":1,"statusCode":"active","orgId":468610,"orgSlug":"skillpedia","orgName":"The SkillPedia","slug":"docker-host-container-overview","downloads":463,"revisionId":28170,"revision":1,"name":"Docker Host & Container Overview","description":"A simple overview of the most important Docker host and container metrics. (cAdvisor/Prometheus)","readme":"The dashboard is created using Grafana 9.4.7 on Rocky Linux. The Panel shows xfs filesystem specific metrics along with other stats.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-23T20:15:20.000Z","updatedAt":"2023-03-23T20:17:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18351"},{"rel":"revisions","href":"/dashboards/18351/revisions"},{"rel":"revision","href":"/dashboards/18351/revisions/1"},{"rel":"download","href":"/dashboards/18351/revisions/1/download"},{"rel":"org","href":"/orgs/skillpedia"},{"rel":"images","href":"/dashboards/18351/images"},{"rel":"thumbnails","href":"/dashboards/18351/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4492,"status":1,"statusCode":"active","orgId":116914,"orgSlug":"opera443399","orgName":"Nosmo King","slug":"docker-hosts","downloads":825,"revisionId":6625,"revision":3,"name":"docker hosts","description":"docker monitor","readme":"# node_exporter + prometheus = docker node metrics collecter\r\n* monitor the node only till now (I'm trying to find out how to collect docker/app metrics later)\r\n* change the variables in \"Templating\" if the value your prometheus settings is different than the default\r\n  ```\r\n  for example, probably you need to change this variable:\r\n  $node -> job=\"node_exporter\"\r\n\r\n  to match the job_name in prometheus:\r\n    - job_name: 'node_exporter'\r\n\r\n  ```\r\n\r\n\r\n# ref\r\nhttp://play.grafana.org/dashboard/db/prometheus-demo-dashboard\r\n","collectorType":"nodeExporter","collectorConfig":"`prometheus` config example:\r\n\r\n```bash\r\n~]$ cat prometheus.yml \r\n# my global config\r\nglobal:\r\n  scrape_interval:     15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.\r\n  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.\r\n  # scrape_timeout is set to the global default (10s).\r\n\r\n# Alertmanager configuration\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets:\r\n      # - alertmanager:9093\r\n\r\n# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.\r\nrule_files:\r\n  # - \"first_rules.yml\"\r\n  # - \"second_rules.yml\"\r\n\r\n# A scrape configuration containing exactly one endpoint to scrape:\r\n# Here it's Prometheus itself.\r\nscrape_configs:\r\n  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.\r\n  - job_name: 'prometheus'\r\n\r\n    # metrics_path defaults to '/metrics'\r\n    # scheme defaults to 'http'.\r\n\r\n    static_configs:\r\n      - targets: ['10.10.200.50:9090']\r\n        labels:\r\n          env: dev\r\n\r\n\r\n  - job_name: 'node_exporter'\r\n    static_configs:\r\n      ##### k8s-dev\r\n      - targets: ['10.10.240.101:9100', '10.10.240.102:9100', '10.10.240.103:9100']\r\n        labels:\r\n          env: dev\r\n          role: k8s-master\r\n          app: all\r\n      - targets: ['10.10.240.201:9100', '10.10.240.202:9100']\r\n        labels:\r\n          env: dev\r\n          role: k8s-worker\r\n          app: all\r\n\r\n      ##### swarm-qa\r\n      - targets: ['10.10.241.81:9100']\r\n        labels:\r\n          env: qa\r\n          role: swarm-master\r\n          app: car2share\r\n      - targets: ['10.10.241.91:9100']\r\n        labels:\r\n          env: qa\r\n          role: swarm-worker\r\n          app: car2share\r\n\r\n      ##### swarm-prod\r\n      - targets: ['10.101.2.190:9100', '10.101.2.191:9100', '10.101.2.192:9100']\r\n        labels:\r\n          env: prod\r\n          role: swarm-master\r\n          app: car2share\r\n\r\n      - targets: ['10.101.2.201:9100', '10.101.2.202:9100']\r\n        labels:\r\n          env: prod\r\n          role: swarm-worker\r\n          app: car2share\r\n\r\n```","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-01-29T01:42:39.000Z","updatedAt":"2018-03-08T02:57:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4492"},{"rel":"revisions","href":"/dashboards/4492/revisions"},{"rel":"revision","href":"/dashboards/4492/revisions/3"},{"rel":"download","href":"/dashboards/4492/revisions/3/download"},{"rel":"org","href":"/orgs/opera443399"},{"rel":"images","href":"/dashboards/4492/images"},{"rel":"thumbnails","href":"/dashboards/4492/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24696,"status":1,"statusCode":"active","orgId":1640640,"orgSlug":"oitc","orgName":"oitc","slug":"docker-hub-image-pulls","downloads":18,"revisionId":39989,"revision":2,"name":"Docker Hub Image Pulls","description":"","readme":"Graphical representation of pull_counts from Docker Hub metrics. These must be collected in advance and stored in an Elasticsearch or Opensearch database.\r\n\r\nData collection and storage can be performed using the following two Docker images:\r\n\r\n1. [oitc/dockerhubstats2mqtt](https://hub.docker.com/r/oitc/dockerhubstats2mqtt) collects metrics from Docker Hub and pushes them to an MQTT\r\n2. [oitc/mqtt2elasticsearch](https://hub.docker.com/r/oitc/mqtt2elasticsearch) subscribes to the responding MQTT topic and stores the incomming data into an Opensearch or Elasticsearch database\r\n\r\nA detailed description of the full metrics collection and visualization task can be read in the following blog article (german language): [https://www.oberdorf-itc.de/2026/01/14/docker-hub-pull-statistiken-selbst-auswerten/](https://www.oberdorf-itc.de/2026/01/14/docker-hub-pull-statistiken-selbst-auswerten/)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"OpenSearch","privacy":"public","createdAt":"2026-01-14T09:33:01.000Z","updatedAt":"2026-02-21T10:47:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24696"},{"rel":"revisions","href":"/dashboards/24696/revisions"},{"rel":"revision","href":"/dashboards/24696/revisions/2"},{"rel":"download","href":"/dashboards/24696/revisions/2/download"},{"rel":"org","href":"/orgs/oitc"},{"rel":"images","href":"/dashboards/24696/images"},{"rel":"thumbnails","href":"/dashboards/24696/thumbnails"}],"datasourceSlugs":["grafana-opensearch-datasource"]},{"id":784,"status":1,"statusCode":"active","orgId":22958,"orgSlug":"idomyowntricks","orgName":"Brian Christner","slug":"docker-hub-stats","downloads":975,"revisionId":1090,"revision":1,"name":"Docker Hub Stats","description":"Docker Hub image metrics","readme":"This dashboard is used to track Docker Hub metrics for selected images. Blog post coming soon for more info.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-10-31T13:59:34.000Z","updatedAt":"2016-10-31T14:01:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/784"},{"rel":"revisions","href":"/dashboards/784/revisions"},{"rel":"revision","href":"/dashboards/784/revisions/1"},{"rel":"download","href":"/dashboards/784/revisions/1/download"},{"rel":"org","href":"/orgs/idomyowntricks"},{"rel":"images","href":"/dashboards/784/images"},{"rel":"thumbnails","href":"/dashboards/784/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10744,"status":1,"statusCode":"active","orgId":278389,"orgSlug":"tommyers","orgName":"tommyers","slug":"docker-hub-stats","downloads":444,"revisionId":14996,"revision":1,"name":"Docker Hub Stats","description":"Docker Hub image metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-08-19T23:54:07.000Z","updatedAt":"2019-08-19T23:54:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10744"},{"rel":"revisions","href":"/dashboards/10744/revisions"},{"rel":"revision","href":"/dashboards/10744/revisions/1"},{"rel":"download","href":"/dashboards/10744/revisions/1/download"},{"rel":"org","href":"/orgs/tommyers"},{"rel":"images","href":"/dashboards/10744/images"},{"rel":"thumbnails","href":"/dashboards/10744/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22593,"status":1,"statusCode":"active","orgId":779498,"orgSlug":"dominikbritz","orgName":"dominikbritz","slug":"docker-logs","downloads":662,"revisionId":35860,"revision":2,"name":"Docker Logs","description":"","readme":"This dashboard shows Docker logs. The first row presents totals, error and warning ratio, as well as top 10 errors and warnings by container and host. The second row shows a detailed and filterable table with all logs.\r\n\r\nThe data source is [VictoriaLogs](https://docs.victoriametrics.com/victorialogs/\r\n\r\nFor more information, please refer to the accompanying [blog article](https://dominikbritz.com/posts/victoria-metrics-grafana/).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"VictoriaLogs","privacy":"public","createdAt":"2025-01-01T18:26:01.000Z","updatedAt":"2025-01-21T15:44:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22593"},{"rel":"revisions","href":"/dashboards/22593/revisions"},{"rel":"revision","href":"/dashboards/22593/revisions/2"},{"rel":"download","href":"/dashboards/22593/revisions/2/download"},{"rel":"org","href":"/orgs/dominikbritz"},{"rel":"images","href":"/dashboards/22593/images"},{"rel":"thumbnails","href":"/dashboards/22593/thumbnails"}],"datasourceSlugs":["victoriametrics-logs-datasource"]},{"id":19811,"status":1,"statusCode":"active","orgId":584623,"orgSlug":"gowthamchinta","orgName":"gowthamchinta","slug":"docker-metrics","downloads":300,"revisionId":30428,"revision":1,"name":"Docker Metrics","description":"Simple exporter for cadvisor only","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-10-19T16:48:34.000Z","updatedAt":"2023-10-19T16:48:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19811"},{"rel":"revisions","href":"/dashboards/19811/revisions"},{"rel":"revision","href":"/dashboards/19811/revisions/1"},{"rel":"download","href":"/dashboards/19811/revisions/1/download"},{"rel":"org","href":"/orgs/gowthamchinta"},{"rel":"images","href":"/dashboards/19811/images"},{"rel":"thumbnails","href":"/dashboards/19811/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19814,"status":1,"statusCode":"active","orgId":584623,"orgSlug":"gowthamchinta","orgName":"gowthamchinta","slug":"docker-metrics","downloads":291,"revisionId":30431,"revision":1,"name":"Docker Metrics","description":"Simple exporter for cadvisor only","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-10-19T17:45:33.000Z","updatedAt":"2023-10-19T17:45:49.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19814"},{"rel":"revisions","href":"/dashboards/19814/revisions"},{"rel":"revision","href":"/dashboards/19814/revisions/1"},{"rel":"download","href":"/dashboards/19814/revisions/1/download"},{"rel":"org","href":"/orgs/gowthamchinta"},{"rel":"images","href":"/dashboards/19814/images"},{"rel":"thumbnails","href":"/dashboards/19814/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3056,"status":1,"statusCode":"active","orgId":81491,"orgSlug":"xor22h","orgName":"Julius Lisauskas","slug":"docker-metrics-per-container","downloads":2585,"revisionId":4421,"revision":2,"name":"Docker Metrics per container","description":"","readme":"","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.docker]]\r\n  endpoint = \"unix:///var/run/docker.sock\"\r\n  container_names = []\r\n  timeout = \"5s\"\r\n  perdevice = true\r\n  ## Whether to report for each container total blkio and network stats or not\r\n  total = false\r\n  ## docker labels to include and exclude as tags.  Globs accepted.\r\n  ## Note that an empty array for both will include all labels as tags\r\n  docker_label_include = []\r\n  docker_label_exclude = []\r\n\r\n[[outputs.influxdb]]\r\n  urls = [\"http://$INFLUX_HOST:$INFLUX_PORT\"] # required\r\n  database = \"telegraf\" # required\r\n  retention_policy = \"\"\r\n  write_consistency = \"any\"\r\n  timeout = \"5s\"\r\n```","collectorPluginList":"docker, influxdb","datasource":"InfluxDB","privacy":"public","createdAt":"2017-08-28T11:11:04.000Z","updatedAt":"2017-09-12T09:59:45.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3056"},{"rel":"revisions","href":"/dashboards/3056/revisions"},{"rel":"revision","href":"/dashboards/3056/revisions/2"},{"rel":"download","href":"/dashboards/3056/revisions/2/download"},{"rel":"org","href":"/orgs/xor22h"},{"rel":"images","href":"/dashboards/3056/images"},{"rel":"thumbnails","href":"/dashboards/3056/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":193,"status":1,"statusCode":"active","orgId":22966,"orgSlug":"philicious","orgName":"philicious","slug":"docker-monitoring","downloads":30440,"revisionId":244,"revision":1,"name":"Docker monitoring","description":"Docker monitoring with Prometheus and cAdvisor","readme":"This is a dashboard for monitoring Docker container metrics collected by cAdvisor and stored in Prometheus TSDB.\r\n\r\nIts an alternative for [Brians Docker dashboard](https://grafana.net/dashboards/179) with some variations and not based on the Kubernetes Dashboard.\r\n\r\nFor monitoring the host system, I suggest using [node-exporter dashboard](https://grafana.net/dashboards/22) along this one.\r\n\r\nIf you have any suggestions or want to contribute, check [https://github.com/philicious/grafana-dashboards](https://github.com/philicious/grafana-dashboards)","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-07-14T21:30:30.000Z","updatedAt":"2017-02-17T15:06:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":3.67,"links":[{"rel":"self","href":"/dashboards/193"},{"rel":"revisions","href":"/dashboards/193/revisions"},{"rel":"revision","href":"/dashboards/193/revisions/1"},{"rel":"download","href":"/dashboards/193/revisions/1/download"},{"rel":"org","href":"/orgs/philicious"},{"rel":"images","href":"/dashboards/193/images"},{"rel":"thumbnails","href":"/dashboards/193/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4485,"status":1,"statusCode":"active","orgId":116460,"orgSlug":"cdewitt","orgName":"cdewitt","slug":"docker-monitoring","downloads":1399,"revisionId":13802,"revision":2,"name":"Docker monitoring","description":"","readme":"Shows cpu, memory, network, and io usage by docker container. Metrics gathered from https://github.com/projectaur/docker-stats-exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-01-26T17:19:19.000Z","updatedAt":"2019-03-11T15:38:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4485"},{"rel":"revisions","href":"/dashboards/4485/revisions"},{"rel":"revision","href":"/dashboards/4485/revisions/2"},{"rel":"download","href":"/dashboards/4485/revisions/2/download"},{"rel":"org","href":"/orgs/cdewitt"},{"rel":"images","href":"/dashboards/4485/images"},{"rel":"thumbnails","href":"/dashboards/4485/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15798,"status":1,"statusCode":"active","orgId":557308,"orgSlug":"shizunge","orgName":"shizunge","slug":"docker-monitoring","downloads":840788,"revisionId":37708,"revision":13,"name":"Docker monitoring","description":"Docker monitoring with Prometheus and cAdvisor with node and service selection","readme":"This is a dashboard for monitoring Docker container metrics collected by cAdvisor and stored in Prometheus TSDB.\r\n\r\nInspired by [193](https://grafana.com/grafana/dashboards/193) and [8321](https://grafana.com/grafana/dashboards/8321)\r\n\r\nFeatures:\r\n* Depend on only [cAdvisor metrics](https://github.com/google/cadvisor/blob/master/docs/storage/prometheus.md).\r\n* Select Jobs, Nodes and Services. Multi-value and Select-all are supported.\r\n* Use the new Time series panel. [Faster](https://grafana.com/blog/2021/02/10/how-the-new-time-series-panel-brings-major-performance-improvements-and-new-visualization-features-to-grafana-7.4/)\r\n* Merge network transmit and receive into one longer panel.\r\n* Merge Disk read and write into one longer panel.\r\n\r\nThis dashboard use the following metrics and their corresponding cadvisor model:\r\n* `container_cpu_user_seconds_total` : cpu\r\n* `container_memory_usage_bytes` : memory\r\n* `container_network_receive_bytes_total` : network\r\n* `container_network_transmit_bytes_total` : network\r\n* `container_fs_reads_bytes_total` : diskIO\r\n* `container_fs_writes_bytes_total` : diskIO\r\n\r\nThis dashboard expects the following labels on the metrics:\r\n* `job`\r\n* `service`\r\n* `node`\r\n* `container`\r\n\r\nYou may assign `container_label_com_docker_swarm_service_name` to `service`, and `name` to `container` using Prometheus' `metric_relabel_configs`. Here is an example of the scrape rules.\r\n```\r\nmetric_relabel_configs:\r\n      - source_labels: ['container_label_com_docker_swarm_service_name']\r\n        target_label: 'service'\r\n      - source_labels: ['name']\r\n        target_label: 'container'\r\n```\r\n\r\nYou can add `container_label_com_docker_swarm_service_name` to the container by setting `allowlisted_container_labels: ['com.docker.swarm.service.name']` for the cadvisor.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-02-23T02:14:13.000Z","updatedAt":"2025-07-12T06:07:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15798"},{"rel":"revisions","href":"/dashboards/15798/revisions"},{"rel":"revision","href":"/dashboards/15798/revisions/13"},{"rel":"download","href":"/dashboards/15798/revisions/13/download"},{"rel":"org","href":"/orgs/shizunge"},{"rel":"images","href":"/dashboards/15798/images"},{"rel":"thumbnails","href":"/dashboards/15798/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12831,"status":1,"statusCode":"active","orgId":408923,"orgSlug":"grubera","orgName":"grubera","slug":"docker-monitoring","downloads":554,"revisionId":18523,"revision":1,"name":"Docker monitoring","description":"Docker monitoring with prometheus, cadvisor and exporter","readme":"Short installation 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\r\n\r\nhttps://jackgruber.github.io/2020-08-15-Docker-monitoring-with-Grafana/","collectorType":"nodeExporter","collectorConfig":"","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-08-15T13:59:28.000Z","updatedAt":"2020-08-15T14:37:04.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12831"},{"rel":"revisions","href":"/dashboards/12831/revisions"},{"rel":"revision","href":"/dashboards/12831/revisions/1"},{"rel":"download","href":"/dashboards/12831/revisions/1/download"},{"rel":"org","href":"/orgs/grubera"},{"rel":"images","href":"/dashboards/12831/images"},{"rel":"thumbnails","href":"/dashboards/12831/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14916,"status":1,"statusCode":"active","orgId":521952,"orgSlug":"teammacdonnell","orgName":"teammacdonnell","slug":"docker-monitoring","downloads":348,"revisionId":22247,"revision":1,"name":"Docker 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same.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-09-05T18:09:26.000Z","updatedAt":"2017-09-05T18:20:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3125"},{"rel":"revisions","href":"/dashboards/3125/revisions"},{"rel":"revision","href":"/dashboards/3125/revisions/1"},{"rel":"download","href":"/dashboards/3125/revisions/1/download"},{"rel":"org","href":"/orgs/alicek106"},{"rel":"images","href":"/dashboards/3125/images"},{"rel":"thumbnails","href":"/dashboards/3125/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8321,"status":1,"statusCode":"active","orgId":199484,"orgSlug":"leakyheap","orgName":"leakyheap","slug":"docker-monitoring-with-node-selection","downloads":7610,"revisionId":11582,"revision":3,"name":"Docker monitoring with node selection","description":"Docker monitoring with Prometheus and cAdvisor with 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job.\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-10-11T18:23:39.000Z","updatedAt":"2018-10-18T21:43:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":8,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/8321"},{"rel":"revisions","href":"/dashboards/8321/revisions"},{"rel":"revision","href":"/dashboards/8321/revisions/3"},{"rel":"download","href":"/dashboards/8321/revisions/3/download"},{"rel":"org","href":"/orgs/leakyheap"},{"rel":"images","href":"/dashboards/8321/images"},{"rel":"thumbnails","href":"/dashboards/8321/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10657,"status":1,"statusCode":"active","orgId":268121,"orgSlug":"sudy1","orgName":"sudy1","slug":"docker-and-system-monitoring","downloads":1224,"revisionId":14881,"revision":1,"name":"Docker monitoring with select muti node","description":"A simple overview of the most important Docker host and container 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Zabbix","description":"Grafana dashboard with Zabbix as the data source severing as a docker overview","readme":"## Docker Overview - Zabbix\r\n\r\nThis dashboard enabled the use of zabbix as a datasource for Docker metrics, in order to use this data source you will need to install the [Zabbix plugin for Grafana](https://grafana.com/grafana/plugins/alexanderzobnin-zabbix-app)\r\n\r\n![enter image description here](https://user-images.githubusercontent.com/26186145/93467113-347c9300-f8e5-11ea-88ad-9e8b67b7a2cf.png)\r\n\r\n> As of 17/09/2020 the instructions on the plugin page did not work for me on the latest version of Grafana, so replace the provived command to install with `sudo grafana-cli plugins install alexanderzobnin-zabbix-app 3.12.4`\r\n\r\nIn order to tweak this to your needs I would advise you to change the group and host variables, replace the value `/Zabbix servers/` with the Zabbix Group that your docker host resided in.\r\n\r\n\r\n![](https://user-images.githubusercontent.com/26186145/93467237-655cc800-f8e5-11ea-948c-72033dc25372.png)Following this you will likely also need to change the host variable, in this change the value `/Zabbix server/`with the host name of your docker host.\r\n\r\n\r\n![enter image description here](https://user-images.githubusercontent.com/26186145/93467453-aa80fa00-f8e5-11ea-85d2-5d28489b08f7.png)\r\n\r\n\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2020-09-17T11:42:36.000Z","updatedAt":"2020-09-17T12:02:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13028"},{"rel":"revisions","href":"/dashboards/13028/revisions"},{"rel":"revision","href":"/dashboards/13028/revisions/1"},{"rel":"download","href":"/dashboards/13028/revisions/1/download"},{"rel":"org","href":"/orgs/izm1chael"},{"rel":"images","href":"/dashboards/13028/images"},{"rel":"thumbnails","href":"/dashboards/13028/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":24879,"status":1,"statusCode":"active","orgId":1094004,"orgSlug":"scifire","orgName":"scifire","slug":"docker-overview-zabbix","downloads":27,"revisionId":39927,"revision":1,"name":"Docker Overview - 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See: [https://docs.docker.com/registry/configuration/#debug](https://docs.docker.com/registry/configuration/#debug)\n\nGithub: [lstn/misc-grafana-dashboards](https://github.com/lstn/misc-grafana-dashboards)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-01-11T14:54:41.000Z","updatedAt":"2019-01-11T15:13:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9621"},{"rel":"revisions","href":"/dashboards/9621/revisions"},{"rel":"revision","href":"/dashboards/9621/revisions/2"},{"rel":"download","href":"/dashboards/9621/revisions/2/download"},{"rel":"org","href":"/orgs/lstn"},{"rel":"images","href":"/dashboards/9621/images"},{"rel":"thumbnails","href":"/dashboards/9621/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19613,"status":1,"statusCode":"active","orgId":526817,"orgSlug":"quetzalmagos","orgName":"quetzalmagos","slug":"docker-registry","downloads":676,"revisionId":30109,"revision":1,"name":"Docker 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Registry","description":"docr","readme":"gfjdtlku","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-05-19T11:29:38.000Z","updatedAt":"2023-05-19T11:31:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18783"},{"rel":"revisions","href":"/dashboards/18783/revisions"},{"rel":"revision","href":"/dashboards/18783/revisions/1"},{"rel":"download","href":"/dashboards/18783/revisions/1/download"},{"rel":"org","href":"/orgs/josephjuma24"},{"rel":"images","href":"/dashboards/18783/images"},{"rel":"thumbnails","href":"/dashboards/18783/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24609,"status":1,"statusCode":"active","orgId":1626760,"orgSlug":"callmetigro","orgName":"callmetigro","slug":"docker-stats","downloads":122,"revisionId":39428,"revision":1,"name":"Docker Stats","description":"Dashboard for the docker container stats exported by https://github.com/callmetigro/simple-docker-exporter","readme":"# Docker Stats Dashboard\r\n\r\nThis dashboard provides a comprehensive view of Docker container resource usage based on metrics exported by [simple-docker-exporter](https://github.com/callmetigro/simple-docker-exporter) and collected with Prometheus.\r\n\r\n---\r\n\r\n## What this dashboard shows\r\n\r\nFor each Docker container, the dashboard visualizes:\r\n\r\n### CPU\r\n- CPU usage over time (per container)\r\n- CPU usage heatmap for quick comparison\r\n- Average CPU usage over the selected time range\r\n\r\n### Memory\r\n- Memory usage in bytes\r\n- Memory usage heatmap\r\n- Memory usage ratio and limits (where available)\r\n\r\n### Network\r\n- Network received bytes\r\n- Network transmitted bytes\r\n- Heatmaps for network I/O activity\r\n\r\n### Disk / Block I/O\r\n- Block I/O read bytes\r\n- Block I/O written bytes\r\n- Heatmaps for disk activity\r\n\r\n### Summary table\r\nA combined table showing average values over the selected time range:\r\n- CPU usage (%)\r\n- Memory usage (%)\r\n- Memory usage (bytes)\r\n- Network I/O\r\n- Disk I/O\r\n\r\n---\r\n\r\n## Dashboard variables\r\n\r\nThe dashboard includes the following variables:\r\n\r\n- **job** – Prometheus job label\r\n- **instance** – Prometheus instance label\r\n- **container** – Docker container name (supports multi-select and All)\r\n\r\nThese variables allow flexible filtering across hosts and containers.\r\n\r\n---\r\n\r\n## Data source requirements\r\n\r\n- Prometheus datasource is required\r\n- Metrics must be provided by [simple-docker-exporter](https://github.com/callmetigro/simple-docker-exporter)\r\n\r\nExample metrics used:\r\n- `dockerstats_cpu_usage_ratio`\r\n- `dockerstats_memory_usage_bytes`\r\n- `dockerstats_network_received_bytes`\r\n- `dockerstats_network_transmitted_bytes`\r\n- `dockerstats_blockio_read_bytes`\r\n- `dockerstats_blockio_written_bytes`","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-12-26T11:19:03.000Z","updatedAt":"2025-12-26T13:16:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24609"},{"rel":"revisions","href":"/dashboards/24609/revisions"},{"rel":"revision","href":"/dashboards/24609/revisions/1"},{"rel":"download","href":"/dashboards/24609/revisions/1/download"},{"rel":"org","href":"/orgs/callmetigro"},{"rel":"images","href":"/dashboards/24609/images"},{"rel":"thumbnails","href":"/dashboards/24609/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3861,"status":1,"statusCode":"active","orgId":102498,"orgSlug":"dockerhp","orgName":"Docker High Performance","slug":"docker-swarm","downloads":525,"revisionId":5262,"revision":1,"name":"Docker Swarm","description":"A Dashboard for Docker Swarm for Section 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swarm and container metrics. (cAdvisor/NodeExporter/Prometheus)","readme":"It modifies a little bit the original dashboard to adapt the graphs to fit better with a Docker swarm cluster which is running cAdvisor and Node Exporter on each node.\r\n\r\nTo use it you need:\r\n\r\n- A Docker swarm mode cluster.\r\n- Launch some services. Swarm will automatically propagate some labels that are used by the dashboard.\r\n- If you don't launch the services using the \"docker stack deploy XXX\" command there's another label that you'll need to launch per service (--container-label com.docker.stack.namespace=XXX) to identify those services by its intended usage.\r\n- You'll need to launch cAdvisor and node-exporter as global service in the cluster, and use the same network for them and the Prometheus instance.\r\n- Node exporter can export extra metrics, in this case I found useful to export the hostname, to allow the node metrics to be split by it. An example of this can be found in the repo: https://github.com/bvis/docker-node-exporter\r\n- Prometheus needs to be launched with the auto-discovery configuration based on DNS.\r\n- It uses Elasticsearch to search errors in the logs generated by logstash\r\n- It uses Elasticsearch, in another index, to check for alerts fired and resolved\r\n- It assumes that in your cluster you are using a proxy for public traffic. You can decide from your services list which one is your proxy. I find useful to have split the traffic of this service, because it basically can distort the traffic metrics.\r\nThis configuration should work:\r\n```\r\nglobal:\r\n  scrape_interval:     30s\r\n  evaluation_interval: 30s\r\n\r\n  labels:\r\n      cluster: swarm\r\n      replica: \"1\"\r\n\r\nscrape_configs:\r\n  - job_name: 'cadvisor'\r\n    dns_sd_configs:\r\n    - names:\r\n      - 'tasks.cadvisor'\r\n      type: 'A'\r\n      port: 8080\r\n\r\n  - job_name: 'node-exporter'\r\n    dns_sd_configs:\r\n    - names:\r\n      - 'tasks.node-exporter'\r\n      type: 'A'\r\n      port: 9100\r\n```  \r\n\r\nBased on Docker Host & Container Overviewby by uschtwill [https://grafana.net/dashboards/395](https://grafana.net/dashboards/395).\r\n\r\nMore info about the usage of this dashboard can be found in [this repo](https://github.com/bvis/docker-prometheus-swarm)\r\n\r\nIf you liked it, you may [buy me a coffee](https://ko-fi.com/A214GTV).","collectorType":"nodeExporter","collectorConfig":"","collectorPluginList":null,"datasource":"Elasticsearch, Prometheus","privacy":"public","createdAt":"2016-10-11T00:50:06.000Z","updatedAt":"2017-11-02T17:34:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/609"},{"rel":"revisions","href":"/dashboards/609/revisions"},{"rel":"revision","href":"/dashboards/609/revisions/24"},{"rel":"download","href":"/dashboards/609/revisions/24/download"},{"rel":"org","href":"/orgs/basi"},{"rel":"images","href":"/dashboards/609/images"},{"rel":"thumbnails","href":"/dashboards/609/thumbnails"}],"datasourceSlugs":["elasticsearch","prometheus"]},{"id":10783,"status":1,"statusCode":"active","orgId":141515,"orgSlug":"tanyongkeong","orgName":"tanyongkeong","slug":"docker-swarm-container-overview","downloads":425,"revisionId":15049,"revision":1,"name":"Docker Swarm & Container Overview","description":"Overview of the most important Docker swarm and container metrics. (cAdvisor/NodeExporter/Prometheus)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch, Prometheus","privacy":"public","createdAt":"2019-08-29T02:17:12.000Z","updatedAt":"2019-08-29T02:17:21.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10783"},{"rel":"revisions","href":"/dashboards/10783/revisions"},{"rel":"revision","href":"/dashboards/10783/revisions/1"},{"rel":"download","href":"/dashboards/10783/revisions/1/download"},{"rel":"org","href":"/orgs/tanyongkeong"},{"rel":"images","href":"/dashboards/10783/images"},{"rel":"thumbnails","href":"/dashboards/10783/thumbnails"}],"datasourceSlugs":["elasticsearch","prometheus"]},{"id":10728,"status":1,"statusCode":"active","orgId":257136,"orgSlug":"codenotary","orgName":"Dennis Zimmer","slug":"docker-swarm-codenotary-vcn-overview","downloads":651,"revisionId":14974,"revision":1,"name":"Docker Swarm CodeNotary vcn Overview","description":"This dashboard shows the running Docker swarm (docker container platform) container verification status based on CodeNotary.io results.","readme":"This dashboard shows the running Docker swarm (docker container platform) container authentication based on CodeNotary results.\nYou can simply register at codenotary.io and start a free account. Notarize the container you want to show authenticated to know exactly when unwanted container images have been deployed and are getting used by running container.\nCheck the description here, to see how to configure prometheus:\n[https://github.com/vchain-us/vcn-watchdog](https://github.com/vchain-us/vcn-watchdog)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-08-14T11:02:39.000Z","updatedAt":"2019-08-15T08:28:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10728"},{"rel":"revisions","href":"/dashboards/10728/revisions"},{"rel":"revision","href":"/dashboards/10728/revisions/1"},{"rel":"download","href":"/dashboards/10728/revisions/1/download"},{"rel":"org","href":"/orgs/codenotary"},{"rel":"images","href":"/dashboards/10728/images"},{"rel":"thumbnails","href":"/dashboards/10728/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":1367,"status":1,"statusCode":"active","orgId":42524,"orgSlug":"ekambarampasham","orgName":"ekambarampasham","slug":"swarm-dashboard","downloads":1174,"revisionId":1871,"revision":1,"name":"Docker Swarm Dashboard","description":"Docker Swarm Cluster Dashboard","readme":"docker network create --driver overlay monitoring\r\n\r\necho \"Creating the [influxdb] service\"\r\ndocker service create \\\r\n  --network monitoring \\\r\n  --publish=8083:8083 \\\r\n  --publish=8086:8086 \\\r\n  --mount=type=bind,source=/opt/influxdb/data,target=/var/lib/influxdb \\\r\n  --name=influxdb \\\r\n  --constraint=node.role==manager \\\r\n  influxdb:alpine\r\n\r\n\r\necho \"Creating the [cadvisor] service\"  \r\ndocker service create \\\r\n  --network monitoring \\\r\n  --name cadvisor \\\r\n  --mode global \\\r\n  --mount type=bind,source=/var/run,target=/var/run,readonly=false \\\r\n  --mount type=bind,source=/,target=/rootfs,readonly=true \\\r\n  --mount type=bind,source=/sys,target=/sys,readonly=true \\\r\n  --mount type=bind,source=/var/lib/docker,target=/var/lib/docker,readonly=true \\\r\n  google/cadvisor -storage_driver=influxdb -storage_driver_host=influxdb:8086 \\\r\n  -storage_driver_db=cadvisor\r\n\r\necho \"Creating the [grafana] service\"    \r\ndocker service create \\\r\n  --network monitoring \\\r\n  --publish=3000:3000 \\\r\n  -e \"GF_SECURITY_ADMIN_PASSWORD=admin\" \\\r\n  --constraint=node.role==manager \\\r\n  --name grafana grafana/grafana","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-01-23T10:39:23.000Z","updatedAt":"2017-01-23T10:44:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1367"},{"rel":"revisions","href":"/dashboards/1367/revisions"},{"rel":"revision","href":"/dashboards/1367/revisions/1"},{"rel":"download","href":"/dashboards/1367/revisions/1/download"},{"rel":"org","href":"/orgs/ekambarampasham"},{"rel":"images","href":"/dashboards/1367/images"},{"rel":"thumbnails","href":"/dashboards/1367/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11939,"status":1,"statusCode":"active","orgId":361167,"orgSlug":"stoyanmakedonski","orgName":"stoyanmakedonski","slug":"ssc-services-2","downloads":3320,"revisionId":16958,"revision":3,"name":"Docker Swarm Dashboard","description":"Docker Swarm stacks and services metrics","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-17T15:43:55.000Z","updatedAt":"2020-03-19T10:44:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11939"},{"rel":"revisions","href":"/dashboards/11939/revisions"},{"rel":"revision","href":"/dashboards/11939/revisions/3"},{"rel":"download","href":"/dashboards/11939/revisions/3/download"},{"rel":"org","href":"/orgs/stoyanmakedonski"},{"rel":"images","href":"/dashboards/11939/images"},{"rel":"thumbnails","href":"/dashboards/11939/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18509,"status":1,"statusCode":"active","orgId":788700,"orgSlug":"altodev","orgName":"altodev","slug":"altopay-docker-swarm-monitoring","downloads":890,"revisionId":28388,"revision":1,"name":"Docker Swarm Monitoring","description":"Docker monitoring with Prometheus and cAdvisor","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-13T07:13:06.000Z","updatedAt":"2023-04-13T07:16:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18509"},{"rel":"revisions","href":"/dashboards/18509/revisions"},{"rel":"revision","href":"/dashboards/18509/revisions/1"},{"rel":"download","href":"/dashboards/18509/revisions/1/download"},{"rel":"org","href":"/orgs/altodev"},{"rel":"images","href":"/dashboards/18509/images"},{"rel":"thumbnails","href":"/dashboards/18509/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7461,"status":1,"statusCode":"active","orgId":169220,"orgSlug":"mterzo","orgName":"Mike  Terzo","slug":"docker-swarm-nodes","downloads":1485,"revisionId":10122,"revision":1,"name":"Docker Swarm Nodes","description":"Docker Swarm nodes metrics","readme":"This relies on data from both node_exporter and dockerd-exporter.\r\n\r\nFilter by node name instead of node_id.\r\n\r\nUsing swarm prom-node-exporter as a base, with the updated node_exporter binary from 0.16.0.  15 to 16 changes several stat names which are redefined.\r\n\r\n```Dockerfile\r\nFROM stefanprodan/swarmprom-node-exporter:v0.15.2 as BASE\r\nFROM prom/node-exporter:v0.16.0\r\n\r\nCOPY --from=BASE /etc/node-exporter/docker-entrypoint.sh /etc/node-exporter/docker-entrypoint.sh\r\n\r\nUSER root\r\nRUN chown nobody:wheel /etc/node-exporter\r\nUSER nobody\r\n\r\nENTRYPOINT  [ \"/etc/node-exporter/docker-entrypoint.sh\" ]\r\nCMD [ \"/bin/node_exporter\" ]\r\n```\r\n","collectorType":"nodeExporter","collectorConfig":"Based on dashboard found: https://github.com/stefanprodan/swarmprom/blob/0f4d40ee90f672b17aa24d5c6e119eed69aa9302/grafana/dashboards/swarmprom-nodes-dash.json\r\n\r\nThis uses node-exporter version 0.16.  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metrics:\r\n          vcs.contributor.count:\r\n            enabled: true\r\n          # 09/16/24 - CVE metrics are only in the Liatrio Distro at this time.\r\n          vcs.cve.count:\r\n            enabled: true\r\n        \r\nservice:\r\n  extensions: [bearertokenauth/team1]\r\n  pipelines:\r\n    metrics:\r\n      receivers: [github/team1]\r\n      processors: []\r\n      exporters: [debug, 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OpenTelemetry, including all necessary configuration for the application.\r\n\r\nThis dashboard includes monitoring for Inbound Requests, Outbound Requests, Memory, GC, CPU, SQL, EF Core, ThreadPool, JIT, Exceptions, and Lock Contentions.\r\n\r\nAuthor: @hasanxdev in social media\r\nMail: hasan.arab.borzo@gmail.com","readme":"# 📈 .NET Application Performance Dashboard (Performance With HSN)\r\n\r\nThis dashboard is a comprehensive monitoring tool designed to track the performance, health, and network behavior of applications developed on the **.NET** platform and related frameworks like **ASP.NET Core** and **EF Core**.\r\n\r\nThe primary goal of this dashboard is to provide deep insight into key performance indicators (KPIs) for both the server-side (Kestrel) and client-side (HttpClient) to quickly diagnose performance bottlenecks, network errors, and resource management issues.\r\n\r\n---\r\n\r\n## 👤 Author and Contact Information\r\n\r\n**GitHub**: https://github.com/hasanxdev\r\n**Telegram**: https://t.me/hasanxdev\r\n**YouTube**: https://www.youtube.com/@hasanxdev\r\n**Mail**: hasan.arab.borzo@gmail.com\r\n\r\n---\r\n\r\n## ⚙️ Prerequisites and Data Sources\r\n\r\nThis dashboard is designed to work with monitoring data collected by **Prometheus** from **.NET** applications that publish metrics via OpenTelemetry Metrics or similar tools (like ASP.NET Core Metrics).\r\n\r\n* **Data Source:** Prometheus (Configured as `grafanacloud-prom` in the JSON configuration).\r\n* **Filterable Variables:**\r\n    * `environment`: To filter by deployment environments (e.g., `production`, `staging`).\r\n    * `service_name`: To select the desired service/application name.\r\n\r\n---\r\n\r\n# 🤑 How to export metrics?\r\n\r\n#### 1. install dotnet packages\r\n```cmd\r\ndotnet add package OpenTelemetry.Exporter.Prometheus.AspNetCore\r\ndotnet add package OpenTelemetry.Extensions.Hosting\r\ndotnet add package OpenTelemetry.Instrumentation.AspNetCore\r\ndotnet add package OpenTelemetry.Instrumentation.ConfluentKafka\r\ndotnet add package OpenTelemetry.Instrumentation.ElasticsearchClient\r\ndotnet add package OpenTelemetry.Instrumentation.EntityFrameworkCore\r\ndotnet add package OpenTelemetry.Instrumentation.EventCounters\r\ndotnet add package OpenTelemetry.Instrumentation.Http\r\ndotnet add package OpenTelemetry.Instrumentation.Process\r\ndotnet add package OpenTelemetry.Instrumentation.Runtime\r\ndotnet add package OpenTelemetry.Instrumentation.SqlClient \r\n```\r\n> WRNING: Some instrumentation may have memory leaks in newer or older versions.\r\n> I recommend performing this work carefully and step by step.\r\n\r\n#### 2. setup in your code:\r\n```csharp\r\nbuilder.Services.AddOpenTelemetry()\r\n    .ConfigureResource(resourceBuilder =>\r\n    {\r\n                resourceBuilder\r\n            .AddService(\"YourApplicationName\")\r\n            .AddAttributes(new Dictionary<string, object>\r\n            {\r\n                [\"deployment.environment\"] = builder.Environment.EnvironmentName.ToLower()\r\n            });\r\n    })\r\n    .WithMetrics(meterProviderBuilder =>\r\n    {\r\n        meterProviderBuilder.AddAspNetCoreInstrumentation();\r\n        meterProviderBuilder.AddHttpClientInstrumentation();\r\n        meterProviderBuilder.AddRuntimeInstrumentation();\r\n        meterProviderBuilder.AddSqlClientInstrumentation();\r\n        meterProviderBuilder.AddProcessInstrumentation();\r\n        \r\n        string[] diagnosticsMetrics =\r\n        [\r\n            \"System.Net.Http\",\r\n            \"System.Net.NameResolution\",\r\n            \"System.Threading\",\r\n            \"System.Runtime\",\r\n            \"Microsoft.EntityFrameworkCore\"\r\n        ];\r\n        \r\n        meterProviderBuilder.AddMeter(diagnosticsMetrics);\r\n\r\n        meterProviderBuilder.AddPrometheusExporter(options =>\r\n        {\r\n            options.ScrapeEndpointPath = \"/metrics\";\r\n            options.ScrapeResponseCacheDurationMilliseconds = 1000;\r\n        });\r\n\r\n        meterProviderBuilder.AddOtlpExporter((cfg, reader) =>\r\n        {\r\n            cfg.Endpoint = new Uri(builder.Configuration[\"OTEL_EXPORTER_OTLP_ENDPOINT\"]); // Read step 3\r\n            cfg.Headers = builder.Configuration[\"OTEL_EXPORTER_OTLP_HEADERS\"]; // Read step 3\r\n            cfg.Protocol = OtlpExportProtocol.HttpProtobuf;\r\n            reader.PeriodicExportingMetricReaderOptions.ExportIntervalMilliseconds = (int?)TimeSpan.FromSeconds(30).TotalMilliseconds;\r\n        });\r\n    });\r\n\r\n// in app\r\n\r\napp.MapPrometheusScrapingEndpoint();\r\n\r\n```\r\n\r\n#### 3. Register on https://grafana.net or use metrics in '/metrics' route for private cloud \r\n\r\n##### For registration:\r\n1. Going to details your stack https://grafana.com/orgs/[your-stack-grafana-sub domain]/stacks\r\n2. Configure OpenTelemetry\r\n3. Generate API Token\r\n4. from \"Environment Variables\" copy variables and set to your application\r\n5. You should append \"/v1/metrics\" to the end of the OTEL_EXPORTER_OTLP_ENDPOINT variable.\r\n\r\n\r\n---\r\n\r\n## 🔑 Key Monitored Indicators\r\n\r\nThe dashboard is logically divided into several main sections:\r\n\r\n### 1. Application Health & Resources\r\n\r\nThis section provides an overview of the application's internal health and resource management at runtime:\r\n\r\n* **Dotnet Exceptions Total:** The total number of exceptions thrown in managed code.\r\n* **Active Timers Count:** The number of active timers (important for monitoring potential resource leaks and concurrency).\r\n* **Lock Contention Count:** The number of times contention occurred while trying to acquire a Monitor Lock (an indicator of concurrency bottlenecks).\r\n\r\n### 2. Inbound Requests 📥 | Kestrel\r\n\r\nThis section specifically monitors the performance and processing capability of the **Kestrel** web server in ASP.NET Core:\r\n\r\n* **Duration of Connections on the Server:** Monitoring the connection lifetime on the server side (P99, P95, and average percentiles).\r\n* **Application Active/Queued Connections:** The number of active and queued connections based on the port.\r\n* **TPM APIs (Throughput):** Transactions Per Minute (Requests Per Minute) based on the API route.\r\n* **Http Requests Overview:** Average request duration based on the route and response status code.\r\n\r\n### 3. Outbound Requests 📤 | HTTP Client\r\n\r\nThis section specifically monitors **HTTP Client** activity within the application (calling external APIs) and is crucial for diagnosing external network issues:\r\n\r\n* **`http_client_connection_duration_seconds`:** The duration required to **successfully establish the TCP connection and handshake** (often includes retries if issues exist).\r\n* **`http_client_request_duration_seconds_sum`:** The total duration of sending the request, server processing, and receiving the response (after the connection is established).\r\n* **DNS Lookup Duration:** The time spent on DNS resolution.\r\n* **Idle/Active HTTP Connections:** Displaying the status of active and idle connections in the Client's **Connection Pool**.\r\n\r\n### 4. Database Performance (EF Core 🦄)\r\n\r\n* **EF Core Concurrency Failures:** Displays concurrency errors in EF Core (such as `DbUpdateConcurrencyException`).\r\n\r\n---\r\n\r\n## ⚠️ Connection Troubleshooting Guide\r\n\r\nOne of the challenges of HTTP Client monitoring is the difference between **connection time** and **request time**. If you encounter the following scenario:\r\n\r\n> **Connection Duration Metric ($\\approx$ 3 minutes) is very high, while Request Duration ($\\approx$ 1 second) is fast.**\r\n\r\nThis indicates that **the problem is in the Connection Establishment phase, not the destination server's processing speed.** Most likely:\r\n\r\n1.  **High Connection Timeout:** Your client's **Connection Timeout** setting is very high (e.g., 3 minutes). If a network or DNS issue occurs, the client waits until the end of this period before succeeding or retrying.\r\n2.  **Failed Connection Pool Attempts:** Your Connection Pool had problematic connections that were eventually cleaned up or replaced by the system after a long duration, and these long times were recorded in the maximum or high percentile (P99) metric.\r\n\r\n**For troubleshooting, closely examine the DNS Lookup and Idle/Active Connections panels.**","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-09-26T09:15:08.000Z","updatedAt":"2025-09-29T15:03:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24163"},{"rel":"revisions","href":"/dashboards/24163/revisions"},{"rel":"revision","href":"/dashboards/24163/revisions/1"},{"rel":"download","href":"/dashboards/24163/revisions/1/download"},{"rel":"org","href":"/orgs/hasanxdev"},{"rel":"images","href":"/dashboards/24163/images"},{"rel":"thumbnails","href":"/dashboards/24163/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23179,"status":1,"statusCode":"active","orgId":458139,"orgSlug":"petabridge","orgName":"petabridge","slug":"dotnet-runtime-metrics","downloads":1019,"revisionId":38722,"revision":2,"name":"Dotnet Runtime Metrics","description":"Runtime metrics for .NET applications using either .NET 9+ built-in metrics or OpenTelemetry.Instrumentation.Runtime package (for .NET 6/7/8). CPU metrics require .NET 9+.","readme":"# .NET Runtime Dashboard\r\n\r\nThis Grafana dashboard provides comprehensive monitoring of .NET Core runtime metrics, giving you deep insights into your application's performance, memory management, threading, and exception handling.\r\n\r\n## Source Code\r\n\r\nSource code for this dashboard is available at: [https://github.com/petabridge/dotnet-grafana-dashboards/blob/master/runtime/README.md](https://github.com/petabridge/dotnet-grafana-dashboards/blob/master/runtime/README.md)\r\n\r\n## Features\r\n\r\n- **Exception Monitoring**: Track both handled and unhandled exceptions\r\n- **Garbage Collection**: Monitor GC performance, heap sizes, and collection frequencies\r\n- **JIT Compilation**: Track JIT compilation times and methods\r\n- **ThreadPool**: Monitor thread pool utilization and CPU usage\r\n- **Assembly Loading**: Track loaded assemblies and loading times\r\n- **Memory Usage**: Monitor detailed memory metrics across different generations\r\n\r\n## Prerequisites\r\n\r\nTo use this dashboard, you need to have the following [`OpenTelemetry.Instrumentation.Runtime`](https://www.nuget.org/packages/OpenTelemetry.Instrumentation.Runtime) package installed in your .NET application:\r\n\r\n```xml\r\n<ItemGroup>\r\n    <PackageReference Include=\"OpenTelemetry.Instrumentation.Runtime\" Version=\"{version}\" />\r\n</ItemGroup>\r\n```\r\n\r\nThis dashboard is designed to work with Prometheus and the OTLP Exporter. \r\n\r\n```csharp\r\nvar builder = WebApplication.CreateBuilder(args);\r\n\r\nbuilder.Services.AddOpenTelemetry()\r\n    .WithMetrics(metrics =>\r\n    {\r\n        metrics\r\n            // OTHER METRICS SOURCES\r\n            .AddRuntimeInstrumentation();\r\n            \r\n    })\r\n    // traces, et al\r\n    .UseOtlpExporter();\r\n\r\nvar app = builder.Build();\r\n```\r\n\r\n## Installation\r\n\r\n1. Import the dashboard into Grafana from Grafana Cloud: [https://grafana.com/grafana/dashboards/23179](https://grafana.com/grafana/dashboards/23179)\r\n\r\n2. Import the dashboard into Grafana as a JSON file:\r\n   - Open Grafana\r\n   - Navigate to Dashboards > Import\r\n   - Click \"Upload JSON file\"\r\n   - Select the [`dotnet-runtime-dashboard.json`](dotnet-runtime-dashboard.json) file\r\n   - Select your Prometheus data source\r\n   - Click \"Import\"\r\n\r\n## Metrics Explanation\r\n\r\n### Exception Metrics\r\n- Total exceptions thrown\r\n- Exception types and frequencies\r\n- Exception rate over time\r\n\r\n### GC Metrics\r\n- GC collection counts by generation\r\n- GC pause times\r\n- Heap sizes\r\n- Memory allocation rates\r\n\r\n### JIT Metrics\r\n- Methods JIT compiled\r\n- JIT compilation times\r\n- Assembly loading metrics\r\n\r\n### ThreadPool Metrics\r\n- Thread pool queue length\r\n- Thread count\r\n- Thread pool completion rate\r\n- CPU usage per 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GitHub](https://github.com/dotnet/dotnet-monitor/issues).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-08-03T15:46:54.000Z","updatedAt":"2023-08-03T20:05:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19297"},{"rel":"revisions","href":"/dashboards/19297/revisions"},{"rel":"revision","href":"/dashboards/19297/revisions/1"},{"rel":"download","href":"/dashboards/19297/revisions/1/download"},{"rel":"org","href":"/orgs/poppastring"},{"rel":"images","href":"/dashboards/19297/images"},{"rel":"thumbnails","href":"/dashboards/19297/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18344,"status":1,"statusCode":"active","orgId":234564,"orgSlug":"xuligah","orgName":"xuligah","slug":"dotnet-monitor-new","downloads":738,"revisionId":28163,"revision":1,"name":"dotnet-monitor-new","description":"Dotnet 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At the same time, in order to better monitor the running status of the service, Dubbo also provides monitoring of the status of core components, such as Dubbo application information, thread pool information, and indicator data interacting with the three centers.","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-08-03T14:35:33.000Z","updatedAt":"2023-08-03T14:39:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19294"},{"rel":"revisions","href":"/dashboards/19294/revisions"},{"rel":"revision","href":"/dashboards/19294/revisions/1"},{"rel":"download","href":"/dashboards/19294/revisions/1/download"},{"rel":"org","href":"/orgs/songxiaosheng"},{"rel":"images","href":"/dashboards/19294/images"},{"rel":"thumbnails","href":"/dashboards/19294/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16413,"status":1,"statusCode":"active","orgId":564263,"orgSlug":"grafanaworkshop2","orgName":"GrafanaWorkshop2","slug":"dull-dashboard","downloads":295,"revisionId":30327,"revision":4,"name":"dull dashboard","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus, TestData DB","privacy":"public","createdAt":"2022-06-08T19:34:34.000Z","updatedAt":"2023-10-12T15:13:50.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16413"},{"rel":"revisions","href":"/dashboards/16413/revisions"},{"rel":"revision","href":"/dashboards/16413/revisions/4"},{"rel":"download","href":"/dashboards/16413/revisions/4/download"},{"rel":"org","href":"/orgs/grafanaworkshop2"},{"rel":"images","href":"/dashboards/16413/images"},{"rel":"thumbnails","href":"/dashboards/16413/thumbnails"}],"datasourceSlugs":["loki","prometheus","testdata"]},{"id":19490,"status":1,"statusCode":"active","orgId":872545,"orgSlug":"clementduveau","orgName":"Clément Duveau","slug":"dull-dashboard-template","downloads":281,"revisionId":29961,"revision":2,"name":"dull dashboard - Template","description":"This dashboard contains panels with fake data. 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It exposes a number of different operating metrics to track the performance of the tool and its environment.\r\n\r\nThe [dump1090exporter](https://github.com/claws/dump1090-exporter) collects statistics from dump1090 and exposes it to the [Prometheus.io](https://prometheus.io/) monitoring server for aggregation and later visualisation.\r\n\r\nThis dashboard displays some of the dump190 metrics that get exposed to Prometheus by the dump1090exporter tool. ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-10-28T23:03:29.000Z","updatedAt":"2018-10-17T13:39:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/768"},{"rel":"revisions","href":"/dashboards/768/revisions"},{"rel":"revision","href":"/dashboards/768/revisions/4"},{"rel":"download","href":"/dashboards/768/revisions/4/download"},{"rel":"org","href":"/orgs/clawsicus"},{"rel":"images","href":"/dashboards/768/images"},{"rel":"thumbnails","href":"/dashboards/768/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17355,"status":1,"statusCode":"active","orgId":737068,"orgSlug":"qiunet","orgName":"qiunet","slug":"duoduo-dashboard","downloads":269,"revisionId":26666,"revision":1,"name":"DuoDuo.Dashboard","description":"Dashboard for Micrometer instrumented applications (DuoDuo)","readme":"给DuoDuo使用. 也可以下载后自定义!","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-05T05:05:26.000Z","updatedAt":"2022-11-05T05:07:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17355"},{"rel":"revisions","href":"/dashboards/17355/revisions"},{"rel":"revision","href":"/dashboards/17355/revisions/1"},{"rel":"download","href":"/dashboards/17355/revisions/1/download"},{"rel":"org","href":"/orgs/qiunet"},{"rel":"images","href":"/dashboards/17355/images"},{"rel":"thumbnails","href":"/dashboards/17355/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21384,"status":1,"statusCode":"active","orgId":771766,"orgSlug":"cumulopro","orgName":"cumulopro","slug":"dymension-validator","downloads":262,"revisionId":33284,"revision":1,"name":"Dymension Validator","description":"This Grafana dashboard provides a comprehensive and detailed view of the state and activity of nodes within the Dymension consensus system, allowing network administrators and developers to monitor various critical aspects of the infrastructure in real time. The interface is designed to facilitate the tracking of node synchronization performance and efficiency, as well as the participation and voting power of validators within the network. Through this panel, users can quickly identify potential issues or confirm the proper functioning of the system, ensuring optimal operation and network security for Dymension's blockchain. This resource is essential for maintaining transparency and effectiveness in upholding the integrity of the blockchain.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-21T14:26:27.000Z","updatedAt":"2024-06-21T14:42:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21384"},{"rel":"revisions","href":"/dashboards/21384/revisions"},{"rel":"revision","href":"/dashboards/21384/revisions/1"},{"rel":"download","href":"/dashboards/21384/revisions/1/download"},{"rel":"org","href":"/orgs/cumulopro"},{"rel":"images","href":"/dashboards/21384/images"},{"rel":"thumbnails","href":"/dashboards/21384/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":79,"status":1,"statusCode":"active","orgId":21361,"orgSlug":"brianl","orgName":"brianl","slug":"dynamic-dashboard","downloads":5273,"revisionId":283,"revision":3,"name":"Dynamic Dashboard","description":"InfluxDB dashboards for telegraf metrics.","readme":"Dynamic dashboard for Host metrics from Telegraf: \r\n  - cpu\r\n  - disk\r\n  - disk.io\r\n  - processes\r\n  - swap memory usage\r\n  - memory usage\r\n  - system load and uptime\r\n  - network interface usage\r\n  -  inodes usage\r\n\r\nMake it better :\r\n\r\nFor feedback and ideas to improve this dashboard please open an issue here:  https://github.com/lbtm/grafana_dashboard/issues","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2016-06-27T18:27:51.000Z","updatedAt":"2016-09-22T23:25:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/79"},{"rel":"revisions","href":"/dashboards/79/revisions"},{"rel":"revision","href":"/dashboards/79/revisions/3"},{"rel":"download","href":"/dashboards/79/revisions/3/download"},{"rel":"org","href":"/orgs/brianl"},{"rel":"images","href":"/dashboards/79/images"},{"rel":"thumbnails","href":"/dashboards/79/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24847,"status":1,"statusCode":"active","orgId":973883,"orgSlug":"juanicabanas58","orgName":"juanicabanas58","slug":"my-new-grafana-dynamic-dashboard","downloads":16,"revisionId":39868,"revision":1,"name":"Dynamic Dashboards Layout","description":"New dynamic dashboard layout with best practices","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2026-02-10T13:35:19.000Z","updatedAt":"2026-02-10T13:53:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24847"},{"rel":"revisions","href":"/dashboards/24847/revisions"},{"rel":"revision","href":"/dashboards/24847/revisions/1"},{"rel":"download","href":"/dashboards/24847/revisions/1/download"},{"rel":"org","href":"/orgs/juanicabanas58"},{"rel":"images","href":"/dashboards/24847/images"},{"rel":"thumbnails","href":"/dashboards/24847/thumbnails"}]},{"id":11742,"status":1,"statusCode":"active","orgId":350607,"orgSlug":"kenju","orgName":"kenju","slug":"dynamodb-accelerator-dax","downloads":628,"revisionId":16626,"revision":1,"name":"DynamoDB Accelerator (DAX)","description":"A dashboard template for AWS DynamoDB Accelerator (DAX) monitoring","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource, CloudWatch","privacy":"public","createdAt":"2020-02-18T02:19:59.000Z","updatedAt":"2020-02-18T02:24:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11742"},{"rel":"revisions","href":"/dashboards/11742/revisions"},{"rel":"revision","href":"/dashboards/11742/revisions/1"},{"rel":"download","href":"/dashboards/11742/revisions/1/download"},{"rel":"org","href":"/orgs/kenju"},{"rel":"images","href":"/dashboards/11742/images"},{"rel":"thumbnails","href":"/dashboards/11742/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource","cloudwatch"]},{"id":13259,"status":1,"statusCode":"active","orgId":292822,"orgSlug":"stephanieclosson","orgName":"Stephanie Closson","slug":"dynatrace-system-monitoring","downloads":573,"revisionId":19253,"revision":1,"name":"Dynatrace (System Monitoring)","description":"This dashboard is included with the dynatrace release","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Dynatrace","privacy":"public","createdAt":"2020-10-23T11:24:37.000Z","updatedAt":"2020-10-23T11:25:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13259"},{"rel":"revisions","href":"/dashboards/13259/revisions"},{"rel":"revision","href":"/dashboards/13259/revisions/1"},{"rel":"download","href":"/dashboards/13259/revisions/1/download"},{"rel":"org","href":"/orgs/stephanieclosson"},{"rel":"images","href":"/dashboards/13259/images"},{"rel":"thumbnails","href":"/dashboards/13259/thumbnails"}],"datasourceSlugs":["grafana-dynatrace-datasource"]},{"id":15958,"status":1,"statusCode":"active","orgId":122067,"orgSlug":"zkhcohen","orgName":"Zachary Cohen","slug":"dyson-prometheus-exporter","downloads":352,"revisionId":24255,"revision":3,"name":"Dyson Prometheus Exporter","description":"Dashboard for the Dyson Prometheus Exporter.","readme":"# Prometheus Exporter for Dyson Fans\r\n\r\nInspired by [Prometheus PVE Exporter](https://github.com/prometheus-pve/prometheus-pve-exporter) and [Dyson Graph](https://github.com/williampiv/dyson-graph), leveraging [Libdyson](https://github.com/shenxn/libdyson) for the API.\r\n\r\n---\r\n\r\nGithub URL: https://github.com/zkhcohen/prometheus-dyson-exporter\r\n\r\nDocker Hub URL: https://hub.docker.com/r/zkhcohen/prometheus-dyson-exporter\r\n\r\nGrafana Dashboards URL: https://grafana.com/grafana/dashboards/15958\r\n\r\n---\r\n\r\n### Installation Instructions:\r\n1. Clone [Libdyson](https://github.com/shenxn/libdyson).\r\n2. Run [get_devices.py](https://github.com/shenxn/libdyson/blob/main/get_devices.py) on the CLI in order to print out credentials for your Dyson device.\r\n3. Either create a devices.ini file containing the device information (example below), or pass the variables as environment variables via a docker-compose.yml file or on the CLI.\r\n4. Install the [Grafana dashboard](https://grafana.com/grafana/dashboards/15958).\r\n\r\n---\r\n## Example docker-compose.yml file (using devices.ini config file):\r\n```\r\n---\r\nversion: \"3.8\"\r\nservices:\r\n  prometheus-dyson-exporter:\r\n    image: zkhcohen/prometheus-dyson-exporter:latest\r\n    container_name: prometheus-dyson-exporter\r\n    ports:\r\n      - \"9672:9672\"\r\n    volumes:\r\n      - \"./devices.ini:/config/devices.ini\"\r\n    environment:\r\n      EXPORTER_PORT: \"9672\"\r\n      EXPORTER_LOG_LEVEL: \"INFO\"\r\n      CONFIG_PATH: \"/config/devices.ini\"\r\n    restart: always\r\n```\r\n\r\n## Example devices.ini config file:\r\n```\r\n[My Dyson Air Purifier]\r\ndyson_serial = F4P-US-PT338B32\r\ndyson_credential = ajds3AS+FPsidcQ8VxNmfJXHqFFNoBLaCaWRQTeTMnwVPhsH6rocz8UJ2puatCpszzvaQwYYL3mnsCqEgAGgc9X==\r\ndyson_device_type = 438\r\ndyson_ip = 10.0.10.2\r\n```\r\n---\r\n## Example docker-compose.yml file (using environment variables):\r\n```\r\n---\r\nversion: \"3.8\"\r\nservices:\r\n  prometheus-dyson-exporter:\r\n    image: zkhcohen/prometheus-dyson-exporter:latest\r\n    container_name: prometheus-dyson-exporter\r\n    ports:\r\n      - \"9672:9672\"\r\n    environment:\r\n      EXPORTER_PORT: \"9672\"\r\n      EXPORTER_LOG_LEVEL: \"INFO\"\r\n      CONFIG_PATH: \"/config/devices.ini\"\r\n      DYSON_SERIAL: \"F4P-US-PT338B32\"\r\n      DYSON_CREDENTIAL: \"ajds3AS+FPsidcQ8VxNmfJXHqFFNoBLaCaWRQTeTMnwVPhsH6rocz8UJ2puatCpszzvaQwYYL3mnsCqEgAGgc9X==\"\r\n      DYSON_DEVICE_TYPE: \"438\"\r\n      DYSON_IP: \"10.0.10.2\"\r\n    restart: always\r\n```\r\n---","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-03-21T04:29:20.000Z","updatedAt":"2022-03-25T22:58:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15958"},{"rel":"revisions","href":"/dashboards/15958/revisions"},{"rel":"revision","href":"/dashboards/15958/revisions/3"},{"rel":"download","href":"/dashboards/15958/revisions/3/download"},{"rel":"org","href":"/orgs/zkhcohen"},{"rel":"images","href":"/dashboards/15958/images"},{"rel":"thumbnails","href":"/dashboards/15958/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11179,"status":1,"statusCode":"active","orgId":281079,"orgSlug":"labsai","orgName":"LABS.AI","slug":"e-d-d-i","downloads":369,"revisionId":15604,"revision":1,"name":"E.D.D.I","description":"Grafana Dashboard for EDDI Chatbot Platform","readme":"This dashboard maps metrics being retrieved from <eddi-instance:port>/monitoring/prometheus\r\n\r\nProject Page: https://eddi.labs.ai\r\n\r\nAltered originally from this dashboard: https://grafana.com/grafana/dashboards/4701\r\n\r\nShared by differ.chat, improved by Are Almaas and Gregor 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Plane","description":"This dashboard graphs EKS Control Plane metrics as described in the EKS best practices guide: https://aws.github.io/aws-eks-best-practices/reliability/docs/controlplane/#monitor-control-plane-metrics. \r\n\r\nIt tracks API server activity, admission controller performance, client request latencies, and the etcd database size.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-02T19:35:39.000Z","updatedAt":"2024-06-04T02:44:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21192"},{"rel":"revisions","href":"/dashboards/21192/revisions"},{"rel":"revision","href":"/dashboards/21192/revisions/1"},{"rel":"download","href":"/dashboards/21192/revisions/1/download"},{"rel":"org","href":"/orgs/edgarsilva948"},{"rel":"images","href":"/dashboards/21192/images"},{"rel":"thumbnails","href":"/dashboards/21192/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16609,"status":1,"statusCode":"active","orgId":681039,"orgSlug":"luanluandehaobaoman","orgName":"luanluandehaobaoman","slug":"eks-cost","downloads":1293,"revisionId":25454,"revision":4,"name":"EKS cost","description":"EKS cost visualization.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Amazon Timestream","privacy":"public","createdAt":"2022-07-20T10:57:15.000Z","updatedAt":"2022-07-26T07:13:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16609"},{"rel":"revisions","href":"/dashboards/16609/revisions"},{"rel":"revision","href":"/dashboards/16609/revisions/4"},{"rel":"download","href":"/dashboards/16609/revisions/4/download"},{"rel":"org","href":"/orgs/luanluandehaobaoman"},{"rel":"images","href":"/dashboards/16609/images"},{"rel":"thumbnails","href":"/dashboards/16609/thumbnails"}],"datasourceSlugs":["grafana-timestream-datasource"]},{"id":17291,"status":1,"statusCode":"active","orgId":724048,"orgSlug":"awsobservability","orgName":"awsobservability","slug":"kubernetes-kubelet","downloads":494,"revisionId":26581,"revision":1,"name":"EKS Kubeletes","description":"Kubernetes / Kubelet","readme":"This dashboard is part of the [AWS Observability Accelerator](https://aws.amazon.com/blogs/mt/announcing-aws-observability-accelerator-to-configure-comprehensive-observability-for-amazon-eks/) and enables you to monitor EKS kubeletes based on Prometheus metrics.\r\n\r\nFor an automated end-to-end setup based on Terraform as well as to provide feedback or report an issue with the dashboard, please visit the [AWS Observability Accelerator GitHub repo](https://github.com/aws-observability/terraform-aws-observability-accelerator/issues).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-10-28T09:48:36.000Z","updatedAt":"2022-10-28T09:49:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17291"},{"rel":"revisions","href":"/dashboards/17291/revisions"},{"rel":"revision","href":"/dashboards/17291/revisions/1"},{"rel":"download","href":"/dashboards/17291/revisions/1/download"},{"rel":"org","href":"/orgs/awsobservability"},{"rel":"images","href":"/dashboards/17291/images"},{"rel":"thumbnails","href":"/dashboards/17291/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17292,"status":1,"statusCode":"active","orgId":724048,"orgSlug":"awsobservability","orgName":"awsobservability","slug":"node-exporter-nodes","downloads":2831,"revisionId":26582,"revision":1,"name":"EKS Node Exporter","description":"Node Exporter / Nodes","readme":"This dashboard is part of the [AWS Observability Accelerator](https://aws.amazon.com/blogs/mt/announcing-aws-observability-accelerator-to-configure-comprehensive-observability-for-amazon-eks/) and enables you to monitor EKS nodes based on Prometheus metrics from the Node Exporter.\r\n\r\nFor an automated end-to-end setup based on Terraform as well as to provide feedback or report an issue with the dashboard, please visit the [AWS Observability Accelerator GitHub repo](https://github.com/aws-observability/terraform-aws-observability-accelerator/issues).\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-10-28T09:50:13.000Z","updatedAt":"2022-10-28T10:31:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17292"},{"rel":"revisions","href":"/dashboards/17292/revisions"},{"rel":"revision","href":"/dashboards/17292/revisions/1"},{"rel":"download","href":"/dashboards/17292/revisions/1/download"},{"rel":"org","href":"/orgs/awsobservability"},{"rel":"images","href":"/dashboards/17292/images"},{"rel":"thumbnails","href":"/dashboards/17292/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24783,"status":1,"statusCode":"active","orgId":1465892,"orgSlug":"parrotbill","orgName":"lyon","slug":"eks-node-monitoring-agent-observability","downloads":62,"revisionId":39753,"revision":1,"name":"EKS Node Monitoring Agent Observability","description":"Comprehensive health monitoring for EKS nodes powered by the EKS Node Monitoring Agent and kubernetes-event-exporter. This dashboard tracks critical hardware, kernel, and network conditions that trigger Karpenter Node Auto-Repair (Disruption) to maintain cluster reliability and automate infrastructure recovery.","readme":"# EKS Node Monitoring Agent Observability\r\n\r\nThis dashboard provides comprehensive visibility into EKS Node health, specifically designed to monitor the **EKS Node Monitoring Agent** add-on. It correlates low-level system signals with **Karpenter's Node Auto-Repair** logic to provide a complete picture of cluster reliability.\r\n\r\n## Key Features\r\n\r\n- **AWS Health Integration:** Fully mapped to the [AWS EKS Node Health documentation](https://docs.aws.amazon.com/eks/latest/userguide/node-health.html).\r\n- **Auto-Repair Synergy:** Tracks events that trigger [Karpenter Node Auto-Repair](https://www.google.com/search?q=https://karpenter.sh/docs/concepts/disruption/%23node-auto-repair).\r\n- **5-Pillar Monitoring:** Categorized views for Accelerated Hardware (GPU/Neuron), Networking, Storage, Kernel, and Container Runtime.\r\n- **Noise-Reduced Alerts:** Optimized LogQL queries to distinguish between transient Events and critical Conditions.\r\n\r\n## Prerequisites\r\n\r\nTo use this dashboard, ensure your cluster has the following components installed:\r\n\r\n1. **EKS Node Monitoring Agent**: The core add-on providing node-level signals.\r\n2. **kubernetes-event-exporter**: Required to scrape K8s events and push them to Loki/Prometheus.\r\n3. **Grafana Loki**: Used as the primary data source for event logs.\r\n4. **Prometheus**: (Optional) For correlating system metrics with health events.\r\n5. **Karpenter**: To visualize automated disruption and repair actions.\r\n\r\n## Dashboard Sections\r\n\r\n- **Summary (Global Health):** High-level \"Healthy Node Ratio\" and active critical conditions.\r\n- **Accelerated Hardware:** Monitoring NVIDIA/Neuron XID and HBM errors.\r\n- **Networking & CNI:** Tracks Bandwidth, PPS, and IPAMD address exhaustion.\r\n- **Storage & I/O:** Visualizes EBS throughput limits and disk latency.\r\n- **Kernel & OS Stability:** Detects Soft Lockups, OOMs, and PID/File exhaustion.\r\n- **Runtime & Kubelet:** Tracks CRI failures and Pod/Service restart loops.\r\n\r\n## Setup Instructions\r\n\r\n1. Import this dashboard via JSON or ID.\r\n2. Select your **Loki** data source.\r\n3. Ensure your `kubernetes-event-exporter` is configured to include the field `reportingComponent: eks-node-monitoring-agent`.\r\n4. (Recommended) Set the **\"No Value\"** option in Stat panels to `0` or `Healthy` to maintain a clean UI when no errors are present.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-02-03T10:06:17.000Z","updatedAt":"2026-02-05T01:52:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24783"},{"rel":"revisions","href":"/dashboards/24783/revisions"},{"rel":"revision","href":"/dashboards/24783/revisions/1"},{"rel":"download","href":"/dashboards/24783/revisions/1/download"},{"rel":"org","href":"/orgs/parrotbill"},{"rel":"images","href":"/dashboards/24783/images"},{"rel":"thumbnails","href":"/dashboards/24783/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17289,"status":1,"statusCode":"active","orgId":724048,"orgSlug":"awsobservability","orgName":"awsobservability","slug":"kubernetes-compute-resources-node-pods","downloads":7018,"revisionId":26579,"revision":1,"name":"EKS Pods by Node","description":"Kubernetes / Compute Resources / Node (Pods)","readme":"This dashboard is part of the [AWS Observability Accelerator](https://aws.amazon.com/blogs/mt/announcing-aws-observability-accelerator-to-configure-comprehensive-observability-for-amazon-eks/) and enables you to monitor EKS pods by node based on Prometheus metrics.\r\n\r\nFor an automated end-to-end setup based on Terraform as well as to provide feedback or report an issue with the dashboard, please visit the [AWS Observability Accelerator GitHub repo](https://github.com/aws-observability/terraform-aws-observability-accelerator/issues).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-10-28T09:45:05.000Z","updatedAt":"2022-10-28T09:46:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17289"},{"rel":"revisions","href":"/dashboards/17289/revisions"},{"rel":"revision","href":"/dashboards/17289/revisions/1"},{"rel":"download","href":"/dashboards/17289/revisions/1/download"},{"rel":"org","href":"/orgs/awsobservability"},{"rel":"images","href":"/dashboards/17289/images"},{"rel":"thumbnails","href":"/dashboards/17289/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17290,"status":1,"statusCode":"active","orgId":724048,"orgSlug":"awsobservability","orgName":"awsobservability","slug":"kubernetes-compute-resources-workload","downloads":3647,"revisionId":26580,"revision":1,"name":"EKS Workloads","description":"Kubernetes / Compute Resources / Workload","readme":"This dashboard is part of the [AWS Observability Accelerator](https://aws.amazon.com/blogs/mt/announcing-aws-observability-accelerator-to-configure-comprehensive-observability-for-amazon-eks/) and enables you to monitor EKS workloads based on Prometheus metrics.\r\n\r\nFor an automated end-to-end setup based on Terraform as well as to provide feedback or report an issue with the dashboard, please visit the [AWS Observability Accelerator GitHub repo](https://github.com/aws-observability/terraform-aws-observability-accelerator/issues).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-10-28T09:47:13.000Z","updatedAt":"2022-10-28T09:48:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17290"},{"rel":"revisions","href":"/dashboards/17290/revisions"},{"rel":"revision","href":"/dashboards/17290/revisions/1"},{"rel":"download","href":"/dashboards/17290/revisions/1/download"},{"rel":"org","href":"/orgs/awsobservability"},{"rel":"images","href":"/dashboards/17290/images"},{"rel":"thumbnails","href":"/dashboards/17290/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17288,"status":1,"statusCode":"active","orgId":724048,"orgSlug":"awsobservability","orgName":"awsobservability","slug":"kubernetes-compute-resources-namespace-workloads","downloads":3755,"revisionId":26578,"revision":1,"name":"EKS Workloads by Namespace","description":"Kubernetes / Compute Resources / Namespace (Workloads)","readme":"This dashboard is part of the [AWS Observability Accelerator](https://aws.amazon.com/blogs/mt/announcing-aws-observability-accelerator-to-configure-comprehensive-observability-for-amazon-eks/) and enables you to monitor EKS workloads by namespace based on Prometheus metrics.\r\n\r\nFor an automated end-to-end setup based on Terraform as well as to provide feedback or report an issue with the dashboard, please visit the [AWS Observability Accelerator GitHub repo](https://github.com/aws-observability/terraform-aws-observability-accelerator/issues).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-10-28T09:41:45.000Z","updatedAt":"2022-10-28T09:44:25.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17288"},{"rel":"revisions","href":"/dashboards/17288/revisions"},{"rel":"revision","href":"/dashboards/17288/revisions/1"},{"rel":"download","href":"/dashboards/17288/revisions/1/download"},{"rel":"org","href":"/orgs/awsobservability"},{"rel":"images","href":"/dashboards/17288/images"},{"rel":"thumbnails","href":"/dashboards/17288/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19180,"status":1,"statusCode":"active","orgId":794907,"orgSlug":"ngohoa211","orgName":"ngohoa211","slug":"autograf-dashboard","downloads":375,"revisionId":29376,"revision":1,"name":"elastalert dashboard","description":"elastalert dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-17T07:47:22.000Z","updatedAt":"2023-07-17T07:49:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19180"},{"rel":"revisions","href":"/dashboards/19180/revisions"},{"rel":"revision","href":"/dashboards/19180/revisions/1"},{"rel":"download","href":"/dashboards/19180/revisions/1/download"},{"rel":"org","href":"/orgs/ngohoa211"},{"rel":"images","href":"/dashboards/19180/images"},{"rel":"thumbnails","href":"/dashboards/19180/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24144,"status":1,"statusCode":"active","orgId":1465892,"orgSlug":"parrotbill","orgName":"lyon","slug":"elastic-cloud-dashboard","downloads":150,"revisionId":38500,"revision":1,"name":"Elastic Cloud Dashboard","description":"Prometheus Elasticsearch Exporter with preconfigured dashboards.","readme":"Overview\r\n\r\nThis dashboard uses elasticsearch-exporter to collect metrics from Elastic Cloud or self-hosted Elasticsearch clusters.\r\nIt enables real-time visibility into search performance, cluster health, and resource utilization.\r\n\r\nFeatures\r\n\r\nCluster health: status, active nodes, unassigned shards\r\n\r\nIndex metrics: search/query latency, indexing throughput, request errors\r\n\r\nNode metrics: CPU, memory, JVM heap usage, GC activity\r\n\r\nAlerts for shard imbalance and high error rates\r\n\r\nRequirements\r\n\r\nRunning elasticsearch-exporter (Prometheus exporter for Elasticsearch)\r\n\r\nPrometheus data source configured in Grafana\r\n\r\nNetwork access from exporter to Elastic Cloud endpoint (with authentication)\r\n\r\nUsage\r\n\r\nDeploy elasticsearch-exporter with your Elastic Cloud endpoint and credentials.\r\n\r\nConfigure Prometheus to scrape the exporter.\r\n\r\nImport this dashboard JSON into Grafana.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-09-23T03:43:18.000Z","updatedAt":"2025-10-28T06:26:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24144"},{"rel":"revisions","href":"/dashboards/24144/revisions"},{"rel":"revision","href":"/dashboards/24144/revisions/1"},{"rel":"download","href":"/dashboards/24144/revisions/1/download"},{"rel":"org","href":"/orgs/parrotbill"},{"rel":"images","href":"/dashboards/24144/images"},{"rel":"thumbnails","href":"/dashboards/24144/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6483,"status":1,"statusCode":"active","orgId":158079,"orgSlug":"dcwangmit01","orgName":"dcwangmit01","slug":"elasticsearch","downloads":1725276,"revisionId":15754,"revision":2,"name":"ElasticSearch","description":"ElasticSearch cluster stats.\r\n\r\nRevision 1 of this dashboard is the same as the Infinity Dashboard Revision 4 (https://grafana.com/dashboards/2322)\r\n\r\nThis is a cleaned up copy with all control characters removed from the dashboard file.  When downloading version 4 of the original Infinity elasticsearch dashboard via curl, the resulting file is corrupted with a missing final curly brace.\r\n","readme":"ElasticSearch cluster stats.\r\n\r\nRevision 2 is an update to Revision 1 which allows the display of metrics from multiple elasticsearch-exporter instances, fixing a 'Multiple Series Error' problem (Thanks https://github.com/hangxie)\r\n\r\nRevision 1 of this dashboard is the same as the Infinity Dashboard Revision 4 (https://grafana.com/dashboards/2322)\r\n\r\nThis is a cleaned up copy with all control characters removed from the dashboard file.  When downloading version 4 of the original Infinity elasticsearch dashboard via curl, the resulting file is corrupted with a missing final curly brace.\r\n\r\nalerts.rules\r\n```\r\nALERT Elastic_UP\r\n  IF elasticsearch_up{job=\"elasticsearch\"} != 1\r\n  FOR 120s\r\n  LABELS { severity=\"alert\", value = \"{{$value}}\" }\r\n  ANNOTATIONS {\r\n    summary = \"Instance {{ $labels.instance }}: Elasticsearch instance status is not 1\",\r\n    description = \"This server's Elasticsearch instance status has a value of {{ $value }}.\",\r\n  }\r\n\r\nALERT Elastic_Cluster_Health_RED\r\n  IF elasticsearch_cluster_health_status{color=\"red\"}==1\r\n  FOR 300s\r\n  LABELS { severity=\"alert\", value = \"{{$value}}\" }\r\n  ANNOTATIONS {\r\n    summary = \"Instance {{ $labels.instance }}: not all primary and replica shards are allocated in elasticsearch cluster {{ $labels.cluster }}\",\r\n    description = \"Instance {{ $labels.instance }}: not all primary and replica shards are allocated in elasticsearch cluster {{ $labels.cluster }}.\",\r\n  }\r\n\r\nALERT Elastic_Cluster_Health_Yellow\r\n  IF elasticsearch_cluster_health_status{color=\"yellow\"}==1\r\n  FOR 300s\r\n  LABELS { severity=\"alert\", value = \"{{$value}}\" }\r\n  ANNOTATIONS {\r\n    summary = \"Instance {{ $labels.instance }}: not all primary and replica shards are allocated in elasticsearch cluster {{ $labels.cluster }}\",\r\n    description = \"Instance {{ $labels.instance }}: not all primary and replica shards are allocated in elasticsearch cluster {{ $labels.cluster }}.\",\r\n  }\r\n\r\nALERT Elasticsearch_JVM_Heap_Too_High\r\n IF elasticsearch_jvm_memory_used_bytes{area=\"heap\"} / elasticsearch_jvm_memory_max_bytes{area=\"heap\"} > 0.8\r\n FOR 15m\r\n LABELS { severity=\"alert\", value = \"{{$value}}\" }\r\n ANNOTATIONS {\r\n    summary = \"ElasticSearch node {{ $labels.instance }} heap usage is high\",\r\n    description = \"The heap in {{ $labels.instance }} is over 80% for 15m.\",\r\n  }\r\n\r\nALERT Elasticsearch_health_up\r\n IF elasticsearch_cluster_health_up !=1\r\n FOR 1m\r\n LABELS { severity=\"alert\", value = \"{{$value}}\" }\r\n ANNOTATIONS {\r\n    summary = \"ElasticSearch node: {{ $labels.instance }} last scrape of the ElasticSearch cluster health failed\",\r\n    description = \"ElasticSearch node: {{ $labels.instance }} last scrape of the ElasticSearch cluster health failed\",\r\n  }\r\n\r\nALERT Elasticsearch_Too_Few_Nodes_Running\r\n  IF elasticsearch_cluster_health_number_of_nodes < 3\r\n  FOR 5m\r\n  LABELS { severity=\"alert\", value = \"{{$value}}\" }\r\n  ANNOTATIONS {\r\n    description=\"There are only {{$value}} < 3 ElasticSearch nodes running\",\r\n    summary=\"ElasticSearch running on less than 3 nodes\"\r\n  }\r\n\r\nALERT Elasticsearch_Count_of_JVM_GC_Runs\r\n IF rate(elasticsearch_jvm_gc_collection_seconds_count{}[5m])>5\r\n FOR 60s\r\n LABELS { severity=\"warning\", value = \"{{$value}}\" }\r\n ANNOTATIONS {\r\n    summary = \"ElasticSearch node {{ $labels.instance }}: Count of JVM GC runs > 5 per sec and has a value of {{ $value }}\",\r\n    description = \"ElasticSearch node {{ $labels.instance }}: Count of JVM GC runs > 5 per sec and has a value of {{ $value }}\",\r\n  }\r\n\r\nALERT Elasticsearch_GC_Run_Time\r\n IF rate(elasticsearch_jvm_gc_collection_seconds_sum[5m])>0.3\r\n FOR 60s\r\n LABELS { severity=\"warning\", value = \"{{$value}}\" }\r\n ANNOTATIONS {\r\n    summary = \"ElasticSearch node {{ $labels.instance }}: GC run time in seconds > 0.3 sec and has a value of {{ $value }}\",\r\n    description = \"ElasticSearch node {{ $labels.instance }}: GC run time in seconds > 0.3 sec and has a value of {{ $value }}\",\r\n  }\r\n\r\nALERT Elasticsearch_json_parse_failures\r\n IF elasticsearch_cluster_health_json_parse_failures>0\r\n FOR 60s\r\n LABELS { severity=\"warning\", value = \"{{$value}}\" }\r\n ANNOTATIONS {\r\n    summary = \"ElasticSearch node {{ $labels.instance }}: json parse failures > 0 and has a value of {{ $value }}\",\r\n    description = \"ElasticSearch node {{ $labels.instance }}: json parse failures > 0 and has a value of {{ $value }}\",\r\n  }\r\n\r\n\r\nALERT Elasticsearch_breakers_tripped\r\n IF rate(elasticsearch_breakers_tripped{}[5m])>0\r\n FOR 60s\r\n LABELS { severity=\"warning\", value = \"{{$value}}\" }\r\n ANNOTATIONS {\r\n    summary = \"ElasticSearch node {{ $labels.instance }}: breakers tripped > 0 and has a value of {{ $value }}\",\r\n    description = \"ElasticSearch node {{ $labels.instance }}: breakers tripped > 0 and has a value of {{ $value }}\",\r\n  }\r\n\r\nALERT Elasticsearch_health_timed_out\r\n IF elasticsearch_cluster_health_timed_out>0\r\n FOR 60s\r\n LABELS { severity=\"warning\", value = \"{{$value}}\" }\r\n ANNOTATIONS {\r\n    summary = \"ElasticSearch node {{ $labels.instance }}: Number of cluster health checks timed out > 0 and has a value of {{ $value }}\",\r\n    description = \"ElasticSearch node {{ $labels.instance }}: Number of cluster health checks timed out > 0 and has a value of {{ $value }}\",\r\n  }\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-06-12T22:23:00.000Z","updatedAt":"2019-11-25T22:30:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":3,"reviewsAvgRating":4.33,"links":[{"rel":"self","href":"/dashboards/6483"},{"rel":"revisions","href":"/dashboards/6483/revisions"},{"rel":"revision","href":"/dashboards/6483/revisions/2"},{"rel":"download","href":"/dashboards/6483/revisions/2/download"},{"rel":"org","href":"/orgs/dcwangmit01"},{"rel":"images","href":"/dashboards/6483/images"},{"rel":"thumbnails","href":"/dashboards/6483/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":266,"status":1,"statusCode":"active","orgId":24863,"orgSlug":"vvanholl","orgName":"Vincent VAN HOLLEBEKE","slug":"elasticsearch","downloads":1358300,"revisionId":3509,"revision":4,"name":"ElasticSearch","description":"DIsplay ElasticSearch key metrics from Prometheus","readme":"You'll need first to install the Prometheus exporter plugin for ElasticSearch to run this dashboard.\r\n\r\nGet more information there : [there](https://github.com/vvanholl/elasticsearch-prometheus-exporter)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-08-02T21:17:32.000Z","updatedAt":"2017-07-09T19:50:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/266"},{"rel":"revisions","href":"/dashboards/266/revisions"},{"rel":"revision","href":"/dashboards/266/revisions/4"},{"rel":"download","href":"/dashboards/266/revisions/4/download"},{"rel":"org","href":"/orgs/vvanholl"},{"rel":"images","href":"/dashboards/266/images"},{"rel":"thumbnails","href":"/dashboards/266/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2322,"status":1,"statusCode":"active","orgId":63114,"orgSlug":"infinity","orgName":"infinity","slug":"elasticsearch","downloads":97898,"revisionId":7280,"revision":4,"name":"ElasticSearch","description":"ElasticSearch cluster stats","readme":"#### You will need the Prometheus exporter plugin for ElasticSearch ( https://github.com/justwatchcom/elasticsearch_exporter ) to run this dashboard\r\n\r\n### HOW TO make elasticsearch_exporter on centos-7:\r\n```sh\r\nyum  -y install golang\r\nGOPATH=/usr/local go get -u github.com/justwatchcom/elasticsearch_exporter\r\n```\r\n### RUN:\r\n```sh\r\ncat << EOF > /etc/systemd/system/elasticsearch_exporter.service\r\n[Unit]\r\nDescription=Prometheus elasticsearch_exporter\r\nAfter=local-fs.target network-online.target network.target\r\nWants=local-fs.target network-online.target network.target\r\n\r\n[Service]\r\nUser=root\r\nNice=10\r\nExecStart = /usr/local/bin/elasticsearch_exporter -es.all -es.indices -es.timeout 20s\r\nExecStop= /usr/bin/killall elasticsearch_exporter\r\n\r\n[Install]\r\nWantedBy=default.target\r\nEOF\r\n\r\nsystemctl daemon-reload\r\nsystemctl enable elasticsearch_exporter.service\r\nsystemctl start  elasticsearch_exporter.service\r\n```\r\n\r\n### Exampe config for prometheus.yml:\r\n```sh\r\n  - job_name: elasticsearch\r\n    scrape_interval: 60s\r\n    scrape_timeout:  30s\r\n    metrics_path: \"/metrics\"\r\n    static_configs:\r\n    - targets:\r\n      - elastic2.test.lan:9108\r\n      - elastic-log2.prod.lan:9108\r\n      labels:\r\n        service: elasticsearch\r\n    relabel_configs:\r\n    - source_labels: [__address__]\r\n      regex: '(.*)\\:9108'\r\n      target_label:  'instance'\r\n      replacement:   '$1'\r\n    - source_labels: [__address__]\r\n      regex:         '.*\\.(.*)\\.lan.*'\r\n      target_label:  'environment'\r\n      replacement:   '$1'\r\n```\r\n### Exampe config for  prometheus alerts.rules:\r\n```sh\r\nALERT Elastic_UP\r\n  IF elasticsearch_up{job=\"elasticsearch\"} != 1\r\n  FOR 120s\r\n  LABELS { severity=\"alert\", value = \"{{$value}}\" }\r\n  ANNOTATIONS {\r\n    summary = \"Instance {{ $labels.instance }}: Elasticsearch instance status is not 1\",\r\n    description = \"This server's Elasticsearch instance status has a value of {{ $value }}.\",\r\n  }\r\n\r\nALERT Elastic_Cluster_Health_RED\r\n  IF elasticsearch_cluster_health_status{color=\"red\"}==1\r\n  FOR 300s\r\n  LABELS { severity=\"alert\", value = \"{{$value}}\" }\r\n  ANNOTATIONS {\r\n    summary = \"Instance {{ $labels.instance }}: not all primary and replica shards are allocated in elasticsearch cluster {{ $labels.cluster }}\",\r\n    description = \"Instance {{ $labels.instance }}: not all primary and replica shards are allocated in elasticsearch cluster {{ $labels.cluster }}.\",\r\n  }\r\n\r\nALERT Elastic_Cluster_Health_Yellow\r\n  IF elasticsearch_cluster_health_status{color=\"yellow\"}==1\r\n  FOR 300s\r\n  LABELS { severity=\"alert\", value = \"{{$value}}\" }\r\n  ANNOTATIONS {\r\n    summary = \"Instance {{ $labels.instance }}: not all primary and replica shards are allocated in elasticsearch cluster {{ $labels.cluster }}\",\r\n    description = \"Instance {{ $labels.instance }}: not all primary and replica shards are allocated in elasticsearch cluster {{ $labels.cluster }}.\",\r\n  }\r\n\r\nALERT Elasticsearch_JVM_Heap_Too_High\r\n IF elasticsearch_jvm_memory_used_bytes{area=\"heap\"} / elasticsearch_jvm_memory_max_bytes{area=\"heap\"} > 0.8\r\n FOR 15m\r\n LABELS { severity=\"alert\", value = \"{{$value}}\" }\r\n ANNOTATIONS {\r\n    summary = \"ElasticSearch node {{ $labels.instance }} heap usage is high\",\r\n    description = \"The heap in {{ $labels.instance }} is over 80% for 15m.\",\r\n  }\r\n\r\nALERT Elasticsearch_health_up\r\n IF elasticsearch_cluster_health_up !=1\r\n FOR 1m\r\n LABELS { severity=\"alert\", value = \"{{$value}}\" }\r\n ANNOTATIONS {\r\n    summary = \"ElasticSearch node: {{ $labels.instance }} last scrape of the ElasticSearch cluster health failed\",\r\n    description = \"ElasticSearch node: {{ $labels.instance }} last scrape of the ElasticSearch cluster health failed\",\r\n  }\r\n\r\nALERT Elasticsearch_Too_Few_Nodes_Running\r\n  IF elasticsearch_cluster_health_number_of_nodes < 3\r\n  FOR 5m\r\n  LABELS { severity=\"alert\", value = \"{{$value}}\" }\r\n  ANNOTATIONS {\r\n    description=\"There are only {{$value}} < 3 ElasticSearch nodes running\",\r\n    summary=\"ElasticSearch running on less than 3 nodes\"\r\n  }\r\n\r\nALERT Elasticsearch_Count_of_JVM_GC_Runs\r\n IF rate(elasticsearch_jvm_gc_collection_seconds_count{}[5m])>5\r\n FOR 60s\r\n LABELS { severity=\"warning\", value = \"{{$value}}\" }\r\n ANNOTATIONS {\r\n    summary = \"ElasticSearch node {{ $labels.instance }}: Count of JVM GC runs > 5 per sec and has a value of {{ $value }}\",\r\n    description = \"ElasticSearch node {{ $labels.instance }}: Count of JVM GC runs > 5 per sec and has a value of {{ $value }}\",\r\n  }\r\n\r\nALERT Elasticsearch_GC_Run_Time\r\n IF rate(elasticsearch_jvm_gc_collection_seconds_sum[5m])>0.3\r\n FOR 60s\r\n LABELS { severity=\"warning\", value = \"{{$value}}\" }\r\n ANNOTATIONS {\r\n    summary = \"ElasticSearch node {{ $labels.instance }}: GC run time in seconds > 0.3 sec and has a value of {{ $value }}\",\r\n    description = \"ElasticSearch node {{ $labels.instance }}: GC run time in seconds > 0.3 sec and has a value of {{ $value }}\",\r\n  }\r\n\r\nALERT Elasticsearch_json_parse_failures\r\n IF elasticsearch_cluster_health_json_parse_failures>0\r\n FOR 60s\r\n LABELS { severity=\"warning\", value = \"{{$value}}\" }\r\n ANNOTATIONS {\r\n    summary = \"ElasticSearch node {{ $labels.instance }}: json parse failures > 0 and has a value of {{ $value }}\",\r\n    description = \"ElasticSearch node {{ $labels.instance }}: json parse failures > 0 and has a value of {{ $value }}\",\r\n  }\r\n\r\n\r\nALERT Elasticsearch_breakers_tripped\r\n IF rate(elasticsearch_breakers_tripped{}[5m])>0\r\n FOR 60s\r\n LABELS { severity=\"warning\", value = \"{{$value}}\" }\r\n ANNOTATIONS {\r\n    summary = \"ElasticSearch node {{ $labels.instance }}: breakers tripped > 0 and has a value of {{ $value }}\",\r\n    description = \"ElasticSearch node {{ $labels.instance }}: breakers tripped > 0 and has a value of {{ $value }}\",\r\n  }\r\n\r\nALERT Elasticsearch_health_timed_out\r\n IF elasticsearch_cluster_health_timed_out>0\r\n FOR 60s\r\n LABELS { severity=\"warning\", value = \"{{$value}}\" }\r\n ANNOTATIONS {\r\n    summary = \"ElasticSearch node {{ $labels.instance }}: Number of cluster health checks timed out > 0 and has a value of {{ $value }}\",\r\n    description = \"ElasticSearch node {{ $labels.instance }}: Number of cluster health checks timed out > 0 and has a value of {{ $value }}\",\r\n  }\r\n\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-05-24T09:15:13.000Z","updatedAt":"2018-04-06T09:12:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":5,"reviewsAvgRating":3.8,"links":[{"rel":"self","href":"/dashboards/2322"},{"rel":"revisions","href":"/dashboards/2322/revisions"},{"rel":"revision","href":"/dashboards/2322/revisions/4"},{"rel":"download","href":"/dashboards/2322/revisions/4/download"},{"rel":"org","href":"/orgs/infinity"},{"rel":"images","href":"/dashboards/2322/images"},{"rel":"thumbnails","href":"/dashboards/2322/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9746,"status":1,"statusCode":"active","orgId":231499,"orgSlug":"gorynychdo","orgName":"Igor Sannikov","slug":"elasticsearch-example","downloads":47286,"revisionId":13567,"revision":1,"name":"ElasticSearch","description":"ElasticSearch cluster monitoring with ElasticSearch exporter","readme":"# ElasticSearch\n\nElasticSearch cluster monitoring with [ElasticSearch exporter](https://github.com/justwatchcom/elasticsearch_exporter)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-02-01T12:12:26.000Z","updatedAt":"2019-02-01T12:22:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/9746"},{"rel":"revisions","href":"/dashboards/9746/revisions"},{"rel":"revision","href":"/dashboards/9746/revisions/1"},{"rel":"download","href":"/dashboards/9746/revisions/1/download"},{"rel":"org","href":"/orgs/gorynychdo"},{"rel":"images","href":"/dashboards/9746/images"},{"rel":"thumbnails","href":"/dashboards/9746/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4358,"status":1,"statusCode":"active","orgId":113471,"orgSlug":"spexxter","orgName":"Kristian Jensen","slug":"elasticsearch","downloads":18858,"revisionId":5852,"revision":1,"name":"Elasticsearch","description":"Elasticsearch detailed dashboard","readme":"This dashboard requires elasticsearch_exporter(https://github.com/justwatchcom/elasticsearch_exporter) that can be run as a sidecar docker next to ES.\r\n\r\nHer is an example how to run the elasticsearch_exporter container using compose:\r\n```\r\nversion: '3.4'\r\nservices: \r\n  elasticsearch_exporter:\r\n    image: docker-registry.ecg.so/dk/docker-hub/justwatch/elasticsearch_exporter:1.0.2\r\n    command:\r\n      - '-es.uri=http://es_master:9200'\r\n      - '-es.all'\r\n      - '-es.indices'\r\n    ports:\r\n      - \"9108:9108\"\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-01-16T07:12:06.000Z","updatedAt":"2018-01-16T07:21:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4358"},{"rel":"revisions","href":"/dashboards/4358/revisions"},{"rel":"revision","href":"/dashboards/4358/revisions/1"},{"rel":"download","href":"/dashboards/4358/revisions/1/download"},{"rel":"org","href":"/orgs/spexxter"},{"rel":"images","href":"/dashboards/4358/images"},{"rel":"thumbnails","href":"/dashboards/4358/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7259,"status":1,"statusCode":"active","orgId":173972,"orgSlug":"kkbox","orgName":"KKBOX","slug":"elasticsearch","downloads":7576,"revisionId":9866,"revision":1,"name":"Elasticsearch","description":"Dashboard to view metrics of elasticsearch_exporter on each elasticsearch servers","readme":"This dashboard requires and work perfectly with [elasticsearch_exporter](https://github.com/justwatchcom/elasticsearch_exporter), It provides complete charts for all of the metrics, grouping related charts together by row and arranges charts based on their importance.\r\n\r\nGitHub: [KKBOX/grafana-elasticsearch-dashboard](https://github.com/KKBOX/grafana-elasticsearch-dashboard)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-31T04:42:12.000Z","updatedAt":"2018-08-01T08:02:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/7259"},{"rel":"revisions","href":"/dashboards/7259/revisions"},{"rel":"revision","href":"/dashboards/7259/revisions/1"},{"rel":"download","href":"/dashboards/7259/revisions/1/download"},{"rel":"org","href":"/orgs/kkbox"},{"rel":"images","href":"/dashboards/7259/images"},{"rel":"thumbnails","href":"/dashboards/7259/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5204,"status":1,"statusCode":"active","orgId":46363,"orgSlug":"daphneitec","orgName":"daphneitec","slug":"gtnx-shipment","downloads":3366,"revisionId":6923,"revision":1,"name":"Elasticsearch","description":"Logistics Shipment & PO Analysis","readme":"Logistics Shipment Tracking Dashboard","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2018-03-22T13:56:02.000Z","updatedAt":"2018-03-22T14:11:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/5204"},{"rel":"revisions","href":"/dashboards/5204/revisions"},{"rel":"revision","href":"/dashboards/5204/revisions/1"},{"rel":"download","href":"/dashboards/5204/revisions/1/download"},{"rel":"org","href":"/orgs/daphneitec"},{"rel":"images","href":"/dashboards/5204/images"},{"rel":"thumbnails","href":"/dashboards/5204/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":8553,"status":1,"statusCode":"active","orgId":203045,"orgSlug":"forthscale","orgName":"Forthscale","slug":"elasticsearch","downloads":1644,"revisionId":11730,"revision":1,"name":"Elasticsearch","description":"Display Elasticsearch key metrics from Telegraf","readme":"# Elasticsearch Dashboard\nDisplay Elasticsearch monitoring graph based on Influxdb/Telegraf collector stored in Elasticsearch\n\n(Based on [Vincent VAN HOLLEBEKE Prometheus dashboard](https://grafana.com/dashboards/266))\n\n## Node stats used\nBelow is list of rows in the dashboard and configuration required by the graphs in the row:\n##### Node Variable\n - `node_stats: os`\n\n###### Cluster\n - `cluster_health: indices`\n\n###### Shards\n - `cluster_health: indices`\n\n###### System\n - `node_stats: os`\n - `node_stats: fs`\n\n###### Network\n - `node_stats: process`\n - `node_stats: http`\n - `node_stats: transport`\n\n###### Documents and Latencies\n - `node_stats: indices`\n\n###### Caches\n - `node_stats: indices`\n\n###### Throttling\n - `node_stats: indices`\n\n###### JVM\n - `node_stats: jvm`","collectorType":"Telegraf","collectorConfig":"```\n[[inputs.elasticsearch]]\nservers = [\"http://elasticsearch:9200\"]\nhttp_timeout = \"5s\"\nlocal = false\n\ncluster_health = true\ncluster_health_level = \"indices\"\n\ncluster_stats = false\nnode_stats = [\"indices\", \"os\", \"jvm\", \"http\", \"fs\", \"process\", \"transport\"]\n```","collectorPluginList":"elasticsearch","datasource":"Elasticsearch","privacy":"public","createdAt":"2018-10-23T15:28:48.000Z","updatedAt":"2018-10-23T15:35:13.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8553"},{"rel":"revisions","href":"/dashboards/8553/revisions"},{"rel":"revision","href":"/dashboards/8553/revisions/1"},{"rel":"download","href":"/dashboards/8553/revisions/1/download"},{"rel":"org","href":"/orgs/forthscale"},{"rel":"images","href":"/dashboards/8553/images"},{"rel":"thumbnails","href":"/dashboards/8553/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":10507,"status":1,"statusCode":"active","orgId":262824,"orgSlug":"robertvojcik","orgName":"Robert Vojcik","slug":"elasticsearch","downloads":1162,"revisionId":16047,"revision":2,"name":"Elasticsearch","description":"","readme":"## Features\n* Retention Policies\n* Timeline for elasticsearch health status\n* Many important time and queue metrics \n* Multiservers/Multinodes graphs","collectorType":"Telegraf","collectorConfig":"```\n[[inputs.elasticsearch]]\n  servers = [\"http://127.0.0.1:9200\"]\n#\n#   ## Timeout for HTTP requests to the elastic search server(s)\n  http_timeout = \"9s\"\n#   \n#   ## When local is true (the default), the node will read only its own stats.\n#   ## Set local to false when you want to read the node stats from all nodes\n#   ## of the cluster.\n  local = true\n#   \n#   ## Set cluster_health to true when you want to also obtain cluster health stats\n  cluster_health = true\n#   \n#   ## Set cluster_stats to true when you want to also obtain cluster stats from the\n#   ## Master node.\n  cluster_stats = true\n\n```","collectorPluginList":"elasticsearch","datasource":"InfluxDB","privacy":"public","createdAt":"2019-07-10T15:27:05.000Z","updatedAt":"2019-12-17T08:25:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10507"},{"rel":"revisions","href":"/dashboards/10507/revisions"},{"rel":"revision","href":"/dashboards/10507/revisions/2"},{"rel":"download","href":"/dashboards/10507/revisions/2/download"},{"rel":"org","href":"/orgs/robertvojcik"},{"rel":"images","href":"/dashboards/10507/images"},{"rel":"thumbnails","href":"/dashboards/10507/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":4377,"status":1,"statusCode":"active","orgId":113592,"orgSlug":"cdn77com","orgName":"cdn77com","slug":"elasticsearch","downloads":810,"revisionId":5880,"revision":1,"name":"Elasticsearch","description":"Elasticsearch detailed dashboard with instance picker","readme":"Original dashboard (dashboards/4358) by Kristian Jensen\r\n\r\nThis dashboard requires [elasticsearch_exporter](https://github.com/justwatchcom/elasticsearch_exporter) that can be run as a sidecar docker next to ES.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-01-17T11:09:20.000Z","updatedAt":"2018-01-17T11:15:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4377"},{"rel":"revisions","href":"/dashboards/4377/revisions"},{"rel":"revision","href":"/dashboards/4377/revisions/1"},{"rel":"download","href":"/dashboards/4377/revisions/1/download"},{"rel":"org","href":"/orgs/cdn77com"},{"rel":"images","href":"/dashboards/4377/images"},{"rel":"thumbnails","href":"/dashboards/4377/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12811,"status":1,"statusCode":"active","orgId":407675,"orgSlug":"pablommr","orgName":"pablommr","slug":"elasticsearch","downloads":726,"revisionId":18480,"revision":1,"name":"Elasticsearch","description":"Dashboard for Elasticsearch monitoring from Zabbix datasource.","readme":"# Dashboard for Elasticsearch monitoring from Zabbix\n\n### Requirements:\n- [Zabbix datasource](https://grafana.com/grafana/plugins/alexanderzobnin-zabbix-app)  \n-  [Zabbix template for Elasticsearch](https://www.zabbix.com/integrations/elasticsearch)  \n- Your Zabbix hosts that will be monitoring Elasticsearch has been in a host group called \"***Elasticsearch***\" to the template variable to work","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2020-08-11T11:41:25.000Z","updatedAt":"2020-08-11T12:54:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/12811"},{"rel":"revisions","href":"/dashboards/12811/revisions"},{"rel":"revision","href":"/dashboards/12811/revisions/1"},{"rel":"download","href":"/dashboards/12811/revisions/1/download"},{"rel":"org","href":"/orgs/pablommr"},{"rel":"images","href":"/dashboards/12811/images"},{"rel":"thumbnails","href":"/dashboards/12811/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":11998,"status":1,"statusCode":"active","orgId":355858,"orgSlug":"downager","orgName":"relk","slug":"elasticsearch","downloads":514,"revisionId":17067,"revision":3,"name":"ElasticSearch","description":"ElasticSearch cluster stats","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-30T03:08:17.000Z","updatedAt":"2020-03-30T10:19:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/11998"},{"rel":"revisions","href":"/dashboards/11998/revisions"},{"rel":"revision","href":"/dashboards/11998/revisions/3"},{"rel":"download","href":"/dashboards/11998/revisions/3/download"},{"rel":"org","href":"/orgs/downager"},{"rel":"images","href":"/dashboards/11998/images"},{"rel":"thumbnails","href":"/dashboards/11998/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10901,"status":1,"statusCode":"active","orgId":292402,"orgSlug":"derekey","orgName":"derekey","slug":"elasticsearch","downloads":387,"revisionId":15231,"revision":1,"name":"Elasticsearch","description":"Logistics Shipment & PO 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stats.\n","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-12-28T12:43:00.000Z","updatedAt":"2022-12-28T12:50:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17724"},{"rel":"revisions","href":"/dashboards/17724/revisions"},{"rel":"revision","href":"/dashboards/17724/revisions/1"},{"rel":"download","href":"/dashboards/17724/revisions/1/download"},{"rel":"org","href":"/orgs/triolim"},{"rel":"images","href":"/dashboards/17724/images"},{"rel":"thumbnails","href":"/dashboards/17724/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24111,"status":1,"statusCode":"active","orgId":285936,"orgSlug":"arnaudlemaignen","orgName":"arnaudlemaignen","slug":"elasticsearch","downloads":208,"revisionId":38463,"revision":1,"name":"ElasticSearch","description":"ElasticSearch Overview","readme":"### [ElasticSearch](https://github.com/arnaudlemaignen/grafana-dashboards/tree/master/prometheus-ds/elasticsearch)\r\n\r\nThis dashboard needs the [elasticsearch exporter](https://github.com/prometheus-community/elasticsearch_exporter) and the [elasticsearch query exporter](https://github.com/braedon/prometheus-es-exporter) to be scraped.\r\n[![ElasticSearch](prometheus-ds/elasticsearch/elasticsearch-1.png)](https://github.com/arnaudlemaignen/grafana-dashboards/tree/master/prometheus-ds/elasticsearch)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-09-20T00:35:59.000Z","updatedAt":"2025-09-26T15:50:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24111"},{"rel":"revisions","href":"/dashboards/24111/revisions"},{"rel":"revision","href":"/dashboards/24111/revisions/1"},{"rel":"download","href":"/dashboards/24111/revisions/1/download"},{"rel":"org","href":"/orgs/arnaudlemaignen"},{"rel":"images","href":"/dashboards/24111/images"},{"rel":"thumbnails","href":"/dashboards/24111/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3254,"status":1,"statusCode":"active","orgId":78983,"orgSlug":"dmlurth","orgName":"dmlurth","slug":"elasticsearch-all","downloads":818,"revisionId":4487,"revision":1,"name":"Elasticsearch - all","description":"Graphs for all elasticsearch_exporter metrics","readme":"Queries assume prometheus.yml: `- job_name: 'elasticsearch'`","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-09-18T21:52:48.000Z","updatedAt":"2017-09-19T17:30:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3254"},{"rel":"revisions","href":"/dashboards/3254/revisions"},{"rel":"revision","href":"/dashboards/3254/revisions/1"},{"rel":"download","href":"/dashboards/3254/revisions/1/download"},{"rel":"org","href":"/orgs/dmlurth"},{"rel":"images","href":"/dashboards/3254/images"},{"rel":"thumbnails","href":"/dashboards/3254/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13071,"status":1,"statusCode":"active","orgId":420293,"orgSlug":"huynhsamha","orgName":"huynhsamha","slug":"elasticsearch-cluster","downloads":12360,"revisionId":18942,"revision":1,"name":"Elasticsearch - Cluster","description":"Grafana Dashboards for Elasticsearch using Prometheus Datasource. Dashboard for Cluster Stats.","readme":"# grafana-dashboards-elasticsearch\n\nGrafana Dashboards for Elasticsearch using Prometheus Datasource.\n\nPlease visit my GitHub at [grafana-dashboards-elasticsearch](https://github.com/huynhsamha/grafana-dashboards-elasticsearch) for all dashboards related to this dashboard.\n\n## Requirements\n\n- **Datasource**: [Prometheus](https://prometheus.io/)\n- **Exporter**: [Elasticsearch Exporter](https://github.com/justwatchcom/elasticsearch_exporter)\n\n## Quickstart\n\nMy dashboards require **Prometheus** Datasource for _mananging metrics_, and **Elasticsearch Exporter** for _crawling metrics_ from Elasticsearch Cluster and _exposing_ these metrics. Prometheus is scheduled for _pulling metrics_ from Elasticsearch Exporter.\n\nI published my dashboards to [Grafana Dashboards](https://grafana.com/grafana/dashboards) so you can easily import these dashboards to your Grafana.\n\n- `13071`: [Dashboard for Elasticsearch Cluster Stats](https://grafana.com/grafana/dashboards/13071)\n- `13073`: [Dashboard for Elasticsearch Node Stats](https://grafana.com/grafana/dashboards/13073)\n- `13072`: [Dashboard for Elasticsearch Index Stats](https://grafana.com/grafana/dashboards/13072)\n- `13074`: [Dashboard for Elasticsearch History Stats](https://grafana.com/grafana/dashboards/13074)\n\nMany thanks to https://grafana.com/grafana/dashboards/6483 and https://grafana.com/grafana/dashboards/2322\n\n\n## Screenshots\n\nThis is a screenshot of this dashboard. To view all screenshots, you can visit my [GitHub](https://github.com/huynhsamha/grafana-dashboards-elasticsearch) for detail.\n\n![Cluster Stats Dashboard Screenshot](https://raw.githubusercontent.com/huynhsamha/grafana-dashboards-elasticsearch/master/screenshots/es-cluster-dashboard.jpg)\n\n\n## Changelogs\n\n- **30/09/2020**: first release with 4 dashboards, including [Cluster Level Stats](https://grafana.com/grafana/dashboards/13071), [Node Stats](https://grafana.com/grafana/dashboards/13073), [Index Stats](https://grafana.com/grafana/dashboards/13072) and [History Stats](https://grafana.com/grafana/dashboards/13074)\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-09-25T10:17:43.000Z","updatedAt":"2020-09-30T10:52:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13071"},{"rel":"revisions","href":"/dashboards/13071/revisions"},{"rel":"revision","href":"/dashboards/13071/revisions/1"},{"rel":"download","href":"/dashboards/13071/revisions/1/download"},{"rel":"org","href":"/orgs/huynhsamha"},{"rel":"images","href":"/dashboards/13071/images"},{"rel":"thumbnails","href":"/dashboards/13071/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3257,"status":1,"statusCode":"active","orgId":78983,"orgSlug":"dmlurth","orgName":"dmlurth","slug":"elasticsearch-cluster","downloads":551,"revisionId":4493,"revision":1,"name":"Elasticsearch - Cluster","description":"Graphs at the elasticsearch cluster level","readme":"Queries assume prometheus.yml: `- job_name: 'elasticsearch'`","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-09-19T00:13:51.000Z","updatedAt":"2017-09-19T00:15:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3257"},{"rel":"revisions","href":"/dashboards/3257/revisions"},{"rel":"revision","href":"/dashboards/3257/revisions/1"},{"rel":"download","href":"/dashboards/3257/revisions/1/download"},{"rel":"org","href":"/orgs/dmlurth"},{"rel":"images","href":"/dashboards/3257/images"},{"rel":"thumbnails","href":"/dashboards/3257/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3236,"status":1,"statusCode":"active","orgId":78983,"orgSlug":"dmlurth","orgName":"dmlurth","slug":"elasticsearch-exporter","downloads":1201,"revisionId":4466,"revision":1,"name":"Elasticsearch - Exporter","description":"elasticsearch_exporter - process, go, http stats","readme":"Queries assume prometheus.yml: `- job_name: 'elasticsearch'`","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-09-15T19:27:26.000Z","updatedAt":"2017-09-15T19:33:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3236"},{"rel":"revisions","href":"/dashboards/3236/revisions"},{"rel":"revision","href":"/dashboards/3236/revisions/1"},{"rel":"download","href":"/dashboards/3236/revisions/1/download"},{"rel":"org","href":"/orgs/dmlurth"},{"rel":"images","href":"/dashboards/3236/images"},{"rel":"thumbnails","href":"/dashboards/3236/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13074,"status":1,"statusCode":"active","orgId":420293,"orgSlug":"huynhsamha","orgName":"huynhsamha","slug":"elasticsearch-history-stats","downloads":3088,"revisionId":18945,"revision":1,"name":"Elasticsearch - History Stats","description":"Grafana Dashboards for Elasticsearch using Prometheus Datasource. Dashboard for History Stats.","readme":"# grafana-dashboards-elasticsearch\n\nGrafana Dashboards for Elasticsearch using Prometheus Datasource.\n\nPlease visit my GitHub at [grafana-dashboards-elasticsearch](https://github.com/huynhsamha/grafana-dashboards-elasticsearch) for all dashboards related to this dashboard.\n\n## Requirements\n\n- **Datasource**: [Prometheus](https://prometheus.io/)\n- **Exporter**: [Elasticsearch Exporter](https://github.com/justwatchcom/elasticsearch_exporter)\n\n## Quickstart\n\nMy dashboards require **Prometheus** Datasource for _mananging metrics_, and **Elasticsearch Exporter** for _crawling metrics_ from Elasticsearch Cluster and _exposing_ these metrics. Prometheus is scheduled for _pulling metrics_ from Elasticsearch Exporter.\n\nI published my dashboards to [Grafana Dashboards](https://grafana.com/grafana/dashboards) so you can easily import these dashboards to your Grafana.\n\n- `13071`: [Dashboard for Elasticsearch Cluster Stats](https://grafana.com/grafana/dashboards/13071)\n- `13073`: [Dashboard for Elasticsearch Node Stats](https://grafana.com/grafana/dashboards/13073)\n- `13072`: [Dashboard for Elasticsearch Index Stats](https://grafana.com/grafana/dashboards/13072)\n- `13074`: [Dashboard for Elasticsearch History Stats](https://grafana.com/grafana/dashboards/13074)\n\nMany thanks to https://grafana.com/grafana/dashboards/6483 and https://grafana.com/grafana/dashboards/2322\n\n\n## Screenshots\n\nThis is a screenshot of this dashboard. To view all screenshots, you can visit my [GitHub](https://github.com/huynhsamha/grafana-dashboards-elasticsearch) for detail.\n\n![Cluster Stats Dashboard Screenshot](https://raw.githubusercontent.com/huynhsamha/grafana-dashboards-elasticsearch/master/screenshots/es-history-stats-dashboard.jpg)\n\n\n## Changelogs\n\n- **30/09/2020**: first release with 4 dashboards, including [Cluster Level Stats](https://grafana.com/grafana/dashboards/13071), [Node Stats](https://grafana.com/grafana/dashboards/13073), [Index Stats](https://grafana.com/grafana/dashboards/13072) and [History Stats](https://grafana.com/grafana/dashboards/13074)\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-09-25T10:25:34.000Z","updatedAt":"2020-09-30T10:52:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13074"},{"rel":"revisions","href":"/dashboards/13074/revisions"},{"rel":"revision","href":"/dashboards/13074/revisions/1"},{"rel":"download","href":"/dashboards/13074/revisions/1/download"},{"rel":"org","href":"/orgs/huynhsamha"},{"rel":"images","href":"/dashboards/13074/images"},{"rel":"thumbnails","href":"/dashboards/13074/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13072,"status":1,"statusCode":"active","orgId":420293,"orgSlug":"huynhsamha","orgName":"huynhsamha","slug":"elasticsearch-index-stats","downloads":4645,"revisionId":18943,"revision":1,"name":"Elasticsearch - Index Stats","description":"Grafana Dashboards for Elasticsearch using Prometheus Datasource. Dashboard for Index Stats.","readme":"# grafana-dashboards-elasticsearch\n\nGrafana Dashboards for Elasticsearch using Prometheus Datasource.\n\nPlease visit my GitHub at [grafana-dashboards-elasticsearch](https://github.com/huynhsamha/grafana-dashboards-elasticsearch) for all dashboards related to this dashboard.\n\n## Requirements\n\n- **Datasource**: [Prometheus](https://prometheus.io/)\n- **Exporter**: [Elasticsearch Exporter](https://github.com/justwatchcom/elasticsearch_exporter)\n\n## Quickstart\n\nMy dashboards require **Prometheus** Datasource for _mananging metrics_, and **Elasticsearch Exporter** for _crawling metrics_ from Elasticsearch Cluster and _exposing_ these metrics. Prometheus is scheduled for _pulling metrics_ from Elasticsearch Exporter.\n\nI published my dashboards to [Grafana Dashboards](https://grafana.com/grafana/dashboards) so you can easily import these dashboards to your Grafana.\n\n- `13071`: [Dashboard for Elasticsearch Cluster Stats](https://grafana.com/grafana/dashboards/13071)\n- `13073`: [Dashboard for Elasticsearch Node Stats](https://grafana.com/grafana/dashboards/13073)\n- `13072`: [Dashboard for Elasticsearch Index Stats](https://grafana.com/grafana/dashboards/13072)\n- `13074`: [Dashboard for Elasticsearch History Stats](https://grafana.com/grafana/dashboards/13074)\n\nMany thanks to https://grafana.com/grafana/dashboards/6483 and https://grafana.com/grafana/dashboards/2322\n\n\n## Screenshots\n\nThis is a screenshot of this dashboard. To view all screenshots, you can visit my [GitHub](https://github.com/huynhsamha/grafana-dashboards-elasticsearch) for detail.\n\n![Cluster Stats Dashboard Screenshot](https://raw.githubusercontent.com/huynhsamha/grafana-dashboards-elasticsearch/master/screenshots/es-index-stats-dashboard.jpg)\n\n\n## Changelogs\n\n- **30/09/2020**: first release with 4 dashboards, including [Cluster Level Stats](https://grafana.com/grafana/dashboards/13071), [Node Stats](https://grafana.com/grafana/dashboards/13073), [Index Stats](https://grafana.com/grafana/dashboards/13072) and [History Stats](https://grafana.com/grafana/dashboards/13074)\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-09-25T10:23:57.000Z","updatedAt":"2020-09-30T10:52:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13072"},{"rel":"revisions","href":"/dashboards/13072/revisions"},{"rel":"revision","href":"/dashboards/13072/revisions/1"},{"rel":"download","href":"/dashboards/13072/revisions/1/download"},{"rel":"org","href":"/orgs/huynhsamha"},{"rel":"images","href":"/dashboards/13072/images"},{"rel":"thumbnails","href":"/dashboards/13072/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3263,"status":1,"statusCode":"active","orgId":78983,"orgSlug":"dmlurth","orgName":"dmlurth","slug":"elasticsearch-indices","downloads":715,"revisionId":4508,"revision":2,"name":"Elasticsearch - Indices","description":"Graphs for elasticsearch indices metrics","readme":"Queries assume prometheus.yml: `- job_name: 'elasticsearch'`","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-09-19T16:59:16.000Z","updatedAt":"2017-09-19T17:04:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3263"},{"rel":"revisions","href":"/dashboards/3263/revisions"},{"rel":"revision","href":"/dashboards/3263/revisions/2"},{"rel":"download","href":"/dashboards/3263/revisions/2/download"},{"rel":"org","href":"/orgs/dmlurth"},{"rel":"images","href":"/dashboards/3263/images"},{"rel":"thumbnails","href":"/dashboards/3263/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8715,"status":1,"statusCode":"active","orgId":73813,"orgSlug":"hugodopradofernandes","orgName":"hugodopradofernandes","slug":"elasticsearch-logs-from-fluentd","downloads":4041,"revisionId":14413,"revision":2,"name":"Elasticsearch - Logs from Fluentd","description":"Some basic statistics and message distribution across pods and namespaces","readme":"Some basic statistics and message distribution across pods and namespaces logs collected by Fluentd and sent to Elasticsearch. Can be also used for other sources","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2018-10-30T15:29:40.000Z","updatedAt":"2019-06-06T01:59:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8715"},{"rel":"revisions","href":"/dashboards/8715/revisions"},{"rel":"revision","href":"/dashboards/8715/revisions/2"},{"rel":"download","href":"/dashboards/8715/revisions/2/download"},{"rel":"org","href":"/orgs/hugodopradofernandes"},{"rel":"images","href":"/dashboards/8715/images"},{"rel":"thumbnails","href":"/dashboards/8715/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":13073,"status":1,"statusCode":"active","orgId":420293,"orgSlug":"huynhsamha","orgName":"huynhsamha","slug":"elasticsearch-node-stats","downloads":3582,"revisionId":18944,"revision":1,"name":"Elasticsearch - Node Stats","description":"Grafana Dashboards for Elasticsearch using Prometheus Datasource. Dashboard for Node Stats.","readme":"# grafana-dashboards-elasticsearch\n\nGrafana Dashboards for Elasticsearch using Prometheus Datasource.\n\nPlease visit my GitHub at [grafana-dashboards-elasticsearch](https://github.com/huynhsamha/grafana-dashboards-elasticsearch) for all dashboards related to this dashboard.\n\n## Requirements\n\n- **Datasource**: [Prometheus](https://prometheus.io/)\n- **Exporter**: [Elasticsearch Exporter](https://github.com/justwatchcom/elasticsearch_exporter)\n\n## Quickstart\n\nMy dashboards require **Prometheus** Datasource for _mananging metrics_, and **Elasticsearch Exporter** for _crawling metrics_ from Elasticsearch Cluster and _exposing_ these metrics. Prometheus is scheduled for _pulling metrics_ from Elasticsearch Exporter.\n\nI published my dashboards to [Grafana Dashboards](https://grafana.com/grafana/dashboards) so you can easily import these dashboards to your Grafana.\n\n- `13071`: [Dashboard for Elasticsearch Cluster Stats](https://grafana.com/grafana/dashboards/13071)\n- `13073`: [Dashboard for Elasticsearch Node Stats](https://grafana.com/grafana/dashboards/13073)\n- `13072`: [Dashboard for Elasticsearch Index Stats](https://grafana.com/grafana/dashboards/13072)\n- `13074`: [Dashboard for Elasticsearch History Stats](https://grafana.com/grafana/dashboards/13074)\n\nMany thanks to https://grafana.com/grafana/dashboards/6483 and https://grafana.com/grafana/dashboards/2322\n\n\n## Screenshots\n\nThis is a screenshot of this dashboard. To view all screenshots, you can visit my [GitHub](https://github.com/huynhsamha/grafana-dashboards-elasticsearch) for detail.\n\n![Cluster Stats Dashboard Screenshot](https://raw.githubusercontent.com/huynhsamha/grafana-dashboards-elasticsearch/master/screenshots/es-node-stats-dashboard.jpg)\n\n\n## Changelogs\n\n- **30/09/2020**: first release with 4 dashboards, including [Cluster Level Stats](https://grafana.com/grafana/dashboards/13071), [Node Stats](https://grafana.com/grafana/dashboards/13073), [Index Stats](https://grafana.com/grafana/dashboards/13072) and [History Stats](https://grafana.com/grafana/dashboards/13074)\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-09-25T10:24:59.000Z","updatedAt":"2020-09-30T10:52:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13073"},{"rel":"revisions","href":"/dashboards/13073/revisions"},{"rel":"revision","href":"/dashboards/13073/revisions/1"},{"rel":"download","href":"/dashboards/13073/revisions/1/download"},{"rel":"org","href":"/orgs/huynhsamha"},{"rel":"images","href":"/dashboards/13073/images"},{"rel":"thumbnails","href":"/dashboards/13073/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3266,"status":1,"statusCode":"active","orgId":78983,"orgSlug":"dmlurth","orgName":"dmlurth","slug":"elasticsearch-process","downloads":457,"revisionId":4514,"revision":1,"name":"Elasticsearch - 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Added a few extra graphs for disk and network transport\r\n - Changed some graphs from per min to per second to reflect the indexing rate better.\r\n\r\nThe below python or powershell script, will collect the metrics from the Elasticsearch API based on the interval set and publish the data to Elasticsearch.\r\n- Designed on a 24\" screen (1920x1080)\r\n- Tested this with Elasticsearch 2.4.X & 5.X\r\n- -  __Once loaded modify the template options to either be .raw (v2) or .keyworkd (v5) as per attached image__\r\n- Many other metrics are gathered but not yet graphed.\r\n- Depending on your cluster size you can change the index from daily to monthly.\r\n\r\nPython Script Download:\r\n\r\n<https://github.com/trevorndodds/elasticsearch-metrics/blob/master/Grafana/elasticsearch2elastic.py>\r\n\r\n    elasticServer = os.environ.get('ES_METRICS_CLUSTER_URL', 'http://server1:9200')\r\n    interval = os.environ.get('ES_METRICS_INTERVAL', 60)\r\n    elasticIndex = os.environ.get('ES_METRICS_INDEX_NAME', 'elasticsearch_metrics')\r\n    elasticMonitoringCluster = os.environ.get('ES_METRICS_MONITORING_CLUSTER_URL', 'http://server2:9200')\r\n\r\n__Docker also available see python github page__\r\n\r\n<https://github.com/trevorndodds/elasticsearch-metrics>\r\n\r\nPowershell Script download:\r\n\r\n    $elasticServer = \"http://server1:9200\"\r\n    $interval = 60 #If you adjust the interval you will have to adjust the \"Group by time interval\"\r\n    $elasticMonitoringCluster = \"http://server2:9200\"\r\n\r\nDownload Powershell script (requires PS version 3+) from:\r\n\r\n<https://github.com/trevorndodds/Powershell-grafana-scripts/blob/master/Elasticsearch/Elasticsearch2Elastic.ps1>\r\n\r\nRun it as a windows service using nssm - 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This quickstart helps you monitor your Elasticsearch cluster by setting up the Prometheus Elasticsearch exporter with preconfigured dashboards, alerting rules, and recording rules. This dashboard includes panels for the following metrics:\n\n- Cluster Health\n- CPU and Memory\n- Disk Usage\n- Network Usage\n- Load Average\n- JVM Memory Usage\n- JVM Garbage Collection\n- Tripped for Breakers\n- Nodes\n- Pending Tasks\n- Open file descriptors per Cluster\n- Active Primary Shards\n- Active, Initializing, Relocating and Delayed Shards\n- Translog\n- Breakers\n- Documents total count and size\n- Documents count on node\n- Documents indexed, deleted and merged rate\n- Documents merged bytes\n- Query, Indexing and Merging time\n- Throttle time for index store\n- Total Operations rate, time and stats\n- Thread Pool\n- Caches\n- Segments\n\nThis dashboard was generated using the Elasticsearch Exporter [mixin](https://github.com/grafana/jsonnet-libs/tree/master/elasticsearch-mixin).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-04-06T16:49:59.000Z","updatedAt":"2021-04-06T16:56:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":4.33,"links":[{"rel":"self","href":"/dashboards/14191"},{"rel":"revisions","href":"/dashboards/14191/revisions"},{"rel":"revision","href":"/dashboards/14191/revisions/1"},{"rel":"download","href":"/dashboards/14191/revisions/1/download"},{"rel":"org","href":"/orgs/grafana"},{"rel":"images","href":"/dashboards/14191/images"},{"rel":"thumbnails","href":"/dashboards/14191/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17594,"status":1,"statusCode":"active","orgId":760509,"orgSlug":"ebuildy","orgName":"ebuildy","slug":"elasticsearch-index-usage","downloads":377,"revisionId":27022,"revision":1,"name":"Elasticsearch index usage","description":"Watch elasticsearch indices usage over time:\r\n- search query\r\n- indexing\r\n\r\nUse case: detect unused elasticsearch indices, to delete it.","readme":"Watch elasticsearch indices usage over time:\r\n* search query\r\n* indexing\r\n\r\nUse case: detect unused elasticsearch indices, to delete it.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-12-13T16:00:37.000Z","updatedAt":"2022-12-13T16:06:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17594"},{"rel":"revisions","href":"/dashboards/17594/revisions"},{"rel":"revision","href":"/dashboards/17594/revisions/1"},{"rel":"download","href":"/dashboards/17594/revisions/1/download"},{"rel":"org","href":"/orgs/ebuildy"},{"rel":"images","href":"/dashboards/17594/images"},{"rel":"thumbnails","href":"/dashboards/17594/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17361,"status":1,"statusCode":"active","orgId":704518,"orgSlug":"rbernalop","orgName":"rbernalop","slug":"elasticsearch-logs","downloads":1928,"revisionId":26674,"revision":1,"name":"Elasticsearch logs","description":"Simple Elasticsearch logging interface, only need to bind an instance of Elasticsearch and start enjoying your logs :)","readme":"Simple Elasticsearch logging interface tested for Spring Boot application","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2022-11-06T15:50:32.000Z","updatedAt":"2022-11-16T16:16:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17361"},{"rel":"revisions","href":"/dashboards/17361/revisions"},{"rel":"revision","href":"/dashboards/17361/revisions/1"},{"rel":"download","href":"/dashboards/17361/revisions/1/download"},{"rel":"org","href":"/orgs/rbernalop"},{"rel":"images","href":"/dashboards/17361/images"},{"rel":"thumbnails","href":"/dashboards/17361/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":8642,"status":1,"statusCode":"active","orgId":202792,"orgSlug":"sebastiang","orgName":"Sebastian  G.","slug":"elasticsearch-monitoring-based-on-x-pack-stats","downloads":3213,"revisionId":11864,"revision":1,"name":"Elasticsearch Monitoring based on X-Pack stats","description":"Elasticsearch monitoring based on internal X-Pack statistics - no agent needed","readme":"Elasticsearch provides internal statistics based on X-Pack, which comes for free. Those statistics are written to an Elasticsearch index (per default [.monitoring-es-6-]YYYY.MM.DD) and can be viewed in Grafana easily. No additional client or exporter is needed. More information on how to enable the internal Elasticsearch statistics can be found here: \r\n\r\nhttps://www.elastic.co/guide/en/elasticsearch/reference/current/configuring-monitoring.html\r\n\r\nThe metrics found in this dashboard are based on the ones available in the official Kibana Dashboard for monitoring Elasticsearch. If you have multiple Clusters and Nodes you can select them via variable. Moreover there are Index Overview and Index Advanced stats which do have repeating panels per Index (you can also select an Index via variable). A small drawback is that latency values are calculated as:  search/index latency divided by search/index rate. This is something Grafana does not support for Elasticsearch datasources at the moment. So the latency values in this dashboard are not divided by rates. \r\n\r\nIf you would like to see the dashboard in action - you can bring up a Grafana-PLEI stack (Grafana bundled with (P)rometheus, (L)ogstash, (E)lasicsearch & (I)nfluxDB) with docker-compose and try it yourself. You can find it here: \r\n\r\nhttps://github.com/crab86/grafana-plei\r\n\r\n Moreover you can open issues and pull requests regarding this dashboard or the PLEI stack via this GitHub repo. ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2018-10-27T11:00:15.000Z","updatedAt":"2018-11-02T12:28:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":4.67,"links":[{"rel":"self","href":"/dashboards/8642"},{"rel":"revisions","href":"/dashboards/8642/revisions"},{"rel":"revision","href":"/dashboards/8642/revisions/1"},{"rel":"download","href":"/dashboards/8642/revisions/1/download"},{"rel":"org","href":"/orgs/sebastiang"},{"rel":"images","href":"/dashboards/8642/images"},{"rel":"thumbnails","href":"/dashboards/8642/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":2292,"status":1,"statusCode":"active","orgId":44454,"orgSlug":"vincentliu","orgName":"vincentliu","slug":"elasticserch-nginx-logs","downloads":8831,"revisionId":4193,"revision":5,"name":"Elasticsearch Nginx Logs","description":"Browse, analyze logs in Elasticsearchstatus_codes, pie-chart, top 10 clientip, line-chart,word-map and etc...","readme":"# ELK 5.X\r\n\r\n# nginx access log format\r\n```\r\nlog_format main   '{\"@timestamp\":\"$time_iso8601\",'\r\n                        '\"@source\":\"$server_addr\",'\r\n                        '\"hostname\":\"$hostname\",'\r\n                        '\"ip\":\"$http_x_forwarded_for\",'\r\n                        '\"client\":\"$remote_addr\",'\r\n                        '\"request_method\":\"$request_method\",'\r\n                        '\"scheme\":\"$scheme\",'\r\n                        '\"domain\":\"$server_name\",'\r\n                        '\"referer\":\"$http_referer\",'\r\n                        '\"request\":\"$request_uri\",'\r\n                        '\"args\":\"$args\",'\r\n                        '\"size\":$body_bytes_sent,'\r\n                        '\"status\": $status,'\r\n                        '\"responsetime\":$request_time,'\r\n                        '\"upstreamtime\":\"$upstream_response_time\",'\r\n                        '\"upstreamaddr\":\"$upstream_addr\",'\r\n                        '\"http_user_agent\":\"$http_user_agent\",'\r\n                        '\"https\":\"$https\"'\r\n                        '}';\r\n```\r\n\r\n# Logstash nginx_access.conf \r\n```\r\ninput {\r\n    file {\r\n        #这里根据自己日志命名使用正则匹配所有域名访问日志\r\n        path => [ \"/usr/local/nginx/logs/*_access.log\" ]\r\n        ignore_older => 0\r\n\tcodec => json\r\n    }\r\n}\r\n\r\nfilter {\r\n    mutate {\r\n      convert => [ \"status\",\"integer\" ]\r\n      convert => [ \"size\",\"integer\" ]\r\n      convert => [ \"upstreatime\",\"float\" ]\r\n      remove_field => \"message\"\r\n    }\r\n    geoip {\r\n        source => \"ip\"\r\n    }\r\n\r\n\r\n}\r\noutput {\r\n    elasticsearch {\r\n        hosts => \"127.0.0.1:9200\"\r\n        index => \"logstash-nginx-access-%{+YYYY.MM.dd}\"\r\n    }\r\n#    stdout {codec => rubydebug}\r\n}\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2017-05-19T09:29:15.000Z","updatedAt":"2018-02-13T15:51:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/2292"},{"rel":"revisions","href":"/dashboards/2292/revisions"},{"rel":"revision","href":"/dashboards/2292/revisions/5"},{"rel":"download","href":"/dashboards/2292/revisions/5/download"},{"rel":"org","href":"/orgs/vincentliu"},{"rel":"images","href":"/dashboards/2292/images"},{"rel":"thumbnails","href":"/dashboards/2292/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":13844,"status":1,"statusCode":"active","orgId":312323,"orgSlug":"guaiguaile","orgName":"guaiguaile","slug":"elasticsearch-nginx-logs-beta-1","downloads":393,"revisionId":20260,"revision":1,"name":"Elasticsearch Nginx Logs(beta-1)","description":"Browse, analyze logs in Elasticsearch Nginx Logs","readme":"嗯...","collectorType":"Beats","collectorConfig":"# nginx.conf\n```conf\n    log_format json  '{\"@timestamp\":\"$time_iso8601\",'\n                 '\"server_host\":\"$server_addr\",'\n                 '\"server_name\":\"$server_name\",'\n                 '\"server_port\":\"$server_port\",'\n                 '\"server_protocol\":\"$server_protocol\",'                 \n                 '\"client_ip\":\"$remote_addr\",'\n                 '\"client_user\":\"$remote_user\",'\n                 '\"request_line\":\"$request\",'\n                 '\"status\":\"$status\",'\n                 '\"request_method\": \"$request_method\",'\n                 '\"send_client_body_size\":\"$body_bytes_sent\",'\n                 '\"send_client_size\":\"$bytes_sent\",'\n                 '\"request_length\":\"$request_length\",'\n                 '\"request_time\":\"$request_time\",'\n                 '\"upstream_time\":\"$upstream_response_time\",'\n                 '\"upstream_host\":\"$upstream_addr\",'\n                 '\"http_host\":\"$host\",'\n                 '\"request_url\":\"$request_uri\",'\n                 '\"http_x_forward\":\"$http_x_forwarded_for\",'\n                 '\"proxy_add_x_forward\":\"$proxy_add_x_forwarded_for\",'\n                 '\"http_referer\":\"$http_referer\",'\n                 '\"user_agent\":\"$http_user_agent\",'\n                 '\"http_upgrade\":\"$http_upgrade\",'\n                 '\"http_cookie\":\"$http_cooke\",'\n                 '\"gzip_ratio\":\"$gzip_ratio\",'\n                 '\"pipeline\":\"$pipe\",'\n                 '\"connection_requests\":\"$connection_requests\",'\n                 '\"connection_number\":\"$connection\",'\n                 '\"http_origin\":\"$http_origin\",'\n                 '\"http_x_forwarded_proto\":\"$http_x_forwarded_proto\",'\n                 '\"http_scheme\":\"$scheme\"}';\n\n    access_log /var/log/nginx/access.log json;\n\n```\n\n# filebeat.docker.yml \n```yml\nfilebeat.inputs:\n- type: docker\n  enabled: true\n  containers.ids:\n    - '*'\n  processors:\n    - add_docker_metadata: ~\n\nfilebeat.autodiscover:\n  providers:\n    - type: docker\n      hints.enabled: true\n\noutput.logstash:\n   hosts: ['logstash:5044']\n```\n\n# logstash.conf\n```conf\ninput {\n  beats {\n    port => 5044\n  }\n}\n\n\nfilter {\n  if [container][name] == \"nginx\" {\n    mutate {\n        gsub => [\"message\", \"\\\\x\", \"\\\\\\x\"]\n        remove_field => [\"beat\"]\n        convert => [ \"send_client_size\", \"integer\" ]\n        convert => [ \"send_client_body_size\", \"integer\" ]\n        convert => [ \"request_length\", \"integer\" ]\n    }\n    json {\n        source => \"message\"\n        remove_field => [\"message\"]\n    }\n\n    date {\n        locale => \"en\"\n        match => [\"locals\", \"ISO8601\"]\n    }\n    geoip {\n        source => \"client_ip\"\n    }\n  }\n}\n\n\noutput {\n  if [container][name] == \"nginx\" {\n    elasticsearch {\n      hosts => [\"http://es01:9200\"]\n      index => \"nginx-%{+YYYY.MM.dd}\"\n      #user => \"elastic\"\n      #password => \"changeme\"\n    }\n  }\n  stdout {}\n}\n```\n","collectorPluginList":"Filebeat","datasource":"Elasticsearch","privacy":"public","createdAt":"2021-02-07T03:54:47.000Z","updatedAt":"2021-02-07T03:56:33.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13844"},{"rel":"revisions","href":"/dashboards/13844/revisions"},{"rel":"revision","href":"/dashboards/13844/revisions/1"},{"rel":"download","href":"/dashboards/13844/revisions/1/download"},{"rel":"org","href":"/orgs/guaiguaile"},{"rel":"images","href":"/dashboards/13844/images"},{"rel":"thumbnails","href":"/dashboards/13844/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":14913,"status":1,"statusCode":"active","orgId":312323,"orgSlug":"guaiguaile","orgName":"guaiguaile","slug":"elasticsearch-nginx-logs-beta-2","downloads":676,"revisionId":29012,"revision":3,"name":"Elasticsearch Nginx Logs(beta-2)","description":"Browse, analyze logs in Elasticsearch Nginx Logs","readme":"嗯嗯......","collectorType":"Beats","collectorConfig":"# Nginx\r\n\r\n---\r\n\r\n> Nginx日志规范化输出，通过 filebeat 工具解析发送到 Elasticsearch ，通过 Grafana 展示\r\n\r\n1. 自定义 nginx 日志配置，输出为json格式 - `nginx.conf`\r\n\r\n    ```conf\r\n    user  nginx;\r\n    worker_processes  auto;\r\n    error_log  /var/log/nginx/error.log warn;\r\n    pid        /var/run/nginx.pid;\r\n    events {\r\n        worker_connections  10240;\r\n    }\r\n    http {\r\n        include       /etc/nginx/mime.types;\r\n        default_type  application/octet-stream;\r\n        log_format json  '{\"@timestamp\":\"$time_iso8601\",'\r\n                    '\"server_addr\":\"$server_addr\",'\r\n                    '\"server_name\":\"$server_name\",'\r\n                    '\"server_port\":\"$server_port\",'\r\n                    '\"server_protocol\":\"$server_protocol\",'\r\n                    '\"client_ip\":\"$remote_addr\",'\r\n                    '\"client_user\":\"$remote_user\",'\r\n                    '\"status\":\"$status\",'\r\n                    '\"request_method\": \"$request_method\",'\r\n                    '\"request_length\":\"$request_length\",'\r\n                    '\"request_time\":\"$request_time\",'\r\n                    '\"request_url\":\"$request_uri\",'\r\n                    '\"request_line\":\"$request\",'\r\n                    '\"send_client_size\":\"$bytes_sent\",'\r\n                    '\"send_client_body_size\":\"$body_bytes_sent\",'\r\n                    '\"proxy_protocol_addr\":\"$proxy_protocol_addr\",'\r\n                    '\"proxy_add_x_forward\":\"$proxy_add_x_forwarded_for\",'\r\n                    '\"proxy_port\":\"$proxy_port\",'\r\n                    '\"proxy_host\":\"$proxy_host\",'\r\n                    '\"upstream_host\":\"$upstream_addr\",'\r\n                    '\"upstream_status\":\"$upstream_status\",'\r\n                    '\"upstream_cache_status\":\"$upstream_cache_status\",'\r\n                    '\"upstream_connect_time\":\"$upstream_connect_time\",'\r\n                    '\"upstream_response_time\":\"$upstream_response_time\",'\r\n                    '\"upstream_header_time\":\"$upstream_header_time\",'\r\n                    '\"upstream_cookie_name\":\"$upstream_cookie_name\",'\r\n                    '\"upstream_response_length\":\"$upstream_response_length\",'\r\n                    '\"upstream_bytes_received\":\"$upstream_bytes_received\",'\r\n                    '\"upstream_bytes_sent\":\"$upstream_bytes_sent\",'\r\n                    '\"http_host\":\"$host\",'\r\n                    '\"http_cookie\":\"$http_cooke\",'\r\n                    '\"http_user_agent\":\"$http_user_agent\",'\r\n                    '\"http_origin\":\"$http_origin\",'\r\n                    '\"http_upgrade\":\"$http_upgrade\",'\r\n                    '\"http_referer\":\"$http_referer\",'\r\n                    '\"http_x_forward\":\"$http_x_forwarded_for\",'\r\n                    '\"http_x_forwarded_proto\":\"$http_x_forwarded_proto\",'\r\n                    '\"https\":\"$https\",'\r\n                    '\"http_scheme\":\"$scheme\",'\r\n                    '\"invalid_referer\":\"$invalid_referer\",'\r\n                    '\"slice_range\":\"$slice_range\",'\r\n                    '\"gzip_ratio\":\"$gzip_ratio\",'\r\n                    '\"realpath_root\":\"$realpath_root\",'\r\n                    '\"document_root\":\"$document_root\",'\r\n                    '\"is_args\":\"$is_args\",'\r\n                    '\"args\":\"$args\",'\r\n                    '\"connection_requests\":\"$connection_requests\",'\r\n                    '\"connection_number\":\"$connection\",'\r\n                    '\"ssl_protocol\":\"$ssl_protocol\",'\r\n                    '\"ssl_cipher\":\"$ssl_cipher\"}';\r\n        access_log /var/log/nginx/access.log json;\r\n        sendfile        on;\r\n        keepalive_timeout  65;\r\n        include /etc/nginx/conf.d/*.conf;\r\n    }\r\n    ```\r\n\r\n2. 使用 docker-compose 启动时，指定挂载配置文件路径 - `docker-compose.yaml`\r\n\r\n    ```yaml\r\n    version: '3'\r\n    services:\r\n      nginx:\r\n        container_name: nginx\r\n        image: nginx:1.20.1-alpine\r\n        mem_limit: 128M\r\n        restart: always\r\n        volumes:\r\n          # 这行配置\r\n          - ./volume/nginx/config/nginx_conf:/etc/nginx/nginx.conf\r\n        ports:\r\n          - 80:80\r\n          - 443:443\r\n    ```\r\n\r\n3. 准备 elasticsearch 服务的配置，启动 elasticsearch 服务 - `docker-compose.yaml`\r\n\r\n    ```yaml\r\n    version: '3'\r\n    services:\r\n      es:\r\n        container_name: es\r\n        image: docker.elastic.co/elasticsearch/elasticsearch:7.14.0\r\n        restart: always\r\n        environment:\r\n          - node.name=es01\r\n          - discovery.type=single-node\r\n          - bootstrap.memory_lock=true\r\n          # 必须在 elasticsearch 中启用CORS，否则您的浏览器将因违反同源策略而拒绝 elasticsearch-head 的请求\r\n          - http.cors.enabled=true\r\n          - http.cors.allow-origin=\"*\"\r\n        ulimits:\r\n          memlock:\r\n            soft: -1\r\n            hard: -1\r\n        volumes:\r\n          - data01:/usr/share/elasticsearch/data\r\n        ports:\r\n          - 9200:9200\r\n    volumes:\r\n      data01:\r\n        driver: local\r\n    ```\r\n\r\n    ```bash\r\n    # 启动 elasticsearch 服务\r\n    docker-compose up -d es\r\n    # 验证启动成功，访问接口正常返回\r\n    curl http://0.0.0.0:9200\r\n    ```\r\n\r\n4. 在每个被收集端配置并启动 filebeat 服务 - `filebeat.yml` - `docker-compose.yaml`\r\n\r\n    ```yaml\r\n    # https://www.elastic.co/guide/en/beats/filebeat/current/configuration-autodiscover.html\r\n\r\n    filebeat.config:\r\n      modules:\r\n        path: ${path.config}/modules.d/*.yml\r\n        reload.enabled: false\r\n\r\n    filebeat.autodiscover:\r\n      providers:\r\n        - type: docker\r\n          templates:\r\n            - condition:\r\n                contains:\r\n                  docker.container.image: nginx\r\n              config:\r\n                - type: container\r\n                  paths:\r\n                    - /var/lib/docker/containers/${data.docker.container.id}/*.log\r\n                  # 一个可选的配置设置，指定要应用行过滤和多行设置的 JSON 键。如果指定，键必须在 JSON 对象的顶层，与键关联的值必须是字符串，否则不会发生过滤或多行聚合(直接抽取一行日志中字段名字为\"log\"的key，变为顶级字段)\r\n                  json.message_key: log\r\n                  # 默认情况下，解码后的 JSON 放在输出文档中的“json”键下。如果启用此设置，则密钥将复制到输出文档的顶层。默认值为false --配合json.message_key使用\r\n                  json.keys_under_root: true\r\n                  # 如果启用此设置，Filebeat 会添加“error.message”和“error.type: json”键，以防出现 JSON 解组错误或message_key在配置中定义了a但无法使用\r\n                  json.add_error_key: true\r\n\r\n    processors:\r\n    - add_cloud_metadata: ~\r\n\r\n    output.elasticsearch:\r\n      hosts: '${ELASTICSEARCH_HOSTS:elasticsearch:9200}'\r\n      username: '${ELASTICSEARCH_USERNAME:}'\r\n      password: '${ELASTICSEARCH_PASSWORD:}'\r\n    ```\r\n\r\n    ```yaml\r\n    version: '3'\r\n    services:\r\n      filebeat:\r\n        container_name: filebeat\r\n        image: docker.elastic.co/beats/filebeat:7.14.0\r\n        restart: always\r\n        user: root\r\n        environment:\r\n          - ELASTICSEARCH_HOSTS=172.22.241.70:9200\r\n        volumes:\r\n          - ./volume/filebeat/config/filebeat.docker.yml:/usr/share/filebeat/filebeat.yml:ro\r\n          - /home/docker-data/containers:/var/lib/docker/containers:ro\r\n          - /var/run/docker.sock:/var/run/docker.sock:ro\r\n    ```\r\n\r\n5. 展示在Grafana, ID: `14913`\r\n   1. 打开 Grafana 页面，登录后，在 `Data Sources` 添加类型为 `Elasticsearch` 的数据源\r\n   2. 在 `HTTP` 段，把上面启动 es 机器的IP地址和端口填写到 `URL` 输入框中，比如: `http://es:9200`\r\n   3. 在 `Elasticsearch details` 段\r\n      1. 把上面 filebeat 配置的nginx索引名称填写到 `Index name` 输入框中，比如: `filebeat-7.14.0*`\r\n      2. `Version` 选择 `7.0+`\r\n      3. 保存测试\r\n   4. 导入Dashboard，ID: `14913`","collectorPluginList":"Filebeat","datasource":"Elasticsearch","privacy":"public","createdAt":"2021-08-24T09:59:48.000Z","updatedAt":"2023-06-08T01:58:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14913"},{"rel":"revisions","href":"/dashboards/14913/revisions"},{"rel":"revision","href":"/dashboards/14913/revisions/3"},{"rel":"download","href":"/dashboards/14913/revisions/3/download"},{"rel":"org","href":"/orgs/guaiguaile"},{"rel":"images","href":"/dashboards/14913/images"},{"rel":"thumbnails","href":"/dashboards/14913/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":13641,"status":1,"statusCode":"active","orgId":450638,"orgSlug":"krish512","orgName":"krish512","slug":"elasticsearch-production","downloads":1045,"revisionId":19917,"revision":2,"name":"ElasticSearch Production","description":"Monitor Elasticsearch cluster using Prometheus and Elasticsearch exporter\r\nhttps://github.com/justwatchcom/elasticsearch_exporter","readme":"","collectorType":"nodeExporter","collectorConfig":"```\r\n  - job_name: 'es-prod'\r\n    scrape_interval: 1m\r\n    static_configs:\r\n    - targets: ['elastic-exporter-ip-address:9114']\r\n      labels:\r\n        cluster: 'es-prod'\r\n```","collectorPluginList":"Other","datasource":"InfluxDB, Prometheus","privacy":"public","createdAt":"2020-12-28T10:37:47.000Z","updatedAt":"2020-12-28T10:53:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13641"},{"rel":"revisions","href":"/dashboards/13641/revisions"},{"rel":"revision","href":"/dashboards/13641/revisions/2"},{"rel":"download","href":"/dashboards/13641/revisions/2/download"},{"rel":"org","href":"/orgs/krish512"},{"rel":"images","href":"/dashboards/13641/images"},{"rel":"thumbnails","href":"/dashboards/13641/thumbnails"}],"datasourceSlugs":["influxdb","prometheus"]},{"id":2347,"status":1,"statusCode":"active","orgId":63475,"orgSlug":"yakushev","orgName":"yakushev","slug":"elasticsearch-stats","downloads":2987,"revisionId":3336,"revision":2,"name":"Elasticsearch Stats","description":"ElasticSearch metrics from prometheus exporter","readme":"ElasticSearch metrics from prometheus exporter (https://github.com/justwatchcom/elasticsearch_exporter)\r\n\r\nFork from: https://grafana.com/dashboards/266\r\n\r\ngit: https://github.com/yackushevas/grafana_dashboards\r\n\r\nrev2:\r\nUpdate for compatibility with 0.3.3 elasticsearch_exporter: https://github.com/justwatchcom/elasticsearch_exporter/releases/tag/v0.3.3\r\nAdded labels for dividing nodes by type: https://www.elastic.co/guide/en/elasticsearch/reference/current/modules-node.html\r\nfor example:\r\n```\r\n- job_name: 'elasticsearch'\r\n\r\n  scrape_interval: 30s\r\n  metrics_path: '/metrics'\r\n  static_configs:\r\n    - targets: [ 'master1']\r\n      # Labels assigned to all metrics scraped from the targets.\r\n      labels:\r\n        node_type: data\r\n    - targets: [ 'storage1' ]\r\n      # Labels assigned to all metrics scraped from the targets.\r\n      labels:\r\n        node_type: master\r\n    - targets: [ 'client1' ]\r\n      # Labels assigned to all metrics scraped from the targets.\r\n      labels:\r\n        node_type: client\"\r\n```\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-05-26T18:57:17.000Z","updatedAt":"2017-06-16T20:04:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2347"},{"rel":"revisions","href":"/dashboards/2347/revisions"},{"rel":"revision","href":"/dashboards/2347/revisions/2"},{"rel":"download","href":"/dashboards/2347/revisions/2/download"},{"rel":"org","href":"/orgs/yakushev"},{"rel":"images","href":"/dashboards/2347/images"},{"rel":"thumbnails","href":"/dashboards/2347/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":1004,"status":1,"statusCode":"active","orgId":37059,"orgSlug":"xiaoming235","orgName":"xiaoming235","slug":"elasticsearch","downloads":5113,"revisionId":1454,"revision":1,"name":"elasticsearch-logstash","description":"Browse, analyze logs in Elasticsearch\r\nstatus_codes, pie-chart, top 10 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Dashboard\n\n> contact: li.zhang@lowan-cn.com\n\n### emq exporter used\n- [https://github.com/nuvo/emq_exporter](https://github.com/nuvo/emq_exporter)\n  - Thanks to nuvo's great work\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-03-24T05:35:25.000Z","updatedAt":"2019-03-24T06:31:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9963"},{"rel":"revisions","href":"/dashboards/9963/revisions"},{"rel":"revision","href":"/dashboards/9963/revisions/1"},{"rel":"download","href":"/dashboards/9963/revisions/1/download"},{"rel":"org","href":"/orgs/zhangli2946"},{"rel":"images","href":"/dashboards/9963/images"},{"rel":"thumbnails","href":"/dashboards/9963/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17446,"status":1,"statusCode":"active","orgId":747439,"orgSlug":"yusf","orgName":"yusf","slug":"emqx","downloads":12583,"revisionId":32451,"revision":2,"name":"EMQX","description":"Default EMQX 5.0 Grafana Monitoring Dashboard Template","readme":"## Introduction\r\n\r\nEMQX is the most scalable and popular open-source MQTT broker with a high performance that connects 100M+ IoT devices in 1 cluster at 1ms latency. Move and process millions of MQTT messages per second.\r\n\r\nThe EMQX v5.0 has been verified in [test scenarios](https://www.emqx.com/en/blog/reaching-100m-mqtt-connections-with-emqx-5-0) to scale to 100 million concurrent device connections, which is a critically important milestone for IoT designers. It also comes with plenty of exciting new features and huge performance improvements, including a more powerful [rule engine](https://www.emqx.com/en/solutions/iot-rule-engine), enhanced security management, Mria database extension, and much more to enhance the scalability of IoT applications.\r\n\r\nDuring the last several years, EMQX has gained popularity among IoT companies and is used by more than 20,000 global users from over 50 countries, with more than 100 million IoT device connections supported worldwide.\r\n\r\nFor more information, please visit [EMQX homepage](https://www.emqx.io/).\r\n\r\n## Get Started\r\n\r\n**EMQX Cloud**\r\n\r\nThe simplest way to set up EMQX is to create a managed deployment with EMQX Cloud. You can [try EMQX Cloud for free](https://www.emqx.com/en/signup?utm_source=github.com&utm_medium=referral&utm_campaign=emqx-readme-to-cloud&continue=https://cloud-intl.emqx.com/console/deployments/0?oper=new), no credit card required.\r\n\r\n**Run EMQX using Docker**\r\n\r\n```shell\r\ndocker run -d --name emqx -p 1883:1883 -p 8083:8083 -p 8084:8084 -p 8883:8883 -p 18083:18083 emqx/emqx:latest\r\n```\r\n\r\nNext, follow the [getting started guide](https://www.emqx.io/docs/en/v5.0/getting-started/getting-started.html#start-emqx) to tour the EMQX features.\r\n\r\n**Run EMQX cluster on Kubernetes**\r\n\r\nFor details: [EMQX Operator](https://github.com/emqx/emqx-operator/blob/main/docs/en_US/getting-started/getting-started.md).\r\n\r\n**More installation options**\r\n\r\nIf you prefer to install and manage EMQX, you can download the latest version from [www.emqx.io/downloads](https://www.emqx.io/downloads).\r\n\r\nFor more installation options, see the [EMQX installation documentation](https://www.emqx.io/docs/en/v5.0/deploy/install.html).\r\n\r\n## Metrics Displayed\r\n\r\nAfter you install EMQX, you can view the basic metrics or custom the metrics and display them in the Grafana dashboard. Below are the metrics displayed in the dashboard.\r\n\r\n- General, including the number of connections, topics, and subscriptions.\r\n- Messages, including the number of messages published and received and the number of messages published and received per second.\r\n- System, including the number of processes, CPU and Erlang VM memory, etc.\r\n- Packet, including the number of packets connected, published, received, etc.\r\n\r\n> Note: This Dashboard template is available for EMQX 5.0\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-21T03:02:31.000Z","updatedAt":"2024-04-19T08:01:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/17446"},{"rel":"revisions","href":"/dashboards/17446/revisions"},{"rel":"revision","href":"/dashboards/17446/revisions/2"},{"rel":"download","href":"/dashboards/17446/revisions/2/download"},{"rel":"org","href":"/orgs/yusf"},{"rel":"images","href":"/dashboards/17446/images"},{"rel":"thumbnails","href":"/dashboards/17446/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15012,"status":1,"statusCode":"active","orgId":542302,"orgSlug":"qzhuyan","orgName":"qzhuyan","slug":"emqx-monitoring","downloads":7531,"revisionId":23144,"revision":3,"name":"EMQX monitoring","description":"Clone of https://github.com/emqx/emqx/blob/master/apps/emqx_prometheus/grafana_template/EMQ.json","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-09-15T10:27:26.000Z","updatedAt":"2021-12-10T14:18:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15012"},{"rel":"revisions","href":"/dashboards/15012/revisions"},{"rel":"revision","href":"/dashboards/15012/revisions/3"},{"rel":"download","href":"/dashboards/15012/revisions/3/download"},{"rel":"org","href":"/orgs/qzhuyan"},{"rel":"images","href":"/dashboards/15012/images"},{"rel":"thumbnails","href":"/dashboards/15012/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15940,"status":1,"statusCode":"active","orgId":299161,"orgSlug":"samvdb","orgName":"samvdb","slug":"ems-esp","downloads":1322,"revisionId":24191,"revision":2,"name":"EMS-ESP","description":"ESP32 v3  firmware ","readme":"This uses mosquitto MQTT and Influx2 with build in telegraf config.\r\nThe dashboard has been updated for V3  firmware of EMS-ESP. [https://github.com/emsesp/EMS-ESP32]()\r\n\r\nEnsure the following settings are configured correctly in EMS-ESP: \r\n\r\n[BBQ kees wiki](https://bbqkees-electronics.nl/wiki/gateway/configuring-mqtt.html)\r\n\r\n- **Topic/Payload Format** should be **As individual topics**\r\n- **Boolean Format** should be **1/0**\r\n\r\nSee the telegraf config above, Influx should have a bucket called ems and an api token generated.","collectorType":"Telegraf","collectorConfig":"```\r\n# Configuration for telegraf agent\r\n[agent]\r\n  interval = \"10s\"\r\n  round_interval = true\r\n  metric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"10s\"\r\n  flush_jitter = \"0s\"\r\n  precision = \"\"\r\n  hostname = \"\"\r\n  ## If set to true, do no set the \"host\" tag in the telegraf agent.\r\n  omit_hostname = false\r\n[[outputs.influxdb_v2]]\r\n  urls = [\"http://0.0.0.0:8086\"]\r\n  token = \"$INFLUX_TOKEN\"\r\n  organization = \"org\"\r\n  bucket = \"ems\"\r\n[[inputs.mqtt_consumer]]\r\n  servers = [\"tcp://0.0.0.0:1883\"]\r\n  data_format = \"json\"\r\n  topics = [\r\n    \"ems-esp/boiler_data\",\r\n    \"ems-esp/boiler_data_ww\",\r\n    \"ems-esp/thermostat_data_hc1\",\r\n    \"ems-esp/thermostat_data\",\r\n    \"ems-esp/thermostat_data_hc2\",\r\n    \"ems-esp/mixer_data_hc1\",\r\n    \"ems-esp/mixer_data_hc2\",\r\n    \"ems-esp/solar_data\",\r\n  ]\r\n\r\n```","collectorPluginList":"mqtt_consumer","datasource":"InfluxDB","privacy":"public","createdAt":"2022-03-17T06:42:43.000Z","updatedAt":"2022-03-18T10:15:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15940"},{"rel":"revisions","href":"/dashboards/15940/revisions"},{"rel":"revision","href":"/dashboards/15940/revisions/2"},{"rel":"download","href":"/dashboards/15940/revisions/2/download"},{"rel":"org","href":"/orgs/samvdb"},{"rel":"images","href":"/dashboards/15940/images"},{"rel":"thumbnails","href":"/dashboards/15940/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17338,"status":1,"statusCode":"active","orgId":737623,"orgSlug":"rondevous29","orgName":"rondevous29","slug":"ems-esp-buderus-logamax-gb172-210sr-dashboard","downloads":356,"revisionId":26647,"revision":1,"name":"EMS-ESP Buderus Logamax GB172 210sr 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In addition, they are available in MQTT, REST API, where you can use them in third-party apps.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2022-09-28T20:01:06.000Z","updatedAt":"2022-09-28T20:04:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17077"},{"rel":"revisions","href":"/dashboards/17077/revisions"},{"rel":"revision","href":"/dashboards/17077/revisions/1"},{"rel":"download","href":"/dashboards/17077/revisions/1/download"},{"rel":"org","href":"/orgs/profesore96"},{"rel":"images","href":"/dashboards/17077/images"},{"rel":"thumbnails","href":"/dashboards/17077/thumbnails"}]},{"id":12091,"status":1,"statusCode":"active","orgId":368915,"orgSlug":"ruaandeysel1","orgName":"ruaandeysel1","slug":"energy-monitoring","downloads":2480,"revisionId":17219,"revision":2,"name":"Energy Monitoring","description":"Monitor TP-Link HS110 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Enviroplus dashboard","readme":"## Table of Contents\n\n* [About the Project](#about-the-project)\n  * [Built With](#built-with)\n* [Getting Started](#getting-started)\n  * [Prerequisites](#prerequisites)\n  * [Installation](#installation)\n* [Usage](#usage)\n* [Roadmap](#roadmap)\n* [Contributing](#contributing)\n* [License](#license)\n* [Contact](#contact)\n* [Acknowledgements](#acknowledgements)\n\n\n## About The Project\n\n[![Product Name Screen Shot][product-screenshot]](https://github.com/tijmenvandenbrink/enviroplus_exporter)\n\n### Built With\n\n* [Pimoroni/enviroplus-python](https://github.com/pimoroni/enviroplus-python)\n* [Prometheus](https://prometheus.io/)\n* [Grafana](https://grafana.com/)\n\n## Getting Started\n\nTo get the prometheus enviroplus-exporter up and running I'm assuming you already have Prometheus and Grafana running somewhere. \n***Note***: I wouldn't recommend running Prometheus on a Raspberry Pi (using a local SD card) as this could drastically reduce the lifetime of the SD card as samples are written quite often to disk.\n\n### Prerequisites\n\nTo run the enviroplus-exporter you need to have the enviroplus-python library by Pimoroni installed:\n \n### One-line (Installs enviroplus-python library from GitHub)\n\n```sh\ncurl -sSL https://get.pimoroni.com/enviroplus | bash\n```\n\n**Note** Raspbian Lite users may first need to install git: `sudo apt install git`\n\n### Installation\nWe're going to run the enviroplus-exporter as the user ```pi``` in the directory ```/usr/src/```. Adjust this as you wish.\n \n1.Clone the enviroplus-exporter repository\n```sh\ncd\ngit clone https://github.com/tijmenvandenbrink/enviroplus_exporter.git\nsudo cp -r enviroplus_exporter /usr/src/\nsudo chown -R pi:pi /usr/src/enviroplus_exporter\n```\n2.Install as a Systemd service\n```sh\ncd /usr/src/enviroplus_exporter\nsudo cp contrib/enviroplus-exporter.service /etc/systemd/system/enviroplus-exporter.service\nsudo chmod 644 /etc/systemd/system/enviroplus-exporter.service\nsudo systemctl daemon-reload\n```\n3.Start the enviroplus-exporter service\n```sh\nsudo systemctl start enviroplus-exporter\n```\n4.Check the status of the service\n```sh\nsudo systemctl status enviroplus-exporter\n```\nIf the service is running correctly, the output should resemble the following:\n\n```\npi@raspberrypi:/usr/src/enviroplus_exporter $ sudo systemctl status enviroplus-exporter\n● enviroplus-exporter.service - Enviroplus-exporter service\n   Loaded: loaded (/etc/systemd/system/enviroplus-exporter.service; disabled; vendor preset: enabled)\n   Active: active (running) since Fri 2020-01-17 14:13:41 CET; 5s ago\n Main PID: 30373 (python)\n    Tasks: 2 (limit: 4915)\n   Memory: 6.0M\n   CGroup: /system.slice/enviroplus-exporter.service\n           └─30373 /usr/bin/python /usr/src/enviroplus_exporter/enviroplus_exporter.py --bind=0.0.0.0 --port=8000\n\nJan 17 14:13:41 wall-e systemd[1]: Started Enviroplus-exporter service.\nJan 17 14:13:41 wall-e python[30373]: 2020-01-17 14:13:41.565 INFO     enviroplus_exporter.py - Expose readings from the Enviro+ sensor by Pimoroni in Prometheus format\nJan 17 14:13:41 wall-e python[30373]: Press Ctrl+C to exit!\nJan 17 14:13:41 wall-e python[30373]: 2020-01-17 14:13:41.581 INFO     Listening on http://0.0.0.0:8000\n```\n\n5.Enable at boot time\n```sh\nsudo systemctl enable enviroplus-exporter\n```\n\n## Usage\n\nSo now we've setup the Prometheus enviroplus-exporter we can start scraping this endpoint from our Prometheus server and get a nice dashboard using Grafana.  \n\n### Prometheus\n\nIf you haven't setup Prometheus yet have a look at the installation guide [here](https://prometheus.io/docs/prometheus/latest/installation/).\n\nBelow is a simple scraping config:\n\n```yaml\n# Sample config for Prometheus.\n\nglobal:\n  scrape_interval:     15s # By default, scrape targets every 15 seconds.\n  evaluation_interval: 15s # By default, scrape targets every 15 seconds.\n  # scrape_timeout is set to the global default (10s).\n\n  # Attach these labels to any time series or alerts when communicating with\n  # external systems (federation, remote storage, Alertmanager).\n  external_labels:\n      monitor: 'external'\n\n# Load and evaluate rules in this file every 'evaluation_interval' seconds.\nrule_files:\n  # - \"first.rules\"\n  # - \"second.rules\"\n\n# A scrape configuration containing exactly one endpoint to scrape:\n# Here it's Prometheus itself.\nscrape_configs:\n  # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.\n  - job_name: 'prometheus'\n\n    # Override the global default and scrape targets from this job every 5 seconds.\n    scrape_interval: 15s\n    scrape_timeout: 15s\n\n    # metrics_path defaults to '/metrics'\n    # scheme defaults to 'http'.\n\n    static_configs:\n    - targets: ['localhost:9090']\n\n  - job_name: node\n    # If prometheus-node-exporter is installed, grab stats about the local\n    # machine by default.\n    static_configs:\n    - targets: ['localhost:9100']\n\n    # If environmentplus-exporter is installed, grab stats about the local\n    # machine by default.\n  - job_name: environment\n    static_configs:\n    - targets: ['localhost:8000']\n      labels:\n        group: 'environment'\n        location: 'Amsterdam'\n        \n    - targets: ['newyork.example.com:8001']\n      labels:\n        group: 'environment'\n        location: 'New York'\n``` \n\nI added two labels to the targets ```group: environment``` and ```location: SomeLocation```. The Grafana dashboard uses these labels to distinguish the various locations.\n\n### Grafana\n\nI will publish a Grafana Dashboard shortly.\n\n## Roadmap\n\nSee the [open issues](https://github.com/tijmenvandenbrink/enviroplus_exporter/issues) for a list of proposed features (and known issues).\n\n## Contributing\n\nContributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.\n\n1. Fork the Project\n2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)\n3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)\n4. Push to the Branch (`git push origin feature/AmazingFeature`)\n5. Open a Pull Request\n\n## License\n\nDistributed under the MIT License. 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datasource to get the Espresso node metrics and NodeExporter for the HW metrics\r\n\r\nexample from Prometheus config:\r\n\r\nscrape_configs:\r\n  - job_name: \"prometheus\"\r\n    scrape_interval: 5s\r\n    static_configs:\r\n      - targets: [\"localhost:9090\"]\r\n  - job_name: \"espresso\"\r\n    scrape_interval: 5s\r\n    metrics_path: '/v1/status/metrics'\r\n    static_configs:\r\n      - targets: [\"localhost:24000\"]\r\n  - job_name: \"node_exporter\"\r\n    scrape_interval: 5s\r\n    static_configs:\r\n      - targets: 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Zabbix","readme":"Use o template do Zabbix  \"PostgreSQL by Zabbix agent 2\" https://www.zabbix.com/integrations/postgresql#postgresql_agent2 \r\npara monitora seu PostgreSQL 14 (Testei na versão 14 do PostgreSQL Porem qualquer versão que o agente do zabbix conseguir coletar funcionara )\r\n\r\nImporta o dashboard ao seu Grafana.\r\n\r\nAltere a variável $host para seu Host PostgreSQL \r\n\r\nAltere a variável $DB para o nome do seu Banco de Dados (Caso tenha outras bases é preciso colocar manualmente na variável )\r\n\r\nRequisitos:\r\nZabbix-Agent2\r\nPostgreSQL 10 ou Superior\r\n\r\nEm breve, farei um vídeo para comunidade no Youtube mostrando como foi feito. \r\n\r\nCanal H2Ops 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true\r\n```","collectorPluginList":"prometheus","datasource":"InfluxDB","privacy":"public","createdAt":"2019-07-18T08:45:43.000Z","updatedAt":"2019-07-18T09:03:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10559"},{"rel":"revisions","href":"/dashboards/10559/revisions"},{"rel":"revision","href":"/dashboards/10559/revisions/1"},{"rel":"download","href":"/dashboards/10559/revisions/1/download"},{"rel":"org","href":"/orgs/dataviruset"},{"rel":"images","href":"/dashboards/10559/images"},{"rel":"thumbnails","href":"/dashboards/10559/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16359,"status":1,"statusCode":"active","orgId":656432,"orgSlug":"leohoster","orgName":"leohoster","slug":"etcd","downloads":1034,"revisionId":24932,"revision":1,"name":"etcd","description":"etcd sample Grafana dashboard with 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Kubernetes, but have adapted it for use with a Kubernetes control plane etcd cluster. It maybe needs a bit of refinement and some instance selectors, but otherwise should provide a lot of information about the health of the cluster and make it obvious what the cluster is doing. This probably won't work amazingly well for an etcd cluster deployed in Kubernetes itself as ideally the 'pod' label would be used instead of the 'instance' label, and there is no filtering. Please provide feedback and we can work together to make it better :)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-11-07T22:01:39.000Z","updatedAt":"2025-09-15T12:55:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22236"},{"rel":"revisions","href":"/dashboards/22236/revisions"},{"rel":"revision","href":"/dashboards/22236/revisions/4"},{"rel":"download","href":"/dashboards/22236/revisions/4/download"},{"rel":"org","href":"/orgs/uhthomas"},{"rel":"images","href":"/dashboards/22236/images"},{"rel":"thumbnails","href":"/dashboards/22236/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23560,"status":1,"statusCode":"active","orgId":744070,"orgSlug":"ykj373998035","orgName":"ykj373998035","slug":"etcd","downloads":302,"revisionId":37508,"revision":1,"name":"etcd  重要指标监控","description":"Etcd Dashboard for Prometheus metrics scraper","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-06-16T09:43:07.000Z","updatedAt":"2025-06-16T09:46:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23560"},{"rel":"revisions","href":"/dashboards/23560/revisions"},{"rel":"revision","href":"/dashboards/23560/revisions/1"},{"rel":"download","href":"/dashboards/23560/revisions/1/download"},{"rel":"org","href":"/orgs/ykj373998035"},{"rel":"images","href":"/dashboards/23560/images"},{"rel":"thumbnails","href":"/dashboards/23560/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3070,"status":1,"statusCode":"active","orgId":82378,"orgSlug":"vincemd","orgName":"Vincent Brouillet","slug":"etcd","downloads":407140,"revisionId":4306,"revision":3,"name":"Etcd by Prometheus","description":"Etcd Dashboard for Prometheus metrics scraper","readme":"Tested with:\r\n- kube-aws 0.9.7\r\n- Kubernetes 1.6\r\n- Prometheus Operator 0.11.1\r\n- Prometheus 1.7.0\r\n\r\nThe Etcd cluster is running outside of Kubernetes on EC2 instances. I've used Prometheus Operator ServiceMonitor to scrape the data.\r\n\r\nInspired from:\r\n\r\n- CoreOs Etcd metrics doc: https://coreos.com/etcd/docs/latest/metrics.html\r\n\r\n- https://github.com/lwolf/kube-monitoring/blob/master/dashboards/etcd-overview.json\r\n\r\nPlease contribute, comment, feedback, suggestions here: https://github.com/VinceMD/Grafana-Dashboards/blob/master/etcd-prometheus-dashboard.json","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-09-01T05:32:01.000Z","updatedAt":"2017-09-06T00:00:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/3070"},{"rel":"revisions","href":"/dashboards/3070/revisions"},{"rel":"revision","href":"/dashboards/3070/revisions/3"},{"rel":"download","href":"/dashboards/3070/revisions/3/download"},{"rel":"org","href":"/orgs/vincemd"},{"rel":"images","href":"/dashboards/3070/images"},{"rel":"thumbnails","href":"/dashboards/3070/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15308,"status":1,"statusCode":"active","orgId":413891,"orgSlug":"lux4rd0labs","orgName":"Lux4rd0 Labs","slug":"etcd-cluster-overview","downloads":116115,"revisionId":22996,"revision":1,"name":"Etcd Cluster 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containers)","readme":"Etcd Dashboard from Prometheus for clusters running etcd as processes (not containers). \r\n\r\nInformation:\r\n- General Status\r\n- Per member Ops info such as if a defragmentation is needed, or how much space left the DB have between used space and available quota backend bytes.\r\n- General observability about keys, client traffic, peer traffic, I/O latency, 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3.3.10\n你可以进行尝试，是否能够正常抓取数据。\n\n如果有必要，你应该需要添加一个组，这样方便管理\n```\n      labels:\n        group: 'etcd\n```\ntls的证书需要加上，如果有必要的话\n```\n  - job_name: 'etcd'\n    metrics_path: /metrics\n    scheme: https\n    tls_config:\n      cert_file: 'ssl/server.pem'\n      key_file: 'ssl/server-key.pem'\n      insecure_skip_verify: true\n    static_configs:\n    - targets: \n      - '172.25.50.16:2379'\n      - '172.25.50.17:2379'\n      - '172.25.50.18:2379'\n      labels:\n        group: 'etcd\n```\n你应该使用curl命令查看是否能够正常的访问\n```\ncurl -Lk --cert ./server.pem --key ./server-key.pem  https://IPADDR:2379/metrics\n```\n\ngayhub： `https://github.com/marksugar/promcr#etcd`\n\n假如你想尝试自定义k8s监控，可参考： `https://github.com/marksugar/k8s-pgmon` ，这是一个测试","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-01-31T08:12:17.000Z","updatedAt":"2019-01-31T08:22:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9733"},{"rel":"revisions","href":"/dashboards/9733/revisions"},{"rel":"revision","href":"/dashboards/9733/revisions/1"},{"rel":"download","href":"/dashboards/9733/revisions/1/download"},{"rel":"org","href":"/orgs/marksugar"},{"rel":"images","href":"/dashboards/9733/images"},{"rel":"thumbnails","href":"/dashboards/9733/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9618,"status":1,"statusCode":"active","orgId":228313,"orgSlug":"seventeenwen","orgName":"seventeenwen","slug":"etcd-dashboard","downloads":1035,"revisionId":13324,"revision":1,"name":"etcd的简洁dashboard","description":"简洁的etcd监控模板","readme":"promethues配置：\n- job_name: \"etcd\"\n    scrape_interval: 10s\n    scrape_timeout: 10s\n    static_configs:\n    - targets: [\"10.210.28.165:2379\",\"10.210.28.164:2379\",\"10.210.28.161:2379\"]\n      labels:\n        env: \"pro\"\n        group: \"etcd\"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-01-10T09:33:07.000Z","updatedAt":"2019-01-10T09:42:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9618"},{"rel":"revisions","href":"/dashboards/9618/revisions"},{"rel":"revision","href":"/dashboards/9618/revisions/1"},{"rel":"download","href":"/dashboards/9618/revisions/1/download"},{"rel":"org","href":"/orgs/seventeenwen"},{"rel":"images","href":"/dashboards/9618/images"},{"rel":"thumbnails","href":"/dashboards/9618/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15432,"status":1,"statusCode":"active","orgId":567855,"orgSlug":"kridsanapongink","orgName":"kridsanapongink","slug":"ete-greenhouse","downloads":303,"revisionId":23271,"revision":1,"name":"ETE Greenhouse","description":"ETE Greenhouse","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2021-12-23T03:12:44.000Z","updatedAt":"2021-12-23T03:14:49.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15432"},{"rel":"revisions","href":"/dashboards/15432/revisions"},{"rel":"revision","href":"/dashboards/15432/revisions/1"},{"rel":"download","href":"/dashboards/15432/revisions/1/download"},{"rel":"org","href":"/orgs/kridsanapongink"},{"rel":"images","href":"/dashboards/15432/images"},{"rel":"thumbnails","href":"/dashboards/15432/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":20223,"status":1,"statusCode":"active","orgId":1020541,"orgSlug":"yorickdowne","orgName":"yorickdowne","slug":"eth-docker-logs","downloads":5325423,"revisionId":31143,"revision":1,"name":"ETH Docker Logs","description":"Easily view the last x minutes of logs from ETH Docker 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It comes with support for outputting log files from the consensus, execution, and validator docker containers, which you can check yourself on the command line, but this is a handy dashboard that pulls them all together in one place.\r\n\r\nIt also makes it nice to search log files by date at the same time, which is nice for tracking down what happened at a specific time.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2023-12-30T14:44:12.000Z","updatedAt":"2023-12-30T14:52:04.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20223"},{"rel":"revisions","href":"/dashboards/20223/revisions"},{"rel":"revision","href":"/dashboards/20223/revisions/1"},{"rel":"download","href":"/dashboards/20223/revisions/1/download"},{"rel":"org","href":"/orgs/yorickdowne"},{"rel":"images","href":"/dashboards/20223/images"},{"rel":"thumbnails","href":"/dashboards/20223/thumbnails"}],"datasourceSlugs":["loki"]},{"id":18700,"status":1,"statusCode":"active","orgId":766082,"orgSlug":"cryptoai","orgName":"cryptoai","slug":"eth-docker-logs","downloads":932946,"revisionId":28683,"revision":1,"name":"ETH Docker Logs","description":"Easily view the last x minutes of logs from ETH Docker (https://eth-docker.net/)  containers via Loki data source","readme":"Are you running ETHDocker (https://eth-docker.net/)? It comes with support for outputting log files from the consensus, execution, and validator docker containers, which you can check yourself on the command line, but this is a handy dashboard that pulls them all together in one place.\r\n\r\nIt also makes it nice to search log files by date at the same time, which is nice for tracking down what happened at a specific time.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2023-05-09T07:28:55.000Z","updatedAt":"2023-05-09T07:36:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18700"},{"rel":"revisions","href":"/dashboards/18700/revisions"},{"rel":"revision","href":"/dashboards/18700/revisions/1"},{"rel":"download","href":"/dashboards/18700/revisions/1/download"},{"rel":"org","href":"/orgs/cryptoai"},{"rel":"images","href":"/dashboards/18700/images"},{"rel":"thumbnails","href":"/dashboards/18700/thumbnails"}],"datasourceSlugs":["loki"]},{"id":13481,"status":1,"statusCode":"active","orgId":320001,"orgSlug":"doubtingben","orgName":"doubtingben","slug":"eth-validators","downloads":739,"revisionId":19690,"revision":1,"name":"Eth validators","description":"Beta dashboard for ethereum staking deployment","readme":"This dashboard is to display information about an ethereum staking deployment.\n\nIn order to get a full view, the following metric endpoints are used:\n- node_exporter\n- process_exporter\n- geth_exporter\n- geth_metrics_expars\n- lighthouse beacon_node metrics endpoint\n- lighthouse validation_client endpoint\n\nI'll update this with a link to an example deployment with Docker and Grafana Cloud.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-29T17:40:40.000Z","updatedAt":"2020-11-29T17:58:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13481"},{"rel":"revisions","href":"/dashboards/13481/revisions"},{"rel":"revision","href":"/dashboards/13481/revisions/1"},{"rel":"download","href":"/dashboards/13481/revisions/1/download"},{"rel":"org","href":"/orgs/doubtingben"},{"rel":"images","href":"/dashboards/13481/images"},{"rel":"thumbnails","href":"/dashboards/13481/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6970,"status":1,"statusCode":"active","orgId":125393,"orgSlug":"hunterlong","orgName":"hunterlong","slug":"eth-exporter","downloads":559,"revisionId":9487,"revision":1,"name":"Ethereum Exporter","description":"Graph Ethereum Wallet Balances with ease","readme":"# Ethereum Exporter [![Docker Build Status](https://img.shields.io/docker/build/hunterlong/ethexporter.svg)](https://hub.docker.com/r/hunterlong/ethexporter/)\r\nA lightweight [Prometheus exporter](https://github.com/hunterlong/ethexporter) that will output Ethereum wallet balances from a list of addresses you specify. ETHexporter attaches to a geth server to fetch ethereum wallet balances for your Grafana dashboards. Many of you probably want to chart your ERC20 token balances, feel free to use TOKENexporter. If you also want a Bitcoin prometheus exporter, you can use BTCexporter which uses blockchain.info API.\r\n\r\nView [ETHexporter Github Repo](https://github.com/hunterlong/ethexporter) to learn how to get this running quickly within a Docker container.\r\n\r\n## Docker\r\nRun this exporter inside a Docker container with your `addresses.txt` file mounted to `/app/addresses.txt`\r\n```\r\ndocker run -it -d -p 9015:9015 \\\r\n  -e \"GETH=https://mainnet.infura.io/****KEYHERE\" \\\r\n  -v /myfolder/addresses.txt:/app/addresses.txt \\\r\n  hunterlong/ethexporter\r\n```\r\n\r\n## Ethereum Addresses to Watch\r\nThe addresses.txt file holds all the addresses to fetch balances for. Use the format name:address on each new line.\r\n```\r\netherdelta:0x8d12A197cB00D4747a1fe03395095ce2A5CC6819\r\nbittrex:0xFBb1b73C4f0BDa4f67dcA266ce6Ef42f520fBB98\r\n```\r\n\r\n## Prometheus Exporter Response\r\nThis is the `/metrics` response from the ETH Exporter with sample addresses.\r\n```\r\neth_balance{name=\"etherdelta\",address=\"0x8d12A197cB00D4747a1fe03395095ce2A5CC6819\"} 24919.37437\r\neth_balance{name=\"bittrex\",address=\"0xFBb1b73C4f0BDa4f67dcA266ce6Ef42f520fBB98\"} 687509.5097\r\neth_balance{name=\"poloniex\",address=\"0x32Be343B94f860124dC4fEe278FDCBD38C102D88\"} 72284.47401\r\neth_balance{name=\"kraken\",address=\"0x267be1c1d684f78cb4f6a176c4911b741e4ffdc0\"} 159592.0022\r\neth_balance_total 944305.360280000022612512\r\neth_load_seconds 1.15\r\neth_loaded_addresses 4\r\neth_total_addresses 4\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-13T21:02:58.000Z","updatedAt":"2018-07-14T00:49:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/6970"},{"rel":"revisions","href":"/dashboards/6970/revisions"},{"rel":"revision","href":"/dashboards/6970/revisions/1"},{"rel":"download","href":"/dashboards/6970/revisions/1/download"},{"rel":"org","href":"/orgs/hunterlong"},{"rel":"images","href":"/dashboards/6970/images"},{"rel":"thumbnails","href":"/dashboards/6970/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16395,"status":1,"statusCode":"active","orgId":455107,"orgSlug":"puritydev","orgName":"puritydev","slug":"ethereum-merge","downloads":372,"revisionId":25247,"revision":5,"name":"Ethereum Merge","description":"A companion dashboard for observing the merge with 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The main github repo - [https://github.com/miningtools/ewbf-collect](https://github.com/miningtools/ewbf-collect)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-08-14T09:32:08.000Z","updatedAt":"2018-08-14T09:52:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7530"},{"rel":"revisions","href":"/dashboards/7530/revisions"},{"rel":"revision","href":"/dashboards/7530/revisions/1"},{"rel":"download","href":"/dashboards/7530/revisions/1/download"},{"rel":"org","href":"/orgs/tsab"},{"rel":"images","href":"/dashboards/7530/images"},{"rel":"thumbnails","href":"/dashboards/7530/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15080,"status":1,"statusCode":"active","orgId":543680,"orgSlug":"hamedkarbasi93","orgName":"hamedkarbasi93","slug":"mahta-load-test","downloads":1525,"revisionId":22551,"revision":1,"name":"Exa Advanced k6 Dashboard","description":"An advanced dashboard for visualizing results from the k6.io load testing tool, using the InfluxDB exporter to track and watch requests with their status codes and latencies.","readme":"A dashboard for visualizing results from the k6.io load testing tool, using the InfluxDB to track and watch requests with their status codes and latencies. This helps to find bottlenecks and failure points easier.\nThe following panels are added to currently available dashboards:\n1. \"Annotated Tests\" table to access tests cycles easier.\n2. \"Requests Success and Failure Stats\" table to track success and failed endpoints with their status codes.\n3. \"Successful Requests Latency\" table to watch slow and fast requests with more detail.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-10-05T15:39:33.000Z","updatedAt":"2021-10-05T16:04:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15080"},{"rel":"revisions","href":"/dashboards/15080/revisions"},{"rel":"revision","href":"/dashboards/15080/revisions/1"},{"rel":"download","href":"/dashboards/15080/revisions/1/download"},{"rel":"org","href":"/orgs/hamedkarbasi93"},{"rel":"images","href":"/dashboards/15080/images"},{"rel":"thumbnails","href":"/dashboards/15080/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24635,"status":1,"statusCode":"active","orgId":262585,"orgSlug":"jgrund","orgName":"DDN","slug":"exascaler-sfa-aggregated-stats-multi-appliance","downloads":24,"revisionId":39470,"revision":1,"name":"EXAScaler – SFA Aggregated Stats (Multi-Appliance)","description":"Delivers a consolidated performance overview across multiple DDN SFA storage appliances. This dashboard aggregates Virtual Disk (VD) and Physical Disk (PD) metrics including throughput, IOPS, average latency, and IO size distributions, enabling fleet-wide capacity planning and performance comparison.","readme":"**SFA Aggregated Stats (Multi-Appliance)**\r\nThe SFA Multi-Appliance dashboard provides a unified view of performance across multiple DDN SFA storage appliances. It visualizes aggregated VD and PD throughput, IOPS, average latency trends, and IO size patterns. This dashboard enables administrators to compare appliance performance, detect outliers, and monitor fleet-wide storage health.\r\n\r\n**What This Dashboard Shows**\r\n\r\n**VD Throughput/IOPS/Latency**\r\n\r\nPanels derived from SFA exporter metrics:\r\n- Combined VD Throughput across selected appliances (Read/Write/Fwd/Unmap)\r\n- Combined VD IOPS\r\n- Average VD Read/Write Latency per appliance (trend comparison)\r\n- VD IO Size Distribution (Read/Write/Combined pie charts)\r\n\r\n**PD Throughput/IOPS/Latency**\r\n\r\n Physical disk level metrics:\r\n- Combined PD Throughput across selected appliances\r\n- Combined PD IOPS\r\n- Average PD Read/Write Latency per appliance\r\n\r\n**How Metrics Are Collected**\r\n\r\nMetrics for this dashboard are collected using:\r\n\r\n- OpenTelemetry Collector\r\n- Configured with a Prometheus receiver to scrape:\r\n- SFA Exporter (DDN SFA appliance metrics via API)\r\n\r\n**Notes**\r\n\r\n- This dashboard is parameterized via $cluster and $sfa_host (multi-select) variables.\r\n- All queries use PromQL and are compatible with any Prometheus remote-read endpoint.\r\n- For detailed per-disk analysis, use the Single Appliance dashboard.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-01-05T15:01:21.000Z","updatedAt":"2026-01-07T08:39:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24635"},{"rel":"revisions","href":"/dashboards/24635/revisions"},{"rel":"revision","href":"/dashboards/24635/revisions/1"},{"rel":"download","href":"/dashboards/24635/revisions/1/download"},{"rel":"org","href":"/orgs/jgrund"},{"rel":"images","href":"/dashboards/24635/images"},{"rel":"thumbnails","href":"/dashboards/24635/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24634,"status":1,"statusCode":"active","orgId":262585,"orgSlug":"jgrund","orgName":"DDN","slug":"exascaler-sfa-stats-single-appliance","downloads":16,"revisionId":39469,"revision":1,"name":"EXAScaler – SFA Stats (Single Appliance)","description":"Provides comprehensive performance monitoring for an individual DDN SFA storage appliance. This dashboard presents detailed metrics for Virtual Disks (VD) and Physical Disks (PD), including throughput, IOPS, read/write latency, and IO size distribution histograms. Additional panels display per-controller (C0/C1) throughput and IOPS breakdowns for granular performance analysis.","readme":"**SFA Stats (Single Appliance)**\r\n\r\nThe SFA Single Appliance dashboard provides detailed, real-time monitoring for an individual DDN SFA storage appliance. It visualizes Virtual Disk (VD) and Physical Disk (PD) performance including throughput, IOPS, latency heatmaps, and IO size distribution. This dashboard helps administrators identify disk-level bottlenecks, performance imbalances, and latency outliers within a single appliance.\r\n\r\n**What This Dashboard Shows**\r\n\r\n**VD Throughput/IOPS/Latency**\r\n\r\nPanels derived from SFA exporter metrics:\r\n- Aggregate VD Throughput (Read/Write/Fwd/Unmap)\r\n- Aggregate VD IOPS\r\n- Per-VD Read/Write Throughput and IOPS (stacked for balance analysis)\r\n- VD Read/Write Latency Heatmaps (outlier detection)\r\n- VD IO Size Distribution (Read/Write/Combined pie charts)\r\n\r\n**PD Throughput/IOPS/Latency**\r\n\r\nPhysical disk level metrics:\r\n- Aggregate PD Throughput (Read/Write/Fwd/Unmap)\r\n- Aggregate PD IOPS\r\n- Per-PD Read/Write Throughput and IOPS\r\n- PD Read/Write Latency Heatmaps\r\n- PD IO Size Distribution\r\n\r\n**How Metrics Are Collected**\r\n\r\nMetrics for this dashboard are collected using:\r\n- OpenTelemetry Collector\r\n- Configured with a Prometheus receiver to scrape:\r\n- SFA Exporter (DDN SFA appliance metrics via API)\r\n\r\n**Notes**\r\n\r\n- This dashboard is parameterized via $cluster and $sfa_host variables.\r\n- All queries use PromQL and are compatible with any Prometheus remote-read endpoint.\r\n- For fleet-wide monitoring, use the Multi-Appliance dashboard.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-01-05T14:09:35.000Z","updatedAt":"2026-01-07T08:40:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24634"},{"rel":"revisions","href":"/dashboards/24634/revisions"},{"rel":"revision","href":"/dashboards/24634/revisions/1"},{"rel":"download","href":"/dashboards/24634/revisions/1/download"},{"rel":"org","href":"/orgs/jgrund"},{"rel":"images","href":"/dashboards/24634/images"},{"rel":"thumbnails","href":"/dashboards/24634/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24514,"status":1,"statusCode":"active","orgId":262585,"orgSlug":"jgrund","orgName":"DDN","slug":"exascaler-overview","downloads":200,"revisionId":39248,"revision":1,"name":"EXAScaler Overview","description":"The EXAScaler Overview dashboard provides a unified, real-time view of filesystem health and performance across MDS, OSS, clients, and networking layers. It highlights critical KPIs such as IOPS, throughput, latency, MDT/OST capacity, LNet traffic, job activity, and cluster resource utilization. This dashboard enables quick detection of bottlenecks, anomaly patterns, and imbalances across the Lustre stack, helping administrators troubleshoot faster and maintain optimal system performance.","readme":"**EXAScaler Overview Dashboard**\r\n\r\nThis dashboard provides a complete operational view of DDN EXAScaler (Lustre) performance and health.\r\nIt visualizes node-level system metrics, filesystem behavior, metadata activity, and IO patterns across MDS, OSS, and client nodes — helping administrators quickly diagnose performance issues, imbalance, or bottlenecks.\r\n\r\n**What This Dashboard Shows**\r\n\r\n**Node System Metrics**\r\n\r\n- Panels derived from node_cpu_seconds_total and memory metrics:\r\n- CPU Usage (user, system, iowait, etc.)\r\n- Memory Usage (used, cached, buffer, slab, free)\r\n- These provide a baseline view of node saturation and hardware utilization.\r\n\r\n**Filesystem Status**\r\n\r\n- Using Lustre exporter metrics:\r\n- Number of exported targets for the filesystem\r\n- Number of connected clients\r\n- This indicates cluster size, active nodes, and connectivity health.\r\n\r\n**IO Throughput**\r\n\r\n- Panels show aggregated and per-target throughput using:\r\n- lustre_read_bytes_total\r\n- lustre_write_bytes_total\r\n- Metrics include:\r\n- Aggregate filesystem throughput (read/write)\r\n- Throughput per OST\r\n- Metadata throughput (MDT reads/writes)\r\n\r\n**IOPS**\r\n\r\n- Using lustre_read_samples_total / lustre_write_samples_total:\r\n- Aggregate data IOPS\r\n- IOPS per OST\r\n- Understanding which targets receive the highest IO pressure.\r\n\r\n**Metadata Operations**\r\n\r\n- Based on lustre_stats_total:\r\n- Metadata ops by operation type (lookup, getattr, setattr, create, unlink, etc.)\r\n- Metadata ops trend panel\r\n- Metadata ops per-target\r\n- This helps identify whether metadata-heavy workloads are causing bottlenecks.\r\n\r\n**IO Size Distribution**\r\n\r\n- Using lustre_disk_io_total:\r\n- Pie-chart of read/write IO sizes\r\n- Time-series view of IO size distribution\r\n- This captures workload patterns (small IO, streaming IO, mixed IO).\r\n\r\n**How Metrics Are Collected**\r\n\r\n- Metrics for this dashboard are collected using:\r\n- OpenTelemetry Collector\r\n- Configured with a Prometheus receiver to scrape:\r\n- Node Exporter (CPU/memory)\r\n- Lustre Exporter (Lustre OSS/MDS/Client metrics)\r\n\r\n\r\n**Notes**\r\n\r\n- This dashboard is parameterized to support multiple EXAScaler clusters and filesystems via $cluster and $filesystemvariables.\r\n- All queries use PromQL and are compatible with any Prometheus remote-read endpoint.\r\n- Logs, traces, and alerting integrate with OTEL in future phases of EXAScaler Observability.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-12-05T16:03:25.000Z","updatedAt":"2025-12-06T13:48:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24514"},{"rel":"revisions","href":"/dashboards/24514/revisions"},{"rel":"revision","href":"/dashboards/24514/revisions/1"},{"rel":"download","href":"/dashboards/24514/revisions/1/download"},{"rel":"org","href":"/orgs/jgrund"},{"rel":"images","href":"/dashboards/24514/images"},{"rel":"thumbnails","href":"/dashboards/24514/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4755,"status":1,"statusCode":"active","orgId":114956,"orgSlug":"hapito","orgName":"hapito","slug":"exchange-copy","downloads":1582,"revisionId":10442,"revision":2,"name":"Exchange Copy","description":"","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"exec","datasource":"InfluxDB, Prometheus","privacy":"public","createdAt":"2018-02-19T15:49:34.000Z","updatedAt":"2018-08-24T14:30:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4755"},{"rel":"revisions","href":"/dashboards/4755/revisions"},{"rel":"revision","href":"/dashboards/4755/revisions/2"},{"rel":"download","href":"/dashboards/4755/revisions/2/download"},{"rel":"org","href":"/orgs/hapito"},{"rel":"images","href":"/dashboards/4755/images"},{"rel":"thumbnails","href":"/dashboards/4755/thumbnails"}],"datasourceSlugs":["influxdb","prometheus"]},{"id":15874,"status":1,"statusCode":"active","orgId":611003,"orgSlug":"empathy","orgName":"empathy","slug":"exec-kubernetes-cost-report","downloads":681,"revisionId":24230,"revision":2,"name":"Exec Kubernetes Cost Report","description":"","readme":"High level Exec Kubernetes Cost Report, \r\n\r\n-   Exec Kubernetes Cost Report\r\n    \r\n    -   Cluster\r\n        \r\n        -   Daily Cost\r\n            \r\n        -   Estimated Monthly Cost (Based on last 3 Days)\r\n            \r\n    -   Namespace Resources Requested\r\n        \r\n        -   Top 6 Resource Requests Daily Cost\r\n            \r\n        -   Top 6 CPU Resource Requests Daily Cost\r\n            \r\n        -   Top 6 Memory Requests Daily Cost\r\n            \r\n        -   Top 10 Resource Requests Daily Cost Per Pod\r\n            \r\n        -   Top 6 Disk Monthly Cost\r\n            \r\n    -   Namespace Resources Used\r\n        \r\n        -   Top 6 Usage Daily Cost\r\n            \r\n        -   Top 6 CPU Usage Daily Cost\r\n            \r\n        -   Top 6 Memory Usage Daily Cost\r\n            \r\n        -   Top 10 Usage Daily Cost Per Pod","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-03-10T16:28:07.000Z","updatedAt":"2022-03-23T09:27:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15874"},{"rel":"revisions","href":"/dashboards/15874/revisions"},{"rel":"revision","href":"/dashboards/15874/revisions/2"},{"rel":"download","href":"/dashboards/15874/revisions/2/download"},{"rel":"org","href":"/orgs/empathy"},{"rel":"images","href":"/dashboards/15874/images"},{"rel":"thumbnails","href":"/dashboards/15874/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22210,"status":1,"statusCode":"active","orgId":771766,"orgSlug":"cumulopro","orgName":"cumulopro","slug":"exocore-dashboard-by-cumulo","downloads":269,"revisionId":34899,"revision":1,"name":"Exocore Dashboard by Cumulo","description":"This dashboard provides a comprehensive overview of the health and performance of a Exocore blockchain node. It monitors sync status, consensus metrics, block processing times, transaction activity, validator participation, and system resource usage. The dashboard helps identify network issues, node performance bottlenecks, and memory management efficiency, offering critical insights for maintaining an optimized and healthy node.\r\nFor detailed documentation of the metrics, visit:\r\nhttps://github.com/Cumulo-pro/ExocoreTools/blob/main/monitoring/exocore_metrics.md#block-interval-time-sum","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, Prometheus","privacy":"public","createdAt":"2024-11-04T08:20:31.000Z","updatedAt":"2024-11-04T08:22:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22210"},{"rel":"revisions","href":"/dashboards/22210/revisions"},{"rel":"revision","href":"/dashboards/22210/revisions/1"},{"rel":"download","href":"/dashboards/22210/revisions/1/download"},{"rel":"org","href":"/orgs/cumulopro"},{"rel":"images","href":"/dashboards/22210/images"},{"rel":"thumbnails","href":"/dashboards/22210/thumbnails"}],"datasourceSlugs":["__expr__","prometheus"]},{"id":20322,"status":1,"statusCode":"active","orgId":1031959,"orgSlug":"exorde","orgName":"exorde","slug":"exorde-api-demo","downloads":298,"revisionId":31395,"revision":2,"name":"Exorde API Demo","description":"","readme":"# Grafana demo dashboard\r\n\r\nThis dashboard is a demonstration of how you can play with [Exorde API](https://docs.exorde.io/) data in your internal dataviz tools. You can use it as a starting point to build your own dashboard or to explore Exorde API data.\r\n\r\nWith this dashboard, you can monitor the sentiment, the volume and trending keywords related to any topic tracked by Exorde. Just type the name of the topic you want to monitor in the search bar, then select it in the dropdown.\r\n\r\n## Installation instructions\r\n\r\n### Access the Exorde API\r\n\r\nFirst, to use the Exorde API, you need to create an account on [Exorde developers portal](https://developers.exorde.io/sign-up). You'll get 1000 free credits and an API generated on your first login. Keep it safe, you'll need it to authenticate your requests.\r\n\r\n### Run Grafana locally\r\n\r\nIf you don't have a Grafana instance, you can run one locally using a [docker container](https://grafana.com/docs/grafana/latest/setup-grafana/installation/docker/), listening on port 3000:\r\n\r\n```bash\r\ndocker run -d -p 3000:3000 \\\r\n  --name=grafana-exorde-demo \\\r\n  --env GF_INSTALL_PLUGINS=magnesium-wordcloud-panel,marcusolsson-json-datasource \\\r\n  grafana/grafana\r\n```\r\n\r\nGrafana is available at [http://localhost:3000](http://localhost:3000). The default username and password are both `admin`.\r\n\r\n**Note**: If you already have a Grafana instance, ensure that the [Word cloud](https://grafana.com/grafana/plugins/magnesium-wordcloud-panel/) and [JSON API\r\n](https://grafana.com/grafana/plugins/marcusolsson-json-datasource/) plugins are installed.\r\n\r\n### Connect Grafana to the Exorde API\r\n\r\nAdd a [JSON API](https://grafana.com/grafana/plugins/marcusolsson-json-datasource/) connector, to enable Grafana to query the Exorde API:\r\n\r\n1. Go to `Main menu` > `Connections` > `Data sources`.\r\n2. Click on `Add data source`.\r\n3. Type `JSON API` in the search bar.\r\n4. Click on `JSON API` data source.\r\n5. Fill the form:\r\n\r\n   - **Name**: `Exorde API`\r\n   - **URL**: `https://api.exorde.io`\r\n   - **Authentication**: `No Authentication`\r\n   - **HTTP Headers**: add the following headers:\r\n     - `Accept`: `application/json`\r\n     - `X-Exorde-Api-Version`: `v1`\r\n     - `Authorization`: `Bearer YOUR_API_KEY`\r\n\r\nClick on `Save & Test` to validate the connection.\r\n\r\n## Import the dashboard\r\n\r\nTo import the dashboard:\r\n\r\n1. Go to `Main menu` > `Dashboards` > `New` > `Import`.\r\n2. Paste the id of the dashboard in the `Grafana.com dashboard URL or ID` field: `20322`.\r\n3. Click on `Load`.\r\n4. Select the `Exorde API` data source.\r\n5. Click on `Import`.\r\n\r\n## How to use the dashboard\r\n\r\nStart by typing the name of the topic you want to monitor in the search bar, then select it in the dropdown.\r\n\r\n**Note**: The API returns up to 1 000 data points. If you have only partial results, please reduce the granularity.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"JSON API","privacy":"public","createdAt":"2024-01-17T10:45:59.000Z","updatedAt":"2024-01-24T13:41:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20322"},{"rel":"revisions","href":"/dashboards/20322/revisions"},{"rel":"revision","href":"/dashboards/20322/revisions/2"},{"rel":"download","href":"/dashboards/20322/revisions/2/download"},{"rel":"org","href":"/orgs/exorde"},{"rel":"images","href":"/dashboards/20322/images"},{"rel":"thumbnails","href":"/dashboards/20322/thumbnails"}],"datasourceSlugs":["marcusolsson-json-datasource"]},{"id":21251,"status":1,"statusCode":"active","orgId":1112662,"orgSlug":"euepicentre","orgName":"euepicentre","slug":"mcx-kpis-from-prometheus","downloads":271,"revisionId":33081,"revision":1,"name":"Experimentation monitoring & troubleshooting dashboard","description":"3GPP MCX KPIs KPIs from Prometheus","readme":"Dashboard for MCX metrics and KPIs monitoring, which allows to control the general behaviour of the MCX system regarding MCPTT calls mostly. KPIs monitored follow the standard definition in 3GPP TS 22.179 Mission Critical Push to Talk (MCPTT); Stage 1.\r\n \r\nAmong the MCX KPIs monitored the following can be founds: i) KPI1 MCPTT Access time (KPI1a and KPI1b); ii) KPI2 End-to-end MCPTT Access time; iii) KPI3 Mouth-to-ear latency; iv) KPI4 Late call entry time; and v) KPI7 MCPTT End-to-End Availability.\r\nKPIs 1, 2, and 3 are each one measured at multiple different stages of the procedure to deliver a finer level of detail in their monitorization. Some other extra metrics included are: i) Current MCPTT Private calls; ii) Current MCPTT Group calls; iii) Current MCPTT Group call participants; iv) Current MCPTT registered users; v) Current MCPTT maximum dialogs; vi) SIP registration time; vii) Multicall monitoring time; viii) Network change time; ix) Instantiation time; and x) Talk group merging time.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-07T08:58:16.000Z","updatedAt":"2024-06-07T09:41:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21251"},{"rel":"revisions","href":"/dashboards/21251/revisions"},{"rel":"revision","href":"/dashboards/21251/revisions/1"},{"rel":"download","href":"/dashboards/21251/revisions/1/download"},{"rel":"org","href":"/orgs/euepicentre"},{"rel":"images","href":"/dashboards/21251/images"},{"rel":"thumbnails","href":"/dashboards/21251/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16116,"status":1,"statusCode":"active","orgId":193429,"orgSlug":"aerospike","orgName":"Aerospike","slug":"exporters-view","downloads":366,"revisionId":29778,"revision":2,"name":"Exporters View","description":"Exporters dashboard helps verify if different aerospike exporter instances are up and running","readme":"Exporters View dashboard for [Aerospike Monitoring Stack](https://docs.aerospike.com/monitorstack)\r\n\r\nAerospike's Monitoring Stack extracts operational metrics from Aerospike database clusters for visualization and analysis in Prometheus and Grafana.\r\n\r\nSee [Aerospike Monitoring Stack Architecture](https://docs.aerospike.com/monitorstack/new/components-of-monitoring-stack) and [Aerospike Monitoring Stack Installation](https://docs.aerospike.com/monitorstack/new/installing-components) for more details","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-04-17T09:51:46.000Z","updatedAt":"2023-08-28T14:51:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16116"},{"rel":"revisions","href":"/dashboards/16116/revisions"},{"rel":"revision","href":"/dashboards/16116/revisions/2"},{"rel":"download","href":"/dashboards/16116/revisions/2/download"},{"rel":"org","href":"/orgs/aerospike"},{"rel":"images","href":"/dashboards/16116/images"},{"rel":"thumbnails","href":"/dashboards/16116/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24931,"status":1,"statusCode":"active","orgId":1155529,"orgSlug":"drew4373","orgName":"express.ms","slug":"express-ets","downloads":12,"revisionId":40052,"revision":1,"name":"eXpress ETS","description":"ETS Grafana Dashboard - https://express.ms/en/","readme":"eXpress — a standard for enterprise communication. Secure enterprise messenger with video conferences for 250+ participants. Reliable replacement for MS Teams, Slack, Zoom and other solutions\r\nAn employee’s personal account in a single business application. Protected On-Premise servers to control over data transfer.\r\n\r\nPrometheus Configuration\r\nETS Prometheus endpoint exposes detailed metrics about various sub-systems.\r\n\r\nThe Prometheus endpoint in ETS requires authentication by default.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-02-27T22:12:13.000Z","updatedAt":"2026-03-03T11:00:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24931"},{"rel":"revisions","href":"/dashboards/24931/revisions"},{"rel":"revision","href":"/dashboards/24931/revisions/1"},{"rel":"download","href":"/dashboards/24931/revisions/1/download"},{"rel":"org","href":"/orgs/drew4373"},{"rel":"images","href":"/dashboards/24931/images"},{"rel":"thumbnails","href":"/dashboards/24931/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16306,"status":1,"statusCode":"active","orgId":627725,"orgSlug":"matteodisabatino","orgName":"matteodisabatino","slug":"express-prometheus-middleware","downloads":623,"revisionId":35803,"revision":2,"name":"Express Prometheus Middleware","description":"This is the official Grafana dashboard for npm package @matteodisabatino/express-prometheus-middleware.\r\n\r\nATTENTION: to have information about usage of CPU and RAM node-exporter is required.\r\n\r\nSource code: https://github.com/matteodisabatino/express-prometheus-middleware/blob/main/grafana/Express%20Prometheus%20Middleware-1652991307983.json","readme":"This is the official Grafana dashboard for npm package @matteodisabatino/express-prometheus-middleware.\r\n\r\nATTENTION: to have information about usage of CPU and RAM node-exporter is required.\r\n\r\nSource code: https://github.com/matteodisabatino/express-prometheus-middleware/blob/main/grafana/Express%20Prometheus%20Middleware-1652991307983.json","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-05-19T20:16:04.000Z","updatedAt":"2025-01-16T14:00:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16306"},{"rel":"revisions","href":"/dashboards/16306/revisions"},{"rel":"revision","href":"/dashboards/16306/revisions/2"},{"rel":"download","href":"/dashboards/16306/revisions/2/download"},{"rel":"org","href":"/orgs/matteodisabatino"},{"rel":"images","href":"/dashboards/16306/images"},{"rel":"thumbnails","href":"/dashboards/16306/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21386,"status":1,"statusCode":"active","orgId":1155529,"orgSlug":"drew4373","orgName":"express.ms","slug":"express-single-cts","downloads":445,"revisionId":34020,"revision":4,"name":"eXpress Single CTS","description":"CTS Grafana Dashboard - https://express.ms/en/","readme":"eXpress — a standard for enterprise communication. Secure enterprise messenger with video conferences for 250+ participants. Reliable replacement for MS Teams, Slack, Zoom and other solutions\r\nAn employee’s personal account in a single business application. Protected On-Premise servers to control over data transfer.\r\n\r\nPrometheus Configuration\r\nCTS Prometheus endpoint exposes detailed metrics about various sub-systems.\r\n\r\nThe Prometheus endpoint in CTS requires authentication by default. ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2024-06-22T17:51:02.000Z","updatedAt":"2024-08-21T19:59:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21386"},{"rel":"revisions","href":"/dashboards/21386/revisions"},{"rel":"revision","href":"/dashboards/21386/revisions/4"},{"rel":"download","href":"/dashboards/21386/revisions/4/download"},{"rel":"org","href":"/orgs/drew4373"},{"rel":"images","href":"/dashboards/21386/images"},{"rel":"thumbnails","href":"/dashboards/21386/thumbnails"}]},{"id":24932,"status":1,"statusCode":"active","orgId":1155529,"orgSlug":"drew4373","orgName":"express.ms","slug":"express-voex","downloads":14,"revisionId":40053,"revision":1,"name":"eXpress VoEx","description":"VoEx Grafana Dashboard - https://express.ms/en/","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, Prometheus","privacy":"public","createdAt":"2026-02-27T22:18:39.000Z","updatedAt":"2026-03-03T10:59:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24932"},{"rel":"revisions","href":"/dashboards/24932/revisions"},{"rel":"revision","href":"/dashboards/24932/revisions/1"},{"rel":"download","href":"/dashboards/24932/revisions/1/download"},{"rel":"org","href":"/orgs/drew4373"},{"rel":"images","href":"/dashboards/24932/images"},{"rel":"thumbnails","href":"/dashboards/24932/thumbnails"}],"datasourceSlugs":["__expr__","prometheus"]},{"id":22603,"status":1,"statusCode":"active","orgId":1314164,"orgSlug":"vishalmishra84","orgName":"vishalmishra84","slug":"express-js-node-application-application-performance-dashboard","downloads":551,"revisionId":35606,"revision":1,"name":"Express.js Node Application Application Performance Dashboard","description":"Grafana Dashboard for Node.js Express App with Prometheus Metrics\r\nThis guide explains how to integrate Prometheus monitoring into a Node.js Express application using the prom-client library and visualize the collected metrics in Grafana. The solution leverages the express-prom-bundle middleware to expose key Prometheus metrics such as request duration, uptime, and more.\r\nGrafana Dashboard\r\nTo visualize the Prometheus metrics, Grafana is used to create dashboards that display the following:\r\n\r\nRequest Latency: Visualize HTTP request latency over time, helping you understand performance.\r\nApplication Health: Track the health of the application by monitoring the up metric.\r\nRequest Status Breakdown: View the breakdown of HTTP requests by status code, method, and path to identify potential bottlenecks or issues in the server's routing.\r\nWith this integration, you can easily monitor the health and performance of your Node.js Express application in a Grafana dashboard, powered by Prometheus as the data source.","readme":"# Grafana Dashboard for Node.js Express App with Prometheus Metrics\r\n\r\nThis project demonstrates how to integrate Prometheus monitoring into a Node.js Express application using the `prom-client` library and how to visualize the collected metrics using Grafana. It leverages the `express-prom-bundle` middleware to expose essential Prometheus metrics, which can be scraped by a Prometheus server for further visualization.\r\n\r\n## Table of Contents\r\n\r\n- [Overview](#overview)\r\n- [Installation](#installation)\r\n- [Usage](#usage)\r\n- [Grafana Dashboard](#grafana-dashboard)\r\n- [Metrics Explained](#metrics-explained)\r\n- [Licenses](#licenses)\r\n\r\n## Overview\r\n\r\nThis project uses the `express-prom-bundle` middleware, which integrates seamlessly with the `prom-client` library for Node.js. It exposes metrics for monitoring the performance of your Express.js server, including request duration, uptime, and more.\r\n\r\n### Metrics Supported\r\n\r\n- **up**: Indicates the health of the application (1 if the server is running, 0 if down).\r\n- **http_request_duration_seconds**: Measures HTTP request latencies, categorized by status code, HTTP method, and path.\r\n\r\nThis data is then scraped by a Prometheus server and visualized in a Grafana dashboard for better observability.\r\n\r\n## Installation\r\n\r\n### Prerequisites\r\n\r\nBefore using this solution, ensure you have:\r\n\r\n- Node.js (v14+ recommended)\r\n- Prometheus running to scrape the metrics\r\n- Grafana running for dashboard visualization\r\n\r\n### Steps\r\n\r\nFollow Steps here: [node-app-observability](https://github.com/vishalm/node-app-observability)\r\n\r\nYou can import the provided dashboard JSON file into Grafana by following these steps:\r\n\r\n1. Open Grafana and navigate to **Create > Import**.\r\n2. Upload the dashboard JSON file or use the provided ID to import it from the Grafana community dashboard.\r\n3. Once the dashboard is imported, configure the Prometheus data source and start exploring the metrics.\r\n\r\n## Metrics Explained\r\n\r\n### `up`\r\n- **Description**: A metric that indicates whether your application is running. It returns a value of `1` when your application is up and `0` when it is down.\r\n- **Labels**: None\r\n- **Example**: \r\n  ```prometheus\r\n  up{job=\"nodejs-app\"} 1\r\n  ```\r\n\r\n### `http_request_duration_seconds`\r\n- **Description**: A histogram metric that measures the duration of HTTP requests.\r\n- **Labels**:\r\n  - `status_code`: The HTTP status code of the response.\r\n  - `method`: The HTTP method (e.g., GET, POST).\r\n  - `path`: The route path (e.g., `/`, `/api/data`).\r\n- **Example**: \r\n  ```prometheus\r\n  http_request_duration_seconds_bucket{status_code=\"200\",method=\"GET\",path=\"/\"} 0.005\r\n  http_request_duration_seconds_count{status_code=\"200\",method=\"GET\",path=\"/\"} 100\r\n  http_request_duration_seconds_sum{status_code=\"200\",method=\"GET\",path=\"/\"} 5\r\n  ```\r\n\r\n## Licenses\r\n\r\nThis project is licensed under the [MIT License](LICENSE). Please refer to the individual libraries used in the project for their respective licenses:\r\n\r\n- [prom-client](https://github.com/siimon/prom-client)\r\n- [express-prom-bundle](https://github.com/siimon/express-prom-bundle)\r\n\r\n---\r\n\r\nBy following the above steps, you will be able to monitor and visualize key metrics for your Node.js Express application with Prometheus and Grafana!","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-01-02T15:24:03.000Z","updatedAt":"2025-01-02T15:38:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22603"},{"rel":"revisions","href":"/dashboards/22603/revisions"},{"rel":"revision","href":"/dashboards/22603/revisions/1"},{"rel":"download","href":"/dashboards/22603/revisions/1/download"},{"rel":"org","href":"/orgs/vishalmishra84"},{"rel":"images","href":"/dashboards/22603/images"},{"rel":"thumbnails","href":"/dashboards/22603/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15038,"status":1,"statusCode":"active","orgId":543377,"orgSlug":"danielsossick","orgName":"danielsossick","slug":"external-dns","downloads":11560525,"revisionId":30912,"revision":3,"name":"External DNS","description":"Grafana dashboard to display external-dns metrics","readme":"This dashboard requires external-dns to be running in the kubernetes cluster, this has been tested with \r\n* [Bitnami helm chart](https://artifacthub.io/packages/helm/bitnami/external-dns)\r\n* [kubernetes-sig helm chart](https://github.com/kubernetes-sigs/external-dns)\r\n\r\nDashboard displays external-dns [metrics](https://github.com/kubernetes-sigs/external-dns/blob/master/docs/faq.md#what-metrics-can-i-get-from-externaldns-and-what-do-they-mean)\r\n* external_dns_controller_last_sync_timestamp_seconds\r\n* external_dns_controller_last_reconcile_timestamp_seconds\r\n* external_dns_registry_endpoints_total\r\n* external_dns_registry_errors_total\r\n* external_dns_source_endpoints_total\r\n* external_dns_source_errors_total\r\n* external_dns_controller_verified_a_records\r\n* external_dns_controller_verified_aaaa_records\r\n* external_dns_registry_a_records\r\n* external_dns_registry_aaaa_records\r\n* external_dns_source_a_records\r\n* external_dns_source_aaaa_records\r\n* external_dns_controller_no_op_runs_total","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-09-22T16:21:43.000Z","updatedAt":"2023-12-08T08:13:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15038"},{"rel":"revisions","href":"/dashboards/15038/revisions"},{"rel":"revision","href":"/dashboards/15038/revisions/3"},{"rel":"download","href":"/dashboards/15038/revisions/3/download"},{"rel":"org","href":"/orgs/danielsossick"},{"rel":"images","href":"/dashboards/15038/images"},{"rel":"thumbnails","href":"/dashboards/15038/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23969,"status":1,"statusCode":"active","orgId":1519628,"orgSlug":"carlosmt86","orgName":"carlosmt86","slug":"external-dns","downloads":6193,"revisionId":38188,"revision":1,"name":"External DNS","description":"Grafana dashboard to display external-dns 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external_dns_controller_no_op_runs_total","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-08-27T11:36:08.000Z","updatedAt":"2025-08-28T06:58:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23969"},{"rel":"revisions","href":"/dashboards/23969/revisions"},{"rel":"revision","href":"/dashboards/23969/revisions/1"},{"rel":"download","href":"/dashboards/23969/revisions/1/download"},{"rel":"org","href":"/orgs/carlosmt86"},{"rel":"images","href":"/dashboards/23969/images"},{"rel":"thumbnails","href":"/dashboards/23969/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21640,"status":1,"statusCode":"active","orgId":90180,"orgSlug":"andrii29","orgName":"andrii29","slug":"external-secrets","downloads":7341353,"revisionId":33886,"revision":4,"name":"External Secrets","description":"Prometheus metrics for External 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Timeseries","description":"EMO","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2019-09-19T21:56:34.000Z","updatedAt":"2019-09-19T21:56:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10889"},{"rel":"revisions","href":"/dashboards/10889/revisions"},{"rel":"revision","href":"/dashboards/10889/revisions/1"},{"rel":"download","href":"/dashboards/10889/revisions/1/download"},{"rel":"org","href":"/orgs/rolfthu"},{"rel":"images","href":"/dashboards/10889/images"},{"rel":"thumbnails","href":"/dashboards/10889/thumbnails"}]},{"id":4923,"status":1,"statusCode":"active","orgId":106407,"orgSlug":"lcattani","orgName":"Leandro Cattani","slug":"f5-hardware-metrics","downloads":833,"revisionId":6543,"revision":1,"name":"F5 - Hardware metrics","description":"BIG-IP F5 system status snmp. ElasticSearch and Logstash.","readme":"logstash conf: \r\n\r\ninput {\r\n  exec {\r\n    codec => multiline {\r\n      pattern => \"EOF\"\r\n      what => \"previous\"\r\n    }\r\n    type => 'f5-metric-int'\r\n    command => 'snmpget -v2c -Cf -c public xxx.xxx.xxx.xxx -Os sysStatMemoryUsed.0 sysHostMemoryUsed.0 sysStatClientCurConns.0 sysStatServerCurConns.0 sysClientsslStatCurConns.0 sysServersslStatCurConns.0 sysGlobalHostSwapUsed.0 sysGlobalHostSwapTotal.0 sysStatClientBytesIn.0 sysStatClientBytesOut.0 sysStatServerBytesIn.0 sysStatServerBytesOut.0 sysStatHttpRequests.0 sysGlobalHostMemTotal.0 sysGlobalHostCpuUsageRatio5s.0 sysGlobalHostCpuIowait5s.0 sysGlobalHostCpuSoftirq5s.0 sysGlobalHostCpuIrq5s.0 sysGlobalHostCpuIdle5s.0 sysGlobalHostCpuSystem5s.0 sysGlobalHostCpuNice5s.0 sysGlobalHostCpuUser5s.0 | sed s/.0.=.//| sed s/Counter64\\:// | sed s/Gauge32\\:// |sed s/sysGlobalHost//|sed s/5s//'\r\n    interval => 5\r\n    add_field => [ \"server\", \"xxxxxxx\" ]\r\n  }\r\n  exec {\r\n    codec => multiline {\r\n      pattern => \"EOF\"\r\n      what => \"previous\"\r\n    }\r\n    type => 'f5-metric-ext'\r\n    command => 'snmpget -v2c -Cf -c public xxx.xxx.xxx.xxx  -Os sysStatMemoryUsed.0 sysHostMemoryUsed.0 sysStatClientCurConns.0 sysStatServerCurConns.0 sysClientsslStatCurConns.0 sysServersslStatCurConns.0 sysGlobalHostSwapUsed.0 sysGlobalHostSwapTotal.0 sysStatClientBytesIn.0 sysStatClientBytesOut.0 sysStatServerBytesIn.0 sysStatServerBytesOut.0 sysStatHttpRequests.0 sysGlobalHostMemTotal.0 sysGlobalHostCpuUsageRatio5s.0 sysGlobalHostCpuIowait5s.0 sysGlobalHostCpuSoftirq5s.0 sysGlobalHostCpuIrq5s.0 sysGlobalHostCpuIdle5s.0 sysGlobalHostCpuSystem5s.0 sysGlobalHostCpuNice5s.0 sysGlobalHostCpuUser5s.0 | sed s/.0.=.//| sed s/Counter64\\:// | sed s/Gauge32\\:// |sed s/sysGlobalHost//|sed s/5s//'\r\n    interval => 5\r\n    add_field => [ \"server\", \"xxxx2\" ]\r\n  }\r\n  exec {\r\n    codec => multiline {\r\n      pattern => \"EOF\"\r\n      what => \"previous\"\r\n    }\r\n    type => 'f5-metric-ext'\r\n    command => 'snmpget -v2c -Cf -c public xxx.xxx.xxx.xxx -Os sysStatMemoryUsed.0 sysHostMemoryUsed.0 sysStatClientCurConns.0 sysStatServerCurConns.0 sysClientsslStatCurConns.0 sysServersslStatCurConns.0 sysGlobalHostSwapUsed.0 sysGlobalHostSwapTotal.0 sysStatClientBytesIn.0 sysStatClientBytesOut.0 sysStatServerBytesIn.0 sysStatServerBytesOut.0 sysStatHttpRequests.0 sysGlobalHostMemTotal.0 sysGlobalHostCpuUsageRatio5s.0 sysGlobalHostCpuIowait5s.0 sysGlobalHostCpuSoftirq5s.0 sysGlobalHostCpuIrq5s.0 sysGlobalHostCpuIdle5s.0 sysGlobalHostCpuSystem5s.0 sysGlobalHostCpuNice5s.0 sysGlobalHostCpuUser5s.0 | sed s/.0.=.//| sed s/Counter64\\:// | sed s/Gauge32\\:// |sed s/sysGlobalHost//|sed s/5s//'\r\n    interval => 5\r\n    add_field => [ \"server\", \"xxxx3\" ]\r\n  }\r\n\r\n}\r\nfilter {\r\n  if [type] == \"f5-metric-int\" or [type] == \"f5-metric-ext\"  {\r\n    grok {\r\n      match => { \"message\" => \"%{DATA:parameter} %{NUMBER:value:int}\" }\r\n    }\r\n\r\n    mutate {\r\n      add_field => [ \"%{parameter}\",\"%{value}\" ]\r\n      convert => [ \"%{parameter}\", \"integer\" ]\r\n    }\r\n    mutate {\r\n        convert => [ \"CpuUser\", \"integer\"]\r\n        convert => [ \"CpuNice\", \"integer\"]\r\n        convert => [ \"CpuSystem\", \"integer\"]\r\n        convert => [ \"CpuIdle\", \"integer\"]\r\n        convert => [ \"CpuIrq\", \"integer\"]\r\n        convert => [ \"CpuSoftirq\", \"integer\"]\r\n        convert => [ \"CpuIowait\", \"integer\"]\r\n        convert => [ \"CpuUsageRatio\", \"integer\"]\r\n        convert => [ \"sysStatMemoryUsed\", \"integer\"]\r\n        convert => [ \"sysHostMemoryUsed\", \"integer\"]\r\n        convert => [ \"sysStatClientCurConns\", \"integer\"]\r\n        convert => [ \"sysStatServerCurConns\", \"integer\"]\r\n        convert => [ \"sysClientsslStatCurConns\", \"integer\"]\r\n        convert => [ \"sysServersslStatCurConns\", \"integer\"]\r\n        convert => [ \"SwapUsed\", \"integer\"]\r\n        convert => [ \"SwapTotal\", \"integer\"]\r\n        convert => [ \"sysStatClientBytesIn\", \"integer\"]\r\n        convert => [ \"sysStatClientBytesOut\", \"integer\"]\r\n        convert => [ \"sysStatServerBytesIn\", \"integer\"]\r\n        convert => [ \"sysStatServerBytesOut\", \"integer\"]\r\n        convert => [ \"sysStatHttpRequests\", \"integer\"]\r\n        convert => [ \"MemTotal\", \"integer\"]\r\n    }\r\n    mutate {\r\n      remove_field => [ \"message\" , \"parameter\", \"value\", \"command\" ]\r\n    }\r\n\r\n    date {\r\n      match => [ \"syslog_timestamp\", \"MMM  d HH:mm:ss\", \"MMM dd HH:mm:ss\" ]\r\n    }\r\n  }\r\n}\r\n\r\noutput {\r\n  elasticsearch { hosts => [\"xxx.xxx.xxx.xxx:9200\"]\r\n       index => \"logstash-f5-metric-%{+YYYY.MM.dd}\"\r\n       }\r\n        stdout { codec => rubydebug }\r\n\r\n}\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2018-03-01T14:58:28.000Z","updatedAt":"2018-03-06T17:11:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4923"},{"rel":"revisions","href":"/dashboards/4923/revisions"},{"rel":"revision","href":"/dashboards/4923/revisions/1"},{"rel":"download","href":"/dashboards/4923/revisions/1/download"},{"rel":"org","href":"/orgs/lcattani"},{"rel":"images","href":"/dashboards/4923/images"},{"rel":"thumbnails","href":"/dashboards/4923/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":12929,"status":1,"statusCode":"active","orgId":413408,"orgSlug":"biennt0979","orgName":"biennt0979","slug":"f5-big-ip","downloads":584,"revisionId":18703,"revision":1,"name":"F5 BIG-IP","description":"Very basic metrics on F5 BIG-IP","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-09-01T07:03:37.000Z","updatedAt":"2020-09-01T07:06:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12929"},{"rel":"revisions","href":"/dashboards/12929/revisions"},{"rel":"revision","href":"/dashboards/12929/revisions/1"},{"rel":"download","href":"/dashboards/12929/revisions/1/download"},{"rel":"org","href":"/orgs/biennt0979"},{"rel":"images","href":"/dashboards/12929/images"},{"rel":"thumbnails","href":"/dashboards/12929/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19135,"status":1,"statusCode":"active","orgId":895799,"orgSlug":"quanchenok","orgName":"quanchenok","slug":"f5-big-ip-dashboard","downloads":1262,"revisionId":29303,"revision":1,"name":"F5 BIG-IP Dashboard","description":"Main BIGIP Dashboard","readme":"F5 grafana / prometheus monitor：\r\n\r\nShow the following：\r\n1. Overall system performance, including CPU, content, throughput, concurrency, SSL performance, HTTP performance, etc.\r\n1. The overall state of the business system, including VS state\r\n2. Status of the backend resource pool\r\n3. The status of the backend server member\r\n4. Statistics related to system profile, such as TLS and HTTP","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-09T03:12:45.000Z","updatedAt":"2023-07-09T03:32:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19135"},{"rel":"revisions","href":"/dashboards/19135/revisions"},{"rel":"revision","href":"/dashboards/19135/revisions/1"},{"rel":"download","href":"/dashboards/19135/revisions/1/download"},{"rel":"org","href":"/orgs/quanchenok"},{"rel":"images","href":"/dashboards/19135/images"},{"rel":"thumbnails","href":"/dashboards/19135/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23256,"status":1,"statusCode":"active","orgId":423624,"orgSlug":"damettoluca","orgName":"Luca Dametto","slug":"f6005-monitoring","downloads":264,"revisionId":36866,"revision":2,"name":"F6005 Monitoring","description":"Monitoring for ZTE F6005v3 ONT","readme":"Data collected by https://github.com/lucathehacker/prometheusf6005","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-15T19:18:56.000Z","updatedAt":"2025-04-15T20:26:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23256"},{"rel":"revisions","href":"/dashboards/23256/revisions"},{"rel":"revision","href":"/dashboards/23256/revisions/2"},{"rel":"download","href":"/dashboards/23256/revisions/2/download"},{"rel":"org","href":"/orgs/damettoluca"},{"rel":"images","href":"/dashboards/23256/images"},{"rel":"thumbnails","href":"/dashboards/23256/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22385,"status":1,"statusCode":"active","orgId":179339,"orgSlug":"stadtfabrikanten","orgName":"Stadtfabrikanten e.V.","slug":"fabaccess","downloads":257,"revisionId":35579,"revision":2,"name":"FabAccess","description":"A dashboard to monitor the FabAccess Server (BFFH) machine state and different information of MQTT topics.\r\n\r\nThe board is under development.","readme":"The board is under development. Commits are welcome. Please visit the [FabAccess community](https://docs.fab-access.org/books/mitmachen-unterstutzen-join-the-community/page/werde-teil-der-fabinfra-community)\r\n\r\nThe project makes use of:\r\n- [mqtt-exporter](https://github.com/kpetremann/mqtt-exporter)\r\n- [FabAccess Prometheus Exporter](https://gitlab.com/fabinfra/fabaccess/prometheus-exporter)\r\n- Promtail + Loki\r\n\r\nDocumentation can be found at:\r\n[docs.fab-access.org](https://docs.fab-access.org/books/plugins-und-schnittstellen/page/monitoring-prometheus-grafana)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2024-11-19T21:00:24.000Z","updatedAt":"2024-12-28T00:38:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22385"},{"rel":"revisions","href":"/dashboards/22385/revisions"},{"rel":"revision","href":"/dashboards/22385/revisions/2"},{"rel":"download","href":"/dashboards/22385/revisions/2/download"},{"rel":"org","href":"/orgs/stadtfabrikanten"},{"rel":"images","href":"/dashboards/22385/images"},{"rel":"thumbnails","href":"/dashboards/22385/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":18730,"status":1,"statusCode":"active","orgId":848231,"orgSlug":"kahzerx","orgName":"kahzerx","slug":"fabric-minecraft-metrics","downloads":324,"revisionId":28741,"revision":1,"name":"Fabric Minecraft metrics","description":"Visualize your minecraft server metrics","readme":"Prometheus dashboard to visualize the data collected by the [black lotus smp exporter](https://github.com/BlackLotus-SMP/MetricsExporter).\r\n\r\nThe minecraft server also needs support for the [minecraft metrics protocol](https://github.com/BlackLotus-SMP/MetricsProtocol).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-05-12T20:45:39.000Z","updatedAt":"2023-05-12T21:26:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18730"},{"rel":"revisions","href":"/dashboards/18730/revisions"},{"rel":"revision","href":"/dashboards/18730/revisions/1"},{"rel":"download","href":"/dashboards/18730/revisions/1/download"},{"rel":"org","href":"/orgs/kahzerx"},{"rel":"images","href":"/dashboards/18730/images"},{"rel":"thumbnails","href":"/dashboards/18730/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4482,"status":1,"statusCode":"active","orgId":116445,"orgSlug":"emyrk","orgName":"emyrk","slug":"factomd-state","downloads":342,"revisionId":6021,"revision":1,"name":"factomd-state","description":"Factomd instrumentation related to state","readme":"# Factomd Grafana Dashboard\r\n\r\nThis dashboard is built to work with the community testnet node setup found here: https://github.com/FactomProject/communitytestnet","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-01-26T15:55:25.000Z","updatedAt":"2018-01-26T17:39:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4482"},{"rel":"revisions","href":"/dashboards/4482/revisions"},{"rel":"revision","href":"/dashboards/4482/revisions/1"},{"rel":"download","href":"/dashboards/4482/revisions/1/download"},{"rel":"org","href":"/orgs/emyrk"},{"rel":"images","href":"/dashboards/4482/images"},{"rel":"thumbnails","href":"/dashboards/4482/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":285,"status":1,"statusCode":"active","orgId":23094,"orgSlug":"ncabatoff","orgName":"ncabatoff","slug":"factorio","downloads":721,"revisionId":372,"revision":3,"name":"factorio","description":"See what's happening in your Factorio game.  Learn to use Prometheus and Grafana in the process.","readme":"Details of dashboard contents at https://github.com/ncabatoff/promfacto","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-08-07T16:50:15.000Z","updatedAt":"2016-08-08T03:55:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/285"},{"rel":"revisions","href":"/dashboards/285/revisions"},{"rel":"revision","href":"/dashboards/285/revisions/3"},{"rel":"download","href":"/dashboards/285/revisions/3/download"},{"rel":"org","href":"/orgs/ncabatoff"},{"rel":"images","href":"/dashboards/285/images"},{"rel":"thumbnails","href":"/dashboards/285/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20815,"status":1,"statusCode":"active","orgId":1089048,"orgSlug":"asherxhome","orgName":"asherxhome","slug":"science-production","downloads":270,"revisionId":32223,"revision":1,"name":"Factorio Clusterio - Science Production","description":"Factorio dashboard for Clusterio Mod Pack","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-01T01:19:37.000Z","updatedAt":"2024-04-01T01:23:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20815"},{"rel":"revisions","href":"/dashboards/20815/revisions"},{"rel":"revision","href":"/dashboards/20815/revisions/1"},{"rel":"download","href":"/dashboards/20815/revisions/1/download"},{"rel":"org","href":"/orgs/asherxhome"},{"rel":"images","href":"/dashboards/20815/images"},{"rel":"thumbnails","href":"/dashboards/20815/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20816,"status":1,"statusCode":"active","orgId":1089048,"orgSlug":"asherxhome","orgName":"asherxhome","slug":"ore-dashboard","downloads":267,"revisionId":32224,"revision":1,"name":"Factorio Clusterio Ore Dashboard","description":"Factorio Clusterio Ore Dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-01T01:25:18.000Z","updatedAt":"2024-04-01T01:27:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20816"},{"rel":"revisions","href":"/dashboards/20816/revisions"},{"rel":"revision","href":"/dashboards/20816/revisions/1"},{"rel":"download","href":"/dashboards/20816/revisions/1/download"},{"rel":"org","href":"/orgs/asherxhome"},{"rel":"images","href":"/dashboards/20816/images"},{"rel":"thumbnails","href":"/dashboards/20816/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10436,"status":1,"statusCode":"active","orgId":257359,"orgSlug":"artmares","orgName":"artmares","slug":"factorio-vanila-ores","downloads":328,"revisionId":14567,"revision":1,"name":"Factorio Vanila Ores","description":"Factorio Metrics","readme":"Visualization of metrics for the game Factorio","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-06-25T06:58:58.000Z","updatedAt":"2019-06-25T07:31:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10436"},{"rel":"revisions","href":"/dashboards/10436/revisions"},{"rel":"revision","href":"/dashboards/10436/revisions/1"},{"rel":"download","href":"/dashboards/10436/revisions/1/download"},{"rel":"org","href":"/orgs/artmares"},{"rel":"images","href":"/dashboards/10436/images"},{"rel":"thumbnails","href":"/dashboards/10436/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9629,"status":1,"statusCode":"active","orgId":228648,"orgSlug":"ochorocho","orgName":"ochorocho","slug":"fail2ban","downloads":7626,"revisionId":13344,"revision":1,"name":"Fail2ban","description":"Add fail2ban graph for ssh, purftp, dovecot, postfix","readme":"Show metrics for:\r\n* ssh\r\n* purftp\r\n* dovecot pop3imap\r\n* postfix sasl","collectorType":"nodeExporter","collectorConfig":"Use this python skript to export metrics\r\nhttps://github.com/jangrewe/prometheus-fail2ban-exporter","collectorPluginList":"Other","datasource":null,"privacy":"public","createdAt":"2019-01-11T23:29:50.000Z","updatedAt":"2020-12-30T01:11:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9629"},{"rel":"revisions","href":"/dashboards/9629/revisions"},{"rel":"revision","href":"/dashboards/9629/revisions/1"},{"rel":"download","href":"/dashboards/9629/revisions/1/download"},{"rel":"org","href":"/orgs/ochorocho"},{"rel":"images","href":"/dashboards/9629/images"},{"rel":"thumbnails","href":"/dashboards/9629/thumbnails"}]},{"id":16125,"status":1,"statusCode":"active","orgId":632832,"orgSlug":"phoenixashes","orgName":"phoenixashes","slug":"fail2ban","downloads":1155,"revisionId":24498,"revision":2,"name":"Fail2ban","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-04-17T15:06:31.000Z","updatedAt":"2022-04-20T21:49:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":3.5,"links":[{"rel":"self","href":"/dashboards/16125"},{"rel":"revisions","href":"/dashboards/16125/revisions"},{"rel":"revision","href":"/dashboards/16125/revisions/2"},{"rel":"download","href":"/dashboards/16125/revisions/2/download"},{"rel":"org","href":"/orgs/phoenixashes"},{"rel":"images","href":"/dashboards/16125/images"},{"rel":"thumbnails","href":"/dashboards/16125/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16628,"status":1,"statusCode":"active","orgId":674638,"orgSlug":"paultrout","orgName":"paultrout","slug":"fail2ban","downloads":334,"revisionId":25433,"revision":1,"name":"Fail2ban","description":"hdhsh","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"conntrack","datasource":"Prometheus","privacy":"public","createdAt":"2022-07-24T02:49:38.000Z","updatedAt":"2022-07-24T02:51:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16628"},{"rel":"revisions","href":"/dashboards/16628/revisions"},{"rel":"revision","href":"/dashboards/16628/revisions/1"},{"rel":"download","href":"/dashboards/16628/revisions/1/download"},{"rel":"org","href":"/orgs/paultrout"},{"rel":"images","href":"/dashboards/16628/images"},{"rel":"thumbnails","href":"/dashboards/16628/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22741,"status":1,"statusCode":"active","orgId":1060102,"orgSlug":"thecfu","orgName":"TheCfU","slug":"fail2ban","downloads":511,"revisionId":35876,"revision":1,"name":"Fail2ban","description":"Dashboard to have a Overview of the Fail2Ban logs collected via Promtail/Loki","readme":"This is my try to create a Dashboard that visualize the Logs of Fail2Ban. It integrates with the GeoLite Database to display a Heatmap.\r\n\r\nSince promtail got deprecated here is my Alloy Config:\r\n```yaml\r\n// Get the fail2ban log and integrate GeoIP\r\nlocal.file_match \"fail2ban\" {\r\n        path_targets = [{\r\n                __address__ = \"localhost\",\r\n                __path__    = \"/var/log/fail2ban.log\",\r\n                job         = \"fail2ban\",\r\n        }]\r\n}\r\nloki.process \"fail2ban\" {\r\n        forward_to = [loki.write.loki.receiver]\r\n\r\n        stage.multiline {\r\n                firstline     = \"\\\\d{4}-\\\\d{2}-\\\\d{2} \\\\d{2}:\\\\d{2}:\\\\d{2}\"\r\n                max_wait_time = \"10s\"\r\n        }\r\n\r\n        stage.regex {\r\n                expression = \"^(?s)(?P<time>\\\\S+? \\\\S+?) (fail2ban\\\\.)(?P<component>\\\\S+)\\\\s* \\\\[(?P<pid>\\\\S+)\\\\]: (?P<priority>\\\\S+)\\\\s* (?P<message>.*?)$\"\r\n        }\r\n\r\n        stage.timestamp {\r\n                source = \"time\"\r\n                format = \"2006-01-02 15:04:05,000\"\r\n        }\r\n\r\n        stage.labels {\r\n                values = {\r\n                        component = null,\r\n                        priority  = null,\r\n                }\r\n        }\r\n\r\n        stage.output {\r\n                source = \"message\"\r\n        }\r\n\tstage.match {\r\n                selector = \"{job=\\\"fail2ban\\\"} |~ \\\"\\\\\\\\\\\\\\\\[\\\\\\\\\\\\\\\\S+\\\\\\\\\\\\\\\\] .*\\\"\"\r\n\r\n                stage.regex {\r\n                        expression = \"(\\\\[(?P<jail>\\\\S+)\\\\] )?(?P<message>.*?)$\"\r\n                }\r\n\r\n                stage.labels {\r\n                        values = {\r\n                                jail = null,\r\n                        }\r\n                }\r\n\r\n                stage.output {\r\n                        source = \"message\"\r\n                }\r\n        }\r\n\r\n        stage.regex {\r\n                expression = \".*?(?P<remote_addr>\\\\d+\\\\.\\\\d+\\\\.\\\\d+\\\\.\\\\d+).*\"\r\n        }\r\n\r\n        stage.geoip {\r\n                db      = \"/GeoLite2-City.mmdb\"\r\n                source  = \"remote_addr\"\r\n                db_type = \"city\"\r\n        }\r\n\tstage.labels {\r\n            values = {\r\n                geoip_city_name          = \"\",\r\n                geoip_country_name       = \"\",\r\n                geoip_country_code       = \"\",\r\n                geoip_continent_name     = \"\",\r\n                geoip_continent_code     = \"\",\r\n                geoip_location_latitude  = \"\",\r\n                geoip_location_longitude = \"\",\r\n                geoip_postal_code        = \"\",\r\n                geoip_timezone           = \"\",\r\n                geoip_subdivision_name   = \"\",\r\n                geoip_subdivision_code   = \"\",\r\n            }\r\n        }\r\n\r\n        stage.label_drop {\r\n                values = [\"filename\"]\r\n        }\r\n}\r\nloki.source.file \"fail2ban\" {\r\n        targets               = local.file_match.fail2ban.targets\r\n        forward_to            = [loki.process.fail2ban.receiver]\r\n}\r\nloki.write \"loki\" {\r\n\tendpoint {\r\n\t\turl = string.format(\r\n\t\t\t\"http://%s/loki/api/v1/push\",\r\n\t\t\tcoalesce(sys.env(\"LOKI_HOST\"), \"loki:3100\"),\r\n\t\t)\r\n\t}\r\n}\r\n\r\n```\r\n\r\n\r\nI will also post my promtail config:\r\n\r\n```yaml\r\n- job_name: fail2ban\r\n  static_configs:\r\n    - targets:\r\n        - localhost\r\n      labels:\r\n        job: fail2ban\r\n        __path__: /var/log/fail2ban.log\r\n  pipeline_stages:\r\n    - multiline:\r\n        firstline: '\\d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2}'\r\n    - regex:\r\n        expression: >-\r\n          ^(?s)(?P<time>\\S+? \\S+?)\r\n          (fail2ban\\.)(?P<component>\\S+)\\s*\r\n          \\[(?P<pid>\\S+)\\]:\r\n          (?P<priority>\\S+)\\s*\r\n          (?P<message>.*?)$\r\n    - timestamp:\r\n        source: time\r\n        format: '2006-01-02 15:04:05,000'\r\n    - labels:\r\n        component:\r\n        priority:\r\n    - output:\r\n        source: message\r\n    - match:\r\n        selector: '{job=\"fail2ban\"} |~ \"\\\\\\\\[\\\\\\\\S+\\\\\\\\] .*\"'\r\n        stages:\r\n          - regex:\r\n              expression: '(\\[(?P<jail>\\S+)\\] )?(?P<message>.*?)$'\r\n          - labels:\r\n              jail:\r\n          - output:\r\n              source: message\r\n    - regex:\r\n        expression: '.*?(?P<remote_addr>\\d+\\.\\d+\\.\\d+\\.\\d+).*'\r\n    - geoip:\r\n        db: /GeoLite2-City.mmdb\r\n        source: remote_addr\r\n        db_type: city\r\n    - labeldrop:\r\n        - filename\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2025-01-22T10:44:42.000Z","updatedAt":"2025-06-16T10:39:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22741"},{"rel":"revisions","href":"/dashboards/22741/revisions"},{"rel":"revision","href":"/dashboards/22741/revisions/1"},{"rel":"download","href":"/dashboards/22741/revisions/1/download"},{"rel":"org","href":"/orgs/thecfu"},{"rel":"images","href":"/dashboards/22741/images"},{"rel":"thumbnails","href":"/dashboards/22741/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":22197,"status":1,"statusCode":"active","orgId":1244189,"orgSlug":"elhackernet","orgName":"elhackernet","slug":"suricata-logs-json","downloads":646,"revisionId":34974,"revision":2,"name":"Fail2Ban","description":"Fail2Ban","readme":"Based on\r\nhttps://github.com/hectorjsmith/fail2ban-prometheus-exporter\r\n\r\n\r\nPrometheus Job\r\n# fail2ban_exporter\r\n\r\n\r\n  - job_name: fail2ban\r\n    metrics_path: /metrics\r\n    static_configs:\r\n      - targets: ['localhost:9191']","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2024-10-31T11:38:29.000Z","updatedAt":"2024-11-10T23:01:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22197"},{"rel":"revisions","href":"/dashboards/22197/revisions"},{"rel":"revision","href":"/dashboards/22197/revisions/2"},{"rel":"download","href":"/dashboards/22197/revisions/2/download"},{"rel":"org","href":"/orgs/elhackernet"},{"rel":"images","href":"/dashboards/22197/images"},{"rel":"thumbnails","href":"/dashboards/22197/thumbnails"}],"datasourceSlugs":["loki"]},{"id":19691,"status":1,"statusCode":"active","orgId":59972,"orgSlug":"fadjar340","orgName":"Fadjar Tandabawana","slug":"fail2ban-banned-locations","downloads":390,"revisionId":30211,"revision":1,"name":"fail2ban banned locations","description":"fail2ban with GeoIP using fail2ban-geo-exporter to Prometheus","readme":"Fail2ban GeoIP location using fail2ban-geo-exporter to Prometheus\r\n\r\n`https://github.com/vdcloudcraft/fail2ban-geo-exporter`\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-10-02T15:07:37.000Z","updatedAt":"2023-10-02T15:11:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19691"},{"rel":"revisions","href":"/dashboards/19691/revisions"},{"rel":"revision","href":"/dashboards/19691/revisions/1"},{"rel":"download","href":"/dashboards/19691/revisions/1/download"},{"rel":"org","href":"/orgs/fadjar340"},{"rel":"images","href":"/dashboards/19691/images"},{"rel":"thumbnails","href":"/dashboards/19691/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20828,"status":1,"statusCode":"active","orgId":1081020,"orgSlug":"ttronas","orgName":"ttronas","slug":"fail2ban-logs1","downloads":484,"revisionId":32243,"revision":1,"name":"Fail2Ban Logs","description":"Fail2Ban log analyses based on Loki and Promtail.","readme":"This Dashboard uses `loki` and `promtail` to scrape `fail2ban` logs. You need separate `loki` and `promtail` instances running to serve the data for Grafana. You can rename the `labels` to arbitrary values - the Dashboard supports selection based on labels.  \r\nI do use the solution with a `fail2ban` docker image, so mind this when reading through the docs.  \r\nThe dashboard and the config are mostly based on [this great gist](https://gist.github.com/lazyfrosch/edd0658ae9a0aaa5a716b214bb98cae6) and [this piece](https://gist.github.com/saniaky/dc75cbf64922e418400b0f54ed5b2c3a).  \r\nThis is the `docker-compose.yml` I use:  \r\n```yaml\r\nversion: '3'  \r\n\r\nservices:\r\n\r\n  fail2ban:\r\n    image: crazymax/fail2ban:latest\r\n    container_name: fail2ban\r\n    restart: \"unless-stopped\"\r\n    network_mode: \"host\"\r\n    cap_add:\r\n      - NET_ADMIN\r\n      - NET_RAW\r\n    volumes:\r\n      # stores filter.d, action.d and jail.d folders\r\n      - ./fail2ban-data:/data\r\n      # accesses logs from host machine\r\n      - /var/log:/var/log:ro\r\n      - /var/lib/docker/containers/:/container-logs/:ro\r\n      - /etc/localtime:/etc/localtime:ro\r\n      # shared folder for logs\r\n      - ./fail2ban-logs:/fail2ban-logs\r\n    environment:\r\n      # reroute log to fail2ban.log file\r\n      - F2B_LOG_TARGET=/fail2ban-logs/fail2ban.log\r\n      - F2B_LOG_LEVEL=INFO\r\n      - F2B_DB_PURGE_AGE=1d\r\n      - F2B_MAX_RETRY=3\r\n    logging:\r\n      driver: \"json-file\"\r\n      options:\r\n        max-size: \"5m\"\r\n        max-file: \"10\"\r\n\r\n  promtail:\r\n    image: grafana/promtail:latest\r\n    container_name: promtail\r\n    restart: unless-stopped\r\n    command: -config.file=/etc/promtail/docker-config.yaml\r\n    volumes:\r\n      # folder for promtail config\r\n      - ./promtail:/etc/promtail\r\n      # accesses fail2ban shared folder\r\n      - ./fail2ban-logs:/var/log/fail2ban:ro\r\n\r\n  loki:\r\n    image: grafana/loki:main\r\n    container_name: loki\r\n    restart: always\r\n    ports:\r\n      - 3100:3100\r\n    volumes:\r\n      - ./loki:/loki\r\n```\r\n\r\nAnd this is used for the `./promtail/docker-config.yaml`:  \r\n(Please feel free to adjust `instance`, `app` and `env` labels according to your preferences)  \r\n```yaml\r\nserver:\r\n  http_listen_port: 9080\r\n  grpc_listen_port: 0\r\npositions:\r\n  filename: /tmp/positions.yaml\r\nclients:\r\n  - url: http://loki:3100/loki/api/v1/push\r\nscrape_configs:\r\n\r\n  - job_name: fail2ban\r\n    static_configs:\r\n      - targets:\r\n        - localhost\r\n        labels:\r\n          __path__: /var/log/fail2ban/fail2ban.log\r\n          instance: your-instance-identifier\r\n          app: fail2ban\r\n          env: test-env\r\n    pipeline_stages:\r\n      - multiline:\r\n          firstline: '\\d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2}'\r\n      - regex:\r\n          expression: >-\r\n            ^(?s)(?P<time>\\S+? \\S+?)\r\n            (fail2ban\\.)(?P<component>\\S+)\\s*\r\n            \\[(?P<pid>\\S+)\\]:\r\n            (?P<priority>\\S+)\\s*\r\n            (?P<message>.*?)$\r\n      - timestamp:\r\n          source: time\r\n          format: '2006-01-02 15:04:05,000'\r\n      - labels:\r\n          component:\r\n          priority:\r\n      - output:\r\n          source: message\r\n      # Extract jail from message, if present\r\n      - match:\r\n          # Note: backticks do not work in promtail, so weird escaping is needed\r\n          selector: '{job=\"fail2ban\"} |~ \"\\\\\\\\[\\\\\\\\S+\\\\\\\\] .*\"'\r\n          stages:\r\n            - regex:\r\n                expression: '(\\[(?P<jail>\\S+)\\] )?(?P<message>.*?)$'\r\n            - labels:\r\n                jail:\r\n            - output:\r\n                source: message\r\n      - labeldrop:\r\n          - filename\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2024-04-02T21:06:59.000Z","updatedAt":"2024-04-02T21:45:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20828"},{"rel":"revisions","href":"/dashboards/20828/revisions"},{"rel":"revision","href":"/dashboards/20828/revisions/1"},{"rel":"download","href":"/dashboards/20828/revisions/1/download"},{"rel":"org","href":"/orgs/ttronas"},{"rel":"images","href":"/dashboards/20828/images"},{"rel":"thumbnails","href":"/dashboards/20828/thumbnails"}],"datasourceSlugs":["loki"]},{"id":25002,"status":1,"statusCode":"active","orgId":821467,"orgSlug":"christophedetroyer","orgName":"christophedetroyer","slug":"fail2ban-statistics","downloads":14,"revisionId":40196,"revision":1,"name":"Fail2Ban Statistics","description":"Fail2Ban Statistics for vanilla Fail2ban","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-03-13T10:46:01.000Z","updatedAt":"2026-03-13T10:46:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25002"},{"rel":"revisions","href":"/dashboards/25002/revisions"},{"rel":"revision","href":"/dashboards/25002/revisions/1"},{"rel":"download","href":"/dashboards/25002/revisions/1/download"},{"rel":"org","href":"/orgs/christophedetroyer"},{"rel":"images","href":"/dashboards/25002/images"},{"rel":"thumbnails","href":"/dashboards/25002/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16248,"status":1,"statusCode":"active","orgId":643241,"orgSlug":"wzshiming","orgName":"wzshiming","slug":"fake-k8s","downloads":357,"revisionId":24693,"revision":3,"name":"Fake K8s","description":"Fake K8s Dashboard","readme":"For https://kwok.sigs.k8s.io\r\n\r\n~~For https://github.com/wzshiming/fake-k8s~~","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-05-09T09:17:55.000Z","updatedAt":"2023-04-06T09:16:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16248"},{"rel":"revisions","href":"/dashboards/16248/revisions"},{"rel":"revision","href":"/dashboards/16248/revisions/3"},{"rel":"download","href":"/dashboards/16248/revisions/3/download"},{"rel":"org","href":"/orgs/wzshiming"},{"rel":"images","href":"/dashboards/16248/images"},{"rel":"thumbnails","href":"/dashboards/16248/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17319,"status":1,"statusCode":"active","orgId":638729,"orgSlug":"onzack","orgName":"ONZACK","slug":"falco","downloads":38329,"revisionId":40636,"revision":8,"name":"Falco","description":"Grafana dashboard for Falco output events","readme":"[Falco](https://falco.org/), the cloud-native runtime security project, is the de facto Kubernetes threat detection engine.  \r\n**This dashboard gives a good overview of the events generated by [Falco](https://falco.org/).**\r\n\r\nPrerequisites\r\n  - [Falco](https://falco.org/)\r\n  - [Falcosidekick](https://github.com/falcosecurity/falcosidekick) -> to ship the Falco events to Loki\r\n  - [Loki](https://github.com/grafana/loki) (Datasource)\r\n\r\nYou can also find our Dashboards on [GitHub](https://github.com/onzack/grafana-dashboards).\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2022-11-01T15:07:54.000Z","updatedAt":"2026-04-30T20:00:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/17319"},{"rel":"revisions","href":"/dashboards/17319/revisions"},{"rel":"revision","href":"/dashboards/17319/revisions/8"},{"rel":"download","href":"/dashboards/17319/revisions/8/download"},{"rel":"org","href":"/orgs/onzack"},{"rel":"images","href":"/dashboards/17319/images"},{"rel":"thumbnails","href":"/dashboards/17319/thumbnails"}],"datasourceSlugs":["loki"]},{"id":24355,"status":1,"statusCode":"active","orgId":607453,"orgSlug":"esnet","orgName":"esnet","slug":"falco-drill-down-copy-public","downloads":114,"revisionId":38946,"revision":1,"name":"Falco - 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Falco lets you continuously monitor and detect container, application, host, and network activity—all in one place—from one source of data, with one set of rules.\n\nThis dashboard shows Falco's events metrics provided by [falco-exporter](https://github.com/falcosecurity/falco-exporter).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-16T17:01:59.000Z","updatedAt":"2020-03-16T17:09:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11914"},{"rel":"revisions","href":"/dashboards/11914/revisions"},{"rel":"revision","href":"/dashboards/11914/revisions/1"},{"rel":"download","href":"/dashboards/11914/revisions/1/download"},{"rel":"org","href":"/orgs/leogr"},{"rel":"images","href":"/dashboards/11914/images"},{"rel":"thumbnails","href":"/dashboards/11914/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15310,"status":1,"statusCode":"active","orgId":569631,"orgSlug":"chepeftw","orgName":"chepeftw","slug":"falco-dashboard","downloads":5143,"revisionId":23013,"revision":3,"name":"Falco Dashboard","description":"","readme":"This is intended to run in K8s, with Prometheus running. 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\"network\"]\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-03-06T13:02:48.000Z","updatedAt":"2024-03-06T13:03:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20643"},{"rel":"revisions","href":"/dashboards/20643/revisions"},{"rel":"revision","href":"/dashboards/20643/revisions/1"},{"rel":"download","href":"/dashboards/20643/revisions/1/download"},{"rel":"org","href":"/orgs/odeven"},{"rel":"images","href":"/dashboards/20643/images"},{"rel":"thumbnails","href":"/dashboards/20643/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23372,"status":1,"statusCode":"active","orgId":1417607,"orgSlug":"griffinigin","orgName":"griffinigin","slug":"flux-telegraf-server-and-docker","downloads":250,"revisionId":37083,"revision":1,"name":"Flux - Telegraf - Server and Docker","description":"Overview, Disk, Network, Memory and Docker Containers","readme":"An updated version of 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This is great for monitoring FlyteAdmin and the Service API.","readme":"## Flyte\n[HomePage](https://flyte.org) | [Docs](https://docs.flyte.org)\n\nFlyte is a production-grade, container-native, type-safe workflow and pipelines platform optimized for large scale processing and machine learning written in Golang. Workflows can be written in any language, with out of the box support for Python, Java and Scala.\n\n### FlyteAdmin\n[FlyteAdmin](https://github.com/flyteorg/flyteadmin) is the control plane that manages the lifecycle of executions, workflows and tasks. It is also Web API that Flyte provides.\n\n### Dashboard\nThis dashboard is maintained by the core-team and makes it simple to observe and monitor a Flyte control-plane in a flyte deployment. Refer to multiple other dashboards that allow monitoring Flyte from different axes - Data Plane and User Plane.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-02-26T18:49:06.000Z","updatedAt":"2021-04-03T04:14:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13981"},{"rel":"revisions","href":"/dashboards/13981/revisions"},{"rel":"revision","href":"/dashboards/13981/revisions/3"},{"rel":"download","href":"/dashboards/13981/revisions/3/download"},{"rel":"org","href":"/orgs/flyte"},{"rel":"images","href":"/dashboards/13981/images"},{"rel":"thumbnails","href":"/dashboards/13981/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17254,"status":1,"statusCode":"active","orgId":731282,"orgSlug":"shivaylamba","orgName":"shivaylamba","slug":"flyte-admin-dashboard-via-prometheus","downloads":278,"revisionId":26514,"revision":1,"name":"Flyte Admin Dashboard (via Prometheus)","description":"Flyte Admin/Control Plane Dashboard. This is great for monitoring FlyteAdmin and the Service API.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-10-24T04:21:12.000Z","updatedAt":"2022-10-24T04:22:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17254"},{"rel":"revisions","href":"/dashboards/17254/revisions"},{"rel":"revision","href":"/dashboards/17254/revisions/1"},{"rel":"download","href":"/dashboards/17254/revisions/1/download"},{"rel":"org","href":"/orgs/shivaylamba"},{"rel":"images","href":"/dashboards/17254/images"},{"rel":"thumbnails","href":"/dashboards/17254/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13979,"status":1,"statusCode":"active","orgId":468205,"orgSlug":"flyte","orgName":"flyte","slug":"flyte-propeller-dashboard-via-prometheus","downloads":7905,"revisionId":20825,"revision":2,"name":"Flyte Propeller Dashboard (via Prometheus)","description":"Flyte Propeller Dashboard. 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Refer to multiple other dashboards that allow monitoring Flyte from different axes - Control Plane and User Plane.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-02-26T18:33:00.000Z","updatedAt":"2021-04-03T04:16:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13979"},{"rel":"revisions","href":"/dashboards/13979/revisions"},{"rel":"revision","href":"/dashboards/13979/revisions/2"},{"rel":"download","href":"/dashboards/13979/revisions/2/download"},{"rel":"org","href":"/orgs/flyte"},{"rel":"images","href":"/dashboards/13979/images"},{"rel":"thumbnails","href":"/dashboards/13979/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13980,"status":1,"statusCode":"active","orgId":468205,"orgSlug":"flyte","orgName":"flyte","slug":"flyte-user-dashboard-via-prometheus","downloads":7952,"revisionId":20483,"revision":1,"name":"Flyte User Dashboard (via Prometheus)","description":"Flyte User Dashboard. This is great to get a birds-eye and drill down view of executions in your Flyte cluster. Useful for the user.","readme":"## Flyte\n[HomePage](https://flyte.org) | [Docs](https://docs.flyte.org)\n\nFlyte is a production-grade, container-native, type-safe workflow and pipelines platform optimized for large scale processing and machine learning written in Golang. Workflows can be written in any language, with out of the box support for Python, Java and Scala.\n\n### Flyte User Dashboard\nThis dashboard is maintained by the core-team and makes it simple to examine stats about executions, schedules, resource utilization for a workflow author or a Flyte platform user.\n\nRefer to multiple other dashboards that allow monitoring Flyte from different axes - Control Plane and data Plane (FlytePropeller).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-02-26T18:44:20.000Z","updatedAt":"2021-04-03T04:17:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13980"},{"rel":"revisions","href":"/dashboards/13980/revisions"},{"rel":"revision","href":"/dashboards/13980/revisions/1"},{"rel":"download","href":"/dashboards/13980/revisions/1/download"},{"rel":"org","href":"/orgs/flyte"},{"rel":"images","href":"/dashboards/13980/images"},{"rel":"thumbnails","href":"/dashboards/13980/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16622,"status":1,"statusCode":"active","orgId":628537,"orgSlug":"fmadio","orgName":"fmadio","slug":"fmadio-device-info","downloads":271,"revisionId":25425,"revision":1,"name":"FMADIO Appliance Details","description":"Detailed monitoring of the health of FMADIO 10G 40G 100G Packet Capture Appliances","readme":"##### FMADIO Appliance Details dashboard provides in-depth monitoring of key metrics from FMADIO 10G 40G 100G Packet capture appliances and compliments the FMADIO Fleet dashboard.\r\n\r\n\r\nMetrics include:\r\n- CPU Utilisation\r\n- RAM utilisation\r\n- Storage utilisation\r\n- Packet Capture rate\r\n- Component Temperatures\r\n- Disk Temperatures\r\n\r\nSee also:\r\n[FMADIO Fleet dashboard](https://grafana.com/grafana/dashboards/16488)\r\n\r\nMore info\r\n[FMADIO 10G 40G 100G Packet Capture](https://fmad.io)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2022-07-22T03:22:45.000Z","updatedAt":"2022-08-01T08:46:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16622"},{"rel":"revisions","href":"/dashboards/16622/revisions"},{"rel":"revision","href":"/dashboards/16622/revisions/1"},{"rel":"download","href":"/dashboards/16622/revisions/1/download"},{"rel":"org","href":"/orgs/fmadio"},{"rel":"images","href":"/dashboards/16622/images"},{"rel":"thumbnails","href":"/dashboards/16622/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":16488,"status":1,"statusCode":"active","orgId":628537,"orgSlug":"fmadio","orgName":"fmadio","slug":"fmadio-fleet","downloads":1223,"revisionId":25290,"revision":3,"name":"FMADIO Fleet","description":"Monitor your fleet of FMADIO Packet Capture Appliances","readme":"###### The FMADIO Fleet Dashboard enables simple and effective monitoring of any number of FMADIO 10G 40G 100G Packet Capture appliances using syslog.\r\n\r\nVarious metrics are reported, including:\r\n- CPU and RAM utilisation\r\n- Power supply configuration and usage\r\n- Capture port configuration\r\n- Capture Status\r\n- Capture Statistics\r\n- System Temperatures\r\n\r\nSee also:\r\n[FMADIO Appliance Details dasboard](https://grafana.com/grafana/dashboards/16622)\r\n\r\nMore info\r\n[FMADIO 10G 40G 100G Packet Capture](https://fmad.io)\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2022-06-22T11:04:34.000Z","updatedAt":"2022-08-01T08:44:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16488"},{"rel":"revisions","href":"/dashboards/16488/revisions"},{"rel":"revision","href":"/dashboards/16488/revisions/3"},{"rel":"download","href":"/dashboards/16488/revisions/3/download"},{"rel":"org","href":"/orgs/fmadio"},{"rel":"images","href":"/dashboards/16488/images"},{"rel":"thumbnails","href":"/dashboards/16488/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":16081,"status":1,"statusCode":"active","orgId":628537,"orgSlug":"fmadio","orgName":"fmadio","slug":"fmadio-pcap2json-dashboard","downloads":1451,"revisionId":25978,"revision":8,"name":"FMADIO PCAP2JSON Dashboard","description":"Visualisation of granular network metadata","readme":"#### FMADIO PCAP2JSON Dashboard is for visualising granular metadata produced by FMADIO 10G 40G 100G Packet Capture Appliances running the PCAP2JSON module\r\n\r\n###### PCAP2JSON produces high granularity Netflow-like metadata at up to 60Gbps and exports as JSON documents direct to Elasticsearch or other software. 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Foreman metrics and node exporter systemd/disk/cpu collector.\nMonitors - cluster performance, service uptime, cpu/ram/disk","readme":"Configure Prometheus to have 2 jobs and use labels, like this:\n\nscrape_configs:\n\n- job_name: foreman_cluster_stats\n\n  sample_limit: 60000\n\n  scheme: https\n\n  tls_config:\n\n    insecure_skip_verify: true\n\n  static_configs:\n\n  - targets: ['foreman-master.example.com:443']\n\n    labels: {location: 'eu-central-1', foreman_type: 'master', foreman_instance: 'foreman-master'}\n\n- job_name: foreman_server_stats\n\n  sample_limit: 60000\n\n  static_configs:\n\n    - targets: ['foreman-master.example.com:3100']\n\n      labels:  {location: 'eu-central-1', foreman_type: 'master', foreman_instance: 'foreman-master'}\n    - targets: ['foreman-smartproxy1.example.com:3100']\n\n      labels:  {location: 'eu-central-1', foreman_type: 'smartproxy', foreman_instance: 'foreman-smartproxy1'}\n    - targets: ['foreman-smartproxy2.example.com:3100']\n\n      labels:  {location: 'us-east-1', foreman_type: 'smartproxy', foreman_instance: 'foreman-smartproxy2'}","collectorType":"nodeExporter","collectorConfig":"--web.listen-address=:3100 --collector.diskstats --no-collector.arp --no-collector.bcache --no-collector.conntrack --collector.cpu  --no-collector.edac --no-collector.entropy --no-collector.filefd  --no-collector.hwmon --no-collector.infiniband --no-collector.ipvs --no-collector.mdadm --no-collector.netstat  --no-collector.vmstat   --no-collector.wifi --no-collector.nfs --no-collector.xfs --no-collector.zfs --collector.loadavg --collector.meminfo --no-collector.netdev --collector.time --collector.timex --collector.ntp --no-collector.stat --no-collector.sockstat --collector.systemd --no-collector.uname --collector.textfile --collector.textfile.directory='/var/node_exporter/metrics'","collectorPluginList":"systemd, cpu, diskstats","datasource":"Prometheus","privacy":"public","createdAt":"2020-11-26T10:20:23.000Z","updatedAt":"2020-11-26T11:15:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13469"},{"rel":"revisions","href":"/dashboards/13469/revisions"},{"rel":"revision","href":"/dashboards/13469/revisions/1"},{"rel":"download","href":"/dashboards/13469/revisions/1/download"},{"rel":"org","href":"/orgs/matemikulic"},{"rel":"images","href":"/dashboards/13469/images"},{"rel":"thumbnails","href":"/dashboards/13469/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11596,"status":1,"statusCode":"active","orgId":339237,"orgSlug":"warrenstrange","orgName":"warrenstrange","slug":"forgerock-directory-services","downloads":578,"revisionId":16339,"revision":1,"name":"ForgeRock Directory Services","description":"Metrics for ForgeRock Directory Services\n","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-21T18:04:38.000Z","updatedAt":"2020-01-21T18:05:11.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11596"},{"rel":"revisions","href":"/dashboards/11596/revisions"},{"rel":"revision","href":"/dashboards/11596/revisions/1"},{"rel":"download","href":"/dashboards/11596/revisions/1/download"},{"rel":"org","href":"/orgs/warrenstrange"},{"rel":"images","href":"/dashboards/11596/images"},{"rel":"thumbnails","href":"/dashboards/11596/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16179,"status":1,"statusCode":"active","orgId":374018,"orgSlug":"patsevanton","orgName":"patsevanton","slug":"jmx-dashboard-basic","downloads":494,"revisionId":24565,"revision":1,"name":"Fork JMX Dashboard(Basic)","description":"Fork JMX Dashboard(Basic)","readme":"Fix dashboard https://grafana.com/grafana/dashboards/14845\r\n\r\nRepository: https://github.com/patsevanton/JMX-Dashboard-Basic--fork/blob/main/JMX-Dashboard-Basic-fork.json","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-04-28T11:34:46.000Z","updatedAt":"2022-04-28T11:41:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16179"},{"rel":"revisions","href":"/dashboards/16179/revisions"},{"rel":"revision","href":"/dashboards/16179/revisions/1"},{"rel":"download","href":"/dashboards/16179/revisions/1/download"},{"rel":"org","href":"/orgs/patsevanton"},{"rel":"images","href":"/dashboards/16179/images"},{"rel":"thumbnails","href":"/dashboards/16179/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23004,"status":1,"statusCode":"active","orgId":1364529,"orgSlug":"gnugnu","orgName":"gnugnu","slug":"fork-test-kubernetes-cluster-monitoring-via-prometheus-rev2","downloads":257,"revisionId":36333,"revision":2,"name":"fork-test Kubernetes cluster monitoring (via Prometheus) - rev2","description":"(test 20250303) Monitors Kubernetes cluster using Prometheus. 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Also known as authKey, -A option to NetSNMP.                                                                                                                             \r\n                    # Required if security_level is authNoPriv or authPriv.                                                                                                                                        \r\n        auth_protocol: SHA  # MD5 or SHA, defaults to SHA. -a option to NetSNMP.                                                                                                                                       \r\n                          # Used if security_level is authNoPriv or authPriv.       \r\n\r\n\r\n\r\nwith the following prometheus config :\r\n\r\n      - job_name: 'snmp'\r\n        static_configs:\r\n          - targets:\r\n            - x.x.x.x # fortigate device.\r\n        scrape_interval: 3m\r\n        scrape_timeout : 3m\r\n        metrics_path: /snmp\r\n        params:\r\n          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exporter:\r\n\r\ngithub.com/thebinary/radmin_exporter/releases/tag/0.0.1","readme":"__FreeRADIUS__ Statistics dashboard:\r\n- Authentication Elapsed Time statistics\r\n- Authentication Request and Response counters\r\n- Accounting Elapsed Time statistics\r\n- Accounting Request  and Response counters\r\n- Queue statistics","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-05T11:02:17.000Z","updatedAt":"2023-07-06T09:59:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19111"},{"rel":"revisions","href":"/dashboards/19111/revisions"},{"rel":"revision","href":"/dashboards/19111/revisions/1"},{"rel":"download","href":"/dashboards/19111/revisions/1/download"},{"rel":"org","href":"/orgs/thebinary"},{"rel":"images","href":"/dashboards/19111/images"},{"rel":"thumbnails","href":"/dashboards/19111/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12447,"status":1,"statusCode":"active","orgId":225578,"orgSlug":"sobaka","orgName":"sobaka","slug":"freespace","downloads":751,"revisionId":18477,"revision":3,"name":"FreeSpace","description":"Dashboard file system space and inodes usage","readme":"FreeSpace Dashboard host or guest mashine.\r\ngrafana->graphite->collectd","collectorType":"collectd","collectorConfig":"```\r\nFQDNLookup false\r\n\r\nTypesDB \"/usr/share/collectd/types.db\" \"/etc/collectd/types.db\"\r\n\r\nInterval 60\r\nLoadPlugin write_graphite\r\n<Plugin write_graphite>\r\n\t<Node \"<node>\">\r\n\t\tHost \"<host>\"\r\n\t\tPort \"<port>\"\r\n\t\tProtocol \"tcp\"\r\n\t\tLogSendErrors true\r\n\t\tPrefix \"<prefix>.\"\r\n\t\tPostfix \"\"\r\n\t\tStoreRates false\r\n\t\tAlwaysAppendDS false\r\n\t\tEscapeCharacter \"_\"\r\n\t</Node>\r\n</Plugin>\r\n\r\nLoadPlugin syslog\r\n<Plugin syslog>\r\n        LogLevel info\r\n</Plugin>\r\n\r\nLoadPlugin tail\r\nLoadPlugin python\r\n\r\n<Include \"/etc/collectd/collectd.conf.d\">\r\n        Filter \"*.conf\"\r\n</Include>\r\n```","collectorPluginList":"DF plugin, Write Graphite plugin","datasource":"Graphite","privacy":"public","createdAt":"2020-06-11T08:40:42.000Z","updatedAt":"2020-08-11T09:46:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12447"},{"rel":"revisions","href":"/dashboards/12447/revisions"},{"rel":"revision","href":"/dashboards/12447/revisions/3"},{"rel":"download","href":"/dashboards/12447/revisions/3/download"},{"rel":"org","href":"/orgs/sobaka"},{"rel":"images","href":"/dashboards/12447/images"},{"rel":"thumbnails","href":"/dashboards/12447/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":17071,"status":1,"statusCode":"active","orgId":717006,"orgSlug":"z0413j","orgName":"mroject","slug":"feeswitch","downloads":1491,"revisionId":26195,"revision":1,"name":"freeswitch","description":"A freeswitch dashboard from freeswitch_exporter","readme":"Metrics\r\n\r\nThe exporter will try to fetch values from the following commands:\r\n\r\n1. api show calls count: Calls count\r\n2. api uptime s: Uptime\r\n3. api strepoch: Time synced with system\r\n4. status\r\n5. sofia xmlstatus gateway: fetch all gateway\r\n6. module: usage module.conf.xml fetch all module status\r\n7. api show endpoint all used endpoint\r\n8. api show codec all used codec\r\n\r\nfreeswitch_exporter: https://github.com/mroject/freeswitch_exporter\r\n\r\nCopyright (c) 2022 Zhang Lian Jun z0413j@outlook.com\r\n\r\n:)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-09-28T04:10:48.000Z","updatedAt":"2022-09-28T13:03:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/17071"},{"rel":"revisions","href":"/dashboards/17071/revisions"},{"rel":"revision","href":"/dashboards/17071/revisions/1"},{"rel":"download","href":"/dashboards/17071/revisions/1/download"},{"rel":"org","href":"/orgs/z0413j"},{"rel":"images","href":"/dashboards/17071/images"},{"rel":"thumbnails","href":"/dashboards/17071/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17059,"status":1,"statusCode":"active","orgId":663530,"orgSlug":"timecounter","orgName":"timecounter","slug":"freq-counter-dashboard","downloads":287,"revisionId":26188,"revision":1,"name":"FREQ COUNTER DASHBOARD","description":"Freq Counter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-09-27T13:41:29.000Z","updatedAt":"2022-09-27T13:42:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17059"},{"rel":"revisions","href":"/dashboards/17059/revisions"},{"rel":"revision","href":"/dashboards/17059/revisions/1"},{"rel":"download","href":"/dashboards/17059/revisions/1/download"},{"rel":"org","href":"/orgs/timecounter"},{"rel":"images","href":"/dashboards/17059/images"},{"rel":"thumbnails","href":"/dashboards/17059/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14632,"status":1,"statusCode":"active","orgId":344643,"orgSlug":"kamontat","orgName":"kamontat","slug":"freqtrade","downloads":1484,"revisionId":22043,"revision":3,"name":"Freqtrade","description":"Freqtrade information from postgres database","readme":"Support until ftmetric v4.5.0\n\nAdd a lot of panel to simulate freqUI as much as possible with nice UI and flexible of time-frame. You can use this grafana dashboard as FreqUI replacement for visualize data and analytic your strategy performance.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-06-28T18:19:55.000Z","updatedAt":"2021-08-01T12:21:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14632"},{"rel":"revisions","href":"/dashboards/14632/revisions"},{"rel":"revision","href":"/dashboards/14632/revisions/3"},{"rel":"download","href":"/dashboards/14632/revisions/3/download"},{"rel":"org","href":"/orgs/kamontat"},{"rel":"images","href":"/dashboards/14632/images"},{"rel":"thumbnails","href":"/dashboards/14632/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14915,"status":1,"statusCode":"active","orgId":534436,"orgSlug":"kalilfagundes","orgName":"kalilfagundes","slug":"freqtrade","downloads":362,"revisionId":22246,"revision":1,"name":"Freqtrade","description":"Freqtrade information from postgres database","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-25T03:07:58.000Z","updatedAt":"2021-08-25T03:10:47.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14915"},{"rel":"revisions","href":"/dashboards/14915/revisions"},{"rel":"revision","href":"/dashboards/14915/revisions/1"},{"rel":"download","href":"/dashboards/14915/revisions/1/download"},{"rel":"org","href":"/orgs/kalilfagundes"},{"rel":"images","href":"/dashboards/14915/images"},{"rel":"thumbnails","href":"/dashboards/14915/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21174,"status":1,"statusCode":"active","orgId":1075939,"orgSlug":"aminchinisaz","orgName":"aminchinisaz","slug":"freqtrade","downloads":253,"revisionId":32947,"revision":1,"name":"Freqtrade","description":"Freqtrade information from postgres database","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-05-30T10:07:35.000Z","updatedAt":"2024-05-30T10:09:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21174"},{"rel":"revisions","href":"/dashboards/21174/revisions"},{"rel":"revision","href":"/dashboards/21174/revisions/1"},{"rel":"download","href":"/dashboards/21174/revisions/1/download"},{"rel":"org","href":"/orgs/aminchinisaz"},{"rel":"images","href":"/dashboards/21174/images"},{"rel":"thumbnails","href":"/dashboards/21174/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18305,"status":1,"statusCode":"active","orgId":817913,"orgSlug":"jlb2184","orgName":"jlb2184","slug":"freqtrade","downloads":278,"revisionId":28114,"revision":1,"name":"Freqtrade","description":"Freqtrade information from postgres database","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-18T07:23:52.000Z","updatedAt":"2023-03-18T07:25:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18305"},{"rel":"revisions","href":"/dashboards/18305/revisions"},{"rel":"revision","href":"/dashboards/18305/revisions/1"},{"rel":"download","href":"/dashboards/18305/revisions/1/download"},{"rel":"org","href":"/orgs/jlb2184"},{"rel":"images","href":"/dashboards/18305/images"},{"rel":"thumbnails","href":"/dashboards/18305/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24398,"status":1,"statusCode":"active","orgId":1589692,"orgSlug":"ronnytaubert","orgName":"ronnytaubert","slug":"vmware-vsphere-vms","downloads":50,"revisionId":39026,"revision":1,"name":"Frequenz Dashboard","description":"Test eines Dashboards - Böwing/Amshoff Betrieb","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-11-16T18:45:58.000Z","updatedAt":"2025-11-16T18:48:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24398"},{"rel":"revisions","href":"/dashboards/24398/revisions"},{"rel":"revision","href":"/dashboards/24398/revisions/1"},{"rel":"download","href":"/dashboards/24398/revisions/1/download"},{"rel":"org","href":"/orgs/ronnytaubert"},{"rel":"images","href":"/dashboards/24398/images"},{"rel":"thumbnails","href":"/dashboards/24398/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14237,"status":1,"statusCode":"active","orgId":482929,"orgSlug":"ch604","orgName":"ch604","slug":"freshtomato-router-dashboard","downloads":453,"revisionId":33279,"revision":6,"name":"FreshTomato Router Dashboard","description":"","readme":"Scripts to display metrics from routers running FreshTomato. Developed on Netgear R7000. \r\n\r\nBased on dd-wrt-grafana by Trevor Dodds (https://grafana.com/grafana/dashboards/950), updated for influxdb and freshtomato.\r\n\r\nRequirements:\r\n    Router running FreshTomato (tested on 2021.2)\r\n    Server running Grafana\r\n    Server running InfluxDB with auth-enabled=true\r\n\r\nInstallation:\r\n1. Enable JFFS support on Tomato under Administration -> JFFS.\r\n\r\n2. Upload all shell scripts from https://github.com/ch604/tomato-grafana to /jffs/tomato-grafana/. Modify the IP, port, password, and username of your influxdb server in variables.sh. Also add any additional mount points you may want to monitor in this file as well, space-delimited.\r\n\r\n3. For speedtest results, download the Ookla ARM CLI tool from https://install.speedtest.net/app/cli/ookla-speedtest-1.0.0-arm-linux.tgz and place its contents into a folder called /jffs/speedtest/.\r\n\r\n4. Add the following three commands under Administration -> Scheduler as custom cron jobs:\r\n\r\nsh /jffs/tomato-grafana/collector.sh >/dev/null 2>&1\r\n\r\nsh /jffs/tomato-grafana/collector20.sh >/dev/null 2>&1\r\n\r\nsh /jffs/tomato-grafana/collector40.sh >/dev/null 2>&1\r\n\r\nThese should all run every 1 minute on every day of the week.\r\n\r\nAdd the following cron as well for speed tests:\r\n\r\nsh /jffs/tomato-grafana/speedTest.sh >/dev/null 2>&1\r\n\r\nThis should run every 30 minutes, or as often as you would like results recorded.\r\n\r\n5. Import Grafana json dashboard.\r\n\r\n6. Enjoy!","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-04-15T01:56:54.000Z","updatedAt":"2024-06-20T20:15:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14237"},{"rel":"revisions","href":"/dashboards/14237/revisions"},{"rel":"revision","href":"/dashboards/14237/revisions/6"},{"rel":"download","href":"/dashboards/14237/revisions/6/download"},{"rel":"org","href":"/orgs/ch604"},{"rel":"images","href":"/dashboards/14237/images"},{"rel":"thumbnails","href":"/dashboards/14237/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21104,"status":1,"statusCode":"active","orgId":1129287,"orgSlug":"uzurka","orgName":"uzurka","slug":"freshtomato-router-dashboard","downloads":258,"revisionId":32827,"revision":1,"name":"FreshTomato Router Dashboard","description":"Scripts to display metrics from routers running FreshTomato. Developed on Netgear R7000, updated with a Netgear R8000.\r\n","readme":"# tomato-grafana\r\n\r\nScripts to display metrics from routers running FreshTomato. Developed on Netgear R7000, updated with a Netgear R8000.\r\n\r\n![Dashboard Preview](https://i.imgur.com/fR4c8LC.png)\r\n\r\nBased on dd-wrt-grafana by Trevor Dodds (https://grafana.com/grafana/dashboards/950), updated for influxdb and freshtomato.\r\n\r\n# Requirements\r\n\r\n- Router running FreshTomato (tested on 2021.2 & 2024.1)\r\n- Server running Grafana\r\n- Server running InfluxDB (=< 1.8)\r\n\r\n# Installation\r\n\r\nEnable auth on InfluxDB (on my apt-based debian install, this was at /etc/influxdb/influxdb.conf) and configure a user and password. The router scripts will expect auth for depositing data.\r\n\r\nSet up a blank InfluxDB database for storage (after installing influxdb-client, auth into influx from the command line, and run \"CREATE DATABASE tomato\", or whatever you would like to call it).\r\n\r\nConnect Grafana to InfluxDB as a data source using the same username and password you set up for influx auth.\r\n\r\nOn to the router. Connect and mount a disk to /opt (USB Drive, SD Card, external HDD/SSD. If you already installed Entware, skip this step).\r\n\r\nIf you want to use JFFS instead, Enable JFFS support on Tomato under Administration -> JFFS\r\n\r\n## /opt\r\nUpload all shell scripts to /opt/tomato-grafana/. \r\n\r\n## /jffs\r\nUpload all shell scripts to /jffs/tomato-grafana/. \r\nBefore, or after uploading the scripts, run the following command in the scripts folder to replace /opt with /jffs\r\n`find . -type f -exec sed -i 's#/jffs/#/opt/#g' {} +`\r\n\r\n\r\nModify the IP, port, password, and username of your influxdb server in variables.sh. Also add any additional mount points you may want to monitor in this file as well, space-delimited. Scripts do not have to be executable.\r\n\r\nFor speedtest results, download the Ookla ARM CLI tool from https://install.speedtest.net/app/cli/ookla-speedtest-1.2.0-linux-armel.tgz and place its contents into a folder called /opt/speedtest/. The core speedtest binary should be executable.\r\n\r\nAdd the following three commands under Administration -> Scheduler as custom cron jobs:\r\n```\r\nsh /opt/tomato-grafana/collector.sh >/dev/null 2>&1\r\nsh /opt/tomato-grafana/collector20.sh >/dev/null 2>&1\r\nsh /opt/tomato-grafana/collector40.sh >/dev/null 2>&1\r\n```\r\nor, for jffs : \r\n```\r\nsh /jffs/tomato-grafana/collector.sh >/dev/null 2>&1\r\nsh /jffs/tomato-grafana/collector20.sh >/dev/null 2>&1\r\nsh /jffs/tomato-grafana/collector40.sh >/dev/null 2>&1\r\n```\r\nThese should all run every 1 minute on every day of the week. The collectors will now run every 20 seconds. Additionally, add this cron for the speedtest:\r\n```\r\nsh /opt/tomato-grafana/speedTest.sh >/dev/null 2>&1\r\n```\r\nor, for jffs : \r\n```\r\nsh /opt/tomato-grafana/speedTest.sh >/dev/null 2>&1\r\n```\r\n\r\nRun this every 30 minutes, or as often as you would like results recorded.\r\n\r\nImport the Grafana dashboard via json file or from this dashboard code: https://grafana.com/grafana/dashboards/21104\r\n\r\nEnjoy!\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-05-20T15:49:01.000Z","updatedAt":"2024-05-20T15:50:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21104"},{"rel":"revisions","href":"/dashboards/21104/revisions"},{"rel":"revision","href":"/dashboards/21104/revisions/1"},{"rel":"download","href":"/dashboards/21104/revisions/1/download"},{"rel":"org","href":"/orgs/uzurka"},{"rel":"images","href":"/dashboards/21104/images"},{"rel":"thumbnails","href":"/dashboards/21104/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18226,"status":1,"statusCode":"active","orgId":808650,"orgSlug":"bairhys","orgName":"bairhys","slug":"frigate","downloads":4791,"revisionId":34633,"revision":9,"name":"Frigate","description":"","readme":"This is a Grafana dashboard to view Frigate camera and detector metrics scraped with Prometheus. See here how to set up: [prometheus-frigate-exporter](https://github.com/bairhys/prometheus-frigate-exporter)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-05T12:20:17.000Z","updatedAt":"2024-10-13T03:36:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18226"},{"rel":"revisions","href":"/dashboards/18226/revisions"},{"rel":"revision","href":"/dashboards/18226/revisions/9"},{"rel":"download","href":"/dashboards/18226/revisions/9/download"},{"rel":"org","href":"/orgs/bairhys"},{"rel":"images","href":"/dashboards/18226/images"},{"rel":"thumbnails","href":"/dashboards/18226/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24165,"status":1,"statusCode":"active","orgId":1461882,"orgSlug":"znand","orgName":"znand","slug":"frigate-monitoring-dashboard","downloads":623,"revisionId":38545,"revision":1,"name":"Frigate Monitoring Dashboard","description":"A complete Grafana dashboard for monitoring Frigate with Prometheus metrics.\r\nCovers Python runtime GC stats, CPU & memory usage, camera FPS and detection performance, storage utilization, and service health.\r\nWorks with Frigate’s built-in /api/metrics endpoint. Designed with modern visualizations, thresholds, and alerts.","readme":"# Frigate Monitoring Dashboard\r\n\r\nThis Grafana dashboard provides a **complete observability view for [Frigate](https://github.com/blakeblackshear/frigate)** using Prometheus as the data source.  \r\nIt is designed for Frigate installations that expose metrics via the `/api/metrics` endpoint and covers **runtime performance, object detection efficiency, and storage usage**.\r\n\r\n---\r\n\r\n## Features\r\n\r\n- **Python Runtime Monitoring**  \r\n  - Garbage Collector (GC) objects collected/sec, collections per generation, uncollectable objects (leak detection), GC efficiency ratio.\r\n\r\n- **CPU & Memory Usage**  \r\n  - Total system CPU/memory usage.  \r\n  - Per-process CPU/memory breakdown (ffmpeg, detect, capture, recording).  \r\n\r\n- **Camera Performance**  \r\n  - Camera input FPS vs processed FPS.  \r\n  - Detection FPS and skipped FPS (frame drops).  \r\n\r\n- **Object Detection & Events**  \r\n  - Detector inference speed (CPU/GPU).  \r\n  - Events per camera / per object label (if `frigate_camera_events_total` is exposed).  \r\n\r\n- **Storage & Service Health**  \r\n  - Storage usage (recordings, clips, cache, shm).  \r\n  - Service uptime.  \r\n  - Frigate version vs latest release (with update check).  \r\n\r\n---\r\n\r\n## Requirements\r\n\r\n- **Grafana** ≥ 9.x  \r\n- **Prometheus** as datasource  \r\n- **Frigate** with metrics endpoint enabled (`/api/metrics`)  \r\n\r\n---\r\n\r\n## Prometheus Configuration\r\n\r\nAdd a scrape job for Frigate in your `prometheus.yml`:\r\n\r\n```yaml\r\nscrape_configs:\r\n  - job_name: 'frigate'\r\n    static_configs:\r\n      - targets: ['192.168.1.50:5000']   # Replace with your Frigate host:port\r\n    metrics_path: /api/metrics\r\n```\r\n\r\n---\r\n\r\n## Usage\r\n\r\n1. 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Enable Prometheus monitoring for your frp server by referring to the documentation [here](https://gofrp.org/zh-cn/docs/features/common/monitor/).\r\n2. Configure Prometheus to collect monitoring data from your frp server.\r\n3. Import the JSON file of this monitoring panel.\r\n4. Select the frp monitoring panel in Grafana to monitor the real-time status and performance metrics of your frp server.\r\n\r\n\r\n1. 为你的frp 开启 Prometheus 监控，可以查看[文档](https://gofrp.org/zh-cn/docs/features/common/monitor/)。\r\n2. 配置 Prometheus 收集您的 frp 服务器的监控数据。\r\n3. 导入本监控面板的 JSON 文件。\r\n4. 在Grafana中选择frp监控面板，您将能够实时监控frp服务器的状态和性能指标\r\n\r\n# Contribution (贡献)\r\n\r\nContributions and improvements to this monitoring panel are welcome. 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servers and store the data in a local influxdb database for appealing visualization with garfana.\r\n\r\n## Dashboard Example\r\n\r\n![Dashboard](https://github.com/arpanghosh8453/garmin-grafana/blob/main/Grafana_Dashboard/Garmin-Grafana-Dashboard-Preview.png?raw=true)\r\n\r\n## Features\r\n\r\n- Automatic data collection from Garmin\r\n- Collects comprehensive health metrics including:\r\n  - Heart Rate Data\r\n  - Hourly steps Heatmap\r\n  - Daily Step Count\r\n  - Sleep Data and patterns (SpO2, Breathing rate, Sleep movements, HRV)\r\n  - Sleep regularity heatmap (Visualize sleep routine)\r\n  - Stress Data \r\n  - Body Battery data\r\n  - Calories\r\n  - Sleep Score\r\n  - Activity Minutes and HR zones\r\n  - Activity Timeline (workouts)\r\n  - GPS data from workouts (track, pace, altitude, HR)\r\n  - And more...\r\n- Automated data fetching in regular interval (set and forget)\r\n- Historical data backfilling\r\n\r\n## Install with Docker (Recommended)\r\n\r\nPlease follow the installation instructions in the [GitHub repository README](https://github.com/arpanghosh8453/garmin-grafana)\r\n\r\n## Credits\r\n\r\nThis project is made possible by **generous community contribution** towards the [gofundme](https://gofund.me/0d53b8d1) advertised in [this post](https://www.reddit.com/r/Garmin/comments/1jucwhu/update_free_and_open_source_garmin_grafana/) on Reddit's [r/garmin](https://www.reddit.com/r/Garmin) community. 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treasury balance","readme":"# GASdf Monitoring Dashboard\r\n\r\n  Monitor the GASdf gasless transaction service for Solana.\r\n\r\n  ## Metrics Tracked\r\n  - **Total Quotes** - Quote requests processed\r\n  - **Total Submits** - Transactions submitted\r\n  - **Treasury SOL** - Fee payer wallet balance\r\n  - **$ASDF Burned** - Tokens burned from fees\r\n\r\n  ## Charts\r\n  - Request rate by route and status code\r\n  - Response latency (P50/P95)\r\n  - Quote → Submit conversion funnel\r\n  - Treasury balance history with alert threshold\r\n\r\n  ## Requirements\r\n  - Prometheus datasource\r\n  - GASdf service with metrics endpoint\r\n\r\n  ## Links\r\n  - [GASdf API](https://gasdf-43r8.onrender.com)\r\n  - [GitHub](https://github.com/zeyxx/GASdf)\r\n\r\n  Built with Helius 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project.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-09-14T14:24:19.000Z","updatedAt":"2023-09-14T14:25:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19571"},{"rel":"revisions","href":"/dashboards/19571/revisions"},{"rel":"revision","href":"/dashboards/19571/revisions/1"},{"rel":"download","href":"/dashboards/19571/revisions/1/download"},{"rel":"org","href":"/orgs/irldavem"},{"rel":"images","href":"/dashboards/19571/images"},{"rel":"thumbnails","href":"/dashboards/19571/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19572,"status":1,"statusCode":"active","orgId":934278,"orgSlug":"irldavem","orgName":"irldavem","slug":"gateway-api-state-tlsroutes","downloads":539,"revisionId":30022,"revision":1,"name":"Gateway API State / TLSRoutes","description":"Visualisation of kubernetes Gateway API TLSRoute resources in your cluster.\r\n","readme":"The dashboard shows a list of all TLSRoutes in your kubernetes cluster, including targeted and attached Parent References.\r\nA set of summary single stat panels show aggregations of the same.\r\n\r\nThe collector is available at https://github.com/Kuadrant/gateway-api-state-metrics.\r\nIt uses prometheus and the kube-state-metrics project.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-09-14T14:26:35.000Z","updatedAt":"2023-09-14T14:27:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19572"},{"rel":"revisions","href":"/dashboards/19572/revisions"},{"rel":"revision","href":"/dashboards/19572/revisions/1"},{"rel":"download","href":"/dashboards/19572/revisions/1/download"},{"rel":"org","href":"/orgs/irldavem"},{"rel":"images","href":"/dashboards/19572/images"},{"rel":"thumbnails","href":"/dashboards/19572/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19573,"status":1,"statusCode":"active","orgId":934278,"orgSlug":"irldavem","orgName":"irldavem","slug":"gateway-api-state-udproutes","downloads":537,"revisionId":30023,"revision":1,"name":"Gateway API State / UDPRoutes","description":"Visualisation of kubernetes Gateway API UDPRoute resources in your cluster.\r\n","readme":"The dashboard shows a list of all UDPRoutes in your kubernetes cluster, including targeted and attached Parent References.\r\nA set of summary single stat panels show aggregations of the same.\r\n\r\nThe collector is available at https://github.com/Kuadrant/gateway-api-state-metrics.\r\nIt uses prometheus and the kube-state-metrics project.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-09-14T14:28:12.000Z","updatedAt":"2023-09-14T14:29:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19573"},{"rel":"revisions","href":"/dashboards/19573/revisions"},{"rel":"revision","href":"/dashboards/19573/revisions/1"},{"rel":"download","href":"/dashboards/19573/revisions/1/download"},{"rel":"org","href":"/orgs/irldavem"},{"rel":"images","href":"/dashboards/19573/images"},{"rel":"thumbnails","href":"/dashboards/19573/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12898,"status":1,"statusCode":"active","orgId":412002,"orgSlug":"wjackson","orgName":"wjackson","slug":"gateway-sensors","downloads":325,"revisionId":18643,"revision":1,"name":"Gateway Sensors","description":"Dell gateway internal sensors","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"SimpleJson","privacy":"public","createdAt":"2020-08-26T18:36:42.000Z","updatedAt":"2020-08-26T18:37:47.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12898"},{"rel":"revisions","href":"/dashboards/12898/revisions"},{"rel":"revision","href":"/dashboards/12898/revisions/1"},{"rel":"download","href":"/dashboards/12898/revisions/1/download"},{"rel":"org","href":"/orgs/wjackson"},{"rel":"images","href":"/dashboards/12898/images"},{"rel":"thumbnails","href":"/dashboards/12898/thumbnails"}],"datasourceSlugs":["grafana-simple-json-datasource"]},{"id":21776,"status":1,"statusCode":"active","orgId":240667,"orgSlug":"polarnik","orgName":"PerfTrack","slug":"gatling","downloads":720,"revisionId":34073,"revision":1,"name":"Gatling","description":"Gatling InfluxDB metrics from Perfana x2i or grafana-to-influxdb (g2i) exporters Dashboard","readme":"Perfana has two projects:\r\n\r\n- 🔵 https://github.com/perfana/x2i\r\n- 🔵 https://github.com/perfana/gatling-to-influxdb\r\n\r\nThey send gatling simulation logs into InfluxDB\r\n\r\nIt works well with InfluxDB 1.8, InfluxDB 2.0, with Telegraf, ... All ways: https://github.com/perfana/x2i/issues/2\r\n\r\nThere is a dashboard for the data sources InfluxDB 1.8 or InfluxDB 2.0 with v1 auth login and password.\r\n\r\nThe main source is a variable: \r\n- source. \r\n\r\nIt should be an InfluxQL data source.\r\n\r\nThe dashboard has main gatling.conf options: \r\n- maxPlotPerSeries, \r\n- lowerBound, \r\n- higherBound, \r\n- percentile1, \r\n- percentile2, \r\n- percentile3, \r\n- percentile4.\r\n\r\nIt has a global filter: \r\n- GlobalFilter is a global filter tag name, \r\n- Filter values is a global filter value. \r\n\r\nIt is useful for CI/CD reports, for example: GlobalFilter = GITHUB_RUN_ID, Filter values = 123456789. It works well with any custom tags","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-08-26T17:25:40.000Z","updatedAt":"2024-09-04T15:21:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21776"},{"rel":"revisions","href":"/dashboards/21776/revisions"},{"rel":"revision","href":"/dashboards/21776/revisions/1"},{"rel":"download","href":"/dashboards/21776/revisions/1/download"},{"rel":"org","href":"/orgs/polarnik"},{"rel":"images","href":"/dashboards/21776/images"},{"rel":"thumbnails","href":"/dashboards/21776/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9935,"status":1,"statusCode":"active","orgId":240667,"orgSlug":"polarnik","orgName":"PerfTrack","slug":"grafana-report","downloads":3620,"revisionId":17965,"revision":3,"name":"Gatling Report","description":"Gatling Report","readme":"# Change log\r\n\r\nThe new version of Gatling doesn't support graphite output anymore.\r\n\r\nPlease use another tool **perfana/x2i** or **perfana/g2i** instead of InfluxDB v1 **graphite input** or Telegraf **graphite input plugin**. There is a new dashboard for the x2i or g2i: https://grafana.com/grafana/dashboards/21776-gatling/ . There is an instruction about using InfluxDB v2 or VictoriaMetrics as metric storages: https://github.com/perfana/x2i/issues/2 \r\n\r\n# Demo\r\nOpen model: [Gatling Grafana Report openmodel-rampusers2](https://snapshot.raintank.io/dashboard/snapshot/BrWg0ACW5jIVtJunSR2BnS3RFndVGtfZ?orgId=2)\r\n\r\nClosed model: [Gatling Grafana Report closemodel-incrementconcurrentusers](https://snapshot.raintank.io/dashboard/snapshot/OhN89UeAACTDcGP4m9WAJp8w4nMvCuW0?orgId=0)\r\n\r\n# Install\r\n\r\nUse Grafana 6.5 - 6.7 for develop, modification and work.\r\n\r\nUse Grafana 7.0.3 beta for work and small modification: Grafana 7.0 did not support creating links with `${cell}` params in URL, but support vew and modify links with `${cell}` in *Table Panel Old* (backward compatibility).\r\n\r\nExample docker containter start with plugins and settings:\r\n[ /devenv/devenv.run.grafana.sh ](https://github.com/polarnik/gatling-grafana-dashboard/blob/master/devenv/devenv.run.grafana.sh)\r\n\r\n```\r\n#!/bin/sh -x\r\n\r\ngit clone https://github.com/polarnik/gatling-grafana-dashboard.git\r\ncd gatling-grafana-dashboard/devenv\r\n\r\nDIR=\"$( cd \"$( dirname \"${BASH_SOURCE[0]}\" )\" >/dev/null 2>&1 && pwd )\"\r\nID=$(id -u)\r\n\r\ndocker network create loadlab\r\ndocker pull grafana/grafana\r\n\r\ndocker run --name=grafana \\\r\n --network=loadlab --user $ID -p 3000:3000 \\\r\n -v \"$DIR/grafana.ini\":/etc/grafana/grafana.ini \\\r\n -v \"$DIR/plugins\":/var/lib/grafana/plugins \\\r\n -v \"$DIR/provisioning\":/etc/grafana/provisioning \\\r\n -v \"$DIR/var/lib/grafana\":/var/lib/grafana \\\r\n -v \"$DIR/usr/share/grafana\":/var/usr/share/grafana \\\r\n -v \"$DIR/var/log/grafana\":/var/log/grafana \\\r\n grafana/grafana\r\n```\r\n\r\n0. Change datasource settings in [/devenv/provisioning/datasources/influxdb-Gatling_TCP.yml](https://github.com/polarnik/gatling-grafana-dashboard/blob/master/devenv/provisioning/datasources/influxdb-Gatling_TCP.yml) - for example set `basicAuth: false` and `database: gatling`\r\n1. Open [http://localhost:3000/d/gatlingTrendWithLink](http://localhost:3000/d/gatlingTrendWithLink), demo link: [http://84.201.161.113:3000/d/gatlingTrendLink](http://84.201.161.113:3000/d/gatlingTrendLink)\r\n2. Select Test Run in Navigate menu, go to link [http://localhost:3000/d/gatling/](http://localhost:3000/d/gatling/)...some...params...\r\n3. View http://localhost:3000/d/gatling report\r\n\r\nDefault admin password in grafana.ini:\r\n* admin_user = [/devenv/grafana.ini#L158](https://github.com/polarnik/gatling-grafana-dashboard/blob/master/devenv/grafana.ini#L158)\r\n* admin_password = [/devenv/grafana.ini#L161](https://github.com/polarnik/gatling-grafana-dashboard/blob/master/devenv/grafana.ini#L161)\r\n\r\n# Source code and developer environment\r\n\r\n* [https://github.com/polarnik/gatling-grafana-dashboard](https://github.com/polarnik/gatling-grafana-dashboard)\r\n* [https://github.com/polarnik/gatling-grafana-dashboard/blob/master/devenv/provisioning/dashboards/json/gatlingNew.json](https://github.com/polarnik/gatling-grafana-dashboard/blob/master/devenv/provisioning/dashboards/json/gatlingNew.json)\r\n\r\n# Features\r\n\r\n* Full Copy of HTML Gatling Report - all graphs and tables\r\n* Distributed testing support - sum metrics from multiple hostname (load agent) with filtering by hostname\r\n* Support grouping request\r\n* Filtering by RunID\r\n* Navigate Menu\r\n* Support Closing Load Model - new graph \"Concurrent Users\"\r\n\r\n### Helpers\r\n* Dynamic select Grafana Granularity: $g = gatling write period\r\n* Dynamic calculate test Duration for RunID tag\r\n* Highlight zero values in tables\r\n* Support both Dark and White Grafana themes\r\n\r\n### TODO\r\n* Fix some bugs - please create bugs via [https://github.com/polarnik/gatling-grafana-dashboard/issues](https://github.com/polarnik/gatling-grafana-dashboard/issues)\r\n* Boost InfluxQL query\r\n\r\n# View\r\nFull View\r\n![](https://grafana.com/api/dashboards/9935/images/8403/image)\r\n\r\nFilter by Load Station (default All - sum result from multiple load agent). Time Link - link to navigate to other Test Run with same Simulation name:\r\n![](https://grafana.com/api/dashboards/9935/images/8392/image)\r\n\r\nFilter by Group (support Gatling Group store, filtering and visualise) for Group 1, 2, 3 levels:\r\n![](https://grafana.com/api/dashboards/9935/images/8391/image)\r\n\r\nTest Report header:\r\n* Simulation name\r\n* Test RunID\r\n* Names of Load Stations\r\n* Test Duration\r\n\r\n![](https://grafana.com/api/dashboards/9935/images/8409/image)\r\n\r\nAnd Indicators\r\n*  time <= 40 ms\r\n* time > 40 && time <= 100\r\n* time > 100\r\n\r\nTreshold 40, 100 get from Grafana variables (may be changed via URL params `&var-duration_1=40&var-duration_2=100`): \r\n\r\n![](https://grafana.com/api/dashboards/9935/images/8410/image)\r\n\r\nGlobal Information / Statistics:\r\n* Group names: Group (level 1), Group (level 2), Group (level 3) if needed\r\n* Requests - request name\r\n  * synthetic request **Global Information** - all request alias\r\n* Total - total count (default sort order by Total DESC)\r\n* OK - ok count\r\n* KO - not ok count\r\n* %KO = KO for current request / Total for **Global Information**\r\n* ...\r\n\r\n![](https://grafana.com/api/dashboards/9935/images/8408/image)\r\n\r\n# InfluxDB.conf\r\nFull influxdb.conf example: [/devenv/influxdb.conf](https://github.com/polarnik/gatling-grafana-dashboard/blob/master/devenv/influxdb.conf)\r\n```\r\n# Determines whether the graphite endpoint is enabled.\r\nenabled = true\r\ndatabase = \"gatling\"\r\n# retention-policy = \"\"\r\nbind-address = \":2003\"\r\nprotocol = \"tcp\"\r\n# consistency-level = \"one\"\r\ntemplates = [\r\n  \"gatling.*.users.*.*      measurement.simulation.measurement.request.field\",\r\n  \"gatling.*.*.*.*.*.*   measurement.simulation.group1.group2.request.status.field   group=2\",\r\n  \"gatling.*.*.*.*.*   measurement.simulation.group1.request.status.field   group=1\",\r\n  \"gatling.*.*.*.*   measurement.simulation.request.status.field   group=0\",\r\n\r\n  \"v2.gatling.*.*.*.users.*.*  .measurement.run.host.simulation.measurement.request.field\",\r\n  \"v2.gatling.*.*.*.*.*.*.*.*  .measurement.run.host.simulation.group1.group2.request.status.field   group=2\",\r\n  \"v2.gatling.*.*.*.*.*.*.*  .measurement.run.host.simulation.group1.request.status.field   group=1\",\r\n  \"v2.gatling.*.*.*.*.*.*  .measurement.run.host.simulation.request.status.field   group=0\",\r\n]\r\n\r\n# These next lines control how batching works. You should have this enabled\r\n# otherwise you could get dropped metrics or poor performance. Batching\r\n# will buffer points in memory if you have many coming in.\r\n\r\n# Flush if this many points get buffered\r\nbatch-size = 5000\r\n\r\n# number of batches that may be pending in memory\r\nbatch-pending = 10\r\n\r\n# Flush at least this often even if we haven't hit buffer limit\r\nbatch-timeout = \"10s\"\r\n\r\n### This string joins multiple matching 'measurement' values providing more control over the final measurement name.\r\nseparator = \".\"\r\n\r\n### Default tags that will be added to all metrics.  These can be overridden at the template level\r\n### or by tags extracted from metric\r\n# tags = [\"region=us-east\", \"zone=1c\"]\r\n```\r\n\r\n# Gatling (settings for support RunID and Hostname filter in Gatling Report)\r\n\r\nProject Example: [https://github.com/polarnik/gatling-report-example](https://github.com/polarnik/gatling-report-example)\r\n\r\n### What is RunID?\r\n\r\n* RunID is a unique identificator of Gatling test runs, with starts in same time.\r\n* Load agent hostname - not unique, Simulation - not unique (it is load profile name), but RunID + Simulation + Hostname - unique result.\r\n* RunID combine multiple load agents results (multiple hostname) into one Gatling test run: filter by RunID + Simulation, but not by Hostname (`host` = `All`).\r\n\r\n\r\n### Settings in Gatling.conf\r\n\r\nExample [/src/test/resources/gatling.conf](https://github.com/polarnik/gatling-report-example/blob/master/src/test/resources/gatling.conf)\r\n\r\n1. Enable graphite support via `gatling.data.writers` (gatling.data.writers = [graphite])\r\n2. Disable or paramertize `rootPathPrefix` in `gatling.data.graphite`:\r\n   * Comment `rootPathPrefix` in `gatling.data.graphite` section - for support override this prefix and pass **RunId** and **Hostname** from Gatling to InfluxDB\r\n   * Use Environment Variable GATLING_PREFIX  for`rootPathPrefix` value - for support override this prefix and pass **RunId** and **Hostname** from Gatling to InfluxDB\r\n\r\nShort example:\r\n```\r\ngatling {\r\n  data {\r\n    writers = [console, file, graphite]\r\n    console {\r\n      light = false          # When set to true, displays a light version without detailed request stats\r\n      writePeriod = 10       # Write interval, in seconds\r\n    }\r\n    file {\r\n      light = false          # Full Information\r\n      bufferSize = 8192      # FileDataWriter's internal data buffer size, in bytes\r\n    }\r\n    leak {\r\n      noActivityTimeout = 60 # Period, in seconds, for which Gatling may have no activity before considering a leak may be happening\r\n    }\r\n    graphite {\r\n      light = false          # Full Information\r\n      host = \"localhost\"     # The host where the Carbon server is located\r\n      port = 2003            # The port to which the Carbon server listens to\r\n      protocol = \"tcp\"       # The protocol used to send data to Carbon (currently supported : \"tcp\", \"udp\")\r\n      #rootPathPrefix = \"gatling\" #! Disable default prefix for using custom prefix: v2.gatling.{run}.{host} \r\n      bufferSize = 81920     # Internal data buffer size, in bytes\r\n      writePeriod = 1        # Write period, in seconds\r\n    }\r\n  }\r\n}\r\n```\r\nor\r\n```\r\ngatling {\r\n  data {\r\n    writers = [console, file, graphite]\r\n    console {\r\n      light = false          # When set to true, displays a light version without detailed request stats\r\n      writePeriod = 10       # Write interval, in seconds\r\n    }\r\n    file {\r\n      light = false          # Full Information\r\n      bufferSize = 8192      # FileDataWriter's internal data buffer size, in bytes\r\n    }\r\n    leak {\r\n      noActivityTimeout = 60 # Period, in seconds, for which Gatling may have no activity before considering a leak may be happening\r\n    }\r\n    graphite {\r\n      light = false          # Full Information\r\n      host = \"localhost\"     # The host where the Carbon server is located\r\n      port = 2003            # The port to which the Carbon server listens to\r\n      protocol = \"tcp\"       # The protocol used to send data to Carbon (currently supported : \"tcp\", \"udp\")\r\n      rootPathPrefix=${?GATLING_PREFIX} #! Override default prefix via envirinment variable with: v2.gatling.{run}.{host} \r\n      bufferSize = 81920     # Internal data buffer size, in bytes\r\n      writePeriod = 1        # Write period, in seconds\r\n    }\r\n  }\r\n}\r\n```\r\n# Start Gatling test with custom rootPathPrefix\r\n\r\n\r\nCalculate RunID via bash script: [ gatling-report-example/start.gatling.rootPathPrefix.sh](https://github.com/polarnik/gatling-report-example/blob/master/start.gatling.rootPathPrefix.sh) with round date time for 5 minutes\r\n```\r\n#!/bin/bash\r\n# ./start.gatling.rootPathPrefix.sh\r\n\r\ndatetimePrefix=`date '+%Y-%m-%d_%H'`\r\ndateTimeMinute=`date '+%M'`\r\n\r\nround=5\r\nroundMinute=$(expr \"$dateTimeMinute\" / $round)\r\nroundMinute=$(expr \"$roundMinute\" \\* $round)\r\nroundMinute=$(printf \"%02d\" $roundMinute)\r\n\r\nexport GATLING_PREFIX=\"v2.gatling.$datetimePrefix:$roundMinute.`hostname`\"\r\n\r\necho $GATLING_PREFIX\r\n```\r\nCalculate RunID via Scala script: [ gatling-report-example/src/test/scala/io/qaload/gatling/reportExample/setting/TestConfig.scala ](https://github.com/polarnik/gatling-report-example/blob/master/src/test/scala/io/qaload/gatling/reportExample/setting/TestConfig.scala) with round date time for 5 minutes\r\n```\r\nclass RunIdConvertor extends Converter[String] {\r\n\r\n  def getRoundStartTime(roundMinute: Int): String = {\r\n    val dateTimeFormatter = DateTimeFormatter.ofPattern(\"yyyy-MM-dd_HH\")\r\n    val startTime = OffsetDateTime.now().format(dateTimeFormatter)\r\n    val date = new Date()                  // given date\r\n    val calendar = new GregorianCalendar() // creates a new calendar instance\r\n    calendar.setTime(date)                 // assigns calendar to given date\r\n    val minute = calendar.get(Calendar.MINUTE)\r\n    val minuteRound = round(floor( 1.0d * minute / roundMinute) * roundMinute)\r\n    s\"${startTime}:${\"%02d\".format(minuteRound)}\"\r\n  }\r\n\r\n  def convert(targetMethod: Method, text: String): String = {\r\n    if (text != \"\") {\r\n      text\r\n    } else {\r\n      getRoundStartTime(5)\r\n    }\r\n  }\r\n}\r\n```\r\n\r\n### Case 1: SBT and pass RunID + Hostname via Command Line\r\nExample: [gatling-report-example/start.test.maven.sh](https://github.com/polarnik/gatling-report-example/blob/master/start.test.maven.sh) \r\n\r\nIf comment `rootPathPrefix` in `gatling.data.graphite`\r\n```\r\n#!/bin/bash\r\n\r\nGATLING_ROOT_PATH_PREFIX=`./start.gatling.rootPathPrefix.sh`\r\n\r\nsbt -Dgatling.data.graphite.rootPathPrefix=$GATLING_ROOT_PATH_PREFIX  \"gatling:testOnly io.qaload.gatling.reportExample.simulation.OpenModel_AtOnceUsers\"\r\n```\r\n\r\nIf use Environment Variable GATLING_PREFIX  for`rootPathPrefix`\r\n```\r\n#!/bin/bash\r\n\r\nGATLING_ROOT_PATH_PREFIX=`./start.gatling.rootPathPrefix.sh`\r\n\r\nGATLING_ROOT_PATH_PREFIX=$GATLING_ROOT_PATH_PREFIX sbt \"gatling:testOnly io.qaload.gatling.reportExample.simulation.OpenModel_AtOnceUsers\"\r\n```\r\n\r\n### Case 2: Maven and pass RunID + Hostname via Command Line\r\nExample: [gatling-report-example/start.test.maven.sh](https://github.com/polarnik/gatling-report-example/blob/master/start.test.maven.sh) \r\n\r\nIf use Environment Variable GATLING_PREFIX  for`rootPathPrefix`\r\n```\r\n#!/bin/bash\r\n\r\nGATLING_ROOT_PATH_PREFIX=`./start.gatling.rootPathPrefix.sh`\r\n\r\nGATLING_ROOT_PATH_PREFIX=$GATLING_ROOT_PATH_PREFIX mvn gatling:test -Dsimulation=OpenModel_AtOnceUsers\r\n```\r\n\r\n### Case 3: IntelliJ IDEA and pass RunID + Hostname via App parameters \r\n\r\nExample: [gatling-report-example/src/test/scala/Engine.scala](https://github.com/polarnik/gatling-report-example/blob/master/src/test/scala/Engine.scala)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-03-17T14:49:07.000Z","updatedAt":"2024-10-03T07:43:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":3.33,"links":[{"rel":"self","href":"/dashboards/9935"},{"rel":"revisions","href":"/dashboards/9935/revisions"},{"rel":"revision","href":"/dashboards/9935/revisions/3"},{"rel":"download","href":"/dashboards/9935/revisions/3/download"},{"rel":"org","href":"/orgs/polarnik"},{"rel":"images","href":"/dashboards/9935/images"},{"rel":"thumbnails","href":"/dashboards/9935/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12508,"status":1,"statusCode":"active","orgId":240667,"orgSlug":"polarnik","orgName":"PerfTrack","slug":"gatling-report-navigate-menu","downloads":345,"revisionId":17964,"revision":1,"name":"Gatling Report (navigate menu)","description":"Gatling Report (navigate menu) for quick navigate to big Gatling Report","readme":"# Demo\n\n[http://84.201.161.113:3000/d/gatlingTrendLink](http://84.201.161.113:3000/d/gatlingTrendLink)\n\n# Features\n\n* Automatic select **start** and **end** time period for Gatling Test\n* This Navigate Menu - small path of Gatling Report [https://grafana.com/grafana/dashboards/9935](https://grafana.com/grafana/dashboards/9935)\n\n# Used\n\n1. Select large time filter (1 year for example)\n2. Select Simulation in Filter\n3. Select RunID in Navigate Menu and Open Gatling Report: [demo Gatling Report](http://84.201.161.113:3000/d/gatling/grafana-report?orgId=1&time=1581524251000&time.window=288s&var-run=2020-02-12_19:15&var-simulation=openmodel-rampusers2&var-loadstation=All&from=1581524113211&to=1581524252498)\n\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-06-21T10:13:11.000Z","updatedAt":"2024-09-04T15:22:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12508"},{"rel":"revisions","href":"/dashboards/12508/revisions"},{"rel":"revision","href":"/dashboards/12508/revisions/1"},{"rel":"download","href":"/dashboards/12508/revisions/1/download"},{"rel":"org","href":"/orgs/polarnik"},{"rel":"images","href":"/dashboards/12508/images"},{"rel":"thumbnails","href":"/dashboards/12508/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12507,"status":1,"statusCode":"active","orgId":240667,"orgSlug":"polarnik","orgName":"PerfTrack","slug":"gatling-report-trend","downloads":1567,"revisionId":17963,"revision":1,"name":"Gatling Report (trend)","description":"Gatling Report Trend (for Grafana 7.0 Table)","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-06-21T10:03:22.000Z","updatedAt":"2024-09-04T15:23:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/12507"},{"rel":"revisions","href":"/dashboards/12507/revisions"},{"rel":"revision","href":"/dashboards/12507/revisions/1"},{"rel":"download","href":"/dashboards/12507/revisions/1/download"},{"rel":"org","href":"/orgs/polarnik"},{"rel":"images","href":"/dashboards/12507/images"},{"rel":"thumbnails","href":"/dashboards/12507/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":8364,"status":1,"statusCode":"active","orgId":200544,"orgSlug":"ganeshkakani","orgName":"ganeshkakani","slug":"gatling-ums","downloads":385,"revisionId":11493,"revision":1,"name":"Gatling_UMS","description":"New to Grafana","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-10-15T10:25:10.000Z","updatedAt":"2018-10-15T10:29:34.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/8364"},{"rel":"revisions","href":"/dashboards/8364/revisions"},{"rel":"revision","href":"/dashboards/8364/revisions/1"},{"rel":"download","href":"/dashboards/8364/revisions/1/download"},{"rel":"org","href":"/orgs/ganeshkakani"},{"rel":"images","href":"/dashboards/8364/images"},{"rel":"thumbnails","href":"/dashboards/8364/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24379,"status":1,"statusCode":"active","orgId":1461821,"orgSlug":"lifailon","orgName":"lifailon","slug":"gatus","downloads":286,"revisionId":38991,"revision":1,"name":"Gatus","description":"Automated developer-oriented status page.","readme":"# Gatus\r\n\r\nGatus is a developer-oriented health dashboard that gives you the ability to monitor your services using HTTP, ICMP, TCP, and even DNS queries as well as evaluate the result of said queries by using a list of conditions on values like the status code, the response time, the certificate expiration, the body and many others. The icing on top is that each of these health checks can be paired with alerting via Slack, Teams, PagerDuty, Discord, Twilio and many more.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-11-12T11:17:56.000Z","updatedAt":"2025-11-12T13:55:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24379"},{"rel":"revisions","href":"/dashboards/24379/revisions"},{"rel":"revision","href":"/dashboards/24379/revisions/1"},{"rel":"download","href":"/dashboards/24379/revisions/1/download"},{"rel":"org","href":"/orgs/lifailon"},{"rel":"images","href":"/dashboards/24379/images"},{"rel":"thumbnails","href":"/dashboards/24379/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16283,"status":1,"statusCode":"active","orgId":647469,"orgSlug":"gbox","orgName":"gbox","slug":"gbox-proxy","downloads":397,"revisionId":24757,"revision":4,"name":"GBox Proxy","description":"Grafana dashboard for GBox Proxy","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-05-16T10:54:12.000Z","updatedAt":"2022-05-17T03:01:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16283"},{"rel":"revisions","href":"/dashboards/16283/revisions"},{"rel":"revision","href":"/dashboards/16283/revisions/4"},{"rel":"download","href":"/dashboards/16283/revisions/4/download"},{"rel":"org","href":"/orgs/gbox"},{"rel":"images","href":"/dashboards/16283/images"},{"rel":"thumbnails","href":"/dashboards/16283/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12162,"status":1,"statusCode":"active","orgId":38089,"orgSlug":"inspectit","orgName":"inspectit","slug":"gc-details","downloads":855,"revisionId":17306,"revision":2,"name":"GC Details","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-23T10:33:37.000Z","updatedAt":"2020-04-23T11:08:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12162"},{"rel":"revisions","href":"/dashboards/12162/revisions"},{"rel":"revision","href":"/dashboards/12162/revisions/2"},{"rel":"download","href":"/dashboards/12162/revisions/2/download"},{"rel":"org","href":"/orgs/inspectit"},{"rel":"images","href":"/dashboards/12162/images"},{"rel":"thumbnails","href":"/dashboards/12162/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16452,"status":1,"statusCode":"active","orgId":528806,"orgSlug":"cloudquery","orgName":"cloudquery","slug":"gcp-asset-inventory","downloads":512,"revisionId":25311,"revision":2,"name":"GCP Asset Inventory","description":"This  dashboard provides a high level view of all your Google Cloud Platform resources across all accounts accounts and regions","readme":"# GCP Cloud Asset Inventory\r\n\r\nThis dashboard provides a high-level view of all your resources across all accounts and regions. It works with PostgreSQL as the storage layer and [CloudQuery](https://github.com/cloudquery/cloudquery) as the ingestion layer.\r\n\r\n## How to Install\r\n\r\n 1. Install [CloudQuery](https://www.cloudquery.io/docs/quickstart/) and fetch your resources\r\n 2. [Follow the instructions for installing the view and dashboard](https://www.cloudquery.io/blog/building-cloud-asset-inventory-with-gcp)\r\n\r\n## GitHub\r\n\r\nFeel free to contribute or open an [issue](https://github.com/cloudquery/cloudquery)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2022-06-15T13:07:46.000Z","updatedAt":"2024-08-29T18:48:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16452"},{"rel":"revisions","href":"/dashboards/16452/revisions"},{"rel":"revision","href":"/dashboards/16452/revisions/2"},{"rel":"download","href":"/dashboards/16452/revisions/2/download"},{"rel":"org","href":"/orgs/cloudquery"},{"rel":"images","href":"/dashboards/16452/images"},{"rel":"thumbnails","href":"/dashboards/16452/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":9540,"status":1,"statusCode":"active","orgId":224463,"orgSlug":"jeromefroe","orgName":"jeromefroe","slug":"gcp-http-s-load-balancer","downloads":749,"revisionId":13173,"revision":1,"name":"GCP HTTP(S) Load Balancer","description":"Metrics from GCP HTTP(S) Load Balancer","readme":"This dashboard displays metrics from a [GCP HTTP(S) Load Balancer](https://cloud.google.com/load-balancing/docs/https/https-logging-monitoring#monitoring) which have been collected by Prometheus via the [stackdriver_exporter](https://github.com/frodenas/stackdriver_exporter).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-12-15T20:56:15.000Z","updatedAt":"2018-12-15T20:59:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9540"},{"rel":"revisions","href":"/dashboards/9540/revisions"},{"rel":"revision","href":"/dashboards/9540/revisions/1"},{"rel":"download","href":"/dashboards/9540/revisions/1/download"},{"rel":"org","href":"/orgs/jeromefroe"},{"rel":"images","href":"/dashboards/9540/images"},{"rel":"thumbnails","href":"/dashboards/9540/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23094,"status":1,"statusCode":"active","orgId":1376923,"orgSlug":"deepaksingh2","orgName":"deepaksingh2","slug":"managed-kafka","downloads":531,"revisionId":36476,"revision":1,"name":"GCP Managed Kafka","description":"GCP Managed Kafka ( Google Cloud Monitoring )","readme":"# Managed Kafka Grafana Dashboard\r\n\r\n## Overview\r\nThis Grafana dashboard is designed to monitor and visualize key metrics of a **Managed Kafka** cluster running on **Google Cloud Platform (GCP)** using **Google Cloud Monitoring (Stackdriver)**.\r\n\r\n## Features\r\n- **Broker Health Monitoring**: Tracks memory usage, CPU utilization, and request count for Kafka brokers.\r\n- **Cluster Performance Metrics**: Displays partition statuses, offline partitions, and long-term storage usage.\r\n- **Traffic & Throughput Insights**: Provides per-topic byte in/out and request count metrics.\r\n- **Latency Monitoring**: Tracks Kafka request latencies (P50, P99, P999).\r\n- **Consumer Metrics**: Monitors consumer lag, stable/rebalancing consumer groups, and dead/empty consumer groups.\r\n- **Custom Alerts & Annotations**: Built-in support for monitoring annotations and alerts.\r\n- **Kafka UI Quick Access**: Direct link to the Kafka UI for deeper analysis.\r\n\r\n## Data Source\r\nThe dashboard uses **Google Cloud Monitoring (Stackdriver)** as the primary data source, configured via:\r\n- **Datasource**: `${DS_GCP}`\r\n- **Project**: `$cluster`\r\n\r\n## Panels\r\nThe dashboard includes the following panels:\r\n1. **Memory Usage** (Stat Panel)\r\n2. **CPU Usage** (Stat Panel)\r\n3. **Request Count Usage** (Gauge Panel)\r\n4. **Offline Partitions** (Stat Panel)\r\n5. **Total Partitions Per Broker** (Stat Panel)\r\n6. **Long-Term Storage Usage** (Stat Panel)\r\n7. **Byte In/Out Per Topic** (Stat Panels)\r\n8. **Topic Request Count & Error Count** (Stat Panels)\r\n9. **Messages Per Topic** (Time Series Panel)\r\n10. **Request Latency Per Broker (P50, P99, P999)** (Time Series Panels)\r\n11. **Consumer Lag Per Topic** (Time Series Panel)\r\n12. **Stable, Rebalancing, Dead, and Empty Consumer Groups** (Stat Panels)\r\n\r\n## Refresh & Time Settings\r\n- **Refresh Rate**: Every **30 seconds**\r\n- **Time Range**: **Last 1 hour**\r\n\r\n## Usage Instructions\r\n1. **Ensure Data Source is Configured**: Update the `${DS_GCP}` variable to match your GCP project.\r\n2. **Modify Thresholds if Needed**: Adjust alert thresholds for memory, CPU, and consumer lag based on your operational requirements.\r\n3. **Use Kafka UI for Deep Dive**: Click on the **Kafka UI** link to access additional insights.\r\n4. **Set Up Alerts**: Utilize Grafana alerting rules to notify on critical metrics.\r\n\r\n## Tags\r\n- `Cloud Monitoring`\r\n- `Kafka`\r\n- `GCP`\r\n\r\n## Dashboard UID\r\n- `aeff2g49qgc8wa`\r\n\r\n---\r\n### Notes\r\n- Make sure the correct GCP project permissions are granted to access Kafka metrics.\r\n- Use **Grafana Variables** (`$cluster`) for multi-cluster monitoring support.\r\n- For further customization, modify the **PromQL queries** in the panel configurations.\r\n\r\n---\r\n#### Created with Grafana v11.2.0\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Google Cloud Monitoring","privacy":"public","createdAt":"2025-03-15T17:56:01.000Z","updatedAt":"2025-03-15T18:36:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23094"},{"rel":"revisions","href":"/dashboards/23094/revisions"},{"rel":"revision","href":"/dashboards/23094/revisions/1"},{"rel":"download","href":"/dashboards/23094/revisions/1/download"},{"rel":"org","href":"/orgs/deepaksingh2"},{"rel":"images","href":"/dashboards/23094/images"},{"rel":"thumbnails","href":"/dashboards/23094/thumbnails"}],"datasourceSlugs":["stackdriver"]},{"id":14208,"status":1,"statusCode":"active","orgId":383899,"orgSlug":"xoommonitoring","orgName":"Xoom Monitoring","slug":"gcp-stackdriver","downloads":1115,"revisionId":21016,"revision":2,"name":"GCP Stackdriver","description":"VM metrics from GCP Stackdriver","readme":"Connect 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Solar","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-02-29T10:58:32.000Z","updatedAt":"2024-02-29T10:58:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20596"},{"rel":"revisions","href":"/dashboards/20596/revisions"},{"rel":"revision","href":"/dashboards/20596/revisions/1"},{"rel":"download","href":"/dashboards/20596/revisions/1/download"},{"rel":"org","href":"/orgs/matthiassobota"},{"rel":"images","href":"/dashboards/20596/images"},{"rel":"thumbnails","href":"/dashboards/20596/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24757,"status":1,"statusCode":"active","orgId":1653368,"orgSlug":"langloisseb","orgName":"langloisseb","slug":"geier-solar","downloads":3,"revisionId":39690,"revision":1,"name":"Geier Solar","description":"Geier Solar","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2026-01-28T16:30:04.000Z","updatedAt":"2026-01-28T16:31:13.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24757"},{"rel":"revisions","href":"/dashboards/24757/revisions"},{"rel":"revision","href":"/dashboards/24757/revisions/1"},{"rel":"download","href":"/dashboards/24757/revisions/1/download"},{"rel":"org","href":"/orgs/langloisseb"},{"rel":"images","href":"/dashboards/24757/images"},{"rel":"thumbnails","href":"/dashboards/24757/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21813,"status":1,"statusCode":"active","orgId":1210475,"orgSlug":"lmflemm","orgName":"lmflemm","slug":"geiger-counter","downloads":248,"revisionId":34131,"revision":1,"name":"Geiger 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Tracks message activity, LLM call volume and latency, token consumption (input, output, cached/cache-read), cache hit ratio, estimated cost in USD, model and tool breakdowns, and API errors. Data sourced from Application Insights via OpenTelemetry.","readme":"# Gemini CLI Monitoring Dashboard\r\n\r\nMonitor Gemini CLI usage and performance using Application Insights and OpenTelemetry data.\r\n\r\n## What This Dashboard Shows\r\n\r\n- **Message Activity**: Total messages, LLM call volume over time\r\n- **LLM Performance**: Call latency, response duration, and time-to-first-token\r\n- **Token Consumption**: Input, output, cached/cache-read tokens with cost estimation in USD\r\n- **Cache Analytics**: Cache hit ratio tracking and optimization insights\r\n- **Model Breakdowns**: Usage distribution across different Gemini models\r\n- **Tool Usage**: Tool call patterns and frequency\r\n- **Error Monitoring**: API error tracking and debugging\r\n\r\n## Prerequisites\r\n\r\n- Azure Managed Grafana instance\r\n- Application Insights resource with OpenTelemetry data from Gemini CLI\r\n- Azure Monitor data source configured in Grafana\r\n\r\n## Getting Started\r\n\r\n1. Import this dashboard into your Azure Managed Grafana instance\r\n2. Select your Azure Monitor data source\r\n3. Configure the Application Insights resource filter\r\n\r\nFor detailed setup instructions, visit: https://aka.ms/amg/dash-doc/gemini-cli","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2026-05-21T23:27:13.000Z","updatedAt":"2026-05-21T23:27:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25325"},{"rel":"revisions","href":"/dashboards/25325/revisions"},{"rel":"revision","href":"/dashboards/25325/revisions/1"},{"rel":"download","href":"/dashboards/25325/revisions/1/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/25325/images"},{"rel":"thumbnails","href":"/dashboards/25325/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":24639,"status":1,"statusCode":"active","orgId":335710,"orgSlug":"amper","orgName":"amper","slug":"gemini-cli-victoriastack","downloads":66,"revisionId":39475,"revision":1,"name":"Gemini CLI (VictoriaStack)","description":"Dashboard for Google Gemini CLI with information about token usage and token cache, tools usage stats and latency, mcp servers stats, added/removed lines of code, API requests and errors, etc...","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Jaeger, VictoriaLogs, VictoriaMetrics","privacy":"public","createdAt":"2026-01-06T10:41:47.000Z","updatedAt":"2026-01-06T11:10:33.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24639"},{"rel":"revisions","href":"/dashboards/24639/revisions"},{"rel":"revision","href":"/dashboards/24639/revisions/1"},{"rel":"download","href":"/dashboards/24639/revisions/1/download"},{"rel":"org","href":"/orgs/amper"},{"rel":"images","href":"/dashboards/24639/images"},{"rel":"thumbnails","href":"/dashboards/24639/thumbnails"}],"datasourceSlugs":["jaeger","victoriametrics-logs-datasource","victoriametrics-metrics-datasource"]},{"id":15814,"status":1,"statusCode":"active","orgId":437089,"orgSlug":"hng","orgName":"H Ng","slug":"docker-host","downloads":689,"revisionId":23950,"revision":1,"name":"General Docker metrics per host and container","description":"Get docker metrics per host and container","readme":"### Dashboard for docker host. Used template variables to get hosts and containers on this host.\r\n\r\n- Tested on Grafana 8.4.1\r\n\r\n- Don't forget to add telegraf to docker group :\r\n```\r\n usermod -a -G docker telegraf\r\n```\r\n\r\nEnjoy","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.docker]]\r\n   endpoint = \"unix:///var/run/docker.sock\"\r\n   gather_services = false\r\n   container_names = []\r\n   timeout = \"5s\"\r\n### Whether to report for each container per-device blkio (8:0, 8:1...) and\r\n### network (eth0, eth1, ...) stats or not\r\n   perdevice = true\r\n### Whether to report for each container total blkio and network stats or not\r\n   total = false\r\n```\r\n\r\n","collectorPluginList":"docker","datasource":"InfluxDB","privacy":"public","createdAt":"2022-02-25T13:49:25.000Z","updatedAt":"2022-02-25T14:03:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15814"},{"rel":"revisions","href":"/dashboards/15814/revisions"},{"rel":"revision","href":"/dashboards/15814/revisions/1"},{"rel":"download","href":"/dashboards/15814/revisions/1/download"},{"rel":"org","href":"/orgs/hng"},{"rel":"images","href":"/dashboards/15814/images"},{"rel":"thumbnails","href":"/dashboards/15814/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10092,"status":1,"statusCode":"active","orgId":248071,"orgSlug":"adams","orgName":"adams","slug":"rpi-1","downloads":2449,"revisionId":14117,"revision":1,"name":"General Overview of Kubernetes Cluster","description":"Pods, Containers, nodes, cpu etc. Good to put it on a TV screen.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-04-24T14:26:33.000Z","updatedAt":"2019-04-24T14:27:50.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":1,"links":[{"rel":"self","href":"/dashboards/10092"},{"rel":"revisions","href":"/dashboards/10092/revisions"},{"rel":"revision","href":"/dashboards/10092/revisions/1"},{"rel":"download","href":"/dashboards/10092/revisions/1/download"},{"rel":"org","href":"/orgs/adams"},{"rel":"images","href":"/dashboards/10092/images"},{"rel":"thumbnails","href":"/dashboards/10092/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21229,"status":1,"statusCode":"active","orgId":310145,"orgSlug":"sstetsyak","orgName":"sstetsyak","slug":"general-k8s-overview","downloads":256,"revisionId":33044,"revision":1,"name":"general-k8s-overview","description":"General overview of k8s cluster","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-05T14:53:50.000Z","updatedAt":"2024-06-05T14:56:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21229"},{"rel":"revisions","href":"/dashboards/21229/revisions"},{"rel":"revision","href":"/dashboards/21229/revisions/1"},{"rel":"download","href":"/dashboards/21229/revisions/1/download"},{"rel":"org","href":"/orgs/sstetsyak"},{"rel":"images","href":"/dashboards/21229/images"},{"rel":"thumbnails","href":"/dashboards/21229/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15148,"status":1,"statusCode":"active","orgId":351080,"orgSlug":"estevamdf2","orgName":"estevamdf2","slug":"generator-mcm-3320","downloads":304,"revisionId":22695,"revision":1,"name":"Generator MCM 3320","description":"Panel for measurement of Generator model MCM 3320.\n","readme":"Dashboard for Generator model MCM 3320. It's contains the following metrics:\n\n- L1, L2 and L3 voltage\n- L1, L2 and L3 current\n- Gen. Available status\n- Average voltage\n- Utility total KW\n- L1, L2 Voltage\n- L2, L3 Voltage\n- L3, L1 Voltage\n\nImportant\n\nIt's available the zabbix template what is applicable for this dashboard. Check in: https://github.com/estevamdf2/generator/tree/main/docs/zabbix Name of templates.\n\n- Template Generators\n- Template Generators MCM\n\nAfter you import in your Zabbix this template and register the equipament. Back to grafana to fill the fields for loading correct this dashboard\n\nChange data for the fields:\n\n```\n\"group\":{\n    \"filter\":\"Zabbix/groupHosts\"\n}\n```\nchange for the name of your Zabbix Host group\n\n```\n\"host\":{\n    \"filter\":\"My-ups\"\n}\n```\nchange for the name of your Zabbix host.\n\nAfter changes your dashboard is done for use.\n\nZabbix version template: 5.0.5\nGrafana version: 7.4.3","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2021-10-24T01:34:47.000Z","updatedAt":"2021-10-24T01:43:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15148"},{"rel":"revisions","href":"/dashboards/15148/revisions"},{"rel":"revision","href":"/dashboards/15148/revisions/1"},{"rel":"download","href":"/dashboards/15148/revisions/1/download"},{"rel":"org","href":"/orgs/estevamdf2"},{"rel":"images","href":"/dashboards/15148/images"},{"rel":"thumbnails","href":"/dashboards/15148/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":10376,"status":1,"statusCode":"active","orgId":258115,"orgSlug":"jfiedler","orgName":"Jan Fiedler","slug":"generic-go-process","downloads":840,"revisionId":14506,"revision":1,"name":"Generic Go Processes","description":"Process status published by Go Prometheus client library, e.g. memory used, fds open, GC details.\n","readme":"This is a slightly enhanced version of dashboard 6671 that supports variables for matching the metric namespace and pod tag names. This makes it easier to reuse the dashboard in different environments and scrape label configurations.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-06-19T05:53:26.000Z","updatedAt":"2019-06-19T06:04:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10376"},{"rel":"revisions","href":"/dashboards/10376/revisions"},{"rel":"revision","href":"/dashboards/10376/revisions/1"},{"rel":"download","href":"/dashboards/10376/revisions/1/download"},{"rel":"org","href":"/orgs/jfiedler"},{"rel":"images","href":"/dashboards/10376/images"},{"rel":"thumbnails","href":"/dashboards/10376/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3297,"status":1,"statusCode":"active","orgId":87459,"orgSlug":"ipolishchuk","orgName":"Igor Polishchuk","slug":"generic-node","downloads":2249,"revisionId":4563,"revision":1,"name":"Generic Node","description":"Dashboard to get an overview of one Linux server.\r\n","readme":"1. The dashboard assumes that the node_exporter job is called db_nodes. Replace it for your needs. \r\nA metric node_filesystem_avail is calculated by Prometheus rule. Save this to a file /etc/prometheus/rules/compute_metrics.rules on your Prometheus server:\r\n\r\nnode::node_filesystem_avail::percent=\r\n  round(100*(min by (job,instance,mountpoint,fstype) (node_filesystem_avail{fstype !~ \"rpc_pipefs|rootfs|tmpfs\",device!=\"/etc/auto.misc\",mountpoint !~ \"/boot|/net|/selinux\"}/node_filesystem_size{fstype !~ \"rpc_pipefs|rootfs|tmpfs\",device!=\"/etc/auto.misc\",mountpoint !~ \"/boot|/net|/selinux\"})),0.01)\r\n\r\n2. \"System load normalized\" chart shows system load divided by number of CPU cores ","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-09-25T21:52:28.000Z","updatedAt":"2017-09-25T22:48:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3297"},{"rel":"revisions","href":"/dashboards/3297/revisions"},{"rel":"revision","href":"/dashboards/3297/revisions/1"},{"rel":"download","href":"/dashboards/3297/revisions/1/download"},{"rel":"org","href":"/orgs/ipolishchuk"},{"rel":"images","href":"/dashboards/3297/images"},{"rel":"thumbnails","href":"/dashboards/3297/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14759,"status":1,"statusCode":"active","orgId":524156,"orgSlug":"nanobyte","orgName":"nanobyte","slug":"generic-service","downloads":1031,"revisionId":27520,"revision":10,"name":"Generic Service","description":"Simplifies monitoring services on Kubernetes. Shows container logs, availability, resource usage and HTTP and gRPC traffic.","readme":"# Generic Service Dashboard\r\n\r\n[![GitHub](https://shields.io/badge/GitHub-source-green?logo=github)](https://github.com/nano-byte/grafana-dashboards/tree/master/generic-service)\r\n\r\nThis Grafana dashboard simplifies monitoring typical \"80% case\" services on Kubernetes. It shows:\r\n\r\n- Logs\r\n- Availability and Resources\r\n- HTTP and gRPC traffic\r\n\r\n## Logs\r\n\r\nThe dashboard assumes you are using [Loki](https://grafana.com/oss/loki/) to aggregate container log files.\r\n\r\nIn order for log level filtering to work, you'll need to ensure log entries carry the label `level`.  \r\nSupported values: `trace`, `debug`, `info`, `warn`, `error`, `fatal`\r\n\r\nA typical [Promtail configuration](https://grafana.com/docs/loki/latest/clients/promtail/configuration/#pipeline_stages) to achieve this for JSON-encoded log output could look like this:\r\n\r\n```yaml\r\npipelineStages:\r\n  - docker: {}\r\n  - cri: {}\r\n  - json:\r\n      expressions:\r\n        ts: ts\r\n        msg: msg\r\n        level: level\r\n  - timestamp:\r\n      source: ts\r\n      format: RFC3339Nano\r\n      action_on_failure: skip\r\n  - labels:\r\n      level:\r\n  - output:\r\n      source: msg\r\n```\r\n\r\n## Availability and Resources\r\n\r\nThe dashboard works well with services deployed using the [Generic Service Helm Chart](https://artifacthub.io/packages/helm/nano-byte/generic-service). You can also it with other services, as long as they use Kubernetes `Deployment`s and containers with matching names.\r\n\r\nThe dashboard shows the average uptime of your service, a timeline when some or all replicas where down and a timeline when pod restarts occurred.\r\n\r\nIt also shows the containers' memory and CPU usage, along with requests and limits if they are specified.\r\n\r\n## Traffic\r\n\r\nThe dashboard assumes you are using [NGINX Ingress Controller](https://kubernetes.github.io/ingress-nginx/) or [Istio](https://istio.io/) to route HTTP traffic to your containers. In order for traffic to be visualized you need to use `Ingress`es or `VirtualService`s with names matching your `Deployment`s.\r\n\r\nIf you use gRPC and want more detailed information to show up on the dashboard you can provide the necessary metrics by using one of these libraries:\r\n\r\n- [go-grpc-prometheus](https://github.com/grpc-ecosystem/go-grpc-prometheus) for Go\r\n- [Nexogen.Libraries.Metrics.Grpc](https://github.com/nexogen-international/Nexogen.Libraries.Metrics#grpc) for .NET","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2021-07-22T15:12:53.000Z","updatedAt":"2023-01-25T14:34:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14759"},{"rel":"revisions","href":"/dashboards/14759/revisions"},{"rel":"revision","href":"/dashboards/14759/revisions/10"},{"rel":"download","href":"/dashboards/14759/revisions/10/download"},{"rel":"org","href":"/orgs/nanobyte"},{"rel":"images","href":"/dashboards/14759/images"},{"rel":"thumbnails","href":"/dashboards/14759/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":19036,"status":1,"statusCode":"active","orgId":885038,"orgSlug":"axelducamp01","orgName":"frontgva","slug":"gva","downloads":297,"revisionId":29167,"revision":1,"name":"Geneva Airport","description":"GVA Airport Statistics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2023-06-23T12:42:38.000Z","updatedAt":"2023-06-23T12:55:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19036"},{"rel":"revisions","href":"/dashboards/19036/revisions"},{"rel":"revision","href":"/dashboards/19036/revisions/1"},{"rel":"download","href":"/dashboards/19036/revisions/1/download"},{"rel":"org","href":"/orgs/axelducamp01"},{"rel":"images","href":"/dashboards/19036/images"},{"rel":"thumbnails","href":"/dashboards/19036/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":24717,"status":1,"statusCode":"active","orgId":1645723,"orgSlug":"nschermer","orgName":"nschermer","slug":"geo-guardian","downloads":23,"revisionId":39621,"revision":1,"name":"Geo Guardian","description":"A high-performance GeoIP-based access control service written in Go suitable for Traefik middelware","readme":"# 🛡️ Geo Guardian\r\n\r\nA high-performance GeoIP-based access control service written in Go.\r\n\r\nThis container is intended for use as a **ForwardAuth middleware in Traefik**, enabling geo-location based access control for your applications. It also provides a metrics endpoint for Prometheus or VictoriaMetrics.\r\n\r\nMore information:\r\n[https://github.com/nschermer/geo-guardian](https://github.com/nschermer/geo-guardian)\r\n\r\n[https://hub.docker.com/r/nschermer/geo-guardian](https://hub.docker.com/r/nschermer/geo-guardian)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, Prometheus","privacy":"public","createdAt":"2026-01-20T20:45:32.000Z","updatedAt":"2026-01-21T06:11:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24717"},{"rel":"revisions","href":"/dashboards/24717/revisions"},{"rel":"revision","href":"/dashboards/24717/revisions/1"},{"rel":"download","href":"/dashboards/24717/revisions/1/download"},{"rel":"org","href":"/orgs/nschermer"},{"rel":"images","href":"/dashboards/24717/images"},{"rel":"thumbnails","href":"/dashboards/24717/thumbnails"}],"datasourceSlugs":["__expr__","prometheus"]},{"id":19450,"status":1,"statusCode":"active","orgId":854106,"orgSlug":"whosfritz","orgName":"whosfritz","slug":"geo-mapping-ivan","downloads":397,"revisionId":29822,"revision":1,"name":"Geo-Mapping-ivan","description":"Dashboard to show info about auth.log entries. Get newest version from github repository. Json and Exporter","readme":"# Geo-Mapping-Ivan\r\n## Overview\r\n\r\nThis dashboard provides insights into [brief description of what the dashboard visualizes]. It utilizes data collected from `/var/log/auth.log` using the [Geo-Mapping-Ivan](https://github.com/whosFritz/geo-mapping-ivan) program which collects ip and username and gets geographical information through an api and presents it in a user-friendly and visually appealing manner.\r\n**Use the json from the github repository cause that's the newest.**\r\n\r\n## Features\r\n\r\n- show most tried usernames\r\n- show most attack origin countries\r\n- show markers on map based on longitued and latitude\r\n\r\n## Usage\r\n\r\nTo use this dashboard, follow these steps:\r\n\r\n1. **Data Source Configuration**: Ensure that you have configured your data source prometheus in Grafana. The dashboard is designed to work with this specific data source.\r\n\r\n2. **Dashboard Import**: Copy the JSON file or the ID\r\n\r\n   - Go to your Grafana instance.\r\n   - Click on the '+' icon on the left sidebar to open the \"Create\" menu.\r\n   - Select \"Import\" to open the Import Dashboard page.\r\n   - Click on the \"Upload .json File\" button and select the downloaded dashboard.json file.\r\n   - Configure the data source for the imported dashboard to match your [data source].\r\n   - Click on \"Import\" to finalize the dashboard import.\r\n\r\n3. **Customization**: Once the dashboard is imported, you can customize it further to match your preferences and requirements. You can modify panels, adjust time ranges, and add more visualizations as needed.\r\n\r\n## Additional Information\r\n\r\n- **Author**: [whosfritz](https://www.whosfritz.de)\r\n- **License**: MIT License\r\n- **Contact**: [Fritz.Schubert@whosfritz.de](mailto:Fritz.Schubert@whosfritz.de)\r\n\r\n## License\r\n\r\nThis dashboard is licensed under the MIT License. You are free to use, modify, and distribute it according to the terms of the license.\r\n\r\n## Acknowledgments\r\n\r\n- [fsnotify](https://github.com/fsnotify/fsnotify)\r\n\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-08-31T08:36:40.000Z","updatedAt":"2023-09-02T19:11:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19450"},{"rel":"revisions","href":"/dashboards/19450/revisions"},{"rel":"revision","href":"/dashboards/19450/revisions/1"},{"rel":"download","href":"/dashboards/19450/revisions/1/download"},{"rel":"org","href":"/orgs/whosfritz"},{"rel":"images","href":"/dashboards/19450/images"},{"rel":"thumbnails","href":"/dashboards/19450/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11060,"status":1,"statusCode":"active","orgId":306952,"orgSlug":"nvpivot","orgName":"nvpivot","slug":"geode-member-level-metrics","downloads":477,"revisionId":15464,"revision":2,"name":"Geode Member Level Metrics","description":"Dashboard for Apache Geode with Prometheus Meter Registry","readme":"This Dashboard builds off of the Micrometer dashboard (4701), by adding filtering capabilities for any cluster/member combination of Geode. 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See the [blog post](https://medium.com/@bossm8/geoip-dashboards-in-grafana-from-iptables-logs-101a3b256d55) for instructions on how to setup.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2023-01-13T18:19:52.000Z","updatedAt":"2025-03-16T17:18:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17877"},{"rel":"revisions","href":"/dashboards/17877/revisions"},{"rel":"revision","href":"/dashboards/17877/revisions/6"},{"rel":"download","href":"/dashboards/17877/revisions/6/download"},{"rel":"org","href":"/orgs/bossm8"},{"rel":"images","href":"/dashboards/17877/images"},{"rel":"thumbnails","href":"/dashboards/17877/thumbnails"}],"datasourceSlugs":["loki"]},{"id":21522,"status":1,"statusCode":"active","orgId":1171457,"orgSlug":"zorantalevski","orgName":"zorantalevski","slug":"geoip","downloads":280,"revisionId":33583,"revision":1,"name":"GeoIP","description":"short desc","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2024-07-15T14:41:36.000Z","updatedAt":"2024-07-15T14:42:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21522"},{"rel":"revisions","href":"/dashboards/21522/revisions"},{"rel":"revision","href":"/dashboards/21522/revisions/1"},{"rel":"download","href":"/dashboards/21522/revisions/1/download"},{"rel":"org","href":"/orgs/zorantalevski"},{"rel":"images","href":"/dashboards/21522/images"},{"rel":"thumbnails","href":"/dashboards/21522/thumbnails"}],"datasourceSlugs":["loki"]},{"id":13429,"status":1,"statusCode":"active","orgId":438642,"orgSlug":"thomasdraebing","orgName":"gerrit-codereview","slug":"gerrit-caches","downloads":379,"revisionId":21728,"revision":2,"name":"Gerrit - Caches","description":"","readme":"# Gerrit Caches dashboard\n\nThis dashboard is being maintained as part of the [gerrit-monitoring project](https://gerrit-review.googlesource.com/admin/repos/gerrit-monitoring). It is meant to be used with the [metrics-reporter-prometheus plugin](https://gerrit-review.googlesource.com/admin/repos/plugins/metrics-reporter-prometheus) for Gerrit and Prometheus. The project provides a Kubernetes-based setup to install a complete monitoring and logging stack. Multiple dashboards are available.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-20T07:40:58.000Z","updatedAt":"2021-06-30T06:36:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13429"},{"rel":"revisions","href":"/dashboards/13429/revisions"},{"rel":"revision","href":"/dashboards/13429/revisions/2"},{"rel":"download","href":"/dashboards/13429/revisions/2/download"},{"rel":"org","href":"/orgs/thomasdraebing"},{"rel":"images","href":"/dashboards/13429/images"},{"rel":"thumbnails","href":"/dashboards/13429/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13430,"status":1,"statusCode":"active","orgId":438642,"orgSlug":"thomasdraebing","orgName":"gerrit-codereview","slug":"gerrit-git-fetch-clone","downloads":400,"revisionId":21727,"revision":2,"name":"Gerrit - Git Fetch & Clone","description":"","readme":"# Gerrit \"Git Fetch/Clone\" dashboard\n\nThis dashboard is being maintained as part of the [gerrit-monitoring project](https://gerrit-review.googlesource.com/admin/repos/gerrit-monitoring). It is meant to be used with the [metrics-reporter-prometheus plugin](https://gerrit-review.googlesource.com/admin/repos/plugins/metrics-reporter-prometheus) for Gerrit and Prometheus. The project provides a Kubernetes-based setup to install a complete monitoring and logging stack. Multiple dashboards are available.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-20T08:02:59.000Z","updatedAt":"2021-06-30T06:35:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13430"},{"rel":"revisions","href":"/dashboards/13430/revisions"},{"rel":"revision","href":"/dashboards/13430/revisions/2"},{"rel":"download","href":"/dashboards/13430/revisions/2/download"},{"rel":"org","href":"/orgs/thomasdraebing"},{"rel":"images","href":"/dashboards/13430/images"},{"rel":"thumbnails","href":"/dashboards/13430/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14642,"status":1,"statusCode":"active","orgId":438642,"orgSlug":"thomasdraebing","orgName":"gerrit-codereview","slug":"gerrit-healthcheck","downloads":464,"revisionId":21729,"revision":1,"name":"Gerrit - Healthcheck","description":"Dashboard showing the Gerrit server health using metrics provided by the healthcheck plugin","readme":"# Gerrit Healthcheck dashboard\n\nThis dashboard is being maintained as part of the gerrit-monitoring project. It is meant to be used with the metrics-reporter-prometheus plugin for Gerrit and Prometheus. The project provides a Kubernetes-based setup to install a complete monitoring and logging stack. Multiple dashboards are available.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-06-30T06:37:28.000Z","updatedAt":"2021-06-30T06:38:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14642"},{"rel":"revisions","href":"/dashboards/14642/revisions"},{"rel":"revision","href":"/dashboards/14642/revisions/1"},{"rel":"download","href":"/dashboards/14642/revisions/1/download"},{"rel":"org","href":"/orgs/thomasdraebing"},{"rel":"images","href":"/dashboards/14642/images"},{"rel":"thumbnails","href":"/dashboards/14642/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13431,"status":1,"statusCode":"active","orgId":438642,"orgSlug":"thomasdraebing","orgName":"gerrit-codereview","slug":"gerrit-notedb-latency","downloads":623,"revisionId":21722,"revision":2,"name":"Gerrit - NOTEDB Latency","description":"","readme":"# Gerrit NoteDB Latency dashboard\n\nThis dashboard is being maintained as part of the [gerrit-monitoring project](https://gerrit-review.googlesource.com/admin/repos/gerrit-monitoring). It is meant to be used with the [metrics-reporter-prometheus plugin](https://gerrit-review.googlesource.com/admin/repos/plugins/metrics-reporter-prometheus) for Gerrit and Prometheus. The project provides a Kubernetes-based setup to install a complete monitoring and logging stack. Multiple dashboards are available.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-20T08:06:55.000Z","updatedAt":"2021-06-30T06:21:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13431"},{"rel":"revisions","href":"/dashboards/13431/revisions"},{"rel":"revision","href":"/dashboards/13431/revisions/2"},{"rel":"download","href":"/dashboards/13431/revisions/2/download"},{"rel":"org","href":"/orgs/thomasdraebing"},{"rel":"images","href":"/dashboards/13431/images"},{"rel":"thumbnails","href":"/dashboards/13431/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13435,"status":1,"statusCode":"active","orgId":438642,"orgSlug":"thomasdraebing","orgName":"gerrit-codereview","slug":"gerrit-overview","downloads":653,"revisionId":21718,"revision":2,"name":"Gerrit - Overview","description":"","readme":"# Gerrit Overview dashboard\n\nThis dashboard is being maintained as part of the [gerrit-monitoring project](https://gerrit-review.googlesource.com/admin/repos/gerrit-monitoring). It is meant to be used with the [metrics-reporter-prometheus plugin](https://gerrit-review.googlesource.com/admin/repos/plugins/metrics-reporter-prometheus) for Gerrit and Prometheus. The project provides a Kubernetes-based setup to install a complete monitoring and logging stack. Multiple dashboards are available.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-20T08:13:02.000Z","updatedAt":"2021-06-30T06:16:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13435"},{"rel":"revisions","href":"/dashboards/13435/revisions"},{"rel":"revision","href":"/dashboards/13435/revisions/2"},{"rel":"download","href":"/dashboards/13435/revisions/2/download"},{"rel":"org","href":"/orgs/thomasdraebing"},{"rel":"images","href":"/dashboards/13435/images"},{"rel":"thumbnails","href":"/dashboards/13435/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13432,"status":1,"statusCode":"active","orgId":438642,"orgSlug":"thomasdraebing","orgName":"gerrit-codereview","slug":"gerrit-process","downloads":394,"revisionId":21721,"revision":2,"name":"Gerrit - Process","description":"","readme":"# Gerrit Process dashboard\n\nThis dashboard is being maintained as part of the [gerrit-monitoring project](https://gerrit-review.googlesource.com/admin/repos/gerrit-monitoring). It is meant to be used with the [metrics-reporter-prometheus plugin](https://gerrit-review.googlesource.com/admin/repos/plugins/metrics-reporter-prometheus) for Gerrit and Prometheus. The project provides a Kubernetes-based setup to install a complete monitoring and logging stack. Multiple dashboards are available.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-20T08:08:54.000Z","updatedAt":"2021-06-30T06:19:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13432"},{"rel":"revisions","href":"/dashboards/13432/revisions"},{"rel":"revision","href":"/dashboards/13432/revisions/2"},{"rel":"download","href":"/dashboards/13432/revisions/2/download"},{"rel":"org","href":"/orgs/thomasdraebing"},{"rel":"images","href":"/dashboards/13432/images"},{"rel":"thumbnails","href":"/dashboards/13432/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14638,"status":1,"statusCode":"active","orgId":438642,"orgSlug":"thomasdraebing","orgName":"gerrit-codereview","slug":"gerrit-push-latency","downloads":344,"revisionId":21723,"revision":1,"name":"Gerrit - PUSH Latency","description":"Dashboard showing the latencies of push requests","readme":"# Gerrit PUSH Latency dashboard\n\nThis dashboard is being maintained as part of the [gerrit-monitoring project](https://gerrit-review.googlesource.com/admin/repos/gerrit-monitoring). It is meant to be used with the [metrics-reporter-prometheus plugin](https://gerrit-review.googlesource.com/admin/repos/plugins/metrics-reporter-prometheus) for Gerrit and Prometheus. The project provides a Kubernetes-based setup to install a complete monitoring and logging stack. 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It is meant to be used with the metrics-reporter-prometheus plugin for Gerrit and Prometheus. The project provides a Kubernetes-based setup to install a complete monitoring and logging stack. 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It is meant to be used with the [metrics-reporter-prometheus plugin](https://gerrit-review.googlesource.com/admin/repos/plugins/metrics-reporter-prometheus) for Gerrit and Prometheus. The project provides a Kubernetes-based setup to install a complete monitoring and logging stack. 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It is meant to be used with the [metrics-reporter-prometheus plugin](https://gerrit-review.googlesource.com/admin/repos/plugins/metrics-reporter-prometheus) for Gerrit and Prometheus. The project provides a Kubernetes-based setup to install a complete monitoring and logging stack. 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It is meant to be used with the metrics-reporter-prometheus plugin for Gerrit and Prometheus. The project provides a Kubernetes-based setup to install a complete monitoring and logging stack. 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Can also monitor Gitea's PVC storage space.\r\n\r\nThe \"app.ini\" needs to have at least the following in the metrics section:\r\n\r\n  [metrics]\r\n  ENABLED = true\r\n  ENABLED_ISSUE_BY_REPOSITORY=true\r\n  ENABLED_ISSUE_BY_LABEL=true","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-01-04T21:56:04.000Z","updatedAt":"2024-03-25T21:31:11.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17802"},{"rel":"revisions","href":"/dashboards/17802/revisions"},{"rel":"revision","href":"/dashboards/17802/revisions/3"},{"rel":"download","href":"/dashboards/17802/revisions/3/download"},{"rel":"org","href":"/orgs/reefland"},{"rel":"images","href":"/dashboards/17802/images"},{"rel":"thumbnails","href":"/dashboards/17802/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24157,"status":1,"statusCode":"active","orgId":109622,"orgSlug":"davasny","orgName":"davasny","slug":"github-actions-insights","downloads":165,"revisionId":38519,"revision":1,"name":"Github Actions - pipetrics.com insights","description":"End-to-end GitHub Actions insights with Pipetrics: success rate, billed vs. actual minutes, usage by trigger, queue delays, and workflow reliability across repositories.","readme":"# Pipetrics.com - GitHub Actions Insights\r\n\r\n**Overview**  \r\nGet a clear view of how your GitHub Actions are performing across repositories. This dashboard surfaces usage, reliability, and queueing metrics directly from Pipetrics, so you can quickly spot inefficiencies, failures, and cost drivers.\r\n\r\n## What you’ll see\r\n\r\n- **Repository success rate:** Track overall health and stability of your workflows.  \r\n- **Minutes overhead:** Compare billed vs. actual runtime to uncover wasted spend.  \r\n- **Usage over time:** Understand how runtime minutes trend across repositories.  \r\n- **Breakdown by trigger:** See how push, PR, scheduled, and other triggers affect your usage and run counts.  \r\n- **Queue wait times:** Identify when jobs are delayed waiting for available runners.  \r\n- **Per-repository drill-downs:**  \r\n  - Minutes consumed by individual workflows.  \r\n  - Execution results split by success, failure, skipped, and cancelled.  \r\n  - High-percentile job durations to highlight bottlenecks.  \r\n  - Workflow outcomes over time for deeper reliability analysis.  \r\n\r\n## Flexible controls\r\n\r\n- Toggle whether to show organization names or just repositories.  \r\n- Choose between displaying full workflow file paths or short names.  \r\n- Filter by repositories, workflows, and time intervals to focus your view.\r\n\r\n## Requirements\r\n\r\n- active account at [https://pipetrics.com/](https://pipetrics.com/)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2025-09-24T22:14:00.000Z","updatedAt":"2025-09-29T10:23:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24157"},{"rel":"revisions","href":"/dashboards/24157/revisions"},{"rel":"revision","href":"/dashboards/24157/revisions/1"},{"rel":"download","href":"/dashboards/24157/revisions/1/download"},{"rel":"org","href":"/orgs/davasny"},{"rel":"images","href":"/dashboards/24157/images"},{"rel":"thumbnails","href":"/dashboards/24157/thumbnails"}],"datasourceSlugs":["grafana-postgresql-datasource"]},{"id":25015,"status":1,"statusCode":"active","orgId":1701469,"orgSlug":"ph0xy","orgName":"ph0xy","slug":"github-actions-arc-runner-scale-set","downloads":206,"revisionId":40394,"revision":4,"name":"GitHub Actions ARC - Runner Scale Set","description":"Monitors the GitHub Actions Runner Scale Set Controller (ARC) running on Kubernetes.","readme":"## Panels\r\n\r\n- **Runner Pool** — registered, busy, idle, desired, min/max runners + autoscaler bounds over time\r\n- **Job Throughput** — assigned/started/completed/running counts, job rate per minute, startup and execution duration (p50/p95)\r\n- **Controller Health** — reconcile rate, errors, duration (p50/p95), active workers, work queue depth\r\n\r\n## Requirements\r\n\r\n- ARC installed in scale set mode (`helm install arc-controller`)\r\n- Prometheus scraping ARC pods with `job` labels `arc-controller` and `arc-listeners`\r\n\r\n## Template Variables\r\n\r\n- `datasource` — select your Prometheus datasource\r\n\r\n## Source\r\n\r\n[PDGIII/Dashboards](https://github.com/PDGIII/Dashboards/tree/main/github-actions-arc-runner-scale-set)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-03-16T21:39:20.000Z","updatedAt":"2026-05-08T17:56:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25015"},{"rel":"revisions","href":"/dashboards/25015/revisions"},{"rel":"revision","href":"/dashboards/25015/revisions/4"},{"rel":"download","href":"/dashboards/25015/revisions/4/download"},{"rel":"org","href":"/orgs/ph0xy"},{"rel":"images","href":"/dashboards/25015/images"},{"rel":"thumbnails","href":"/dashboards/25015/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":863,"status":1,"statusCode":"active","orgId":35105,"orgSlug":"mhausenblas","orgName":"Michael Hausenblas","slug":"github-activity-of-dcos-org","downloads":449,"revisionId":1253,"revision":1,"name":"GitHub activity of dcos org","description":"Shows the activity on GitHub of the dcos organization. ","readme":"Uses a [fetcher](https://github.com/mhausenblas/github-api-fetcher/) to ingest data from GitHub into InfluxDB and displays activities on repos and individual contributors.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2016-11-16T17:54:44.000Z","updatedAt":"2016-11-16T17:57:19.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/863"},{"rel":"revisions","href":"/dashboards/863/revisions"},{"rel":"revision","href":"/dashboards/863/revisions/1"},{"rel":"download","href":"/dashboards/863/revisions/1/download"},{"rel":"org","href":"/orgs/mhausenblas"},{"rel":"images","href":"/dashboards/863/images"},{"rel":"thumbnails","href":"/dashboards/863/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":25053,"status":1,"statusCode":"active","orgId":294226,"orgSlug":"fb1w2w3y","orgName":"fb1w2w3y","slug":"github-copilot","downloads":39,"revisionId":40276,"revision":1,"name":"GitHub Copilot","description":"Monitor GitHub Copilot usage and performance via Application Insights OpenTelemetry data. Tracks agent operations, LLM token consumption, model latency (response duration and time-to-first-token), chat sessions, tool calls, feature adoption, and errors. Includes trace drill-down for debugging individual Copilot interactions.","readme":"# GitHub Copilot\r\n\r\nMonitoring dashboard for GitHub Copilot usage and performance via Application Insights OpenTelemetry data. Tracks agent operations, LLM token consumption, model latency (response duration and time-to-first-token), chat sessions, tool calls, feature adoption, and errors. Includes trace drill-down for debugging individual Copilot interactions.\r\n\r\n## Screenshots\r\n![GitHub Copilot – Main](https://github.com/1w2w3y/grafana-dashboards/raw/master/github-copilot/github-copilot-main.png)\r\n\r\n## Issues and feedback\r\nhttps://github.com/1w2w3y/grafana-dashboards/issues\r\n\r\n## Features\r\n- Summary\r\n  - Agent Summary Statistics (total operations, tokens, avg response time)\r\n  - Chat & Tool Summary (total calls, tokens, avg TTFT)\r\n- Usage Over Time\r\n  - Operations Over Time\r\n  - Token Consumption Over Time by Model\r\n- Model Performance\r\n  - Model Usage Distribution\r\n  - Response Duration by Model (Avg / P90)\r\n  - Time to First Token by Model (P50 / P90)\r\n- Latency Trends\r\n  - Avg Response Duration Over Time by Model\r\n  - Time to First Token (P50 / P90) Over Time\r\n- Agent & Feature Activity\r\n  - Copilot Feature Usage\r\n  - Top Tool Calls\r\n  - Sessions, Turns & Tool Calls Over Time\r\n- Token Efficiency & Cost\r\n  - Token Usage by Model (Table)\r\n  - Input vs Output Tokens Over Time\r\n- Errors & Reliability\r\n  - Exceptions Over Time\r\n  - Exception Details\r\n- Trace Drill-Down\r\n  - Select a trace by operation\r\n  - Recent Operations table\r\n  - Trace Visualization\r\n\r\n## How it works\r\n- Grafana queries Application Insights via the Azure Monitor data source using Log Analytics (KQL) queries against OpenTelemetry data.\r\n- Variables:\r\n  - `am_ds` — Azure Monitor data source\r\n  - `sub` — Azure subscription\r\n  - `rg` — Resource group (resolved via Azure Resource Graph for `microsoft.insights/components`)\r\n  - `res` — Application Insights resource\r\n  - `copilotTraceId` — hidden variable for trace drill-down, populated from `dependencies` table filtered by `service.name == \"copilot-chat\"`\r\n- Default time range is 7 days.\r\n\r\n## Requirements\r\n- Grafana 11.6+ with the Azure Monitor data source configured with access to the subscription containing your Application Insights resource.\r\n- GitHub Copilot telemetry data flowing into Application Insights via OpenTelemetry. See [Ingest data into Application Insights via OpenTelemetry Collector](https://aka.ms/amg/dash-doc/otlp-appinsights) for the end-to-end setup — running the OTel Collector with the Azure Monitor Exporter, the VS Code `settings.json` keys (`github.copilot.chat.otel.enabled`, `otlpEndpoint`, etc.), and KQL verification queries against the `dependencies` table (`cloud_RoleName == \"copilot-chat\"`).\r\n\r\n## Change history\r\n- 5/1/2026 Point data-ingestion link to the published Microsoft Learn guide (aka.ms/amg/dash-doc/otlp-appinsights)\r\n- 3/23/2026 Initial version","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2026-03-23T18:30:39.000Z","updatedAt":"2026-05-02T04:38:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25053"},{"rel":"revisions","href":"/dashboards/25053/revisions"},{"rel":"revision","href":"/dashboards/25053/revisions/1"},{"rel":"download","href":"/dashboards/25053/revisions/1/download"},{"rel":"org","href":"/orgs/fb1w2w3y"},{"rel":"images","href":"/dashboards/25053/images"},{"rel":"thumbnails","href":"/dashboards/25053/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":25321,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"github-copilot","downloads":0,"revisionId":40835,"revision":1,"name":"GitHub Copilot","description":"Monitors GitHub Copilot usage and performance via Application Insights OpenTelemetry data. Tracks agent operations, LLM token consumption, model latency (response duration and time-to-first-token), chat sessions, tool calls, feature adoption, and errors. Includes trace drill-down for debugging individual Copilot interactions.","readme":"# GitHub Copilot Monitoring Dashboard\r\n\r\nMonitor GitHub Copilot usage and performance across your organization using Application Insights and OpenTelemetry data.\r\n\r\n## What This Dashboard Shows\r\n\r\n- **Summary KPIs**: Total agent operations, token consumption, and average response time\r\n- **LLM Performance**: Model latency, response duration, and time-to-first-token metrics\r\n- **Chat Sessions**: Active sessions, conversation turns, and user engagement\r\n- **Tool Calls**: Tool usage patterns, success rates, and feature adoption\r\n- **Error Tracking**: Exception rates, error breakdowns, and trace drill-down for debugging\r\n\r\n## Prerequisites\r\n\r\n- Azure Managed Grafana instance\r\n- Application Insights resource with OpenTelemetry data from GitHub Copilot\r\n- Azure Monitor data source configured in Grafana\r\n\r\n## Getting Started\r\n\r\n1. Import this dashboard into your Azure Managed Grafana instance\r\n2. Select your Azure Monitor data source\r\n3. Configure the Application Insights resource filter\r\n\r\nFor detailed setup instructions, visit: https://aka.ms/amg/dash-doc/gh-copilot","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2026-05-21T23:22:03.000Z","updatedAt":"2026-05-21T23:23:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25321"},{"rel":"revisions","href":"/dashboards/25321/revisions"},{"rel":"revision","href":"/dashboards/25321/revisions/1"},{"rel":"download","href":"/dashboards/25321/revisions/1/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/25321/images"},{"rel":"thumbnails","href":"/dashboards/25321/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":14000,"status":1,"statusCode":"active","orgId":363625,"orgSlug":"cloudycelt","orgName":"cloudycelt","slug":"github-default","downloads":53332,"revisionId":20521,"revision":1,"name":"GitHub Default","description":"This dashboard contains a sample of some of the various features and display methods available in the GitHub datasource.","readme":"The GitHub datasource plugin is available for download [here](https://grafana.com/grafana/plugins/grafana-github-datasource/).\r\n\r\nThis dashboard uses a sampling of the available features in the GitHub data source to show interesting information about a given GitHub repository. A version of this dashboard is also bundled within the data source plugin.\r\n\r\nEnsure you have a properly configured GitHub data source for it to work. By default it will read from the grafana/grafana repository but any can be used.\r\n\r\nRead more about the plugin on the [Grafana blog](https://grafana.com/blog/2020/09/21/how-we-use-the-grafana-github-plugin-to-track-outstanding-pull-requests/).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"GitHub","privacy":"public","createdAt":"2021-03-03T19:46:07.000Z","updatedAt":"2021-04-29T18:10:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":4.67,"links":[{"rel":"self","href":"/dashboards/14000"},{"rel":"revisions","href":"/dashboards/14000/revisions"},{"rel":"revision","href":"/dashboards/14000/revisions/1"},{"rel":"download","href":"/dashboards/14000/revisions/1/download"},{"rel":"org","href":"/orgs/cloudycelt"},{"rel":"images","href":"/dashboards/14000/images"},{"rel":"thumbnails","href":"/dashboards/14000/thumbnails"}],"datasourceSlugs":["grafana-github-datasource"]},{"id":14250,"status":1,"statusCode":"active","orgId":461246,"orgSlug":"hoichoitech","orgName":"hoichoi","slug":"github-default","downloads":472,"revisionId":20979,"revision":1,"name":"GitHub 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    \"color\": \"red\",\r\n                \"value\": 80\r\n              }\r\n            ]\r\n          },\r\n          \"unit\": \"lengthm\"\r\n        },\r\n        \"overrides\": [\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"_col1\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"mappings\",\r\n                \"value\": []\r\n              }\r\n            ]\r\n          }\r\n        ]\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 4,\r\n        \"w\": 2,\r\n        \"x\": 6,\r\n        \"y\": 0\r\n      },\r\n      \"id\": 10,\r\n      \"options\": {\r\n        \"colorMode\": \"background\",\r\n        \"graphMode\": \"area\",\r\n        \"justifyMode\": \"auto\",\r\n        \"orientation\": \"auto\",\r\n        \"reduceOptions\": {\r\n          \"calcs\": [\r\n            \"lastNotNull\"\r\n          ],\r\n          \"fields\": \"\",\r\n          \"values\": false\r\n        },\r\n        \"textMode\": \"auto\"\r\n      },\r\n      \"pluginVersion\": \"10.1.5\",\r\n      \"targets\": [\r\n        {\r\n          \"column\": \"longitude\",\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": true,\r\n            \"resultReuseMaxAgeInMinutes\": 10000\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"Amazon Athena\"\r\n          },\r\n          \"format\": 0,\r\n          \"rawSQL\": \"WITH distance_deltas AS (\\r\\n    SELECT\\r\\n        distancetrip - LAG(distancetrip) OVER (ORDER BY t) AS delta_distance\\r\\n    FROM\\r\\n        tbl_${device:csv}_can9_gnssdistance\\r\\n    WHERE\\r\\n        date_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd')\\r\\n        AND\\r\\n        $__timeFilter(t)\\r\\n)\\r\\nSELECT\\r\\n    SUM(IF(delta_distance > 0, delta_distance, 0)) AS sum_positive_delta_distance\\r\\nFROM\\r\\n    distance_deltas\\r\\nWHERE\\r\\n    delta_distance IS NOT NULL;\\r\\n\",\r\n          \"refId\": \"A\"\r\n        }\r\n      ],\r\n      \"title\": \"Distance\",\r\n      \"transformations\": [\r\n        {\r\n          \"id\": \"calculateField\",\r\n          \"options\": {\r\n            \"alias\": \"MAX_distancetripkm\",\r\n            \"binary\": {\r\n              \"left\": \"MAX_distancetrip\",\r\n              \"operator\": \"/\",\r\n              \"right\": \"1000\"\r\n            },\r\n            \"mode\": \"binary\",\r\n            \"reduce\": {\r\n              \"reducer\": \"sum\"\r\n            },\r\n            \"replaceFields\": true\r\n          }\r\n        }\r\n      ],\r\n      \"type\": \"stat\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"grafana-athena-datasource\",\r\n        \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n      },\r\n      \"description\": \"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"color\": {\r\n            \"fixedColor\": \"#3d85c6\",\r\n            \"mode\": \"fixed\"\r\n          },\r\n          \"decimals\": 0,\r\n          \"mappings\": [],\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"orange\",\r\n                \"value\": 20\r\n              },\r\n              {\r\n                \"color\": \"super-light-orange\",\r\n                \"value\": 40\r\n              },\r\n              {\r\n                \"color\": \"super-light-yellow\",\r\n                \"value\": 60\r\n              },\r\n              {\r\n                \"color\": \"super-light-green\",\r\n                \"value\": 80\r\n              },\r\n              {\r\n                \"color\": \"green\",\r\n                \"value\": 100\r\n              }\r\n            ]\r\n          },\r\n          \"unit\": \"none\"\r\n        },\r\n        \"overrides\": []\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 4,\r\n        \"w\": 2,\r\n        \"x\": 8,\r\n        \"y\": 0\r\n      },\r\n      \"id\": 21,\r\n      \"options\": {\r\n        \"colorMode\": \"background\",\r\n        \"graphMode\": \"area\",\r\n        \"justifyMode\": \"auto\",\r\n        \"orientation\": \"auto\",\r\n        \"reduceOptions\": {\r\n          \"calcs\": [\r\n            \"mean\"\r\n          ],\r\n          \"fields\": \"\",\r\n          \"values\": false\r\n        },\r\n        \"textMode\": \"auto\"\r\n      },\r\n      \"pluginVersion\": \"10.1.5\",\r\n      \"targets\": [\r\n        {\r\n          \"column\": \"s01pid2f_fueltanklevel\",\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": true,\r\n            \"resultReuseMaxAgeInMinutes\": 10000\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"Amazon Athena\"\r\n          },\r\n          \"format\": 0,\r\n          \"rawSQL\": \"SELECT\\r\\n    $__timeGroup(t, $__interval) as time,\\r\\n    AVG(S01PID0C_EngineRPM)\\r\\nFROM\\r\\n    tbl_${device:csv}_CAN1_OBD2_S_M41_S01PID_M0C\\r\\nWHERE\\r\\n\\tdate_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd') \\r\\n\\tAND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    $__timeGroup(t, $__interval)\\t\",\r\n          \"refId\": \"A\",\r\n          \"table\": \"tbl_3ba199e2_can1_obd2_service_01_s01pid_2f\"\r\n        }\r\n      ],\r\n      \"title\": \"RPM\",\r\n      \"transformations\": [],\r\n      \"type\": \"stat\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"grafana-athena-datasource\",\r\n        \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n      },\r\n      \"description\": \"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"color\": {\r\n            \"fixedColor\": \"#565656\",\r\n            \"mode\": \"fixed\"\r\n          },\r\n          \"decimals\": 0,\r\n          \"mappings\": [],\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"orange\",\r\n                \"value\": 20\r\n              },\r\n              {\r\n                \"color\": \"super-light-orange\",\r\n                \"value\": 40\r\n              },\r\n              {\r\n                \"color\": \"super-light-yellow\",\r\n                \"value\": 60\r\n              },\r\n              {\r\n                \"color\": \"super-light-green\",\r\n                \"value\": 80\r\n              },\r\n              {\r\n                \"color\": \"green\",\r\n                \"value\": 100\r\n              }\r\n            ]\r\n          },\r\n          \"unit\": \"litreh\"\r\n        },\r\n        \"overrides\": []\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 4,\r\n        \"w\": 2,\r\n        \"x\": 10,\r\n        \"y\": 0\r\n      },\r\n      \"id\": 31,\r\n      \"options\": {\r\n        \"colorMode\": \"background\",\r\n        \"graphMode\": \"area\",\r\n        \"justifyMode\": \"auto\",\r\n        \"orientation\": \"auto\",\r\n        \"reduceOptions\": {\r\n          \"calcs\": [\r\n            \"mean\"\r\n          ],\r\n          \"fields\": \"\",\r\n          \"values\": false\r\n        },\r\n        \"textMode\": \"auto\"\r\n      },\r\n      \"pluginVersion\": \"10.1.5\",\r\n      \"targets\": [\r\n        {\r\n          \"column\": \"s01pid2f_fueltanklevel\",\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": true,\r\n            \"resultReuseMaxAgeInMinutes\": 10000\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"Amazon Athena\"\r\n          },\r\n          \"format\": 0,\r\n          \"rawSQL\": \"SELECT\\r\\n    $__timeGroup(t, $__interval) as time,\\r\\n    AVG(S01PID5E_EngineFuelRate)\\r\\nFROM\\r\\n    tbl_${device:csv}_CAN1_OBD2_S_M41_S01PID_M5E\\r\\nWHERE\\r\\n\\tdate_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd') \\r\\n\\tAND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    $__timeGroup(t, $__interval)\\t\",\r\n          \"refId\": \"A\",\r\n          \"table\": \"tbl_3ba199e2_can1_obd2_service_01_s01pid_2f\"\r\n        }\r\n      ],\r\n      \"title\": \"Fuel Rate\",\r\n      \"transformations\": [],\r\n      \"type\": \"stat\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"grafana-athena-datasource\",\r\n        \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n      },\r\n      \"description\": \"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"color\": {\r\n            \"fixedColor\": \"#3d85c6\",\r\n            \"mode\": \"thresholds\"\r\n          },\r\n          \"decimals\": 0,\r\n          \"mappings\": [],\r\n          \"max\": 100,\r\n          \"min\": 0,\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"orange\",\r\n                \"value\": 20\r\n              },\r\n              {\r\n                \"color\": \"super-light-orange\",\r\n                \"value\": 40\r\n              },\r\n              {\r\n                \"color\": \"super-light-yellow\",\r\n                \"value\": 60\r\n              },\r\n              {\r\n                \"color\": \"super-light-green\",\r\n                \"value\": 80\r\n              },\r\n              {\r\n                \"color\": \"green\",\r\n                \"value\": 100\r\n              }\r\n            ]\r\n          },\r\n          \"unit\": \"none\"\r\n        },\r\n        \"overrides\": []\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 4,\r\n        \"w\": 2,\r\n        \"x\": 12,\r\n        \"y\": 0\r\n      },\r\n      \"id\": 19,\r\n      \"options\": {\r\n        \"orientation\": \"auto\",\r\n        \"reduceOptions\": {\r\n          \"calcs\": [\r\n            \"lastNotNull\"\r\n          ],\r\n          \"fields\": \"\",\r\n          \"values\": false\r\n        },\r\n        \"showThresholdLabels\": false,\r\n        \"showThresholdMarkers\": true\r\n      },\r\n      \"pluginVersion\": \"10.1.5\",\r\n      \"targets\": [\r\n        {\r\n          \"column\": \"s01pid2f_fueltanklevel\",\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": true,\r\n            \"resultReuseMaxAgeInMinutes\": 10000\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"Amazon Athena\"\r\n          },\r\n          \"format\": 0,\r\n          \"rawSQL\": \"SELECT\\r\\n    $__timeGroup(t, $__interval) as time,\\r\\n    AVG(s01pid2f_fueltanklevel)\\r\\nFROM\\r\\n    tbl_${device:csv}_CAN1_OBD2_S_M41_S01PID_M2F\\r\\nWHERE\\r\\n\\tdate_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd') \\r\\n\\tAND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    $__timeGroup(t, $__interval)\\t\",\r\n          \"refId\": \"A\",\r\n          \"table\": \"tbl_3ba199e2_can1_obd2_service_01_s01pid_2f\"\r\n        }\r\n      ],\r\n      \"title\": \"Fuel (%)\",\r\n      \"transformations\": [],\r\n      \"type\": \"gauge\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"grafana-athena-datasource\",\r\n        \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n      },\r\n      \"description\": \"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"color\": {\r\n            \"fixedColor\": \"#3d85c6\",\r\n            \"mode\": \"fixed\"\r\n          },\r\n          \"decimals\": 0,\r\n          \"mappings\": [],\r\n          \"max\": 100,\r\n          \"min\": 0,\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"orange\",\r\n                \"value\": 20\r\n              },\r\n              {\r\n                \"color\": \"super-light-orange\",\r\n                \"value\": 40\r\n              },\r\n              {\r\n                \"color\": \"super-light-yellow\",\r\n                \"value\": 60\r\n              },\r\n              {\r\n                \"color\": \"super-light-green\",\r\n                \"value\": 80\r\n              },\r\n              {\r\n                \"color\": \"green\",\r\n                \"value\": 100\r\n              }\r\n            ]\r\n          },\r\n          \"unit\": \"none\"\r\n        },\r\n        \"overrides\": []\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 4,\r\n        \"w\": 2,\r\n        \"x\": 14,\r\n        \"y\": 0\r\n      },\r\n      \"id\": 20,\r\n      \"options\": {\r\n        \"orientation\": \"auto\",\r\n        \"reduceOptions\": {\r\n          \"calcs\": [\r\n            \"mean\"\r\n          ],\r\n          \"fields\": \"\",\r\n          \"values\": false\r\n        },\r\n        \"showThresholdLabels\": false,\r\n        \"showThresholdMarkers\": true\r\n      },\r\n      \"pluginVersion\": \"10.1.5\",\r\n      \"targets\": [\r\n        {\r\n          \"column\": \"s01pid2f_fueltanklevel\",\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": true,\r\n            \"resultReuseMaxAgeInMinutes\": 10000\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"Amazon Athena\"\r\n          },\r\n          \"format\": 0,\r\n          \"rawSQL\": \"SELECT\\r\\n    $__timeGroup(t, $__interval) as time,\\r\\n    AVG(S01PID04_CalcEngineLoad)\\r\\nFROM\\r\\n    tbl_${device:csv}_CAN1_OBD2_S_M41_S01PID_M04\\r\\nWHERE\\r\\n\\tdate_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd') \\r\\n\\tAND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    $__timeGroup(t, $__interval)\\t\",\r\n          \"refId\": \"A\",\r\n          \"table\": \"tbl_3ba199e2_can1_obd2_service_01_s01pid_2f\"\r\n        }\r\n      ],\r\n      \"title\": \"Load (%)\",\r\n      \"transformations\": [],\r\n      \"type\": \"gauge\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"grafana-athena-datasource\",\r\n        \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n      },\r\n      \"description\": \"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"color\": {\r\n            \"fixedColor\": \"#3d85c6\",\r\n            \"mode\": \"fixed\"\r\n          },\r\n          \"decimals\": 0,\r\n          \"mappings\": [],\r\n          \"max\": 100,\r\n          \"min\": 0,\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"orange\",\r\n                \"value\": 20\r\n              },\r\n              {\r\n                \"color\": \"super-light-orange\",\r\n                \"value\": 40\r\n              },\r\n              {\r\n                \"color\": \"super-light-yellow\",\r\n                \"value\": 60\r\n              },\r\n              {\r\n                \"color\": \"super-light-green\",\r\n                \"value\": 80\r\n              },\r\n              {\r\n                \"color\": \"green\",\r\n                \"value\": 100\r\n              }\r\n            ]\r\n          },\r\n          \"unit\": \"none\"\r\n        },\r\n        \"overrides\": []\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 4,\r\n        \"w\": 2,\r\n        \"x\": 16,\r\n        \"y\": 0\r\n      },\r\n      \"id\": 22,\r\n      \"options\": {\r\n        \"orientation\": \"auto\",\r\n        \"reduceOptions\": {\r\n          \"calcs\": [\r\n            \"mean\"\r\n          ],\r\n          \"fields\": \"\",\r\n          \"values\": false\r\n        },\r\n        \"showThresholdLabels\": false,\r\n        \"showThresholdMarkers\": true\r\n      },\r\n      \"pluginVersion\": \"10.1.5\",\r\n      \"targets\": [\r\n        {\r\n          \"column\": \"s01pid2f_fueltanklevel\",\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": true,\r\n            \"resultReuseMaxAgeInMinutes\": 10000\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"Amazon Athena\"\r\n          },\r\n          \"format\": 0,\r\n          \"rawSQL\": \"SELECT\\r\\n    $__timeGroup(t, $__interval) as time,\\r\\n    AVG(S01PID62_ActualEngTorqPct)\\r\\nFROM\\r\\n    tbl_${device:csv}_CAN1_OBD2_S_M41_S01PID_M62\\r\\nWHERE\\r\\n\\tdate_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd') \\r\\n\\tAND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    $__timeGroup(t, $__interval)\\t\",\r\n          \"refId\": \"A\",\r\n          \"table\": \"tbl_3ba199e2_can1_obd2_service_01_s01pid_2f\"\r\n        }\r\n      ],\r\n      \"title\": \"Torque (%)\",\r\n      \"transformations\": [],\r\n      \"type\": \"gauge\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"grafana-athena-datasource\",\r\n        \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n      },\r\n      \"description\": \"This shows the GPS position with color coding based on Speed (in km/h).\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"color\": {\r\n            \"mode\": \"thresholds\"\r\n          },\r\n          \"custom\": {\r\n            \"hideFrom\": {\r\n              \"legend\": false,\r\n              \"tooltip\": false,\r\n              \"viz\": false\r\n            }\r\n          },\r\n          \"mappings\": [],\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"dark-green\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"green\",\r\n                \"value\": 20\r\n              },\r\n              {\r\n                \"color\": \"light-green\",\r\n                \"value\": 30\r\n              },\r\n              {\r\n                \"color\": \"super-light-green\",\r\n                \"value\": 40\r\n              },\r\n              {\r\n                \"color\": \"super-light-yellow\",\r\n                \"value\": 50\r\n              },\r\n              {\r\n                \"color\": \"yellow\",\r\n                \"value\": 60\r\n              },\r\n              {\r\n                \"color\": \"semi-dark-yellow\",\r\n                \"value\": 70\r\n              },\r\n              {\r\n                \"color\": \"super-light-orange\",\r\n                \"value\": 80\r\n              },\r\n              {\r\n                \"color\": \"light-orange\",\r\n                \"value\": 90\r\n              },\r\n              {\r\n                \"color\": \"orange\",\r\n                \"value\": 100\r\n              },\r\n              {\r\n                \"color\": \"semi-dark-orange\",\r\n                \"value\": 110\r\n              },\r\n              {\r\n                \"color\": \"dark-orange\",\r\n                \"value\": 120\r\n              },\r\n              {\r\n                \"color\": \"light-red\",\r\n                \"value\": 130\r\n              },\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": 140\r\n              },\r\n              {\r\n                \"color\": \"dark-red\",\r\n                \"value\": 150\r\n              }\r\n            ]\r\n          }\r\n        },\r\n        \"overrides\": []\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 8,\r\n        \"w\": 6,\r\n        \"x\": 18,\r\n        \"y\": 0\r\n      },\r\n      \"id\": 6,\r\n      \"options\": {\r\n        \"basemap\": {\r\n          \"config\": {},\r\n          \"name\": \"Layer 0\",\r\n          \"opacity\": 0.7,\r\n          \"tooltip\": true,\r\n          \"type\": \"osm-standard\"\r\n        },\r\n        \"controls\": {\r\n          \"mouseWheelZoom\": true,\r\n          \"showAttribution\": false,\r\n          \"showDebug\": false,\r\n          \"showMeasure\": false,\r\n          \"showScale\": false,\r\n          \"showZoom\": true\r\n        },\r\n        \"layers\": [\r\n          {\r\n            \"config\": {\r\n              \"arrow\": 0,\r\n              \"style\": {\r\n                \"color\": {\r\n                  \"field\": \"AVG_speedkmh\",\r\n                  \"fixed\": \"blue\"\r\n                },\r\n                \"lineWidth\": 2,\r\n                \"opacity\": 1,\r\n                \"rotation\": {\r\n                  \"fixed\": 0,\r\n                  \"max\": 360,\r\n                  \"min\": -360,\r\n                  \"mode\": \"mod\"\r\n                },\r\n                \"size\": {\r\n                  \"fixed\": 4,\r\n                  \"max\": 15,\r\n                  \"min\": 2\r\n                },\r\n                \"symbol\": {\r\n                  \"fixed\": \"img/icons/marker/circle.svg\",\r\n                  \"mode\": \"fixed\"\r\n                },\r\n                \"symbolAlign\": {\r\n                  \"horizontal\": \"center\",\r\n                  \"vertical\": \"center\"\r\n                },\r\n                \"text\": {\r\n                  \"field\": \"AVG_speed\",\r\n                  \"fixed\": \"\",\r\n                  \"mode\": \"fixed\"\r\n                },\r\n                \"textConfig\": {\r\n                  \"fontSize\": 12,\r\n                  \"offsetX\": 0,\r\n                  \"offsetY\": 0,\r\n                  \"textAlign\": \"center\",\r\n                  \"textBaseline\": \"middle\"\r\n                }\r\n              }\r\n            },\r\n            \"location\": {\r\n              \"latitude\": \"AVG_latitude\",\r\n              \"longitude\": \"AVG_longitude\",\r\n              \"mode\": \"coords\"\r\n            },\r\n            \"name\": \"Layer 2\",\r\n            \"opacity\": 1,\r\n            \"tooltip\": true,\r\n            \"type\": \"route\"\r\n          }\r\n        ],\r\n        \"tooltip\": {\r\n          \"mode\": \"details\"\r\n        },\r\n        \"view\": {\r\n          \"allLayers\": true,\r\n          \"id\": \"fit\",\r\n          \"lat\": 0,\r\n          \"lon\": 0,\r\n          \"padding\": 10,\r\n          \"shared\": true,\r\n          \"zoom\": 15\r\n        }\r\n      },\r\n      \"pluginVersion\": \"10.1.5\",\r\n      \"targets\": [\r\n        {\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": true,\r\n            \"resultReuseMaxAgeInMinutes\": 10000\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"Amazon Athena\"\r\n          },\r\n          \"format\": 0,\r\n          \"rawSQL\": \"SELECT\\r\\n    $__timeGroup(t, $__interval) as Time,\\r\\n    AVG(longitude) as AVG_longitude, AVG(latitude) as AVG_latitude, AVG(positionaccuracy) as AVG_positionaccuracy\\r\\nFROM\\r\\n    tbl_${device:csv}_can9_gnsspos\\r\\nWHERE\\r\\n\\tdate_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd') \\r\\n\\tAND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    $__timeGroup(t, $__interval)\\t\\r\\nORDER BY\\r\\n    Time ASC\",\r\n          \"refId\": \"A\"\r\n        },\r\n        {\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": true,\r\n            \"resultReuseMaxAgeInMinutes\": 10000\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"Amazon Athena\"\r\n          },\r\n          \"format\": 1,\r\n          \"hide\": false,\r\n          \"rawSQL\": \"SELECT\\r\\n    $__timeGroup(t, $__interval) as Time,\\r\\n    AVG(speed) as AVG_speed\\r\\nFROM\\r\\n    tbl_${device:csv}_can9_gnssspeed\\r\\nWHERE\\r\\n\\tdate_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd') \\r\\n\\tAND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    $__timeGroup(t, $__interval)\\r\\nORDER BY\\r\\n    Time ASC\\t\",\r\n          \"refId\": \"B\"\r\n        }\r\n      ],\r\n      \"title\": \"GPS Position\",\r\n      \"transformations\": [\r\n        {\r\n          \"id\": \"merge\",\r\n          \"options\": {}\r\n        },\r\n        {\r\n          \"id\": \"calculateField\",\r\n          \"options\": {\r\n            \"alias\": \"AVG_speedkmh\",\r\n            \"binary\": {\r\n              \"left\": \"AVG_speed\",\r\n              \"operator\": \"*\",\r\n              \"reducer\": \"sum\",\r\n              \"right\": \"3.6\"\r\n            },\r\n            \"mode\": \"binary\",\r\n            \"reduce\": {\r\n              \"reducer\": \"sum\"\r\n            }\r\n          }\r\n        },\r\n        {\r\n          \"id\": \"filterByValue\",\r\n          \"options\": {\r\n            \"filters\": [\r\n              {\r\n                \"config\": {\r\n                  \"id\": \"isNull\",\r\n                  \"options\": {}\r\n                },\r\n                \"fieldName\": \"AVG_longitude\"\r\n              },\r\n              {\r\n                \"config\": {\r\n                  \"id\": \"isNull\",\r\n                  \"options\": {}\r\n                },\r\n                \"fieldName\": \"AVG_latitude\"\r\n              },\r\n              {\r\n                \"config\": {\r\n                  \"id\": \"isNull\",\r\n                  \"options\": {}\r\n                },\r\n                \"fieldName\": \"AVG_speed\"\r\n              }\r\n            ],\r\n            \"match\": \"any\",\r\n            \"type\": \"exclude\"\r\n          }\r\n        }\r\n      ],\r\n      \"type\": \"geomap\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"datasource\",\r\n        \"uid\": \"-- Dashboard --\"\r\n      },\r\n      \"description\": \"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"color\": {\r\n            \"fixedColor\": \"#3d85c6\",\r\n            \"mode\": \"fixed\"\r\n          },\r\n          \"custom\": {\r\n            \"axisCenteredZero\": false,\r\n            \"axisColorMode\": \"text\",\r\n            \"axisLabel\": \"\",\r\n            \"axisPlacement\": \"auto\",\r\n            \"barAlignment\": 0,\r\n            \"drawStyle\": \"line\",\r\n            \"fillOpacity\": 21,\r\n            \"gradientMode\": \"opacity\",\r\n            \"hideFrom\": {\r\n              \"legend\": false,\r\n              \"tooltip\": false,\r\n              \"viz\": false\r\n            },\r\n            \"insertNulls\": 600000,\r\n            \"lineInterpolation\": \"linear\",\r\n            \"lineStyle\": {\r\n              \"fill\": \"solid\"\r\n            },\r\n            \"lineWidth\": 1,\r\n            \"pointSize\": 2,\r\n            \"scaleDistribution\": {\r\n              \"type\": \"linear\"\r\n            },\r\n            \"showPoints\": \"always\",\r\n            \"spanNulls\": false,\r\n            \"stacking\": {\r\n              \"group\": \"A\",\r\n              \"mode\": \"none\"\r\n            },\r\n            \"thresholdsStyle\": {\r\n              \"mode\": \"off\"\r\n            }\r\n          },\r\n          \"mappings\": [],\r\n          \"min\": 0,\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"green\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": 80\r\n              }\r\n            ]\r\n          }\r\n        },\r\n        \"overrides\": [\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"_col1\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"mappings\",\r\n                \"value\": []\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"AVG_speed\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"color\",\r\n                \"value\": {\r\n                  \"fixedColor\": \"#3d85c6\",\r\n                  \"mode\": \"fixed\"\r\n                }\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"AVG_speedaccuracykmh\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"custom.axisPlacement\",\r\n                \"value\": \"right\"\r\n              },\r\n              {\r\n                \"id\": \"color\",\r\n                \"value\": {\r\n                  \"fixedColor\": \"#cacaca\",\r\n                  \"mode\": \"fixed\"\r\n                }\r\n              }\r\n            ]\r\n          }\r\n        ]\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 5,\r\n        \"w\": 10,\r\n        \"x\": 0,\r\n        \"y\": 4\r\n      },\r\n      \"id\": 18,\r\n      \"options\": {\r\n        \"legend\": {\r\n          \"calcs\": [],\r\n          \"displayMode\": \"list\",\r\n          \"placement\": \"bottom\",\r\n          \"showLegend\": false\r\n        },\r\n        \"tooltip\": {\r\n          \"mode\": \"multi\",\r\n          \"sort\": \"none\"\r\n        }\r\n      },\r\n      \"targets\": [\r\n        {\r\n          \"datasource\": {\r\n            \"type\": \"datasource\",\r\n            \"uid\": \"-- Dashboard --\"\r\n          },\r\n          \"panelId\": 6,\r\n          \"refId\": \"A\",\r\n          \"withTransforms\": true\r\n        }\r\n      ],\r\n      \"title\": \"Speed (km/h)\",\r\n      \"transformations\": [\r\n        {\r\n          \"id\": \"filterFieldsByName\",\r\n          \"options\": {\r\n            \"byVariable\": false,\r\n            \"include\": {\r\n              \"names\": [\r\n                \"time\",\r\n                \"AVG_speedkmh\"\r\n              ]\r\n            }\r\n          }\r\n        }\r\n      ],\r\n      \"type\": \"timeseries\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"grafana-athena-datasource\",\r\n        \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n      },\r\n      \"description\": \"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"color\": {\r\n            \"mode\": \"thresholds\"\r\n          },\r\n          \"mappings\": [],\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"green\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": 1\r\n              }\r\n            ]\r\n          }\r\n        },\r\n        \"overrides\": []\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 4,\r\n        \"w\": 2,\r\n        \"x\": 10,\r\n        \"y\": 4\r\n      },\r\n      \"id\": 24,\r\n      \"options\": {\r\n        \"colorMode\": \"value\",\r\n        \"graphMode\": \"none\",\r\n        \"justifyMode\": \"auto\",\r\n        \"orientation\": \"auto\",\r\n        \"reduceOptions\": {\r\n          \"calcs\": [\r\n            \"lastNotNull\"\r\n          ],\r\n          \"fields\": \"\",\r\n          \"values\": false\r\n        },\r\n        \"textMode\": \"auto\"\r\n      },\r\n      \"pluginVersion\": \"10.1.5\",\r\n      \"targets\": [\r\n        {\r\n          \"column\": \"s01pid2f_fueltanklevel\",\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": true,\r\n            \"resultReuseMaxAgeInMinutes\": 10000\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"Amazon Athena\"\r\n          },\r\n          \"format\": 0,\r\n          \"rawSQL\": \"SELECT\\r\\n    $__timeGroup(t, $__interval) as time,\\r\\n    max(S03_DTC_Count) as max_S03DTC_Count\\r\\nFROM\\r\\n    tbl_${device:csv}_CAN1_OBD2_DTC_HEADER_S_M43\\r\\nWHERE\\r\\n\\tdate_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd') \\r\\n\\tAND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    $__timeGroup(t, $__interval)\\t\",\r\n          \"refId\": \"A\",\r\n          \"table\": \"tbl_3ba199e2_can1_obd2_service_01_s01pid_2f\"\r\n        }\r\n      ],\r\n      \"title\": \"DTCs (#)\",\r\n      \"transformations\": [],\r\n      \"type\": \"stat\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"grafana-athena-datasource\",\r\n        \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n      },\r\n      \"description\": \"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"decimals\": 1,\r\n          \"mappings\": [],\r\n          \"max\": 140,\r\n          \"min\": 0,\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"dark-blue\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"semi-dark-blue\",\r\n                \"value\": 10\r\n              },\r\n              {\r\n                \"color\": \"light-blue\",\r\n                \"value\": 20\r\n              },\r\n              {\r\n                \"color\": \"super-light-blue\",\r\n                \"value\": 40\r\n              },\r\n              {\r\n                \"color\": \"super-light-green\",\r\n                \"value\": 50\r\n              },\r\n              {\r\n                \"color\": \"dark-green\",\r\n                \"value\": 80\r\n              },\r\n              {\r\n                \"color\": \"#EAB839\",\r\n                \"value\": 100\r\n              },\r\n              {\r\n                \"color\": \"dark-orange\",\r\n                \"value\": 120\r\n              },\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": 140\r\n              }\r\n            ]\r\n          },\r\n          \"unit\": \"none\"\r\n        },\r\n        \"overrides\": [\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"OutdoorTemperature\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"displayName\",\r\n                \"value\": \"Outdoor\"\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"IndoorTemperature\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"displayName\",\r\n                \"value\": \"Indoor\"\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"BatteryMaxTemperature\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"displayName\",\r\n                \"value\": \"Battery\"\r\n              }\r\n            ]\r\n          }\r\n        ]\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 4,\r\n        \"w\": 2,\r\n        \"x\": 12,\r\n        \"y\": 4\r\n      },\r\n      \"id\": 26,\r\n      \"interval\": \"\",\r\n      \"options\": {\r\n        \"orientation\": \"auto\",\r\n        \"reduceOptions\": {\r\n          \"calcs\": [\r\n            \"mean\"\r\n          ],\r\n          \"fields\": \"\",\r\n          \"values\": false\r\n        },\r\n        \"showThresholdLabels\": false,\r\n        \"showThresholdMarkers\": true\r\n      },\r\n      \"pluginVersion\": \"10.1.5\",\r\n      \"targets\": [\r\n        {\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": false,\r\n            \"resultReuseMaxAgeInMinutes\": 60\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n          },\r\n          \"format\": 1,\r\n          \"rawSQL\": \"SELECT\\r\\n    $__timeGroup(t, $__interval) as time,\\r\\n    avg(S01PID05_EngineCoolantTemp) as S01PID05_EngineCoolantTemp\\r\\nFROM\\r\\n    tbl_${device:csv}_CAN1_OBD2_S_M41_S01PID_M05\\r\\nWHERE\\r\\n    date_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd')\\r\\n    AND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    $__timeGroup(t, $__interval)\\r\\n\",\r\n          \"refId\": \"A\"\r\n        }\r\n      ],\r\n      \"title\": \"Coolant °C\",\r\n      \"transformations\": [],\r\n      \"type\": \"gauge\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"grafana-athena-datasource\",\r\n        \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n      },\r\n      \"description\": \"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"decimals\": 1,\r\n          \"mappings\": [],\r\n          \"max\": 140,\r\n          \"min\": 0,\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"dark-blue\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"semi-dark-blue\",\r\n                \"value\": 10\r\n              },\r\n              {\r\n                \"color\": \"super-light-green\",\r\n                \"value\": 15\r\n              },\r\n              {\r\n                \"color\": \"green\",\r\n                \"value\": 20\r\n              },\r\n              {\r\n                \"color\": \"super-light-green\",\r\n                \"value\": 50\r\n              },\r\n              {\r\n                \"color\": \"yellow\",\r\n                \"value\": 60\r\n              },\r\n              {\r\n                \"color\": \"light-orange\",\r\n                \"value\": 70\r\n              },\r\n              {\r\n                \"color\": \"dark-orange\",\r\n                \"value\": 80\r\n              },\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": 90\r\n              }\r\n            ]\r\n          },\r\n          \"unit\": \"none\"\r\n        },\r\n        \"overrides\": [\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"OutdoorTemperature\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"displayName\",\r\n                \"value\": \"Outdoor\"\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"IndoorTemperature\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"displayName\",\r\n                \"value\": \"Indoor\"\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"BatteryMaxTemperature\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"displayName\",\r\n                \"value\": \"Battery\"\r\n              }\r\n            ]\r\n          }\r\n        ]\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 4,\r\n        \"w\": 2,\r\n        \"x\": 14,\r\n        \"y\": 4\r\n      },\r\n      \"id\": 27,\r\n      \"interval\": \"\",\r\n      \"options\": {\r\n        \"orientation\": \"auto\",\r\n        \"reduceOptions\": {\r\n          \"calcs\": [\r\n            \"mean\"\r\n          ],\r\n          \"fields\": \"\",\r\n          \"values\": false\r\n        },\r\n        \"showThresholdLabels\": false,\r\n        \"showThresholdMarkers\": true\r\n      },\r\n      \"pluginVersion\": \"10.1.5\",\r\n      \"targets\": [\r\n        {\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": false,\r\n            \"resultReuseMaxAgeInMinutes\": 60\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n          },\r\n          \"format\": 1,\r\n          \"rawSQL\": \"SELECT\\r\\n    $__timeGroup(t, $__interval) as time,\\r\\n    avg(S01PID0F_IntakeAirTemperature) as S01PID0F_IntakeAirTemperature\\r\\nFROM\\r\\n    tbl_${device:csv}_CAN1_OBD2_S_M41_S01PID_M0F\\r\\nWHERE\\r\\n    date_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd')\\r\\n    AND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    $__timeGroup(t, $__interval)\\r\\n\",\r\n          \"refId\": \"A\"\r\n        }\r\n      ],\r\n      \"title\": \"Intake °C\",\r\n      \"transformations\": [],\r\n      \"type\": \"gauge\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"grafana-athena-datasource\",\r\n        \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n      },\r\n      \"description\": \"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"decimals\": 1,\r\n          \"mappings\": [],\r\n          \"max\": 140,\r\n          \"min\": 0,\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"dark-blue\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"semi-dark-blue\",\r\n                \"value\": 10\r\n              },\r\n              {\r\n                \"color\": \"light-green\",\r\n                \"value\": 20\r\n              },\r\n              {\r\n                \"color\": \"green\",\r\n                \"value\": 25\r\n              },\r\n              {\r\n                \"color\": \"light-yellow\",\r\n                \"value\": 30\r\n              },\r\n              {\r\n                \"color\": \"light-orange\",\r\n                \"value\": 35\r\n              },\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": 40\r\n              }\r\n            ]\r\n          },\r\n          \"unit\": \"none\"\r\n        },\r\n        \"overrides\": [\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"OutdoorTemperature\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"displayName\",\r\n                \"value\": \"Outdoor\"\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"IndoorTemperature\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"displayName\",\r\n                \"value\": \"Indoor\"\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"BatteryMaxTemperature\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"displayName\",\r\n                \"value\": \"Battery\"\r\n              }\r\n            ]\r\n          }\r\n        ]\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 4,\r\n        \"w\": 2,\r\n        \"x\": 16,\r\n        \"y\": 4\r\n      },\r\n      \"id\": 28,\r\n      \"interval\": \"\",\r\n      \"options\": {\r\n        \"orientation\": \"auto\",\r\n        \"reduceOptions\": {\r\n          \"calcs\": [\r\n            \"mean\"\r\n          ],\r\n          \"fields\": \"\",\r\n          \"values\": false\r\n        },\r\n        \"showThresholdLabels\": false,\r\n        \"showThresholdMarkers\": true\r\n      },\r\n      \"pluginVersion\": \"10.1.5\",\r\n      \"targets\": [\r\n        {\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": false,\r\n            \"resultReuseMaxAgeInMinutes\": 60\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n          },\r\n          \"format\": 1,\r\n          \"rawSQL\": \"SELECT\\r\\n    $__timeGroup(t, $__interval) as time,\\r\\n    avg(S01PID46_AmbientAirTemp) as S01PID46_AmbientAirTemp\\r\\nFROM\\r\\n    tbl_${device:csv}_CAN1_OBD2_S_M41_S01PID_M46\\r\\nWHERE\\r\\n    date_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd')\\r\\n    AND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    $__timeGroup(t, $__interval)\\r\\n\",\r\n          \"refId\": \"A\"\r\n        }\r\n      ],\r\n      \"title\": \"Ambi. °C\",\r\n      \"transformations\": [],\r\n      \"type\": \"gauge\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"grafana-athena-datasource\",\r\n        \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n      },\r\n      \"description\": \"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"color\": {\r\n            \"mode\": \"thresholds\"\r\n          },\r\n          \"custom\": {\r\n            \"align\": \"auto\",\r\n            \"cellOptions\": {\r\n              \"type\": \"auto\"\r\n            },\r\n            \"inspect\": false\r\n          },\r\n          \"decimals\": 0,\r\n          \"mappings\": [],\r\n          \"min\": 0,\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"green\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"super-light-orange\",\r\n                \"value\": 1\r\n              },\r\n              {\r\n                \"color\": \"semi-dark-orange\",\r\n                \"value\": 2\r\n              },\r\n              {\r\n                \"color\": \"super-light-red\",\r\n                \"value\": 5\r\n              },\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": 10\r\n              },\r\n              {\r\n                \"color\": \"dark-red\",\r\n                \"value\": 20\r\n              }\r\n            ]\r\n          }\r\n        },\r\n        \"overrides\": [\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"DTC\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"mappings\",\r\n                \"value\": [\r\n                  {\r\n                    \"options\": {\r\n                      \"323\": {\r\n                        \"index\": 0,\r\n                        \"text\": \"P0143\"\r\n                      },\r\n                      \"406\": {\r\n                        \"index\": 1,\r\n                        \"text\": \"P0196\"\r\n                      },\r\n                      \"408\": {\r\n                        \"index\": 6,\r\n                        \"text\": \"P0198\"\r\n                      },\r\n                      \"564\": {\r\n                        \"index\": 2,\r\n                        \"text\": \"P0234\"\r\n                      },\r\n                      \"717\": {\r\n                        \"index\": 3,\r\n                        \"text\": \"P02CD\"\r\n                      },\r\n                      \"855\": {\r\n                        \"index\": 4,\r\n                        \"text\": \"P0357\"\r\n                      },\r\n                      \"2596\": {\r\n                        \"index\": 5,\r\n                        \"text\": \"P0A24\"\r\n                      }\r\n                    },\r\n                    \"type\": \"value\"\r\n                  }\r\n                ]\r\n              },\r\n              {\r\n                \"id\": \"custom.width\",\r\n                \"value\": 80\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"DTC (Name)\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"mappings\",\r\n                \"value\": [\r\n                  {\r\n                    \"options\": {\r\n                      \"323\": {\r\n                        \"color\": \"yellow\",\r\n                        \"index\": 0,\r\n                        \"text\": \"O2 Sensor Circuit Low Voltage\"\r\n                      },\r\n                      \"406\": {\r\n                        \"color\": \"red\",\r\n                        \"index\": 1,\r\n                        \"text\": \"Engine Oil Temperature Sensor Range/Performance\"\r\n                      },\r\n                      \"408\": {\r\n                        \"color\": \"red\",\r\n                        \"index\": 6,\r\n                        \"text\": \"Engine Oil Temperature Sensor High\"\r\n                      },\r\n                      \"564\": {\r\n                        \"color\": \"orange\",\r\n                        \"index\": 2,\r\n                        \"text\": \"Turbo/Super Charger Overboost Condition\"\r\n                      },\r\n                      \"717\": {\r\n                        \"color\": \"yellow\",\r\n                        \"index\": 3,\r\n                        \"text\": \"Cylinder 1 Fuel Injector Offset Learning At Max Limit\"\r\n                      },\r\n                      \"855\": {\r\n                        \"color\": \"orange\",\r\n                        \"index\": 4,\r\n                        \"text\": \"Ignition Coil 'G' Primary/Secondary Circuit\"\r\n                      },\r\n                      \"2596\": {\r\n                        \"color\": \"orange\",\r\n                        \"index\": 5,\r\n                        \"text\": \"Generator Torque Sensor Circuit Low\"\r\n                      }\r\n                    },\r\n                    \"type\": \"value\"\r\n                  }\r\n                ]\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"DTC (Name)\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"color\",\r\n                \"value\": {\r\n                  \"fixedColor\": \"orange\",\r\n                  \"mode\": \"fixed\"\r\n                }\r\n              },\r\n              {\r\n                \"id\": \"custom.cellOptions\",\r\n                \"value\": {\r\n                  \"type\": \"color-background\"\r\n                }\r\n              }\r\n            ]\r\n          }\r\n        ]\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 8,\r\n        \"w\": 4,\r\n        \"x\": 10,\r\n        \"y\": 8\r\n      },\r\n      \"id\": 34,\r\n      \"options\": {\r\n        \"cellHeight\": \"sm\",\r\n        \"footer\": {\r\n          \"countRows\": false,\r\n          \"fields\": \"\",\r\n          \"reducer\": [\r\n            \"sum\"\r\n          ],\r\n          \"show\": false\r\n        },\r\n        \"showHeader\": true,\r\n        \"sortBy\": [\r\n          {\r\n            \"desc\": false,\r\n            \"displayName\": \"SPN\"\r\n          }\r\n        ]\r\n      },\r\n      \"pluginVersion\": \"10.1.5\",\r\n      \"targets\": [\r\n        {\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": true,\r\n            \"resultReuseMaxAgeInMinutes\": 10000\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"Amazon Athena\"\r\n          },\r\n          \"format\": 0,\r\n          \"rawSQL\": \"SELECT\\r\\n    -- min(t) as first,\\r\\n    -- max(t) as last,\\r\\n    -- max(S03_DTC) as \\\"DTC (Dec)\\\",\\r\\n    max(S03_DTC) as \\\"DTC\\\",\\r\\n    max(S03_DTC) as \\\"DTC (Name)\\\"\\r\\nFROM\\r\\n    tbl_${device:csv}_CAN1_CALC_OBD2_DTC\\r\\nWHERE\\r\\n\\tdate_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd') \\r\\n\\tAND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    S03_DTC\\r\\norder by S03_DTC asc\",\r\n          \"refId\": \"A\",\r\n          \"table\": \"tbl_958d2219_can1_dlcd2\"\r\n        }\r\n      ],\r\n      \"title\": \"DTCs\",\r\n      \"transformations\": [\r\n        {\r\n          \"id\": \"organize\",\r\n          \"options\": {\r\n            \"excludeByName\": {},\r\n            \"indexByName\": {\r\n              \"FMI\": 3,\r\n              \"FMI_name\": 4,\r\n              \"SA\": 0,\r\n              \"SPN\": 1,\r\n              \"SPN_name\": 2,\r\n              \"first\": 6,\r\n              \"last\": 7,\r\n              \"max_OCC\": 5\r\n            },\r\n            \"renameByName\": {}\r\n          }\r\n        }\r\n      ],\r\n      \"type\": \"table\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"grafana-athena-datasource\",\r\n        \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n      },\r\n      \"description\": \"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"color\": {\r\n            \"fixedColor\": \"purple\",\r\n            \"mode\": \"fixed\"\r\n          },\r\n          \"custom\": {\r\n            \"fillOpacity\": 80,\r\n            \"gradientMode\": \"none\",\r\n            \"hideFrom\": {\r\n              \"legend\": false,\r\n              \"tooltip\": false,\r\n              \"viz\": false\r\n            },\r\n            \"lineWidth\": 1\r\n          },\r\n          \"mappings\": [],\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"dark-green\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"green\",\r\n                \"value\": 20\r\n              },\r\n              {\r\n                \"color\": \"super-light-green\",\r\n                \"value\": 50\r\n              },\r\n              {\r\n                \"color\": \"super-light-yellow\",\r\n                \"value\": 70\r\n              },\r\n              {\r\n                \"color\": \"yellow\",\r\n                \"value\": 90\r\n              },\r\n              {\r\n                \"color\": \"dark-yellow\",\r\n                \"value\": 110\r\n              },\r\n              {\r\n                \"color\": \"orange\",\r\n                \"value\": 130\r\n              },\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": 140\r\n              },\r\n              {\r\n                \"color\": \"dark-red\",\r\n                \"value\": 150\r\n              }\r\n            ]\r\n          },\r\n          \"unit\": \"none\"\r\n        },\r\n        \"overrides\": []\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 4,\r\n        \"w\": 4,\r\n        \"x\": 14,\r\n        \"y\": 8\r\n      },\r\n      \"id\": 12,\r\n      \"options\": {\r\n        \"bucketOffset\": 0,\r\n        \"bucketSize\": 1,\r\n        \"legend\": {\r\n          \"calcs\": [],\r\n          \"displayMode\": \"list\",\r\n          \"placement\": \"bottom\",\r\n          \"showLegend\": false\r\n        }\r\n      },\r\n      \"targets\": [\r\n        {\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": true,\r\n            \"resultReuseMaxAgeInMinutes\": 10000\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"Amazon Athena\"\r\n          },\r\n          \"format\": 0,\r\n          \"rawSQL\": \"SELECT\\r\\n    $__timeGroup(t, $__interval) as time,\\r\\n    AVG(S01PID53_AbsEvapSysVapPres) as AVG_S01PID53_AbsEvapSysVapPres\\r\\nFROM\\r\\n    tbl_${device:csv}_CAN1_OBD2_S_M41_S01PID_M53\\r\\nWHERE\\r\\n\\tdate_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd') \\r\\n\\tAND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    $__timeGroup(t, $__interval)\\t\\r\\nORDER BY \\r\\n    time asc\",\r\n          \"refId\": \"A\"\r\n        }\r\n      ],\r\n      \"title\": \"Evap Vapor Pres (kPa)\",\r\n      \"transformations\": [],\r\n      \"type\": \"histogram\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"grafana-athena-datasource\",\r\n        \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n      },\r\n      \"description\": \"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"color\": {\r\n            \"fixedColor\": \"#3d85c6\",\r\n            \"mode\": \"fixed\"\r\n          },\r\n          \"decimals\": 0,\r\n          \"mappings\": [],\r\n          \"min\": 0,\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"dark-green\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"green\",\r\n                \"value\": 20\r\n              },\r\n              {\r\n                \"color\": \"super-light-green\",\r\n                \"value\": 50\r\n              },\r\n              {\r\n                \"color\": \"super-light-yellow\",\r\n                \"value\": 70\r\n              },\r\n              {\r\n                \"color\": \"yellow\",\r\n                \"value\": 90\r\n              },\r\n              {\r\n                \"color\": \"dark-yellow\",\r\n                \"value\": 110\r\n              },\r\n              {\r\n                \"color\": \"orange\",\r\n                \"value\": 130\r\n              },\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": 140\r\n              },\r\n              {\r\n                \"color\": \"dark-red\",\r\n                \"value\": 150\r\n              }\r\n            ]\r\n          },\r\n          \"unit\": \"lengthm\"\r\n        },\r\n        \"overrides\": []\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 3,\r\n        \"w\": 2,\r\n        \"x\": 18,\r\n        \"y\": 8\r\n      },\r\n      \"id\": 16,\r\n      \"options\": {\r\n        \"colorMode\": \"background\",\r\n        \"graphMode\": \"area\",\r\n        \"justifyMode\": \"auto\",\r\n        \"orientation\": \"auto\",\r\n        \"reduceOptions\": {\r\n          \"calcs\": [\r\n            \"mean\"\r\n          ],\r\n          \"fields\": \"\",\r\n          \"values\": false\r\n        },\r\n        \"textMode\": \"auto\"\r\n      },\r\n      \"pluginVersion\": \"10.1.5\",\r\n      \"targets\": [\r\n        {\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": true,\r\n            \"resultReuseMaxAgeInMinutes\": 10000\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"Amazon Athena\"\r\n          },\r\n          \"format\": 1,\r\n          \"rawSQL\": \"SELECT\\r\\n    $__timeGroup(t, $__interval) as time,\\r\\n    AVG(altitude) as AVG_altitude\\r\\nFROM\\r\\n    tbl_${device:csv}_can9_gnssaltitude\\r\\nWHERE\\r\\n\\tdate_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd') \\r\\n\\tAND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    $__timeGroup(t, $__interval)\\t\",\r\n          \"refId\": \"A\"\r\n        }\r\n      ],\r\n      \"title\": \"Altitude\",\r\n      \"transformations\": [],\r\n      \"type\": \"stat\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"datasource\",\r\n        \"uid\": \"-- Dashboard --\"\r\n      },\r\n      \"description\": \"This reflects the average GNSS Fix Type: 0 \\\"No fix\\\", 1 \\\"Dead reckoning only\\\", 2 \\\"2D-fix\\\", 3 \\\"3D-fix\\\", 4 \\\"GNSS + dead reckoning combined\\\", 5 \\\"Time only fix\\\"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"color\": {\r\n            \"fixedColor\": \"#3d85c6\",\r\n            \"mode\": \"thresholds\"\r\n          },\r\n          \"decimals\": 1,\r\n          \"mappings\": [],\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"orange\",\r\n                \"value\": 0.9\r\n              },\r\n              {\r\n                \"color\": \"yellow\",\r\n                \"value\": 1.9\r\n              },\r\n              {\r\n                \"color\": \"light-green\",\r\n                \"value\": 2.9\r\n              },\r\n              {\r\n                \"color\": \"dark-green\",\r\n                \"value\": 3.9\r\n              }\r\n            ]\r\n          },\r\n          \"unit\": \"none\"\r\n        },\r\n        \"overrides\": []\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 3,\r\n        \"w\": 2,\r\n        \"x\": 20,\r\n        \"y\": 8\r\n      },\r\n      \"id\": 15,\r\n      \"options\": {\r\n        \"colorMode\": \"background\",\r\n        \"graphMode\": \"none\",\r\n        \"justifyMode\": \"auto\",\r\n        \"orientation\": \"auto\",\r\n        \"reduceOptions\": {\r\n          \"calcs\": [\r\n            \"mean\"\r\n          ],\r\n          \"fields\": \"\",\r\n          \"values\": false\r\n        },\r\n        \"textMode\": \"auto\"\r\n      },\r\n      \"pluginVersion\": \"10.1.5\",\r\n      \"targets\": [\r\n        {\r\n          \"datasource\": {\r\n            \"type\": \"datasource\",\r\n            \"uid\": \"-- Dashboard --\"\r\n          },\r\n          \"panelId\": 14,\r\n          \"refId\": \"A\"\r\n        }\r\n      ],\r\n      \"title\": \"Fix\",\r\n      \"transformations\": [\r\n        {\r\n          \"id\": \"filterFieldsByName\",\r\n          \"options\": {\r\n            \"include\": {\r\n              \"names\": [\r\n                \"time\",\r\n                \"AVG_fixtype\"\r\n              ]\r\n            }\r\n          }\r\n        }\r\n      ],\r\n      \"type\": \"stat\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"grafana-athena-datasource\",\r\n        \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n      },\r\n      \"description\": \"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"color\": {\r\n            \"fixedColor\": \"#3d85c6\",\r\n            \"mode\": \"thresholds\"\r\n          },\r\n          \"decimals\": 0,\r\n          \"mappings\": [],\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"yellow\",\r\n                \"value\": 5\r\n              },\r\n              {\r\n                \"color\": \"light-green\",\r\n                \"value\": 8\r\n              },\r\n              {\r\n                \"color\": \"green\",\r\n                \"value\": 12\r\n              },\r\n              {\r\n                \"color\": \"dark-green\",\r\n                \"value\": 14\r\n              }\r\n            ]\r\n          },\r\n          \"unit\": \"none\"\r\n        },\r\n        \"overrides\": []\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 3,\r\n        \"w\": 2,\r\n        \"x\": 22,\r\n        \"y\": 8\r\n      },\r\n      \"id\": 14,\r\n      \"options\": {\r\n        \"colorMode\": \"background\",\r\n        \"graphMode\": \"none\",\r\n        \"justifyMode\": \"auto\",\r\n        \"orientation\": \"auto\",\r\n        \"reduceOptions\": {\r\n          \"calcs\": [\r\n            \"mean\"\r\n          ],\r\n          \"fields\": \"\",\r\n          \"values\": false\r\n        },\r\n        \"textMode\": \"auto\"\r\n      },\r\n      \"pluginVersion\": \"10.1.5\",\r\n      \"targets\": [\r\n        {\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": true,\r\n            \"resultReuseMaxAgeInMinutes\": 10000\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"Amazon Athena\"\r\n          },\r\n          \"format\": 1,\r\n          \"rawSQL\": \"SELECT\\r\\n    $__timeGroup(t, $__interval) as time,\\r\\n    AVG(satellites) as AVG_satellites, AVG(fixtype) as AVG_fixtype\\r\\nFROM\\r\\n    tbl_${device:csv}_can9_gnssstatus\\r\\nWHERE\\r\\n\\tdate_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd') \\r\\n\\tAND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    $__timeGroup(t, $__interval)\\t\",\r\n          \"refId\": \"A\"\r\n        }\r\n      ],\r\n      \"title\": \"Satellites\",\r\n      \"transformations\": [\r\n        {\r\n          \"id\": \"filterFieldsByName\",\r\n          \"options\": {\r\n            \"include\": {\r\n              \"names\": [\r\n                \"time\",\r\n                \"AVG_satellites\"\r\n              ]\r\n            }\r\n          }\r\n        }\r\n      ],\r\n      \"type\": \"stat\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"grafana-athena-datasource\",\r\n        \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n      },\r\n      \"description\": \"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"color\": {\r\n            \"mode\": \"palette-classic\"\r\n          },\r\n          \"custom\": {\r\n            \"axisCenteredZero\": false,\r\n            \"axisColorMode\": \"text\",\r\n            \"axisLabel\": \"\",\r\n            \"axisPlacement\": \"auto\",\r\n            \"barAlignment\": 0,\r\n            \"drawStyle\": \"line\",\r\n            \"fillOpacity\": 10,\r\n            \"gradientMode\": \"opacity\",\r\n            \"hideFrom\": {\r\n              \"legend\": false,\r\n              \"tooltip\": false,\r\n              \"viz\": false\r\n            },\r\n            \"insertNulls\": 600000,\r\n            \"lineInterpolation\": \"linear\",\r\n            \"lineStyle\": {\r\n              \"fill\": \"solid\"\r\n            },\r\n            \"lineWidth\": 1,\r\n            \"pointSize\": 2,\r\n            \"scaleDistribution\": {\r\n              \"type\": \"linear\"\r\n            },\r\n            \"showPoints\": \"always\",\r\n            \"spanNulls\": false,\r\n            \"stacking\": {\r\n              \"group\": \"A\",\r\n              \"mode\": \"none\"\r\n            },\r\n            \"thresholdsStyle\": {\r\n              \"mode\": \"off\"\r\n            }\r\n          },\r\n          \"mappings\": [],\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"green\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": 80\r\n              }\r\n            ]\r\n          }\r\n        },\r\n        \"overrides\": [\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"_col1\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"mappings\",\r\n                \"value\": []\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"AVG_s01pid34_oxysensor1_crnt\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"color\",\r\n                \"value\": {\r\n                  \"fixedColor\": \"red\",\r\n                  \"mode\": \"fixed\"\r\n                }\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"AVG_s01pid34_oxysensor1_faer\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"color\",\r\n                \"value\": {\r\n                  \"fixedColor\": \"#838383\",\r\n                  \"mode\": \"fixed\"\r\n                }\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"AVG_angularratez\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"custom.axisPlacement\",\r\n                \"value\": \"right\"\r\n              },\r\n              {\r\n                \"id\": \"color\",\r\n                \"value\": {\r\n                  \"fixedColor\": \"#595959\",\r\n                  \"mode\": \"fixed\"\r\n                }\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"AVG_accelerationx\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"color\",\r\n                \"value\": {\r\n                  \"fixedColor\": \"orange\",\r\n                  \"mode\": \"fixed\"\r\n                }\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"AVG_accelerationy\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"color\",\r\n                \"value\": {\r\n                  \"fixedColor\": \"blue\",\r\n                  \"mode\": \"fixed\"\r\n                }\r\n              }\r\n            ]\r\n          }\r\n        ]\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 7,\r\n        \"w\": 10,\r\n        \"x\": 0,\r\n        \"y\": 9\r\n      },\r\n      \"id\": 5,\r\n      \"options\": {\r\n        \"legend\": {\r\n          \"calcs\": [],\r\n          \"displayMode\": \"list\",\r\n          \"placement\": \"bottom\",\r\n          \"showLegend\": true\r\n        },\r\n        \"tooltip\": {\r\n          \"mode\": \"multi\",\r\n          \"sort\": \"none\"\r\n        }\r\n      },\r\n      \"targets\": [\r\n        {\r\n          \"column\": \"longitude\",\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": true,\r\n            \"resultReuseMaxAgeInMinutes\": 10000\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"Amazon Athena\"\r\n          },\r\n          \"format\": 0,\r\n          \"rawSQL\": \"SELECT\\r\\n    $__timeGroup(t, $__interval) as time,\\r\\n    ${signal_value:csv}\\r\\nFROM\\r\\n    tbl_${device:csv}_${message:csv}\\r\\nWHERE\\r\\n\\tdate_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd') \\r\\n\\tAND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    $__timeGroup(t, $__interval)\\t\\r\\norder by \\r\\n    time asc\",\r\n          \"refId\": \"A\"\r\n        }\r\n      ],\r\n      \"title\": \"Message: ${message:csv} | Signal: ${signal}\",\r\n      \"transformations\": [\r\n        {\r\n          \"id\": \"filterFieldsByName\",\r\n          \"options\": {\r\n            \"include\": {\r\n              \"pattern\": \"/^(${aggregation:pipe})_.*|^time$/\"\r\n            }\r\n          }\r\n        }\r\n      ],\r\n      \"type\": \"timeseries\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"grafana-athena-datasource\",\r\n        \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n      },\r\n      \"description\": \"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"color\": {\r\n            \"fixedColor\": \"orange\",\r\n            \"mode\": \"fixed\"\r\n          },\r\n          \"custom\": {\r\n            \"axisCenteredZero\": false,\r\n            \"axisColorMode\": \"text\",\r\n            \"axisLabel\": \"\",\r\n            \"axisPlacement\": \"auto\",\r\n            \"hideFrom\": {\r\n              \"legend\": false,\r\n              \"tooltip\": false,\r\n              \"viz\": false\r\n            },\r\n            \"pointSize\": {\r\n              \"fixed\": 5\r\n            },\r\n            \"scaleDistribution\": {\r\n              \"type\": \"linear\"\r\n            },\r\n            \"show\": \"points\"\r\n          },\r\n          \"decimals\": 2,\r\n          \"mappings\": [],\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"dark-green\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"green\",\r\n                \"value\": 20\r\n              },\r\n              {\r\n                \"color\": \"super-light-green\",\r\n                \"value\": 50\r\n              },\r\n              {\r\n                \"color\": \"super-light-yellow\",\r\n                \"value\": 70\r\n              },\r\n              {\r\n                \"color\": \"yellow\",\r\n                \"value\": 90\r\n              },\r\n              {\r\n                \"color\": \"dark-yellow\",\r\n                \"value\": 110\r\n              },\r\n              {\r\n                \"color\": \"orange\",\r\n                \"value\": 130\r\n              },\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": 140\r\n              },\r\n              {\r\n                \"color\": \"dark-red\",\r\n                \"value\": 150\r\n              }\r\n            ]\r\n          },\r\n          \"unit\": \"none\"\r\n        },\r\n        \"overrides\": [\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"EngineLoad A\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"decimals\",\r\n                \"value\": 0\r\n              },\r\n              {\r\n                \"id\": \"displayName\",\r\n                \"value\": \"Engine Load\"\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"EngineSpeed B\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"decimals\",\r\n                \"value\": 0\r\n              },\r\n              {\r\n                \"id\": \"displayName\",\r\n                \"value\": \"Engine Speed\"\r\n              }\r\n            ]\r\n          }\r\n        ]\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 5,\r\n        \"w\": 6,\r\n        \"x\": 18,\r\n        \"y\": 11\r\n      },\r\n      \"id\": 33,\r\n      \"interval\": \"10s\",\r\n      \"options\": {\r\n        \"legend\": {\r\n          \"calcs\": [],\r\n          \"displayMode\": \"list\",\r\n          \"placement\": \"bottom\",\r\n          \"showLegend\": false\r\n        },\r\n        \"series\": [\r\n          {\r\n            \"pointColor\": {},\r\n            \"x\": \"EngineSpeed\",\r\n            \"y\": \"EngineLoad\"\r\n          }\r\n        ],\r\n        \"seriesMapping\": \"auto\",\r\n        \"tooltip\": {\r\n          \"mode\": \"single\",\r\n          \"sort\": \"none\"\r\n        }\r\n      },\r\n      \"targets\": [\r\n        {\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": true,\r\n            \"resultReuseMaxAgeInMinutes\": 10000\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"Amazon Athena\"\r\n          },\r\n          \"format\": 0,\r\n          \"rawSQL\": \"SELECT\\r\\n    $__timeGroup(t, $__interval) as time,\\r\\n    avg(S01PID04_CalcEngineLoad) as EngineLoad\\r\\nFROM\\r\\n    tbl_${device:csv}_CAN1_OBD2_S_M41_S01PID_M04\\r\\nWHERE\\r\\n    date_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd')\\r\\n    AND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    $__timeGroup(t, $__interval)\\r\\n\",\r\n          \"refId\": \"A\"\r\n        },\r\n        {\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": false,\r\n            \"resultReuseMaxAgeInMinutes\": 60\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n          },\r\n          \"format\": 1,\r\n          \"hide\": false,\r\n          \"rawSQL\": \"SELECT\\r\\n    $__timeGroup(t, $__interval) as time,\\r\\n    avg(S01PID0C_EngineRPM) as EngineSpeed\\r\\nFROM\\r\\n    tbl_${device:csv}_CAN1_OBD2_S_M41_S01PID_M0C\\r\\nWHERE\\r\\n    date_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd')\\r\\n    AND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    $__timeGroup(t, $__interval)\\r\\n\",\r\n          \"refId\": \"B\"\r\n        }\r\n      ],\r\n      \"title\": \"Engine Load vs. Speed\",\r\n      \"transformations\": [\r\n        {\r\n          \"id\": \"joinByField\",\r\n          \"options\": {}\r\n        }\r\n      ],\r\n      \"type\": \"xychart\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"grafana-athena-datasource\",\r\n        \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n      },\r\n      \"description\": \"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"color\": {\r\n            \"fixedColor\": \"#3d85c6\",\r\n            \"mode\": \"fixed\"\r\n          },\r\n          \"custom\": {\r\n            \"axisCenteredZero\": false,\r\n            \"axisColorMode\": \"text\",\r\n            \"axisLabel\": \"\",\r\n            \"axisPlacement\": \"auto\",\r\n            \"barAlignment\": 0,\r\n            \"drawStyle\": \"line\",\r\n            \"fillOpacity\": 10,\r\n            \"gradientMode\": \"opacity\",\r\n            \"hideFrom\": {\r\n              \"legend\": false,\r\n              \"tooltip\": false,\r\n              \"viz\": false\r\n            },\r\n            \"insertNulls\": 600000,\r\n            \"lineInterpolation\": \"linear\",\r\n            \"lineWidth\": 1,\r\n            \"pointSize\": 5,\r\n            \"scaleDistribution\": {\r\n              \"type\": \"linear\"\r\n            },\r\n            \"showPoints\": \"auto\",\r\n            \"spanNulls\": false,\r\n            \"stacking\": {\r\n              \"group\": \"A\",\r\n              \"mode\": \"none\"\r\n            },\r\n            \"thresholdsStyle\": {\r\n              \"mode\": \"off\"\r\n            }\r\n          },\r\n          \"decimals\": 2,\r\n          \"mappings\": [],\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"dark-green\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"green\",\r\n                \"value\": 20\r\n              },\r\n              {\r\n                \"color\": \"super-light-green\",\r\n                \"value\": 50\r\n              },\r\n              {\r\n                \"color\": \"super-light-yellow\",\r\n                \"value\": 70\r\n              },\r\n              {\r\n                \"color\": \"yellow\",\r\n                \"value\": 90\r\n              },\r\n              {\r\n                \"color\": \"dark-yellow\",\r\n                \"value\": 110\r\n              },\r\n              {\r\n                \"color\": \"orange\",\r\n                \"value\": 130\r\n              },\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": 140\r\n              },\r\n              {\r\n                \"color\": \"dark-red\",\r\n                \"value\": 150\r\n              }\r\n            ]\r\n          },\r\n          \"unit\": \"none\"\r\n        },\r\n        \"overrides\": [\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"_col1\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"mappings\",\r\n                \"value\": []\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"AVG_accelerationx\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"displayName\",\r\n                \"value\": \"x\"\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"AVG_accelerationy\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"displayName\",\r\n                \"value\": \"y\"\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"AVG_accelerationz\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"displayName\",\r\n                \"value\": \"z\"\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"x\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"color\",\r\n                \"value\": {\r\n                  \"fixedColor\": \"purple\",\r\n                  \"mode\": \"fixed\"\r\n                }\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"y\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"color\",\r\n                \"value\": {\r\n                  \"fixedColor\": \"semi-dark-blue\",\r\n                  \"mode\": \"fixed\"\r\n                }\r\n              }\r\n            ]\r\n          },\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"z\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"color\",\r\n                \"value\": {\r\n                  \"fixedColor\": \"#646464\",\r\n                  \"mode\": \"fixed\"\r\n                }\r\n              },\r\n              {\r\n                \"id\": \"custom.axisPlacement\",\r\n                \"value\": \"right\"\r\n              }\r\n            ]\r\n          }\r\n        ]\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 4,\r\n        \"w\": 4,\r\n        \"x\": 14,\r\n        \"y\": 12\r\n      },\r\n      \"id\": 32,\r\n      \"options\": {\r\n        \"legend\": {\r\n          \"calcs\": [],\r\n          \"displayMode\": \"list\",\r\n          \"placement\": \"bottom\",\r\n          \"showLegend\": true\r\n        },\r\n        \"tooltip\": {\r\n          \"mode\": \"single\",\r\n          \"sort\": \"none\"\r\n        }\r\n      },\r\n      \"targets\": [\r\n        {\r\n          \"connectionArgs\": {\r\n            \"catalog\": \"__default\",\r\n            \"database\": \"__default\",\r\n            \"region\": \"__default\",\r\n            \"resultReuseEnabled\": true,\r\n            \"resultReuseMaxAgeInMinutes\": 10000\r\n          },\r\n          \"datasource\": {\r\n            \"type\": \"grafana-athena-datasource\",\r\n            \"uid\": \"Amazon Athena\"\r\n          },\r\n          \"format\": 0,\r\n          \"rawSQL\": \"SELECT\\r\\n    $__timeGroup(t, $__interval) as time,\\r\\n    AVG(accelerationx) as AVG_accelerationx, AVG(accelerationy) as AVG_accelerationy, AVG(accelerationz) as AVG_accelerationz\\r\\nFROM\\r\\n    tbl_${device:csv}_CAN9_ImuData\\r\\nWHERE\\r\\n\\tdate_created BETWEEN $__rawTimeFrom('yyyy/MM/dd') AND $__rawTimeTo('yyyy/MM/dd') \\r\\n\\tAND\\r\\n    $__timeFilter(t)\\r\\nGROUP BY\\r\\n    $__timeGroup(t, $__interval)\\t\\r\\nORDER BY \\r\\n    time asc\",\r\n          \"refId\": \"A\"\r\n        }\r\n      ],\r\n      \"title\": \"Acceleration (m/s^2)\",\r\n      \"transformations\": [],\r\n      \"type\": \"timeseries\"\r\n    },\r\n    {\r\n      \"datasource\": {\r\n        \"type\": \"grafana-athena-datasource\",\r\n        \"uid\": \"b2971a20-4d5b-46da-81bb-6b5f099016d7\"\r\n      },\r\n      \"description\": \"\",\r\n      \"fieldConfig\": {\r\n        \"defaults\": {\r\n          \"color\": {\r\n            \"fixedColor\": \"#3d85c6\",\r\n            \"mode\": \"fixed\"\r\n          },\r\n          \"custom\": {\r\n            \"align\": \"auto\",\r\n            \"cellOptions\": {\r\n              \"type\": \"auto\"\r\n            },\r\n            \"inspect\": false\r\n          },\r\n          \"decimals\": 0,\r\n          \"mappings\": [],\r\n          \"thresholds\": {\r\n            \"mode\": \"absolute\",\r\n            \"steps\": [\r\n              {\r\n                \"color\": \"dark-green\",\r\n                \"value\": null\r\n              },\r\n              {\r\n                \"color\": \"green\",\r\n                \"value\": 20\r\n              },\r\n              {\r\n                \"color\": \"super-light-green\",\r\n                \"value\": 50\r\n              },\r\n              {\r\n                \"color\": \"super-light-yellow\",\r\n                \"value\": 70\r\n              },\r\n              {\r\n                \"color\": \"yellow\",\r\n                \"value\": 90\r\n              },\r\n              {\r\n                \"color\": \"dark-yellow\",\r\n                \"value\": 110\r\n              },\r\n              {\r\n                \"color\": \"orange\",\r\n                \"value\": 130\r\n              },\r\n              {\r\n                \"color\": \"red\",\r\n                \"value\": 140\r\n              },\r\n              {\r\n                \"color\": \"dark-red\",\r\n                \"value\": 150\r\n              }\r\n            ]\r\n          },\r\n          \"unit\": \"none\"\r\n        },\r\n        \"overrides\": [\r\n          {\r\n            \"matcher\": {\r\n              \"id\": \"byName\",\r\n              \"options\": \"Year\"\r\n            },\r\n            \"properties\": [\r\n              {\r\n                \"id\": \"mappings\",\r\n                \"value\": [\r\n                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(original work - Glances by nicolargo)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-07-05T18:15:36.000Z","updatedAt":"2022-07-05T18:16:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/16539"},{"rel":"revisions","href":"/dashboards/16539/revisions"},{"rel":"revision","href":"/dashboards/16539/revisions/1"},{"rel":"download","href":"/dashboards/16539/revisions/1/download"},{"rel":"org","href":"/orgs/nikopaulanne"},{"rel":"images","href":"/dashboards/16539/images"},{"rel":"thumbnails","href":"/dashboards/16539/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21147,"status":1,"statusCode":"active","orgId":1135073,"orgSlug":"roykrikke","orgName":"neptunus","slug":"glances-2024","downloads":590,"revisionId":32913,"revision":1,"name":"Glances - 2024","description":"This dashboard displays Glances stats. Monitor yours local or remote server at a glance!\r\nNote:\r\nOriginal work: Glances by nicolargo\r\nGlances - 2022: by nikopaulanne","readme":"The Glances - 2024 dashboard uses the influxdb data source to create a Grafana dashboard with the graph, heatmap, stat and text panels.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-05-28T08:05:31.000Z","updatedAt":"2024-05-28T08:15:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21147"},{"rel":"revisions","href":"/dashboards/21147/revisions"},{"rel":"revision","href":"/dashboards/21147/revisions/1"},{"rel":"download","href":"/dashboards/21147/revisions/1/download"},{"rel":"org","href":"/orgs/roykrikke"},{"rel":"images","href":"/dashboards/21147/images"},{"rel":"thumbnails","href":"/dashboards/21147/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23211,"status":1,"statusCode":"active","orgId":1397070,"orgSlug":"paxignis","orgName":"paxignis","slug":"glances-flux","downloads":707,"revisionId":38038,"revision":2,"name":"Glances [Flux] 2025","description":"v2.0 Glances Grafana Dashboard with a Focus on Docker Container Monitoring","readme":"Displays system monitoring data collected using [Glances](https://github.com/nicolargo/glances) in a Grafana dashboard with a focus on docker containers.\r\n\r\nSome of the data displayed:\r\n\r\n- System info\r\n- Mount point storage used\r\n- Disk IO\r\n- Sensor temperatures\r\n- Comprehensive tables showing all containers memory and CPU usage\r\n- Individual tables for each container showing memory and CPU usage\r\n\r\nSupports easily changing the data bucket, host, selected containers, network interface, disk and temperature sensor.\r\nData is sourced from InfluxDB 2.x using Flux.\r\n\r\n## Requirements:\r\n\r\nFor best results you will need:\r\n\r\n- Docker environment with your containers you want to monitor\r\n- Glances container\r\n- InfluxDB 2.x container\r\n- Grafana container, configured to use Flux query language with InfluxDB\r\n\r\n## How to use it?\r\n\r\n1. Deploy 3 docker containers: InfluxDB, Glances, Grafana.\r\n2. Setup InfluxDB 2.x server and create a new bucket for glances.\r\n3. Configure your glances.conf file to export data to InfluxDB, this is what the default looks like:\r\n   ```\r\n   [influxdb2]\r\n   host=localhost\r\n   port=8086\r\n   protocol=http\r\n   org=PUT_YOUR_ORG_NAME_HERE\r\n   bucket=PUT_YOUR_BUCKET_NAME_HERE\r\n   token=PUT_YOUR_INFLUXDB2_TOKEN_HERE\r\n   ```\r\n4. Start Glances with the export flag: `glances --export influxdb2`\r\n5. Open Grafana webui, and navigate to the add a new dashboard. Either copy the dashboard directly from here, or import from [grafana.com](https://grafana.com/grafana/dashboards/23211-glances-flux/).\r\n6. If you don't see data displayed, ensure you have selected the right bucket and host from the dropdowns.\r\n\r\n## Versions\r\n\r\nLatest release v2.0 tested with:\r\n\r\n- Glances 4.4.1\r\n- InfluxDB 2.8.0\r\n- Grafana 12.3.1\r\n\r\n## Credits\r\n\r\nCredit to [nicolargo](https://github.com/nicolargo/), the creator of [Glances](https://github.com/nicolargo/glances), for the original dashboard:\r\n[https://grafana.com/grafana/dashboards/2387-glances-for-flux/](https://grafana.com/grafana/dashboards/2387-glances-for-flux/)\r\n\r\n## Source\r\n\r\n[Github](https://github.com/PaxIgnis/glances-grafana-dashboard)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-04-07T17:13:37.000Z","updatedAt":"2025-12-22T15:00:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23211"},{"rel":"revisions","href":"/dashboards/23211/revisions"},{"rel":"revision","href":"/dashboards/23211/revisions/2"},{"rel":"download","href":"/dashboards/23211/revisions/2/download"},{"rel":"org","href":"/orgs/paxignis"},{"rel":"images","href":"/dashboards/23211/images"},{"rel":"thumbnails","href":"/dashboards/23211/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16433,"status":1,"statusCode":"active","orgId":23153,"orgSlug":"biocrafting","orgName":"Biocrafting.net","slug":"glasfasermodem","downloads":290,"revisionId":25615,"revision":2,"name":"Glasfasermodem","description":"","readme":"More Information on [Github](https://github.com/uffsalot/telegraf-glasfasermodem-2)","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.http]]\r\n    name_override = \"glasfasermodem\"\r\n    urls = [\"http://192.168.100.1/ONT/client/data/Status.json\"]\r\n    data_format = \"json_v2\"\r\n    headers = {\"Accept-Language\" = \"de,en-US;q=0.7,en;q=0.3\"}\r\n    tagexclude = [\"url\"]\r\n    [[inputs.http.json_v2]]\r\n      [[inputs.http.json_v2.tag]]\r\n        path = '@this.#(varid=\"serial_number\").varvalue'\r\n        rename = \"serialnumber\"\r\n        type = \"string\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"device_name\").varvalue'\r\n        rename = \"devicename\"\r\n        type = \"string\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"rebooting\").varvalue'\r\n        rename = \"rebooting\"\r\n        type = \"bool\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"ploam_state\").varvalue'\r\n        rename = \"ploam_state\"\r\n        type = \"string\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"ploam_success\").varvalue'\r\n        rename = \"ploam_success\"\r\n        type = \"bool\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"service_mode\").varvalue'\r\n        rename = \"service_mode\"\r\n        type = \"bool\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"firmware_version\").varvalue'\r\n        rename = \"firmware_version\"\r\n        type = \"string\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"hardware_revision\").varvalue'\r\n        rename = \"hardware_revision\"\r\n        type = \"string\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"fw_version_standby\").varvalue'\r\n        rename = \"firmware_version_standby\"\r\n        type = \"string\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"hardware_state\").varvalue'\r\n        rename = \"hardware_state\"\r\n        type = \"bool\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"txpackets\").varvalue'\r\n        rename = \"txpackets\"\r\n        type = \"int\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"rxpackets\").varvalue'\r\n        rename = \"rxpackets\"\r\n        type = \"int\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"txbytes\").varvalue'\r\n        rename = \"txbytes\"\r\n        type = \"int\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"rxbytes\").varvalue'\r\n        rename = \"rxbytes\"\r\n        type = \"int\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"rxdrop_packets\").varvalue'\r\n        rename = \"rxdrop_packets\"\r\n        type = \"int\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"link_status\").varvalue'\r\n        rename = \"link_status\"\r\n        type = \"int\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"stability\").varvalue'\r\n        rename = \"stability\"\r\n        type = \"int\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"rxbip_crc\").varvalue'\r\n        rename = \"rxbib_crc\"\r\n        type = \"int\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"txpower\").varvalue'\r\n        rename = \"txpower\"\r\n        type = \"string\"\r\n      [[inputs.http.json_v2.field]]\r\n        path = '@this.#(varid=\"rxpower\").varvalue'\r\n        rename = \"rxpower\"\r\n        type = \"string\"\r\n\r\n[[processors.regex]]\r\n  namepass = [\"glasfasermodem\"]\r\n  order = 1\r\n  [[processors.regex.fields]]\r\n    key = \"txpower\"\r\n    pattern = \"^--$\"\r\n    replacement = \"0\"\r\n  [[processors.regex.fields]]\r\n    key = \"rxpower\"\r\n    pattern = \"^--$\"\r\n    replacement = \"0\"\r\n\r\n[[processors.converter]]\r\n  namepass = [\"glasfasermodem\"]\r\n  order = 2\r\n  [processors.converter.fields]\r\n    float =  [\"rxpower\", \"txpower\"]\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-06-12T21:17:37.000Z","updatedAt":"2022-08-15T09:11:16.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16433"},{"rel":"revisions","href":"/dashboards/16433/revisions"},{"rel":"revision","href":"/dashboards/16433/revisions/2"},{"rel":"download","href":"/dashboards/16433/revisions/2/download"},{"rel":"org","href":"/orgs/biocrafting"},{"rel":"images","href":"/dashboards/16433/images"},{"rel":"thumbnails","href":"/dashboards/16433/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17209,"status":1,"statusCode":"active","orgId":704697,"orgSlug":"msalvati1997","orgName":"msalvati1997","slug":"global-energy-consuming","downloads":282,"revisionId":26436,"revision":1,"name":"GLOBAL ENERGY CONSUMING","description":"Martina Salvati's thesys","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-10-17T10:53:02.000Z","updatedAt":"2022-10-17T18:56:01.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17209"},{"rel":"revisions","href":"/dashboards/17209/revisions"},{"rel":"revision","href":"/dashboards/17209/revisions/1"},{"rel":"download","href":"/dashboards/17209/revisions/1/download"},{"rel":"org","href":"/orgs/msalvati1997"},{"rel":"images","href":"/dashboards/17209/images"},{"rel":"thumbnails","href":"/dashboards/17209/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21750,"status":1,"statusCode":"active","orgId":752960,"orgSlug":"voidquark","orgName":"voidquark","slug":"global-ssh-logs-view","downloads":562,"revisionId":34036,"revision":1,"name":"Global SSH Logs View","description":"Loki - Global SSH Logs","readme":"# Linux Global SSH Logs\r\n\r\n**Global SSH visualization** provides a comprehensive overview of all your Linux systems in a single view. This view groups SSH connection events, both successful and failed, across all your hosts using Promtail and Loki:\r\n- **Failed SSH Connection**\r\n- **Failed SSH Unique IP**\r\n- **Failed SSH Unique Users**\r\n- **Open SSH Connections**\r\n- **Open SSH Unique IP**\r\n- **Open SSH Unique Users**\r\n\r\n\r\nHow to use this dashboard with explanation in blog: [Global SSH View Blog Post](https://voidquark.com/blog/global-ssh-logs-view-with-loki).\r\n\r\nTested on **RHEL8** and **RHEL9**\r\n\r\nThis dashboard serves a different purpose and is not intended to replace the [17514 SSH Logs](https://grafana.com/grafana/dashboards/17514-ssh-logs/) dashboard. It provides a global overview. For more detailed information about IP addresses and users involved in SSH authentication, refer to the **17514** dashboard.\r\n\r\n## Source Code\r\n\r\nGitHub repo link: https://github.com/voidquark/grafana-dashboards\r\n\r\n## Author\r\n\r\nCreated by [VoidQuark](https://voidquark.com)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2024-08-21T18:39:40.000Z","updatedAt":"2024-08-22T08:34:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21750"},{"rel":"revisions","href":"/dashboards/21750/revisions"},{"rel":"revision","href":"/dashboards/21750/revisions/1"},{"rel":"download","href":"/dashboards/21750/revisions/1/download"},{"rel":"org","href":"/orgs/voidquark"},{"rel":"images","href":"/dashboards/21750/images"},{"rel":"thumbnails","href":"/dashboards/21750/thumbnails"}],"datasourceSlugs":["loki"]},{"id":1844,"status":1,"statusCode":"active","orgId":14309,"orgSlug":"fifemon","orgName":"FIFEmon","slug":"global-status","downloads":664,"revisionId":2471,"revision":1,"name":"Global Status","description":"Throw away those pesky detailed graphs, they're really mostly noise anyways.","readme":"So I was sitting there, looking at my dozen Grafana deployments, with over a hundred dashboards, and said to myself \"self, this is getting ridiculous. The users and management don't even really want all these graphs anyways, they just want to know if their systems and services are ok.\" With that realization, I threw all those dashboards away and created a single, very simple dashboard, that utilizes the latest in deep learning heuristics to distill the thousands of monitoring streams, user browsing history, and the coffee pot status into a single comprehensive status.\r\n\r\nThe dashboard seemed a little too simple though, so I also added some blinking lights to show how much work was happening behind the scenes. If it's not in the Grafana plugin list, just [clone the repo](https://github.com/retzkek/grafana-blinkenlights-panel) into your plugins directory.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2017-04-03T14:52:13.000Z","updatedAt":"2017-04-03T15:13:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1844"},{"rel":"revisions","href":"/dashboards/1844/revisions"},{"rel":"revision","href":"/dashboards/1844/revisions/1"},{"rel":"download","href":"/dashboards/1844/revisions/1/download"},{"rel":"org","href":"/orgs/fifemon"},{"rel":"images","href":"/dashboards/1844/images"},{"rel":"thumbnails","href":"/dashboards/1844/thumbnails"}]},{"id":23125,"status":1,"statusCode":"active","orgId":286723,"orgSlug":"ufkunkaraman","orgName":"ufkunkaraman","slug":"glowroot-exporter-dashboard","downloads":276,"revisionId":36561,"revision":1,"name":"Glowroot Exporter Dashboard","description":"Glowroot Exporter Dashboard – JVM Performance at a Glance 🚀","readme":"Glowroot Exporter Dashboard – JVM Performance at a Glance 🚀\r\n\r\nA Prometheus exporter for Glowroot APM metrics, designed to provide real-time insights into your JVM performance. This exporter collects transaction and error metrics from Glowroot and exposes them in Prometheus format, making it easy to visualize data in Grafana.\r\n\r\nKey Features\r\n- ✅ Collects detailed transaction and error metrics from Glowroot\r\n- ✅ Supports agent rollups and child agents for better observability\r\n- ✅ Configurable metrics update interval\r\n- ✅ Exposes a Prometheus-compatible metrics endpoint\r\n\r\n🔗 More Information & Source Code: [GitHub Repository](https://github.com/ufkunkaraman/glowroot-exporter.git)\r\n\r\nThis exporter helps you integrate Glowroot APM with Prometheus and Grafana, offering a seamless way to monitor JVM performance. 🚀","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-03-20T05:12:27.000Z","updatedAt":"2025-03-20T06:49:40.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23125"},{"rel":"revisions","href":"/dashboards/23125/revisions"},{"rel":"revision","href":"/dashboards/23125/revisions/1"},{"rel":"download","href":"/dashboards/23125/revisions/1/download"},{"rel":"org","href":"/orgs/ufkunkaraman"},{"rel":"images","href":"/dashboards/23125/images"},{"rel":"thumbnails","href":"/dashboards/23125/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17441,"status":1,"statusCode":"active","orgId":746653,"orgSlug":"nobreesley","orgName":"senvs","slug":"glpi-assistencia","downloads":2115,"revisionId":27960,"revision":2,"name":"GLPI - ASSISTENCIA","description":"Dashboard fornece estatísticas sobre Tickets e Ativos do GLPI através do Data-Source MySQL. TICKETS GLPI > NOVOS TICKETS; > ABERTO; > PENDENTE; > NÃO ATRIBUIDOS; > ATRIBUIDOS; > SOLUCIONADOS HOJE; > SOLUCIONADOS; > ENCERRADOS; > PRIORIDADE: MÉDIA, ALTA e CRÍTICA; > RANGINK DE TICKETS; > ATRIBUIDOS / TECNICOS; > EM ATENDIMENTO / TECNICOS; > TICKETS RECEBIDOS POR DIA; > TICKETS SOLUCIONADOS / ENCERRADOS POR DIA; > Nº TICKETS EM ABERTOS POR DIA ( ULTIMOS 30 DIAS );","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2022-11-18T20:22:34.000Z","updatedAt":"2023-03-02T13:42:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17441"},{"rel":"revisions","href":"/dashboards/17441/revisions"},{"rel":"revision","href":"/dashboards/17441/revisions/2"},{"rel":"download","href":"/dashboards/17441/revisions/2/download"},{"rel":"org","href":"/orgs/nobreesley"},{"rel":"images","href":"/dashboards/17441/images"},{"rel":"thumbnails","href":"/dashboards/17441/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":17442,"status":1,"statusCode":"active","orgId":746653,"orgSlug":"nobreesley","orgName":"senvs","slug":"glpi-ativos","downloads":1711,"revisionId":26793,"revision":1,"name":"GLPI - ATIVOS","description":"Dashboard fornece estatísticas sobre Ativos do GLPI atraves do Data-Source MySQL.\r\n\r\nATIVOS GLPI\r\n\r\n> TOTAL COMPUTADORES\r\n> TOTAL MONITORES\r\n> TOTAL IMPRESSORAS\r\n> TOTAL TELEFONES\r\n> TOTAL MS 365\r\n\r\n> POR S.O.\r\n\r\n> POR CPU\r\n\r\n> POR GPU\r\n> COMPUTADORES POR LOCALIZAÇÃO","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2022-11-18T20:32:53.000Z","updatedAt":"2022-11-18T20:46:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17442"},{"rel":"revisions","href":"/dashboards/17442/revisions"},{"rel":"revision","href":"/dashboards/17442/revisions/1"},{"rel":"download","href":"/dashboards/17442/revisions/1/download"},{"rel":"org","href":"/orgs/nobreesley"},{"rel":"images","href":"/dashboards/17442/images"},{"rel":"thumbnails","href":"/dashboards/17442/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":19631,"status":1,"statusCode":"active","orgId":951572,"orgSlug":"venancioak","orgName":"venancioak","slug":"glpi-chamados","downloads":1303,"revisionId":30136,"revision":1,"name":"GLPI - CHAMADOS","description":"Dash com métricas de chamados fechados no prazo e fora do prazo, abertos, técnicos, e etc.\r\n\r\nFeito com base no publicado aqui por Nobreesley e adaptado com um painel ostick que fiz","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2023-09-22T20:17:03.000Z","updatedAt":"2023-09-22T20:28:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19631"},{"rel":"revisions","href":"/dashboards/19631/revisions"},{"rel":"revision","href":"/dashboards/19631/revisions/1"},{"rel":"download","href":"/dashboards/19631/revisions/1/download"},{"rel":"org","href":"/orgs/venancioak"},{"rel":"images","href":"/dashboards/19631/images"},{"rel":"thumbnails","href":"/dashboards/19631/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":7568,"status":1,"statusCode":"active","orgId":176828,"orgSlug":"matthieuc","orgName":"matthieuc","slug":"my-glpi-dashboard","downloads":4243,"revisionId":10298,"revision":1,"name":"GLPI Dashboard 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Number of allocated objects.  \n取自[runtime.ReadMemStats()](https://golang.org/pkg/runtime/#ReadMemStats) .HeapObjects  \n- go_memstats_heap_released_bytes: Number of heap bytes released to OS.  \n取自[runtime.ReadMemStats()](https://golang.org/pkg/runtime/#ReadMemStats) .HeapReleased  \n- go_memstats_heap_sys_bytes: Number of heap bytes obtained from system.  \n取自[runtime.ReadMemStats()](https://golang.org/pkg/runtime/#ReadMemStats) .HeapSys  \n- go_memstats_last_gc_time_seconds: Number of seconds since 1970 of last garbage collection.  \n取自[runtime.ReadMemStats()](https://golang.org/pkg/runtime/#ReadMemStats) .LastGC  \n- go_memstats_lookups_total: Total number of pointer lookups.  \n取自[runtime.ReadMemStats()](https://golang.org/pkg/runtime/#ReadMemStats) .Lookups  \n- go_memstats_mallocs_total: Total number of mallocs.  \n取自[runtime.ReadMemStats()](https://golang.org/pkg/runtime/#ReadMemStats) .Mallocs  \n- go_memstats_mcache_inuse_bytes: Number of bytes in use by mcache structures.  \n取自[runtime.ReadMemStats()](https://golang.org/pkg/runtime/#ReadMemStats) .MCacheInuse  \n- go_memstats_mcache_sys_bytes: Number of bytes used for mcache structures obtained from system.  \n取自[runtime.ReadMemStats()](https://golang.org/pkg/runtime/#ReadMemStats) .MCacheSys  \n- go_memstats_mspan_inuse_bytes: Number of bytes in use by mspan structures.  \n取自[runtime.ReadMemStats()](https://golang.org/pkg/runtime/#ReadMemStats) .MSpanInuse  \n- go_memstats_mspan_sys_bytes: Number of bytes used for mspan structures obtained from system.  \n取自[runtime.ReadMemStats()](https://golang.org/pkg/runtime/#ReadMemStats) .MSpanSys  \n- go_memstats_next_gc_bytes: Number of heap bytes when next garbage collection will take place.  \n取自[runtime.ReadMemStats()](https://golang.org/pkg/runtime/#ReadMemStats) .NextGC  \n- go_memstats_other_sys_bytes: Number of bytes used for other system allocations.  \n取自[runtime.ReadMemStats()](https://golang.org/pkg/runtime/#ReadMemStats) .OtherSys  \n- go_memstats_stack_inuse_bytes: Number of bytes in use by the stack allocator.  \n取自[runtime.ReadMemStats()](https://golang.org/pkg/runtime/#ReadMemStats) .StackInuse  \n- go_memstats_stack_sys_bytes: Number of bytes obtained from system for stack allocator.  \n取自[runtime.ReadMemStats()](https://golang.org/pkg/runtime/#ReadMemStats) .StackSys  \n- go_memstats_sys_bytes: Number of bytes obtained from system.  \n取自[runtime.ReadMemStats()](https://golang.org/pkg/runtime/#ReadMemStats) .Sys  \n- go_threads: Number of OS threads created.  \n取自[runtime.ThreadCreateProfile(nil)](https://golang.org/pkg/runtime/#ThreadCreateProfile)  \n- goruntime_process_cpu_seconds_total: Total user and system CPU time spent in seconds.  \n取自[procfs#ProcStat.CPUTime()](https://pkg.go.dev/github.com/prometheus/procfs#ProcStat.CPUTime)  \n- goruntime_process_max_fds: Maximum number of open file descriptors.  \n取自[procfs#ProcLimits](https://pkg.go.dev/github.com/prometheus/procfs#ProcLimits) .OpenFiles  \n- goruntime_process_open_fds: Number of open file descriptors.  \n取自[procfs#Proc.FileDescriptorsLen()](https://pkg.go.dev/github.com/prometheus/procfs#Proc.FileDescriptorsLen)  \n- goruntime_process_resident_memory_bytes: Resident memory size in bytes.  \n取自[procfs#ProcStat.ResidentMemory()](https://pkg.go.dev/github.com/prometheus/procfs#ProcStat.ResidentMemory)  \n- goruntime_process_start_time_seconds: Start time of the process since unix epoch in seconds.  \n取自[procfs#ProcStat.StartTime()](https://pkg.go.dev/github.com/prometheus/procfs#ProcStat.StartTime)  \n- goruntime_process_virtual_memory_bytes: Virtual memory size in bytes.  \n取自[procfs#ProcStat.VirtualMemory()](https://pkg.go.dev/github.com/prometheus/procfs#ProcStat.VirtualMemory)  \n- goruntime_process_virtual_memory_max_bytes: Maximum amount of virtual memory available in bytes.  \n取自[procfs#ProcLimits](https://pkg.go.dev/github.com/prometheus/procfs#ProcLimits) .AddressSpace  \n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-15T07:49:49.000Z","updatedAt":"2021-04-28T00:12:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13722"},{"rel":"revisions","href":"/dashboards/13722/revisions"},{"rel":"revision","href":"/dashboards/13722/revisions/3"},{"rel":"download","href":"/dashboards/13722/revisions/3/download"},{"rel":"org","href":"/orgs/zhuzhengyang"},{"rel":"images","href":"/dashboards/13722/images"},{"rel":"thumbnails","href":"/dashboards/13722/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18838,"status":1,"statusCode":"active","orgId":668822,"orgSlug":"drxray17sms","orgName":"drxray17sms","slug":"go-metrics","downloads":313,"revisionId":28894,"revision":1,"name":"Go 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These are just some panels that I found helpful in identifying problematic behaviour in Go programs, like file descriptor or memory leaks, or excessive garbage generation.  I publish this mostly to inspire someone more knowledgeable to create a better version. ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-07-23T22:05:26.000Z","updatedAt":"2016-08-14T17:20:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/240"},{"rel":"revisions","href":"/dashboards/240/revisions"},{"rel":"revision","href":"/dashboards/240/revisions/3"},{"rel":"download","href":"/dashboards/240/revisions/3/download"},{"rel":"org","href":"/orgs/ncabatoff"},{"rel":"images","href":"/dashboards/240/images"},{"rel":"thumbnails","href":"/dashboards/240/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11891,"status":1,"statusCode":"active","orgId":120980,"orgSlug":"libac","orgName":"libac","slug":"go-processes","downloads":480,"revisionId":16871,"revision":1,"name":"Go Processes","description":"Process status published by Go Prometheus client library, e.g. memory used, fds open, GC details","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-12T05:58:42.000Z","updatedAt":"2020-03-12T06:11:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11891"},{"rel":"revisions","href":"/dashboards/11891/revisions"},{"rel":"revision","href":"/dashboards/11891/revisions/1"},{"rel":"download","href":"/dashboards/11891/revisions/1/download"},{"rel":"org","href":"/orgs/libac"},{"rel":"images","href":"/dashboards/11891/images"},{"rel":"thumbnails","href":"/dashboards/11891/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14397,"status":1,"statusCode":"active","orgId":489584,"orgSlug":"jpfaria","orgName":"jpfaria","slug":"go-processes","downloads":327,"revisionId":21267,"revision":2,"name":"Go Processes","description":"Process status published by Go Prometheus client library, e.g. memory used, fds open, GC 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details","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-10-27T14:13:18.000Z","updatedAt":"2017-10-27T14:29:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3574"},{"rel":"revisions","href":"/dashboards/3574/revisions"},{"rel":"revision","href":"/dashboards/3574/revisions/2"},{"rel":"download","href":"/dashboards/3574/revisions/2/download"},{"rel":"org","href":"/orgs/wapa5pow"},{"rel":"images","href":"/dashboards/3574/images"},{"rel":"thumbnails","href":"/dashboards/3574/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3242,"status":1,"statusCode":"active","orgId":85637,"orgSlug":"vitalyisaev2","orgName":"vitalyisaev2","slug":"go-runtime","downloads":853,"revisionId":4475,"revision":2,"name":"Go Runtime","description":"Visualize metrics generated by https://github.com/tevjef/go-runtime-metrics","readme":"Simple Dashboard that visualizes the most of default Go runtime metrics which are explained [here](https://golang.org/pkg/runtime/#MemStats)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-09-16T23:32:44.000Z","updatedAt":"2017-09-17T01:10:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/3242"},{"rel":"revisions","href":"/dashboards/3242/revisions"},{"rel":"revision","href":"/dashboards/3242/revisions/2"},{"rel":"download","href":"/dashboards/3242/revisions/2/download"},{"rel":"org","href":"/orgs/vitalyisaev2"},{"rel":"images","href":"/dashboards/3242/images"},{"rel":"thumbnails","href":"/dashboards/3242/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22035,"status":1,"statusCode":"active","orgId":1232129,"orgSlug":"nikolaydubina","orgName":"nikolaydubina","slug":"go-runtime","downloads":758,"revisionId":34541,"revision":1,"name":"Go Runtime","description":"Go runtime metrics from OpenTelemetry provider.","readme":"Uses metrics from Open Telemetry (OTEL) [go-otel-runtime](https://pkg.go.dev/go.opentelemetry.io/contrib/instrumentation/runtime).\r\n\r\nOnly non-deprecated metrics as of `2024-09-28`.\r\n\r\nReferences\r\n- https://opentelemetry.io/docs/specs/semconv/runtime/go-metrics\r\n- https://github.com/nikolaydubina/grafana-otel-go-runtime","collectorType":"Select Collector","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-10-07T15:49:05.000Z","updatedAt":"2024-10-07T16:17:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22035"},{"rel":"revisions","href":"/dashboards/22035/revisions"},{"rel":"revision","href":"/dashboards/22035/revisions/1"},{"rel":"download","href":"/dashboards/22035/revisions/1/download"},{"rel":"org","href":"/orgs/nikolaydubina"},{"rel":"images","href":"/dashboards/22035/images"},{"rel":"thumbnails","href":"/dashboards/22035/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14061,"status":1,"statusCode":"active","orgId":5000,"orgSlug":"grafana","orgName":"Grafana Labs","slug":"go-runtime-metrics","downloads":20911,"revisionId":20618,"revision":1,"name":"Go Runtime Exporter Quickstart and Dashboardby Grafana Labs","description":"A quickstart to setup the Prometheus Go runtime exporter 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This quickstart helps you monitor your Go app and set up a preconfigured dashboard.\nThis dashboard includes panels for the following metrics:\n\n- Total Reserved Memory\n- Stack Memory Use\n- Other Memory Reservations\n- Heap Memory\n- Allocation Rate, Bytes\n- Heap Object Allocation Rate\n- Number of Live Objects\n- Goroutines\n- GC min & max duration\n- Next GC, Bytes\n\nThis dashboard was generated using the Prometheus Go Client Library mixin. If you need to modify or regenerate it, please see the [mixin repository](https://github.com/grafana/jsonnet-libs/tree/master/go-runtime-mixin).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-03-12T23:27:48.000Z","updatedAt":"2021-03-12T23:31:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14061"},{"rel":"revisions","href":"/dashboards/14061/revisions"},{"rel":"revision","href":"/dashboards/14061/revisions/1"},{"rel":"download","href":"/dashboards/14061/revisions/1/download"},{"rel":"org","href":"/orgs/grafana"},{"rel":"images","href":"/dashboards/14061/images"},{"rel":"thumbnails","href":"/dashboards/14061/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14616,"status":1,"statusCode":"active","orgId":514576,"orgSlug":"wmsam91","orgName":"wmsam91","slug":"go-runtime-exporter-quickstart-and-dashboardby-grafana-labs","downloads":312,"revisionId":21671,"revision":1,"name":"Go Runtime Exporter Quickstart and Dashboardby Grafana Labs","description":"A quickstart to setup the Prometheus Go runtime exporter with preconfigured dashboards, alerting rules, and recording rules.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-06-23T20:55:26.000Z","updatedAt":"2021-06-23T20:58:11.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14616"},{"rel":"revisions","href":"/dashboards/14616/revisions"},{"rel":"revision","href":"/dashboards/14616/revisions/1"},{"rel":"download","href":"/dashboards/14616/revisions/1/download"},{"rel":"org","href":"/orgs/wmsam91"},{"rel":"images","href":"/dashboards/14616/images"},{"rel":"thumbnails","href":"/dashboards/14616/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22757,"status":1,"statusCode":"active","orgId":1333707,"orgSlug":"vragan","orgName":"vragan","slug":"go-ethereum-by-instance","downloads":250,"revisionId":35915,"revision":1,"name":"Go-Ethereum-By-Instance","description":"A Prometheus metric dashboard for go-ethereum, supports all blockchains compatible with go-ethereum","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-01-27T04:12:03.000Z","updatedAt":"2025-01-27T04:12:34.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22757"},{"rel":"revisions","href":"/dashboards/22757/revisions"},{"rel":"revision","href":"/dashboards/22757/revisions/1"},{"rel":"download","href":"/dashboards/22757/revisions/1/download"},{"rel":"org","href":"/orgs/vragan"},{"rel":"images","href":"/dashboards/22757/images"},{"rel":"thumbnails","href":"/dashboards/22757/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18463,"status":1,"statusCode":"active","orgId":16113,"orgSlug":"jsvisa","orgName":"jsvisa","slug":"go-ethereum-by-instance","downloads":1997,"revisionId":29160,"revision":3,"name":"Go-Ethereum-By-Instance","description":"A Prometheus metric dashboard for go-ethereum, supports all blockchains compatible with go-ethereum","readme":"When starting go-ethereum(aka: geth), it is necessary to add the `--metrics` and `--metrics.expensive` parameters. eg:\r\n\r\n```sh\r\ngeth <other commands> --metrics --metrics.addr 127.0.0.1 --metrics.port 6060 --metrics.expensive\r\n```\r\n\r\n\r\nPrometheus collects metrics using the following method: \r\n\r\n```yaml\r\n    - job_name: 'go-ethereum'\r\n      scrape_interval: 10s\r\n      metrics_path: /debug/metrics/prometheus\r\n      static_configs:\r\n        - targets:\r\n            - '127.0.0.1:6060'\r\n          labels:\r\n            chain: ethereum\r\n```\r\n\r\nAnd If you need to collect rpc related metrics, add a [Prometheus recording rule](https://prometheus.io/docs/prometheus/latest/configuration/recording_rules/) as below:\r\n\r\n```yaml\r\n  groups:\r\n    - name: geth_rpc_requests_rules\r\n      rules:\r\n        - expr: label_replace({__name__=~\"rpc_duration_.*_success\"}, \"method\", \"$1\", \"__name__\", \"rpc_duration_(.+)_success\")\r\n          record: geth_rpc_requests_success\r\n        - expr: label_replace({__name__=~\"rpc_duration_.*_failure\"}, \"method\", \"$1\", \"__name__\", \"rpc_duration_(.+)_failure\")\r\n          record: geth_rpc_requests_failure\r\n\r\n        - expr: label_replace({__name__=~\"rpc_duration_.*_success_count\"}, \"method\", \"$1\", \"__name__\", \"rpc_duration_(.+)_success_count\")\r\n          record: geth_rpc_requests_success_count\r\n        - expr: label_replace({__name__=~\"rpc_duration_.*_failure_count\"}, \"method\", \"$1\", \"__name__\", \"rpc_duration_(.+)_failure_count\")\r\n          record: geth_rpc_requests_failure_count\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-08T02:40:57.000Z","updatedAt":"2023-06-23T03:56:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18463"},{"rel":"revisions","href":"/dashboards/18463/revisions"},{"rel":"revision","href":"/dashboards/18463/revisions/3"},{"rel":"download","href":"/dashboards/18463/revisions/3/download"},{"rel":"org","href":"/orgs/jsvisa"},{"rel":"images","href":"/dashboards/18463/images"},{"rel":"thumbnails","href":"/dashboards/18463/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23188,"status":1,"statusCode":"active","orgId":1395309,"orgSlug":"criyle","orgName":"criyle","slug":"sandbox","downloads":382,"revisionId":36694,"revision":1,"name":"go-judge Sandbox","description":"Monitoring go-judge sandbox service key parameters","readme":"Monitoring [go-judge sandbox](https://github.com/criyle/go-judge) key metrics.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-04T21:43:30.000Z","updatedAt":"2025-04-04T22:02:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23188"},{"rel":"revisions","href":"/dashboards/23188/revisions"},{"rel":"revision","href":"/dashboards/23188/revisions/1"},{"rel":"download","href":"/dashboards/23188/revisions/1/download"},{"rel":"org","href":"/orgs/criyle"},{"rel":"images","href":"/dashboards/23188/images"},{"rel":"thumbnails","href":"/dashboards/23188/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23583,"status":1,"statusCode":"active","orgId":1462588,"orgSlug":"florentinraud","orgName":"florentinraud","slug":"go-pot","downloads":409,"revisionId":37541,"revision":1,"name":"go-pot","description":"Track the number of secret generated by go-pot and the time wasted","readme":"This dashboard display [go-pot](https://github.com/ryanolee/go-pot) metrics available: track how many secrets are being generated, and how much time visitors have wasted on them.\r\n\r\nYou will need to enable telemetry and prometheus in the configuration.\r\nA sample for the config file is available on the [owner's repo](https://github.com/ryanolee/go-pot/blob/main/examples/config/reference.yml)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-06-19T13:03:04.000Z","updatedAt":"2025-06-19T13:55:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23583"},{"rel":"revisions","href":"/dashboards/23583/revisions"},{"rel":"revision","href":"/dashboards/23583/revisions/1"},{"rel":"download","href":"/dashboards/23583/revisions/1/download"},{"rel":"org","href":"/orgs/florentinraud"},{"rel":"images","href":"/dashboards/23583/images"},{"rel":"thumbnails","href":"/dashboards/23583/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19909,"status":1,"statusCode":"active","orgId":870764,"orgSlug":"liamhao","orgName":"liamhao","slug":"go-zero","downloads":451,"revisionId":30603,"revision":1,"name":"Go-Zero","description":"专为go-zero框架设计的监控面板","readme":"在K8S中，已经部署了 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/metrics\r\n```\r\n如果要变更端口，则需要同时修改以上两个地方，且要保持一致","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-05T08:37:04.000Z","updatedAt":"2023-11-05T09:24:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19909"},{"rel":"revisions","href":"/dashboards/19909/revisions"},{"rel":"revision","href":"/dashboards/19909/revisions/1"},{"rel":"download","href":"/dashboards/19909/revisions/1/download"},{"rel":"org","href":"/orgs/liamhao"},{"rel":"images","href":"/dashboards/19909/images"},{"rel":"thumbnails","href":"/dashboards/19909/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25209,"status":1,"statusCode":"active","orgId":1741695,"orgSlug":"streltsova","orgName":"streltsova","slug":"go1c","downloads":7,"revisionId":40572,"revision":1,"name":"GO1C / База Данных","description":"Мониторинг Баз Данных для  кластеров 1С в Готовом Облаке 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Резервное копирование\r\n\r\nДашборд предназначен для мониторинга  Баз Данных в кластерах 1С, развернутых в Готовом Облаке 1С Selectel. Обеспечивает Возможность отслеживать основные показатели производительности БД.\r\n\r\n## Возможности\r\n\r\n## Отображаемые метрики\r\n\r\n- Средняя Загрузка БД (Load Average)\r\n- RAM\r\n- CPU\r\n- Network\r\n- Disk Storage\r\n\r\n## Требования\r\n\r\n- Grafana\r\n- Источник данных: Prometheus\r\n\r\n## Установка\r\n\r\n- Импортируйте JSON дашборда в Grafana\r\n- Настройте источник данных\r\n- Сопоставьте переменные (cluster, project_id и т.д.)\r\n\r\n## Переменные\r\n\r\n- `cluster_id`. идентификатор кластера 1С\r\n- `project_id` идентификатор проекта в облаке 1С\r\n- `ds_id` идентификатор Базы Данных кластера 1С","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-23T13:36:59.000Z","updatedAt":"2026-04-24T13:40:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25209"},{"rel":"revisions","href":"/dashboards/25209/revisions"},{"rel":"revision","href":"/dashboards/25209/revisions/1"},{"rel":"download","href":"/dashboards/25209/revisions/1/download"},{"rel":"org","href":"/orgs/streltsova"},{"rel":"images","href":"/dashboards/25209/images"},{"rel":"thumbnails","href":"/dashboards/25209/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25210,"status":1,"statusCode":"active","orgId":1741695,"orgSlug":"streltsova","orgName":"streltsova","slug":"go1c-1","downloads":20,"revisionId":40574,"revision":1,"name":"GO1C / Кластер 1С","description":"Дашборд для кластеров Готового Облака 1С: мониторинг состояния, ресурсов, сессий, процессов, сети, диска и Apache, а также лицензий и событий обслуживания.","readme":"# Готовое Облако 1С. Кластер 1С\r\n\r\nДашборд предназначен для мониторинга кластеров 1С, развернутых в Готовом Облаке 1С Selectel. Объединяет метрики уровня кластера, процессов и инфраструктуры в едином интерфейсе.\r\n\r\n## Возможности\r\n\r\n### Общая информация о кластере\r\n\r\n- Имя кластера и версия платформы\r\n- Текущий статус кластера и сервера лицензий\r\n- События обслуживания (maintenance)\r\n- Тип доступа (public/private)\r\n\r\n### Использование ресурсов\r\n\r\n- Загрузка CPU, использование памяти и диска\r\n- Выделенные ресурсы (vCPU, RAM, диск)\r\n- Тип виртуальной машины\r\n\r\n### Лицензии\r\n\r\n- Количество серверных лицензий\r\n- Количество клиентских лицензий\r\n- Общее число доступных мест (seats)\r\n\r\n### Сессии и активность\r\n\r\n- Сессии по типам клиентских приложений\r\n- Сессии по видам активности\r\n- Текущие активные сессии\r\n\r\n# Мониторинг процессов\r\n\r\n- Использование CPU\r\n- Память\r\n- Количество потоков\r\n- Файловые дескрипторы\r\n\r\n### Внутренние процессы 1С\r\n\r\n- Метрики rphost (нагрузка, подключения, состояние)\r\n- Использование rnmgr\r\n- Контроль превышения лимитов памяти\r\n\r\n### Сеть\r\n\r\n- Входящий и исходящий трафик\r\n- Скорость обработки пакетов\r\n- Потери пакетов\r\n\r\n### Диск\r\n- IOPS\r\n- Пропускная способность\r\n\r\n### Apache\r\n\r\n- RPS (запросы в секунду)\r\n- Время ответа\r\n- Состояние воркеров и scoreboard\r\n- Использование CPU и памяти\r\n\r\n### Состояние системы\r\n\r\n- Общий статус кластера\r\n- Таймлайны состояний\r\n\r\n## Требования\r\n\r\n- Grafana\r\n- Источник данных: Prometheus\r\n\r\n## Установка\r\n\r\n- Импортируйте JSON дашборда в Grafana\r\n- Настройте источник данных\r\n- Сопоставьте переменные (cluster, project_id и т.д.)\r\n\r\n## Переменные\r\n\r\n- `cluster_id`. идентификатор кластера 1С\r\n- `project_id` идентификатор проекта в облаке 1С","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-24T01:23:53.000Z","updatedAt":"2026-04-24T13:40:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25210"},{"rel":"revisions","href":"/dashboards/25210/revisions"},{"rel":"revision","href":"/dashboards/25210/revisions/1"},{"rel":"download","href":"/dashboards/25210/revisions/1/download"},{"rel":"org","href":"/orgs/streltsova"},{"rel":"images","href":"/dashboards/25210/images"},{"rel":"thumbnails","href":"/dashboards/25210/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25203,"status":1,"statusCode":"active","orgId":1741695,"orgSlug":"streltsova","orgName":"streltsova","slug":"go1c","downloads":4,"revisionId":40560,"revision":1,"name":"GO1C / Резервные копии","description":"Мониторинг процесса резервного копирования кластеров 1С в Готовом Облаке Selectel: статус заданий, длительность, ошибки и ключевые метрики выполнения.","readme":"# Готовое Облако 1С. Резервное копирование\r\n\r\nДашборд предназначен для мониторинга процессов резервного копирования кластеров 1С, развернутых в Готовом Облаке 1С Selectel. Обеспечивает наблюдаемость выполнения бэкапов, помогает оперативно выявлять ошибки и анализировать производительность.\r\n## Возможности\r\n\r\n## Отображаемые метрики\r\n\r\nДашборд визуализирует следующие типы метрик:\r\n\r\n- Статус выполнения бэкапов (успешно / ошибка / в процессе / отменено)\r\n- Длительность выполнения бэкапа\r\n- Количество выполненных бэкапов\r\n- Количество ошибок\r\n- Размер занимаемый резервными копиями\r\n\r\n## Требования\r\n\r\n- Grafana\r\n- Источник данных: Prometheus\r\n\r\n## Установка\r\n\r\n- Импортируйте JSON дашборда в Grafana\r\n- Настройте источник данных\r\n- Сопоставьте переменные (cluster, project_id и т.д.)\r\n\r\n## Переменные\r\n\r\n- `cluster_id`. идентификатор кластера 1С\r\n- `project_id` идентификатор проекта в облаке 1С","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-22T14:50:11.000Z","updatedAt":"2026-04-23T08:42:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25203"},{"rel":"revisions","href":"/dashboards/25203/revisions"},{"rel":"revision","href":"/dashboards/25203/revisions/1"},{"rel":"download","href":"/dashboards/25203/revisions/1/download"},{"rel":"org","href":"/orgs/streltsova"},{"rel":"images","href":"/dashboards/25203/images"},{"rel":"thumbnails","href":"/dashboards/25203/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24149,"status":1,"statusCode":"active","orgId":1540767,"orgSlug":"lilya","orgName":"lilya","slug":"goaccess-exporter","downloads":127,"revisionId":39325,"revision":3,"name":"Goaccess_exporter","description":"","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-09-23T09:46:35.000Z","updatedAt":"2025-12-13T07:34:16.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24149"},{"rel":"revisions","href":"/dashboards/24149/revisions"},{"rel":"revision","href":"/dashboards/24149/revisions/3"},{"rel":"download","href":"/dashboards/24149/revisions/3/download"},{"rel":"org","href":"/orgs/lilya"},{"rel":"images","href":"/dashboards/24149/images"},{"rel":"thumbnails","href":"/dashboards/24149/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24198,"status":1,"statusCode":"active","orgId":616816,"orgSlug":"strrl","orgName":"strrl","slug":"goat-network","downloads":98,"revisionId":38585,"revision":1,"name":"GOAT Network","description":"GOAT Network","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-10-03T06:25:13.000Z","updatedAt":"2025-10-03T06:26:34.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24198"},{"rel":"revisions","href":"/dashboards/24198/revisions"},{"rel":"revision","href":"/dashboards/24198/revisions/1"},{"rel":"download","href":"/dashboards/24198/revisions/1/download"},{"rel":"org","href":"/orgs/strrl"},{"rel":"images","href":"/dashboards/24198/images"},{"rel":"thumbnails","href":"/dashboards/24198/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22061,"status":1,"statusCode":"active","orgId":1243755,"orgSlug":"skalanetworks","orgName":"skalanetworks","slug":"gobgp","downloads":321,"revisionId":34810,"revision":4,"name":"GoBGP","description":"","readme":"This is meant to be used with metrics exposed by https://github.com/osrg/gobgp","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-10-10T17:04:42.000Z","updatedAt":"2024-10-26T18:09:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22061"},{"rel":"revisions","href":"/dashboards/22061/revisions"},{"rel":"revision","href":"/dashboards/22061/revisions/4"},{"rel":"download","href":"/dashboards/22061/revisions/4/download"},{"rel":"org","href":"/orgs/skalanetworks"},{"rel":"images","href":"/dashboards/22061/images"},{"rel":"thumbnails","href":"/dashboards/22061/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25214,"status":1,"statusCode":"active","orgId":1745726,"orgSlug":"aramiskessler","orgName":"aramiskessler","slug":"godagent-v2-agentic-pipeline","downloads":6,"revisionId":40585,"revision":1,"name":"GodAgent v2 — Agentic Pipeline","description":"GodAgent v2 — agentic pipeline observability. 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You can find it at: \r\n* [https://www.goetemp.de/graphs/grafana/]\r\n\r\n\r\nPlease note, that it is a German project,\r\n\r\n## Changelog\r\n* Revision 3: added more annotations (query for: #warning, #unwetter, #vorabinformation)\r\n* Revision 2: added current temperature and weatherwarnings\r\n* Revision 1: initial release\r\n\r\n\r\n[https://www.goetemp.de/graphs/grafana/]:https://www.goetemp.de/graphs/grafana/","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"SimpleJson","privacy":"public","createdAt":"2017-01-08T20:28:23.000Z","updatedAt":"2017-01-09T19:39:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1268"},{"rel":"revisions","href":"/dashboards/1268/revisions"},{"rel":"revision","href":"/dashboards/1268/revisions/3"},{"rel":"download","href":"/dashboards/1268/revisions/3/download"},{"rel":"org","href":"/orgs/janvonde"},{"rel":"images","href":"/dashboards/1268/images"},{"rel":"thumbnails","href":"/dashboards/1268/thumbnails"}],"datasourceSlugs":["grafana-simple-json-datasource"]},{"id":19905,"status":1,"statusCode":"active","orgId":973515,"orgSlug":"stella551","orgName":"GoFr","slug":"gofr-application-services-monitoring-2","downloads":332,"revisionId":35662,"revision":4,"name":"GoFr - Application Services Monitoring","description":"Gofr Dashboard offers real-time insights into our system's performance, displaying key metrics like response times and error rates. Tailored for DevOps and engineering teams, it pulls data from Prometheus and Kubernetes. Updated regularly, we encourage your feedback to make it even more valuable for your needs.","readme":"GoFr dashboard helps to visualise Application Services performance. It provides several metrics including:\r\n\r\n- **App Information** [App Name, App Version, Framework Version, Go Version]\r\n- **System Information** [Go Routines, Memory Utilisation]\r\n- **Inbound Requests** [Response time SLA(p90, p95, p99, p99.9), Request Latency Distribution, Request Count over time, Response Code Over time, Route Level SLA(p90, p95, p99, p99.9), Route Level Response Code]\r\n- **Outbound Requests** [Response time SLA(p90, p95, p99, p99.9), Request Latency Distribution, Request Count over time, Response Code Over time, Route Level SLA(p90, p95, p99, p99.9), Route Level Response Code]\r\n- **SQL Database** [Response time SLA(p90, p95, p99, p99.9), Query Count Over Time, Connection     Count, Query Type Level SLA(p90, p95, p99, p99.9)]\r\n- **Redis** [Response time SLA(p90, p95, p99, p99.9), Query Count Over Time, Query Type Level SLA(p90, p95, p99, p99.9)]\r\n- **PubSub Consumers**[Topics, Consumption Over Time(Receive), Consumption Over Time(Success),  Consumption Over Time(Failure)]\r\n- **PubSub Publisher**[Topics, Publish Over Time(Receive), Publish Over Time(Success), Publish Over Time(Failure)]\r\n\r\nThis Dashboard is compatible with newer releases of GoFr as well.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-11-04T06:57:00.000Z","updatedAt":"2025-02-22T05:57:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19905"},{"rel":"revisions","href":"/dashboards/19905/revisions"},{"rel":"revision","href":"/dashboards/19905/revisions/4"},{"rel":"download","href":"/dashboards/19905/revisions/4/download"},{"rel":"org","href":"/orgs/stella551"},{"rel":"images","href":"/dashboards/19905/images"},{"rel":"thumbnails","href":"/dashboards/19905/thumbnails"}]},{"id":13076,"status":1,"statusCode":"active","orgId":204175,"orgSlug":"chanjarster","orgName":"chanjarster","slug":"golang-metrics","downloads":872,"revisionId":18954,"revision":1,"name":"GoLang Metrics (for Prometheus Operator)","description":"Golang Application Runtime metrics","readme":"A polish version of https://grafana.com/grafana/dashboards/10826","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2020-09-27T05:59:08.000Z","updatedAt":"2020-09-27T06:06:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13076"},{"rel":"revisions","href":"/dashboards/13076/revisions"},{"rel":"revision","href":"/dashboards/13076/revisions/1"},{"rel":"download","href":"/dashboards/13076/revisions/1/download"},{"rel":"org","href":"/orgs/chanjarster"},{"rel":"images","href":"/dashboards/13076/images"},{"rel":"thumbnails","href":"/dashboards/13076/thumbnails"}]},{"id":23484,"status":1,"statusCode":"active","orgId":857650,"orgSlug":"asfhen","orgName":"asfhen","slug":"golang-monitoring-echo-gorm","downloads":881,"revisionId":37335,"revision":1,"name":"Golang Monitoring - Echo & GORM","description":"This production-ready dashboard provides full-stack visibility for Golang applications using Echo framework and GORM ORM. Monitor critical application metrics including HTTP performance, memory allocation patterns, garbage collection efficiency, and database connection pooling. Features intelligent Apdex scoring, live request tracing, and resource utilization trends with built-in alert thresholds. Perfect for DevOps teams managing high-performance Golang microservices.","readme":"# Golang Echo & GORM Monitoring Dashboard\r\n## Overview\r\nA comprehensive monitoring solution for Golang applications using the Echo web framework and GORM ORM. This dashboard provides deep insights into application performance, resource utilization, and database operations through Prometheus metrics integration.\r\n## Key Features:\r\n\r\n- Real-time monitoring of Golang runtime metrics\r\n- Echo framework performance analytics\r\n- GORM database connection tracking\r\n- Memory and garbage collection insights\r\n- File descriptor usage tracking\r\n- HTTP request analytics with Apdex scoring\r\n- Pre-configured alerts through visual thresholds\r\n\r\n## Metrics Monitored\r\n### Application Health\r\n\r\n- Service status (Up/Down)\r\n- Process restarts\r\n- Goroutine/thread counts\r\n- File descriptor usage vs limits\r\n\r\n### Performance Metrics\r\n    \r\n- Request latency (95th/99th percentiles)\r\n- QPS (Queries Per Second)\r\n- Error rates (4xx/5xx responses)\r\n- Apdex score calculation\r\n- Memory allocation patterns\r\n- GC pause durations\r\n\r\n### Database Monitoring\r\n\r\n- Connection pool utilization\r\n- Active vs idle connections\r\n- Connection wait times\r\n- SQL query rates\r\n\r\n### Resource Utilization\r\n- Memory breakdown (heap, stack, GC)\r\n- CPU usage metrics\r\n- Network I/O statistics\r\n- Goroutine lifecycle tracking\r\n\r\n## Installation\r\n    \r\n1. Prerequisites:\r\n- Prometheus instance scraping your Golang application\r\n- Grafana v11.6.1+ with Prometheus datasource configured  \r\n\r\n2. Import Dashboard:\r\n- Download the JSON file\r\n- In Grafana: Create → Import → Upload JSON\r\n- Configure datasource mapping\r\n\r\n3. Configure Variables:\r\n- $instance: Your application instances\r\n- $job: Prometheus job label\r\n- $target/$tolerated: Apdex thresholds\r\n- $interval: Time range selector\r\n\r\n## Usage Tips\r\n\r\n- Use the Time Range selector for historical analysis\r\n- Hover over gauge widgets for threshold percentages\r\n- Click panel titles to inspect raw metrics\r\n- Adjust Apdex thresholds via template variables\r\n- Utilize row collapsing for focused analysis\r\n- Combine with Prometheus alerts for proactive monitoring\r\n\r\n## Customization\r\n\r\n- Modify thresholds in gauge panels\r\n- Add/remove metrics in table panels\r\n- Adjust color schemes in field overrides\r\n- Create annotations for deployment events\r\n- Add custom metrics through Prometheus queries","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-05-27T13:51:24.000Z","updatedAt":"2025-05-28T19:32:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23484"},{"rel":"revisions","href":"/dashboards/23484/revisions"},{"rel":"revision","href":"/dashboards/23484/revisions/1"},{"rel":"download","href":"/dashboards/23484/revisions/1/download"},{"rel":"org","href":"/orgs/asfhen"},{"rel":"images","href":"/dashboards/23484/images"},{"rel":"thumbnails","href":"/dashboards/23484/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17365,"status":1,"statusCode":"active","orgId":739138,"orgSlug":"kobibn","orgName":"kobibn","slug":"golani-dashboard","downloads":263,"revisionId":26681,"revision":1,"name":"Golani Dashboard","description":"Tesco monitoring","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-11-07T10:07:35.000Z","updatedAt":"2022-11-07T10:08:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17365"},{"rel":"revisions","href":"/dashboards/17365/revisions"},{"rel":"revision","href":"/dashboards/17365/revisions/1"},{"rel":"download","href":"/dashboards/17365/revisions/1/download"},{"rel":"org","href":"/orgs/kobibn"},{"rel":"images","href":"/dashboards/17365/images"},{"rel":"thumbnails","href":"/dashboards/17365/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15829,"status":1,"statusCode":"active","orgId":609582,"orgSlug":"annguyen281","orgName":"annguyen281","slug":"gitlab-ci-pipelines","downloads":359,"revisionId":23977,"revision":1,"name":"Golden Eyes GitLab CI pipelines","description":"This dashboard leverages the Prometheus exporter I wrote to fetch information about GitLab CI pipelines statuses. 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Fork this project, use it and please provide feedback.\r\n","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.http]]\r\n    urls = [\"http://YOURGOLDSHELLIP/mcb/cgminer?cgminercmd=devs\"]\r\n    data_format = \"json_v2\"\r\n        [[inputs.http.json_v2]]\r\n            measurement_name = \"goldshell_stats\"\r\n        [[inputs.http.json_v2.object]]\r\n            path = \"data\"\r\n\r\n\r\n[[inputs.http]]\r\n    urls = [\"http://YOURGOLDSHELLIP/mcb/status\"]\r\n    data_format = \"json_v2\"\r\n        [[inputs.http.json_v2]]\r\n            measurement_name = \"goldshell_stats\"\r\n            \r\n            [[inputs.http.json_v2.field]]\r\n                path = \"hardware\"\r\n\r\n            [[inputs.http.json_v2.field]]\r\n                path = \"model\"\r\n\r\n            [[inputs.http.json_v2.field]]\r\n                path = \"firmware\" \r\n```","collectorPluginList":"httpjson","datasource":null,"privacy":"public","createdAt":"2021-11-26T16:30:20.000Z","updatedAt":"2022-05-04T09:10:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15313"},{"rel":"revisions","href":"/dashboards/15313/revisions"},{"rel":"revision","href":"/dashboards/15313/revisions/2"},{"rel":"download","href":"/dashboards/15313/revisions/2/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/15313/images"},{"rel":"thumbnails","href":"/dashboards/15313/thumbnails"}]},{"id":23799,"status":1,"statusCode":"active","orgId":650641,"orgSlug":"jkaninda","orgName":"jkaninda","slug":"goma-gateway-observability-dashboard","downloads":310,"revisionId":38586,"revision":17,"name":"Goma Gateway Observability Dashboard","description":"Visualize Goma Gateway metrics","readme":"Goma Gateway Observability Dashboard\r\n\r\nThis dashboard provides comprehensive insights into your Goma Gateway instance. 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Per-direction memcpy throughput + p50/p95/p99 (from per-event histogram), local NCCL collective rates by op_type, libnccl version roster. Answer: is data movement my bottleneck on this box? eBPF uprobes on libcudart and libnccl.","readme":"## What this dashboard shows\r\n\r\nA single-host data-movement view: CUDA memcpy bandwidth + per-event duration percentiles by direction, plus local NCCL collective rates + libnccl version roster. Answer to: \"Is data movement my bottleneck on this box?\"\r\n\r\nThe headline panels:\r\n\r\n**Memcpy section:**\r\n\r\n- **Total memcpy throughput** - sum of `gpu_memcpy_bytes_total`\r\n  rate across all directions.\r\n- **p50 / p95 / p99 duration (all directions)** - per-event\r\n  latency percentiles from the `gpu_memcpy_duration_ms` histogram.\r\n- **Bandwidth per direction** - h2d / d2h / d2d / default /\r\n  unknown over time. h2d-d2h skew = data-pipeline imbalance.\r\n- **Duration percentiles per direction** - p95 per direction\r\n  to surface direction-specific tail latency.\r\n- **Duration distribution heatmap** - shape of the duration\r\n  histogram over time. Right-skewed = tail latency.\r\n\r\n**NCCL on this node section:**\r\n\r\n- **Local NCCL processes** - count of libnccl-loaded PIDs from\r\n  the discovery scanner.\r\n- **Collective rate by op_type** - locally fired collectives:\r\n  `ncclAllReduce`, `ncclAllGather`, `ncclReduceScatter`,\r\n  `ncclBcast`, `ncclSend`, `ncclRecv`.\r\n- **Bandwidth by op_type** - rate of cumulative bytes counter.\r\n- **Distinct libnccl versions** - count of unique\r\n  `libnccl_version` labels (different PyTorch venvs ship\r\n  different NCCL ABIs).\r\n- **Local libnccl-loaded processes (table)** - PID + comm +\r\n  libnccl path + version per process.\r\n\r\nLinux only. amd64 + arm64.\r\n\r\n## How the data is collected\r\n\r\n**Install the Ingero agent:**\r\n\r\n```\r\ncurl -sSL https://github.com/ingero-io/ingero/releases/latest/download/install.sh | bash\r\n```\r\n\r\n**Run with the Prometheus exporter and NCCL uprobes:**\r\n\r\n```\r\nsudo ingero trace --nccl --prometheus :9090\r\n```\r\n\r\n**Scrape and import:**\r\n\r\nScrape `:9090/metrics` from your Prometheus / Grafana Alloy /\r\nGrafana Cloud agent. Import this dashboard, pick your Prometheus datasource.\r\n\r\n### Memcpy metrics\r\n\r\neBPF uprobes on libcudart cudaMemcpy symbols (cudaMemcpy, cudaMemcpyAsync, cudaMemcpy2D, cudaMemcpy2DAsync, cudaMemcpyPeer,\r\ncudaMemcpyPeerAsync) at function entry + return. The cudaMemcpyKind\r\nargument is read from the userspace register at uprobe entry to label the direction.\r\n\r\n- `gpu_memcpy_bytes_total` (per direction label) - cumulative bytes.\r\n- `gpu_memcpy_duration_ms_bucket` / `_sum` / `_count` (per direction\r\n  label) - per-event histogram. Use `histogram_quantile()` on `rate(_bucket)` for accurate percentiles.\r\n\r\nThe 2D variants emit direction=unknown because cudaMemcpyKind is the 7th parameter and not portably readable from BPF on amd64 + arm64.\r\n\r\n### NCCL metrics\r\n\r\neBPF uprobes on libnccl.so symbols (ncclAllReduce, ncclAllGather,\r\nncclReduceScatter, ncclBcast, ncclSend, ncclRecv, etc.) at function entry + return. A runtime libnccl-discovery scanner finds PyTorch and pip-installed NCCL ABIs in /proc/PID/maps (no system-libnccl required) and attaches uprobes to each libnccl path on the fly.\r\n\r\n- `gpu_nccl_collective_count` (per op_type label) - total events.\r\n- `gpu_nccl_collective_bytes_total` (per op_type label) - total bytes.\r\n- `gpu_nccl_collective_barrier_events` (per op_type label) -  barrier-shape collectives.\r\n- `gpu_nccl_process_loaded` (with pid, comm, libnccl_path,\r\n  libnccl_version labels) - per-PID gauge from discovery scanner.\r\n- `gpu_nccl_processes_total` - count of discovered PIDs.\r\n\r\n## Why eBPF for data movement\r\n\r\n`nvidia-smi --query-gpu=memory.used` polls device-state registers;\r\nit cannot tell you whether the bytes flowed h2d, d2h, or d2d, and has no per-call latency. DCGM-exporter has the same limitation. Ingero's libcudart + libnccl uprobes capture every memcpy and every collective at the call boundary, so the per-direction breakdown + per-op_type breakdown both come from real call-site\r\ndata, not aggregate counters.\r\n\r\nFor NCCL specifically, the multi-libnccl-discovery is what makes this work on PyTorch + pip workloads, where libnccl ships inside the venv (e.g. $VENV/lib/python3.10/site-packages/torch/../nvidia/nccl/lib/libnccl.so.2) rather than a system path. Without runtime discovery the agent would attach to whatever libnccl was on LD_LIBRARY_PATH at boot, which is usually nothing useful for PyTorch wheels.\r\n\r\n## Companion dashboards\r\n\r\n- **Single-host set** (this set): GPU Trace Overview (#25277), CUDA Op Profiler (#25278), GPU Data Movement (this one),  GPU Memory & Throttle.\r\n- **Multi-node cluster set**: GPU Cluster Overview (#25271), NCCL Stragglers (#25273), GPU Memcpy Bandwidth (#25274), GPU Memory Fragmentation (#25275), Per-Node Drill-Down (#25276).\r\n- **Fleet pipeline health**: operator dashboard for the Ingero Fleet collector itself.\r\n\r\nAll published under https://grafana.com/orgs/ingero\r\n\r\n## Source\r\n\r\n- Agent: https://github.com/ingero-io/ingero\r\n- Dashboard JSON: https://github.com/ingero-io/ingero/tree/main/examples/grafana/single-node\r\n- License: Apache-2.0\r\n\r\nIssues, panel suggestions, dashboard PRs welcome on\r\nhttps://github.com/ingero-io/ingero/issues","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-05-10T13:33:49.000Z","updatedAt":"2026-05-20T17:21:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25280"},{"rel":"revisions","href":"/dashboards/25280/revisions"},{"rel":"revision","href":"/dashboards/25280/revisions/1"},{"rel":"download","href":"/dashboards/25280/revisions/1/download"},{"rel":"org","href":"/orgs/ingero"},{"rel":"images","href":"/dashboards/25280/images"},{"rel":"thumbnails","href":"/dashboards/25280/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21645,"status":1,"statusCode":"active","orgId":1062565,"orgSlug":"nghtm","orgName":"nghtm","slug":"gpu-health-cluster","downloads":514,"revisionId":33845,"revision":1,"name":"GPU Health - Cluster","description":"Cluster Wide View of Common GPU Errors","readme":"This Dashboard provides common GPU errors exported from [Nvidia-DCGM-Exporter](https://github.com/NVIDIA/dcgm-exporter).\r\n\r\n### How to implement:\r\n* this dashboard assumes you are using Nvidia DCGM Exporter version 3.3.5-3.4.1-ubuntu22.04 or later. You can find an example [bootstrap script here](https://github.com/aws-samples/awsome-distributed-training/blob/main/1.architectures/5.sagemaker-hyperpod/LifecycleScripts/base-config/utils/install_dcgm_exporter.sh) which installs DCGM exporter and runs in a docker container.\r\n* For example of Prometheus + Grafana + Cluster Architecture, find here: https://github.com/aws-samples/awsome-distributed-training/tree/main/4.validation_and_observability/4.prometheus-grafana\r\n\r\n### About this dashboard\r\nThis dashboard displays metrics of common GPU errors including Uncorrectable Remapped Rows, Correctable Remapped Rows, XID Error Codes, Row Remap Failure, Thermal violations, and Missing GPUs (from Nvidia-SMI)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-08-05T22:07:00.000Z","updatedAt":"2024-08-06T01:40:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21645"},{"rel":"revisions","href":"/dashboards/21645/revisions"},{"rel":"revision","href":"/dashboards/21645/revisions/1"},{"rel":"download","href":"/dashboards/21645/revisions/1/download"},{"rel":"org","href":"/orgs/nghtm"},{"rel":"images","href":"/dashboards/21645/images"},{"rel":"thumbnails","href":"/dashboards/21645/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23472,"status":1,"statusCode":"active","orgId":1062565,"orgSlug":"nghtm","orgName":"nghtm","slug":"gpu-health-cluster","downloads":246,"revisionId":37315,"revision":1,"name":"GPU Health - EKS Cluster","description":"Cluster Wide View of Common GPU Errors","readme":"HyperPod EKS Dashboard for Cluster wide GPU Metrics reported from Nvidia DCGM Exporter","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-05-23T16:41:46.000Z","updatedAt":"2025-05-23T16:43:01.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23472"},{"rel":"revisions","href":"/dashboards/23472/revisions"},{"rel":"revision","href":"/dashboards/23472/revisions/1"},{"rel":"download","href":"/dashboards/23472/revisions/1/download"},{"rel":"org","href":"/orgs/nghtm"},{"rel":"images","href":"/dashboards/23472/images"},{"rel":"thumbnails","href":"/dashboards/23472/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21646,"status":1,"statusCode":"active","orgId":1062565,"orgSlug":"nghtm","orgName":"nghtm","slug":"gpu-health-filter-by-host","downloads":438,"revisionId":33850,"revision":1,"name":"GPU Health - Filter By Host","description":"To be used with GPU Cluster Dashboard (ID: 21645)","readme":"This Dashboard provides common GPU errors exported from [Nvidia-DCGM-Exporter](https://github.com/NVIDIA/dcgm-exporter).\r\n\r\n### How to implement:\r\n* this dashboard assumes you are using Nvidia DCGM Exporter version 3.3.5-3.4.1-ubuntu22.04 or later. You can find an example [bootstrap script here](https://github.com/aws-samples/awsome-distributed-training/blob/main/1.architectures/5.sagemaker-hyperpod/LifecycleScripts/base-config/utils/install_dcgm_exporter.sh) which installs DCGM exporter and runs in a docker container.\r\n* For example of Prometheus + Grafana + Cluster Architecture, find here: https://github.com/aws-samples/awsome-distributed-training/tree/main/4.validation_and_observability/4.prometheus-grafana\r\n\r\n### About this dashboard\r\nThis dashboard displays metrics of common GPU errors including Uncorrectable Remapped Rows, Correctable Remapped Rows, XID Error Codes, Row Remap Failure, Thermal violations, and Missing GPUs (from Nvidia-SMI)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-08-06T01:37:15.000Z","updatedAt":"2024-08-06T01:41:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21646"},{"rel":"revisions","href":"/dashboards/21646/revisions"},{"rel":"revision","href":"/dashboards/21646/revisions/1"},{"rel":"download","href":"/dashboards/21646/revisions/1/download"},{"rel":"org","href":"/orgs/nghtm"},{"rel":"images","href":"/dashboards/21646/images"},{"rel":"thumbnails","href":"/dashboards/21646/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25274,"status":1,"statusCode":"active","orgId":1740116,"orgSlug":"ingero","orgName":"ingero","slug":"gpu-memcpy-bandwidth-h2d-d2h-d2d-latency-percentiles-multi-node","downloads":1,"revisionId":40705,"revision":1,"name":"GPU Memcpy Bandwidth: h2d / d2h / d2d, latency percentiles (multi-node)","description":"Multi-node CUDA memcpy bandwidth dashboard. Per-direction throughput (h2d, d2h, d2d, peer, default), per-direction latency p50/p95/p99 from per-event histogram. Surfaces data-pipeline bottlenecks (h2d-d2h skew = CPU-bound prep; d2d dominance = peer-copy hot path). eBPF uprobes on libcudart cudaMemcpy*.","readme":"## What this dashboard shows\r\n\r\nA multi-node CUDA memcpy bandwidth view, broken out by direction\r\n(`h2d`, `d2h`, `d2d`, `default`, `unknown`). Built for ML pipeline\r\nengineers debugging data-pipeline bottlenecks across a cluster.\r\n\r\nThe headline panels:\r\n\r\n- **Bandwidth per direction** - rate of `gpu_memcpy_bytes_total`\r\n  per direction. h2d-d2h skew = data-pipeline imbalance (CPU-bound\r\n  prep). d2d dominance = peer-copy or in-GPU shuffle hot path.\r\n- **p50 / p95 / p99 duration per direction** - per-event latency\r\n  percentiles from the `gpu_memcpy_duration_ms` histogram. Tail\r\n  latency surfaces transient contention; sustained p99 elevation\r\n  surfaces structural memcpy-shape problems.\r\n- **Heatmap (all directions)** - duration distribution over time.\r\n  Right-skewed clusters = tail latency. Bimodal clusters = two\r\n  distinct memcpy shapes interleaving.\r\n- **Per-direction summary table (1h)** - cumulative bytes + event\r\n  counts. Quick way to confirm which direction owns the volume.\r\n\r\nLinux only. amd64 + arm64 agents.\r\n\r\n## How the data is collected\r\n\r\nEach node runs the **Ingero agent** with the Prometheus exporter:\r\n\r\nsudo ingero trace --prometheus :9090\r\n\r\nThe agent attaches eBPF uprobes to libcudart `cudaMemcpy*` symbols\r\n(`cudaMemcpy`, `cudaMemcpyAsync`, `cudaMemcpy2D`, `cudaMemcpy2DAsync`,\r\n`cudaMemcpyPeer`, `cudaMemcpyPeerAsync`) at function entry + return.\r\nThe `cudaMemcpyKind` argument is read from the userspace register\r\nat uprobe entry to label the direction.\r\n\r\nTwo metric families per direction:\r\n\r\n- `gpu_memcpy_bytes_total{direction}` - cumulative bytes counter.\r\n  Sum-of-rates on this gives cluster-wide bandwidth.\r\n- `gpu_memcpy_duration_ms_{bucket,sum,count}{direction}` -\r\n  per-event histogram. `histogram_quantile()` over `rate(_bucket)`\r\n  gives accurate per-direction percentiles.\r\n\r\nThe 2D variants emit `direction=unknown` because `cudaMemcpyKind` is\r\n- `gpu_memcpy_duration_ms_{bucket,sum,count}{direction}` -\r\n  per-event histogram. `histogram_quantile()` over `rate(_bucket)`\r\n  gives accurate per-direction percentiles.\r\n\r\nThe 2D variants emit `direction=unknown` because `cudaMemcpyKind` is\r\nthe 7th parameter and not portably readable from BPF on amd64 + arm64.\r\n\r\nCluster aggregation comes from your Prometheus / Grafana Alloy /\r\nGrafana Cloud agent scraping all nodes, OR from pushing OTLP to the\r\nIngero Fleet collector and Echo store.\r\n\r\nInstall agent: https://github.com/ingero-io/ingero\r\nInstall Fleet: https://github.com/ingero-io/ingero-fleet\r\n\r\n## Why eBPF for memcpy\r\n\r\n`nvidia-smi` and DCGM-exporter expose throughput counters but no\r\nper-call duration. Ingero's libcudart uprobes capture every\r\nmemcpy at the function boundary, yielding per-event duration\r\n(not averaged) and per-event bytes counted at the call site.\r\nThe histogram exposition gives accurate percentiles via standard\r\n`histogram_quantile()` on Prometheus rather than averages.\r\n\r\n## Companion dashboards\r\n\r\n- **Cluster set** (multi-node aggregation): GPU Cluster Overview,\r\n  NCCL Stragglers, GPU Memory Fragmentation, Per-Node GPU\r\n  Drill-Down. All published under\r\n  https://grafana.com/orgs/ingero\r\n- **Single-host**: GPU Trace Overview, CUDA Op Profiler, GPU Data\r\n  Movement (memcpy + NCCL on one host), GPU Memory & Throttle.\r\n- **Fleet pipeline health**: the operator dashboard for the\r\n  Ingero Fleet collector itself (peer-relative median + MAD across\r\n  the cluster). Different metrics, different audience.\r\n\r\n## Source\r\n\r\n- Agent: https://github.com/ingero-io/ingero\r\n- Fleet collector: https://github.com/ingero-io/ingero-fleet\r\n- Dashboard JSON: https://github.com/ingero-io/ingero-fleet/tree/main/examples/grafana/cluster\r\n- License: Apache-2.0\r\n\r\nIssues, panel suggestions, dashboard PRs welcome on\r\nhttps://github.com/ingero-io/ingero-fleet/issues","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-05-10T13:13:55.000Z","updatedAt":"2026-05-20T17:21:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25274"},{"rel":"revisions","href":"/dashboards/25274/revisions"},{"rel":"revision","href":"/dashboards/25274/revisions/1"},{"rel":"download","href":"/dashboards/25274/revisions/1/download"},{"rel":"org","href":"/orgs/ingero"},{"rel":"images","href":"/dashboards/25274/images"},{"rel":"thumbnails","href":"/dashboards/25274/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25281,"status":1,"statusCode":"active","orgId":1740116,"orgSlug":"ingero","orgName":"ingero","slug":"gpu-memory-throttle-oom-thermal-power-debug-single-host","downloads":1,"revisionId":40712,"revision":1,"name":"GPU Memory & Throttle: OOM, thermal, power debug (single host)","description":"Single-host NVIDIA GPU resource state dashboard. Memory used/free/total/fragmentation, top PIDs by allocation, throttle bitmask + rising-edge event counters (power/thermal/sw/hw), experimental memfrag IOCTL counter. Why is my GPU running hot, throttled, or full?","readme":"## What this dashboard shows\r\n\r\nA single-host NVIDIA GPU resource state view. Memory used / free /\r\ntotal / fragmentation, top processes by allocation, throttle bitmask\r\n+ rising-edge event counters, plus an experimental memfrag IOCTL\r\ncounter when `--enable-experimental-kprobes` is on. Answer to:\r\n\"Why is my GPU running hot, throttled, or full?\"\r\n\r\nThe headline panels:\r\n\r\n**Memory section:**\r\n\r\n- **Memory used %** - aggregate across selected GPUs.\r\n- **Free memory** - bytes available right now.\r\n- **Fragmentation estimate** - heuristic: 1 - (largest free\r\n  block / total free). 0 = unfragmented; 1 = fully fragmented.\r\n  Average across selected GPUs.\r\n- **Local PIDs holding memory** - process count.\r\n- **Memory used vs total per GPU** - one line per GPU.\r\n- **Fragmentation estimate over time** - tracks alloc churn.\r\n  Spikes correlate with DataLoader rebuilds, optimizer state\r\n  shuffles, KV-cache resets.\r\n- **Top processes by allocated memory (table)**.\r\n- **IOCTL events by cmd (top 5, experimental)** - per-cmd rate\r\n  from the v0.15 memfrag kprobe (gated; empty when off).\r\n\r\n**Throttle section:**\r\n\r\n- **Throttle active right now?** - sum across all 4 buckets.\r\n- **Power / Thermal / HW events / 5m** - rising-edge counters.\r\n- **Throttle bitmask per GPU** - which bucket is active. Concurrent\r\n  active = compound throttle (e.g. power + thermal under sustained\r\n  load).\r\n- **Throttle event-edge rate per bucket** - rate-of-rising-edge\r\n  per bucket type.\r\n\r\nLinux only. amd64 + arm64.\r\n\r\n## How the data is collected\r\n\r\n**Install the Ingero agent:**\r\n\r\n```\r\ncurl -sSL https://github.com/ingero-io/ingero/releases/latest/download/install.sh | bash\r\n```\r\n\r\n**Run with Prometheus exporter (production metrics):**\r\n\r\n```\r\nsudo ingero trace --prometheus :9090\r\n```\r\n\r\n**Run with experimental kprobes enabled (memfrag IOCTL counter):**\r\n\r\n```\r\nsudo ingero trace --enable-experimental-kprobes --prometheus :9090\r\n```\r\n\r\n**Scrape and import:**\r\n\r\nScrape `:9090/metrics` from your Prometheus / Grafana Alloy /\r\nGrafana Cloud agent. Import this dashboard, pick your Prometheus\r\ndatasource.\r\n\r\n### Production metrics\r\n\r\nNVML / `nvidia-smi` polls every `--memfrag-poll-interval` (default\r\n10s) and every `--throttle-poll-interval` (default 5s):\r\n\r\n- `gpu_memory_used_bytes` (per gpu_uuid label)\r\n- `gpu_memory_free_bytes`\r\n- `gpu_memory_total_bytes`\r\n- `gpu_memory_fragmentation_estimate` (heuristic)\r\n- `gpu_memory_process_allocated_bytes` (per gpu_uuid + pid)\r\n- `gpu_throttle_power_active` / `_thermal_active` / `_sw_active`\r\n  / `_hw_active` (per gpu_uuid; gauge 0/1)\r\n- `gpu_throttle_power_event_total` / `_thermal_event_total`\r\n  / `_sw_event_total` / `_hw_event_total` (rising-edge counters)\r\n\r\n### Experimental metrics\r\n\r\nGated behind `--enable-experimental-kprobes`. The agent reads the\r\nrunning NVIDIA driver version + kernel version and only loads the\r\nmemfrag IOCTL kprobe when the pair is on its allowlist. Off-list\r\nhosts surface a startup warning and the experimental panel stays\r\nempty.\r\n\r\n- `gpu_memfrag_ioctl_event_total` (per cmd label) - one ringbuf\r\n  event per `nvidia_unlocked_ioctl` invocation; cmd is the raw\r\n  IOCTL command code.\r\n\r\nDecode cmd values against open-gpu-kernel-modules\r\nnv-ioctl-numbers.h and nvos.h:\r\nhttps://github.com/NVIDIA/open-gpu-kernel-modules/blob/main/kernel-open/common/inc/nv-ioctl-numbers.h\r\n\r\n## How to read the heuristic + edge counters\r\n\r\nThe fragmentation estimate is a coarse signal. Values above ~0.6\r\nacross multiple sequential polls usually correlate with alloc /\r\nfree churn (DataLoader workers, KV-cache reset, mixed-size\r\nallocator pressure). For the actual allocator-level signal,\r\nturn on `--enable-experimental-kprobes` and watch the IOCTL panel.\r\n\r\nThe throttle event-edge counters are rising-edge: each transition\r\nfrom \"not throttled\" to \"throttled\" increments the bucket counter\r\nonce. Sub-poll bursts shorter than `--throttle-poll-interval` are\r\nstill missed by design.\r\n\r\n## Companion dashboards\r\n\r\n- **Single-host set** (this set): GPU Trace Overview (#25277),\r\n  CUDA Op Profiler (#25278), GPU Data Movement (#25280),\r\n  GPU Memory & Throttle (this one).\r\n- **Multi-node cluster set**: GPU Cluster Overview (#25271),\r\n  NCCL Stragglers (#25273), GPU Memcpy Bandwidth (#25274),\r\n  GPU Memory Fragmentation (#25275), Per-Node Drill-Down (#25276).\r\n- **Fleet pipeline health**: operator dashboard for the\r\n  Ingero Fleet collector itself.\r\n\r\nAll published under https://grafana.com/orgs/ingero\r\n\r\n## Source\r\n\r\n- Agent: https://github.com/ingero-io/ingero\r\n- Dashboard JSON: https://github.com/ingero-io/ingero/tree/main/examples/grafana/single-node\r\n- License: Apache-2.0\r\n\r\nIssues, panel suggestions, dashboard PRs welcome on\r\nhttps://github.com/ingero-io/ingero/issues","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-05-10T13:41:54.000Z","updatedAt":"2026-05-20T17:22:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25281"},{"rel":"revisions","href":"/dashboards/25281/revisions"},{"rel":"revision","href":"/dashboards/25281/revisions/1"},{"rel":"download","href":"/dashboards/25281/revisions/1/download"},{"rel":"org","href":"/orgs/ingero"},{"rel":"images","href":"/dashboards/25281/images"},{"rel":"thumbnails","href":"/dashboards/25281/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25275,"status":1,"statusCode":"active","orgId":1740116,"orgSlug":"ingero","orgName":"ingero","slug":"gpu-memory-fragmentation-oom-on-half-full-gpu-debug-multi-node","downloads":4,"revisionId":40706,"revision":1,"name":"GPU Memory Fragmentation: OOM on half-full GPU debug (multi-node)","description":"Multi-node NVIDIA GPU memory fragmentation dashboard. Per-GPU used/free/total, fragmentation estimate (heuristic), top processes by allocation, IOCTL event volume per cmd code (experimental kprobe on nvidia_unlocked_ioctl). For OOM-on-half-full-GPU debugging across the cluster.","readme":"## What this dashboard shows\r\n\r\nA multi-node NVIDIA GPU memory fragmentation view. For the\r\n\"my GPU is half-empty but allocations fail\" debugging case across\r\na cluster.\r\n\r\nThe headline panels:\r\n\r\n- **Avg fragmentation estimate** - across selected GPUs. Heuristic:\r\n  `1 - (largest free block / total free)`. 0 = unfragmented;\r\n  1 = fully fragmented.\r\n- **Free memory + fragmentation per GPU** - time series. Spikes\r\n  correlate with alloc churn (DataLoader rebuilds, optimizer\r\n  state shuffles, KV-cache reset).\r\n- **IOCTL events / sec** + **distinct cmd codes** - aggregate\r\n  signal from the experimental memfrag IOCTL kprobe. Higher rate\r\n  + more diverse cmd codes = more memory operations underway.\r\n- **Top 10 IOCTL events by cmd** - per-cmd time series. Decode\r\n  cmd values against `nv-ioctl-numbers.h` and `nvos.h` from\r\n  NVIDIA's `open-gpu-kernel-modules` repo to map raw codes to\r\n  RM operation kinds.\r\n- **Top 10 processes by allocated memory** - from\r\n  `gpu_memory_process_allocated_bytes`.\r\n\r\nLinux only. amd64 + arm64 agents.\r\n\r\n## How the data is collected\r\n\r\nTwo metric families feed this dashboard:\r\n\r\n### Production (always emitted)\r\n\r\nNVML / `nvidia-smi --query-gpu` polls every\r\n`--memfrag-poll-interval` (default 10s):\r\n\r\n- `gpu_memory_used_bytes{gpu_uuid}` / `_free_bytes` / `_total_bytes`\r\n- `gpu_memory_fragmentation_estimate{gpu_uuid}` (heuristic)\r\n- `gpu_memory_process_allocated_bytes{gpu_uuid,pid}` (from\r\n  `nvidia-smi --query-compute-apps`)\r\n\r\n### Experimental (gated behind `--enable-experimental-kprobes`)\r\n\r\nPer-cmd nvidia driver IOCTL counter:\r\n\r\n- `gpu_memfrag_ioctl_event_total{cmd}`\r\n\r\nBacked by an eBPF kprobe attached to `nvidia_unlocked_ioctl` in\r\nthe closed NVIDIA driver. Emits one ringbuf event per IOCTL\r\ninvocation; the `cmd` arg is recorded raw. Only loads when the\r\nrunning NVIDIA driver + Linux kernel pair is on\r\n`internal/kprobe.DefaultAllowlist`. Off-allowlist hosts surface\r\na startup warning and the experimental panels stay empty.\r\n\r\nBoot the agent:\r\n\r\nsudo ingero trace --enable-experimental-kprobes --prometheus :9090\r\n\r\nCluster aggregation via Prometheus / Grafana Alloy / Grafana Cloud\r\nscrape, OR via OTLP push to the Ingero Fleet collector + Echo store.\r\n\r\nInstall agent: https://github.com/ingero-io/ingero\r\nInstall Fleet: https://github.com/ingero-io/ingero-fleet\r\n\r\n## How to read the heuristic\r\n\r\nThe fragmentation estimate is a coarse signal. 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Omni-Path.\n\n[https://www.yaoge123.com/blog/archives/2709](https://www.yaoge123.com/blog/archives/2709)","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-02-19T13:45:18.000Z","updatedAt":"2020-02-22T04:03:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11752"},{"rel":"revisions","href":"/dashboards/11752/revisions"},{"rel":"revision","href":"/dashboards/11752/revisions/5"},{"rel":"download","href":"/dashboards/11752/revisions/5/download"},{"rel":"org","href":"/orgs/yaoge123"},{"rel":"images","href":"/dashboards/11752/images"},{"rel":"thumbnails","href":"/dashboards/11752/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20243,"status":1,"statusCode":"active","orgId":650279,"orgSlug":"elkowar","orgName":"elkowar","slug":"gpu-overview","downloads":348,"revisionId":31177,"revision":1,"name":"GPU 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Visit these sites, as well as github.com/intelsdi/snap, to learn more.\r\n\r\nFind the Snap task here: https://github.com/NichelleBot/Snap-Grafana","collectorType":"Snap","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2016-07-25T16:48:14.000Z","updatedAt":"2016-07-25T18:51:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/252"},{"rel":"revisions","href":"/dashboards/252/revisions"},{"rel":"revision","href":"/dashboards/252/revisions/1"},{"rel":"download","href":"/dashboards/252/revisions/1/download"},{"rel":"org","href":"/orgs/nichellebot"},{"rel":"images","href":"/dashboards/252/images"},{"rel":"thumbnails","href":"/dashboards/252/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14490,"status":1,"statusCode":"active","orgId":352245,"orgSlug":"mjseaman","orgName":"mjseaman","slug":"grafana-active-users","downloads":1098,"revisionId":21450,"revision":3,"name":"Grafana active users","description":"","readme":"This dashboard is based on Grafana audit logging data hosted in Loki. It shows the number of active users in Grafana by the user's licensed role (Viewer or Editor/Admin).\n\nThis dashboard only applies to Grafana Enterprise, and it relies on [audit logs exported to Loki](https://grafana.com/docs/grafana/latest/enterprise/auditing/).\n\nImportant: this dashboard does not account for users that have been deleted from Grafana, which might lead to some discrepancies between this information and the information on the Licensing page in Grafana. In those cases, the Licensing page is correct.\n\nSee more information on licensing in the [Grafana docs](https://grafana.com/docs/grafana/latest/enterprise/license/license-restrictions/).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2021-05-25T12:02:45.000Z","updatedAt":"2021-05-25T12:28:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14490"},{"rel":"revisions","href":"/dashboards/14490/revisions"},{"rel":"revision","href":"/dashboards/14490/revisions/3"},{"rel":"download","href":"/dashboards/14490/revisions/3/download"},{"rel":"org","href":"/orgs/mjseaman"},{"rel":"images","href":"/dashboards/14490/images"},{"rel":"thumbnails","href":"/dashboards/14490/thumbnails"}],"datasourceSlugs":["loki"]},{"id":14365,"status":1,"statusCode":"active","orgId":491503,"orgSlug":"onsails","orgName":"onsails","slug":"grafana-agent-node-exporter-quickstart","downloads":540,"revisionId":21195,"revision":2,"name":"Grafana Agent Node Exporter Quickstart","description":"A quickstart to setup Prometheus Node Exporter with preconfigured dashboards, alerting rules, and recording rules.","readme":"### To use this dashboard, please follow [Grafana Agent Docs](https://github.com/grafana/agent/blob/main/docs/getting-started.md) to monitor your Linux nodes by setting up Node Exporter integration for Grafana Agent with preconfigured dashboards, alerting rules, and recording rules.\n---\nThis dashboard includes panels for the following metrics:\n\n* CPU Usage\n* Load Average\n* Memory Usage\n* Disk I/O\n* Disk Usage\n* Network Received\n* Network Transmitted\n\nThis dashboard is adapted from the original [Node Exporter Quickstart](https://grafana.com/grafana/dashboards/13978?pg=dashboards&plcmt=featured-sub1). 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Dashboard for Cloudflare Analytics and Overview","description":"Grafana Dashboard for Cloudflare - Pulls out all the Cloudflare Information, and Analytics from the GraphQL API.","readme":"Just download the latest Cloudflare script version from GitHub [https://raw.githubusercontent.com/jorgedlcruz/cloudflare-grafana/master/cloudflare-analytics.sh](https://raw.githubusercontent.com/jorgedlcruz/cloudflare-grafana/master/cloudflare-analytics.sh) and change the Configuration section within your details:\n\n```\n##\n# Configurations\n##\n# Endpoint URL for InfluxDB\nInfluxDBURL=\"YOURINFLUXSERVERIP\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL\nInfluxDBPort=\"8086\" #Default Port\nInfluxDB=\"telegraf\" #Default Database\nInfluxDBUser=\"USER\" #User for Database\nInfluxDBPassword=\"PASSWORD\" #Password for Database\n\n# Endpoint URL for login action\ncloudflareapikey=\"YOURAPIKEY\"\ncloudflarezone=\"YOURZONEID\"\ncloudflareemail=\"YOUREMAIL\"\n\n``` \nOnce the changes are done, make the script executable with chmod:\n```\nchmod +x cloudflare-analytics.sh\n``` \nThe output of the command should be something like the next, without errors:\n```\nHTTP/1.1 204 No Content\nContent-Type: application/json\nRequest-Id: b084ba16-8622-11ea-8dbc-0050569002da\nX-Influxdb-Build: OSS\nX-Influxdb-Version: 1.7.10\nX-Request-Id: b084ba16-8622-11ea-8dbc-0050569002da\nDate: Fri, 24 Apr 2020 11:56:53 GMT\n``` \nIf so, please now add this script to your crontab, like for example everyday at 9am:\n```\n0 9 * * * /home/oper/cloudflare-analytics.sh >> /var/log/cloudflare.log 2>&1\n``` \n\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\n![alt 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Overview","description":"Grafana Dashboard for Cloudflare - Pulls out all the Cloudflare Information, and Analytics from the RESTful API.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-05-31T00:09:57.000Z","updatedAt":"2024-05-31T00:10:40.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21181"},{"rel":"revisions","href":"/dashboards/21181/revisions"},{"rel":"revision","href":"/dashboards/21181/revisions/1"},{"rel":"download","href":"/dashboards/21181/revisions/1/download"},{"rel":"org","href":"/orgs/danielalreto"},{"rel":"images","href":"/dashboards/21181/images"},{"rel":"thumbnails","href":"/dashboards/21181/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12961,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-hpe-storeonce","downloads":531,"revisionId":18752,"revision":2,"name":"Grafana Dashboard for HPE StoreOnce","description":"Grafana Dashboard for Veeam Backup for HPE StoreOnce RESTful API","readme":"Just download the latest HPE StoreOnce script version from GitHub [https://raw.githubusercontent.com/jorgedlcruz/hpe-storeonce-grafana/master/hpe_storeonce_grafana.sh](https://raw.githubusercontent.com/jorgedlcruz/hpe-storeonce-grafana/master/hpe_storeonce_grafana.sh) and change the Configuration section within your details:\n\n```\n##\n# Configurations\n##\n# Endpoint URL for InfluxDB\nInfluxDBURL=\"http://YOURINFLUXSERVER\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL\nInfluxDBPort=\"8086\" #Default Port\nInfluxDB=\"telegraf\" #Default Database\nInfluxDBUser=\"INFLUXUSER\" #User for Database\nInfluxDBPassword='INFLUXPASS' #Password for Database\n\n# Endpoint URL for login action\nstoreonceUsername=\"HPEUSERNAME\" #Your username, if using domain based account, please add it like user@domain.com (if you use domain\\account it is not going to work!)\nstoreoncePassword='HPEPASS'\nstoreonceRestServer=\"https://STOREONCEFQDNORIP\"\nstoreonceRestPort=\"443\" #Default Port\n``` \nOnce the changes are done, make the script executable with chmod:\n```\nchmod +x hpe_storeonce_grafana.sh\n``` \nThe output of the command should be something like the next, without errors:\n```\nWriting hpe_storeonce_catalyst to InfluxDB\nHTTP/1.1 204 No Content\nContent-Type: application/json\nRequest-Id: ee61e4fc-f0ef-11ea-ae93-dca632b112f7\nX-Influxdb-Build: OSS\nX-Influxdb-Version: 1.8.2\nX-Request-Id: ee61e4fc-f0ef-11ea-ae93-dca632b112f7\nDate: Mon, 07 Sep 2020 09:53:07 GMT\n``` \nIf so, please now add this script to your crontab, like for example every 30 minutes:\n```\n*/30 * * * * * /home/oper/hpe_storeonce_grafana.sh >> /var/log/hpe_storeonce_grafana.log 2>&1\n``` \n\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\n![alt tag](https://www.jorgedelacruz.es/wp-content/uploads/2020/09/grafana-hpestoreonce-001.png)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-09-07T11:33:40.000Z","updatedAt":"2020-09-07T11:37:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12961"},{"rel":"revisions","href":"/dashboards/12961/revisions"},{"rel":"revision","href":"/dashboards/12961/revisions/2"},{"rel":"download","href":"/dashboards/12961/revisions/2/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/12961/images"},{"rel":"thumbnails","href":"/dashboards/12961/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17240,"status":1,"statusCode":"active","orgId":730259,"orgSlug":"rcouch","orgName":"rcouch","slug":"grafana-dashboard-for-microsoft-azure-storage","downloads":565,"revisionId":26478,"revision":1,"name":"Grafana Dashboard for Microsoft Azure Storage","description":"Grafana Dashboard for Microsoft Azure Storage, using native Azure Monitor included in Grafana 6.0","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2022-10-21T08:30:13.000Z","updatedAt":"2022-10-21T08:30:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17240"},{"rel":"revisions","href":"/dashboards/17240/revisions"},{"rel":"revision","href":"/dashboards/17240/revisions/1"},{"rel":"download","href":"/dashboards/17240/revisions/1/download"},{"rel":"org","href":"/orgs/rcouch"},{"rel":"images","href":"/dashboards/17240/images"},{"rel":"thumbnails","href":"/dashboards/17240/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":14179,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-netapp-ontap-v9-8","downloads":1616,"revisionId":20867,"revision":3,"name":"Grafana Dashboard for NetApp ONTAP v9.8+","description":"Grafana Dashboard for NetApp ONTAP v9.8+","readme":"Just download the latest NetApp ONTAP script version from GitHub [https://raw.githubusercontent.com/jorgedlcruz/netapp_ontap-grafana/main/netapp_ontap.sh](https://raw.githubusercontent.com/jorgedlcruz/netapp_ontap-grafana/main/netapp_ontap.sh) and change the Configuration section within your details:\n\n```\n##\n# Configurations\n##\nnetappInfluxDBURL=\"http://YOURINFLUXSERVERIP\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL\nnetappInfluxDBPort=\"8086\" #Default Port\nnetappInfluxDB=\"telegraf\" #Default Database\nnetappInfluxDBUser=\"USER\" #User for Database\nnetappInfluxDBPassword='PASSWORD' #Password for Database\n\n# Endpoint URL for login action\nnetappUsername=\"YOURONTAPUSER\" #Your username with privileges to login into the ONTAP\nnetappPassword='YOURONTAPPASSWORD'\nnetappAuth=$(echo -ne \"$netappUsername:$netappPassword\" | base64);\nnetappRestServer=\"YOURONTAPSERVER\"\nnetappMetrics=\"20\" #They came in interval of 15 seconds, so 20 will be equal to the metrics of the last 5 minutes. If you want to run your script every 5 minutes, let it like this, if not, change it accordingly.\n\n``` \nOnce the changes are done, make the script executable with chmod:\n```\nchmod +x netapp_ontap.sh\n``` \nThe output of the command should be something like the next, without errors:\n```\nWriting netapp_cluster_metrics to InfluxDB\nHTTP/1.1 204 No Content\nContent-Type: application/json\nRequest-Id: c5a36e57-95a5-11eb-a1dd-0050569017a8\nX-Influxdb-Build: OSS\nX-Influxdb-Version: 1.8.4\nX-Request-Id: c5a36e57-95a5-11eb-a1dd-0050569017a8\nDate: Mon, 05 Apr 2021 00:27:58 GMT\n\nWriting netapp_cluster_metrics to InfluxDB\nHTTP/1.1 204 No Content\nContent-Type: application/json\nRequest-Id: c5eab0fa-95a5-11eb-a1de-0050569017a8\nX-Influxdb-Build: OSS\nX-Influxdb-Version: 1.8.4\nX-Request-Id: c5eab0fa-95a5-11eb-a1de-0050569017a8\nDate: Mon, 05 Apr 2021 00:27:58 GMT\n``` \nIf so, please now add this script to your crontab, like for example every 5 minutes:\n```\n*/5 * * * * * /home/oper/netapp_ontap.sh >> /var/log/netapp.log 2>&1\n``` \nCheck now that you can see all the new data on your Chronograf, or Grafana Explorer.\n\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\n![alt tag](https://www.jorgedelacruz.es/wp-content/uploads/2021/04/2021-04-04_0-09-30.png)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-04-05T00:35:11.000Z","updatedAt":"2021-04-07T14:34:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14179"},{"rel":"revisions","href":"/dashboards/14179/revisions"},{"rel":"revision","href":"/dashboards/14179/revisions/3"},{"rel":"download","href":"/dashboards/14179/revisions/3/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/14179/images"},{"rel":"thumbnails","href":"/dashboards/14179/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22867,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-open-webui","downloads":2385,"revisionId":36590,"revision":2,"name":"Grafana Dashboard for Open WebUI","description":"A complete, opensource dashboard that shows consumption and usage of Open WebUI.","readme":"This dashboard contains multiples sections with the goal to monitor a full Open WebUI and the LLM models that run locally.\r\n\r\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2025/02/openwebui-grafana-001.jpg)\r\n\r\nDashboard – Summary\r\n* Quick overview (Models used, Total prompt tokens, Average Token/s, Average duration)\r\n* Total usage by model\r\n* Model usage historical per model\r\n* Total usage historical\r\n* Prompt Tokens per second historical\r\n* Response Tokens per second historical\r\n* Average response duration historical","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-02-15T16:49:08.000Z","updatedAt":"2025-03-22T22:54:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22867"},{"rel":"revisions","href":"/dashboards/22867/revisions"},{"rel":"revision","href":"/dashboards/22867/revisions/2"},{"rel":"download","href":"/dashboards/22867/revisions/2/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/22867/images"},{"rel":"thumbnails","href":"/dashboards/22867/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24225,"status":1,"statusCode":"active","orgId":1555359,"orgSlug":"plesetsk","orgName":"plesetsk","slug":"grafana-dashboard-for-open-webui","downloads":157,"revisionId":38628,"revision":1,"name":"Grafana Dashboard for Open WebUI","description":"A complete, opensource dashboard that shows consumption and usage of Open WebUI.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-10-08T19:27:31.000Z","updatedAt":"2025-10-08T19:28:02.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24225"},{"rel":"revisions","href":"/dashboards/24225/revisions"},{"rel":"revision","href":"/dashboards/24225/revisions/1"},{"rel":"download","href":"/dashboards/24225/revisions/1/download"},{"rel":"org","href":"/orgs/plesetsk"},{"rel":"images","href":"/dashboards/24225/images"},{"rel":"thumbnails","href":"/dashboards/24225/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14213,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-runecast","downloads":332,"revisionId":20906,"revision":2,"name":"Grafana Dashboard for Runecast","description":"Grafana Dashboard for Runecast","readme":"Just download the latest Runecast script version from GitHub [https://raw.githubusercontent.com/jorgedlcruz/runecast-grafana/main/runecast_grafana.sh](https://raw.githubusercontent.com/jorgedlcruz/runecast-grafana/main/runecast_grafana.sh) and change the Configuration section within your details:\n\n```\n##\n# Configurations\n##\n# Endpoint URL for InfluxDB\nInfluxDBURL=\"http://YOURINFLUXSERVER\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL\nInfluxDBPort=\"8086\" #Default Port\nInfluxDB=\"telegraf\" #Default Database\nInfluxDBUser=\"INFLUXUSER\" #User for Database\nInfluxDBPassword='INFLUXPASS' #Password for Database\n\n# Endpoint URL for login action\nrunecastToken=\"RUNECASTOTKEN\" #Your read-only Runecast token. You can quickly create one from the portal\nrunecastServer=\"RUNECASTFQDNORIP\"\n``` \nOnce the changes are done, make the script executable with chmod:\n```\nchmod +x runecast_grafana.sh\n``` \nThe output of the command should be something like the next, without errors:\n```\nWriting runecast_results_analysis to InfluxDB\nHTTP/1.1 204 No Content\nContent-Type: application/json\nRequest-Id: 6cc3cc65-9b71-11eb-8794-0050569017a8\nX-Influxdb-Build: OSS\nX-Influxdb-Version: 1.8.4\nX-Request-Id: 6cc3cc65-9b71-11eb-8794-0050569017a8\nDate: Mon, 12 Apr 2021 09:28:22 GMT\n\nWriting runecast_results_analysis to InfluxDB\nHTTP/1.1 204 No Content\nContent-Type: application/json\nRequest-Id: 6ce92985-9b71-11eb-8795-0050569017a8\nX-Influxdb-Build: OSS\nX-Influxdb-Version: 1.8.4\nX-Request-Id: 6ce92985-9b71-11eb-8795-0050569017a8\nDate: Mon, 12 Apr 2021 09:28:22 GMT\n``` \nIf so, please now add this script to your crontab, like for example every 30 minutes:\n```\n0 0 */6 ? * * /home/oper/runecast_grafana.sh >> /var/log/runecast_grafana.log 2>&1\n``` \n\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\n![alt tag](https://www.jorgedelacruz.es/wp-content/uploads/2021/04/runecast-001.png)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-04-12T09:34:41.000Z","updatedAt":"2021-04-12T14:35:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14213"},{"rel":"revisions","href":"/dashboards/14213/revisions"},{"rel":"revision","href":"/dashboards/14213/revisions/2"},{"rel":"download","href":"/dashboards/14213/revisions/2/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/14213/images"},{"rel":"thumbnails","href":"/dashboards/14213/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15997,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-user-audit-vb365","downloads":402,"revisionId":24280,"revision":1,"name":"Grafana Dashboard for User Audit VB365","description":"Grafana Dashboard for User Audit for Restore Portal of Veeam Backup for Microsoft 365","readme":"Just download the latest required script version from GitHub [https://raw.githubusercontent.com/jorgedlcruz/veeam-backup-restore-portal-audit/main/veeam_microsoft365_audit.sh](https://raw.githubusercontent.com/jorgedlcruz/veeam-backup-restore-portal-audit/main/veeam_microsoft365_audit.sh) and change the Configuration section within your details:\r\n\r\n```\r\n##\r\n# Configurations\r\n##\r\n# Endpoint URL for InfluxDB\r\nveeamInfluxDBURL=\"http://YOURINFLUXSERVERIP\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL\r\nveeamInfluxDBPort=\"8086\" #Default Port\r\nveeamInfluxDBBucket=\"veeam\" # InfluxDB bucket name (not ID)\r\nveeamInfluxDBToken=\"TOKEN\" # InfluxDB access token with read/write privileges for the bucket\r\nveeamInfluxDBOrg=\"ORG NAME\" # InfluxDB organisation name (not ID)\r\n\r\n# Endpoint Configuration for Azure AD\r\nApplicationID=\"YOURAPPLICATIONID\" # You can find these on your VB365 Server, on the Restore Portal, or in Azure\r\nTenatDomainName=\"YOURTENANTDOMAINNAME\" # Easy to find this on the next URL - https://portal.azure.com/#blade/Microsoft_AAD_IAM/TenantPropertiesBlade\r\nAccessSecret=\"YOURACCESSSECRET\" # Create a new Client secret under your Veeam Restore Portal App registrations in Azure\r\n``` \r\nOnce the changes are done, make the script executable with chmod:\r\n```\r\nchmod +x veeam_microsoft365_audit.sh\r\n``` \r\nThe output of the command should be something like the next, without errors:\r\n```\r\nWriting veeam_microsoft365_auditPolicy to InfluxDB\r\nHTTP/2 204 \r\nx-influxdb-build: OSS\r\nx-influxdb-version: 2.1.1\r\ndate: Wed, 15 Dec 2021 16:14:56 GMT\r\n``` \r\nIf so, please now add this script to your crontab, like for example every 30 minutes:\r\n```\r\n*/30 * * * * /home/oper/veeam_microsoft365_audit.sh >> /var/log/veeam_microsoft365_audit.log 2>&1\r\n``` \r\n\r\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\r\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2022/03/veeam-microsoft-365-audit-001.jpg)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-03-29T15:59:52.000Z","updatedAt":"2022-03-31T18:34:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15997"},{"rel":"revisions","href":"/dashboards/15997/revisions"},{"rel":"revision","href":"/dashboards/15997/revisions/1"},{"rel":"download","href":"/dashboards/15997/revisions/1/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/15997/images"},{"rel":"thumbnails","href":"/dashboards/15997/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9690,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-veeam-availability-console-sp-overview","downloads":578,"revisionId":13461,"revision":1,"name":"Grafana Dashboard for Veeam Availability Console - SP Overview","description":"Grafana Dashboard for Veeam Availability Console - SP Overview","readme":"Just download the latest Veeam Availability Console script version from GitHub [https://github.com/jorgedlcruz/veeam-availability-console-grafana/blob/master/veeam-availability-console-script.sh](https://github.com/jorgedlcruz/veeam-availability-console-grafana/blob/master/veeam-availability-console-script.sh) and change the Configuration section within your details:\n\n```\n##\n# Configurations\n##\n# Endpoint URL for InfluxDB\nInfluxDBURL=\"YOURINFLUXDB\"\nInfluxDBPort=\"8086\" #Default Port\nInfluxDB=\"telegraf\" #Default Database\n\n# Endpoint URL for login action\nUsername=\"YOURVACUSER\"\nPassword=\"YOURVACPASSWORD\"\nRestServer=\"YOURVACURL\"\nRestPort=\"1281\" #Default Port\n``` \nOnce the changes are done, make the script executable with chmod:\n```\nchmod +x veeam_availability-console-grafana.sh\n``` \nThe output of the command should be something like the next, without errors:\n```\nHTTP/1.1 204 No Content\nContent-Type: application/json\nRequest-Id: 3565d5b6-011d-11e9-81c7-000000000000\nX-Influxdb-Build: OSS\nX-Influxdb-Version: 1.6.3\nX-Request-Id: 3565d5b6-011d-11e9-81c7-000000000000\nDate: Sun, 16 Dec 2018 10:27:37 GM\n``` \nIf so, please now add this script to your crontab, like for example every 30 minutes:\n```\n*/30 * * * * * /home/oper/veeam_availability-console-grafana.sh >> /var/log/veeamvbo.log 2>&1\n``` \nCheck now that you can see all the new data on your Chronograf:\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2019/01/veeam-vac-grafana-004.png)\n\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2018/12/Grafana-Veeam-Backup-for-Microsoft-Office-365-002.png)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-01-18T13:41:14.000Z","updatedAt":"2019-01-18T13:45:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9690"},{"rel":"revisions","href":"/dashboards/9690/revisions"},{"rel":"revision","href":"/dashboards/9690/revisions/1"},{"rel":"download","href":"/dashboards/9690/revisions/1/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/9690/images"},{"rel":"thumbnails","href":"/dashboards/9690/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9691,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-veeam-availability-console-tenant-overview","downloads":456,"revisionId":13462,"revision":1,"name":"Grafana Dashboard for Veeam Availability Console - Tenant Overview","description":"Grafana Dashboard for Veeam Availability Console - Tenant Overview","readme":"Just download the latest Veeam Availability Console script version from GitHub [https://github.com/jorgedlcruz/veeam-availability-console-grafana/blob/master/veeam-availability-console-script.sh](https://github.com/jorgedlcruz/veeam-availability-console-grafana/blob/master/veeam-availability-console-script.sh) and change the Configuration section within your details:\n\n```\n##\n# Configurations\n##\n# Endpoint URL for InfluxDB\nInfluxDBURL=\"YOURINFLUXDB\"\nInfluxDBPort=\"8086\" #Default Port\nInfluxDB=\"telegraf\" #Default Database\n\n# Endpoint URL for login action\nUsername=\"YOURVACUSER\"\nPassword=\"YOURVACPASSWORD\"\nRestServer=\"YOURVACURL\"\nRestPort=\"1281\" #Default Port\n``` \nOnce the changes are done, make the script executable with chmod:\n```\nchmod +x veeam_availability-console-grafana.sh\n``` \nThe output of the command should be something like the next, without errors:\n```\nHTTP/1.1 204 No Content\nContent-Type: application/json\nRequest-Id: 3565d5b6-011d-11e9-81c7-000000000000\nX-Influxdb-Build: OSS\nX-Influxdb-Version: 1.6.3\nX-Request-Id: 3565d5b6-011d-11e9-81c7-000000000000\nDate: Sun, 16 Dec 2018 10:27:37 GM\n``` \nIf so, please now add this script to your crontab, like for example every 30 minutes:\n```\n*/30 * * * * * /home/oper/veeam_availability-console-grafana.sh >> /var/log/veeamvbo.log 2>&1\n``` \nCheck now that you can see all the new data on your Chronograf:\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2019/01/veeam-vac-grafana-004.png)\n\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2018/12/Grafana-Veeam-Backup-for-Microsoft-Office-365-002.png)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-01-18T13:46:18.000Z","updatedAt":"2019-01-18T13:46:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9691"},{"rel":"revisions","href":"/dashboards/9691/revisions"},{"rel":"revision","href":"/dashboards/9691/revisions/1"},{"rel":"download","href":"/dashboards/9691/revisions/1/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/9691/images"},{"rel":"thumbnails","href":"/dashboards/9691/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18854,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-veeam-backup-replication","downloads":2773,"revisionId":35487,"revision":6,"name":"Grafana Dashboard for Veeam Backup & Replication","description":"Grafana Dashboard for Veeam Backup & Replication REST API.","readme":"**Attention - This Dashboard has been built for InfluxDB v2.0 using Flux**\r\n\r\n**Requires Veeam Enterprise Plus or VUL licensing**\r\n\r\nJust download the latest Veeam Enterprise Manager script version from GitHub [https://raw.githubusercontent.com/jorgedlcruz/veeam-backup-and-replication-grafana/main/veeam_backup_and_replication.sh](https://raw.githubusercontent.com/jorgedlcruz/veeam-backup-and-replication-grafana/main/veeam_backup_and_replication.sh) and change the Configuration section within your details:\r\n\r\n```\r\n##\r\n# Configurations\r\n##\r\n# Endpoint URL for InfluxDB\r\nveeamInfluxDBURL=\"http://YOURINFLUXSERVERIP\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL\r\nveeamInfluxDBPort=\"8086\" #Default Port\r\nveeamInfluxDBBucket=\"veeam\" # InfluxDB bucket name (not ID)\r\nveeamInfluxDBToken=\"TOKEN\" # InfluxDB access token with read/write privileges for the bucket\r\nveeamInfluxDBOrg=\"ORG NAME\" # InfluxDB organisation name (not ID)\r\n\r\n# Endpoint URL for login action\r\nveeamJobSessions=\"1000\"\r\nveeamUsername=\"YOURVBRUSER\"\r\nveeamPassword=\"YOURVBRPASSWORD\"\r\nveeamBackupServer=\"YOURVBRAPIPORT\"\r\nveeamBackupPort=\"9419\" #Default Port\r\n\r\n``` \r\nOnce the changes are done, make the script executable with chmod:\r\n```\r\nchmod +x veeam_backup_and_replication.sh\r\n``` \r\nThe output of the command should be something like the next, without errors:\r\n```\r\nWriting veeam_vbr_info to InfluxDB\r\nWriting veeam_vbr_sessions to InfluxDB\r\nWriting veeam_vbr_sessions to InfluxDB\r\nWriting veeam_vbr_sessions to InfluxDB\r\nWriting veeam_vbr_sessions to InfluxDB\r\nWriting veeam_vbr_sessions to InfluxDB\r\nWriting veeam_vbr_sessions to InfluxDB\r\n``` \r\nIf so, please now add this script to your crontab, like for example every 30 minutes:\r\n```\r\n*/30 * * * * * /home/oper/veeam_backup_and_replication.sh >> /var/log/veeam_backup_and_replication.log 2>&1\r\n``` \r\n\r\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\r\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2023/05/grafana-veeam-api-001-1.jpg)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-05-31T11:25:18.000Z","updatedAt":"2024-12-19T19:49:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18854"},{"rel":"revisions","href":"/dashboards/18854/revisions"},{"rel":"revision","href":"/dashboards/18854/revisions/6"},{"rel":"download","href":"/dashboards/18854/revisions/6/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/18854/images"},{"rel":"thumbnails","href":"/dashboards/18854/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13627,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-veeam-backup-for-aws","downloads":514,"revisionId":23208,"revision":3,"name":"Grafana Dashboard for Veeam Backup for AWS","description":"Grafana Dashboard for Veeam Backup for AWS v4 (Grafana 8.x / InfluxDB v2.x)","readme":"Just download the latest Veeam Backup for AWS script version from GitHub [https://github.com/jorgedlcruz/veeam-backup-aws-grafana/raw/main/veeam_aws.sh](hthttps://github.com/jorgedlcruz/veeam-backup-aws-grafana/raw/main/veeam_aws.sh) and change the Configuration section within your details:\n\n```\n# Configurations\n##\n# Endpoint URL for InfluxDB\n##\nveeamInfluxDBURL=\"http://YOURINFLUXSERVERIP\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL\nveeamInfluxDBPort=\"8086\" #Default Port\nveeamInfluxDBBucket=\"veeam\" # InfluxDB bucket name (not ID)\nveeamInfluxDBToken=\"TOKEN\" # InfluxDB access token with read/write privileges for the bucket\nveeamInfluxDBOrg=\"ORG NAME\" # InfluxDB organisation name (not ID)\n\n# Endpoint URL for login action\nveeamUsername=\"YOURVEEAMBACKUPUSER\"\nveeamPassword=\"YOURVEEAMBACKUPPASS\"\nveeamBackupAWSServer=\"https://YOURVEEAMBACKUPFORAWSIP\"\nveeamBackupAWSPort=\"11005\" #Default Port\n``` \nOnce the changes are done, make the script executable with chmod:\n```\nchmod +x veeam_aws.sh\n``` \nThe output of the command should be something like the next, without errors:\n```\nWriting veeam_aws_sessions Policy to InfluxDB\nHTTP/2 204 \nx-influxdb-build: OSS\nx-influxdb-version: 2.1.1\ndate: Wed, 15 Dec 2021 16:14:56 GMT\n``` \nIf so, please now add this script to your crontab, like for example every 30 minutes:\n```\n*/30 * * * * /home/oper/veeam_aws.sh >> /var/log/veeamaws.log 2>&1\n``` \n\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\n![alt tag](https://www.jorgedelacruz.es/wp-content/uploads/2021/12/veeam-aws-v4-influx2-flux.jpg)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-12-22T12:38:09.000Z","updatedAt":"2021-12-15T16:19:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13627"},{"rel":"revisions","href":"/dashboards/13627/revisions"},{"rel":"revision","href":"/dashboards/13627/revisions/3"},{"rel":"download","href":"/dashboards/13627/revisions/3/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/13627/images"},{"rel":"thumbnails","href":"/dashboards/13627/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12204,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-veeam-backup-for-azure","downloads":1503,"revisionId":35119,"revision":6,"name":"Grafana Dashboard for Veeam Backup for Azure","description":"Grafana Dashboard for Veeam Backup for Azure v7 -  (Grafana 11.x / InfluxDB v2.x)","readme":"Just download the latest Veeam Backup for Azure script version from GitHub [https://github.com/jorgedlcruz/veeam-backup-microsoft-azure-grafana/raw/master/veeam_azure.sh](https://github.com/jorgedlcruz/veeam-backup-microsoft-azure-grafana/raw/master/veeam_azure.sh) and change the Configuration section within your details:\n\n```\n# Configurations\n##\n# Endpoint URL for InfluxDB\nveeamInfluxDBURL=\"YOURINFLUXSERVER\" ##Use https://fqdn or https://IP in case you use SSL\nveeamInfluxDBPort=\"8086\" #Default Port\nveeamInfluxDBBucket=\"veeam\" # InfluxDB bucket name (not ID)\nveeamInfluxDBToken=\"TOKEN\" # InfluxDB access token with read/write privileges for the bucket\nveeamInfluxDBOrg=\"ORG NAME\" # InfluxDB organisation name (not ID)\n\n# Endpoint URL for login action\nveeamUsername=\"YOURVEEAMBACKUPUSER\"\nveeamPassword=\"YOURVEEAMBACKUPPASS\"\nveeamBackupAzureServer=\"https://YOURVEEAMBACKUPIP\"\nveeamBackupAzurePort=\"443\" #Default Port\n``` \nOnce the changes are done, make the script executable with chmod:\n```\nchmod +x veeam_azure.sh\n``` \nThe output of the command should be something like the next, without errors:\n```\nWriting veeam_azure_sessions to InfluxDB\nHTTP/2 204 \nx-influxdb-build: OSS\nx-influxdb-version: 2.1.1\ndate: Tue, 14 Dec 2021 13:20:35 GMT\n``` \nIf so, please now add this script to your crontab, like for example every 30 minutes:\n```\n*/30 * * * * /home/oper/veeam_azure.sh >> /var/log/veeamazure.log 2>&1\n``` \n\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\n![alt tag](https://www.jorgedelacruz.es/wp-content/uploads/2021/12/azuregrafanav3.jpg)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-04-30T12:45:20.000Z","updatedAt":"2024-11-18T22:00:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12204"},{"rel":"revisions","href":"/dashboards/12204/revisions"},{"rel":"revision","href":"/dashboards/12204/revisions/6"},{"rel":"download","href":"/dashboards/12204/revisions/6/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/12204/images"},{"rel":"thumbnails","href":"/dashboards/12204/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15444,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-veeam-backup-for-google-cloud-platform","downloads":478,"revisionId":23302,"revision":1,"name":"Grafana Dashboard for Veeam Backup for Google Cloud Platform","description":"Grafana Dashboard for Veeam Backup for Google Cloud Platform v2 -  (Grafana 8.x / InfluxDB v2.x)","readme":"Just download the latest Veeam Backup for GCP script version from GitHub [https://raw.githubusercontent.com/jorgedlcruz/veeam-backup-gcp-grafana/main/veeam_gcp.sh](https://raw.githubusercontent.com/jorgedlcruz/veeam-backup-gcp-grafana/main/veeam_gcp.sh) and change the Configuration section within your details:\n\n```\n# Configurations\n##\n# Endpoint URL for InfluxDB\n##\nveeamInfluxDBURL=\"http://YOURINFLUXSERVERIP\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL\nveeamInfluxDBPort=\"8086\" #Default Port\nveeamInfluxDBBucket=\"veeam\" # InfluxDB bucket name (not ID)\nveeamInfluxDBToken=\"TOKEN\" # InfluxDB access token with read/write privileges for the bucket\nveeamInfluxDBOrg=\"ORG NAME\" # InfluxDB organisation name (not ID)\n\n# Endpoint URL for login action\nveeamUsername=\"YOURVEEAMBACKUPUSER\"\nveeamPassword=\"YOURVEEAMBACKUPPASS\"\nveeamBackupGCPServer=\"https://YOURVEEAMBACKUPFORGCPIP\"\nveeamBackupGCPPort=\"13140\" #Default Port\n``` \nOnce the changes are done, make the script executable with chmod:\n```\nchmod +x veeam_gcp.sh\n``` \nThe output of the command should be something like the next, without errors:\n```\nWriting veeam_gcp_sessions Policy to InfluxDB\nHTTP/2 204 \nx-influxdb-build: OSS\nx-influxdb-version: 2.1.1\ndate: Wed, 15 Dec 2021 16:14:56 GMT\n``` \nIf so, please now add this script to your crontab, like for example every 30 minutes:\n```\n*/30 * * * * /home/oper/veeam_gcp.sh >> /var/log/veeamgcp.log 2>&1\n``` \n\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2021/12/veeam-grafana-gcp-001.jpg)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-12-29T07:13:09.000Z","updatedAt":"2021-12-29T07:19:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15444"},{"rel":"revisions","href":"/dashboards/15444/revisions"},{"rel":"revision","href":"/dashboards/15444/revisions/1"},{"rel":"download","href":"/dashboards/15444/revisions/1/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/15444/images"},{"rel":"thumbnails","href":"/dashboards/15444/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11286,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-veeam-backup-for-microsoft-365","downloads":2257,"revisionId":26213,"revision":10,"name":"Grafana Dashboard for Veeam Backup for Microsoft 365","description":"Grafana Dashboard for Veeam Backup for Microsoft 365 Dashboard / VBO v6 + Influx v2","readme":"Just download the latest Veeam Backup for Microsoft Office 365 script version from GitHub [https://github.com/jorgedlcruz/veeam-backup-for-office365-grafana/raw/master/veeam_office365.sh](https://github.com/jorgedlcruz/veeam-backup-for-office365-grafana/raw/master/veeam_office365.sh) and change the Configuration section within your details:\r\n\r\n```\r\n##\r\n# Configurations\r\n##\r\n# Endpoint URL for InfluxDB\r\nveeamInfluxDBURL=\"http://YOURINFLUXSERVERIP\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL\r\nveeamInfluxDBPort=\"8086\" #Default Port\r\nveeamInfluxDBBucket=\"veeam\" # InfluxDB bucket name (not ID)\r\nveeamInfluxDBToken=\"TOKEN\" # InfluxDB access token with read/write privileges for the bucket\r\nveeamInfluxDBOrg=\"ORG NAME\" # InfluxDB organisation name (not ID)\r\n\r\n# Endpoint URL for login action\r\nveeamUsername=\"YOURVBOUSER\"\r\nveeamPassword=\"YOURVBOPASSWORD\"\r\nveeamRestServer=\"https://YOURVBOSERVERIP\"\r\nveeamRestPort=\"4443\" #Default Port\r\n``` \r\nOnce the changes are done, make the script executable with chmod:\r\n```\r\nchmod +x veeam_office365.sh\r\n``` \r\nThe output of the command should be something like the next, without errors:\r\n```\r\nHTTP/1.1 204 No Content\r\nContent-Type: application/json\r\nRequest-Id: 78718da6-10af-11ea-835a-000000000000\r\nX-Influxdb-Build: OSS\r\nX-Influxdb-Version: 1.6.3\r\nX-Request-Id: 78718da6-10af-11ea-835a-000000000000\r\nDate: Wed, 27 Nov 2019 00:47:21 GMT\r\n``` \r\nIf so, please now add this script to your crontab, like for example every 30 minutes:\r\n```\r\n*/30 * * * * * /home/oper/veeam_office365.sh >> /var/log/veeamvbo.log 2>&1\r\n``` \r\n\r\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\r\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2022/03/vbo-v6-grafana-001.jpg)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-11-27T01:01:08.000Z","updatedAt":"2022-09-29T13:03:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11286"},{"rel":"revisions","href":"/dashboards/11286/revisions"},{"rel":"revision","href":"/dashboards/11286/revisions/10"},{"rel":"download","href":"/dashboards/11286/revisions/10/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/11286/images"},{"rel":"thumbnails","href":"/dashboards/11286/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16204,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-veeam-backup-for-microsoft-365-audit-restores","downloads":583,"revisionId":26214,"revision":2,"name":"Grafana Dashboard for Veeam Backup for Microsoft 365 Audit Restores","description":"Grafana Dashboard for Veeam Backup for Microsoft 365 Audit Restores","readme":"Just download the latest Veeam Backup for Microsoft 365 Audit script version from GitHub https://raw.githubusercontent.com/jorgedlcruz/veeam-backup-for-microsoft365-grafana-api-security/main/veeam_backup_microsoft365_audit.sh and change the Configuration section within your details:\r\n\r\n```\r\n##\r\n# Configurations\r\n##\r\n# System Variables\r\nauditdays=\"7\" #The number of days you want the Audit to look back (default last 7 days)\r\ntimestart=$(date --date=\"-$auditdays days\" +%FT%TZ)\r\n\r\n# Endpoint URL for InfluxDB\r\nveeamInfluxDBURL=\"http://YOURINFLUXSERVERIP\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL\r\nveeamInfluxDBPort=\"8086\" #Default Port\r\nveeamInfluxDBBucket=\"veeam\" # InfluxDB bucket name (not ID)\r\nveeamInfluxDBToken=\"TOKEN\" # InfluxDB access token with read/write privileges for the bucket\r\nveeamInfluxDBOrg=\"ORG NAME\" # InfluxDB organisation name (not ID)\r\n\r\n# Endpoint URL for login action\r\nveeamUsername=\"YOURVBOUSER\"\r\nveeamPassword=\"YOURVBOPASSWORD\"\r\nveeamRestServer=\"https://YOURVBOSERVERIP\"\r\nveeamRestPort=\"4443\" #Default Port\r\n``` \r\nOnce the changes are done, make the script executable with chmod:\r\n```\r\nchmod +x veeam_backup_microsoft365_audit.sh\r\n``` \r\nThe output of the command should be something like the next, without errors:\r\n```\r\nWriting vveeam_backup_microsoft365_audit to InfluxDB\r\nHTTP/2 204 \r\nx-influxdb-build: OSS\r\nx-influxdb-version: 2.1.1\r\ndate: Tue, 14 Dec 2021 13:20:35 GMT\r\n``` \r\nIf so, please now add this script to your crontab, like for example every 30 minutes:\r\n```\r\n*/30 * * * * /home/oper/veeam_backup_microsoft365_audit.sh >> /var/log/veeam_vb365_audit.log 2>&1\r\n``` \r\n\r\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\r\nDark mode\r\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2022/05/grafana-vb365-restore-audit-001.jpg)\r\n\r\nLight mode\r\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2022/05/grafana-vb365-restore-audit-000.jpg)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-05-03T16:35:19.000Z","updatedAt":"2022-09-29T13:04:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16204"},{"rel":"revisions","href":"/dashboards/16204/revisions"},{"rel":"revision","href":"/dashboards/16204/revisions/2"},{"rel":"download","href":"/dashboards/16204/revisions/2/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/16204/images"},{"rel":"thumbnails","href":"/dashboards/16204/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14813,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-veeam-backup-for-microsoft-office-365-backup-admin-audit-log","downloads":368,"revisionId":22044,"revision":3,"name":"Grafana Dashboard for Veeam Backup for Microsoft Office 365 - Backup Admin Audit Log","description":"Grafana Dashboard for Veeam Backup for Microsoft Office 365 - Backup Admin Audit Log","readme":"This Dashboard works natively by using telegraf and the tail plugin, using the log that can be found here - C:\\\\ProgramData\\\\Veeam\\\\Backup365\\\\Logs\\\\Veeam.Archiver.Shell*.log :\n\nThe grok patterns can be found on the section above, add them into your telegraf, restart the telegraf service.\n\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2021/07/veeam-blog-office-audit-002.jpg)","collectorType":"Telegraf","collectorConfig":"```# Audit for Job Creation\n[[inputs.tail]]\n  files = [\"C:\\\\ProgramData\\\\Veeam\\\\Backup365\\\\Logs\\\\Veeam.Archiver.Shell*.log\"]\n  from_beginning = true\n  name_override = \"veeam_microsoft365audit_jobs\"\n  watch_method = \"poll\"\n\n    grok_patterns = ['%{DATESTAMP_AMPM:timestamp:ts-\"1/2/2006 3:04:05 PM\"} %{SPACE} %{NUMBER} \\(%{NUMBER:nroper}\\) Account:%{GREEDYDATA:operator:tag}', '%{DATESTAMP_AMPM:timestamp:ts-\"1/2/2006 3:04:05 PM\"} %{SPACE} %{NUMBER} \\(%{NUMBER:nrjob}\\) Notification from service: Job %{GREEDYDATA:action:tag}: %{GREEDYDATA:veeamjobname:tag} \\(ID: %{GREEDYDATA:veeamjobid}\\)']\n    grok_custom_patterns = \"DATESTAMP_AMPM %{DATESTAMP} (AM|PM)\"\n    data_format = \"grok\"\n\n# Audit for Job Edit/Deletion\n[[inputs.tail]]\n  files = [\"C:\\\\ProgramData\\\\Veeam\\\\Backup365\\\\Logs\\\\Veeam.Archiver.Shell*.log\"]\n  from_beginning = true\n  name_override = \"veeam_microsoft365audit_jobs\"\n  watch_method = \"poll\"\n\n    grok_patterns = ['%{DATESTAMP_AMPM:timestamp:ts-\"1/2/2006 3:04:05 PM\"} %{SPACE} %{NUMBER} \\(%{NUMBER:nroper}\\) Account:%{GREEDYDATA:operator:tag}', '%{DATESTAMP_AMPM:timestamp:ts-\"1/2/2006 3:04:05 PM\"} %{SPACE} %{NUMBER} \\(%{NUMBER:nrjob}\\) %{GREEDYDATA:action:tag} job: %{GREEDYDATA:veeamjobname:tag}...']\n    grok_custom_patterns = \"DATESTAMP_AMPM %{DATESTAMP} (AM|PM)\"\n    data_format = \"grok\"```","collectorPluginList":"tail","datasource":"InfluxDB","privacy":"public","createdAt":"2021-07-31T06:37:39.000Z","updatedAt":"2021-08-02T08:01:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14813"},{"rel":"revisions","href":"/dashboards/14813/revisions"},{"rel":"revision","href":"/dashboards/14813/revisions/3"},{"rel":"download","href":"/dashboards/14813/revisions/3/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/14813/images"},{"rel":"thumbnails","href":"/dashboards/14813/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15087,"status":1,"statusCode":"active","orgId":383797,"orgSlug":"bennyb","orgName":"DIBTEC - DEV","slug":"grafana-dashboard-for-veeam-backup-for-microsoft-office-365-v3-0","downloads":291,"revisionId":22569,"revision":1,"name":"Grafana Dashboard for Veeam Backup for Microsoft Office 365 v3.0","description":"Grafana Dashboard for Veeam Backup for Microsoft Office 365 Dashboard - Works only with v3.0 of VBO","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-10-07T13:47:38.000Z","updatedAt":"2021-10-07T14:37:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15087"},{"rel":"revisions","href":"/dashboards/15087/revisions"},{"rel":"revision","href":"/dashboards/15087/revisions/1"},{"rel":"download","href":"/dashboards/15087/revisions/1/download"},{"rel":"org","href":"/orgs/bennyb"},{"rel":"images","href":"/dashboards/15087/images"},{"rel":"thumbnails","href":"/dashboards/15087/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12839,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-veeam-backup-for-nutanix-ahv","downloads":442,"revisionId":18534,"revision":1,"name":"Grafana Dashboard for Veeam Backup for Nutanix AHV","description":"Grafana Dashboard for Veeam Backup for Nutanix AHV RESTful API. Grafana 7.x","readme":"Just download the latest Veeam Backup for Nutanix AHV script version from GitHub [https://raw.githubusercontent.com/jorgedlcruz/veeam-backup-for-nutanix-grafana/master/veeam_nutanixahv.sh](https://raw.githubusercontent.com/jorgedlcruz/veeam-backup-for-nutanix-grafana/master/veeam_nutanixahv.sh) and change the Configuration section within your details:\n\n```\n# Endpoint URL for InfluxDB\nveeamInfluxDBURL=\"http://YOURINFLUXSERVERIP\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL\nveeamInfluxDBPort=\"8086\" #Default Port\nveeamInfluxDB=\"telegraf\" #Default Database\nveeamInfluxDBUser=\"USER\" #User for Database\nveeamInfluxDBPassword='PASSWORD' #Password for Database\n\n# Endpoint URL for login action\nveeamUsername=\"YOURUSER\"\nveeamPassword=\"YOURPASS\"\nveeamRestServer=\"https://YOURVEEAMAHVPROXY\"\n``` \nOnce the changes are done, make the script executable with chmod:\n```\nchmod +x veeam_nutanixahv.sh\n``` \nThe output of the command should be something like the next, without errors:\n```\nWriting veeam_nutanix_repository to InfluxDB\nHTTP/1.1 204 No Content\nContent-Type: application/json\nRequest-Id: d8c5a770-e134-11ea-a250-dca632b112f7\nX-Influxdb-Build: OSS\nX-Influxdb-Version: 1.8.2\nX-Request-Id: d8c5a770-e134-11ea-a250-dca632b112f7\nDate: Tue, 18 Aug 2020 09:26:07 GMT<br>\n``` \nIf so, please now add this script to your crontab, like for example every 30 minutes:\n```\n*/30 * * * * /home/oper/veeam_nutanixahv.sh >> /var/log/veeam_nutanixahv.log 2>&1\n``` \n\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\n![alt tag](https://www.jorgedelacruz.es/wp-content/uploads/2020/08/grafana-nutanix-001-1.png)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-08-18T09:32:42.000Z","updatedAt":"2020-08-18T09:37:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12839"},{"rel":"revisions","href":"/dashboards/12839/revisions"},{"rel":"revision","href":"/dashboards/12839/revisions/1"},{"rel":"download","href":"/dashboards/12839/revisions/1/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/12839/images"},{"rel":"thumbnails","href":"/dashboards/12839/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17331,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-veeam-backup-for-salesforce","downloads":584,"revisionId":26639,"revision":1,"name":"Grafana Dashboard for Veeam Backup for Salesforce","description":"Grafana Dashboard for Veeam Backup for Salesforce v1 -  (Grafana 8.x / InfluxDB v2.x)","readme":"Just download the latest Veeam Backup for Salesforce script version from GitHub https://raw.githubusercontent.com/jorgedlcruz/veeam-backup-salesforce-grafana/main/grafana_influxdb_veeam_backup_salesforce.sh](https://raw.githubusercontent.com/jorgedlcruz/veeam-backup-salesforce-grafana/main/grafana_influxdb_veeam_backup_salesforce.sh) and change the Configuration section within your details:\r\n\r\n```\r\n# Configurations\r\n##\r\n# Endpoint URL for InfluxDB\r\n##\r\nveeamInfluxDBURL=\"http://YOURINFLUXSERVERIP\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL\r\nveeamInfluxDBPort=\"8086\" #Default Port\r\nveeamInfluxDBBucket=\"veeam\" # InfluxDB bucket name (not ID)\r\nveeamInfluxDBToken=\"TOKEN\" # InfluxDB access token with read/write privileges for the bucket\r\nveeamInfluxDBOrg=\"ORG NAME\" # InfluxDB organisation name (not ID)\r\n\r\n# Endpoint URL for login action\r\nveeamUsername=\"YOURVEEAMBACKUPUSER\"\r\nveeamPassword=\"YOURVEEAMBACKUPPASS\"\r\nveeamBackupSalesforceServer=\"https://YOURVEEAMBACKUPIP\"\r\nveeamBackupSalesforcePort=\"443\" #Default Port\r\n``` \r\nOnce the changes are done, make the script executable with chmod:\r\n```\r\nchmod +x grafana_influxdb_veeam_backup_salesforce.sh\r\n``` \r\nThe output of the command should be something like the next, without errors:\r\n```\r\nWriting veeam_salesforce_jobslogs to InfluxDB\r\nHTTP/2 204 \r\ndate: Wed, 02 Nov 2022 10:38:58 GMT \r\ntrace-id: 4c0280f82196faa0 \r\ntrace-sampled: false \r\nstrict-transport-security: max-age=15724800; includeSubDomains \r\nx-influxdb-request-id: 4d65d754099599ded69f5f0ce99e7d08 \r\nx-influxdb-build: Cloud\r\n``` \r\nIf so, please now add this script to your crontab, like for example every 30 minutes:\r\n```\r\n*/30 * * * * /home/oper/ grafana_influxdb_veeam_backup_salesforce.sh >> /var/log/grafana_influxdb_veeam_backup_salesforce.log 2>&1\r\n``` \r\n\r\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\r\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2022/11/grafana-veeam-salesforce-001-1.png)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-11-02T13:22:55.000Z","updatedAt":"2022-11-02T13:26:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17331"},{"rel":"revisions","href":"/dashboards/17331/revisions"},{"rel":"revision","href":"/dashboards/17331/revisions/1"},{"rel":"download","href":"/dashboards/17331/revisions/1/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/17331/images"},{"rel":"thumbnails","href":"/dashboards/17331/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11516,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-veeam-enterprise-manager","downloads":3354,"revisionId":39715,"revision":10,"name":"Grafana Dashboard for Veeam Enterprise Manager","description":"Grafana Dashboard for Veeam Enterprise Manager RESTful API.  (Grafana 8.x / InfluxDB v2.x)","readme":"**Attention - Latest versions of this Dashboard have been built for InfluxDB v2.0 using Flux, you can easily see it under the revisions tab, grab the one you need for your InfluxDB v1.8 or v2.0**\r\n\r\n**Requires Veeam Enterprise Plus or VUL licensing**\r\n\r\nJust download the latest Veeam Enterprise Manager script version from GitHub [https://raw.githubusercontent.com/jorgedlcruz/veeam-enterprise_manager-grafana/master/veeam_enterprisemanager.sh](https://raw.githubusercontent.com/jorgedlcruz/veeam-enterprise_manager-grafana/master/veeam_enterprisemanager.sh) and change the Configuration section within your details:\r\n\r\n```\r\n##\r\n# Configurations\r\n##\r\n# Endpoint URL for InfluxDB\r\nveeamInfluxDBURL=\"http://YOURINFLUXSERVERIP\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL\r\nveeamInfluxDBPort=\"8086\" #Default Port\r\nveeamInfluxDB=\"telegraf\" #Default Database\r\nveeamInfluxDBUser=\"USER\" #User for Database\r\nveeamInfluxDBPassword=\"PASSWORD\" #Password for Database\r\n\r\n# Endpoint URL for login action\r\nveeamUsername=\"YOUREMUSER\" #Your username, if using domain based account, please add it like user@domain.com (if you use domain\\account it is not going to work!)\r\nveeamPassword=\"YOUREMPASSWORD\"\r\nveeamAuth=$(echo -ne \"$veeamUsername:$veeamPassword\" | base64);\r\nveeamRestServer=\"YOUREMSERVERIP\"\r\nveeamRestPort=\"9398\" #Default Port\r\n\r\n``` \r\nOnce the changes are done, make the script executable with chmod:\r\n```\r\nchmod +x veeam_enterprisemanager.sh\r\n``` \r\nThe output of the command should be something like the next, without errors:\r\n```\r\nHTTP/1.1 204 No Content\r\nContent-Type: application/json\r\nRequest-Id: 53ee7045-30e1-11ea-8bf5-000000000000\r\nX-Influxdb-Build: OSS\r\nX-Influxdb-Version: 1.6.3\r\nX-Request-Id: 53ee7045-30e1-11ea-8bf5-000000000000\r\nDate: Tue, 07 Jan 2020 00:04:52 GMT\r\n``` \r\nIf so, please now add this script to your crontab, like for example every 30 minutes:\r\n```\r\n*/30 * * * * * /home/oper/veeam_enterprisemanager.sh >> /var/log/veeam_enterprisemanager.log 2>&1\r\n``` \r\nCheck now that you can see all the new data on your Chronograf:\r\n![alt tag](https://www.jorgedelacruz.es/wp-content/uploads/2020/01/veeam-grafana-em-003.png)\r\n\r\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\r\n![alt tag](https://www.jorgedelacruz.es/wp-content/uploads/2020/01/veeam-grafana-em-001.png)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-01-06T23:59:15.000Z","updatedAt":"2026-01-29T22:18:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":5,"reviewsAvgRating":4.4,"links":[{"rel":"self","href":"/dashboards/11516"},{"rel":"revisions","href":"/dashboards/11516/revisions"},{"rel":"revision","href":"/dashboards/11516/revisions/10"},{"rel":"download","href":"/dashboards/11516/revisions/10/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/11516/images"},{"rel":"thumbnails","href":"/dashboards/11516/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18054,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-veeam-one-audit-events","downloads":717,"revisionId":27764,"revision":2,"name":"Grafana Dashboard for Veeam ONE Audit Events","description":"Grafana Dashboard for Veeam ONE Audit Events (v12 and above)","readme":"This Dashboard works natively by using telegraf and the win_eventlog plugin, use the configuration that you can find under the collector config, restart telegraf, and that's it.\r\n\r\nThe Dashboard will highlight the most concerning areas, like Infrastructure edits, failed logins to both Web Client, and Windows Client, Most popular Reports, etc.\r\n\r\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\r\nDark theme\r\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2024/02/grafana-veeamone-audit-001.jpg)\r\n\r\nLight theme\r\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2024/02/grafana-veeamone-audit-002.jpg)","collectorType":"Telegraf","collectorConfig":"```# Input plugin to collect Windows Event Log messages\r\n[[inputs.win_eventlog]]\r\n  xpath_query = '''\r\n<QueryList>\r\n  <Query Id=\"0\" Path=\"Veeam ONE\">\r\n    <Select Path=\"Veeam ONE\">*</Select>\r\n  </Query>\r\n</QueryList>\r\n'''\r\n  process_userdata = true\r\n  process_eventdata = true\r\n  separator = \"_\"\r\n  only_first_line_of_message = true\r\n  timestamp_from_event = true\r\n  event_tags = [\"Source\", \"EventID\", \"Level\", \"LevelText\", \"Task\", \"TaskText\", \"Opcode\", \"OpcodeText\", \"Keywords\", \"Channel\", \"Computer\"]\r\n  event_fields = [\"*\"]\r\n  exclude_fields = [\"TimeCreated\", \"Binary\", \"Data_Address*\"]\r\n  exclude_empty = [\"*ActivityID\", \"UserID\"]\r\n```","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2023-02-08T18:41:55.000Z","updatedAt":"2023-02-11T15:46:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18054"},{"rel":"revisions","href":"/dashboards/18054/revisions"},{"rel":"revision","href":"/dashboards/18054/revisions/2"},{"rel":"download","href":"/dashboards/18054/revisions/2/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/18054/images"},{"rel":"thumbnails","href":"/dashboards/18054/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24212,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-veeam-one-node-exporter","downloads":107,"revisionId":38613,"revision":1,"name":"Grafana Dashboard for Veeam ONE Node Exporter","description":"Grafana Dashboard for Veeam ONE Node Exporter (Unofficial)","readme":"Just download the latest unofficial Veeam ONE Node Exporter from the [next GitHub](https://github.com/jorgedlcruz/veeam-node-exporter/releases), review the appsettings.json and run it.\r\n\r\nReview that you are publishing data under http://127.0.0.1:9108/metrics\r\n\r\nThen with telegraf on the same machine, add this to the configuration:\r\n\r\n```\r\n[[inputs.prometheus]]\r\n  urls = [\"http://127.0.0.1:9108/metrics\"]\r\n  metric_version = 2\r\n  name_override = \"vone_exporter\"\r\n```\r\n\r\nRestart the Telegraf service, add this dashboard to Grafana and enjoy.","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.prometheus]]\r\n  urls = [\"http://127.0.0.1:9108/metrics\"]\r\n  metric_version = 2\r\n  name_override = \"vone_exporter\"\r\n```","collectorPluginList":"prometheus","datasource":"InfluxDB","privacy":"public","createdAt":"2025-10-07T10:12:38.000Z","updatedAt":"2025-10-07T19:52:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24212"},{"rel":"revisions","href":"/dashboards/24212/revisions"},{"rel":"revision","href":"/dashboards/24212/revisions/1"},{"rel":"download","href":"/dashboards/24212/revisions/1/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/24212/images"},{"rel":"thumbnails","href":"/dashboards/24212/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23466,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-veeam-one-overview-job-policy-history","downloads":287,"revisionId":37300,"revision":2,"name":"Grafana Dashboard for Veeam ONE Overview - Job/Policy History","description":"Grafana Dashboard with the ultimate level of visibility for Veeam Data Platform. It uses the truly comprehensive and feature-rich Veeam ONE APIs. This view is Job/Policy History","readme":"**Attention - This Dashboard has been built for InfluxDB v2.0 using Flux**\r\n\r\n**Requires Veeam Data Protection Advanced licensing**\r\n\r\nJust download the latest Veeam ONE OVerview script version from GitHub [https://raw.githubusercontent.com/jorgedlcruz/veeam-one-grafana/refs/heads/main/veeam_one_overview.sh](https://raw.githubusercontent.com/jorgedlcruz/veeam-one-grafana/refs/heads/main/veeam_one_overview.sh) and change the Configuration section within your details:\r\n\r\n```\r\n# Configurations\r\n##\r\n# Endpoint URL for InfluxDB\r\nveeamInfluxDBURL=\"YOURINFLUXSERVER\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL\r\nveeamInfluxDBPort=\"8086\" #Default Port\r\nveeamInfluxDBBucket=\"YOURINFLUXDB\" # InfluxDB bucket name (not ID)\r\nveeamInfluxDBToken=\"TOKEN\" # InfluxDB access token with read/write privileges for the bucket\r\nveeamInfluxDBOrg=\"ORG NAME\" # InfluxDB organisation name (not ID)\r\n\r\n# Endpoint URL for login action\r\nveeamUsername=\"YOURVEEAMONEUSER\" #Usually domain\\user or user@domain.tld\r\nveeamPassword=\"YOURVEEAMONEPASS\"\r\nveeamONEServer=\"https://YOURVEEAMONEIP\" #You can use FQDN if you like as well\r\nveeamONEPort=\"1239\" #Default Port\r\n``` \r\nOnce the changes are done, make the script executable with chmod:\r\n```\r\nchmod +x veeam_one_overview.sh\r\n``` \r\nThe output of the command should be something like the next, without errors:\r\n```\r\nWriting veeam_ONE_about to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\n``` \r\nIf so, please now add this script to your crontab, like for example every 60 minutes:\r\n```\r\n*/60 * * * * * /home/oper/veeam_one_overview.sh >> /var/log/veeam_one_overview.log 2>&1\r\n``` \r\n\r\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\r\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2025/05/grafana-veeamone-overview-jobs-001-1.jpg)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-05-22T15:15:13.000Z","updatedAt":"2025-05-23T09:05:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23466"},{"rel":"revisions","href":"/dashboards/23466/revisions"},{"rel":"revision","href":"/dashboards/23466/revisions/2"},{"rel":"download","href":"/dashboards/23466/revisions/2/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/23466/images"},{"rel":"thumbnails","href":"/dashboards/23466/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23465,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-veeam-one-overview-protected-workloads","downloads":572,"revisionId":37301,"revision":2,"name":"Grafana Dashboard for Veeam ONE Overview - Protected Workloads","description":"Grafana Dashboard with the ultimate level of visibility for Veeam Data Platform. It uses the truly comprehensive and feature-rich Veeam ONE APIs. This view is Protected Workloads","readme":"**Attention - This Dashboard has been built for InfluxDB v2.0 using Flux**\r\n\r\n**Requires Veeam Data Protection Advanced licensing**\r\n\r\nJust download the latest Veeam ONE OVerview script version from GitHub [https://raw.githubusercontent.com/jorgedlcruz/veeam-one-grafana/refs/heads/main/veeam_one_overview.sh](https://raw.githubusercontent.com/jorgedlcruz/veeam-one-grafana/refs/heads/main/veeam_one_overview.sh) and change the Configuration section within your details:\r\n\r\n```\r\n# Configurations\r\n##\r\n# Endpoint URL for InfluxDB\r\nveeamInfluxDBURL=\"YOURINFLUXSERVER\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL\r\nveeamInfluxDBPort=\"8086\" #Default Port\r\nveeamInfluxDBBucket=\"YOURINFLUXDB\" # InfluxDB bucket name (not ID)\r\nveeamInfluxDBToken=\"TOKEN\" # InfluxDB access token with read/write privileges for the bucket\r\nveeamInfluxDBOrg=\"ORG NAME\" # InfluxDB organisation name (not ID)\r\n\r\n# Endpoint URL for login action\r\nveeamUsername=\"YOURVEEAMONEUSER\" #Usually domain\\user or user@domain.tld\r\nveeamPassword=\"YOURVEEAMONEPASS\"\r\nveeamONEServer=\"https://YOURVEEAMONEIP\" #You can use FQDN if you like as well\r\nveeamONEPort=\"1239\" #Default Port\r\n``` \r\nOnce the changes are done, make the script executable with chmod:\r\n```\r\nchmod +x veeam_one_overview.sh\r\n``` \r\nThe output of the command should be something like the next, without errors:\r\n```\r\nWriting veeam_ONE_about to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\nWriting veeam_ONE_overview_protectedvms data to InfluxDB\r\n``` \r\nIf so, please now add this script to your crontab, like for example every 60 minutes:\r\n```\r\n*/60 * * * * * /home/oper/veeam_one_overview.sh >> /var/log/veeam_one_overview.log 2>&1\r\n``` \r\n\r\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\r\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2025/05/grafana-veeamone-overview-workloads-001.jpg)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-05-22T15:03:40.000Z","updatedAt":"2025-05-23T09:06:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23465"},{"rel":"revisions","href":"/dashboards/23465/revisions"},{"rel":"revision","href":"/dashboards/23465/revisions/2"},{"rel":"download","href":"/dashboards/23465/revisions/2/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/23465/images"},{"rel":"thumbnails","href":"/dashboards/23465/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24318,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-veeam-software-appliance","downloads":83,"revisionId":38951,"revision":2,"name":"Grafana Dashboard for Veeam Software Appliance","description":"Grafana Dashboard for Veeam Software Appliance using InfluxDB and Prometheus-like metrics (Unofficial)","readme":"**Attention - This Dashboard has been built for InfluxDB v2.0 using Flux**\r\n\r\n**Requires Veeam Software Appliance, or Veeam JeOS**\r\n\r\nFollow the instructions on the GitHub [https://github.com/jorgedlcruz/veeam-appliance-monitoring/tree/main/node_exporter_bash](https://github.com/jorgedlcruz/veeam-appliance-monitoring/tree/main/node_exporter_bash) \r\n\r\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\r\n![alt tag](https://github.com/jorgedlcruz/veeam-appliance-monitoring/blob/main/node_exporter_bash/screenshot.png?raw=true)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-10-31T15:07:10.000Z","updatedAt":"2025-11-07T10:22:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24318"},{"rel":"revisions","href":"/dashboards/24318/revisions"},{"rel":"revision","href":"/dashboards/24318/revisions/2"},{"rel":"download","href":"/dashboards/24318/revisions/2/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/24318/images"},{"rel":"thumbnails","href":"/dashboards/24318/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12193,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-for-wordpress-com-jetpack-analytics","downloads":436,"revisionId":17364,"revision":2,"name":"Grafana Dashboard for Wordpress.com Jetpack Analytics","description":"Grafana Dashboard for Wordpress.com Jetpack Analytics","readme":"Just download the latest Wordpress.com Jetpack script version from GitHub [https://github.com/jorgedlcruz/wordpress-grafana/raw/master/wordpress_grafana.sh](https://github.com/jorgedlcruz/wordpress-grafana/raw/master/wordpress_grafana.sh) and change the Configuration section within your details:\n\n```\n##\n# Configurations\n##\n# Endpoint URL for InfluxDB\nInfluxDBURL=\"YOURINFLUXSERVERIP\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL\nInfluxDBPort=\"8086\" #Default Port\nInfluxDB=\"telegraf\" #Default Database\nInfluxDBUser=\"USER\" #User for Database\nInfluxDBPassword=\"PASSWORD\" #Password for Database\n\n# Endpoint URL for login action\nWPSiteURL=\"YOURSITE\"\nWPAuthBearer=\"YOURAUTHCODE\"\n\n``` \nOnce the changes are done, make the script executable with chmod:\n```\nchmod +x wordpress_grafana.sh\n``` \nThe output of the command should be something like the next, without errors:\n```\nHTTP/1.1 204 No Content\nContent-Type: application/json\nRequest-Id: 9ba3716e-8868-11ea-ad9d-0050569002da\nX-Influxdb-Build: OSS\nX-Influxdb-Version: 1.7.10\nX-Request-Id: 9ba3716e-8868-11ea-ad9d-0050569002da\nDate: Mon, 27 Apr 2020 09:22:25 GMT\n``` \nIf so, please now add this script to your crontab, like for example every 30 minutes:\n```\n*/30 * * * * /home/oper/wordpress_grafana.sh >> /var/log/wordpress-stats.log 2>&1\n``` \n\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\n![alt tag](https://www.jorgedelacruz.es/wp-content/uploads/2021/04/wordpress-grafana-001-1.png)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-04-27T11:37:25.000Z","updatedAt":"2020-04-27T16:35:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12193"},{"rel":"revisions","href":"/dashboards/12193/revisions"},{"rel":"revision","href":"/dashboards/12193/revisions/2"},{"rel":"download","href":"/dashboards/12193/revisions/2/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/12193/images"},{"rel":"thumbnails","href":"/dashboards/12193/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15647,"status":1,"statusCode":"active","orgId":136760,"orgSlug":"vadlejch","orgName":"vadlejch","slug":"grafana-dashboard-mew-01-widok-og-lny-nr-1","downloads":316,"revisionId":23624,"revision":1,"name":"Grafana dashboard MEW-01: Widok ogólny nr 1","description":"Měření spotřeby","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2022-01-30T16:22:59.000Z","updatedAt":"2022-01-30T16:23:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15647"},{"rel":"revisions","href":"/dashboards/15647/revisions"},{"rel":"revision","href":"/dashboards/15647/revisions/1"},{"rel":"download","href":"/dashboards/15647/revisions/1/download"},{"rel":"org","href":"/orgs/vadlejch"},{"rel":"images","href":"/dashboards/15647/images"},{"rel":"thumbnails","href":"/dashboards/15647/thumbnails"}]},{"id":12226,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"grafana-dashboard-to-monitor-owl-usb-cm160-electricity-consumption","downloads":1402,"revisionId":17458,"revision":4,"name":"Grafana Dashboard to monitor Owl USB CM160 Electricity Consumption","description":"","readme":"Just download the latest PowerShell script version from GitHub [https://raw.githubusercontent.com/jorgedlcruz/owlCM160-grafana/master/owlCM160_Influx.ps1](https://raw.githubusercontent.com/jorgedlcruz/owlCM160-grafana/master/owlCM160_Influx.ps1) and change the Configuration section within your details:\n\n```\n# System variables, on here you need to replace the next ones with your own paths, IPs, pass, etc.\n#By default the SystemDataSQLLitePath on mi case was C:\\Program Files\\System.Data.SQLite\\2015\\bin\\System.Data.SQLite.dll\n$SystemDataSQLLitePath=\"YOURPATHTOTHESQLLITEASSEMBLY\" \n$NumberArray=\"THEMINUTESYOUWANTTORETRIEVE\"\n$InfluxDBURL=\"https://YOURINFLUXDBSERVER\"\n$InfluxDBPort=\"8086\"\n$InfluxDBDB=\"YOURINFLUXDB\"\n$InfluxDBUser='YOURINFLUXUSER'\n$InfluxDBPass='YOURINFLUXPASS' | ConvertTo-SecureString -asPlainText -Force\n\n``` \nOnce the changes are done, please schedule the script on your Windows Task Scheduler.\n\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2020/05/owl-grafana-002-1.png)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-05-03T22:36:25.000Z","updatedAt":"2020-05-06T16:41:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12226"},{"rel":"revisions","href":"/dashboards/12226/revisions"},{"rel":"revision","href":"/dashboards/12226/revisions/4"},{"rel":"download","href":"/dashboards/12226/revisions/4/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/12226/images"},{"rel":"thumbnails","href":"/dashboards/12226/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17766,"status":1,"statusCode":"active","orgId":739435,"orgSlug":"gabrielcerutti","orgName":"gabrielcerutti","slug":"frontend-monitoring","downloads":22682,"revisionId":27297,"revision":2,"name":"Grafana Faro - Frontend Monitoring","description":"Frontend monitoring dashboard using metrics collected with Grafana Faro SDK.","readme":"# What is [Grafana Faro](https://grafana.com/oss/faro/)?\r\n\r\nA project for frontend application observability, Grafana Faro includes a highly configurable web SDK for real user monitoring (RUM) that instruments browser frontend applications to capture observability signals. The frontend telemetry can then be correlated with backend and infrastructure data for seamless, full-stack observability.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2023-01-02T16:01:40.000Z","updatedAt":"2023-02-03T13:28:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/17766"},{"rel":"revisions","href":"/dashboards/17766/revisions"},{"rel":"revision","href":"/dashboards/17766/revisions/2"},{"rel":"download","href":"/dashboards/17766/revisions/2/download"},{"rel":"org","href":"/orgs/gabrielcerutti"},{"rel":"images","href":"/dashboards/17766/images"},{"rel":"thumbnails","href":"/dashboards/17766/thumbnails"}],"datasourceSlugs":["loki"]},{"id":18788,"status":1,"statusCode":"active","orgId":854524,"orgSlug":"wdscode","orgName":"wdscode","slug":"grafana-faro-frontend-monitoring","downloads":629,"revisionId":28811,"revision":1,"name":"Grafana Faro - Frontend Monitoring","description":"Frontend monitoring dashboard using metrics collected with Grafana Faro SDK.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2023-05-19T14:42:26.000Z","updatedAt":"2023-05-19T14:43:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18788"},{"rel":"revisions","href":"/dashboards/18788/revisions"},{"rel":"revision","href":"/dashboards/18788/revisions/1"},{"rel":"download","href":"/dashboards/18788/revisions/1/download"},{"rel":"org","href":"/orgs/wdscode"},{"rel":"images","href":"/dashboards/18788/images"},{"rel":"thumbnails","href":"/dashboards/18788/thumbnails"}],"datasourceSlugs":["loki"]},{"id":6042,"status":1,"statusCode":"active","orgId":124625,"orgSlug":"luizep","orgName":"luizep","slug":"home","downloads":659,"revisionId":8229,"revision":1,"name":"Grafana Home 1 Personalizada  ","description":"Home grafana Personalizada 1 ","readme":"Este dashboard organiza os seus principais dashboards por categoria. \n\n- Github:github.com/isweluiz\n\n - Linkedin :  linkedin.com/in/isweluiz","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2018-05-11T19:13:18.000Z","updatedAt":"2018-11-20T15:23:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6042"},{"rel":"revisions","href":"/dashboards/6042/revisions"},{"rel":"revision","href":"/dashboards/6042/revisions/1"},{"rel":"download","href":"/dashboards/6042/revisions/1/download"},{"rel":"org","href":"/orgs/luizep"},{"rel":"images","href":"/dashboards/6042/images"},{"rel":"thumbnails","href":"/dashboards/6042/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":9119,"status":1,"statusCode":"active","orgId":124625,"orgSlug":"luizep","orgName":"luizep","slug":"home","downloads":408,"revisionId":12593,"revision":1,"name":"Grafana Home 2 Personalizada  ","description":"Grafana Home 2 ","readme":"Este dashboard organiza os seus principais dashboards por categoria. \n\n- Github:github.com/isweluiz\n\n - Linkedin :  linkedin.com/in/isweluiz","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2018-11-20T15:21:35.000Z","updatedAt":"2018-11-20T15:25:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9119"},{"rel":"revisions","href":"/dashboards/9119/revisions"},{"rel":"revision","href":"/dashboards/9119/revisions/1"},{"rel":"download","href":"/dashboards/9119/revisions/1/download"},{"rel":"org","href":"/orgs/luizep"},{"rel":"images","href":"/dashboards/9119/images"},{"rel":"thumbnails","href":"/dashboards/9119/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":24838,"status":1,"statusCode":"active","orgId":5000,"orgSlug":"grafana","orgName":"Grafana Labs","slug":"grafana-internal-metrics","downloads":358,"revisionId":39845,"revision":1,"name":"Grafana Internal Metrics","description":"Provides insights into Grafana itself via internal metrics","readme":"See https://grafana.com/docs/grafana/latest/setup-grafana/set-up-grafana-monitoring/ for details on how to collect internal metrics as a prereq\r\n\r\nWritten for kubernetes deployments, but with some tweaking of variables should also work for deployment on individual server instances","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-02-09T18:37:22.000Z","updatedAt":"2026-02-09T18:50:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24838"},{"rel":"revisions","href":"/dashboards/24838/revisions"},{"rel":"revision","href":"/dashboards/24838/revisions/1"},{"rel":"download","href":"/dashboards/24838/revisions/1/download"},{"rel":"org","href":"/orgs/grafana"},{"rel":"images","href":"/dashboards/24838/images"},{"rel":"thumbnails","href":"/dashboards/24838/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20138,"status":1,"statusCode":"active","orgId":1008069,"orgSlug":"kourlosdimitris","orgName":"kourlosdimitris","slug":"grafana-internal-stats","downloads":34036,"revisionId":30969,"revision":1,"name":"Grafana Internal Stats","description":"Grafana Internal Metrics Dashboards","readme":"## Grafana Internal Metrics Dashboard\r\n\r\nThis dashboard provides an overview of the internal metrics exposed by a Grafana server.  \r\nIt helps operators monitor Grafana health, usage statistics, and resource consumption.\r\n\r\n### Features\r\n\r\nThis dashboard includes:\r\n\r\n- Overview of Grafana internal statistics:\r\n  - Users\r\n  - Dashboards\r\n  - Alerts\r\n  - Folders\r\n- Grafana process resource usage:\r\n  - CPU\r\n  - Memory\r\n  - File descriptors\r\n- Grafana database metrics:\r\n  - Open connections\r\n  - Connection usage percentage\r\n- High-level operational view of the Grafana server\r\n\r\n### Requirements\r\n\r\nThis dashboard uses the **Grafana internal Prometheus metrics endpoint**:\r\n\r\n\r\n### Recommended Use\r\n\r\nThis dashboard is useful for:\r\n\r\n- Observability engineers\r\n- SRE teams\r\n- Grafana administrators\r\n- Monitoring large Grafana deployments\r\n\r\n### Need Help With Grafana or Prometheus?\r\n\r\nIf you need help implementing production-grade monitoring or observability systems (Grafana, Prometheus, Kubernetes), feel free to reach out.\r\n\r\nDevSecOps & Observability Engineer  \r\nExperience with large-scale infrastructure and EU projects.\r\n\r\nLinkedIn:  \r\nhttps://www.linkedin.com/in/dimitris-kourlos-123456789012356789","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-12-13T13:27:59.000Z","updatedAt":"2026-03-12T18:39:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20138"},{"rel":"revisions","href":"/dashboards/20138/revisions"},{"rel":"revision","href":"/dashboards/20138/revisions/1"},{"rel":"download","href":"/dashboards/20138/revisions/1/download"},{"rel":"org","href":"/orgs/kourlosdimitris"},{"rel":"images","href":"/dashboards/20138/images"},{"rel":"thumbnails","href":"/dashboards/20138/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3590,"status":1,"statusCode":"active","orgId":45440,"orgSlug":"bartvanbos","orgName":"Bart Van Bos","slug":"grafana-internals","downloads":99480,"revisionId":4943,"revision":3,"name":"Grafana Internals","description":"Grafana Internal Metics Dashboards","readme":"Grafana dashboard to monitor Grafana's internal metrics in a Kubernetes Environment. \r\n\r\nThe following metrics are displayed:\r\n - Start time, org count, user count, dashboard count\r\n - Avg CPU/Mem Usage and Open File Descriptors\r\n - HTTP Request/Response Codes and Login's (POST/OAuth)\r\n - DataProxy Requests, Dashboard Get/Save/Search Duration Statistics","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-10-30T14:02:43.000Z","updatedAt":"2017-10-31T11:10:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4.5,"links":[{"rel":"self","href":"/dashboards/3590"},{"rel":"revisions","href":"/dashboards/3590/revisions"},{"rel":"revision","href":"/dashboards/3590/revisions/3"},{"rel":"download","href":"/dashboards/3590/revisions/3/download"},{"rel":"org","href":"/orgs/bartvanbos"},{"rel":"images","href":"/dashboards/3590/images"},{"rel":"thumbnails","href":"/dashboards/3590/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21891,"status":1,"statusCode":"active","orgId":1142786,"orgSlug":"conroychristie","orgName":"conroychristie","slug":"grafana-internals","downloads":351,"revisionId":34244,"revision":1,"name":"Grafana Internals","description":"Grafana Internal Metics Dashboards","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-09-11T17:29:42.000Z","updatedAt":"2024-09-11T17:30:04.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21891"},{"rel":"revisions","href":"/dashboards/21891/revisions"},{"rel":"revision","href":"/dashboards/21891/revisions/1"},{"rel":"download","href":"/dashboards/21891/revisions/1/download"},{"rel":"org","href":"/orgs/conroychristie"},{"rel":"images","href":"/dashboards/21891/images"},{"rel":"thumbnails","href":"/dashboards/21891/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14876,"status":1,"statusCode":"active","orgId":531314,"orgSlug":"fktkrt","orgName":"fktkrt","slug":"grafana-loki-dashboard-for-istio-service-mesh","downloads":110813,"revisionId":23280,"revision":3,"name":"Grafana Loki Dashboard for Istio Service Mesh","description":"Parsing Envoy access logs with Grafana Loki","readme":"# Grafana Loki Dashboard for Istio Service Mesh\r\n## Overview\r\nThis dashboard is based on Envoy's (Istio's) access logs, parsed by Grafana Loki.\r\n\r\n## Prerequisites\r\n - Enable access logging in Istio\r\n\r\n```yaml\r\nspec:\r\n  meshConfig:\r\n    accessLogFile: /dev/stdout\r\n```\r\n - Only Loki 2.3+ versions are supported, as the panels are leveraging the new [pattern parser](https://grafana.com/docs/loki/next/logql/#pattern)\r\n\r\n## Configuration\r\nThere's no need for any extra scrape/parse configurations, only the default Promtail configuration, e.g. from the [official Helm charts](https://github.com/grafana/helm-charts/tree/main/charts/promtail).\r\n\r\nDefault access log format of Istio's Envoy proxies:\r\n\r\n```console\r\n[%START_TIME%] \\\"%REQ(:METHOD)% %REQ(X-ENVOY-ORIGINAL-PATH?:PATH)% %PROTOCOL%\\\" %RESPONSE_CODE% %RESPONSE_FLAGS% %RESPONSE_CODE_DETAILS% %CONNECTION_TERMINATION_DETAILS%\r\n\\\"%UPSTREAM_TRANSPORT_FAILURE_REASON%\\\" %BYTES_RECEIVED% %BYTES_SENT% %DURATION% %RESP(X-ENVOY-UPSTREAM-SERVICE-TIME)% \\\"%REQ(X-FORWARDED-FOR)%\\\" \\\"%REQ(USER-AGENT)%\\\" \\\"%REQ(X-REQUEST-ID)%\\\"\r\n\\\"%REQ(:AUTHORITY)%\\\" \\\"%UPSTREAM_HOST%\\\" %UPSTREAM_CLUSTER% %UPSTREAM_LOCAL_ADDRESS% %DOWNSTREAM_LOCAL_ADDRESS% %DOWNSTREAM_REMOTE_ADDRESS% %REQUESTED_SERVER_NAME% %ROUTE_NAME%\\n\r\n```\r\nFor further details, check the official docs: [https://istio.io/latest/docs/tasks/observability/logs/access-log/](https://istio.io/latest/docs/tasks/observability/logs/access-log/)\r\n\r\n## Usage\r\nSelect your istio-ingressgateways or applications served behind Envoy proxies via the label selectors to populate the panels of the dashboard.\r\n\r\n---\r\nDisclaimer: the dashboard is based on the original [Grafana Loki Dashboard for NGINX Service Mesh](https://grafana.com/grafana/dashboards/12559) by wardbekker1","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2021-08-15T17:03:43.000Z","updatedAt":"2021-12-23T17:20:11.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14876"},{"rel":"revisions","href":"/dashboards/14876/revisions"},{"rel":"revision","href":"/dashboards/14876/revisions/3"},{"rel":"download","href":"/dashboards/14876/revisions/3/download"},{"rel":"org","href":"/orgs/fktkrt"},{"rel":"images","href":"/dashboards/14876/images"},{"rel":"thumbnails","href":"/dashboards/14876/thumbnails"}],"datasourceSlugs":["loki"]},{"id":14752,"status":1,"statusCode":"active","orgId":518686,"orgSlug":"muhammadirsalyunus","orgName":"muhammadirsalyunus","slug":"grafana-loki-dashboard-for-nginx-service-mesh","downloads":610,"revisionId":21926,"revision":1,"name":"Grafana Loki Dashboard for NGINX Service Mesh","description":"Loki v2+ showcase 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Per Server and per md view","readme":"Forked from [https://grafana.com/grafana/dashboards/4394](https://grafana.com/grafana/dashboards/4394)","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-04T19:23:11.000Z","updatedAt":"2021-07-03T20:12:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13344"},{"rel":"revisions","href":"/dashboards/13344/revisions"},{"rel":"revision","href":"/dashboards/13344/revisions/2"},{"rel":"download","href":"/dashboards/13344/revisions/2/download"},{"rel":"org","href":"/orgs/e1mo"},{"rel":"images","href":"/dashboards/13344/images"},{"rel":"thumbnails","href":"/dashboards/13344/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17520,"status":1,"statusCode":"active","orgId":233020,"orgSlug":"jlecomte","orgName":"jlecomte","slug":"grafana-metrics","downloads":404,"revisionId":26905,"revision":1,"name":"Grafana Metrics","description":"Metrics for this Grafana instance for this Grafana board","readme":"Lorem ipsum sit dolor amet","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-12-01T09:55:28.000Z","updatedAt":"2022-12-14T09:01:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17520"},{"rel":"revisions","href":"/dashboards/17520/revisions"},{"rel":"revision","href":"/dashboards/17520/revisions/1"},{"rel":"download","href":"/dashboards/17520/revisions/1/download"},{"rel":"org","href":"/orgs/jlecomte"},{"rel":"images","href":"/dashboards/17520/images"},{"rel":"thumbnails","href":"/dashboards/17520/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18999,"status":1,"statusCode":"active","orgId":853215,"orgSlug":"alga1","orgName":"alga1","slug":"grafana-metrics","downloads":1050,"revisionId":29121,"revision":1,"name":"Grafana metrics","description":"Metrics about Grafana","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-06-19T18:24:11.000Z","updatedAt":"2023-06-19T18:24:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18999"},{"rel":"revisions","href":"/dashboards/18999/revisions"},{"rel":"revision","href":"/dashboards/18999/revisions/1"},{"rel":"download","href":"/dashboards/18999/revisions/1/download"},{"rel":"org","href":"/orgs/alga1"},{"rel":"images","href":"/dashboards/18999/images"},{"rel":"thumbnails","href":"/dashboards/18999/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17801,"status":1,"statusCode":"active","orgId":463473,"orgSlug":"frogtown","orgName":"Frog Town","slug":"grafana-news-tutorial","downloads":310,"revisionId":27291,"revision":1,"name":"Grafana News Tutorial","description":"A tutorial from https://grafana.com/tutorials/grafana-fundamentals-cloud/","readme":"A dashboard created by following the tutorial from https://grafana.com/tutorials/grafana-fundamentals-cloud/","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2023-01-04T19:09:19.000Z","updatedAt":"2023-01-04T19:29:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17801"},{"rel":"revisions","href":"/dashboards/17801/revisions"},{"rel":"revision","href":"/dashboards/17801/revisions/1"},{"rel":"download","href":"/dashboards/17801/revisions/1/download"},{"rel":"org","href":"/orgs/frogtown"},{"rel":"images","href":"/dashboards/17801/images"},{"rel":"thumbnails","href":"/dashboards/17801/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":22785,"status":1,"statusCode":"active","orgId":1295949,"orgSlug":"testerino","orgName":"testerino","slug":"grafana-operator","downloads":2255,"revisionId":36072,"revision":2,"name":"Grafana Operator","description":"Grafana Operator Dashboard.","readme":"# Grafana Operator Monitoring Dashboard\r\n\r\nThis dashboard provides a comprehensive overview of the **Grafana Operator’s health and the status** of its managed resources across multiple Kubernetes clusters. It offers detailed insights into resource utilization, API request rates, and work queue performance. The dashboard integrates with Prometheus and kube-state-metrics, enabling efficient monitoring and issue detection in Grafana Operator deployments.\r\n\r\n## Key Features\r\n\r\n### 1. **Cluster & Pod Overview**\r\n- **Up Status:** Displays the status of the Grafana Operator across all selected clusters and pods.\r\n- **Goroutines:** Monitors the number of active goroutines for the Grafana Operator, helping identify potential issues with concurrency or resource exhaustion.\r\n\r\n### 2. **Resource Usage**\r\n> Kube-State-Metrics are used for these panels\r\n- **CPU Usage:** Visualizes the CPU consumption of Grafana Operator pods, along with requested and limit values for better capacity planning.\r\n- **Memory Usage:** Tracks memory usage for each pod, showing requests and limits to identify potential memory saturation.\r\n\r\n### 3. **Custom Resource Metrics**\r\n- **CR Initial Sync Durations:** Measures the time taken to synchronize custom resources like dashboards and datasources after a Grafana Operator restart.\r\n- **CR Reconciles:** Tracks reconciliation rates for custom resources per Grafana instance to monitor operational health.\r\n\r\n### 4. **Work Queue Insights**\r\n- **Work Queue Add Rate:** Shows the rate at which tasks are added to the Grafana Operator’s work queue, indicating operational load.\r\n- **Work Queue Depth:** Displays the number of tasks waiting in the work queue, helping identify potential bottlenecks.\r\n- **Work Queue Latency:** Measures task processing latency using histogram quantiles to detect delays.\r\n\r\n### 5. **Kube API & Grafana API Metrics**\r\n- **Kube API Request Rate:** Monitors the rate of Kubernetes API requests categorized by response codes (2xx, 3xx, 4xx, 5xx) to identify potential API issues.\r\n- **Grafana API Requests:** Tracks the number of requests made to the Grafana API, grouped by method and instance for granular monitoring.\r\n\r\n## Customization Options\r\n- **K8s Cluster Variable:** Allows switching between different Kubernetes clusters for multi-cluster monitoring.\r\n    - The Kubernetes cluster name is fetched from the `up{job=\"apiserver}` expression result. By default the `cluster` label key is used, but the key where we are fetching this value from, can be customized using the `k8sClusterLabelKey` variable.\r\n- **Pod Selection:** Supports filtering metrics by specific pods to focus on individual resources.\r\n- **kube-state-metrics Job:** Enables customization of the kube-state-metrics job used for collecting resource metrics, through the `kubeStateMetricsJob` variable.\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2025-01-31T11:31:40.000Z","updatedAt":"2025-02-12T13:20:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22785"},{"rel":"revisions","href":"/dashboards/22785/revisions"},{"rel":"revision","href":"/dashboards/22785/revisions/2"},{"rel":"download","href":"/dashboards/22785/revisions/2/download"},{"rel":"org","href":"/orgs/testerino"},{"rel":"images","href":"/dashboards/22785/images"},{"rel":"thumbnails","href":"/dashboards/22785/thumbnails"}]},{"id":14125,"status":1,"statusCode":"active","orgId":475659,"orgSlug":"coreproj2","orgName":"core proj 2","slug":"grafana-play-home","downloads":790,"revisionId":20723,"revision":1,"name":"Grafana Play 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Home","description":"good","readme":"yes","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite, testdata","privacy":"public","createdAt":"2023-03-27T12:24:40.000Z","updatedAt":"2023-03-27T12:25:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18367"},{"rel":"revisions","href":"/dashboards/18367/revisions"},{"rel":"revision","href":"/dashboards/18367/revisions/1"},{"rel":"download","href":"/dashboards/18367/revisions/1/download"},{"rel":"org","href":"/orgs/m17395778718"},{"rel":"images","href":"/dashboards/18367/images"},{"rel":"thumbnails","href":"/dashboards/18367/thumbnails"}],"datasourceSlugs":["graphite","testdata"]},{"id":11365,"status":1,"statusCode":"active","orgId":279106,"orgSlug":"bujupah","orgName":"Khalil Mejdi","slug":"grafana-reports","downloads":1378,"revisionId":15953,"revision":1,"name":"Grafana Reports","description":"This dashboard contains a panel that allows you to faster generate reports from dashboards.","readme":"## Getting started\n\nRequirements:\n\n    apt install golang-go\n    apt install texlive-latex-base   \n  \nGet the source files and dependencies:\n\n    go get github.com/IzakMarais/reporter/...\nBuild and install grafana-reporter binary:\n\n    go install -v github.com/IzakMarais/reporter/cmd/grafana-reporter\nRunning without any flags assumes Grafana is reachable at localhost:3000:\n    \n    export GOPATH=$HOME/go\n    export PATH=$PATH:$GOROOT/bin:$GOPATH/bin\n    grafana-reporter\n\n## Credits\nAll thanks goes to [IzakMarais](https://github.com/IzakMarais) who made the Service that generates a PDF report from a Grafana dashboard.\n\nFor more info browse his github [Repository](https://github.com/IzakMarais/reporter).\n\n\n\n## About This Panel\nThis panel allows you to faster generate reports from dashboards and make the use of [IzakMarais](https://github.com/IzakMarais) work to be easily manipulated here by using its API.\n\nFor customizable dashboards and functionalities [Contact me](mailto:khalil.mejdi97@gmail.com).\n\nAnd yes, do not forget to review.\n\n### TODO \n* [X] Get Folder.\n* [X] Get Dashboard.\n* [X] Generate reports.\n* [O] Manipule variables.\n* [O] Select time.\n* [O] Ability to direct download.\n\n[![](https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png)](https://www.buymeacoffee.com/bujupah)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2019-12-06T12:52:15.000Z","updatedAt":"2021-02-04T12:38:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":5,"reviewsAvgRating":4.6,"links":[{"rel":"self","href":"/dashboards/11365"},{"rel":"revisions","href":"/dashboards/11365/revisions"},{"rel":"revision","href":"/dashboards/11365/revisions/1"},{"rel":"download","href":"/dashboards/11365/revisions/1/download"},{"rel":"org","href":"/orgs/bujupah"},{"rel":"images","href":"/dashboards/11365/images"},{"rel":"thumbnails","href":"/dashboards/11365/thumbnails"}]},{"id":19196,"status":1,"statusCode":"active","orgId":903728,"orgSlug":"danielecuomo","orgName":"danielecuomo","slug":"grafana-reports","downloads":427,"revisionId":29420,"revision":1,"name":"Grafana Reports","description":"This dashboard contains a panel that allows you to faster generate reports from dashboards.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-07-19T09:48:10.000Z","updatedAt":"2023-07-19T09:48:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19196"},{"rel":"revisions","href":"/dashboards/19196/revisions"},{"rel":"revision","href":"/dashboards/19196/revisions/1"},{"rel":"download","href":"/dashboards/19196/revisions/1/download"},{"rel":"org","href":"/orgs/danielecuomo"},{"rel":"images","href":"/dashboards/19196/images"},{"rel":"thumbnails","href":"/dashboards/19196/thumbnails"}]},{"id":16665,"status":1,"statusCode":"active","orgId":659154,"orgSlug":"stavr666","orgName":"stavr666","slug":"linux-grafana","downloads":469,"revisionId":25492,"revision":1,"name":"Grafana self-monitoring over InfluxDB","description":"Use Telegraf to collect metrics, InfluxDB OSS 2.x to store them","readme":"Slightly reworked version of [Grafana Internals](https://grafana.com/grafana/dashboards/3590)\r\n\r\n- Telegraf (on any host) collecting data from Grafana's native (on by default) Prometheus endpoint\r\n- Push them to InfluxDB OSS 2.x (tested on v2.3)\r\n- Same or other Grafana allow you to choose any flux-compartible datasource and show basic stats, aggregated over variable-defined intervals\r\n\r\nI don't use proxy right now, so this part is not finished. But you can re-use \"Dashboards X Stats\" pattern to get same result.","collectorType":"Telegraf","collectorConfig":"```\r\n[[outputs.influxdb_v2]]\t\r\n  urls = [\"$INFLUX_HOST\"]\r\n  token = \"$INFLUX_TOKEN\"\r\n  bucket = \"$INFLUX_BUCKET\"\r\n  organization = \"$INFLUX_ORG\"\r\n  influx_uint_support = true\r\n\r\n## Grafana OSS specific metrics\r\n[[inputs.prometheus]]\r\n  urls = [\"https://HOSTNAME/metrics\"]\r\n  insecure_skip_verify = true\r\n  [inputs.prometheus.tags]\r\n    host = \"HOSTNAME\"\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-07-30T17:18:59.000Z","updatedAt":"2022-07-30T17:43:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16665"},{"rel":"revisions","href":"/dashboards/16665/revisions"},{"rel":"revision","href":"/dashboards/16665/revisions/1"},{"rel":"download","href":"/dashboards/16665/revisions/1/download"},{"rel":"org","href":"/orgs/stavr666"},{"rel":"images","href":"/dashboards/16665/images"},{"rel":"thumbnails","href":"/dashboards/16665/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21686,"status":1,"statusCode":"active","orgId":5000,"orgSlug":"grafana","orgName":"Grafana Labs","slug":"grafana-stack-limits-dashboard","downloads":621,"revisionId":40847,"revision":6,"name":"Grafana Stack Limits Dashboard","description":"","readme":"Go to Dashboard, click \"new\" then \"import\" enter the ID 21686 and hit apply","collectorType":"Other","collectorConfig":"Grafana Cloud Ingest Limit by InstanceId","collectorPluginList":"Other","datasource":null,"privacy":"public","createdAt":"2024-08-12T19:33:41.000Z","updatedAt":"2026-05-23T18:19:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21686"},{"rel":"revisions","href":"/dashboards/21686/revisions"},{"rel":"revision","href":"/dashboards/21686/revisions/6"},{"rel":"download","href":"/dashboards/21686/revisions/6/download"},{"rel":"org","href":"/orgs/grafana"},{"rel":"images","href":"/dashboards/21686/images"},{"rel":"thumbnails","href":"/dashboards/21686/thumbnails"}]},{"id":13786,"status":1,"statusCode":"active","orgId":1,"orgSlug":"raintank","orgName":"Grafana Labs","slug":"grafana-usage-insights-datasource-details","downloads":2354,"revisionId":24525,"revision":3,"name":"Grafana Usage insights datasource details","description":"Grafana Usage insights datasource details for use with the Loki datasource","readme":"Grafana Usage insights detail view per data source, for use with the Loki datasource\n\nWorks in conjunction with the usage insights overview dashboard: \n\nhttps://grafana.com/grafana/dashboards/13785","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2021-01-27T08:48:44.000Z","updatedAt":"2022-04-25T15:33:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13786"},{"rel":"revisions","href":"/dashboards/13786/revisions"},{"rel":"revision","href":"/dashboards/13786/revisions/3"},{"rel":"download","href":"/dashboards/13786/revisions/3/download"},{"rel":"org","href":"/orgs/raintank"},{"rel":"images","href":"/dashboards/13786/images"},{"rel":"thumbnails","href":"/dashboards/13786/thumbnails"}],"datasourceSlugs":["loki"]},{"id":12203,"status":1,"statusCode":"active","orgId":5000,"orgSlug":"grafana","orgName":"Grafana Labs","slug":"grafana-image-renderer","downloads":6393,"revisionId":38914,"revision":3,"name":"grafana-image-renderer","description":"Monitor your grafana-image-renderer deployment.","readme":"Monitor the [Grafana Image Renderer plugin](https://grafana.com/grafana/plugins/grafana-image-renderer/) when running it as a [remote rendering service](https://github.com/grafana/grafana-image-renderer#remote-rendering-service-installation).\r\n\r\n## Rendering service configuration\r\n\r\nThe remote rendering service doesn't per default collect and expose a Prometheus /metrics endpoint. To enable it, provide an environment variable `ENABLE_METRICS=true` when starting the rendering service.\r\n\r\nAs an alternative you can provide a configuration file, see [here](https://github.com/grafana/grafana-image-renderer/blob/master/docs/remote_rendering_using_docker.md#configuration-file) for details. With this approach, besides enable metrics, you can configure a few other things:\r\n- Collect the default metrics (NodeJS application metrics). Enabled per default. For example, this [dashboard](https://grafana.com/grafana/dashboards/11159) can be used to monitor a NodeJS application. \r\n- Change what buckets to use for the `grafana_image_renderer_service_http_request_duration_seconds_bucket` metric.\r\n- Collect [timing metrics](https://github.com/grafana/grafana-image-renderer/blob/master/default.json#L42) for every rendering request.\r\n\r\nWhen metrics are enabled, you'll find the Prometheus /metrics endpoint at `http://<rendering service host>:<rendering service port>/metrics`.\r\n\r\n## Prometheus configuration\r\n\r\nConfigure your Prometheus instance to scrape the image rendering service, e.g.\r\n\r\n```yaml\r\nscrape_configs:\r\n  - job_name: 'grafana-image-rendering-service'\r\n    static_configs:\r\n      - targets: ['<rendering service host>:<rendering service port>']\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2020-04-30T08:56:46.000Z","updatedAt":"2025-11-06T08:43:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12203"},{"rel":"revisions","href":"/dashboards/12203/revisions"},{"rel":"revision","href":"/dashboards/12203/revisions/3"},{"rel":"download","href":"/dashboards/12203/revisions/3/download"},{"rel":"org","href":"/orgs/grafana"},{"rel":"images","href":"/dashboards/12203/images"},{"rel":"thumbnails","href":"/dashboards/12203/thumbnails"}]},{"id":10283,"status":1,"statusCode":"active","orgId":255164,"orgSlug":"akmibey","orgName":"akmibey","slug":"grafana-prometheus-node-exporter-host-metrics-dashboard","downloads":1793,"revisionId":14387,"revision":1,"name":"Grafana-Prometheus-Node_Exporter_Host_Metrics_Dashboard","description":"This is a simple Grafana Dashboard to display Host Metrics such CPU, Memory, DISK IO, Load Average, collected using the Node Exporter","readme":"This is a simple Grafana Dashboard to display Host Metrics such CPU, Memory, DISK IO, Load Average, collected using the Prometheus Node Exporter","collectorType":"nodeExporter","collectorConfig":"","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-06-02T14:22:33.000Z","updatedAt":"2019-06-02T14:49:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10283"},{"rel":"revisions","href":"/dashboards/10283/revisions"},{"rel":"revision","href":"/dashboards/10283/revisions/1"},{"rel":"download","href":"/dashboards/10283/revisions/1/download"},{"rel":"org","href":"/orgs/akmibey"},{"rel":"images","href":"/dashboards/10283/images"},{"rel":"thumbnails","href":"/dashboards/10283/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12158,"status":1,"statusCode":"active","orgId":374103,"orgSlug":"yanchenkoigor","orgName":"yanchenkoigor","slug":"grafana-prometheus-node-exporter-host-metrics-dashboard","downloads":561,"revisionId":17298,"revision":1,"name":"Grafana-Prometheus-Node_Exporter_Host_Metrics_Dashboard","description":"This is a simple Grafana Dashboard to display Host Metrics such CPU, Memory, DISK IO, Load Average, collected using the Node Exporter","readme":"A copy of 10283, with a fixed bug: if node-exporter pod was redeployed, original dashboard returned an error in system uptime field about multiple series returned, also if node was rebooted recently, it could return the same error.\r\n```\r\n- time() - node_boot_time_seconds{instance=~\"$node\"}\r\n+ time() - (max by (instance) (node_boot_time_seconds{instance=~\"$node\"}))\r\n```","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-23T06:49:54.000Z","updatedAt":"2020-04-23T06:56:38.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/12158"},{"rel":"revisions","href":"/dashboards/12158/revisions"},{"rel":"revision","href":"/dashboards/12158/revisions/1"},{"rel":"download","href":"/dashboards/12158/revisions/1/download"},{"rel":"org","href":"/orgs/yanchenkoigor"},{"rel":"images","href":"/dashboards/12158/images"},{"rel":"thumbnails","href":"/dashboards/12158/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16896,"status":1,"statusCode":"active","orgId":703456,"orgSlug":"irisloveli","orgName":"irisloveli","slug":"grafana-zabbix-dashboard","downloads":881,"revisionId":25920,"revision":1,"name":"Grafana-Zabbix Dashboard","description":"Grafana-Zabbix","readme":"数据源-zabbix5.0\r\ngrafana-zabbix通过zabbix分组划分hosts，查看zabbix监控指标。","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2022-09-09T06:50:23.000Z","updatedAt":"2022-09-09T07:05:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16896"},{"rel":"revisions","href":"/dashboards/16896/revisions"},{"rel":"revision","href":"/dashboards/16896/revisions/1"},{"rel":"download","href":"/dashboards/16896/revisions/1/download"},{"rel":"org","href":"/orgs/irisloveli"},{"rel":"images","href":"/dashboards/16896/images"},{"rel":"thumbnails","href":"/dashboards/16896/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":16812,"status":1,"statusCode":"active","orgId":582917,"orgSlug":"fluiditymoney","orgName":"fluiditymoney","slug":"grafanacloud-billing","downloads":273,"revisionId":25777,"revision":1,"name":"GrafanaCloud Billing","description":"GrafanaCloud User dashboard for viewing metrics related to billing.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-08-30T01:11:00.000Z","updatedAt":"2022-08-30T01:11:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16812"},{"rel":"revisions","href":"/dashboards/16812/revisions"},{"rel":"revision","href":"/dashboards/16812/revisions/1"},{"rel":"download","href":"/dashboards/16812/revisions/1/download"},{"rel":"org","href":"/orgs/fluiditymoney"},{"rel":"images","href":"/dashboards/16812/images"},{"rel":"thumbnails","href":"/dashboards/16812/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11539,"status":1,"statusCode":"active","orgId":5000,"orgSlug":"grafana","orgName":"Grafana Labs","slug":"grafanacloud-logs-billing-usage","downloads":796,"revisionId":16258,"revision":1,"name":"GrafanaCloud Logs Billing/Usage","description":"GrafanaCloud Hosted Logs Billing and Usage Information","readme":"# GrafanaCloud Logs Billing Dashboard\r\n\r\nThis dashboard was designed to give GrafanaCloud customers insight into the data used to calculate billing and pricing for their hosted logs instances. It provides visualizations of billing relevant information such as average ingestion rate, daily ingestion rate and total ingestion rate. It also gives insight into any series that were discarded upon ingestion due to a variety of reasons.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-09T23:46:07.000Z","updatedAt":"2020-01-09T23:49:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11539"},{"rel":"revisions","href":"/dashboards/11539/revisions"},{"rel":"revision","href":"/dashboards/11539/revisions/1"},{"rel":"download","href":"/dashboards/11539/revisions/1/download"},{"rel":"org","href":"/orgs/grafana"},{"rel":"images","href":"/dashboards/11539/images"},{"rel":"thumbnails","href":"/dashboards/11539/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20491,"status":1,"statusCode":"active","orgId":952783,"orgSlug":"cboudereau","orgName":"cboudereau","slug":"grafanacloud-monitoring-audit-log","downloads":1812,"revisionId":35726,"revision":5,"name":"GrafanaCloud Monitoring / Audit Log","description":"GrafanaCloud Monitoring / Audit Log using GrafanaCloud telemetry","readme":"# GrafanaCloud Monitoring / Audit log\r\n\r\nThis dashboard helps to monitor activity by user for security reason and is useful for companies needing audit logs for security purpose.\r\n\r\nIt is useful to understand the activity and identify abuse of usage to quickly fix usage / quota and best practices.\r\n\r\n![Header](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/grafanacloud/auditlog/0_Header.png)\r\n\r\n## Audit log volume\r\n![Audit log volume](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/grafanacloud/auditlog/1_audit_log_volume.png)\r\n\r\n## Audit log by user\r\n![Audit log by user](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/grafanacloud/auditlog/2_audit_log_by_user.png)\r\n\r\n## Usage Stats\r\n![Usage Stats](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/grafanacloud/auditlog/3_usage_stats.png)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2024-02-16T10:00:57.000Z","updatedAt":"2025-01-08T13:42:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20491"},{"rel":"revisions","href":"/dashboards/20491/revisions"},{"rel":"revision","href":"/dashboards/20491/revisions/5"},{"rel":"download","href":"/dashboards/20491/revisions/5/download"},{"rel":"org","href":"/orgs/cboudereau"},{"rel":"images","href":"/dashboards/20491/images"},{"rel":"thumbnails","href":"/dashboards/20491/thumbnails"}],"datasourceSlugs":["loki"]},{"id":20492,"status":1,"statusCode":"active","orgId":952783,"orgSlug":"cboudereau","orgName":"cboudereau","slug":"grafanacloud-monitoring-billing-usage","downloads":514,"revisionId":35144,"revision":11,"name":"GrafanaCloud Monitoring / Billing / Usage","description":"GrafanaCloud Monitoring / Billing / Usage using GrafanaCloud usage telemetry","readme":"# GrafanaCloud Monitoring / Billing / Usage\r\n\r\nThis dashboard helps GrafanaCloud admin to monitor telemetry rate limiting, drops and errors to increase quotas for GrafanaCloud.\r\n\r\n![Header](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/grafanacloud/monitoring/0_Header.png)\r\n\r\n## Costs\r\n![Costs](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/grafanacloud/monitoring/0_costs.png)\r\n\r\n## Alerting\r\n![Alerting](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/grafanacloud/monitoring/1_alerting.png)\r\n\r\n## Billing per tenant\r\n![Billing per tenant](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/grafanacloud/monitoring/2_billing_per_tenant.png)\r\n\r\n## Billing usage\r\n![Billing usage](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/grafanacloud/monitoring/3_billable_usage.png)\r\n\r\n## Saturation\r\n![Saturation](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/grafanacloud/monitoring/4_saturation.png)\r\n![Saturation](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/grafanacloud/monitoring/4_saturation_2.png)\r\n\r\n## Errors\r\n![Errors](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/grafanacloud/monitoring/5_errors.png)\r\n\r\n## Top Dashboard\r\n![Top Dashboard](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/grafanacloud/monitoring/6_top_dashboards.png)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, Prometheus, Loki","privacy":"public","createdAt":"2024-02-16T10:08:46.000Z","updatedAt":"2025-01-08T13:51:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20492"},{"rel":"revisions","href":"/dashboards/20492/revisions"},{"rel":"revision","href":"/dashboards/20492/revisions/11"},{"rel":"download","href":"/dashboards/20492/revisions/11/download"},{"rel":"org","href":"/orgs/cboudereau"},{"rel":"images","href":"/dashboards/20492/images"},{"rel":"thumbnails","href":"/dashboards/20492/thumbnails"}],"datasourceSlugs":["__expr__","loki","prometheus"]},{"id":11678,"status":1,"statusCode":"active","orgId":341857,"orgSlug":"iokk","orgName":"koki kimyoungmin","slug":"hosted-metrics-usage-summary","downloads":320,"revisionId":16493,"revision":1,"name":"grafanacomorgskoki","description":"Key usage and performance statistics of a Grafana Cloud Hosted Metrics service.","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"filesystem","datasource":"Graphite","privacy":"public","createdAt":"2020-01-31T20:50:33.000Z","updatedAt":"2020-01-31T20:55:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11678"},{"rel":"revisions","href":"/dashboards/11678/revisions"},{"rel":"revision","href":"/dashboards/11678/revisions/1"},{"rel":"download","href":"/dashboards/11678/revisions/1/download"},{"rel":"org","href":"/orgs/iokk"},{"rel":"images","href":"/dashboards/11678/images"},{"rel":"thumbnails","href":"/dashboards/11678/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":22349,"status":1,"statusCode":"active","orgId":1236222,"orgSlug":"antoniojmsjr","orgName":"antoniojmsjr","slug":"grafanalokilogger","downloads":504,"revisionId":35096,"revision":1,"name":"GrafanaLokiLogger","description":"This dashboard was developed to simplify log management and queries using the GrafanaLokiLogger library.","readme":"This dashboard was developed to simplify log management and queries using the [GrafanaLokiLogger](https://github.com/antoniojmsjr/GrafanaLokiLogger) library. It enables centralized and organized log visualization, providing efficiency in monitoring and event analysis. Ideal for systems requiring detailed tracking, the panel offers integration with Loki, ensuring flexibility and scalability in log management.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2024-11-18T02:57:13.000Z","updatedAt":"2024-11-18T02:58:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22349"},{"rel":"revisions","href":"/dashboards/22349/revisions"},{"rel":"revision","href":"/dashboards/22349/revisions/1"},{"rel":"download","href":"/dashboards/22349/revisions/1/download"},{"rel":"org","href":"/orgs/antoniojmsjr"},{"rel":"images","href":"/dashboards/22349/images"},{"rel":"thumbnails","href":"/dashboards/22349/thumbnails"}],"datasourceSlugs":["loki"]},{"id":3422,"status":1,"statusCode":"active","orgId":31709,"orgSlug":"kirilldanshin","orgName":"kirilldanshin","slug":"gramework-stats","downloads":429,"revisionId":4724,"revision":1,"name":"Gramework Stats","description":"Dashboard made for metrics middleware for https://github.com/gramework/gramework","readme":"Dashboard made for [gramework](https://github.com/gramework/gramework)'s `metrics` middleware\r\n\r\nPlug-n-analyze integration, just add /metrics of your service to prometheus targets","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-10-11T03:44:10.000Z","updatedAt":"2017-10-11T04:33:01.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3422"},{"rel":"revisions","href":"/dashboards/3422/revisions"},{"rel":"revision","href":"/dashboards/3422/revisions/1"},{"rel":"download","href":"/dashboards/3422/revisions/1/download"},{"rel":"org","href":"/orgs/kirilldanshin"},{"rel":"images","href":"/dashboards/3422/images"},{"rel":"thumbnails","href":"/dashboards/3422/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6146,"status":1,"statusCode":"active","orgId":130557,"orgSlug":"kingsy22","orgName":"Andrew Mccudden","slug":"51-com","downloads":393,"revisionId":8369,"revision":1,"name":"Granfana Plex","description":"???","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2018-05-17T20:51:40.000Z","updatedAt":"2018-05-17T20:52:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6146"},{"rel":"revisions","href":"/dashboards/6146/revisions"},{"rel":"revision","href":"/dashboards/6146/revisions/1"},{"rel":"download","href":"/dashboards/6146/revisions/1/download"},{"rel":"org","href":"/orgs/kingsy22"},{"rel":"images","href":"/dashboards/6146/images"},{"rel":"thumbnails","href":"/dashboards/6146/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":20967,"status":1,"statusCode":"active","orgId":1112298,"orgSlug":"thomasthelen","orgName":"thomasthelen","slug":"graphdb","downloads":268,"revisionId":32567,"revision":1,"name":"GraphDB","description":"Dashboard for monitoring GraphDB","readme":"# GraphDB Grafana Dashboard\r\n\r\n[Grafana dashboard for GraphDB](https://github.com/KnowWhereGraph/GraphDB-grafana-dashboard)\r\n\r\n## Background\r\n\r\nOntotext provides a Grafana dashboard for Enterprise users, but doesn't provide a dashboard for the free version. This repository contains a dashboard that scrapes data from Prometheus, which is in turn scraping data from GraphDB's metrics endpoint (you need Prometheus for this).\r\n\r\n## Dashboard\r\n\r\nThe dashboard exposes *most* of the metrics that GraphDB provides. This is limited to system level metrics such as space constraints, memory, and heap usage.\r\n\r\n- graphdb_cache_hit\r\n- graphdb_cache_miss\r\n- graphdb_class_count\r\n- graphdb_heap_max_mem\r\n- graphdb_heap_used_mem\r\n- graphdb_nonheap_committed_mem\r\n- graphdb_heap_committed_mem\r\n- graphdb_nonheap_used_mem\r\n- graphdb_cpu_load\r\n- graphdb_open_file_descriptors\r\n- graphdb_logs_dir_free\r\n- graphdb_logs_dir_used\r\n- graphdb_data_dir_used\r\n- graphdb_data_dir_free\r\n- graphdb_work_dir_free\r\n- graphdb_work_dir_used\r\n\r\n![Grafana Dashboard](./images/dashboard.png \"Grafana Dashboard\")\r\n\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-28T23:59:09.000Z","updatedAt":"2024-04-29T00:00:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20967"},{"rel":"revisions","href":"/dashboards/20967/revisions"},{"rel":"revision","href":"/dashboards/20967/revisions/1"},{"rel":"download","href":"/dashboards/20967/revisions/1/download"},{"rel":"org","href":"/orgs/thomasthelen"},{"rel":"images","href":"/dashboards/20967/images"},{"rel":"thumbnails","href":"/dashboards/20967/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23327,"status":1,"statusCode":"active","orgId":1405507,"orgSlug":"jhajali","orgName":"jhajali","slug":"graphenedb-neo4j-databases","downloads":261,"revisionId":36997,"revision":1,"name":"GrapheneDB Neo4j Databases","description":"Dashboard to explore neo4j metrics hosted in graphendb","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-25T08:14:01.000Z","updatedAt":"2025-04-25T08:15:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23327"},{"rel":"revisions","href":"/dashboards/23327/revisions"},{"rel":"revision","href":"/dashboards/23327/revisions/1"},{"rel":"download","href":"/dashboards/23327/revisions/1/download"},{"rel":"org","href":"/orgs/jhajali"},{"rel":"images","href":"/dashboards/23327/images"},{"rel":"thumbnails","href":"/dashboards/23327/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":43,"status":1,"statusCode":"active","orgId":10045,"orgSlug":"torkel","orgName":"Torkel Ödegaard","slug":"graphite-carbon-metrics","downloads":1998,"revisionId":55,"revision":2,"name":"Graphite Carbon Metrics","description":"","readme":"Simple Carbon agent overview dashboard. \r\n\r\n## Graph Panels\r\n* Updates, Creates, Metrics Received, Committed Points\r\n* CPU Usage\r\n* Points Per Update\r\n\r\n##  Help Make this dashboard better\r\nFor feedback and ideas to improve this dashboard please open an issue here: \r\n[https://github.com/torkelo/dashboards](https://github.com/torkelo/dashboards)\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2016-06-23T10:11:18.000Z","updatedAt":"2016-06-23T10:26:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/43"},{"rel":"revisions","href":"/dashboards/43/revisions"},{"rel":"revision","href":"/dashboards/43/revisions/2"},{"rel":"download","href":"/dashboards/43/revisions/2/download"},{"rel":"org","href":"/orgs/torkel"},{"rel":"images","href":"/dashboards/43/images"},{"rel":"thumbnails","href":"/dashboards/43/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":311,"status":1,"statusCode":"active","orgId":17182,"orgSlug":"obfuscurity","orgName":"obfuscurity","slug":"graphite-carbon-metrics-obfuscurity","downloads":2628,"revisionId":540,"revision":7,"name":"Graphite Carbon Metrics (obfuscurity)","description":"Obfuscurity's \"extended remix\" of the Graphite Carbon Metrics dashboard","readme":"This is a more exhaustive take on the original Graphite Carbon Metrics dashboard. Aside from some minor metric fixes, it adds new panels for memory footprint and cache details (keys & datapoints in cache, avg number of datapoints per key, etc).\r\n\r\nNote that while the first half of the dashboard relies on Carbon's predictable naming format (`carbon.agents.*`), the latter half uses collectd metrics that vary according to the Graphite server's hostname. The dashboard is currently opinionated to assume a hostname of \"graphite\" (i.e. `collectd.graphite.*`) although I'm hoping to find time to leverage Grafana's new templating support to make this more dynamic. If your naming schema doesn't match mine, you'll need to update the affected panels' query definitions.\r\n\r\n* Carbon Metrics\r\n  * Updates/sec (write ops)\r\n  * Metrics received/sec (ingress)\r\n  * Committed points/sec (datapoints written to disk)\r\n  * Creates/sec (new Whisper files)\r\n  * CPU (avg across Cache instances)\r\n  * Points per Update (avg across Cache instances)\r\n* Carbon Memory & CPU\r\n* Metric keys in Cache (unique metric names)\r\n* Datapoints in Cache\r\n* Relay Destination Queue Length (datapoints queued per destination)\r\n* Average datapoints per key in Cache\r\n* Datapoints received during full cache\r\n* Average Relay Batch Size (average number of datapoints per relay transmission)\r\n* Disk write ops and write time (requires collectd [disk](https://collectd.org/wiki/index.php/Plugin:Disk) plugin)\r\n* Metric retrieval time (requires collectd [tail](https://collectd.org/wiki/index.php/Plugin:Tail) plugin and [this configuration](https://gist.github.com/jssjr/7159484))\r\n* Network traffic (requires collectd [interface](https://collectd.org/wiki/index.php/Plugin:Interface) plugin)\r\n* Load (requires collectd [load](https://collectd.org/wiki/index.php/Plugin:Load) plugin)\r\n* CPU (by state, requires collectd [cpu](https://collectd.org/wiki/index.php/Plugin:CPU) plugin)\r\n","collectorType":"collectd","collectorConfig":"<Plugin \"tail\">\r\n\r\n\t# cache performance\r\n\t<File \"/opt/graphite/storage/log/webapp/cache.log\">\r\n\t\tInstance \"graphite_web\"\r\n\t\t<Match>\r\n\t\t\tRegex \"Request-Cache hit \"\r\n\t\t\tDSType \"CounterInc\"\r\n\t\t\tType \"counter\"\r\n\t\t\tInstance \"request_cache_hit\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Request-Cache miss \"\r\n\t\t\tDSType \"CounterInc\"\r\n\t\t\tType \"counter\"\r\n\t\t\tInstance \"request_cache_miss\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"CarbonLink creating a new socket \"\r\n\t\t\tDSType \"CounterInc\"\r\n\t\t\tType \"counter\"\r\n\t\t\tInstance \"socket_create_count\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"CarbonLink cache-query request \"\r\n\t\t\tDSType \"CounterInc\"\r\n\t\t\tType \"counter\"\r\n\t\t\tInstance \"query_count\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"CarbonLink set-metadata request \"\r\n\t\t\tDSType \"CounterInc\"\r\n\t\t\tType \"counter\"\r\n\t\t\tInstance \"set-metadata_count\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Data-Cache hit \"\r\n\t\t\tDSType \"CounterInc\"\r\n\t\t\tType \"counter\"\r\n\t\t\tInstance \"data_cache_hit\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Data-Cache miss \"\r\n\t\t\tDSType \"CounterInc\"\r\n\t\t\tType \"counter\"\r\n\t\t\tInstance \"data_cache_miss\"\r\n\t\t</Match>\r\n\t</File>\r\n\r\n\t# rendering performance\r\n\t<File \"/opt/graphite/storage/log/webapp/rendering.log\">\r\n\t\tInstance \"graphite_web\"\r\n\r\n\t\t# PNG's\r\n\t\t<Match>\r\n\t\t\tRegex \"Rendered PNG in ([0-9\\.]+) seconds\"\r\n\t\t\tDSType \"CounterInc\"\r\n\t\t\tType \"requests\"\r\n\t\t\tInstance \"render_png_count\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Rendered PNG in ([0-9\\.]+) seconds\"\r\n\t\t\tDSType \"GaugeMin\"\r\n\t\t\tType \"response_time\"\r\n\t\t\tInstance \"render_png_time_min\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Rendered PNG in ([0-9\\.]+) seconds\"\r\n\t\t\tDSType \"GaugeMax\"\r\n\t\t\tType \"response_time\"\r\n\t\t\tInstance \"render_png_time_max\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Rendered PNG in ([0-9\\.]+) seconds\"\r\n\t\t\tDSType \"GaugeAverage\"\r\n\t\t\tType \"response_time\"\r\n\t\t\tInstance \"render_png_time_avg\"\r\n\t\t</Match>\r\n\r\n\t\t# pickle (carbonlink)\r\n\t\t<Match>\r\n\t\t\tRegex \"Total pickle rendering time ([0-9\\.]+)\"\r\n\t\t\tDSType \"CounterInc\"\r\n\t\t\tType \"counter\"\r\n\t\t\tInstance \"render_pickle_count\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Total pickle rendering time ([0-9\\.]+)\"\r\n\t\t\tDSType \"GaugeMin\"\r\n\t\t\tType \"response_time\"\r\n\t\t\tInstance \"render_pickle_time_min\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Total pickle rendering time ([0-9\\.]+)\"\r\n\t\t\tDSType \"GaugeMax\"\r\n\t\t\tType \"response_time\"\r\n\t\t\tInstance \"render_pickle_time_max\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Total pickle rendering time ([0-9\\.]+)\"\r\n\t\t\tDSType \"GaugeAverage\"\r\n\t\t\tType \"response_time\"\r\n\t\t\tInstance \"render_pickle_time_avg\"\r\n\t\t</Match>\r\n\r\n\t\t# rawData (json, csv, etc)\r\n\t\t<Match>\r\n\t\t\tRegex \"Total rawData rendering time ([0-9\\.]+)\"\r\n\t\t\tDSType \"CounterInc\"\r\n\t\t\tType \"counter\"\r\n\t\t\tInstance \"render_rawdata_count\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Total rawData rendering time ([0-9\\.]+)\"\r\n\t\t\tDSType \"GaugeMin\"\r\n\t\t\tType \"response_time\"\r\n\t\t\tInstance \"render_rawdata_time_min\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Total rawData rendering time ([0-9\\.]+)\"\r\n\t\t\tDSType \"GaugeMax\"\r\n\t\t\tType \"response_time\"\r\n\t\t\tInstance \"render_rawdata_time_max\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Total rawData rendering time ([0-9\\.]+)\"\r\n\t\t\tDSType \"GaugeAverage\"\r\n\t\t\tType \"response_time\"\r\n\t\t\tInstance \"render_rawdata_time_avg\"\r\n\t\t</Match>\r\n\r\n\t\t# total render time\r\n\t\t<Match>\r\n\t\t\tRegex \"Total rendering time ([0-9\\.]+) seconds\"\r\n\t\t\tDSType \"CounterInc\"\r\n\t\t\tType \"counter\"\r\n\t\t\tInstance \"total_render_count\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Total rendering time ([0-9\\.]+) seconds\"\r\n\t\t\tDSType \"GaugeMin\"\r\n\t\t\tType \"response_time\"\r\n\t\t\tInstance \"total_render_time_min\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Total rendering time ([0-9\\.]+) seconds\"\r\n\t\t\tDSType \"GaugeMax\"\r\n\t\t\tType \"response_time\"\r\n\t\t\tInstance \"total_render_time_max\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Total rendering time ([0-9\\.]+) seconds\"\r\n\t\t\tDSType \"GaugeAverage\"\r\n\t\t\tType \"response_time\"\r\n\t\t\tInstance \"total_render_time_avg\"\r\n\t\t</Match>\r\n\r\n\t\t# cached response time\r\n\t\t<Match>\r\n\t\t\tRegex \"Returned cached response in ([0-9\\.]+) seconds\"\r\n\t\t\tDSType \"CounterInc\"\r\n\t\t\tType \"counter\"\r\n\t\t\tInstance \"cached_response_time_count\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Returned cached response in ([0-9\\.]+) seconds\"\r\n\t\t\tDSType \"GaugeMin\"\r\n\t\t\tType \"response_time\"\r\n\t\t\tInstance \"cached_response_time_min\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Returned cached response in ([0-9\\.]+) seconds\"\r\n\t\t\tDSType \"GaugeMax\"\r\n\t\t\tType \"response_time\"\r\n\t\t\tInstance \"cached_response_time_max\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Returned cached response in ([0-9\\.]+) seconds\"\r\n\t\t\tDSType \"GaugeAverage\"\r\n\t\t\tType \"response_time\"\r\n\t\t\tInstance \"cached_response_time_avg\"\r\n\t\t</Match>\r\n\r\n\t\t# data retrieval time\r\n\t\t<Match>\r\n\t\t\tRegex \"Retrieval of [^ ]+ took ([0-9\\.]+)\"\r\n\t\t\tDSType \"CounterInc\"\r\n\t\t\tType \"counter\"\r\n\t\t\tInstance \"retrieval_count\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Retrieval of [^ ]+ took ([0-9\\.]+)\"\r\n\t\t\tDSType \"GaugeMin\"\r\n\t\t\tType \"response_time\"\r\n\t\t\tInstance \"retrieval_time_min\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Retrieval of [^ ]+ took ([0-9\\.]+)\"\r\n\t\t\tDSType \"GaugeMax\"\r\n\t\t\tType \"response_time\"\r\n\t\t\tInstance \"retrieval_time_max\"\r\n\t\t</Match>\r\n\t\t<Match>\r\n\t\t\tRegex \"Retrieval of [^ ]+ took ([0-9\\.]+)\"\r\n\t\t\tDSType \"GaugeAverage\"\r\n\t\t\tType \"response_time\"\r\n\t\t\tInstance \"retrieval_time_avg\"\r\n\t\t</Match>\r\n\t</File>\r\n</Plugin>\r\n","collectorPluginList":"Disk plugin, Tail plugin, Interface plugin, Load plugin, CPU plugin","datasource":"Graphite","privacy":"public","createdAt":"2016-08-12T16:22:02.000Z","updatedAt":"2016-09-08T19:40:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/311"},{"rel":"revisions","href":"/dashboards/311/revisions"},{"rel":"revision","href":"/dashboards/311/revisions/7"},{"rel":"download","href":"/dashboards/311/revisions/7/download"},{"rel":"org","href":"/orgs/obfuscurity"},{"rel":"images","href":"/dashboards/311/images"},{"rel":"thumbnails","href":"/dashboards/311/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":11221,"status":1,"statusCode":"active","orgId":314470,"orgSlug":"lazyfrosch","orgName":"lazyfrosch","slug":"graphite-go-carbon-metrics","downloads":480,"revisionId":15661,"revision":1,"name":"Graphite Go-Carbon Metrics","description":"For the metrics of the go-carbon implementation as alternative to the original Python carbon.","readme":"[go-carbon](https://github.com/lomik/go-carbon) brings slightly different metrics than the original Python implementation of carbon.\n\nThis dashboard tires to give you an overview over the current throughput.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2019-11-18T15:16:16.000Z","updatedAt":"2019-11-18T15:19:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11221"},{"rel":"revisions","href":"/dashboards/11221/revisions"},{"rel":"revision","href":"/dashboards/11221/revisions/1"},{"rel":"download","href":"/dashboards/11221/revisions/1/download"},{"rel":"org","href":"/orgs/lazyfrosch"},{"rel":"images","href":"/dashboards/11221/images"},{"rel":"thumbnails","href":"/dashboards/11221/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":947,"status":1,"statusCode":"active","orgId":15233,"orgSlug":"trevor","orgName":"Trevor Dodds","slug":"graphite-server-carbon-metrics","downloads":1558,"revisionId":1361,"revision":1,"name":"Graphite Server (Carbon Metrics)","description":"Graphite Carbon Cache Metrics","readme":"Uses the default graphite carbon cache metrics. Should work out of the box. ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2016-11-22T21:59:59.000Z","updatedAt":"2016-11-22T22:02:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/947"},{"rel":"revisions","href":"/dashboards/947/revisions"},{"rel":"revision","href":"/dashboards/947/revisions/1"},{"rel":"download","href":"/dashboards/947/revisions/1/download"},{"rel":"org","href":"/orgs/trevor"},{"rel":"images","href":"/dashboards/947/images"},{"rel":"thumbnails","href":"/dashboards/947/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":20021,"status":1,"statusCode":"active","orgId":993934,"orgSlug":"indrashish","orgName":"indrashish","slug":"graphite-templated-nested","downloads":274,"revisionId":30779,"revision":1,"name":"Graphite Templated Nested","description":"test","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2023-11-22T08:42:59.000Z","updatedAt":"2023-11-22T08:43:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20021"},{"rel":"revisions","href":"/dashboards/20021/revisions"},{"rel":"revision","href":"/dashboards/20021/revisions/1"},{"rel":"download","href":"/dashboards/20021/revisions/1/download"},{"rel":"org","href":"/orgs/indrashish"},{"rel":"images","href":"/dashboards/20021/images"},{"rel":"thumbnails","href":"/dashboards/20021/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":9559,"status":1,"statusCode":"active","orgId":225578,"orgSlug":"sobaka","orgName":"sobaka","slug":"agents","downloads":425,"revisionId":13211,"revision":2,"name":"graphite-carbon agents stats","description":"show insternal stats agents graphite carbon","readme":"To view internal statistic of graphite-carbon - six graphs:\r\n- cache\r\n- statistic (events)\r\n- avg update time\r\n- updates\r\n- cpu usage\r\n- memory usage\r\n\r\nIn carbon.conf, by default, carbon itself will log statistics (such as a count, metricsReceived) with the top level prefix of 'carbon' at an interval of 60 seconds. Set CARBON_METRIC_INTERVAL to 0 to disable instrumentation\r\n- CARBON_METRIC_PREFIX = carbon\r\n- CARBON_METRIC_INTERVAL = 60\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2018-12-20T10:42:01.000Z","updatedAt":"2020-06-10T11:12:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9559"},{"rel":"revisions","href":"/dashboards/9559/revisions"},{"rel":"revision","href":"/dashboards/9559/revisions/2"},{"rel":"download","href":"/dashboards/9559/revisions/2/download"},{"rel":"org","href":"/orgs/sobaka"},{"rel":"images","href":"/dashboards/9559/images"},{"rel":"thumbnails","href":"/dashboards/9559/thumbnails"}]},{"id":20015,"status":1,"statusCode":"active","orgId":993934,"orgSlug":"indrashish","orgName":"indrashish","slug":"graphite-wikimedia-com-metrics","downloads":283,"revisionId":30771,"revision":1,"name":"Graphite: wikimedia.com metrics","description":"testing","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2023-11-21T14:18:24.000Z","updatedAt":"2023-11-21T14:18:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20015"},{"rel":"revisions","href":"/dashboards/20015/revisions"},{"rel":"revision","href":"/dashboards/20015/revisions/1"},{"rel":"download","href":"/dashboards/20015/revisions/1/download"},{"rel":"org","href":"/orgs/indrashish"},{"rel":"images","href":"/dashboards/20015/images"},{"rel":"thumbnails","href":"/dashboards/20015/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":19122,"status":1,"statusCode":"active","orgId":894184,"orgSlug":"hasurahq","orgName":"hasurahq","slug":"graphql-engine-event-cron-trigger","downloads":429,"revisionId":33248,"revision":2,"name":"GraphQL Engine Event & Cron Trigger","description":"The collection of Hasura Event and Cron trigger metrics","readme":"The dashboard visualizes Prometheus metrics about Event Trigger and Cron Trigger that are emitted from Hasura GraphQL Engine Enterprise Edition. See [Prometheus Integration with Hasura EE](https://hasura.io/docs/latest/observability/enterprise-edition/prometheus/integrate-prometheus-grafana/) for more information. \r\n\r\n> You need to enable Hasura EE with a valid license key. If you don't have one, you can get a license key via a [30-day free trial](https://hasura.io/docs/latest/enterprise/try-hasura-enterprise-edition/) or by contacting the [Hasura team](sales@hasura.io).\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-06T13:46:16.000Z","updatedAt":"2024-06-19T08:42:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19122"},{"rel":"revisions","href":"/dashboards/19122/revisions"},{"rel":"revision","href":"/dashboards/19122/revisions/2"},{"rel":"download","href":"/dashboards/19122/revisions/2/download"},{"rel":"org","href":"/orgs/hasurahq"},{"rel":"images","href":"/dashboards/19122/images"},{"rel":"thumbnails","href":"/dashboards/19122/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21363,"status":1,"statusCode":"active","orgId":894184,"orgSlug":"hasurahq","orgName":"hasurahq","slug":"hasura-opentelemetry","downloads":277,"revisionId":33246,"revision":1,"name":"GraphQL Engine OpenTelemetry","description":"Hasura GraphQL Engine dashboards for monitoring OpenTelemetry exporter","readme":"The dashboard visualizes Prometheus metrics of OpenTelemetry reliability that are emitted from Hasura GraphQL Engine Enterprise Edition. See [Prometheus Integration with Hasura EE](https://hasura.io/docs/latest/observability/enterprise-edition/prometheus/integrate-prometheus-grafana/) for more information. \r\n\r\n> You need to enable Hasura EE with a valid license key. If you don't have one, you can get a license key via a [30-day free trial](https://hasura.io/docs/latest/enterprise/try-hasura-enterprise-edition/) or by contacting the [Hasura team](sales@hasura.io).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-19T07:02:30.000Z","updatedAt":"2024-06-19T07:12:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21363"},{"rel":"revisions","href":"/dashboards/21363/revisions"},{"rel":"revision","href":"/dashboards/21363/revisions/1"},{"rel":"download","href":"/dashboards/21363/revisions/1/download"},{"rel":"org","href":"/orgs/hasurahq"},{"rel":"images","href":"/dashboards/21363/images"},{"rel":"thumbnails","href":"/dashboards/21363/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19864,"status":1,"statusCode":"active","orgId":974458,"orgSlug":"mrtdlb","orgName":"mrtdlb","slug":"graphql","downloads":451,"revisionId":30521,"revision":1,"name":"GraphQL Envelop","description":"GraphQL dashboard based on the Envelop wrapper by The Guild\r\n👉 https://the-guild.dev/graphql/envelop/plugins/use-prometheus","readme":"Use a filter based on environment variable. If you don't need it, you'll first have to remove it to see the charts.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-10-26T11:32:48.000Z","updatedAt":"2023-10-26T13:09:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19864"},{"rel":"revisions","href":"/dashboards/19864/revisions"},{"rel":"revision","href":"/dashboards/19864/revisions/1"},{"rel":"download","href":"/dashboards/19864/revisions/1/download"},{"rel":"org","href":"/orgs/mrtdlb"},{"rel":"images","href":"/dashboards/19864/images"},{"rel":"thumbnails","href":"/dashboards/19864/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14079,"status":1,"statusCode":"active","orgId":14309,"orgSlug":"fifemon","orgName":"FIFEmon","slug":"graphql-test-source","downloads":781,"revisionId":20643,"revision":1,"name":"GraphQL example","description":"Sample dashboard demonstrating the GraphQL datasource plugin","readme":"This is a sample dashboard demonstrating the features of the [GraphQL datasource\r\nplugin](https://grafana.com/grafana/plugins/fifemon-graphql-datasource/). It uses the [FIFEmon GraphQL test source server](https://github.com/retzkek/graphql-test-source/)\r\n\r\n## Usage\r\n\r\n1. Run the server with [leiningen](https://github.com/technomancy/leiningen):\r\n\r\n    `lein run`\r\n    \r\n    or with Docker:\r\n    \r\n    `docker run -it --rm -p 8888:8888 retzkek/graphql-test-source`\r\n    \r\n2. [Install\r\n   Grafana](https://grafana.com/docs/grafana/latest/installation/?pg=docs) and\r\n   the [GraphQL Datasource\r\n   Plugin](https://grafana.com/grafana/plugins/fifemon-graphql-datasource/?tab=installation).\r\n\r\n3. Add a GraphQL Datasource to Grafana pointing at the server (`http://localhost:8888/api`)\r\n\r\n5. Import the [sample dashboard](https://grafana.com/grafana/dashboards/14079) into Grafana.\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"GraphQL Data Source","privacy":"public","createdAt":"2021-03-16T18:46:46.000Z","updatedAt":"2021-03-16T18:56:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14079"},{"rel":"revisions","href":"/dashboards/14079/revisions"},{"rel":"revision","href":"/dashboards/14079/revisions/1"},{"rel":"download","href":"/dashboards/14079/revisions/1/download"},{"rel":"org","href":"/orgs/fifemon"},{"rel":"images","href":"/dashboards/14079/images"},{"rel":"thumbnails","href":"/dashboards/14079/thumbnails"}],"datasourceSlugs":["fifemon-graphql-datasource"]},{"id":14341,"status":1,"statusCode":"active","orgId":131229,"orgSlug":"svetb","orgName":"svetb","slug":"graphql-join-test","downloads":271,"revisionId":21151,"revision":1,"name":"GraphQL join test","description":"Re. https://github.com/grafana/grafana/issues/31104 and GraphQL","readme":"For demonstrating issue https://github.com/grafana/grafana/issues/31104 with GraphQL datasource","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-04-30T18:29:08.000Z","updatedAt":"2021-04-30T18:30:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14341"},{"rel":"revisions","href":"/dashboards/14341/revisions"},{"rel":"revision","href":"/dashboards/14341/revisions/1"},{"rel":"download","href":"/dashboards/14341/revisions/1/download"},{"rel":"org","href":"/orgs/svetb"},{"rel":"images","href":"/dashboards/14341/images"},{"rel":"thumbnails","href":"/dashboards/14341/thumbnails"}]},{"id":6787,"status":1,"statusCode":"active","orgId":13968,"orgSlug":"commarla","orgName":"commarla","slug":"graylog","downloads":1959,"revisionId":9253,"revision":1,"name":"Graylog","description":"A Graylog dashboard","readme":"Mostly copied from https://grafana.com/dashboards/2549\r\n\r\nYou'll need the graylog metrics plugin : https://github.com/graylog-labs/graylog-plugin-metrics-reporter","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-03T08:38:44.000Z","updatedAt":"2018-07-03T08:45:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6787"},{"rel":"revisions","href":"/dashboards/6787/revisions"},{"rel":"revision","href":"/dashboards/6787/revisions/1"},{"rel":"download","href":"/dashboards/6787/revisions/1/download"},{"rel":"org","href":"/orgs/commarla"},{"rel":"images","href":"/dashboards/6787/images"},{"rel":"thumbnails","href":"/dashboards/6787/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2549,"status":1,"statusCode":"active","orgId":69851,"orgSlug":"allangood","orgName":"allangood","slug":"graylog-metrics","downloads":4316,"revisionId":3632,"revision":3,"name":"Graylog Metrics","description":"Graylog metrics using Telegraf as collector.","readme":"This dashboard uses Graylog plugin from Telegraf.\r\n\r\nFirst, create a token to interact with the Graylog API:\r\n[http://docs.graylog.org/en/2.2/pages/configuration/rest_api.html](http://docs.graylog.org/en/2.2/pages/configuration/rest_api.html)\r\n\r\nThen, create a file \"/etc/telegraf/telegraf.d/graylog.conf\" with this content:\r\n*WARNING* => The password must be \"token\"\r\n```\r\n[[inputs.graylog]]\r\n  servers = [\r\n    \"https://<YOUR_GRAYLOG_IP_OR_NAME>:9000/api/system/metrics/multiple\",\r\n  ]\r\n  metrics = [\r\n    \"jvm.threads.count\",\r\n    \"jvm.memory.total.init\",\r\n    \"jvm.memory.total.used\",\r\n    \"org.graylog2.journal.size\",\r\n    \"org.graylog2.journal.size-limit\",\r\n    \"org.graylog2.buffers.input.size\",\r\n    \"org.graylog2.buffers.input.usage\",\r\n    \"org.graylog2.buffers.output.size\",\r\n    \"org.graylog2.buffers.output.usage\",\r\n    \"org.graylog2.buffers.process.size\",\r\n    \"org.graylog2.buffers.process.usage\",\r\n    \"org.graylog2.journal.append.1-sec-rate\",\r\n    \"org.graylog2.journal.utilization-ratio\",\r\n    \"org.graylog2.throughput.input.1-sec-rate\",\r\n    \"org.graylog2.throughput.output.1-sec-rate\"\r\n  ]\r\n  username = \"Your token here\"\r\n  password = \"token\"\r\n  insecure_skip_verify = true\r\n```","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.graylog]]\r\n  servers = [\r\n    \"https://<YOUR_GRAYLOG_IP_OR_NAME>:9000/api/system/metrics/multiple\",\r\n  ]\r\n  metrics = [\r\n    \"jvm.threads.count\",\r\n    \"jvm.memory.total.init\",\r\n    \"jvm.memory.total.used\",\r\n    \"org.graylog2.journal.size\",\r\n    \"org.graylog2.journal.size-limit\",\r\n    \"org.graylog2.buffers.input.size\",\r\n    \"org.graylog2.buffers.input.usage\",\r\n    \"org.graylog2.buffers.output.size\",\r\n    \"org.graylog2.buffers.output.usage\",\r\n    \"org.graylog2.buffers.process.size\",\r\n    \"org.graylog2.buffers.process.usage\",\r\n    \"org.graylog2.journal.append.1-sec-rate\",\r\n    \"org.graylog2.journal.utilization-ratio\",\r\n    \"org.graylog2.throughput.input.1-sec-rate\",\r\n    \"org.graylog2.throughput.output.1-sec-rate\"\r\n  ]\r\n  username = \"Your token here\"\r\n  password = \"token\"\r\n  insecure_skip_verify = true\r\n```","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2017-06-28T19:12:03.000Z","updatedAt":"2019-02-14T16:14:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2549"},{"rel":"revisions","href":"/dashboards/2549/revisions"},{"rel":"revision","href":"/dashboards/2549/revisions/3"},{"rel":"download","href":"/dashboards/2549/revisions/3/download"},{"rel":"org","href":"/orgs/allangood"},{"rel":"images","href":"/dashboards/2549/images"},{"rel":"thumbnails","href":"/dashboards/2549/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9402,"status":1,"statusCode":"active","orgId":220536,"orgSlug":"haris44","orgName":"haris44","slug":"green-it-esxi","downloads":408,"revisionId":13002,"revision":1,"name":"Green IT ESXi","description":"Show power consumption of ESXi cluster, and compare 2 VMs ","readme":"### Display power consumption of ESXi Cluster\n- Use Telegraf to collect ESXi data with official plugin \n- Output to InfluxDB \n- Connect your InfluxDB \n- Import this grafana dahsboard\n- Select 2 VMs","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"influxdb","datasource":null,"privacy":"public","createdAt":"2018-12-07T11:59:18.000Z","updatedAt":"2018-12-07T12:05:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9402"},{"rel":"revisions","href":"/dashboards/9402/revisions"},{"rel":"revision","href":"/dashboards/9402/revisions/1"},{"rel":"download","href":"/dashboards/9402/revisions/1/download"},{"rel":"org","href":"/orgs/haris44"},{"rel":"images","href":"/dashboards/9402/images"},{"rel":"thumbnails","href":"/dashboards/9402/thumbnails"}]},{"id":18122,"status":1,"statusCode":"active","orgId":450958,"orgSlug":"lhrbest","orgName":"lhrbest","slug":"greenplum","downloads":340,"revisionId":27826,"revision":1,"name":"Greenplum集群监控优化版","description":"Greenplum集群监控优化版","readme":"基于https://grafana.com/grafana/dashboards/13822修改，我的官网：www.xmmup.com","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-17T04:13:19.000Z","updatedAt":"2023-02-17T04:20:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18122"},{"rel":"revisions","href":"/dashboards/18122/revisions"},{"rel":"revision","href":"/dashboards/18122/revisions/1"},{"rel":"download","href":"/dashboards/18122/revisions/1/download"},{"rel":"org","href":"/orgs/lhrbest"},{"rel":"images","href":"/dashboards/18122/images"},{"rel":"thumbnails","href":"/dashboards/18122/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13822,"status":1,"statusCode":"active","orgId":460557,"orgSlug":"inrgihc","orgName":"inrgihc","slug":"greenplum","downloads":906,"revisionId":20226,"revision":1,"name":"Greenplum集群监控状态图","description":"Greenplum集群监控状态图","readme":"","collectorType":"Other","collectorConfig":"Please install Greenplum expoter first by download on https://github.com/tangyibo/greenplum_exporter/releases","collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2021-02-03T03:39:54.000Z","updatedAt":"2021-02-03T04:07:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13822"},{"rel":"revisions","href":"/dashboards/13822/revisions"},{"rel":"revision","href":"/dashboards/13822/revisions/1"},{"rel":"download","href":"/dashboards/13822/revisions/1/download"},{"rel":"org","href":"/orgs/inrgihc"},{"rel":"images","href":"/dashboards/13822/images"},{"rel":"thumbnails","href":"/dashboards/13822/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":22926,"status":1,"statusCode":"active","orgId":1348276,"orgSlug":"ftrigari","orgName":"ftrigari","slug":"greye","downloads":248,"revisionId":36348,"revision":3,"name":"greye","description":"https://github.com/ftrigari/greye/tree/main","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-02-23T23:51:14.000Z","updatedAt":"2025-03-07T22:53:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22926"},{"rel":"revisions","href":"/dashboards/22926/revisions"},{"rel":"revision","href":"/dashboards/22926/revisions/3"},{"rel":"download","href":"/dashboards/22926/revisions/3/download"},{"rel":"org","href":"/orgs/ftrigari"},{"rel":"images","href":"/dashboards/22926/images"},{"rel":"thumbnails","href":"/dashboards/22926/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23208,"status":1,"statusCode":"active","orgId":899329,"orgSlug":"dgruber","orgName":"dgruber","slug":"gridware-cluster-scheduler","downloads":279,"revisionId":39274,"revision":2,"name":"Gridware Cluster Scheduler","description":"Demo Dashboard for Gridware Cluster Scheduler (formerly Sun Grid Engine / SGE)","readme":"This Grafana dashboard provides comprehensive, real-time insights into HPC and AI environments managed by the [Gridware Cluster Scheduler](https://hpc-gridware.com/download-main/) (formerly known as Sun Grid Engine). The Gridware Cluster Scheduler is a robust, high-performance scheduler designed to manage complex computing workloads at scale, supporting both single-node and multi-node jobs, as well as diverse resource types such as CPUs, GPUs, and customizable numerical resources.\r\n\r\nLeveraging the integrated qtelemetry tool, cluster administrators gain access to a wide range of performance metrics that are exported in a Prometheus-compatible format. These include:\r\n\r\n- **Job Overview**: Detailed statistics of current workloads, number of jobs per state, and workload distribution.\r\nCompute Node Overview: Essential node-specific metrics such as memory usage, CPU load, active jobs, and resource allocation statuses.\r\n- **GPU Resource Overview**: Real-time monitoring of GPU resources covering aspects like temperature, memory utilization, performance metrics, and error rates.\r\n- **Cluster Queue Details**: Insights into job waiting times, queue lengths, and overall workload management efficiency.\r\nCustom Numerical Resources (Complexes): Tracking and evaluation of user-defined numeric resources relevant to particular workloads or configurations.\r\n\r\nThe provided Grafana dashboard serves as a fully-functional example, designed to offer a customizable starting point. Cluster administrators can seamlessly adapt and expand this dashboard according to their specific monitoring and organizational needs.\r\n\r\nThis dashboard showcases functionality provided by the [Gridware Cluster Scheduler](https://hpc-gridware.com/download-main/), presented by HPC Gridware.\r\n\r\nPlease note: The freely available [Open Cluster Scheduler](https://hpc-gridware.com/download-main/)) version (SGE-compatible) does not include the qtelemetry 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[Service]\n        Type=simple\n        User=haproxy\n        Group=haproxy\n        \n        ExecStart=/opt/haproxy_exporter/haproxy_exporter --haproxy.scrape-uri=unix:/var/lib/haproxy/stats --web.listen-address 0.0.0.0:9101 --log.level=info\n        ExecReload=/bin/kill -HUP $MAINPID\n        TimeoutStopSec=10s\n        SendSIGKILL=no\n\n        SyslogIdentifier=prometheus_haproxy_exporter\n        Restart=always\n        \n        [Install]\n        WantedBy=multi-user.target\n\nYou need to have the `stats` option configured in your global section of `/etc/haproxy/haproxy.cfg` file:\n\n        global\n          #--------------------#\n          # logs configuration #\n          #--------------------#\n          log 127.0.0.1 local0 debug\n          log 127.0.0.1 local1 notice\n          #----------------------------#\n          # turn on stats unix sockets #\n          #----------------------------#\n          stats socket /var/lib/haproxy/stats user haproxy group haproxy mode 660 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shows backend stats. \nYou can use templating to choose one/multiple backend (singlestats works only with one). \nYou can easily change backend to /frontend|server/ by editing query and replace backend with another one. \n\nOpen issues or give feedback at : https://github.com/tcheronneau/grafana_dashboard","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-10-31T17:18:25.000Z","updatedAt":"2019-02-18T15:03:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/789"},{"rel":"revisions","href":"/dashboards/789/revisions"},{"rel":"revision","href":"/dashboards/789/revisions/1"},{"rel":"download","href":"/dashboards/789/revisions/1/download"},{"rel":"org","href":"/orgs/mcth"},{"rel":"images","href":"/dashboards/789/images"},{"rel":"thumbnails","href":"/dashboards/789/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":364,"status":1,"statusCode":"active","orgId":22977,"orgSlug":"cristicalin","orgName":"Cristian Calin","slug":"haproxy-backend-haproxy","downloads":16402,"revisionId":2227,"revision":3,"name":"HAproxy Backend | HAproxy","description":"HAproxy Backends","readme":"This dashboard displays the detailed number of requests and their split by HTTP codes along aggregated throughput for the haproxy backends.\r\n\r\nIt requires that you gather haproxy metrics using the haproxy_exporter from prometheus [link](https://github.com/prometheus/haproxy_exporter \"here\")\r\n\r\nExample prometheus configuration:\r\n```\r\n  - job_name: 'loadbalancer1'\r\n    static_configs:\r\n      - targets: ['172.18.0.108:9101']\r\n        labels:\r\n          alias: loadbalancer1\r\n```\r\n\r\nYou need to have the stats option configured in your global section of haproxy.cfg, example:\r\n\r\n```\r\nglobal\r\n\tlog /dev/log\tlocal0\r\n\tlog /dev/log\tlocal1 notice\r\n\tuser haproxy\r\n\tgroup haproxy\r\n\tmaxconn  16000\r\n\tstats  socket /var/lib/haproxy/stats level admin\r\n\ttune.bufsize  32768\r\n\ttune.maxrewrite  1024\r\n\ttune.ssl.default-dh-param 2048\r\n\tdaemon\r\n```\r\nYou can start the exporter to listen on the unix socket:\r\n```\r\nhaproxy_exporter -haproxy.scrape-uri unix:/var/lib/haproxy/stats\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-08-26T08:12:39.000Z","updatedAt":"2017-03-10T12:16:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/364"},{"rel":"revisions","href":"/dashboards/364/revisions"},{"rel":"revision","href":"/dashboards/364/revisions/3"},{"rel":"download","href":"/dashboards/364/revisions/3/download"},{"rel":"org","href":"/orgs/cristicalin"},{"rel":"images","href":"/dashboards/364/images"},{"rel":"thumbnails","href":"/dashboards/364/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":361,"status":1,"statusCode":"active","orgId":22977,"orgSlug":"cristicalin","orgName":"Cristian Calin","slug":"haproxy-frontend-haproxy","downloads":1948,"revisionId":2230,"revision":3,"name":"HAproxy Frontend | HAproxy","description":"HAproxy Frontends","readme":"This dashboard displays the detailed number of requests and their split by HTTP codes along aggregated throughput for the haproxy frontends.\r\n\r\nIt requires that you gather haproxy metrics using the haproxy_exporter from prometheus [link](https://github.com/prometheus/haproxy_exporter \"here\")\r\n\r\nExample prometheus configuration:\r\n```\r\n  - job_name: 'loadbalancer1'\r\n    static_configs:\r\n      - targets: ['172.18.0.108:9101']\r\n        labels:\r\n          alias: loadbalancer1\r\n```\r\n\r\nYou need to have the stats option configured in your global section of haproxy.cfg, example:\r\n\r\n```\r\nglobal\r\n\tlog /dev/log\tlocal0\r\n\tlog /dev/log\tlocal1 notice\r\n\tuser haproxy\r\n\tgroup haproxy\r\n\tmaxconn  16000\r\n\tstats  socket /var/lib/haproxy/stats level admin\r\n\ttune.bufsize  32768\r\n\ttune.maxrewrite  1024\r\n\ttune.ssl.default-dh-param 2048\r\n\tdaemon\r\n```\r\nYou can start the exporter to listen on the unix socket:\r\n```\r\nhaproxy_exporter -haproxy.scrape-uri unix:/var/lib/haproxy/stats\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-08-26T08:00:31.000Z","updatedAt":"2017-03-10T12:18:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/361"},{"rel":"revisions","href":"/dashboards/361/revisions"},{"rel":"revision","href":"/dashboards/361/revisions/3"},{"rel":"download","href":"/dashboards/361/revisions/3/download"},{"rel":"org","href":"/orgs/cristicalin"},{"rel":"images","href":"/dashboards/361/images"},{"rel":"thumbnails","href":"/dashboards/361/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12056,"status":1,"statusCode":"active","orgId":369176,"orgSlug":"jcmoraisjr","orgName":"Joao Morais","slug":"haproxy-ingress","downloads":10173,"revisionId":40264,"revision":4,"name":"HAProxy Ingress","description":"HAProxy Ingress dashboard","readme":"Dashboard for HAProxy Ingress controller metrics.\r\n\r\nSee also HAProxy Ingress metrics [documentation](https://haproxy-ingress.github.io/docs/examples/metrics/).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-08T22:28:02.000Z","updatedAt":"2026-03-22T21:25:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12056"},{"rel":"revisions","href":"/dashboards/12056/revisions"},{"rel":"revision","href":"/dashboards/12056/revisions/4"},{"rel":"download","href":"/dashboards/12056/revisions/4/download"},{"rel":"org","href":"/orgs/jcmoraisjr"},{"rel":"images","href":"/dashboards/12056/images"},{"rel":"thumbnails","href":"/dashboards/12056/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12865,"status":1,"statusCode":"active","orgId":94170,"orgSlug":"perconalab","orgName":"perconalab","slug":"haproxy-instance-summary","downloads":838,"revisionId":18579,"revision":1,"name":"HAProxy Instance Summary (Designed for PMM)","description":"This dashboard displays the detailed HAProxy information of sections and backend servers.","readme":"This dashboard displays the detailed HAProxy information of sections and backend servers.\nIt's designed for PMM with the Prometheus haproxy exporter. The exporter can be added as an external exporter.\n\n$ ./haproxy_exporter --haproxy.scrape-uri=\"http://pxcstats:secret@localhost/haproxy/stats?stats;csv\"\n\n$ pmm-admin add external --listen-port=9101 --service-name=\"haproxy1\" --metrics-path=/metrics","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-08-20T14:41:24.000Z","updatedAt":"2020-08-20T14:51:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12865"},{"rel":"revisions","href":"/dashboards/12865/revisions"},{"rel":"revision","href":"/dashboards/12865/revisions/1"},{"rel":"download","href":"/dashboards/12865/revisions/1/download"},{"rel":"org","href":"/orgs/perconalab"},{"rel":"images","href":"/dashboards/12865/images"},{"rel":"thumbnails","href":"/dashboards/12865/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24890,"status":1,"statusCode":"active","orgId":1672203,"orgSlug":"mrpk1906","orgName":"mrpk1906","slug":"haproxy-logs","downloads":17,"revisionId":39962,"revision":1,"name":"Haproxy logs","description":"Grafana dashboard for querying Haproxy logs from VictoriaLogs","readme":"Read the blog \"[How to Build a Complete HAProxy Logging Pipeline with VictoriaLogs, Fluent Bit, and Grafana](https://medium.com/@mrpk1906/how-to-build-a-complete-haproxy-logging-pipeline-with-victorialogs-fluent-bit-and-grafana-26bfee1b3896)\" for more details.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"VictoriaLogs","privacy":"public","createdAt":"2026-02-17T13:53:08.000Z","updatedAt":"2026-02-21T13:08:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24890"},{"rel":"revisions","href":"/dashboards/24890/revisions"},{"rel":"revision","href":"/dashboards/24890/revisions/1"},{"rel":"download","href":"/dashboards/24890/revisions/1/download"},{"rel":"org","href":"/orgs/mrpk1906"},{"rel":"images","href":"/dashboards/24890/images"},{"rel":"thumbnails","href":"/dashboards/24890/thumbnails"}],"datasourceSlugs":["victoriametrics-logs-datasource"]},{"id":1234,"status":1,"statusCode":"active","orgId":12950,"orgSlug":"kaineng","orgName":"lv callen","slug":"haproxy-2","downloads":1436,"revisionId":1702,"revision":1,"name":"HAproxy metric","description":"针对haproxy的influxdb数据库模板","readme":"haproxy.cfg:\r\nglobal\r\nstats socket /var/run/haproxy.sock  mode 666 level user","collectorType":"Telegraf","collectorConfig":"unix:/var/run/haproxy.sock","collectorPluginList":"haproxy","datasource":"InfluxDB","privacy":"public","createdAt":"2016-12-28T02:09:32.000Z","updatedAt":"2016-12-28T02:15:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1234"},{"rel":"revisions","href":"/dashboards/1234/revisions"},{"rel":"revision","href":"/dashboards/1234/revisions/1"},{"rel":"download","href":"/dashboards/1234/revisions/1/download"},{"rel":"org","href":"/orgs/kaineng"},{"rel":"images","href":"/dashboards/1234/images"},{"rel":"thumbnails","href":"/dashboards/1234/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":2263,"status":1,"statusCode":"active","orgId":60901,"orgSlug":"chinacoolhacker","orgName":"chinacoolhacker","slug":"haproxy-metric","downloads":1818,"revisionId":2953,"revision":1,"name":"HAproxy metric eng","description":"influxdb database template for haproxy english version","readme":"in telegraf  cfg use\r\n\r\n[[inputs.haproxy]]\r\n\r\nservers = [\"/var/lib/haproxy/stats\"]\r\n\r\nin haproxy cfg set \r\nglobal  // in this section\r\n\r\nstats socket /var/lib/haproxy/stats user haproxy group haproxy  mode 666 level user\r\n","collectorType":"Telegraf","collectorConfig":"[[inputs.haproxy]]\r\n\r\nservers = [\"/var/lib/haproxy/stats\"]","collectorPluginList":"haproxy","datasource":"InfluxDB","privacy":"public","createdAt":"2017-05-12T08:51:23.000Z","updatedAt":"2017-05-18T08:09:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2263"},{"rel":"revisions","href":"/dashboards/2263/revisions"},{"rel":"revision","href":"/dashboards/2263/revisions/1"},{"rel":"download","href":"/dashboards/2263/revisions/1/download"},{"rel":"org","href":"/orgs/chinacoolhacker"},{"rel":"images","href":"/dashboards/2263/images"},{"rel":"thumbnails","href":"/dashboards/2263/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":6416,"status":1,"statusCode":"active","orgId":149708,"orgSlug":"anthonysr","orgName":"Anthony R","slug":"haproxy-metrics-single","downloads":1611,"revisionId":8732,"revision":1,"name":"HAProxy Metrics - Single","description":"HAProxy metrics and statistics","readme":"Display HAProxy metrics for a single Telegraf instance, selectable via drop-down. Metrics are grouped into collapsible rows. Provides option to filter or multi-select proxy.","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"haproxy","datasource":"Prometheus","privacy":"public","createdAt":"2018-06-06T21:42:33.000Z","updatedAt":"2018-06-06T21:44:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6416"},{"rel":"revisions","href":"/dashboards/6416/revisions"},{"rel":"revision","href":"/dashboards/6416/revisions/1"},{"rel":"download","href":"/dashboards/6416/revisions/1/download"},{"rel":"org","href":"/orgs/anthonysr"},{"rel":"images","href":"/dashboards/6416/images"},{"rel":"thumbnails","href":"/dashboards/6416/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":367,"status":1,"statusCode":"active","orgId":22977,"orgSlug":"cristicalin","orgName":"Cristian Calin","slug":"haproxy-servers-haproxy","downloads":15490,"revisionId":2233,"revision":3,"name":"HAproxy Servers | HAproxy","description":"HAproxy backend servers","readme":"This dashboard displays the detailed number of responses and their split by HTTP codes along aggregated throughput for the haproxy backend servers.\r\n\r\nIt requires that you gather haproxy metrics using the haproxy_exporter from prometheus [link](https://github.com/prometheus/haproxy_exporter \"here\")\r\n\r\nExample prometheus configuration:\r\n```\r\n  - job_name: 'loadbalancer1'\r\n    static_configs:\r\n      - targets: ['172.18.0.108:9101']\r\n        labels:\r\n          alias: loadbalancer1\r\n```\r\n\r\nYou need to have the stats option configured in your global section of haproxy.cfg, example:\r\n\r\n```\r\nglobal\r\n\tlog /dev/log\tlocal0\r\n\tlog /dev/log\tlocal1 notice\r\n\tuser haproxy\r\n\tgroup haproxy\r\n\tmaxconn  16000\r\n\tstats  socket /var/lib/haproxy/stats level admin\r\n\ttune.bufsize  32768\r\n\ttune.maxrewrite  1024\r\n\ttune.ssl.default-dh-param 2048\r\n\tdaemon\r\n```\r\nYou can start the exporter to listen on the unix socket:\r\n```\r\nhaproxy_exporter -haproxy.scrape-uri unix:/var/lib/haproxy/stats\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-08-26T08:18:36.000Z","updatedAt":"2017-03-10T12:18:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/367"},{"rel":"revisions","href":"/dashboards/367/revisions"},{"rel":"revision","href":"/dashboards/367/revisions/3"},{"rel":"download","href":"/dashboards/367/revisions/3/download"},{"rel":"org","href":"/orgs/cristicalin"},{"rel":"images","href":"/dashboards/367/images"},{"rel":"thumbnails","href":"/dashboards/367/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24889,"status":1,"statusCode":"active","orgId":1672203,"orgSlug":"mrpk1906","orgName":"mrpk1906","slug":"haproxy-statistics","downloads":53,"revisionId":39960,"revision":1,"name":"Haproxy Statistics","description":"Haproxy statistics from logs","readme":"Read the blog \"[How to Build a Complete HAProxy Logging Pipeline with VictoriaLogs, Fluent Bit, and Grafana](https://medium.com/@mrpk1906/how-to-build-a-complete-haproxy-logging-pipeline-with-victorialogs-fluent-bit-and-grafana-26bfee1b3896)\" for more details.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"VictoriaLogs","privacy":"public","createdAt":"2026-02-17T13:33:05.000Z","updatedAt":"2026-02-21T13:08:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24889"},{"rel":"revisions","href":"/dashboards/24889/revisions"},{"rel":"revision","href":"/dashboards/24889/revisions/1"},{"rel":"download","href":"/dashboards/24889/revisions/1/download"},{"rel":"org","href":"/orgs/mrpk1906"},{"rel":"images","href":"/dashboards/24889/images"},{"rel":"thumbnails","href":"/dashboards/24889/thumbnails"}],"datasourceSlugs":["victoriametrics-logs-datasource"]},{"id":14075,"status":1,"statusCode":"active","orgId":473334,"orgSlug":"ruster","orgName":"ruster","slug":"harbor","downloads":14604,"revisionId":20691,"revision":2,"name":"harbor","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-03-16T12:42:11.000Z","updatedAt":"2021-03-22T08:14:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/14075"},{"rel":"revisions","href":"/dashboards/14075/revisions"},{"rel":"revision","href":"/dashboards/14075/revisions/2"},{"rel":"download","href":"/dashboards/14075/revisions/2/download"},{"rel":"org","href":"/orgs/ruster"},{"rel":"images","href":"/dashboards/14075/images"},{"rel":"thumbnails","href":"/dashboards/14075/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15792,"status":1,"statusCode":"active","orgId":346666,"orgSlug":"dshowing","orgName":"dshowing","slug":"harbor","downloads":23624,"revisionId":23896,"revision":1,"name":"Harbor","description":"修改自harbor官方仓库：https://github.com/goharbor/harbor/edit/master/contrib/grafana-dashborad/metrics-example.json","readme":"### exporter\r\nharbor_exporter\r\n### Version\r\nharbor 2.4.1\r\n### prometheus.yaml\r\n```\r\n  - job_name: 'harbor-exporter'\r\n    scrape_interval: 20s\r\n    static_configs:\r\n      # Scrape metrics from the Harbor exporter component\r\n      - targets: ['172.16.31.2:9090']\r\n\r\n  - job_name: 'harbor-core'\r\n    scrape_interval: 20s\r\n    params:\r\n      # Scrape metrics from the Harbor core component\r\n      comp: ['core']\r\n    static_configs:\r\n      - targets: ['172.16.31.2:9090']\r\n\r\n  - job_name: 'harbor-registry'\r\n    scrape_interval: 20s\r\n    params:\r\n      # Scrape metrics from the Harbor registry component\r\n      comp: ['registry']\r\n    static_configs:\r\n      - targets: ['172.16.31.2:9090']\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-02-22T09:13:55.000Z","updatedAt":"2022-02-22T09:22:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15792"},{"rel":"revisions","href":"/dashboards/15792/revisions"},{"rel":"revision","href":"/dashboards/15792/revisions/1"},{"rel":"download","href":"/dashboards/15792/revisions/1/download"},{"rel":"org","href":"/orgs/dshowing"},{"rel":"images","href":"/dashboards/15792/images"},{"rel":"thumbnails","href":"/dashboards/15792/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16003,"status":1,"statusCode":"active","orgId":341801,"orgSlug":"mrd2","orgName":"mrd2","slug":"harbor","downloads":7433,"revisionId":24300,"revision":2,"name":"Harbor","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-03-30T12:33:34.000Z","updatedAt":"2022-03-30T13:00:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16003"},{"rel":"revisions","href":"/dashboards/16003/revisions"},{"rel":"revision","href":"/dashboards/16003/revisions/2"},{"rel":"download","href":"/dashboards/16003/revisions/2/download"},{"rel":"org","href":"/orgs/mrd2"},{"rel":"images","href":"/dashboards/16003/images"},{"rel":"thumbnails","href":"/dashboards/16003/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19716,"status":1,"statusCode":"active","orgId":244218,"orgSlug":"rhm","orgName":"Rudi Martinsen","slug":"harbor-overview","downloads":47071,"revisionId":30256,"revision":1,"name":"Harbor Overview","description":"Overview Dashboard for the open-source Harbor Image Repository","readme":"The dashboard utilizes Prometheus and Grafana for visualizing the health status of a Harbor Image Repository. The Harbor repository offers a metrics endpoint which can be scraped by Prometheus.\r\n\r\nFor details on how to configure the Harbor exporter check the [Harbor documentation](https://goharbor.io/docs/2.9.0/administration/metrics/#scraping-metrics-with-prometheus)\r\n\r\nAlso check out my [blog post](https://rudimartinsen.com/2023/11/18/grafana-harbor-dashboard/) on this dashboard","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-10-05T11:54:47.000Z","updatedAt":"2024-12-07T09:27:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19716"},{"rel":"revisions","href":"/dashboards/19716/revisions"},{"rel":"revision","href":"/dashboards/19716/revisions/1"},{"rel":"download","href":"/dashboards/19716/revisions/1/download"},{"rel":"org","href":"/orgs/rhm"},{"rel":"images","href":"/dashboards/19716/images"},{"rel":"thumbnails","href":"/dashboards/19716/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16686,"status":1,"statusCode":"active","orgId":648803,"orgSlug":"noise131","orgName":"noise131","slug":"harbor-dashboard","downloads":2688,"revisionId":25541,"revision":1,"name":"Harbor_dashboard","description":"harbor状态面板","readme":"prometheus 通过 harbor 暴露指标监控","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-08-07T02:38:22.000Z","updatedAt":"2022-08-07T02:43:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16686"},{"rel":"revisions","href":"/dashboards/16686/revisions"},{"rel":"revision","href":"/dashboards/16686/revisions/1"},{"rel":"download","href":"/dashboards/16686/revisions/1/download"},{"rel":"org","href":"/orgs/noise131"},{"rel":"images","href":"/dashboards/16686/images"},{"rel":"thumbnails","href":"/dashboards/16686/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10974,"status":1,"statusCode":"active","orgId":297720,"orgSlug":"ikarlashov","orgName":"ikarlashov","slug":"harbor-monitoring","downloads":969,"revisionId":15331,"revision":1,"name":"Harbor-Monitoring","description":"This is a simple Grafana Dashboard to display Host Metrics such CPU, Memory, DISK IO, Load Average, collected using the Node Exporter","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-10-08T14:12:35.000Z","updatedAt":"2019-10-08T14:14:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10974"},{"rel":"revisions","href":"/dashboards/10974/revisions"},{"rel":"revision","href":"/dashboards/10974/revisions/1"},{"rel":"download","href":"/dashboards/10974/revisions/1/download"},{"rel":"org","href":"/orgs/ikarlashov"},{"rel":"images","href":"/dashboards/10974/images"},{"rel":"thumbnails","href":"/dashboards/10974/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22051,"status":1,"statusCode":"active","orgId":546919,"orgSlug":"nathalie2","orgName":"nathalie","slug":"hardware-host-metricshub","downloads":880,"revisionId":40740,"revision":3,"name":"Hardware Host (MetricsHub)","description":"","readme":"## What is MetricsHub?\r\nMetricsHub is a **universal metrics collection agent for OpenTelemetry** which extracts metrics from any local or remote resource - such as a host, service, or application - and sends the data to any observability back-end supporting OpenTelemetry.\r\n\r\nMetricsHub is available in two editions: the **Community Edition** and the **Enterprise Edition**. The **Community Edition** provides [basic infrastructure monitoring](https://sentrysoftware.org/metricshub-community-connectors/metricshub-connectors-directory.html), while the **Enterprise Edition** offers support for over [100 platforms](https://metricshub.com/docs/latest/metricshub-connectors-directory.html) and includes an OpenTelemetry Collector, simplifying integration with various observability platforms.\r\n\r\nChoose the edition that best fits your needs. A free 30-day trial of the Enterprise Edition is available to explore its full capabilities. For more information, visit our [website](https://metricshub.com/).\r\n\r\n## How to visualize hardware and sustainability metrics in Grafana?\r\n1. [Install](https://metricshub.com/docs/latest/installation/index.html) and [configure](https://metricshub.com/docs/latest/configuration/configure-monitoring.html) **MetricsHub®**\r\n2. [Configure the sustainability metrics](https://metricshub.com/docs/latest/guides/configure-sustainability-metrics.html)\r\n3. [Send telemetry to Prometheus](https://metricshub.com/docs/latest/configuration/send-telemetry.html)\r\n4. [Import](https://grafana.com/docs/grafana/latest/dashboards/manage-dashboards/#export-and-import-dashboards) the three Hardware Monitoring dashboards into Grafana:\r\n    - [Hardware Main (MetricsHub)](https://grafana.com/grafana/dashboards/22053-hardware-main-metricshub/)\r\n    - [Hardware Site (MetricsHub)](https://grafana.com/grafana/dashboards/22052-hardware-site-metricshub/)\r\n    - [Hardware Host (MetricsHub)](https://grafana.com/grafana/dashboards/22051-hardware-host-metricshub/)\r\n\r\n## Why use MetricsHub and its Grafana dashboards?\r\n**MetricsHub**:\r\n- collects hardware monitoring metrics and supports **over 100 platforms** from the oldest to the more recent ones: Cisco, Dell EMC, IBM, Hitachi, HP, NetApp, Pure, etc. [See full list](https://metricshub.com/docs/latest/metricshub-connectors-directory.html).\r\n- is a 100% software solution for energy usage monitoring (No PDUs required)\r\n- includes three built-in dashboards, eliminating the need for you to create your own.\r\n## Key Features\r\n- **Hardware Monitoring**: Detect and even predict failures in processors, memory modules, disks, network cards, controllers, power supplies, fans, temperature sensors, etc.\r\n- **Energy Usage**: Assess the power consumption of all monitored systems, even those which are not equipped with power sensors.\r\n- **Carbon Emissions**: Accurately determine the carbon emissions of your data centers using real-time energy usage data and observe their evolution over time to track progress toward your sustainability goals.\r\n- **Data center temperature optimization**: Accurately determine the maximum acceptable temperature of your server rooms and estimate the amount saved when this recommendation is followed.\r\n## Use Cases\r\n- Detect all hardware failures\r\n- Assess the energy usage and carbon emissions of a specific host\r\n- Detect overheating risks for hosts","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2024-10-09T20:24:04.000Z","updatedAt":"2026-05-12T15:49:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22051"},{"rel":"revisions","href":"/dashboards/22051/revisions"},{"rel":"revision","href":"/dashboards/22051/revisions/3"},{"rel":"download","href":"/dashboards/22051/revisions/3/download"},{"rel":"org","href":"/orgs/nathalie2"},{"rel":"images","href":"/dashboards/22051/images"},{"rel":"thumbnails","href":"/dashboards/22051/thumbnails"}]},{"id":22053,"status":1,"statusCode":"active","orgId":546919,"orgSlug":"nathalie2","orgName":"nathalie","slug":"hardware-main-metricshub","downloads":486,"revisionId":40738,"revision":3,"name":"Hardware Main (MetricsHub)","description":"","readme":"## What is MetricsHub?\r\nMetricsHub is a **universal metrics collection agent for OpenTelemetry** which extracts metrics from any local or remote resource - such as a host, service, or application - and sends the data to any observability back-end supporting OpenTelemetry.\r\n\r\nMetricsHub is available in two editions: the **Community Edition** and the **Enterprise Edition**. The **Community Edition** provides [basic infrastructure monitoring](https://sentrysoftware.org/metricshub-community-connectors/metricshub-connectors-directory.html), while the **Enterprise Edition** offers support for over [100 platforms](https://metricshub.com/docs/latest/metricshub-connectors-directory.html) and includes an OpenTelemetry Collector, simplifying integration with various observability platforms.\r\n\r\nChoose the edition that best fits your needs. A free 30-day trial of the Enterprise Edition is available to explore its full capabilities. For more information, visit our [website](https://metricshub.com/).\r\n\r\n## How to visualize hardware and sustainability metrics in Grafana?\r\n1. [Install](https://metricshub.com/docs/latest/installation/index.html) and [configure](https://metricshub.com/docs/latest/configuration/configure-monitoring.html) **MetricsHub®**\r\n2. [Configure the sustainability metrics](https://metricshub.com/docs/latest/guides/configure-sustainability-metrics.html)\r\n3. [Send telemetry to Prometheus](https://metricshub.com/docs/latest/configuration/send-telemetry.html)\r\n4. [Import](https://grafana.com/docs/grafana/latest/dashboards/manage-dashboards/#export-and-import-dashboards) the three Hardware Monitoring dashboards into Grafana:\r\n    - [Hardware Main (MetricsHub)](https://grafana.com/grafana/dashboards/22053-hardware-main-metricshub/)\r\n    - [Hardware Site (MetricsHub)](https://grafana.com/grafana/dashboards/22052-hardware-site-metricshub/)\r\n    - [Hardware Host (MetricsHub)](https://grafana.com/grafana/dashboards/22051-hardware-host-metricshub/)\r\n\r\n## Why use MetricsHub and its Grafana dashboards?\r\n**MetricsHub**:\r\n- collects hardware monitoring metrics and supports **over 100 platforms** from the oldest to the more recent ones: Cisco, Dell EMC, IBM, Hitachi, HP, NetApp, Pure, etc. [See full list](https://metricshub.com/docs/latest/metricshub-connectors-directory.html).\r\n- is a 100% software solution for energy usage monitoring (No PDUs required)\r\n- includes three built-in dashboards, eliminating the need for you to create your own.\r\n## Key Features\r\n- **Hardware Monitoring**: Detect and even predict failures in processors, memory modules, disks, network cards, controllers, power supplies, fans, temperature sensors, etc.\r\n- **Energy Usage**: Assess the power consumption of all monitored systems, even those which are not equipped with power sensors.\r\n- **Carbon Emissions**: Accurately determine the carbon emissions of your data centers using real-time energy usage data and observe their evolution over time to track progress toward your sustainability goals.\r\n- **Data center temperature optimization**: Accurately determine the maximum acceptable temperature of your server rooms and estimate the amount saved when this recommendation is followed.\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2024-10-09T20:55:25.000Z","updatedAt":"2026-05-12T15:48:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22053"},{"rel":"revisions","href":"/dashboards/22053/revisions"},{"rel":"revision","href":"/dashboards/22053/revisions/3"},{"rel":"download","href":"/dashboards/22053/revisions/3/download"},{"rel":"org","href":"/orgs/nathalie2"},{"rel":"images","href":"/dashboards/22053/images"},{"rel":"thumbnails","href":"/dashboards/22053/thumbnails"}]},{"id":22052,"status":1,"statusCode":"active","orgId":546919,"orgSlug":"nathalie2","orgName":"nathalie","slug":"hardware-site-metricshub","downloads":762,"revisionId":40739,"revision":3,"name":"Hardware Site (MetricsHub)","description":"","readme":"## What is MetricsHub?\r\nMetricsHub is a **universal metrics collection agent for OpenTelemetry** which extracts metrics from any local or remote resource - such as a host, service, or application - and sends the data to any observability back-end supporting OpenTelemetry.\r\n\r\nMetricsHub is available in two editions: the **Community Edition** and the **Enterprise Edition**. The **Community Edition** provides [basic infrastructure monitoring](https://sentrysoftware.org/metricshub-community-connectors/metricshub-connectors-directory.html), while the **Enterprise Edition** offers support for over [100 platforms](https://metricshub.com/docs/latest/metricshub-connectors-directory.html) and includes an OpenTelemetry Collector, simplifying integration with various observability platforms.\r\n\r\nChoose the edition that best fits your needs. A free 30-day trial of the Enterprise Edition is available to explore its full capabilities. For more information, visit our [website](https://metricshub.com/).\r\n\r\n## How to visualize hardware and sustainability metrics in Grafana?\r\n1. [Install](https://metricshub.com/docs/latest/installation/index.html) and [configure](https://metricshub.com/docs/latest/configuration/configure-monitoring.html) **MetricsHub®**\r\n2. [Configure the sustainability metrics](https://metricshub.com/docs/latest/guides/configure-sustainability-metrics.html)\r\n3. [Send telemetry to Prometheus](https://metricshub.com/docs/latest/configuration/send-telemetry.html)\r\n4. [Import](https://grafana.com/docs/grafana/latest/dashboards/manage-dashboards/#export-and-import-dashboards) the three Hardware Monitoring dashboards into Grafana:\r\n    - [Hardware Main (MetricsHub)](https://grafana.com/grafana/dashboards/22053-hardware-main-metricshub/)\r\n    - [Hardware Site (MetricsHub)](https://grafana.com/grafana/dashboards/22052-hardware-site-metricshub/)\r\n    - [Hardware Host (MetricsHub)](https://grafana.com/grafana/dashboards/22051-hardware-host-metricshub/)\r\n\r\n## Why use MetricsHub and its Grafana dashboards?\r\n**MetricsHub**:\r\n- collects hardware monitoring metrics and supports **over 100 platforms** from the oldest to the more recent ones: Cisco, Dell EMC, IBM, Hitachi, HP, NetApp, Pure, etc. [See full list](https://metricshub.com/docs/latest/metricshub-connectors-directory.html).\r\n- is a 100% software solution for energy usage monitoring (No PDUs required)\r\n- includes three built-in dashboards, eliminating the need for you to create your own.\r\n## Key Features\r\n- **Hardware Monitoring**: Detect and even predict failures in processors, memory modules, disks, network cards, controllers, power supplies, fans, temperature sensors, etc.\r\n- **Energy Usage**: Assess the power consumption of all monitored systems, even those which are not equipped with power sensors.\r\n- **Carbon Emissions**: Accurately determine the carbon emissions of your data centers using real-time energy usage data and observe their evolution over time to track progress toward your sustainability goals.\r\n- **Data center temperature optimization**: Accurately determine the maximum acceptable temperature of your server rooms and estimate the amount saved when this recommendation is followed.\r\n## Use Cases\r\n- Detect all hardware failures\r\n- Report the energy usage and carbon emissions of your data center and its monitored hosts\r\n- Spot the top consumer sites\r\n- Optimize the ambient temperature of the server room\r\n- Estimate potential savings per site\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2024-10-09T20:50:10.000Z","updatedAt":"2026-05-12T15:49:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22052"},{"rel":"revisions","href":"/dashboards/22052/revisions"},{"rel":"revision","href":"/dashboards/22052/revisions/3"},{"rel":"download","href":"/dashboards/22052/revisions/3/download"},{"rel":"org","href":"/orgs/nathalie2"},{"rel":"images","href":"/dashboards/22052/images"},{"rel":"thumbnails","href":"/dashboards/22052/thumbnails"}]},{"id":13738,"status":1,"statusCode":"active","orgId":390573,"orgSlug":"blavka","orgName":"HARDWARIO","slug":"chester-clime","downloads":350,"revisionId":20079,"revision":1,"name":"HARDWARIO CHESTER Clime NB-IoT","description":"Dashboard for HARDWARIO CHESTER Clime NB-IoT\n","readme":"The CHESTER Clime set is used for accurate monitoring of temperature and humidity indoors and outdoors. In addition, it sends information about its GPS position and orientation. It communicates via LPWAN technologies NB-IoT.\n\nMore info about CHESTER platform [https://www.hardwario.com/chester]()\n\nBuy here: [https://shop.hardwario.com/chester-clime]()","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-01-19T09:06:16.000Z","updatedAt":"2021-01-19T09:15:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13738"},{"rel":"revisions","href":"/dashboards/13738/revisions"},{"rel":"revision","href":"/dashboards/13738/revisions/1"},{"rel":"download","href":"/dashboards/13738/revisions/1/download"},{"rel":"org","href":"/orgs/blavka"},{"rel":"images","href":"/dashboards/13738/images"},{"rel":"thumbnails","href":"/dashboards/13738/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12429,"status":1,"statusCode":"active","orgId":390573,"orgSlug":"blavka","orgName":"HARDWARIO","slug":"cooper-sigfox","downloads":292,"revisionId":17823,"revision":1,"name":"HARDWARIO COOPER Sigfox","description":"Dashboard for HARDWARIO COOPER Sigfox\n","readme":"# HARDWARIO COOPER Sigfox\n\n[https://www.hardwario.com/platforms/HW-Cooper-specifikace.pdf](https://www.hardwario.com/platforms/HW-Cooper-specifikace.pdf)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-06-09T06:42:06.000Z","updatedAt":"2021-01-19T09:15:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12429"},{"rel":"revisions","href":"/dashboards/12429/revisions"},{"rel":"revision","href":"/dashboards/12429/revisions/1"},{"rel":"download","href":"/dashboards/12429/revisions/1/download"},{"rel":"org","href":"/orgs/blavka"},{"rel":"images","href":"/dashboards/12429/images"},{"rel":"thumbnails","href":"/dashboards/12429/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19987,"status":1,"statusCode":"active","orgId":988798,"orgSlug":"jamescox1","orgName":"jamescox1","slug":"harness-ff-proxy","downloads":273,"revisionId":30721,"revision":1,"name":"Harness FF Proxy","description":"Dashboard for monitoring Harness FF Proxy","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-14T16:23:50.000Z","updatedAt":"2023-11-15T08:30:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19987"},{"rel":"revisions","href":"/dashboards/19987/revisions"},{"rel":"revision","href":"/dashboards/19987/revisions/1"},{"rel":"download","href":"/dashboards/19987/revisions/1/download"},{"rel":"org","href":"/orgs/jamescox1"},{"rel":"images","href":"/dashboards/19987/images"},{"rel":"thumbnails","href":"/dashboards/19987/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20091,"status":1,"statusCode":"active","orgId":988798,"orgSlug":"jamescox1","orgName":"jamescox1","slug":"harness-ff-proxy","downloads":548,"revisionId":30881,"revision":1,"name":"Harness FF Proxy","description":"Dashboard for 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https://www.nomadproject.io/","readme":"HashiCorp Nomad dashboard","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-02-15T18:05:28.000Z","updatedAt":"2022-02-15T18:09:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15764"},{"rel":"revisions","href":"/dashboards/15764/revisions"},{"rel":"revision","href":"/dashboards/15764/revisions/1"},{"rel":"download","href":"/dashboards/15764/revisions/1/download"},{"rel":"org","href":"/orgs/nahsi"},{"rel":"images","href":"/dashboards/15764/images"},{"rel":"thumbnails","href":"/dashboards/15764/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12904,"status":1,"statusCode":"active","orgId":412220,"orgSlug":"nilune","orgName":"nilune","slug":"hashicorp-vault","downloads":2955420,"revisionId":19069,"revision":2,"name":"Hashicorp Vault","description":" Hashicorp Vault Metrics","readme":"Dashboard contains:\n- number of secrets in kv storages\n- operations in kv storages\n- number of tokens by different types\n- operations with tokens\n- memory usage by Vault\n- requests to Vault\n\nVersion2:\n- Changed pie-charts on bar-graphs for easier visual use\n- Updated some labels\n- Updated alerts\n- Removed 'instance' variable as unnecessary\n\nDownload the first version to get a dashboard like in the pictures.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-08-27T16:01:39.000Z","updatedAt":"2020-10-09T15:05:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/12904"},{"rel":"revisions","href":"/dashboards/12904/revisions"},{"rel":"revision","href":"/dashboards/12904/revisions/2"},{"rel":"download","href":"/dashboards/12904/revisions/2/download"},{"rel":"org","href":"/orgs/nilune"},{"rel":"images","href":"/dashboards/12904/images"},{"rel":"thumbnails","href":"/dashboards/12904/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20180,"status":1,"statusCode":"active","orgId":406264,"orgSlug":"andreasfitzek","orgName":"andreasfitzek","slug":"hasura-example-metrics","downloads":276,"revisionId":31040,"revision":1,"name":"Hasura GraphQL Engine CE Metrics","description":"An example dashboard for the metric adapter for the Hasura 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here:\r\n\r\nhttps://github.com/afitzek/hasura-metric-adapter","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-12-19T15:20:19.000Z","updatedAt":"2023-12-19T15:25:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20180"},{"rel":"revisions","href":"/dashboards/20180/revisions"},{"rel":"revision","href":"/dashboards/20180/revisions/1"},{"rel":"download","href":"/dashboards/20180/revisions/1/download"},{"rel":"org","href":"/orgs/andreasfitzek"},{"rel":"images","href":"/dashboards/20180/images"},{"rel":"thumbnails","href":"/dashboards/20180/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19124,"status":1,"statusCode":"active","orgId":894184,"orgSlug":"hasurahq","orgName":"hasurahq","slug":"hasura-health","downloads":381,"revisionId":33250,"revision":2,"name":"Hasura Health","description":"Hasura Health Dashboards","readme":"The dashboard visualizes Prometheus metrics about Data Source Health Check that are emitted from Hasura GraphQL Engine Enterprise Edition:\r\n- Current Postgres connection usage\r\n- Data source health check. These metrics are disabled by default. You need to [configure each data source](https://hasura.io/docs/latest/deployment/health-checks/source-health-check/#configuring-source-health-check) to enable them.\r\n\r\nSee [Prometheus Integration with Hasura EE](https://hasura.io/docs/latest/observability/enterprise-edition/prometheus/integrate-prometheus-grafana/) for more information. \r\n\r\n\r\n> You need to enable Hasura EE with a valid license key. If you don't have one, you can get a license key via a [30-day free trial](https://hasura.io/docs/latest/enterprise/try-hasura-enterprise-edition/) or by contacting the [Hasura team](sales@hasura.io).\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-06T13:47:11.000Z","updatedAt":"2024-06-19T08:44:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19124"},{"rel":"revisions","href":"/dashboards/19124/revisions"},{"rel":"revision","href":"/dashboards/19124/revisions/2"},{"rel":"download","href":"/dashboards/19124/revisions/2/download"},{"rel":"org","href":"/orgs/hasurahq"},{"rel":"images","href":"/dashboards/19124/images"},{"rel":"thumbnails","href":"/dashboards/19124/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19121,"status":1,"statusCode":"active","orgId":894184,"orgSlug":"hasurahq","orgName":"hasurahq","slug":"hasura-http-graphql","downloads":532,"revisionId":33249,"revision":2,"name":"Hasura HTTP GraphQL","description":"Hasura dashboards for HTTP GraphQL requests","readme":"The dashboard visualizes Prometheus metrics about GraphQL requests on HTTP protocol (Query, Mutation) that are emitted from Hasura GraphQL Engine Enterprise Edition. See [Prometheus Integration with Hasura EE](https://hasura.io/docs/latest/observability/enterprise-edition/prometheus/integrate-prometheus-grafana/) for more information. \r\n\r\n> You need to enable Hasura EE with a valid license key. If you don't have one, you can get a license key via a [30-day free trial](https://hasura.io/docs/latest/enterprise/try-hasura-enterprise-edition/) or by contacting the [Hasura team](sales@hasura.io).\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-06T13:45:27.000Z","updatedAt":"2024-06-19T08:43:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19121"},{"rel":"revisions","href":"/dashboards/19121/revisions"},{"rel":"revision","href":"/dashboards/19121/revisions/2"},{"rel":"download","href":"/dashboards/19121/revisions/2/download"},{"rel":"org","href":"/orgs/hasurahq"},{"rel":"images","href":"/dashboards/19121/images"},{"rel":"thumbnails","href":"/dashboards/19121/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19120,"status":1,"statusCode":"active","orgId":894184,"orgSlug":"hasurahq","orgName":"hasurahq","slug":"hasura-overview","downloads":401,"revisionId":33251,"revision":2,"name":"Hasura Overview","description":"The overview dashboard for Hasura GraphQL Engine","readme":"The dashboard visualizes Prometheus metrics that are emitted from Hasura GraphQL Engine Enterprise Edition. See [Prometheus Integration with Hasura EE](https://hasura.io/docs/latest/observability/enterprise-edition/prometheus/integrate-prometheus-grafana/) for more information. \r\n\r\n> You need to enable Hasura EE with a valid license key. If you don't have one, you can get a license key via a [30-day free trial](https://hasura.io/docs/latest/enterprise/try-hasura-enterprise-edition/) or by contacting the [Hasura team](sales@hasura.io).\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-06T13:43:44.000Z","updatedAt":"2024-06-19T08:45:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19120"},{"rel":"revisions","href":"/dashboards/19120/revisions"},{"rel":"revision","href":"/dashboards/19120/revisions/2"},{"rel":"download","href":"/dashboards/19120/revisions/2/download"},{"rel":"org","href":"/orgs/hasurahq"},{"rel":"images","href":"/dashboards/19120/images"},{"rel":"thumbnails","href":"/dashboards/19120/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19123,"status":1,"statusCode":"active","orgId":894184,"orgSlug":"hasurahq","orgName":"hasurahq","slug":"hasura-subscriptions","downloads":336,"revisionId":33252,"revision":2,"name":"Hasura Subscriptions","description":"Hasura subscription dashboards","readme":"The dashboard visualizes Prometheus metrics about Subscription and Streaming that are emitted from Hasura GraphQL Engine Enterprise Edition. See [Prometheus Integration with Hasura EE](https://hasura.io/docs/latest/observability/enterprise-edition/prometheus/integrate-prometheus-grafana/) for more information. \r\n\r\n> You need to enable Hasura EE with a valid license key. If you don't have one, you can get a license key via a [30-day free trial](https://hasura.io/docs/latest/enterprise/try-hasura-enterprise-edition/) or by contacting the [Hasura team](sales@hasura.io).\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-06T13:46:52.000Z","updatedAt":"2024-06-19T08:45:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19123"},{"rel":"revisions","href":"/dashboards/19123/revisions"},{"rel":"revision","href":"/dashboards/19123/revisions/2"},{"rel":"download","href":"/dashboards/19123/revisions/2/download"},{"rel":"org","href":"/orgs/hasurahq"},{"rel":"images","href":"/dashboards/19123/images"},{"rel":"thumbnails","href":"/dashboards/19123/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20785,"status":1,"statusCode":"active","orgId":1082727,"orgSlug":"hathor","orgName":"hathor","slug":"hathor-fullnodes","downloads":459,"revisionId":32170,"revision":1,"name":"Hathor Fullnodes","description":"Visualize metrics generated by hathor core fullnodes","readme":"This is an example docker-compose.yml file showcasing how you can run a hathor-core fullnode together with node-exporter for metric collection.\r\n\r\nYou can use it to reproduce the same behavior in any other kind of environment you run your fullnodes. More info about running hathor-core fullnodes can be found in https://docs.hathor.network/\r\n\r\nThis example assumes you have a `hathor-core` folder in the same directly as the docker-compose.yml file.\r\n\r\nThe metrics will be available at `localhost:9100/metrics`, and should be collected by a Prometheus instance (not showcased here) used as Datasource for this dashboard.\r\n\r\n```\r\nversion: '3'\r\n\r\nservices:\r\n  node_exporter:\r\n    image: quay.io/prometheus/node-exporter:latest\r\n    container_name: node_exporter\r\n    command:\r\n      - '--path.rootfs=/host'\r\n      - '--collector.textfile.directory=/host/data/prometheus'\r\n    ports:\r\n      - \"9100:9100\"\r\n    pid: host\r\n    restart: unless-stopped\r\n    volumes:\r\n      - ./hathor-core:/host:ro,rslave\r\n    networks:\r\n      - monitoring\r\n\r\n  hathor-core:\r\n    image: hathornetwork/hathor-core\r\n    command: run_node\r\n    ports:\r\n      - \"8000:8000\"\r\n      - \"8001:8001\"\r\n    volumes:\r\n      - ./hathor-core/data:/data\r\n    environment:\r\n      HATHOR_TESTNET: 'true'\r\n      HATHOR_STATUS: '8000'\r\n      HATHOR_STRATUM: '8001'\r\n      HATHOR_WALLET_INDEX: 'true'\r\n      HATHOR_CACHE: 'true'\r\n      HATHOR_CACHE_SIZE: '100000'\r\n      HATHOR_DATA: /data\r\n      HATHOR_PROMETHEUS: 'true'\r\n      HATHOR_PROMETHEUS_PREFIX: 'hathor_core:'\r\n\r\nnetworks:\r\n  monitoring:\r\n\r\n```","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"textfile","datasource":"Prometheus","privacy":"public","createdAt":"2024-03-27T15:43:33.000Z","updatedAt":"2024-03-27T18:24:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20785"},{"rel":"revisions","href":"/dashboards/20785/revisions"},{"rel":"revision","href":"/dashboards/20785/revisions/1"},{"rel":"download","href":"/dashboards/20785/revisions/1/download"},{"rel":"org","href":"/orgs/hathor"},{"rel":"images","href":"/dashboards/20785/images"},{"rel":"thumbnails","href":"/dashboards/20785/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14944,"status":1,"statusCode":"active","orgId":535623,"orgSlug":"oguzhantanir","orgName":"oguzhantanir","slug":"hayrat-data-center-monitoring-v1","downloads":625,"revisionId":22290,"revision":1,"name":"Hayrat Data Center Monitoring","description":"Data Center Temperature, Humidity, DewPoint, Cabinet Door Access, Voice, Light and Water Sensor Monitoring on Grafana Dashboard.","readme":"## Hayrat Data Center Monitoring\n\nData Center Temperature, Humidity, DewPoint, Cabinet Door Access, Voice, Light and Water Sensor Monitoring on Grafana Dashboard. This project is the cheapest monitoring solution in the world. :) It can be scalable using multiple base units and aggregate in a central database. Different sensors can be added and Thousands of sensors can be tracked. Have a good time!\n\n#### GitHub:  https://github.com/oguzhantanir/Hayrat_Data_Center_Monitoring\n\n### Software Requirements\n\n* InfluxDB (Time Series Database)\n* Grafana (Dashboard)\n\n### Components And Supplies\n\n* Arduino Mega 2560\n* ENC28J60 Network Module\n* DHT11 Sensor\n* HC-SR501 Motion Sensor\n* Lever Switch\n* LDR Light Sensor\n* Sound Sensor\n* Water Sensor\n\n### Optional\n\n* LCD I2C 16x2\n\n### Arduino Libraries\n* EthernetENC (https://github.com/jandrassy/EthernetENC) We used this library because it uses less memory. Alternatively you can use UIPEthernet library.\n* LiquidCrystal_I2C (https://github.com/johnrickman/LiquidCrystal_I2C) If you use the LCD should be used this library. (Not required)\n* DHT11 (https://github.com/oguzhantanir/Hayrat_Data_Center_Monitoring/tree/main/DHT11)\n\n### Alternative ENC28J60 Library\n\n* UIPEthernet (https://github.com/UIPEthernet/UIPEthernet)\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-08-29T07:34:55.000Z","updatedAt":"2021-09-06T08:25:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14944"},{"rel":"revisions","href":"/dashboards/14944/revisions"},{"rel":"revision","href":"/dashboards/14944/revisions/1"},{"rel":"download","href":"/dashboards/14944/revisions/1/download"},{"rel":"org","href":"/orgs/oguzhantanir"},{"rel":"images","href":"/dashboards/14944/images"},{"rel":"thumbnails","href":"/dashboards/14944/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11354,"status":1,"statusCode":"active","orgId":321089,"orgSlug":"manathan","orgName":"manathan","slug":"hayward-pool","downloads":302,"revisionId":15933,"revision":1,"name":"Hayward AquaConnect","description":"Show data and stats from a Hayward AquaConnect pool controller, see https://github.com/ma-nathan/hayward-pool","readme":"Please see https://github.com/ma-nathan/hayward-pool\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-12-05T06:11:05.000Z","updatedAt":"2019-12-05T06:13:23.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11354"},{"rel":"revisions","href":"/dashboards/11354/revisions"},{"rel":"revision","href":"/dashboards/11354/revisions/1"},{"rel":"download","href":"/dashboards/11354/revisions/1/download"},{"rel":"org","href":"/orgs/manathan"},{"rel":"images","href":"/dashboards/11354/images"},{"rel":"thumbnails","href":"/dashboards/11354/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13183,"status":1,"statusCode":"active","orgId":418928,"orgSlug":"erosb","orgName":"erosb","slug":"hazelcast-default","downloads":4681,"revisionId":19147,"revision":1,"name":"Hazelcast Default","description":"Dashboard for monitoring Hazelcast IMDG clusters.","readme":"This dashboard visualizes common metrics received from a Prometheus instance which is connected to a Hazelcast Management Center instance. It displays general cluster information, and includes detail rows about IMaps and Caches.\r\n\r\nYou can read more about this feature here: https://hazelcast.com/blog/monitoring-hazelcast-with-prometheus-using-management-center-4-2020-8/","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-15T09:41:07.000Z","updatedAt":"2020-10-15T09:49:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13183"},{"rel":"revisions","href":"/dashboards/13183/revisions"},{"rel":"revision","href":"/dashboards/13183/revisions/1"},{"rel":"download","href":"/dashboards/13183/revisions/1/download"},{"rel":"org","href":"/orgs/erosb"},{"rel":"images","href":"/dashboards/13183/images"},{"rel":"thumbnails","href":"/dashboards/13183/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20647,"status":1,"statusCode":"active","orgId":1070645,"orgSlug":"akiraq","orgName":"huvalk","slug":"hazelcast-map-overview","downloads":614,"revisionId":31911,"revision":1,"name":"Hazelcast Map Overview","description":"Dashboard for monitoring Hazelcast in-memory Map storage","readme":"This dashboards summaries information about state of Hazelcast im-memory map storage, including resources consumption, map size, entry count etc. It uses metrics collected by prometheus jmx agent.\r\n\r\nThis dashboard based on https://grafana.com/grafana/dashboards/13183-hazelcast-default/","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-07T20:49:05.000Z","updatedAt":"2024-03-08T07:23:21.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20647"},{"rel":"revisions","href":"/dashboards/20647/revisions"},{"rel":"revision","href":"/dashboards/20647/revisions/1"},{"rel":"download","href":"/dashboards/20647/revisions/1/download"},{"rel":"org","href":"/orgs/akiraq"},{"rel":"images","href":"/dashboards/20647/images"},{"rel":"thumbnails","href":"/dashboards/20647/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17420,"status":1,"statusCode":"active","orgId":744906,"orgSlug":"hoangdh","orgName":"hoangdh","slug":"hbase-simple-2","downloads":435,"revisionId":26763,"revision":1,"name":"HBase - Requests","description":"Exporter: https://github.com/daiwei233/hbase_exporter","readme":"## HBase Requests\r\nExporter: https://github.com/daiwei233/hbase_exporter\r\n\r\nLogo by instana.com\r\n\r\n## About:\r\n- HBase 2.3.6\r\n- Prometheus 2.25.0\r\n- Grafana 7.3.6","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-16T10:37:34.000Z","updatedAt":"2022-11-17T02:49:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17420"},{"rel":"revisions","href":"/dashboards/17420/revisions"},{"rel":"revision","href":"/dashboards/17420/revisions/1"},{"rel":"download","href":"/dashboards/17420/revisions/1/download"},{"rel":"org","href":"/orgs/hoangdh"},{"rel":"images","href":"/dashboards/17420/images"},{"rel":"thumbnails","href":"/dashboards/17420/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12722,"status":1,"statusCode":"active","orgId":13842,"orgSlug":"kaszpir","orgName":"kaszpir","slug":"hbase-1-x","downloads":1717,"revisionId":18303,"revision":1,"name":"HBase 1.x","description":"Hbase 1.x using prometheus jmx eporter","readme":"# About\n\nInitial test example. Not everything is rendered or usable.\nSome metrics are wrong, because this is quick copy/adaptation of my other dashboard used with HBase 2.x\n\n# Tested with\n\nHBase:\n- prometheus v2.19.0\n- grafana v7.1.1 (3039f9c3bd)) with prometheus as Data Source\n- Hadoop 2.7.1\n- hbase 1.1.13 with jmx_prometheus_javaagent-0.13.1-SNAPSHOT.jar (just download form github and compile it on your own)\n\n\nHBase Master HBASE_OPTS appended:\n```\n-javaagent:/data/jmx_exporter/jmx_prometheus_javaagent-0.13.1-SNAPSHOT.jar=0.0.0.0:26010:/data/jmx_exporter/jmx_hbase.yaml\n```\n\nHBase Regionserver HBASE_OPTS appended:\n```\n-javaagent:/data/jmx_exporter/jmx_prometheus_javaagent-0.13.1-SNAPSHOT.jar=0.0.0.0:26030:/data/jmx_exporter/jmx_hbase.yaml\n```\n\n- jmx-prometheus config `/data/jmx_exporter/jmx_hbase.yaml`:\n\n```yaml\n---\nlowercaseOutputName: true\nlowercaseOutputLabelNames: true\nrules:\n- pattern: Hadoop<service=HBase, name=RegionServer, sub=Regions><>Namespace_([^\\W_]+)_table_([^\\W_]+)_region_([^\\W_]+)_metric_(\\w+)\n  name: HBase_metric_$4\n  labels:\n    namespace: \"$1\"\n    table: \"$2\"\n    region: \"$3\"\n- pattern: Hadoop<service=(\\w+), name=(\\w+), sub=(\\w+)><>([\\w._]+)\n  name: hadoop_$1_$4\n  labels:\n    \"name\": \"$2\"\n    \"sub\": \"$3\"\n- pattern: .+\n```\n- prometheus scrape targets:\n```yaml\n# two hbase masters\n  - targets:\n    - m-1:26010\n    - m-2:26010\n    labels:\n      type: master\n# three hbase regionservers\n  - targets:\n    - m-1:26030\n    - m-2:26030\n    - m-3:26030\n    labels:\n      type: regionserver\n```\n\n\n\n# Known limitations\n\n- some metrics are empty because they are remnants from HBase 2.x and they just don't exist (I was lazy)\n- You may need to adjust dashboard to match your prometheus labels\n- Vast majority of metrics is not yet exposed on the graphs, but you can add them on your own\n- Some metrics are duplicated because the way they are exposed by jmx_exporter\n\n# Changelog\n\n1.\n- Initial release\n\n# Contact\n\n- [contact author](https://github.com/nvtkaszpir) if you have any suggestions etc\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-07-29T15:48:32.000Z","updatedAt":"2020-09-20T12:50:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12722"},{"rel":"revisions","href":"/dashboards/12722/revisions"},{"rel":"revision","href":"/dashboards/12722/revisions/1"},{"rel":"download","href":"/dashboards/12722/revisions/1/download"},{"rel":"org","href":"/orgs/kaszpir"},{"rel":"images","href":"/dashboards/12722/images"},{"rel":"thumbnails","href":"/dashboards/12722/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12243,"status":1,"statusCode":"active","orgId":13842,"orgSlug":"kaszpir","orgName":"kaszpir","slug":"hbase","downloads":2040,"revisionId":17485,"revision":2,"name":"HBase 2.x","description":"Hbase  2.x in kubernetes using prometheus jmx eporter","readme":"# About\n\nInitial test example. Not everything is rendered or usable.\n\n# Tested with\n\nHBase on k8s:\n- k8s 1.15.x\n- prometheus v2.17.2 via prometheus-operator\n- grafana v6.7.3 (a04ef6cefc) with prometheus as Data Source\n- Hadoop 3.1.3 (ninja deployment on kubernetes ;))\n- hbase 2.2.4 with `spdigital/prometheus-jmx-exporter-kubernetes:0.3.1` (default) via [gradiant/charts ](https://github.com/Gradiant/charts)\n\n# Known limitations\n\n- You need to create service monitor on your own.\n- You may need to adjust dashboard to match your prometheus labels\n- Vast majority of metrics is not yet exposed on the graphs, but you can add them on your own\n- Some metrics are duplicated because the way they are exposed by jmx_exporter\n\n# Changelog\n\n2.\n- Fixed selector used for 'instances' - it was previously getting all instances existing for any metric, and now it only takes the instances which are specific for region or master server only. This dramatically speeds up graph loading\n\n1.\n- Initial release\n\n# Contact\n\n- [contact author](https://github.com/nvtkaszpir) if you have any suggestions etc\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-05-06T19:28:17.000Z","updatedAt":"2020-09-20T12:49:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12243"},{"rel":"revisions","href":"/dashboards/12243/revisions"},{"rel":"revision","href":"/dashboards/12243/revisions/2"},{"rel":"download","href":"/dashboards/12243/revisions/2/download"},{"rel":"org","href":"/orgs/kaszpir"},{"rel":"images","href":"/dashboards/12243/images"},{"rel":"thumbnails","href":"/dashboards/12243/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14419,"status":1,"statusCode":"active","orgId":494134,"orgSlug":"tstich","orgName":"tstich","slug":"hc-monitor","downloads":472,"revisionId":22085,"revision":7,"name":"HC Monitor","description":"A concise dashboard for monitoring a single server","readme":"On this Dashboard we used Telegraf, to store Data on InfluxDB. We additionally use net & netstat\r\n\r\nFor the whole tutorial have a look at\r\nhttps://community.hetzner.com/tutorials/server-monitoring-using-grafana-and-influxdb\r\n\r\nGrafana 8.1 required!","collectorType":"Telegraf","collectorConfig":"Create an additional config file for Telegraf:\r\n\r\n$ touch /etc/telegraf/telegraf.d/netquery.conf\r\n\r\nNow that we have created the file edit it (/etc/telegraf/telegraf.d/netquery.conf).\r\n\r\nHere you paste the following content\r\n\r\n[[inputs.net]]\r\n\r\n[[inputs.netstat]]\r\n","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-05-11T18:17:22.000Z","updatedAt":"2021-08-05T21:32:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14419"},{"rel":"revisions","href":"/dashboards/14419/revisions"},{"rel":"revision","href":"/dashboards/14419/revisions/7"},{"rel":"download","href":"/dashboards/14419/revisions/7/download"},{"rel":"org","href":"/orgs/tstich"},{"rel":"images","href":"/dashboards/14419/images"},{"rel":"thumbnails","href":"/dashboards/14419/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14690,"status":1,"statusCode":"active","orgId":511703,"orgSlug":"pasqualepeluso","orgName":"pasqualepeluso","slug":"workload-automation-performance-metrics","downloads":311,"revisionId":21802,"revision":1,"name":"HCL Workload Automation Grafana Dashboard for Kubernetes environments 9.5 FP4","description":"Visualize Workload Automation and related Kubernetes metrics","readme":"# HCL Workload Automation Performance Dashboard\r\n## Overview\r\n-----\r\nHCL Workload Automation uses Grafana to display performance data related to the product. This data includes metrics related to the server and console application servers (WebSphere Application Server Liberty Base), your workload, your workstations, critical jobs, message queues, the database connection status, and more. Metrics provide insight into the state, health, and performance of your deployments and infrastructure. HCL Workload Automation cloud metric monitoring uses an opensource Cloud Native Computing Foundation (CNCF) project called Prometheus. 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display information about your Hikvision IP Cameras. The Hikvision MIBs do not support a ton of useful information, but this dashboard does display the information I was looking to monitor.  \r\n\r\nThis dashboard works with a telegraf collector which can be found over [here](https://github.com/heathda/hikvision-telegraf-collector).\r\n\r\nThe graphs are dynamic and change based on the number of cameras you are collecting data on. Additionally you can view a single camera, a few cameras, or all cameras based on the variable selected at the top of the dashboard in the \"Camera IP\" dropdown.\r\n\r\nThe dataSource variable you select at the top of the page will represent the hostname/IP address of the device you have your influxdb residing. This dashboard is setup to query the \"snmp\" measurement (more commonly known as a table in other databases) in the influx database.\r\n\r\nIf your data is stored in a different measurement (table), you will need to adjust that in the query section of the first camera table/gauges/graphs. Select only the first camera in the \"Camera IP\" drop down, make your changes to the query for each table/gauges/graphs in that section, and that change will propagate throughout the rest of the dynamically created table/gauges/graphs.\r\n\r\n### Statistics Displayed  \r\n\r\nManufacturer  \r\nDevice Model  \r\nCPU Percentage  \r\nMemory Percentage  \r\nStatic IP  \r\nVideo Encoding","collectorType":"Telegraf","collectorConfig":"````\r\n############################################################################\r\n#                          INPUT PLUGINS                                   #\r\n############################################################################\r\n\r\n#HIKVISION IP Camera telegraf snmp collector\r\n#Uses the HIK-DEVICE-MIB\r\n\r\n\r\n[[inputs.snmp]]\r\n  agents = [ \"IP-ADDRESS\" ]\r\n  version = 2\r\n  community = \"public\"\r\n  interval = \"60s\"\r\n  timeout = \"10s\"\r\n  retries = 3\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"manufacturer\"\r\n    oid = \"HIK-DEVICE-MIB::manufacturer.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"deviceModel\"\r\n    oid = \"HIK-DEVICE-MIB::deviceType.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name=\"cpuPercent\"\r\n    oid = \"HIK-DEVICE-MIB::cpuPercent.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name=\"memUsed\"\r\n    oid = \"HIK-DEVICE-MIB::memUsed.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name=\"staticIp\"\r\n    oid = \"HIK-DEVICE-MIB::staticIpAddr.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name=\"vidEncode\"\r\n    oid = \"HIK-DEVICE-MIB::videoEncode.0\"\r\n  \r\n  [[processors.regex]]\r\n    order = 1\r\n    namepass = [\"snmp\"]\r\n    [[processors.regex.fields]]\r\n      key = \"cpuPercent\"\r\n      pattern = \"^(\\\\d+).*\"\r\n      replacement = \"${1}\"\r\n    [[processors.regex.fields]]\r\n      key = \"memUsed\"\r\n      pattern = \"^(\\\\d+).*\"\r\n      replacement = \"${1}\"\r\n\r\n  [[processors.converter]]\r\n    order = 2\r\n    [processors.converter.fields]\r\n      integer = [\"cpuPercent\",\"memUsed\"]\r\n````","collectorPluginList":"influxdb","datasource":"InfluxDB","privacy":"public","createdAt":"2020-10-05T20:07:14.000Z","updatedAt":"2020-10-05T20:37:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13107"},{"rel":"revisions","href":"/dashboards/13107/revisions"},{"rel":"revision","href":"/dashboards/13107/revisions/1"},{"rel":"download","href":"/dashboards/13107/revisions/1/download"},{"rel":"org","href":"/orgs/heathmandaniel"},{"rel":"images","href":"/dashboards/13107/images"},{"rel":"thumbnails","href":"/dashboards/13107/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14732,"status":1,"statusCode":"active","orgId":443077,"orgSlug":"ezhil","orgName":"ezhil","slug":"historic-data","downloads":487,"revisionId":21889,"revision":1,"name":"Historic Data","description":"Jmeter Influxdb Historical dashboard","readme":"Jmeter - Historic Data comparison for Influxdb listener","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-07-17T17:55:14.000Z","updatedAt":"2021-07-17T18:02:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14732"},{"rel":"revisions","href":"/dashboards/14732/revisions"},{"rel":"revision","href":"/dashboards/14732/revisions/1"},{"rel":"download","href":"/dashboards/14732/revisions/1/download"},{"rel":"org","href":"/orgs/ezhil"},{"rel":"images","href":"/dashboards/14732/images"},{"rel":"thumbnails","href":"/dashboards/14732/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14177,"status":1,"statusCode":"active","orgId":479333,"orgSlug":"cfstras","orgName":"cfstras","slug":"hitron-router","downloads":296,"revisionId":20833,"revision":3,"name":"Hitron CGNV4-FX2 Router","description":"Dashboard for a Hitron CGNV4-FX2 router, monitored by https://github.com/cfstras/hitron-exporter","readme":"## How-to:\r\n\r\n1. Deploy the hitron-exporter from [github.com/cfstras/hitron-exporter](https://github.com/cfstras/hitron-exporter)\r\n2. Point your prometheus.yml to scrape the exporter\r\n3. Import this dashboard!\r\n\r\n---\r\n![](https://grafana.com/api/dashboards/14177/images/10179/image)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-04-04T16:57:01.000Z","updatedAt":"2021-04-04T17:17:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14177"},{"rel":"revisions","href":"/dashboards/14177/revisions"},{"rel":"revision","href":"/dashboards/14177/revisions/3"},{"rel":"download","href":"/dashboards/14177/revisions/3/download"},{"rel":"org","href":"/orgs/cfstras"},{"rel":"images","href":"/dashboards/14177/images"},{"rel":"thumbnails","href":"/dashboards/14177/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10188,"status":1,"statusCode":"active","orgId":248212,"orgSlug":"mandalae","orgName":"Chris Skaaning","slug":"hive-data","downloads":823,"revisionId":14273,"revision":2,"name":"Hive Data","description":"","readme":"See here for collection information:\r\n\r\nhttps://github.com/mandalae/hive-data","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-05-13T07:51:54.000Z","updatedAt":"2019-05-16T07:48:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10188"},{"rel":"revisions","href":"/dashboards/10188/revisions"},{"rel":"revision","href":"/dashboards/10188/revisions/2"},{"rel":"download","href":"/dashboards/10188/revisions/2/download"},{"rel":"org","href":"/orgs/mandalae"},{"rel":"images","href":"/dashboards/10188/images"},{"rel":"thumbnails","href":"/dashboards/10188/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21777,"status":1,"statusCode":"active","orgId":567902,"orgSlug":"theguild","orgName":"Software Products Guilda Ltd (516232675)","slug":"mesh","downloads":681,"revisionId":34075,"revision":1,"name":"Hive-Gateway (aka GraphQL-Mesh)","description":"A ready to use dashboard for using with GraphQL-Hive Gateway (aka GraphQL-Mesh v1). ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-08-27T10:33:45.000Z","updatedAt":"2024-08-27T10:37:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21777"},{"rel":"revisions","href":"/dashboards/21777/revisions"},{"rel":"revision","href":"/dashboards/21777/revisions/1"},{"rel":"download","href":"/dashboards/21777/revisions/1/download"},{"rel":"org","href":"/orgs/theguild"},{"rel":"images","href":"/dashboards/21777/images"},{"rel":"thumbnails","href":"/dashboards/21777/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8273,"status":1,"statusCode":"active","orgId":198023,"orgSlug":"mattozeiro","orgName":"Marco Aurelio","slug":"hiveeyes-open-hive-clemens-default-2-edit-for-demo","downloads":386,"revisionId":11336,"revision":1,"name":"hiveeyes-open-hive-clemens-default-2 edit for demo","description":"Beekeeper cockpit derived from silver master derived from weef's version of MUC-MH-B99","readme":"","collectorType":"Snap","collectorConfig":null,"collectorPluginList":"MySQL","datasource":"Sun and Moon, InfluxDB","privacy":"public","createdAt":"2018-10-08T17:59:58.000Z","updatedAt":"2018-10-08T18:16:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8273"},{"rel":"revisions","href":"/dashboards/8273/revisions"},{"rel":"revision","href":"/dashboards/8273/revisions/1"},{"rel":"download","href":"/dashboards/8273/revisions/1/download"},{"rel":"org","href":"/orgs/mattozeiro"},{"rel":"images","href":"/dashboards/8273/images"},{"rel":"thumbnails","href":"/dashboards/8273/thumbnails"}],"datasourceSlugs":["fetzerch-sunandmoon-datasource","influxdb"]},{"id":21266,"status":1,"statusCode":"active","orgId":1145863,"orgSlug":"shanuz30","orgName":"shanuz30","slug":"hivemq-dashboard-monitor-prometheus-new","downloads":375,"revisionId":33111,"revision":1,"name":"HiveMQ Dashboard Monitor Prometheus New","description":"Dashboard for mqtt","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-10T11:00:54.000Z","updatedAt":"2024-06-10T11:02:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21266"},{"rel":"revisions","href":"/dashboards/21266/revisions"},{"rel":"revision","href":"/dashboards/21266/revisions/1"},{"rel":"download","href":"/dashboards/21266/revisions/1/download"},{"rel":"org","href":"/orgs/shanuz30"},{"rel":"images","href":"/dashboards/21266/images"},{"rel":"thumbnails","href":"/dashboards/21266/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23516,"status":1,"statusCode":"active","orgId":465437,"orgSlug":"sweethome","orgName":"ATME","slug":"hlf-smartbft-dashboard","downloads":372,"revisionId":37389,"revision":1,"name":"HLF SmartBFT Dashboard","description":"Comprehensive monitoring dashboard for Hyperledger Fabric networks using SmartBFT consensus algorithm. Tracks view changes, transaction processing, batch metrics, and pool performance.","readme":"# HLF SmartBFT Dashboard\r\n\r\nComprehensive monitoring dashboard for Hyperledger Fabric networks using SmartBFT consensus algorithm.\r\n\r\n## 📊 Overview\r\n\r\nThis dashboard provides detailed insights into SmartBFT consensus performance, transaction processing, and network health for Hyperledger Fabric deployments.\r\n\r\n## ✨ Features\r\n\r\n### View Metrics\r\n- **View Decisions**: Tracks consensus decisions made by SmartBFT\r\n- **Leader ID**: Current consensus leader identification\r\n- **View Number**: Current view in the consensus process\r\n- **Batch Processing**: Transaction batching and processing rates\r\n- **Sequence Numbers**: Proposal sequence tracking within views\r\n\r\n### Viewchange and Sync\r\n- **Current/Next/Real Views**: View transition monitoring\r\n- **Sync Performance**: Node synchronization metrics and timing\r\n- **Reconfiguration**: Network reconfiguration request tracking\r\n\r\n### Pool Management\r\n- **Request Pool Size**: Number of pending consensus requests\r\n- **Pool Latency**: Time requests spend in the pool\r\n- **Forward Requests**: Leader forwarding statistics\r\n- **Pool Failures**: Failed request insertion tracking with reasons\r\n- **Timeout Handling**: Second timeout request monitoring\r\n\r\n### System Health\r\n- **WAL Files**: Write-Ahead Log file count monitoring\r\n- **Blacklist**: Node blacklisting and exclusion tracking\r\n\r\n## 📋 Requirements\r\n\r\n### Data Source\r\n- **Prometheus** with SmartBFT metrics collection\r\n\r\n### Required Metrics\r\nThe dashboard expects these Prometheus metric families:\r\n\r\n```\r\n# View and consensus metrics\r\nconsensus_smartbft_view_decisions\r\nconsensus_smartbft_view_leader_id\r\nconsensus_smartbft_view_number\r\nconsensus_smartbft_view_count_batch_all\r\nconsensus_smartbft_view_count_txs_all\r\nconsensus_smartbft_view_count_txs_in_batch\r\nconsensus_smartbft_view_size_batch\r\nconsensus_smartbft_view_proposal_sequence\r\nconsensus_smartbft_view_latency_batch_processing_bucket\r\n\r\n# Viewchange metrics\r\nconsensus_smartbft_viewchange_current_view\r\nconsensus_smartbft_viewchange_next_view\r\nconsensus_smartbft_viewchange_real_view\r\nconsensus_smartbft_consensus_latency_sync_sum\r\nconsensus_smartbft_consensus_latency_sync_count\r\nconsensus_smartbft_consensus_reconfig\r\n\r\n# Pool metrics\r\nconsensus_smartbft_pool_count_of_elements\r\nconsensus_smartbft_pool_count_of_elements_all\r\nconsensus_smartbft_pool_latency_of_elements_sum\r\nconsensus_smartbft_pool_latency_of_elements_count\r\nconsensus_smartbft_pool_count_of_fail_add_request\r\nconsensus_smartbft_pool_count_leader_forward_request\r\nconsensus_smartbft_pool_count_of_delete_request\r\nconsensus_smartbft_pool_count_timeout_two_step\r\n\r\n# System metrics\r\nconsensus_smartbft_wal_count_of_files\r\nconsensus_smartbft_blacklist_count\r\nconsensus_smartbft_node_id_in_blacklist\r\n```\r\n\r\n### Hyperledger Fabric Setup\r\n- Fabric network with SmartBFT consensus enabled\r\n- Prometheus metrics exporter configured\r\n- Proper metric scraping intervals (recommended: 15-30s)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-06-04T08:38:52.000Z","updatedAt":"2025-06-04T10:07:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23516"},{"rel":"revisions","href":"/dashboards/23516/revisions"},{"rel":"revision","href":"/dashboards/23516/revisions/1"},{"rel":"download","href":"/dashboards/23516/revisions/1/download"},{"rel":"org","href":"/orgs/sweethome"},{"rel":"images","href":"/dashboards/23516/images"},{"rel":"thumbnails","href":"/dashboards/23516/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13447,"status":1,"statusCode":"active","orgId":28400,"orgSlug":"lpic10","orgName":"lpic10","slug":"home","downloads":338,"revisionId":19668,"revision":3,"name":"Home","description":"","readme":"Repository for the monitoring of my home raspberry pi\r\n\r\nUsing telegraf + grafana cloud + influxcloud v2\r\n\r\nCheck https://github.com/lpic10/rpi-influxv2-telegraf-grafana","collectorType":"Telegraf","collectorConfig":"https://github.com/lpic10/rpi-influxv2-telegraf-grafana","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-11-21T13:56:57.000Z","updatedAt":"2020-11-26T12:45:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13447"},{"rel":"revisions","href":"/dashboards/13447/revisions"},{"rel":"revision","href":"/dashboards/13447/revisions/3"},{"rel":"download","href":"/dashboards/13447/revisions/3/download"},{"rel":"org","href":"/orgs/lpic10"},{"rel":"images","href":"/dashboards/13447/images"},{"rel":"thumbnails","href":"/dashboards/13447/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17500,"status":1,"statusCode":"active","orgId":233020,"orgSlug":"jlecomte","orgName":"jlecomte","slug":"home","downloads":279,"revisionId":26871,"revision":1,"name":"Home","description":"Lorem ipsum sit dolor amet","readme":"Lorem ipsum sit dolor amet","collectorType":"nodeExporter","collectorConfig":"Lorem ipsum sit dolor amet","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-26T18:30:12.000Z","updatedAt":"2022-11-26T18:31:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17500"},{"rel":"revisions","href":"/dashboards/17500/revisions"},{"rel":"revision","href":"/dashboards/17500/revisions/1"},{"rel":"download","href":"/dashboards/17500/revisions/1/download"},{"rel":"org","href":"/orgs/jlecomte"},{"rel":"images","href":"/dashboards/17500/images"},{"rel":"thumbnails","href":"/dashboards/17500/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19142,"status":1,"statusCode":"active","orgId":249003,"orgSlug":"ntarquini","orgName":"Nicolas Tarquini","slug":"home","downloads":288,"revisionId":29313,"revision":1,"name":"Home","description":"Home SRE","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-10T18:09:13.000Z","updatedAt":"2023-07-10T18:09:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19142"},{"rel":"revisions","href":"/dashboards/19142/revisions"},{"rel":"revision","href":"/dashboards/19142/revisions/1"},{"rel":"download","href":"/dashboards/19142/revisions/1/download"},{"rel":"org","href":"/orgs/ntarquini"},{"rel":"images","href":"/dashboards/19142/images"},{"rel":"thumbnails","href":"/dashboards/19142/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22928,"status":1,"statusCode":"active","orgId":1358749,"orgSlug":"ypid","orgName":"ypid","slug":"home-assistant-sensor-data","downloads":496,"revisionId":36230,"revision":1,"name":"Home Assistant sensor data","description":"Thoughtful data model for long-term sensor time series with Home Assistant and alot of useful metadata from Home Assistant.","readme":"* [Needed Home Assistant Core patch](https://github.com/ypid/home-assistant-core/pull/1)\r\n* See [this post in the Home Assistant forum](https://community.home-assistant.io/t/data-model-and-code-to-add-useful-metadata-to-influxdb-as-tags/855242) for details.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-02-24T19:23:53.000Z","updatedAt":"2025-02-26T19:44:50.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22928"},{"rel":"revisions","href":"/dashboards/22928/revisions"},{"rel":"revision","href":"/dashboards/22928/revisions/1"},{"rel":"download","href":"/dashboards/22928/revisions/1/download"},{"rel":"org","href":"/orgs/ypid"},{"rel":"images","href":"/dashboards/22928/images"},{"rel":"thumbnails","href":"/dashboards/22928/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15001,"status":1,"statusCode":"active","orgId":403347,"orgSlug":"cougar","orgName":"cougar","slug":"home-assistant-state-changes","downloads":1112,"revisionId":22404,"revision":2,"name":"Home Assistant state changes","description":"","readme":"### Requirements and Installation\r\n\r\n* Install [InfluxDB v1.8+]\r\n* Add [InfluxDB integration] to [Home Assistant]\r\n* Add [InfluxDB datasource] to [Grafana], select **[Flux]** Query Language\r\n* [Import] this [dashboard]\r\n\r\n---\r\nFor InfluxQL (InfluxDB v1), use this [dashboard.]\r\n\r\n  [InfluxDB v1.8+]: <https://docs.influxdata.com/influxdb/v2.0/>\r\n  [InfluxDB integration]: <https://www.home-assistant.io/integrations/influxdb/>\r\n  [Home Assistant]: <https://www.home-assistant.io/>\r\n  [InfluxDB datasource]: <https://grafana.com/docs/grafana/latest/datasources/influxdb/>\r\n  [Grafana]: <https://grafana.com/>\r\n  [Flux]: <https://grafana.com/docs/grafana/latest/datasources/influxdb/influxdb-flux/>\r\n  [Import]: <https://grafana.com/docs/grafana/latest/reference/export_import/#importing-a-dashboard>\r\n  [dashboard]: <https://grafana.com/grafana/dashboards/15001>\r\n  [dashboard.]: <https://grafana.com/grafana/dashboards/12705>","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-09-12T20:07:18.000Z","updatedAt":"2021-09-12T21:17:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15001"},{"rel":"revisions","href":"/dashboards/15001/revisions"},{"rel":"revision","href":"/dashboards/15001/revisions/2"},{"rel":"download","href":"/dashboards/15001/revisions/2/download"},{"rel":"org","href":"/orgs/cougar"},{"rel":"images","href":"/dashboards/15001/images"},{"rel":"thumbnails","href":"/dashboards/15001/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12705,"status":1,"statusCode":"active","orgId":403347,"orgSlug":"cougar","orgName":"cougar","slug":"home-assistant-state-changes","downloads":4715,"revisionId":18308,"revision":3,"name":"Home Assistant state changes (InfluxQL)","description":"Home Assistant state changes using InfluxDB integration","readme":"### Requirements and Installation\r\n\r\n* Install [InfluxDB]\r\n* Add [InfluxDB integration] to [Home Assistant]\r\n* Add [InfluxDB datasource] to [Grafana]\r\n* [Import] this [dashboard]\r\n\r\n---\r\nFor Flux (InfluxDB v1.8+), use this [dashboard.]\r\n\r\n  [InfluxDB]: <https://www.influxdata.com/products/influxdb-overview/>\r\n  [InfluxDB integration]: <https://www.home-assistant.io/integrations/influxdb/>\r\n  [Home Assistant]: <https://www.home-assistant.io/>\r\n  [InfluxDB datasource]: <https://grafana.com/docs/grafana/latest/features/datasources/influxdb/>\r\n  [Grafana]: <https://grafana.com/>\r\n  [Import]: <https://grafana.com/docs/grafana/latest/reference/export_import/#importing-a-dashboard>\r\n  [dashboard]: <https://grafana.com/grafana/dashboards/12705>\r\n  [dashboard.]: <https://grafana.com/grafana/dashboards/15001>","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-07-24T22:56:24.000Z","updatedAt":"2021-09-12T20:36:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/12705"},{"rel":"revisions","href":"/dashboards/12705/revisions"},{"rel":"revision","href":"/dashboards/12705/revisions/3"},{"rel":"download","href":"/dashboards/12705/revisions/3/download"},{"rel":"org","href":"/orgs/cougar"},{"rel":"images","href":"/dashboards/12705/images"},{"rel":"thumbnails","href":"/dashboards/12705/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15832,"status":1,"statusCode":"active","orgId":610179,"orgSlug":"goyalankit","orgName":"goyalankit","slug":"home-assistant","downloads":6517,"revisionId":23983,"revision":2,"name":"Home Assistant System","description":"A starter dashboard for home assistant system 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I summarized it [here](https://tobisyurt.net/home-energy).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-03-02T12:06:17.000Z","updatedAt":"2025-02-14T16:30:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18212"},{"rel":"revisions","href":"/dashboards/18212/revisions"},{"rel":"revision","href":"/dashboards/18212/revisions/2"},{"rel":"download","href":"/dashboards/18212/revisions/2/download"},{"rel":"org","href":"/orgs/coffeeflash"},{"rel":"images","href":"/dashboards/18212/images"},{"rel":"thumbnails","href":"/dashboards/18212/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22883,"status":1,"statusCode":"active","orgId":1354544,"orgSlug":"woodyb4u","orgName":"woodyb4u","slug":"home-energy-power-consumption-monitoring","downloads":282,"revisionId":36156,"revision":1,"name":"Home Energy Power Consumption Monitoring","description":"Experience unparalleled insights into your home energy consumption with the 'Home Energy Consumption Dashboard,' offering real-time data from Shelly 3PM through its RESTAPI interface. 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dashboard template for monitoring Home Lab infrastructure, integrating monitoring data from key components such as routers, virtualization platforms, NAS, containers, and UPS.","readme":"# Home Lab Infrastructure Grafana Dashboard\r\n\r\n## 简介\r\n\r\n这是一个用于监控 Home Lab 基础设施的 Grafana 仪表板模板，整合了路由器、虚拟化平台、NAS、容器和 UPS 等关键组件的监控数据。\r\n\r\n## 监控组件\r\n\r\n| 组件 | 指标 |\r\n|------|------|\r\n| **iKuai 路由器** | WAN 状态、上下行速度、连接数、在线设备数 |\r\n| **PVE (Proxmox VE)** | CPU 负载/使用率、内存使用率、VM/LXC 状态、网络流量、磁盘 I/O |\r\n| **TrueNAS NAS** | 存储池容量、硬盘温度 |\r\n| **Docker** | 容器数量、CPU 使用率、资源占用 |\r\n| **UPS (NUT)** | 输入电压、电池剩余容量 |\r\n| **Backrest** | 备份状态、新增数据量趋势、备份时长趋势 |\r\n\r\n## 数据源要求\r\n\r\n- **Prometheus** (uid: `aekrbujo40rnkf`) 作为主要数据源\r\n- 以下 exporters 需已配置并向 Prometheus 暴露指标：\r\n  - `ikuai-aio` - iKuai 路由器 exporter\r\n  - `truenas` - TrueNAS exporter\r\n  - `cadvisor` - Docker 容器监控\r\n  - `nut` - UPS 监控\r\n  - `pbs` - Proxmox Backup Server\r\n  - `backrest` - 备份任务监控\r\n\r\n## 导入方式\r\n\r\n1. 在 Grafana 中选择 **+ Import**\r\n2. 上传 JSON 文件或粘贴 JSON 内容\r\n3. 选择 Prometheus 数据源\r\n4. 点击 Import\r\n\r\n## 面板说明\r\n\r\n- **概览区（左上）：** WAN 状态、连接数、上下行速度\r\n- **设备区（中上）：** 在线设备数、Docker 容器状态\r\n- **基础设施区（左中）：** PVE CPU/内存、在线/离线 VM\r\n- **存储区（中下）：** 池容量、NAS 硬盘温度、UPS 状态\r\n- **趋势区（底部）：** PVE CPU 历史、Docker 资源、Backrest 备份趋势","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB, Prometheus","privacy":"public","createdAt":"2026-04-09T13:25:41.000Z","updatedAt":"2026-04-09T13:41:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25143"},{"rel":"revisions","href":"/dashboards/25143/revisions"},{"rel":"revision","href":"/dashboards/25143/revisions/1"},{"rel":"download","href":"/dashboards/25143/revisions/1/download"},{"rel":"org","href":"/orgs/limbuntu"},{"rel":"images","href":"/dashboards/25143/images"},{"rel":"thumbnails","href":"/dashboards/25143/thumbnails"}],"datasourceSlugs":["influxdb","prometheus"]},{"id":11734,"status":1,"statusCode":"active","orgId":251845,"orgSlug":"ayanev","orgName":"ayanev","slug":"home-metrics","downloads":384,"revisionId":17331,"revision":2,"name":"Home metrics","description":"Home metrics","readme":"Home metrics from IoT sensors, stored in influxDB using Node-RED\n\nNode-Red flow\n```json\n[\n    {\n        \"id\": \"d763cdc1.4ee26\",\n        \"type\": \"tab\",\n        \"label\": \"Sensors\",\n        \"disabled\": false,\n        \"info\": \"\"\n    },\n    {\n        \"id\": \"deb53247.63756\",\n        \"type\": \"mqtt in\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"\",\n        \"topic\": \"indoorWeatherStation/temperature\",\n        \"qos\": \"1\",\n        \"broker\": \"44f2079.480e2f8\",\n        \"x\": 260,\n        \"y\": 140,\n        \"wires\": [\n            [\n                \"ee497f11.f718\",\n                \"c3393cb4.62841\",\n                \"d93c4240.2e5a3\",\n                \"fe76258f.0b7108\"\n            ]\n        ]\n    },\n    {\n        \"id\": \"3622902c.b82ce\",\n        \"type\": \"mqtt in\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"\",\n        \"topic\": \"indoorWeatherStation/humidity\",\n        \"qos\": \"1\",\n        \"datatype\": \"auto\",\n        \"broker\": \"44f2079.480e2f8\",\n        \"x\": 250,\n        \"y\": 320,\n        \"wires\": [\n            [\n                \"9851d759.7d25a8\",\n                \"496fdfaa.e5283\",\n                \"2dfe8383.c9c93c\"\n            ]\n        ]\n    },\n    {\n        \"id\": \"b55e50b5.ca679\",\n        \"type\": \"mqtt in\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"\",\n        \"topic\": \"indoorWeatherStation/pressure\",\n        \"qos\": \"1\",\n        \"datatype\": \"auto\",\n        \"broker\": \"44f2079.480e2f8\",\n        \"x\": 250,\n        \"y\": 440,\n        \"wires\": [\n            [\n                \"c7bd98c5.2aa738\",\n                \"5dd5e12f.77f8f\"\n            ]\n        ]\n    },\n    {\n        \"id\": \"9851d759.7d25a8\",\n        \"type\": \"ui_gauge\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"Humidity gauge\",\n        \"group\": \"e805c221.be268\",\n        \"order\": 3,\n        \"width\": \"3\",\n        \"height\": \"3\",\n        \"gtype\": \"wave\",\n        \"title\": \"Humidity\",\n        \"label\": \"%\",\n        \"format\": \"{{value|number:1}}\",\n        \"min\": 0,\n        \"max\": \"100\",\n        \"colors\": [\n            \"#5a5a5a\",\n            \"#34b92d\",\n            \"#0202ff\"\n        ],\n        \"seg1\": \"\",\n        \"seg2\": \"\",\n        \"x\": 900,\n        \"y\": 320,\n        \"wires\": []\n    },\n    {\n        \"id\": \"ee497f11.f718\",\n        \"type\": \"ui_gauge\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"Temperature gauge\",\n        \"group\": \"e805c221.be268\",\n        \"order\": 2,\n        \"width\": \"3\",\n        \"height\": \"3\",\n        \"gtype\": \"gage\",\n        \"title\": \"Temperature\",\n        \"label\": \"°C\",\n        \"format\": \"{{value|number:1}}\",\n        \"min\": \"-20\",\n        \"max\": \"50\",\n        \"colors\": [\n            \"#0000ff\",\n            \"#00bb00\",\n            \"#ca3838\"\n        ],\n        \"seg1\": \"0\",\n        \"seg2\": \"30\",\n        \"x\": 910,\n        \"y\": 140,\n        \"wires\": []\n    },\n    {\n        \"id\": \"8d568429.a0ce38\",\n        \"type\": \"ui_gauge\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"Pressure gauge\",\n        \"group\": \"e805c221.be268\",\n        \"order\": 4,\n        \"width\": \"3\",\n        \"height\": \"3\",\n        \"gtype\": \"gage\",\n        \"title\": \"Pressure\",\n        \"label\": \"hPa\",\n        \"format\": \"{{value|number:2}}\",\n        \"min\": \"900\",\n        \"max\": \"1100\",\n        \"colors\": [\n            \"#00b500\",\n            \"#e6e600\",\n            \"#ca3838\"\n        ],\n        \"seg1\": \"\",\n        \"seg2\": \"\",\n        \"x\": 900,\n        \"y\": 440,\n        \"wires\": []\n    },\n    {\n        \"id\": \"3c4542f3.211b9e\",\n        \"type\": \"mqtt in\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"\",\n        \"topic\": \"indoorWeatherStation/light\",\n        \"qos\": \"1\",\n        \"broker\": \"44f2079.480e2f8\",\n        \"x\": 230,\n 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\"d763cdc1.4ee26\",\n        \"name\": \"Light Chart\",\n        \"group\": \"e805c221.be268\",\n        \"order\": 9,\n        \"width\": \"0\",\n        \"height\": \"0\",\n        \"label\": \"Light, 24h\",\n        \"chartType\": \"line\",\n        \"legend\": \"false\",\n        \"xformat\": \"HH:mm\",\n        \"interpolate\": \"linear\",\n        \"nodata\": \"\",\n        \"dot\": false,\n        \"ymin\": \"0\",\n        \"ymax\": \"1\",\n        \"removeOlder\": \"24\",\n        \"removeOlderPoints\": \"200\",\n        \"removeOlderUnit\": \"3600\",\n        \"cutout\": 0,\n        \"useOneColor\": false,\n        \"colors\": [\n            \"#3f6489\",\n            \"#aec7e8\",\n            \"#ff7f0e\",\n            \"#2ca02c\",\n            \"#98df8a\",\n            \"#d62728\",\n            \"#ff9896\",\n            \"#9467bd\",\n            \"#c5b0d5\"\n        ],\n        \"useOldStyle\": false,\n        \"outputs\": 2,\n        \"x\": 890,\n        \"y\": 600,\n        \"wires\": [\n            [],\n            []\n        ]\n    },\n    {\n        \"id\": \"6749f7.bda72608\",\n        \"type\": \"comment\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"Living room sensor\",\n        \"info\": \"\",\n        \"x\": 150,\n        \"y\": 60,\n        \"wires\": []\n    },\n    {\n        \"id\": \"496fdfaa.e5283\",\n        \"type\": \"delay\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"\",\n        \"pauseType\": \"rate\",\n        \"timeout\": \"5\",\n        \"timeoutUnits\": \"seconds\",\n        \"rate\": \"1\",\n        \"nbRateUnits\": \"5\",\n        \"rateUnits\": \"minute\",\n        \"randomFirst\": \"1\",\n        \"randomLast\": \"5\",\n        \"randomUnits\": \"seconds\",\n        \"drop\": true,\n        \"x\": 540,\n        \"y\": 360,\n        \"wires\": [\n            [\n                \"e007047c.3174d8\"\n            ]\n        ]\n    },\n    {\n        \"id\": \"c3393cb4.62841\",\n        \"type\": \"delay\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"\",\n        \"pauseType\": \"rate\",\n        \"timeout\": \"5\",\n        \"timeoutUnits\": \"seconds\",\n        \"rate\": \"1\",\n        \"nbRateUnits\": \"5\",\n        \"rateUnits\": \"minute\",\n        \"randomFirst\": \"1\",\n        \"randomLast\": \"5\",\n        \"randomUnits\": \"seconds\",\n        \"drop\": true,\n        \"x\": 540,\n        \"y\": 180,\n        \"wires\": [\n            [\n                \"80773e77.0b15a\"\n            ]\n        ]\n    },\n    {\n        \"id\": \"64b26dad.db2e64\",\n        \"type\": \"delay\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"\",\n        \"pauseType\": \"rate\",\n        \"timeout\": \"5\",\n        \"timeoutUnits\": \"seconds\",\n        \"rate\": \"1\",\n        \"nbRateUnits\": \"5\",\n        \"rateUnits\": \"minute\",\n        \"randomFirst\": \"1\",\n        \"randomLast\": \"5\",\n        \"randomUnits\": \"seconds\",\n        \"drop\": true,\n        \"x\": 720,\n        \"y\": 480,\n        \"wires\": [\n            [\n                \"4036dadb.5f9824\"\n            ]\n        ]\n    },\n    {\n        \"id\": \"4cd973ee.27667c\",\n        \"type\": \"delay\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"\",\n        \"pauseType\": \"rate\",\n        \"timeout\": \"5\",\n        \"timeoutUnits\": \"seconds\",\n        \"rate\": \"1\",\n        \"nbRateUnits\": \"5\",\n        \"rateUnits\": \"minute\",\n        \"randomFirst\": \"1\",\n        \"randomLast\": \"5\",\n        \"randomUnits\": \"seconds\",\n        \"drop\": true,\n        \"x\": 720,\n        \"y\": 600,\n        \"wires\": [\n            [\n                \"d56433d1.f1006\"\n            ]\n        ]\n    },\n    {\n        \"id\": \"2f3d8ba0.6d4684\",\n        \"type\": \"mqtt in\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"\",\n        \"topic\": \"indoorWeatherStation/voltage\",\n        \"qos\": \"1\",\n        \"broker\": \"a3428f90.a1f0d\",\n        \"x\": 240,\n        \"y\": 1020,\n        \"wires\": [\n            [\n                \"25559cd7.4c6414\"\n            ]\n        ]\n    },\n    {\n        \"id\": \"25559cd7.4c6414\",\n        \"type\": \"function\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"scale\",\n        \"func\": \"msg.payload *= 3.304 / 2788;\\nreturn msg;\",\n        \"outputs\": 1,\n        \"noerr\": 0,\n        \"x\": 450,\n        \"y\": 1020,\n        \"wires\": [\n            []\n        ]\n    },\n    {\n        \"id\": \"c7bd98c5.2aa738\",\n        \"type\": \"function\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"pascal to hecto\",\n        \"func\": \"msg.payload *= 0.01;\\nreturn msg;\",\n        \"outputs\": 1,\n        \"noerr\": 0,\n        \"x\": 540,\n        \"y\": 440,\n        \"wires\": [\n            [\n                \"64b26dad.db2e64\",\n                \"8d568429.a0ce38\"\n            ]\n        ]\n    },\n    {\n        \"id\": \"4036dadb.5f9824\",\n        \"type\": \"ui_chart\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"Pressure Chart\",\n        \"group\": \"e805c221.be268\",\n        \"order\": 8,\n        \"width\": \"0\",\n        \"height\": \"0\",\n        \"label\": \"hPa last 24h\",\n        \"chartType\": \"line\",\n        \"legend\": \"false\",\n        \"xformat\": \"HH:mm\",\n        \"interpolate\": \"linear\",\n        \"nodata\": \"\",\n        \"dot\": false,\n        \"ymin\": \"\",\n        \"ymax\": \"\",\n        \"removeOlder\": \"24\",\n        \"removeOlderPoints\": \"200\",\n        \"removeOlderUnit\": \"3600\",\n        \"cutout\": 0,\n        \"useOneColor\": false,\n        \"colors\": [\n            \"#00c59a\",\n            \"#aec7e8\",\n            \"#ff7f0e\",\n            \"#2ca02c\",\n            \"#98df8a\",\n            \"#d62728\",\n            \"#ff9896\",\n            \"#9467bd\",\n            \"#c5b0d5\"\n        ],\n        \"useOldStyle\": false,\n        \"outputs\": 2,\n        \"x\": 900,\n        \"y\": 480,\n        \"wires\": [\n            [],\n            []\n        ]\n    },\n    {\n        \"id\": \"f80b0c55.499df\",\n        \"type\": \"ui_text\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"group\": \"e805c221.be268\",\n        \"order\": 1,\n        \"width\": \"0\",\n        \"height\": \"0\",\n        \"name\": \"\",\n        \"label\": \"Last Update\",\n        \"format\": \"{{msg.payload}}\",\n        \"layout\": \"row-spread\",\n        \"x\": 890,\n        \"y\": 680,\n        \"wires\": []\n    },\n    {\n        \"id\": \"d93c4240.2e5a3\",\n        \"type\": \"function\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"last updated\",\n        \"func\": \"var time = new Date();\\nvar year = time.getFullYear();\\nvar month = time.getMonth()+1;\\nvar date1 = time.getDate();\\nvar hour = time.getHours();\\nvar minutes = time.getMinutes();\\nvar seconds = time.getSeconds();\\n\\nmsg.payload = (year + \\\"-\\\" + month + \\\"-\\\"+date1+\\\" \\\"+hour+\\\":\\\"+minutes+\\\":\\\"+seconds + \\\" UTC\\\");\\n\\n\\n\\n\\nreturn msg;\",\n        \"outputs\": 1,\n        \"noerr\": 0,\n        \"x\": 530,\n        \"y\": 680,\n        \"wires\": [\n            [\n                \"f80b0c55.499df\"\n            ]\n        ]\n    },\n    {\n        \"id\": \"80773e77.0b15a\",\n        \"type\": \"function\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"format\",\n        \"func\": \"\\nmsg.topic = '°C';\\n\\nreturn msg;\\n\",\n        \"outputs\": 1,\n        \"noerr\": 0,\n        \"x\": 730,\n        \"y\": 220,\n        \"wires\": [\n            [\n                \"17daaa36.364c76\"\n            ]\n        ]\n    },\n    {\n        \"id\": \"e007047c.3174d8\",\n        \"type\": \"function\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"format\",\n        \"func\": \"\\nmsg.topic = 'RH %';\\n\\nreturn msg;\\n\",\n        \"outputs\": 1,\n        \"noerr\": 0,\n        \"x\": 730,\n        \"y\": 260,\n        \"wires\": [\n            [\n                \"17daaa36.364c76\"\n            ]\n        ]\n    },\n    {\n        \"id\": \"17daaa36.364c76\",\n        \"type\": \"ui_chart\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"Temp and RH Chart\",\n        \"group\": \"e805c221.be268\",\n        \"order\": 6,\n        \"width\": \"6\",\n        \"height\": \"6\",\n        \"label\": \"Temperature and Humidity, last 24h\",\n        \"chartType\": \"line\",\n        \"legend\": \"true\",\n        \"xformat\": \"HH:mm\",\n        \"interpolate\": \"linear\",\n        \"nodata\": \"\",\n        \"dot\": true,\n        \"ymin\": \"\",\n        \"ymax\": \"\",\n        \"removeOlder\": \"24\",\n        \"removeOlderPoints\": \"200\",\n        \"removeOlderUnit\": \"3600\",\n        \"cutout\": 0,\n        \"useOneColor\": false,\n        \"colors\": [\n            \"#3f6489\",\n            \"#00c59a\",\n            \"#ff7f0e\",\n            \"#2ca02c\",\n            \"#54cd5e\",\n            \"#d62728\",\n            \"#ff9896\",\n            \"#9467bd\",\n            \"#c5b0d5\"\n        ],\n        \"useOldStyle\": true,\n        \"outputs\": 2,\n        \"x\": 920,\n        \"y\": 240,\n        \"wires\": [\n            [],\n            []\n        ]\n    },\n    {\n        \"id\": \"1fdacae6.795275\",\n        \"type\": \"influxdb out\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"influxdb\": \"113c5fc6.51374\",\n        \"name\": \"indoor01\",\n        \"measurement\": \"indoor01\",\n        \"precision\": \"\",\n        \"retentionPolicy\": \"\",\n        \"x\": 880,\n        \"y\": 820,\n        \"wires\": []\n    },\n    {\n        \"id\": \"fe76258f.0b7108\",\n        \"type\": \"function\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"format temp\",\n        \"func\": \"\\nvar value = Math.round(msg.payload * 1e1) / 1e1;\\n\\nmsg.payload = {\\n    temperature: value\\n};\\n\\nif (!isNaN(value)) {\\n    return msg;\\n}\\n\",\n        \"outputs\": 1,\n        \"noerr\": 0,\n        \"x\": 490,\n        \"y\": 820,\n        \"wires\": [\n            [\n                \"8187ca2e.683b08\"\n            ]\n        ]\n    },\n    {\n        \"id\": \"2dfe8383.c9c93c\",\n        \"type\": \"function\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"format humidity\",\n        \"func\": \"\\nvar value = Math.round(msg.payload * 1e1) / 1e1;\\n\\nmsg.payload = {\\n    humidity: value\\n};\\n\\nif (!isNaN(value)) {\\n    return msg;\\n}\\n\\n\",\n        \"outputs\": 1,\n        \"noerr\": 0,\n        \"x\": 500,\n        \"y\": 860,\n        \"wires\": [\n            [\n                \"8187ca2e.683b08\"\n            ]\n        ]\n    },\n    {\n        \"id\": \"5dd5e12f.77f8f\",\n        \"type\": \"function\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"format pressure\",\n        \"func\": \"var value = Math.round(msg.payload * 1e1) / 1e1;\\n\\nmsg.payload = {\\n    pressure: value\\n};\\n\\nif (!isNaN(value)) {\\n    return msg;\\n}\\n\",\n        \"outputs\": 1,\n        \"noerr\": 0,\n        \"x\": 500,\n        \"y\": 900,\n        \"wires\": [\n            [\n                \"8187ca2e.683b08\"\n            ]\n        ]\n    },\n    {\n        \"id\": \"58fcdf65.c4efe\",\n        \"type\": \"function\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"format pressure\",\n        \"func\": \"var value = Math.round(msg.payload * 1e1) / 1e1;\\n\\nmsg.payload = {\\n    light: value\\n};\\n\\nif (!isNaN(value)) {\\n    return msg;\\n}\\n\",\n        \"outputs\": 1,\n        \"noerr\": 0,\n        \"x\": 500,\n        \"y\": 940,\n        \"wires\": [\n            [\n                \"8187ca2e.683b08\"\n            ]\n        ]\n    },\n    {\n        \"id\": \"8187ca2e.683b08\",\n        \"type\": \"join\",\n        \"z\": \"d763cdc1.4ee26\",\n        \"name\": \"\",\n        \"mode\": \"custom\",\n        \"build\": \"merged\",\n        \"property\": \"payload\",\n        \"propertyType\": \"msg\",\n        \"key\": \"topic\",\n        \"joiner\": \"\\\\n\",\n        \"joinerType\": \"str\",\n        \"accumulate\": false,\n        \"timeout\": \"\",\n        \"count\": \"4\",\n        \"reduceRight\": false,\n        \"reduceExp\": \"\",\n        \"reduceInit\": \"\",\n        \"reduceInitType\": \"\",\n        \"reduceFixup\": \"\",\n        \"x\": 710,\n        \"y\": 820,\n        \"wires\": [\n            [\n                \"1fdacae6.795275\"\n            ]\n        ]\n    },\n    {\n        \"id\": \"44f2079.480e2f8\",\n        \"type\": \"mqtt-broker\",\n        \"z\": \"\",\n        \"broker\": \"localhost\",\n        \"port\": \"1883\",\n        \"clientid\": \"\",\n        \"usetls\": false,\n        \"compatmode\": true,\n        \"keepalive\": \"60\",\n        \"cleansession\": true,\n        \"birthTopic\": \"\",\n        \"birthQos\": 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Single panel added for tautulli stream statistics via:\r\n\r\nhttps://github.com/Drewster727/tautulli-influxdb-export","collectorPluginList":"hddtemp, docker, influxdb, sensors ","datasource":"InfluxDB","privacy":"public","createdAt":"2018-03-28T17:53:34.000Z","updatedAt":"2018-05-22T18:05:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5357"},{"rel":"revisions","href":"/dashboards/5357/revisions"},{"rel":"revision","href":"/dashboards/5357/revisions/26"},{"rel":"download","href":"/dashboards/5357/revisions/26/download"},{"rel":"org","href":"/orgs/pengee"},{"rel":"images","href":"/dashboards/5357/images"},{"rel":"thumbnails","href":"/dashboards/5357/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10581,"status":1,"statusCode":"active","orgId":130158,"orgSlug":"ichasco","orgName":"ichasco","slug":"host-dashboard","downloads":2353,"revisionId":14857,"revision":2,"name":"Host Dashboard","description":"","readme":"Telegraf.conf\r\n\r\n```\r\n[[inputs.cpu]]\r\n  percpu = true\r\n  totalcpu = true\r\n  fielddrop = [\"time_*\"]\r\n\r\n[[inputs.disk]]\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"none\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\r\n\r\n[[inputs.diskio]]\r\n\r\n[[inputs.kernel]]\r\n\r\n[[inputs.mem]]\r\n\r\n[[inputs.swap]]\r\n\r\n[[inputs.net]]\r\n  fieldpass = [ \"bytes*\" ]\r\n\r\n[[inputs.netstat]]\r\n\r\n[[inputs.processes]]\r\n\r\n[[inputs.system]]\r\n```","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-07-21T15:08:01.000Z","updatedAt":"2019-07-30T07:44:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":5,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/10581"},{"rel":"revisions","href":"/dashboards/10581/revisions"},{"rel":"revision","href":"/dashboards/10581/revisions/2"},{"rel":"download","href":"/dashboards/10581/revisions/2/download"},{"rel":"org","href":"/orgs/ichasco"},{"rel":"images","href":"/dashboards/10581/images"},{"rel":"thumbnails","href":"/dashboards/10581/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12445,"status":1,"statusCode":"active","orgId":114783,"orgSlug":"vikramjakhr","orgName":"vikramjakhr","slug":"host-dashboard-system","downloads":2520,"revisionId":17844,"revision":1,"name":"Host Dashboard - System","description":"Display Includes: CPU, memory, disk IO, network and other monitoring metrics。","readme":"Monitoring Linux host using the metrics from Node Exporter having scrapper scrapping data via service discovery(AWS)\n\nMore details: https://github.com/vikramjakhr/adhoc/tree/master/monitoring","collectorType":"nodeExporter","collectorConfig":"global:\n  scrape_interval:     15s\n  evaluation_interval: 15s\n  scrape_timeout: 15s \n\nscrape_configs:\n- job_name: 'node'\n  ec2_sd_configs:\n  - region: us-west-2\n    port: 9100\n  - region: us-east-2\n    port: 9100\n  - region: us-east-1\n    port: 9100\n  - region: us-west-1\n    port: 9100\n  relabel_configs:\n  - source_labels: [__meta_ec2_instance_id]\n    target_label: instance\n  - source_labels: [__meta_ec2_instance_type]\n    target_label: instanceType\n  - source_labels: [__meta_ec2_owner_id]\n    target_label: ownerId\n  - source_labels: [__meta_ec2_primary_subnet_id]\n    target_label: subnet\n  - source_labels: [__meta_ec2_public_dns_name]\n    target_label: dnsname\n  - source_labels: [__meta_ec2_private_ip]\n    target_label: privateip\n  - source_labels: [__meta_ec2_public_ip]\n    target_label: publicip\n  - source_labels: [__meta_ec2_vpc_id]\n    target_label: vpcid\n  - source_labels: [__meta_ec2_tag_JobID]\n    target_label: jobId\n  - source_labels: [__meta_ec2_tag_Name]\n    target_label: jobName\n  - source_labels: [__meta_ec2_tag_ResourceType]\n    target_label: resourceType","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-06-11T07:56:44.000Z","updatedAt":"2020-06-22T11:40:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12445"},{"rel":"revisions","href":"/dashboards/12445/revisions"},{"rel":"revision","href":"/dashboards/12445/revisions/1"},{"rel":"download","href":"/dashboards/12445/revisions/1/download"},{"rel":"org","href":"/orgs/vikramjakhr"},{"rel":"images","href":"/dashboards/12445/images"},{"rel":"thumbnails","href":"/dashboards/12445/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10506,"status":1,"statusCode":"active","orgId":262824,"orgSlug":"robertvojcik","orgName":"Robert Vojcik","slug":"host-detailed-dashboard","downloads":969,"revisionId":14685,"revision":1,"name":"Host Detailed Dashboard","description":"Very detailed host dashboard. It shows stats for Disk, Kernel, Network and process stuff. Used every day for debugging purposes.","readme":"## About\nThis dashboard gives you pretty much detailed overview of your host. \nIt uses DC tag to switch between location or Datacenter rooms.\n\nYou have to set dc global tag in your `telegraf.conf`. You can implement it to your automatic configuration management and generate it for you.\n\n## Requirements\n* InfluxDB as backend service\n* Telegraf collector installed on your system\n\n## Features\n* Retention policies\n* Filter with DC (datacenter) tag\n* Disk and Network selectors\n\n\n","collectorType":"Telegraf","collectorConfig":"## Important configuration\nIn `telegraf.conf` set \n```\n# Global tags can be specified here in key=\"value\" format.\n[global_tags]\n  dc = your-datacenter\n```\n**DC tag is needed by this dashboard. It gives you ability to filter out various locations or Datacenter Rooms.**\n\n## Enabled Inputs\nMy configured input plugins are:\n* kernel \n* linux_sysctl_fs \n* net \n* nstat \n* disk \n* mem \n* system \n* conntrack \n* netstat \n* diskio \n* docker \n* cpu \n* processes \n* swap\n* puppetagent","collectorPluginList":"system, conntrack, docker, sysstat, puppetagent, nstat, net_response","datasource":"InfluxDB","privacy":"public","createdAt":"2019-07-10T14:50:38.000Z","updatedAt":"2019-07-10T15:14:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4.5,"links":[{"rel":"self","href":"/dashboards/10506"},{"rel":"revisions","href":"/dashboards/10506/revisions"},{"rel":"revision","href":"/dashboards/10506/revisions/1"},{"rel":"download","href":"/dashboards/10506/revisions/1/download"},{"rel":"org","href":"/orgs/robertvojcik"},{"rel":"images","href":"/dashboards/10506/images"},{"rel":"thumbnails","href":"/dashboards/10506/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14196,"status":1,"statusCode":"active","orgId":480101,"orgSlug":"sonerturgut","orgName":"Soner Turgut","slug":"host-details","downloads":297,"revisionId":20864,"revision":1,"name":"Host Details","description":"Host Details","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-04-07T08:28:37.000Z","updatedAt":"2021-04-07T08:28:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14196"},{"rel":"revisions","href":"/dashboards/14196/revisions"},{"rel":"revision","href":"/dashboards/14196/revisions/1"},{"rel":"download","href":"/dashboards/14196/revisions/1/download"},{"rel":"org","href":"/orgs/sonerturgut"},{"rel":"images","href":"/dashboards/14196/images"},{"rel":"thumbnails","href":"/dashboards/14196/thumbnails"}]},{"id":3021,"status":1,"statusCode":"active","orgId":13128,"orgSlug":"liudvikas","orgName":"Liudvikas ","slug":"host-metrics","downloads":1620,"revisionId":4161,"revision":3,"name":"Host Metrics","description":"Host Metrics. Collected by telegraf, stored in OpenTSDB.","readme":"","collectorType":"Telegraf","collectorConfig":"","collectorPluginList":null,"datasource":"OpenTSDB","privacy":"public","createdAt":"2017-08-21T09:38:08.000Z","updatedAt":"2017-08-21T09:54:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/3021"},{"rel":"revisions","href":"/dashboards/3021/revisions"},{"rel":"revision","href":"/dashboards/3021/revisions/3"},{"rel":"download","href":"/dashboards/3021/revisions/3/download"},{"rel":"org","href":"/orgs/liudvikas"},{"rel":"images","href":"/dashboards/3021/images"},{"rel":"thumbnails","href":"/dashboards/3021/thumbnails"}],"datasourceSlugs":["opentsdb"]},{"id":15216,"status":1,"statusCode":"active","orgId":561989,"orgSlug":"hongxinsun","orgName":"hongxinsun","slug":"host-metrics","downloads":1329,"revisionId":22813,"revision":1,"name":"Host Metrics","description":"Dash board for oceanbase host server, metrics collected using obagent","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-11-08T12:34:24.000Z","updatedAt":"2021-11-08T12:46:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15216"},{"rel":"revisions","href":"/dashboards/15216/revisions"},{"rel":"revision","href":"/dashboards/15216/revisions/1"},{"rel":"download","href":"/dashboards/15216/revisions/1/download"},{"rel":"org","href":"/orgs/hongxinsun"},{"rel":"images","href":"/dashboards/15216/images"},{"rel":"thumbnails","href":"/dashboards/15216/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24637,"status":1,"statusCode":"active","orgId":1393245,"orgSlug":"marcelklabnik","orgName":"marcelklabnik","slug":"host-metrics","downloads":7729,"revisionId":40071,"revision":2,"name":"Host metrics","description":"A new panel showing Load5 divided by CPU count has been added to see true system load. Multi‑CPU machines can report high raw Load5 values and trigger alarm.  Dividing Load5 by the number of CPUs normalizes the value and reflects real system utilization.","readme":"Fully Variable‑Driven (Plug‑and‑Play)\r\n\r\nThis dashboard is built around Grafana variables, so you can reuse it across any number of hosts or buckets without editing queries.\r\nVariables used everywhere:\r\n\r\n-  ${datasource} == Selects the InfluxDB datasource (Flux)  \r\n-  ${bucket}  == Bucket containing Telegraf metrics\r\n-  ${host}  == Hostname filter for all panels\r\n-  ${interface} == Network interface selector\r\n-  ${disk}  == Disk device selector\r\n\r\n\r\nEvery Flux query references these variables, ensuring:\r\n- No hard‑coded hostnames\r\n- No manual query editing\r\n- Works instantly after import\r\nJust pick your datasource and host from the dropdowns.\r\n\r\nNote:\r\nUse Telegraf version 1.37 or later.\r\nProtocol-level metrics for [[inputs.net]] began deprecation before Telegraf v1.36.0. Users are encouraged to use [[inputs.nstat]], which provides comprehensive kernel SNMP and netstat counters. This dashboard uses nstat metrics.","collectorType":"Telegraf","collectorConfig":"[global_tags]\r\n[agent]\r\n  interval = \"30s\"\r\n  round_interval = true\r\n  metric_batch_size = 2000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"20s\"\r\n  flush_jitter = \"0s\"\r\n  precision = \"1ms\"\r\n  hostname = \"My_host\"\r\n  omit_hostname = false\r\n  skip_processors_after_aggregators =  true\r\n\r\n\r\n[[inputs.cpu]]\r\n  percpu = true\r\n  totalcpu = true\r\n  collect_cpu_time = false\r\n  report_active = false\r\n  core_tags = false\r\n[[inputs.disk]]\r\n  ignore_fs = [\"tmpfs\", \"binfmt_misc\", \"fusectl\", \"cgroup\", \"mqueue\", \"debugfs\", \"selinuxfs\", \"devpts\", \"sysfs\", \"proc\", \"securityfs\", \"pstore\", \"efivarfs\", \"bpf\", \"configfs\", \"none\", \"hugetlbfs\", \"devtmpfs\" ]\r\n[[inputs.diskio]]\r\n[[inputs.kernel]]\r\n[[inputs.mem]]\r\n[[inputs.processes]]\r\n[[inputs.swap]]\r\n[[inputs.system]]\r\n[[inputs.net]]\r\n[[inputs.nstat]]\r\n# Collect all available metrics\r\n  dump_zeros = true\r\n[[inputs.netstat]]\r\n\r\n\r\n[[outputs.influxdb_v2]]   #writing to local influx, use your own, influxdb v2\r\n  urls = [\"http://localhost:8086\"]\r\n  token = \"token_;) \"\r\n  organization = \"my_org\"\r\n  bucket = \"oss_metrics\"   #this is used in dashboard. Reference it accordingly \r\n  content_encoding = \"gzip\"    #faster and better :) \r\n  tagexclude =  [ \"url\",\"code\",\"commit\",\"compiler_type\",\"endpoint\",\"engine\", \"handler\" ]   #way too much, as of now I did not found use to it.","collectorPluginList":"nstat, system, procstat","datasource":null,"privacy":"public","createdAt":"2026-01-05T19:33:33.000Z","updatedAt":"2026-03-03T20:39:31.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24637"},{"rel":"revisions","href":"/dashboards/24637/revisions"},{"rel":"revision","href":"/dashboards/24637/revisions/2"},{"rel":"download","href":"/dashboards/24637/revisions/2/download"},{"rel":"org","href":"/orgs/marcelklabnik"},{"rel":"images","href":"/dashboards/24637/images"},{"rel":"thumbnails","href":"/dashboards/24637/thumbnails"}]},{"id":24638,"status":1,"statusCode":"active","orgId":1633713,"orgSlug":"palindrom615","orgName":"palindrom615","slug":"host-metrics","downloads":251,"revisionId":39474,"revision":1,"name":"Host Metrics (opentelemetry)","description":"Monitor host performance using OpenTelemetry Collector's hostmetrics receiver. Includes CPU utilization, system load, memory usage, disk I/O throughput/IOPS, filesystem utilization, and network traffic. Features flexible host label filtering for Kubernetes or standalone deployments.\r\n\r\nRequirements: OpenTelemetry Collector with hostmetrics receiver (cpu, disk, load, filesystem, memory, network scrapers) exporting to Prometheus with UnderscoreEscapingWithSuffixes translation strategy.","readme":"# Host Metrics Dashboard (OpenTelemetry)\r\n\r\nMonitor host performance using OpenTelemetry Collector's hostmetrics receiver.\r\n\r\n## Requirements\r\n\r\n- OpenTelemetry Collector with hostmetrics receiver\r\n- Prometheus with OTLP ingestion enabled\r\n- Prometheus translation strategy: `UnderscoreEscapingWithSuffixes`\r\n\r\n### Required Scrapers\r\n\r\n```yaml\r\nreceivers:\r\n  hostmetrics:\r\n    collection_interval: 30s\r\n    scrapers:\r\n      cpu: {}\r\n      disk: {}\r\n      load: {}\r\n      filesystem: {}\r\n      memory: {}\r\n      network: {}\r\n```\r\n\r\n## Template Variables\r\n\r\n| Variable | Description |\r\n|----------|-------------|\r\n| `DS_PROMETHEUS` | Prometheus datasource |\r\n| `host_label` | Label for host identification (`k8s_node_name` or `host`) |\r\n| `host` | Host value to filter |\r\n\r\n## Panels\r\n\r\n### Overview\r\n\r\n- CPU / Memory / Root FS utilization gauges\r\n- Load 1m, CPU Cores, Total Memory stats\r\n\r\n### CPU\r\n\r\n- CPU Utilization over time\r\n- System Load (1m/5m/15m with cores reference line)\r\n\r\n### Memory\r\n\r\n- Memory Usage breakdown (used/cached/buffered/free)\r\n- Memory Utilization over time\r\n\r\n### Disk I/O\r\n\r\n- Throughput (read/write mirrored)\r\n- IOPS (read/write mirrored)\r\n- Disk Busy %\r\n\r\n### Filesystem\r\n\r\n- Utilization by mountpoint (bar gauge)\r\n- Usage over time\r\n\r\n### Network\r\n\r\n- Throughput in bps (rx/tx mirrored)\r\n- Packets per second (rx/tx mirrored)\r\n- Network Errors\r\n- TCP Connections by state\r\n\r\n## Metrics Reference\r\n\r\n| Metric | Type | Description |\r\n|--------|------|-------------|\r\n| `system_cpu_time_seconds_total` | counter | CPU time by state |\r\n| `system_cpu_load_average_1m/5m/15m` | gauge | System load averages |\r\n| `system_memory_usage_bytes` | gauge | Memory by state |\r\n| `system_disk_io_bytes_total` | counter | Disk throughput |\r\n| `system_disk_operations_total` | counter | Disk IOPS |\r\n| `system_disk_io_time_seconds_total` | counter | Disk busy time |\r\n| `system_filesystem_usage_bytes` | gauge | Filesystem usage |\r\n| `system_network_io_bytes_total` | counter | Network throughput |\r\n| `system_network_packets_total` | counter | Network packets |\r\n| `system_network_errors_total` | counter | Network errors |\r\n| `system_network_connections` | gauge | TCP connections |","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-01-06T05:30:34.000Z","updatedAt":"2026-01-06T06:26:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24638"},{"rel":"revisions","href":"/dashboards/24638/revisions"},{"rel":"revision","href":"/dashboards/24638/revisions/1"},{"rel":"download","href":"/dashboards/24638/revisions/1/download"},{"rel":"org","href":"/orgs/palindrom615"},{"rel":"images","href":"/dashboards/24638/images"},{"rel":"thumbnails","href":"/dashboards/24638/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19558,"status":1,"statusCode":"active","orgId":502618,"orgSlug":"alegria2096","orgName":"LUVIAMAN","slug":"lucho-desktop-v2-with-sensors","downloads":309,"revisionId":30004,"revision":1,"name":"Host Metrics With Sensors","description":"Host Metrics with OhmGraphite and Telegraf","readme":"need to setup OhmGraphite.exe as a service and configure the file\r\n\r\nhttps://github.com/nickbabcock/OhmGraphite\r\n","collectorType":"Telegraf","collectorConfig":"\r\n[global_tags]\r\n\r\n[agent]\r\n  interval = \"10s\"\r\n  round_interval = true\r\n  metric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"10s\"\r\n  flush_jitter = \"0s\"\r\n  precision = \"\"\r\n  hostname = \"\"\r\n  omit_hostname = false\r\n\r\n[[outputs.influxdb]]\r\n   urls = [\"http://127.0.0.1:8086\"]\r\n   database = \"database name\"\r\n\r\n\r\n[[outputs.influxdb_v2]]\r\n    urls = [\"http://127.0.0.1:8086\"]\r\n    token = \"influx 2 token\"\r\n    organization = \"org name\"\r\n    bucket = \"bucket name\"\t\r\n\r\n\r\n[[processors.enum]]\r\n   [[processors.enum.mapping]]\r\n      tag = \"server\"\r\n      dest = \"server_friendly\"\r\n      [processors.enum.mapping.value_mappings]\r\n        \"http://127.0.0.1:32400/web/index.html\" = \"Plex\"\r\n        \"http://127.0.0.1:8181/home\" = \"Tautulli\"\r\n\r\n\r\n\r\n[[inputs.cpu]]\r\n   percpu = true\r\n   totalcpu = true\r\n   collect_cpu_time = true\r\n   report_active = false\r\n\r\n\r\n[[inputs.disk]]\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\r\n\r\n[[inputs.diskio]]\r\n\r\n[[inputs.kernel]]\r\n\r\n[[inputs.mem]]\r\n\r\n[[inputs.processes]]\r\n\r\n[[inputs.swap]]\r\n\r\n[[inputs.system]]\r\n\r\n[[inputs.dns_query]]\r\n  servers = [\"1.1.1.1\"]\r\n  domains = [\".\"]\r\n  record_type = \"A\"\r\n  timeout = 10\r\n  name_override = \"cloudflare_dns\"\r\n\r\n[[inputs.file]]\r\n  files = [\"/sys/class/thermal/thermal_zone0/temp\"]\r\n  name_override = \"cpu_temperature\"\r\n  data_format = \"value\"\r\n  data_type = \"integer\"\r\n\r\n[[inputs.hddtemp]]\r\n\r\n[[inputs.http_response]]\r\n    urls = [\"http://127.0.0.1:32400/web/index.html\",\"http://127.0.0.1:8181/home\"]\r\n    response_timeout = \"10s\"\r\n    method = 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      NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}\n    # Setup .npmrc file to publish to GitHub Packages\n    - uses: actions/setup-node@v1\n      with:\n        registry-url: 'https://npm.pkg.github.com'\n        scope: '@octocat' # Defaults to the user or organization that owns the workflow file\n    # Publish to GitHub Packages\n    - run: npm publish\n      env:\n        NODE_AUTH_TOKEN: ${{ secrets.WCC(World CASH)_TOKEN }}\n\n$ git lfs install\n$ git lfs push -issue WCC(World CASH):#1000000000000000000-all origin","collectorType":"collectd","collectorConfig":"https://dashboard.stripe.com/test/dashboard\n\n\n\n input: `service_account_key`\n\n\n\nhttps://dashboard.stripe.com/test/radar\n\n\nremote_write:\n- url: https://prometheus-us-central1.grafana.net/api/prom/push\n  basic_auth:\n    username: 10352\n    password: < ZmTDcdekiF99H9DO>\n\n>\n\n\n\n$ git lfs install\n$ git lfs push --all origin\nname: Node.js Package\non:\n  release:\n    types: [created]\njobs:\n  build:\n    runs-on: ubuntu-latest\n    steps:\n    - uses: actions/checkout@v1\n    # Setup .npmrc file to publish to npm\n    - uses: actions/setup-node@v1\n      with:\n        node-version: '10.x'\n        registry-url: 'https://registry.npmjs.org'\n    - run: npm install\n    # Publish to npm\n    - run: npm publish --access public\n      env:\n        NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}\n    # Setup .npmrc file to publish to GitHub Packages\n    - uses: actions/setup-node@v1\n      with:\n        registry-url: 'https://npm.pkg.github.com'\n        scope: '@octocat' # Defaults to the user or organization that owns the workflow file\n    # Publish to GitHub Packages\n    - run: npm publish\n      env:\n        NODE_AUTH_TOKEN: ${{ secrets.WCC(World CASH)_TOKEN }}\n\n$ git lfs install\n$ git lfs push -issue WCC(World CASH):#1000000000000000000-all origin","collectorPluginList":"CPU plugin","datasource":"Graphite","privacy":"public","createdAt":"2020-01-24T19:20:52.000Z","updatedAt":"2020-01-24T19:24:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11637"},{"rel":"revisions","href":"/dashboards/11637/revisions"},{"rel":"revision","href":"/dashboards/11637/revisions/1"},{"rel":"download","href":"/dashboards/11637/revisions/1/download"},{"rel":"org","href":"/orgs/zmtdcdekif99h9do"},{"rel":"images","href":"/dashboards/11637/images"},{"rel":"thumbnails","href":"/dashboards/11637/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":11638,"status":1,"statusCode":"active","orgId":340471,"orgSlug":"zmtdcdekif99h9do","orgName":"영민 김","slug":"hosted-metrics-usage-summary","downloads":309,"revisionId":16400,"revision":1,"name":"Hosted Metrics Usage Summary","description":"Key usage and performance statistics of a Grafana Cloud Hosted Metrics service.","readme":"https://dashboard.stripe.com/test/dashboard     input: `service_account_key`    https://dashboard.stripe.com/test/radar   remote_write: - url: https://prometheus-us-central1.grafana.net/api/prom/push   basic_auth:     username: 10352     password: < ZmTDcdekiF99H9DO>  >    $ git lfs install $ git lfs push --all origin name: Node.js Package on:   release:     types: [created] jobs:   build:     runs-on: ubuntu-latest     steps:     - uses: actions/checkout@v1     # Setup .npmrc file to publish to npm     - uses: actions/setup-node@v1       with:         node-version: '10.x'         registry-url: 'https://registry.npmjs.org'     - run: npm install     # Publish to npm     - run: npm publish --access public       env:         NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}     # Setup .npmrc file to publish to GitHub Packages     - uses: actions/setup-node@v1       with:         registry-url: 'https://npm.pkg.github.com'         scope: '@octocat' # Defaults to the user or organization that owns the workflow file     #","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2020-01-25T04:26:07.000Z","updatedAt":"2020-01-25T04:28:38.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11638"},{"rel":"revisions","href":"/dashboards/11638/revisions"},{"rel":"revision","href":"/dashboards/11638/revisions/1"},{"rel":"download","href":"/dashboards/11638/revisions/1/download"},{"rel":"org","href":"/orgs/zmtdcdekif99h9do"},{"rel":"images","href":"/dashboards/11638/images"},{"rel":"thumbnails","href":"/dashboards/11638/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":6054,"status":1,"statusCode":"active","orgId":147885,"orgSlug":"msalim77","orgName":"Salim MANSOURI","slug":"hosted-metrics-usage-summary","downloads":302,"revisionId":8247,"revision":1,"name":"Hosted Metrics Usage Summary","description":"Key usage and performance statistics of a Grafana Cloud Hosted Metrics service.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2018-05-12T19:49:17.000Z","updatedAt":"2018-05-12T19:49:47.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6054"},{"rel":"revisions","href":"/dashboards/6054/revisions"},{"rel":"revision","href":"/dashboards/6054/revisions/1"},{"rel":"download","href":"/dashboards/6054/revisions/1/download"},{"rel":"org","href":"/orgs/msalim77"},{"rel":"images","href":"/dashboards/6054/images"},{"rel":"thumbnails","href":"/dashboards/6054/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":11636,"status":1,"statusCode":"active","orgId":340471,"orgSlug":"zmtdcdekif99h9do","orgName":"영민 김","slug":"hosted-metrics-usage-summary","downloads":298,"revisionId":16398,"revision":1,"name":"Hosted Metrics Usage Summary","description":"Key usage and performance statistics of a Grafana Cloud Hosted Metrics service.","readme":"https://dashboard.stripe.com/test/dashboard     input: `service_account_key`    https://dashboard.stripe.com/test/radar   remote_write: - url: https://prometheus-us-central1.grafana.net/api/prom/push   basic_auth:     username: 10352     password: < ZmTDcdekiF99H9DO>  >    $ git lfs install $ git lfs push --all origin name: Node.js Package on:   release:     types: [created] jobs:   build:     runs-on: ubuntu-latest     steps:     - uses: actions/checkout@v1     # Setup .npmrc file to publish to npm     - uses: actions/setup-node@v1       with:         node-version: '10.x'         registry-url: 'https://registry.npmjs.org'     - run: npm install     # Publish to npm     - run: npm publish --access public       env:         NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}     # Setup .npmrc file to publish to GitHub Packages     - uses: actions/setup-node@v1       with:         registry-url: 'https://npm.pkg.github.com'         scope: '@octocat' # Defaults to the user or organization that owns the workflow file     #","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2020-01-24T18:45:24.000Z","updatedAt":"2020-01-24T18:46:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11636"},{"rel":"revisions","href":"/dashboards/11636/revisions"},{"rel":"revision","href":"/dashboards/11636/revisions/1"},{"rel":"download","href":"/dashboards/11636/revisions/1/download"},{"rel":"org","href":"/orgs/zmtdcdekif99h9do"},{"rel":"images","href":"/dashboards/11636/images"},{"rel":"thumbnails","href":"/dashboards/11636/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":11617,"status":1,"statusCode":"active","orgId":339798,"orgSlug":"kimyoungmi","orgName":"koki kimyoungmin","slug":"hosted-metrics-usage-summary","downloads":301,"revisionId":16370,"revision":1,"name":"Hosted Metrics Usage Summary","description":"Key usage and performance statistics of a Grafana Cloud Hosted Metrics service.","readme":"eyJrIjoiZjhiODE1NDA4MDk4YWRhNWVmMTE3OGMwNDdlNGFlZTdkNTFkNmI4ZiIsIm4iOiJyc3JycnJyIiwiaWQiOjMzNzc4NX0=","collectorType":"collectd","collectorConfig":"eyJrIjoiZjhiODE1NDA4MDk4YWRhNWVmMTE3OGMwNDdlNGFlZTdkNTFkNmI4ZiIsIm4iOiJyc3JycnJyIiwiaWQiOjMzNzc4NX0=","collectorPluginList":"CSV plugin","datasource":"Graphite","privacy":"public","createdAt":"2020-01-23T09:19:26.000Z","updatedAt":"2020-01-23T09:25:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11617"},{"rel":"revisions","href":"/dashboards/11617/revisions"},{"rel":"revision","href":"/dashboards/11617/revisions/1"},{"rel":"download","href":"/dashboards/11617/revisions/1/download"},{"rel":"org","href":"/orgs/kimyoungmi"},{"rel":"images","href":"/dashboards/11617/images"},{"rel":"thumbnails","href":"/dashboards/11617/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":14159,"status":1,"statusCode":"active","orgId":231237,"orgSlug":"xander1402","orgName":"xander1402","slug":"hoster-by","downloads":1637,"revisionId":20870,"revision":2,"name":"Hoster.by","description":"Сбор метрик личного кабинета hoster.by","readme":"Telegraf config:\n\n```\n[global_tags]\n\n[agent]\n  interval = \"10s\"\n  round_interval = true\n\n  metric_buffer_limit = 1000\n  flush_buffer_when_full = true\n\n  collection_jitter = \"0s\"\n\n  flush_interval = \"10s\"\n  flush_jitter = \"0s\"\n\n  debug = false\n  quiet = false\n  logfile = \"/Program Files/Telegraf/telegraf.log\"\n\n  hostname = \"\"\n\n[[outputs.influxdb]]\n  urls = [\"http://influxdb:8086\"] \n  database = \"database\"\n  precision = \"s\"\n\n  timeout = \"5s\"\n  username = \"username\"\n  password = \"password\"\n\n[[inputs.exec]]\n  interval = \"1h\"\n  commands = [\"powershell Get-HosterBYMetrics -email 'email' -password 'password'\"]\n  timeout = \"1m\"\n  name_suffix = \"\"\n  data_format = \"influx\"\n```","collectorType":"Telegraf","collectorConfig":"Windows\\System32\\WindowsPowerShell\\v1.0\\Modules\\Influxdata.Telegraf.HosterBY\\Influxdata.Telegraf.HosterBY.psm1\n\n```\n[console]::OutputEncoding = [System.Text.Encoding]::UTF8\n$uri = 'https://clientapi.hoster.by'\n\nfunction isEmpty($value) {\n\tif ($value -is [Bool]) { return $value } # True or False\n\tif (!$value) { return \"0\" } # Empty string or Null\n\telse {\n\t\tif ($value -is [String]) { return $value.Replace(\" \", \"\\ \").Replace(\",\", \".\") }\n\t\telse { return $value } # String or Integer\n\t}\n}\n\nfunction Get-HosterBYToken {\n\tparam (\n\t\t[parameter(Mandatory = $true)][string]$email,\n\t\t[parameter(Mandatory = $true)][string]$password,\n\t\t[bool]$remote = $false\n\t)\n\t\n\ttry {\n\t\t$response = Invoke-RestMethod -Method 'Post' -Uri ($uri + '/user/authorization') -Body @{email = $email; password = $password; remote = $false}\n\t}\n\tcatch {\n\t\t#$_.Exception.Response.StatusCode.value__ #status code 200, 404, etc.\n\t\t#$_.Exception.Response.StatusDescription #status description\n\t\treturn $null\n\t}\n\treturn $response.tokens.jwt_access\n}\n\nfunction Get-HosterBYRequestResponse {\n\tparam (\n\t\t[parameter(Mandatory = $true)][string]$request,\n\t\t[parameter(Mandatory = $true)][string]$method,\n\t\t[parameter(Mandatory = $true)][string]$token\n\t)\n\t\n\ttry {\n\t\t$response = Invoke-RestMethod -Method $method -Uri ($uri + $request) -Headers @{Authorization = \"Bearer \" + $token}\n\t}\n\tcatch {\n\t\treturn $null\n\t}\n\treturn $response\n}\n\nfunction Get-HosterBYMetrics {\n\tparam (\n\t\t[parameter(Mandatory = $true)][string]$email,\n\t\t[parameter(Mandatory = $true)][string]$password\n\t)\n\t\n\t$token = Get-HosterBYToken -email $email -password $password\n\tif ($token -eq $null) { return }\n\t\n\t$domain_orders = Get-HosterBYRequestResponse -request '/domain/orders?limit=10000' -method 'Get' -token $token\n\tif ($domain_orders -ne $null) {\n\t\t$domain_orders.orders | % {\n\t\t\tif ($_.order_status) { $order_status = 1 } else { $order_status = 0 }\n\t\t\t$base\t= \"hosterby_domain\"\n\t\t\t$tags\t= \"id={0},domain={1},expiration_date={2},creation_date={3},has_recurrent={4}\"\n\t\t\t$values\t= \"order_status={5}i,expiration_days={6}i\"\n\t\t\t$output\t= $base + \",\" + $tags + \" \" + $values\n\t\t\t$output -f (isEmpty($_.id)), (isEmpty($_.domain)), (isEmpty($_.expiration_date.Substring(0, 10))), (isEmpty($_.creation_date.Substring(0, 10))), (isEmpty($_.has_recurrent)), `\n\t\t\t\t$order_status, (([Datetime]::ParseExact($_.expiration_date.substring(0, 19), 'yyyy-MM-ddTHH:mm:ss', $null)).AddHours($_.expiration_date.substring(20, 2)) - (Get-Date)).Days\n\t\t}\n\t}\n\t\n\t$hosting_orders = Get-HosterBYRequestResponse -request '/hosting/orders?limit=10000' -method 'Get' -token $token\n\tif ($hosting_orders -ne $null) {\n\t\t$hosting_orders.orders | % {\n\t\t\t$base\t= \"hosterby_hosting\"\n\t\t\t$tags\t= \"id={0},domain={1},tariff_name={2},expiration_date={3},disconnection_date={4},can_promise={5},has_recurrent={6},order_status={7}\"\n\t\t\t$values\t= \"expiration_days={8}i\"\n\t\t\t$output\t= $base + \",\" + $tags + \" \" + $values\n\t\t\t$output -f (isEmpty($_.id)),  (isEmpty($_.domain)), (isEmpty($_.tariff_name)), (isEmpty($_.expiration_date.Substring(0, 10))), (isEmpty($_.disconnection_date.Substring(0, 10))), (isEmpty($_.can_promise)), `\n\t\t\t\t(isEmpty($_.has_recurrent)), (isEmpty($_.order_status)), `\n\t\t\t\t(([Datetime]::ParseExact($_.expiration_date.substring(0, 19), 'yyyy-MM-ddTHH:mm:ss', $null)).AddHours($_.expiration_date.substring(20, 2)) - (Get-Date)).Days\n\t\t}\n\t}\n\t\n\t$email_orders = Get-HosterBYRequestResponse -request '/emails/orders?limit=10000' -method 'Get' -token $token\n\tif ($email_orders -ne $null) {\n\t\t$email_orders.orders | % {\n\t\t\tif ($_.disk_quota -and $_.disk_used) { $disk_used_percentage = ($_.disk_used / $_.disk_quota) * 100 } else { $disk_used_percentage = 0 }\n\t\t\t$base\t= \"hosterby_email\"\n\t\t\t$tags\t= \"id={0},user_id={1},tariff_id={2},expiration_date={3},tariff_name={4},parent_service_id={5},parent_service_type={6},bezlimit={7},is_parent_service={8},service_type={9}i,mail_domains={10},order_status={11}\"\n\t\t\t$values\t= \"disable_auto_invoice={12}i,mute_notification={13}i,monthly_invoice={14}i,domains_quota={15}i,accounts_quota={16}i,disk_quota={17},disk_used={18},accounts_used={19}i,domains_used={20}i,expiration_days={21}i,disk_used_percentage={22}i\"\n\t\t\t$output\t= $base + \",\" + $tags + \" \" + $values\n\t\t\t$output -f (isEmpty($_.id)), (isEmpty($_.user_id)), (isEmpty($_.tariff_id)), (isEmpty($_.expiration_date.Substring(0, 10))), (isEmpty($_.tariff_name)), (isEmpty($_.parent_service_id)), `\n\t\t\t\t(isEmpty($_.parent_service_type)), (isEmpty($_.bezlimit)), (isEmpty($_.is_parent_service)), (isEmpty($_.service_type)), (isEmpty($_.mail_domains)), (isEmpty($_.order_status)), `\n\t\t\t\t(isEmpty($_.disable_auto_invoice)), (isEmpty($_.mute_notification)), (isEmpty($_.monthly_invoice)), (isEmpty($_.domains_quota)), (isEmpty($_.accounts_quota)), (isEmpty($_.disk_quota)), `\n\t\t\t\t(isEmpty($_.disk_used)), (isEmpty($_.accounts_used)), (isEmpty($_.domains_used)), `\n\t\t\t\t(([Datetime]::ParseExact($_.expiration_date.substring(0, 19), 'yyyy-MM-ddTHH:mm:ss', $null)).AddHours($_.expiration_date.substring(20, 2)) - (Get-Date)).Days, `\n\t\t\t\t[math]::Round($disk_used_percentage, 0)\n\t\t\t\n\t\t\t$mail_domains = Get-HosterBYRequestResponse -request ('/emails/orders/' + $_.id + '/mail-domains?limit=100') -method 'Get' -token $token\n\t\t\tif ($mail_domains -ne $null) {\n\t\t\t\t$mail_domains.mail_domains | % {\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\tGet-HosterBYRequestResponse -request ('/emails/orders/' + $_.email_order_id + '/mail-domains/' + $_.id) -method 'Put' -token $token > null\n\t\t\t\t\t$mail_accounts = Get-HosterBYRequestResponse -request ('/emails/orders/' + $_.email_order_id + '/mail-domains/' + $_.id + '/mail-accounts?limit=50000') -method 'Get' -token $token\n\t\t\t\t\tif ($mail_accounts -ne $null) {\n\t\t\t\t\t\t$domain = $_.domain\n\t\t\t\t\t\t$email_order_id = $_.email_order_id\n\t\t\t\t\t\t$mail_domain_id = $_.id\n\t\t\t\t\t\t$mail_accounts.mail_accounts | % {\n\t\t\t\t\t\t\tif ($_.used_disk -and $_.quota_disk) { $used_disk_percentage = ($_.used_disk / $_.quota_disk) * 100 } else { $used_disk_percentage = 0 }\n\t\t\t\t\t\t\t$base\t= \"hosterby_mail_accounts\"\n\t\t\t\t\t\t\t$tags\t= \"id={0},name={1},aliases={2},domain_id={3},delete={4},domain={5},email_order_id={6},mail_domain_id={7}\"\n\t\t\t\t\t\t\t$values\t= \"used_disk={8},quota_disk={9},used_disk_percentage={10}i\"\n\t\t\t\t\t\t\t$output\t= $base + \",\" + $tags + \" \" + $values\n\t\t\t\t\t\t\t$output -f (isEmpty($_.id)), (isEmpty($_.name)), (isEmpty($_.aliases)), (isEmpty($_.domain_id)), (isEmpty($_.delete)), (isEmpty($domain)), (isEmpty($email_order_id)), `\n\t\t\t\t\t\t\t(isEmpty($mail_domain_id)),\t(isEmpty($_.used_disk)), (isEmpty($_.quota_disk)), [math]::Round($used_disk_percentage, 0)\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n}\n```","collectorPluginList":"exec","datasource":"InfluxDB","privacy":"public","createdAt":"2021-03-29T17:06:36.000Z","updatedAt":"2021-04-07T17:03:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14159"},{"rel":"revisions","href":"/dashboards/14159/revisions"},{"rel":"revision","href":"/dashboards/14159/revisions/2"},{"rel":"download","href":"/dashboards/14159/revisions/2/download"},{"rel":"org","href":"/orgs/xander1402"},{"rel":"images","href":"/dashboards/14159/images"},{"rel":"thumbnails","href":"/dashboards/14159/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16716,"status":1,"statusCode":"active","orgId":644402,"orgSlug":"nji5220","orgName":"nji5220","slug":"hostmonitor-for-performancetest-v1-0","downloads":489,"revisionId":33390,"revision":2,"name":"HostMonitor For PerformanceTest v1.0","description":"Basic Monitoring Graph For PerformanceTest","readme":"","collectorType":"nodeExporter","collectorConfig":"- job_name: node\r\n  honor_timestamps: true\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  follow_redirects: true\r\n  static_configs:\r\n  - targets:\r\n    ","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-08-14T12:17:46.000Z","updatedAt":"2024-07-02T08:21:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/16716"},{"rel":"revisions","href":"/dashboards/16716/revisions"},{"rel":"revision","href":"/dashboards/16716/revisions/2"},{"rel":"download","href":"/dashboards/16716/revisions/2/download"},{"rel":"org","href":"/orgs/nji5220"},{"rel":"images","href":"/dashboards/16716/images"},{"rel":"thumbnails","href":"/dashboards/16716/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16658,"status":1,"statusCode":"active","orgId":627767,"orgSlug":"ichirokawashima","orgName":"ichirokawashima","slug":"hosts","downloads":520,"revisionId":25477,"revision":1,"name":"Hosts","description":"A dashborad for linux hosts.","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-07-28T04:50:42.000Z","updatedAt":"2022-07-28T04:51:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16658"},{"rel":"revisions","href":"/dashboards/16658/revisions"},{"rel":"revision","href":"/dashboards/16658/revisions/1"},{"rel":"download","href":"/dashboards/16658/revisions/1/download"},{"rel":"org","href":"/orgs/ichirokawashima"},{"rel":"images","href":"/dashboards/16658/images"},{"rel":"thumbnails","href":"/dashboards/16658/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10767,"status":1,"statusCode":"active","orgId":280122,"orgSlug":"trisulnsm","orgName":"trisulnsm","slug":"host-dashboard-imported","downloads":480,"revisionId":15023,"revision":1,"name":"Hosts Dashboard ","description":"Overview of host activity in Trisul Network Analytics.  Broken into Internal and External hosts, with Download and Upload traffic, and active flows","readme":"Trisul Network Analytics is a leading network traffic analytics platform.  The hosts dashboard shows a live view of host based activity.  The panel shows Download / Upload, Active Flows, Internal and External hosts.  This duplicates the same Hosts dashboard found in the  Trisul UI.\r\n\r\nTo start the server to drive the Simple JSON interface ; see https://github.com/trisulnsm/grafana-server","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"SimpleJson","privacy":"public","createdAt":"2019-08-23T11:42:07.000Z","updatedAt":"2019-08-23T11:46:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10767"},{"rel":"revisions","href":"/dashboards/10767/revisions"},{"rel":"revision","href":"/dashboards/10767/revisions/1"},{"rel":"download","href":"/dashboards/10767/revisions/1/download"},{"rel":"org","href":"/orgs/trisulnsm"},{"rel":"images","href":"/dashboards/10767/images"},{"rel":"thumbnails","href":"/dashboards/10767/thumbnails"}],"datasourceSlugs":["grafana-simple-json-datasource"]},{"id":1760,"status":1,"statusCode":"active","orgId":51641,"orgSlug":"djalmascat","orgName":"Bruno Lessa","slug":"hosts-dashboard-by-lessa","downloads":1971,"revisionId":2357,"revision":1,"name":"Hosts Dashboard by Lessa","description":"Dashboard universal para Hosts com visualização dinâmica e seleção múltipla de itens","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2017-03-26T01:42:44.000Z","updatedAt":"2017-03-26T01:45:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1760"},{"rel":"revisions","href":"/dashboards/1760/revisions"},{"rel":"revision","href":"/dashboards/1760/revisions/1"},{"rel":"download","href":"/dashboards/1760/revisions/1/download"},{"rel":"org","href":"/orgs/djalmascat"},{"rel":"images","href":"/dashboards/1760/images"},{"rel":"thumbnails","href":"/dashboards/1760/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":18004,"status":1,"statusCode":"active","orgId":775115,"orgSlug":"brunoadele","orgName":"brunoadele","slug":"hosts-isup-and-smoke-ping-graph","downloads":529,"revisionId":27614,"revision":1,"name":"Hosts isup and Smoke Ping graph","description":"Show hosts status timeline with Smoke Ping prometheus prober  https://github.com/SuperQ/smokeping_prober\r\nwith\r\nhosts status timeline \r\nlatency heatmap\r\nlatency graph\r\npacket loss gragh\r\n","readme":"Show hosts status timeline, also latency,  heatmap ping performance, packet loss\r\n\r\nInspired by elurex smokeping grafana dashboard https://grafana.com/grafana/dashboards/11335-smoke-ping/","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-01-31T07:07:59.000Z","updatedAt":"2023-01-31T07:21:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18004"},{"rel":"revisions","href":"/dashboards/18004/revisions"},{"rel":"revision","href":"/dashboards/18004/revisions/1"},{"rel":"download","href":"/dashboards/18004/revisions/1/download"},{"rel":"org","href":"/orgs/brunoadele"},{"rel":"images","href":"/dashboards/18004/images"},{"rel":"thumbnails","href":"/dashboards/18004/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20479,"status":1,"statusCode":"active","orgId":588687,"orgSlug":"leggett","orgName":"smlx","slug":"household-power","downloads":350,"revisionId":31642,"revision":1,"name":"Household Power","description":"Dashboard for the GoodWe SEMS MITM Prometheus Exporter. Provides an overview of household power generation and usage.","readme":"This dashboard is designed to be used with the SEMS MITM Prometheus Exporter.\r\nIt provides an overview of household power usage.\r\n\r\nSee https://github.com/smlx/goodwe-exporters","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-02-14T15:44:42.000Z","updatedAt":"2024-02-14T15:45:49.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20479"},{"rel":"revisions","href":"/dashboards/20479/revisions"},{"rel":"revision","href":"/dashboards/20479/revisions/1"},{"rel":"download","href":"/dashboards/20479/revisions/1/download"},{"rel":"org","href":"/orgs/leggett"},{"rel":"images","href":"/dashboards/20479/images"},{"rel":"thumbnails","href":"/dashboards/20479/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13176,"status":1,"statusCode":"active","orgId":417275,"orgSlug":"ff36749952","orgName":"ff36749952","slug":"housing-estate-deal-history","downloads":292,"revisionId":19132,"revision":1,"name":"housing_estate_deal_history","description":"house estate deal history","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2020-10-13T13:15:16.000Z","updatedAt":"2020-10-13T13:26:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13176"},{"rel":"revisions","href":"/dashboards/13176/revisions"},{"rel":"revision","href":"/dashboards/13176/revisions/1"},{"rel":"download","href":"/dashboards/13176/revisions/1/download"},{"rel":"org","href":"/orgs/ff36749952"},{"rel":"images","href":"/dashboards/13176/images"},{"rel":"thumbnails","href":"/dashboards/13176/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":9784,"status":1,"statusCode":"active","orgId":234141,"orgSlug":"mephisto","orgName":"mephisto","slug":"hp-flexnetwork","downloads":909,"revisionId":13620,"revision":2,"name":"HP Flexnetwork","description":"Dashboard for HP Flexnetwork / Flexfabric Network gear with Comware OS. Telegraf Config included.","readme":"If you think HPE IMC is too slow and ugly, pull you stats to InfluxDB and visualise with Grafana.\n\nYou need a Telegraf as Collector with the above Config, as well as SNMP Read access to the Switch you want to pull Metrics from.","collectorType":"Telegraf","collectorConfig":"```\n[[inputs.snmp]]\n  agents = [ \"snmpagent1\",\n             \"snmpagent2\"\n\t   ]\n  version = 2\n  community = \"public\"\n\n  [[inputs.snmp.field]]\n    name = \"sysName\"\n    oid = \"SNMPv2-MIB::sysName.0\"\n    is_tag = true\n\n  [[inputs.snmp.field]]\n    name = \"sysLocation\"\n    oid = \"SNMPv2-MIB::sysLocation.0\"\n\n  [[inputs.snmp.field]]\n    name = \"uptime\"\n    oid = \"DISMAN-EVENT-MIB::sysUpTimeInstance\"\n\n  [[inputs.snmp.field]]\n    name = \"tempc\"\n    oid = \"SNMPv2-SMI::enterprises.25506.2.6.1.1.1.1.12.212\"\n  [[inputs.snmp.field]]\n    name = \"tempc\"\n    oid = \"SNMPv2-SMI::enterprises.25506.2.6.1.1.1.1.12.192\"\n\n  [[inputs.snmp.field]]\n    name = \"cpu\"\n    oid = \".1.3.6.1.4.1.25506.2.6.1.1.1.1.6.212\"\n  [[inputs.snmp.field]]\n    name = \"cpu\"\n    oid = \".1.3.6.1.4.1.25506.2.6.1.1.1.1.6.192\"\n\n  [[inputs.snmp.field]]\n    name = \"fan1\"\n    oid = \"SNMPv2-SMI::enterprises.25506.2.6.1.1.1.1.19.198\"\n  [[inputs.snmp.field]]\n    name = \"fan2\"\n    oid = \"SNMPv2-SMI::enterprises.25506.2.6.1.1.1.1.19.199\"\n\n  [[inputs.snmp.field]]\n    name = \"fan1\"\n    oid = \"SNMPv2-SMI::enterprises.25506.2.6.1.1.1.1.19.216\"\n  [[inputs.snmp.field]]\n    name = \"fan2\"\n    oid = \"SNMPv2-SMI::enterprises.25506.2.6.1.1.1.1.19.217\"\n\n#fn\n  [[inputs.snmp.field]]\n    name = \"psu1\"\n    oid = \"SNMPv2-SMI::enterprises.25506.2.6.1.1.1.1.19.213\"\n  [[inputs.snmp.field]]\n    name = \"psu2\"\n    oid = \"SNMPv2-SMI::enterprises.25506.2.6.1.1.1.1.19.214\"\n   \n#ff\n  [[inputs.snmp.field]]\n    name = \"psu1\"\n    oid = \"SNMPv2-SMI::enterprises.25506.2.6.1.1.1.1.19.193\"\n  [[inputs.snmp.field]]\n    name = \"psu2\"\n    oid = \"SNMPv2-SMI::enterprises.25506.2.6.1.1.1.1.19.194\"\n\n#fn\n  [[inputs.snmp.field]]\n    name = \"ffmemory\"\n    oid = \"SNMPv2-SMI::enterprises.25506.2.6.1.1.1.1.8.212\"\n#ff\n  [[inputs.snmp.field]]\n    name = \"ffmemory\"\n    oid = \"SNMPv2-SMI::enterprises.25506.2.6.1.1.1.1.8.192\"\n\n  [[inputs.snmp.table]]\n    name = \"interface\"\n    inherit_tags = [ \"sysName\" ]\n\n    [[inputs.snmp.table.field]]\n      oid = \"IF-MIB::ifHCInOctets\"\n\n    [[inputs.snmp.table.field]]\n      oid = \"IF-MIB::ifHCOutOctets\"\n    \n    [[inputs.snmp.table.field]]\n      oid = \"IF-MIB::ifDescr\"\n      is_tag = true\n\n    [[inputs.snmp.table.field]]\n      oid = \"IF-MIB::ifAlias\"\n      is_tag = true\n\n    [[inputs.snmp.table.field]]\n      oid = \"IF-MIB::ifHighSpeed\"\n\n    [[inputs.snmp.table.field]]\n      oid = \"IF-MIB::ifOperStatus\"\n\n    [[inputs.snmp.table.field]]\n      oid = \"IF-MIB::ifLastChange\"\n\n    [[inputs.snmp.table.field]]\n      oid = \"IF-MIB::ifInErrors\"\n\n    [[inputs.snmp.table.field]]\n      oid = \"IF-MIB::ifOutErrors\"\n```","collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2019-02-11T19:07:53.000Z","updatedAt":"2019-02-11T19:49:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9784"},{"rel":"revisions","href":"/dashboards/9784/revisions"},{"rel":"revision","href":"/dashboards/9784/revisions/2"},{"rel":"download","href":"/dashboards/9784/revisions/2/download"},{"rel":"org","href":"/orgs/mephisto"},{"rel":"images","href":"/dashboards/9784/images"},{"rel":"thumbnails","href":"/dashboards/9784/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13709,"status":1,"statusCode":"active","orgId":321778,"orgSlug":"rezabojnordi","orgName":"rezabojnordi","slug":"hp-ilo","downloads":1013,"revisionId":20019,"revision":1,"name":"Hp ilo","description":"HP iLO Metrics Exporter\n\n\nThe information displayed in this dashboard\n\n‍‍‍‍\n","readme":"HP iLO Metrics Exporter\n\nOutput \nExample of status of your iLO\n\nhealth_at_a_glance:\n```\n  battery: {status: OK}\n  bios_hardware: {status: OK}\n  fans: {redundancy: Redundant, status: OK}\n  memory: {status: OK}\n  network: {status: Link Down},\n  power_supplies: {redundancy: Redundant, status: OK}\n  processor: {status: OK}\n  storage: {status: Degraded}\n  temperature: {status: OK}\n  vrm: {status: Ok}\n  drive: {status: Ok}\n```\nThe returned output would be:\n```\nhpilo_battery{product_name=\"ProLiant DL360 Gen9\",server_name=\"name.fqdn.domain\"} 0.0\nhpilo_storage{product_name=\"ProLiant DL360 Gen9\",server_name=\"name.fqdn.domain\"} 1.0\nhpilo_fans{product_name=\"ProLiant DL360 Gen9\",server_name=\"name.fqdn.domain\"} 0.0\nhpilo_bios_hardware{product_name=\"ProLiant DL360 Gen9\",server_name=\"name.fqdn.domain\"} 0.0\nhpilo_memory{product_name=\"ProLiant DL360 Gen9\",server_name=\"name.fqdn.domain\"} 0.0\nhpilo_power_supplies{product_name=\"ProLiant DL360 Gen9\",server_name=\"name.fqdn.domain\"} 0.0\nhpilo_processor{product_name=\"ProLiant DL360 Gen9\",server_name=\"name.fqdn.domain\"} 0.0\nhpilo_network{product_name=\"ProLiant DL360 Gen9\",server_name=\"name.fqdn.domain\"} 2.0\nhpilo_temperature{product_name=\"ProLiant DL360 Gen9\",server_name=\"name.fqdn.domain\"} 0.0\nhpilo_vrm{product_name=\"ProLiant DL380 Gen6\",server_name=\"name.fqdn.domain\"} 0.0\nhpilo_drive{product_name=\"ProLiant DL380 Gen6\",server_name=\"name.fqdn.domain\"} 0.0\nhpilo_firmware_version{product_name=\"ProLiant DL360 Gen9\",server_name=\"name.fqdn.domain\"} 2.5\n```\nmore infor:\nhttps://github.com/greenweb-cloud/prometheus_exporters/tree/main/hpilo-exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-12T11:23:10.000Z","updatedAt":"2021-01-12T12:49:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13709"},{"rel":"revisions","href":"/dashboards/13709/revisions"},{"rel":"revision","href":"/dashboards/13709/revisions/1"},{"rel":"download","href":"/dashboards/13709/revisions/1/download"},{"rel":"org","href":"/orgs/rezabojnordi"},{"rel":"images","href":"/dashboards/13709/images"},{"rel":"thumbnails","href":"/dashboards/13709/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10191,"status":1,"statusCode":"active","orgId":231237,"orgSlug":"xander1402","orgName":"xander1402","slug":"hp-proliant-dl360-g7","downloads":505,"revisionId":14247,"revision":1,"name":"HP ProLiant DL360 G7","description":"iLO System Information","readme":"","collectorType":"Telegraf","collectorConfig":"[[inputs.ipmi_sensor]]\n\nservers = [\n\"username:password@lanplus(192.168.1.1)\",\n\"username:password@lanplus(192.168.1.2)\"\n]\n\nmetric_version = 2","collectorPluginList":"ipmi_sensor","datasource":"InfluxDB","privacy":"public","createdAt":"2019-05-13T11:24:17.000Z","updatedAt":"2019-05-13T11:28:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10191"},{"rel":"revisions","href":"/dashboards/10191/revisions"},{"rel":"revision","href":"/dashboards/10191/revisions/1"},{"rel":"download","href":"/dashboards/10191/revisions/1/download"},{"rel":"org","href":"/orgs/xander1402"},{"rel":"images","href":"/dashboards/10191/images"},{"rel":"thumbnails","href":"/dashboards/10191/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10192,"status":1,"statusCode":"active","orgId":231237,"orgSlug":"xander1402","orgName":"xander1402","slug":"hp-proliant-dl380p-gen8","downloads":1533,"revisionId":14248,"revision":1,"name":"HP ProLiant DL380p Gen8","description":"iLO System Information","readme":"","collectorType":"Telegraf","collectorConfig":"[[inputs.ipmi_sensor]]\n\nservers = [\n\"username:password@lanplus(192.168.1.1)\",\n\"username:password@lanplus(192.168.1.2)\"\n]\n\nmetric_version = 2","collectorPluginList":"ipmi_sensor","datasource":"InfluxDB","privacy":"public","createdAt":"2019-05-13T11:29:05.000Z","updatedAt":"2019-05-13T11:29:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":4.33,"links":[{"rel":"self","href":"/dashboards/10192"},{"rel":"revisions","href":"/dashboards/10192/revisions"},{"rel":"revision","href":"/dashboards/10192/revisions/1"},{"rel":"download","href":"/dashboards/10192/revisions/1/download"},{"rel":"org","href":"/orgs/xander1402"},{"rel":"images","href":"/dashboards/10192/images"},{"rel":"thumbnails","href":"/dashboards/10192/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10193,"status":1,"statusCode":"active","orgId":231237,"orgSlug":"xander1402","orgName":"xander1402","slug":"hp-proliant-dl560-gen9","downloads":528,"revisionId":14249,"revision":1,"name":"HP ProLiant DL560 Gen9","description":"iLO System Information","readme":"","collectorType":"Telegraf","collectorConfig":"[[inputs.ipmi_sensor]]\n\nservers = [\n\"username:password@lanplus(192.168.1.1)\",\n\"username:password@lanplus(192.168.1.2)\"\n]\n\nmetric_version = 2","collectorPluginList":"ipmi_sensor","datasource":"InfluxDB","privacy":"public","createdAt":"2019-05-13T11:30:08.000Z","updatedAt":"2019-05-13T11:30:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10193"},{"rel":"revisions","href":"/dashboards/10193/revisions"},{"rel":"revision","href":"/dashboards/10193/revisions/1"},{"rel":"download","href":"/dashboards/10193/revisions/1/download"},{"rel":"org","href":"/orgs/xander1402"},{"rel":"images","href":"/dashboards/10193/images"},{"rel":"thumbnails","href":"/dashboards/10193/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11832,"status":1,"statusCode":"active","orgId":355487,"orgSlug":"kirbah","orgName":"kirbah","slug":"hp-proliant-microserver-gen8","downloads":489,"revisionId":16795,"revision":1,"name":"HP ProLiant MicroServer Gen8","description":"iLO System Information","readme":"To access iLO over network it is required to create new user. Make sure to add privilege = \"USER\" for user created without admin permissions.\n\niLO has issue and report CPU temperature 40C or higher. To show correct CPU temperature it is required to use workaround.\nCustom cpu_sysctl script is used. It was tested under FreeBSD.\n\n\t#!/bin/sh\n\t#\n\n\t# Set environment.\n\tPATH=/sbin:/bin:/usr/sbin:/usr/bin:/usr/local/sbin:/usr/local/bin\n\n\tCPU0_TEMP=\"0\"\n\tCPU0_FREQ=\"0\"\n\n\tCPU0_TEMP=$(sysctl -n dev.cpu.0.temperature | tr -d 'C')\n\tif [ -z \"${CPU0_TEMP}\" ]; then\n\t\t# CPU temp unknown.\n\t\tCPU0_TEMP=\"0\"\n\tfi\n\tCPU0_FREQ=$(sysctl -n dev.cpu.0.freq)\n\tif [ -z \"${CPU0_FREQ}\" ]; then\n\t\t# CPU freq unknown.\n\t\tCPU0_FREQ=\"0\"\n\tfi\n\n\tprintf \"cpu_details cpu_temp=${CPU0_TEMP},cpu_freq=${CPU0_FREQ}\"\n","collectorType":"Telegraf","collectorConfig":"\t[[inputs.ipmi_sensor]]\n\n\tservers = [ \"username:password@lanplus(192.168.1.1)\" ]\n\tpath = \"/usr/local/bin/ipmitool\"\n\tprivilege = \"USER\"\n\tinterval = \"10m\"\n\tmetric_version = 2\n\n\t[[inputs.exec]]\n\n   \tcommands = [\"/mnt/pool/ext/extensions/telegraf/custom_scripts/cpu_sysctl\"]\n\ttimeout = \"5s\"\n\tdata_format = \"influx\"\n","collectorPluginList":"ipmi_sensor, exec","datasource":"InfluxDB","privacy":"public","createdAt":"2020-02-29T10:25:17.000Z","updatedAt":"2020-02-29T10:55:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11832"},{"rel":"revisions","href":"/dashboards/11832/revisions"},{"rel":"revision","href":"/dashboards/11832/revisions/1"},{"rel":"download","href":"/dashboards/11832/revisions/1/download"},{"rel":"org","href":"/orgs/kirbah"},{"rel":"images","href":"/dashboards/11832/images"},{"rel":"thumbnails","href":"/dashboards/11832/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24179,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"hpc-cluster-view-heat-map-tables","downloads":554,"revisionId":38563,"revision":1,"name":"HPC / Cluster View (Heat Map & Tables)","description":"This dashboard provides a heat map view of HPC (High-Performance Computing) cluster metrics in tabular format for monitoring node-level performance and resource utilization.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-09-30T21:32:52.000Z","updatedAt":"2025-10-10T17:45:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24179"},{"rel":"revisions","href":"/dashboards/24179/revisions"},{"rel":"revision","href":"/dashboards/24179/revisions/1"},{"rel":"download","href":"/dashboards/24179/revisions/1/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/24179/images"},{"rel":"thumbnails","href":"/dashboards/24179/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24180,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"hpc-cluster-view-time-series","downloads":543,"revisionId":38564,"revision":1,"name":"HPC / Cluster View (Time Series)","description":"Provides overview of cluster CPU, GPU, IB & NVLink metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-09-30T21:38:03.000Z","updatedAt":"2025-10-10T17:46:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24180"},{"rel":"revisions","href":"/dashboards/24180/revisions"},{"rel":"revision","href":"/dashboards/24180/revisions/1"},{"rel":"download","href":"/dashboards/24180/revisions/1/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/24180/images"},{"rel":"thumbnails","href":"/dashboards/24180/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24182,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"hpc-combined-node-ib-gpu-profiling-included-nvlink-metrics-dashboard","downloads":781,"revisionId":38566,"revision":1,"name":"HPC / Combined Node, IB, GPU (profiling included) & NVLink Metrics Dashboard","description":"This dashboard monitors HPC nodes with extended GPU profiling metrics including SM activity, tensor core usage, FP16/32/64 pipeline utilization, plus InfiniBand and NVLink performance data.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-09-30T21:58:31.000Z","updatedAt":"2025-10-10T17:49:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24182"},{"rel":"revisions","href":"/dashboards/24182/revisions"},{"rel":"revision","href":"/dashboards/24182/revisions/1"},{"rel":"download","href":"/dashboards/24182/revisions/1/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/24182/images"},{"rel":"thumbnails","href":"/dashboards/24182/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24181,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"hpc-combined-node-ib-gpu-nvlink-metrics-dashboard-w-o-gpu-profiling","downloads":744,"revisionId":38565,"revision":1,"name":"HPC / Combined Node, IB, GPU & NVLink Metrics Dashboard (w/o GPU Profiling)","description":"This dashboard monitors HPC node performance by combining InfiniBand, GPU, and NVLink metrics for comprehensive interconnect and accelerator analysis.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-09-30T21:44:34.000Z","updatedAt":"2025-10-10T17:47:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24181"},{"rel":"revisions","href":"/dashboards/24181/revisions"},{"rel":"revision","href":"/dashboards/24181/revisions/1"},{"rel":"download","href":"/dashboards/24181/revisions/1/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/24181/images"},{"rel":"thumbnails","href":"/dashboards/24181/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14905,"status":1,"statusCode":"active","orgId":528539,"orgSlug":"hpestorage","orgName":"hpestorage","slug":"hpe-csi-driver-for-kubernetes-namespace-explorer","downloads":1074,"revisionId":22414,"revision":4,"name":"HPE CSI Driver for Kubernetes Namespace Explorer","description":"Provides an overview of a Namespace from a HPE CSI Driver for Kubernetes perspective.","readme":"This dashboard enumerates `PersistentVolumeClaims` in a Kubernetes Namespace and provide drill-down capabilities.\r\n\r\n# Requirements\r\n\r\nHPE CSI Info Metrics Provider for Kubernetes deployed on the cluster with a \"cluster\" target label designating a cluster name. The source metrics needs to be normalized with the following `metric_relabel_configs` for the scrape target.\r\n\r\n```\r\nmetric_relabel_configs:\r\n  - source_labels: [__name__]\r\n    action: labelmap\r\n    regex: \"cpg|pool\"\r\n    replacement: \"storagepool\"\r\n  - source_labels: [__name__]\r\n    regex: \"^hpe(primera|nimble|3par|alletra6000|alletra9000)_(.*)\"\r\n    target_label: \"__name__\"\r\n    replacement: \"hpe_$2\"\r\n  - source_labels: [__name__]\r\n    regex: \"^hpe_(pool|cpg)_(.*)\"\r\n    target_label: \"__name__\"\r\n    replacement: \"hpe_storagepool_$2\"\r\n```\r\n\r\n## HPE Storage Array Exporter for Prometheus \r\n- Scrape target label named \"array\" with the storage array name or designation.\r\n- Requires the following drill-down dashboards to function properly:\r\n  - [HPE Storage Arrays](https://grafana.com/grafana/dashboards/14836)\r\n  - [HPE Storage Pools](https://grafana.com/grafana/dashboards/14907)\r\n  - [HPE Storage Array Details](https://grafana.com/grafana/dashboards/14908)\r\n  - [HPE Storage Volumes](https://grafana.com/grafana/dashboards/14909)\r\n  - [HPE Storage Volume Details](https://grafana.com/grafana/dashboards/14910)\r\n\r\n# Resources\r\n\r\nThis dashboard utilize the officially supported exporters for HPE storage systems.\r\n\r\n- [HPE CSI Info Metrics Provider for Prometheus](https://scod.hpedev.io/csi_driver/metrics.html)\r\n- [HPE Storage Array Exporter for Prometheus](https://hpe-storage.github.io/array-exporter/)\r\n\r\n# Support\r\n\r\nThis dashboard is provided, as-is, as an example and it's not officially supported by HPE. Join us on Slack at [slack.hpedev.io](https://slack.hpedev.io) in the storage platform channels if you have questions or feedback.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-23T16:54:41.000Z","updatedAt":"2021-09-15T02:16:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14905"},{"rel":"revisions","href":"/dashboards/14905/revisions"},{"rel":"revision","href":"/dashboards/14905/revisions/4"},{"rel":"download","href":"/dashboards/14905/revisions/4/download"},{"rel":"org","href":"/orgs/hpestorage"},{"rel":"images","href":"/dashboards/14905/images"},{"rel":"thumbnails","href":"/dashboards/14905/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10233,"status":1,"statusCode":"active","orgId":243338,"orgSlug":"mpolski","orgName":"mpolski","slug":"hpe-oneview","downloads":861,"revisionId":14303,"revision":1,"name":"HPE OneView Metrics","description":"Monitor your physical infrastructure managed by HPE OneView (HPE Synergy) for servers' CPU utilization, ambient temperature and all infrastructure power consumption as well as components state.","readme":"This dashbord represents physical infrastructure managed by HPE OneView (HPE Synergy) and displays state of the components (servers, enclosures, interconnect modules) as well as their environmental data like ambient temperature, power consumption as well as CPU utilization.\r\n\r\nThis dashboard requires running a custom Prometheus exporter for HPE OneView. \r\nIn particular, it shows:\r\n- Number of HPE Proliant servers managed by HPE OneView\r\n- Number of HPE Synergy Enclosures \r\n- For Enclosures: current and peak power consumption, ambient temperature\r\n- For server hardware: current and peak power consumption, CPU utilization\r\n- Operational state for server hardware, enclosures and interconnect and SAS interconnect modules \r\n\r\nThe dashboard is dynamic which means, adding/removing enclosures, interconnect modules or server server hardware will be reflected automatically.\r\n\r\nSee more at: https://github.com/mpolski/hpe-oneview-prometheus","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-05-20T23:30:47.000Z","updatedAt":"2019-07-03T10:01:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4.5,"links":[{"rel":"self","href":"/dashboards/10233"},{"rel":"revisions","href":"/dashboards/10233/revisions"},{"rel":"revision","href":"/dashboards/10233/revisions/1"},{"rel":"download","href":"/dashboards/10233/revisions/1/download"},{"rel":"org","href":"/orgs/mpolski"},{"rel":"images","href":"/dashboards/10233/images"},{"rel":"thumbnails","href":"/dashboards/10233/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14908,"status":1,"statusCode":"active","orgId":528539,"orgSlug":"hpestorage","orgName":"hpestorage","slug":"hpe-storage-array-details","downloads":1397,"revisionId":22303,"revision":3,"name":"HPE Storage Array Details","description":"Provides a birds eye view of a HPE storage array.","readme":"This dashboard displays an overview of a single HPE storage array using the HPE Storage Array Exporter for Prometheus scrape target. \r\n\r\n# Requirements\r\n\r\n- Scrape target label named \"array\" with the storage array name or designation.\r\n- Requires the following drill-down dashboards to function properly:\r\n  - [HPE Storage Pools](https://grafana.com/grafana/dashboards/14907)\r\n  - [HPE Storage Array Details](https://grafana.com/grafana/dashboards/14908)\r\n  - [HPE Storage Volumes](https://grafana.com/grafana/dashboards/14909)\r\n  - [HPE Storage Volume Details](https://grafana.com/grafana/dashboards/14910)\r\n\r\nThe source metrics needs to be normalized with the following `metric_relabel_configs` for the scrape target.\r\n\r\n```\r\nmetric_relabel_configs:\r\n  - source_labels: [__name__]\r\n    action: labelmap\r\n    regex: \"cpg|pool\"\r\n    replacement: \"storagepool\"\r\n  - source_labels: [__name__]\r\n    regex: \"^hpe(primera|nimble|3par|alletra6000|alletra9000)_(.*)\"\r\n    target_label: \"__name__\"\r\n    replacement: \"hpe_$2\"\r\n  - source_labels: [__name__]\r\n    regex: \"^hpe_(pool|cpg)_(.*)\"\r\n    target_label: \"__name__\"\r\n    replacement: \"hpe_storagepool_$2\"\r\n```\r\n\r\n# Resources\r\n\r\nThis dashboard utilize the officially supported exporter for HPE storage systems.\r\n- [HPE Storage Array Exporter for Prometheus](https://hpe-storage.github.io/array-exporter/)\r\n\r\n# Support\r\n\r\nThis dashboard is provided, as-is, as an example and it's not officially supported by HPE. Join us on Slack at [slack.hpedev.io](https://slack.hpedev.io) in the storage platform channels if you have questions or feedback.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-23T17:38:05.000Z","updatedAt":"2021-08-31T00:22:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14908"},{"rel":"revisions","href":"/dashboards/14908/revisions"},{"rel":"revision","href":"/dashboards/14908/revisions/3"},{"rel":"download","href":"/dashboards/14908/revisions/3/download"},{"rel":"org","href":"/orgs/hpestorage"},{"rel":"images","href":"/dashboards/14908/images"},{"rel":"thumbnails","href":"/dashboards/14908/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14836,"status":1,"statusCode":"active","orgId":528539,"orgSlug":"hpestorage","orgName":"hpestorage","slug":"hpe-storage-arrays","downloads":1792,"revisionId":22304,"revision":5,"name":"HPE Storage Arrays","description":"Enumerates HPE storage arrays with a clickable singlestat to drill down to storage pools.","readme":"This dashboard enumerates any arrays found in the datasource using a HPE Storage Array Exporter for Prometheus scrape target. \r\n\r\n# Requirements\r\n\r\n- Scrape target label named \"array\" with the storage array name or designation.\r\n- Requires the following drill-down dashboards to function properly:\r\n  - [HPE Storage Pools](https://grafana.com/grafana/dashboards/14907)\r\n  - [HPE Storage Array Details](https://grafana.com/grafana/dashboards/14908)\r\n  - [HPE Storage Volumes](https://grafana.com/grafana/dashboards/14909)\r\n  - [HPE Storage Volume Details](https://grafana.com/grafana/dashboards/14910)\r\n\r\nThe source metrics needs to be normalized with the following `metric_relabel_configs` for the scrape target.\r\n\r\n```\r\nmetric_relabel_configs:\r\n  - source_labels: [__name__]\r\n    action: labelmap\r\n    regex: \"cpg|pool\"\r\n    replacement: \"storagepool\"\r\n  - source_labels: [__name__]\r\n    regex: \"^hpe(primera|nimble|3par|alletra6000|alletra9000)_(.*)\"\r\n    target_label: \"__name__\"\r\n    replacement: \"hpe_$2\"\r\n  - source_labels: [__name__]\r\n    regex: \"^hpe_(pool|cpg)_(.*)\"\r\n    target_label: \"__name__\"\r\n    replacement: \"hpe_storagepool_$2\"\r\n```\r\n\r\n# Resources\r\n\r\nThis dashboard utilize the officially supported exporter for HPE storage systems.\r\n- [HPE Storage Array Exporter for Prometheus](https://hpe-storage.github.io/array-exporter/)\r\n\r\n# Support\r\n\r\nThis dashboard is provided, as-is, as an example and it's not officially supported by HPE. Join us on Slack at [slack.hpedev.io](https://slack.hpedev.io) in the storage platform channels if you have questions or feedback.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-05T17:34:32.000Z","updatedAt":"2021-08-31T00:23:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14836"},{"rel":"revisions","href":"/dashboards/14836/revisions"},{"rel":"revision","href":"/dashboards/14836/revisions/5"},{"rel":"download","href":"/dashboards/14836/revisions/5/download"},{"rel":"org","href":"/orgs/hpestorage"},{"rel":"images","href":"/dashboards/14836/images"},{"rel":"thumbnails","href":"/dashboards/14836/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14907,"status":1,"statusCode":"active","orgId":528539,"orgSlug":"hpestorage","orgName":"hpestorage","slug":"hpe-storage-pools","downloads":881,"revisionId":22305,"revision":3,"name":"HPE Storage Pools","description":"Enumerates pools or CPGs of a selected storage array.","readme":"This dashboard enumerates any pools o CPGs found for the selected array found in the datasource using a HPE Storage Array Exporter for Prometheus scrape target. \r\n\r\n# Requirements\r\n\r\n- Scrape target label named \"array\" with the storage array name or designation.\r\n- Requires the following drill-down dashboards to function properly:\r\n  - [HPE Storage Arrays](https://grafana.com/grafana/dashboards/14836)\r\n  - [HPE Storage Array Details](https://grafana.com/grafana/dashboards/14908)\r\n  - [HPE Storage Volumes](https://grafana.com/grafana/dashboards/14909)\r\n  - [HPE Storage Volume Details](https://grafana.com/grafana/dashboards/14910)\r\n\r\nThe source metrics needs to be normalized with the following `metric_relabel_configs` for the scrape target.\r\n\r\n```\r\nmetric_relabel_configs:\r\n  - source_labels: [__name__]\r\n    action: labelmap\r\n    regex: \"cpg|pool\"\r\n    replacement: \"storagepool\"\r\n  - source_labels: [__name__]\r\n    regex: \"^hpe(primera|nimble|3par|alletra6000|alletra9000)_(.*)\"\r\n    target_label: \"__name__\"\r\n    replacement: \"hpe_$2\"\r\n  - source_labels: [__name__]\r\n    regex: \"^hpe_(pool|cpg)_(.*)\"\r\n    target_label: \"__name__\"\r\n    replacement: \"hpe_storagepool_$2\"\r\n```\r\n\r\n# Resources\r\n\r\nThis dashboard utilize the officially supported exporter for HPE storage systems.\r\n- [HPE Storage Array Exporter for Prometheus](https://hpe-storage.github.io/array-exporter/)\r\n\r\n# Support\r\n\r\nThis dashboard is provided, as-is, as an example and it's not officially supported by HPE. Join us on Slack at [slack.hpedev.io](https://slack.hpedev.io) in the storage platform channels if you have questions or feedback.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-23T17:16:07.000Z","updatedAt":"2021-08-31T00:23:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14907"},{"rel":"revisions","href":"/dashboards/14907/revisions"},{"rel":"revision","href":"/dashboards/14907/revisions/3"},{"rel":"download","href":"/dashboards/14907/revisions/3/download"},{"rel":"org","href":"/orgs/hpestorage"},{"rel":"images","href":"/dashboards/14907/images"},{"rel":"thumbnails","href":"/dashboards/14907/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21668,"status":1,"statusCode":"active","orgId":1192785,"orgSlug":"sabbatakela","orgName":"sabbatakela","slug":"hpe-storage-top-5-volume","downloads":296,"revisionId":33903,"revision":1,"name":"HPE Storage TOP 5 volume","description":"Provides a birds eye view of a HPE storage top 5 volumes.","readme":"This dashboard displays an overview of a HPE storage top 5 volume using the HPE Storage Array Exporter for Prometheus scrape target.\r\n\r\nRequirements\r\n\r\nScrape target label named “array” with the storage array name or designation.\r\nThe source metrics needs to be normalized with the following metric_relabel_configs for the scrape target.\r\n//\r\nmetric_relabel_configs:\r\n  - source_labels: [__name__]\r\n    action: labelmap\r\n    regex: \"cpg|pool\"\r\n    replacement: \"storagepool\"\r\n  - source_labels: [__name__]\r\n    regex: \"^hpe(primera|nimble|3par|alletra6000|alletra9000)_(.*)\"\r\n    target_label: \"__name__\"\r\n    replacement: \"hpe_$2\"\r\n  - source_labels: [__name__]\r\n    regex: \"^hpe_(pool|cpg)_(.*)\"\r\n    target_label: \"__name__\"\r\n    replacement: \"hpe_storagepool_$2\"\r\n//\r\nResources\r\n\r\nThis dashboard utilize the officially supported exporter for HPE storage systems.\r\n\r\nHPE Storage Array Exporter for Prometheus","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-08-09T08:39:25.000Z","updatedAt":"2024-08-15T14:51:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21668"},{"rel":"revisions","href":"/dashboards/21668/revisions"},{"rel":"revision","href":"/dashboards/21668/revisions/1"},{"rel":"download","href":"/dashboards/21668/revisions/1/download"},{"rel":"org","href":"/orgs/sabbatakela"},{"rel":"images","href":"/dashboards/21668/images"},{"rel":"thumbnails","href":"/dashboards/21668/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14910,"status":1,"statusCode":"active","orgId":528539,"orgSlug":"hpestorage","orgName":"hpestorage","slug":"hpe-storage-volume-details","downloads":1026,"revisionId":22306,"revision":3,"name":"HPE Storage Volume Details","description":"Provides a drill-down overview of a volume.","readme":"This dashboard provide an overview of a particular volume found in the datasource using a HPE Storage Array Exporter for Prometheus scrape target. \r\n\r\n# Requirements\r\n\r\n- Scrape target label named \"array\" with the storage array name or designation.\r\n- Requires the following drill-down dashboards to function properly:\r\n  - [HPE Storage Arrays](https://grafana.com/grafana/dashboards/14836)\r\n  - [HPE Storage Pools](https://grafana.com/grafana/dashboards/14907)\r\n  - [HPE Storage Array Details](https://grafana.com/grafana/dashboards/14908)\r\n  - [HPE Storage Volumes](https://grafana.com/grafana/dashboards/14909)\r\n\r\nThe source metrics needs to be normalized with the following `metric_relabel_configs` for the scrape target.\r\n\r\n```\r\nmetric_relabel_configs:\r\n  - source_labels: [__name__]\r\n    action: labelmap\r\n    regex: \"cpg|pool\"\r\n    replacement: \"storagepool\"\r\n  - source_labels: [__name__]\r\n    regex: \"^hpe(primera|nimble|3par|alletra6000|alletra9000)_(.*)\"\r\n    target_label: \"__name__\"\r\n    replacement: \"hpe_$2\"\r\n  - source_labels: [__name__]\r\n    regex: \"^hpe_(pool|cpg)_(.*)\"\r\n    target_label: \"__name__\"\r\n    replacement: \"hpe_storagepool_$2\"\r\n```\r\n\r\n# Resources\r\n\r\nThis dashboard utilize the officially supported exporter for HPE storage systems.\r\n- [HPE Storage Array Exporter for Prometheus](https://hpe-storage.github.io/array-exporter/)\r\n\r\n# Support\r\n\r\nThis dashboard is provided, as-is, as an example and it's not officially supported by HPE. Join us on Slack at [slack.hpedev.io](https://slack.hpedev.io) in the storage platform channels if you have questions or feedback.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-23T17:57:20.000Z","updatedAt":"2021-08-31T00:23:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14910"},{"rel":"revisions","href":"/dashboards/14910/revisions"},{"rel":"revision","href":"/dashboards/14910/revisions/3"},{"rel":"download","href":"/dashboards/14910/revisions/3/download"},{"rel":"org","href":"/orgs/hpestorage"},{"rel":"images","href":"/dashboards/14910/images"},{"rel":"thumbnails","href":"/dashboards/14910/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14909,"status":1,"statusCode":"active","orgId":528539,"orgSlug":"hpestorage","orgName":"hpestorage","slug":"hpe-storage-volumes","downloads":1808,"revisionId":22415,"revision":4,"name":"HPE Storage Volumes","description":"List volumes in a pool or CPG for volume drill-down.","readme":"This dashboard enumerates volumes found in particular pool or CPG found in the datasource using a HPE Storage Array Exporter for Prometheus scrape target. \r\n\r\n# Requirements\r\n\r\n- Scrape target label named \"array\" with the storage array name or designation.\r\n- Requires the following drill-down dashboards to function properly:\r\n  - [HPE Storage Arrays](https://grafana.com/grafana/dashboards/14836)\r\n  - [HPE Storage Pools](https://grafana.com/grafana/dashboards/14907)\r\n  - [HPE Storage Array Details](https://grafana.com/grafana/dashboards/14908)\r\n  - [HPE Storage Volume Details](https://grafana.com/grafana/dashboards/14910)\r\n\r\nThe source metrics needs to be normalized with the following `metric_relabel_configs` for the scrape target.\r\n\r\n```\r\nmetric_relabel_configs:\r\n  - source_labels: [__name__]\r\n    action: labelmap\r\n    regex: \"cpg|pool\"\r\n    replacement: \"storagepool\"\r\n  - source_labels: [__name__]\r\n    regex: \"^hpe(primera|nimble|3par|alletra6000|alletra9000)_(.*)\"\r\n    target_label: \"__name__\"\r\n    replacement: \"hpe_$2\"\r\n  - source_labels: [__name__]\r\n    regex: \"^hpe_(pool|cpg)_(.*)\"\r\n    target_label: \"__name__\"\r\n    replacement: \"hpe_storagepool_$2\"\r\n```\r\n\r\n# Resources\r\n\r\nThis dashboard utilize the officially supported exporter for HPE storage systems.\r\n- [HPE Storage Array Exporter for Prometheus](https://hpe-storage.github.io/array-exporter/)\r\n\r\n# Support\r\n\r\nThis dashboard is provided, as-is, as an example and it's not officially supported by HPE. Join us on Slack at [slack.hpedev.io](https://slack.hpedev.io) in the storage platform channels if you have questions or feedback.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-23T17:54:59.000Z","updatedAt":"2021-09-15T02:17:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14909"},{"rel":"revisions","href":"/dashboards/14909/revisions"},{"rel":"revision","href":"/dashboards/14909/revisions/4"},{"rel":"download","href":"/dashboards/14909/revisions/4/download"},{"rel":"org","href":"/orgs/hpestorage"},{"rel":"images","href":"/dashboards/14909/images"},{"rel":"thumbnails","href":"/dashboards/14909/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":73,"status":1,"statusCode":"active","orgId":21361,"orgSlug":"brianl","orgName":"brianl","slug":"front-http","downloads":3553,"revisionId":286,"revision":3,"name":"HTTP 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kimyoungmin","slug":"hosted-metrics-usage-summary","downloads":358,"revisionId":16420,"revision":1,"name":"https://worldcashd.grafana.net,","description":"https://dashboard.stripe.com/test/dashboard\n\n1011000$$\n\n\n input: `service_account_key`\n\n\n\nhttps://dashboard.stripe.com/test/radar\n\n\nremote_write:\n- url: https://prometheus-us-central1.grafana.net/api/prom/push\n  basic_auth:\n    username: 10352\n    password: < ZmTDcdekiF99H9DO>\n\n>\n\n\n\n$ git lfs install\n$ git lfs push --all origin\nname: Node.js Package\non:\n  release:\n    types: [created]\njobs:\n  build:\n    runs-on: ubuntu-latest\n    steps:\n    - uses: actions/checkout@v1\n    # Setup .npmrc file to publish to npm\n    - uses: actions/setup-node@v1\n      with:\n        node-version: '10.x'\n        registry-url: 'https://registry.npmjs.org'\n    - run: npm install\n    # Publish to npm\n    - run: npm publish --access public\n      env:\n        NODE_AUTH_TOKEN: ${{ secrets.-BTC_TOKEN }}\n    # Setup .npmrc file to publish to GitHub Packages\n    - uses: actions/setup-node@v1\n      with:\n        registry-url: 'https://npm.pkg.github.com'\n        scope: '@octocat' # Defaults to the user or organization that owns the workflow file\n    # Publish to GitHub Packages\n    - run: npm publish\n      env:\n        NODE_AUTH_TOKEN: ${{ secrets.WCC(World CASH)_TOKEN }}\n\n$ git lfs install\n$ git lfs push -issue WCC(World CASH):#1000000000000000000-all origin","readme":"https://dashboard.stripe.com/test/dashboard\n\n1011000$$\n\n\n input: `service_account_key`\n\n\n\nhttps://dashboard.stripe.com/test/radar\n\n\nremote_write:\n- url: https://prometheus-us-central1.grafana.net/api/prom/push\n  basic_auth:\n    username: 10352\n    password: < ZmTDcdekiF99H9DO>\n\n>\n\n\n\n$ git lfs install\n$ git lfs push --all origin\nname: Node.js Package\non:\n  release:\n    types: [created]\njobs:\n  build:\n    runs-on: ubuntu-latest\n    steps:\n    - uses: actions/checkout@v1\n    # Setup .npmrc file to publish to npm\n    - uses: actions/setup-node@v1\n      with:\n        node-version: '10.x'\n        registry-url: 'https://registry.npmjs.org'\n    - run: npm install\n    # Publish to npm\n    - run: npm publish --access public\n      env:\n        NODE_AUTH_TOKEN: ${{ secrets.-BTC_TOKEN }}\n    # Setup .npmrc file to publish to GitHub Packages\n    - uses: actions/setup-node@v1\n      with:\n        registry-url: 'https://npm.pkg.github.com'\n        scope: '@octocat' # Defaults to the user or organization that owns the workflow file\n    # Publish to GitHub Packages\n    - run: npm publish\n      env:\n        NODE_AUTH_TOKEN: ${{ secrets.WCC(World CASH)_TOKEN }}\n\n$ git lfs install\n$ git lfs push -issue WCC(World CASH):#1000000000000000000-all origin","collectorType":"collectd","collectorConfig":"https://dashboard.stripe.com/test/dashboard\n\n1011000$$\n\n\n input: `service_account_key`\n\n\n\nhttps://dashboard.stripe.com/test/radar\n\n\nremote_write:\n- url: https://prometheus-us-central1.grafana.net/api/prom/push\n  basic_auth:\n    username: 10352\n    password: < ZmTDcdekiF99H9DO>\n\n>\n\n\n\n$ git lfs install\n$ git lfs push --all origin\nname: Node.js Package\non:\n  release:\n    types: [created]\njobs:\n  build:\n    runs-on: ubuntu-latest\n    steps:\n    - uses: actions/checkout@v1\n    # Setup .npmrc file to publish to npm\n    - uses: actions/setup-node@v1\n      with:\n        node-version: '10.x'\n        registry-url: 'https://registry.npmjs.org'\n    - run: npm install\n    # Publish to npm\n    - run: npm publish --access public\n      env:\n        NODE_AUTH_TOKEN: ${{ secrets.-BTC_TOKEN }}\n    # Setup .npmrc file to publish to GitHub Packages\n    - uses: actions/setup-node@v1\n      with:\n        registry-url: 'https://npm.pkg.github.com'\n        scope: '@octocat' # Defaults to the user or organization that owns the workflow file\n    # Publish to GitHub Packages\n    - run: npm publish\n      env:\n        NODE_AUTH_TOKEN: ${{ secrets.WCC(World CASH)_TOKEN }}\n\n$ git lfs install\n$ git lfs push -issue WCC(World CASH):#1000000000000000000-all origin","collectorPluginList":"Aggregation plugin","datasource":"Graphite","privacy":"public","createdAt":"2020-01-27T19:53:28.000Z","updatedAt":"2020-01-27T19:59:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11652"},{"rel":"revisions","href":"/dashboards/11652/revisions"},{"rel":"revision","href":"/dashboards/11652/revisions/1"},{"rel":"download","href":"/dashboards/11652/revisions/1/download"},{"rel":"org","href":"/orgs/kokis"},{"rel":"images","href":"/dashboards/11652/images"},{"rel":"thumbnails","href":"/dashboards/11652/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":18972,"status":1,"statusCode":"active","orgId":878313,"orgSlug":"wt1611","orgName":"wt1611","slug":"huawei-5735","downloads":895,"revisionId":29086,"revision":1,"name":"huawei 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Storage","description":"Huawei Dorado Storage metrics via SNMP","readme":"A templated Grafana dashboard for the Huawei Dorado all flash storage\r\n\r\nDependencies InfluxDB as the time-series database and Telegraf as the collector needs to be installed\r\n\r\nMore info see [my blog](https://blog.kruyt.org/huawei-dorado-all-flash-metrics-in-grafana/) \r\nFor all latest files, see [My GitHub page](https://github.com/dkruyt/OceanStor_Grafana)\r\n\r\n### Quick Start\r\n\r\n* Enable SNMP on your Huawei Dorado storage\r\n* Put dorado.conf in your `/etc/telegraf/telegraf.d` directory\r\n* Edit the community string as appropriate\r\n* Edit the SNMP verion as appropriate, please note that verion 2 is disabled by default on the Huawei OceanStor, check with `show snmp version` on the Storage\r\n* Edit the 'agents' list to include all of your monitored Dorado storages\r\n* Put the files in the mibs dir `/usr/share/snmp/mibs`\r\n* Import the Grafana dashboard\r\n\r\n### Screenshot\r\n\r\nAfter you setup all, you should have some dashboard like this\r\n\r\n![Grafana screenshot Dorado](https://github.com/dkruyt/Dorado_Grafana/blob/master/Huawei_Dorado_Storage.jpg?raw=true)","collectorType":"Telegraf","collectorConfig":"","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-01-11T23:48:17.000Z","updatedAt":"2018-01-11T23:52:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4329"},{"rel":"revisions","href":"/dashboards/4329/revisions"},{"rel":"revision","href":"/dashboards/4329/revisions/1"},{"rel":"download","href":"/dashboards/4329/revisions/1/download"},{"rel":"org","href":"/orgs/phantagom"},{"rel":"images","href":"/dashboards/4329/images"},{"rel":"thumbnails","href":"/dashboards/4329/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":25133,"status":1,"statusCode":"active","orgId":846175,"orgSlug":"snakst","orgName":"Ferabeo","slug":"huawei-lte-router","downloads":7,"revisionId":40407,"revision":1,"name":"Huawei LTE Router","description":"Huawei LTE 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[huawei-lte-exporter](https://github.com/imbo-fr/huawei-lte-exporter)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-07T10:38:00.000Z","updatedAt":"2026-04-07T10:51:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25133"},{"rel":"revisions","href":"/dashboards/25133/revisions"},{"rel":"revision","href":"/dashboards/25133/revisions/1"},{"rel":"download","href":"/dashboards/25133/revisions/1/download"},{"rel":"org","href":"/orgs/snakst"},{"rel":"images","href":"/dashboards/25133/images"},{"rel":"thumbnails","href":"/dashboards/25133/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2695,"status":1,"statusCode":"active","orgId":38512,"orgSlug":"phantagom","orgName":"Dennis Kruyt","slug":"huawei-storage","downloads":1382,"revisionId":4150,"revision":2,"name":"Huawei OceanStore Storage","description":"Huawei Storage metrics via SNMP","readme":"### OceanStor_Grafana\r\n\r\nA templated Dashboard for Huawei OceanStor storage (v2/v3) metrics\r\n\r\nDependencies InfluxDB as the time-series database Telegraf as the collector\r\n\r\nFor all files, see [My GitHub page](https://github.com/dkruyt/OceanStor_Grafana)\r\n\r\n### Quick Start\r\n\r\n* Enable SNMP on your Huawei OceanStor storage\r\n* Put hw_stor.conf in your `/etc/telegraf/telegraf.d` directory\r\n* Edit the community string as appropriate\r\n* Edit the SNMP verion as appropriate\r\n* Edit the 'agents' list to include all of your monitored OceanStor storages\r\n* Put the files in the mibs dir `/usr/share/snmp/mibs`\r\n* Import the Grafana dashboard\r\n\r\n### Screenshot\r\n\r\nAfter you setup all, you should have some dashboard like this\r\n\r\n![Grafana screenshot zswap](https://github.com/dkruyt/OceanStor_Grafana/raw/master/Grafana___Huawei_Storage_edit.jpg)\r\n","collectorType":"Telegraf","collectorConfig":"For all files, see [My GitHub page](https://github.com/dkruyt/OceanStor_Grafana)","collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2017-07-22T20:35:33.000Z","updatedAt":"2018-01-11T23:57:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/2695"},{"rel":"revisions","href":"/dashboards/2695/revisions"},{"rel":"revision","href":"/dashboards/2695/revisions/2"},{"rel":"download","href":"/dashboards/2695/revisions/2/download"},{"rel":"org","href":"/orgs/phantagom"},{"rel":"images","href":"/dashboards/2695/images"},{"rel":"thumbnails","href":"/dashboards/2695/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11645,"status":1,"statusCode":"active","orgId":339365,"orgSlug":"zaheerabbas1988","orgName":"zaheerabbas1988","slug":"huawei-servers","downloads":887,"revisionId":16412,"revision":1,"name":"Huawei Server iBMC Template Dashboard","description":"Huawei Server iBMC Template Dashboard","readme":"This dashboard is based on Huawei Server iBMC Template. Graphical Representation of Latest data collected via Huawei Server iBMC Template. \n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2020-01-27T09:23:57.000Z","updatedAt":"2020-01-27T09:27:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11645"},{"rel":"revisions","href":"/dashboards/11645/revisions"},{"rel":"revision","href":"/dashboards/11645/revisions/1"},{"rel":"download","href":"/dashboards/11645/revisions/1/download"},{"rel":"org","href":"/orgs/zaheerabbas1988"},{"rel":"images","href":"/dashboards/11645/images"},{"rel":"thumbnails","href":"/dashboards/11645/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":25240,"status":1,"statusCode":"active","orgId":1751073,"orgSlug":"paskaliussili","orgName":"paskaliussili","slug":"huawei-storage","downloads":11,"revisionId":40631,"revision":1,"name":"Huawei Storage","description":"Huawei Storage metrics via 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Huawei_FatAP_Grafana \r\n\r\nA templated Dashboard for Huawei Fat WLAN AP in Grafana\r\n\r\nDependencies InfluxDB as the time-series database and Telegraf as the collector should be installed.\r\n\r\nMore info see [my blog](https://blog.kruyt.org/huawei-fat-wlan-access-points-in-grafana/) \r\nFor all latest files, see [My GitHub page](https://github.com/dkruyt/Huawei_FatAP_Grafana)\r\n\r\n### Quick Start\r\n\r\n* Enable SNMP on your Huawei WLAN FAT Accespoint\r\n* Put hw_fatap.conf in your `/etc/telegraf/telegraf.d` directory\r\n* Edit the community string as appropriate\r\n* Edit the 'agents' list to include all of your monitored Fat WLAN Access points\r\n* Put the files in the mibs dir `/usr/share/snmp/mibs`\r\n* Import the Grafana dashboard json file\r\n\r\n### Screenshot\r\n\r\nAfter you setup all, you should have some dashboard like this\r\n\r\n![Grafana screenshot Huawe FAT AP](https://raw.githubusercontent.com/dkruyt/Huawei_FatAP_Grafana/master/Huawei%20FAT%20AP%20templated.png)","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2018-01-11T23:54:15.000Z","updatedAt":"2018-01-11T23:59:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4332"},{"rel":"revisions","href":"/dashboards/4332/revisions"},{"rel":"revision","href":"/dashboards/4332/revisions/1"},{"rel":"download","href":"/dashboards/4332/revisions/1/download"},{"rel":"org","href":"/orgs/phantagom"},{"rel":"images","href":"/dashboards/4332/images"},{"rel":"thumbnails","href":"/dashboards/4332/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17153,"status":1,"statusCode":"active","orgId":723604,"orgSlug":"keule232","orgName":"keule232","slug":"huawei-ck-1","downloads":282,"revisionId":26350,"revision":1,"name":"Huawei_CK_1","description":"ds","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-10-10T18:41:52.000Z","updatedAt":"2022-10-10T18:42:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17153"},{"rel":"revisions","href":"/dashboards/17153/revisions"},{"rel":"revision","href":"/dashboards/17153/revisions/1"},{"rel":"download","href":"/dashboards/17153/revisions/1/download"},{"rel":"org","href":"/orgs/keule232"},{"rel":"images","href":"/dashboards/17153/images"},{"rel":"thumbnails","href":"/dashboards/17153/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19425,"status":1,"statusCode":"active","orgId":611120,"orgSlug":"isovalent","orgName":"Isovalent","slug":"hubble-dns-overview-namespace","downloads":16079,"revisionId":29792,"revision":1,"name":"Hubble 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This will no longer be necessary once https://github.com/grafana/grafana/issues/21417 is 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2021](https://grafana.com/grafana/dashboards/13840)\n\nIntegration guide to be found soon at https://docs.hydradx.io/\nIntegration support can be found in our discord https://discord.com/invite/xtVnQgq","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-03-28T20:56:02.000Z","updatedAt":"2021-04-03T17:41:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/14158"},{"rel":"revisions","href":"/dashboards/14158/revisions"},{"rel":"revision","href":"/dashboards/14158/revisions/2"},{"rel":"download","href":"/dashboards/14158/revisions/2/download"},{"rel":"org","href":"/orgs/hydrasik"},{"rel":"images","href":"/dashboards/14158/images"},{"rel":"thumbnails","href":"/dashboards/14158/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18519,"status":1,"statusCode":"active","orgId":342814,"orgSlug":"nickellson1","orgName":"nickellson","slug":"hydraulic-fluid-leak-detection-localisation","downloads":293,"revisionId":28400,"revision":1,"name":"Hydraulic Fluid Leak Detection & Localisation","description":"BP Glen Lyon Hydraulics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Cognite Data Fusion","privacy":"public","createdAt":"2023-04-14T07:45:24.000Z","updatedAt":"2023-04-14T07:47:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18519"},{"rel":"revisions","href":"/dashboards/18519/revisions"},{"rel":"revision","href":"/dashboards/18519/revisions/1"},{"rel":"download","href":"/dashboards/18519/revisions/1/download"},{"rel":"org","href":"/orgs/nickellson1"},{"rel":"images","href":"/dashboards/18519/images"},{"rel":"thumbnails","href":"/dashboards/18519/thumbnails"}],"datasourceSlugs":["cognitedata-datasource"]},{"id":2618,"status":1,"statusCode":"active","orgId":69851,"orgSlug":"allangood","orgName":"allangood","slug":"hyper-v-metrics","downloads":4721,"revisionId":5741,"revision":4,"name":"Hyper-V Metrics","description":"","readme":"This dashboard was created to gather some metrics for Hyper-V Failover Clusters","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.win_perf_counters.object]]\r\n    ObjectName = \"Hyper-V Virtual Machine Health Summary\"\r\n    Instances = [\"------\"]\r\n\tMeasurement = \"hyperv_health\"\r\n    Counters = [\r\n      \"Health Ok\",\r\n      \"Health Critical\",\r\n    ]\r\n\t\r\n\t[[inputs.win_perf_counters.object]]\r\n    ObjectName = \"Hyper-V Hypervisor\"\r\n    Instances = [\"------\"]\r\n\tMeasurement = \"hyperv_hypervisor\"\r\n    Counters = [\r\n      \"Logical Processors\",\r\n      \"Partitions\",\r\n    ]\r\n\r\n\t[[inputs.win_perf_counters.object]]\r\n    ObjectName = \"Hyper-V Hypervisor Virtual Processor\"\r\n    Instances = [\"*\"]\r\n\tMeasurement = \"hyperv_processor\"\r\n    Counters = [\r\n      \"% Guest Run Time\",\r\n      \"% Hypervisor Run Time\",\r\n      \"% Idle Time\",\r\n\t  \"% Total Run Time\",\r\n    ]\r\n\t\r\n\t[[inputs.win_perf_counters.object]]\r\n    ObjectName = \"Hyper-V Dynamic Memory VM\"\r\n    Instances = [\"*\"]\r\n\tMeasurement = \"hyperv_dynamic_memory\"\r\n    Counters = [\r\n      \"Current Pressure\",\r\n      \"Guest Visible Physical Memory\",\r\n    ]\r\n\r\n\t[[inputs.win_perf_counters.object]]\r\n    ObjectName = \"Hyper-V VM Vid Partition\"\r\n    Instances = [\"*\"]\r\n\tMeasurement = \"hyperv_vid\"\r\n    Counters = [\r\n      \"Physical Pages Allocated\",\r\n    ]\r\n\t\r\n\t[[inputs.win_perf_counters.object]]\r\n    ObjectName = \"Hyper-V Virtual Switch\"\r\n    Instances = [\"*\"]\r\n\tMeasurement = \"hyperv_vswitch\"\r\n    Counters = [\r\n      \"Bytes Received/Sec\",\r\n\t  \"Bytes Sent/Sec\",\r\n\t  \"Packets Received/Sec\",\r\n\t  \"Packets Sent/Sec\",\r\n    ]\r\n\t\r\n\t[[inputs.win_perf_counters.object]]\r\n    ObjectName = \"Hyper-V Virtual Network Adapter\"\r\n    Instances = [\"*\"]\r\n\tMeasurement = \"hyperv_vmnet\"\r\n    Counters = [\r\n      \"Bytes Received/Sec\",\r\n\t  \"Bytes Sent/Sec\",\r\n\t  \"Packets Received/Sec\",\r\n\t  \"Packets Sent/Sec\",\r\n    ]\r\n\t\r\n\t[[inputs.win_perf_counters.object]]\r\n    ObjectName = \"Hyper-V Virtual IDE Controller\"\r\n    Instances = [\"*\"]\r\n\tMeasurement = \"hyperv_vmdisk\"\r\n    Counters = [\r\n      \"Read Bytes/Sec\",\r\n\t  \"Write Bytes/Sec\",\r\n\t  \"Read Sectors/Sec\",\r\n\t  \"Write Sectors/Sec\",\r\n    ]\r\n\t\r\n\t[[inputs.win_perf_counters.object]]\r\n    ObjectName = \"Hyper-V Virtual Storage Device\"\r\n    Instances = [\"*\"]\r\n\tMeasurement = \"hyperv_storage\"\r\n    Counters = [\r\n      \"Write Operations/Sec\",\r\n\t  \"Read Operations/Sec\",\r\n\t  \"Read Bytes/Sec\",\r\n\t  \"Write Bytes/Sec\",\r\n\t  \"Latency\",\r\n\t  \"Throughput\",\r\n    ]\r\n\t\r\n\t[[inputs.win_perf_counters.object]]\r\n    ObjectName = \"Cluster CSV File System\"\r\n    Instances = [\"*\"]\r\n\tMeasurement = \"cluster_csv_filesystem\"\r\n    Counters = [\r\n      \"Flushes/sec\",\r\n\t  \"Reads/sec\",\r\n\t  \"Writes/sec\",\r\n\t  \"Read Latency\",\r\n\t  \"Write Latency\",\r\n\t  \"Redirected Write Bytes/sec\",\r\n\t  \"Redirected Read Bytes/sec\",\r\n    ]\r\n```","collectorPluginList":null,"datasource":"Elasticsearch, 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Stats\r\n\r\nGrafana dashboard for the Prometheus metrics exposed by [hypercore-stats](https://github.com/holepunchto/hypercore-stats), [hyperswarm-stats](https://github.com/holepunchto/hyperswarm-stats) and [hyperdht-stats](https://github.com/holepunchto/hyperswarm-stats).\r\n\r\nSource: https://github.com/holepunchto/Grafana-hypercore-stats\r\n\r\nBuilt on top of [Node.js Exporter Quickstart and Dashboard](https://grafana.com/grafana/dashboards/14058-node-js/) (for the Node.js 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This data includes metrics related to the server and console application servers (WebSphere Application Server Liberty Base), your workload, your workstations, critical jobs, message queues, the database connection status, and more. Metrics provide insight into the state, health, and performance of your deployments and infrastructure. IBM Workload Automation cloud metric monitoring uses an opensource Cloud Native Computing Foundation (CNCF) project called Prometheus. It is particularly useful for collecting time series data that can be easily queried.\n\n## Metrics \n---\n\n| Metric  | Description |\n| ------------- | ------------- |\n| Workload  | Jobs by status, Jobs by workstation, Jobs by folder and the Workload throughput by jobs/minutes |\n| Critical Jobs | Incomplete predecessors, critical jobs, risk level for potential and high risks, estimated end and confidential factor  |\n| WA Server Internal Message Queue | Internal message queue usage for Appserverbox.msg, Courier.msg, mirrorbox.msg, Mailbox.msg, Monbox.msgn, Moncmd.msg, auditbox.msg, clbox.msg, planbox.msg, Intercom.msg, pobox messages, and server.msg |\n| Workstation Status | The number of running workstations and linked workstations |\n| Database Connection Status | The connection to the database status |\n| PODs | POD restarts, Failing PODs, POD CPU usage, Network I/O and RAM usage |\n| Persistent Volumes | Volumes capacity and Space used |\n| WA Server and Console - Liberty | Heap usage percentage, Active sessions, Live sessions, Active threads, Threadpool size and Time per garbage collection cycle moving average  |\n| WA Sever and Console - Connection Pools (Liberty) | Average time usage per connection over last, Managed connections, Free connection, Connection handles and Created and Destroyed connections|\n---\n## **For more information see our [Documentation](https://www.ibm.com/docs/it/workload-scheduler/9.5.0?topic=reference-monitoring-prometheus)**\n---\n### Workload\n![](https://grafana.com/api/dashboards/14592/images/10628/image)\n![](https://grafana.com/api/dashboards/14592/images/10629/image)\n### Internal Message Queues\n![](https://grafana.com/api/dashboards/14592/images/10627/image)\n### Workstation Status \n![](https://grafana.com/api/dashboards/14592/images/10630/image)\n### Liberty \n![](https://grafana.com/api/dashboards/14592/images/10625/image)\n![](https://grafana.com/api/dashboards/14592/images/10626/image)\n\n---\n***Note***: Version 9.5, Fix Pack 4 is required to enable the following monitoring features:\n\n- Critical Jobs metric\n- Workstation status metric\n- Database connection status metric\n- Job, Job stream, and Workstation Filters\n\nEarlier versions of the product enable only a subset of the monitoring features available with Version 9.5, Fix Pack 4.\n\n---\n**This Dashboard is licensed under [Apache 2.0 license](https://www.apache.org/licenses/LICENSE-2.0).** ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-07-07T10:09:40.000Z","updatedAt":"2021-09-20T12:58:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14691"},{"rel":"revisions","href":"/dashboards/14691/revisions"},{"rel":"revision","href":"/dashboards/14691/revisions/1"},{"rel":"download","href":"/dashboards/14691/revisions/1/download"},{"rel":"org","href":"/orgs/pasqualepeluso"},{"rel":"images","href":"/dashboards/14691/images"},{"rel":"thumbnails","href":"/dashboards/14691/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21117,"status":1,"statusCode":"active","orgId":357348,"orgSlug":"ibmzcx","orgName":"ibmzcx","slug":"ibm-zcx-for-z-os-monitoring","downloads":349,"revisionId":32856,"revision":1,"name":"IBM zCX for z/OS Monitoring","description":"A template to monitor zCX appliances. Copyright IBM Corporation 2020. LICENSE: Apache License, Version 2.0 (http://www.apache.org/licenses/LICENSE-2.0)","readme":"IBM® z/OS® Container Extensions (IBM zCX) makes it possible to integrate Linux on Z applications with z/OS. \r\n\r\nThis template allows users to monitor zCX appliance and Docker container statistics from one or more zCX appliances by running both Prometheus Node Exporter and cAdvisor on them.  This sample dashboard expects a Prometheus data source as its input.  To monitor one or more zCX appliances one needs to configure a Prometheus instance to poll all cAdvisor and Prometheus Node Exporter instances.\r\n\r\nBefore importing this template to Grafana, you will need to add your Prometheus instance that polls zCX appliances as a data source.\r\n\r\n© Copyright IBM Corporation 2020.\r\nLICENSE: Apache License, Version 2.0 (http://www.apache.org/licenses/LICENSE-2.0)\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-05-22T19:23:05.000Z","updatedAt":"2024-05-22T19:29:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21117"},{"rel":"revisions","href":"/dashboards/21117/revisions"},{"rel":"revision","href":"/dashboards/21117/revisions/1"},{"rel":"download","href":"/dashboards/21117/revisions/1/download"},{"rel":"org","href":"/orgs/ibmzcx"},{"rel":"images","href":"/dashboards/21117/images"},{"rel":"thumbnails","href":"/dashboards/21117/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14730,"status":1,"statusCode":"active","orgId":522609,"orgSlug":"icewarp","orgName":"icewarp","slug":"node-exporter-full","downloads":356,"revisionId":21887,"revision":1,"name":"IceWarp server","description":"Monitors metrics about IceWarp server using node_exporter and xinetd custom metrics.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-07-17T00:39:24.000Z","updatedAt":"2021-07-17T00:41:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14730"},{"rel":"revisions","href":"/dashboards/14730/revisions"},{"rel":"revision","href":"/dashboards/14730/revisions/1"},{"rel":"download","href":"/dashboards/14730/revisions/1/download"},{"rel":"org","href":"/orgs/icewarp"},{"rel":"images","href":"/dashboards/14730/images"},{"rel":"thumbnails","href":"/dashboards/14730/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5084,"status":1,"statusCode":"active","orgId":130109,"orgSlug":"pgward","orgName":"pgward","slug":"icinga-service-availability","downloads":1808,"revisionId":6749,"revision":1,"name":"Icinga Service Availability","description":"Historic Service Status for each of your Icinga2 monitored Services.","readme":"This dashboard uses data collected in Icinga2 and stored in a MySQL or MariaDB database. It shows the historic status of all services. Pick your host, then your service from the variable drop down boxes.\r\nIt shows, point in time status, check execution time, pie chart showing percentage over time for each status and a table of check results for cross referencing against the status graph.","collectorType":"Icinga","collectorConfig":"You need your Icinga2 service to write service check status to your database. In /etc/icinga2/features-available/ido-mysql.conf:\r\n\r\n```\r\nobject IdoMysqlConnection \"ido-mysql\" {\r\n  user = \"<icinga_user>\",\r\n  password = \"<password>\",\r\n  host = \"localhost\",\r\n  database = \"<icingadb>\"\r\n  categories = [ \"DbCatConfig\", \"DbCatState\", \"DbCatAcknowledgement\", \"DbCatComment\", \"DbCatDowntime\", \"DbCatEventHandler\", \"DbCatFlapping\", \"DbCatCheck\", \"DbCatNotification\", \"DbCatProgramStatus\", \"DbCatRetention\", \"DbCatStateHistory\" ]\r\n}\r\n```\r\nIf you are not already storing icinga data in a database then set one up and run the following to enable it:\r\n```\r\nicinga2 feature enable ido-mysql\r\n```\r\nYou will also need a table in your database that maps Icinga status values to status names (0 - OK, 1 - WARNING, 2 - CRITICAL, 3 - UNKNOWN). The following sql will create it for you:\r\n\r\n```sql\r\nCREATE TABLE statusmap (state int(11) NOT NULL,statstring varchar(10) NOT NULL) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;\r\nINSERT INTO statusmap (state, statstring) VALUES(0, 'OK'),(1, 'WARNING'),(2, 'CRITICAL'),(3, 'UNKNOWN');\r\n```\r\nCreate a grafana user in your icinga database that has select privileges only on icinga_objects, icinga_service_checks and statusmap. Use this user to login to your datasource.","collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2018-03-13T14:21:51.000Z","updatedAt":"2018-03-13T15:03:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/5084"},{"rel":"revisions","href":"/dashboards/5084/revisions"},{"rel":"revision","href":"/dashboards/5084/revisions/1"},{"rel":"download","href":"/dashboards/5084/revisions/1/download"},{"rel":"org","href":"/orgs/pgward"},{"rel":"images","href":"/dashboards/5084/images"},{"rel":"thumbnails","href":"/dashboards/5084/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":7962,"status":1,"statusCode":"active","orgId":190158,"orgSlug":"shsubramanian","orgName":"shsubramanian","slug":"icinga-host-availability","downloads":605,"revisionId":10848,"revision":1,"name":"Icinga-Host-Availability","description":"Historic Host Status for each of your Icinga2 monitored Hosts.\r\naka \"availability-report\"","readme":"","collectorType":"Icinga","collectorConfig":"View  https://grafana.com/dashboards/5084 & https://grafana.com/dashboards/7914\r\n\r\n\r\n    CREATE TABLE statusmap (state int(11) NOT NULL,statstring varchar(10) NOT NULL,hoststatstring varchar(10) NOT NULL) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;\r\n    INSERT INTO statusmap (state, statstring) VALUES(0, 'OK', 'UP'),(1, 'WARNING', 'UP'),(2, 'CRITICAL', 'DOWN'),(3, 'UNKNOWN', 'DOWN');","collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2018-09-17T06:05:50.000Z","updatedAt":"2018-09-17T06:09:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":2,"links":[{"rel":"self","href":"/dashboards/7962"},{"rel":"revisions","href":"/dashboards/7962/revisions"},{"rel":"revision","href":"/dashboards/7962/revisions/1"},{"rel":"download","href":"/dashboards/7962/revisions/1/download"},{"rel":"org","href":"/orgs/shsubramanian"},{"rel":"images","href":"/dashboards/7962/images"},{"rel":"thumbnails","href":"/dashboards/7962/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":7914,"status":1,"statusCode":"active","orgId":188409,"orgSlug":"guglerit","orgName":"guglerit","slug":"icinga-service-availability","downloads":1007,"revisionId":10788,"revision":2,"name":"Icinga-Service-Availability","description":"Historic Service Status for each of your Icinga2 monitored Services.\r\naka \"availability-report\"","readme":"Bugfixed Version of pgwards Dashboard: https://grafana.com/dashboards/5084 (rawSql in JSON - host to service relationship).","collectorType":"Icinga","collectorConfig":"see https://grafana.com/dashboards/5084","collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2018-09-11T11:33:17.000Z","updatedAt":"2018-09-11T12:16:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/7914"},{"rel":"revisions","href":"/dashboards/7914/revisions"},{"rel":"revision","href":"/dashboards/7914/revisions/2"},{"rel":"download","href":"/dashboards/7914/revisions/2/download"},{"rel":"org","href":"/orgs/guglerit"},{"rel":"images","href":"/dashboards/7914/images"},{"rel":"thumbnails","href":"/dashboards/7914/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":5009,"status":1,"statusCode":"active","orgId":128831,"orgSlug":"rwaffen","orgName":"rwaffen","slug":"icinga2-overview","downloads":1553,"revisionId":6644,"revision":1,"name":"Icinga2 Overview","description":"Icinga Overview of Services and Hosts","readme":"Shows Up/Down/Pending Hosts of the last 5 minutes.\r\n\r\nShows Critical/Warning/Unkown/Pending Services of the last 5 minutes.","collectorType":"Icinga","collectorConfig":"Uses the data of \"check_icinga\" from the master node to get numbers about the states of hosts and services.","collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2018-03-08T22:17:35.000Z","updatedAt":"2018-03-08T22:39:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5009"},{"rel":"revisions","href":"/dashboards/5009/revisions"},{"rel":"revision","href":"/dashboards/5009/revisions/1"},{"rel":"download","href":"/dashboards/5009/revisions/1/download"},{"rel":"org","href":"/orgs/rwaffen"},{"rel":"images","href":"/dashboards/5009/images"},{"rel":"thumbnails","href":"/dashboards/5009/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":56,"status":1,"statusCode":"active","orgId":21170,"orgSlug":"icinga","orgName":"Icinga Project","slug":"icinga2-with-graphite","downloads":4789,"revisionId":2109,"revision":3,"name":"Icinga2 with Graphite","description":"Icinga2 & Graphite Dashboard","readme":"# Icinga2 Dashboard\r\nThis dashboard can be used with a default icinga2 installation. It will show different states about a host and its services. Including UP/DOWN state, load, disk space, process count and more. The intention of the dashboard is to be extended as your icinga2 configuration grows. It includes special values like thresholds and downtimes.\r\n\r\n## Icinga2 Graphite Feature\r\nTo enable the *GraphiteWriter* on your icinga2 installation, use the commandline:\r\n`icinga2 feature enable graphite`\r\n\r\nConfigure your Graphite host in `/etc/icinga2/features-enabled/graphite.conf`:\r\n```\r\nobject GraphiteWriter \"graphite\" {\r\n  host = \"127.0.0.1\"\r\n  port = 2003\r\n}\r\n```\r\nLearn more about the GraphiteWriter in the [Docs](http://docs.icinga.org/icinga2/latest/doc/module/icinga2/chapter/object-types#objecttype-graphitewriter)\r\n## Thresholds\r\nThresholds are not configured in graph panels, but retreived from icinga2.  It helps you to find alerts that happened in the past. Sending of thresholds disabled by default, you need to enable it in your icinga2 `graphite.conf`:\r\n```\r\nobject GraphiteWriter \"graphite\" {\r\n  host = \"127.0.0.1\"\r\n  port = 2003\r\n\r\n  enable_send_thresholds = true\r\n}\r\n```\r\n\r\n## Metadata\r\nIcinga2 can send metadata information about every host and service check. These data include information about downtimes, acknowledgements, states, execution time, latency and more. Sending metadata is disabled by default. To enable it, configure `graphite.conf`:\r\n```\r\nobject GraphiteWriter \"graphite\" {\r\n  host = \"127.0.0.1\"\r\n  port = 2003\r\n\r\n  enable_send_metadata = true\r\n}\r\n```","collectorType":"Icinga","collectorConfig":"icinga2 feature enable graphite","collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2016-06-24T09:46:24.000Z","updatedAt":"2017-02-22T08:21:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/56"},{"rel":"revisions","href":"/dashboards/56/revisions"},{"rel":"revision","href":"/dashboards/56/revisions/3"},{"rel":"download","href":"/dashboards/56/revisions/3/download"},{"rel":"org","href":"/orgs/icinga"},{"rel":"images","href":"/dashboards/56/images"},{"rel":"thumbnails","href":"/dashboards/56/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":20980,"status":1,"statusCode":"active","orgId":1113241,"orgSlug":"rim1belabadia1","orgName":"rim1belabadia1","slug":"icinga2-with-graphite","downloads":263,"revisionId":32588,"revision":1,"name":"Icinga2 with Graphite","description":"Icinga2 & Graphite Dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2024-04-29T23:07:54.000Z","updatedAt":"2024-04-29T23:08:06.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20980"},{"rel":"revisions","href":"/dashboards/20980/revisions"},{"rel":"revision","href":"/dashboards/20980/revisions/1"},{"rel":"download","href":"/dashboards/20980/revisions/1/download"},{"rel":"org","href":"/orgs/rim1belabadia1"},{"rel":"images","href":"/dashboards/20980/images"},{"rel":"thumbnails","href":"/dashboards/20980/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":381,"status":1,"statusCode":"active","orgId":21170,"orgSlug":"icinga","orgName":"Icinga Project","slug":"icinga2-with-influxdb","downloads":8046,"revisionId":516,"revision":1,"name":"Icinga2 with InfluxDB","description":"Icinga2 & InfluxDB Dashboard","readme":"# Icinga2 Dashboard\r\nThis dashboard can be used with a default icinga2 installation. It will show different states about a host and its services. Including UP/DOWN state, load, disk space, process count and more. The intention of the dashboard is to be extended as your icinga2 configuration grows. It includes special values like thresholds and downtimes.\r\n\r\n## Icinga2 InfluxDB Feature\r\nTo enable the *InfluxdbWriter* on your icinga2 installation, use the commandline:\r\n`icinga2 feature enable influxdb`\r\n\r\nConfigure your InfluxDB host and database in `/etc/icinga2/features-enabled/influxdb.conf`:\r\n```\r\nobject InfluxdbWriter \"influxdb\" {\r\n  host = \"127.0.0.1\"\r\n  port = 8086\r\n  database = \"icinga2\"\r\n  username = \"icinga2\"\r\n  password = \"icinga2\"\r\n  host_template = {\r\n    measurement = \"$host.check_command$\"\r\n    tags = {\r\n      hostname = \"$host.name$\"\r\n    }\r\n  }\r\n  service_template = {\r\n    measurement = \"$service.check_command$\"\r\n    tags = {\r\n      hostname = \"$host.name$\"\r\n      service = \"$service.name$\"\r\n    }\r\n  }\r\n}\r\n```\r\nLearn more about the InfluxdbWriter in the [Docs](http://docs.icinga.org/icinga2/latest/doc/module/icinga2/chapter/object-types#objecttype-influxdbwriter)\r\n## Thresholds\r\nThresholds are not configured in graph panels, but retreived from icinga2.  It helps you to find alerts that happened in the past. Sending of thresholds disabled by default, you need to enable it in your icinga2 `influxdb.conf`:\r\n```\r\nobject InfluxdbWriter \"influxdb\" {\r\n  [ ... ]\r\n\r\n  enable_send_thresholds = true\r\n}\r\n```\r\n\r\n## Metadata\r\nIcinga2 can send metadata information about every host and service check. These data include information about downtimes, acknowledgements, states, execution time, latency and more. Sending metadata is disabled by default. To enable it, configure `influxdb.conf`:\r\n```\r\nobject InfluxdbWriter \"influxdb\" {\r\n  [ ... ]\r\n\r\n  enable_send_metadata = true\r\n}\r\n}\r\n```","collectorType":"Icinga","collectorConfig":"icinga2 feature enable influxdb","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2016-08-29T14:12:55.000Z","updatedAt":"2016-10-18T19:20:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/381"},{"rel":"revisions","href":"/dashboards/381/revisions"},{"rel":"revision","href":"/dashboards/381/revisions/1"},{"rel":"download","href":"/dashboards/381/revisions/1/download"},{"rel":"org","href":"/orgs/icinga"},{"rel":"images","href":"/dashboards/381/images"},{"rel":"thumbnails","href":"/dashboards/381/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15361,"status":1,"statusCode":"active","orgId":574158,"orgSlug":"goyeeliott","orgName":"goyeeliott","slug":"icinga2-with-influxdb","downloads":1508,"revisionId":23114,"revision":1,"name":"Icinga2 with InfluxDB 2","description":"Icinga2 & InfluxDB 2\r\n\r\nDashboard for Icinga2 & InfluxDB 2 using the Flux query language","readme":"","collectorType":"Icinga","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-12-07T14:37:39.000Z","updatedAt":"2021-12-07T14:42:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15361"},{"rel":"revisions","href":"/dashboards/15361/revisions"},{"rel":"revision","href":"/dashboards/15361/revisions/1"},{"rel":"download","href":"/dashboards/15361/revisions/1/download"},{"rel":"org","href":"/orgs/goyeeliott"},{"rel":"images","href":"/dashboards/15361/images"},{"rel":"thumbnails","href":"/dashboards/15361/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":1572,"status":1,"statusCode":"active","orgId":46707,"orgSlug":"mikesch","orgName":"Carsten","slug":"icinga2-host-default","downloads":2734,"revisionId":2115,"revision":1,"name":"icinga2-influxdb-host","description":"Icinga2 with InfluxDB showing all configured services.","readme":"# Icinga2 Automatic Dashboard\r\n\r\nThis dashboard will show all services for a selected host. \r\n\r\nSetup Icinga2 with InfluxDB feature as described in the [docs](https://docs.icinga.com/icinga2/latest/doc/module/icinga2/chapter/object-types#objecttype-influxdbwriter).\r\n\r\n\r\nDo not use this with the icingaweb2-module-grafana!","collectorType":"Icinga","collectorConfig":"icinga2 feature enable influxdb","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2017-02-22T17:59:47.000Z","updatedAt":"2018-05-24T07:47:32.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1572"},{"rel":"revisions","href":"/dashboards/1572/revisions"},{"rel":"revision","href":"/dashboards/1572/revisions/1"},{"rel":"download","href":"/dashboards/1572/revisions/1/download"},{"rel":"org","href":"/orgs/mikesch"},{"rel":"images","href":"/dashboards/1572/images"},{"rel":"thumbnails","href":"/dashboards/1572/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12412,"status":1,"statusCode":"active","orgId":222696,"orgSlug":"anarcat","orgName":"anarcat","slug":"icmp-exporter","downloads":16970,"revisionId":26328,"revision":3,"name":"ICMP exporter","description":"","readme":"This dashboard will represent metrics collected by the ICMP probe of the blackbox exporter and graph them in something that somewhat ressembles what good old Smokeping does.\r\n\r\nFeel free to contact me for improvements or questions, anarcat AT debian.\r\n\r\nSee also the larger discussion at <https://anarc.at/blog/2020-06-04-replacing-smokeping-prometheus/> and the upstream repository at: <https://gitlab.com/anarcat/grafana-dashboards>","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2020-06-04T15:31:03.000Z","updatedAt":"2022-10-07T15:30:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/12412"},{"rel":"revisions","href":"/dashboards/12412/revisions"},{"rel":"revision","href":"/dashboards/12412/revisions/3"},{"rel":"download","href":"/dashboards/12412/revisions/3/download"},{"rel":"org","href":"/orgs/anarcat"},{"rel":"images","href":"/dashboards/12412/images"},{"rel":"thumbnails","href":"/dashboards/12412/thumbnails"}]},{"id":15655,"status":1,"statusCode":"active","orgId":201234,"orgSlug":"rafatec","orgName":"Rafael Prudente","slug":"dashboard","downloads":1232,"revisionId":23632,"revision":1,"name":"ICMP Monitoring by WorldMap with HDD Monitoring","description":"Ideal for monitoring HDD devices and controlling UP and DOWN","readme":"Telegran: https://t.me/Rafaprudente","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource, MySQL","privacy":"public","createdAt":"2022-01-31T14:35:59.000Z","updatedAt":"2023-06-07T23:19:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15655"},{"rel":"revisions","href":"/dashboards/15655/revisions"},{"rel":"revision","href":"/dashboards/15655/revisions/1"},{"rel":"download","href":"/dashboards/15655/revisions/1/download"},{"rel":"org","href":"/orgs/rafatec"},{"rel":"images","href":"/dashboards/15655/images"},{"rel":"thumbnails","href":"/dashboards/15655/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource","mysql"]},{"id":3978,"status":1,"statusCode":"active","orgId":23364,"orgSlug":"shirokih","orgName":"shirokih","slug":"icmp-retry","downloads":535,"revisionId":5406,"revision":1,"name":"Icmp retry's by pool","description":"Shows icmp retry statistics gathered from ping process ","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-12-11T19:18:44.000Z","updatedAt":"2017-12-11T19:22:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3978"},{"rel":"revisions","href":"/dashboards/3978/revisions"},{"rel":"revision","href":"/dashboards/3978/revisions/1"},{"rel":"download","href":"/dashboards/3978/revisions/1/download"},{"rel":"org","href":"/orgs/shirokih"},{"rel":"images","href":"/dashboards/3978/images"},{"rel":"thumbnails","href":"/dashboards/3978/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10133,"status":1,"statusCode":"active","orgId":249619,"orgSlug":"luishmnascimento","orgName":"luishmnascimento","slug":"icmp-servi-os","downloads":2990,"revisionId":14170,"revision":1,"name":"ICMP Serviços","description":"Template com monitoramento dos principais serviços, como Facebook, Google, Netflix. Fique a vontade para modificar ou add mais itens.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2019-05-03T00:30:52.000Z","updatedAt":"2019-05-03T00:32:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":3.67,"links":[{"rel":"self","href":"/dashboards/10133"},{"rel":"revisions","href":"/dashboards/10133/revisions"},{"rel":"revision","href":"/dashboards/10133/revisions/1"},{"rel":"download","href":"/dashboards/10133/revisions/1/download"},{"rel":"org","href":"/orgs/luishmnascimento"},{"rel":"images","href":"/dashboards/10133/images"},{"rel":"thumbnails","href":"/dashboards/10133/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":24564,"status":1,"statusCode":"active","orgId":1606504,"orgSlug":"roddyd","orgName":"roddyd","slug":"icmping-tcping-packet-loss-table","downloads":32,"revisionId":39452,"revision":2,"name":"ICMPing & TCPing Packet Loss Table","description":"Prometheus Blackbox Exporter Overview","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-12-13T08:29:01.000Z","updatedAt":"2025-12-31T06:03:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24564"},{"rel":"revisions","href":"/dashboards/24564/revisions"},{"rel":"revision","href":"/dashboards/24564/revisions/2"},{"rel":"download","href":"/dashboards/24564/revisions/2/download"},{"rel":"org","href":"/orgs/roddyd"},{"rel":"images","href":"/dashboards/24564/images"},{"rel":"thumbnails","href":"/dashboards/24564/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14071,"status":1,"statusCode":"active","orgId":471178,"orgSlug":"idoxtreme","orgName":"iDoXtreme","slug":"sytemd-services-status","downloads":282,"revisionId":20630,"revision":1,"name":"iDoXtreme","description":"iDoXtreme","readme":"iDoXtreme","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-03-15T05:28:39.000Z","updatedAt":"2021-03-15T05:32:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14071"},{"rel":"revisions","href":"/dashboards/14071/revisions"},{"rel":"revision","href":"/dashboards/14071/revisions/1"},{"rel":"download","href":"/dashboards/14071/revisions/1/download"},{"rel":"org","href":"/orgs/idoxtreme"},{"rel":"images","href":"/dashboards/14071/images"},{"rel":"thumbnails","href":"/dashboards/14071/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13189,"status":1,"statusCode":"active","orgId":425924,"orgSlug":"tianbocheng","orgName":"tianbocheng","slug":"idpointer","downloads":344,"revisionId":20819,"revision":5,"name":"idpointer","description":"idpointer监控","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-16T05:04:16.000Z","updatedAt":"2021-04-02T10:55:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13189"},{"rel":"revisions","href":"/dashboards/13189/revisions"},{"rel":"revision","href":"/dashboards/13189/revisions/5"},{"rel":"download","href":"/dashboards/13189/revisions/5/download"},{"rel":"org","href":"/orgs/tianbocheng"},{"rel":"images","href":"/dashboards/13189/images"},{"rel":"thumbnails","href":"/dashboards/13189/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23594,"status":1,"statusCode":"active","orgId":610437,"orgSlug":"yvancharbonnier","orgName":"yvancharbonnier","slug":"idq-operation-dashboard-v3-85","downloads":205,"revisionId":37753,"revision":3,"name":"IDQ - QSN Operation Dashboard","description":"IDQ operational dashboard sample for Quantum Safe Networks","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2025-06-23T09:56:18.000Z","updatedAt":"2025-07-16T09:59:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23594"},{"rel":"revisions","href":"/dashboards/23594/revisions"},{"rel":"revision","href":"/dashboards/23594/revisions/3"},{"rel":"download","href":"/dashboards/23594/revisions/3/download"},{"rel":"org","href":"/orgs/yvancharbonnier"},{"rel":"images","href":"/dashboards/23594/images"},{"rel":"thumbnails","href":"/dashboards/23594/thumbnails"}]},{"id":12106,"status":1,"statusCode":"active","orgId":355688,"orgSlug":"ilovepancakes95","orgName":"ilovepancakes95","slug":"idrac-host-stats","downloads":10505,"revisionId":32829,"revision":4,"name":"iDRAC - Host Stats","description":"SNMP Based Dashboard to Monitor Dell Hosts via iDRAC - by ilovepancakes95","readme":"# Ultimate iDRAC Grafana Dashboard (Telegraf SNMP Based)\r\n\r\nUpdated 05/20/2024 to work with Grafana v11.\r\n\r\nGithub Repository: [LINK](https://github.com/ilovepancakes95/idrac_snmp-grafana)  \r\nSNMP Based Dashboard to Monitor Dell Hosts via iDRAC  \r\nGrafana Dashboard ID: [12106](https://grafana.com/grafana/dashboards/12106)    \r\n\r\n![Screenshot 1](https://grafana.com/api/dashboards/12106/images/7943/image)\r\n## How To Use\r\nEnable SNMPv1 in the iDRACs you wish to monitor. Install and setup Telegraf, InfluxDB, and Grafana to work with eachother. Use the provided `idrac-input.conf` file and replace the values for \"idracURLx\" under \"agent\" with your own iDRAC IPs or hostnames. Restart Telegraf. Then, import the dashboard json file (or use [Grafana Dashboard ID](https://grafana.com/grafana/dashboards/12106)) to add the dashboard and panels to Grafana, selecting your own InfluxDB database after clicking \"Import\". Data may take up to 2 minutes to fully populate the first time. Enjoy!\r\n## Features\r\n* Uses Grafana variables to dynamically pull in all iDRACs listed in the Telegraf config file, and draw a new \"row\" section for each iDRAC that gets added.\r\n* Displays summary table and global status \"heat\" map of all iDRACs being polled.\r\n* Summary table pulls in each iDRAC URL so clicking System Name in the table brings you directly to that iDRAC's logon page.\r\n* Panels and table cells change color to indicate failures or other status messages.\r\n* Variable selection box allows fine-tuning of which systems are displayed on the dashboard. (Default is \"All\").\r\n* Each system's section on the dashboard is dynamically drawn based on variable selection to show the following data for each host:\r\n  * Uptime, Global Status, Power State, PSU Status, CMOS Battery Status, RAID Battery Status, Storage Status, RAM Status, & Thermal Status\r\n  * Service Tag, BIOS Version, and Intrusion Sensor Status\r\n  * OS Name and OS Version Table\r\n  * System Power (in watts) Graph\r\n  * CPU Temp Graph\r\n  * System Air Temp Graph\r\n  * Fan Speed Graph\r\n  * Physical Disk Status Table (Disk Name, Capacity, Status, Predictive Fail Alarm)\r\n  * System Log Entries Table\r\n  * Network Interfaces Table (NIC Name, Vendor, Status, MAC Address)\r\n* Adding more data is as simple as adding the appropriate iDRAC OID to the Telegraf config file, and adding a panel to display the new data on the dashboard.\r\n\r\n## Full Screenshot\r\nThis screenshot shows the full dashboard with 3 systems being monitored and displayed.\r\n\r\n![Screenshot 2](https://grafana.com/api/dashboards/12106/images/7940/image)\r\n\r\n## Build Environment\r\n* Grafana for visualization of data\r\n* Telegraf for data collection with SNMP Input Plugin\r\n* InfluxDB for time series and table data storage\r\n* iDRAC with SNMP Enabled (v1) - Tested with iDRAC 7 and iDRAC 8 on Dell Poweredge r720xd and r730xd servers.\r\n\r\n## Adding More Data and Panels\r\niDRAC has the capability to display a TON of data through SNMP and it's easy to expand this dashboard to add more of it, per your collection and monitoring needs. I used the [Dell MIB Files](https://www.dell.com/support/article/en-us/sln285502/how-to-find-dell-management-information-base-mib-files?lang=en) with an [MIB Browser](https://www.ireasoning.com/mibbrowser.shtml) and the [Dell EMC OpenManage SNMP Reference Guide](https://topics-cdn.dell.com/pdf/openmanage-software-v92_connectivity-guide_en-us.pdf) to figure out the OIDs.\r\n\r\n## Known Issues / Needs Work\r\n~~One of the only major data related problems I could not figure out was the proper display of Date & Time for system log entries. Dell outputs a date & time stamp for each log entry in the format: `20200420173454.000000-300`. This is what is displayed in the system log table panel as Grafana can't understand and re-format dates and times in this provided format it seems, to make it looks pretty, such as `YYYY-MM-DD HH:MM:SS` I have heard that Telegraf/InfluxDB may have a way for this data to be transformed into a better structure before it makes it to Grafana, although I have come up empty with easy or even semi-easy ways to do this. Hoping somebody else knows a fix that isn't extremely involved.~~  \r\nFix implemented per @krystiancharubin regex processor in `idrac-input.conf`\r\n* Sometimes, for only a few seconds, the data in the tables repeats itself and gets out of line, even though the \"group by\" in the query has a limit of 1.\r\n","collectorType":"Telegraf","collectorConfig":"# Telegraf Sample Config File\r\nChange the \"idracURL1\", \"idracURL2\", etc. values to match your iDRAC IPs or Hostnames. Make sure SNMPv1 is enabled in iDRAC first.\r\n```\r\n[[processors.regex]]\r\n  [[processors.regex.fields]]\r\n    key = \"log-dates\"\r\n    pattern = \"^(?P<YYYY>\\\\d{4})(?P<MM>\\\\d{2})(?P<DD>\\\\d{2})(?P<HH>\\\\d{2})(?P<mm>\\\\d{2})(?P<ss>\\\\d{2})\\\\.(?P<SSSSSS>\\\\d{6})(?P<ZZ>[-+]\\\\d{3,4})$\"\r\n    replacement = \"${YYYY}-${MM}-${DD} ${HH}:${mm}:${ss}\"\r\n\r\n[[inputs.snmp]]\r\n  agents = [ \"idracURL1:161\" , \"idracURL2:161\" , \"idracURL3:161\" ]\r\n  version = 1\r\n  community = \"public\"\r\n  name = \"idrac-hosts\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"system-name\"\r\n     oid  = \".1.3.6.1.2.1.1.5.0\"\r\n     is_tag = true\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"system-osname\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.1.3.6.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"system-osversion\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.1.3.14.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"system-model\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.1.3.12.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"idrac-url\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.1.1.6.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"power-state\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.2.4.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"system-uptime\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.2.5.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"system-servicetag\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.1.3.2.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"system-globalstatus\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.2.1.0\"\r\n\r\n  [[inputs.snmp.table]]\r\n     name = \"idrac-hosts\"\r\n     inherit_tags = [ \"system-name\" , \"disks-name\" ]\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"bios-version\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.4.300.50.1.8\"\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"raid-batterystate\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.5.1.20.130.15.1.4\"\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"intrusion-sensor\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.4.300.70.1.6\"\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"disks-mediatype\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.5.1.20.130.4.1.35\"\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"disks-state\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.5.1.20.130.4.1.4\"\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"disks-predictivefail\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.5.1.20.130.4.1.31\"\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"disks-capacity\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.5.1.20.130.4.1.11\"\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"disks-name\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.5.1.20.130.4.1.2\"\r\n       is_tag = true\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"memory-status\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.4.200.10.1.27\"\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"storage-status\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.2.3\"\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"temp-status\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.4.200.10.1.63\"\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"psu-status\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.4.200.10.1.9\"\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"log-dates\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.4.300.40.1.8\"\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"log-entry\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.4.300.40.1.5\"\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"log-severity\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.4.300.40.1.7\"\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"log-number\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.4.300.40.1.2\"\r\n       is_tag = true\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"nic-name\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.4.1100.90.1.30\"\r\n       is_tag = true\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"nic-vendor\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.4.1100.90.1.7\"\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"nic-status\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.4.1100.90.1.4\"\r\n\r\n    [[inputs.snmp.table.field]]\r\n       name = \"nic-current_mac\"\r\n       oid = \".1.3.6.1.4.1.674.10892.5.4.1100.90.1.15\"\r\n       conversion = \"hwaddr\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"fan1-speed\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.12.1.6.1.1\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"fan2-speed\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.12.1.6.1.2\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"fan3-speed\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.12.1.6.1.3\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"fan4-speed\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.12.1.6.1.4\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"fan5-speed\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.12.1.6.1.5\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"fan6-speed\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.12.1.6.1.6\"\r\n \r\n  [[inputs.snmp.field]]\r\n     name = \"inlet-temp\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.20.1.6.1.1\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"exhaust-temp\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.20.1.6.1.2\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"cpu1-temp\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.20.1.6.1.3\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"cpu2-temp\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.20.1.6.1.4\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"cmos-batterystate\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.600.50.1.6.1.1\"\r\n\r\n  [[inputs.snmp.field]]\r\n     name = \"system-watts\"\r\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.600.30.1.6.1.3\"\r\n\r\n```","collectorPluginList":"influxdb, snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2020-04-20T21:05:59.000Z","updatedAt":"2024-05-20T18:06:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":9,"reviewsAvgRating":4.56,"links":[{"rel":"self","href":"/dashboards/12106"},{"rel":"revisions","href":"/dashboards/12106/revisions"},{"rel":"revision","href":"/dashboards/12106/revisions/4"},{"rel":"download","href":"/dashboards/12106/revisions/4/download"},{"rel":"org","href":"/orgs/ilovepancakes95"},{"rel":"images","href":"/dashboards/12106/images"},{"rel":"thumbnails","href":"/dashboards/12106/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14060,"status":1,"statusCode":"active","orgId":471861,"orgSlug":"kiwivoiceanddata","orgName":"Kiwi","slug":"idrac-host-stats","downloads":398,"revisionId":20617,"revision":1,"name":"iDRAC - Host Stats","description":"SNMP Based Dashboard to Monitor Dell Hosts via iDRAC - by ilovepancakes95","readme":"","collectorType":"Telegraf","collectorConfig":"[[processors.regex]]\n  [[processors.regex.fields]]\n    key = \"log-dates\"\n    pattern = \"^(?P<YYYY>\\\\d{4})(?P<MM>\\\\d{2})(?P<DD>\\\\d{2})(?P<HH>\\\\d{2})(?P<mm>\\\\d{2})(?P<ss>\\\\d{2})\\\\.(?P<SSSSSS>\\\\d{6})(?P<ZZ>[-+]\\\\d{3,4})$\"\n    replacement = \"${YYYY}-${MM}-${DD} ${HH}:${mm}:${ss}\"\n\n[[inputs.snmp]]\n  agents = [ \"87.224.126.218:51232\" ]\n  version = 1\n  community = \"G3x7GwLqP5PgAygyauYI\"\n  name = \"idrac-hosts\"\n\n  [[inputs.snmp.field]]\n     name = \"system-name\"\n     oid  = \".1.3.6.1.2.1.1.5.0\"\n     is_tag = true\n\n  [[inputs.snmp.field]]\n     name = \"system-osname\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.1.3.6.0\"\n\n  [[inputs.snmp.field]]\n     name = \"system-osversion\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.1.3.14.0\"\n\n  [[inputs.snmp.field]]\n     name = \"system-model\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.1.3.12.0\"\n\n  [[inputs.snmp.field]]\n     name = \"idrac-url\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.1.1.6.0\"\n\n  [[inputs.snmp.field]]\n     name = \"power-state\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.2.4.0\"\n\n  [[inputs.snmp.field]]\n     name = \"system-uptime\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.2.5.0\"\n\n  [[inputs.snmp.field]]\n     name = \"system-servicetag\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.1.3.2.0\"\n\n  [[inputs.snmp.field]]\n     name = \"system-globalstatus\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.2.1.0\"\n\n  [[inputs.snmp.table]]\n     name = \"idrac-hosts\"\n     inherit_tags = [ \"system-name\" , \"disks-name\" ]\n\n    [[inputs.snmp.table.field]]\n       name = \"bios-version\"\n       oid = \".1.3.6.1.4.1.674.10892.5.4.300.50.1.8\"\n\n    [[inputs.snmp.table.field]]\n       name = \"raid-batterystate\"\n       oid = \".1.3.6.1.4.1.674.10892.5.5.1.20.130.15.1.4\"\n\n    [[inputs.snmp.table.field]]\n       name = \"intrusion-sensor\"\n       oid = \".1.3.6.1.4.1.674.10892.5.4.300.70.1.6\"\n\n    [[inputs.snmp.table.field]]\n       name = \"disks-mediatype\"\n       oid = \".1.3.6.1.4.1.674.10892.5.5.1.20.130.4.1.35\"\n\n    [[inputs.snmp.table.field]]\n       name = \"disks-state\"\n       oid = \".1.3.6.1.4.1.674.10892.5.5.1.20.130.4.1.4\"\n\n    [[inputs.snmp.table.field]]\n       name = \"disks-predictivefail\"\n       oid = \".1.3.6.1.4.1.674.10892.5.5.1.20.130.4.1.31\"\n\n    [[inputs.snmp.table.field]]\n       name = \"disks-capacity\"\n       oid = \".1.3.6.1.4.1.674.10892.5.5.1.20.130.4.1.11\"\n\n    [[inputs.snmp.table.field]]\n       name = \"disks-name\"\n       oid = \".1.3.6.1.4.1.674.10892.5.5.1.20.130.4.1.2\"\n       is_tag = true\n\n    [[inputs.snmp.table.field]]\n       name = \"memory-status\"\n       oid = \".1.3.6.1.4.1.674.10892.5.4.200.10.1.27\"\n\n    [[inputs.snmp.table.field]]\n       name = \"storage-status\"\n       oid = \".1.3.6.1.4.1.674.10892.5.2.3\"\n\n    [[inputs.snmp.table.field]]\n       name = \"temp-status\"\n       oid = \".1.3.6.1.4.1.674.10892.5.4.200.10.1.63\"\n\n    [[inputs.snmp.table.field]]\n       name = \"psu-status\"\n       oid = \".1.3.6.1.4.1.674.10892.5.4.200.10.1.9\"\n\n    [[inputs.snmp.table.field]]\n       name = \"log-dates\"\n       oid = \".1.3.6.1.4.1.674.10892.5.4.300.40.1.8\"\n\n    [[inputs.snmp.table.field]]\n       name = \"log-entry\"\n       oid = \".1.3.6.1.4.1.674.10892.5.4.300.40.1.5\"\n\n    [[inputs.snmp.table.field]]\n       name = \"log-severity\"\n       oid = \".1.3.6.1.4.1.674.10892.5.4.300.40.1.7\"\n\n    [[inputs.snmp.table.field]]\n       name = \"log-number\"\n       oid = \".1.3.6.1.4.1.674.10892.5.4.300.40.1.2\"\n       is_tag = true\n\n    [[inputs.snmp.table.field]]\n       name = \"nic-name\"\n       oid = \".1.3.6.1.4.1.674.10892.5.4.1100.90.1.30\"\n       is_tag = true\n\n    [[inputs.snmp.table.field]]\n       name = \"nic-vendor\"\n       oid = \".1.3.6.1.4.1.674.10892.5.4.1100.90.1.7\"\n\n    [[inputs.snmp.table.field]]\n       name = \"nic-status\"\n       oid = \".1.3.6.1.4.1.674.10892.5.4.1100.90.1.4\"\n\n    [[inputs.snmp.table.field]]\n       name = \"nic-current_mac\"\n       oid = \".1.3.6.1.4.1.674.10892.5.4.1100.90.1.15\"\n       conversion = \"hwaddr\"\n\n  [[inputs.snmp.field]]\n     name = \"fan1-speed\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.12.1.6.1.1\"\n\n  [[inputs.snmp.field]]\n     name = \"fan2-speed\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.12.1.6.1.2\"\n\n  [[inputs.snmp.field]]\n     name = \"fan3-speed\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.12.1.6.1.3\"\n\n  [[inputs.snmp.field]]\n     name = \"fan4-speed\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.12.1.6.1.4\"\n\n  [[inputs.snmp.field]]\n     name = \"fan5-speed\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.12.1.6.1.5\"\n\n  [[inputs.snmp.field]]\n     name = \"fan6-speed\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.12.1.6.1.6\"\n \n  [[inputs.snmp.field]]\n     name = \"inlet-temp\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.20.1.6.1.1\"\n\n  [[inputs.snmp.field]]\n     name = \"exhaust-temp\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.20.1.6.1.2\"\n\n  [[inputs.snmp.field]]\n     name = \"cpu1-temp\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.20.1.6.1.3\"\n\n  [[inputs.snmp.field]]\n     name = \"cpu2-temp\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.700.20.1.6.1.4\"\n\n  [[inputs.snmp.field]]\n     name = \"cmos-batterystate\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.600.50.1.6.1.1\"\n\n  [[inputs.snmp.field]]\n     name = \"system-watts\"\n     oid  = \".1.3.6.1.4.1.674.10892.5.4.600.30.1.6.1.3\"","collectorPluginList":"influxdb, snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2021-03-12T22:36:52.000Z","updatedAt":"2021-03-12T22:38:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14060"},{"rel":"revisions","href":"/dashboards/14060/revisions"},{"rel":"revision","href":"/dashboards/14060/revisions/1"},{"rel":"download","href":"/dashboards/14060/revisions/1/download"},{"rel":"org","href":"/orgs/kiwivoiceanddata"},{"rel":"images","href":"/dashboards/14060/images"},{"rel":"thumbnails","href":"/dashboards/14060/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18619,"status":1,"statusCode":"active","orgId":419705,"orgSlug":"mohammedamirk","orgName":"mohammedamirk","slug":"idrac-host-stats","downloads":306,"revisionId":28546,"revision":1,"name":"iDRAC - Host Stats","description":"SNMP Based Dashboard to Monitor Dell Hosts via iDRAC - by ilovepancakes95","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-04-27T17:59:51.000Z","updatedAt":"2023-04-27T18:14:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18619"},{"rel":"revisions","href":"/dashboards/18619/revisions"},{"rel":"revision","href":"/dashboards/18619/revisions/1"},{"rel":"download","href":"/dashboards/18619/revisions/1/download"},{"rel":"org","href":"/orgs/mohammedamirk"},{"rel":"images","href":"/dashboards/18619/images"},{"rel":"thumbnails","href":"/dashboards/18619/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21915,"status":1,"statusCode":"active","orgId":1222200,"orgSlug":"cybaen","orgName":"cybaen","slug":"idrac-host-stats","downloads":803,"revisionId":34284,"revision":2,"name":"iDRAC - Host Stats (Flux)","description":"SNMP Based Dashboard to Monitor Dell Hosts via iDRAC from orginal dashboard by ilovepancakes95 \r\nAdapted to flux by cybaen","readme":"# iDRAC - Host Stats (Flux)\r\nDashboard based on dashboard [12106](https://grafana.com/grafana/dashboards/12106-idrac-host-stats/) by [ilovepancakes95](https://grafana.com/orgs/ilovepancakes95).\r\nModified to use flux language to work natively with infuxdb v2. Also added variables for easier configuration.\r\n## Details\r\nSNMP Based Dashboard to Monitor Dell Hosts via iDRAC\r\n\r\n[Github Repository](https://github.com/Cybaen13/grafana-idrac_snmp) : please report issues or provide improvements \r\n\r\n## How To Use\r\n1. Enable SNMPv1 in the iDRACs you wish to monitor. \r\n2. Install and setup Telegraf, InfluxDB, and Grafana to work with eachother. \r\n3. Use the provided idrac-input.conf file and replace the values for “idracURLx” under “agent” with your own iDRAC IPs or hostnames. \r\n4. Restart Telegraf. \r\n5. Import the dashboard json file (or use Grafana Dashboard ID) to add the dashboard and panels to Grafana, selecting your own InfluxDB database after clicking “Import”. \r\n6. Setup the variables according to your configuration (specifically the \"bucket\" variable to replace with your bucket name). See below.\r\n### Variables description\r\n* idrac_host : list of the idrac hosts referenced in influxDB : MODIFICATION AT YOUR OWN RISKS AND PERIL\r\n* bucket : the name of the bucket to use in influxDB\r\n* hostslist_key : the data key defined in idrac-input.conf (by default \"idrac-hosts\", should not need any modification)\r\n\r\n### OS Data\r\nThe OS data part will need the installation of the  IDRAC Service module on the host os:\r\n* [Manual](https://dl.dell.com/topicspdf/dell-idrac-service-module-20_install-guide_fr-fr.pdf)\r\n* [Download](https://www.dell.com/support/home/en-us/product-support/)\r\n* [Supported Servers](https://www.dell.com/support/manuals/en-us/idrac-service-module-5.0/ism_5.3.0.0_rn_pub/supported-platforms?guid=guid-8db41623-cac0-476b-aa5a-b12acc1b86c3&lang=en-us)\r\n* [Supported OS](https://www.dell.com/support/manuals/en-us/idrac-service-module-5.0/ism_5.3.0.0_rn_pub/supported-operating-systems-and-hypervisors?guid=guid-f971f0d8-305c-45a0-9caa-8271edf809e2&lang=en-us)\r\n* [Dell Details](https://www.dell.com/support/kbdoc/en-us/000178050/support-for-dell-emc-idrac-service-module#iDRAC-Download)\r\n\r\n\r\nData may take up to 2 minutes to fully populate the first time. Enjoy!\r\n\r\n## Features\r\nSame as the original:\r\n* Uses Grafana variables to dynamically pull in all iDRACs listed in the Telegraf config file, and draw a new “row” section for each iDRAC that gets added.\r\n* Displays summary table and global status “heat” map of all iDRACs being polled.\r\n* Summary table pulls in each iDRAC URL so clicking System Name in the table brings you directly to that iDRAC’s logon page.\r\n* Panels and table cells change color to indicate failures or other status messages.\r\n* Variable selection box allows fine-tuning of which systems are displayed on the dashboard. (Default is “All”).\r\n* Each system’s section on the dashboard is dynamically drawn based on variable selection to show the following data for each host:\r\n   * Uptime, Global Status, Power State, PSU Status, CMOS Battery Status, RAID Battery Status, Storage Status, RAM Status, &     Thermal Status\r\n   * Service Tag, BIOS Version, and Intrusion Sensor Status\r\n   * OS Name and OS Version Table\r\n   * System Power (in watts) Graph\r\n   * CPU Temp Graph\r\n   * System Air Temp Graph\r\n   * Fan Speed Graph\r\n   * Physical Disk Status Table (Disk Name, Capacity, Status, Predictive Fail Alarm)\r\n   * System Log Entries Table\r\n   * Network Interfaces Table (NIC Name, Vendor, Status, MAC Address)\r\n* Adding more data is as simple as adding the appropriate iDRAC OID to the Telegraf config file, and adding a panel to display the new data on the dashboard (See below).\r\n\r\n## Build Environment\r\n* Grafana for visualization of data\r\n* Telegraf for data collection with SNMP Input Plugin\r\n* InfluxDB V2 for time series and table data storage\r\n* iDRAC with SNMP Enabled (v1)\r\n   * Tested with iDRAC 7 and iDRAC 8 on Dell Poweredge r720xd and r730xd servers by [ilovepancakes95](https://grafana.com/orgs/ilovepancakes95).\r\n   * Tested with iDRAC 8 and iDRAC 9 on Dell Poweredge r730 and r340 servers by [me](https://grafana.com/orgs/cybaen).\r\n\r\n## Adding Data and panels\r\nTo pull and use additional data, you can use the following resources:\r\n* [Dell MIB Files](https://www.dell.com/support/article/en-us/sln285502/how-to-find-dell-management-information-base-mib-files?lang=en) : The MIBs files listing the OIDs delivered by the iDRAC. The idrac-input.conf is based on it.\r\n* [MIB Browser](https://www.ireasoning.com/mibbrowser.shtml) : Browser for mibs file\r\n* [Dell EMC OpenManage SNMP Reference Guide](https://dl.dell.com/topicspdf/openmanage-software-v92_connectivity-guide_en-us.pdf) : Official SNMP reference guide for iDRAC\r\n","collectorType":"Telegraf","collectorConfig":"## Telegraf Sample Config File \r\nChange the \"idracURL1\", \"idracURL2\", etc. values to match your iDRAC IPs or Hostnames. \r\nMake sure SNMPv1 is enabled in iDRAC first. (see the readme)\r\n<code>\r\n\t[[processors.regex]]\r\n\t  [[processors.regex.fields]]\r\n\t\tkey = \"log-dates\"\r\n\t\tpattern = \"^(?P<YYYY>\\\\d{4})(?P<MM>\\\\d{2})(?P<DD>\\\\d{2})(?P<HH>\\\\d{2})(?P<mm>\\\\d{2})(?P<ss>\\\\d{2})\\\\.(?P<SSSSSS>\\\\d{6})(?P<ZZ>[-+]\\\\d{3,4})$\"\r\n\t\treplacement = \"${YYYY}-${MM}-${DD} ${HH}:${mm}:${ss}\"\r\n\r\n\t[[inputs.snmp]]\r\n\t  agents = [ \"idracURL1:161\" , \"idracURL2:161\" , \"idracURL3:161\" ]\r\n\t  version = 1\r\n\t  community = \"public\"\r\n\t  name = \"idrac-hosts\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"system-name\"\r\n\t\t oid  = \".1.3.6.1.2.1.1.5.0\"\r\n\t\t is_tag = true\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"system-osname\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.1.3.6.0\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"system-osversion\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.1.3.14.0\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"system-model\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.1.3.12.0\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"idrac-url\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.1.1.6.0\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"power-state\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.2.4.0\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"system-uptime\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.2.5.0\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"system-servicetag\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.1.3.2.0\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"system-globalstatus\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.2.1.0\"\r\n\r\n\t  [[inputs.snmp.table]]\r\n\t\t name = \"idrac-hosts\"\r\n\t\t inherit_tags = [ \"system-name\" , \"disks-name\" ]\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"bios-version\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.4.300.50.1.8\"\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"raid-batterystate\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.5.1.20.130.15.1.4\"\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"intrusion-sensor\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.4.300.70.1.6\"\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"disks-mediatype\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.5.1.20.130.4.1.35\"\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"disks-state\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.5.1.20.130.4.1.4\"\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"disks-predictivefail\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.5.1.20.130.4.1.31\"\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"disks-capacity\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.5.1.20.130.4.1.11\"\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"disks-name\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.5.1.20.130.4.1.2\"\r\n\t\t   is_tag = true\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"memory-status\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.4.200.10.1.27\"\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"storage-status\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.2.3\"\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"temp-status\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.4.200.10.1.63\"\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"psu-status\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.4.200.10.1.9\"\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"log-dates\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.4.300.40.1.8\"\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"log-entry\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.4.300.40.1.5\"\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"log-severity\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.4.300.40.1.7\"\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"log-number\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.4.300.40.1.2\"\r\n\t\t   is_tag = true\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"nic-name\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.4.1100.90.1.30\"\r\n\t\t   is_tag = true\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"nic-vendor\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.4.1100.90.1.7\"\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"nic-status\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.4.1100.90.1.4\"\r\n\r\n\t\t[[inputs.snmp.table.field]]\r\n\t\t   name = \"nic-current_mac\"\r\n\t\t   oid = \".1.3.6.1.4.1.674.10892.5.4.1100.90.1.15\"\r\n\t\t   conversion = \"hwaddr\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"fan1-speed\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.4.700.12.1.6.1.1\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"fan2-speed\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.4.700.12.1.6.1.2\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"fan3-speed\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.4.700.12.1.6.1.3\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"fan4-speed\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.4.700.12.1.6.1.4\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"fan5-speed\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.4.700.12.1.6.1.5\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"fan6-speed\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.4.700.12.1.6.1.6\"\r\n\t \r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"inlet-temp\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.4.700.20.1.6.1.1\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"exhaust-temp\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.4.700.20.1.6.1.2\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"cpu1-temp\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.4.700.20.1.6.1.3\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"cpu2-temp\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.4.700.20.1.6.1.4\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"cmos-batterystate\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.4.600.50.1.6.1.1\"\r\n\r\n\t  [[inputs.snmp.field]]\r\n\t\t name = \"system-watts\"\r\n\t\t oid  = \".1.3.6.1.4.1.674.10892.5.4.600.30.1.6.1.3\"\r\n</code>","collectorPluginList":"influxdb, snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2024-09-14T17:07:51.000Z","updatedAt":"2024-09-16T13:01:17.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21915"},{"rel":"revisions","href":"/dashboards/21915/revisions"},{"rel":"revision","href":"/dashboards/21915/revisions/2"},{"rel":"download","href":"/dashboards/21915/revisions/2/download"},{"rel":"org","href":"/orgs/cybaen"},{"rel":"images","href":"/dashboards/21915/images"},{"rel":"thumbnails","href":"/dashboards/21915/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13689,"status":1,"statusCode":"active","orgId":234141,"orgSlug":"mephisto","orgName":"mephisto","slug":"idrac-ipmi","downloads":682,"revisionId":19984,"revision":1,"name":"iDrac IPMI","description":"IPMI Server Performance Metrics","readme":"Basic Health Dashboard for iDrac enabled Dell Servers.\r\n\r\nThis one was tested on a Dell R610 and the ipmi Values that it provides. Newer ipmi generations might provide even more useful insights.\r\n\r\nYou might want to adjust the Alert Channel on the temperature Graph.","collectorType":"Telegraf","collectorConfig":"`/etc/telegraf/telegraf.d/idrac.conf`\r\n\r\n```\r\n[[inputs.ipmi_sensor]]\r\n   ## optionally specify the path to the ipmitool executable\r\n   # path = \"/usr/bin/ipmitool\"\r\n   ##\r\n   ## optionally force session privilege level. 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#IncludeTotal=false #Set to true to include _Total instance when querying for all (*).\n\n  [[inputs.win_perf_counters.object]]\n    # Web Service Cache / IIS\n    ObjectName = \"Web Service Cache\"\n    Counters = [\"URI Cache Hits %\",\"Kernel: URI Cache Hits %\",\"File Cache Hits %\"]\n    Instances = [\"*\"]\n    Measurement = \"win_websvc_cache\"\n    #IncludeTotal=false #Set to true to include _Total instance when querying for all (*).\n```\n","collectorPluginList":"win_perf_counters 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\"1s\"\r\n  data_format = \"influx\"\r\n```\r\n\r\n\r\nnetstat-nat.awk\r\n```\r\nBEGIN {\r\n        counts[\"ESTABLISHED\"]=0\r\n        counts[\"SYN_SENT\"]=0\r\n        counts[\"SYN_RECV\"]=0\r\n        counts[\"FIN_WAIT1\"]=0\r\n        counts[\"FIN_WAIT2\"]=0\r\n        counts[\"TIME_WAIT\"]=0\r\n        counts[\"CLOSE\"]=0\r\n        counts[\"CLOSE_WAIT\"]=0\r\n        counts[\"LAST_ACK\"]=0\r\n        counts[\"LISTEN\"]=0\r\n        counts[\"CLOSING\"]=0\r\n        counts[\"NONE\"]=0\r\n        counts[\"UDP\"]=0\r\n        counts[\"ICMP\"]=0\r\n\r\n};\r\n\r\n{\r\n        if ($3 == \"tcp\") { counts[$6]++ };\r\n        if ($3 == \"udp\") { counts[\"UDP\"]++ };\r\n        if ($3 == \"icmp\") { counts[\"ICMP\"]++ };\r\n};\r\n\r\nEND {\r\n        print  \"netstat-nat tcp_established=\"counts[\"ESTABLISHED\"]\"i,\"  \\\r\n               \"tcp_syn_sent=\"counts[\"SYN_SENT\"]\"i,\"                    \\\r\n               \"tcp_syn_recv=\"counts[\"SYN_RECV\"]\"i,\"                    \\\r\n               \"tcp_fin_wait1=\"counts[\"FIN_WAIT1\"]\"i,\"                  \\\r\n               \"tcp_fin_wait2=\"counts[\"FIN_WAIT2\"]\"i,\"                  \\\r\n               \"tcp_time_wait=\"counts[\"TIME_WAIT\"]\"i,\"                  \\\r\n               \"tcp_close=\"counts[\"CLOSE\"]\"i,\"                          \\\r\n               \"tcp_close_wait=\"counts[\"CLOSE_WAIT\"]\"i,\"                \\\r\n               \"tcp_last_ack=\"counts[\"LAST_ACK\"]\"i,\"                    \\\r\n               \"tcp_listen=\"counts[\"LISTEN\"]\"i,\"                        \\\r\n               \"tcp_closing=\"counts[\"CLOSING\"]\"i,\"                      \\\r\n               \"tcp_none=\"counts[\"NONE\"]\"i,\"                            \\\r\n               \"udp_socket=\"counts[\"UDP\"]\"i,\"                           \\\r\n               \"icmp=\"counts[\"ICMP\"]\"i\"                                 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[[inputs.disk]]\n\n# Read metrics about disk IO by device\n\n    [[inputs.diskio]]\n\n\n    [[inputs.io]]\n\n\n# Get kernel statistics from /proc/stat\n\n    [[inputs.kernel]]\n\n\n# Read metrics about memory usage\n\n    [[inputs.mem]]\n\n# Get the number of processes and group them by status\n\n    [[inputs.processes]]\n\n# Read metrics about swap memory usage\n\n    [[inputs.swap]]\n\n# Read metrics about system load & uptime\n\n    [[inputs.system]]\n\n# Read stats about given file(s)\n\n    [[inputs.filestat]]\n\n\n# Read formatted metrics from one or more HTTP endpoints\n \n    [[inputs.http]]\n\n\n\n # Collect statistics about itself\n  \n    [[inputs.internal]]\n\n\n\n # This plugin gathers interrupts data from /proc/interrupts and /proc/softirqs.\n \n    [[inputs.interrupts]]\n\n\n\n # Collect virtual and real server stats from Linux IPVS\n\n     [[inputs.ipvs]]\n\n # Get kernel statistics from /proc/vmstat\n\n     [[inputs.kernel_vmstat]]\n\n\n# Provides Linux sysctl fs metrics\n\n     [[inputs.linux_sysctl_fs]]\n\n\n\n\n # Aggregates the contents of multiple files into a single point\n \n    [[inputs.multifile]]\n\n\n\n # Read metrics about network interface usage\n \n    [[inputs.net]]\n\n\n\n # Collect response time of a TCP or UDP connection\n\n     [[inputs.net_response]]\n\n\n\n # Read TCP metrics such as established, time wait and sockets counts.\n\n    [[inputs.netstat]]\n\n\n\n # Collect kernel snmp counters and network interface statistics\n\n    [[inputs.nstat]]\n\n    [[inputs.synproxy]]\n\n\n # Monitor process cpu and memory usage\n \n    [[inputs.procstat]]\n\n    pattern = \"httpd|java|python|telegraf|tomcat8|htop|apache2|www-data\"\n\n\n    user = \"daemon|root|telegraf|www-data|tomcat8\"\n\n\n # Sysstat metrics collector\n\n    \n    [[inputs.sysstat]]\n\n\n\n # Gather systemd units state\n \n    [[inputs.systemd_units]]\n\n\n\n\n # Read metrics of ZFS from arcstats, zfetchstats, vdev_cache_stats, and pools\n \n    [[inputs.zfs]]\n\n\n\n\n","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-03-16T11:21:00.000Z","updatedAt":"2020-03-16T11:46:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11912"},{"rel":"revisions","href":"/dashboards/11912/revisions"},{"rel":"revision","href":"/dashboards/11912/revisions/1"},{"rel":"download","href":"/dashboards/11912/revisions/1/download"},{"rel":"org","href":"/orgs/chemitata10"},{"rel":"images","href":"/dashboards/11912/images"},{"rel":"thumbnails","href":"/dashboards/11912/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":317,"status":1,"statusCode":"active","orgId":25587,"orgSlug":"sstarcher","orgName":"Shane Starcher","slug":"influxdb-metrics","downloads":9839,"revisionId":413,"revision":1,"name":"InfluxDB Metrics","description":"metrics on influxdb from telegraf","readme":"Github - https://github.com/sstarcher/grafana-dashboards\r\n\r\nInternal InfluxDB metrics pulled from telegraf.\r\n\r\n* https://github.com/influxdata/telegraf/tree/master/plugins/inputs/influxdb","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2016-08-13T17:59:14.000Z","updatedAt":"2016-09-21T14:29:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/317"},{"rel":"revisions","href":"/dashboards/317/revisions"},{"rel":"revision","href":"/dashboards/317/revisions/1"},{"rel":"download","href":"/dashboards/317/revisions/1/download"},{"rel":"org","href":"/orgs/sstarcher"},{"rel":"images","href":"/dashboards/317/images"},{"rel":"thumbnails","href":"/dashboards/317/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10625,"status":1,"statusCode":"active","orgId":269257,"orgSlug":"meseguerjp","orgName":"meseguerjp","slug":"influxdb-metrics","downloads":375,"revisionId":14840,"revision":1,"name":"InfluxDB Metrics","description":"metrics on influxdb from telegraf","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-07-28T18:02:13.000Z","updatedAt":"2019-07-28T18:06:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10625"},{"rel":"revisions","href":"/dashboards/10625/revisions"},{"rel":"revision","href":"/dashboards/10625/revisions/1"},{"rel":"download","href":"/dashboards/10625/revisions/1/download"},{"rel":"org","href":"/orgs/meseguerjp"},{"rel":"images","href":"/dashboards/10625/images"},{"rel":"thumbnails","href":"/dashboards/10625/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16240,"status":1,"statusCode":"active","orgId":642927,"orgSlug":"mfiketzg","orgName":"mfiketzg","slug":"influxdb-metrics","downloads":296,"revisionId":24672,"revision":1,"name":"InfluxDB Metrics","description":"metrics on influxdb from telegraf","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-05-07T07:36:30.000Z","updatedAt":"2022-05-07T07:37:49.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16240"},{"rel":"revisions","href":"/dashboards/16240/revisions"},{"rel":"revision","href":"/dashboards/16240/revisions/1"},{"rel":"download","href":"/dashboards/16240/revisions/1/download"},{"rel":"org","href":"/orgs/mfiketzg"},{"rel":"images","href":"/dashboards/16240/images"},{"rel":"thumbnails","href":"/dashboards/16240/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21840,"status":1,"statusCode":"active","orgId":969127,"orgSlug":"linshengxing30","orgName":"linshengxing30","slug":"influxdb-metrics","downloads":333,"revisionId":34177,"revision":1,"name":"InfluxDB Metrics","description":"metrics on influxdb from telegraf","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-09-06T03:35:47.000Z","updatedAt":"2024-09-06T03:36:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21840"},{"rel":"revisions","href":"/dashboards/21840/revisions"},{"rel":"revision","href":"/dashboards/21840/revisions/1"},{"rel":"download","href":"/dashboards/21840/revisions/1/download"},{"rel":"org","href":"/orgs/linshengxing30"},{"rel":"images","href":"/dashboards/21840/images"},{"rel":"thumbnails","href":"/dashboards/21840/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24536,"status":1,"statusCode":"active","orgId":1523659,"orgSlug":"alexgdmx","orgName":"alexgdmx","slug":"influxdb-metrics","downloads":36,"revisionId":39282,"revision":1,"name":"InfluxDB metrics, zLinux, z/VM LinuxOne","description":"InfluxDB Metrics, zLinux, z/VM LinuxOne","readme":"InfluxDB metrics, zLinux, z/VM LinuxOne","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-12-09T20:28:18.000Z","updatedAt":"2025-12-09T20:29:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24536"},{"rel":"revisions","href":"/dashboards/24536/revisions"},{"rel":"revision","href":"/dashboards/24536/revisions/1"},{"rel":"download","href":"/dashboards/24536/revisions/1/download"},{"rel":"org","href":"/orgs/alexgdmx"},{"rel":"images","href":"/dashboards/24536/images"},{"rel":"thumbnails","href":"/dashboards/24536/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20294,"status":1,"statusCode":"active","orgId":1029466,"orgSlug":"priyaranjanmudliar","orgName":"priyaranjanmudliar","slug":"influxdb-oss-server-stats","downloads":338,"revisionId":31284,"revision":1,"name":"InfluxDB OSS Server Stats","description":"The commonly monitored metrics from the built-in `_internal` database of InfluxDB OSS.","readme":"InfluxDB OSS Server Stats","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-01-13T23:00:07.000Z","updatedAt":"2024-01-13T23:18:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/20294"},{"rel":"revisions","href":"/dashboards/20294/revisions"},{"rel":"revision","href":"/dashboards/20294/revisions/1"},{"rel":"download","href":"/dashboards/20294/revisions/1/download"},{"rel":"org","href":"/orgs/priyaranjanmudliar"},{"rel":"images","href":"/dashboards/20294/images"},{"rel":"thumbnails","href":"/dashboards/20294/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10346,"status":1,"statusCode":"active","orgId":257516,"orgSlug":"satotka","orgName":"satotka","slug":"influxdb-oss-stats-monitoring-dashboard","downloads":2368,"revisionId":14704,"revision":3,"name":"InfluxDB OSS Stats monitoring dashboard","description":"The commonly monitored metrics from the built-in `_internal` database of InfluxDB OSS.","readme":"## About this dashboard\r\n\r\nThe commonly monitored metrics from the built-in ```_internal``` database of InfluxDB OSS. \r\n\r\nSee: [https://docs.influxdata.com/platform/monitoring/influxdata-platform/monitoring-dashboards/dashboard-oss-monitoring](https://docs.influxdata.com/platform/monitoring/influxdata-platform/monitoring-dashboards/dashboard-oss-monitoring)\r\n\r\nPlease create new DataSource for ```_internal``` database.\r\n\r\n## Metrics\r\n\r\n- HTTP Requests / Minute\r\n- HTTP Request Duration (99th %)\r\n- Continuous Queries Executed / Minute\r\n- Heap Size\r\n- Shard Write Errors\r\n- Point Throughput / Minute by Hostname\r\n- HTTP Requests / Minute\r\n- Queries Executed / Minute\r\n- Series Cardinality by Database\r\n- Number of Measurements by Database\r\n\r\n## Setup\r\n\r\nCreate the Data Source for _internal of influxDB.\r\n\r\n- Select Type: influxdb\r\n- Data Source Naming with ```_internal```. like ```InfluxDB(_internal)```\r\n- InfluxDB Details:\r\n     - Database: ```_internal```\r\n\r\n## History\r\n\r\n- Rev.3\r\n    - add hostname variable.\r\n- Rev.2\r\n    - Group with hostname and show on legend. \r\n    - Add description for each panels.\r\n    - Add link for grafana.com.\r\n- Rev.1 Initial version.\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-06-15T03:44:35.000Z","updatedAt":"2019-07-11T10:54:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10346"},{"rel":"revisions","href":"/dashboards/10346/revisions"},{"rel":"revision","href":"/dashboards/10346/revisions/3"},{"rel":"download","href":"/dashboards/10346/revisions/3/download"},{"rel":"org","href":"/orgs/satotka"},{"rel":"images","href":"/dashboards/10346/images"},{"rel":"thumbnails","href":"/dashboards/10346/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13109,"status":1,"statusCode":"active","orgId":423519,"orgSlug":"kumar2","orgName":"kumar2","slug":"influxdb-oss-overview","downloads":2740,"revisionId":19037,"revision":1,"name":"InfluxDB Overview","description":"A beautiful one-stop-shop dashboard to monitor ALL your Influx instances. Both Influx specific metrics, as well key OS metrics.","readme":"# InfluxDB Overview\n\nThis dashboard *extends* the original OSS stats dashboard (https://docs.influxdata.com/platform/monitoring/influxdata-platform/monitoring-dashboards/).\n\nIt is meant to be a standalone dashboard that monitors **everything** related to InfluxDB, including important OS metrics. So you can get all the info in a single page. \n\n## Instructions\n1. Since the dashboard uses a template variable for the datasource, you need to have an InfluxDB Grafana Datasource using the \"_internal\" db. The name you give to this datasource **must contain \"internal\", or \"Internal\" somewhere in it** to be picked up the the template variable $datasource, if it isn't then you'll need to adjust the regex accordingly in the dashboard settings > variables. Current regex: /[Ii]nternal/.\n2. There are also a few panels using Telegraf OS metrics collector using the default \"telegraf\" db.  This is optional but I highly recommend you do this since it has saved me a few times.\n\n\nI hope this made using Influx a little more enjoyable. I use this to monitor multiple InfluxDB instances hosted on different base OSes, this dashboard cover all of my needs. Thank you!","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-10-06T14:14:08.000Z","updatedAt":"2020-10-06T16:46:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13109"},{"rel":"revisions","href":"/dashboards/13109/revisions"},{"rel":"revision","href":"/dashboards/13109/revisions/1"},{"rel":"download","href":"/dashboards/13109/revisions/1/download"},{"rel":"org","href":"/orgs/kumar2"},{"rel":"images","href":"/dashboards/13109/images"},{"rel":"thumbnails","href":"/dashboards/13109/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20266,"status":1,"statusCode":"active","orgId":816889,"orgSlug":"vincentgou1","orgName":"vincent-gou","slug":"influxdb-schema-details","downloads":394,"revisionId":31237,"revision":1,"name":"InfluxDB Schema Explorer","description":"InfluxDB schema explorer with Flux, csv export functionnality, tag values filtering","readme":"Import dashboard in Grafana instance with already set InfluxDB datasources with Flux query Language.\r\n\r\nDashbaord will detect InfluxDB datasources and detect tags and fields values.\r\n\r\nYou can explore local InfluxDB datasources or remote ones.\r\n\r\nYou can also save as CSV data returned in tags filters.\r\n\r\nSee github repo for further informations or enhancements: https://github.com/vincent-gou/grafana-influxdb-explorer","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-01-08T14:59:39.000Z","updatedAt":"2024-01-08T15:15:02.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20266"},{"rel":"revisions","href":"/dashboards/20266/revisions"},{"rel":"revision","href":"/dashboards/20266/revisions/1"},{"rel":"download","href":"/dashboards/20266/revisions/1/download"},{"rel":"org","href":"/orgs/vincentgou1"},{"rel":"images","href":"/dashboards/20266/images"},{"rel":"thumbnails","href":"/dashboards/20266/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":5448,"status":1,"statusCode":"active","orgId":113592,"orgSlug":"cdn77com","orgName":"cdn77com","slug":"influxdb-stats","downloads":1543,"revisionId":7272,"revision":1,"name":"InfluxDB stats","description":"Influxdb stats from Prometheus","readme":"Dashboard for metrics exported from [Influxdb stats Exporter](https://github.com/carlpett/influxdb_stats_exporter)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-04-05T13:44:02.000Z","updatedAt":"2018-04-05T13:46:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5448"},{"rel":"revisions","href":"/dashboards/5448/revisions"},{"rel":"revision","href":"/dashboards/5448/revisions/1"},{"rel":"download","href":"/dashboards/5448/revisions/1/download"},{"rel":"org","href":"/orgs/cdn77com"},{"rel":"images","href":"/dashboards/5448/images"},{"rel":"thumbnails","href":"/dashboards/5448/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13022,"status":1,"statusCode":"active","orgId":338944,"orgSlug":"chemitata10","orgName":"Chema10","slug":"windows-server","downloads":1849,"revisionId":18849,"revision":2,"name":"InfluxDB Windows Server Telegraf","description":"All info Server Windows\n\nInfluxDB , Telegraf, Windows ","readme":"Config Telegraf.conf\npath: C:\\Program Files\\Telegraf\n\n###############################################################################\n#                            INPUT PLUGINS                                    #\n###############################################################################\n\n# Read metrics about cpu usage\n\n    [[inputs.cpu]]\n\n      ## Whether to report per-cpu stats or not\n \n     percpu = true\n\n      ## Whether to report total system cpu stats or not\n  \n    totalcpu = true\n\n      ## If true, collect raw CPU time metrics.\n \n     collect_cpu_time = false\n  ## If true, compute and report the sum of all non-idle CPU states.\n\n      report_active = false\n\n      fielddrop = [\"time_guest\",\"time_guest_nice\",\"time_irq\",\"time_nice\",\"time_softirq\",\"time_steal\",\"usage_guest\",\"usage_guest_nice\",\"usage_irq\",\"usage_nice\",\"usage_softirq\",\"usage_steal\"]\n\n\n# Read metrics about disk usage by mount point\n\n    [[inputs.disk]]\n\n# Read metrics about disk IO by device\n\n    [[inputs.diskio]]\n\n    [[inputs.io]]\n\n# Get kernel statistics from /proc/stat\n\n    [[inputs.kernel]]\n\n# Read metrics about memory usage\n\n    [[inputs.mem]]\n\n# Get the number of processes and group them by status\n\n    [[inputs.processes]]\n\n# Read metrics about swap memory usage\n\n    [[inputs.swap]]\n\n# Read metrics about system load & uptime\n\n    [[inputs.system]]\n\n# Read stats about given file(s)\n\n    [[inputs.filestat]]\n\n# Read formatted metrics from one or more HTTP endpoints\n \n    [[inputs.http]]\n\n # Collect statistics about itself\n  \n    [[inputs.internal]]\n\n\n\n # This plugin gathers interrupts data from /proc/interrupts and /proc/softirqs.\n \n    [[inputs.interrupts]]\n\n # Collect virtual and real server stats from Linux IPVS\n\n     [[inputs.ipvs]]\n\n # Get kernel statistics from /proc/vmstat\n\n     [[inputs.kernel_vmstat]]\n\n\n# Provides Linux sysctl fs metrics\n\n     [[inputs.linux_sysctl_fs]]\n\n\n\n\n # Aggregates the contents of multiple files into a single point\n \n    [[inputs.multifile]]\n\n\n\n # Read metrics about network interface usage\n \n    [[inputs.net]]\n\n\n\n # Collect response time of a TCP or UDP connection\n\n     [[inputs.net_response]]\n\n\n\n # Read TCP metrics such as established, time wait and sockets counts.\n\n    [[inputs.netstat]]\n\n\n\n # Collect kernel snmp counters and network interface statistics\n\n    [[inputs.nstat]]\n\n    [[inputs.synproxy]]\n\n\n # Monitor process cpu and memory usage\n \n    [[inputs.procstat]]\n\n    pattern = \"httpd|java|python|telegraf|tomcat8|htop|apache2|www-data\"\n\n\n    user = \"daemon|root|telegraf|www-data|tomcat8\"\n\n\n # Sysstat metrics collector\n\n    \n    [[inputs.sysstat]]\n\n\n\n # Gather systemd units state\n \n    [[inputs.systemd_units]]\n\n\n\n\n # Read metrics of ZFS from arcstats, zfetchstats, vdev_cache_stats, and pools\n \n    [[inputs.zfs]]\n\n\n","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-09-16T15:08:38.000Z","updatedAt":"2020-09-16T15:50:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":5,"reviewsAvgRating":4.2,"links":[{"rel":"self","href":"/dashboards/13022"},{"rel":"revisions","href":"/dashboards/13022/revisions"},{"rel":"revision","href":"/dashboards/13022/revisions/2"},{"rel":"download","href":"/dashboards/13022/revisions/2/download"},{"rel":"org","href":"/orgs/chemitata10"},{"rel":"images","href":"/dashboards/13022/images"},{"rel":"thumbnails","href":"/dashboards/13022/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10099,"status":1,"statusCode":"active","orgId":248231,"orgSlug":"wzq425452267","orgName":"zq wang","slug":"flink-status-jobs","downloads":952,"revisionId":14443,"revision":3,"name":"influxDB-flink","description":"flink in influxDB","readme":"Flink metrics in YARN mode. 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\n\n[https://www.inmanta.com](https://www.inmanta.com)\n\n[https://github.com/inmanta/inmanta](https://github.com/inmanta/inmanta)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-04-23T13:40:02.000Z","updatedAt":"2019-04-23T13:47:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10089"},{"rel":"revisions","href":"/dashboards/10089/revisions"},{"rel":"revision","href":"/dashboards/10089/revisions/1"},{"rel":"download","href":"/dashboards/10089/revisions/1/download"},{"rel":"org","href":"/orgs/wouterdb"},{"rel":"images","href":"/dashboards/10089/images"},{"rel":"thumbnails","href":"/dashboards/10089/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22243,"status":1,"statusCode":"active","orgId":247816,"orgSlug":"wouterdb","orgName":"Wouter De Borger","slug":"inmanta-api-performance-prometheus","downloads":255,"revisionId":34956,"revision":2,"name":"Inmanta API Performance Prometheus","description":"","readme":"To use this dashboard:\r\n\r\n1. set up prometheus\r\n2. set up telegraf to report to prometheus\r\n```\r\n[[outputs.http]]\r\n  url = \"http://myprometheus:9090/api/v1/push\"\r\n  data_format = \"prometheusremotewrite\"\r\n```\r\n3. set up telegraf to listen for influxdb inputs\r\n```\r\n[[inputs.influxdb_listener]]\r\n  ## Address and port to host HTTP listener on\r\n  service_address = \":8186\"\r\n```\r\n4. connect inmanta to telegraf\r\n[influxdb]\r\n# The hostname of the influxdb server\r\n# Enable metering by setting this value\r\nhost = 127.0.0.1 \r\n# The port of the influxdb server\r\nport = 8186\r\n# The name of the database on the influxdb server, ignored by prometheus\r\nname = inmanta\r\n# A dict of tags to attach to all influxdb records\r\ntags= host=myhost\r\n\r\n[server]\r\n\r\n","collectorType":"Telegraf","collectorConfig":"[[inputs.influxdb_listener]]\r\n  ## Address and port to host HTTP listener on\r\n  service_address = \":8186\"\r\n\r\n[[outputs.http]]\r\n  url = \"http://myprometheus:9090/api/v1/push\"\r\n  data_format = \"prometheusremotewrite\"","collectorPluginList":"influxdb, 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Metrics which are related to a concrete **business context** as well as pure **technical metrics** like CPU utilization or response times are shown in this dashboard.\r\n\r\nUsing Continuous Queries error rates of web interfaces can also be displayed.\r\n\r\n## Prerequisites\r\nTo get the best experience from this dashboard, the following Continuous Queries have to be added to the used InfluxDB.\r\n\r\n- CREATE CONTINUOUS QUERY cq_c_ok ON inspectit BEGIN SELECT count(\"duration\") AS count_ok INTO inspectit.autogen.cq_stats FROM inspectit.autogen.businessTransactions WHERE httpResponseCode < 400 GROUP BY time(1m), businessTxName END\r\n- CREATE CONTINUOUS QUERY cq_c_total ON inspectit BEGIN SELECT count(\"duration\") AS count_total INTO inspectit.autogen.cq_stats FROM inspectit.autogen.businessTransactions GROUP BY time(1m), businessTxName END\r\n- CREATE CONTINUOUS QUERY cq_ok_ratio ON inspectit BEGIN SELECT max(count_ok) / max(count_total) AS ratio_ok INTO inspectit.autogen.cq_stats FROM inspectit.autogen.cq_stats GROUP BY time(1m), businessTxName END","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-03-15T15:07:11.000Z","updatedAt":"2017-04-25T12:50:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1691"},{"rel":"revisions","href":"/dashboards/1691/revisions"},{"rel":"revision","href":"/dashboards/1691/revisions/4"},{"rel":"download","href":"/dashboards/1691/revisions/4/download"},{"rel":"org","href":"/orgs/inspectit"},{"rel":"images","href":"/dashboards/1691/images"},{"rel":"thumbnails","href":"/dashboards/1691/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10140,"status":1,"statusCode":"active","orgId":38089,"orgSlug":"inspectit","orgName":"inspectit","slug":"inspectit-agent-self-monitoring","downloads":634,"revisionId":17472,"revision":6,"name":"inspectIT Agent Self-Monitoring","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-05-03T08:58:35.000Z","updatedAt":"2020-05-07T14:39:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10140"},{"rel":"revisions","href":"/dashboards/10140/revisions"},{"rel":"revision","href":"/dashboards/10140/revisions/6"},{"rel":"download","href":"/dashboards/10140/revisions/6/download"},{"rel":"org","href":"/orgs/inspectit"},{"rel":"images","href":"/dashboards/10140/images"},{"rel":"thumbnails","href":"/dashboards/10140/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10143,"status":1,"statusCode":"active","orgId":38089,"orgSlug":"inspectit","orgName":"inspectit","slug":"inspectit-agent-self-monitoring","downloads":394,"revisionId":17477,"revision":5,"name":"inspectIT Agent Self-Monitoring","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-05-03T09:10:37.000Z","updatedAt":"2020-05-07T14:41:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10143"},{"rel":"revisions","href":"/dashboards/10143/revisions"},{"rel":"revision","href":"/dashboards/10143/revisions/5"},{"rel":"download","href":"/dashboards/10143/revisions/5/download"},{"rel":"org","href":"/orgs/inspectit"},{"rel":"images","href":"/dashboards/10143/images"},{"rel":"thumbnails","href":"/dashboards/10143/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9603,"status":1,"statusCode":"active","orgId":38089,"orgSlug":"inspectit","orgName":"inspectit","slug":"jvm-metrics","downloads":394,"revisionId":13297,"revision":1,"name":"inspectIT Ocelot - 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The dashboard represents CryptoMb TLS acceleration and how it works in action.","readme":"Istio uses Envoy as sidecar to handle secure connections and intercept traffic. Depending on use cases, when an Istio Ingress Gateway must handle a large number of incoming TLS and secure service-to-service connections through sidecar proxies, the load on Envoy increases. The potential performance depends on many factors, such as size of the cpuset on which Envoy is running, incoming traffic patterns, and key size. These factors can impact Envoy serving many new incoming TLS requests.\r\nTo achieve performance improvements and accelerated handshakes, a new CryptoMb feature was introduced in Envoy 1.20 and Istio 1.14.\r\n\r\nPrometheus data source includes Istiod and Envoy metric to visualize CryptoMb features. Grafana visualizes all important data of CryptoMb such as buckets utilization, envoy listener requests, envoy listener handshakes, current envoy TLS connections. In addition, the dashboard includes cpu and memory utilization graphs for Istio Ingress Gateway and Kubernetes Nodes. \r\nMore info about cryptomb is in Istio documentation:\r\nhttps://istio.io/latest/docs/reference/config/istio.mesh.v1alpha1/#PrivateKeyProvider-CryptoMb","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-07-14T18:06:10.000Z","updatedAt":"2022-07-14T18:46:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16579"},{"rel":"revisions","href":"/dashboards/16579/revisions"},{"rel":"revision","href":"/dashboards/16579/revisions/1"},{"rel":"download","href":"/dashboards/16579/revisions/1/download"},{"rel":"org","href":"/orgs/chipsozavr"},{"rel":"images","href":"/dashboards/16579/images"},{"rel":"thumbnails","href":"/dashboards/16579/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23251,"status":1,"statusCode":"active","orgId":1276879,"orgSlug":"matthieusb","orgName":"matthieusb","slug":"intel-gpu-metrics","downloads":772,"revisionId":36851,"revision":1,"name":"Intel GPU Metrics","description":"Intel GPU Metrics based on the prometheus metrics from https://github.com/onedr0p/intel-gpu-exporter","readme":"This dashboard works for Intel Arc cards or Intel iGPUs, however it has only been configured for one GPU at a time.\r\nThe objective was to provide a dashboard with a prometheus source, since those available in Grafana labs mostly use InfluxDB.\r\n\r\nTo configure it correctly, you can use the following docker compose file:\r\n\r\n```\r\nservices:\r\n  intel-gpu-exporter:\r\n    image: ghcr.io/onedr0p/intel-gpu-exporter:rolling\r\n    container_name: intel-gpu-exporter\r\n    restart: unless-stopped\r\n    privileged: true\r\n    pid: host\r\n    ports:\r\n      - \"8081:8080\"\r\n    volumes:\r\n      - /dev/dri/:/dev/dri/\r\n```\r\n\r\nAnd then. in your prometheus scrapers configuration:\r\n```\r\n  # Intel GPU exporter\r\n  - job_name: 'intel-gpu' # The job name is hardcoded  into the dashboard, \r\n    #scrape_interval: 5s\r\n    static_configs:\r\n      - targets: [ 'host.docker.internal:8081' ]\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-15T08:07:05.000Z","updatedAt":"2025-05-30T21:41:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23251"},{"rel":"revisions","href":"/dashboards/23251/revisions"},{"rel":"revision","href":"/dashboards/23251/revisions/1"},{"rel":"download","href":"/dashboards/23251/revisions/1/download"},{"rel":"org","href":"/orgs/matthieusb"},{"rel":"images","href":"/dashboards/23251/images"},{"rel":"thumbnails","href":"/dashboards/23251/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23091,"status":1,"statusCode":"active","orgId":1376881,"orgSlug":"chrislimk","orgName":"chrislimk","slug":"intel-gpu-stats","downloads":266,"revisionId":36480,"revision":2,"name":"Intel GPU Stats","description":"Intel GPU utilization and stats via intel_gpu_top, Telegraf, and InfluxDBv2","readme":"Prerequisites\r\n- intel_gpu_top on host to be monitored (apt install intel-gpu-tools)\r\n- Create bucket name in influxdb2 called \"intelgputop\"\r\n- Get an API key from influxdb2\r\n- If you are running SRIOV GPU, install intel_gpu_top will only produce metrics on the host machine \r\n\r\nRevision notes\r\n1. First release\r\n2. Includes GPU power and also stats for SRIOV implementation","collectorType":"Telegraf","collectorConfig":"Install telegraf\r\n```\r\ncurl --silent --location -O \\\r\nhttps://repos.influxdata.com/influxdata-archive.key \\\r\n&& echo \"943666881a1b8d9b849b74caebf02d3465d6beb716510d86a39f6c8e8dac7515  influxdata-archive.key\" \\\r\n| sha256sum -c - && cat influxdata-archive.key \\\r\n| gpg --dearmor \\\r\n| sudo tee /etc/apt/trusted.gpg.d/influxdata-archive.gpg > /dev/null \\\r\n&& echo 'deb [signed-by=/etc/apt/trusted.gpg.d/influxdata-archive.gpg] https://repos.influxdata.com/debian stable main' \\\r\n| sudo tee /etc/apt/sources.list.d/influxdata.list\r\nsudo apt-get update && sudo apt-get install telegraf\r\n```\r\n\r\nCreate script file\r\n```\r\nnano /etc/telegraf/intel_gpu_top.sh\r\n```\r\n```\r\n#!/bin/sh\r\nJSON=$(/usr/bin/timeout --preserve-status -s SIGINT -k 2 2 /usr/bin/intel_gpu_top -J -s 1000)\r\n# you may need to wrap the below ${JSON} in square brackets depending on your intel_gpu_top version\r\necho \"${JSON}\"\r\n\r\n##If you are using SR-IOV vGPU, use below instead\r\n#JSON=$(/usr/bin/timeout --preserve-status -s SIGINT -k 2 2 /usr/bin/intel_gpu_top -d sriov -J -s 1000)\r\n#echo \"[${JSON}]\"\r\n```\r\nReplace default telegraf config\r\n```\r\nmv /etc/telegraf/telegraf.conf /etc/telegraf/telegraf.conf.default\r\nnano /etc/telegraf/telegraf.conf\r\n```\r\n```\r\n[global_tags]\r\n[agent]\r\n  interval = \"10s\"\r\n  round_interval = true\r\n  metric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"10s\"\r\n  flush_jitter = \"0s\"\r\n  precision = \"0s\"\r\n\r\n[[inputs.exec]]\r\n  name_override = \"intel_gpu_top\"\r\n  commands = [\"sudo /etc/telegraf/intel_gpu_top.sh\"]\r\n  json_query = \"[:1]\"\r\n  timeout = \"3s\"\r\n  data_format = \"json\"\r\n  json_strict = false\r\n\r\n[[outputs.influxdb_v2]]\r\n  urls = [\"http://<ip>:<port>\"]\r\n  token = \"<influxdb2_apikey>\"\r\n  organization = \"<org>\"\r\n  bucket = \"intelgputop\"\r\n  timeout = \"5s\"\r\n```\r\nAllow telegraf to run script as root\r\n```\r\nsudo visudo\r\n# User privilege specification\r\ntelegraf ALL=(ALL) NOPASSWD: /etc/telegraf/intel_gpu_top.sh\r\n```\r\nStart telegraf\r\n```\r\nsystemcl start telegraf\r\n```\r\nMonitor\r\n```\r\nsudo journalctl -u telegraf --no-pager --lines=50\r\n```","collectorPluginList":"influxdb, exec","datasource":"InfluxDB","privacy":"public","createdAt":"2025-03-15T16:15:09.000Z","updatedAt":"2025-03-16T12:27:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23091"},{"rel":"revisions","href":"/dashboards/23091/revisions"},{"rel":"revision","href":"/dashboards/23091/revisions/2"},{"rel":"download","href":"/dashboards/23091/revisions/2/download"},{"rel":"org","href":"/orgs/chrislimk"},{"rel":"images","href":"/dashboards/23091/images"},{"rel":"thumbnails","href":"/dashboards/23091/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20612,"status":1,"statusCode":"active","orgId":1066422,"orgSlug":"charlocharlie","orgName":"claabs","slug":"intel-gpu","downloads":1182,"revisionId":31848,"revision":1,"name":"Intel GPU Stats","description":"Intel GPU utilization and stats via intel_gpu_top, Telegraf, and InfluxDBv2","readme":"Displays all available engine utilization metrics, and frequency of the GPU. When the GPU is not in use, it everything pins to zero. See the collector config sections for setup details.","collectorType":"Telegraf","collectorConfig":"**Install intel_gpu_top**\r\n\r\n*intel_gpu_top* is part of [igt-gpu-tools](https://gitlab.freedesktop.org/drm/igt-gpu-tools). Install it however appropriate on your system (e.g. *apt install intel-gpu-tools*)\r\n\r\n**Check permissions**\r\n\r\nIf when running *intel_gpu_top* as non-root, you get a *CAP_PERFMON* error, you'll need to grant *intel_gpu_top* the ability to be run by non-privileged users.\r\n\r\n```\r\nsudo setcap \"cap_perfmon,cap_sys_ptrace,cap_syslog=ep\" /usr/bin/intel_gpu_top\r\n```\r\n\r\n**Kernel fix**\r\n\r\nIf you still have the *CAP_PERFMON* error (like I did), your OS might be blocking non-privileged perf events globally. To check, run:\r\n\r\n```\r\ncat /proc/sys/kernel/perf_event_paranoid\r\n```\r\n\r\nIf it is greater than 2, you'll need to adjust it:\r\n\r\n```\r\nsudo vi /etc/sysctl.conf\r\n```\r\n\r\nand add:\r\n\r\n```\r\n# Default is disable unprivileged perf events: 4\r\nkernel.perf_event_paranoid=2\r\n```\r\n\r\nand then to apply the change:\r\n\r\n```\r\nsudo sysctl -p\r\n```\r\n**Script to fix JSON output**\r\n\r\nThis script runs intel_gpu_top, for 2 seconds, generating one incomplete sample, and one complete 1000ms sample.\r\n\r\n*/etc/telegraf/intel_gpu_top.sh*:\r\n\r\n```\r\n#!/bin/sh\r\n\r\nJSON=$(/usr/bin/timeout --preserve-status -s SIGINT -k 2 2 /usr/bin/intel_gpu_top -J -s 1000)\r\n# you may need to wrap the below ${JSON} in square brackets depending on your intel_gpu_top version\r\necho \"${JSON}\"\r\n```\r\n\r\n**Telegraf.conf input config**\r\n\r\nThe first sample is junk, so we use *json_query = \"[:1]\"* to omit it from the sample array.\r\n\r\n```\r\n[[inputs.exec]]\r\n  name_override = \"intel_gpu_top\"\r\n  commands = [\"sh /etc/telegraf/intel_gpu_top.sh\"]\r\n  json_query = \"[:1]\"\r\n  timeout = \"3s\"\r\n  data_format = \"json\"\r\n  json_strict = false\r\n```","collectorPluginList":"exec","datasource":"InfluxDB","privacy":"public","createdAt":"2024-03-02T16:08:49.000Z","updatedAt":"2024-07-19T02:35:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20612"},{"rel":"revisions","href":"/dashboards/20612/revisions"},{"rel":"revision","href":"/dashboards/20612/revisions/1"},{"rel":"download","href":"/dashboards/20612/revisions/1/download"},{"rel":"org","href":"/orgs/charlocharlie"},{"rel":"images","href":"/dashboards/20612/images"},{"rel":"thumbnails","href":"/dashboards/20612/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24629,"status":1,"statusCode":"active","orgId":1056892,"orgSlug":"martinliu","orgName":"martinliu","slug":"intel-pc-server-hardware-monitoring-node-exporter-hwmon","downloads":47,"revisionId":39464,"revision":1,"name":"Intel PC Server Hardware Monitoring (node-exporter hwmon)","description":"Reference environment: Intel NUC 6i, Proxmox VE (PVE), lm-sensors + node-exporter hwmon.","readme":"A Prometheus + Grafana dashboard for hardware sensors exposed by lm-sensors and node-exporter's hwmon collector. The dashboard is designed to be reusable across Intel PC servers (and similar platforms) while keeping labels human-readable and actionable.\r\n\r\nRepo: [https://github.com/martinliu/intel-pc-hwmon-dashboard](https://github.com/martinliu/intel-pc-hwmon-dashboard)","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-01-02T14:48:03.000Z","updatedAt":"2026-01-07T07:07:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24629"},{"rel":"revisions","href":"/dashboards/24629/revisions"},{"rel":"revision","href":"/dashboards/24629/revisions/1"},{"rel":"download","href":"/dashboards/24629/revisions/1/download"},{"rel":"org","href":"/orgs/martinliu"},{"rel":"images","href":"/dashboards/24629/images"},{"rel":"thumbnails","href":"/dashboards/24629/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20425,"status":1,"statusCode":"active","orgId":109026,"orgSlug":"aelbarkani","orgName":"aelbarkani","slug":"intel-r-performance-counter-monitor-intel-r-pcm-dashboard-k3s-pcm-exporter-7sspg","downloads":337,"revisionId":31526,"revision":1,"name":"Intel(r) Performance Counter Monitor (Intel(r) PCM) Dashboard - k3s-pcm-exporter-7sspg","description":"INTEL pcm DASHBOARD","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-02-05T08:30:30.000Z","updatedAt":"2024-02-05T08:31:04.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20425"},{"rel":"revisions","href":"/dashboards/20425/revisions"},{"rel":"revision","href":"/dashboards/20425/revisions/1"},{"rel":"download","href":"/dashboards/20425/revisions/1/download"},{"rel":"org","href":"/orgs/aelbarkani"},{"rel":"images","href":"/dashboards/20425/images"},{"rel":"thumbnails","href":"/dashboards/20425/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20512,"status":1,"statusCode":"active","orgId":1056514,"orgSlug":"interflora","orgName":"interflora","slug":"robot-framework-grafana-dashboard","downloads":264,"revisionId":31698,"revision":1,"name":"Interflora Tests","description":"Interflora Automated Tests","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2024-02-19T14:40:51.000Z","updatedAt":"2024-02-19T14:41:38.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20512"},{"rel":"revisions","href":"/dashboards/20512/revisions"},{"rel":"revision","href":"/dashboards/20512/revisions/1"},{"rel":"download","href":"/dashboards/20512/revisions/1/download"},{"rel":"org","href":"/orgs/interflora"},{"rel":"images","href":"/dashboards/20512/images"},{"rel":"thumbnails","href":"/dashboards/20512/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":55,"status":1,"statusCode":"active","orgId":5000,"orgSlug":"grafana","orgName":"Grafana Labs","slug":"internal-grafana-stats","downloads":4684,"revisionId":5858,"revision":3,"name":"Internal Grafana Stats","description":"","readme":"You can configure Grafana to push internal metrics to Graphite.\r\nThis dashboard supports Grafana version 3.1 to 4.5.1. \r\n\r\n## Metrics shown in dashboard\r\n* Data proxy request times as percentiles\r\n* Data proxy requests / s\r\n* Dashboard search times, load / save \r\n* Logins\r\n\r\n[Live Demo](http://play.grafana.org/dashboard/db/internal-grafana-stats)\r\n## Enable Grafana Metrics\r\n```\r\n[metrics]\r\nenabled           = true\r\ninterval_seconds  = 60\r\n\r\n[metrics.graphite]\r\naddress = localhost:2003\r\nprefix = prod.grafana.%(instance_name)s.\r\n```\r\n\r\ninstance_name is a new config option, if it's not present in your grafana.ini it will default to your server name. \r\n\r\n## Importing\r\nDuring import you will be asked to specify you Grafana Metrics Prefix. Specify what you entered as `prefix` in your grafana.ini, but \r\ndo not include the instance_name. So if you use the example above specify `prod.grafana` (without trailing dot). You need to have an instance name in your `prefix` config option as this dashboards assumes the following metric paths `$prefix.$server.`  \r\n\r\n## Make it better\r\nFor feedback and ideas to improve this dashboard please open an issue here: \r\n[https://github.com/torkelo/dashboards](https://github.com/torkelo/dashboards)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2016-06-24T07:43:17.000Z","updatedAt":"2018-01-16T15:30:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/55"},{"rel":"revisions","href":"/dashboards/55/revisions"},{"rel":"revision","href":"/dashboards/55/revisions/3"},{"rel":"download","href":"/dashboards/55/revisions/3/download"},{"rel":"org","href":"/orgs/grafana"},{"rel":"images","href":"/dashboards/55/images"},{"rel":"thumbnails","href":"/dashboards/55/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":22064,"status":1,"statusCode":"active","orgId":505350,"orgSlug":"gosterm","orgName":"gosterm","slug":"internal-grafana-stats","downloads":296,"revisionId":34594,"revision":1,"name":"Internal Grafana Stats","description":"Data Proxy request timings (percentiles), dashboard loads, logins etc, Prometheus version.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-10-11T05:59:14.000Z","updatedAt":"2024-10-11T06:01:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22064"},{"rel":"revisions","href":"/dashboards/22064/revisions"},{"rel":"revision","href":"/dashboards/22064/revisions/1"},{"rel":"download","href":"/dashboards/22064/revisions/1/download"},{"rel":"org","href":"/orgs/gosterm"},{"rel":"images","href":"/dashboards/22064/images"},{"rel":"thumbnails","href":"/dashboards/22064/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":665,"status":1,"statusCode":"active","orgId":15233,"orgSlug":"trevor","orgName":"Trevor Dodds","slug":"internal-grafana-stats","downloads":755,"revisionId":920,"revision":1,"name":"Internal Grafana Stats (Elasticsearch)","description":"Data Proxy request timings (percentiles), dashboard loads, logins etc, Elasticsearch version. ","readme":"Modified version of the original (graphite) to work with Elasticsearch.\r\n\r\nThe below powershell script, will collect the metrics from the grafana API based on the interval set and publish the data to Elasticsearch.\r\n\r\nUpdate:\r\n\r\n    [string[]]$grafanaServers = \"localhost:3000\"\r\n    $interval = 60\r\n    $elasticServer = \"server1:9200\"\r\n\r\nDownload Powershell script (requires PS version 3+) from:\r\n\r\n<https://github.com/trevorndodds/Powershell-grafana-scripts/blob/master/Grafana/grafana2elastic.ps1>\r\n\r\nRun it as a windows service using nssm - <https://nssm.cc>\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2016-10-17T15:08:26.000Z","updatedAt":"2016-12-07T01:42:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/665"},{"rel":"revisions","href":"/dashboards/665/revisions"},{"rel":"revision","href":"/dashboards/665/revisions/1"},{"rel":"download","href":"/dashboards/665/revisions/1/download"},{"rel":"org","href":"/orgs/trevor"},{"rel":"images","href":"/dashboards/665/images"},{"rel":"thumbnails","href":"/dashboards/665/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":411,"status":1,"statusCode":"active","orgId":14309,"orgSlug":"fifemon","orgName":"FIFEmon","slug":"internal-grafana-stats","downloads":904,"revisionId":555,"revision":2,"name":"Internal Grafana Stats (Prometheus)","description":"Data Proxy request timings (percentiles), dashboard loads, logins etc, Prometheus version.","readme":"This is a version of the official [Internal Grafana Stats](https://grafana.net/dashboards/55) dashboard, modified to use data from Prometheus. The data should be scraped into Prometheus using the [graphite exporter](https://github.com/prometheus/graphite_exporter) with the following mapping:\r\n\r\n```\r\ngrafana.*.api.dataproxy.request.*.count\r\nname=\"grafana_api_proxy_requests\"\r\ninstance=\"$1\"\r\ngroup=\"$2\"\r\njob=\"grafana\"\r\n\r\ngrafana.*.api.dataproxy.request.*.min\r\nname=\"grafana_api_proxy_request_duration_seconds_min\"\r\ninstance=\"$1\"\r\ngroup=\"$2\"\r\njob=\"grafana\"\r\n\r\ngrafana.*.api.dataproxy.request.*.max\r\nname=\"grafana_api_proxy_request_duration_seconds_max\"\r\ninstance=\"$1\"\r\ngroup=\"$2\"\r\njob=\"grafana\"\r\n\r\ngrafana.*.api.dataproxy.request.*.mean\r\nname=\"grafana_api_proxy_request_duration_seconds_mean\"\r\ninstance=\"$1\"\r\ngroup=\"$2\"\r\njob=\"grafana\"\r\n\r\ngrafana.*.api.dataproxy.request.*.std\r\nname=\"grafana_api_proxy_request_duration_seconds_std\"\r\ninstance=\"$1\"\r\ngroup=\"$2\"\r\njob=\"grafana\"\r\n\r\ngrafana.*.api.*.*.count\r\nname=\"grafana_api_requests\"\r\ninstance=\"$1\"\r\nendpoint=\"$2\"\r\naction=\"$3\"\r\njob=\"grafana\"\r\n\r\ngrafana.*.api.*.*.min\r\nname=\"grafana_api_request_duration_seconds_min\"\r\ninstance=\"$1\"\r\nendpoint=\"$2\"\r\naction=\"$3\"\r\njob=\"grafana\"\r\n\r\ngrafana.*.api.*.*.max\r\nname=\"grafana_api_request_duration_seconds_max\"\r\ninstance=\"$1\"\r\nendpoint=\"$2\"\r\naction=\"$3\"\r\njob=\"grafana\"\r\n\r\ngrafana.*.api.*.*.mean\r\nname=\"grafana_api_request_duration_seconds_mean\"\r\ninstance=\"$1\"\r\nendpoint=\"$2\"\r\naction=\"$3\"\r\njob=\"grafana\"\r\n\r\ngrafana.*.api.*.*.std\r\nname=\"grafana_api_request_duration_seconds_std\"\r\ninstance=\"$1\"\r\nendpoint=\"$2\"\r\naction=\"$3\"\r\njob=\"grafana\"\r\n\r\ngrafana.*.instance_start.count\r\nname=\"grafana_instance_starts\"\r\ninstance=\"$1\"\r\njob=\"grafana\"\r\n\r\ngrafana.*.models.*.*.count\r\nname=\"grafana_db_events\"\r\ninstance=\"$1\"\r\nmodel=\"$2\"\r\naction=\"$3\"\r\njob=\"grafana\"\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-09-09T22:49:52.000Z","updatedAt":"2016-09-09T23:01:11.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/411"},{"rel":"revisions","href":"/dashboards/411/revisions"},{"rel":"revision","href":"/dashboards/411/revisions/2"},{"rel":"download","href":"/dashboards/411/revisions/2/download"},{"rel":"org","href":"/orgs/fifemon"},{"rel":"images","href":"/dashboards/411/images"},{"rel":"thumbnails","href":"/dashboards/411/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20707,"status":1,"statusCode":"active","orgId":831558,"orgSlug":"ozeliurs","orgName":"ozeliurs","slug":"internal-kubernetes-routes","downloads":47225,"revisionId":32027,"revision":2,"name":"Internal Kubernetes Routes","description":"Monitor Routes from one Node to another","readme":"The Grafana dashboard for the Network Checker App provides clear, real-time insights into your Kubernetes cluster's network performance. It includes:\r\n\r\n    Overview: Get a quick glance at network latency and availability metrics.\r\n    Node Connectivity: Visualize connectivity between nodes.\r\n    Customizable Metrics: Tailor metrics to your monitoring needs.\r\n    Real-time Updates: Stay informed with dynamic, up-to-date data.\r\n    Alerting: Set up alerts for immediate issue notification.\r\n    Scalability Monitoring: Monitor network as your cluster grows.\r\n\r\nInstall the exporter at https://github.com/Apoorva64/network-check","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-16T11:44:16.000Z","updatedAt":"2024-03-16T13:24:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20707"},{"rel":"revisions","href":"/dashboards/20707/revisions"},{"rel":"revision","href":"/dashboards/20707/revisions/2"},{"rel":"download","href":"/dashboards/20707/revisions/2/download"},{"rel":"org","href":"/orgs/ozeliurs"},{"rel":"images","href":"/dashboards/20707/images"},{"rel":"thumbnails","href":"/dashboards/20707/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24364,"status":1,"statusCode":"active","orgId":909924,"orgSlug":"mapanarelabs","orgName":"mapanarelabs","slug":"internet-connection","downloads":289,"revisionId":38966,"revision":1,"name":"Internet connection","description":"A comprehensive Grafana dashboard for monitoring internet connection quality, speed, and reliability using Prometheus exporters (Speedtest and Blackbox).","readme":"# Internet Connection Monitoring Dashboard\r\n\r\nA comprehensive Grafana dashboard for monitoring internet connection quality, speed, and reliability using Prometheus exporters (Speedtest and Blackbox).\r\n\r\n![Dashboard Version](https://img.shields.io/badge/version-1.0.0-blue)\r\n![Grafana](https://img.shields.io/badge/Grafana-12.1.0+-orange)\r\n![License](https://img.shields.io/badge/license-MIT-green)\r\n\r\n## 📋 Overview\r\n\r\nThis dashboard provides real-time and historical monitoring of your internet connection performance. Track download/upload speeds, latency, jitter, and website availability with detailed HTTP request analysis.\r\n\r\n## ✨ Features\r\n\r\n### 🚀 Speed Monitoring\r\n- **Download Speed**: Real-time bandwidth monitoring (bits per second)\r\n- **Upload Speed**: Upload bandwidth tracking with gauge visualization\r\n- **Speed History**: Time-series graph comparing download and upload speeds\r\n\r\n### 📊 Latency & Quality Metrics\r\n- **Ping Latency**: Monitor response times to test servers\r\n- **Jitter**: Network stability measurement (latency variation)\r\n- **Historical Trends**: Track latency patterns over time\r\n\r\n### 🌐 Website Availability\r\n- **Uptime Timeline**: Visual state timeline showing website availability\r\n- **HTTP Request Duration**: Total request time analysis\r\n- **Detailed Phase Breakdown**:\r\n  - DNS Resolution time\r\n  - TCP Connection time\r\n  - TLS Handshake duration\r\n  - Server Processing time\r\n  - Data Transfer time\r\n\r\n### 📈 Visualization Types\r\n- Gauge meters for instant readings\r\n- Time series graphs for trend analysis\r\n- State timeline for uptime tracking\r\n- Phase-specific request duration charts\r\n\r\n## 🖼️ Dashboard Panels\r\n\r\n| Panel | Description | Metric |\r\n|-------|-------------|--------|\r\n| **Download** | Current download speed gauge | `speedtest_download_bits_per_second` |\r\n| **Upload** | Current upload speed gauge | `speedtest_upload_bits_per_second` |\r\n| **Speedtest Ping** | Latency measurement gauge | `speedtest_ping_latency_milliseconds` |\r\n| **Speedtest Graph** | Combined download/upload history | Multiple metrics |\r\n| **Uptime** | Website availability timeline | `probe_success` |\r\n| **HTTP Request Duration** | Total request time | `probe_http_duration_seconds` |\r\n| **Speedtest Jitter** | Network stability metric | `speedtest_jitter_latency_milliseconds` |\r\n| **HTTP Phase Breakdowns** | Detailed request analysis | Phase-specific metrics |\r\n\r\n## 📦 Requirements\r\n\r\n### Prerequisites\r\n\r\n- **Grafana**: Version 12.0 or higher\r\n- **Prometheus**: As data source\r\n- **Speedtest Exporter**: For bandwidth and latency metrics\r\n  - Recommended: [speedtest-exporter](https://github.com/MiguelNdeCarvalho/speedtest-exporter)\r\n- **Blackbox Exporter**: For website monitoring and HTTP probes\r\n\r\n### Required Panels/Plugins\r\n\r\n- Gauge panel\r\n- Time series panel\r\n- State timeline panel\r\n\r\n## 🚀 Installation\r\n\r\n### Method 1: Import via Grafana UI\r\n\r\n1. Log in to your Grafana instance\r\n2. Navigate to **Dashboards** → **New** → **Import**\r\n3. Paste the dashboard JSON or upload the JSON file\r\n4. Select your Prometheus data source\r\n5. Click **Import**\r\n\r\n### Method 2: Import via Dashboard ID\r\n\r\n*(If published to Grafana.com)*\r\n\r\n1. Navigate to **Dashboards** → **New** → **Import**\r\n2. Enter the dashboard ID: `XXXXX`\r\n3. Click **Load**\r\n4. Select your Prometheus data source\r\n5. Click **Import**\r\n\r\n## ⚙️ Configuration\r\n\r\n### Speedtest Exporter Setup\r\n\r\nInstall and configure the speedtest exporter:\r\n\r\n```bash\r\n# Using Docker\r\ndocker run -d \\\r\n  --name speedtest-exporter \\\r\n  -p 9798:9798 \\\r\n  miguelndecarvalho/speedtest-exporter\r\n```\r\n\r\nOr using docker-compose:\r\n\r\n```yaml\r\nversion: '3'\r\nservices:\r\n  speedtest-exporter:\r\n    image: miguelndecarvalho/speedtest-exporter\r\n    container_name: speedtest-exporter\r\n    ports:\r\n      - \"9798:9798\"\r\n    restart: unless-stopped\r\n```\r\n\r\n### Blackbox Exporter Setup\r\n\r\nConfigure Blackbox exporter for HTTP probes:\r\n\r\n```yaml\r\n# blackbox.yml\r\nmodules:\r\n  http_2xx:\r\n    prober: http\r\n    timeout: 5s\r\n    http:\r\n      valid_http_versions: [\"HTTP/1.1\", \"HTTP/2.0\"]\r\n      valid_status_codes: []\r\n      method: GET\r\n      preferred_ip_protocol: \"ip4\"\r\n```\r\n\r\n```bash\r\n# Using Docker\r\ndocker run -d \\\r\n  --name blackbox-exporter \\\r\n  -p 9115:9115 \\\r\n  -v /path/to/blackbox.yml:/config/blackbox.yml \\\r\n  prom/blackbox-exporter:latest \\\r\n  --config.file=/config/blackbox.yml\r\n```\r\n\r\n### Prometheus Configuration\r\n\r\nAdd both exporters as scrape targets in your `prometheus.yml`:\r\n\r\n```yaml\r\nscrape_configs:\r\n  # Speedtest metrics\r\n  - job_name: 'speedtest'\r\n    metrics_path: /metrics\r\n    scrape_interval: 30m  # Avoid excessive bandwidth usage\r\n    scrape_timeout: 90s   # Speedtests can take time\r\n    static_configs:\r\n      - targets: ['localhost:9798']\r\n\r\n  # Blackbox exporter for website monitoring\r\n  - job_name: 'blackbox'\r\n    metrics_path: /probe\r\n    params:\r\n      module: [http_2xx]\r\n    static_configs:\r\n      - targets:\r\n        - https://www.google.com\r\n        - https://www.cloudflare.com\r\n        - https://www.github.com\r\n    relabel_configs:\r\n      - source_labels: [__address__]\r\n        target_label: __param_target\r\n      - source_labels: [__param_target]\r\n        target_label: instance\r\n      - target_label: __address__\r\n        replacement: localhost:9115  # Blackbox exporter address\r\n\r\n  # Blackbox exporter metrics\r\n  - job_name: 'blackbox-exporter'\r\n    static_configs:\r\n      - targets: ['localhost:9115']\r\n```\r\n\r\n### Important Configuration Notes\r\n\r\n**Speedtest Scrape Interval**: \r\n- Recommended: 30 minutes to 1 hour\r\n- Avoid frequent scraping to prevent excessive bandwidth usage\r\n- Adjust `scrape_timeout` to allow tests to complete (typically 60-90s)\r\n\r\n**Blackbox Targets**:\r\n- Add the websites you want to monitor in the `targets` list\r\n- Each target will appear in the Uptime panel\r\n\r\n## 📊 Metrics Reference\r\n\r\n### Speedtest Metrics\r\n\r\n| Metric | Description | Type | Unit |\r\n|--------|-------------|------|------|\r\n| `speedtest_download_bits_per_second` | Download bandwidth | Gauge | bps |\r\n| `speedtest_upload_bits_per_second` | Upload bandwidth | Gauge | bps |\r\n| `speedtest_ping_latency_milliseconds` | Ping latency | Gauge | ms |\r\n| `speedtest_jitter_latency_milliseconds` | Jitter (latency variation) | Gauge | ms |\r\n\r\n### Blackbox Metrics\r\n\r\n| Metric | Description | Type | Unit |\r\n|--------|-------------|------|------|\r\n| `probe_success` | Probe success status (0 or 1) | Gauge | boolean |\r\n| `probe_http_duration_seconds` | Total HTTP request duration | Gauge | seconds |\r\n| `probe_http_duration_seconds{phase=\"resolve\"}` | DNS resolution time | Gauge | seconds |\r\n| `probe_http_duration_seconds{phase=\"connect\"}` | TCP connection time | Gauge | seconds |\r\n| `probe_http_duration_seconds{phase=\"tls\"}` | TLS handshake time | Gauge | seconds |\r\n| `probe_http_duration_seconds{phase=\"processing\"}` | Server processing time | Gauge | seconds |\r\n| `probe_http_duration_seconds{phase=\"transfer\"}` | Data transfer time | Gauge | seconds |\r\n\r\n## 🎨 Customization\r\n\r\n### Adjusting Speed Thresholds\r\n\r\nModify the gauge thresholds based on your internet plan:\r\n\r\n1. Edit the **Download** or **Upload** panel\r\n2. Go to **Field** → **Thresholds**\r\n3. Adjust values:\r\n   - **Green**: 0 (default)\r\n   - **Blue**: Your expected speed (e.g., 100 Mbps = 100000000 bps)\r\n\r\n### Adding Custom Websites to Monitor\r\n\r\n1. Edit your Prometheus configuration\r\n2. Add targets to the `blackbox` job\r\n3. Reload Prometheus configuration\r\n4. The Uptime panel will automatically show new targets\r\n\r\n### Modifying Speedtest Frequency\r\n\r\nBalance between monitoring detail and bandwidth usage:\r\n\r\n```yaml\r\n# Conservative (recommended)\r\nscrape_interval: 1h\r\nscrape_timeout: 90s\r\n\r\n# Moderate\r\nscrape_interval: 30m\r\nscrape_timeout: 90s\r\n\r\n# Frequent (use with caution)\r\nscrape_interval: 15m\r\nscrape_timeout: 90s\r\n```\r\n\r\n## 🔧 Troubleshooting\r\n\r\n### No Speedtest Data\r\n\r\n1. Verify the exporter is running:\r\n   ```bash\r\n   curl http://localhost:9798/metrics\r\n   ```\r\n\r\n2. Check if Prometheus is scraping:\r\n   - Go to Prometheus UI → **Status** → **Targets**\r\n   - Verify `speedtest` target is UP\r\n\r\n3. Check scrape timeout:\r\n   - Speedtests can take 60-90 seconds\r\n   - Ensure `scrape_timeout` is sufficient\r\n\r\n### No Website Uptime Data\r\n\r\n1. Verify Blackbox exporter is running:\r\n   ```bash\r\n   curl 'http://localhost:9115/probe?target=google.com&module=http_2xx'\r\n   ```\r\n\r\n2. Check Prometheus configuration:\r\n   - Verify `relabel_configs` are correct\r\n   - Ensure targets are properly formatted\r\n\r\n3. Test individual probes:\r\n   ```bash\r\n   curl 'http://localhost:9115/probe?target=https://www.google.com&module=http_2xx'\r\n   ```\r\n\r\n### High Jitter Values\r\n\r\nHigh jitter indicates network instability:\r\n- **Normal**: < 10ms\r\n- **Acceptable**: 10-30ms\r\n- **Poor**: > 30ms\r\n\r\nIf consistently high:\r\n- Check for network congestion\r\n- Verify QoS settings on router\r\n- Contact ISP if persistent\r\n\r\n### Slow HTTP Request Phases\r\n\r\nIdentify bottlenecks:\r\n- **High Resolve time**: DNS issues\r\n- **High Connect time**: Network/routing problems\r\n- **High TLS time**: SSL/Certificate negotiation\r\n- **High Processing time**: Server-side delays\r\n- **High Transfer time**: Bandwidth limitations\r\n\r\n## 📈 Best Practices\r\n\r\n### Monitoring Strategy\r\n\r\n1. **Baseline Establishment**: Run for 1-2 weeks to establish normal patterns\r\n2. **Alert Thresholds**: Set based on your baseline ±20%\r\n3. **Retention**: Keep at least 30 days of data for trend analysis\r\n\r\n### Performance Optimization\r\n\r\n1. Use appropriate scrape intervals\r\n2. Limit number of monitored websites (5-10 recommended)\r\n3. Consider using recording rules for complex queries\r\n\r\n### Alerting Recommendations\r\n\r\nCreate alerts for:\r\n- Download speed < 80% of expected\r\n- Upload speed < 80% of expected\r\n- Ping latency > 100ms\r\n- Website down for > 5 minutes\r\n- Jitter > 30ms consistently\r\n\r\n## 📝 Example Use Cases\r\n\r\n### Home Network Monitoring\r\n- Track ISP performance vs. advertised speeds\r\n- Identify peak congestion times\r\n- Verify speed consistency throughout the day\r\n\r\n### Business Connectivity\r\n- Monitor critical website availability\r\n- Track SLA compliance\r\n- Identify network degradation patterns\r\n\r\n### ISP Accountability\r\n- Document speed issues for ISP support tickets\r\n- Compare different time periods\r\n- Verify service improvements after ISP intervention\r\n\r\n## 🤝 Contributing\r\n\r\nContributions are welcome! Suggestions for improvements:\r\n\r\n1. Fork the repository\r\n2. Create your feature branch\r\n3. Commit your changes\r\n4. Open a pull request\r\n\r\n## 📝 Changelog\r\n\r\n### Version 1.0.0 (2024)\r\n- Initial release\r\n- Speedtest integration (download, upload, ping, jitter)\r\n- Blackbox integration (uptime, HTTP phases)\r\n- Gauge and time series visualizations\r\n- State timeline for uptime tracking\r\n\r\n## 📄 License\r\n\r\nThis dashboard is released under the MIT License.\r\n\r\n## 🔗 Links\r\n\r\n### Exporters\r\n- [Speedtest Exporter](https://github.com/MiguelNdeCarvalho/speedtest-exporter)\r\n- [Blackbox Exporter](https://github.com/prometheus/blackbox_exporter)\r\n\r\n### Documentation\r\n- [Grafana Documentation](https://grafana.com/docs/)\r\n- [Prometheus Documentation](https://prometheus.io/docs/)\r\n- [Blackbox Exporter Configuration](https://github.com/prometheus/blackbox_exporter/blob/master/CONFIGURATION.md)\r\n\r\n### Community\r\n- [Grafana Community Forums](https://community.grafana.com/)\r\n- [Prometheus Community](https://prometheus.io/community/)\r\n\r\n## 💬 Support\r\n\r\nFor issues or questions:\r\n- Open an issue on GitHub\r\n- Check the exporter documentation\r\n- Visit the Grafana community forums\r\n\r\n## 🙏 Acknowledgments\r\n\r\n- Thanks to the Speedtest exporter maintainers\r\n- Prometheus and Blackbox Exporter teams\r\n- The Grafana community for visualization best practices\r\n\r\n## ⚠️ Important Notes\r\n\r\n### Bandwidth Considerations\r\n\r\nRunning speedtests consumes bandwidth:\r\n- **Typical test**: 100-500 MB\r\n- **Hourly tests**: ~12 GB/day\r\n- **30-minute tests**: ~24 GB/day\r\n\r\nRecommendation: Use 30-60 minute intervals to balance monitoring vs. bandwidth usage.\r\n\r\n### ISP Data Caps\r\n\r\nIf you have a data cap, monitor your speedtest frequency:\r\n- Calculate daily usage: `tests_per_day × 0.5 GB`\r\n- Adjust scrape interval accordingly\r\n- Consider reducing frequency during high-usage periods\r\n\r\n---\r\n\r\n**Monitor your internet connection effectively!** 🌐📊⚡","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-11-10T03:09:28.000Z","updatedAt":"2025-11-10T03:12:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24364"},{"rel":"revisions","href":"/dashboards/24364/revisions"},{"rel":"revision","href":"/dashboards/24364/revisions/1"},{"rel":"download","href":"/dashboards/24364/revisions/1/download"},{"rel":"org","href":"/orgs/mapanarelabs"},{"rel":"images","href":"/dashboards/24364/images"},{"rel":"thumbnails","href":"/dashboards/24364/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13848,"status":1,"statusCode":"active","orgId":461749,"orgSlug":"iamtheloki","orgName":"IamTheLoki","slug":"internet-dashboard","downloads":767,"revisionId":35343,"revision":3,"name":"Internet Dashboard","description":"Monitor FRITZ!Box routers using prometheus and fritzbox_exporter\r\n\r\nUsing this exporter: https://github.com/sberk42/fritzbox_exporter","readme":"Monitor FRITZ!Box routers using prometheus and fritzbox_exporter\r\n\r\nUsing this exporter: https://github.com/sberk42/fritzbox_exporter","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-02-07T16:38:06.000Z","updatedAt":"2024-12-08T01:12:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13848"},{"rel":"revisions","href":"/dashboards/13848/revisions"},{"rel":"revision","href":"/dashboards/13848/revisions/3"},{"rel":"download","href":"/dashboards/13848/revisions/3/download"},{"rel":"org","href":"/orgs/iamtheloki"},{"rel":"images","href":"/dashboards/13848/images"},{"rel":"thumbnails","href":"/dashboards/13848/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17105,"status":1,"statusCode":"active","orgId":288943,"orgSlug":"byknsen","orgName":"blithe.dev","slug":"internet-speed-monitor","downloads":1015,"revisionId":26246,"revision":2,"name":"Internet Speed Monitor","description":"","readme":"Dashboard for https://github.com/beykansen/internet-speed-monitor","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-10-01T23:00:38.000Z","updatedAt":"2022-10-02T00:28:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/17105"},{"rel":"revisions","href":"/dashboards/17105/revisions"},{"rel":"revision","href":"/dashboards/17105/revisions/2"},{"rel":"download","href":"/dashboards/17105/revisions/2/download"},{"rel":"org","href":"/orgs/byknsen"},{"rel":"images","href":"/dashboards/17105/images"},{"rel":"thumbnails","href":"/dashboards/17105/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12428,"status":1,"statusCode":"active","orgId":390553,"orgSlug":"derekk","orgName":"derekk","slug":"speed-test","downloads":2364,"revisionId":17820,"revision":1,"name":"Internet Speed Test","description":"Display SpeedTest.net results","readme":"See installation instruction at https://github.com/Derek-K/telegraf-speedtest\n\nRequire SpeedTest.net API at https://www.speedtest.net/apps/cli\n\n**Please change each panel, the \"host\" value in query to your hostname accordingly","collectorType":"Telegraf","collectorConfig":"Sample config available at https://github.com/Derek-K/telegraf-speedtest","collectorPluginList":"exec","datasource":"InfluxDB","privacy":"public","createdAt":"2020-06-09T05:31:13.000Z","updatedAt":"2020-06-09T08:03:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/12428"},{"rel":"revisions","href":"/dashboards/12428/revisions"},{"rel":"revision","href":"/dashboards/12428/revisions/1"},{"rel":"download","href":"/dashboards/12428/revisions/1/download"},{"rel":"org","href":"/orgs/derekk"},{"rel":"images","href":"/dashboards/12428/images"},{"rel":"thumbnails","href":"/dashboards/12428/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21528,"status":1,"statusCode":"active","orgId":262655,"orgSlug":"webmaster1989","orgName":"webmaster1989","slug":"internet-speed-test","downloads":390,"revisionId":40437,"revision":5,"name":"Internet Speed Test","description":"Results of speed test CLI.","readme":"Using Telegraf speedtest configuration (change the interval to your needs and remove server_id_include if wanted): \r\n\r\n```\r\n[[inputs.internet_speed]]\r\n   interval = \"24h\"\r\n   server_id_include = [ \"61186\" ]\r\n```\r\n\r\nThe `server_id_include` setting allows me to always use the same test server, update or remove this section if you want to.\r\n\r\nNote: This Telegraf plugin is using speedtest-go that performs the measurements: https://github.com/showwin/speedtest-go","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.internet_speed]]\r\n   interval = \"24h\"\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-07-16T10:06:47.000Z","updatedAt":"2026-04-10T20:41:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21528"},{"rel":"revisions","href":"/dashboards/21528/revisions"},{"rel":"revision","href":"/dashboards/21528/revisions/5"},{"rel":"download","href":"/dashboards/21528/revisions/5/download"},{"rel":"org","href":"/orgs/webmaster1989"},{"rel":"images","href":"/dashboards/21528/images"},{"rel":"thumbnails","href":"/dashboards/21528/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21200,"status":1,"statusCode":"active","orgId":1140635,"orgSlug":"ahern01","orgName":"ahern01","slug":"internet-speed-test","downloads":263,"revisionId":32987,"revision":1,"name":"Internet Speed Test","description":"Display SpeedTest.net results","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-06-03T19:02:12.000Z","updatedAt":"2024-06-05T21:24:32.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21200"},{"rel":"revisions","href":"/dashboards/21200/revisions"},{"rel":"revision","href":"/dashboards/21200/revisions/1"},{"rel":"download","href":"/dashboards/21200/revisions/1/download"},{"rel":"org","href":"/orgs/ahern01"},{"rel":"images","href":"/dashboards/21200/images"},{"rel":"thumbnails","href":"/dashboards/21200/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21243,"status":1,"statusCode":"active","orgId":1140635,"orgSlug":"ahern01","orgName":"ahern01","slug":"internet-speed-test","downloads":283,"revisionId":33072,"revision":1,"name":"Internet Speed Test","description":"Display SpeedTest.net results","readme":"","collectorType":"Telegraf","collectorConfig":" [global_tags]\r\n\r\n[agent]\r\n  interval = \"60s\"\r\n  round_interval = true\r\n  metric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"10s\"\r\n  flush_jitter = \"0s\"\r\n  precision = \"\"\r\n  hostname = \"10.1.10.215\"\r\n  omit_hostname = false\r\n\r\n[[outputs.influxdb]]\r\n  urls = [\"http://influxdb:8086\"]\r\n  database = \"influx\"\r\n  timeout = \"5s\"\r\n  username = \"telegraf\"\r\n  password = \"metricsmetricsmetricsmetrics\"\r\n\r\n\r\n[[inputs.cpu]]\r\n  percpu = true\r\n  totalcpu = true\r\n  collect_cpu_time = false\r\n  report_active = false\r\n\r\n\r\n[[inputs.disk]]\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\r\n\r\n\r\n[[inputs.diskio]]\r\n\r\n[[inputs.kernel]]\r\n\r\n[[inputs.mem]]\r\n\r\n[[inputs.processes]]\r\n\r\n[[inputs.swap]]\r\n\r\n[[inputs.system]]","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-06-06T19:08:12.000Z","updatedAt":"2024-06-06T19:10:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21243"},{"rel":"revisions","href":"/dashboards/21243/revisions"},{"rel":"revision","href":"/dashboards/21243/revisions/1"},{"rel":"download","href":"/dashboards/21243/revisions/1/download"},{"rel":"org","href":"/orgs/ahern01"},{"rel":"images","href":"/dashboards/21243/images"},{"rel":"thumbnails","href":"/dashboards/21243/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":2690,"status":1,"statusCode":"active","orgId":47070,"orgSlug":"clete2","orgName":"clete2","slug":"internet-uptime-monitor","downloads":5276,"revisionId":3752,"revision":4,"name":"Internet Uptime Monitor","description":"","readme":"Someone please critique my math on the uptime widgets, because according to http://ezutc.com I am slightly off. (Revision 2: Changed to just subtract the mean packet loss percentage from 100)\r\n\r\nInstallation:\r\n1. Setup Telegraf ping input as described in the collector config.\r\n1. Setup InfluxDB\r\n1. Setup Telegraf to output to InfluxDB\r\n1. Setup Grafana, import dashboard, and enjoy!","collectorType":"Telegraf","collectorConfig":"The dashboard is currently relying on collection using the Telegraf ping plugin. Sample config shown below.\r\n\r\n```\r\n[[inputs.ping]]\r\ninterval = \"60s\"\r\nurls = [\"208.67.222.222\", \"208.67.220.220\", \"ddg.gg\", \"pfSense.home\", \"accessPoint.home\", \"amazon.com\", \"github.com\"]\r\ncount = 4\r\nping_interval = 1.0\r\ntimeout = 2.0\r\n```","collectorPluginList":"ping","datasource":"InfluxDB","privacy":"public","createdAt":"2017-07-22T13:34:27.000Z","updatedAt":"2017-07-27T00:41:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":4,"reviewsAvgRating":4.25,"links":[{"rel":"self","href":"/dashboards/2690"},{"rel":"revisions","href":"/dashboards/2690/revisions"},{"rel":"revision","href":"/dashboards/2690/revisions/4"},{"rel":"download","href":"/dashboards/2690/revisions/4/download"},{"rel":"org","href":"/orgs/clete2"},{"rel":"images","href":"/dashboards/2690/images"},{"rel":"thumbnails","href":"/dashboards/2690/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15580,"status":1,"statusCode":"active","orgId":590789,"orgSlug":"tim4497","orgName":"tim4497","slug":"home","downloads":540,"revisionId":23523,"revision":1,"name":"Internetspeed","description":"Small dashboard visualize upload, download and ping (current and timewindow of today)","readme":"It uses the build in [[inputs.internet_speed]], so no need for speedtest_cli but no jitter \r\n\r\nhttps://github.com/influxdata/telegraf/issues/9852\r\n\r\nreading from an bucket in influxdb_v2 called 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monitor your hosts. It might gives you a chance to get the idea behind IP2Location Tool. You might want to make more effective dashboard and share it with others.","readme":"# Step 1: Download binaries\nDownload IP2Location binary for your platform:\n\n1. **Windows**:\n      - [ip2location.exe (i386)](https://github.com/javadmohebbi/IP2Location/raw/master/dist/windows/386/ip2location.exe)\n      - [ip2location.exe (amd64)](https://github.com/javadmohebbi/IP2Location/raw/master/dist/windows/amd64/ip2location.exe)\n1. **Linux**:\n      - [ip2location (i386)](https://github.com/javadmohebbi/IP2Location/raw/master/dist/linux/386/ip2location)\n      - [ip2location (amd64)](https://github.com/javadmohebbi/IP2Location/raw/master/dist/linux/amd64/ip2location)\n1. **Mac**:\n      - [ip2location (i386)](https://github.com/javadmohebbi/IP2Location/raw/master/dist/darwin/386/ip2location)\n      - [ip2location (amd64)](https://github.com/javadmohebbi/IP2Location/raw/master/dist/darwin/amd64/ip2location)\n\n\n# Step 2: How to get metrics & use this dashboard? \n\nYou can find a how to guide in [this article](http://mjmohebbi.com/how-to-monitor-ip-addresses-using-influxdb-telegraf-and-grafana/) to Monitor your hosts using InfluxDB, Telegraf & Granfana. \n\n\n\n","collectorType":"Telegraf","collectorConfig":"# IP2Location\nA terminal application which use to get information about IP addresses based on IP2Location.com Lite Database\n\nThis terminal application will use the IP2Location Lite Package to fetch the information about provided IP addresses. If the provided IPs are private addresses, you can provide a CSV file to fetch information from your local database. \n\nDownload source code & binaries from [IP2Location Github Repo](https://github.com/javadmohebbi/IP2Location)\n\n\n","collectorPluginList":"exec","datasource":"InfluxDB","privacy":"public","createdAt":"2019-10-06T05:25:36.000Z","updatedAt":"2020-07-01T03:39:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10964"},{"rel":"revisions","href":"/dashboards/10964/revisions"},{"rel":"revision","href":"/dashboards/10964/revisions/1"},{"rel":"download","href":"/dashboards/10964/revisions/1/download"},{"rel":"org","href":"/orgs/mohammadjavadmohebbi"},{"rel":"images","href":"/dashboards/10964/images"},{"rel":"thumbnails","href":"/dashboards/10964/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9216,"status":1,"statusCode":"active","orgId":41928,"orgSlug":"odintsov","orgName":"odintsov","slug":"ipfix-statistics","downloads":386,"revisionId":12732,"revision":1,"name":"IPFIX statistics","description":"This dashboard provides very detailed report about IPFIX related metrics for debugging purposes","readme":"You can use this Grafana dashboard to debug any IPFIX related issues.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-11-26T22:53:56.000Z","updatedAt":"2018-11-26T22:55:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9216"},{"rel":"revisions","href":"/dashboards/9216/revisions"},{"rel":"revision","href":"/dashboards/9216/revisions/1"},{"rel":"download","href":"/dashboards/9216/revisions/1/download"},{"rel":"org","href":"/orgs/odintsov"},{"rel":"images","href":"/dashboards/9216/images"},{"rel":"thumbnails","href":"/dashboards/9216/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19636,"status":1,"statusCode":"active","orgId":264412,"orgSlug":"egg82","orgName":"egg82","slug":"ipmi","downloads":469,"revisionId":30142,"revision":1,"name":"IPMI","description":"IPMI Dashboard completely written in Flux. Written for SuperMicro systems w/ IPMI and/or Redfish.","readme":"","collectorType":"Telegraf","collectorConfig":"```\r\n# Read CPU, Fans, Powersupply and Voltage metrics of hardware server through redfish APIs\r\n[[inputs.redfish]]\r\n  ## Redfish API Base URL.\r\n  address = \"https://<IPMI IP address>\"\r\n\r\n  ## Credentials for the Redfish API.\r\n  username = \"<username>\"\r\n  password = \"<password>\"\r\n\r\n  ## System Id to collect data for in Redfish APIs.\r\n  computer_system_id=\"1\"\r\n\r\n  ## Tag sets allow you to include redfish OData link parent data\r\n  ## For Example.\r\n  ## Thermal data is an OData link with parent Chassis which has a link of Location.\r\n  ## For more info see the Redfish Resource and Schema Guide at DMTFs website.\r\n  ## Available sets are: \"chassis.location\" and \"chassis\"\r\n  # include_tag_sets = [\"chassis.location\"]\r\n\r\n  ## Amount of time allowed to complete the HTTP request\r\n  timeout = \"5s\"\r\n\r\n  ## Optional TLS Config\r\n  # tls_ca = \"/etc/telegraf/ca.pem\"\r\n  # tls_cert = \"/etc/telegraf/cert.pem\"\r\n  # tls_key = \"/etc/telegraf/key.pem\"\r\n  ## Use TLS but skip chain & host verification\r\n  insecure_skip_verify = true\r\n\r\n# Read metrics from the bare metal servers via IPMI\r\n[[inputs.ipmi_sensor]]\r\n  ## optionally specify the path to the ipmitool executable\r\n  path = \"/usr/bin/ipmitool\"\r\n  ##\r\n  ## Setting 'use_sudo' to true will make use of sudo to run ipmitool.\r\n  ## Sudo must be configured to allow the telegraf user to run ipmitool\r\n  ## without a password.\r\n  use_sudo = false\r\n  ##\r\n  ## optionally force session privilege level. Can be CALLBACK, USER, OPERATOR, ADMINISTRATOR\r\n  privilege = \"USER\"\r\n  ##\r\n  ## optionally specify one or more servers via a url matching\r\n  ##  [username[:password]@][protocol[(address)]]\r\n  ##  e.g.\r\n  ##    root:passwd@lan(127.0.0.1)\r\n  ##\r\n  ## if no servers are specified, local machine sensor stats will be queried\r\n  ##\r\n  servers = [\"<username>:<password>@lan(<IPMI IP address>)\"]\r\n\r\n  ## Recommended: use metric 'interval' that is a multiple of 'timeout' to avoid\r\n  ## gaps or overlap in pulled data\r\n  interval = \"30s\"\r\n\r\n  ## Timeout for the ipmitool command to complete. Default is 20 seconds.\r\n  timeout = \"20s\"\r\n\r\n  ## Schema Version: (Optional, defaults to version 1)\r\n  metric_version = 2\r\n\r\n  ## Optionally provide the hex key for the IMPI connection.\r\n  # hex_key = \"\"\r\n\r\n  ## If ipmitool should use a cache\r\n  ## for me ipmitool runs about 2 to 10 times faster with cache enabled on HP G10 servers (when using ubuntu20.04)\r\n  ## the cache file may not work well for you if some sensors come up late\r\n  use_cache = true\r\n\r\n  ## Path to the ipmitools cache file (defaults to OS temp dir)\r\n  ## The provided path must exist and must be writable\r\n  # cache_path = \"\"\r\n```","collectorPluginList":"ipmi_sensor","datasource":"InfluxDB","privacy":"public","createdAt":"2023-09-23T03:13:08.000Z","updatedAt":"2023-09-23T15:29:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19636"},{"rel":"revisions","href":"/dashboards/19636/revisions"},{"rel":"revision","href":"/dashboards/19636/revisions/1"},{"rel":"download","href":"/dashboards/19636/revisions/1/download"},{"rel":"org","href":"/orgs/egg82"},{"rel":"images","href":"/dashboards/19636/images"},{"rel":"thumbnails","href":"/dashboards/19636/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15765,"status":1,"statusCode":"active","orgId":582489,"orgSlug":"soroush7339","orgName":"srkaviani","slug":"ipmi-exporter","downloads":4794,"revisionId":24030,"revision":2,"name":"IPMI Exporter","description":"","readme":"How to use it:\r\nhttps://github.com/srkaviani/prometheus_exporters/tree/main/ipmi_exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-02-16T06:12:12.000Z","updatedAt":"2022-03-09T05:59:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15765"},{"rel":"revisions","href":"/dashboards/15765/revisions"},{"rel":"revision","href":"/dashboards/15765/revisions/2"},{"rel":"download","href":"/dashboards/15765/revisions/2/download"},{"rel":"org","href":"/orgs/soroush7339"},{"rel":"images","href":"/dashboards/15765/images"},{"rel":"thumbnails","href":"/dashboards/15765/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13177,"status":1,"statusCode":"active","orgId":425843,"orgSlug":"tomhetmer","orgName":"totoCZ","slug":"ipmi-for-prometheus","downloads":4432,"revisionId":35544,"revision":3,"name":"IPMI for Prometheus","description":"Charts from ipmitool in node exporter","readme":"Shows metrics from node-exporter with ipmitool text plugin.\r\n\r\nModify Power cost for a basic monthly power cost calculator. (old version only)\r\n\r\nUpdate: works with ipmi_exporter too.","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2020-10-13T19:50:54.000Z","updatedAt":"2024-12-25T15:12:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13177"},{"rel":"revisions","href":"/dashboards/13177/revisions"},{"rel":"revision","href":"/dashboards/13177/revisions/3"},{"rel":"download","href":"/dashboards/13177/revisions/3/download"},{"rel":"org","href":"/orgs/tomhetmer"},{"rel":"images","href":"/dashboards/13177/images"},{"rel":"thumbnails","href":"/dashboards/13177/thumbnails"}]},{"id":21252,"status":1,"statusCode":"active","orgId":1144174,"orgSlug":"agileosconsulting","orgName":"agileosconsulting","slug":"hardware-status-overview-ipmi-agileos-consulting-ltd","downloads":390,"revisionId":33088,"revision":1,"name":"IPMI Overview for Prometheus - Agileos Consulting LTD","description":"Visualize IPMI data reported by IPMI exporter.  \r\nMade by Fabio Pardi - Agileos Consulting LTD \r\nYour Trusted Remote DBA\r\nwww.agileosconsulting.com ","readme":"This board display data provided by IPMI.\r\nYou need to install prometheus-ipmi-exporter to get the right data","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-07T10:07:31.000Z","updatedAt":"2024-06-07T10:19:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21252"},{"rel":"revisions","href":"/dashboards/21252/revisions"},{"rel":"revision","href":"/dashboards/21252/revisions/1"},{"rel":"download","href":"/dashboards/21252/revisions/1/download"},{"rel":"org","href":"/orgs/agileosconsulting"},{"rel":"images","href":"/dashboards/21252/images"},{"rel":"thumbnails","href":"/dashboards/21252/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13674,"status":1,"statusCode":"active","orgId":413983,"orgSlug":"leishi1313","orgName":"Lei Shi","slug":"iptables-montoring-dashboard","downloads":897,"revisionId":19965,"revision":1,"name":"Iptables Montoring Dashboard","description":"Node exporter extension with iptables support","readme":"Used together with https://github.com/LeiShi1313/node_exporter","collectorType":"nodeExporter","collectorConfig":"node_exporter  --collector.iptables","collectorPluginList":"cpu, meminfo, filesystem, Other","datasource":"Prometheus","privacy":"public","createdAt":"2021-01-04T01:23:41.000Z","updatedAt":"2021-01-04T01:31:16.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13674"},{"rel":"revisions","href":"/dashboards/13674/revisions"},{"rel":"revision","href":"/dashboards/13674/revisions/1"},{"rel":"download","href":"/dashboards/13674/revisions/1/download"},{"rel":"org","href":"/orgs/leishi1313"},{"rel":"images","href":"/dashboards/13674/images"},{"rel":"thumbnails","href":"/dashboards/13674/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11609,"status":1,"statusCode":"active","orgId":293069,"orgSlug":"sandersaares","orgName":"sandersaares","slug":"ipv4-packet-stream-analysis-prometheus","downloads":1429,"revisionId":16408,"revision":3,"name":"IPv4 packet stream analysis (Prometheus)","description":"Analysis of a real-time IPv4 packet stream as exported by prometheus-net/tzsp_packetstream_exporter","readme":"This is a visualization of the Docker container metrics provided by the [prometheus-net/tzsp_packetstream_exporter](https://github.com/prometheus-net/tzsp_packetstream_exporter) project.\r\n\r\n[Source and issue reports on GitHub](https://github.com/prometheus-net/grafana-dashboards)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-22T10:26:07.000Z","updatedAt":"2020-01-27T08:33:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11609"},{"rel":"revisions","href":"/dashboards/11609/revisions"},{"rel":"revision","href":"/dashboards/11609/revisions/3"},{"rel":"download","href":"/dashboards/11609/revisions/3/download"},{"rel":"org","href":"/orgs/sandersaares"},{"rel":"images","href":"/dashboards/11609/images"},{"rel":"thumbnails","href":"/dashboards/11609/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14869,"status":1,"statusCode":"active","orgId":531137,"orgSlug":"mvhoma","orgName":"mvhoma","slug":"iris","downloads":377,"revisionId":22161,"revision":1,"name":"IRIS","description":"GKE-deployed IRIS metrics","readme":"Shows IRIS metrics exposed in Prometheus format.\nPrerequisites: IRIS deployed in GKE, metrics are gathered by GKE-metrics-agent (based on OpenTelemetry) and sent to CloudMonitoring as custom-metrics.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-08-14T13:12:23.000Z","updatedAt":"2021-08-14T13:33:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14869"},{"rel":"revisions","href":"/dashboards/14869/revisions"},{"rel":"revision","href":"/dashboards/14869/revisions/1"},{"rel":"download","href":"/dashboards/14869/revisions/1/download"},{"rel":"org","href":"/orgs/mvhoma"},{"rel":"images","href":"/dashboards/14869/images"},{"rel":"thumbnails","href":"/dashboards/14869/thumbnails"}]},{"id":10833,"status":1,"statusCode":"active","orgId":286376,"orgSlug":"wjdfxa","orgName":"wjdfxa","slug":"irisnet-dashboard","downloads":298,"revisionId":15149,"revision":1,"name":"IRISnet Dashboard","description":"IRISnet Dashboard","readme":"This is a  IRISnet  dashboard used to monitor a node. All known endpoints/metrics are used.\nFork from #7044","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-09-09T07:50:17.000Z","updatedAt":"2019-09-09T07:56:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10833"},{"rel":"revisions","href":"/dashboards/10833/revisions"},{"rel":"revision","href":"/dashboards/10833/revisions/1"},{"rel":"download","href":"/dashboards/10833/revisions/1/download"},{"rel":"org","href":"/orgs/wjdfxa"},{"rel":"images","href":"/dashboards/10833/images"},{"rel":"thumbnails","href":"/dashboards/10833/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12373,"status":1,"statusCode":"active","orgId":273829,"orgSlug":"sgroom","orgName":"Sean Groom","slug":"isc-dhcp-scopes","downloads":381,"revisionId":17714,"revision":1,"name":"ISC DHCP Scopes","description":"Monitor linux dhcp pools with telegraf, influxdb and dhcpd-pools","readme":"monitor isc-dhcpd servers with telegraf, influxdb, dhcpd-pools, dhcpd","collectorType":"Telegraf","collectorConfig":"\ninstall dhcpd-pools  -  http://dhcpd-pools.sourceforge.net/\n\ncreate a short script...\n\n#!/bin/bash\n\n\n/usr/local/bin/dhcpd-pools -c /etc/dhcp/dhcpd.conf --format=j > /var/www/html/dhcpd/dhcpd.json\n\ntest by hand... \n\n\ncreate telegraf config file\n\n[[inputs.http]]\n\nurls = [ \"http://dhcp.host.address/dhcpd/dhcpd.json\" ]\n\nmethod = \"GET\"\n\ntimeout = \"15s\"\n\ndata_format = \"json\"\n\njson_string_fields = [\"fields.*\"]\n\nname_override = \"dhcpd_stats\"\n\n\n\nonce that's all working and tested manually, import the dashboard and update the queries to reflect the urls you're collecting from.\n\nLast step is to add the script you created to the cron of the dhcpd server. I run it once a minute.\n\nnote: the gauge is calculated with nested select statements","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-05-27T19:40:43.000Z","updatedAt":"2020-05-28T18:12:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12373"},{"rel":"revisions","href":"/dashboards/12373/revisions"},{"rel":"revision","href":"/dashboards/12373/revisions/1"},{"rel":"download","href":"/dashboards/12373/revisions/1/download"},{"rel":"org","href":"/orgs/sgroom"},{"rel":"images","href":"/dashboards/12373/images"},{"rel":"thumbnails","href":"/dashboards/12373/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":547,"status":1,"statusCode":"active","orgId":30708,"orgSlug":"isilon","orgName":"isilon","slug":"isilon-data-insights-cluster-capacity-utilization-table","downloads":748,"revisionId":727,"revision":1,"name":"Isilon Data Insights Cluster Capacity Utilization Table","description":"Color coded table showing cluster capacity utilization.   Good to see the clusters with the highest capacity utilization.","readme":"This dashboard to provide a view of the capacity utilization across multiple clusters monitored using the Isilon Data Insights Connector available at https://github.com/Isilon/isilon_data_insights_connector.\r\n\r\nThe dashboard provides a sortable table showing clusters and their current capacity utilization.\r\n\r\nQuestions, suggestions, enhancements are welcome at https://github.com/Isilon/isilon_data_insights_connector and/or the Slack channel at https://codecommunity.slack.com/archives/isilon.\r\n\r\nThanks from the Isilon SDK team.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2016-10-03T20:19:23.000Z","updatedAt":"2016-10-03T20:20:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/547"},{"rel":"revisions","href":"/dashboards/547/revisions"},{"rel":"revision","href":"/dashboards/547/revisions/1"},{"rel":"download","href":"/dashboards/547/revisions/1/download"},{"rel":"org","href":"/orgs/isilon"},{"rel":"images","href":"/dashboards/547/images"},{"rel":"thumbnails","href":"/dashboards/547/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":541,"status":1,"statusCode":"active","orgId":30708,"orgSlug":"isilon","orgName":"isilon","slug":"isilon-data-insights-cluster-detail","downloads":886,"revisionId":3149,"revision":2,"name":"Isilon Data Insights Cluster Detail","description":"","readme":"This dashboard to provide a cluster wide view of the activity on an Isilon cluster monitored using the Isilon Data Insights Connector available at https://github.com/Isilon/isilon_data_insights_connector.\r\n\r\nThe dashboard provides views of:\r\n- Links to the WebUI for the cluster (assuming the name of the cluster resolves to the cluster address)\r\n- Cluster capacity utilization\r\n- CPU utilization\r\n- Protocol operations activity and connections\r\n- Open files\r\n- Network, file system and disk throughput\r\n- Job Engine activity\r\n- File system event activity\r\n- Cache statistics\r\n\r\nQuestions, suggestions, enhancements are welcome at https://github.com/Isilon/isilon_data_insights_connector and/or the Slack channel at https://codecommunity.slack.com/archives/isilon.\r\n\r\nThanks from the Isilon SDK team.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2016-10-03T17:06:42.000Z","updatedAt":"2017-06-01T16:42:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/541"},{"rel":"revisions","href":"/dashboards/541/revisions"},{"rel":"revision","href":"/dashboards/541/revisions/2"},{"rel":"download","href":"/dashboards/541/revisions/2/download"},{"rel":"org","href":"/orgs/isilon"},{"rel":"images","href":"/dashboards/541/images"},{"rel":"thumbnails","href":"/dashboards/541/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":538,"status":1,"statusCode":"active","orgId":30708,"orgSlug":"isilon","orgName":"isilon","slug":"isilon-data-insights-cluster-summary","downloads":1072,"revisionId":3152,"revision":2,"name":"Isilon Data Insights Cluster Summary","description":"","readme":"This dashboard to provide a health and activity summary of multiple Isilon clusters monitored using the Isilon Data Insights Connector available at https://github.com/Isilon/isilon_data_insights_connector.\r\n\r\nEach Isilon cluster is displayed in a row of the dashboard.   Each row provides:\r\n- Links to the WebUI for the cluster (assuming the name of the cluster resolves to the cluster address)\r\n- A link to a more detailed dashboard for the cluster (also published here on Grafana.net)\r\n- Tiles showing the size of the cluster\r\n- Number of nodes down\r\n- The alert status of the cluster\r\n- The cluster CPU and capacity utilization\r\n- Activity indicators for NFSv3 and SMB2 traffic\r\n\r\nQuestions, suggestions, enhancements are welcome at https://github.com/Isilon/isilon_data_insights_connector and/or the Slack channel at https://codecommunity.slack.com/archives/isilon.\r\n\r\nThanks from the Isilon SDK team.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2016-10-03T16:32:54.000Z","updatedAt":"2017-06-01T16:48:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/538"},{"rel":"revisions","href":"/dashboards/538/revisions"},{"rel":"revision","href":"/dashboards/538/revisions/2"},{"rel":"download","href":"/dashboards/538/revisions/2/download"},{"rel":"org","href":"/orgs/isilon"},{"rel":"images","href":"/dashboards/538/images"},{"rel":"thumbnails","href":"/dashboards/538/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":544,"status":1,"statusCode":"active","orgId":30708,"orgSlug":"isilon","orgName":"isilon","slug":"isilon-data-insights-protocol-detail","downloads":572,"revisionId":724,"revision":1,"name":"Isilon Data Insights Protocol Detail","description":"Dashboard to provide a protocol specific view of the activity on an Isilon cluster monitored using the Isilon Data Insights Connector available at https://github.com/Isilon/isilon_data_insights_connector.\r\n","readme":"This dashboard to provide a protocol specific view of the activity on an Isilon cluster monitored using the Isilon Data Insights Connector available at https://github.com/Isilon/isilon_data_insights_connector.\r\n\r\nThe dashboard provides views for a selected protocol of: \r\n- Links to the WebUI for the cluster (assuming the name of the cluster resolves to the cluster address)\r\n- Client connections\r\n- Protocol operation rates\r\n- Protocol operation mix\r\n- Protocol throughput\r\n- Average and maximum protocol operation latencies\r\n\r\nQuestions, suggestions, enhancements are welcome at https://github.com/Isilon/isilon_data_insights_connector and/or the Slack channel at https://codecommunity.slack.com/archives/isilon.\r\n\r\nThanks from the Isilon SDK team.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2016-10-03T20:15:52.000Z","updatedAt":"2016-10-03T20:16:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/544"},{"rel":"revisions","href":"/dashboards/544/revisions"},{"rel":"revision","href":"/dashboards/544/revisions/1"},{"rel":"download","href":"/dashboards/544/revisions/1/download"},{"rel":"org","href":"/orgs/isilon"},{"rel":"images","href":"/dashboards/544/images"},{"rel":"thumbnails","href":"/dashboards/544/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":6201,"status":1,"statusCode":"active","orgId":149688,"orgSlug":"clamalfa","orgName":"Connor Lamalfa","slug":"per-node-stats","downloads":532,"revisionId":8445,"revision":1,"name":"Isilon Per Node SMB/NFS Stats","description":"Dashboard gives per node SMB2 or NFS protocol and per node CPU metrics.","readme":"In order for this dashboard to function properly two changes are required within the Isilon Data Insights Connector environment -\r\n1. Stop the collector daemon process then edit the isi_data_insights_d.cfg file - adding a node specific stat group and their corresponding keys - Add to active_stat_groups:\r\n node_proto_stats\r\n node_cpu_stats\r\n\r\nThen create the corresponding keys within the new stat group:\r\n[node_proto_stats]\r\nupdate_interval: *\r\nstats: node.protostats.nfs\r\n    node.protostats.smb2\r\n\r\n[node_cpu_stats]\r\nupdate_interval: *\r\nstats: node.cpu.sys.avg\r\n    node.cpu.user.avg\r\n    node.cpu.idle.avg\r\n    node.cpu.intr.avg\r\n\r\nThen restart the service, which will begin collecting data points for these statistic keys.\r\n\r\n2. Create 3 variables within the Grafana dashboard, once imported, in order to filter the queries to display the metrics properly.\r\n- Cluster variable - show tag values with key = \"cluster\"\r\n- Node variable - show tag values with key = \"node\" where \"cluster\" =~ /^$cluster/\r\n- Protocol variable - nfs,smb2\r\n\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-05-22T15:32:37.000Z","updatedAt":"2018-05-22T16:18:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6201"},{"rel":"revisions","href":"/dashboards/6201/revisions"},{"rel":"revision","href":"/dashboards/6201/revisions/1"},{"rel":"download","href":"/dashboards/6201/revisions/1/download"},{"rel":"org","href":"/orgs/clamalfa"},{"rel":"images","href":"/dashboards/6201/images"},{"rel":"thumbnails","href":"/dashboards/6201/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14471,"status":1,"statusCode":"active","orgId":61412,"orgSlug":"nickyruggs","orgName":"Dell Technologies","slug":"storage-efficiency","downloads":324,"revisionId":21413,"revision":1,"name":"Isilon Storage Efficiency","description":"Preliminary Dashboard to monitor Data reduction stats","readme":"Preliminary Dashboard for monitoring data reduction.  Available in OneFS v. 9.2+\r\n\r\nMake sure the Isilon Data insights config file contains the [compression_stats] stanza below.\r\n\r\n[compression_stats]\r\nupdate_interval: *\r\nstats: cluster.compression.blocks.logical\r\n  cluster.compression.blocks.physical\r\n  cluster.compression.ratio\r\n  cluster.compression.blocks.protection\r\n  cluster.dedupe.inline.blocks.zero\r\n  cluster.dedupe.inline.blocks.dedupe\r\n  cluster.dedupe.inline.blocks.sstore\r\n  cluster.dedupe.inline.ratio\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-05-21T02:38:59.000Z","updatedAt":"2022-05-27T16:10:37.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14471"},{"rel":"revisions","href":"/dashboards/14471/revisions"},{"rel":"revision","href":"/dashboards/14471/revisions/1"},{"rel":"download","href":"/dashboards/14471/revisions/1/download"},{"rel":"org","href":"/orgs/nickyruggs"},{"rel":"images","href":"/dashboards/14471/images"},{"rel":"thumbnails","href":"/dashboards/14471/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24580,"status":1,"statusCode":"active","orgId":1565165,"orgSlug":"tharindunirmal45","orgName":"tharindunirmal45","slug":"wealth-leaderboard","downloads":19,"revisionId":39362,"revision":1,"name":"Island Leaderboard","description":"GG1","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2025-12-18T10:35:40.000Z","updatedAt":"2025-12-18T10:36:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24580"},{"rel":"revisions","href":"/dashboards/24580/revisions"},{"rel":"revision","href":"/dashboards/24580/revisions/1"},{"rel":"download","href":"/dashboards/24580/revisions/1/download"},{"rel":"org","href":"/orgs/tharindunirmal45"},{"rel":"images","href":"/dashboards/24580/images"},{"rel":"thumbnails","href":"/dashboards/24580/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":24581,"status":1,"statusCode":"active","orgId":1565165,"orgSlug":"tharindunirmal45","orgName":"tharindunirmal45","slug":"player-lookup","downloads":20,"revisionId":39363,"revision":1,"name":"Island Player Lookup","description":"GG2","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2025-12-18T10:36:42.000Z","updatedAt":"2025-12-18T10:37:01.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24581"},{"rel":"revisions","href":"/dashboards/24581/revisions"},{"rel":"revision","href":"/dashboards/24581/revisions/1"},{"rel":"download","href":"/dashboards/24581/revisions/1/download"},{"rel":"org","href":"/orgs/tharindunirmal45"},{"rel":"images","href":"/dashboards/24581/images"},{"rel":"thumbnails","href":"/dashboards/24581/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":14206,"status":1,"statusCode":"active","orgId":480529,"orgSlug":"mrkaran","orgName":"mrkaran","slug":"isp-monitoring","downloads":1015,"revisionId":20878,"revision":1,"name":"ISP Monitoring","description":"Monitor your ISP's Ping and DNS response times. Collect useful data like packet loss, uptime metrics on upstream services.","readme":"This is an ISP Monitoring dashboard. It collects metrics on Ping and DNS using Telegraf. It requires Telegraf Ping Input and DNS Plugin to work.\r\n\r\nRead https://mrkaran.dev/posts/isp-monitoring/ for more details on how to set it up.","collectorType":"Telegraf","collectorConfig":"Use the Ping Input plugin (https://github.com/influxdata/telegraf/tree/release-1.15/plugins/inputs/ping) to configure the ping endpoints for Telegraf to collect.","collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-04-08T11:14:13.000Z","updatedAt":"2021-04-08T11:18:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14206"},{"rel":"revisions","href":"/dashboards/14206/revisions"},{"rel":"revision","href":"/dashboards/14206/revisions/1"},{"rel":"download","href":"/dashboards/14206/revisions/1/download"},{"rel":"org","href":"/orgs/mrkaran"},{"rel":"images","href":"/dashboards/14206/images"},{"rel":"thumbnails","href":"/dashboards/14206/thumbnails"}]},{"id":10134,"status":1,"statusCode":"active","orgId":249619,"orgSlug":"luishmnascimento","orgName":"luishmnascimento","slug":"bgp-routeway","downloads":2300,"revisionId":14171,"revision":1,"name":"ISP Network Graffic ","description":"Graficos de Download e Upload, count PPPoE. Ideal para provedores.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2019-05-03T00:40:42.000Z","updatedAt":"2019-05-03T00:41:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/10134"},{"rel":"revisions","href":"/dashboards/10134/revisions"},{"rel":"revision","href":"/dashboards/10134/revisions/1"},{"rel":"download","href":"/dashboards/10134/revisions/1/download"},{"rel":"org","href":"/orgs/luishmnascimento"},{"rel":"images","href":"/dashboards/10134/images"},{"rel":"thumbnails","href":"/dashboards/10134/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":16238,"status":1,"statusCode":"active","orgId":194700,"orgSlug":"arthuurdesign7","orgName":"arthuurdesign7","slug":"isp-provision-zabbix-6-0-dashboard-zabbix-server","downloads":1981,"revisionId":24670,"revision":1,"name":"ISP PROVISION [ZABBIX 6.0] - DASHBOARD - ZABBIX SERVER","description":"DESENVOLVIDO POR ARTHUR OLIVEIRA CONTATO : +5521965890461 / +5583996817062","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2022-05-07T03:58:49.000Z","updatedAt":"2022-05-07T16:52:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/16238"},{"rel":"revisions","href":"/dashboards/16238/revisions"},{"rel":"revision","href":"/dashboards/16238/revisions/1"},{"rel":"download","href":"/dashboards/16238/revisions/1/download"},{"rel":"org","href":"/orgs/arthuurdesign7"},{"rel":"images","href":"/dashboards/16238/images"},{"rel":"thumbnails","href":"/dashboards/16238/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":13140,"status":1,"statusCode":"active","orgId":424583,"orgSlug":"tty0","orgName":"Facu de la Cruz","slug":"network","downloads":1012,"revisionId":19266,"revision":3,"name":"ISP-Checker","description":"Blame your ISP with evidence.","readme":"## ISP-Checker\n\n*ISP-Checker* implements a set of Telegraf checks that send metrics to InfluxDB (an OpenSource, time-series based database) and runs several kinds of metrics collectors to get _average_/_aggregation_/_integral_ of values at first glance and focusing on service quality.\n\n![https://github.com/fmdlc/ISP-Checker/raw/master/img/demo.gif](https://github.com/fmdlc/ISP-Checker/raw/master/img/demo.gif)\n\nISP-Checker tries to test things like _ICMP packet loss_, the average time for _DNS queries resolution_, _HTTP Response times_, _ICMP latencies_, _ICMP Standard Deviation_, _Upload/Download_ speed (by using Speedtest-CLI), and a Graphical _MTR/Traceroute_ version.\n\nIt's easily extensible and it was built on top of Docker to make it portable and easy to run everywhere, importing automatically all components needed to perform checks.\n\nYou need to have `MTR` and  [`Speedtest-CLI`](https://github.com/sivel/speedtest-cli) as a dependency.\n\nCheck [https://github.com/fmdlc/ISP-Checker](https://github.com/fmdlc/ISP-Checker) for more information.\n\n![https://github.com/fmdlc/ISP-Checker/blob/master/img/img_1.png?raw=true](https://github.com/fmdlc/ISP-Checker/blob/master/img/img_1.png?raw=true)","collectorType":"Telegraf","collectorConfig":"```\n[global_tags]\n\n[agent]\n  interval = \"10s\"\n  round_interval = true\n  metric_batch_size = 1000\n  metric_buffer_limit = 10000\n  collection_jitter = \"0s\"\n  flush_interval = \"10s\"\n  flush_jitter = \"0s\"\n  precision = \"\"\n  hostname = \"\"\n  omit_hostname = false\n  debug = false\n\n[[outputs.influxdb]]\n  urls = [\"http://influxdb:8086\"]\n  database = \"$INFLUXDB_DB\"\n  timeout = \"60s\"\n  username = \"$INFLUXDB_ADMIN_USER\"\n  password = \"$INFLUXDB_ADMIN_PASSWORD\"\n  user_agent = \"telegraf\"\n  skip_database_creation = false\n\n[[inputs.system]]\n\n[[inputs.dns_query]]\n   servers = [\"4.2.2.1\", \"8.8.8.8\"]\n   domains = [\"www.google.com\", \"www.twitter.com\", \"www.amazon.com\", \"www.wikipedia.org\"]\n   record_type = \"A\"\n   port = 53\n   timeout = 3\n\n [[inputs.http_response]]\n    urls = [\n      \"http://www.google.com\",\n      \"http://www.twitter.com\",\n      \"http://www.amazon.com\",\n      \"http://www.yahoo.com\"\n    ]\n\n    response_timeout = \"5s\"\n    method = \"GET\"\n    follow_redirects = true\n\n[[inputs.internal]]\n  collect_memstats = true\n\n[[inputs.net]]\n\n[[inputs.netstat]]\n\n[[inputs.ping]]\n  urls = [\n      \"google.com\",\n      \"twitter.com\",\n      \"amazon.com\",\n      \"yahoo.com\"\n    ]\n  method = \"exec\"\n  count = 1\n  ping_interval = 1.0\n  timeout = 5.0\n  deadline = 10\n  binary = \"ping\"\n  ipv6 = false\n\n[[inputs.exec]]\n  commands=[\"mtr -C google.com s3-website.ap-northeast-2.amazonaws.com s3-website.eu-central-1.amazonaws.com s3-website.af-south-1.amazonaws.com\"]\n  timeout = \"3m\"\n  interval = \"10m\"\n  data_format = \"csv\"\n  csv_skip_rows = 1\n  csv_column_names=[ \"\", \"\", \"status\",\"dest\",\"hop\",\"ip\",\"loss\",\"\",\"\", \"\",\"avg\",\"best\",\"worst\",\"stdev\"]\n  name_override = \"mtr\"\n  csv_tag_columns = [\"dest\", \"hop\", \"ip\"]\n\n[[inputs.exec]]\n  commands = [\"/usr/bin/speedtest-cli --csv --bytes\"]\n  name_override = \"speedtest\"\n  timeout = \"3m\"\n  interval = \"10m\"\n  data_format = \"csv\"\n  csv_column_names = ['Server ID','Sponsor','Server Name','Timestamp','Distance','Ping','Download','Upload','Share','IP Address']\n  csv_timestamp_column = \"Timestamp\"\n  csv_timestamp_format = \"2006-01-02T15:04:05Z07:00\"\n```\n","collectorPluginList":"http_response, dns query time, ping, exec, sysstat, net_response, system","datasource":"InfluxDB","privacy":"public","createdAt":"2020-10-11T06:29:18.000Z","updatedAt":"2020-10-25T23:38:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13140"},{"rel":"revisions","href":"/dashboards/13140/revisions"},{"rel":"revision","href":"/dashboards/13140/revisions/3"},{"rel":"download","href":"/dashboards/13140/revisions/3/download"},{"rel":"org","href":"/orgs/tty0"},{"rel":"images","href":"/dashboards/13140/images"},{"rel":"thumbnails","href":"/dashboards/13140/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20155,"status":1,"statusCode":"active","orgId":592947,"orgSlug":"knownspace","orgName":"knownspace","slug":"isp-checker","downloads":271,"revisionId":30989,"revision":1,"name":"ISP-Checker","description":"Blame your ISP with evidence.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-12-14T23:28:27.000Z","updatedAt":"2023-12-14T23:28:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20155"},{"rel":"revisions","href":"/dashboards/20155/revisions"},{"rel":"revision","href":"/dashboards/20155/revisions/1"},{"rel":"download","href":"/dashboards/20155/revisions/1/download"},{"rel":"org","href":"/orgs/knownspace"},{"rel":"images","href":"/dashboards/20155/images"},{"rel":"thumbnails","href":"/dashboards/20155/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21817,"status":1,"statusCode":"active","orgId":1205419,"orgSlug":"rmin","orgName":"rmin","slug":"istio-circuit-breaker","downloads":482,"revisionId":34141,"revision":1,"name":"Istio Circuit Breaker","description":"Monitoring Envoy Connection Pool Overflow and Outlier Detection metrics on 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ElasticSearch","description":"Dashboard for istio ingress gateway","readme":"Dashboard for ingress gateway logs uses ElasticSearch, filebeat and logstash.\nRequirements:\n- Elasticsearch 5.x.x or 6.x.x\n- Filebeat\n- Logstash\n\nTroubleshooting:\n\nIf you are facing this error: `Error: Missing geohash value grafana elasticsearch`\n\n-> Are you using elastic version 6.x.x? I got this error when I used elasticsearch version 6.3.0 and I fixed it by creating a new index with the template below before pushing logs to elasticsearch:\n```\n{\n    \"template\": \"logstash-*\",\n    \"version\": 60001,\n    \"settings\": {\n        \"index.refresh_interval\": \"5s\"\n    },\n    \"mappings\": {\n        \"_default_\": {\n            \"dynamic_templates\": [\n                {\n                    \"message_field\": {\n                        \"path_match\": \"message\",\n                        \"match_mapping_type\": \"string\",\n                        \"mapping\": {\n                            \"type\": \"text\",\n                            \"norms\": false\n                        }\n                    }\n                },\n                {\n                    \"string_fields\": {\n                        \"match\": \"*\",\n                        \"match_mapping_type\": \"string\",\n                        \"mapping\": {\n                            \"type\": \"text\",\n                            \"norms\": false,\n                            \"fields\": {\n                                \"keyword\": {\n                                    \"type\": \"keyword\",\n                                    \"ignore_above\": 256\n                                }\n                            }\n                        }\n                    }\n                }\n            ],\n            \"properties\": {\n                \"@timestamp\": {\n                    \"type\": \"date\"\n                },\n                \"@version\": {\n                    \"type\": \"keyword\"\n                },\n                \"geoip\": {\n                    \"dynamic\": true,\n                    \"properties\": {\n                        \"ip\": {\n                            \"type\": \"ip\"\n                        },\n                        \"location\": {\n                            \"type\": \"geo_point\"\n                        },\n                        \"latitude\": {\n                            \"type\": \"half_float\"\n                        },\n                        \"longitude\": {\n                            \"type\": \"half_float\"\n                        }\n                    }\n                }\n            }\n        }\n    }\n}\n```\nAnd I used kubernetes cronjob to create new index automatically. We have sample python code below.\n```\n#python3\nimport requests\nimport json\nimport datetime\n\ntoday = datetime.date.today()\ntomorrow = today + datetime.timedelta(days=1)\nraw = '{\"template\":\"logstash-*\",\"version\":60001,\"settings\":{\"index.refresh_interval\":\"5s\"},\"mappings\":{\"_default_\":{\"dynamic_templates\":[{\"message_field\":{\"path_match\":\"message\",\"match_mapping_type\":\"string\",\"mapping\":{\"type\":\"text\",\"norms\":false}}},{\"string_fields\":{\"match\":\"*\",\"match_mapping_type\":\"string\",\"mapping\":{\"type\":\"text\",\"norms\":false,\"fields\":{\"keyword\":{\"type\":\"keyword\",\"ignore_above\":256}}}}}],\"properties\":{\"@timestamp\":{\"type\":\"date\"},\"@version\":{\"type\":\"keyword\"},\"geoip\":{\"dynamic\":true,\"properties\":{\"ip\":{\"type\":\"ip\"},\"location\":{\"type\":\"geo_point\"},\"latitude\":{\"type\":\"half_float\"},\"longitude\":{\"type\":\"half_float\"}}}}}}}'\ndata = json.loads(raw)\ncreate_index = requests.put('http://elasticsearch-client:9200/logstash-{}'.format(tomorrow.strftime('%Y.%m.%d')), json=data)\n```\ncronjob.yml\n```\napiVersion: batch/v1beta1\nkind: CronJob\nmetadata:\n  name: elk-automation\nspec:\n  schedule: \"0 2 * * *\"\n  jobTemplate:\n    spec:\n      template:\n        spec:\n          containers:\n          - name: elk-automation\n            image: <your image>\n          restartPolicy: Never\n```\nLink github sample code:\nhttps://github.com/khainguyen95/elasticsearch-template","collectorType":"Beats","collectorConfig":"Install filebeat:\n\nhttps://github.com/helm/charts/tree/master/stable/filebeat  \n```\nfilebeat.inputs:\n    - type: docker\n      containers.ids:\n      - \"*\"\n      processors:\n        - add_kubernetes_metadata:\n            in_cluster: true\n        - drop_event:\n            when:\n              not:\n                equals:\n                  kubernetes.container.name: \"istio-proxy\"\n\n  output.logstash:\n    hosts: [\"logstash:5044\"]\n```\nInstall logstash:\n\nhttps://github.com/helm/charts/tree/master/stable/logstash\n```\ninputs:\n  main: |-\n    input {\n      beats {\n        port => 5044\n      }\n    }\n\nfilters:\n   main: |-\n     filter {\n        grok {\n             match => { \"message\" => '\\[%{TIMESTAMP_ISO8601:[@metadata][timestamp]}\\] \"(?:%{WORD:method} %{NOTSPACE:request}(?: HTTP/%{NUMBER:httpversion})?)\" %{NUMBER:response_code} %{GREEDYDATA:response_flage}\" %{NUMBER:bytes_recieved} %{NUMBER:bytes_sent} %{NUMBER:duration} %{NUMBER:resp} \"%{IP:client_ip},%{GREEDYDATA:other_ip}\" \"%{GREEDYDATA:user_agent}\" \"%{GREEDYDATA:request_id}\" \"%{DATA:domain}\" \"%{IP:upstream_host}:%{NUMBER:upstream_port}\" %{GREEDYDATA:outbound} - %{GREEDYDATA:other}' }\n            }\n            date {\n                match => [\"[@metadata][timestamp]\", \"YYYY-MM-dd HH:mm:ssZ\"]\n                target => \"@timestamp\"\n            }\n            mutate {\n                convert => { \"duration\" => \"integer\" }\n                convert => { \"response_code\" => \"integer\" }\n                convert => { \"bytes_recieved\" => \"integer\" }\n                convert => { \"bytes_sent\" => \"integer\" }\n                convert => { \"resp\" => \"integer\" }\n            }\n            geoip {\n              source => \"client_ip\"\n            }\n     }\n\noutputs:\n  main: |-\n    output {\n      elasticsearch {\n        hosts => [\"${ELASTICSEARCH_HOST}:${ELASTICSEARCH_PORT}\"]\n        manage_template => false\n        index => \"logstash-%{+YYYY.MM.dd}\"\n      }\n    }\n```","collectorPluginList":"Filebeat, 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[Website](https://www.itsm-ng.com)\r\n  - [Github](https://github.com/itsmng)\r\n  - [Wiki](https://wiki.itsm-ng.org)\r\n\r\n# Setup Grafana dashboard\r\n\r\nTo install and configure ITSM-NG Grafana dashboard, please refer to our documentation : [Grafana dashboard](https://wiki.itsm-ng.org/third-party/grafana/).\r\n\r\n# Report list \r\n\r\nThe default provided dashboard contains three different type of reporting : \r\n\r\n* Ticketing\r\n\t* Tickets opened per day\r\n\t* Tickets per location / category / user group\r\n\t* Tickets with exceeded resolution time\r\n\t* Tickets with exceeded resolution time last month\r\n\t* Tickets with time to open exceeded last month\r\n\r\n![](https://wiki.itsm-ng.org/img/grafana/grafana_dashboard_ticketing.png)\r\n\r\n* Assets\r\n\t* Computers per location / status / warranty / manufacturer\r\n\t* Network equipment per type / manufacturer\r\n\t* Number of network equipment\r\n\r\n![](https://wiki.itsm-ng.org/img/grafana/grafana_dashboard_asset.png)\r\n\r\n* Financial\r\n\t* Total budget\r\n\t* Budget per type\r\n\t* Expenses per budget\r\n\t* Amortizations duration\r\n\t* Computers per supplier / amortization type\r\n\t* Network equipment per supplier\r\n\r\n![](https://wiki.itsm-ng.org/img/grafana/grafana_dashboard_financial.png)\r\n\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"JSON API","privacy":"public","createdAt":"2023-02-03T08:50:05.000Z","updatedAt":"2023-02-03T09:13:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18033"},{"rel":"revisions","href":"/dashboards/18033/revisions"},{"rel":"revision","href":"/dashboards/18033/revisions/1"},{"rel":"download","href":"/dashboards/18033/revisions/1/download"},{"rel":"org","href":"/orgs/itsmng"},{"rel":"images","href":"/dashboards/18033/images"},{"rel":"thumbnails","href":"/dashboards/18033/thumbnails"}],"datasourceSlugs":["marcusolsson-json-datasource"]},{"id":13619,"status":1,"statusCode":"active","orgId":448811,"orgSlug":"marijaradezhova","orgName":"marijaradezhova","slug":"iwdashboard","downloads":886,"revisionId":19887,"revision":1,"name":"IWDashboard","description":"IW Dashboard for presenting JMeter and Jenkins metrics of test executions","readme":"The IW dashboard template consists of several sections:\n\n      •\tHeader\n      •\tSummary\n      •\tErrors\n      •\tIndividual Transaction summary\n      •\tJenkins Executions\n\nThe sections are divided into separate raw panels for the easy view (show/hide) of the panels. 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Works with 1.9+. Feedbacks? 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\r\nhttps://github.com/yo000/rctl_exporter\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-22T20:00:11.000Z","updatedAt":"2023-09-09T11:56:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13451"},{"rel":"revisions","href":"/dashboards/13451/revisions"},{"rel":"revision","href":"/dashboards/13451/revisions/2"},{"rel":"download","href":"/dashboards/13451/revisions/2/download"},{"rel":"org","href":"/orgs/johan11"},{"rel":"images","href":"/dashboards/13451/images"},{"rel":"thumbnails","href":"/dashboards/13451/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17305,"status":1,"statusCode":"active","orgId":734962,"orgSlug":"grahamaross","orgName":"grahamaross","slug":"jakiper-battery","downloads":272,"revisionId":26608,"revision":1,"name":"Jakiper Battery","description":"Sample dashboard for the 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}\r\n        }\r\n        return false;\r\n    }\r\n\r\n    @Autowired\r\n    private MetricRegistry metricRegistry;\r\n\r\n    @Override\r\n    protected void doFilterInternal(HttpServletRequest request, HttpServletResponse response, FilterChain filterChain) throws ServletException, IOException {\r\n        String uri = request.getRequestURI().replaceAll(\"[/\\\\.]\", \"_\");\r\n        long startTime = System.nanoTime();\r\n        long duration = 0L;\r\n        try {\r\n            filterChain.doFilter(request, response);\r\n            duration = System.nanoTime() - startTime;\r\n        } finally {\r\n            //优先取本次记录的错误码\r\n            Integer statusCode = (Integer) request.getAttribute(Constants.SERVER_ERROR_CODE);\r\n            if (statusCode == null) {\r\n                statusCode = response.getStatus();\r\n            }\r\n\r\n            //记录分析数据\r\n            Timer timer = metricRegistry.timer(uri + \".\" + statusCode + METRIC_SUFFIX_TIME);\r\n            timer.update(duration, TimeUnit.NANOSECONDS);\r\n\r\n            if (log.isInfoEnabled()) {\r\n                log.info(\"req: url={}, time={}ms, status={}\", uri, TimeUnit.MILLISECONDS.convert(duration, TimeUnit.NANOSECONDS), statusCode);\r\n            }\r\n        }\r\n    }\r\n}\r\n\r\n2.指标上报配置类MetricsConfiguration.java\r\n@Configuration\r\n@ConditionalOnClass(MetricRegistry.class)\r\n@EnableMetrics\r\n@AutoConfigureAfter(MetricsConfig.class)\r\n@Log4j2\r\npublic class MetricsConfiguration extends MetricsConfigurerAdapter {\r\n    @Value(\"${spring.application.name}\")\r\n    private String applicationName;\r\n\r\n    @Autowired\r\n    private MetricsConfig metricsConfig;\r\n\r\n    @Override\r\n    public void configureReporters(MetricRegistry metricRegistry) {\r\n        // 采集jvm指标\r\n        metricRegistry.register(\"-.-.jvm.gc\", new com.codahale.metrics.jvm.GarbageCollectorMetricSet());\r\n        metricRegistry.register(\"-.-.jvm.memory\", new com.codahale.metrics.jvm.MemoryUsageGaugeSet());\r\n        metricRegistry.register(\"-.-.jvm.thread-states\", new com.codahale.metrics.jvm.ThreadStatesGaugeSet());\r\n        metricRegistry.register(\"-.-.jvm.fd.usage\", new com.codahale.metrics.jvm.FileDescriptorRatioGauge());\r\n\r\n        // 配置Influxdb\r\n        HttpInfluxdbProtocol influxdbProtocol = new HttpInfluxdbProtocol(\"http\", metricsConfig.getHost(), metricsConfig.getPort(), metricsConfig.getUsername(), metricsConfig.getPassword(), metricsConfig.getDb());\r\n        InfluxdbReporter.Builder builder = InfluxdbReporter.forRegistry(metricRegistry).protocol(influxdbProtocol);\r\n        builder.convertRatesTo(TimeUnit.SECONDS).convertDurationsTo(TimeUnit.MILLISECONDS);\r\n        builder.filter(MetricFilter.ALL).skipIdleMetrics(true);\r\n        builder.tag(\"server\", applicationName).tag(\"ip\", HttpUtil.getDockerHostIp()).tag(\"cid\", HttpUtil.getLocalHostName());\r\n        builder.transformer(new CategoriesMetricMeasurementTransformer(\"url\", \"code\"));\r\n\r\n        // 启动上报\r\n        ScheduledReporter reporter = builder.build();\r\n        reporter.start(metricsConfig.getPeriod(), TimeUnit.SECONDS);\r\n\r\n        log.debug(\"grafana上报初始化完成：host={}, port={}, db={}\", metricsConfig.getHost(), metricsConfig.getPort(), metricsConfig.getDb());\r\n    }\r\n\r\n}","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-06-14T07:50:52.000Z","updatedAt":"2019-06-14T08:01:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10341"},{"rel":"revisions","href":"/dashboards/10341/revisions"},{"rel":"revision","href":"/dashboards/10341/revisions/1"},{"rel":"download","href":"/dashboards/10341/revisions/1/download"},{"rel":"org","href":"/orgs/leexq"},{"rel":"images","href":"/dashboards/10341/images"},{"rel":"thumbnails","href":"/dashboards/10341/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":3308,"status":1,"statusCode":"active","orgId":45440,"orgSlug":"bartvanbos","orgName":"Bart Van Bos","slug":"java-micrometer","downloads":5715,"revisionId":4979,"revision":2,"name":"Java Micrometer","description":"Java metrics exposed with Micrometer","readme":"Grafana dashboard for metrics exposed through MicroMeter in a Spring Boot application that is running as a MicroService in a Kubernetes Container environment. The following list of metrics is exposed:\r\n - Uptime metrics\r\n - CPU metrics\r\n - Logback metrics\r\n - JVM Thread, Memory and Garbage Collection metrics\r\n - Class Loader metrics\r\n - HTTP Server metrics\r\n\r\nMore information on Micrometer can be found at http://micrometer.io/docs/prometheus","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-09-26T21:15:12.000Z","updatedAt":"2017-11-01T09:12:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":1,"links":[{"rel":"self","href":"/dashboards/3308"},{"rel":"revisions","href":"/dashboards/3308/revisions"},{"rel":"revision","href":"/dashboards/3308/revisions/2"},{"rel":"download","href":"/dashboards/3308/revisions/2/download"},{"rel":"org","href":"/orgs/bartvanbos"},{"rel":"images","href":"/dashboards/3308/images"},{"rel":"thumbnails","href":"/dashboards/3308/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4683,"status":1,"statusCode":"active","orgId":121296,"orgSlug":"nobusugi246","orgName":"nobusugi246","slug":"java-micrometer-basics","downloads":1581,"revisionId":6333,"revision":7,"name":"Java Micrometer Basics","description":"","readme":"https://github.com/nobusugi246/prometheus-grafana-spring-mac\r\n\r\n1. docker-compose.yml for Prometheus and Grafana Containers.\r\n2. Spring Boot (Ver.1.5.10) sample project with Actuator Micrometer for Prometheus.\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-02-12T14:32:03.000Z","updatedAt":"2018-02-17T13:56:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/4683"},{"rel":"revisions","href":"/dashboards/4683/revisions"},{"rel":"revision","href":"/dashboards/4683/revisions/7"},{"rel":"download","href":"/dashboards/4683/revisions/7/download"},{"rel":"org","href":"/orgs/nobusugi246"},{"rel":"images","href":"/dashboards/4683/images"},{"rel":"thumbnails","href":"/dashboards/4683/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16567,"status":1,"statusCode":"active","orgId":530903,"orgSlug":"halibobo1205","orgName":"halibobo1205","slug":"java-tron-server","downloads":605,"revisionId":25497,"revision":2,"name":"java tron server","description":"Monitor your java-tron server with Prometheus and Grafana.","readme":"# Java Tron Server Dashboard\r\nMonitor your Java Tron server and view detailed information on the current status of the blockchain. This Grafana Dashboard requires you to have a running instance of prometheus and java-tron fullNode which open metric.\r\n\r\n## prometheus config\r\n\r\n```yaml\r\nglobal:\r\n  scrape_interval: 30s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nscrape_configs:\r\n- job_name: java-tron\r\n  scrape_interval: 3s\r\n  scrape_timeout: 2s\r\n  metrics_path: /metrics\r\n  static_configs:\r\n  - targets:\r\n    - 127.0.0.1:9527\r\n    labels:\r\n      group: group-main\r\n      instance: instance-01\r\n  - targets:\r\n    - 172.0.0.12:9528\r\n    labels:\r\n      group: group-test\r\n      instance: instance-02 \r\n```\r\n## Features\r\n* Blockchain current status.\r\n* Node system status .\r\n* JVM status.\r\n* Block and transaction status.\r\n* Net Peer status.\r\n* API info.\r\n* DB info.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-07-12T09:15:31.000Z","updatedAt":"2022-08-01T03:27:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16567"},{"rel":"revisions","href":"/dashboards/16567/revisions"},{"rel":"revision","href":"/dashboards/16567/revisions/2"},{"rel":"download","href":"/dashboards/16567/revisions/2/download"},{"rel":"org","href":"/orgs/halibobo1205"},{"rel":"images","href":"/dashboards/16567/images"},{"rel":"thumbnails","href":"/dashboards/16567/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25300,"status":1,"statusCode":"active","orgId":1768512,"orgSlug":"jeonggm23","orgName":"jeonggm23","slug":"java-tron-server","downloads":3,"revisionId":40772,"revision":1,"name":"java tron server","description":"Monitor your java-tron server with Prometheus and Grafana.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-05-15T15:27:54.000Z","updatedAt":"2026-05-15T15:28:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25300"},{"rel":"revisions","href":"/dashboards/25300/revisions"},{"rel":"revision","href":"/dashboards/25300/revisions/1"},{"rel":"download","href":"/dashboards/25300/revisions/1/download"},{"rel":"org","href":"/orgs/jeonggm23"},{"rel":"images","href":"/dashboards/25300/images"},{"rel":"thumbnails","href":"/dashboards/25300/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19531,"status":1,"statusCode":"active","orgId":427502,"orgSlug":"geva1","orgName":"gregeva","slug":"java-virtual-machine","downloads":1134,"revisionId":38815,"revision":4,"name":"Java Virtual Machine","description":"v2.2 - add thread states terminated, timed waiting, align colors","readme":"The following JMX Exporter configuration selectively collects specific relevant MBean attributes from the Java Virtual Machine.  Contrary to using a wildcard pattern, this allows for specifically applying labels with things like pool names, as well as standardising on metric names across JVM versions and configurations.\r\n\r\nYou might note the commented section which I was not able to get working.  Please contact me if you can help to get these two missing specific call outs working as it would allow to remove the wildcard pattern for the missing one or two essential metrics.\r\n\r\nYou'll even find an overview and use of this dashboard on my YouTube channel. https://youtu.be/27Yc3gdeuQ0?si=zXXFy26k7iplBRrN\r\n\r\n```yml\r\n---   \r\n# Configuration by Greg Eva (geva@ptc.com) - please contact for questions or suggested changes/enhancements\r\nlowercaseOutputLabelNames: false\r\nlowercaseOutputName: true\r\n# Eventually could put back whitelist, however are very specifically pulling only relevant attributes anyway\r\n#whitelistObjectNames: [\"java.lang:type=OperatingSystem\", \"java.lang:type=Memory\", \"java.lang:type=MemoryPool\", \"java.lang:type=Threading\", \"java.lang:type=GarbageCollector\", \"Catalina:*\", \"com.mchange.v2.c3p0:*\" , \"org.apache.commons.pool2:*\"]\r\n#blacklistObjectNames: []\r\n\r\nrules:\r\n## JAVA VIRTUAL MACHINE ##\r\n- pattern: 'java.lang<type=OperatingSystem><>(ProcessCpuLoad|SystemCpuLoad|SystemLoadAverage|AvailableProcessors):'\r\n  name: jvm_processor_$1\r\n  help: Java Virtual Machine processor load for $1\r\n  type: GAUGE\r\n\r\n- pattern: 'java.lang<type=OperatingSystem><>(\\w+)FileDescriptorCount:'\r\n  name: jvm_filedescriptor_$1_count\r\n  help: Java Virtual Machine open and maximum file descriptors\r\n  type: GAUGE\r\n\r\n- pattern: 'java.lang<type=OperatingSystem><>(TotalSwapSpace|FreeSwapSpace|TotalPhysicalMemorySize|FreePhysicalMemorySize):'\r\n  name: jvm_memory_$1_bytes\r\n  help: Java Virtual Machine memory for $1\r\n  type: GAUGE\r\n\r\n- pattern: 'java.lang<type=Threading><>(CurrentThreadCpuTime|CurrentThreadUserTime):'\r\n  name: jvm_threads_$1_total\r\n  help: Java Virtual Machine threads for $1\r\n  type: COUNTER\r\n\r\n- pattern: 'java.lang<type=Memory><(\\w+)MemoryUsage>(\\w+): (\\d+)'\r\n  name: jvm_memory_bytes_$2\r\n  labels:\r\n    area: \"$1\"  # Heap/NonHeap\r\n    value: $3\r\n  type: GAUGE\r\n\r\n# Skipping GC related metrics, as they come in with the Java agent exporter implementation (not HTTP server)\r\n# Ideally I would like these two metrics, but I cannot get the JMX query to work\r\n# LastGcInfo before and after memory details not needed as present on jvm_memory_pool_allocated_bytes_total\r\n#- pattern: 'java.lang<name=([-a-zA-Z0-9+/$%~_-|!.]*),type=GarbageCollector><LastGcInfo>(GcThreadCount|duration)'\r\n#  name: jvm_gc_$2\r\n#  labels:\r\n#    pool: $1\r\n#  help: Java Virtual Machine garbage collection for $1\r\n#  type: GAUGE\r\n```\r\n\r\nYou will then need to either change your Java application service to include the JMX Exporter as a Java agent, or add it to the JAVA_OPTS so that the exporter with associated configuration file will be loaded with the JVM.\r\n\r\n```BASH\r\n-javaagent:/opt/jmx_exporter/jmx_prometheus_javaagent-0.20.0.jar=9111:/opt/jmx_exporter/jmx-exporter-config.yaml\r\n```\r\n\r\nAnd then add the relevant Prometheus scrape configuration for the above JMX Exporter configuration.  Consult the Prometheus documentation should you need to enhance it.\r\n\r\n```YAML\r\n  - job_name: 'jmx'\r\n\r\n    static_configs:\r\n    - targets: ['wer-twx-foundation:9111', 'wer-twx-iothubconnector:9111']\r\n```\r\n\r\nYou'll note the YAML list which allows adding multiple servers to scrape.  You can break these out across multiple lines if you wish to apply specific application or other labels as a part of the scrape.  Example:\r\n\r\n```YAML\r\n    - targets:\r\n      - simulator.japaneast.cloudapp.azure.com:9111\r\n      labels:\r\n        group: Simulators\r\n        region: Japan\r\n    - targets:\r\n      - simulator.centralus.cloudapp.azure.com:9111\r\n      labels:\r\n        group: Simulators\r\n        region: USA\r\n    - targets:\r\n      - simulator.germanywestcentral.cloudapp.azure.com:9111\r\n      labels:\r\n        group: Simulators\r\n        region: Germany\r\n    - targets:\r\n      - simulator.koreacentral.cloudapp.azure.com:9111\r\n      labels:\r\n        group: Simulators\r\n        region: Korea\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-09-11T11:30:11.000Z","updatedAt":"2025-11-04T15:47:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19531"},{"rel":"revisions","href":"/dashboards/19531/revisions"},{"rel":"revision","href":"/dashboards/19531/revisions/4"},{"rel":"download","href":"/dashboards/19531/revisions/4/download"},{"rel":"org","href":"/orgs/geva1"},{"rel":"images","href":"/dashboards/19531/images"},{"rel":"thumbnails","href":"/dashboards/19531/thumbnails"}]},{"id":24714,"status":1,"statusCode":"active","orgId":1645542,"orgSlug":"bf1137127273","orgName":"bf1137127273","slug":"app-metrics","downloads":9,"revisionId":39612,"revision":1,"name":"java-metrics","description":"java actuator metrics","readme":"使用最新java actuator 暴露prometheus指标","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-01-20T08:58:18.000Z","updatedAt":"2026-01-20T09:20:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24714"},{"rel":"revisions","href":"/dashboards/24714/revisions"},{"rel":"revision","href":"/dashboards/24714/revisions/1"},{"rel":"download","href":"/dashboards/24714/revisions/1/download"},{"rel":"org","href":"/orgs/bf1137127273"},{"rel":"images","href":"/dashboards/24714/images"},{"rel":"thumbnails","href":"/dashboards/24714/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17186,"status":1,"statusCode":"active","orgId":724048,"orgSlug":"awsobservability","orgName":"awsobservability","slug":"java-jmx","downloads":1290,"revisionId":26407,"revision":1,"name":"Java/JMX","description":"Dashboard for JVM metrics with Prometheus / JMX Exporter","readme":"This dashboard is part of the [AWS Observability Accelerator](https://aws.amazon.com/blogs/mt/announcing-aws-observability-accelerator-to-configure-comprehensive-observability-for-amazon-eks/) and enables you to monitor JVM metrics with Prometheus / JMX Exporter.\r\n\r\nFor an automated end-to-end setup based on Terraform as well as to provide feedback or report an issue with the dashboard, please visit the [AWS Observability Accelerator GitHub repo](https://github.com/aws-observability/terraform-aws-observability-accelerator/issues).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-10-14T08:41:09.000Z","updatedAt":"2022-10-14T13:44:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17186"},{"rel":"revisions","href":"/dashboards/17186/revisions"},{"rel":"revision","href":"/dashboards/17186/revisions/1"},{"rel":"download","href":"/dashboards/17186/revisions/1/download"},{"rel":"org","href":"/orgs/awsobservability"},{"rel":"images","href":"/dashboards/17186/images"},{"rel":"thumbnails","href":"/dashboards/17186/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8018,"status":1,"statusCode":"active","orgId":191075,"orgSlug":"goelneeraj","orgName":"Neeraj Goel","slug":"java-weblogic-metrics","downloads":1776,"revisionId":10907,"revision":1,"name":"Java/Weblogic Metrics","description":"This Dashboard displays the information about Java Heap, JDBC Data Sources and Java Threads.","readme":"This Dashboard displays the information about Java Heap, JDBC Data Sources and Java Threads. It is based on custom scripts which fetches the data during run-time and stored in the Influx DB.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-09-20T08:53:10.000Z","updatedAt":"2018-09-20T08:58:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/8018"},{"rel":"revisions","href":"/dashboards/8018/revisions"},{"rel":"revision","href":"/dashboards/8018/revisions/1"},{"rel":"download","href":"/dashboards/8018/revisions/1/download"},{"rel":"org","href":"/orgs/goelneeraj"},{"rel":"images","href":"/dashboards/8018/images"},{"rel":"thumbnails","href":"/dashboards/8018/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":4496,"status":1,"statusCode":"active","orgId":116921,"orgSlug":"xcraft","orgName":"Sergey 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It provides comprehensive insights into the Jenkins build status and performance metrics.\r\n\r\n### Instructions to Clone the Code\r\n\r\nTo use this dashboard, first clone the code repository from GitHub:\r\n\r\n```bash\r\ngit clone https://github.com/ynixon/jenkins-collector.git\r\n```\r\n\r\n### Setup and Deployment\r\n\r\nAfter cloning, follow the setup and deployment instructions provided in the repository's README. The README contains detailed steps to build, tag, push, and run the Docker container for the Jenkins Collector.\r\n\r\nLink to repository: [ynixon/jenkins-collector on GitHub](https://github.com/ynixon/jenkins-collector).\r\n\r\n### Additional Notes\r\n\r\n- Ensure your Jenkins and InfluxDB credentials are stored securely.\r\n- The default logging level is set to `INFO`. You can adjust it to `DEBUG` if more detailed logs are required.\r\n- Check the README for more security considerations and best 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This dashboard provide jobs queue speeds and rates, executors availability, nodes status, host and JVM resource usage.\r\n\r\nTo gather the metrics from Jenkins you will need some plugins...\r\n\r\nExposes the Jackson 2 API to other Jenkins plugins: https://wiki.jenkins-ci.org/display/JENKINS/Jackson2+API+Plugin\r\nExposes the Codahale Dropwizard Metrics API: https://wiki.jenkins-ci.org/display/JENKINS/Metrics+Plugin\r\nReport metrics to Graphite: https://wiki.jenkins-ci.org/display/JENKINS/Metrics+Graphite+Plugin\r\n\r\nAfter plugins reboot Jenkins and go to \"Jenkins > Manage Jenkins > Configure System\", make sure to define your Graphite hostname, port and for prefix use \"jenkins\" to make it work almost out of the box ;)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2016-07-22T20:46:46.000Z","updatedAt":"2016-07-22T21:50:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/233"},{"rel":"revisions","href":"/dashboards/233/revisions"},{"rel":"revision","href":"/dashboards/233/revisions/1"},{"rel":"download","href":"/dashboards/233/revisions/1/download"},{"rel":"org","href":"/orgs/sur1v"},{"rel":"images","href":"/dashboards/233/images"},{"rel":"thumbnails","href":"/dashboards/233/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":306,"status":1,"statusCode":"active","orgId":25767,"orgSlug":"lubovarganike","orgName":"lubovarganike","slug":"jenkins-performance-and-health-overview","downloads":4388,"revisionId":402,"revision":1,"name":"Jenkins: Performance and health overview","description":"Jobs queue speeds and rates, Executors availability, Nodes status, Jenkins and JVM resource usage.\r\n\r\nCreated as copy of a bit nicer dashboard, which is using graphite datasource.","readme":"Just install https://wiki.jenkins-ci.org/display/JENKINS/Prometheus+Plugin plugin for jenkins, start monitoring it by your prometheus and than use this dashboard.\r\n\r\nNOTE: Dashboard is prepared to handle only single instance of monitored jenkins on single datasource. Should be improved by a bit templating magic.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-08-11T15:15:28.000Z","updatedAt":"2016-08-11T15:17:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/306"},{"rel":"revisions","href":"/dashboards/306/revisions"},{"rel":"revision","href":"/dashboards/306/revisions/1"},{"rel":"download","href":"/dashboards/306/revisions/1/download"},{"rel":"org","href":"/orgs/lubovarganike"},{"rel":"images","href":"/dashboards/306/images"},{"rel":"thumbnails","href":"/dashboards/306/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15166,"status":1,"statusCode":"active","orgId":263111,"orgSlug":"karstensiemer","orgName":"karstensiemer","slug":"jenkins-performance-and-health-overview","downloads":3212,"revisionId":22729,"revision":1,"name":"Jenkins: Performance and Health 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It works seamlessly with the https://github.com/pgodlews/jetson-orin-exporter to visualize live system telemetry exposed by `jetson-stats` (jtop).\r\n\r\n**Tested heavily on Jetson AGX Orin and Jetson Orin Nano boards.**\r\n\r\n## Features\r\n- **GPU Metrics**: Overall utilization (%) and Unified memory profiling. \r\n- **CPU Metrics**: Live per-core workload scaling and core frequency tracking (Hz).\r\n- **Thermal Analytics (Tj)**: Continuous monitoring of SoC thermal zones to quickly spot hardware throttling before it brings workloads down.\r\n- **Power Consumption**: Real-time wattage across the entire board, plus deep dives into per-rail power monitors (e.g. CPU, GPU, CV, SYS5V).\r\n- **Hardware Engines**: Running states and active frequencies for fixed-function hardware (DLA, NVENC, NVDEC).\r\n- **Cooling &amp; Storage**: Live fan RPM/PWM tracking and Disk/Swap capacity.\r\n- **System Internals**: Current \"NVP Model\" power profile, EMC (Memory Controller) frequency, and `jetson_clocks` active status.\r\n\r\n## ⚙️ Prerequisites\r\n\r\n1. An NVIDIA Jetson board running JetPack 6 / Ubuntu 22.04.\r\n2. The official `jtop` service  https://github.com/rbonghi/jetson_stats `v4.3.0` or higher\r\n3. The open-source  https://github.com/pgodlews/jetson-orin-exporter running on the Jetson target.\r\n\r\n## 🚀 Setup Instructions\r\n\r\nSetting up the exporter on your Jetson takes under two minutes. Simply clone the repository on your target device and start the daemon:\r\n\r\n```bash\r\n# 1. Clone the repository\r\ngit clone https://github.com/pgodlews/jetson-orin-exporter.git\r\ncd jetson-orin-exporter\r\n\r\n# 2. Install dependencies\r\nsudo pip3 install -r requirements.txt\r\n\r\n# 3. Test the exporter daemon\r\nsudo mkdir -p /opt/jetson_exporter\r\nsudo cp jetson_exporter.py /opt/jetson_exporter/\r\npython3 /opt/jetson_exporter/jetson_exporter.py\r\n```\r\n\r\n*(For proper production systemd service installation so it starts directly on boot, see the full guide on the https://github.com/pgodlews/jetson-orin-exporter \r\n\r\nOnce running, point your Prometheus scrape config to the device (`target_ip:9101`), select your Prometheus datasource dynamically in this dashboard, and your Jetson metrics will instantly populate!\r\n\r\n\r\n\r\n**Tags:** `nvidia`, `jetson`, `orin`, `jtop`, `gpu`, `edge`, `hardware`, `host-metrics`","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-03-29T18:06:58.000Z","updatedAt":"2026-03-31T16:44:11.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25079"},{"rel":"revisions","href":"/dashboards/25079/revisions"},{"rel":"revision","href":"/dashboards/25079/revisions/1"},{"rel":"download","href":"/dashboards/25079/revisions/1/download"},{"rel":"org","href":"/orgs/pgodlews"},{"rel":"images","href":"/dashboards/25079/images"},{"rel":"thumbnails","href":"/dashboards/25079/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16195,"status":1,"statusCode":"active","orgId":639979,"orgSlug":"haribabupuppala","orgName":"haribabupuppala","slug":"jetty-prometheus-dashboard","downloads":595,"revisionId":24595,"revision":1,"name":"Jetty Dashboard","description":"Grafana dashboard using Prometheus datasource to view Jetty 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metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-11-11T15:53:33.000Z","updatedAt":"2018-11-11T15:56:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8915"},{"rel":"revisions","href":"/dashboards/8915/revisions"},{"rel":"revision","href":"/dashboards/8915/revisions/1"},{"rel":"download","href":"/dashboards/8915/revisions/1/download"},{"rel":"org","href":"/orgs/mara"},{"rel":"images","href":"/dashboards/8915/images"},{"rel":"thumbnails","href":"/dashboards/8915/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14594,"status":1,"statusCode":"active","orgId":510781,"orgSlug":"stephaniehingtgen","orgName":"stephaniehingtgen","slug":"jira","downloads":1269,"revisionId":21730,"revision":2,"name":"Jira","description":"Shows Jira server and usage metrics","readme":"# Overview\nThis dashboard is meant to help monitor the health of a JIRA server. It is based on the metrics exported by the JIRA Prometheus Exporter. \n\n## Prometheus Exporter\nThis dashboard relies on the usage of the [JIRA prometheus exporter](https://github.com/AndreyVMarkelov/jira-prometheus-exporter). \n\nOn the Atlassian Marketplace, there is a [free version of the exporter](https://marketplace.atlassian.com/apps/1222502/prometheus-exporter-for-jira?hosting=server&tab=overview) if you are running your own JIRA server and a [pro version](https://marketplace.atlassian.com/apps/1217960/prometheus-exporter-pro-for-jira?tab=overview&hosting=datacenter) if you are running on a hosted JIRA server.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-06-17T17:10:54.000Z","updatedAt":"2021-06-30T15:38:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14594"},{"rel":"revisions","href":"/dashboards/14594/revisions"},{"rel":"revision","href":"/dashboards/14594/revisions/2"},{"rel":"download","href":"/dashboards/14594/revisions/2/download"},{"rel":"org","href":"/orgs/stephaniehingtgen"},{"rel":"images","href":"/dashboards/14594/images"},{"rel":"thumbnails","href":"/dashboards/14594/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18022,"status":1,"statusCode":"active","orgId":762844,"orgSlug":"return200ok","orgName":"return200ok","slug":"jira-jmx-server-dashboard","downloads":700,"revisionId":27643,"revision":1,"name":"Jira Server Dashboard","description":"Shows Jira JVM and usage metrics","readme":"1. Go to Jira administration > Manage apps\r\n2. Search plugin `Prometheus Exporter For Jira` and install \r\n3. After plug-in is successfully installed the following link can be used to expose metrics: `plugins/servlet/prometheus/metrics`\r\n4. The prometheus.yml settings\r\n```\r\n  - job_name: 'jira'\r\n    scheme: http \r\n    metrics_path: '/plugins/servlet/prometheus/metrics'\r\n    params:\r\n         token: ['OvFKyqNsqvKLNk0YVOQ7ER2e9u4hs92DbkI'] \r\n    static_configs:\r\n      - targets: ['192.168.3.56:8089'] \r\n```\r\n5. Import Grafana Dashboard","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-01T08:57:21.000Z","updatedAt":"2023-02-01T09:22:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18022"},{"rel":"revisions","href":"/dashboards/18022/revisions"},{"rel":"revision","href":"/dashboards/18022/revisions/1"},{"rel":"download","href":"/dashboards/18022/revisions/1/download"},{"rel":"org","href":"/orgs/return200ok"},{"rel":"images","href":"/dashboards/18022/images"},{"rel":"thumbnails","href":"/dashboards/18022/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18021,"status":1,"statusCode":"active","orgId":762844,"orgSlug":"return200ok","orgName":"return200ok","slug":"jira-sprint-summary","downloads":763,"revisionId":27642,"revision":1,"name":"Jira Sprint Summary","description":"The `Jira Sprint Summary Dashboard` dashboard presents sprint summary from Jira.","readme":"## Quick start with `docker`\r\nRun command below (edit env):\r\n```\r\ndocker run -d \\\r\n-eJIRA_URL = 'http://jira_server:8080' \\\r\n-eJIRA_USER = 'jira_user' \\\r\n-eJIRA_PASSWORD = 'jira_password' \\\r\n-eINFLUX_TOKEN=\"KlXfBqa0uSGs0icfE-3g8FsQAoC9...\" \\\r\n-eINFLUX_DB=\"http://192.168.3.101:8086\" \\\r\n-eINFLUX_ORG=\"org\" \\\r\n-eBUCKET_NAME=\"jenkins_test\" \\\r\nreturn200/jira-influx-collector:0.1\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-02-01T08:52:10.000Z","updatedAt":"2023-02-01T08:56:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18021"},{"rel":"revisions","href":"/dashboards/18021/revisions"},{"rel":"revision","href":"/dashboards/18021/revisions/1"},{"rel":"download","href":"/dashboards/18021/revisions/1/download"},{"rel":"org","href":"/orgs/return200ok"},{"rel":"images","href":"/dashboards/18021/images"},{"rel":"thumbnails","href":"/dashboards/18021/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":25145,"status":1,"statusCode":"active","orgId":1727321,"orgSlug":"jamespbrett","orgName":"jamespbrett","slug":"jira-support-ticket-dashboard-v3-consolidated","downloads":12,"revisionId":40426,"revision":1,"name":"Jira Support Ticket Dashboard V3 — Consolidated","description":"Jira Support Dashboard V3 — Consolidated API calls. 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It shows information about current Conferences, Participants and Bitrates. It also shows some information about Videostreams and how many minutes your instance served the conferences.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-19T17:57:41.000Z","updatedAt":"2024-04-09T17:20:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12098"},{"rel":"revisions","href":"/dashboards/12098/revisions"},{"rel":"revision","href":"/dashboards/12098/revisions/6"},{"rel":"download","href":"/dashboards/12098/revisions/6/download"},{"rel":"org","href":"/orgs/doron"},{"rel":"images","href":"/dashboards/12098/images"},{"rel":"thumbnails","href":"/dashboards/12098/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11925,"status":1,"statusCode":"active","orgId":361020,"orgSlug":"towolf","orgName":"towolf","slug":"jitsi-meet","downloads":1299,"revisionId":16922,"revision":1,"name":"Jitsi Meet","description":"Dashboard for stats gathered by 3rd party exporter karrieretutor/jitsi-prom-exporter","readme":"Dashboard for all metrics exported by karrieretutor/jitsi-prom-exporter, which crawls the JVB presence stats in MUC room described under https://github.com/jitsi/jitsi-videobridge/blob/master/doc/statistics.md.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-17T09:04:06.000Z","updatedAt":"2020-03-17T09:08:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11925"},{"rel":"revisions","href":"/dashboards/11925/revisions"},{"rel":"revision","href":"/dashboards/11925/revisions/1"},{"rel":"download","href":"/dashboards/11925/revisions/1/download"},{"rel":"org","href":"/orgs/towolf"},{"rel":"images","href":"/dashboards/11925/images"},{"rel":"thumbnails","href":"/dashboards/11925/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13827,"status":1,"statusCode":"active","orgId":460807,"orgSlug":"jit","orgName":"jitsi_dashboard","slug":"jitsi-meet","downloads":327,"revisionId":20232,"revision":1,"name":"Jitsi Meet","description":"Dashboard for stats gathered by 3rd party exporter karrieretutor/jitsi-prom-exporter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-02-03T19:44:43.000Z","updatedAt":"2021-02-03T19:45:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13827"},{"rel":"revisions","href":"/dashboards/13827/revisions"},{"rel":"revision","href":"/dashboards/13827/revisions/1"},{"rel":"download","href":"/dashboards/13827/revisions/1/download"},{"rel":"org","href":"/orgs/jit"},{"rel":"images","href":"/dashboards/13827/images"},{"rel":"thumbnails","href":"/dashboards/13827/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12282,"status":1,"statusCode":"active","orgId":196581,"orgSlug":"doron","orgName":"systemli","slug":"jitsi-meet-system","downloads":3785,"revisionId":32340,"revision":5,"name":"Jitsi Meet & System","description":"Dashboard for Jitsi Meet Exporter","readme":"Dashboard for [Jitsi Meet Exporter](https://github.com/systemli/prometheus-jitsi-meet-exporter). 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It also shows some information about Videostreams and how many minutes your instance served the conferences.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-05-13T07:53:04.000Z","updatedAt":"2024-04-09T17:20:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12282"},{"rel":"revisions","href":"/dashboards/12282/revisions"},{"rel":"revision","href":"/dashboards/12282/revisions/5"},{"rel":"download","href":"/dashboards/12282/revisions/5/download"},{"rel":"org","href":"/orgs/doron"},{"rel":"images","href":"/dashboards/12282/images"},{"rel":"thumbnails","href":"/dashboards/12282/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15848,"status":1,"statusCode":"active","orgId":611519,"orgSlug":"fredericklemasson","orgName":"fredericklemasson","slug":"jitsi-meet-system","downloads":401,"revisionId":24002,"revision":1,"name":"Jitsi Meet & System for Kubernetes/Prometheus","description":"Dashboard for Jitsi Meet Exporter running on Kubernetes","readme":"Dashboard for Jitsi Meet Exporter running on Kubernetes\r\n\r\nBased on the excellent https://grafana.com/grafana/dashboards/11969 by Mephisto\r\n\r\nUpdated for Kubernetes Prometheus Data Source and Multiple JVBs (works well with https://github.com/jitsi-contrib/jitsi-kubernetes-operator)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-03-04T13:42:18.000Z","updatedAt":"2022-03-04T13:56:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15848"},{"rel":"revisions","href":"/dashboards/15848/revisions"},{"rel":"revision","href":"/dashboards/15848/revisions/1"},{"rel":"download","href":"/dashboards/15848/revisions/1/download"},{"rel":"org","href":"/orgs/fredericklemasson"},{"rel":"images","href":"/dashboards/15848/images"},{"rel":"thumbnails","href":"/dashboards/15848/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11969,"status":1,"statusCode":"active","orgId":234141,"orgSlug":"mephisto","orgName":"mephisto","slug":"jitsi-metrics","downloads":3000,"revisionId":17379,"revision":5,"name":"Jitsi Metrics","description":"Videoconferencing Performance Metrics","readme":"Changes:\r\n\r\nCPU and Memory usage have been removed since they're no longer reported by the API. This is due a Jitsi Change.\r\n\r\nHowto:\r\n\r\n1. Get JVB Metrics exposed. Enable the Colibri and REST API in JVB for that. In a common docker setup you would set JVB_ENABLE_APIS=rest,colibri. \r\n\r\nAdditionally you may want to expose port 8080 in your docker-compose.yml for service JVB. Care for security and Firewall that port if you don't want dragons from the Internet to read your metrics.\r\n\r\n2. Put the config below in your telegraf config tree (eg. ```/etc/telegraf/telegraf.d/jitsi.conf```) + reload telegraf\r\n3. Download the dashboard template, import it to your grafana instance and assign the matching InfluxDB datasource \r\n4. See nice numbers and graphs.","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.http]]\r\n  name_override = \"jitsi_stats\"\r\n  urls = [\r\n    \"http://localhost:8080/colibri/stats\"\r\n  ]\r\n\r\n  data_format = \"json\"\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-03-22T17:58:04.000Z","updatedAt":"2020-04-29T10:52:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":4.33,"links":[{"rel":"self","href":"/dashboards/11969"},{"rel":"revisions","href":"/dashboards/11969/revisions"},{"rel":"revision","href":"/dashboards/11969/revisions/5"},{"rel":"download","href":"/dashboards/11969/revisions/5/download"},{"rel":"org","href":"/orgs/mephisto"},{"rel":"images","href":"/dashboards/11969/images"},{"rel":"thumbnails","href":"/dashboards/11969/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":2492,"status":1,"statusCode":"active","orgId":68168,"orgSlug":"chiabre","orgName":"chiabre","slug":"jmeter","downloads":2245,"revisionId":3451,"revision":4,"name":"JMeter  (via prometheus exporter)","description":"A grafana dashboard to inspect jmeter metrics via prometheus exporter","readme":"A grafana dashboard to inspect jmeter metrics via prometheus exporter\r\n \r\n https://github.com/johrstrom/jmeter-prometheus-plugin","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-06-20T12:18:02.000Z","updatedAt":"2017-09-14T09:39:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2492"},{"rel":"revisions","href":"/dashboards/2492/revisions"},{"rel":"revision","href":"/dashboards/2492/revisions/4"},{"rel":"download","href":"/dashboards/2492/revisions/4/download"},{"rel":"org","href":"/orgs/chiabre"},{"rel":"images","href":"/dashboards/2492/images"},{"rel":"thumbnails","href":"/dashboards/2492/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23329,"status":1,"statusCode":"active","orgId":1369565,"orgSlug":"hendrikoh","orgName":"hendrikoh","slug":"marketplace-jmeter-dashboard","downloads":305,"revisionId":37003,"revision":1,"name":"JMeter and Telegraf Data Dashboard","description":"This Dashhboard visualises basic Telegraf System Data (Plugins: System, cpu, mem, net) combined with JMeter Data, which is collected by the influxDB-Listener. All Data is stored in a single Bucket.","readme":"","collectorType":"Telegraf","collectorConfig":"[[inputs.system]]\r\n\r\n\r\n[[inputs.cpu]]\r\n\r\n\r\n- percpu = true\r\n- totalcpu = true\r\n- collect_cpu_time = false\r\n- report_active = true\r\n- core_tags = false\r\n\r\n\r\n[[inputs.mem]]\r\n\r\n\r\n- fieldpass = [\"total\", \"used\", \"used_percent\", \"available\", \"available_percent\", \"free\"]\r\n\r\n\r\n[[inputs.net]]\r\n\r\n\r\n- fieldpass = [\"bytes_sent\", \"bytes_recv\", \"speed\", \"err_in\", \"err_out\"]","collectorPluginList":"system","datasource":"InfluxDB","privacy":"public","createdAt":"2025-04-25T11:42:27.000Z","updatedAt":"2025-04-27T18:40:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23329"},{"rel":"revisions","href":"/dashboards/23329/revisions"},{"rel":"revision","href":"/dashboards/23329/revisions/1"},{"rel":"download","href":"/dashboards/23329/revisions/1/download"},{"rel":"org","href":"/orgs/hendrikoh"},{"rel":"images","href":"/dashboards/23329/images"},{"rel":"thumbnails","href":"/dashboards/23329/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19951,"status":1,"statusCode":"active","orgId":936397,"orgSlug":"rajeshc26","orgName":"rajeshc26","slug":"jmeter-consolidated-dashboard-influxdb-1-x-using-influxql","downloads":814,"revisionId":30736,"revision":3,"name":"Jmeter Consolidated Dashboard (Influxdb 1.x Using influxQL)","description":"Dashboard for presenting JMeter test executions metrics","readme":"This dashboard can be used for monitoring JMeter performance testing live results, utilizing InfluxQL queries (Influxdb 1.x). Flux queries cannot be used for Influxdb 1.x versions. Flux is supported from Influxdb 1.8 onwards.\r\nWith this dashboard, you can monitor your Apache JMeter load test in real time with InfluxDB and Grafana. Get overall summary (Users, Requests, Throughput etc), errors details, network traffic, overall as well as particular transaction response times.\r\n\r\n\r\nThis dashboard requires Apache JMeter 5 and upper versions. This shows overall statistics and even fetch details about specific transaction. \r\n\r\nSetup:\r\n1) Add Backend Listener to your test plan (Add -> Listener -> Backend Listener) \r\n2) Select \"org.apache.jmeter.visualizers.backend.influxdb.InfluxdbBackendListnerClient\r\n3) Update below settings:\r\n\t- influxdbMetricsSender: org.apache.jmeter.visualizers.backend.influxdb.HttpMetricsSender\r\n\t- influxdbUrl: http://localhost:8086/write?db=<database name>\r\n\t- application: <Application Name>\r\n\t- measurement: jmeter\r\n\t- summaryOnly: false (we need all values not just summary)\r\n\t- samplersRegex: .* (for capturing all samplers)\r\n\t- percentiles: 99;95;90\r\n\t- testTitle: <load test title>\r\n\r\nFor more details, please refer :\r\n\r\nhttps://jmeter.apache.org/usermanual/component_reference.html#Backend_Listener\r\n\r\nhttps://jmeter.apache.org/usermanual/realtime-results.html\r\n\r\n\r\nThis Grafana dashboard will capture below metrics:\r\n- Number of Users - Minimum and Maximum Users (Threads)\r\n- Total Requests\r\n- Failed Requests\r\n- Success Rate\r\n- Failure Rate\r\n- Minimum Response Time\r\n- Maximum Response Time\r\n- Total Throughput\r\n- Total Sent Bytes\r\n- Total Received Bytes\r\n- Overall Summary Results\r\n- Errors By Transaction\r\n- Error Details, for failed transactions view the respose code and response message\r\n- Average Response Times for all transactions\r\n- Active Threads Over Time\r\n- Network Traffic during test execution period\r\n- Throughput during test execution period\r\n\r\nBelow metrics are captured for individual transactions (which are selected under \"transaction\" dropdown at the top of the dashboard)\r\n- Total Requests for individual transaction\r\n- Passed and Failed Requests for Individual transaction\r\n- Failure rate for Individual transaction\r\n- Throughput for Individual Transaction\r\n- Response Times for Individual Transaction which includes Minimum, Maximum, Average, 90th, 95th & 99th percentiles","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-11-09T23:46:14.000Z","updatedAt":"2023-11-15T09:54:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19951"},{"rel":"revisions","href":"/dashboards/19951/revisions"},{"rel":"revision","href":"/dashboards/19951/revisions/3"},{"rel":"download","href":"/dashboards/19951/revisions/3/download"},{"rel":"org","href":"/orgs/rajeshc26"},{"rel":"images","href":"/dashboards/19951/images"},{"rel":"thumbnails","href":"/dashboards/19951/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19950,"status":1,"statusCode":"active","orgId":936397,"orgSlug":"rajeshc26","orgName":"rajeshc26","slug":"jmeter-consolidated-dashboard-influxdb-2-x-using-flux","downloads":1595,"revisionId":30737,"revision":4,"name":"Jmeter Consolidated Dashboard (Influxdb 2.x Using Flux)","description":"JMeter performance testing live results dashboard, utilizing Flux queries (Influxdb 2.x)","readme":"This dashboard can be used for monitoring JMeter performance testing live results, utilizing Flux queries (Influxdb 2.x). InfluxQL queries cannot be used for Influxdb 2.x versions. InfluxQL queries are supported till version 1.8 only and 1.8 onwards Flux needs to be used.\r\nWith this dashboard, you can monitor your Apache JMeter load test in real time with InfluxDB and Grafana. Get overall summary (Users, Requests, Throughput etc), errors details, network traffic, overall as well as particular transaction response times.\r\n\r\n\r\nThis dashboard requires Apache JMeter 5 and upper versions. This shows overall statistics and even fetch details about specific transaction. \r\n\r\nSetup:\r\n1) Add Backend Listener to your test plan (Add -> Listener -> Backend Listener) \r\n2) Select \"org.apache.jmeter.visualizers.backend.influxdb.InfluxdbBackendListnerClient\r\n3) Update below settings:\r\n\t- influxdbMetricsSender: org.apache.jmeter.visualizers.backend.influxdb.HttpMetricsSender\r\n\t- influxdbUrl: http://localhost:8086/write?db=<database name>\r\n\t- application: <Application Name>\r\n\t- measurement: jmeter\r\n\t- summaryOnly: false (we need all values not just summary)\r\n\t- samplersRegex: .* (for capturing all samplers)\r\n\t- percentiles: 99;95;90\r\n\t- testTitle: <load test title>\r\n\t- influxdbToken: <token generated while installing influxdb>\r\n\r\nFor more details, please refer :\r\n\r\nhttps://jmeter.apache.org/usermanual/component_reference.html#Backend_Listener\r\n\r\nhttps://jmeter.apache.org/usermanual/realtime-results.html\r\n\r\n\r\nThis Grafana dashboard will capture below metrics:\r\n- Number of Users - Minimum and Maximum Users (Threads)\r\n- Active Users/Threads\r\n- Total Requests\r\n- Failed Requests\r\n- Failure Rate\r\n- Minimum Response Time\r\n- Maximum Response Time\r\n- Total Sent Bytes\r\n- Total Received Bytes\r\n- Errors by Status Codes\r\n- Error Details, for failed transactions view the respose code and response message\r\n- Average Response Times for all transactions\r\n- Active Threads Over Time\r\n- Bytes Throughput during test execution period\r\n- Total Throughput - Hits and Transactions per second\r\n\r\nBelow metrics are captured for individual transactions (which are selected under \"transaction\" dropdown at the top of the dashboard)\r\n- Total Requests for individual transaction\r\n- Passed and Failed Requests for Individual transaction\r\n- Response Times for Individual Transaction which includes Minimum, Maximum, Average, 90th, 95th & 99th percentiles","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-11-09T23:42:02.000Z","updatedAt":"2023-11-15T09:59:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19950"},{"rel":"revisions","href":"/dashboards/19950/revisions"},{"rel":"revision","href":"/dashboards/19950/revisions/4"},{"rel":"download","href":"/dashboards/19950/revisions/4/download"},{"rel":"org","href":"/orgs/rajeshc26"},{"rel":"images","href":"/dashboards/19950/images"},{"rel":"thumbnails","href":"/dashboards/19950/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":4026,"status":1,"statusCode":"active","orgId":46297,"orgSlug":"keithmo","orgName":"keithmo","slug":"jmeter-dashboard","downloads":7251,"revisionId":5469,"revision":2,"name":"JMeter Dashboard","description":"Monitor your JMeter load test in real time with InfluxDB and Grafana.","readme":"Based on the great work of [JMeter Dashboard (3.2 and up)](https://grafana.com/dashboards/3351) by adrianbanu.\r\n\r\n> This dashboard was created for the InfluxdbBackendListernerClient, so it will work with JMeter 3.2 and up.  \r\n>\r\n> Steps:  \r\n> - Create your Test Plan and add the InfluxdbBackendListernerClient to the test plan.\r\n> - Configure the backend listener to write to your database\r\n> - Create your database in InfluxDB\r\n> - Import this dashboard into Grafana\r\n> - Run the test.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-12-16T17:05:01.000Z","updatedAt":"2017-12-16T17:25:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/4026"},{"rel":"revisions","href":"/dashboards/4026/revisions"},{"rel":"revision","href":"/dashboards/4026/revisions/2"},{"rel":"download","href":"/dashboards/4026/revisions/2/download"},{"rel":"org","href":"/orgs/keithmo"},{"rel":"images","href":"/dashboards/4026/images"},{"rel":"thumbnails","href":"/dashboards/4026/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":5939,"status":1,"statusCode":"active","orgId":145895,"orgSlug":"yasser1992","orgName":"yasser1992","slug":"jmeter-dashboard","downloads":638,"revisionId":8072,"revision":2,"name":"JMeter Dashboard","description":"Monitor your JMeter load test in real time with InfluxDB and Grafana.","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"AMQP plugin","datasource":"InfluxDB","privacy":"public","createdAt":"2018-05-06T16:16:54.000Z","updatedAt":"2018-05-06T16:18:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5939"},{"rel":"revisions","href":"/dashboards/5939/revisions"},{"rel":"revision","href":"/dashboards/5939/revisions/2"},{"rel":"download","href":"/dashboards/5939/revisions/2/download"},{"rel":"org","href":"/orgs/yasser1992"},{"rel":"images","href":"/dashboards/5939/images"},{"rel":"thumbnails","href":"/dashboards/5939/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":5936,"status":1,"statusCode":"active","orgId":145895,"orgSlug":"yasser1992","orgName":"yasser1992","slug":"jmeter-dashboard","downloads":488,"revisionId":8066,"revision":1,"name":"JMeter Dashboard","description":"Monitor your JMeter load test in real time with InfluxDB and 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Create your Test Plan and add the InfluxdbBackendListernerClient to the test plan.\r\n2. Configure the backend listener to write to your database\r\n3. Create your database in InfluxDB\r\n4. Import this dashboard into Grafana\r\n5. Run the test.\r\n\r\nNotes: you don't need to edit anything in this dashboard. Your application and transactions will automatically be picked up.\r\n\r\nEnjoy! 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Download the [JMeter-InfluxBD-Writer](https://github.com/NovaTecConsulting/JMeter-InfluxDB-Writer/releases) and paste the jar into the **/lib/ext** directory of your JMeter installation. (Then Restart JMeter)\r\n2. In your JMeter load script add a Backend Listener node (Add -> Listener -> Backend Listener)\r\n3. Select **JMeterInfluxDBBackendListenerClient** for the *Backend Listener implementation* option\r\n4. Provide in the *Parameters* table your influxDB settings, provide a name for the test, and specify which samplers to record. 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JMeter.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-09-28T12:19:37.000Z","updatedAt":"2020-09-28T12:20:25.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13082"},{"rel":"revisions","href":"/dashboards/13082/revisions"},{"rel":"revision","href":"/dashboards/13082/revisions/1"},{"rel":"download","href":"/dashboards/13082/revisions/1/download"},{"rel":"org","href":"/orgs/dilipgn"},{"rel":"images","href":"/dashboards/13082/images"},{"rel":"thumbnails","href":"/dashboards/13082/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13417,"status":1,"statusCode":"active","orgId":437543,"orgSlug":"mderevyankoaqa","orgName":"mderevyankoaqa","slug":"jmeter-load-test-org-md-jmeter-influxdb-visualizer","downloads":2005,"revisionId":20365,"revision":2,"name":"JMeter Load Test (org.md.jmeter.influxdb.visualizer)_","description":"Provides the possibility to see live JMeter metrics (aggregation table, errors, the response body of failures), uses the same mechanics to generate the report with metrics as JMeter.","readme":"This dashboard requires Apache JMeter 5.3 or higher. It shows overall statistics, generates the transactions charts, aggregate report, latency, and errors overview.\n\nSetup:\n* Download the [plugin](https://github.com/mderevyankoaqa/jmeter-influxdb-listener-plugin/releases) (the latest release). The plugin \"`jmeter-plugin-influxdb2-listener-<>.jar`\" should be located here \"`~\\apache-jmeter-5.x\\lib\\ext`\".\n* Make sure that you have Java 11 - otherwise the plugin will be not displayed on UI.\n* Add Backend Listener to your test plan (Add -> Listener -> Backend Listener) and select \"`org.md.jmeter.influxdb.visualizer.JMeterInfluxDBBackendListenerClient`\".\n* Provide in the Parameters table the InfluxDB settings, provide a name for the test, and specify which samplers to record. For more details, see [instruction](https://github.com/mderevyankoaqa/jmeter-influxdb-listener-plugin).\n* Configure the dashboard in Grafana, execute tests, and see test results.\n\nPlease feel free to reach out to me in case of any questions m.v.derevyanko@gmail.com or [Linkedin](https://www.linkedin.com/in/michail-derevyanko-a2700948/)\n\nBest Regads,\nMichael Derevyanko\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-11-17T14:24:54.000Z","updatedAt":"2021-02-17T14:43:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/13417"},{"rel":"revisions","href":"/dashboards/13417/revisions"},{"rel":"revision","href":"/dashboards/13417/revisions/2"},{"rel":"download","href":"/dashboards/13417/revisions/2/download"},{"rel":"org","href":"/orgs/mderevyankoaqa"},{"rel":"images","href":"/dashboards/13417/images"},{"rel":"thumbnails","href":"/dashboards/13417/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18371,"status":1,"statusCode":"active","orgId":824385,"orgSlug":"ievgenlagoda","orgName":"ievgenlagoda","slug":"jmeter-load-test-org-md-jmeter-influxdb-visualizer","downloads":343,"revisionId":28193,"revision":1,"name":"JMeter Load Test (org.md.jmeter.influxdb.visualizer)_","description":"Provides the possibility to see live JMeter metrics (aggregation table, errors, the response body of failures), uses the same mechanics to generate the report with metrics as JMeter.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-03-28T03:58:34.000Z","updatedAt":"2023-03-28T03:59:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18371"},{"rel":"revisions","href":"/dashboards/18371/revisions"},{"rel":"revision","href":"/dashboards/18371/revisions/1"},{"rel":"download","href":"/dashboards/18371/revisions/1/download"},{"rel":"org","href":"/orgs/ievgenlagoda"},{"rel":"images","href":"/dashboards/18371/images"},{"rel":"thumbnails","href":"/dashboards/18371/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13644,"status":1,"statusCode":"active","orgId":437543,"orgSlug":"mderevyankoaqa","orgName":"mderevyankoaqa","slug":"jmeter-load-test-org-md-jmeter-influxdb2-visualizer-influxdb-v2-0-flux","downloads":8087,"revisionId":26243,"revision":7,"name":"JMeter Load Test (org.md.jmeter.influxdb2.visualizer) - influxdb v2.0 (Flux)","description":"This dashboard shows live load test metrics provided by JMeter, updated bars charts.","readme":"## Overview:\r\nThis dashboard requires Apache JMeter 5.5 and [InfluxDB v2.0](https://docs.influxdata.com/influxdb/v2.0/reference/release-notes/influxdb/), (the latest was supported and tested on Grafana 9.1.6). It shows overall statistics, generates the transactions charts, aggregate report, latency, and errors overview. Note: the dashboard and solution will not work for InfluxDB v1.8. You can significantly improve your performance testing process (works for JMeter clustered solution as well)!.\r\n\r\n## New features:\r\n* Added the filter by \"run id\"\r\n* Added the possibility to see \"requests\" only or \"transactions\".\r\n\r\n## Setup:\r\nSee full instructions on [jmeter-influxdb2-listener-plugin](https://github.com/mderevyankoaqa/jmeter-influxdb2-listener-plugin/) .\r\n\r\n* Download the [plugin](https://github.com/mderevyankoaqa/jmeter-influxdb2-listener-plugin/releases) **the latest release or depends on JMeter version**. The plugin \"`jmeter-plugins-influxdb2-listener-<>.jar`\" should be located here \"`~\\apache-jmeter-5.x\\lib\\ext`\".\r\n* **Make sure that you have Java 11** or higher version - otherwise the plugin will be not displayed on UI.\r\n* Add Backend Listener to your test plan (Add -> Listener -> Backend Listener) and select \"`io.github.mderevyankoaqa.influxdb2.visualizer.JMeterInfluxDBBackendListenerClient.`\"\r\n* Provide in the Parameters table the InfluxDB settings, provide a name for the test, and specify which samplers to record. \r\n* Configure the dashboard in Grafana, execute tests, and see test results.\r\n\r\n## PS.\r\nPlease feel free to reach out to me in case of any questions m.v.derevyanko@gmail.com or [linkedin](https://www.linkedin.com/in/michail-derevyanko-a2700948/).\r\n\r\nAll found issue please report [here](https://github.com/mderevyankoaqa/jmeter-influxdb2-listener-plugin/issues) \r\n\r\nBest Regards, \r\nMichael Derevyanko","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-12-29T13:24:06.000Z","updatedAt":"2022-10-13T13:44:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":5,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13644"},{"rel":"revisions","href":"/dashboards/13644/revisions"},{"rel":"revision","href":"/dashboards/13644/revisions/7"},{"rel":"download","href":"/dashboards/13644/revisions/7/download"},{"rel":"org","href":"/orgs/mderevyankoaqa"},{"rel":"images","href":"/dashboards/13644/images"},{"rel":"thumbnails","href":"/dashboards/13644/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22040,"status":1,"statusCode":"active","orgId":1240809,"orgSlug":"antrikshojharais","orgName":"antrikshojharais","slug":"jmeter-load-test-org-md-jmeter-influxdb2-visualizer-influxdb-v2-0-flux","downloads":267,"revisionId":34546,"revision":1,"name":"JMeter Load Test (org.md.jmeter.influxdb2.visualizer) - influxdb v2.0 (Flux)","description":"This dashboard shows live load test metrics provided by JMeter, updated bars charts.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-10-07T19:45:39.000Z","updatedAt":"2024-10-07T19:45:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22040"},{"rel":"revisions","href":"/dashboards/22040/revisions"},{"rel":"revision","href":"/dashboards/22040/revisions/1"},{"rel":"download","href":"/dashboards/22040/revisions/1/download"},{"rel":"org","href":"/orgs/antrikshojharais"},{"rel":"images","href":"/dashboards/22040/images"},{"rel":"thumbnails","href":"/dashboards/22040/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10828,"status":1,"statusCode":"active","orgId":285911,"orgSlug":"hellmanj","orgName":"hellmanj","slug":"jmeter-metric-template","downloads":915,"revisionId":15142,"revision":1,"name":"JMeter Metric Template","description":"jmeter results dashboard for clusters created via recipe such as https://blog.kubernauts.io/load-testing-as-a-service-with-jmeter-on-kubernetes-fc5288bb0c8b","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-09-06T19:53:38.000Z","updatedAt":"2019-09-06T19:55:21.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10828"},{"rel":"revisions","href":"/dashboards/10828/revisions"},{"rel":"revision","href":"/dashboards/10828/revisions/1"},{"rel":"download","href":"/dashboards/10828/revisions/1/download"},{"rel":"org","href":"/orgs/hellmanj"},{"rel":"images","href":"/dashboards/10828/images"},{"rel":"thumbnails","href":"/dashboards/10828/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21000,"status":1,"statusCode":"active","orgId":945323,"orgSlug":"testek","orgName":"testek","slug":"jmeter-pt02-all","downloads":972,"revisionId":32626,"revision":1,"name":"JMeter Performance Dashboard","description":"This dashboard includes updated bar charts, real-time load test metrics from JMeter, and support for tracking errors (percentage or number) in conjunction with logic failure requests.","readme":"This dashboard includes updated bar charts, real-time load test metrics from JMeter, and support for tracking errors (percentage or number) in conjunction with logic failure requests.\r\n\r\nIt contains:\r\n1. Summary report: The Activated Users, Total Request, Success/Error Rate, Throughput, and Response Time; We have added the feature of statistics on the number (percentage) of requests with each specific time point and statistics on the number of logic errors (errors that do not return the correct response data as we expected), and error messages are also displayed directly.\r\n\r\n2. Basic Metrics for Performance: Throughput, Response Time, Network, etc.\r\n\r\n3. Added an individual report for a request: We support you to track information directly for any APIs\r\n\r\n4. Added many dynamic configurations: DataSource: You can choose the dynamic datasource (View real time any data source in testing)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-05-04T09:46:00.000Z","updatedAt":"2024-05-04T10:04:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21000"},{"rel":"revisions","href":"/dashboards/21000/revisions"},{"rel":"revision","href":"/dashboards/21000/revisions/1"},{"rel":"download","href":"/dashboards/21000/revisions/1/download"},{"rel":"org","href":"/orgs/testek"},{"rel":"images","href":"/dashboards/21000/images"},{"rel":"thumbnails","href":"/dashboards/21000/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20909,"status":1,"statusCode":"active","orgId":1101698,"orgSlug":"stiruma2","orgName":"stiruma2","slug":"jmeter-performance-testing-dashboard","downloads":258,"revisionId":32445,"revision":1,"name":"JMeter Performance Testing Dashboard","description":"JMeter performance testing live results dashboard, utilizing Flux queries (Influxdb 2.x)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-04-18T10:03:06.000Z","updatedAt":"2024-04-18T10:03:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20909"},{"rel":"revisions","href":"/dashboards/20909/revisions"},{"rel":"revision","href":"/dashboards/20909/revisions/1"},{"rel":"download","href":"/dashboards/20909/revisions/1/download"},{"rel":"org","href":"/orgs/stiruma2"},{"rel":"images","href":"/dashboards/20909/images"},{"rel":"thumbnails","href":"/dashboards/20909/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24217,"status":1,"statusCode":"active","orgId":1546976,"orgSlug":"vengatesh","orgName":"vengatesh","slug":"jmeter-performance-testing-dashboard","downloads":89,"revisionId":38619,"revision":1,"name":"JMeter Performance Testing Dashboard","description":"JMeter performance testing live results dashboard, utilizing Flux queries (Influxdb 2.x)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-10-08T09:44:32.000Z","updatedAt":"2025-10-08T09:44:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24217"},{"rel":"revisions","href":"/dashboards/24217/revisions"},{"rel":"revision","href":"/dashboards/24217/revisions/1"},{"rel":"download","href":"/dashboards/24217/revisions/1/download"},{"rel":"org","href":"/orgs/vengatesh"},{"rel":"images","href":"/dashboards/24217/images"},{"rel":"thumbnails","href":"/dashboards/24217/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24886,"status":1,"statusCode":"active","orgId":786453,"orgSlug":"oostj39","orgName":"oostj39","slug":"jmeter-performance-testing-dashboard","downloads":8,"revisionId":39955,"revision":1,"name":"JMeter Performance Testing Dashboard","description":"JMeter performance testing live results dashboard, utilizing Flux queries (Influxdb 2.x)","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2026-02-17T07:24:43.000Z","updatedAt":"2026-02-17T07:28:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24886"},{"rel":"revisions","href":"/dashboards/24886/revisions"},{"rel":"revision","href":"/dashboards/24886/revisions/1"},{"rel":"download","href":"/dashboards/24886/revisions/1/download"},{"rel":"org","href":"/orgs/oostj39"},{"rel":"images","href":"/dashboards/24886/images"},{"rel":"thumbnails","href":"/dashboards/24886/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17506,"status":1,"statusCode":"active","orgId":684109,"orgSlug":"testingmavens","orgName":"testingmavens","slug":"jmeter-performance-testing-dashboard","downloads":2824,"revisionId":26877,"revision":1,"name":"JMeter Performance Testing Dashboard","description":"JMeter performance testing live results dashboard, utilizing Flux queries (Influxdb 2.x)","readme":"[https://github.com/fgeorge/jmeter-grafana-influxdb-dashboard](<https://github.com/fgeorge/jmeter-grafana-influxdb-dashboard>)\r\n\r\nWhen running performance tests using [Apache JMeter](<https://jmeter.apache.org/>), to view the realtime test results and metrics we need to set up a backend listener that reports data to a timeseries db such as InfluxDB and then build a dashboard in Grafana/Influx etc. based on that data. There are lot of dashboards available in Grafana community. But with the newer versions of InfluxDB, Flux is us used as an alternative to InfluxQL language for querying and analyzing data. Unfortunately, most of the community provided dashboards are still using InfluxQL and there is no easy migration of the queries to the new Flux syntax. So, this is an attempt to build a Grafana dashboard using Flux as the query language for InfluxDB.\r\n\r\nThe Grafana dashboard will have the following metrics displayed.\r\n\r\n- **Number of Users**, the count of total threads\r\n- **Active Number of Users**, the count of active threads\r\n- **Transactions Count**\r\n- **Errors Count**\r\n- **Errors Rate**\r\n- **Errors By Status Codes**\r\n- **Errors By Transaction**\r\n- **Error Details**, for failed transactions view the respose code and response message\r\n    > Will need to add a JSR223 Listener to your JMeter script to capture the error details.\r\n- **Response Times Over Time**\r\n- **Response Time Percentiles Over Time**, view the percentiles configured in the listener, defaults to 99,95&90\r\n- **Active Threads Over Time**\r\n- **Bytes Throughput Over Time**, bytes sent and received\r\n- **Total vs Failed Requests Over Time**\r\n- **Hits Per Second**\r\n- **Transactions Per Second**\r\n- **Average Response Times per transaction**, a repeat panel which will show the average response times for the transactions selected in the dropdown at the top of the dashboard","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-11-28T03:21:24.000Z","updatedAt":"2022-11-29T00:38:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17506"},{"rel":"revisions","href":"/dashboards/17506/revisions"},{"rel":"revision","href":"/dashboards/17506/revisions/1"},{"rel":"download","href":"/dashboards/17506/revisions/1/download"},{"rel":"org","href":"/orgs/testingmavens"},{"rel":"images","href":"/dashboards/17506/images"},{"rel":"thumbnails","href":"/dashboards/17506/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17440,"status":1,"statusCode":"active","orgId":741829,"orgSlug":"musicaf2","orgName":"musicaf2","slug":"jmeter-load-test","downloads":785,"revisionId":26791,"revision":1,"name":"JMeter Report InfluxDB2.0","description":"Este DashBoard é para acompanhar testes do Jmeter LIVE","readme":"Este dashboard é baseado no Report gerado no final do teste do Jmeter via CMD, mas para monitoração via grafana.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-11-18T18:21:16.000Z","updatedAt":"2022-11-24T15:32:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17440"},{"rel":"revisions","href":"/dashboards/17440/revisions"},{"rel":"revision","href":"/dashboards/17440/revisions/1"},{"rel":"download","href":"/dashboards/17440/revisions/1/download"},{"rel":"org","href":"/orgs/musicaf2"},{"rel":"images","href":"/dashboards/17440/images"},{"rel":"thumbnails","href":"/dashboards/17440/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9561,"status":1,"statusCode":"active","orgId":225479,"orgSlug":"testload","orgName":"testload","slug":"jmeter-results-from-clickhouse-eng","downloads":878,"revisionId":14397,"revision":3,"name":"JMeter Results from ClickHouse(Eng)","description":"JMeter dashboard for ClickHouse datasource","readme":"Dashboard shows online statistic from [ClickHouse](https://clickhouse.yandex) collected by special [JMeter Listener (actually this is pack of listeners in one jar)](https://mvnrepository.com/artifact/cloud.testload/jmeter.pack-listener/1.4).\r\n\r\nDashboard and Listener inspired by [JM dashboard and plugin from NovaTec](https://grafana.com/dashboards/1152) Many thanks these guys!!!\r\n\r\n## But there is additional important features in this project:\r\n1. [ClickHouse](https://clickhouse.yandex) support, of course\r\n2. Aggregation support (necessary for highload on not premium hardware)\r\n3. [Listener](https://mvnrepository.com/artifact/cloud.testload/jmeter.pack-listener/1.4) support gzip requests to ClickHouse database (it very useful on highload)\r\n4. [Listener](https://mvnrepository.com/artifact/cloud.testload/jmeter.pack-listener/1.4) sends to clickhouse not only statistic but Requests and Responses as well (it useful for debug)\r\n\r\n## How to start:\r\n1. Download, install and setup [ClickHouse](https://clickhouse.yandex), [CHProxy](https://github.com/Vertamedia/chproxy) strongly recommended\r\n2. Download and install [listener](https://mvnrepository.com/artifact/cloud.testload/jmeter.pack-listener/1.4) to you're JMeter lib/ext\r\n3. Start JMeter, add BackendListener and setup\r\n4. Install and setup Dashboard\r\n5. Start Test.\r\n\r\nMore detailed instructions will be published on [plugin wiki](https://gitlab.com/testload/jmeter-listener/wikis/home) soon","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Altinity plugin for ClickHouse","privacy":"public","createdAt":"2018-12-20T22:41:04.000Z","updatedAt":"2019-06-03T19:16:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9561"},{"rel":"revisions","href":"/dashboards/9561/revisions"},{"rel":"revision","href":"/dashboards/9561/revisions/3"},{"rel":"download","href":"/dashboards/9561/revisions/3/download"},{"rel":"org","href":"/orgs/testload"},{"rel":"images","href":"/dashboards/9561/images"},{"rel":"thumbnails","href":"/dashboards/9561/thumbnails"}],"datasourceSlugs":["vertamedia-clickhouse-datasource"]},{"id":9562,"status":1,"statusCode":"active","orgId":225479,"orgSlug":"testload","orgName":"testload","slug":"jmeter-results-from-clickhouse-rus","downloads":505,"revisionId":14398,"revision":3,"name":"JMeter Results from ClickHouse(Rus)","description":"JMeter панель для ClickHouse","readme":"Паель показывает статистику из [ClickHouse](https://clickhouse.yandex) собранную специальным [JMeter Listener (вообще говоря там три разных листенера в одном jar)](https://mvnrepository.com/artifact/cloud.testload/jmeter.pack-listener/1.4).\r\n\r\nПанель и Listener вдохновлены прекрасным [JM панелью и листенером NovaTec](https://grafana.com/dashboards/1152) Большое им спасибо!!!\r\n\r\n## Но, в этом проекте есть некоторые важные отличия:\r\n1. Поддержка [ClickHouse](https://clickhouse.yandex) , конечно\r\n2. Поддержка аггрегации результатов (очень полезно при высокой нагрузке на не самом хорошем железе)\r\n3. [Listener](https://mvnrepository.com/artifact/cloud.testload/jmeter.pack-listener/1.4) поддерживает gzip запросы в ClickHouse базу (это очень полезно на высокой нагрузке)\r\n4. [Listener](https://mvnrepository.com/artifact/cloud.testload/jmeter.pack-listener/1.4) отправляет в БД не только статистику но и Requests и Responses из сэмплеровl (полезно для отладки)\r\n\r\n## Как запуститься:\r\n1. Загрузить, установить и настроить [ClickHouse](https://clickhouse.yandex), [CHProxy](https://github.com/Vertamedia/chproxy) очень рекомендуется в этой конфигруации\r\n2. Загрузить и установить [listener](https://mvnrepository.com/artifact/cloud.testload/jmeter.pack-listener/1.4) прямо в JMeter lib/ext каталог\r\n3. Запустить JMeter, добавить в план BackendListener и настроить\r\n4. Установить и настроить эту панель\r\n5. Запустить тест.\r\n\r\nБолее детальные инструкции для листенера будут скоро опубликованы в [wiki проекта](https://gitlab.com/testload/jmeter-listener/wikis/home)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Altinity plugin for ClickHouse","privacy":"public","createdAt":"2018-12-20T23:26:37.000Z","updatedAt":"2019-06-03T19:17:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9562"},{"rel":"revisions","href":"/dashboards/9562/revisions"},{"rel":"revision","href":"/dashboards/9562/revisions/3"},{"rel":"download","href":"/dashboards/9562/revisions/3/download"},{"rel":"org","href":"/orgs/testload"},{"rel":"images","href":"/dashboards/9562/images"},{"rel":"thumbnails","href":"/dashboards/9562/thumbnails"}],"datasourceSlugs":["vertamedia-clickhouse-datasource"]},{"id":22231,"status":1,"statusCode":"active","orgId":749837,"orgSlug":"ushklianik","orgName":"ushklianik","slug":"jmeter-test-log-influxdb2-standard-listener","downloads":290,"revisionId":35017,"revision":2,"name":"JMeter test log Influxdb2 Standard Listener","description":"Dashboard designed to visualize JMeter test log data using the standard backend listener.","readme":"The dashboard allows to visualize JMeter metrics stored in Influxdb2.\r\nDependencies:\r\n- Grafana 9.0.3^\r\n- InfluxDB 2.0^\r\n- BackendListener: org.apache.jmeter.visualizers.backend.influxdb.InfluxdbBackendListenerClient \r\n\r\n*How to configure:*\r\n1. Create new InfluxDB Bucket and Token.\r\n2. Configure JMeter backend listener.\r\n\r\n**Note**: It is very important to add a unique TAG_testTitle to be able to visualize the data for each test.\r\n```\r\n   - Backend listener implementation: org.apache.jmeter.visualizers.backend.influxdb.InfluxdbBackendListenerClient\r\n   - influxdbUrl: http://YOUR_INFLUXDB_IP:8086/api/v2/write?org=YOUR_ORG_NAME&bucket=YOUR_BUCKET_NAME\r\n   - application: YOUR_APP_NAME\r\n   - measurement: jmeter\r\n   - summaryOnly: false\r\n   - samplersRegex: .*\r\n   - percentiles: 95;90;75;50\r\n   - testTitle: YOUR_TEST_ID (For example: ${__time(yyyyMMdd-HHmm)}-appname)\r\n   - influxdbToken: YOUR_TOKEN (Note: it should be added manually using add button)\r\n   - TAG_testTitle: YOUR_TEST_ID (For example: ${__time(yyyyMMdd-HHmm)}-appname)\r\n```\r\n3. OPTIONAL: Configure backend listener in jmeter.properties or user.properties files:\r\n   Let's say we need to generate around 6000 rps in our test, we can set up sending the test result once every 10 seconds by changing the «backend_influxdb.send_interval» parameter. Then we need to change «QUEUE_SIZE» and «backend_metrics_large_window» to 60000 (6000 x 10 s). For good performance it better to use «timed» window mode. That completely cleans up the set of collected metrics after sending, while fixed constantly stores this queue, adds new values to the end and deletes the old ones.\r\n```\r\n   QUEUE_SIZE=60000                   //default: 5000\r\n   backend_metrics_window_mode=timed  //default: fixed\r\n   backend_metrics_large_window=60000 //default: 5000\r\n   backend_influxdb.send_interval=10  //default: 5 seconds\r\n```\r\n4. Add InfluxDB as a data source in Grafana using your bucket and token.\r\n5. Create a folder for your project if it doesn't already exist.\r\n6. Import Grafana dashboard. When importing, you need to specify the \"test_results\" link, which corresponds to the dashboard ID: 17472 (Example: d/jmeter-test-results-standard-listener/jmeter-test-results-standard-listener). Additionally, you need to provide the \"test_comp\" link, which corresponds to the comparison dashboard ID: 22232 (Example: d/jmeter-test-comparison-standard-listener/jmeter-tests-comparison-standard-listener). This setup will create links to the test results dashboard, making it even easier to browse through the tests.\r\n\r\nDeveloped by the [PerForge team](https://github.com/PerForge/PerForge).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-11-07T18:01:37.000Z","updatedAt":"2024-11-14T09:18:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22231"},{"rel":"revisions","href":"/dashboards/22231/revisions"},{"rel":"revision","href":"/dashboards/22231/revisions/2"},{"rel":"download","href":"/dashboards/22231/revisions/2/download"},{"rel":"org","href":"/orgs/ushklianik"},{"rel":"images","href":"/dashboards/22231/images"},{"rel":"thumbnails","href":"/dashboards/22231/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17489,"status":1,"statusCode":"active","orgId":749837,"orgSlug":"ushklianik","orgName":"ushklianik","slug":"jmeter-test-results-influxdb2","downloads":412,"revisionId":26852,"revision":1,"name":"JMeter test results influxdb2 custom backend listener","description":"This dashboard shows live load test metrics provided by JMeter","readme":"*How to configure:*\r\n1. Create new InfluxDB Bucket and Token\r\n2. Download custom plugin to JMeter /lib/ext folder from [git](https://github.com/mderevyankoaqa/jmeter-influxdb2-listener-plugin)\r\n2. Configure JMeter backend listener\r\n```\r\n   - Backend listener implementation: io.github.mderevyankoaqa.visualizer.InfluxDatabaseBackendListenerClient\r\n   - testName: YOUR_APP_NAME\r\n   - nodeName: YOU_NODE_NAME (Example: ${__machineName})\r\n   - runId: YOUR_TEST_ID (For example: ${__time(yyyyMMdd-HHmm)}-appname)\r\n   - influxDBURL: http://YOUR_INFLUXDB_IP:8086/\r\n   - influxDBToken: YOUR_TOKEN\r\n   - influxDBOrganization: YOUR_ORG\r\n   - influxDBBucket: jmeter\r\n   - samplersList: .*\r\n   - useRegexForSamplerList: true\r\n   - recordSubSamples: false\r\n   - saveResponseBodyOfFailures: true\r\n```\r\n3. Add InfluxDB as a data source in Grafana using your bucket and token.\r\n4. Create a folder for your project if it doesn't already exist\r\n5. Import Grafana dashboard","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-11-25T14:41:59.000Z","updatedAt":"2022-11-28T06:56:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/17489"},{"rel":"revisions","href":"/dashboards/17489/revisions"},{"rel":"revision","href":"/dashboards/17489/revisions/1"},{"rel":"download","href":"/dashboards/17489/revisions/1/download"},{"rel":"org","href":"/orgs/ushklianik"},{"rel":"images","href":"/dashboards/17489/images"},{"rel":"thumbnails","href":"/dashboards/17489/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17472,"status":1,"statusCode":"active","orgId":749837,"orgSlug":"ushklianik","orgName":"ushklianik","slug":"jmeter-test-results-influxdb2-standard-listener","downloads":1198,"revisionId":34934,"revision":3,"name":"JMeter test results Influxdb2 Standard Listener","description":"This dashboard shows live load test metrics provided by JMeter stored in Influxdb2.","readme":"The dashboard allows to visualize JMeter metrics stored in Influxdb2.\r\nDependencies:\r\n- Grafana 9.0.3^\r\n- InfluxDB 2.0^\r\n- BackendListener: org.apache.jmeter.visualizers.backend.influxdb.InfluxdbBackendListenerClient \r\n\r\n*How to configure:*\r\n1. Create new InfluxDB Bucket and Token.\r\n2. Configure JMeter backend listener.\r\n\r\n**Note**: It is very important to add a unique TAG_testTitle to be able to visualize the data for each test.\r\n```\r\n   - Backend listener implementation: org.apache.jmeter.visualizers.backend.influxdb.InfluxdbBackendListenerClient\r\n   - influxdbUrl: http://YOUR_INFLUXDB_IP:8086/api/v2/write?org=YOUR_ORG_NAME&bucket=YOUR_BUCKET_NAME\r\n   - application: YOUR_APP_NAME\r\n   - measurement: jmeter\r\n   - summaryOnly: false\r\n   - samplersRegex: .*\r\n   - percentiles: 95;90;75;50\r\n   - testTitle: YOUR_TEST_ID (For example: ${__time(yyyyMMdd-HHmm)}-appname)\r\n   - influxdbToken: YOUR_TOKEN (Note: it should be added manually using add button)\r\n   - TAG_testTitle: YOUR_TEST_ID (For example: ${__time(yyyyMMdd-HHmm)}-appname)\r\n```\r\n3. OPTIONAL: Configure backend listener in jmeter.properties or user.properties files:\r\n   Let's say we need to generate around 6000 rps in our test, we can set up sending the test result once every 10 seconds by changing the «backend_influxdb.send_interval» parameter. Then we need to change «QUEUE_SIZE» and «backend_metrics_large_window» to 60000 (6000 x 10 s). For good performance it better to use «timed» window mode. That completely cleans up the set of collected metrics after sending, while fixed constantly stores this queue, adds new values to the end and deletes the old ones.\r\n```\r\n   QUEUE_SIZE=60000                   //default: 5000\r\n   backend_metrics_window_mode=timed  //default: fixed\r\n   backend_metrics_large_window=60000 //default: 5000\r\n   backend_influxdb.send_interval=10  //default: 5 seconds\r\n```\r\n4. Add InfluxDB as a data source in Grafana using your bucket and token.\r\n5. Create a folder for your project if it doesn't already exist.\r\n6. Import Grafana dashboard. When importing, you need to specify the \"send_interval\" configured in JMeter (the default is 5 seconds) and the transaction_mark. The transaction_mark is used to distinguish between transactions and requests. For example, if your naming convention includes \"TR\" for each transaction, you can simply type \"TR\" to ensure proper graph generation.\r\n\r\nDeveloped by the [PerForge team](https://github.com/PerForge/PerForge).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-11-24T15:19:31.000Z","updatedAt":"2024-11-13T09:03:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/17472"},{"rel":"revisions","href":"/dashboards/17472/revisions"},{"rel":"revision","href":"/dashboards/17472/revisions/3"},{"rel":"download","href":"/dashboards/17472/revisions/3/download"},{"rel":"org","href":"/orgs/ushklianik"},{"rel":"images","href":"/dashboards/17472/images"},{"rel":"thumbnails","href":"/dashboards/17472/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22232,"status":1,"statusCode":"active","orgId":749837,"orgSlug":"ushklianik","orgName":"ushklianik","slug":"jmeter-tests-comparison-influxdb2-standard-listener","downloads":342,"revisionId":34935,"revision":1,"name":"JMeter tests comparison Influxdb2 Standard Listener","description":"This dashboard shows live load test metrics provided by JMeter stored in Influxdb2.","readme":"The dashboard allows to visualize JMeter metrics stored in Influxdb2.\r\nDependencies:\r\n- Grafana 9.0.3^\r\n- InfluxDB 2.0^\r\n- BackendListener: org.apache.jmeter.visualizers.backend.influxdb.InfluxdbBackendListenerClient \r\n\r\n*How to configure:*\r\n1. Create new InfluxDB Bucket and Token.\r\n2. Configure JMeter backend listener.\r\n\r\n**Note**: It is very important to add a unique TAG_testTitle to be able to visualize the data for each test.\r\n```\r\n   - Backend listener implementation: org.apache.jmeter.visualizers.backend.influxdb.InfluxdbBackendListenerClient\r\n   - influxdbUrl: http://YOUR_INFLUXDB_IP:8086/api/v2/write?org=YOUR_ORG_NAME&bucket=YOUR_BUCKET_NAME\r\n   - application: YOUR_APP_NAME\r\n   - measurement: jmeter\r\n   - summaryOnly: false\r\n   - samplersRegex: .*\r\n   - percentiles: 95;90;75;50\r\n   - testTitle: YOUR_TEST_ID (For example: ${__time(yyyyMMdd-HHmm)}-appname)\r\n   - influxdbToken: YOUR_TOKEN (Note: it should be added manually using add button)\r\n   - TAG_testTitle: YOUR_TEST_ID (For example: ${__time(yyyyMMdd-HHmm)}-appname)\r\n```\r\n3. OPTIONAL: Configure backend listener in jmeter.properties or user.properties files:\r\n   Let's say we need to generate around 6000 rps in our test, we can set up sending the test result once every 10 seconds by changing the «backend_influxdb.send_interval» parameter. Then we need to change «QUEUE_SIZE» and «backend_metrics_large_window» to 60000 (6000 x 10 s). For good performance it better to use «timed» window mode. That completely cleans up the set of collected metrics after sending, while fixed constantly stores this queue, adds new values to the end and deletes the old ones.\r\n```\r\n   QUEUE_SIZE=60000                   //default: 5000\r\n   backend_metrics_window_mode=timed  //default: fixed\r\n   backend_metrics_large_window=60000 //default: 5000\r\n   backend_influxdb.send_interval=10  //default: 5 seconds\r\n```\r\n4. Add InfluxDB as a data source in Grafana using your bucket and token.\r\n5. Create a folder for your project if it doesn't already exist.\r\n6. Import Grafana dashboard. When importing, you need to specify the \"send_interval\" configured in JMeter (the default is 5 seconds) and the transaction_mark. The transaction_mark is used to distinguish between transactions and requests. For example, if your naming convention includes \"TR\" for each transaction, you can simply type \"TR\" to ensure proper graph generation.\r\n\r\nDeveloped by the [PerForge team](https://github.com/PerForge/PerForge).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-11-07T18:17:35.000Z","updatedAt":"2024-11-14T09:18:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22232"},{"rel":"revisions","href":"/dashboards/22232/revisions"},{"rel":"revision","href":"/dashboards/22232/revisions/1"},{"rel":"download","href":"/dashboards/22232/revisions/1/download"},{"rel":"org","href":"/orgs/ushklianik"},{"rel":"images","href":"/dashboards/22232/images"},{"rel":"thumbnails","href":"/dashboards/22232/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17444,"status":1,"statusCode":"active","orgId":747296,"orgSlug":"nugie","orgName":"Novianto Nugroho","slug":"jmeter-report-influxdb2-0","downloads":724,"revisionId":26796,"revision":1,"name":"JMeter x InfluxDB2","description":"This dashboard to present Jmeter result","readme":"# Info\r\nThis dashboard i'm try to modification from someone uploaded on [grafana dashboards](https://grafana.com/grafana/dashboards/)\r\n\r\nand i'll try to improve the chart and up to date for the future\r\n\r\n![Alt text](https://user-images.githubusercontent.com/46818651/202912652-7ee96f3d-be16-4348-a599-da9515ef06e0.png)\r\n\r\n# How to setup\r\n\r\nJmeter version 5.5 or higher \r\n\r\nInfluxDB version 2.x or higher\r\n\r\nPlugin Jmeter -> jmeter-plugins-influxdb2-listener-2.x.jar and then put in jmeter's folder -> lib/ext \r\n \r\nFor detail please visit [noviantonugroho4 github](https://github.com/noviantonugroho4/jmeter-influxdb2-grafana) ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-11-20T16:37:37.000Z","updatedAt":"2024-08-15T08:21:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17444"},{"rel":"revisions","href":"/dashboards/17444/revisions"},{"rel":"revision","href":"/dashboards/17444/revisions/1"},{"rel":"download","href":"/dashboards/17444/revisions/1/download"},{"rel":"org","href":"/orgs/nugie"},{"rel":"images","href":"/dashboards/17444/images"},{"rel":"thumbnails","href":"/dashboards/17444/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20381,"status":1,"statusCode":"active","orgId":130678,"orgSlug":"dineshalagesan","orgName":"Dinesh Alagesan","slug":"jmeter-dasboard-full-details","downloads":269,"revisionId":31458,"revision":1,"name":"JMeter_Dasboard_Full_Details","description":"Dashboard for JMeter tests with Influx DB as back-end listening DB","readme":"{\r\n  \"__inputs\": [\r\n    {\r\n      \"name\": \"VAR_MEASUREMENT_NAME\",\r\n      \"type\": \"constant\",\r\n      \"label\": \"Measurement name\",\r\n      \"value\": \"jmeter\",\r\n      \"description\": \"\"\r\n    },\r\n    {\r\n      \"name\": \"VAR_SEND_INTERVAL\",\r\n      \"type\": \"constant\",\r\n      \"label\": \"Backend send interval in second\",\r\n      \"value\": \"5\",\r\n      \"description\": \"\"\r\n    }\r\n  ],\r\n  \"__requires\": [\r\n    {\r\n      \"type\": \"grafana\",\r\n      \"id\": \"grafana\",\r\n      \"name\": \"Grafana\",\r\n      \"version\": \"5.1.4\"\r\n    },\r\n    {\r\n      \"type\": \"panel\",\r\n      \"id\": \"graph\",\r\n      \"name\": \"Graph\",\r\n      \"version\": \"5.0.0\"\r\n    },\r\n    {\r\n      \"type\": \"panel\",\r\n      \"id\": \"singlestat\",\r\n      \"name\": \"Singlestat\",\r\n      \"version\": \"5.0.0\"\r\n    },\r\n    {\r\n      \"type\": \"panel\",\r\n      \"id\": \"table\",\r\n      \"name\": \"Table\",\r\n      \"version\": \"5.0.0\"\r\n    }\r\n  ],\r\n  \"annotations\": {\r\n    \"list\": [\r\n      {\r\n        \"builtIn\": 1,\r\n        \"datasource\": \"$data_source\",\r\n        \"enable\": false,\r\n        \"hide\": true,\r\n        \"iconColor\": \"rgba(0, 211, 255, 1)\",\r\n        \"limit\": 100,\r\n        \"name\": \"Start/stop marker\",\r\n        \"query\": \"select text from events where $timeFilter\",\r\n        \"showIn\": 0,\r\n        \"textColumn\": \"\",\r\n        \"type\": \"dashboard\"\r\n      }\r\n    ]\r\n  },\r\n  \"description\": \"Dashboard for JMeter tests with Influx DB as back-end listening DB\",\r\n  \"editable\": true,\r\n  \"gnetId\": 4026,\r\n  \"graphTooltip\": 1,\r\n  \"id\": null,\r\n  \"iteration\": 1536230895850,\r\n  \"links\": [],\r\n  \"panels\": [\r\n    {\r\n      \"collapsed\": false,\r\n      \"gridPos\": {\r\n        \"h\": 1,\r\n        \"w\": 24,\r\n        \"x\": 0,\r\n        \"y\": 0\r\n      },\r\n      \"id\": 40,\r\n      \"panels\": [],\r\n      \"repeat\": null,\r\n      \"title\": \"Overall Test Summary\",\r\n      \"type\": \"row\"\r\n    },\r\n    {\r\n      \"cacheTimeout\": null,\r\n      \"colorBackground\": false,\r\n      \"colorValue\": true,\r\n      \"colors\": [\r\n        \"#1f78c1\",\r\n        \"#1f78c1\",\r\n        \"#1f78c1\"\r\n      ],\r\n      \"datasource\": \"$data_source\",\r\n      \"decimals\": 0,\r\n      \"format\": \"none\",\r\n      \"gauge\": {\r\n        \"maxValue\": 100,\r\n        \"minValue\": 0,\r\n        \"show\": false,\r\n        \"thresholdLabels\": false,\r\n        \"thresholdMarkers\": true\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 4,\r\n        \"w\": 3,\r\n        \"x\": 0,\r\n        \"y\": 1\r\n      },\r\n      \"height\": \"\",\r\n      \"id\": 51,\r\n      \"interval\": \"[[send_interval]]s\",\r\n      \"links\": [],\r\n      \"mappingType\": 1,\r\n      \"mappingTypes\": [\r\n        {\r\n          \"name\": \"value to text\",\r\n          \"value\": 1\r\n        },\r\n        {\r\n          \"name\": \"range to text\",\r\n          \"value\": 2\r\n        }\r\n      ],\r\n      \"maxDataPoints\": 100,\r\n      \"minSpan\": 11,\r\n      \"nullPointMode\": \"connected\",\r\n      \"nullText\": null,\r\n      \"postfix\": \" Users\",\r\n      \"postfixFontSize\": \"50%\",\r\n      \"prefix\": \"\",\r\n      \"prefixFontSize\": \"50%\",\r\n      \"rangeMaps\": [\r\n        {\r\n          \"from\": \"null\",\r\n          \"text\": \"N/A\",\r\n          \"to\": \"null\"\r\n        }\r\n      ],\r\n      \"repeatDirection\": \"h\",\r\n      \"sparkline\": {\r\n        \"fillColor\": \"rgba(31, 118, 189, 0.18)\",\r\n        \"full\": true,\r\n        \"lineColor\": \"rgb(0, 191, 17)\",\r\n        \"show\": false\r\n      },\r\n      \"tableColumn\": \"max\",\r\n      \"targets\": [\r\n        {\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"$__interval\"\r\n              ],\r\n              \"type\": \"time\"\r\n            },\r\n            {\r\n              \"params\": [\r\n                \"null\"\r\n              ],\r\n              \"type\": \"fill\"\r\n            }\r\n          ],\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"query\": \"SELECT last(\\\"maxAT\\\") FROM \\\"$measurement_name\\\" WHERE (\\\"transaction\\\" = 'internal' AND \\\"application\\\" =~ /^$application$/) AND $timeFilter GROUP BY time($__interval) fill(null)\",\r\n          \"rawQuery\": true,\r\n          \"refId\": \"A\",\r\n          \"resultFormat\": \"time_series\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"value\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"mean\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": []\r\n        }\r\n      ],\r\n      \"thresholds\": \"\",\r\n      \"title\": \"Users\",\r\n      \"transparent\": true,\r\n      \"type\": \"singlestat\",\r\n      \"valueFontSize\": \"80%\",\r\n      \"valueMaps\": [\r\n        {\r\n          \"op\": \"=\",\r\n          \"text\": \"0\",\r\n          \"value\": \"null\"\r\n        }\r\n      ],\r\n      \"valueName\": \"max\"\r\n    },\r\n    {\r\n      \"cacheTimeout\": null,\r\n      \"colorBackground\": false,\r\n      \"colorValue\": true,\r\n      \"colors\": [\r\n        \"#1f78c1\",\r\n        \"#1f78c1\",\r\n        \"#1f78c1\"\r\n      ],\r\n      \"datasource\": \"$data_source\",\r\n      \"decimals\": 2,\r\n      \"format\": \"none\",\r\n      \"gauge\": {\r\n        \"maxValue\": 100,\r\n        \"minValue\": 0,\r\n        \"show\": false,\r\n        \"thresholdLabels\": false,\r\n        \"thresholdMarkers\": true\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 4,\r\n        \"w\": 3,\r\n        \"x\": 3,\r\n        \"y\": 1\r\n      },\r\n      \"height\": \"\",\r\n      \"id\": 52,\r\n      \"interval\": \"[[send_interval]]s\",\r\n      \"links\": [],\r\n      \"mappingType\": 1,\r\n      \"mappingTypes\": [\r\n        {\r\n          \"name\": \"value to text\",\r\n          \"value\": 1\r\n        },\r\n        {\r\n          \"name\": \"range to text\",\r\n          \"value\": 2\r\n        }\r\n      ],\r\n      \"maxDataPoints\": 100,\r\n      \"minSpan\": 11,\r\n      \"nullPointMode\": \"connected\",\r\n      \"nullText\": null,\r\n      \"postfix\": \" TPS\",\r\n      \"postfixFontSize\": \"50%\",\r\n      \"prefix\": \"\",\r\n      \"prefixFontSize\": \"50%\",\r\n      \"rangeMaps\": [\r\n        {\r\n          \"from\": \"null\",\r\n          \"text\": \"N/A\",\r\n          \"to\": \"null\"\r\n        }\r\n      ],\r\n      \"repeatDirection\": \"h\",\r\n      \"sparkline\": {\r\n        \"fillColor\": \"rgba(31, 118, 189, 0.18)\",\r\n        \"full\": true,\r\n        \"lineColor\": \"rgb(0, 191, 17)\",\r\n        \"show\": false\r\n      },\r\n      \"tableColumn\": \"max\",\r\n      \"targets\": [\r\n        {\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"$__interval\"\r\n              ],\r\n              \"type\": \"time\"\r\n            },\r\n            {\r\n              \"params\": [\r\n                \"null\"\r\n              ],\r\n              \"type\": \"fill\"\r\n            }\r\n          ],\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"query\": \"SELECT mean(\\\"count\\\") / $send_interval FROM \\\"$measurement_name\\\" WHERE (\\\"transaction\\\" = 'all' AND \\\"application\\\" =~ /^$application$/) AND $timeFilter GROUP BY time($__interval) fill(null)\",\r\n          \"rawQuery\": true,\r\n          \"refId\": \"A\",\r\n          \"resultFormat\": \"time_series\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"value\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"mean\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": []\r\n        }\r\n      ],\r\n      \"thresholds\": \"\",\r\n      \"title\": \"Overall TPS (Average)\",\r\n      \"transparent\": true,\r\n      \"type\": \"singlestat\",\r\n      \"valueFontSize\": \"80%\",\r\n      \"valueMaps\": [\r\n        {\r\n          \"op\": \"=\",\r\n          \"text\": \"0\",\r\n          \"value\": \"null\"\r\n        }\r\n      ],\r\n      \"valueName\": \"avg\"\r\n    },\r\n    {\r\n      \"cacheTimeout\": null,\r\n      \"colorBackground\": false,\r\n      \"colorValue\": true,\r\n      \"colors\": [\r\n        \"#e5ac0e\",\r\n        \"#e5ac0e\",\r\n        \"#e5ac0e\"\r\n      ],\r\n      \"datasource\": \"$data_source\",\r\n      \"decimals\": 0,\r\n      \"format\": \"none\",\r\n      \"gauge\": {\r\n        \"maxValue\": 100,\r\n        \"minValue\": 0,\r\n        \"show\": false,\r\n        \"thresholdLabels\": false,\r\n        \"thresholdMarkers\": true\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 2,\r\n        \"w\": 8,\r\n        \"x\": 6,\r\n        \"y\": 1\r\n      },\r\n      \"height\": \"\",\r\n      \"id\": 26,\r\n      \"interval\": \"[[send_interval]]s\",\r\n      \"links\": [],\r\n      \"mappingType\": 1,\r\n      \"mappingTypes\": [\r\n        {\r\n          \"name\": \"value to text\",\r\n          \"value\": 1\r\n        },\r\n        {\r\n          \"name\": \"range to text\",\r\n          \"value\": 2\r\n        }\r\n      ],\r\n      \"maxDataPoints\": 100,\r\n      \"nullPointMode\": \"connected\",\r\n      \"nullText\": null,\r\n      \"postfix\": \" Requests\",\r\n      \"postfixFontSize\": \"50%\",\r\n      \"prefix\": \"\",\r\n      \"prefixFontSize\": \"50%\",\r\n      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\"params\": [],\r\n                \"type\": \"mean\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": []\r\n        }\r\n      ],\r\n      \"thresholds\": \"0,0.01\",\r\n      \"title\": \"Pass %\",\r\n      \"transparent\": true,\r\n      \"type\": \"singlestat\",\r\n      \"valueFontSize\": \"70%\",\r\n      \"valueMaps\": [\r\n        {\r\n          \"op\": \"=\",\r\n          \"text\": \"0\",\r\n          \"value\": \"null\"\r\n        }\r\n      ],\r\n      \"valueName\": \"total\"\r\n    },\r\n    {\r\n      \"cacheTimeout\": null,\r\n      \"colorBackground\": false,\r\n      \"colorValue\": true,\r\n      \"colors\": [\r\n        \"#299c46\",\r\n        \"#ef843c\",\r\n        \"#e24d42\"\r\n      ],\r\n      \"datasource\": \"$data_source\",\r\n      \"decimals\": 2,\r\n      \"format\": \"percentunit\",\r\n      \"gauge\": {\r\n        \"maxValue\": 1,\r\n        \"minValue\": 0,\r\n        \"show\": true,\r\n        \"thresholdLabels\": false,\r\n        \"thresholdMarkers\": true\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 4,\r\n        \"w\": 4,\r\n        \"x\": 19,\r\n        \"y\": 1\r\n      },\r\n      \"id\": 29,\r\n      \"interval\": \"[[send_interval]]s\",\r\n      \"links\": [],\r\n      \"mappingType\": 1,\r\n      \"mappingTypes\": [\r\n        {\r\n          \"name\": \"value to text\",\r\n          \"value\": 1\r\n        },\r\n        {\r\n          \"name\": \"range to text\",\r\n          \"value\": 2\r\n        }\r\n      ],\r\n      \"maxDataPoints\": 100,\r\n      \"nullPointMode\": \"connected\",\r\n      \"nullText\": null,\r\n      \"postfix\": \"\",\r\n      \"postfixFontSize\": \"50%\",\r\n      \"prefix\": \"\",\r\n      \"prefixFontSize\": \"50%\",\r\n      \"rangeMaps\": [\r\n        {\r\n          \"from\": \"null\",\r\n          \"text\": \"N/A\",\r\n          \"to\": \"null\"\r\n        }\r\n      ],\r\n      \"sparkline\": {\r\n        \"fillColor\": \"rgba(31, 118, 189, 0.18)\",\r\n        \"full\": false,\r\n        \"lineColor\": \"rgb(31, 120, 193)\",\r\n        \"show\": false\r\n      },\r\n      \"tableColumn\": \"\",\r\n      \"targets\": [\r\n        {\r\n          \"dsType\": \"influxdb\",\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"$__interval\"\r\n              ],\r\n              \"type\": \"time\"\r\n            },\r\n            {\r\n              \"params\": [\r\n                \"null\"\r\n              ],\r\n              \"type\": \"fill\"\r\n            }\r\n          ],\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"query\": \"SELECT sum(\\\"error\\\") / sum(\\\"all\\\") FROM (SELECT sum(\\\"count\\\") AS \\\"all\\\" FROM \\\"$measurement_name\\\" WHERE \\\"transaction\\\" = 'all' AND \\\"application\\\" =~ /^$application$/ AND $timeFilter GROUP BY time($__interval) fill(null)), (SELECT sum(\\\"countError\\\") AS \\\"error\\\" FROM 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    \"name\": \"range to text\",\r\n          \"value\": 2\r\n        }\r\n      ],\r\n      \"maxDataPoints\": 100,\r\n      \"minSpan\": 11,\r\n      \"nullPointMode\": \"connected\",\r\n      \"nullText\": null,\r\n      \"postfix\": \" Passed\",\r\n      \"postfixFontSize\": \"50%\",\r\n      \"prefix\": \"\",\r\n      \"prefixFontSize\": \"50%\",\r\n      \"rangeMaps\": [\r\n        {\r\n          \"from\": \"null\",\r\n          \"text\": \"N/A\",\r\n          \"to\": \"null\"\r\n        }\r\n      ],\r\n      \"repeat\": null,\r\n      \"repeatDirection\": \"h\",\r\n      \"sparkline\": {\r\n        \"fillColor\": \"rgba(31, 118, 189, 0.18)\",\r\n        \"full\": false,\r\n        \"lineColor\": \"rgb(0, 191, 17)\",\r\n        \"show\": true\r\n      },\r\n      \"tableColumn\": \"\",\r\n      \"targets\": [\r\n        {\r\n          \"dsType\": \"influxdb\",\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"$__interval\"\r\n       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[\r\n        \"#299c46\",\r\n        \"#e24d42\",\r\n        \"#d44a3a\"\r\n      ],\r\n      \"datasource\": \"$data_source\",\r\n      \"decimals\": 0,\r\n      \"format\": \"none\",\r\n      \"gauge\": {\r\n        \"maxValue\": 100,\r\n        \"minValue\": 0,\r\n        \"show\": false,\r\n        \"thresholdLabels\": false,\r\n        \"thresholdMarkers\": true\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 2,\r\n        \"w\": 4,\r\n        \"x\": 10,\r\n        \"y\": 3\r\n      },\r\n      \"height\": \"\",\r\n      \"id\": 37,\r\n      \"interval\": \"[[send_interval]]s\",\r\n      \"links\": [],\r\n      \"mappingType\": 1,\r\n      \"mappingTypes\": [\r\n        {\r\n          \"name\": \"value to text\",\r\n          \"value\": 1\r\n        },\r\n        {\r\n          \"name\": \"range to text\",\r\n          \"value\": 2\r\n        }\r\n      ],\r\n      \"maxDataPoints\": 100,\r\n      \"nullPointMode\": \"connected\",\r\n      \"nullText\": null,\r\n      \"postfix\": \" Failed\",\r\n      \"postfixFontSize\": \"50%\",\r\n      \"prefix\": \"\",\r\n      \"prefixFontSize\": \"50%\",\r\n      \"rangeMaps\": [\r\n        {\r\n          \"from\": \"null\",\r\n          \"text\": \"N/A\",\r\n          \"to\": \"null\"\r\n        }\r\n      ],\r\n      \"sparkline\": {\r\n        \"fillColor\": \"rgba(31, 118, 189, 0.18)\",\r\n        \"full\": false,\r\n        \"lineColor\": \"#bf1b00\",\r\n        \"show\": true\r\n      },\r\n      \"tableColumn\": \"\",\r\n      \"targets\": [\r\n        {\r\n          \"dsType\": \"influxdb\",\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"$__interval\"\r\n              ],\r\n              \"type\": \"time\"\r\n            },\r\n            {\r\n              \"params\": [\r\n                \"null\"\r\n              ],\r\n              \"type\": \"fill\"\r\n            }\r\n          ],\r\n          \"measurement\": \"/^$measurement_name$/\",\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"query\": \"SELECT sum(\\\"countError\\\") FROM \\\"$measurement_name\\\" WHERE (\\\"transaction\\\" = 'all' AND \\\"application\\\" =~ /^$application$/) AND $timeFilter GROUP BY time($__interval) fill(null)\",\r\n          \"rawQuery\": false,\r\n          \"refId\": \"A\",\r\n          \"resultFormat\": \"time_series\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"count\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"sum\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": [\r\n            {\r\n              \"key\": \"application\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$application$/\"\r\n            },\r\n            {\r\n              \"condition\": 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},\r\n      \"id\": 31,\r\n      \"interval\": \"[[send_interval]]s\",\r\n      \"legend\": {\r\n        \"alignAsTable\": true,\r\n        \"avg\": false,\r\n        \"current\": true,\r\n        \"max\": true,\r\n        \"min\": false,\r\n        \"show\": true,\r\n        \"total\": false,\r\n        \"values\": true\r\n      },\r\n      \"lines\": true,\r\n      \"linewidth\": 3,\r\n      \"links\": [],\r\n      \"nullPointMode\": \"null\",\r\n      \"percentage\": false,\r\n      \"pointradius\": 5,\r\n      \"points\": false,\r\n      \"renderer\": \"flot\",\r\n      \"seriesOverrides\": [],\r\n      \"spaceLength\": 10,\r\n      \"stack\": false,\r\n      \"steppedLine\": false,\r\n      \"targets\": [\r\n        {\r\n          \"alias\": \"Users\",\r\n          \"dsType\": \"influxdb\",\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"$__interval\"\r\n              ],\r\n              \"type\": \"time\"\r\n            },\r\n            {\r\n              \"params\": [\r\n                \"null\"\r\n              ],\r\n              \"type\": \"fill\"\r\n            }\r\n          ],\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"query\": \"SELECT last(\\\"maxAT\\\") FROM \\\"$measurement_name\\\" WHERE (\\\"transaction\\\" = 'internal' AND \\\"application\\\" =~ /^$application$/) AND $timeFilter GROUP BY time($__interval) fill(null)\",\r\n          \"rawQuery\": true,\r\n          \"refId\": \"A\",\r\n          \"resultFormat\": \"time_series\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"value\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"mean\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": []\r\n        }\r\n      ],\r\n      \"thresholds\": [],\r\n      \"timeFrom\": null,\r\n      \"timeShift\": null,\r\n      \"title\": \"Number of Users\",\r\n      \"tooltip\": {\r\n        \"shared\": true,\r\n        \"sort\": 0,\r\n        \"value_type\": \"individual\"\r\n      },\r\n      \"transparent\": true,\r\n      \"type\": \"graph\",\r\n      \"xaxis\": {\r\n        \"buckets\": null,\r\n        \"mode\": \"time\",\r\n        \"name\": null,\r\n        \"show\": true,\r\n        \"values\": []\r\n      },\r\n      \"yaxes\": [\r\n        {\r\n          \"decimals\": 0,\r\n          \"format\": \"short\",\r\n          \"label\": null,\r\n          \"logBase\": 1,\r\n          \"max\": null,\r\n          \"min\": null,\r\n          \"show\": true\r\n        },\r\n        {\r\n          \"format\": \"short\",\r\n          \"label\": null,\r\n          \"logBase\": 1,\r\n          \"max\": null,\r\n          \"min\": null,\r\n          \"show\": true\r\n        }\r\n      ],\r\n      \"yaxis\": {\r\n        \"align\": false,\r\n        \"alignLevel\": null\r\n      }\r\n    },\r\n    {\r\n      \"aliasColors\": {\r\n        \"No of Errors\": \"#6ED0E0\",\r\n        \"Req / s\": \"#6ed0e0\",\r\n        \"Req / sec\": \"#65c5db\",\r\n        \"Transactions\": \"#1f78c1\",\r\n        \"Transactions/sec\": \"#705da0\"\r\n      },\r\n      \"bars\": false,\r\n      \"dashLength\": 10,\r\n      \"dashes\": false,\r\n      \"datasource\": \"$data_source\",\r\n      \"decimals\": 2,\r\n      \"editable\": true,\r\n      \"error\": false,\r\n      \"fill\": 1,\r\n      \"gridPos\": {\r\n        \"h\": 6,\r\n        \"w\": 12,\r\n        \"x\": 12,\r\n        \"y\": 5\r\n      },\r\n      \"id\": 4,\r\n      \"interval\": \"[[send_interval]]s\",\r\n      \"legend\": {\r\n        \"alignAsTable\": true,\r\n        \"avg\": true,\r\n        \"current\": false,\r\n        \"max\": true,\r\n        \"min\": true,\r\n        \"rightSide\": false,\r\n        \"show\": true,\r\n        \"sort\": null,\r\n        \"sortDesc\": null,\r\n        \"total\": false,\r\n        \"values\": true\r\n      },\r\n      \"lines\": true,\r\n      \"linewidth\": 1,\r\n      \"links\": [],\r\n      \"nullPointMode\": \"null\",\r\n      \"percentage\": false,\r\n      \"pointradius\": 1,\r\n      \"points\": false,\r\n      \"renderer\": \"flot\",\r\n      \"seriesOverrides\": [],\r\n      \"spaceLength\": 10,\r\n      \"stack\": false,\r\n      \"steppedLine\": false,\r\n      \"targets\": [\r\n        {\r\n          \"alias\": \"Transactions/sec\",\r\n          \"dsType\": \"influxdb\",\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"$__interval\"\r\n              ],\r\n              \"type\": \"time\"\r\n            }\r\n          ],\r\n          \"measurement\": \"jmeter\",\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"query\": \"SELECT mean(\\\"count\\\") / $send_interval FROM \\\"$measurement_name\\\" WHERE (\\\"transaction\\\" = 'all' AND \\\"application\\\" =~ /^$application$/) AND $timeFilter GROUP BY time($__interval) fill(null)\",\r\n          \"rawQuery\": true,\r\n          \"refId\": \"B\",\r\n          \"resultFormat\": \"time_series\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"count\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"last\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": [\r\n            {\r\n              \"key\": \"transaction\",\r\n              \"operator\": \"=\",\r\n              \"value\": \"all\"\r\n            },\r\n            {\r\n              \"condition\": \"AND\",\r\n              \"key\": \"application\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$application$/\"\r\n            }\r\n          ]\r\n        }\r\n      ],\r\n      \"thresholds\": [],\r\n      \"timeFrom\": null,\r\n      \"timeShift\": null,\r\n      \"title\": \"Total Transactions per second\",\r\n      \"tooltip\": {\r\n        \"msResolution\": false,\r\n        \"shared\": true,\r\n        \"sort\": 0,\r\n        \"value_type\": \"individual\"\r\n      },\r\n      \"transparent\": true,\r\n      \"type\": \"graph\",\r\n      \"xaxis\": {\r\n        \"buckets\": null,\r\n        \"mode\": \"time\",\r\n        \"name\": null,\r\n        \"show\": true,\r\n        \"values\": []\r\n      },\r\n      \"yaxes\": [\r\n        {\r\n          \"format\": \"short\",\r\n          \"label\": null,\r\n          \"logBase\": 1,\r\n          \"max\": null,\r\n          \"min\": null,\r\n          \"show\": true\r\n        },\r\n        {\r\n          \"format\": \"short\",\r\n          \"label\": null,\r\n          \"logBase\": 1,\r\n          \"max\": null,\r\n          \"min\": null,\r\n          \"show\": false\r\n        }\r\n      ],\r\n      \"yaxis\": {\r\n        \"align\": false,\r\n        \"alignLevel\": null\r\n      }\r\n    },\r\n    {\r\n      \"columns\": [],\r\n      \"datasource\": \"$data_source\",\r\n      \"fontSize\": \"100%\",\r\n      \"gridPos\": {\r\n        \"h\": 8,\r\n        \"w\": 24,\r\n        \"x\": 0,\r\n        \"y\": 11\r\n      },\r\n      \"id\": 42,\r\n      \"links\": [],\r\n      \"pageSize\": null,\r\n      \"scroll\": true,\r\n      \"showHeader\": true,\r\n      \"sort\": {\r\n        \"col\": 1,\r\n        \"desc\": false\r\n      },\r\n      \"styles\": [\r\n        {\r\n          \"alias\": \"Time\",\r\n          \"dateFormat\": \"YYYY-MM-DD HH:mm:ss\",\r\n          \"link\": false,\r\n          \"pattern\": \"Time\",\r\n          \"type\": \"hidden\"\r\n        },\r\n        {\r\n          \"alias\": \"\",\r\n          \"colorMode\": null,\r\n          \"colors\": [\r\n            \"rgba(245, 54, 54, 0.9)\",\r\n            \"rgba(237, 129, 40, 0.89)\",\r\n            \"rgba(50, 172, 45, 0.97)\"\r\n          ],\r\n          \"dateFormat\": \"YYYY-MM-DD HH:mm:ss\",\r\n          \"decimals\": 0,\r\n          \"pattern\": \"Pass\",\r\n          \"thresholds\": [],\r\n          \"type\": \"number\",\r\n          \"unit\": \"none\"\r\n        },\r\n        {\r\n          \"alias\": \"\",\r\n          \"colorMode\": \"row\",\r\n          \"colors\": [\r\n            \"#3f6833\",\r\n            \"#890f02\",\r\n            \"#890f02\"\r\n          ],\r\n          \"dateFormat\": \"YYYY-MM-DD HH:mm:ss\",\r\n          \"decimals\": 2,\r\n          \"pattern\": \"90 Percentile\",\r\n          \"thresholds\": [\r\n            \"1000\"\r\n          ],\r\n          \"type\": \"number\",\r\n          \"unit\": \"ms\"\r\n        },\r\n        {\r\n          \"alias\": \"\",\r\n          \"colorMode\": null,\r\n          \"colors\": [\r\n            \"rgba(245, 54, 54, 0.9)\",\r\n            \"rgba(237, 129, 40, 0.89)\",\r\n            \"rgba(50, 172, 45, 0.97)\"\r\n          ],\r\n          \"dateFormat\": \"YYYY-MM-DD HH:mm:ss\",\r\n          \"decimals\": 0,\r\n          \"pattern\": \"Fail\",\r\n          \"thresholds\": [],\r\n          \"type\": \"number\",\r\n          \"unit\": \"none\"\r\n        },\r\n        {\r\n          \"alias\": \"\",\r\n          \"colorMode\": null,\r\n          \"colors\": [\r\n            \"rgba(50, 172, 45, 0.97)\",\r\n            \"#e24d42\",\r\n            \"rgba(245, 54, 54, 0.9)\"\r\n          ],\r\n          \"decimals\": 2,\r\n          \"link\": false,\r\n          \"pattern\": \"/.*/\",\r\n          \"thresholds\": [\r\n            \"3000\"\r\n          ],\r\n          \"type\": \"number\",\r\n          \"unit\": \"ms\"\r\n        }\r\n      ],\r\n      \"targets\": [\r\n        {\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"transaction\"\r\n              ],\r\n              \"type\": \"tag\"\r\n            }\r\n          ],\r\n          \"measurement\": \"/^$measurement_name$/\",\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"refId\": \"A\",\r\n          \"resultFormat\": \"table\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"avg\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"mean\"\r\n              },\r\n              {\r\n                \"params\": [\r\n                  \"Average\"\r\n                ],\r\n                \"type\": \"alias\"\r\n              }\r\n            ],\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"pct90.0\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"last\"\r\n              },\r\n              {\r\n                \"params\": [\r\n                  \"90 Percentile\"\r\n                ],\r\n                \"type\": \"alias\"\r\n              }\r\n            ],\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"max\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"max\"\r\n              },\r\n              {\r\n                \"params\": [\r\n                  \"Max\"\r\n                ],\r\n                \"type\": \"alias\"\r\n              }\r\n            ],\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"count\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"sum\"\r\n              },\r\n              {\r\n                \"params\": [\r\n                  \"Pass\"\r\n                ],\r\n                \"type\": \"alias\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": [\r\n            {\r\n              \"key\": \"application\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$application$/\"\r\n            },\r\n            {\r\n              \"condition\": \"AND\",\r\n              \"key\": \"statut\",\r\n              \"operator\": \"=\",\r\n              \"value\": \"ok\"\r\n            }\r\n          ]\r\n        },\r\n        {\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"transaction\"\r\n              ],\r\n              \"type\": \"tag\"\r\n            }\r\n          ],\r\n          \"measurement\": \"/^$measurement_name$/\",\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"refId\": \"B\",\r\n          \"resultFormat\": \"table\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"count\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"sum\"\r\n              },\r\n              {\r\n                \"params\": [\r\n                  \"Fail\"\r\n                ],\r\n                \"type\": \"alias\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": [\r\n            {\r\n              \"key\": \"application\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$application$/\"\r\n            },\r\n            {\r\n              \"condition\": \"AND\",\r\n              \"key\": \"statut\",\r\n              \"operator\": \"=\",\r\n              \"value\": \"ko\"\r\n            }\r\n          ]\r\n        }\r\n      ],\r\n      \"title\": \"Transaction Response Times\",\r\n      \"transform\": \"table\",\r\n      \"transparent\": false,\r\n      \"type\": \"table\"\r\n    },\r\n    {\r\n      \"aliasColors\": {\r\n        \"banner\": \"#508642\"\r\n      },\r\n      \"bars\": false,\r\n      \"dashLength\": 10,\r\n      \"dashes\": false,\r\n      \"datasource\": \"$data_source\",\r\n      \"decimals\": 2,\r\n      \"editable\": true,\r\n      \"error\": false,\r\n      \"fill\": 0,\r\n      \"gridPos\": {\r\n        \"h\": 7,\r\n        \"w\": 12,\r\n        \"x\": 0,\r\n        \"y\": 19\r\n      },\r\n      \"height\": \"\",\r\n      \"id\": 23,\r\n      \"interval\": \"[[send_interval]]s\",\r\n      \"legend\": {\r\n        \"alignAsTable\": true,\r\n        \"avg\": false,\r\n        \"current\": false,\r\n        \"hideEmpty\": true,\r\n        \"hideZero\": true,\r\n        \"max\": false,\r\n        \"min\": false,\r\n        \"rightSide\": true,\r\n        \"show\": true,\r\n        \"sideWidth\": null,\r\n        \"total\": false,\r\n        \"values\": false\r\n      },\r\n      \"lines\": true,\r\n      \"linewidth\": 1,\r\n      \"links\": [],\r\n      \"nullPointMode\": \"null\",\r\n      \"percentage\": false,\r\n      \"pointradius\": 1,\r\n      \"points\": false,\r\n      \"renderer\": \"flot\",\r\n      \"seriesOverrides\": [],\r\n      \"spaceLength\": 10,\r\n      \"stack\": false,\r\n      \"steppedLine\": false,\r\n      \"targets\": [\r\n        {\r\n          \"alias\": \"$tag_transaction\",\r\n          \"dsType\": \"influxdb\",\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"transaction\"\r\n              ],\r\n              \"type\": \"tag\"\r\n            }\r\n          ],\r\n          \"measurement\": \"jmeter\",\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"query\": \"SELECT mean(\\\"pct95.0\\\") FROM \\\"$measurement_name\\\" WHERE (\\\"statut\\\" = 'ok' AND \\\"application\\\" =~ /^$application$/) AND $timeFilter GROUP BY \\\"transaction\\\", time($__interval) fill(null)\",\r\n          \"rawQuery\": false,\r\n          \"refId\": \"B\",\r\n          \"resultFormat\": \"time_series\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"pct90.0\"\r\n                ],\r\n                \"type\": \"field\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": [\r\n            {\r\n              \"key\": \"statut\",\r\n              \"operator\": \"=\",\r\n              \"value\": \"ok\"\r\n            },\r\n            {\r\n              \"condition\": \"AND\",\r\n              \"key\": \"application\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$application$/\"\r\n            }\r\n          ]\r\n        }\r\n      ],\r\n      \"thresholds\": [\r\n        {\r\n          \"colorMode\": \"ok\",\r\n          \"fill\": false,\r\n          \"line\": false,\r\n          \"op\": \"lt\",\r\n          \"value\": 2500\r\n        },\r\n        {\r\n          \"colorMode\": \"warning\",\r\n          \"fill\": false,\r\n          \"line\": false,\r\n          \"op\": \"gt\",\r\n          \"value\": 2500\r\n        },\r\n        {\r\n          \"colorMode\": \"critical\",\r\n          \"fill\": false,\r\n          \"line\": false,\r\n          \"op\": \"gt\",\r\n          \"value\": 3000\r\n        }\r\n      ],\r\n      \"timeFrom\": null,\r\n      \"timeShift\": null,\r\n      \"title\": \"Transactions Response Times (90th percentile)\",\r\n      \"tooltip\": {\r\n        \"msResolution\": false,\r\n        \"shared\": true,\r\n        \"sort\": 0,\r\n        \"value_type\": \"individual\"\r\n      },\r\n      \"transparent\": false,\r\n      \"type\": \"graph\",\r\n      \"xaxis\": {\r\n        \"buckets\": null,\r\n        \"mode\": \"time\",\r\n        \"name\": null,\r\n        \"show\": true,\r\n        \"values\": []\r\n      },\r\n      \"yaxes\": [\r\n        {\r\n          \"format\": \"ms\",\r\n          \"label\": \"Response Time\",\r\n          \"logBase\": 1,\r\n          \"max\": null,\r\n          \"min\": null,\r\n          \"show\": true\r\n        },\r\n        {\r\n          \"format\": \"short\",\r\n          \"label\": null,\r\n          \"logBase\": 1,\r\n          \"max\": null,\r\n          \"min\": null,\r\n          \"show\": false\r\n        }\r\n      ],\r\n      \"yaxis\": {\r\n        \"align\": false,\r\n        \"alignLevel\": null\r\n      }\r\n    },\r\n    {\r\n      \"aliasColors\": {\r\n        \"banner\": \"#508642\"\r\n      },\r\n      \"bars\": false,\r\n      \"dashLength\": 10,\r\n      \"dashes\": false,\r\n      \"datasource\": \"$data_source\",\r\n      \"decimals\": 2,\r\n      \"editable\": true,\r\n      \"error\": false,\r\n      \"fill\": 0,\r\n      \"gridPos\": {\r\n        \"h\": 7,\r\n        \"w\": 12,\r\n        \"x\": 12,\r\n        \"y\": 19\r\n      },\r\n      \"height\": \"\",\r\n      \"id\": 50,\r\n      \"interval\": \"[[send_interval]]s\",\r\n      \"legend\": {\r\n        \"alignAsTable\": true,\r\n        \"avg\": false,\r\n        \"current\": false,\r\n        \"hideEmpty\": true,\r\n        \"hideZero\": true,\r\n        \"max\": false,\r\n        \"min\": false,\r\n        \"rightSide\": true,\r\n        \"show\": true,\r\n        \"sideWidth\": null,\r\n        \"total\": false,\r\n        \"values\": false\r\n      },\r\n      \"lines\": true,\r\n      \"linewidth\": 1,\r\n      \"links\": [],\r\n      \"nullPointMode\": \"null\",\r\n      \"percentage\": false,\r\n      \"pointradius\": 1,\r\n      \"points\": false,\r\n      \"renderer\": \"flot\",\r\n      \"seriesOverrides\": [],\r\n      \"spaceLength\": 10,\r\n      \"stack\": false,\r\n      \"steppedLine\": false,\r\n      \"targets\": [\r\n        {\r\n          \"alias\": \"$tag_transaction\",\r\n          \"dsType\": \"influxdb\",\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n       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\"ok\"\r\n            },\r\n            {\r\n              \"condition\": \"AND\",\r\n              \"key\": \"application\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$application$/\"\r\n            }\r\n          ]\r\n        }\r\n      ],\r\n      \"thresholds\": [\r\n        {\r\n          \"colorMode\": \"ok\",\r\n          \"fill\": false,\r\n          \"line\": false,\r\n          \"op\": \"lt\",\r\n          \"value\": 2500\r\n        },\r\n        {\r\n          \"colorMode\": \"warning\",\r\n          \"fill\": false,\r\n          \"line\": false,\r\n          \"op\": \"gt\",\r\n          \"value\": 2500\r\n        },\r\n        {\r\n          \"colorMode\": \"critical\",\r\n          \"fill\": false,\r\n          \"line\": false,\r\n          \"op\": \"gt\",\r\n          \"value\": 3000\r\n        }\r\n      ],\r\n      \"timeFrom\": null,\r\n      \"timeShift\": null,\r\n      \"title\": \"Transactions Response Times (Average)\",\r\n      \"tooltip\": {\r\n        \"msResolution\": false,\r\n        \"shared\": true,\r\n        \"sort\": 0,\r\n        \"value_type\": \"individual\"\r\n      },\r\n      \"transparent\": false,\r\n      \"type\": \"graph\",\r\n      \"xaxis\": {\r\n        \"buckets\": null,\r\n        \"mode\": \"time\",\r\n        \"name\": null,\r\n        \"show\": true,\r\n        \"values\": []\r\n      },\r\n      \"yaxes\": [\r\n        {\r\n          \"format\": \"ms\",\r\n          \"label\": \"Response Time\",\r\n          \"logBase\": 1,\r\n          \"max\": null,\r\n          \"min\": null,\r\n          \"show\": true\r\n        },\r\n        {\r\n          \"format\": \"short\",\r\n          \"label\": null,\r\n          \"logBase\": 1,\r\n          \"max\": null,\r\n          \"min\": null,\r\n          \"show\": false\r\n        }\r\n      ],\r\n      \"yaxis\": {\r\n        \"align\": false,\r\n        \"alignLevel\": null\r\n      }\r\n    },\r\n    {\r\n      \"aliasColors\": {\r\n        \"Hits per second\": \"#f4d598\",\r\n        \"Num of Errors\": \"#bf1b00\",\r\n        \"num of errors\": \"#bf1b00\"\r\n      },\r\n      \"bars\": false,\r\n      \"dashLength\": 10,\r\n      \"dashes\": false,\r\n      \"datasource\": \"$data_source\",\r\n      \"decimals\": 0,\r\n      \"fill\": 1,\r\n      \"gridPos\": {\r\n        \"h\": 6,\r\n        \"w\": 12,\r\n        \"x\": 0,\r\n        \"y\": 26\r\n      },\r\n      \"id\": 32,\r\n      \"interval\": \"[[send_interval]]s\",\r\n      \"legend\": {\r\n        \"alignAsTable\": true,\r\n        \"avg\": true,\r\n        \"current\": true,\r\n        \"max\": false,\r\n        \"min\": false,\r\n        \"rightSide\": false,\r\n        \"show\": true,\r\n        \"total\": true,\r\n        \"values\": true\r\n      },\r\n      \"lines\": true,\r\n      \"linewidth\": 1,\r\n      \"links\": [],\r\n      \"nullPointMode\": \"null\",\r\n      \"percentage\": false,\r\n      \"pointradius\": 1,\r\n      \"points\": false,\r\n      \"renderer\": \"flot\",\r\n      \"seriesOverrides\": [],\r\n      \"spaceLength\": 10,\r\n      \"stack\": false,\r\n      \"steppedLine\": false,\r\n      \"targets\": [\r\n        {\r\n          \"alias\": \"Hits per second\",\r\n          \"dsType\": \"influxdb\",\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"$__interval\"\r\n              ],\r\n              \"type\": \"time\"\r\n            },\r\n            {\r\n              \"params\": [\r\n                \"null\"\r\n              ],\r\n              \"type\": \"fill\"\r\n            }\r\n          ],\r\n          \"hide\": false,\r\n          \"measurement\": \"/^$measurement_name$/\",\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"query\": \"SELECT sum(\\\"count\\\") FROM \\\"$measurement_name\\\" WHERE \\\"application\\\" =~ /^$application$/ AND \\\"transaction\\\" = \\\"all\\\" AND \\\"statut\\\" = 'ko' AND $timeFilter GROUP BY time($__interval) fill(null)\",\r\n          \"rawQuery\": false,\r\n          \"refId\": \"A\",\r\n          \"resultFormat\": \"time_series\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"hit\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"mean\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": [\r\n            {\r\n              \"key\": \"application\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$application$/\"\r\n            }\r\n          ]\r\n        }\r\n      ],\r\n      \"thresholds\": [],\r\n      \"timeFrom\": null,\r\n      \"timeShift\": null,\r\n      \"title\": \"Hits per second\",\r\n      \"tooltip\": {\r\n        \"shared\": true,\r\n        \"sort\": 0,\r\n        \"value_type\": \"individual\"\r\n      },\r\n    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10,\r\n      \"dashes\": false,\r\n      \"datasource\": \"$data_source\",\r\n      \"decimals\": 0,\r\n      \"fill\": 5,\r\n      \"gridPos\": {\r\n        \"h\": 6,\r\n        \"w\": 12,\r\n        \"x\": 12,\r\n        \"y\": 26\r\n      },\r\n      \"id\": 43,\r\n      \"interval\": \"[[send_interval]]s\",\r\n      \"legend\": {\r\n        \"alignAsTable\": true,\r\n        \"avg\": true,\r\n        \"current\": true,\r\n        \"max\": false,\r\n        \"min\": false,\r\n        \"rightSide\": false,\r\n        \"show\": true,\r\n        \"total\": true,\r\n        \"values\": true\r\n      },\r\n      \"lines\": true,\r\n      \"linewidth\": 1,\r\n      \"links\": [],\r\n      \"nullPointMode\": \"null\",\r\n      \"percentage\": false,\r\n      \"pointradius\": 1,\r\n      \"points\": false,\r\n      \"renderer\": \"flot\",\r\n      \"seriesOverrides\": [],\r\n      \"spaceLength\": 10,\r\n      \"stack\": false,\r\n      \"steppedLine\": false,\r\n      \"targets\": [\r\n    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 \"sort\": {\r\n        \"col\": 0,\r\n        \"desc\": true\r\n      },\r\n      \"styles\": [\r\n        {\r\n          \"alias\": \"Time\",\r\n          \"dateFormat\": \"YYYY-MM-DD HH:mm:ss\",\r\n          \"pattern\": \"Time\",\r\n          \"type\": \"hidden\"\r\n        },\r\n        {\r\n          \"alias\": \"\",\r\n          \"colorMode\": null,\r\n          \"colors\": [\r\n            \"rgba(245, 54, 54, 0.9)\",\r\n            \"rgba(237, 129, 40, 0.89)\",\r\n            \"rgba(50, 172, 45, 0.97)\"\r\n          ],\r\n          \"decimals\": 0,\r\n          \"pattern\": \"/.*/\",\r\n          \"thresholds\": [],\r\n          \"type\": \"number\",\r\n          \"unit\": \"short\"\r\n        }\r\n      ],\r\n      \"targets\": [\r\n        {\r\n          \"alias\": \"$tag_responseCode\",\r\n          \"dsType\": \"influxdb\",\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"responseCode\"\r\n              ],\r\n              \"type\": \"tag\"\r\n            },\r\n            {\r\n              \"params\": [\r\n                \"responseMessage\"\r\n              ],\r\n              \"type\": \"tag\"\r\n            }\r\n          ],\r\n          \"measurement\": \"/^$measurement_name$/\",\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"query\": \"SELECT sum(\\\"count\\\") FROM \\\"$measurement_name\\\" WHERE (\\\"application\\\" =~ /^$application$/ AND \\\"responseCode\\\" !~ /^$/) AND $timeFilter GROUP BY \\\"responseCode\\\",\\\"responseMessage\\\"\",\r\n          \"rawQuery\": false,\r\n          \"refId\": \"A\",\r\n          \"resultFormat\": \"table\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"count\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"sum\"\r\n          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\\\"application\\\" =~ /^$application$/ AND \\\"statut\\\" = 'ok' AND $timeFilter GROUP BY time($__interval) fill(null))\",\r\n          \"rawQuery\": true,\r\n          \"refId\": \"A\",\r\n          \"resultFormat\": \"time_series\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"value\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"mean\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": []\r\n        }\r\n      ],\r\n      \"thresholds\": \"0,0.01\",\r\n      \"title\": \"Pass % - $transaction\",\r\n      \"transparent\": true,\r\n      \"type\": \"singlestat\",\r\n      \"valueFontSize\": \"50%\",\r\n      \"valueMaps\": [\r\n        {\r\n          \"op\": \"=\",\r\n          \"text\": \"0\",\r\n          \"value\": \"null\"\r\n        }\r\n      ],\r\n      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  \"maxValue\": 100,\r\n        \"minValue\": 0,\r\n        \"show\": false,\r\n        \"thresholdLabels\": false,\r\n        \"thresholdMarkers\": true\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 3,\r\n        \"w\": 4,\r\n        \"x\": 5,\r\n        \"y\": 41\r\n      },\r\n      \"height\": \"\",\r\n      \"id\": 44,\r\n      \"interval\": \"[[send_interval]]s\",\r\n      \"links\": [],\r\n      \"mappingType\": 1,\r\n      \"mappingTypes\": [\r\n        {\r\n          \"name\": \"value to text\",\r\n          \"value\": 1\r\n        },\r\n        {\r\n          \"name\": \"range to text\",\r\n          \"value\": 2\r\n        }\r\n      ],\r\n      \"maxDataPoints\": 100,\r\n      \"minSpan\": 11,\r\n      \"nullPointMode\": \"connected\",\r\n      \"nullText\": null,\r\n      \"postfix\": \" Passed\",\r\n      \"postfixFontSize\": \"50%\",\r\n      \"prefix\": \"\",\r\n      \"prefixFontSize\": \"50%\",\r\n      \"rangeMaps\": [\r\n        {\r\n          \"from\": \"null\",\r\n          \"text\": \"N/A\",\r\n          \"to\": \"null\"\r\n        }\r\n      ],\r\n      \"repeatDirection\": \"h\",\r\n      \"sparkline\": {\r\n        \"fillColor\": \"rgba(31, 118, 189, 0.18)\",\r\n        \"full\": false,\r\n        \"lineColor\": \"rgb(0, 191, 17)\",\r\n        \"show\": false\r\n      },\r\n      \"tableColumn\": \"\",\r\n      \"targets\": [\r\n        {\r\n          \"dsType\": \"influxdb\",\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"$__interval\"\r\n              ],\r\n              \"type\": \"time\"\r\n            },\r\n            {\r\n              \"params\": [\r\n                \"null\"\r\n              ],\r\n              \"type\": \"fill\"\r\n            }\r\n          ],\r\n          \"hide\": false,\r\n          \"measurement\": \"/^$measurement_name$/\",\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"query\": \"SELECT sum(\\\"count\\\")  FROM \\\"$measurement_name\\\" WHERE (\\\"application\\\" =~ /^$application$/ AND \\\"transaction\\\" =~ /^$transaction$/ AND \\\"statut\\\" = 'ok') AND $timeFilter GROUP BY time($__interval) fill(null)\\n\",\r\n          \"rawQuery\": false,\r\n          \"refId\": \"A\",\r\n          \"resultFormat\": \"time_series\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"count\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"sum\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": [\r\n            {\r\n              \"key\": \"application\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$application$/\"\r\n            },\r\n            {\r\n              \"condition\": \"AND\",\r\n              \"key\": \"transaction\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$transaction$/\"\r\n            },\r\n            {\r\n              \"condition\": \"AND\",\r\n              \"key\": \"statut\",\r\n              \"operator\": \"=\",\r\n              \"value\": \"ok\"\r\n            }\r\n          ]\r\n        }\r\n      ],\r\n      \"thresholds\": \"\",\r\n      \"title\": \"Passed Requests - $transaction\",\r\n      \"transparent\": true,\r\n      \"type\": \"singlestat\",\r\n      \"valueFontSize\": \"50%\",\r\n      \"valueMaps\": [\r\n        {\r\n          \"op\": \"=\",\r\n          \"text\": \"0\",\r\n          \"value\": \"null\"\r\n        }\r\n      ],\r\n      \"valueName\": \"total\"\r\n    },\r\n    {\r\n      \"cacheTimeout\": null,\r\n      \"colorBackground\": false,\r\n      \"colorValue\": true,\r\n      \"colors\": [\r\n        \"#299c46\",\r\n        \"#e24d42\",\r\n        \"#d44a3a\"\r\n      ],\r\n      \"datasource\": \"$data_source\",\r\n      \"decimals\": 0,\r\n      \"format\": \"none\",\r\n      \"gauge\": {\r\n        \"maxValue\": 100,\r\n        \"minValue\": 0,\r\n        \"show\": false,\r\n        \"thresholdLabels\": false,\r\n        \"thresholdMarkers\": true\r\n      },\r\n      \"gridPos\": {\r\n        \"h\": 3,\r\n        \"w\": 3,\r\n        \"x\": 9,\r\n        \"y\": 41\r\n      },\r\n      \"height\": \"\",\r\n      \"id\": 45,\r\n      \"interval\": \"[[send_interval]]s\",\r\n      \"links\": [],\r\n      \"mappingType\": 1,\r\n      \"mappingTypes\": [\r\n        {\r\n          \"name\": \"value to text\",\r\n          \"value\": 1\r\n        },\r\n        {\r\n          \"name\": \"range to text\",\r\n          \"value\": 2\r\n        }\r\n      ],\r\n      \"maxDataPoints\": 100,\r\n      \"nullPointMode\": \"connected\",\r\n      \"nullText\": null,\r\n      \"postfix\": \" Failed\",\r\n      \"postfixFontSize\": \"50%\",\r\n      \"prefix\": \"\",\r\n      \"prefixFontSize\": \"50%\",\r\n      \"rangeMaps\": [\r\n        {\r\n          \"from\": \"null\",\r\n          \"text\": \"N/A\",\r\n          \"to\": \"null\"\r\n        }\r\n      ],\r\n      \"sparkline\": {\r\n        \"fillColor\": \"rgba(31, 118, 189, 0.18)\",\r\n        \"full\": true,\r\n        \"lineColor\": \"#bf1b00\",\r\n        \"show\": false\r\n      },\r\n      \"tableColumn\": \"\",\r\n      \"targets\": [\r\n        {\r\n          \"dsType\": \"influxdb\",\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"$__interval\"\r\n              ],\r\n              \"type\": \"time\"\r\n            },\r\n            {\r\n              \"params\": [\r\n                \"null\"\r\n              ],\r\n              \"type\": \"fill\"\r\n            }\r\n          ],\r\n          \"measurement\": \"/^$measurement_name$/\",\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"query\": \"SELECT sum(\\\"count\\\")  FROM \\\"$measurement_name\\\" WHERE (\\\"application\\\" =~ /^$application$/ AND \\\"transaction\\\" =~ /^$transaction$/ AND \\\"statut\\\" = 'ko') AND $timeFilter GROUP BY time($__interval) fill(null)\",\r\n          \"rawQuery\": false,\r\n          \"refId\": \"A\",\r\n          \"resultFormat\": \"time_series\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"count\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"sum\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": [\r\n            {\r\n              \"key\": \"application\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$application$/\"\r\n            },\r\n            {\r\n              \"condition\": \"AND\",\r\n              \"key\": \"transaction\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$transaction$/\"\r\n            },\r\n            {\r\n              \"condition\": \"AND\",\r\n              \"key\": \"statut\",\r\n              \"operator\": \"=\",\r\n              \"value\": \"ko\"\r\n            }\r\n          ]\r\n        }\r\n      ],\r\n      \"thresholds\": \"\",\r\n      \"title\": \"Failed Requests - $transaction\",\r\n      \"transparent\": true,\r\n      \"type\": \"singlestat\",\r\n      \"valueFontSize\": \"50%\",\r\n      \"valueMaps\": [\r\n        {\r\n          \"op\": \"=\",\r\n          \"text\": \"0\",\r\n          \"value\": \"null\"\r\n        }\r\n      ],\r\n      \"valueName\": \"total\"\r\n    },\r\n    {\r\n      \"aliasColors\": {\r\n        \"90th Percentage\": \"#f2c96d\",\r\n        \"90th Percentile\": \"#447ebc\",\r\n        \"95th Percentage\": \"#EF843C\",\r\n        \"99th Percentage\": \"#bf1b00\",\r\n        \"99th Percentile\": \"#614d93\",\r\n        \"Average\": \"#508642\",\r\n        \"Max\": \"#962d82\",\r\n        \"Median\": \"#6ed0e0\",\r\n        \"median\": \"#6ed0e0\"\r\n      },\r\n      \"bars\": false,\r\n      \"dashLength\": 10,\r\n      \"dashes\": false,\r\n      \"datasource\": \"$data_source\",\r\n      \"decimals\": 2,\r\n      \"editable\": true,\r\n      \"error\": false,\r\n      \"fill\": 0,\r\n      \"gridPos\": {\r\n        \"h\": 7,\r\n        \"w\": 24,\r\n        \"x\": 0,\r\n        \"y\": 44\r\n      },\r\n      \"height\": \"\",\r\n      \"id\": 5,\r\n      \"interval\": \"[[send_interval]]s\",\r\n      \"legend\": {\r\n        \"alignAsTable\": true,\r\n        \"avg\": true,\r\n        \"current\": true,\r\n        \"hideEmpty\": true,\r\n        \"max\": true,\r\n        \"min\": false,\r\n        \"rightSide\": true,\r\n        \"show\": true,\r\n        \"sortDesc\": true,\r\n        \"total\": false,\r\n        \"values\": true\r\n      },\r\n      \"lines\": true,\r\n      \"linewidth\": 2,\r\n      \"links\": [],\r\n      \"nullPointMode\": \"null\",\r\n      \"percentage\": false,\r\n      \"pointradius\": 1,\r\n      \"points\": false,\r\n      \"renderer\": \"flot\",\r\n      \"seriesOverrides\": [\r\n        {\r\n          \"alias\": \"Average\",\r\n          \"yaxis\": 1\r\n        }\r\n      ],\r\n      \"spaceLength\": 10,\r\n      \"stack\": false,\r\n      \"steppedLine\": false,\r\n      \"targets\": [\r\n        {\r\n          \"alias\": \"Median\",\r\n          \"dsType\": \"influxdb\",\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"$aggregation\"\r\n              ],\r\n              \"type\": \"time\"\r\n            },\r\n            {\r\n              \"params\": [\r\n                \"null\"\r\n              ],\r\n              \"type\": \"fill\"\r\n            }\r\n          ],\r\n          \"hide\": false,\r\n          \"measurement\": \"jmeter\",\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"query\": \"SELECT last(\\\"pct50.0\\\") FROM \\\"$measurement_name\\\" WHERE (\\\"transaction\\\" =~ /^$transaction$/ AND \\\"statut\\\" = 'ok') AND $timeFilter GROUP BY time($__interval)\",\r\n          \"rawQuery\": true,\r\n          \"refId\": \"F\",\r\n          \"resultFormat\": \"time_series\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"pct50.0\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"last\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": [\r\n            {\r\n              \"key\": \"transaction\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$request$/\"\r\n            },\r\n            {\r\n              \"condition\": \"AND\",\r\n              \"key\": \"statut\",\r\n              \"operator\": \"=\",\r\n              \"value\": \"all\"\r\n            }\r\n          ]\r\n        },\r\n        {\r\n          \"alias\": \"90th Percentile\",\r\n          \"dsType\": \"influxdb\",\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"$aggregation\"\r\n              ],\r\n              \"type\": \"time\"\r\n            },\r\n            {\r\n              \"params\": [\r\n                \"null\"\r\n              ],\r\n              \"type\": \"fill\"\r\n            }\r\n          ],\r\n          \"measurement\": \"jmeter\",\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"query\": \"SELECT last(\\\"pct90.0\\\") FROM \\\"$measurement_name\\\" WHERE (\\\"transaction\\\" =~ /^$transaction$/ AND \\\"statut\\\" = 'ok') AND $timeFilter GROUP BY time($__interval) fill(null)\",\r\n          \"rawQuery\": true,\r\n          \"refId\": \"B\",\r\n          \"resultFormat\": \"time_series\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"pct90.0\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"last\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": [\r\n            {\r\n              \"key\": \"transaction\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$request$/\"\r\n            },\r\n            {\r\n              \"condition\": \"AND\",\r\n              \"key\": \"statut\",\r\n              \"operator\": \"=\",\r\n              \"value\": \"all\"\r\n            }\r\n          ]\r\n        },\r\n        {\r\n          \"alias\": \"95th Percentile\",\r\n          \"dsType\": \"influxdb\",\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"$aggregation\"\r\n              ],\r\n              \"type\": \"time\"\r\n            },\r\n            {\r\n              \"params\": [\r\n                \"null\"\r\n              ],\r\n              \"type\": \"fill\"\r\n            }\r\n          ],\r\n          \"hide\": false,\r\n          \"measurement\": \"jmeter\",\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"query\": \"SELECT last(\\\"pct95.0\\\") FROM \\\"$measurement_name\\\" WHERE (\\\"transaction\\\" =~ /^$transaction$/ AND \\\"statut\\\" = 'ok') AND $timeFilter GROUP BY time($__interval) fill(null)\",\r\n          \"rawQuery\": true,\r\n          \"refId\": \"C\",\r\n          \"resultFormat\": \"time_series\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"pct95.0\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"last\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": [\r\n            {\r\n              \"key\": \"transaction\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$request$/\"\r\n            }\r\n          ]\r\n        },\r\n        {\r\n          \"alias\": \"99th Percentile\",\r\n          \"dsType\": \"influxdb\",\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"$aggregation\"\r\n              ],\r\n              \"type\": \"time\"\r\n            },\r\n            {\r\n              \"params\": [\r\n                \"null\"\r\n              ],\r\n              \"type\": \"fill\"\r\n            }\r\n          ],\r\n          \"hide\": false,\r\n          \"measurement\": \"jmeter\",\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"query\": \"SELECT last(\\\"pct99.0\\\") FROM \\\"$measurement_name\\\" WHERE (\\\"transaction\\\" =~ /^$transaction$/ AND \\\"statut\\\" = 'ok') AND $timeFilter GROUP BY time($__interval) fill(null)\",\r\n          \"rawQuery\": true,\r\n          \"refId\": \"D\",\r\n          \"resultFormat\": \"time_series\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"pct99.0\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"last\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": [\r\n            {\r\n              \"key\": \"transaction\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$request$/\"\r\n            }\r\n          ]\r\n        },\r\n        {\r\n          \"alias\": \"Max\",\r\n          \"dsType\": \"influxdb\",\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"$aggregation\"\r\n              ],\r\n              \"type\": \"time\"\r\n            },\r\n            {\r\n              \"params\": [\r\n                \"null\"\r\n              ],\r\n              \"type\": \"fill\"\r\n            }\r\n          ],\r\n          \"measurement\": \"jmeter\",\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"query\": \"SELECT last(\\\"max\\\") FROM \\\"$measurement_name\\\" WHERE (\\\"transaction\\\" =~ /^$transaction$/ AND \\\"statut\\\" = 'ok') AND $timeFilter GROUP BY time($__interval) fill(null)\",\r\n          \"rawQuery\": true,\r\n          \"refId\": \"E\",\r\n          \"resultFormat\": \"time_series\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"max\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"last\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": [\r\n            {\r\n              \"key\": \"transaction\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$request$/\"\r\n            },\r\n            {\r\n              \"condition\": \"AND\",\r\n              \"key\": \"statut\",\r\n              \"operator\": \"=\",\r\n              \"value\": \"ok\"\r\n            }\r\n          ]\r\n        },\r\n        {\r\n          \"alias\": \"Average\",\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"$__interval\"\r\n              ],\r\n              \"type\": \"time\"\r\n            },\r\n            {\r\n              \"params\": [\r\n                \"null\"\r\n              ],\r\n              \"type\": \"fill\"\r\n            }\r\n          ],\r\n          \"measurement\": \"/^$measurement_name$/\",\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"refId\": \"A\",\r\n          \"resultFormat\": \"time_series\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"avg\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"last\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": [\r\n            {\r\n              \"key\": \"application\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$application$/\"\r\n            },\r\n            {\r\n              \"condition\": \"AND\",\r\n              \"key\": \"transaction\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$transaction$/\"\r\n            },\r\n            {\r\n              \"condition\": \"AND\",\r\n              \"key\": \"statut\",\r\n              \"operator\": \"=\",\r\n              \"value\": \"ok\"\r\n            }\r\n          ]\r\n        }\r\n      ],\r\n      \"thresholds\": [],\r\n      \"timeFrom\": null,\r\n      \"timeShift\": null,\r\n      \"title\": \"Response Times - $transaction\",\r\n      \"tooltip\": {\r\n        \"msResolution\": false,\r\n        \"shared\": true,\r\n        \"sort\": 0,\r\n        \"value_type\": \"individual\"\r\n      },\r\n      \"type\": \"graph\",\r\n      \"xaxis\": {\r\n        \"buckets\": null,\r\n        \"mode\": \"time\",\r\n        \"name\": null,\r\n        \"show\": true,\r\n        \"values\": []\r\n      },\r\n      \"yaxes\": [\r\n        {\r\n          \"format\": \"ms\",\r\n          \"label\": null,\r\n          \"logBase\": 1,\r\n          \"max\": null,\r\n          \"min\": null,\r\n          \"show\": true\r\n        },\r\n        {\r\n          \"format\": \"short\",\r\n          \"label\": null,\r\n          \"logBase\": 1,\r\n          \"max\": null,\r\n          \"min\": null,\r\n          \"show\": false\r\n        }\r\n      ],\r\n      \"yaxis\": {\r\n        \"align\": false,\r\n        \"alignLevel\": null\r\n      }\r\n    },\r\n    {\r\n      \"aliasColors\": {\r\n        \"90th Percentage\": \"#EAB839\",\r\n        \"95th Percentage\": \"#EF843C\",\r\n        \"99th Percentage\": \"#99440A\",\r\n        \"Average\": \"#3F6833\",\r\n        \"Max\": \"#58140C\",\r\n        \"Req / s\": \"#6ed0e0\"\r\n      },\r\n      \"bars\": false,\r\n      \"dashLength\": 10,\r\n      \"dashes\": false,\r\n      \"datasource\": \"$data_source\",\r\n      \"decimals\": 2,\r\n      \"editable\": true,\r\n      \"error\": false,\r\n      \"fill\": 7,\r\n      \"gridPos\": {\r\n        \"h\": 6,\r\n        \"w\": 12,\r\n        \"x\": 0,\r\n        \"y\": 51\r\n      },\r\n      \"height\": \"\",\r\n      \"id\": 10,\r\n      \"interval\": \"[[send_interval]]s\",\r\n      \"legend\": {\r\n        \"alignAsTable\": true,\r\n        \"avg\": true,\r\n        \"current\": false,\r\n        \"max\": true,\r\n        \"min\": true,\r\n        \"rightSide\": false,\r\n        \"show\": true,\r\n        \"total\": false,\r\n        \"values\": true\r\n      },\r\n      \"lines\": true,\r\n      \"linewidth\": 1,\r\n      \"links\": [],\r\n      \"nullPointMode\": \"null\",\r\n      \"percentage\": false,\r\n      \"pointradius\": 1,\r\n      \"points\": false,\r\n      \"renderer\": \"flot\",\r\n      \"seriesOverrides\": [\r\n        {\r\n          \"alias\": \"Average\",\r\n          \"yaxis\": 1\r\n        }\r\n      ],\r\n      \"spaceLength\": 10,\r\n      \"stack\": false,\r\n      \"steppedLine\": false,\r\n      \"targets\": [\r\n        {\r\n          \"alias\": \"Req / s\",\r\n          \"dsType\": \"influxdb\",\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"$__interval\"\r\n              ],\r\n              \"type\": \"time\"\r\n            }\r\n          ],\r\n          \"measurement\": \"jmeter\",\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"query\": \"SELECT last(\\\"count\\\") / $send_interval FROM \\\"$measurement_name\\\" WHERE (\\\"transaction\\\" =~ /^$transaction$/ AND \\\"statut\\\" = 'ok') AND $timeFilter GROUP BY time($__interval)\",\r\n          \"rawQuery\": true,\r\n          \"refId\": \"B\",\r\n          \"resultFormat\": \"time_series\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"count\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"sum\"\r\n              },\r\n              {\r\n                \"params\": [\r\n                  \"5s\"\r\n                ],\r\n                \"type\": \"non_negative_derivative\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": [\r\n            {\r\n              \"key\": \"transaction\",\r\n              \"operator\": \"=~\",\r\n              \"value\": \"/^$transaction$/\"\r\n            },\r\n            {\r\n              \"condition\": \"AND\",\r\n              \"key\": \"statut\",\r\n              \"operator\": \"=\",\r\n              \"value\": \"ok\"\r\n            }\r\n          ]\r\n        }\r\n      ],\r\n      \"thresholds\": [],\r\n      \"timeFrom\": null,\r\n      \"timeShift\": null,\r\n      \"title\": \"Transactions per second - $transaction\",\r\n      \"tooltip\": {\r\n        \"msResolution\": false,\r\n        \"shared\": true,\r\n        \"sort\": 0,\r\n        \"value_type\": \"individual\"\r\n      },\r\n      \"type\": \"graph\",\r\n      \"xaxis\": {\r\n        \"buckets\": null,\r\n        \"mode\": \"time\",\r\n        \"name\": null,\r\n        \"show\": true,\r\n        \"values\": []\r\n      },\r\n      \"yaxes\": [\r\n        {\r\n          \"format\": \"short\",\r\n          \"label\": null,\r\n          \"logBase\": 1,\r\n          \"max\": null,\r\n          \"min\": null,\r\n          \"show\": true\r\n        },\r\n        {\r\n          \"format\": \"short\",\r\n          \"label\": null,\r\n          \"logBase\": 1,\r\n          \"max\": null,\r\n          \"min\": null,\r\n          \"show\": false\r\n        }\r\n      ],\r\n      \"yaxis\": {\r\n        \"align\": false,\r\n        \"alignLevel\": null\r\n      }\r\n    },\r\n    {\r\n      \"aliasColors\": {\r\n        \"Errors/sec\": \"#bf1b00\",\r\n        \"Num of Errors\": \"#bf1b00\",\r\n        \"jmeter.last\": \"#bf1b00\",\r\n        \"num of errors\": \"#bf1b00\"\r\n      },\r\n      \"bars\": false,\r\n      \"dashLength\": 10,\r\n      \"dashes\": false,\r\n      \"datasource\": \"$data_source\",\r\n      \"decimals\": 0,\r\n      \"fill\": 1,\r\n      \"gridPos\": {\r\n        \"h\": 6,\r\n        \"w\": 12,\r\n        \"x\": 12,\r\n        \"y\": 51\r\n      },\r\n      \"id\": 49,\r\n      \"interval\": \"[[send_interval]]s\",\r\n      \"legend\": {\r\n        \"alignAsTable\": true,\r\n        \"avg\": true,\r\n        \"current\": true,\r\n        \"max\": false,\r\n        \"min\": false,\r\n        \"rightSide\": false,\r\n        \"show\": true,\r\n        \"total\": true,\r\n        \"values\": true\r\n      },\r\n      \"lines\": true,\r\n      \"linewidth\": 1,\r\n      \"links\": [],\r\n      \"nullPointMode\": \"null\",\r\n      \"percentage\": false,\r\n      \"pointradius\": 1,\r\n      \"points\": false,\r\n      \"renderer\": \"flot\",\r\n      \"seriesOverrides\": [],\r\n      \"spaceLength\": 10,\r\n      \"stack\": false,\r\n      \"steppedLine\": false,\r\n      \"targets\": [\r\n        {\r\n          \"groupBy\": [\r\n            {\r\n              \"params\": [\r\n                \"$__interval\"\r\n              ],\r\n              \"type\": \"time\"\r\n            },\r\n            {\r\n              \"params\": [\r\n                \"null\"\r\n              ],\r\n              \"type\": \"fill\"\r\n            }\r\n          ],\r\n          \"orderByTime\": \"ASC\",\r\n          \"policy\": \"default\",\r\n          \"query\": \"SELECT last(\\\"count\\\") / $send_interval FROM \\\"$measurement_name\\\" WHERE (\\\"transaction\\\" =~ /^$transaction$/ AND \\\"statut\\\" = 'ko') AND $timeFilter GROUP BY time($__interval)\",\r\n          \"rawQuery\": true,\r\n          \"refId\": \"A\",\r\n          \"resultFormat\": \"time_series\",\r\n          \"select\": [\r\n            [\r\n              {\r\n                \"params\": [\r\n                  \"value\"\r\n                ],\r\n                \"type\": \"field\"\r\n              },\r\n              {\r\n                \"params\": [],\r\n                \"type\": \"mean\"\r\n              }\r\n            ]\r\n          ],\r\n          \"tags\": []\r\n        }\r\n      ],\r\n      \"thresholds\": [],\r\n      \"timeFrom\": null,\r\n      \"timeShift\": null,\r\n      \"title\": \"Errors - $transaction\",\r\n      \"tooltip\": {\r\n        \"shared\": true,\r\n        \"sort\": 0,\r\n        \"value_type\": \"individual\"\r\n      },\r\n      \"type\": \"graph\",\r\n      \"xaxis\": {\r\n        \"buckets\": 1,\r\n        \"mode\": \"time\",\r\n        \"name\": null,\r\n        \"show\": true,\r\n        \"values\": []\r\n      },\r\n      \"yaxes\": [\r\n        {\r\n          \"decimals\": 0,\r\n          \"format\": \"short\",\r\n          \"label\": null,\r\n          \"logBase\": 1,\r\n          \"max\": null,\r\n          \"min\": null,\r\n          \"show\": true\r\n        },\r\n        {\r\n          \"format\": \"short\",\r\n          \"label\": null,\r\n          \"logBase\": 1,\r\n          \"max\": null,\r\n          \"min\": null,\r\n          \"show\": true\r\n        }\r\n      ],\r\n      \"yaxis\": {\r\n        \"align\": false,\r\n        \"alignLevel\": null\r\n      }\r\n    }\r\n  ],\r\n  \"refresh\": false,\r\n  \"schemaVersion\": 16,\r\n  \"style\": \"dark\",\r\n  \"tags\": [],\r\n  \"templating\": {\r\n    \"list\": [\r\n      {\r\n        \"current\": {\r\n          \"selected\": true,\r\n          \"text\": \"TIAA\",\r\n          \"value\": \"TIAA\"\r\n        },\r\n        \"hide\": 0,\r\n        \"label\": \"Data Source\",\r\n        \"name\": \"data_source\",\r\n        \"options\": [],\r\n        \"query\": \"influxdb\",\r\n        \"refresh\": 1,\r\n        \"regex\": \"\",\r\n        \"type\": \"datasource\"\r\n      },\r\n      {\r\n        \"current\": {\r\n          \"value\": \"${VAR_MEASUREMENT_NAME}\",\r\n          \"text\": \"${VAR_MEASUREMENT_NAME}\"\r\n        },\r\n        \"hide\": 2,\r\n        \"label\": \"Measurement name\",\r\n        \"name\": \"measurement_name\",\r\n        \"options\": [\r\n          {\r\n            \"value\": \"${VAR_MEASUREMENT_NAME}\",\r\n            \"text\": \"${VAR_MEASUREMENT_NAME}\"\r\n          }\r\n        ],\r\n        \"query\": \"${VAR_MEASUREMENT_NAME}\",\r\n        \"type\": \"constant\"\r\n      },\r\n      {\r\n        \"allValue\": null,\r\n        \"current\": {},\r\n        \"datasource\": \"$data_source\",\r\n        \"hide\": 0,\r\n        \"includeAll\": false,\r\n        \"label\": \"Application Tested\",\r\n        \"multi\": false,\r\n        \"name\": \"application\",\r\n        \"options\": [],\r\n        \"query\": \"SHOW TAG VALUES FROM \\\"$measurement_name\\\" WITH KEY = \\\"application\\\"\",\r\n        \"refresh\": 1,\r\n        \"regex\": \"\",\r\n        \"sort\": 0,\r\n        \"tagValuesQuery\": null,\r\n        \"tags\": [],\r\n        \"tagsQuery\": null,\r\n        \"type\": \"query\",\r\n        \"useTags\": false\r\n      },\r\n      {\r\n        \"allValue\": null,\r\n        \"current\": {},\r\n        \"datasource\": \"$data_source\",\r\n        \"hide\": 0,\r\n        \"includeAll\": false,\r\n        \"label\": \"Transaction to be shown in transaction level metrics panel\",\r\n        \"multi\": true,\r\n        \"name\": \"transaction\",\r\n        \"options\": [],\r\n        \"query\": \"SHOW TAG VALUES FROM \\\"$measurement_name\\\" WITH KEY = \\\"transaction\\\" WHERE \\\"application\\\" =~ /^$application$/ AND \\\"transaction\\\" != 'internal' AND \\\"transaction\\\" != 'all'\",\r\n        \"refresh\": 1,\r\n        \"regex\": \"\",\r\n        \"sort\": 0,\r\n        \"tagValuesQuery\": null,\r\n        \"tags\": [],\r\n        \"tagsQuery\": null,\r\n        \"type\": \"query\",\r\n        \"useTags\": false\r\n      },\r\n      {\r\n        \"current\": {\r\n          \"value\": \"${VAR_SEND_INTERVAL}\",\r\n          \"text\": \"${VAR_SEND_INTERVAL}\"\r\n        },\r\n        \"hide\": 2,\r\n        \"label\": \"Backend send interval in second\",\r\n        \"name\": \"send_interval\",\r\n        \"options\": [\r\n          {\r\n            \"value\": \"${VAR_SEND_INTERVAL}\",\r\n            \"text\": \"${VAR_SEND_INTERVAL}\"\r\n          }\r\n        ],\r\n        \"query\": \"${VAR_SEND_INTERVAL}\",\r\n        \"type\": \"constant\"\r\n      }\r\n    ]\r\n  },\r\n  \"time\": {\r\n    \"from\": \"2018-09-05T07:53:00.000Z\",\r\n    \"to\": 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Containers may need 0.0.0.0 . \nprometheus.ip=0.0.0.0\n#The delay (in seconds) the http server will wait before being destroyed\nprometheus.delay=0\t\n#True or false value to save and collect jmeter thread metrics\nprometheus.save.threads=true\t\n#The name of the metric describing jmeter threads\nprometheus.save.threads.name=jmeter_threads          \t\n#Collect metrics from the JVM\nprometheus.save.jvm=true\n\nNote : little data discrepancy you can find ..working on that\n\nEmail : vinaykr253@gmail.com\n\n\n\n \n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-26T13:02:27.000Z","updatedAt":"2021-08-26T13:26:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14927"},{"rel":"revisions","href":"/dashboards/14927/revisions"},{"rel":"revision","href":"/dashboards/14927/revisions/1"},{"rel":"download","href":"/dashboards/14927/revisions/1/download"},{"rel":"org","href":"/orgs/vinnu"},{"rel":"images","href":"/dashboards/14927/images"},{"rel":"thumbnails","href":"/dashboards/14927/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10933,"status":1,"statusCode":"active","orgId":294833,"orgSlug":"fakrudeen","orgName":"fakrudeen","slug":"historic-data","downloads":925,"revisionId":15275,"revision":1,"name":"JMeter-Dashboard-HistoricData","description":"Displays load test data on-the-fly. 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For more information refer : https://sfakrudeen78.github.io/JMeter-InfluxDB-Writer/\nUse this dashboard along with https://grafana.com/grafana/dashboards/10931 and https://grafana.com/grafana/dashboards/10932 dashboard.\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-09-30T13:06:29.000Z","updatedAt":"2019-09-30T13:11:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10933"},{"rel":"revisions","href":"/dashboards/10933/revisions"},{"rel":"revision","href":"/dashboards/10933/revisions/1"},{"rel":"download","href":"/dashboards/10933/revisions/1/download"},{"rel":"org","href":"/orgs/fakrudeen"},{"rel":"images","href":"/dashboards/10933/images"},{"rel":"thumbnails","href":"/dashboards/10933/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21818,"status":1,"statusCode":"active","orgId":1209065,"orgSlug":"promokk","orgName":"promokk","slug":"jmeter-dashboard-influxdb","downloads":447,"revisionId":37673,"revision":4,"name":"jmeter-dashboard-influxdb","description":"Dashboard for Jmeter using Backend listener and InfluxDB.","readme":"Dashboard for Jmeter using Backend listener and InfluxDB.  \r\nDetailed information on [GitHub](https://github.com/promokk/jmeter-dashboard-influxdb).\r\n\r\nA similar dashboard for VictoriaMetrics is [jmeter-dashboard-victoriametrics](https://grafana.com/grafana/dashboards/23746-jmeter-dashboard-victoriametrics/).\r\n\r\n**The dashboard contains:**\r\n* _Run Test_ - status of running / completed tests\r\n* _Summary_ - basic information for analysis\r\n* _RPS / Response Times_ - successful and unsuccessful requests, response times\r\n* _Error_ - error information\r\n* _Transaction Table_ - request / transaction statistics\r\n* _Network Traffic_ - bytes received / bytes sent\r\n\r\n**Before running the test for the first time, you need to change the Backend Listener:**\r\n* Backend Listener implementation = InfluxdbBackendListenerClient\r\n* application = ${__TestPlanName} --> name jmx-file\r\n* testTitle = ${__P(testTitle)} --> test title (property is passed at startup)\r\n* eventTags = ${__time()} --> unique RunID\r\n* influxdbToken = {influxdbToken} --> influxdb API Token","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-09-02T19:50:50.000Z","updatedAt":"2025-07-19T11:06:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21818"},{"rel":"revisions","href":"/dashboards/21818/revisions"},{"rel":"revision","href":"/dashboards/21818/revisions/4"},{"rel":"download","href":"/dashboards/21818/revisions/4/download"},{"rel":"org","href":"/orgs/promokk"},{"rel":"images","href":"/dashboards/21818/images"},{"rel":"thumbnails","href":"/dashboards/21818/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10931,"status":1,"statusCode":"active","orgId":294833,"orgSlug":"fakrudeen","orgName":"fakrudeen","slug":"main-dashboard","downloads":715,"revisionId":15273,"revision":1,"name":"JMeter-Dashboard-Main","description":"Displays load test data on-the-fly. 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[prometheus/jmx_exporter](https://github.com/prometheus/jmx_exporter).\r\n\r\nRequirements:\r\n* The agent JMX variables `lowercaseOutputName` and `lowercaseOutputLabelNames` must be set to `false` or undefined. \r\n\r\nSample Prometheus configuration:\r\n```yaml\r\nglobal:\r\n  scrape_interval:     15s\r\n  evaluation_interval: 15s\r\n\r\nscrape_configs:\r\n# Задание сбора данных самой службы\r\n- job_name: 'prometheus'\r\n  static_configs:\r\n  - targets: ['localhost:9090']\r\n\r\n# Задание для сбора метрик Java приложений\r\n- job_name: 'jmx'\r\n  metrics_path: /\r\n  scheme: http\r\n  static_configs:\r\n  # Targets for multi-nodes apps\r\n  - targets: ['srv-apps-001.domain.loc:19000']\r\n    labels:\r\n      instance: 'multi-node.domain.com[node-01.domain.loc]'\r\n  - targets: ['srv-apps-002.domain.loc:19000']\r\n    labels:\r\n      instance: 'multi-node.domain.com[node-02.domain.loc]'\r\n  # Target for apps witch one node:\r\n  - targets: ['srv-apps-003.domain.loc:19000', 'srv-apps-004.domain.loc:19000']\r\n  - targets: ['srv-apps-005.domain.loc:19000']\r\n    labels:\r\n      instance: 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Prometheus / OpenTelemetry instrumentation","readme":"Dashboard for JVM metrics exposed by OpenTelemetry: CPU, memory, threads, garbage collector, classes.\r\n\r\n2024-02 update: compatible with OTEL Instrumentation 2.x + add Kubernetes pod 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release > pod","readme":"Add the https://github.com/prometheus/jmx_exporter to your project\r\nScrape with prometheus\r\nI use helm to deploy apps, so \"Release\" is the same as a deployment in kubernetes terms.\r\nShould be pretty easy to convert the dashboard to your setup.\r\n\r\nTested with jmx_prometheus_javaagent-0.3.1.jar","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-08-30T05:38:00.000Z","updatedAt":"2019-11-29T15:05:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/7727"},{"rel":"revisions","href":"/dashboards/7727/revisions"},{"rel":"revision","href":"/dashboards/7727/revisions/1"},{"rel":"download","href":"/dashboards/7727/revisions/1/download"},{"rel":"org","href":"/orgs/valferon"},{"rel":"images","href":"/dashboards/7727/images"},{"rel":"thumbnails","href":"/dashboards/7727/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16117,"status":1,"statusCode":"active","orgId":193429,"orgSlug":"aerospike","orgName":"Aerospike","slug":"jobs-view","downloads":442,"revisionId":29779,"revision":3,"name":"Jobs View","description":"Jobs View dashboard helps visualise job centric metrics like job, 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details","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-04-17T09:51:56.000Z","updatedAt":"2023-08-28T14:51:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16117"},{"rel":"revisions","href":"/dashboards/16117/revisions"},{"rel":"revision","href":"/dashboards/16117/revisions/3"},{"rel":"download","href":"/dashboards/16117/revisions/3/download"},{"rel":"org","href":"/orgs/aerospike"},{"rel":"images","href":"/dashboards/16117/images"},{"rel":"thumbnails","href":"/dashboards/16117/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23412,"status":1,"statusCode":"active","orgId":621708,"orgSlug":"josejaldo","orgName":"josejaldo","slug":"jvm-micrometer","downloads":243,"revisionId":37174,"revision":1,"name":"Jose testing something","description":"Testing dashboard publishing 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file you request. I calculate and report:   \r\n- Time taken to download the file (seconds)\r\n- Download speed (MB/s)\r\n- Time taken to save the file (seconds)\r\n- Save speed (MB/s)\r\n- Time taken to delete the file (seconds)\r\n- Delete speed (MB/s)\r\n\r\n\r\n## Create Helm Chart\r\nhelm package ./helm-chart/jougan --destination ./helm-chart/\r\nhelm repo index . --url https://mrnim94.github.io/jougan","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-21T07:59:28.000Z","updatedAt":"2024-09-13T08:42:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20013"},{"rel":"revisions","href":"/dashboards/20013/revisions"},{"rel":"revision","href":"/dashboards/20013/revisions/2"},{"rel":"download","href":"/dashboards/20013/revisions/2/download"},{"rel":"org","href":"/orgs/dcnim94"},{"rel":"images","href":"/dashboards/20013/images"},{"rel":"thumbnails","href":"/dashboards/20013/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16212,"status":1,"statusCode":"active","orgId":400661,"orgSlug":"xuwanyan","orgName":"xuwanyan","slug":"jstziyuan","downloads":402,"revisionId":24622,"revision":1,"name":"jstziyuan","description":"聚石塔资源面板","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"aliyun_cms_grafana_datasource","privacy":"public","createdAt":"2022-05-05T10:30:56.000Z","updatedAt":"2022-05-05T10:31:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16212"},{"rel":"revisions","href":"/dashboards/16212/revisions"},{"rel":"revision","href":"/dashboards/16212/revisions/1"},{"rel":"download","href":"/dashboards/16212/revisions/1/download"},{"rel":"org","href":"/orgs/xuwanyan"},{"rel":"images","href":"/dashboards/16212/images"},{"rel":"thumbnails","href":"/dashboards/16212/thumbnails"}],"datasourceSlugs":["aliyun_cms_grafana_datasource"]},{"id":20794,"status":1,"statusCode":"active","orgId":1079172,"orgSlug":"juicefs","orgName":"Juicedata, Inc","slug":"juicefs-dashboard","downloads":969,"revisionId":36907,"revision":9,"name":"JuiceFS Dashboard","description":"","readme":"## Introduction\r\n\r\nJuiceFS is an open-source, high-performance distributed file system designed for the cloud, released under the Apache License 2.0. By providing full POSIX compatibility, it allows almost all kinds of object storage to be used as massive local disks and to be mounted and accessed on different hosts across platforms and regions. Read more [here](https://juicefs.com/docs/community/introduction/).\r\n\r\n## Prometheus Configuration\r\n\r\n```yaml\r\nscrape_configs:\r\n  - job_name: \"prometheus\"\r\n    static_configs:\r\n      - targets: [\"localhost:9090\"]\r\n\r\n  - job_name: \"juicefs\"\r\n    static_configs:\r\n      - targets: [\"localhost:9567\"]\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2024-03-28T06:52:20.000Z","updatedAt":"2025-04-18T06:30:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20794"},{"rel":"revisions","href":"/dashboards/20794/revisions"},{"rel":"revision","href":"/dashboards/20794/revisions/9"},{"rel":"download","href":"/dashboards/20794/revisions/9/download"},{"rel":"org","href":"/orgs/juicefs"},{"rel":"images","href":"/dashboards/20794/images"},{"rel":"thumbnails","href":"/dashboards/20794/thumbnails"}]},{"id":23625,"status":1,"statusCode":"active","orgId":330343,"orgSlug":"error5","orgName":"error5","slug":"junos-12-3-snmp-prometheus","downloads":352,"revisionId":37616,"revision":2,"name":"Junos 12.3+ SNMP Prometheus","description":"Juniper networks hardware metrics scrape with Prometheus SNMP exporter. Device overview including alarms and interface state with speed and in/out bandwidth trends. Tested with SRX equipment.","readme":"More detail here : [https://www.paulerrington.co.uk/blog/2025/06/29/srx-snmp-prometheus.html](https://www.paulerrington.co.uk/blog/2025/06/29/srx-snmp-prometheus.html)\r\n\r\nHOWTO:\r\n\r\n1. Install prometheus-snmp-exporter (tested working on 0.19.0). \r\n\r\n2. Download the MIBS from juniper networks to /usr/share/snmp/mibs. \r\n\r\n3. Setup a generate.yml. \r\n\r\n```\r\nmodules:\r\n  srx220h2:\r\n    version: 2\r\n    auth:\r\n      community: \"homelab\"     # or your SNMPv2c community\r\n    walk:\r\n      - sysUpTime\r\n      - jnxRedAlarmState\r\n      - jnxYellowAlarmState\r\n      - ifTable\r\n      - ifXTable\r\n      - jnxOperatingTable               # chassis temps, CPU, memory\r\n      - jnxJsSPUMonitoringObjectsTable  # SRX session & SPU stats\r\n    lookups:\r\n      - source_indexes: [ifIndex]\r\n        lookup: ifDescr\r\n      - source_indexes: [ifIndex]\r\n        lookup: ifAlias\r\n```\r\n\r\n4. Run the '/usr/bin/prometheus-snmp-generator generate' to output working snmp.yml\r\n\r\n5. start the prometheus-snmp-exporter.\r\n\r\n6. Setup your Prometheus config with the job :\r\n\r\nprometheus.yml\r\n\r\n```\r\n  - job_name: 'junos_switches'\r\n    scrape_interval: 60s\r\n    scrape_timeout: 30s  # slightly longer than SNMP exporter timeout\r\n    metrics_path: /snmp\r\n    params:\r\n      module:\r\n        - srx220h2\r\n    file_sd_configs:\r\n      - files:\r\n          - 'file_sd/junos_targets.yml'\r\n    relabel_configs:\r\n      - source_labels: [__address__]\r\n        target_label: __param_target\r\n      - source_labels: [__param_target]\r\n        target_label: instance\r\n      - target_label: __address__\r\n        replacement: 127.0.0.1:9116\r\n```\r\n\r\n7. Setup your instances file :\r\n\r\nfile_sd/junos_targets.yml\r\n\r\n```\r\n- targets:\r\n    - '192.168.1.1'\r\n  labels:\r\n    site: 'DC1'\r\n    model: 'SRX220H2'\r\n    vendor: 'juniper'\r\n```\r\n8. Reload Prometheus and you should see metrics collecting for the target.","collectorType":"Other","collectorConfig":"SNMP exporter. See README.","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-06-30T10:04:37.000Z","updatedAt":"2025-07-02T13:47:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23625"},{"rel":"revisions","href":"/dashboards/23625/revisions"},{"rel":"revision","href":"/dashboards/23625/revisions/2"},{"rel":"download","href":"/dashboards/23625/revisions/2/download"},{"rel":"org","href":"/orgs/error5"},{"rel":"images","href":"/dashboards/23625/images"},{"rel":"thumbnails","href":"/dashboards/23625/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5849,"status":1,"statusCode":"active","orgId":143866,"orgSlug":"idr","orgName":"idr","slug":"jupyterhub","downloads":2104,"revisionId":7949,"revision":1,"name":"JupyterHub","description":"IDR JupyterHub","readme":"Dashboard used to displayed resource usage on IDR JupyterHub https://idr-analysis.openmicroscopy.org/","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-04-28T00:14:39.000Z","updatedAt":"2018-04-28T00:17:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5849"},{"rel":"revisions","href":"/dashboards/5849/revisions"},{"rel":"revision","href":"/dashboards/5849/revisions/1"},{"rel":"download","href":"/dashboards/5849/revisions/1/download"},{"rel":"org","href":"/orgs/idr"},{"rel":"images","href":"/dashboards/5849/images"},{"rel":"thumbnails","href":"/dashboards/5849/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5839,"status":1,"statusCode":"active","orgId":143530,"orgSlug":"manics","orgName":"manics","slug":"jupyterhub","downloads":745,"revisionId":8186,"revision":3,"name":"JupyterHub","description":"IDR JupyterHub","readme":"Display some metrics for IDR JupyterHub servers running on Kubernetes.\r\nThis currently uses hard-coded namespaces specific to the IDR deployment","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-04-26T22:26:00.000Z","updatedAt":"2018-05-08T20:38:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5839"},{"rel":"revisions","href":"/dashboards/5839/revisions"},{"rel":"revision","href":"/dashboards/5839/revisions/3"},{"rel":"download","href":"/dashboards/5839/revisions/3/download"},{"rel":"org","href":"/orgs/manics"},{"rel":"images","href":"/dashboards/5839/images"},{"rel":"thumbnails","href":"/dashboards/5839/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17112,"status":1,"statusCode":"active","orgId":576813,"orgSlug":"andres0sorio","orgName":"andres0sorio","slug":"jupyterhub","downloads":308,"revisionId":26253,"revision":1,"name":"JupyterHub","description":"IDR JupyterHub","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-10-03T03:52:48.000Z","updatedAt":"2022-10-03T03:54:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17112"},{"rel":"revisions","href":"/dashboards/17112/revisions"},{"rel":"revision","href":"/dashboards/17112/revisions/1"},{"rel":"download","href":"/dashboards/17112/revisions/1/download"},{"rel":"org","href":"/orgs/andres0sorio"},{"rel":"images","href":"/dashboards/17112/images"},{"rel":"thumbnails","href":"/dashboards/17112/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17903,"status":1,"statusCode":"active","orgId":778967,"orgSlug":"simranjaan","orgName":"simranjaan","slug":"jupyterhub","downloads":351,"revisionId":27447,"revision":1,"name":"JupyterHub","description":"IDR JupyterHub","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-01-18T14:03:13.000Z","updatedAt":"2023-01-18T14:03:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17903"},{"rel":"revisions","href":"/dashboards/17903/revisions"},{"rel":"revision","href":"/dashboards/17903/revisions/1"},{"rel":"download","href":"/dashboards/17903/revisions/1/download"},{"rel":"org","href":"/orgs/simranjaan"},{"rel":"images","href":"/dashboards/17903/images"},{"rel":"thumbnails","href":"/dashboards/17903/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16096,"status":1,"statusCode":"active","orgId":607765,"orgSlug":"behoof4mind","orgName":"behoof4mind","slug":"jupyterhub-logs","downloads":466,"revisionId":24419,"revision":1,"name":"Jupyterhub Logs","description":"Loki logs panel for Jupyterhub","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2022-04-11T16:43:09.000Z","updatedAt":"2022-04-11T16:49:19.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16096"},{"rel":"revisions","href":"/dashboards/16096/revisions"},{"rel":"revision","href":"/dashboards/16096/revisions/1"},{"rel":"download","href":"/dashboards/16096/revisions/1/download"},{"rel":"org","href":"/orgs/behoof4mind"},{"rel":"images","href":"/dashboards/16096/images"},{"rel":"thumbnails","href":"/dashboards/16096/thumbnails"}],"datasourceSlugs":["loki"]},{"id":23694,"status":1,"statusCode":"active","orgId":1030462,"orgSlug":"mahendrapaipuri","orgName":"mahendrapaipuri","slug":"jupyterhub-stats","downloads":692,"revisionId":37705,"revision":1,"name":"JupyterHub Stats","description":"Monitor JupyterHub and Single User Servers","readme":"Dashboard to show the Prometheus metrics exported by JupyterHub instances for both Hub and single user servers. \r\n\r\nThe following config must be included in the JupyterHub config to enable metrics endpoint:\r\n\r\n```\r\n# Create a service to scrape prometheus metrics\r\nc.JupyterHub.services = [\r\n    {\r\n        \"name\": \"service-prometheus\",\r\n        \"api_token\": <api_token>,\r\n    },\r\n]\r\n\r\n# Add a service role to scrape prometheus metrics\r\nc.JupyterHub.load_roles += [\r\n    {\r\n        \"name\": \"service-metrics-role\",\r\n        \"description\": \"access metrics\",\r\n        \"scopes\": [\r\n            \"read:metrics\",\r\n        ],\r\n        \"services\": [\r\n            \"service-prometheus\",\r\n        ],\r\n    }\r\n]\r\n```\r\n\r\nFor the Prometheus server, a typical scrape config will look like:\r\n\r\n```\r\nscrape_configs:\r\n  - authorization: \r\n      credentials: <api_token>  # API token registered with hub that allows to access metrics endpoint\r\n    job_name: jupyterhub\r\n    metrics_path: /metrics\r\n    scheme: https  # http if there is no internal TLS\r\n    static_configs:\r\n    - targets:\r\n      - <hub_ip>:<hub_port>\r\n   # If using internal TLS\r\n    tls_config:\r\n      ca_file: /path/to/internal-ssl/hub-ca/hub-ca.crt\r\n      cert_file: /path/to/hub-internal.crt\r\n      insecure_skip_verify: true\r\n      key_file: /path/to/hub-internal.key\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-07-11T09:37:15.000Z","updatedAt":"2025-07-11T10:13:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23694"},{"rel":"revisions","href":"/dashboards/23694/revisions"},{"rel":"revision","href":"/dashboards/23694/revisions/1"},{"rel":"download","href":"/dashboards/23694/revisions/1/download"},{"rel":"org","href":"/orgs/mahendrapaipuri"},{"rel":"images","href":"/dashboards/23694/images"},{"rel":"thumbnails","href":"/dashboards/23694/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22703,"status":1,"statusCode":"active","orgId":621708,"orgSlug":"josejaldo","orgName":"josejaldo","slug":"jvm-overview-opentelemetry","downloads":251,"revisionId":35802,"revision":1,"name":"Just a test","description":"Test","readme":"Just a test of uploading dashboards","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-01-16T13:40:49.000Z","updatedAt":"2025-01-16T13:41:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22703"},{"rel":"revisions","href":"/dashboards/22703/revisions"},{"rel":"revision","href":"/dashboards/22703/revisions/1"},{"rel":"download","href":"/dashboards/22703/revisions/1/download"},{"rel":"org","href":"/orgs/josejaldo"},{"rel":"images","href":"/dashboards/22703/images"},{"rel":"thumbnails","href":"/dashboards/22703/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11892,"status":1,"statusCode":"active","orgId":120980,"orgSlug":"libac","orgName":"libac","slug":"jvm","downloads":7896,"revisionId":16872,"revision":1,"name":"JVM","description":"Dashboard for Micrometer instrumented applications (Java, Spring Boot, Micronaut)\r\n\r\nFilter by datasource/namespace/node.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-12T05:59:41.000Z","updatedAt":"2020-03-12T06:04:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11892"},{"rel":"revisions","href":"/dashboards/11892/revisions"},{"rel":"revision","href":"/dashboards/11892/revisions/1"},{"rel":"download","href":"/dashboards/11892/revisions/1/download"},{"rel":"org","href":"/orgs/libac"},{"rel":"images","href":"/dashboards/11892/images"},{"rel":"thumbnails","href":"/dashboards/11892/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11278,"status":1,"statusCode":"active","orgId":316209,"orgSlug":"wanghy8166","orgName":"wanghy8166","slug":"jvm","downloads":764,"revisionId":17205,"revision":4,"name":"jvm","description":"jmx_prometheus_httpserver-0.12.0-jar-with-dependencies.jar","readme":"# 准备配置文件\ncat >jmx_exporter.yml<<EOF  \n\\---  \nhostPort: 172.17.10.83:12345  \nusername:   \npassword:   \n\nrules:  \n\\- pattern: \".*\"  \n\nEOF  \n# 运行\nwget https://repo1.maven.org/maven2/io/prometheus/jmx/jmx_prometheus_httpserver/0.12.0/jmx_prometheus_httpserver-0.12.0-jar-with-dependencies.jar  \njava -jar jmx_prometheus_httpserver-0.12.0-jar-with-dependencies.jar 9001 jmx_exporter.yml  \n# 2020.4.16 jvm增加GC的总吞吐率","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-26T06:12:55.000Z","updatedAt":"2020-04-16T05:22:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11278"},{"rel":"revisions","href":"/dashboards/11278/revisions"},{"rel":"revision","href":"/dashboards/11278/revisions/4"},{"rel":"download","href":"/dashboards/11278/revisions/4/download"},{"rel":"org","href":"/orgs/wanghy8166"},{"rel":"images","href":"/dashboards/11278/images"},{"rel":"thumbnails","href":"/dashboards/11278/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9568,"status":1,"statusCode":"active","orgId":220452,"orgSlug":"alijk","orgName":"alijk","slug":"jvm-actuator","downloads":11491,"revisionId":13235,"revision":1,"name":"JVM (Actuator)","description":"Dashboard for Micrometer(Java, Spring Boot, Actuator)","readme":"Spring boot with actuator.\n\n\nAdd this micrometer-registry-prometheus to pom. \n\n\nprometheus.yml set as\n```\nscrape_configs:\n  - job_name: 'spring'\n\tmetrics_path: '/actuator/prometheus'\n\tstatic_configs:\n\t  - targets: ['HOST:PORT']\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-12-24T09:39:08.000Z","updatedAt":"2018-12-25T03:38:19.000Z","isEditor":false,"hasLogo":false,"reviewsCount":2,"reviewsAvgRating":3.5,"links":[{"rel":"self","href":"/dashboards/9568"},{"rel":"revisions","href":"/dashboards/9568/revisions"},{"rel":"revision","href":"/dashboards/9568/revisions/1"},{"rel":"download","href":"/dashboards/9568/revisions/1/download"},{"rel":"org","href":"/orgs/alijk"},{"rel":"images","href":"/dashboards/9568/images"},{"rel":"thumbnails","href":"/dashboards/9568/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13694,"status":1,"statusCode":"active","orgId":185618,"orgSlug":"lixor","orgName":"alex lee","slug":"jvm-actuator","downloads":1801,"revisionId":19990,"revision":1,"name":"JVM (Actuator) with application name","description":"Dashboard for Micrometer(Java, Spring Boot, Actuator)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-08T07:09:29.000Z","updatedAt":"2021-01-08T07:10:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/13694"},{"rel":"revisions","href":"/dashboards/13694/revisions"},{"rel":"revision","href":"/dashboards/13694/revisions/1"},{"rel":"download","href":"/dashboards/13694/revisions/1/download"},{"rel":"org","href":"/orgs/lixor"},{"rel":"images","href":"/dashboards/13694/images"},{"rel":"thumbnails","href":"/dashboards/13694/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4701,"status":1,"statusCode":"active","orgId":121785,"orgSlug":"mweirauch","orgName":"mweirauch","slug":"jvm-micrometer","downloads":29163861,"revisionId":28645,"revision":10,"name":"JVM (Micrometer)","description":"Dashboard for Micrometer instrumented applications (Java, Spring Boot, Micronaut)","readme":"# JVM (Micrometer)\r\n\r\nA dashboard for [Micrometer](https://micrometer.io) instrumented applications (Java, Spring Boot, Micronaut).\r\n\r\n## Features\r\n\r\n* JVM memory\r\n* Process memory (provided by [micrometer-jvm-extras](https://github.com/mweirauch/micrometer-jvm-extras))\r\n* CPU-Usage, Load, Threads, Thread States, File Descriptors, Log Events\r\n* JVM Memory Pools (Heap, Non-Heap)\r\n* Garbage Collection/Pressure\r\n* Classloading\r\n* Direct-/Mapped-Buffer\r\n* minimalist I/O Overview\r\n  * HTTP - Rate, Errors, Duration\r\n  * TOMCAT/JETTY - Utilisation\r\n\r\n## Note\r\n\r\nInstead of using the `job` tag to distinct different applications, this dashboard makes use of a [common tag](https://micrometer.io/docs/concepts#_common_tags) called `application` applied to every metric.\r\n\r\nIn a Spring Boot setting, this could look like this:\r\n\r\n```java\r\n@Bean\r\nMeterRegistryCustomizer<MeterRegistry> configurer(\r\n    @Value(\"${spring.application.name}\") String applicationName) {\r\n    return (registry) -> registry.config().commonTags(\"application\", applicationName);\r\n}\r\n```\r\n\r\nOr since Spring Boot `2.1` / Micrometer `1.1.0` with a property:\r\n\r\n```properties\r\nmanagement.metrics.tags.application=${spring.application.name}\r\n```\r\n\r\n## Compatibility\r\n\r\n* micrometer:1.1.0+\r\n* micrometer-jvm-extras:0.1.2+\r\n\r\n## Changelog\r\n\r\n* 2023-05-04 (Revision 10)\r\n  * added GC Pressure panel in JVM Misc section\r\n  * changed process average CPU usage query from 1h to 15m\r\n  * reworked Buffer Pool panels\r\n    * combined buffer usage and buffer count into one panel\r\n    * fixed buffer detection (where hardcoded to \"direct\" and \"mapped\" before)\r\n  * removed JVM Memory Pool selection dropdown\r\n* 2019-11-03 (Revision 9)\r\n  * adjusted \"JVM Process Memory\" panel to [micrometer-jvm-extras:0.2.0](https://github.com/mweirauch/micrometer-jvm-extras/releases/tag/0.2.0) (removed 'pss' and 'swappss')\r\n  * dropped micrometer:1.0.x query fallbacks from PromQL\r\n  * minor polish\r\n* 2019-04-15 (Revision 8)\r\n  * fixed PromQL query for Java11 non-heap areas\r\n  * GC allocation/promotion unit changed to bytes/s (from byte)\r\n  * moved process memory metrics to dedicated panel\r\n* 2018-11-14 (Revision 7)\r\n  * updated some metric queries (with fallbacks) due to meter name changes from Micrometer `1.0.x` to `1.1.x`\r\n  * added Thread States panel\r\n\r\n## Contact\r\n\r\nFor suggestions or bug reports, please go to the [GitHub 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attrNameSnakeCase: true\n  - pattern: 'java.lang<type=OperatingSystem><>((?!process_cpu_time)\\w+):'\n    name: os_$1\n    type: GAUGE\n    attrNameSnakeCase: true\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-10-24T06:57:31.000Z","updatedAt":"2018-12-20T04:04:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":6,"reviewsAvgRating":4.17,"links":[{"rel":"self","href":"/dashboards/8563"},{"rel":"revisions","href":"/dashboards/8563/revisions"},{"rel":"revision","href":"/dashboards/8563/revisions/17"},{"rel":"download","href":"/dashboards/8563/revisions/17/download"},{"rel":"org","href":"/orgs/chanjarster"},{"rel":"images","href":"/dashboards/8563/images"},{"rel":"thumbnails","href":"/dashboards/8563/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10519,"status":1,"statusCode":"active","orgId":263116,"orgSlug":"mohsen0","orgName":"mohsen0","slug":"jvm-dashboard","downloads":10239,"revisionId":14708,"revision":2,"name":"JVM dashboard","description":"Complete dashboard using metrics from Prometheus JMX exporter, with drill down based on JMX Prometheus jobs","readme":"Complete dashboard using metrics from Prometheus JMX exporter, with drill down based on JMX Prometheus jobs\nDashboard for jvm_* metrics which are exported by JMX exporter.\njmx-exporter config example:\n\n```yaml\n---   \nlowercaseOutputLabelNames: true\nlowercaseOutputName: true\nwhitelistObjectNames: [\"java.lang:type=OperatingSystem\"]\nblacklistObjectNames: []\nrules:\n  - pattern: 'java.lang<type=OperatingSystem><>(committed_virtual_memory|free_physical_memory|free_swap_space|total_physical_memory|total_swap_space)_size:'\n    name: os_$1_bytes\n    type: GAUGE\n    attrNameSnakeCase: true\n  - pattern: 'java.lang<type=OperatingSystem><>((?!process_cpu_time)\\w+):'\n    name: os_$1\n    type: GAUGE\n    attrNameSnakeCase: true\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-07-11T15:08:16.000Z","updatedAt":"2019-07-11T16:36:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10519"},{"rel":"revisions","href":"/dashboards/10519/revisions"},{"rel":"revision","href":"/dashboards/10519/revisions/2"},{"rel":"download","href":"/dashboards/10519/revisions/2/download"},{"rel":"org","href":"/orgs/mohsen0"},{"rel":"images","href":"/dashboards/10519/images"},{"rel":"thumbnails","href":"/dashboards/10519/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8878,"status":1,"statusCode":"active","orgId":204175,"orgSlug":"chanjarster","orgName":"chanjarster","slug":"jvm-dashboard-for-prometheus-operator","downloads":29188,"revisionId":13208,"revision":11,"name":"JVM dashboard (for Prometheus Operator)","description":"JMX exporter dashboard for metrics 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The original Jolokia plugin was disconinued.\n~~~~~~~~~~~~~~~~~~~\n\nSteps for instrumenting your Java application:\n\n1. Download Jolokia agent (I tested with jolokia-jvm-1.6.0-agent.jar)\n2. Start your java application by adding an aditional argument:\n~~~~~~~~~~~~~~~~~~~\njava -javaagent:<jolokia_path>/jolokia-jvm-1.6.0-agent.jar [OTHER_ARGUMENTS]\n~~~~~~~~~~~~~~~~~~~\n3. Update your Telegraf config file:\n~~~~~~~~~~~~~~~~~~~\n# # Read JMX metrics from a Jolokia REST agent endpoint\n[[inputs.jolokia2_agent]]\n   urls = [\"http://localhost:8778/jolokia\"]\n\n[[inputs.jolokia2_agent.metric]]\n    name  = \"java_runtime\"\n    mbean = \"java.lang:type=Runtime\"\n    paths = [\"Uptime\"]\n\n[[inputs.jolokia2_agent.metric]]\n    name  = \"java_memory\"\n    mbean = \"java.lang:type=Memory\"\n    paths = [\"HeapMemoryUsage\", \"NonHeapMemoryUsage\", \"ObjectPendingFinalizationCount\"]\n\n[[inputs.jolokia2_agent.metric]]\n    name     = \"java_garbage_collector\"\n    mbean    = \"java.lang:name=*,type=GarbageCollector\"\n    paths    = [\"CollectionTime\", \"CollectionCount\"]\n    tag_keys = [\"name\"]\n\n[[inputs.jolokia2_agent.metric]]\n    name  = \"java_last_garbage_collection\"\n    mbean = \"java.lang:name=*,type=GarbageCollector\"\n    paths = [\"LastGcInfo\"]\n    tag_keys = [\"name\"]\n\n[[inputs.jolokia2_agent.metrics]]\n    name  = \"java_threading\"\n    mbean = \"java.lang:type=Threading\"\n    paths = [\"TotalStartedThreadCount\", \"ThreadCount\", \"DaemonThreadCount\", \"PeakThreadCount\"]\n\n[[inputs.jolokia2_agent.metrics]]\n    name  = \"java_class_loading\"\n    mbean = \"java.lang:type=ClassLoading\"\n    paths = [\"LoadedClassCount\", \"UnloadedClassCount\", \"TotalLoadedClassCount\"]\n\n[[inputs.jolokia2_agent.metrics]]\n    name     = \"java_memory_pool\"\n    mbean    = \"java.lang:name=*,type=MemoryPool\"\n    paths    = [\"Usage\", \"PeakUsage\", \"CollectionUsage\"]\n    tag_keys = [\"name\"]","collectorType":"Telegraf","collectorConfig":"","collectorPluginList":"jolokia","datasource":"InfluxDB","privacy":"public","createdAt":"2018-11-14T05:01:12.000Z","updatedAt":"2018-11-14T05:28:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8991"},{"rel":"revisions","href":"/dashboards/8991/revisions"},{"rel":"revision","href":"/dashboards/8991/revisions/1"},{"rel":"download","href":"/dashboards/8991/revisions/1/download"},{"rel":"org","href":"/orgs/adrianbanu"},{"rel":"images","href":"/dashboards/8991/images"},{"rel":"thumbnails","href":"/dashboards/8991/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10169,"status":1,"statusCode":"active","orgId":246352,"orgSlug":"kkaushal7","orgName":"kkaushal7","slug":"jvm-metrics-jolokia-2","downloads":574,"revisionId":14216,"revision":1,"name":"JVM Metrics - Jolokia 2","description":"This dashboard will provide JVM metrics for a Java application instrumented with Jolokia Agent.","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-05-09T08:00:37.000Z","updatedAt":"2019-05-09T08:00:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10169"},{"rel":"revisions","href":"/dashboards/10169/revisions"},{"rel":"revision","href":"/dashboards/10169/revisions/1"},{"rel":"download","href":"/dashboards/10169/revisions/1/download"},{"rel":"org","href":"/orgs/kkaushal7"},{"rel":"images","href":"/dashboards/10169/images"},{"rel":"thumbnails","href":"/dashboards/10169/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12271,"status":1,"statusCode":"active","orgId":381471,"orgSlug":"viniciusvsts","orgName":"viniciusvsts","slug":"jvm-micrometer","downloads":2355,"revisionId":17515,"revision":1,"name":"JVM Micrometer","description":"Dashboard for Micrometer instrumented applications (Java, Spring Boot, Micronaut). 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Micrometer Metrics","description":"Dashboard for Micrometer instrumented applications (Java, Spring Boot, Micronaut)","readme":"##   JVM Quarkus - Micrometer Metrics\r\n\r\nDashboard for [Quarkus](https://quarkus.io/) applications with [Micrometer](https://micrometer.io/). \\\r\nBased on original [JVM (Micrometer) dashboard](https://grafana.com/grafana/dashboards/4701) (Fixed Prometheus queries and removed empty charts)\r\n\r\n### Features\r\n\r\n- JVM memory \r\n- Process memory (provided by micrometer-jvm-extras) \r\n- CPU-Usage, Load, Threads, Thread States, File Descriptors, Log Events \r\n- JVM Memory Pools (Heap, Non-Heap) \r\n- Garbage Collection \r\n- Classloading\r\n- Direct-/Mapped-Buffer \r\n- I/O Overview \r\n   - HTTP - Rate, Handlers Rate, Errors, Duration \r\n   - GraphQL - Queries Rate ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-05-06T14:31:46.000Z","updatedAt":"2021-05-13T16:34:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14370"},{"rel":"revisions","href":"/dashboards/14370/revisions"},{"rel":"revision","href":"/dashboards/14370/revisions/6"},{"rel":"download","href":"/dashboards/14370/revisions/6/download"},{"rel":"org","href":"/orgs/aoot"},{"rel":"images","href":"/dashboards/14370/images"},{"rel":"thumbnails","href":"/dashboards/14370/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22108,"status":1,"statusCode":"active","orgId":1248125,"orgSlug":"hou469910799","orgName":"houdasheng","slug":"jvm-springboot3-dashboard-for-prometheus-operator","downloads":2858,"revisionId":35156,"revision":3,"name":"JVM SpringBoot3 dashboard (for Prometheus Operator)","description":"JVM monitoring Spring Boot 3 architecture dashboard by Prometheus Operator","readme":"# Spring Boot 3 Application Monitoring with Prometheus and Grafana\r\nAfter upgrading the Spring Boot 3 application, suitable Grafana dashboards for the Prometheus Operator were not available, so I integrated them. I referenced dashboards with ID 8878 and ID 4701. Thank you for your contributions.\r\n\r\n## Steps to Integrate Monitoring\r\nInclude Necessary Dependencies\r\nAdd the following dependency in your Spring Boot 3 project's pom.xml:\r\n\r\n```xml\r\n<dependency>\r\n    <groupId>io.micrometer</groupId>\r\n    <artifactId>micrometer-registry-prometheus</artifactId>\r\n</dependency>\r\n```\r\n\r\nVerify Prometheus Endpoint\r\nEnsure that the /actuator/prometheus path of the application can return data.\r\n\r\nEnsure Kubernetes Installation\r\nMake sure Kubernetes has the Prometheus Operator/kube-prometheus installed.\r\n\r\nEdit ServiceMonitor for Monitoring\r\nCreate or edit a ServiceMonitor resource:\r\n\r\n```yaml\r\napiVersion: monitoring.coreos.com/v1\r\nkind: ServiceMonitor\r\nmetadata:\r\n  name: springboot3-demo\r\n  namespace: default\r\n  labels:\r\n    app: springboot3-demo\r\nspec:\r\n  endpoints:\r\n  - port: http\r\n    # According to project configuration\r\n    # path: /springboot3-demo/actuator/prometheus\r\n    path: /actuator/prometheus\r\n    interval: 5s\r\n  namespaceSelector:\r\n    matchNames:\r\n    - default\r\n  selector:\r\n    matchLabels:\r\n      app: springboot3-demo\r\n```\r\n\r\nWe also need to create a Service resource:\r\n\r\n```yaml\r\nkind: Service\r\napiVersion: v1\r\nmetadata:\r\n  labels:\r\n    app: springboot3-demo\r\n  name: springboot3-demo\r\nspec:\r\n  ports:\r\n  - protocol: TCP\r\n    port: 80\r\n    targetPort: 80\r\n    name: http\r\n  selector:\r\n    app: springboot3-demo\r\n```\r\n\r\nImport Grafana Dashboard\r\nImport the dashboard with ID 22108 in Grafana.\r\n\r\nAlternative Method\r\nYou can also modify the prometheus.yml configuration file to add monitoring items, though this method hasn't been tested:\r\n\r\n```yaml\r\nscrape_configs:\r\n  - job_name: 'springboot3-demo'\r\n    metrics_path: '/actuator/prometheus'\r\n    static_configs:\r\n      - targets: ['localhost:8080']\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-10-18T07:31:59.000Z","updatedAt":"2026-01-30T06:56:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22108"},{"rel":"revisions","href":"/dashboards/22108/revisions"},{"rel":"revision","href":"/dashboards/22108/revisions/3"},{"rel":"download","href":"/dashboards/22108/revisions/3/download"},{"rel":"org","href":"/orgs/hou469910799"},{"rel":"images","href":"/dashboards/22108/images"},{"rel":"thumbnails","href":"/dashboards/22108/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12932,"status":1,"statusCode":"active","orgId":413650,"orgSlug":"dusatvoj","orgName":"dusatvoj","slug":"jvm-statistics","downloads":1194,"revisionId":28813,"revision":6,"name":"JVM statistics","description":"java.lang metrics dashboard","readme":"Dashboard for `java.lang.*` metrics 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dashboard\r\n\r\n","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-01-09T05:03:44.000Z","updatedAt":"2024-01-09T08:42:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20270"},{"rel":"revisions","href":"/dashboards/20270/revisions"},{"rel":"revision","href":"/dashboards/20270/revisions/1"},{"rel":"download","href":"/dashboards/20270/revisions/1/download"},{"rel":"org","href":"/orgs/gunawantattarde"},{"rel":"images","href":"/dashboards/20270/images"},{"rel":"thumbnails","href":"/dashboards/20270/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19431,"status":1,"statusCode":"active","orgId":934214,"orgSlug":"jang8584","orgName":"jang8584","slug":"my-k6-dashboard2","downloads":941,"revisionId":29798,"revision":1,"name":"k6 influxdb 2.X","description":"k6 for influxdb 2.x version(Flux)\r\n","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-08-29T07:33:46.000Z","updatedAt":"2023-08-29T07:35:06.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19431"},{"rel":"revisions","href":"/dashboards/19431/revisions"},{"rel":"revision","href":"/dashboards/19431/revisions/1"},{"rel":"download","href":"/dashboards/19431/revisions/1/download"},{"rel":"org","href":"/orgs/jang8584"},{"rel":"images","href":"/dashboards/19431/images"},{"rel":"thumbnails","href":"/dashboards/19431/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24708,"status":1,"statusCode":"active","orgId":1096937,"orgSlug":"pipatmahamat","orgName":"pipatmahamat","slug":"k6-load-test-dashboard-influxdb-v1-x","downloads":50,"revisionId":39593,"revision":1,"name":"k6 Load Test Dashboard (InfluxDB v1.x)","description":"A dashboard for visualizing results from the k6.io load testing tool, using the InfluxDB exporter","readme":"# k6 Load Testing Dashboard (InfluxDB v1.x)\r\n\r\nGrafana dashboard for visualizing **k6 load test results** using **InfluxDB 1.x (InfluxQL)**.\r\n\r\nThis dashboard is designed for users running **k6 with InfluxDB v1.x**, and has been **tested with InfluxDB 1.7.4**.\r\n\r\n---\r\n\r\n## 📊 Metrics Included\r\n\r\n* HTTP Request Duration (Avg / P95 / P99)\r\n* Requests per Second (RPS)\r\n* Error Rate\r\n* Iterations\r\n* Virtual Users (using `vus_max`)\r\n* Data Received / Sent\r\n\r\n---\r\n\r\n## 🧱 Requirements\r\n\r\n* k6\r\n* InfluxDB **1.7.x – 1.8.x**\r\n* Grafana **8+**\r\n* Query Language: **InfluxQL**\r\n\r\n> ⚠️ **Not compatible with InfluxDB 2.x (Flux)**\r\n\r\n---\r\n\r\n## 🚀 How to Use\r\n\r\n### 1. Run k6 with InfluxDB output\r\n\r\n```bash\r\nk6 run --out influxdb=http://localhost:8086/k6 script.js\r\n```\r\n\r\n### 2. Configure InfluxDB Data Source in Grafana\r\n\r\n* URL: `http://localhost:8086`\r\n* Database: `k6`\r\n* Query Language: **InfluxQL**\r\n\r\n### 3. Import Dashboard\r\n\r\n1. Grafana → **+ Import**\r\n2. Upload `dashboards/k6-load-testing-dashboard.json`\r\n3. Select your InfluxDB data source\r\n4. Import 🎉\r\n\r\n---\r\n\r\n## ℹ️ Notes\r\n\r\n### InfluxDB Version\r\n\r\n* This dashboard uses **InfluxQL**\r\n* It relies on the **InfluxDB 1.x schema**\r\n* It will **not work with InfluxDB 2.x** without major changes\r\n\r\n### Virtual Users Metric\r\n\r\nk6 does not always emit a real-time `vus` metric in InfluxDB.\r\n\r\nThis dashboard uses:\r\n\r\n* `vus_max` — the maximum number of virtual users allocated during the test\r\n\r\nThis ensures compatibility with most k6 executors.\r\n\r\n## Compatibility\r\n- ✅ InfluxDB 1.7.x – 1.8.x\r\n- ❌ InfluxDB 2.x (Flux not supported)\r\n\r\n## Tested With\r\n- k6\r\n- InfluxDB 1.7.4\r\n- Grafana 8+","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2026-01-19T04:04:30.000Z","updatedAt":"2026-01-21T08:02:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24708"},{"rel":"revisions","href":"/dashboards/24708/revisions"},{"rel":"revision","href":"/dashboards/24708/revisions/1"},{"rel":"download","href":"/dashboards/24708/revisions/1/download"},{"rel":"org","href":"/orgs/pipatmahamat"},{"rel":"images","href":"/dashboards/24708/images"},{"rel":"thumbnails","href":"/dashboards/24708/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24709,"status":1,"statusCode":"active","orgId":1096937,"orgSlug":"pipatmahamat","orgName":"pipatmahamat","slug":"k6-load-test-dashboard-influxdb-v1-x","downloads":11,"revisionId":39595,"revision":1,"name":"k6 Load Test Dashboard (InfluxDB v1.x)","description":"A dashboard for visualizing results from the k6.io load testing tool, using the InfluxDB exporter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2026-01-19T09:43:47.000Z","updatedAt":"2026-01-19T09:46:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24709"},{"rel":"revisions","href":"/dashboards/24709/revisions"},{"rel":"revision","href":"/dashboards/24709/revisions/1"},{"rel":"download","href":"/dashboards/24709/revisions/1/download"},{"rel":"org","href":"/orgs/pipatmahamat"},{"rel":"images","href":"/dashboards/24709/images"},{"rel":"thumbnails","href":"/dashboards/24709/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24720,"status":1,"statusCode":"active","orgId":1096937,"orgSlug":"pipatmahamat","orgName":"pipatmahamat","slug":"k6-load-test-dashboard-influxdb-v1-x","downloads":46,"revisionId":39624,"revision":1,"name":"k6 Load Test Dashboard (InfluxDB v1.x)","description":"A dashboard for visualizing results from the k6.io load testing tool, using the InfluxDB exporter","readme":"# k6 Load Testing Dashboard (InfluxDB v1.x)\r\n\r\nGrafana dashboard for visualizing **k6 load test results** using **InfluxDB 1.x (InfluxQL)**.\r\n\r\nThis dashboard is designed for users running **k6 with InfluxDB v1.x**, and has been **tested with InfluxDB 1.7.4**.\r\n\r\n---\r\n\r\n## 📊 Metrics Included\r\n\r\n* HTTP Request Duration (Avg / P95 / P99)\r\n* Requests per Second (RPS)\r\n* Error Rate\r\n* Iterations\r\n* Virtual Users (using `vus_max`)\r\n* Data Received / Sent\r\n\r\n---\r\n\r\n## 🧱 Requirements\r\n\r\n* k6\r\n* InfluxDB **1.7.x – 1.8.x**\r\n* Grafana **8+**\r\n* Query Language: **InfluxQL**\r\n\r\n> ⚠️ **Not compatible with InfluxDB 2.x (Flux)**\r\n\r\n---\r\n\r\n## 🚀 How to Use\r\n\r\n### 1. Run k6 with InfluxDB output\r\n\r\n```bash\r\nk6 run --out influxdb=http://localhost:8086/k6 script.js\r\n```\r\n\r\n### 2. Configure InfluxDB Data Source in Grafana\r\n\r\n* URL: `http://localhost:8086`\r\n* Database: `k6`\r\n* Query Language: **InfluxQL**\r\n\r\n### 3. Import Dashboard\r\n\r\nYou can import this dashboard in two ways:\r\n\r\nOption A: Import by Dashboard ID (Recommended)\r\n\r\n1. Open Grafana\r\n2. Go to Dashboards → + Import\r\n3. Enter Dashboard ID: 24720\r\n4. Click Load\r\n5. Select your InfluxDB (v1.x) data source\r\n6. Click Import 🎉\r\n\r\nOption B: Import by JSON File\r\n\r\n1. Open Grafana\r\n2. Go to Dashboards → + Import\r\n3. Upload dashboards/k6-load-testing-dashboard.json\r\n4. Select your InfluxDB (v1.x) data source\r\n5. Click Import 🎉\r\n\r\n## ℹ️ Notes\r\n\r\n### InfluxDB Version\r\n\r\n* This dashboard uses **InfluxQL**\r\n* It relies on the **InfluxDB 1.x schema**\r\n* It will **not work with InfluxDB 2.x** without major changes\r\n\r\n### Virtual Users Metric\r\n\r\nk6 does not always emit a real-time `vus` metric in InfluxDB.\r\n\r\nThis dashboard uses:\r\n\r\n* `vus_max` — the maximum number of virtual users allocated during the test\r\n\r\nThis ensures compatibility with most k6 executors.\r\n\r\n## Compatibility\r\n- ✅ InfluxDB 1.7.x – 1.8.x\r\n- ❌ InfluxDB 2.x (Flux not supported)\r\n\r\n## Tested With\r\n- k6\r\n- InfluxDB 1.7.4\r\n- Grafana 8+","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2026-01-21T07:57:00.000Z","updatedAt":"2026-01-21T08:07:19.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24720"},{"rel":"revisions","href":"/dashboards/24720/revisions"},{"rel":"revision","href":"/dashboards/24720/revisions/1"},{"rel":"download","href":"/dashboards/24720/revisions/1/download"},{"rel":"org","href":"/orgs/pipatmahamat"},{"rel":"images","href":"/dashboards/24720/images"},{"rel":"thumbnails","href":"/dashboards/24720/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18105,"status":1,"statusCode":"active","orgId":794060,"orgSlug":"soozoo","orgName":"soozoo","slug":"k6-load-testing-infra-room","downloads":358,"revisionId":27803,"revision":1,"name":"k6 Load Testing infra room","description":"A dashboard for visualizing results from the k6.io load testing tool, using the InfluxDB exporter.","readme":"This is K6 load tesing dashboard. Fixed Error Per Second issue from popular one and add feature of grouping by tags. you should add 'tags' to your http method, ex) http.get(url, {tags: {page_name: \"get_path\"}}) to see results correctly.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-02-15T05:33:59.000Z","updatedAt":"2023-02-15T06:02:34.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18105"},{"rel":"revisions","href":"/dashboards/18105/revisions"},{"rel":"revision","href":"/dashboards/18105/revisions/1"},{"rel":"download","href":"/dashboards/18105/revisions/1/download"},{"rel":"org","href":"/orgs/soozoo"},{"rel":"images","href":"/dashboards/18105/images"},{"rel":"thumbnails","href":"/dashboards/18105/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":2587,"status":1,"statusCode":"active","orgId":50000,"orgSlug":"dcadwallader","orgName":"dcadwallader","slug":"k6-load-testing-results","downloads":36558,"revisionId":3646,"revision":3,"name":"k6 Load Testing Results","description":"A dashboard for visualizing results from the k6.io load testing tool, using the InfluxDB exporter","readme":"# About \r\n\r\nA nice-lookin' dashboard to visualize load testing results from the [k6 load testing tool](http://k6.io).\r\nCurrently requires InfluxDB.  See [the k6 docs](https://docs.k6.io/docs/influxdb-grafana) to set this up.\r\n\r\n# Version History\r\n## Version 1 - 06 July 2017\r\n* Initial Release\r\n\r\n## Version 2 - 18 July 2017\r\n* [Feature] Added drop-down for selecting any `http_req_*` metric exposed by k6\r\n* [Feature] Added row of singlestat panels to show global aggregate values, whereas the graphs show how these values change _over time_\r\n* [Feature] Added `Requests per Second` panel\r\n* [Bug] Fixed issue where heatmap was using aggregated values instead of raw values, causing inaccurate results\r\n* [Bug] Worked around issue where heatmap would fail to render with values of exactly `0`.  [Logged Grafana issue](https://github.com/grafana/grafana/issues/8884) \r\n* [Tweak] Updated line chart to use `max`, `p95`, `p90`, and `min` aggregators to match k6 CLI output\r\n* [Tweak] Updated line chart to use `base 2` scale to more easily spot outliers\r\n\r\n## Version 3 - 18 July 2017\r\n* [Bug] Fixed issue where heatmap panel was not using templated value, so it was always pinned to `http_req_duration`\r\n\r\n# Notes\r\n\r\n* All stats are grouped by a time interval of >1s to minimize noise due to extreme fluctuations. [See discussion around this on Slack](https://k6io.slack.com/archives/C3EDLHPTR/p1494353407564315)\r\n\r\nComments? Feedback?  Join the k6 Slack org here: https://k6.io/slack/ and join the #grafana channel.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-07-06T19:22:40.000Z","updatedAt":"2017-07-18T21:54:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/2587"},{"rel":"revisions","href":"/dashboards/2587/revisions"},{"rel":"revision","href":"/dashboards/2587/revisions/3"},{"rel":"download","href":"/dashboards/2587/revisions/3/download"},{"rel":"org","href":"/orgs/dcadwallader"},{"rel":"images","href":"/dashboards/2587/images"},{"rel":"thumbnails","href":"/dashboards/2587/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10660,"status":1,"statusCode":"active","orgId":271645,"orgSlug":"kmb","orgName":"k m","slug":"k6-load-testing-results","downloads":6966,"revisionId":14884,"revision":1,"name":"k6 Load Testing Results","description":"A dashboard for visualizing results from the k6.io load testing tool, using the InfluxDB exporter.Based on https://grafana.com/dashboards/4411","readme":"This is based on https://grafana.com/dashboards/4411","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-08-02T08:27:59.000Z","updatedAt":"2019-08-02T08:37:33.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/10660"},{"rel":"revisions","href":"/dashboards/10660/revisions"},{"rel":"revision","href":"/dashboards/10660/revisions/1"},{"rel":"download","href":"/dashboards/10660/revisions/1/download"},{"rel":"org","href":"/orgs/kmb"},{"rel":"images","href":"/dashboards/10660/images"},{"rel":"thumbnails","href":"/dashboards/10660/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":4411,"status":1,"statusCode":"active","orgId":16663,"orgSlug":"stian","orgName":"Stian Øvrevåge","slug":"k6-load-testing-results","downloads":5174,"revisionId":24535,"revision":4,"name":"k6 Load Testing Results","description":"A dashboard for visualizing results from the k6.io load testing tool, using the InfluxDB exporter.\r\n\r\nBased on https://grafana.com/dashboards/2587\r\n\r\n","readme":"This is based on https://grafana.com/dashboards/2587\r\n\r\nPro-tip: Change grafana configuration `min_refresh_interval` which is default 5s to 1s to be able to get near real-time dashboard updates when doing load tests.\r\n\r\nUpdate 2022-04-26:\r\n - Add panel for failed http requests.\r\n - Add panel for aggregate latency\r\n - Rearrange panels a bit\r\n - Convert panels to new Grafana 8 (?) panel types (time series and tables).\r\n\r\nUpdate 2018-11-07 - Sharpen `name` dashboard variable to only apply to InfluxDB metrics so other measurements with a `name` tag will not fill the variable list. Remove the `errors` graph since it does not seem to be a part of K6 metrics. Change the styles of some of the graphs.\r\n\r\nUpdate 2018-09-25 - Update dashboard variable URL to reflect InfluxDB label change from `url` to `name`.\r\n\r\nChanges:\r\n  * Adds templated URLs for easier drill down to specific URLs in a test.\r\n  * Uses InfluxDB query editor for all panels instead of raw InfluxDB queries.\r\n  * Adds a table with all URLs that have been tested in the time-period and their p95 latency.\r\n  * Adds some explanation of the different metrics on 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./grafana:/etc/grafana/provisioning/\r\n\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-08-29T03:57:37.000Z","updatedAt":"2022-08-29T04:03:40.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16803"},{"rel":"revisions","href":"/dashboards/16803/revisions"},{"rel":"revision","href":"/dashboards/16803/revisions/1"},{"rel":"download","href":"/dashboards/16803/revisions/1/download"},{"rel":"org","href":"/orgs/dinabasumatary"},{"rel":"images","href":"/dashboards/16803/images"},{"rel":"thumbnails","href":"/dashboards/16803/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18595,"status":1,"statusCode":"active","orgId":837215,"orgSlug":"rangisettyram","orgName":"rangisettyram","slug":"k6-load-testing-results-prometheus","downloads":581,"revisionId":28510,"revision":1,"name":"k6 Load Testing Results 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Overview\r\n\r\nThe dashboard is divided in three parts:\r\n\r\n- the variables panel\r\n- the global metrics panel\r\n- a panel for each HTTP request\r\n\r\nThrough the variables panel, you can choose to observe one or multiple specific HTTP requests (tracked by their \"name\" tag).\r\nYou can then choose which HTTP timing to observe amongst [the seven standard Go HTTP timings](https://k6.io/docs/using-k6/metrics#http-specific-built-in-metrics).\r\n\r\nThe global metrics panel provides an overview of the running test:\r\n\r\n- Number of test iterations per second\r\n- Number of [Virtual Users](https://k6.io/docs/using-k6/scenarios#executors) scheduled\r\n- Percentage of [failed checks](https://k6.io/docs/using-k6/checks)\r\n- Network throughput (number of bytes sent and received per second)\r\n- Number of script errors\r\n\r\nA panel is instantiated for each K6 request name that the user enabled in the **K6 Request Name** dropdown list.\r\nThe request panel shows throughput and 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(.+)\n          replacement: $1:4001\n          target_label: __address__\n        - source_labels: [__meta_kubernetes_pod_node_name]\n          action: replace\n          target_label: node_name\n        - source_labels: [__meta_kubernetes_pod_name]\n          action: replace\n          target_label: pod_name\n        - source_labels: [__meta_kubernetes_pod_container_name]\n          action: replace\n          target_label: container_name\n        - action: labelmap\n          regex: __meta_kubernetes_pod_label_(.+)\n          replacement: $1\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch, 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An alternative to prometheus/windows_exporter.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-09-08T18:06:12.000Z","updatedAt":"2023-09-08T18:07:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19501"},{"rel":"revisions","href":"/dashboards/19501/revisions"},{"rel":"revision","href":"/dashboards/19501/revisions/1"},{"rel":"download","href":"/dashboards/19501/revisions/1/download"},{"rel":"org","href":"/orgs/dcnim94"},{"rel":"images","href":"/dashboards/19501/images"},{"rel":"thumbnails","href":"/dashboards/19501/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11453,"status":1,"statusCode":"active","orgId":327895,"orgSlug":"itewk","orgName":"Ian Tewksbury","slug":"k8s-storage-heketi","downloads":2069647,"revisionId":16154,"revision":8,"name":"K8s / Storage / Heketi","description":"Dashboard of data exported from Heketi via Prometheus Service as deployed by OpenShift Container Storage (OCS) 3.x.","readme":"# Overview\r\nDashboard of data exported from Heketi via Prometheus Service as deployed by OpenShift Container Storage (OCS) 3.x.\r\n\r\n# Expects\r\n* `heketi_cluster_count`\r\n* `heketi_device_free_bytes`\r\n* `heketi_device_size_bytes`\r\n* `heketi_device_used_bytes`\r\n* `heketi_nodes_count`\r\n* `heketi_volumes_count`\r\n* `heketi_block_volumes_count`\r\n* `heketi_up`\r\n\r\n# Published Grafana Alerts\r\n* `Available Capacity in a Week Based on Daily Use Rate Alert`\r\n\r\n# Documentation\r\n* Set up Prometheus on OpenShift - [Red Hat OpenShiftr Container Platform 3.11: Configuring Clusters: Prometheus Cluster Monitoring](https://docs.openshift.com/container-platform/3.11/install_config/prometheus_cluster_monitoring.html)\r\n* Set up OCS 3.11 to export Heketi data to Prometheus - [Red Hat OpenShift Container Storage 3.11: Operations Guide: 10.1. Available Metrics for File Storage and Block Storage](https://access.redhat.com/documentation/en-us/red_hat_openshift_container_storage/3.11/html/operations_guide/enable_vol_metrics#file_vol_metrics).\r\n\r\n# Tested With\r\n* OpenShift Container Platform (OCP)\r\n  * v3.11.154\r\n* OpenShift Container Storage (OCS)\r\n  * 3.11\r\n* Grafana\r\n  * v6.5.2\r\n* Prometheus\r\n  * v2.3.2\r\n\r\n# Related Boards\r\n* [K8s / Storage / Heketi](https://grafana.com/grafana/dashboards/11453)\r\n* [K8s / Storage / Volumes / Cluster](https://grafana.com/grafana/dashboards/11454)\r\n* [K8s / Storage / Volumes / Namespace](https://grafana.com/grafana/dashboards/11455)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-12-21T17:00:12.000Z","updatedAt":"2019-12-26T16:20:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11453"},{"rel":"revisions","href":"/dashboards/11453/revisions"},{"rel":"revision","href":"/dashboards/11453/revisions/8"},{"rel":"download","href":"/dashboards/11453/revisions/8/download"},{"rel":"org","href":"/orgs/itewk"},{"rel":"images","href":"/dashboards/11453/images"},{"rel":"thumbnails","href":"/dashboards/11453/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11454,"status":1,"statusCode":"active","orgId":327895,"orgSlug":"itewk","orgName":"Ian Tewksbury","slug":"k8s-storage-volumes-cluster","downloads":24008889,"revisionId":16139,"revision":14,"name":"K8s / Storage / Volumes / Cluster","description":"Dashboard of Kubernetes / OpenShift volume information at cluster level as exported by Prometheus connected to Kubernetes / OpenShift.","readme":"# Overview\r\nDashboard of Kubernetes / OpenShift volume information at cluster level as exported by Prometheus connected to Kubernetes / OpenShift.\r\n\r\n# Expects\r\n* `pv_collector_bound_pvc_count`\r\n* `pv_collector_unbound_pvc_count`\r\n* `kube_persistentvolumeclaim_info`\r\n* `kubelet_volume_stats_used_bytes`\r\n* `kubelet_volume_stats_available_bytes`\r\n* `kubelet_volume_stats_capacity_bytes`\r\n\r\n# Published Grafana Alerts\r\n* `Infrastructure Namespace Volumes Full in Week Based on Daily Use Rate Alert`\r\n* `User Namespace Volumes Full in Week Based on Daily Use Rate Alert`\r\n\r\n# Documentation\r\n* Set up Prometheus on OpenShift - [Red Hat OpenShiftr Container Platform 3.11: Configuring Clusters: Prometheus Cluster Monitoring](https://docs.openshift.com/container-platform/3.11/install_config/prometheus_cluster_monitoring.html)\r\n\r\n# Tested With\r\n* OpenShift Container Platform (OCP)\r\n  * v3.11.154\r\n* OpenShift Container Storage (OCS)\r\n  * 3.11\r\n* Grafana\r\n  * v6.5.2\r\n* Prometheus\r\n  * v2.3.2\r\n\r\n# Related Boards\r\n* [K8s / Storage / Heketi](https://grafana.com/grafana/dashboards/11453)\r\n* [K8s / Storage / Volumes / Cluster](https://grafana.com/grafana/dashboards/11454)\r\n* [K8s / Storage / Volumes / Namespace](https://grafana.com/grafana/dashboards/11455)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-12-21T17:16:14.000Z","updatedAt":"2019-12-22T21:06:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/11454"},{"rel":"revisions","href":"/dashboards/11454/revisions"},{"rel":"revision","href":"/dashboards/11454/revisions/14"},{"rel":"download","href":"/dashboards/11454/revisions/14/download"},{"rel":"org","href":"/orgs/itewk"},{"rel":"images","href":"/dashboards/11454/images"},{"rel":"thumbnails","href":"/dashboards/11454/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23207,"status":1,"statusCode":"active","orgId":1392278,"orgSlug":"isisglima","orgName":"isisglima","slug":"k8s-storage-volumes-cluster","downloads":270,"revisionId":36733,"revision":1,"name":"K8s / Storage / Volumes / Cluster","description":"Dashboard of Kubernetes / OpenShift volume information at cluster level as exported by Prometheus connected to Kubernetes / OpenShift.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-07T11:55:54.000Z","updatedAt":"2025-04-13T20:31:49.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23207"},{"rel":"revisions","href":"/dashboards/23207/revisions"},{"rel":"revision","href":"/dashboards/23207/revisions/1"},{"rel":"download","href":"/dashboards/23207/revisions/1/download"},{"rel":"org","href":"/orgs/isisglima"},{"rel":"images","href":"/dashboards/23207/images"},{"rel":"thumbnails","href":"/dashboards/23207/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11455,"status":1,"statusCode":"active","orgId":327895,"orgSlug":"itewk","orgName":"Ian Tewksbury","slug":"k8s-storage-volumes-namespace","downloads":4994826,"revisionId":16155,"revision":6,"name":"K8s / Storage / Volumes / Namespace","description":"Dashboard of Kubernetes / OpenShift volume information at namespace level as exported by Prometheus connected to Kubernetes / OpenShift.","readme":"# Overview\r\nDashboard of Kubernetes / OpenShift volume information at namespace level as exported by Prometheus connected to Kubernetes / OpenShift.\r\n\r\n# Expects\r\n* `pv_collector_bound_pvc_count`\r\n* `pv_collector_unbound_pvc_count`\r\n* `kube_persistentvolumeclaim_info`\r\n* `kubelet_volume_stats_used_bytes`\r\n* `kubelet_volume_stats_available_bytes`\r\n* `kubelet_volume_stats_capacity_bytes`\r\n\r\n# Documentation\r\n* Set up Prometheus on OpenShift - [Red Hat OpenShiftr Container Platform 3.11: Configuring Clusters: Prometheus Cluster Monitoring](https://docs.openshift.com/container-platform/3.11/install_config/prometheus_cluster_monitoring.html)\r\n\r\n# Tested With\r\n* OpenShift Container Platform (OCP)\r\n  * v3.11.154\r\n* OpenShift Container Storage (OCS)\r\n  * 3.11\r\n* Grafana\r\n  * v6.5.2\r\n* Prometheus\r\n  * v2.3.2\r\n\r\n# Related Boards\r\n* [K8s / Storage / Heketi](https://grafana.com/grafana/dashboards/11453)\r\n* [K8s / Storage / Volumes / Cluster](https://grafana.com/grafana/dashboards/11454)\r\n* [K8s / Storage / Volumes / Namespace](https://grafana.com/grafana/dashboards/11455)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-12-21T20:12:58.000Z","updatedAt":"2019-12-26T16:24:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11455"},{"rel":"revisions","href":"/dashboards/11455/revisions"},{"rel":"revision","href":"/dashboards/11455/revisions/6"},{"rel":"download","href":"/dashboards/11455/revisions/6/download"},{"rel":"org","href":"/orgs/itewk"},{"rel":"images","href":"/dashboards/11455/images"},{"rel":"thumbnails","href":"/dashboards/11455/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22874,"status":1,"statusCode":"active","orgId":1283622,"orgSlug":"yunanj","orgName":"yunanj","slug":"k8s-app-logs-multi-clusters-loki-infinite-scroll-grafana-11-2025-namespace-app-container-podsearch-logsearch","downloads":5077,"revisionId":36163,"revision":3,"name":"K8s App Logs / Multi Clusters (Loki, Infinite Scroll, Grafana 11, 2025, namespace, app, container, podsearch, logsearch)","description":"Centralized Multicluster Monitoring / K8s App Log / Infinite Scroll / Edited from 13639","readme":"# UseCase\r\n- We are operating multiple Kubernetes clusters and have deployed the [loki-stack helm chart](https://artifacthub.io/packages/helm/grafana/loki-stack) to each cluster.\r\n- We want to monitor logs of multiple clusters in a centralized monitoring environment.\r\n\r\n# Forwarder(Collector)\r\n- You can use one of promtail, filebeat, fluentbit, fluentd ... \r\n- We used promtail as the forwarder and used the default settings in the [loki-stack helm chart](https://artifacthub.io/packages/helm/grafana/loki-stack)\r\n\r\n# Original Source (13639)\r\n  - https://grafana.com/grafana/dashboards/13639-logs-app/\r\n\r\n# Custom Changes (22874)\r\n- Latest: [https://github.com/YunanJeong/plg-stack](https://github.com/YunanJeong/plg-stack)\r\n- Support Grafana 11.5\r\n- Support Dynamic Selection for Multi-DataSource(Loki)\r\n- Default activation of [Infinite Scrolling on log panels (experimental)](https://github.com/grafana/grafana/issues/71728#issuecomment-2548760389)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2025-02-17T09:56:31.000Z","updatedAt":"2025-07-18T05:48:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22874"},{"rel":"revisions","href":"/dashboards/22874/revisions"},{"rel":"revision","href":"/dashboards/22874/revisions/3"},{"rel":"download","href":"/dashboards/22874/revisions/3/download"},{"rel":"org","href":"/orgs/yunanj"},{"rel":"images","href":"/dashboards/22874/images"},{"rel":"thumbnails","href":"/dashboards/22874/thumbnails"}],"datasourceSlugs":["loki"]},{"id":24592,"status":1,"statusCode":"active","orgId":1210027,"orgSlug":"evagertseva","orgName":"evagertseva","slug":"certificates","downloads":84,"revisionId":39386,"revision":1,"name":"K8s Cert Expiry","description":"This dashboard provides visibility into TLS certificates stored as Kubernetes Secrets across the cluster.","readme":"It displays certificate expiration metrics collected by the [certificate monitoring service](https://github.com/egertseva/k8s-certs-metrics/), including the namespace, secret name, certificate key, and the number of days remaining until expiration.\r\n\r\nThe dashboard enables early detection of expiring or expired certificates, helping teams proactively rotate certificates and avoid service disruptions caused by unexpected TLS failures.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-12-21T20:24:45.000Z","updatedAt":"2025-12-22T06:17:21.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24592"},{"rel":"revisions","href":"/dashboards/24592/revisions"},{"rel":"revision","href":"/dashboards/24592/revisions/1"},{"rel":"download","href":"/dashboards/24592/revisions/1/download"},{"rel":"org","href":"/orgs/evagertseva"},{"rel":"images","href":"/dashboards/24592/images"},{"rel":"thumbnails","href":"/dashboards/24592/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20238,"status":1,"statusCode":"active","orgId":1021962,"orgSlug":"eks5115","orgName":"eks5115","slug":"k8s-cluster","downloads":437,"revisionId":31163,"revision":1,"name":"k8s cluster","description":"monitor for k8s cluster include node and pod","readme":"k8s","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-01-03T01:39:42.000Z","updatedAt":"2024-01-17T09:54:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20238"},{"rel":"revisions","href":"/dashboards/20238/revisions"},{"rel":"revision","href":"/dashboards/20238/revisions/1"},{"rel":"download","href":"/dashboards/20238/revisions/1/download"},{"rel":"org","href":"/orgs/eks5115"},{"rel":"images","href":"/dashboards/20238/images"},{"rel":"thumbnails","href":"/dashboards/20238/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9619,"status":1,"statusCode":"active","orgId":227995,"orgSlug":"deadcow","orgName":"Thiago Freitas","slug":"k8s-deployments","downloads":1398,"revisionId":13330,"revision":1,"name":"K8S Cluster Deployments","description":"Dashboard that shows how many deployments occurred by namespace or in the cluster and your workload","readme":"With this dashboard it is possible to check how many deployments have been performed on a kubernetes cluster, separated by namespace, application or even the entire cluster.\n\nIn addition, it provides realtime CPU and memory information to note differences between deployments.\n\nVersion Information:\n* Kubernetes: 1.10.8\n* Prometheus: 2.4.2\n* Kube State Metrics: 1.4.0\n\nDependencies:\n* Kube State Metrics\n* [Metrics Server exporter](https://github.com/grupozap/metrics-server-exporter)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-01-10T17:44:41.000Z","updatedAt":"2019-01-10T19:46:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9619"},{"rel":"revisions","href":"/dashboards/9619/revisions"},{"rel":"revision","href":"/dashboards/9619/revisions/1"},{"rel":"download","href":"/dashboards/9619/revisions/1/download"},{"rel":"org","href":"/orgs/deadcow"},{"rel":"images","href":"/dashboards/9619/images"},{"rel":"thumbnails","href":"/dashboards/9619/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8073,"status":1,"statusCode":"active","orgId":81019,"orgSlug":"gkope","orgName":"Gabriel Kope","slug":"k8s-cluster-health","downloads":4084,"revisionId":17733,"revision":3,"name":"K8S Cluster Health","description":"Dashboard to get an overview of K8S Production Cluster","readme":"With this dashboard we will be able to have a full overview of your K8S cluster services like API Server, ETCD, Ingress, Cluster Autoscaler, Prometheus and some other stuff.\n\nThis dashboard uses metrics from a lot of cluster services, so make sure you have configured your Prometheus to scrap metrics from this all this apps:\n- Cluster Autoscaler Metrics\n- API Server Metrics\n- ETCD Metrics\n- Node Exporter Metrics\n- Ingress Metrics \n- Kube State Metrics\n\nVersion Information:\n- Kubernetes: 1.15.0+\n- Prometheus: 2.17.0+ (tested and working fine with Prometheus 1.x)\n- Node Exporter: 0.18.0+\n- Cluster Autoscaler: 1.17.0+\n- Kube State Metrics: 1.8.0+\n\nOur Prometheus Scrap Rule for ETCD Relabel:\n\n```\n- job_name: 'etcd-manager'\n      kubernetes_sd_configs:\n      - role: pod\n      tls_config:\n        ca_file: /etc/prometheus/etcd-certs/etcd-clients-ca.crt\n        cert_file: /etc/prometheus/etcd-certs/prometheus-etcd.crt\n        key_file: /etc/prometheus/etcd-certs/prometheus-etcd.key\n        insecure_skip_verify: true\n      scheme: https\n      metrics_path: '/metrics'\n      relabel_configs:\n        - action: keep\n          regex: ^(etcd-manager-main-.*)$\n          source_labels:\n          - __meta_kubernetes_pod_name\n        - source_labels: [__address__]\n          action: replace\n          regex: (.+)\n          replacement: $1:4001\n          target_label: __address__\n        - source_labels: [__meta_kubernetes_pod_node_name]\n          action: replace\n          target_label: node_name\n        - source_labels: [__meta_kubernetes_pod_name]\n          action: replace\n          target_label: pod_name\n        - source_labels: [__meta_kubernetes_pod_container_name]\n          action: replace\n          target_label: container_name\n        - action: labelmap\n          regex: __meta_kubernetes_pod_label_(.+)\n          replacement: $1\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite, Prometheus","privacy":"public","createdAt":"2018-09-25T21:29:24.000Z","updatedAt":"2020-05-29T20:45:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8073"},{"rel":"revisions","href":"/dashboards/8073/revisions"},{"rel":"revision","href":"/dashboards/8073/revisions/3"},{"rel":"download","href":"/dashboards/8073/revisions/3/download"},{"rel":"org","href":"/orgs/gkope"},{"rel":"images","href":"/dashboards/8073/images"},{"rel":"thumbnails","href":"/dashboards/8073/thumbnails"}],"datasourceSlugs":["graphite","prometheus"]},{"id":11663,"status":1,"statusCode":"active","orgId":342206,"orgSlug":"juanjoselopezroldan","orgName":"juanjoselopezroldan","slug":"k8s-cluster-metrics","downloads":73803,"revisionId":16461,"revision":1,"name":"K8s Cluster Metrics","description":"Dashboard of use from resource of cluster of Kubernetes.\r\nIn this Dashboard it see:\r\n\r\nState of containers from Cluster, State of Pods from Cluster, State of Jobs from Cluster, Deployment and ReplicationController state of Cluster, Nodes number and state of they, Network Activity by namespaces, CPU use in the cluster and CPU use in the cluster by namespaces, Ram memory use in the cluster and Ram memory use in the cluster by namespaces.","readme":"Dashboard of use from resource of cluster of Kubernetes.\r\nIn this Dashboard it see:\r\n- State of containers from Cluster.\r\n- State of Pods from Cluster.\r\n- State of Jobs from Cluster.\r\n- Deployment and ReplicationController state of Cluster.\r\n- Nodes number and state of they\r\n- Network Activity by namespaces.\r\n- CPU use in the cluster and CPU use in the cluster by namespaces.\r\n- Ram memory use in the cluster and Ram memory use in the cluster by namespaces.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-29T09:22:21.000Z","updatedAt":"2020-01-29T10:08:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11663"},{"rel":"revisions","href":"/dashboards/11663/revisions"},{"rel":"revision","href":"/dashboards/11663/revisions/1"},{"rel":"download","href":"/dashboards/11663/revisions/1/download"},{"rel":"org","href":"/orgs/juanjoselopezroldan"},{"rel":"images","href":"/dashboards/11663/images"},{"rel":"thumbnails","href":"/dashboards/11663/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14249,"status":1,"statusCode":"active","orgId":484890,"orgSlug":"chaosengineers","orgName":"chaosengineers","slug":"cluster-monitor","downloads":137366,"revisionId":20978,"revision":1,"name":"K8S Cluster Monitor","description":"English version of an Asian dashboard found on grafana.com/dashboards","readme":"A visually appealing breakdown of kubernetes statistics. This isn't fully working yet, as you'll see, but it's a great start.","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-04-19T14:00:49.000Z","updatedAt":"2021-04-19T14:34:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/14249"},{"rel":"revisions","href":"/dashboards/14249/revisions"},{"rel":"revision","href":"/dashboards/14249/revisions/1"},{"rel":"download","href":"/dashboards/14249/revisions/1/download"},{"rel":"org","href":"/orgs/chaosengineers"},{"rel":"images","href":"/dashboards/14249/images"},{"rel":"thumbnails","href":"/dashboards/14249/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12870,"status":1,"statusCode":"active","orgId":403108,"orgSlug":"chaiyd","orgName":"chaiyd","slug":"k8s-cluster-monitoring-via-chaiyd","downloads":649,"revisionId":21573,"revision":7,"name":"K8s cluster monitoring (via chaiyd)","description":"K8s cluster using Prometheus.","readme":"## github: [chaiyd](https://github.com/chaiyd/kubernetes.git)\n\n#### Revision 7\n- update kubernetes 1.21.0\n- node-exporter version v1.1.2\n- prometheus version v2.27.1\n- grafana version 8.0.1\n\n#### Revision 5\n- update  Cluster filesystem usage  Total N/A\n\n#### Revision 4\n- k8s  version 1.16.10\n- node-exporter  version  v1.0.1\n- prometheus  version  2.19.2\n- grafana  version    7.1.0","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-08-21T10:09:42.000Z","updatedAt":"2021-06-11T06:33:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12870"},{"rel":"revisions","href":"/dashboards/12870/revisions"},{"rel":"revision","href":"/dashboards/12870/revisions/7"},{"rel":"download","href":"/dashboards/12870/revisions/7/download"},{"rel":"org","href":"/orgs/chaiyd"},{"rel":"images","href":"/dashboards/12870/images"},{"rel":"thumbnails","href":"/dashboards/12870/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8685,"status":1,"statusCode":"active","orgId":45000,"orgSlug":"kajanth","orgName":"Kajanth Mayooranathan","slug":"k8s-cluster-summary","downloads":379188,"revisionId":11931,"revision":1,"name":"K8s Cluster Summary","description":"Summary metrics about containers running on Kubernetes nodes and mainline kubernetes statistics","readme":"This Dashboard is extracted from Kubernetes App Plugin but has been updated to work out of the box with Prometheus Operator.\r\n\r\nRequires\r\n\r\nNode Exporter\r\nKube State Metrics","collectorType":"nodeExporter","collectorConfig":"There has to be a Datasource called prometheus and type prometheus for it to 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Scheduler.","readme":"# Based on this very helpful blog \nhttps://blog.freshtracks.io/a-deep-dive-into-kubernetes-metrics-part-4-the-kubernetes-api-server-72f1e1210770\n\nIt contains below\n1) Enable API Server Prometheus scraping\n2) Assuming your prometheus scrapes based on service annotations, create services for Scheduler and Controller as outlined below\n\n# Promethus Configuration for API Server\n```\n- job_name: kubernetes-apiservers\n      scrape_interval: 10s\n      scrape_timeout: 10s\n      metrics_path: /metrics\n      scheme: https\n      kubernetes_sd_configs:\n      - api_server: null\n        role: endpoints\n        namespaces:\n          names: []\n      bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token\n      tls_config:\n        ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt\n        insecure_skip_verify: true\n      relabel_configs:\n      - source_labels: [__meta_kubernetes_namespace, __meta_kubernetes_service_name, __meta_kubernetes_endpoint_port_name]\n        separator: ;\n        regex: default;kubernetes;https\n        replacement: $1\n        action: keep\n```\n\n# Service for kube-scheduler\n```---\napiVersion: v1\nkind: Service\nmetadata:\n  annotations:\n    prometheus.io/scrape: \"true\"\n    prometheus.io/scrape_port: \"10251\"\n  namespace: kube-system\n  name: kube-scheduler-prometheus-discovery\n  labels:\n    component: kube-scheduler\nspec:\n  selector:\n    component: kube-scheduler\n  type: ClusterIP\n  clusterIP: None\n  ports:\n  - name: http-metrics\n    port: 10251\n    targetPort: 10251\n    protocol: TCP\n```\n# Service for kube-controller\n```\napiVersion: v1\nkind: Service\nmetadata:\n  annotations:\n    prometheus.io/scrape: \"true\"\n    prometheus.io/scrape_port: \"10252\"\n  namespace: kube-system\n  name: kube-controller-manager-prometheus-discovery\n  labels:\n    component: kube-controller-manager\nspec:\n  selector:\n    component: kube-controller-manager\n  type: ClusterIP\n  clusterIP: None\n  ports:\n  - name: http-metrics\n    port: 10252\n    targetPort: 10252\n    protocol: TCP\n```\n\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-09-24T13:37:23.000Z","updatedAt":"2019-09-24T13:55:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10907"},{"rel":"revisions","href":"/dashboards/10907/revisions"},{"rel":"revision","href":"/dashboards/10907/revisions/1"},{"rel":"download","href":"/dashboards/10907/revisions/1/download"},{"rel":"org","href":"/orgs/veeshall"},{"rel":"images","href":"/dashboards/10907/images"},{"rel":"thumbnails","href":"/dashboards/10907/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12382,"status":1,"statusCode":"active","orgId":81019,"orgSlug":"gkope","orgName":"Gabriel Kope","slug":"k8s-coredns","downloads":10745,"revisionId":17734,"revision":1,"name":"K8S CoreDNS","description":"A dashboard for the CoreDNS DNS server.","readme":"This dashboard shows an overview of coredns service running inside your Kubernetes Cluster.\n\nWe use the following prometheus scrap config for all service-endpoints, and it also works for core-dns.\n\n```\n    - job_name: 'kubernetes-service-endpoints'\n      kubernetes_sd_configs:\n      - role: endpoints\n      relabel_configs:\n      - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape]\n        action: keep\n        regex: true\n      - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scheme]\n        action: replace\n        target_label: __scheme__\n        regex: (https?)\n      - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_path]\n        action: replace\n        target_label: __metrics_path__\n        regex: (.+)\n      - source_labels: [__address__, __meta_kubernetes_service_annotation_prometheus_io_port]\n        action: replace\n        target_label: __address__\n        regex: ([^:]+)(?::\\d+)?;(\\d+)\n        replacement: $1:$2\n      - action: labelmap\n        regex: __meta_kubernetes_service_label_(.+)\n      - source_labels: [__meta_kubernetes_namespace]\n        action: replace\n        target_label: kubernetes_namespace\n      - source_labels: [__meta_kubernetes_service_name]\n        action: replace\n        target_label: kubernetes_name\n      - source_labels: [__meta_kubernetes_pod_name]\n        action: replace\n        target_label: kubernetes_pod_name\n      - source_labels: [__meta_kubernetes_pod_name]\n        action: replace\n        target_label: pod\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-05-29T21:52:20.000Z","updatedAt":"2020-05-29T21:54:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12382"},{"rel":"revisions","href":"/dashboards/12382/revisions"},{"rel":"revision","href":"/dashboards/12382/revisions/1"},{"rel":"download","href":"/dashboards/12382/revisions/1/download"},{"rel":"org","href":"/orgs/gkope"},{"rel":"images","href":"/dashboards/12382/images"},{"rel":"thumbnails","href":"/dashboards/12382/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15661,"status":1,"statusCode":"active","orgId":596743,"orgSlug":"leospbru","orgName":"leospbru","slug":"k8s-dashboard-en-20250125","downloads":33088034,"revisionId":35894,"revision":2,"name":"K8S Dashboard","description":"【English version】2025.01.25 Updates，kubernetesComprehensive display of 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https://grafana.com/grafana/dashboards/13105","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-02-01T18:59:00.000Z","updatedAt":"2025-06-27T00:25:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15661"},{"rel":"revisions","href":"/dashboards/15661/revisions"},{"rel":"revision","href":"/dashboards/15661/revisions/2"},{"rel":"download","href":"/dashboards/15661/revisions/2/download"},{"rel":"org","href":"/orgs/leospbru"},{"rel":"images","href":"/dashboards/15661/images"},{"rel":"thumbnails","href":"/dashboards/15661/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25233,"status":1,"statusCode":"active","orgId":1746438,"orgSlug":"syedj17","orgName":"syedj17","slug":"k8s-dashboard","downloads":3,"revisionId":40622,"revision":1,"name":"K8S Dashboard","description":"【English version】2025.01.25 Updates，kubernetesComprehensive display of resources！Includes K8S Overall Resource Overview、Microservices Resource Details、Pod Resource Details andK8SNetwork Bandwidth，Optimization 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StarsL.cn","description":"【中文版本】2024.05.13更新，kubernetes资源全面展示！包含K8S整体资源总览、微服务资源明细、Pod资源明细及K8S网络带宽，优化重要指标展示。https://grafana.com/orgs/starsliao/dashboards","readme":"### Kubernetes Grafana看板更新啦！kube-state-metrics部署与JOB配置说明\r\n### [https://mp.weixin.qq.com/s/R88DraaaS3bpm3PurzpP9g](https://mp.weixin.qq.com/s/R88DraaaS3bpm3PurzpP9g)\r\n\r\n**注意：看板中的数据源变量`origin_prometheus`，取自于Prometheus的外部系统标签：`external_labels`，可用于支持多个Prometheus接入VictoriaMetrics或Thanos等第三方存储使用remote_write方式的场景。(默认取值空，指标中无该标签不影响使用)**\r\n\r\n---\r\n\r\n#### kubernetes资源全面展示！包含K8S整体资源总览、微服务资源明细、Pod资源明细及K8S网络带宽，优化重要指标展示。\r\n### 更新说明\r\n##### v20240513\r\n1. 更新了看板的所有Panel支持最新样式,优化展示性能,已兼容Grafana10.X版本.\r\n2. 增加了K8S总体的状态条展示节点与微服务资源的统计.\r\n3. 增加了PVC的使用情况,各命名空间的CPU,内存使用曲线图.\r\n4. 优化了Pod与微服务资源明细表格的展示字段与视觉效果.\r\n5. 优化了Pod与微服务CPU与内存使用量的曲线图中可以直接展示出该资源的Limit值红线.\r\n6. 修复了Pod重启导致短时间内展示的Pod资源数据不准确的BUG.\r\n7. 调整了多个图表,曲线图的展示效果与描述,优化部分指标数据更加精准。\r\n8. 增加了各个版本的kube-state-metrics国内镜像.参考[【这里】](https://github.com/starsliao/Prometheus/tree/master/kubernetes)\r\n9. 增加了Prometheus on K8S的JOB配置说明.\r\n\r\n---\r\n\r\n### 截图\r\n#### 整体资源总览\r\n![](https://grafana.com/api/dashboards/13105/images/16207/image)\r\n![](https://grafana.com/api/dashboards/13105/images/16208/image)\r\n#### Pod资源明细\r\n![](https://grafana.com/api/dashboards/13105/images/16209/image)\r\n#### 微服务资源明细\r\n![](https://grafana.com/api/dashboards/13105/images/16210/image)\r\n\r\n### 赞赏与关注公众号【**云原生DevOps**】加入交流群（请备注：K8S），获取更多...\r\n\r\n**如果看不到图片请点击该链接：[https://starsl.cn/static/img/thanks.png](https://starsl.cn/static/img/thanks.png)**\r\n![](https://starsl.cn/static/img/thanks.png)\r\n\r\n---\r\n\r\n### 看板下载\r\n- Grafana看板ID：13105\r\n- Grafana看板地址：[https://grafana.com/grafana/dashboards/13105](https://grafana.com/grafana/dashboards/13105)\r\n- 项目仓库：[https://github.com/starsliao/Prometheus/tree/master/kubernetes](https://github.com/starsliao/Prometheus/tree/master/kubernetes)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-04T17:30:59.000Z","updatedAt":"2024-06-20T02:42:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":20,"reviewsAvgRating":4.1,"links":[{"rel":"self","href":"/dashboards/13105"},{"rel":"revisions","href":"/dashboards/13105/revisions"},{"rel":"revision","href":"/dashboards/13105/revisions/8"},{"rel":"download","href":"/dashboards/13105/revisions/8/download"},{"rel":"org","href":"/orgs/starsliao"},{"rel":"images","href":"/dashboards/13105/images"},{"rel":"thumbnails","href":"/dashboards/13105/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22082,"status":1,"statusCode":"active","orgId":1247575,"orgSlug":"mevitechindia","orgName":"mevitechindia","slug":"k8s-dashboard-en-20240513-starsl-en","downloads":952,"revisionId":34661,"revision":1,"name":"K8S 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","readme":"For usage, see the associated blog post [here](https://github.com/benjvi/benjvi.github.io/blob/master/_drafts/2021-08-24-measure-patching-cadence.markdown)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus, PostgreSQL","privacy":"public","createdAt":"2021-09-06T15:17:18.000Z","updatedAt":"2021-09-06T15:26:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14970"},{"rel":"revisions","href":"/dashboards/14970/revisions"},{"rel":"revision","href":"/dashboards/14970/revisions/1"},{"rel":"download","href":"/dashboards/14970/revisions/1/download"},{"rel":"org","href":"/orgs/bjv"},{"rel":"images","href":"/dashboards/14970/images"},{"rel":"thumbnails","href":"/dashboards/14970/thumbnails"}],"datasourceSlugs":["postgres","prometheus"]},{"id":23473,"status":1,"statusCode":"active","orgId":967249,"orgSlug":"mashiofu","orgName":"mashiofu","slug":"k8s-php-fpm","downloads":650,"revisionId":37331,"revision":3,"name":"K8s PHP-FPM","description":"A companion dashboard for https://github.com/hipages/php-fpm_exporter\r\n\r\nThe dashboard caters to Kubernetes & PHP-FPM but can be easily adjusted.","readme":"Grafana dashboard for PHP-FPM. 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Display primary [cadvisor](https://github.com/google/cadvisor/blob/master/docs/storage/prometheus.md) metrics. Rows are created dynamically via [grafana variables](https://grafana.com/docs/grafana/latest/dashboards/variables/)\r\n\r\nMetrics:\r\n\r\n- Pod CPU usage per container\r\n- Pod memory usage per container\r\n- Pod network traffic\r\n- Pod processes/threads per container\r\n- Pod CPU throttling per container\r\n- Pod OOM events","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-07-18T13:03:07.000Z","updatedAt":"2024-07-22T06:13:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21548"},{"rel":"revisions","href":"/dashboards/21548/revisions"},{"rel":"revision","href":"/dashboards/21548/revisions/3"},{"rel":"download","href":"/dashboards/21548/revisions/3/download"},{"rel":"org","href":"/orgs/andrii29"},{"rel":"images","href":"/dashboards/21548/images"},{"rel":"thumbnails","href":"/dashboards/21548/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22917,"status":1,"statusCode":"active","orgId":516394,"orgSlug":"henriy","orgName":"henriy","slug":"k8s","downloads":392,"revisionId":36208,"revision":1,"name":"k8s Resource","description":"Statistics of all k8s information","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-02-21T09:06:17.000Z","updatedAt":"2025-02-21T09:09:04.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22917"},{"rel":"revisions","href":"/dashboards/22917/revisions"},{"rel":"revision","href":"/dashboards/22917/revisions/1"},{"rel":"download","href":"/dashboards/22917/revisions/1/download"},{"rel":"org","href":"/orgs/henriy"},{"rel":"images","href":"/dashboards/22917/images"},{"rel":"thumbnails","href":"/dashboards/22917/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17375,"status":1,"statusCode":"active","orgId":739594,"orgSlug":"xroker","orgName":"xroker","slug":"k8s-resource-monitoring","downloads":106270,"revisionId":26695,"revision":1,"name":"K8s Resource Monitoring","description":"The dashboard offers a simple view of the resource consumption of the deployed pods and their impact on the cluster. The outline of requests and limits for each pod and their totals can be used as a tool to determine appropriate resource quotas for your cluster.","readme":"# Kubernetes resource monitoring Grafana dashboard\r\n[![license](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/instrumentisto/grafana-dashboard-kubernetes-prometheus/blob/master/LICENSE.md)\r\n[![prometheus](https://img.shields.io/badge/prometheus-%5E15.18.0-green.svg)](https://github.com/prometheus/prometheus)\r\n[![grafana](https://img.shields.io/badge/grafana-%5E9.2.3-green.svg)](https://github.com/grafana/grafana)\r\n[![GitHub Repo stars](https://img.shields.io/github/stars/yeusiukou/grafana-k8s-resource-monitoring?style=social)](https://github.com/yeusiukou/grafana-k8s-resource-monitoring)\r\n\r\nThe dashboard offers a simple view of the resource consumption of the deployed pods and their impact on the cluster. The outline of requests and limits for each pod and their totals can be used as a tool to determine appropriate resource quotas for your cluster.\r\n\r\n### Prerequisites\r\n[Kubernetes](http://kubernetes.io/) cluster with deployed [Prometheus](https://prometheus.io/). Prometheus will use metrics provided by:\r\n- [cAdvisor](https://github.com/google/cadvisor) (runs on each node by default)\r\n- node-exporter, kube-state-metrics - can be installed with Prometheus via the [helm chart](https://github.com/prometheus-community/helm-charts/tree/main/charts/prometheus). Managed Kubernetes clusters such as AKS can have them enabled [automatically](https://learn.microsoft.com/en-us/azure/azure-monitor/essentials/prometheus-metrics-scrape-default).\r\n\r\n### Features\r\n- List of cluster nodes and their resources: CPU, memory, filesystem.\r\n![CleanShot 2022-11-07 at 12 32 38](https://user-images.githubusercontent.com/8567013/200406399-96fbd65f-39ea-48af-a8ec-2b06bbf476d9.png)\r\n- List of the pods restarted in the selected timeframe (hover over the dots to see the exact time of the restart).\r\n- Counts of pods in each state.\r\n![CleanShot 2022-11-07 at 11 57 00](https://user-images.githubusercontent.com/8567013/200406541-f4c98d38-ede8-44db-954a-0d016fcdf9db.png)\r\n- Resource outline for each pod. Includes requests, limits and current usage stats. These metrics and the ability to filter by namespace can help calculate appropriate resource quotas for your cluster. 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language.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-09-11T18:50:44.000Z","updatedAt":"2022-09-11T19:10:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16929"},{"rel":"revisions","href":"/dashboards/16929/revisions"},{"rel":"revision","href":"/dashboards/16929/revisions/1"},{"rel":"download","href":"/dashboards/16929/revisions/1/download"},{"rel":"org","href":"/orgs/klausmu"},{"rel":"images","href":"/dashboards/16929/images"},{"rel":"thumbnails","href":"/dashboards/16929/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10492,"status":1,"statusCode":"active","orgId":262170,"orgSlug":"jianzhiunique","orgName":"jianzhiunique","slug":"kafka","downloads":1290,"revisionId":14691,"revision":3,"name":"Kafka","description":"","readme":"https://github.com/i-will-scout-ahead","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-07-08T09:12:18.000Z","updatedAt":"2019-07-11T06:18:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10492"},{"rel":"revisions","href":"/dashboards/10492/revisions"},{"rel":"revision","href":"/dashboards/10492/revisions/3"},{"rel":"download","href":"/dashboards/10492/revisions/3/download"},{"rel":"org","href":"/orgs/jianzhiunique"},{"rel":"images","href":"/dashboards/10492/images"},{"rel":"thumbnails","href":"/dashboards/10492/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24113,"status":1,"statusCode":"active","orgId":285936,"orgSlug":"arnaudlemaignen","orgName":"arnaudlemaignen","slug":"kafka","downloads":167,"revisionId":38465,"revision":1,"name":"Kafka","description":"Kafka Overview using JMX metrics.","readme":"### [Kafka](https://github.com/arnaudlemaignen/grafana-dashboards/tree/master/prometheus-ds/kafka)\r\n\r\nThis dashboard needs [kafka exporter](https://github.com/danielqsj/kafka_exporter) and the JMX agent to be activated and scraped.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-09-20T00:41:11.000Z","updatedAt":"2025-09-26T15:51:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24113"},{"rel":"revisions","href":"/dashboards/24113/revisions"},{"rel":"revision","href":"/dashboards/24113/revisions/1"},{"rel":"download","href":"/dashboards/24113/revisions/1/download"},{"rel":"org","href":"/orgs/arnaudlemaignen"},{"rel":"images","href":"/dashboards/24113/images"},{"rel":"thumbnails","href":"/dashboards/24113/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24002,"status":1,"statusCode":"active","orgId":1524755,"orgSlug":"mehmetcangulesci","orgName":"mehmetcangulesci","slug":"kafka-broker-overview","downloads":568,"revisionId":38298,"revision":1,"name":"Kafka Broker Overview","description":"Comprehensive Grafana dashboard for monitoring Kafka brokers (KRaft).","readme":"This Grafana dashboard provides a comprehensive view of **Kafka brokers** running in KRaft mode.\r\n\r\nIt visualizes JVM memory & GC, request handlers, network processors, throughput, replication traffic, request/response latencies (p95/p999), under-replicated partitions, disk I/O, and overall broker health using Prometheus.\r\n\r\nTo make this dashboard work, Prometheus must scrape metrics from the following exporters:\r\n\r\n```yaml\r\n- job_name: kafka-broker-jmx\r\n  static_configs:\r\n    - targets: [\"localhost:8080\"]\r\n\r\n- job_name: kafka-controller-jmx\r\n  static_configs:\r\n    - targets: [\"localhost:8079\"]\r\n\r\n- job_name: node-exporter\r\n  static_configs:\r\n    - targets: [\"localhost:9100\"]\r\n```\r\n\r\nThe dashboard uses two variables: `$cluster` and `$environment`.\r\nIn Prometheus queries, these map to metric labels `_cluster=\"$cluster\"` and `_environment=\"$environment\"`.\r\n\r\nUsing the dashboard is straightforward:\r\n\r\n1. Import the JSON into Grafana.\r\n2. Select your Prometheus data source.\r\n3. Map `$cluster` and `$environment` to your metric labels.\r\n4. Ensure Prometheus is scraping the exporters at ports `8080`, `8079`, and `9100`.\r\n\r\nFor updates and source files, visit the [GitHub repository](https://github.com/mehmetcangulesci/grafana-dashboards).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-09-03T20:12:50.000Z","updatedAt":"2025-09-08T08:43:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24002"},{"rel":"revisions","href":"/dashboards/24002/revisions"},{"rel":"revision","href":"/dashboards/24002/revisions/1"},{"rel":"download","href":"/dashboards/24002/revisions/1/download"},{"rel":"org","href":"/orgs/mehmetcangulesci"},{"rel":"images","href":"/dashboards/24002/images"},{"rel":"thumbnails","href":"/dashboards/24002/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14505,"status":1,"statusCode":"active","orgId":383613,"orgSlug":"opstreedevops","orgName":"opstreedevops","slug":"kafka-cluster-metrics","downloads":1059,"revisionId":21849,"revision":2,"name":"Kafka Cluster Metrics","description":"Kafka Cluster Metrics Dashboard","readme":"# Telegraf Input Plugins\r\nFollowing are the basic telegraf Configuration can be use.\r\n```\r\n[global_tags]\r\n\r\n## Contributor Information\r\n**mahesh.kumar@opstree.com**\r\n\r\n\r\n# Configuration for telegraf agent\r\n[agent]\r\n    interval = \"10s\"\r\n    debug = false\r\n    hostname = \"theone.us-central1-a.c.theone-277307.internal\"\r\n    round_interval = true\r\n    flush_interval = \"10s\"\r\n    flush_jitter = \"0s\"\r\n    collection_jitter = \"0s\"\r\n    metric_batch_size = 1000\r\n    metric_buffer_limit = 10000\r\n    quiet = false\r\n    logfile = \"/var/log/telegraf/telegraf.log\"\r\n    omit_hostname = false\r\n\r\n\r\n###############################################################################\r\n#                                  OUTPUTS                                    #\r\n###############################################################################\r\n\r\n[[outputs.prometheus_client]]\r\n    listen = \":9273\"\r\n\r\n###############################################################################\r\n#                                  INPUTS                                     #\r\n###############################################################################\r\n\r\n[[inputs.cpu]]\r\n    percpu = true\r\n[[inputs.disk]]\r\n[[inputs.io]]\r\n[[inputs.mem]]\r\n[[inputs.net]]\r\n[[inputs.system]]\r\n[[inputs.swap]]\r\n[[inputs.netstat]]\r\n[[inputs.processes]]\r\n[[inputs.kernel]]\r\n[[inputs.diskio]]\r\n[[inputs.procstat]]\r\n    user = \"root,telegraf,ubuntu\"\r\n\r\n```\r\n# Jolokia Agent Config\r\n```\r\n## Read JMX metrics through Jolokia\r\n [[inputs.jolokia2_agent]]\r\n   ## An array of Kafka servers URI to gather stats.\r\n    urls = [\"http://localhost:8778/jolokia\"]\r\n    name_prefix = \"kafka.\"\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"controller\"\r\n        mbean        = \"kafka.controller:name=*,type=*\"\r\n        field_prefix = \"$1.\"\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"controller\"\r\n        mbean        = \"kafka.consumer:type=consumer-fetch-manager-metrics,client-id=([-.w]+)\"\r\n        field_prefix = \"$1.\"\r\n        tag_keys     = [\"topic\", \"consumer\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"replica_manager\"\r\n        mbean        = \"kafka.server:name=*,type=ReplicaManager\"\r\n        field_prefix = \"$1.\"\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"server_replicafetchmanager.maxlag\"\r\n        mbean        = \"kafka.server:type=ReplicaFetcherManager,name=MaxLag,clientId=Replica\"\r\n        field_prefix = \"$1.\"\r\n        tag_keys     = [\"topic\", \"ReplicaFetcherManager\"]\r\n    \r\n    [[inputs.jolokia2_agent.metric]]\r\n        name = \"server_requesthandler_avgidlepct\"\r\n        mbean  = \"kafka.server:name=RequestHandlerAvgIdlePercent,type=KafkaRequestHandlerPool\"\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"topic\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"purgatory\"\r\n        mbean        = \"kafka.server:delayedOperation=*,name=*,type=DelayedOperationPurgatory\"\r\n        field_prefix = \"$1.\"\r\n        field_name   = \"$2\"\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"client\"\r\n        mbean        = \"kafka.server:client-id=*,type=*\"\r\n        tag_keys     = [\"client-id\", \"type\"]\r\n    \r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"server_replicafetchmanager.maxlag\"\r\n        mbean        = \"kafka.server:type=ReplicaFetcherManager,name=MaxLag,clientId=Replica\"\r\n        tag_keys     = [\"request\", \"network\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"request\"\r\n        mbean        = \"kafka.network:name=*,request=*,type=RequestMetrics\"\r\n        field_prefix = \"$1.\"\r\n        tag_keys     = [\"request\", \"network\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"network_processor_avgidlepct\"\r\n        mbean        = \"kafka.network:name=NetworkProcessorAvgIdlePercent,type=SocketServer\"\r\n        field_prefix = \"$1.\"\r\n        tag_keys     = [\"socketserver\", \"network\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"topics\"\r\n        mbean        = \"kafka.server:name=*,type=BrokerTopicMetrics\"\r\n        field_prefix = \"$1.\"\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"topic\"\r\n        mbean        = \"kafka.server:name=*,topic=*,type=BrokerTopicMetrics\"\r\n        field_prefix = \"$1.\"\r\n        tag_keys     = [\"topic\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"partition\"\r\n        mbean      = \"kafka.log:name=*,partition=*,topic=*,type=Log\"\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"topic\", \"partition\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"partition\"\r\n        mbean      = \"kafka.cluster:name=UnderReplicated,partition=*,topic=*,type=Partition\"\r\n        field_name = \"UnderReplicatedPartitions\"\r\n        tag_keys   = [\"topic\", \"partition\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"controller_activecontrollers\"\r\n        mbean      = \"kafka.controller:type=KafkaController,name=ActiveControllerCount\"\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"controller\"]\r\n    \r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"controller_offlinepartitions\"\r\n        mbean      = \"kafka.controller:type=KafkaController,name=OfflinePartitionsCount\"\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"controller\"]\r\n    \r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"controller_stats_leaderelectionrateandtime\"\r\n        mbean      = \"kafka.controller:type=ControllerStats,name=LeaderElectionRateAndTimeMs\"\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"controller\"]\r\n    \r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"controller_stats_uncleanleaderelections\"\r\n        mbean      = \"kafka.controller:type=ControllerStats,name=UncleanLeaderElectionsPerSec\"\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"controller\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"server_requesthandler_avgidlepct\"\r\n        mbean      = \"kafka.server:name=RequestHandlerAvgIdlePercent,type=KafkaRequestHandlerPool\"\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"topic\", \"requesthandler\"]\r\n\r\n    # Zookeeper Metrics\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"zookeeper_disconnects\"\r\n        mbean      = \"kafka.server:type=SessionExpireListener,name=ZooKeeperDisconnectsPerSec\"\r\n        paths      = [\"Count\",\"OneMinuteRate\",\"FiveMinuteRate\",\"FifteenMinuteRate\",\"MeanRate\"]\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"zookeeper\"]\r\n   \r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"zookeeper_sync_connects\"\r\n        mbean      = \"kafka.server:type=SessionExpireListener,name=ZooKeeperSyncConnectsPerSec\"\r\n        paths      = [\"Count\",\"OneMinuteRate\",\"FiveMinuteRate\",\"FifteenMinuteRate\",\"MeanRate\"]\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"zookeeper\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"zookeeper_auth_failures\"\r\n        mbean      = \"kafka.server:type=SessionExpireListener,name=ZooKeeperAuthFailuresPerSec\"\r\n        paths      = [\"Count\",\"OneMinuteRate\",\"FiveMinuteRate\",\"FifteenMinuteRate\",\"MeanRate\"]\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"zookeeper\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"zookeeper_readonly_connects\"\r\n        mbean      = \"kafka.server:type=SessionExpireListener,name=ZooKeeperReadOnlyConnectsPerSec\"\r\n        paths      = [\"Count\",\"OneMinuteRate\",\"FiveMinuteRate\",\"FifteenMinuteRate\",\"MeanRate\"]\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"zookeeper\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"zookeeper_authentications\"\r\n        mbean      = \"kafka.server:type=SessionExpireListener,name=ZooKeeperSaslAuthenticationsPerSec\"\r\n        paths      = [\"Count\",\"OneMinuteRate\",\"FiveMinuteRate\",\"FifteenMinuteRate\",\"MeanRate\"]\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"zookeeper\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"zookeeper_expires\"\r\n        mbean      = \"kafka.server:type=SessionExpireListener,name=ZooKeeperExpiresPerSec\"\r\n        paths      = [\"Count\",\"OneMinuteRate\",\"FiveMinuteRate\",\"FifteenMinuteRate\",\"MeanRate\"]\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"zookeeper\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"heap_memory_usage\"\r\n        mbean      = \"java.lang:type=Memory\"\r\n        paths      = [\"HeapMemoryUsage\"]\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"zookeeper\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"thread_count\"\r\n        mbean      = \"java.lang:type=Threading\"\r\n        paths      = [\"TotalStartedThreadCount\",\"ThreadCount\",\"DaemonThreadCount\",\"PeakThreadCount\"]\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"zookeeper\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"garbage_collector\"\r\n        mbean      = \"java.lang:type=GarbageCollector,name=*\"\r\n        paths      = [\"CollectionCount\",\"CollectionTime\"]\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"garbage_collector\"]\r\n\r\n```\r\n\r\n## Contributor Information\r\n**mahesh.kumar@opstree.com**","collectorType":"Telegraf","collectorConfig":"","collectorPluginList":"jolokia","datasource":"Prometheus","privacy":"public","createdAt":"2021-05-28T07:56:48.000Z","updatedAt":"2022-11-10T07:21:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14505"},{"rel":"revisions","href":"/dashboards/14505/revisions"},{"rel":"revision","href":"/dashboards/14505/revisions/2"},{"rel":"download","href":"/dashboards/14505/revisions/2/download"},{"rel":"org","href":"/orgs/opstreedevops"},{"rel":"images","href":"/dashboards/14505/images"},{"rel":"thumbnails","href":"/dashboards/14505/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12190,"status":1,"statusCode":"active","orgId":361857,"orgSlug":"hrajamohanan","orgName":"Wipro Limited","slug":"kafka-monitoring","downloads":1426,"revisionId":17355,"revision":1,"name":"Kafka Cluster Monitoring [Elasticsearch]","description":"A comprehensive Kafka cluster monitoring dashboard with Elasticsearch as the datasource. This dashboard gives real time monitoring in Broker health, consumer group stats, consumer lags and much more. ","readme":"A comprehensive Kafka cluster monitoring dashboard with Elasticsearch as the data source. This dashboard gives real time monitoring in Broker health, consumer group stats, consumer lags, errors and much more. The panels are grouped as below metric rows.\r\n1. Kafka Brokers\r\n2. Consumers\r\n3. Topics\r\n4. Errors\r\n \r\nThis dashboard uses Elasticsearch 7.6 or higher as the datasource. This dashboard work with metrics collected using metricbeat 7.6 or higher. Elasticsearch introduced the consumer lag collect feature in 7.6 and that's the reason for my recommendation on this version or higher. Configure metricbeat in each Kafka broker instances and send the metrics to an Elasticsearch. Dashboard has been tested with a 3 node Kafka cluster running in AWS ubuntu 18.0LTS.\r\n\r\n\r\n\r\n","collectorType":"Beats","collectorConfig":"This dashboard work with metrics collected using metricbeat 7.6 or higher. Elasticsearch introduced the consumer lag collect feature in 7.6 and that's the reason for my recommendation on this version or higher.","collectorPluginList":"Metricbeat","datasource":"Elasticsearch","privacy":"public","createdAt":"2020-04-27T09:24:01.000Z","updatedAt":"2020-05-07T06:10:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/12190"},{"rel":"revisions","href":"/dashboards/12190/revisions"},{"rel":"revision","href":"/dashboards/12190/revisions/1"},{"rel":"download","href":"/dashboards/12190/revisions/1/download"},{"rel":"org","href":"/orgs/hrajamohanan"},{"rel":"images","href":"/dashboards/12190/images"},{"rel":"thumbnails","href":"/dashboards/12190/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":12514,"status":1,"statusCode":"active","orgId":394131,"orgSlug":"frizyrusty","orgName":"frizyrusty","slug":"kafka-cluster-monitoring-elasticsearch","downloads":348,"revisionId":17972,"revision":1,"name":"Kafka Cluster Monitoring [Elasticsearch]","description":"A comprehensive Kafka cluster monitoring dashboard with Elasticsearch as the datasource. This dashboard gives real time monitoring in Broker health, consumer group stats, consumer lags and much more. ","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2020-06-22T05:11:26.000Z","updatedAt":"2020-06-22T05:12:37.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12514"},{"rel":"revisions","href":"/dashboards/12514/revisions"},{"rel":"revision","href":"/dashboards/12514/revisions/1"},{"rel":"download","href":"/dashboards/12514/revisions/1/download"},{"rel":"org","href":"/orgs/frizyrusty"},{"rel":"images","href":"/dashboards/12514/images"},{"rel":"thumbnails","href":"/dashboards/12514/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":25106,"status":1,"statusCode":"active","orgId":1715070,"orgSlug":"factorhouse","orgName":"factorhouse","slug":"kafka-connect","downloads":34,"revisionId":40366,"revision":1,"name":"Kafka Connect","description":"Instant visual feedback for Kafka Connect integration health, tracking individual Connector and Task states using Kpow's telemetry.","readme":"Factor House is a leader in real-time data tooling, empowering engineers with innovative solutions for Apache Kafka® and Apache Flink®.\r\n\r\nOur flagship product, [Kpow for Apache Kafka](https://factorhouse.io/products/kpow), is the market-leading enterprise solution for Kafka management and monitoring.\r\n\r\n## Kafka Connect Operations\r\n\r\nData pipeline reliability depends heavily on integration health. This dashboard targets Kafka Connect deployments, replacing tedious API queries with instant visual feedback.\r\n\r\nIt tracks aggregate summary statistics alongside individual Connector and Task states. By mapping state labels directly to distinct visual alerts (RUNNING, PAUSED, FAILED, UNASSIGNED, UNREACHABLE), teams can immediately detect stalled integrations and isolate whether the failure exists at the connector or task level.\r\n\r\n### Getting Started\r\n\r\nThis dashboard relies on [**Kpow's Prometheus integration**](https://docs.factorhouse.io/kpow/integration/prometheus/overview). It does not require JMX sidecars or complex Exporters. \r\n\r\nTo use this dashboard:\r\n1. Ensure your Prometheus instance (or Grafana Cloud Metrics Endpoint) is configured to scrape your Kpow telemetry endpoints (e.g., `/metrics/v1`). \r\n2. Import this dashboard template.\r\n3. Select your Prometheus data source from the dropdown when prompted. \r\n\r\nFor full setup instructions and to explore our other Kafka dashboards, visit the [Factor Telemetry GitHub Repository](https://github.com/factorhouse/factor-telemetry).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-02T04:38:39.000Z","updatedAt":"2026-04-07T23:24:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25106"},{"rel":"revisions","href":"/dashboards/25106/revisions"},{"rel":"revision","href":"/dashboards/25106/revisions/1"},{"rel":"download","href":"/dashboards/25106/revisions/1/download"},{"rel":"org","href":"/orgs/factorhouse"},{"rel":"images","href":"/dashboards/25106/images"},{"rel":"thumbnails","href":"/dashboards/25106/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16088,"status":1,"statusCode":"active","orgId":296836,"orgSlug":"alvarobacelar","orgName":"alvarobacelar","slug":"kafka-consumer","downloads":6309,"revisionId":24409,"revision":1,"name":"Kafka Consumer","description":"spring-kafka metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-04-10T14:40:57.000Z","updatedAt":"2022-04-10T14:47:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16088"},{"rel":"revisions","href":"/dashboards/16088/revisions"},{"rel":"revision","href":"/dashboards/16088/revisions/1"},{"rel":"download","href":"/dashboards/16088/revisions/1/download"},{"rel":"org","href":"/orgs/alvarobacelar"},{"rel":"images","href":"/dashboards/16088/images"},{"rel":"thumbnails","href":"/dashboards/16088/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25105,"status":1,"statusCode":"active","orgId":1715070,"orgSlug":"factorhouse","orgName":"factorhouse","slug":"kafka-consumer-group","downloads":28,"revisionId":40365,"revision":1,"name":"Kafka Consumer Group","description":"Micro-level SLA monitoring for Apache Kafka consumer groups, tracking exact lag and real-time consumption rates using Kpow's telemetry.","readme":"Factor House is a leader in real-time data tooling, empowering engineers with innovative solutions for Apache Kafka® and Apache Flink®.\r\n\r\nOur flagship product, [Kpow for Apache Kafka](https://factorhouse.io/products/kpow), is the market-leading enterprise solution for Kafka management and monitoring.\r\n\r\n## Kafka Consumer Group Deep Dive\r\n\r\nDesigned for Application Teams, this dashboard focuses on micro-level Service Level Agreement (SLA) monitoring.\r\n\r\nInstead of generic host metrics, it visualizes the exact state of your data consumption. Key metrics include precise total lag (`group_offset_lag`) and real-time consumption rates (`group_offset_delta`). It details total assigned members and hosts, and features a clear status table tracking the exact state of every consumer group to help engineers spot stalling applications before downstream users are impacted.\r\n\r\n### Getting Started\r\n\r\nThis dashboard relies on [**Kpow's Prometheus integration**](https://docs.factorhouse.io/kpow/integration/prometheus/overview). It does not require JMX sidecars or complex Exporters. \r\n\r\nTo use this dashboard:\r\n1. Ensure your Prometheus instance (or Grafana Cloud Metrics Endpoint) is configured to scrape your Kpow telemetry endpoints (e.g., `/metrics/v1`). \r\n2. Import this dashboard template.\r\n3. Select your Prometheus data source from the dropdown when prompted. \r\n\r\nFor full setup instructions and to explore our other Kafka dashboards, visit the [Factor Telemetry GitHub Repository](https://github.com/factorhouse/factor-telemetry).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-02T04:37:14.000Z","updatedAt":"2026-04-07T23:25:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25105"},{"rel":"revisions","href":"/dashboards/25105/revisions"},{"rel":"revision","href":"/dashboards/25105/revisions/1"},{"rel":"download","href":"/dashboards/25105/revisions/1/download"},{"rel":"org","href":"/orgs/factorhouse"},{"rel":"images","href":"/dashboards/25105/images"},{"rel":"thumbnails","href":"/dashboards/25105/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20535,"status":1,"statusCode":"active","orgId":1057633,"orgSlug":"polambegedaramalitherangaalaw","orgName":"polambegedaramalitherangaalaw","slug":"kafka-consumer-offsets","downloads":293,"revisionId":31721,"revision":1,"name":"Kafka Consumer Offsets","description":"Kafka Consumer Offsets for Redpanda","readme":"It shows the kafka deviation with the offset.\r\nHere it illustrates how the kafka offset monitoring can be performed with relevant to the performance.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-02-20T18:04:49.000Z","updatedAt":"2024-02-20T18:09:55.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20535"},{"rel":"revisions","href":"/dashboards/20535/revisions"},{"rel":"revision","href":"/dashboards/20535/revisions/1"},{"rel":"download","href":"/dashboards/20535/revisions/1/download"},{"rel":"org","href":"/orgs/polambegedaramalitherangaalaw"},{"rel":"images","href":"/dashboards/20535/images"},{"rel":"thumbnails","href":"/dashboards/20535/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16307,"status":1,"statusCode":"active","orgId":650124,"orgSlug":"jiangxinlingdu","orgName":"jiangxinlingdu","slug":"kafka-core-overview","downloads":606,"revisionId":24841,"revision":2,"name":"kafka core overview","description":"kafka core metrics overview","readme":"kafka core metrics overview","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-05-20T08:03:59.000Z","updatedAt":"2022-05-23T06:05:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/16307"},{"rel":"revisions","href":"/dashboards/16307/revisions"},{"rel":"revision","href":"/dashboards/16307/revisions/2"},{"rel":"download","href":"/dashboards/16307/revisions/2/download"},{"rel":"org","href":"/orgs/jiangxinlingdu"},{"rel":"images","href":"/dashboards/16307/images"},{"rel":"thumbnails","href":"/dashboards/16307/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12460,"status":1,"statusCode":"active","orgId":391681,"orgSlug":"fangqiuser","orgName":"fangqiuser","slug":"kafka-export","downloads":5440,"revisionId":17866,"revision":1,"name":"Kafka Dashboard","description":"kafka_export dashboard","readme":"需要先运行Kafka_export，并且prometheus能成功获取到数据，即可成功展示数据。","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-06-12T09:29:43.000Z","updatedAt":"2020-06-12T09:37:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12460"},{"rel":"revisions","href":"/dashboards/12460/revisions"},{"rel":"revision","href":"/dashboards/12460/revisions/1"},{"rel":"download","href":"/dashboards/12460/revisions/1/download"},{"rel":"org","href":"/orgs/fangqiuser"},{"rel":"images","href":"/dashboards/12460/images"},{"rel":"thumbnails","href":"/dashboards/12460/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10555,"status":1,"statusCode":"active","orgId":265048,"orgSlug":"hanwang","orgName":"hanwang","slug":"kafka-dashboard","downloads":1164,"revisionId":14754,"revision":1,"name":"Kafka Dashboard","description":"Example of an Kafka Dashboard for DC/OS 1.12\nUse Promethues datasource","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-07-18T01:48:21.000Z","updatedAt":"2019-07-18T01:49:19.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/10555"},{"rel":"revisions","href":"/dashboards/10555/revisions"},{"rel":"revision","href":"/dashboards/10555/revisions/1"},{"rel":"download","href":"/dashboards/10555/revisions/1/download"},{"rel":"org","href":"/orgs/hanwang"},{"rel":"images","href":"/dashboards/10555/images"},{"rel":"thumbnails","href":"/dashboards/10555/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14656,"status":1,"statusCode":"active","orgId":485948,"orgSlug":"sahanrathnayake","orgName":"sahanrathnayake","slug":"kafka-dashboard","downloads":2100,"revisionId":21750,"revision":1,"name":"Kafka Dashboard","description":"Kafka resource usage and throughput","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-07-01T15:16:52.000Z","updatedAt":"2021-07-01T15:17:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14656"},{"rel":"revisions","href":"/dashboards/14656/revisions"},{"rel":"revision","href":"/dashboards/14656/revisions/1"},{"rel":"download","href":"/dashboards/14656/revisions/1/download"},{"rel":"org","href":"/orgs/sahanrathnayake"},{"rel":"images","href":"/dashboards/14656/images"},{"rel":"thumbnails","href":"/dashboards/14656/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18276,"status":1,"statusCode":"active","orgId":683756,"orgSlug":"bauk","orgName":"bauk","slug":"kafka-dashboard","downloads":8461,"revisionId":28050,"revision":1,"name":"Kafka Dashboard","description":"Kafka resource usage and consumer lag overview","readme":"## 使用jmx_exporter对kafka进行监控\n## Use jmx_exporter to collect Kafka metrics\n\n导入jmx_prometheus_javaagent-0.18.0.jar和config.yml\n\nUse jmx_prometheus_javaagent-0.18.0.jar and edit config.yml\n\nwindows启动kafka-javaagent startwithagent.bat的启动脚本\n\nEdit kafka-javaagent startwithagent.bat for Windows system to start kafka,\nSuch as:\n\n```powershell\nSET KAFKA_HOME=E:\\kafka_2.12-2.8.1\nSET KAFKA_OPTS=-javaagent:%KAFKA_HOME%\\jmx_prometheus_javaagent-0.18.0.jar=6660:%KAFKA_HOME%\\config.yml\n\ncd %KAFKA_HOME%\\bin\\windows\n\nkafka-server-start.bat %KAFKA_HOME%\\config\\server.properties\n```\n\nconfig.yml内容（如果不添加任何指定监控项为默认值）：\n\n\n```yaml\nlowercaseOutputName: true\n\nrules:\n# Special cases and very specific rules\n- pattern : kafka.server<type=(.+), name=(.+), clientId=(.+), topic=(.+), partition=(.*)><>Value\n  name: kafka_server_$1_$2\n  type: GAUGE\n  labels:\n    clientId: \"$3\"\n    topic: \"$4\"\n    partition: \"$5\"\n- pattern : kafka.server<type=(.+), name=(.+), clientId=(.+), brokerHost=(.+), brokerPort=(.+)><>Value\n  name: kafka_server_$1_$2\n  type: GAUGE\n  labels:\n    clientId: \"$3\"\n    broker: \"$4:$5\"\n- pattern : kafka.coordinator.(\\w+)<type=(.+), name=(.+)><>Value\n  name: kafka_coordinator_$1_$2_$3\n  type: GAUGE\n\n# Generic per-second counters with 0-2 key/value pairs\n- pattern: kafka.(\\w+)<type=(.+), name=(.+)PerSec\\w*, (.+)=(.+), (.+)=(.+)><>Count\n  name: kafka_$1_$2_$3_total\n  type: COUNTER\n  labels:\n    \"$4\": \"$5\"\n    \"$6\": \"$7\"\n- pattern: kafka.(\\w+)<type=(.+), name=(.+)PerSec\\w*, (.+)=(.+)><>Count\n  name: kafka_$1_$2_$3_total\n  type: COUNTER\n  labels:\n    \"$4\": \"$5\"\n- pattern: kafka.(\\w+)<type=(.+), name=(.+)PerSec\\w*><>Count\n  name: kafka_$1_$2_$3_total\n  type: COUNTER\n\n- pattern: kafka.server<type=(.+), client-id=(.+)><>([a-z-]+)\n  name: kafka_server_quota_$3\n  type: GAUGE\n  labels:\n    resource: \"$1\"\n    clientId: \"$2\"\n\n- pattern: kafka.server<type=(.+), user=(.+), client-id=(.+)><>([a-z-]+)\n  name: kafka_server_quota_$4\n  type: GAUGE\n  labels:\n    resource: \"$1\"\n    user: \"$2\"\n    clientId: \"$3\"\n\n# Generic gauges with 0-2 key/value pairs\n- pattern: kafka.(\\w+)<type=(.+), name=(.+), (.+)=(.+), (.+)=(.+)><>Value\n  name: kafka_$1_$2_$3\n  type: GAUGE\n  labels:\n    \"$4\": \"$5\"\n    \"$6\": \"$7\"\n- pattern: kafka.(\\w+)<type=(.+), name=(.+), (.+)=(.+)><>Value\n  name: kafka_$1_$2_$3\n  type: GAUGE\n  labels:\n    \"$4\": \"$5\"\n- pattern: kafka.(\\w+)<type=(.+), name=(.+)><>Value\n  name: kafka_$1_$2_$3\n  type: GAUGE\n\n# Emulate Prometheus 'Summary' metrics for the exported 'Histogram's.\n#\n# Note that these are missing the '_sum' metric!\n- pattern: kafka.(\\w+)<type=(.+), name=(.+), (.+)=(.+), (.+)=(.+)><>Count\n  name: kafka_$1_$2_$3_count\n  type: COUNTER\n  labels:\n    \"$4\": \"$5\"\n    \"$6\": \"$7\"\n- pattern: kafka.(\\w+)<type=(.+), name=(.+), (.+)=(.*), (.+)=(.+)><>(\\d+)thPercentile\n  name: kafka_$1_$2_$3\n  type: GAUGE\n  labels:\n    \"$4\": \"$5\"\n    \"$6\": \"$7\"\n    quantile: \"0.$8\"\n- pattern: kafka.(\\w+)<type=(.+), name=(.+), (.+)=(.+)><>Count\n  name: kafka_$1_$2_$3_count\n  type: COUNTER\n  labels:\n    \"$4\": \"$5\"\n- pattern: kafka.(\\w+)<type=(.+), name=(.+), (.+)=(.*)><>(\\d+)thPercentile\n  name: kafka_$1_$2_$3\n  type: GAUGE\n  labels:\n    \"$4\": \"$5\"\n    quantile: \"0.$6\"\n- pattern: kafka.(\\w+)<type=(.+), name=(.+)><>Count\n  name: kafka_$1_$2_$3_count\n  type: COUNTER\n- pattern: kafka.(\\w+)<type=(.+), name=(.+)><>(\\d+)thPercentile\n  name: kafka_$1_$2_$3\n  type: GAUGE\n  labels:\n    quantile: \"0.$4\"\t\n```\n\n\n\nlinux启动添加类似脚本或者改动启动文件：\nEdit `start.sh`:\n\n```shell\nKAFKA_HOME=/xxx/kafka_2.12-2.8.1\nexport KAFKA_OPTS=-javaagent:$KAFKA_HOME/jmx_prometheus_javaagent-0.18.0.jar=6660:$KAFKA_HOME/config.yml\n\n$KAFKA_HOME/bin/kafka-server-start.sh -daemon $KAFKA_HOME/config/server.properties\n```\n\n## 添加配置至prometheus\n## Edit prometheus.yml\n​\t在prometheus.yml文件中添加：\n\n```yaml\n- job_name: \"kafka-jmx\"\n\n  # metrics_path defaults to '/metrics'\n  # scheme defaults to 'http'.\n\n  static_configs:\n    - targets: [\"{Prometheus Server}:6660\"]\t\n```\n\n\n访问{Prometheus Server}6660/metrics查看指标    \nView http://{Prometheus Server}6660/metrics to checkout Kafka metrics\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-14T05:37:07.000Z","updatedAt":"2023-04-10T07:59:04.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18276"},{"rel":"revisions","href":"/dashboards/18276/revisions"},{"rel":"revision","href":"/dashboards/18276/revisions/1"},{"rel":"download","href":"/dashboards/18276/revisions/1/download"},{"rel":"org","href":"/orgs/bauk"},{"rel":"images","href":"/dashboards/18276/images"},{"rel":"thumbnails","href":"/dashboards/18276/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24626,"status":1,"statusCode":"active","orgId":1567510,"orgSlug":"abdelrahmanelshahat","orgName":"abdelrahmanelshahat","slug":"strimzi-kafka-dashboard-with-jvm-metrics","downloads":1376,"revisionId":39455,"revision":1,"name":"Kafka Dashboard","description":"Comprehensive Grafana dashboard for monitoring Apache Kafka clusters deployed with Strimzi Operator on Kubernetes. Works out-of-the-box with standard JMX Prometheus Exporter metrics (java_lang_*). Includes JVM metrics, broker performance, disk space, and cluster health monitoring. Compatible with KRaft mode.","readme":"# Strimzi Kafka Dashboard with JVM Metrics\r\n\r\nA comprehensive Grafana dashboard for monitoring Apache Kafka clusters deployed with the **Strimzi Kafka Operator** on Kubernetes.\r\n\r\n> **Note:** This dashboard is a modified version of the [official Strimzi Kafka dashboard](https://github.com/strimzi/strimzi-kafka-operator/blob/main/examples/metrics/grafana-dashboards/strimzi-kafka.json). The main changes include:\r\n> - Updated JVM metric queries to use `java_lang_*` metrics (the default output from JMX Prometheus Exporter)\r\n> - Fixed label selectors to work with standard PodMonitor configurations\r\n> - Simplified pod/namespace filtering for better out-of-the-box compatibility\r\n\r\n---\r\n\r\n## What This Dashboard Shows\r\n\r\n### Cluster Health Overview\r\n- **Brokers Online** - Number of active Kafka broker nodes\r\n- **Active Controllers** - Number of active controllers (should be 1 in KRaft mode)\r\n- **Online Replicas** - Total partition replicas across all brokers\r\n- **Under Replicated Partitions** - Partitions with fewer replicas than configured\r\n- **Partitions at Minimum ISR** - Partitions at their minimum in-sync replica count\r\n- **Offline Partitions** - Partitions without an active leader\r\n\r\n### JVM Metrics\r\n- **JVM Memory Used** - Heap memory usage per broker (`java_lang_memory_heapmemoryusage_used`)\r\n- **JVM GC Time** - Garbage collection time (`java_lang_g1_young_generation_collectiontime`)\r\n- **JVM GC Count** - Garbage collection frequency (`java_lang_g1_young_generation_collectioncount`)\r\n- **JVM Thread Count** - Active JVM threads per broker (`java_lang_threading_threadcount`)\r\n\r\n### Broker Performance\r\n- **Incoming/Outgoing Byte Rate** - Network throughput per broker and topic\r\n- **Incoming Messages Rate** - Message ingestion rate\r\n- **Produce/Fetch Request Rates** - Client request metrics\r\n- **Failed Produce/Fetch Requests** - Error tracking\r\n\r\n### System Resources\r\n- **Memory Usage** - Container memory consumption\r\n- **CPU Usage** - Container CPU utilization\r\n- **Available Disk Space** - PVC storage availability\r\n- **Open File Descriptors** - File handle usage\r\n\r\n### Network & Performance\r\n- **Network Processor Idle %** - Network thread utilization\r\n- **Request Handler Idle %** - Request processing capacity\r\n- **Disk Read/Write Bytes** - Storage I/O metrics\r\n- **Connection Count** - Active client connections\r\n- **Log Size** - Topic/partition storage usage\r\n\r\n---\r\n\r\n## Key Modifications from Official Dashboard\r\n\r\n| Original Query | Modified Query |\r\n|----------------|----------------|\r\n| `jvm_memory_used_bytes` | `java_lang_memory_heapmemoryusage_used` |\r\n| `jvm_threads_current` | `java_lang_threading_threadcount` |\r\n| `jvm_gc_collection_seconds_count` | `java_lang_g1_young_generation_collectioncount` |\r\n| `jvm_gc_collection_seconds_sum` | `java_lang_g1_young_generation_collectiontime` |\r\n| `kubernetes_pod_name` label | `pod` label |\r\n| Complex `strimzi_io_*` label filters | Simplified namespace-based filters |\r\n\r\n---\r\n\r\n## How Metrics Are Collected\r\n\r\nThis dashboard uses metrics from the **JMX Prometheus Exporter** built into Strimzi Kafka pods. The exporter converts JMX MBeans to Prometheus format and exposes them on port `9404`.\r\n\r\n### Metric Sources\r\n\r\n| Metric Prefix | Source | Description |\r\n|---------------|--------|-------------|\r\n| `kafka_*` | Kafka JMX MBeans | Broker, controller, and cluster metrics |\r\n| `java_lang_*` | JVM JMX MBeans | Memory, GC, threading metrics |\r\n| `container_*` | cAdvisor | Container resource usage |\r\n| `kubelet_volume_stats_*` | Kubelet | PVC disk space metrics |\r\n\r\n---\r\n\r\n## Prerequisites\r\n\r\n- **Strimzi Kafka Operator** v0.38+ installed on Kubernetes\r\n- **Prometheus Operator** for metrics collection\r\n- Apache Kafka 3.x or 4.x (KRaft mode supported)\r\n\r\n---\r\n\r\n## Setup Instructions\r\n\r\n### 1. Enable Metrics in Strimzi Kafka\r\n\r\nAdd `metricsConfig` to your Kafka custom resource:\r\n\r\n```yaml\r\napiVersion: kafka.strimzi.io/v1beta2\r\nkind: Kafka\r\nmetadata:\r\n  name: my-cluster\r\nspec:\r\n  kafka:\r\n    version: 4.0.0\r\n    metricsConfig:\r\n      type: jmxPrometheusExporter\r\n      valueFrom:\r\n        configMapKeyRef:\r\n          name: kafka-metrics\r\n          key: kafka-metrics-config.yml\r\n```\r\n\r\n### 2. Create the Metrics ConfigMap\r\n\r\n```yaml\r\napiVersion: v1\r\nkind: ConfigMap\r\nmetadata:\r\n  name: kafka-metrics\r\n  namespace: kafka\r\ndata:\r\n  kafka-metrics-config.yml: |\r\n    lowercaseOutputName: true\r\n    rules:\r\n    # Kafka broker metrics\r\n    - pattern: kafka.server<type=(.+), name=(.+), clientId=(.+), topic=(.+), partition=(.*)><>Value\r\n      name: kafka_server_$1_$2\r\n      type: GAUGE\r\n      labels:\r\n        clientId: \"$3\"\r\n        topic: \"$4\"\r\n        partition: \"$5\"\r\n    - pattern: kafka.(\\w+)<type=(.+), name=(.+)PerSec\\w*><>Count\r\n      name: kafka_$1_$2_$3_total\r\n      type: COUNTER\r\n    - pattern: kafka.(\\w+)<type=(.+), name=(.+)><>Value\r\n      name: kafka_$1_$2_$3\r\n      type: GAUGE\r\n    # Catch all remaining metrics\r\n    - pattern: \"kafka.*\"\r\n    - pattern: \"java.lang<.*>\"\r\n```\r\n\r\n### 3. Create a PodMonitor for Prometheus\r\n\r\n```yaml\r\napiVersion: monitoring.coreos.com/v1\r\nkind: PodMonitor\r\nmetadata:\r\n  name: kafka-metrics\r\n  namespace: monitoring\r\n  labels:\r\n    release: prometheus  # Match your Prometheus selector\r\nspec:\r\n  namespaceSelector:\r\n    matchNames:\r\n      - kafka\r\n  selector:\r\n    matchLabels:\r\n      strimzi.io/kind: Kafka\r\n  podMetricsEndpoints:\r\n    - port: tcp-prometheus\r\n      path: /metrics\r\n      interval: 30s\r\n```\r\n\r\n### 4. Import the Dashboard\r\n\r\n1. Go to Grafana → **Dashboards** → **Import**\r\n2. Upload this JSON file or paste the dashboard ID\r\n3. Select your **Prometheus** data source\r\n4. Set the **Namespace** variable to your Kafka namespace (e.g., `kafka`)\r\n\r\n---\r\n\r\n## Dashboard Variables\r\n\r\n| Variable | Description | Default |\r\n|----------|-------------|---------|\r\n| `datasource` | Prometheus data source | - |\r\n| `kubernetes_namespace` | Kubernetes namespace | kafka |\r\n| `strimzi_cluster_name` | Strimzi cluster name | - |\r\n| `kafka_broker` | Filter by broker | All |\r\n| `kafka_topic` | Filter by topic | All |\r\n| `kafka_partition` | Filter by partition | All |\r\n\r\n---\r\n\r\n## Compatibility\r\n\r\n- ✅ Strimzi Kafka Operator v0.38+\r\n- ✅ Apache Kafka 3.x / 4.x\r\n- ✅ KRaft mode (no ZooKeeper)\r\n- ✅ Kubernetes with Prometheus Operator\r\n- ✅ Grafana 9.0+\r\n\r\n---\r\n\r\n\r\n\r\n## Credits\r\n\r\n- Original dashboard by [Strimzi Project](https://strimzi.io/)\r\n- Modified for `java_lang_*` JVM metrics compatibility\r\n\r\n---\r\n\r\n## Links\r\n\r\n- [Strimzi Documentation](https://strimzi.io/docs/)\r\n- [Strimzi GitHub Repository](https://github.com/strimzi/strimzi-kafka-operator)\r\n- [Official Strimzi Dashboards](https://github.com/strimzi/strimzi-kafka-operator/tree/main/examples/metrics/grafana-dashboards)\r\n- [Prometheus JMX Exporter](https://github.com/prometheus/jmx_exporter)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-12-31T09:51:02.000Z","updatedAt":"2026-01-04T10:25:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24626"},{"rel":"revisions","href":"/dashboards/24626/revisions"},{"rel":"revision","href":"/dashboards/24626/revisions/1"},{"rel":"download","href":"/dashboards/24626/revisions/1/download"},{"rel":"org","href":"/orgs/abdelrahmanelshahat"},{"rel":"images","href":"/dashboards/24626/images"},{"rel":"thumbnails","href":"/dashboards/24626/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21078,"status":1,"statusCode":"active","orgId":210798,"orgSlug":"starsliao","orgName":"StarsL.cn","slug":"kafka-dashboard-cn-20240520-starsl-cn","downloads":2193,"revisionId":32819,"revision":2,"name":"KAFKA Dashboard CN 20240520 StarsL.cn","description":"【中文版本】2024.05.20更新，基于Prometheus的kafka_exporter，KAFKA资源全面展示！包括KAFKA整体的资源状态，生产者与消费者关系，消息积压的明细信息，生产与消费的速率，以及各分区的积压与消费明细。https://grafana.com/orgs/starsliao/dashboards","readme":"### KAFKA监控一条龙：史上最强Kafka看板+监控配置与告警规则 \r\n### [https://mp.weixin.qq.com/s/ZG3DjRoJ3IDeln-_KbvTDQ](https://mp.weixin.qq.com/s/ZG3DjRoJ3IDeln-_KbvTDQ)\r\n\r\n---\r\n\r\n### KAFKA Grafana Dashboard\r\n##### 【中文版本】2024.05.20更新，基于Prometheus的kafka_exporter，KAFKA资源展示、问题排查、快速积压分析！\r\n- 看板的所有Panel支持最新样式,优化展示性能,已兼容Grafana10.X版本.\r\n- 包括KAFKA整体的资源状态，\r\n- 生产者与消费者关系\r\n- 消息积压的明细信息\r\n- 生产与消费的速率\r\n- 异常的消费与Topic展示\r\n- 分区级别的积压与消费明细\r\n\r\n### 赞赏与关注公众号【**云原生DevOps**】加入交流群（请备注：kafka），获取更多...\r\n\r\n**如果看不到图片请点击该链接：[https://starsl.cn/static/img/thanks.png](https://starsl.cn/static/img/thanks.png)**\r\n![](https://starsl.cn/static/img/thanks.png)\r\n### 截图\r\n- 全局信息、消费者与Topic、异常与积压分析\r\n![](https://grafana.com/api/dashboards/21078/images/16236/image)\r\n- 分区维度明细\r\n![](https://grafana.com/api/dashboards/21078/images/16237/image)\r\n### 看板下载\r\n- Grafana看板ID：21078\r\n- Grafana看板地址：[https://grafana.com/grafana/dashboards/21078](https://grafana.com/grafana/dashboards/21078)\r\n- 项目仓库：[https://github.com/starsliao/Prometheus/tree/master/kafka](https://github.com/starsliao/Prometheus/tree/master/kafka)\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-05-15T17:50:48.000Z","updatedAt":"2024-05-19T16:14:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21078"},{"rel":"revisions","href":"/dashboards/21078/revisions"},{"rel":"revision","href":"/dashboards/21078/revisions/2"},{"rel":"download","href":"/dashboards/21078/revisions/2/download"},{"rel":"org","href":"/orgs/starsliao"},{"rel":"images","href":"/dashboards/21078/images"},{"rel":"thumbnails","href":"/dashboards/21078/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25103,"status":1,"statusCode":"active","orgId":1715070,"orgSlug":"factorhouse","orgName":"factorhouse","slug":"kafka-environment","downloads":24,"revisionId":40363,"revision":1,"name":"Kafka Environment Health","description":"A high-level macro view of Apache Kafka cluster stability, capacity, and operational health using Kpow's high-fidelity telemetry.","readme":"Factor House is a leader in real-time data tooling, empowering engineers with innovative solutions for Apache Kafka® and Apache Flink®.\r\n\r\nOur flagship product, [Kpow for Apache Kafka](https://factorhouse.io/products/kpow), is the market-leading enterprise solution for Kafka management and monitoring.\r\n\r\n## Kafka Environment Health\r\n\r\nDesigned for Platform Teams, this dashboard provides a high-level macro view of overall cluster stability and capacity.\r\n\r\nRather than relying on raw byte counts, it surfaces derived operational health indicators. It tracks total online brokers, overall data on disk, total topics, and total consumer groups. It also visualizes cluster-wide production and consumption rates, and provides a detailed breakdown of topic activity and consumer group health (Stable, Rebalancing, Empty) to give you an instant read on the environment's status.\r\n\r\n### Getting Started\r\n\r\nThis dashboard relies on [**Kpow's Prometheus integration**](https://docs.factorhouse.io/kpow/integration/prometheus/overview). It does not require JMX sidecars or complex Exporters. \r\n\r\nTo use this dashboard:\r\n1. Ensure your Prometheus instance (or Grafana Cloud Metrics Endpoint) is configured to scrape your Kpow telemetry endpoints (e.g., `/metrics/v1`). \r\n2. Import this dashboard template.\r\n3. Select your Prometheus data source from the dropdown when prompted. \r\n\r\nFor full setup instructions and to explore our other Kafka dashboards, visit the [Factor Telemetry GitHub Repository](https://github.com/factorhouse/factor-telemetry).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-02T04:28:31.000Z","updatedAt":"2026-04-07T23:25:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25103"},{"rel":"revisions","href":"/dashboards/25103/revisions"},{"rel":"revision","href":"/dashboards/25103/revisions/1"},{"rel":"download","href":"/dashboards/25103/revisions/1/download"},{"rel":"org","href":"/orgs/factorhouse"},{"rel":"images","href":"/dashboards/25103/images"},{"rel":"thumbnails","href":"/dashboards/25103/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23757,"status":1,"statusCode":"active","orgId":1487851,"orgSlug":"rvgud","orgName":"rvgud","slug":"kafka-exporter","downloads":352,"revisionId":37785,"revision":1,"name":"Kafka Exporter","description":"This Grafana dashboard visualizes key Kafka metrics collected via the rvgud/kafka-exporter — a custom high-performance Prometheus exporter optimized for speed by pre-fetching and caching Kafka data.\r\n\r\nThe dashboard provides insights into broker availability, topic and partition distribution, consumer group performance, lag trends, and replication health. 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Dashboard","description":"Kafka resource usage and throughput","readme":"# kafka-exporter metrics dashboard\r\nBased kafka-exporter github: `https://github.com/intfish123/kafka_exporter`  \r\nThe kafka-exporter docker image: `docker pull intfish/kafka-exporter:v1.7.1` ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-06-09T10:54:48.000Z","updatedAt":"2023-06-09T10:55:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18941"},{"rel":"revisions","href":"/dashboards/18941/revisions"},{"rel":"revision","href":"/dashboards/18941/revisions/1"},{"rel":"download","href":"/dashboards/18941/revisions/1/download"},{"rel":"org","href":"/orgs/intfish"},{"rel":"images","href":"/dashboards/18941/images"},{"rel":"thumbnails","href":"/dashboards/18941/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7589,"status":1,"statusCode":"active","orgId":150231,"orgSlug":"chenwumail","orgName":"jack chen","slug":"kafka-exporter-overview","downloads":229822,"revisionId":10352,"revision":5,"name":"Kafka Exporter Overview","description":"Kafka resource usage and throughput","readme":"dashboard for kafka_exporter. issue 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[technicityworks/prometheus-kafka-exporter](https://github.com/technicityworks/helm-charts/tree/main/charts/prometheus-kafka-exporter)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-01-03T16:14:08.000Z","updatedAt":"2022-06-14T18:11:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15465"},{"rel":"revisions","href":"/dashboards/15465/revisions"},{"rel":"revision","href":"/dashboards/15465/revisions/1"},{"rel":"download","href":"/dashboards/15465/revisions/1/download"},{"rel":"org","href":"/orgs/technicityworks"},{"rel":"images","href":"/dashboards/15465/images"},{"rel":"thumbnails","href":"/dashboards/15465/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12931,"status":1,"statusCode":"active","orgId":413408,"orgSlug":"biennt0979","orgName":"biennt0979","slug":"kafka-exporter-overview","downloads":1605,"revisionId":18705,"revision":1,"name":"Kafka Exporter Overview","description":"Kafka msg in, out and lag","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-09-01T13:00:37.000Z","updatedAt":"2020-09-01T13:03:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12931"},{"rel":"revisions","href":"/dashboards/12931/revisions"},{"rel":"revision","href":"/dashboards/12931/revisions/1"},{"rel":"download","href":"/dashboards/12931/revisions/1/download"},{"rel":"org","href":"/orgs/biennt0979"},{"rel":"images","href":"/dashboards/12931/images"},{"rel":"thumbnails","href":"/dashboards/12931/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17936,"status":1,"statusCode":"active","orgId":782245,"orgSlug":"lbeqiri","orgName":"lbeqiri","slug":"kafka-exporter-overview","downloads":757,"revisionId":27503,"revision":1,"name":"Kafka Exporter Overview","description":"Kafka resource usage and throughput","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-01-24T10:41:30.000Z","updatedAt":"2023-01-24T10:42:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17936"},{"rel":"revisions","href":"/dashboards/17936/revisions"},{"rel":"revision","href":"/dashboards/17936/revisions/1"},{"rel":"download","href":"/dashboards/17936/revisions/1/download"},{"rel":"org","href":"/orgs/lbeqiri"},{"rel":"images","href":"/dashboards/17936/images"},{"rel":"thumbnails","href":"/dashboards/17936/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12094,"status":1,"statusCode":"active","orgId":372778,"orgSlug":"liorznetapp","orgName":"liorznetapp","slug":"kafka","downloads":1203,"revisionId":17224,"revision":1,"name":"Kafka JMX jolokia2 agent","description":"Jolokia2 on top of JMX for Kafka\n\nTo understand what metrics you can collect:\nhttps://github.com/liorzam/kafka_jmx_jolokia2_agent/blob/master/metrics.rb\n\n","readme":"https://github.com/liorzam/kafka_jmx_jolokia2_agent","collectorType":"Telegraf","collectorConfig":"\n # Read Kafka metrics\n [[inputs.jolokia2_agent]]\n   name_prefix = \"kafka_\"\n\n   urls = [\"http://kafka:<port>/jolokia\"]\n\n   [[inputs.jolokia2_agent.metric]]\n     name         = \"controller\"\n     mbean        = \"kafka.controller:name=*,type=*\"\n     field_prefix = \"$1.\"\n\n   [[inputs.jolokia2_agent.metric]]\n     name         = \"replica_manager\"\n     mbean        = \"kafka.server:name=*,type=ReplicaManager\"\n     field_prefix = \"$1.\"\n\n   [[inputs.jolokia2_agent.metric]]\n     name         = \"purgatory\"\n     mbean        = \"kafka.server:delayedOperation=*,name=*,type=DelayedOperationPurgatory\"\n     field_prefix = \"$1.\"\n     field_name   = \"$2\"\n\n   [[inputs.jolokia2_agent.metric]]\n     name     = \"client\"\n     mbean    = \"kafka.server:client-id=*,type=*\"\n     tag_keys = [\"client-id\", \"type\"]\n\n   [[inputs.jolokia2_agent.metric]]\n     name         = \"request\"\n     mbean        = \"kafka.network:name=*,request=*,type=RequestMetrics\"\n     field_prefix = \"$1.\"\n     tag_keys     = [\"request\"]\n\n   [[inputs.jolokia2_agent.metric]]\n     name         = \"topics\"\n     mbean        = \"kafka.server:name=*,type=BrokerTopicMetrics\"\n     field_prefix = \"$1.\"\n\n   [[inputs.jolokia2_agent.metric]]\n     name       = \"partition\"\n     mbean      = \"kafka.log:name=LogFlushRateAndTimeMs,partition=*,topic=*,type=Log\"\n     field_name = \"$1\"\n     tag_keys   = [\"topic\", \"partition\"]\n\n   [[inputs.jolokia2_agent.metric]]\n     name       = \"partition\"\n     mbean      = \"kafka.log:name=*,type=LogFlushStats\"\n     field_name = \"$1\"\n\n   [[inputs.jolokia2_agent.metric]]\n     name       = \"partition\"\n     mbean      = \"kafka.cluster:name=UnderReplicated,partition=*,topic=*,type=Partition\"\n     field_name = \"UnderReplicatedPartitions\"\n     tag_keys   = [\"topic\", \"partition\"]\n","collectorPluginList":"jolokia","datasource":"InfluxDB","privacy":"public","createdAt":"2020-04-19T11:43:21.000Z","updatedAt":"2020-04-19T11:56:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12094"},{"rel":"revisions","href":"/dashboards/12094/revisions"},{"rel":"revision","href":"/dashboards/12094/revisions/1"},{"rel":"download","href":"/dashboards/12094/revisions/1/download"},{"rel":"org","href":"/orgs/liorznetapp"},{"rel":"images","href":"/dashboards/12094/images"},{"rel":"thumbnails","href":"/dashboards/12094/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11963,"status":1,"statusCode":"active","orgId":296836,"orgSlug":"alvarobacelar","orgName":"alvarobacelar","slug":"kafka-lag","downloads":9337,"revisionId":17058,"revision":3,"name":"Kafka Lag","description":"Dashboard for metrics kafka LAG on the Burrow and Burrow Exporter","readme":"More about this dash in this article: https://dev.to/alvarobacelar/monitorando-consumer-lag-do-apache-kafka-2o1d ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-21T21:18:06.000Z","updatedAt":"2020-03-29T20:18:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11963"},{"rel":"revisions","href":"/dashboards/11963/revisions"},{"rel":"revision","href":"/dashboards/11963/revisions/3"},{"rel":"download","href":"/dashboards/11963/revisions/3/download"},{"rel":"org","href":"/orgs/alvarobacelar"},{"rel":"images","href":"/dashboards/11963/images"},{"rel":"thumbnails","href":"/dashboards/11963/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16704,"status":1,"statusCode":"active","orgId":691834,"orgSlug":"alexeykozak57","orgName":"alexeykozak57","slug":"kafka-lag-exporter","downloads":1116,"revisionId":25589,"revision":1,"name":"Kafka Lag Exporter","description":"Kafka Lag Exporter dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-08-10T11:49:12.000Z","updatedAt":"2022-08-10T11:49:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16704"},{"rel":"revisions","href":"/dashboards/16704/revisions"},{"rel":"revision","href":"/dashboards/16704/revisions/1"},{"rel":"download","href":"/dashboards/16704/revisions/1/download"},{"rel":"org","href":"/orgs/alexeykozak57"},{"rel":"images","href":"/dashboards/16704/images"},{"rel":"thumbnails","href":"/dashboards/16704/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11962,"status":1,"statusCode":"active","orgId":296836,"orgSlug":"alvarobacelar","orgName":"alvarobacelar","slug":"kafka-metrics","downloads":20678,"revisionId":19743,"revision":4,"name":"Kafka Metrics","description":"Dashboard for metrics jmx_exporter protmetheus","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-21T19:29:26.000Z","updatedAt":"2020-12-06T23:42:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11962"},{"rel":"revisions","href":"/dashboards/11962/revisions"},{"rel":"revision","href":"/dashboards/11962/revisions/4"},{"rel":"download","href":"/dashboards/11962/revisions/4/download"},{"rel":"org","href":"/orgs/alvarobacelar"},{"rel":"images","href":"/dashboards/11962/images"},{"rel":"thumbnails","href":"/dashboards/11962/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24565,"status":1,"statusCode":"active","orgId":1617058,"orgSlug":"ganeshvasireddy","orgName":"ganeshvasireddy","slug":"kafka-metrics-dashboard","downloads":245,"revisionId":39329,"revision":1,"name":"Kafka Metrics Dashboard (Kafka Exporter)","description":"A comprehensive Kafka monitoring dashboard for Kubernetes. Visualizes Consumer Lag, Throughput, and Broker Health using Kafka Exporter and cAdvisor.","readme":"# Kafka Premium Dashboard\r\n\r\nA modern, high-performance Grafana dashboard for monitoring Apache Kafka on Kubernetes. This dashboard focuses on **Consumer Lag** and **Cluster Health** without relying on complex JMX configurations.\r\n\r\n### 🌟 Features\r\n*   **Cluster Inventory**: Instant view of active Brokers, Topics, and Consumer Groups with identity details.\r\n*   **Lag Analysis**:\r\n    *   **Total Cluster Lag**: Time-series visualization of global backlog.\r\n    *   **Per-Group Lag**: Detailed breakdown of lag per consumer group with Min/Max/Mean stats.\r\n    *   **Top Offenders**: \"Top 10 Lagging Groups\" table to instantly spot bottlenecks.\r\n*   **Throughput Metrics**: Real-time **Messages In/Sec** (Production) and **Messages Out/Sec** (Consumption) rates.\r\n*   **Deep Dive Tables**:\r\n    *   **Topic Offsets**: View current High Watermark offsets per partition.\r\n    *   **Consumer Offsets**: View committed offsets per group/partition.\r\n*   **Infrastructure Health**: CPU, Memory, and Network I/O usage per Broker pod (via cAdvisor).\r\n*   **Namespace Filtering**: Built-in variable to filter resources by Kubernetes Namespace.\r\n\r\n### 📋 Requirements\r\n*   **Prometheus** Datasource.\r\n*   **Kafka Exporter** (e.g., `danielqsj/kafka-exporter`) deployed in your cluster.\r\n*   **Kubernetes** environment (for CPU/Memory metrics).\r\n\r\n### 🔧 Setup\r\n1.  **Deploy Kafka Exporter**: Ensure `kafka-exporter` is running and pointing to your Kafka brokers.\r\n2.  **Import Dashboard**:\r\n    *   Copy the JSON ID or upload the JSON file.\r\n    *   Select your **Prometheus** datasource when prompted.\r\n3.  **Select Namespace**: Use the dropdown at the top to select your Kafka namespace.\r\n\r\n### 📸 Panels Overview\r\n| Section | Description |\r\n|---------|-------------|\r\n| **Total Lag Analysis** | Aggregate lag across all consumer groups. Best for spotting cluster-wide issues. |\r\n| **Cluster Inventory** | Tables listing Broker IDs, Topic names (with partition counts), and Consumer Groups. |\r\n| **Throughput** | Production vs. Consumption rates to analyze traffic flow. |\r\n| **Offsets & Partitions** | Detailed tables showing the exact offset position for every partition. |\r\n| **Infrastructure** | (Collapsed by default) CPU/Memory/Network usage per broker pod. |","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-12-13T08:52:59.000Z","updatedAt":"2025-12-13T16:37:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24565"},{"rel":"revisions","href":"/dashboards/24565/revisions"},{"rel":"revision","href":"/dashboards/24565/revisions/1"},{"rel":"download","href":"/dashboards/24565/revisions/1/download"},{"rel":"org","href":"/orgs/ganeshvasireddy"},{"rel":"images","href":"/dashboards/24565/images"},{"rel":"thumbnails","href":"/dashboards/24565/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10083,"status":1,"statusCode":"active","orgId":237843,"orgSlug":"weeco","orgName":"weeco","slug":"kafka-minion","downloads":12708,"revisionId":16169,"revision":3,"name":"Kafka Minion","description":"","readme":"# Kafka Minion Dashboard\n\nKafka Minion is a promethues exporter to monitor consumer group lags on a Kafka cluster. Beside consumer group lags you can also see some topic or partition specific metrics such as the cleanup policy, partition count and the approximate number of messages (only reliable on delete policy). \n\n**Note:** This dashboard requires prometheus metrics provided by Kafka Minion: [https://github.com/cloudworkz/kafka-minion/](https://github.com/cloudworkz/kafka-minion/)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-04-22T14:03:40.000Z","updatedAt":"2019-12-28T12:23:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/10083"},{"rel":"revisions","href":"/dashboards/10083/revisions"},{"rel":"revision","href":"/dashboards/10083/revisions/3"},{"rel":"download","href":"/dashboards/10083/revisions/3/download"},{"rel":"org","href":"/orgs/weeco"},{"rel":"images","href":"/dashboards/10083/images"},{"rel":"thumbnails","href":"/dashboards/10083/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10466,"status":1,"statusCode":"active","orgId":237843,"orgSlug":"weeco","orgName":"weeco","slug":"kafka-minion-ops","downloads":8554,"revisionId":16170,"revision":2,"name":"Kafka Minion OPS","description":"","readme":"# Kafka Minion OPS Dashboard\n\nKafka Minion is a promethues exporter to monitor consumer group lags, topic metrics as well as cluster wide metrics on a Kafka cluster. It provides valuable metrics to get more insight into your Kafka Topics and how your Consumer Groups are consuming them. It can also help to debug performance or consumer client issues.\n\n**Note:** This dashboard requires prometheus metrics provided by Kafka Minion: [https://github.com/cloudworkz/kafka-minion/](https://github.com/cloudworkz/kafka-minion/)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-06-30T23:01:02.000Z","updatedAt":"2019-12-28T12:25:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/10466"},{"rel":"revisions","href":"/dashboards/10466/revisions"},{"rel":"revision","href":"/dashboards/10466/revisions/2"},{"rel":"download","href":"/dashboards/10466/revisions/2/download"},{"rel":"org","href":"/orgs/weeco"},{"rel":"images","href":"/dashboards/10466/images"},{"rel":"thumbnails","href":"/dashboards/10466/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":721,"status":1,"statusCode":"active","orgId":12624,"orgSlug":"robustperception","orgName":"Robust Perception","slug":"kafka","downloads":35892,"revisionId":1000,"revision":1,"name":"Kafka Overview","description":"Kafka resource usage and throughput","readme":"See the [blog post]( https://www.robustperception.io/monitoring-kafka-with-prometheus/) for how to setup the JMX Exporter to use this dashboard.\r\n\r\nThe job label must be `kafka`.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-10-23T20:14:49.000Z","updatedAt":"2016-10-23T20:23:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/721"},{"rel":"revisions","href":"/dashboards/721/revisions"},{"rel":"revision","href":"/dashboards/721/revisions/1"},{"rel":"download","href":"/dashboards/721/revisions/1/download"},{"rel":"org","href":"/orgs/robustperception"},{"rel":"images","href":"/dashboards/721/images"},{"rel":"thumbnails","href":"/dashboards/721/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5484,"status":1,"statusCode":"active","orgId":138273,"orgSlug":"chrisazurro","orgName":"chrisazurro","slug":"kafka-overview","downloads":2092,"revisionId":7374,"revision":1,"name":"Kafka Overview","description":"Kafka usage and throughput","readme":"The dashboard for metrics collected by [kafka_exporter](https://github.com/kociepa/kafka_exporter). The job label must be `kafka_exporter`.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-04-10T08:05:43.000Z","updatedAt":"2018-04-10T08:12:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5484"},{"rel":"revisions","href":"/dashboards/5484/revisions"},{"rel":"revision","href":"/dashboards/5484/revisions/1"},{"rel":"download","href":"/dashboards/5484/revisions/1/download"},{"rel":"org","href":"/orgs/chrisazurro"},{"rel":"images","href":"/dashboards/5484/images"},{"rel":"thumbnails","href":"/dashboards/5484/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3580,"status":1,"statusCode":"active","orgId":94453,"orgSlug":"this","orgName":"this","slug":"kafka-overview","downloads":1242,"revisionId":4921,"revision":1,"name":"Kafka Overview","description":"Kafka resource usage and throughput","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-10-28T03:47:43.000Z","updatedAt":"2017-10-28T03:48:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/3580"},{"rel":"revisions","href":"/dashboards/3580/revisions"},{"rel":"revision","href":"/dashboards/3580/revisions/1"},{"rel":"download","href":"/dashboards/3580/revisions/1/download"},{"rel":"org","href":"/orgs/this"},{"rel":"images","href":"/dashboards/3580/images"},{"rel":"thumbnails","href":"/dashboards/3580/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10387,"status":1,"statusCode":"active","orgId":255249,"orgSlug":"mantis","orgName":"Mantis PayTM","slug":"kafka-overview","downloads":586,"revisionId":14524,"revision":1,"name":"Kafka Overview","description":"Kafka new template","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-06-20T10:14:13.000Z","updatedAt":"2019-06-20T10:14:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10387"},{"rel":"revisions","href":"/dashboards/10387/revisions"},{"rel":"revision","href":"/dashboards/10387/revisions/1"},{"rel":"download","href":"/dashboards/10387/revisions/1/download"},{"rel":"org","href":"/orgs/mantis"},{"rel":"images","href":"/dashboards/10387/images"},{"rel":"thumbnails","href":"/dashboards/10387/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12766,"status":1,"statusCode":"active","orgId":405483,"orgSlug":"owarai","orgName":"owarai","slug":"kafka-overview","downloads":737,"revisionId":18372,"revision":1,"name":"Kafka Overview","description":"Kafka resource usage and consumer lag overview","readme":"a modified version of \nhttps://github.com/ignatev/burrow-kafka-dashboard(dashboard ID: 5468).\n\nUse jmx_exporter and Burrow's self exporter.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-08-04T07:38:07.000Z","updatedAt":"2020-08-05T06:34:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12766"},{"rel":"revisions","href":"/dashboards/12766/revisions"},{"rel":"revision","href":"/dashboards/12766/revisions/1"},{"rel":"download","href":"/dashboards/12766/revisions/1/download"},{"rel":"org","href":"/orgs/owarai"},{"rel":"images","href":"/dashboards/12766/images"},{"rel":"thumbnails","href":"/dashboards/12766/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5353,"status":1,"statusCode":"active","orgId":133939,"orgSlug":"makabra","orgName":"Patrick Propst","slug":"kafka-overview","downloads":524,"revisionId":7117,"revision":1,"name":"Kafka Overview","description":"Kafka resource usage and throughput","readme":"This is an ongoing work","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-03-28T12:14:12.000Z","updatedAt":"2018-03-28T12:14:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5353"},{"rel":"revisions","href":"/dashboards/5353/revisions"},{"rel":"revision","href":"/dashboards/5353/revisions/1"},{"rel":"download","href":"/dashboards/5353/revisions/1/download"},{"rel":"org","href":"/orgs/makabra"},{"rel":"images","href":"/dashboards/5353/images"},{"rel":"thumbnails","href":"/dashboards/5353/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10386,"status":1,"statusCode":"active","orgId":255249,"orgSlug":"mantis","orgName":"Mantis PayTM","slug":"kafka-overview","downloads":566,"revisionId":14523,"revision":1,"name":"Kafka Overview","description":"Kafka template","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-06-20T10:09:51.000Z","updatedAt":"2019-06-20T10:11:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10386"},{"rel":"revisions","href":"/dashboards/10386/revisions"},{"rel":"revision","href":"/dashboards/10386/revisions/1"},{"rel":"download","href":"/dashboards/10386/revisions/1/download"},{"rel":"org","href":"/orgs/mantis"},{"rel":"images","href":"/dashboards/10386/images"},{"rel":"thumbnails","href":"/dashboards/10386/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":5021,"status":1,"statusCode":"active","orgId":129020,"orgSlug":"romlinch","orgName":"romlinch","slug":"kafka-overview","downloads":490,"revisionId":6659,"revision":1,"name":"Kafka Overview","description":"Kafka resource usage and throughput","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2018-03-09T13:16:03.000Z","updatedAt":"2018-03-09T13:16:23.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5021"},{"rel":"revisions","href":"/dashboards/5021/revisions"},{"rel":"revision","href":"/dashboards/5021/revisions/1"},{"rel":"download","href":"/dashboards/5021/revisions/1/download"},{"rel":"org","href":"/orgs/romlinch"},{"rel":"images","href":"/dashboards/5021/images"},{"rel":"thumbnails","href":"/dashboards/5021/thumbnails"}]},{"id":13684,"status":1,"statusCode":"active","orgId":452993,"orgSlug":"chubock","orgName":"chubock","slug":"kafka-overview","downloads":978,"revisionId":19977,"revision":1,"name":"Kafka Overview","description":"Kafka resource usage and throughput","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-05T22:35:24.000Z","updatedAt":"2021-01-05T23:02:17.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13684"},{"rel":"revisions","href":"/dashboards/13684/revisions"},{"rel":"revision","href":"/dashboards/13684/revisions/1"},{"rel":"download","href":"/dashboards/13684/revisions/1/download"},{"rel":"org","href":"/orgs/chubock"},{"rel":"images","href":"/dashboards/13684/images"},{"rel":"thumbnails","href":"/dashboards/13684/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13966,"status":1,"statusCode":"active","orgId":467775,"orgSlug":"baddh","orgName":"David Hagens","slug":"kafka-streams-dashboard","downloads":2839,"revisionId":20459,"revision":1,"name":"Kafka Streams Dashboard","description":"Dashboard for a Kafka Streams application using Prometheus JMX-Exporter running in Kubernetes","readme":"# A Dashboard for Kafka Streams Applications running in Kubernetes.\n\n## Setup\n\nOption A:\n1. Deploy a Kafka Streams App with Kubernetes. Make sure that the App exports JMX metrics (example is from sbt):\n```\njavaOptions in Universal += Seq(\n  \"-Dcom.sun.management.jmxremote.port=9186\",\n  \"-Dcom.sun.management.jmxremote.rmi.port=9186\",\n  \"-Dcom.sun.management.jmxremote.ssl=false\",\n  \"-Dcom.sun.management.jmxremote.local.only=false\",\n  \"-Dcom.sun.management.jmxremote.authenticate=false\"\n).mkString(\" \")\n```\n2. Start a sidecar prometheus exporter. You can use [sscalling/jmx-prometheus-exporter](https://hub.docker.com/r/sscaling/jmx-prometheus-exporter).\n3. Check if prometheus is scraping your application. You can test this by checking the query result of `kafka_streams_kafka_metrics_count_count`.\n4. If prometheus is scraping correctly, the dashboard should work.\n\nOption B:\n1. Deploy your application with the prometheus-jmx-exporter as java agent (see [here](https://github.com/prometheus/jmx_exporter#running)\n2. No need for an additional sidecar container, your app exports prometheus metrics directly.\n3. Check if prometheus is scraping your application. You can test this by checking the query result of `kafka_streams_kafka_metrics_count_count`.\n4. If prometheus is scraping correctly, the dashboard should work.\n\n## Kubernetes Config\n\nTo automatically add your application to prometheus, use the following annotations in a kubernetes service:\n```\nannotations:\n  prometheus.io/scrape: 'true'\n  prometheus.io/port: '5556'\n  prometheus.io/path: \"/metrics\"\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-02-25T07:47:15.000Z","updatedAt":"2021-02-25T08:23:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13966"},{"rel":"revisions","href":"/dashboards/13966/revisions"},{"rel":"revision","href":"/dashboards/13966/revisions/1"},{"rel":"download","href":"/dashboards/13966/revisions/1/download"},{"rel":"org","href":"/orgs/baddh"},{"rel":"images","href":"/dashboards/13966/images"},{"rel":"thumbnails","href":"/dashboards/13966/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25104,"status":1,"statusCode":"active","orgId":1715070,"orgSlug":"factorhouse","orgName":"factorhouse","slug":"kafka-topic","downloads":30,"revisionId":40364,"revision":1,"name":"Kafka Topic","description":"Granular visibility into Apache Kafka topics, tracking throughput, consumer lag, and URPs using Kpow's high-fidelity telemetry.","readme":"Factor House is a leader in real-time data tooling, empowering engineers with innovative solutions for Apache Kafka® and Apache Flink®.\r\n\r\nOur flagship product, [Kpow for Apache Kafka](https://factorhouse.io/products/kpow), is the market-leading enterprise solution for Kafka management and monitoring.\r\n\r\n## Kafka Topic Diagnostics\r\n\r\nDesigned for data engineers and platform administrators, this dashboard provides granular visibility into the data layer.\r\n\r\nIt tracks aggregate metrics like total topics, total replica disk usage, cluster-wide read/write throughput, and non-preferred leaders. Most importantly, it visualizes per-topic production and consumption rates over time, topic size growth, and isolates the exact topics experiencing consumer lag or Under Replicated Partitions (URPs) through detailed diagnostic tables.\r\n\r\n### Getting Started\r\n\r\nThis dashboard relies on [**Kpow's Prometheus integration**](https://docs.factorhouse.io/kpow/integration/prometheus/overview). It does not require JMX sidecars or complex Exporters. \r\n\r\nTo use this dashboard:\r\n1. Ensure your Prometheus instance (or Grafana Cloud Metrics Endpoint) is configured to scrape your Kpow telemetry endpoints (e.g., `/metrics/v1`). \r\n2. Import this dashboard template.\r\n3. Select your Prometheus data source from the dropdown when prompted. \r\n\r\nFor full setup instructions and to explore our other Kafka dashboards, visit the [Factor Telemetry GitHub Repository](https://github.com/factorhouse/factor-telemetry).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-02T04:32:22.000Z","updatedAt":"2026-04-07T23:26:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25104"},{"rel":"revisions","href":"/dashboards/25104/revisions"},{"rel":"revision","href":"/dashboards/25104/revisions/1"},{"rel":"download","href":"/dashboards/25104/revisions/1/download"},{"rel":"org","href":"/orgs/factorhouse"},{"rel":"images","href":"/dashboards/25104/images"},{"rel":"thumbnails","href":"/dashboards/25104/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14506,"status":1,"statusCode":"active","orgId":383613,"orgSlug":"opstreedevops","orgName":"opstreedevops","slug":"kafka-topics-metrics","downloads":2915,"revisionId":21850,"revision":2,"name":"Kafka Topics Metrics","description":"With Kafka Topics Metrics Dashboard we can visualize the Metrics related to the topic. We can select the particular topic from the dropdown and see the data related to this topic.","readme":"# Telegraf Input Plugins\r\nFollowing are the basic telegraf Configuration can be use.\r\n```\r\n[global_tags]\r\n\r\n\r\n# Configuration for telegraf agent\r\n[agent]\r\n    interval = \"10s\"\r\n    debug = false\r\n    hostname = \"theone.us-central1-a.c.theone-277307.internal\"\r\n    round_interval = true\r\n    flush_interval = \"10s\"\r\n    flush_jitter = \"0s\"\r\n    collection_jitter = \"0s\"\r\n    metric_batch_size = 1000\r\n    metric_buffer_limit = 10000\r\n    quiet = false\r\n    logfile = \"/var/log/telegraf/telegraf.log\"\r\n    omit_hostname = false\r\n\r\n\r\n###############################################################################\r\n#                                  OUTPUTS                                    #\r\n###############################################################################\r\n\r\n[[outputs.prometheus_client]]\r\n    listen = \":9273\"\r\n\r\n###############################################################################\r\n#                                  INPUTS                                     #\r\n###############################################################################\r\n\r\n[[inputs.cpu]]\r\n    percpu = true\r\n[[inputs.disk]]\r\n[[inputs.io]]\r\n[[inputs.mem]]\r\n[[inputs.net]]\r\n[[inputs.system]]\r\n[[inputs.swap]]\r\n[[inputs.netstat]]\r\n[[inputs.processes]]\r\n[[inputs.kernel]]\r\n[[inputs.diskio]]\r\n[[inputs.procstat]]\r\n    user = \"root,telegraf,ubuntu\"\r\n\r\n```\r\n# Jolokia Agent Config\r\n```\r\n## Read JMX metrics through Jolokia\r\n [[inputs.jolokia2_agent]]\r\n   ## An array of Kafka servers URI to gather stats.\r\n    urls = [\"http://localhost:8778/jolokia\"]\r\n    name_prefix = \"kafka.\"\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"controller\"\r\n        mbean        = \"kafka.controller:name=*,type=*\"\r\n        field_prefix = \"$1.\"\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"controller\"\r\n        mbean        = \"kafka.consumer:type=consumer-fetch-manager-metrics,client-id=([-.w]+)\"\r\n        field_prefix = \"$1.\"\r\n        tag_keys     = [\"topic\", \"consumer\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"replica_manager\"\r\n        mbean        = \"kafka.server:name=*,type=ReplicaManager\"\r\n        field_prefix = \"$1.\"\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"server_replicafetchmanager.maxlag\"\r\n        mbean        = \"kafka.server:type=ReplicaFetcherManager,name=MaxLag,clientId=Replica\"\r\n        field_prefix = \"$1.\"\r\n        tag_keys     = [\"topic\", \"ReplicaFetcherManager\"]\r\n    \r\n    [[inputs.jolokia2_agent.metric]]\r\n        name = \"server_requesthandler_avgidlepct\"\r\n        mbean  = \"kafka.server:name=RequestHandlerAvgIdlePercent,type=KafkaRequestHandlerPool\"\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"topic\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"purgatory\"\r\n        mbean        = \"kafka.server:delayedOperation=*,name=*,type=DelayedOperationPurgatory\"\r\n        field_prefix = \"$1.\"\r\n        field_name   = \"$2\"\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"client\"\r\n        mbean        = \"kafka.server:client-id=*,type=*\"\r\n        tag_keys     = [\"client-id\", \"type\"]\r\n    \r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"server_replicafetchmanager.maxlag\"\r\n        mbean        = \"kafka.server:type=ReplicaFetcherManager,name=MaxLag,clientId=Replica\"\r\n        tag_keys     = [\"request\", \"network\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"request\"\r\n        mbean        = \"kafka.network:name=*,request=*,type=RequestMetrics\"\r\n        field_prefix = \"$1.\"\r\n        tag_keys     = [\"request\", \"network\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"network_processor_avgidlepct\"\r\n        mbean        = \"kafka.network:name=NetworkProcessorAvgIdlePercent,type=SocketServer\"\r\n        field_prefix = \"$1.\"\r\n        tag_keys     = [\"socketserver\", \"network\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"topics\"\r\n        mbean        = \"kafka.server:name=*,type=BrokerTopicMetrics\"\r\n        field_prefix = \"$1.\"\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name         = \"topic\"\r\n        mbean        = \"kafka.server:name=*,topic=*,type=BrokerTopicMetrics\"\r\n        field_prefix = \"$1.\"\r\n        tag_keys     = [\"topic\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"partition\"\r\n        mbean      = \"kafka.log:name=*,partition=*,topic=*,type=Log\"\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"topic\", \"partition\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"partition\"\r\n        mbean      = \"kafka.cluster:name=UnderReplicated,partition=*,topic=*,type=Partition\"\r\n        field_name = \"UnderReplicatedPartitions\"\r\n        tag_keys   = [\"topic\", \"partition\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"controller_activecontrollers\"\r\n        mbean      = \"kafka.controller:type=KafkaController,name=ActiveControllerCount\"\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"controller\"]\r\n    \r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"controller_offlinepartitions\"\r\n        mbean      = \"kafka.controller:type=KafkaController,name=OfflinePartitionsCount\"\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"controller\"]\r\n    \r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"controller_stats_leaderelectionrateandtime\"\r\n        mbean      = \"kafka.controller:type=ControllerStats,name=LeaderElectionRateAndTimeMs\"\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"controller\"]\r\n    \r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"controller_stats_uncleanleaderelections\"\r\n        mbean      = \"kafka.controller:type=ControllerStats,name=UncleanLeaderElectionsPerSec\"\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"controller\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"server_requesthandler_avgidlepct\"\r\n        mbean      = \"kafka.server:name=RequestHandlerAvgIdlePercent,type=KafkaRequestHandlerPool\"\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"topic\", \"requesthandler\"]\r\n\r\n    # Zookeeper Metrics\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"zookeeper_disconnects\"\r\n        mbean      = \"kafka.server:type=SessionExpireListener,name=ZooKeeperDisconnectsPerSec\"\r\n        paths      = [\"Count\",\"OneMinuteRate\",\"FiveMinuteRate\",\"FifteenMinuteRate\",\"MeanRate\"]\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"zookeeper\"]\r\n   \r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"zookeeper_sync_connects\"\r\n        mbean      = \"kafka.server:type=SessionExpireListener,name=ZooKeeperSyncConnectsPerSec\"\r\n        paths      = [\"Count\",\"OneMinuteRate\",\"FiveMinuteRate\",\"FifteenMinuteRate\",\"MeanRate\"]\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"zookeeper\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"zookeeper_auth_failures\"\r\n        mbean      = \"kafka.server:type=SessionExpireListener,name=ZooKeeperAuthFailuresPerSec\"\r\n        paths      = [\"Count\",\"OneMinuteRate\",\"FiveMinuteRate\",\"FifteenMinuteRate\",\"MeanRate\"]\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"zookeeper\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"zookeeper_readonly_connects\"\r\n        mbean      = \"kafka.server:type=SessionExpireListener,name=ZooKeeperReadOnlyConnectsPerSec\"\r\n        paths      = [\"Count\",\"OneMinuteRate\",\"FiveMinuteRate\",\"FifteenMinuteRate\",\"MeanRate\"]\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"zookeeper\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"zookeeper_authentications\"\r\n        mbean      = \"kafka.server:type=SessionExpireListener,name=ZooKeeperSaslAuthenticationsPerSec\"\r\n        paths      = [\"Count\",\"OneMinuteRate\",\"FiveMinuteRate\",\"FifteenMinuteRate\",\"MeanRate\"]\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"zookeeper\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"zookeeper_expires\"\r\n        mbean      = \"kafka.server:type=SessionExpireListener,name=ZooKeeperExpiresPerSec\"\r\n        paths      = [\"Count\",\"OneMinuteRate\",\"FiveMinuteRate\",\"FifteenMinuteRate\",\"MeanRate\"]\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"zookeeper\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"heap_memory_usage\"\r\n        mbean      = \"java.lang:type=Memory\"\r\n        paths      = [\"HeapMemoryUsage\"]\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"zookeeper\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"thread_count\"\r\n        mbean      = \"java.lang:type=Threading\"\r\n        paths      = [\"TotalStartedThreadCount\",\"ThreadCount\",\"DaemonThreadCount\",\"PeakThreadCount\"]\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"zookeeper\"]\r\n\r\n    [[inputs.jolokia2_agent.metric]]\r\n        name       = \"garbage_collector\"\r\n        mbean      = \"java.lang:type=GarbageCollector,name=*\"\r\n        paths      = [\"CollectionCount\",\"CollectionTime\"]\r\n        field_name = \"$1\"\r\n        tag_keys   = [\"garbage_collector\"]\r\n\r\n```\r\n\r\n### Contributor 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","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-11T16:15:47.000Z","updatedAt":"2019-11-11T16:29:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11172"},{"rel":"revisions","href":"/dashboards/11172/revisions"},{"rel":"revision","href":"/dashboards/11172/revisions/1"},{"rel":"download","href":"/dashboards/11172/revisions/1/download"},{"rel":"org","href":"/orgs/nikgrok"},{"rel":"images","href":"/dashboards/11172/images"},{"rel":"thumbnails","href":"/dashboards/11172/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12052,"status":1,"statusCode":"active","orgId":367772,"orgSlug":"bgbiao","orgName":"bgbiao","slug":"kafka-exporter-overview","downloads":1236,"revisionId":17162,"revision":1,"name":"Kafka-Metrics-Dashboard","description":"Kafka集群Metrics数据展示","readme":"Kafka核心数据监控展示，使用kafka_exporter采集器采集kafka原始metrics信息，帮助运营者快速了解整个kafka集群在一段时间内的运行情况","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-08T08:20:18.000Z","updatedAt":"2020-04-08T08:27:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12052"},{"rel":"revisions","href":"/dashboards/12052/revisions"},{"rel":"revision","href":"/dashboards/12052/revisions/1"},{"rel":"download","href":"/dashboards/12052/revisions/1/download"},{"rel":"org","href":"/orgs/bgbiao"},{"rel":"images","href":"/dashboards/12052/images"},{"rel":"thumbnails","href":"/dashboards/12052/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10975,"status":1,"statusCode":"active","orgId":297831,"orgSlug":"marghidanu","orgName":"Tudor 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It provides clear information on the number of pending and delayed tasks, their processing rate, and the distribution of tasks across different queues.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-07-04T14:05:23.000Z","updatedAt":"2025-07-10T10:06:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23651"},{"rel":"revisions","href":"/dashboards/23651/revisions"},{"rel":"revision","href":"/dashboards/23651/revisions/2"},{"rel":"download","href":"/dashboards/23651/revisions/2/download"},{"rel":"org","href":"/orgs/kaiten"},{"rel":"images","href":"/dashboards/23651/images"},{"rel":"thumbnails","href":"/dashboards/23651/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24974,"status":1,"statusCode":"active","orgId":1433312,"orgSlug":"kaiten","orgName":"Kaiten","slug":"kaiten-overview-for-business-ru","downloads":10,"revisionId":40117,"revision":1,"name":"Kaiten Overview for Business - RU","description":"Ключевые показатели, понятные бизнесу: время открытия карточки, количество активных сессий, частота запросов к API, время загрузки страниц.","readme":"Дашборд предназначен для CSM, PM и других нетехнических специалистов. Он предоставляет упрощённый взгляд на производительность системы без сложных инженерных метрик. \r\nЗдесь собраны ключевые показатели, понятные бизнесу: время открытия карточки, количество активных сессий, частота запросов к API и время загрузки страниц. \r\nВсе метрики снабжены цветовыми порогами (зелёный/жёлтый/красный) для быстрой оценки состояния системы.\r\n\r\nВ отличие от инженерного Kaiten-Overview, дашборд не содержит метрик базы данных, очередей событий или кэширования.\r\nВместо этого он фокусируется на пользовательском опыте: как быстро клиенты видят контент, сколько времени занимает загрузка данных и как система отвечает на их действия.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-03-06T16:34:21.000Z","updatedAt":"2026-03-07T08:43:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24974"},{"rel":"revisions","href":"/dashboards/24974/revisions"},{"rel":"revision","href":"/dashboards/24974/revisions/1"},{"rel":"download","href":"/dashboards/24974/revisions/1/download"},{"rel":"org","href":"/orgs/kaiten"},{"rel":"images","href":"/dashboards/24974/images"},{"rel":"thumbnails","href":"/dashboards/24974/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23691,"status":1,"statusCode":"active","orgId":1433312,"orgSlug":"kaiten","orgName":"Kaiten","slug":"kaiten-socket","downloads":212,"revisionId":37699,"revision":1,"name":"Kaiten Socket","description":"This dashboard is designed for real-time monitoring and analysis of client WebSocket connections. 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Track service health, request performance, queue status, user activity, and resource utilization with detailed insights into both HTTP and tRPC operations.\r\n\r\n## ✨ Features\r\n\r\n### 🎯 Application Health\r\n- **Service Status**: Real-time UP/DOWN monitoring\r\n- **Total Bookmarks**: Current bookmark count\r\n- **Total Users**: Active user tracking\r\n- **Queue Jobs**: Background job monitoring\r\n\r\n### 🌐 HTTP Performance Metrics\r\n- **Request Count**: Rate of HTTP requests over time\r\n- **Request Duration**: Response time analysis\r\n- **Request Sum**: Cumulative request duration\r\n- **Request Bucket**: Distribution of request latencies\r\n\r\n### 🔌 tRPC Monitoring\r\n- **Request Duration**: tRPC operation latency\r\n- **Request Count**: Rate of tRPC calls\r\n- **Request Sum**: Total processing time\r\n- **Requests Total**: Aggregate tRPC operations\r\n\r\n### 📊 Prometheus Scraping Metrics\r\n- **Scrape Duration**: Time taken to scrape metrics\r\n- **Scrape Samples**: Number of metrics collected\r\n- **Scrape Series Added**: New time series tracking\r\n- **Sample Relabeling**: Post-processing metrics\r\n\r\n### 💾 Resource Monitoring\r\n- **Total Asset Size**: Storage utilization in bytes\r\n- **Queue Status**: Background job queue depth\r\n\r\n## 🖼️ Dashboard Structure\r\n\r\nThe dashboard is organized into four main sections:\r\n\r\n### Top Row - Key Metrics\r\n| Panel | Metric | Description |\r\n|-------|--------|-------------|\r\n| Status | `up` | Service availability (UP/DOWN) |\r\n| Total Bookmarks | `karakeep_total_bookmarks` | Current bookmark count |\r\n| Total Users | `karakeep_total_users` | Total registered users |\r\n\r\n### HTTP Performance Section\r\n| Panel | Metric | Type |\r\n|-------|--------|------|\r\n| HTTP Request Count | `karakeep_http_request_duration_seconds_count` | Rate (req/s) |\r\n| HTTP Request Duration Sum | `karakeep_http_request_duration_seconds_sum` | Seconds |\r\n| HTTP Request Bucket | `karakeep_http_request_duration_seconds_bucket` | Histogram |\r\n| HTTP Requests Total | `karakeep_http_requests_total` | Counter |\r\n\r\n### tRPC Operations Section\r\n| Panel | Metric | Type |\r\n|-------|--------|------|\r\n| tRPC Request Duration | `karakeep_trpc_request_duration_seconds` | Gauge |\r\n| tRPC Request Count | `karakeep_trpc_request_duration_seconds_count` | Rate |\r\n| tRPC Request Sum | `karakeep_trpc_request_duration_seconds_sum` | Seconds |\r\n| tRPC Requests Total | `karakeep_trpc_requests_total` | Counter |\r\n\r\n### System & Queue Monitoring\r\n| Panel | Metric | Description |\r\n|-------|--------|-------------|\r\n| Queue Jobs | `karakeep_queue_jobs` | Background job count |\r\n| Total Asset Size | `karakeep_total_asset_size_bytes` | Storage usage |\r\n| Scrape Duration | `scrape_duration_seconds` | Prometheus scraping time |\r\n| Scrape Samples | `scrape_samples_scraped` | Metrics collected per scrape |\r\n\r\n## 📦 Requirements\r\n\r\n### Prerequisites\r\n\r\n- **Grafana**: Version 12.0 or higher\r\n- **Prometheus**: As data source\r\n- **Karakeep**: Application with Prometheus metrics endpoint\r\n\r\n### Required Panels\r\n\r\n- Stat panel\r\n- Time series panel\r\n\r\n## 🚀 Installation\r\n\r\n### Method 1: Import via Grafana UI\r\n\r\n1. Log in to your Grafana instance\r\n2. Navigate to **Dashboards** → **New** → **Import**\r\n3. Paste the dashboard JSON or upload the JSON file\r\n4. Select your Prometheus data source\r\n5. Click **Import**\r\n\r\n### Method 2: Import via Dashboard ID\r\n\r\n*(If published to Grafana.com)*\r\n\r\n1. Navigate to **Dashboards** → **New** → **Import**\r\n2. Enter the dashboard ID: `XXXXX`\r\n3. Click **Load**\r\n4. Select your Prometheus data source\r\n5. Click **Import**\r\n\r\n## ⚙️ Configuration\r\n\r\n### Karakeep Metrics Endpoint\r\n\r\nEnsure your Karakeep application exposes Prometheus metrics:\r\n\r\n```yaml\r\n# Example application configuration\r\nmetrics:\r\n  enabled: true\r\n  port: 9090\r\n  path: /metrics\r\n```\r\n\r\nThe metrics endpoint should be accessible at:\r\n```\r\nhttp://your-karakeep-instance:9090/metrics\r\n```\r\n\r\n### Prometheus Configuration\r\n\r\nAdd Karakeep as a scrape target in your `prometheus.yml`:\r\n\r\n```yaml\r\nscrape_configs:\r\n  - job_name: 'karakeep'\r\n    scrape_interval: 15s\r\n    scrape_timeout: 10s\r\n    static_configs:\r\n      - targets: ['karakeep:9090']\r\n    metrics_path: '/metrics'\r\n```\r\n\r\nFor multiple Karakeep instances:\r\n\r\n```yaml\r\nscrape_configs:\r\n  - job_name: 'karakeep-production'\r\n    scrape_interval: 15s\r\n    static_configs:\r\n      - targets: \r\n          - 'karakeep-prod-1:9090'\r\n          - 'karakeep-prod-2:9090'\r\n    relabel_configs:\r\n      - source_labels: [__address__]\r\n        target_label: instance\r\n        \r\n  - job_name: 'karakeep-staging'\r\n    scrape_interval: 30s\r\n    static_configs:\r\n      - targets: ['karakeep-staging:9090']\r\n```\r\n\r\n### Dashboard Variables\r\n\r\nThe dashboard includes a **Job** variable that allows filtering by Prometheus job name:\r\n\r\n- **Variable**: `$job`\r\n- **Query**: `label_values(karakeep_total_bookmarks, job)`\r\n- **Multi-select**: No\r\n- **Refresh**: On dashboard load\r\n\r\nThis allows you to switch between different Karakeep deployments (production, staging, etc.).\r\n\r\n## 📊 Metrics Reference\r\n\r\n### Application Metrics\r\n\r\n| Metric | Description | Type | Unit |\r\n|--------|-------------|------|------|\r\n| `up` | Service health status | Gauge | 0/1 |\r\n| `karakeep_total_bookmarks` | Total bookmarks in system | Gauge | count |\r\n| `karakeep_total_users` | Total registered users | Gauge | count |\r\n| `karakeep_queue_jobs` | Current queue job count | Gauge | count |\r\n| `karakeep_total_asset_size_bytes` | Total asset storage used | Gauge | bytes |\r\n\r\n### HTTP Request Metrics\r\n\r\n| Metric | Description | Type | Unit |\r\n|--------|-------------|------|------|\r\n| `karakeep_http_requests_total` | Total HTTP requests | Counter | count |\r\n| `karakeep_http_request_duration_seconds_count` | Number of HTTP requests | Counter | count |\r\n| `karakeep_http_request_duration_seconds_sum` | Total HTTP request time | Counter | seconds |\r\n| `karakeep_http_request_duration_seconds_bucket` | HTTP request latency histogram | Histogram | seconds |\r\n\r\n### tRPC Metrics\r\n\r\n| Metric | Description | Type | Unit |\r\n|--------|-------------|------|------|\r\n| `karakeep_trpc_requests_total` | Total tRPC requests | Counter | count |\r\n| `karakeep_trpc_request_duration_seconds` | tRPC request duration | Gauge | seconds |\r\n| `karakeep_trpc_request_duration_seconds_count` | Number of tRPC requests | Counter | count |\r\n| `karakeep_trpc_request_duration_seconds_sum` | Total tRPC request time | Counter | seconds |\r\n\r\n### Prometheus Metrics\r\n\r\n| Metric | Description | Type | Unit |\r\n|--------|-------------|------|------|\r\n| `scrape_duration_seconds` | Time to scrape target | Gauge | seconds |\r\n| `scrape_samples_scraped` | Samples scraped per scrape | Gauge | count |\r\n| `scrape_samples_post_metric_relabeling` | Samples after relabeling | Gauge | count |\r\n| `scrape_series_added` | New series added | Gauge | count |\r\n\r\n## 🎨 Customization\r\n\r\n### Adjusting Time Windows\r\n\r\nModify the time range for your use case:\r\n\r\n```javascript\r\n// Default: Last 6 hours\r\n\"time\": {\r\n  \"from\": \"now-6h\",\r\n  \"to\": \"now\"\r\n}\r\n\r\n// For daily analysis\r\n\"time\": {\r\n  \"from\": \"now-24h\",\r\n  \"to\": \"now\"\r\n}\r\n\r\n// For weekly trends\r\n\"time\": {\r\n  \"from\": \"now-7d\",\r\n  \"to\": \"now\"\r\n}\r\n```\r\n\r\n### Adding Custom Panels\r\n\r\nExample: Add a panel for bookmark creation rate:\r\n\r\n```yaml\r\n- title: \"Bookmark Creation Rate\"\r\n  type: timeseries\r\n  targets:\r\n    - expr: rate(karakeep_total_bookmarks[5m])\r\n      legendFormat: \"Creation Rate\"\r\n```\r\n\r\n### Modifying Status Colors\r\n\r\nEdit the Status panel thresholds:\r\n\r\n1. Click on **Status** panel → **Edit**\r\n2. Navigate to **Field** → **Mappings**\r\n3. Adjust colors:\r\n   - `0` (DOWN): Red (`semi-dark-red`)\r\n   - `1` (UP): Green (`semi-dark-green`)\r\n\r\n### Setting up Alerts\r\n\r\nCreate alerts based on metrics:\r\n\r\n```yaml\r\n# Example: Alert when service is down\r\n- alert: KarakeepServiceDown\r\n  expr: up{job=\"karakeep\"} == 0\r\n  for: 1m\r\n  annotations:\r\n    summary: \"Karakeep service is down\"\r\n    \r\n# Example: High request latency\r\n- alert: HighRequestLatency\r\n  expr: rate(karakeep_http_request_duration_seconds_sum[5m]) > 1\r\n  for: 5m\r\n  annotations:\r\n    summary: \"High HTTP request latency detected\"\r\n```\r\n\r\n## 🔧 Troubleshooting\r\n\r\n### No Data Displayed\r\n\r\n1. **Verify metrics endpoint is accessible**:\r\n   ```bash\r\n   curl http://karakeep:9090/metrics\r\n   ```\r\n\r\n2. **Check Prometheus is scraping**:\r\n   - Go to Prometheus UI → **Status** → **Targets**\r\n   - Verify `karakeep` target is UP\r\n   - Check for scrape errors\r\n\r\n3. **Verify metric names**:\r\n   ```promql\r\n   # In Prometheus UI, query:\r\n   {job=\"karakeep\"}\r\n   ```\r\n\r\n### Status Shows DOWN\r\n\r\nIf the service appears DOWN but is running:\r\n\r\n1. Check the `up` metric:\r\n   ```promql\r\n   up{job=\"karakeep\"}\r\n   ```\r\n\r\n2. Verify Prometheus can reach the endpoint\r\n3. Check firewall rules\r\n4. Review Prometheus logs for connection errors\r\n\r\n### High Queue Job Count\r\n\r\nIf queue jobs are accumulating:\r\n\r\n1. Check worker status\r\n2. Review application logs\r\n3. Monitor system resources (CPU, memory)\r\n4. Consider scaling workers\r\n\r\n### Missing tRPC Metrics\r\n\r\nIf tRPC panels show no data:\r\n\r\n1. Verify tRPC instrumentation is enabled in Karakeep\r\n2. Check if tRPC endpoints are being called\r\n3. Ensure metrics are properly exported\r\n\r\n## 📈 Performance Analysis\r\n\r\n### Request Rate Analysis\r\n\r\nCalculate requests per second:\r\n```promql\r\nrate(karakeep_http_requests_total[5m])\r\n```\r\n\r\n### Average Response Time\r\n\r\nCalculate average HTTP response time:\r\n```promql\r\nrate(karakeep_http_request_duration_seconds_sum[5m]) \r\n/ \r\nrate(karakeep_http_request_duration_seconds_count[5m])\r\n```\r\n\r\n### 95th Percentile Latency\r\n\r\n```promql\r\nhistogram_quantile(0.95, \r\n  rate(karakeep_http_request_duration_seconds_bucket[5m])\r\n)\r\n```\r\n\r\n### Queue Processing Rate\r\n\r\nMonitor how fast jobs are processed:\r\n```promql\r\nrate(karakeep_queue_jobs[5m])\r\n```\r\n\r\n## 💡 Best Practices\r\n\r\n### Monitoring Strategy\r\n\r\n1. **Baseline Establishment**: Run for 1-2 weeks to establish normal patterns\r\n2. **Set Realistic Thresholds**: Base alerts on your baseline ±30%\r\n3. **Monitor Trends**: Look for gradual degradation over time\r\n4. **Correlate Metrics**: Cross-reference HTTP and tRPC metrics\r\n\r\n### Alert Recommendations\r\n\r\nCreate alerts for:\r\n- **Service Down**: `up == 0` for > 1 minute\r\n- **High Latency**: P95 > 2 seconds for > 5 minutes\r\n- **Queue Buildup**: Queue jobs > 1000 for > 10 minutes\r\n- **High Error Rate**: Error rate > 5% for > 5 minutes\r\n- **Storage Growth**: Asset size increasing > 10% per day\r\n\r\n### Performance Optimization\r\n\r\nMonitor these indicators:\r\n1. **HTTP Request Duration**: Should be < 500ms for most endpoints\r\n2. **tRPC Latency**: Should be < 200ms for API calls\r\n3. **Queue Jobs**: Should trend toward 0 during off-peak hours\r\n4. **Scrape Duration**: Should be < 1 second\r\n\r\n## 📝 Use Cases\r\n\r\n### Development & Debugging\r\n- Identify slow endpoints\r\n- Monitor request patterns during testing\r\n- Track resource usage during development\r\n\r\n### Production Monitoring\r\n- Real-time service health monitoring\r\n- Performance regression detection\r\n- Capacity planning based on growth trends\r\n\r\n### Incident Response\r\n- Quick identification of performance issues\r\n- Historical data for root cause analysis\r\n- Correlation between different metrics\r\n\r\n### Capacity Planning\r\n- Track user growth trends\r\n- Monitor storage utilization\r\n- Plan infrastructure scaling\r\n\r\n## 🤝 Contributing\r\n\r\nContributions are welcome! Areas for enhancement:\r\n\r\n1. Additional application-specific metrics\r\n2. Custom alert rule templates\r\n3. Enhanced visualization options\r\n4. Integration with other monitoring tools\r\n\r\nTo contribute:\r\n1. Fork the repository\r\n2. Create your feature branch\r\n3. Submit a pull request with clear description\r\n\r\n## 📝 Changelog\r\n\r\n### Version 1.0.0 (2024)\r\n- Initial release\r\n- Service health monitoring\r\n- HTTP and tRPC metrics\r\n- Queue job tracking\r\n- User and bookmark statistics\r\n- Prometheus scraping metrics\r\n- Asset storage monitoring\r\n\r\n## 📄 License\r\n\r\nThis dashboard is released under the MIT License.\r\n\r\n## 🔗 Links\r\n\r\n### Documentation\r\n- [Grafana Documentation](https://grafana.com/docs/)\r\n- [Prometheus Documentation](https://prometheus.io/docs/)\r\n- [Prometheus Best Practices](https://prometheus.io/docs/practices/)\r\n\r\n### Tools\r\n- [Karakeep Project](https://github.com/karakeep)\r\n- [Prometheus Node Exporter](https://github.com/prometheus/node_exporter)\r\n- [Grafana Alerting](https://grafana.com/docs/grafana/latest/alerting/)\r\n\r\n### Community\r\n- [Grafana Community Forums](https://community.grafana.com/)\r\n- [Prometheus Community](https://prometheus.io/community/)\r\n\r\n## 💬 Support\r\n\r\nFor issues or questions:\r\n- Check Karakeep documentation\r\n- Open an issue on GitHub\r\n- Visit the Grafana community forums\r\n- Review Prometheus metrics troubleshooting guide\r\n\r\n## 🙏 Acknowledgments\r\n\r\n- Karakeep development team for metrics instrumentation\r\n- Prometheus and Grafana communities\r\n- Contributors to monitoring best practices\r\n\r\n## ⚠️ Important Notes\r\n\r\n### Metric Retention\r\n\r\nConfigure appropriate retention in Prometheus:\r\n\r\n```yaml\r\n# prometheus.yml\r\nstorage:\r\n  tsdb:\r\n    retention.time: 30d  # Adjust based on needs\r\n    retention.size: 50GB\r\n```\r\n\r\n### Scrape Intervals\r\n\r\nBalance between data granularity and resource usage:\r\n- **Production**: 15s interval\r\n- **Staging**: 30s interval\r\n- **Development**: 60s interval\r\n\r\n### Resource Considerations\r\n\r\nMonitor Prometheus resource usage:\r\n- **CPU**: Increases with cardinality\r\n- **Memory**: ~2-3 bytes per time series\r\n- **Disk**: Depends on retention and cardinality\r\n\r\n---\r\n\r\n**Monitor your Karakeep application effectively!** 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You can filter the dashboard by device, plug, and time zone using the dropdown menus at the top.\r\n\r\nMore details on these Kasa Collector dashboards may be found:\r\n\r\nGithub Project: [https://github.com/lux4rd0/kasa-collector/](https://github.com/lux4rd0/kasa-collector/)\r\n\r\nWeb Site: [https://labs.lux4rd0.com/kasa-collector/](https://labs.lux4rd0.com/kasa-collector/)\r\n\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB, Prometheus","privacy":"public","createdAt":"2024-10-03T20:54:42.000Z","updatedAt":"2024-10-03T21:48:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22013"},{"rel":"revisions","href":"/dashboards/22013/revisions"},{"rel":"revision","href":"/dashboards/22013/revisions/1"},{"rel":"download","href":"/dashboards/22013/revisions/1/download"},{"rel":"org","href":"/orgs/lux4rd0labs"},{"rel":"images","href":"/dashboards/22013/images"},{"rel":"thumbnails","href":"/dashboards/22013/thumbnails"}],"datasourceSlugs":["influxdb","prometheus"]},{"id":14762,"status":1,"statusCode":"active","orgId":413891,"orgSlug":"lux4rd0labs","orgName":"Lux4rd0 Labs","slug":"kasa-collector-energy-by-device","downloads":791,"revisionId":34501,"revision":4,"name":"Kasa Collector  - Energy (By Device)","description":"Kasa Collector provides a way of collecting real-time energy data from  Kasa Smart Plugs. 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If you choose a single device that happens to be a power strip, only the plugs for that power strip will be shown in the Plugs dropdown.\n\nMore details on these Kasa Collector dashboards may be found:\n\nGithub Project: [https://github.com/lux4rd0/kasa-collector/](https://github.com/lux4rd0/kasa-collector/)\n\nWeb Site: [https://labs.lux4rd0.com/kasa-collector/](https://labs.lux4rd0.com/kasa-collector/)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-07-23T03:53:17.000Z","updatedAt":"2024-10-03T21:05:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14762"},{"rel":"revisions","href":"/dashboards/14762/revisions"},{"rel":"revision","href":"/dashboards/14762/revisions/4"},{"rel":"download","href":"/dashboards/14762/revisions/4/download"},{"rel":"org","href":"/orgs/lux4rd0labs"},{"rel":"images","href":"/dashboards/14762/images"},{"rel":"thumbnails","href":"/dashboards/14762/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14772,"status":1,"statusCode":"active","orgId":413891,"orgSlug":"lux4rd0labs","orgName":"Lux4rd0 Labs","slug":"kasa-collector-energy-by-measurement","downloads":846,"revisionId":34502,"revision":3,"name":"Kasa Collector  - Energy (By Measurement)","description":"Kasa Collector provides a way of collecting real-time energy data from  Kasa Smart Plugs. 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This dashboard is designed for detailed energy analysis and performance monitoring.\r\n\r\nMore details on these Kasa Collector dashboards may be found:\r\n\r\nGithub Project: [https://github.com/lux4rd0/kasa-collector/](https://github.com/lux4rd0/kasa-collector/)\r\n\r\nWeb Site: [https://labs.lux4rd0.com/kasa-collector/](https://labs.lux4rd0.com/kasa-collector/)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-07-26T04:04:18.000Z","updatedAt":"2024-10-03T21:48:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14772"},{"rel":"revisions","href":"/dashboards/14772/revisions"},{"rel":"revision","href":"/dashboards/14772/revisions/3"},{"rel":"download","href":"/dashboards/14772/revisions/3/download"},{"rel":"org","href":"/orgs/lux4rd0labs"},{"rel":"images","href":"/dashboards/14772/images"},{"rel":"thumbnails","href":"/dashboards/14772/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20059,"status":1,"statusCode":"active","orgId":998401,"orgSlug":"malwi","orgName":"malwi","slug":"kasa-collector-energy-by-measurement","downloads":257,"revisionId":30831,"revision":1,"name":"Kasa Collector  - Energy (By Measurement)","description":"Kasa Collector provides a way of collecting real-time energy data from  Kasa Smart Plugs. 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These Grafana dashboards offer visualizations for their Current, Voltage, Power, and Total Watt Hours.","readme":"The Energy (By Time) dashboard summarizes energy consumption and costs for devices and individual plugs over time. The Watt Hours panel shows the energy usage of each device per day, allowing for easy comparison of consumption patterns. A separate Plug panel details the energy usage of specific plugs on power strips, giving a granular view of power distribution across connected devices. The Cost panels provide the estimated daily cost of running each device and plug, helping you track energy expenses. You can monitor these trends across multiple days to identify usage patterns and adjust settings accordingly.\r\n\r\nMore details on these Kasa Collector dashboards may be found:\r\n\r\nGithub Project: [https://github.com/lux4rd0/kasa-collector/](https://github.com/lux4rd0/kasa-collector/)\r\n\r\nWeb Site: [https://labs.lux4rd0.com/kasa-collector/](https://labs.lux4rd0.com/kasa-collector/)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-10-03T21:07:08.000Z","updatedAt":"2024-10-03T21:49:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22014"},{"rel":"revisions","href":"/dashboards/22014/revisions"},{"rel":"revision","href":"/dashboards/22014/revisions/1"},{"rel":"download","href":"/dashboards/22014/revisions/1/download"},{"rel":"org","href":"/orgs/lux4rd0labs"},{"rel":"images","href":"/dashboards/22014/images"},{"rel":"thumbnails","href":"/dashboards/22014/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22015,"status":1,"statusCode":"active","orgId":413891,"orgSlug":"lux4rd0labs","orgName":"Lux4rd0 Labs","slug":"kasa-collector-status","downloads":640,"revisionId":34504,"revision":1,"name":"Kasa Collector  - Status","description":"Kasa Collector provides a way of collecting real-time energy data from  Kasa Smart Plugs. These Grafana dashboards offer visualizations for their Current, Voltage, Power, and Total Watt Hours.","readme":"The Status dashboard provides real-time power consumption monitoring for devices and plugs across the network. It displays combined metrics for power, watt-hours, current, and voltage at the top, offering a snapshot of overall energy usage. The device panel shows the current power draw for each device, with dynamic graphs that visualize their consumption over time. A separate panel tracks power usage for individual plugs, giving detailed insight into the energy consumption of each connected plug. This dashboard is designed for continuous monitoring, allowing users to assess device activity and energy performance at a glance quickly.\r\n\r\nMore details on these Kasa Collector dashboards may be found:\r\n\r\nGithub Project: [https://github.com/lux4rd0/kasa-collector/](https://github.com/lux4rd0/kasa-collector/)\r\n\r\nWeb Site: [https://labs.lux4rd0.com/kasa-collector/](https://labs.lux4rd0.com/kasa-collector/)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-10-03T21:08:26.000Z","updatedAt":"2024-10-03T21:49:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22015"},{"rel":"revisions","href":"/dashboards/22015/revisions"},{"rel":"revision","href":"/dashboards/22015/revisions/1"},{"rel":"download","href":"/dashboards/22015/revisions/1/download"},{"rel":"org","href":"/orgs/lux4rd0labs"},{"rel":"images","href":"/dashboards/22015/images"},{"rel":"thumbnails","href":"/dashboards/22015/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23835,"status":1,"statusCode":"active","orgId":1367251,"orgSlug":"veselinyanev","orgName":"veselinyanev","slug":"kaspa-node-monitoring-dashboard","downloads":175,"revisionId":37960,"revision":1,"name":"Kaspa Node Monitoring Dashboard","description":"Kaspa Node Monitoring Dashboard with DAG Metrics, Network Health, and Performance Insights","readme":"# Kaspa Node Monitoring Dashboard\r\n\r\nA comprehensive Grafana dashboard for monitoring Kaspa blockchain nodes with real-time metrics and health indicators.\r\n\r\n## Features\r\n\r\n### 📊 Core Metrics\r\n- **Node Health Status** - Exporter, node responsiveness, and sync status\r\n- **Block & DAG Info** - Latest block numbers and DAG tips count\r\n- **Block Timing** - Last block timestamp and time since last block\r\n\r\n### 🌐 Network Metrics\r\n- **Network Hashrate & Difficulty** - Real-time network security metrics\r\n- **Virtual DAA Score** - Key Kaspa metric showing cumulative work\r\n- **Block Time Monitoring** - Network performance indicators\r\n- **DAG Tips Count** - Parallel block creation health\r\n\r\n### 🔄 Activity Monitoring\r\n- **Mempool Activity** - Pending transactions and mempool size\r\n- **Peer Connections** - Network connectivity status\r\n- **Port Connectivity** - gRPC and JSON-RPC port accessibility\r\n\r\n### ⚙️ Configuration\r\n- **Node Features** - UTXO index, notifications, network type\r\n- **Server Version** - Version information display\r\n- **System Timestamps** - Monitoring and health timestamps\r\n\r\n## Requirements\r\n\r\n- Grafana 8.0+ (tested with 10.0+)\r\n- Prometheus data source\r\n- [Kaspa Prometheus Exporter](https://github.com/your-repo/kaspa-exporter) running\r\n\r\n## Installation\r\n\r\n1. Import the dashboard JSON into Grafana\r\n2. Configure your Prometheus datasource\r\n3. Set the appropriate job and instance variables\r\n4. Customize time ranges and refresh intervals as needed\r\n\r\n## Variables\r\n\r\n- **Datasource** - Select your Prometheus instance\r\n- **Job** - Prometheus job name for Kaspa exporter\r\n- **Instance** - Specific Kaspa node instance\r\n\r\n## Alerts\r\n\r\nConfigure alerts based on key metrics:\r\n- Node sync status (`kaspa_is_synced`)\r\n- Block age (`kaspa_block_time_seconds > 30`)\r\n- Peer count (`kaspa_connected_peer_count < 3`)\r\n\r\n## Troubleshooting\r\n\r\n- Ensure the Kaspa exporter is running and accessible\r\n- Verify Prometheus is scraping the exporter endpoint\r\n- Check that the Kaspa node JSON-RPC port (default 18110) is accessible\r\n\r\n## Dashboard Sections\r\n\r\n1. **Node Status & Health** - Critical status indicators\r\n2. **Network & Performance** - Blockchain performance metrics  \r\n3. **Mempool & Network Activity** - Transaction and peer data\r\n4. **Node Configuration & Connectivity** - System configuration\r\n\r\nPerfect for monitoring Kaspa mining operations, node health, and network participation.","collectorType":"nodeExporter","collectorConfig":"Kaspa exporter source\r\nhttps://github.com/vvvesss/kaspa-exporter","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-08-04T07:21:06.000Z","updatedAt":"2025-08-04T08:58:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23835"},{"rel":"revisions","href":"/dashboards/23835/revisions"},{"rel":"revision","href":"/dashboards/23835/revisions/1"},{"rel":"download","href":"/dashboards/23835/revisions/1/download"},{"rel":"org","href":"/orgs/veselinyanev"},{"rel":"images","href":"/dashboards/23835/images"},{"rel":"thumbnails","href":"/dashboards/23835/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22628,"status":1,"statusCode":"active","orgId":1034806,"orgSlug":"roghuchi","orgName":"roghuchi","slug":"kasper","downloads":366,"revisionId":35660,"revision":1,"name":"Kaspersky Security Center Prometheus Metrics Dashboard","description":"A Grafana dashboard to monitor Kaspersky Security Center metrics exported via Prometheus on port 13296. Provides real-time insights into server health, performance, and security operations.","readme":"# Kaspersky Security Center Prometheus Metrics Dashboard\r\n\r\nThis dashboard is designed to visualize metrics exported from Kaspersky Security Center for Prometheus. The metrics are accessible at https://<server_address>:13296/metrics, where <server_address> is the IP address or domain of your Kaspersky Administration Server.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-01-07T08:30:14.000Z","updatedAt":"2025-01-07T08:32:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22628"},{"rel":"revisions","href":"/dashboards/22628/revisions"},{"rel":"revision","href":"/dashboards/22628/revisions/1"},{"rel":"download","href":"/dashboards/22628/revisions/1/download"},{"rel":"org","href":"/orgs/roghuchi"},{"rel":"images","href":"/dashboards/22628/images"},{"rel":"thumbnails","href":"/dashboards/22628/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2146,"status":1,"statusCode":"active","orgId":58723,"orgSlug":"stdevel","orgName":"stdevel","slug":"katello-compliance","downloads":681,"revisionId":2824,"revision":1,"name":"Katello compliance overview","description":"This dashboard gives an overview about Foreman/Katello and Red Hat Satellite 6 host and managed systems metrics.","readme":"This dashboard gives an overview about Foreman/Katello and Red Hat Satellite 6 host and managed systems metrics.\r\nFor the Foreman system, it includes CPU and memory metrics. For managed client systems it includes graphs per errata type (security fix, bugfix, other) and a total patch counter per system. 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You need to scrape twice. Once with the \"common\" module and once with a custom module. 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","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-03-28T20:34:27.000Z","updatedAt":"2022-09-23T23:54:55.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15988"},{"rel":"revisions","href":"/dashboards/15988/revisions"},{"rel":"revision","href":"/dashboards/15988/revisions/13"},{"rel":"download","href":"/dashboards/15988/revisions/13/download"},{"rel":"org","href":"/orgs/shtimseht"},{"rel":"images","href":"/dashboards/15988/images"},{"rel":"thumbnails","href":"/dashboards/15988/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21779,"status":1,"statusCode":"active","orgId":1142976,"orgSlug":"keploy","orgName":"keploy","slug":"keploy-dashboard-copy","downloads":267,"revisionId":36192,"revision":3,"name":"Keploy Dashboard","description":"The Keploy Dashboard on Grafana offers real-time visualization of test results, showcasing total, passed, and failed test cases, along with detailed insights into individual tests.","readme":"# Overview\r\nThe Keploy Dashboard on Grafana offers a comprehensive real-time visualization of test results, designed to provide insights at both a high level and granular detail. This dashboard showcases the total number of test cases, along with breakdowns of passed and failed tests, and delivers in-depth insights into individual tests.\r\n\r\n## Features\r\n\r\n1. Real-time Testing Insights: Visualize testing data as it updates, giving instant insights into test outcomes.\r\n2. Detailed Test Analysis: Dig into specific tests, examining failures and passes with accompanying metadata.\r\n3. Flexible Integration: Use Grafana’s Infinity plugin to support dynamic and interactive data visualizations from a JSON data source.\r\n\r\n## Data Source Configuration\r\n\r\n1. Data Source Label: `yesoreyeram-infinity-datasource`\r\n2. Data Source Description: Using Grafana's Infinity plugin, JSON test reports are dynamically integrated into the dashboard. This allows for flexible, interactive analysis, making it possible to filter and query data effectively.\r\n\r\n## Data Collection Process\r\n1. Test Reports in YAML: Keploy generates testing reports in YAML format as part of its core testing workflow.\r\n2. Conversion to JSON: These YAML files are then converted into JSON format to support seamless integration with Grafana.\r\n3. Loading via Infinity Plugin: The JSON files are imported into Grafana through the Infinity plugin, allowing for smooth, real-time data visualization across various Grafana components.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Infinity","privacy":"public","createdAt":"2024-08-28T07:36:22.000Z","updatedAt":"2025-02-20T14:40:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21779"},{"rel":"revisions","href":"/dashboards/21779/revisions"},{"rel":"revision","href":"/dashboards/21779/revisions/3"},{"rel":"download","href":"/dashboards/21779/revisions/3/download"},{"rel":"org","href":"/orgs/keploy"},{"rel":"images","href":"/dashboards/21779/images"},{"rel":"thumbnails","href":"/dashboards/21779/thumbnails"}],"datasourceSlugs":["yesoreyeram-infinity-datasource"]},{"id":18500,"status":1,"statusCode":"active","orgId":834666,"orgSlug":"kerberosioo","orgName":"Kerberos.io","slug":"kerberos-hub","downloads":355,"revisionId":40540,"revision":14,"name":"Kerberos Hub","description":"This dashboard provides insights into your Kerberos Hub deployment.","readme":"When installing Hub inside your Kubernetes cluster several microservices are configured and deployed. The engine \"Hub Pipeline\" is orchestrating messages from various message brokers (Kafka, RabbitMQ, SQS, etc) to the various microservices. \r\n\r\nThis dashboard provides insights of what is happening in the Hub microservices, so you have a better understanding of how the entire deployment is behaving (execution times, etc).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-04-12T06:36:54.000Z","updatedAt":"2026-04-18T16:53:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18500"},{"rel":"revisions","href":"/dashboards/18500/revisions"},{"rel":"revision","href":"/dashboards/18500/revisions/14"},{"rel":"download","href":"/dashboards/18500/revisions/14/download"},{"rel":"org","href":"/orgs/kerberosioo"},{"rel":"images","href":"/dashboards/18500/images"},{"rel":"thumbnails","href":"/dashboards/18500/thumbnails"}]},{"id":18612,"status":1,"statusCode":"active","orgId":275428,"orgSlug":"dongjiang1989","orgName":"kubeservice-stack","slug":"kernel-ebpf-hook","downloads":541,"revisionId":28532,"revision":1,"name":"kernel eBPF hook","description":"Add ebpf-exporter metrics dashboard","readme":"# Kubeservice eBPF Exporter\r\n\r\n`eBPF Exporter` is a Prometheus exporter for custom eBPF metrics.\r\n\r\n[Kubeservice eBPF Exporter](https://github.com/kubeservice-stack/ebpf_exporter) motivation of this exporter is to allow you to write eBPF code and export metrics that are not otherwise accessible from the Linux kernel.\r\n\r\nThis chart creates a [Kubeservice eBPF Exporter](https://github.com/kubeservice-stack/ebpf_exporter) deployment on a [Kubernetes](http://kubernetes.io) cluster using the [Helm](https://helm.sh) package manager.\r\n\r\n## Source Code\r\n\r\n* <https://github.com/kubeservice-stack/ebpf_exporter>\r\n\r\n## Requirements\r\n\r\nKubernetes 1.13+\r\nKernel 4.15+ \r\n\r\n## Add Helm repository\r\n\r\n```console\r\nhelm repo add kubeservice-stack https://kubeservice-stack.github.io/kubservice-charts\r\nhelm repo update\r\n```\r\n\r\n_See [`helm repo`](https://helm.sh/docs/helm/helm_repo/) for command documentation._\r\n\r\n## Install Chart\r\n\r\n```console\r\nhelm install [RELEASE_NAME] kubeservice-ebpf-exporter\r\n```\r\n\r\n_See [configuration](#configuration) below._\r\n\r\n_See [helm install](https://helm.sh/docs/helm/helm_install/) for command documentation._\r\n\r\n## Uninstall Chart\r\n\r\n```console\r\nhelm uninstall [RELEASE_NAME]\r\n```\r\n\r\nThis removes all the Kubernetes components associated with the chart and deletes the release.\r\n\r\n_See [helm uninstall](https://helm.sh/docs/helm/helm_uninstall/) for command documentation._\r\n\r\n## Upgrading Chart\r\n\r\n```console\r\nhelm upgrade [RELEASE_NAME] [CHART] --install\r\n```\r\n\r\n_See [helm upgrade](https://helm.sh/docs/helm/helm_upgrade/) for command documentation._\r\n\r\n## Configuration\r\n\r\nSee [Customizing the Chart Before Installing](https://helm.sh/docs/intro/using_helm/#customizing-the-chart-before-installing). To see all configurable options with detailed comments, visit the chart's [values.yaml](./values.yaml), or run these configuration commands:\r\n\r\n```console\r\n# Helm 2\r\n$ helm inspect values kubeservice-ebpf-exporter\r\n\r\n# Helm 3\r\n$ helm show values kubeservice-ebpf-exporter\r\n```\r\n\r\nSee [kubeservice-stack/ebpf_exporter/README.md](https://github.com/kubeservice-stack/ebpf_exporter) for further information.\r\n\r\n## Values\r\n\r\nParameter | Description | Default\r\n--------- | ----------- | -------\r\n`image.repository` | image repository | `dongjiang1989/ebpf-exporter`\r\n`image.tag` | image tag | `latest`\r\n`image.pullPolicy` |  image pull policy | `IfNotPresent`\r\n`service.type` | service type | `ClusterIP`\r\n`service.port` | service port | `80`\r\n`service.annotations` | service annotations | `{}`\r\n`resources` | resource requests of the pods in the daemonset | `{}`\r\n`podAnnotations` | annotations of pods in daemonset | `{}`\r\n`nodeSelector` | node selector rules | `{}`\r\n`tolerations` | node tolerations | `- effect: NoSchedule  operator: Exists`\r\n`affinity` | pod affinity rules | `{}`\r\n\r\n----------------------------------------------\r\nAutogenerated from chart metadata using [helm-docs v1.4.0](https://github.com/norwoodj/helm-docs/releases/v1.4.0)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-27T01:56:19.000Z","updatedAt":"2023-05-14T01:30:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18612"},{"rel":"revisions","href":"/dashboards/18612/revisions"},{"rel":"revision","href":"/dashboards/18612/revisions/1"},{"rel":"download","href":"/dashboards/18612/revisions/1/download"},{"rel":"org","href":"/orgs/dongjiang1989"},{"rel":"images","href":"/dashboards/18612/images"},{"rel":"thumbnails","href":"/dashboards/18612/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23178,"status":1,"statusCode":"active","orgId":458139,"orgSlug":"petabridge","orgName":"petabridge","slug":"kestrel-metrics","downloads":997,"revisionId":36677,"revision":1,"name":"Kestrel Metrics","description":"Low-level performance metrics from ASP.NET Core Kestrel","readme":"# Kestrel Connections Dashboard\r\n\r\nThis Grafana dashboard provides detailed monitoring and visualization of [ASP.NET Core Kestrel web server](https://learn.microsoft.com/en-us/aspnet/core/fundamentals/servers/kestrel) performance metrics. It focuses on connection-level metrics that are crucial for understanding your web application's performance and behavior at the server level.\r\n\r\n## Source Code\r\n\r\nView source for this dashboard here: [https://github.com/petabridge/dotnet-grafana-dashboards/blob/master/kestrel/README.md](https://github.com/petabridge/dotnet-grafana-dashboards/blob/master/kestrel/README.md)\r\n\r\n## Dashboard Overview\r\n\r\nThe dashboard includes metrics for:\r\n- Connection duration percentiles (p50, p75, p90, p98, p99)\r\n- Active and queued connections\r\n- Connections per instance of each application\r\n\r\n## Prerequisites\r\n\r\nTo use this dashboard, you need to have the [`OpenTelemetry.Instrumentation.AspNetCore`](https://www.nuget.org/packages/OpenTelemetry.Instrumentation.AspNetCore) package installed in your .NET application:\r\n\r\n```xml\r\n<ItemGroup>\r\n    <PackageReference Include=\"OpenTelemetry.Instrumentation.AspNetCore\" Version=\"{version}\" />\r\n</ItemGroup>\r\n```\r\n\r\nThis dashboard is designed to work with Prometheus and the OTLP Exporter. \r\n\r\n```csharp\r\nvar builder = WebApplication.CreateBuilder(args);\r\n\r\nbuilder.Services.AddOpenTelemetry()\r\n    .WithMetrics(metrics =>\r\n    {\r\n        metrics\r\n            // OTHER METRICS SOURCES\r\n            .AddAspNetCoreInstrumentation();\r\n            \r\n    })\r\n    // traces, et al\r\n    .UseOtlpExporter();\r\n\r\nvar app = builder.Build();\r\n```\r\n\r\n## Installation\r\n\r\n1. Import the dashboard into Grafana from Grafana Cloud:\r\n\r\n2. Import the dashboard into Grafana as a JSON file:\r\n   - Open Grafana\r\n   - Navigate to Dashboards > Import\r\n   - Click \"Upload JSON file\"\r\n   - Select the [`kestrel-connections-dashboard.json`](kestrel-connections-dashboard.json) file\r\n   - Select your Prometheus data source\r\n   - Click \"Import\"\r\n\r\n## Metrics Explanation\r\n\r\n- **Connection Duration**: Shows how long Kestrel connections stay open, broken down by percentiles\r\n- **Active Connections**: Real-time count of current open connections\r\n- **Connection Rate**: Number of new connections per second\r\n- **Queue Length**: Number of connections waiting to be 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KeyCloak Metrics","readme":"# Keycloak Grafana Dashboard\r\n\r\n## Description\r\n\r\nIncludes a [KeyCloak](https://www.keycloak.org/) Grafana dashboard to display the Quarkus MicroProfile metrics.  \r\n\r\n## Functionality\r\n\r\nVisualize the corresponding KeyCloak Quarkus MicroProfile metrics from the selected Grafana data source.\r\n\r\n## Changelog\r\n- Version 1: Initialization of the first version of the Quarkus-based Keycloak dashboard\r\n- Version 2: The dashboard version includes a switch of the Grafana graph to the time-series type\r\n- Version 3: Adjust the dashboard to support the Keycloak version 25 metrics\r\n- Version 4: Adjust the dashboard to shrink down the Grafana dashboard file\r\n- Version 5: Adjust the dashboard data source variable name\r\n- Version 6: Adjust the dashboard name\r\n\r\n## GitHub repository\r\n\r\n[Repository](https://github.com/ZPascal/keycloak-grafana-dashboard)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-05-08T09:50:22.000Z","updatedAt":"2025-02-17T21:36:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14390"},{"rel":"revisions","href":"/dashboards/14390/revisions"},{"rel":"revision","href":"/dashboards/14390/revisions/7"},{"rel":"download","href":"/dashboards/14390/revisions/7/download"},{"rel":"org","href":"/orgs/zpascal"},{"rel":"images","href":"/dashboards/14390/images"},{"rel":"thumbnails","href":"/dashboards/14390/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10441,"status":1,"statusCode":"active","orgId":259274,"orgSlug":"demisr","orgName":"demisr","slug":"keycloak-metrics-dashboard","downloads":30012409,"revisionId":24011,"revision":2,"name":"Keycloak Metrics 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APIs Monitoring","description":"Template de monitoração do Kong usando o plugin disponível em 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Elasticsearchstatus_codes, pie-chart, top 10 clientip, line-chart,word-map and etc...","readme":"# tcp-log.yaml ( kong deployed in kubernets)\n```\napiVersion: configuration.konghq.com/v1\nkind: KongPlugin\nmetadata:\n  name: tcp-log\n  labels:\n    global: \"true\"\nconfig:\n  host: logstash.logstash\n  port: 1514\nplugin: tcp-log\n```\n# helm install logstash\nvalues.yaml\n```\nreplicaCount: 1\n\npodDisruptionBudget:\n  maxUnavailable: 1\n\nupdateStrategy:\n  type: RollingUpdate\n\nterminationGracePeriodSeconds: 30\n\nimage:\n  repository: docker.elastic.co/logstash/logstash-oss\n  tag: 6.7.0\n  pullPolicy: IfNotPresent\n  ## Add secrets manually via kubectl on kubernetes cluster and reference here\n  #  pullSecrets:\n  #    - name: \"myKubernetesSecret\"\n\nservice:\n  type: ClusterIP\n  # clusterIP: None\n  # nodePort:\n  # Set this to local, to preserve client source ip.  Default stripes out the source ip\n  # externalTrafficPolicy: Local\n  annotations: {}\n    ## AWS example for use with LoadBalancer service type.\n    # external-dns.alpha.kubernetes.io/hostname: logstash.cluster.local\n    # service.beta.kubernetes.io/aws-load-balancer-cross-zone-load-balancing-enabled: \"true\"\n    # service.beta.kubernetes.io/aws-load-balancer-internal: \"true\"\n  ports:\n    # syslog-udp:\n    #   port: 1514\n    #   targetPort: syslog-udp\n    #   protocol: UDP\n     syslog-tcp:\n       port: 1514\n       targetPort: syslog-tcp\n       protocol: TCP\n    #beats:\n    #  port: 5044\n    #  targetPort: beats\n    #  protocol: TCP\n    # http:\n    #  port: 8080\n    #  targetPort: http\n    #  protocol: TCP\n    # loadBalancerIP: 10.0.0.1\nports:\n  # - name: syslog-udp\n  #   containerPort: 1514\n  #   protocol: UDP\n   - name: syslog-tcp\n     containerPort: 1514\n     protocol: TCP\n  #- name: beats\n  #  containerPort: 5044\n  #  protocol: TCP\n  # - name: http\n  #   containerPort: 8080\n  #   protocol: TCP\n\ningress:\n  enabled: false\n  annotations: {}\n    # kubernetes.io/ingress.class: nginx\n    # kubernetes.io/tls-acme: \"true\"\n  path: /\n  hosts:\n    - logstash.cluster.local\n  tls: []\n  #  - secretName: logstash-tls\n  #    hosts:\n  #      - logstash.cluster.local\n\nresources: {}\n  # We usually recommend not to specify default resources and to leave this as a conscious\n  # choice for the user. This also increases chances charts run on environments with little\n  # resources, such as Minikube. If you do want to specify resources, uncomment the following\n  # lines, adjust them as necessary, and remove the curly braces after 'resources:'.\n  # limits:\n  #  cpu: 100m\n  #  memory: 128Mi\n  # requests:\n  #  cpu: 100m\n  #  memory: 128Mi\n\npriorityClassName: \"\"\n\nnodeSelector: {}\n\ntolerations: []\n\nsecurityContext:\n  fsGroup: 1000\n  runAsUser: 1000\n\naffinity: {}\n  # podAntiAffinity:\n  #   requiredDuringSchedulingIgnoredDuringExecution:\n  #     - topologyKey: \"kubernetes.io/hostname\"\n  #       labelSelector:\n  #         matchLabels:\n  #           release: logstash\n\npodAnnotations: {}\n  # iam.amazonaws.com/role: \"logstash-role\"\n  # prometheus.io/scrape: \"true\"\n  # prometheus.io/path: \"/metrics\"\n  # prometheus.io/port: \"9198\"\n\npodLabels: {}\n  # team: \"developers\"\n  # service: \"logstash\"\n\nlivenessProbe:\n  httpGet:\n    path: /\n    port: monitor\n  initialDelaySeconds: 20\n  # periodSeconds: 30\n  # timeoutSeconds: 30\n  # failureThreshold: 6\n  # successThreshold: 1\n\nreadinessProbe:\n  httpGet:\n    path: /\n    port: monitor\n  initialDelaySeconds: 20\n  # periodSeconds: 30\n  # timeoutSeconds: 30\n  # failureThreshold: 6\n  # successThreshold: 1\n\npersistence:\n  enabled: false\n  ## logstash data Persistent Volume Storage Class\n  ## If defined, storageClassName: <storageClass>\n  ## If set to \"-\", storageClassName: \"\", which disables dynamic provisioning\n  ## If undefined (the default) or set to null, no storageClassName spec is\n  ##   set, choosing the default provisioner.  (gp2 on AWS, standard on\n  ##   GKE, AWS & OpenStack)\n  ##\n  # storageClass: \"-\"\n  accessMode: ReadWriteOnce\n  size: 2Gi\n\nvolumeMounts:\n  - name: data\n    mountPath: /usr/share/logstash/data\n  - name: patterns\n    mountPath: /usr/share/logstash/patterns\n  - name: pipeline\n    mountPath: /usr/share/logstash/pipeline\n\nvolumes: []\n  # - name: tls\n  #   secret:\n  #     secretName: logstash-tls\n  # - name: pipeline\n  #   configMap:\n  #     name: logstash-pipeline\n  # - name: certs\n  #   hostPath:\n  #     path: /tmp\n\nexporter:\n  logstash:\n    enabled: true\n    image:\n      repository: bonniernews/logstash_exporter\n      tag: v0.1.2\n      pullPolicy: IfNotPresent\n    env: {}\n    resources: {}\n    path: /metrics\n    port: 9198\n    target:\n      port: 9600\n      path: /metrics\n    livenessProbe:\n      httpGet:\n        path: /metrics\n        port: ls-exporter\n      periodSeconds: 15\n      timeoutSeconds: 60\n      failureThreshold: 8\n      successThreshold: 1\n    readinessProbe:\n      httpGet:\n        path: /metrics\n        port: ls-exporter\n      periodSeconds: 15\n      timeoutSeconds: 60\n      failureThreshold: 8\n      successThreshold: 1\n\nelasticsearch:\n  host: elasticsearch-client.efk.svc.cluster.local\n  port: 9200\n\n## ref: https://github.com/elastic/logstash-docker/blob/master/build/logstash/env2yaml/env2yaml.go\nconfig:\n  config.reload.automatic: \"true\"\n  path.config: /usr/share/logstash/pipeline\n  path.data: /usr/share/logstash/data\n\n  ## ref: https://www.elastic.co/guide/en/logstash/current/persistent-queues.html\n  queue.checkpoint.writes: 1\n  queue.drain: \"true\"\n  queue.max_bytes: 1gb  # disk capacity must be greater than the value of `queue.max_bytes`\n  queue.type: persisted\n\n## Patterns for filters.\n## Each YAML heredoc will become a separate pattern file.\npatterns:\n  # main: |-\n  #   TESTING {\"foo\":.*}$\n\n## NOTE: To achieve multiple pipelines with this chart, current best practice\n## is to maintain one pipeline per chart release. In this way configuration is\n## simplified and pipelines are more isolated from one another.\n\ninputs:\n  main: |-\n    input {\n      # udp {\n      #   port => 1514\n      #   type => syslog\n      # }\n       tcp {\n         port => 1514\n         type => syslog\n         codec => json\n       }\n      #beats {\n      #  port => 5044\n      #}\n      # http {\n      #   port => 8080\n      # }\n      # kafka {\n      #   ## ref: https://www.elastic.co/guide/en/logstash/current/plugins-inputs-kafka.html\n      #   bootstrap_servers => \"kafka-input:9092\"\n      #   codec => json { charset => \"UTF-8\" }\n      #   consumer_threads => 1\n      #   topics => [\"source\"]\n      #   type => \"example\"\n      # }\n    }\n\nfilters:\n   main: |-\n     filter {\n       geoip {\n         source => \"client_ip\"\n       }\n     }\n\noutputs:\n  main: |-\n    output {\n      stdout { codec => rubydebug }\n      elasticsearch {\n        hosts => [\"${ELASTICSEARCH_HOST}:${ELASTICSEARCH_PORT}\"]\n        manage_template => true\n        index => \"logstash-kong-http-log-%{+YYYY.MM.dd}\"\n      }\n      # kafka {\n      #   ## ref: https://www.elastic.co/guide/en/logstash/current/plugins-outputs-kafka.html\n      #   bootstrap_servers => \"kafka-output:9092\"\n      #   codec => json { charset => \"UTF-8\" }\n      #   compression_type => \"lz4\"\n      #   topic_id => \"destination\"\n      # }\n    }\n```\n# helm install  elasticsearch\npass\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2019-05-09T02:51:17.000Z","updatedAt":"2019-05-09T03:01:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10162"},{"rel":"revisions","href":"/dashboards/10162/revisions"},{"rel":"revision","href":"/dashboards/10162/revisions/1"},{"rel":"download","href":"/dashboards/10162/revisions/1/download"},{"rel":"org","href":"/orgs/vincentliu"},{"rel":"images","href":"/dashboards/10162/images"},{"rel":"thumbnails","href":"/dashboards/10162/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":15662,"status":1,"statusCode":"active","orgId":159212,"orgSlug":"konghq","orgName":"konghq","slug":"kong-ingress-controller","downloads":133847,"revisionId":26199,"revision":2,"name":"Kong ingress controller","description":"","readme":"Dashboard that graphs Prometheus metrics exported by Kong's [kubernetes-ingress-controller](https://github.com/Kong/kubernetes-ingress-controller). ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2022-02-01T23:39:18.000Z","updatedAt":"2022-09-28T12:24:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15662"},{"rel":"revisions","href":"/dashboards/15662/revisions"},{"rel":"revision","href":"/dashboards/15662/revisions/2"},{"rel":"download","href":"/dashboards/15662/revisions/2/download"},{"rel":"org","href":"/orgs/konghq"},{"rel":"images","href":"/dashboards/15662/images"},{"rel":"thumbnails","href":"/dashboards/15662/thumbnails"}]},{"id":9591,"status":1,"statusCode":"active","orgId":227211,"orgSlug":"gyengus","orgName":"gyengus","slug":"kong-overview","downloads":546,"revisionId":13282,"revision":1,"name":"Kong overview","description":"Show metrics from Kong status endpoint","readme":"","collectorType":"Telegraf","collectorConfig":"```\n[[inputs.http]]\n   urls = [\n     \"http://YOUR_KONG_ADDRESS:8001/status\"\n   ]\n    data_format = \"json\"\n    name_prefix = \"kong.\"\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-01-03T15:26:51.000Z","updatedAt":"2019-01-03T15:31:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9591"},{"rel":"revisions","href":"/dashboards/9591/revisions"},{"rel":"revision","href":"/dashboards/9591/revisions/1"},{"rel":"download","href":"/dashboards/9591/revisions/1/download"},{"rel":"org","href":"/orgs/gyengus"},{"rel":"images","href":"/dashboards/9591/images"},{"rel":"thumbnails","href":"/dashboards/9591/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":6486,"status":1,"statusCode":"active","orgId":158097,"orgSlug":"hbagdi","orgName":"hbagdi","slug":"kong-prometheus-exporter","downloads":662,"revisionId":8820,"revision":1,"name":"Kong Prometheus Exporter","description":"Export Kong metrics","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-06-13T06:09:11.000Z","updatedAt":"2018-06-13T06:10:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6486"},{"rel":"revisions","href":"/dashboards/6486/revisions"},{"rel":"revision","href":"/dashboards/6486/revisions/1"},{"rel":"download","href":"/dashboards/6486/revisions/1/download"},{"rel":"org","href":"/orgs/hbagdi"},{"rel":"images","href":"/dashboards/6486/images"},{"rel":"thumbnails","href":"/dashboards/6486/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10743,"status":1,"statusCode":"active","orgId":278292,"orgSlug":"jay001","orgName":"jay001","slug":"kong-prometheus-exporter","downloads":464,"revisionId":14995,"revision":1,"name":"Kong Prometheus Exporter","description":"Export Kong 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prometheus statsd_exporter in Kong (http://github.com/kong/kong)","readme":"Dashboard graphing metrics collected via\r\n\r\nhttps://github.com/Kong/kong/tree/master/kong/plugins/statsd","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-09-09T07:43:13.000Z","updatedAt":"2022-09-14T08:16:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16897"},{"rel":"revisions","href":"/dashboards/16897/revisions"},{"rel":"revision","href":"/dashboards/16897/revisions/1"},{"rel":"download","href":"/dashboards/16897/revisions/1/download"},{"rel":"org","href":"/orgs/konghq"},{"rel":"images","href":"/dashboards/16897/images"},{"rel":"thumbnails","href":"/dashboards/16897/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11870,"status":1,"statusCode":"active","orgId":159212,"orgSlug":"konghq","orgName":"konghq","slug":"kong-vitals-prometheus-official","downloads":3331,"revisionId":29962,"revision":6,"name":"Kong Vitals Prometheus (official)","description":"Dashboard that graphs metrics exported via Kong Enterprise Vitals Prometheus (https://docs.konghq.com/enterprise/1.3-x/admin-api/vitals/vitals-prometheus-strategy/)","readme":"Dashboard that graphs metrics exported via Kong Enterprise Vitals Prometheus (https://docs.konghq.com/enterprise/1.3-x/admin-api/vitals/vitals-prometheus-strategy/)\n\nThis is not the dashboard for Kong Prometheus plugin, the later can be found at https://grafana.com/grafana/dashboards/7424.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-09T05:55:30.000Z","updatedAt":"2023-09-11T09:41:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11870"},{"rel":"revisions","href":"/dashboards/11870/revisions"},{"rel":"revision","href":"/dashboards/11870/revisions/6"},{"rel":"download","href":"/dashboards/11870/revisions/6/download"},{"rel":"org","href":"/orgs/konghq"},{"rel":"images","href":"/dashboards/11870/images"},{"rel":"thumbnails","href":"/dashboards/11870/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7082,"status":1,"statusCode":"active","orgId":170834,"orgSlug":"slok","orgName":"Xabier Larrakoetxea","slug":"kooper-controllers","downloads":1177,"revisionId":10505,"revision":3,"name":"Kooper controllers","description":"A simple dashboard to check how Kubernetes controllers and operators are performing. This Is based on the metrics exposed by Kooper framework. Kooper is a framework to create Kubernetes operators and controllers.","readme":"## Description\r\nA simple dashboard to check how Kubernetes controllers and operators are performing. This Is based on the metrics exposed by [Kooper][kooper-repo] framework. Kooper is a framework to create Kubernetes operators and controllers.\r\n\r\n## Requirements\r\n\r\n* The minimum required version of kooper is [v0.4.0][kooper-v0404]\r\n\r\n## Features\r\nThe dashboard has various single stats:\r\n- The rate of processing resource events (sent by the apiserver) by the controller per second.\r\n- The throughtput of the queued resource events (queued vs processed)\r\n- The duration of processing of each resource events.\r\n- The rate of errors of processing events.\r\n\r\n[kooper-repo]: https://github.com/spotahome/kooper\r\n[kooper-v0404]: https://github.com/spotahome/kooper/releases/tag/v0.4.0","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-21T07:16:11.000Z","updatedAt":"2018-08-29T11:55:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7082"},{"rel":"revisions","href":"/dashboards/7082/revisions"},{"rel":"revision","href":"/dashboards/7082/revisions/3"},{"rel":"download","href":"/dashboards/7082/revisions/3/download"},{"rel":"org","href":"/orgs/slok"},{"rel":"images","href":"/dashboards/7082/images"},{"rel":"thumbnails","href":"/dashboards/7082/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19863,"status":1,"statusCode":"active","orgId":618758,"orgSlug":"yonahd","orgName":"yonahd","slug":"kor-dashboard","downloads":618,"revisionId":30659,"revision":3,"name":"Kor Dashboard","description":"A Dashboard to view unused resources in Kubernetes","readme":"A dashboard for https://github.com/yonahd/kor when exporting metrics","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-10-26T10:17:35.000Z","updatedAt":"2023-11-09T15:18:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19863"},{"rel":"revisions","href":"/dashboards/19863/revisions"},{"rel":"revision","href":"/dashboards/19863/revisions/3"},{"rel":"download","href":"/dashboards/19863/revisions/3/download"},{"rel":"org","href":"/orgs/yonahd"},{"rel":"images","href":"/dashboards/19863/images"},{"rel":"thumbnails","href":"/dashboards/19863/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19892,"status":1,"statusCode":"active","orgId":977733,"orgSlug":"yunisa","orgName":"yunisa","slug":"kor-dashboard","downloads":265,"revisionId":30564,"revision":1,"name":"Kor Dashboard","description":"A Dashboard to view unused resources in Kubernetes","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-10-31T09:48:35.000Z","updatedAt":"2023-10-31T09:49:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19892"},{"rel":"revisions","href":"/dashboards/19892/revisions"},{"rel":"revision","href":"/dashboards/19892/revisions/1"},{"rel":"download","href":"/dashboards/19892/revisions/1/download"},{"rel":"org","href":"/orgs/yunisa"},{"rel":"images","href":"/dashboards/19892/images"},{"rel":"thumbnails","href":"/dashboards/19892/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15029,"status":1,"statusCode":"active","orgId":543931,"orgSlug":"krakendio","orgName":"krakendio","slug":"krakend","downloads":1460,"revisionId":22450,"revision":1,"name":"KrakenD - Influx v1","description":"Official Grafana dashboard for krakend metrics. 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Feeds from Prometheus using PromQL queries.","readme":"This dashboard feeds from a Prometheus datasource populated automatically by KrakenD `ai/llm` component metrics using the component `telemetry/opentelemetry`.\r\n\r\nThe dashboard is focused on AI and LLM usage and offers you per AI provider metrics like: total token usage, input tokens and output tokens.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-02-13T15:09:54.000Z","updatedAt":"2026-03-11T13:16:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24868"},{"rel":"revisions","href":"/dashboards/24868/revisions"},{"rel":"revision","href":"/dashboards/24868/revisions/1"},{"rel":"download","href":"/dashboards/24868/revisions/1/download"},{"rel":"org","href":"/orgs/krakendio"},{"rel":"images","href":"/dashboards/24868/images"},{"rel":"thumbnails","href":"/dashboards/24868/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22518,"status":1,"statusCode":"active","orgId":543931,"orgSlug":"krakendio","orgName":"krakendio","slug":"krakend-websockets","downloads":12,"revisionId":35411,"revision":1,"name":"KrakenD Websockets","description":"Metrics collected from websockets","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-12-12T20:09:14.000Z","updatedAt":"2026-03-12T12:36:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22518"},{"rel":"revisions","href":"/dashboards/22518/revisions"},{"rel":"revision","href":"/dashboards/22518/revisions/1"},{"rel":"download","href":"/dashboards/22518/revisions/1/download"},{"rel":"org","href":"/orgs/krakendio"},{"rel":"images","href":"/dashboards/22518/images"},{"rel":"thumbnails","href":"/dashboards/22518/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18321,"status":1,"statusCode":"active","orgId":819208,"orgSlug":"supportepmdedp","orgName":"epmdedp","slug":"krci-tekton-overview","downloads":914,"revisionId":33743,"revision":5,"name":"KRCI Tekton overview","description":"This is a dashboard for Tekton.\r\n","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-20T18:03:42.000Z","updatedAt":"2024-07-25T13:02:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18321"},{"rel":"revisions","href":"/dashboards/18321/revisions"},{"rel":"revision","href":"/dashboards/18321/revisions/5"},{"rel":"download","href":"/dashboards/18321/revisions/5/download"},{"rel":"org","href":"/orgs/supportepmdedp"},{"rel":"images","href":"/dashboards/18321/images"},{"rel":"thumbnails","href":"/dashboards/18321/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21068,"status":1,"statusCode":"active","orgId":1122238,"orgSlug":"aki25","orgName":"Kronos","slug":"kronosboard","downloads":266,"revisionId":32761,"revision":1,"name":"KronosBoard","description":"This Grafana dashboard provides insights into the resource scheduling of resources within each namespace in your Kubernetes cluster.","readme":"[![Artifact Hub](https://img.shields.io/endpoint?url=https://artifacthub.io/badge/repository/kronos-core)](https://artifacthub.io/packages/search?repo=kronos-core)\r\n![Docker Pulls](https://img.shields.io/docker/pulls/kronosorg/kronos-core?style=flat-square&logo=docker)\r\n[![Github](https://img.shields.io/badge/Github-Repository-lightgrey?logo=github&logoColor=white)](https://github.com/KronosOrg/kronos-core)\r\n[![Documentation](https://img.shields.io/badge/Documentation-KronosDocs-purple)](https://kronosorg.github.io/kronos-docs/)\r\n\r\n# Kronos Kubernetes Operator Grafana Dashboard\r\n\r\nWelcome to the Grafana dashboard for the Kronos Kubernetes Operator! This dashboard provides a comprehensive view of both controller metrics and additional metrics exposed by the custom controller, offering valuable insights into the performance and status of your Kubernetes resources managed by Kronos.\r\n\r\n## Dashboard Overview\r\n\r\nThis dashboard consists of two main sections:\r\n\r\n1. **Controller Metrics**\r\n2. **Custom Controller Metrics**\r\n\r\n### 1. Controller Metrics\r\n\r\nThe controller metrics section provides insights into the resource consumption of your Kubernetes cluster. These metrics include:\r\n\r\n- **CPU Usage**: Displays the CPU consumption of the controller.\r\n- **Memory Usage**: Shows the memory usage of the controller.\r\n- **Number of Workers**: Indicates the number of active workers.\r\n\r\n### 2. Custom Controller Metrics\r\n\r\nThe custom controller metrics section includes specific metrics exposed by the Kronos operator, offering detailed information about the status and operations of the `KronosApp` custom resource. The primary metrics include:\r\n\r\n- **schedule_info**: Provides information about the scheduling status of each KronosApp custom resource.\r\n- **indepth_schedule_info**: Gives detailed insights into the status, reason, next operation, and handled resources for each KronosApp custom resource.\r\n\r\n## Metric Prefix Requirement\r\n\r\nFor this dashboard to function correctly, all metrics must be prefixed with `kronos_`. This ensures that the metrics are correctly identified and displayed within the Grafana dashboard.\r\n\r\n## Configuration Examples\r\n\r\nTo configure Prometheus to scrape the metrics with the required prefix, you can use either a simple Prometheus job configuration or a ServiceMonitor configuration for the Prometheus Operator.\r\n\r\n### Simple Prometheus Job Configuration\r\n\r\n```yaml\r\n- job_name: 'kronos'\r\n  scheme: https\r\n  bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token\r\n  tls_config:\r\n    insecure_skip_verify: true\r\n  kubernetes_sd_configs:\r\n    - role: service\r\n  relabel_configs:\r\n    - source_labels: [__meta_kubernetes_service_name]\r\n      action: keep\r\n      regex: kronos-controller-manager-metrics-service\r\n  metric_relabel_configs:\r\n    - source_labels: [__name__]\r\n      regex: (.*)\r\n      replacement: kronos_$1\r\n      target_label: __name__\r\n```\r\n### ServiceMonitor Configuration for Prometheus Operator\r\n\r\n```yaml\r\napiVersion: monitoring.coreos.com/v1\r\nkind: ServiceMonitor\r\nmetadata:\r\n  labels:\r\n    app: kronos\r\n    control-plane: controller-manager\r\n  name: kronos-controller-manager-metrics-monitor\r\n  namespace: kronos-system\r\nspec:\r\n  endpoints:\r\n  - bearerTokenFile: /var/run/secrets/kubernetes.io/serviceaccount/token\r\n    metricRelabelings:\r\n    - action: replace\r\n      regex: (.*)\r\n      replacement: kronos_$1\r\n      sourceLabels:\r\n      - __name__\r\n      targetLabel: __name__\r\n    path: /metrics\r\n    port: https\r\n    scheme: https\r\n    tlsConfig:\r\n      insecureSkipVerify: true\r\n  selector:\r\n    matchLabels:\r\n      control-plane: controller-manager\r\n```\r\n**Note:** The ServiceMonitor custom resource definition (CRD) is included as part of the Kronos Helm chart and the basic Kronos distribution file. For more information on installing and configuring Kronos, please consult the [installation page](https://kronosorg.github.io/kronos-docs/docs/installation-steps).\r\n\r\n## Setup Instructions\r\n\r\n1. **Import the Dashboard**: Use the provided JSON file to import the dashboard into your Grafana instance.\r\n2. **Configure Data Source**: Ensure your Prometheus data source is correctly configured to scrape metrics from your Kubernetes cluster.\r\n3. **Verify Metric Prefix**: Confirm that all metrics exposed by the Kronos operator are prefixed with `kronos_`.\r\n\r\n## Additional Information\r\n\r\n- **Documentation**: For more detailed information on the Kronos operator and its metrics, please refer to the official [Kronos documentation](https://kronosorg.github.io/kronos-docs/docs/metrics).\r\n- **Support**: If you encounter any issues or have questions, feel free to open an issue on our [GitHub repository](https://github.com/KronosOrg/kronos-core).\r\n\r\n## Contributing\r\n\r\nWe welcome contributions to improve this dashboard. If you have suggestions or enhancements, please open an issue on our GitHub repository.\r\n\r\n---\r\n\r\nThank you for using the Kronos Kubernetes Operator Grafana Dashboard! We hope this tool helps you effectively monitor and manage your Kubernetes resources.\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-05-14T08:39:45.000Z","updatedAt":"2024-05-19T16:39:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21068"},{"rel":"revisions","href":"/dashboards/21068/revisions"},{"rel":"revision","href":"/dashboards/21068/revisions/1"},{"rel":"download","href":"/dashboards/21068/revisions/1/download"},{"rel":"org","href":"/orgs/aki25"},{"rel":"images","href":"/dashboards/21068/images"},{"rel":"thumbnails","href":"/dashboards/21068/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21540,"status":1,"statusCode":"active","orgId":1175485,"orgSlug":"angelapoliana","orgName":"angelapoliana","slug":"krr","downloads":429,"revisionId":33622,"revision":1,"name":"KRR","description":"Dashboards para visualizacao das recomendacoes de Requests e Limits de memoria e CPU fornecidos pelo krr","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-07-17T19:34:16.000Z","updatedAt":"2024-07-17T19:37:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21540"},{"rel":"revisions","href":"/dashboards/21540/revisions"},{"rel":"revision","href":"/dashboards/21540/revisions/1"},{"rel":"download","href":"/dashboards/21540/revisions/1/download"},{"rel":"org","href":"/orgs/angelapoliana"},{"rel":"images","href":"/dashboards/21540/images"},{"rel":"thumbnails","href":"/dashboards/21540/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17969,"status":1,"statusCode":"active","orgId":761361,"orgSlug":"agriffith50","orgName":"agriffith50","slug":"kserve-modelserver-latency","downloads":873,"revisionId":27554,"revision":1,"name":"KServe ModelServer Latency","description":"KServe's ModelServer Metrics Dashboard ","readme":"Latency metrics for pre/post-process, predict, and explain steps & total number of requests\r\nRequires inferenceservices to use KServe >= v0.10. See [KServe observability docs](https://kserve.github.io/website/master/modelserving/observability/prometheus_metrics/) for more info. ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-01-26T19:37:48.000Z","updatedAt":"2023-01-26T19:48:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17969"},{"rel":"revisions","href":"/dashboards/17969/revisions"},{"rel":"revision","href":"/dashboards/17969/revisions/1"},{"rel":"download","href":"/dashboards/17969/revisions/1/download"},{"rel":"org","href":"/orgs/agriffith50"},{"rel":"images","href":"/dashboards/17969/images"},{"rel":"thumbnails","href":"/dashboards/17969/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18026,"status":1,"statusCode":"active","orgId":761361,"orgSlug":"agriffith50","orgName":"agriffith50","slug":"kserve-torchserve-latency","downloads":555,"revisionId":27687,"revision":2,"name":"KServe Torchserve Latency","description":"KServe Torchserve Latency Dashobard ","readme":"Latency metrics for pre/post-process, predict, and explain steps for Torchserve Inference Service with KServe & total number of requests.\r\nRequires inferenceservices to use KServe >= v0.10. 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See [KServe observability docs](https://kserve.github.io/website/master/modelserving/observability/prometheus_metrics/)  for more info.\r\n\r\nSee also: [Triton Inference Server Grafana Dashboard](https://grafana.com/grafana/dashboards/12832-triton-inference-server/)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-01T21:43:12.000Z","updatedAt":"2023-02-02T19:11:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18027"},{"rel":"revisions","href":"/dashboards/18027/revisions"},{"rel":"revision","href":"/dashboards/18027/revisions/2"},{"rel":"download","href":"/dashboards/18027/revisions/2/download"},{"rel":"org","href":"/orgs/agriffith50"},{"rel":"images","href":"/dashboards/18027/images"},{"rel":"thumbnails","href":"/dashboards/18027/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23856,"status":1,"statusCode":"active","orgId":1504732,"orgSlug":"tessadpl","orgName":"tessadpl","slug":"kserve-vllm","downloads":288,"revisionId":38007,"revision":1,"name":"KServe vLLM","description":"Custom KServe dahsboard to use with vLLM backend. All the metrics used start by \"vllm:\".","readme":"In order to scrape KServe metrics, you have to: \r\n1. Change your helm deploy to enable the scrapping:\r\n  ```\r\n  helm upgrade kserve oci://ghcr.io/kserve/charts/kserve \\\r\n  --reuse-values \\\r\n  --set metricsaggregator.enablePrometheusScraping=true\r\n  ```\r\n2. Add an annotation to your inferenceserver:\r\n ```metadata:\r\n        annotations:\r\n           serving.kserve.io/enable-prometheus-scraping: \"true\"\r\n ```\r\n3. Create a servicemonitor:\r\n ```\r\n apiVersion: monitoring.coreos.com/v1\r\n kind: ServiceMonitor\r\n metadata:\r\n    name: <model>\r\n    labels:\r\n       release: prometheus          # must match your Prometheus release name\r\n spec:\r\n   selector:\r\n     matchLabels:\r\n       serving.kserve.io/inferenceservice: <model>\r\n   namespaceSelector:\r\n     matchNames:\r\n       - <namespace>\r\n   endpoints:\r\n     - port: <model-predictor>\r\n       path: /metrics\r\n       interval: 15s\r\n```\r\n\r\nEnjoy !","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-08-08T14:36:40.000Z","updatedAt":"2025-08-08T15:10:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23856"},{"rel":"revisions","href":"/dashboards/23856/revisions"},{"rel":"revision","href":"/dashboards/23856/revisions/1"},{"rel":"download","href":"/dashboards/23856/revisions/1/download"},{"rel":"org","href":"/orgs/tessadpl"},{"rel":"images","href":"/dashboards/23856/images"},{"rel":"thumbnails","href":"/dashboards/23856/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22659,"status":1,"statusCode":"active","orgId":1320771,"orgSlug":"mesverrum","orgName":"mesverrum","slug":"ktranslate-flow-summary","downloads":274,"revisionId":35735,"revision":1,"name":"Ktranslate Flow Summary","description":"Designed to visualize flow data coming in from Kentik's Ktranslate open source flow collector.","readme":"Ktranslate ingests incoming flow from most types of network devices, performs aggregations, filtering, sampling, etc and then converts it to a variety of back end protocols.  In this case we are using the OTel sink to send to Grafana Cloud.  I don't believe the dashboard would need many/any changes if you chose to use the Prometheus sink.\r\n\r\nSee this repo for an easy example for how to deploy Ktranslate with Docker compose to connect it to Grafana.\r\nhttps://github.com/Mesverrum/KtransToGrafana/tree/main\r\n\r\nKentik's Ktranslate repo\r\nhttps://github.com/kentik/ktranslate\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-01-10T03:47:09.000Z","updatedAt":"2025-01-10T05:01:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22659"},{"rel":"revisions","href":"/dashboards/22659/revisions"},{"rel":"revision","href":"/dashboards/22659/revisions/1"},{"rel":"download","href":"/dashboards/22659/revisions/1/download"},{"rel":"org","href":"/orgs/mesverrum"},{"rel":"images","href":"/dashboards/22659/images"},{"rel":"thumbnails","href":"/dashboards/22659/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11010,"status":1,"statusCode":"active","orgId":209463,"orgSlug":"hev","orgName":"Adam Hevenor","slug":"kube-carbon","downloads":400,"revisionId":15395,"revision":1,"name":"Kube Carbon","description":"Cluster carbon footprint calculator","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-10-17T20:32:11.000Z","updatedAt":"2019-10-17T20:38:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11010"},{"rel":"revisions","href":"/dashboards/11010/revisions"},{"rel":"revision","href":"/dashboards/11010/revisions/1"},{"rel":"download","href":"/dashboards/11010/revisions/1/download"},{"rel":"org","href":"/orgs/hev"},{"rel":"images","href":"/dashboards/11010/images"},{"rel":"thumbnails","href":"/dashboards/11010/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9871,"status":1,"statusCode":"active","orgId":237843,"orgSlug":"weeco","orgName":"weeco","slug":"kube-eagle","downloads":64078,"revisionId":13747,"revision":2,"name":"Kube Eagle","description":"Overview of all pod & node resource requests, limits and usages","readme":"# Kube Eagle Dashboard\n\nKube eagle is a prometheus exporter which exports various metrics of kubernetes pod resource requests, limits and it's actual usages. It was created with the purpose to provide a better overview of your kubernetes cluster resources, so that you can optimize the resource allocation. You can easily build, or use our default grafana dashboard which will help you to achieve this goal.\n\n**Note:** This dashboard required prometheus metrics provided by Kube Eagle: [https://github.com/google-cloud-tools/kube-eagle/](https://github.com/google-cloud-tools/kube-eagle/)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-03-02T21:53:56.000Z","updatedAt":"2019-03-04T08:16:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9871"},{"rel":"revisions","href":"/dashboards/9871/revisions"},{"rel":"revision","href":"/dashboards/9871/revisions/2"},{"rel":"download","href":"/dashboards/9871/revisions/2/download"},{"rel":"org","href":"/orgs/weeco"},{"rel":"images","href":"/dashboards/9871/images"},{"rel":"thumbnails","href":"/dashboards/9871/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20544,"status":1,"statusCode":"active","orgId":143189,"orgSlug":"luongvo","orgName":"Luong Vo","slug":"kube-eagle-dashboard","downloads":1428,"revisionId":31742,"revision":2,"name":"Kube Eagle dashboard","description":"Overview of all pod & node resource requests, limits and usages WITH CLUSTER & DATASOURCE SELECTOR","readme":" helm chart to accompany https://github.com/luong-komorebi/kube-eagle-eks-helm-chart","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-02-22T11:50:19.000Z","updatedAt":"2024-02-28T17:16:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20544"},{"rel":"revisions","href":"/dashboards/20544/revisions"},{"rel":"revision","href":"/dashboards/20544/revisions/2"},{"rel":"download","href":"/dashboards/20544/revisions/2/download"},{"rel":"org","href":"/orgs/luongvo"},{"rel":"images","href":"/dashboards/20544/images"},{"rel":"thumbnails","href":"/dashboards/20544/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15463,"status":1,"statusCode":"active","orgId":583307,"orgSlug":"liorfranko","orgName":"liorfranko","slug":"kube-eagle","downloads":14646,"revisionId":23330,"revision":3,"name":"Kube Eagle for EKS","description":"Overview of all pod & node resource requests, limits and usages","readme":"Note: This dashboard requires the forked version of kube-eagle. \n[https://github.com/liorfranko/kube-eagle](https://github.com/liorfranko/kube-eagle)\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-01-03T08:37:42.000Z","updatedAt":"2022-01-04T09:06:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15463"},{"rel":"revisions","href":"/dashboards/15463/revisions"},{"rel":"revision","href":"/dashboards/15463/revisions/3"},{"rel":"download","href":"/dashboards/15463/revisions/3/download"},{"rel":"org","href":"/orgs/liorfranko"},{"rel":"images","href":"/dashboards/15463/images"},{"rel":"thumbnails","href":"/dashboards/15463/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19023,"status":1,"statusCode":"active","orgId":466352,"orgSlug":"enix","orgName":"Enix","slug":"kube-image-keeper","downloads":654,"revisionId":35918,"revision":3,"name":"Kube Image Keeper","description":"Kube Image Keeper Dashboard","readme":"# Description\r\n\r\n```Warning: Metrics are available with kube-image-keeper >= v1.2.0```\r\n\r\nkube-image-keeper (a.k.a. kuik, which is pronounced /kwɪk/, like \"quick\") is a container image caching system for Kubernetes. It saves the container images used by your pods in its own local registry so that these images remain available if the original becomes unavailable.\r\n\r\nTo assist with operations and provide a visualization of kube-image-keeper activities, Prometheus metrics are exposed from the three components (proxy, controller and registry) and this dashboard helps to vizualise its activities.\r\n\r\n# Installation\r\n\r\nPlease refer to the official documentation of [Kube Image Keeper](https://github.com/enix/kube-image-keeper)\r\n\r\n\r\n\r\n\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, Prometheus","privacy":"public","createdAt":"2023-06-22T15:06:27.000Z","updatedAt":"2025-01-27T13:24:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19023"},{"rel":"revisions","href":"/dashboards/19023/revisions"},{"rel":"revision","href":"/dashboards/19023/revisions/3"},{"rel":"download","href":"/dashboards/19023/revisions/3/download"},{"rel":"org","href":"/orgs/enix"},{"rel":"images","href":"/dashboards/19023/images"},{"rel":"thumbnails","href":"/dashboards/19023/thumbnails"}],"datasourceSlugs":["__expr__","prometheus"]},{"id":21742,"status":1,"statusCode":"active","orgId":918047,"orgSlug":"d19akash","orgName":"d19akash","slug":"object-s-health-kube-state-metrics-v2","downloads":7573,"revisionId":34026,"revision":1,"name":"Kube State Metrics v2","description":"This Grafana dashboard provides a comprehensive overview of the state and performance of Kubernetes resources within your cluster, with a focus on resource counts, utilization, and availability. It covers key metrics across nodes, namespaces, pods, and containers, making it easier to monitor and troubleshoot your cluster effectively.","readme":"Here’s a detailed breakdown of each section in the Kubernetes State Metrics dashboard:\r\n\r\nKubernetes Resource Count: This section displays the total count of various Kubernetes resources, including pods, deployments, statefulsets, jobs, and PVCs, providing a quick overview of the resource distribution within the cluster.\r\n\r\nKubernetes Pods QoS Classes: This section shows the distribution of Quality of Service (QoS) classes for the pods in the cluster, such as Guaranteed, Burstable, and BestEffort, helping you understand how resources are allocated based on pod priority.\r\n\r\nCluster Pod Requested: This section presents the total number of requested pods within the cluster, offering insights into the resource demands placed on your Kubernetes environment.\r\n\r\nCluster Memory Requested: This section displays the total amount of memory requested by all pods in the cluster, helping you track memory resource allocation and identify potential over- or under-provisioning.\r\n\r\nCluster CPU Requested: This section provides metrics on the total CPU requested by pods in the cluster, offering a view of CPU resource demands and helping identify any bottlenecks.\r\n\r\nKubernetes Pods Status Reason: This section categorizes pods based on their status reasons (e.g., Running, Pending, Failed), giving you a clear picture of the current state of your workloads.\r\n\r\nCluster Pod, CPU, and Memory Capacity: This section shows the total capacity of pods, CPU, and memory across the cluster, helping you compare requested resources against available capacity to identify resource constraints.\r\n\r\nNode Availability: This section provides a count of nodes that are available, unavailable, or not ready, as well as nodes under pressure. It helps you quickly identify any issues with node availability and performance.\r\n\r\nCPU and Memory Utilization by Namespace: This section breaks down CPU and memory utilization by namespace, allowing you to monitor resource usage at a more granular level and identify any namespaces that may be consuming excessive resources.\r\n\r\nDeployments/StatefulSets Count and Availability: This section displays the count of deployments and statefulsets along with their availability status, helping you monitor the health and readiness of your critical workloads.\r\n\r\nPod Status (Running, Evicted, Not Running, Failed, Succeeded, Pending): This section categorizes pods by their status, providing detailed information on how many pods are running, evicted, failed, succeeded, or pending, helping you keep track of workload health and stability.\r\n\r\nContainer Status (Running, Waiting, Terminated, Restarted): This section shows the status of containers within the cluster, including metrics on running, waiting, terminated, and restarted containers. It also includes data on CPU cores requested by containers, helping you monitor container performance and resource allocation.\r\n\r\nHorizontal Pod Autoscaler (HPA): This section provides insights into the performance of the Horizontal Pod Autoscaler, showing metrics like current replica count and target utilization. It helps you understand how well your cluster is handling scaling based on workload demands.\r\n\r\nJobs: This section tracks the status of jobs within the cluster, including metrics on running, succeeded, and failed jobs, helping you monitor task completion and identify any issues with job execution.\r\n\r\nPersistent Volume Claims (PVC) Bound/Not Bound: This section displays the number of PVCs that are bound or not bound, helping you monitor the status of your storage resources and ensure that they are being correctly allocated and utilized.\r\n\r\nThis dashboard provides a detailed and structured view of your Kubernetes cluster's state and resource usage, making it easier to monitor performance, identify issues, and optimize resource allocation. To fully utilize the dashboard's capabilities, ensure that the Kube State Metrics exporter is correctly configured, as it provides the critical data needed for comprehensive monitoring and analysis.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-08-21T07:20:51.000Z","updatedAt":"2024-08-21T07:59:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21742"},{"rel":"revisions","href":"/dashboards/21742/revisions"},{"rel":"revision","href":"/dashboards/21742/revisions/1"},{"rel":"download","href":"/dashboards/21742/revisions/1/download"},{"rel":"org","href":"/orgs/d19akash"},{"rel":"images","href":"/dashboards/21742/images"},{"rel":"thumbnails","href":"/dashboards/21742/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23650,"status":1,"statusCode":"active","orgId":339676,"orgSlug":"christianknell","orgName":"christianhuth","slug":"kube-green","downloads":207,"revisionId":37651,"revision":1,"name":"kube-green","description":"A K8s operator to reduce CO2 footprint of your clusters.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-07-04T13:35:08.000Z","updatedAt":"2025-07-04T13:38:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23650"},{"rel":"revisions","href":"/dashboards/23650/revisions"},{"rel":"revision","href":"/dashboards/23650/revisions/1"},{"rel":"download","href":"/dashboards/23650/revisions/1/download"},{"rel":"org","href":"/orgs/christianknell"},{"rel":"images","href":"/dashboards/23650/images"},{"rel":"thumbnails","href":"/dashboards/23650/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25091,"status":1,"statusCode":"active","orgId":850585,"orgSlug":"maxot","orgName":"maxot","slug":"kube-state-metrics-overview","downloads":45,"revisionId":40351,"revision":1,"name":"Kube-State-Metrics Overview","description":"kube-state-metrics-overview dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-01T01:12:36.000Z","updatedAt":"2026-04-01T01:13:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25091"},{"rel":"revisions","href":"/dashboards/25091/revisions"},{"rel":"revision","href":"/dashboards/25091/revisions/1"},{"rel":"download","href":"/dashboards/25091/revisions/1/download"},{"rel":"org","href":"/orgs/maxot"},{"rel":"images","href":"/dashboards/25091/images"},{"rel":"thumbnails","href":"/dashboards/25091/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13332,"status":1,"statusCode":"active","orgId":432845,"orgSlug":"garysdevil","orgName":"garysdevil","slug":"kube-state-metrics-v2","downloads":29851341,"revisionId":22008,"revision":12,"name":"kube-state-metrics-v2","description":"Summary metrics about kube-state-metrics v2 version(https://github.com/kubernetes/kube-state-metrics); Referenced 6417","readme":"## Prometheus job configuration(配置规范)\r\n```yaml\r\n- job_name: k8s-kube-state-metrics-YourDefinedK8sClusterName(自定义的k8s集群名字)\r\nhonor_timestamps: true\r\nmetrics_path: /metrics\r\nscheme: http\r\nstatic_configs:\r\n  - targets: ['IP:PORT']\r\nmetric_relabel_configs:\r\n- target_label: cluster\r\n  replacement: YourDefinedK8sClusterName(自定义的k8s集群名字)\r\n```\r\n## Configuration in Grafana(在Grafana进行配置)\r\n- Notice:\r\n    1. If you can't click the \"import\" button when you import the dashboard, you should try to clear the datasource and input it again, maybe the reason is incompatible versions of Grafana. (当import面板时，发现Import按钮无法点击，则可能是因为Grafana版本原因，将datasource内容删掉然后再填入，即可。)\r\n    2. Update the name of datasource to your datasource name.(修改datasource的值为自己的所定义的数据源名字。)\r\n## About Me\r\n- 微信公众号：浪子小鬼         如果有机会，可以关注一下，希望我的思想也能被你看到，作为一种借鉴\r\n- Github: garysdevil\r\n- Discord channel: https://discord.gg/3wy4Xc274y\r\n- Email: adamgarysdevil@gmail.com\r\n- 一位追求 计算机网络技术、金融投资、催眠学、生活享乐 的去中心化自由主义者","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-03T12:01:47.000Z","updatedAt":"2022-09-07T15:40:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":4,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13332"},{"rel":"revisions","href":"/dashboards/13332/revisions"},{"rel":"revision","href":"/dashboards/13332/revisions/12"},{"rel":"download","href":"/dashboards/13332/revisions/12/download"},{"rel":"org","href":"/orgs/garysdevil"},{"rel":"images","href":"/dashboards/13332/images"},{"rel":"thumbnails","href":"/dashboards/13332/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16520,"status":1,"statusCode":"active","orgId":669105,"orgSlug":"bd353533004","orgName":"zhuangjiajun","slug":"kube-state-metrics-v2","downloads":25094,"revisionId":26757,"revision":3,"name":"kube-state-metrics-v2","description":"Summary metrics about kube-state-metrics v2 version(https://github.com/kubernetes/kube-state-metrics); Referenced 6417","readme":"https://github.com/kubernetes/kube-state-metrics","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2022-06-30T09:35:16.000Z","updatedAt":"2022-11-16T05:59:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16520"},{"rel":"revisions","href":"/dashboards/16520/revisions"},{"rel":"revision","href":"/dashboards/16520/revisions/3"},{"rel":"download","href":"/dashboards/16520/revisions/3/download"},{"rel":"org","href":"/orgs/bd353533004"},{"rel":"images","href":"/dashboards/16520/images"},{"rel":"thumbnails","href":"/dashboards/16520/thumbnails"}]},{"id":17519,"status":1,"statusCode":"active","orgId":226687,"orgSlug":"marksugar","orgName":"marksugar","slug":"kube-state-metrics-v2","downloads":1308,"revisionId":26904,"revision":1,"name":"kube-state-metrics-v2-修正版","description":"Summary metrics about kube-state-metrics v2 version(https://github.com/kubernetes/kube-state-metrics);\r\n\r\nSame as the other two, the only difference is that this is a corrected version.\r\nYou only need to configure auto-discovery to complete the dashboard\r\nPlease install kube-state-metrics and configure the namespace\r\n和其他两个一样，唯一不同的是，这是一个修正版本。\r\n你只需要配置自动发现就可以完成dashboard\r\n请安装kube-state-metrics，并且配置名称空间","readme":"Same as the other two, the only difference is that this is a corrected version.\r\n\r\nYou only need to configure auto-discovery to complete the dashboard\r\n\r\nPlease install kube-state-metrics and configure the namespace(vm-mon)，Please replace the namespace where kube-state-metrics is located\r\n\r\n和其他两个一样，唯一不同的是，这是一个修正版本。\r\n\r\n你只需要配置自动发现就可以完成dashboard\r\n\r\n请安装kube-state-metrics，并且配置名称空间(vm-mon) 请替换kube-state-metrics所在的命名空间\r\n\r\n```\r\n    - job_name: k8s/kube-state-metrics\r\n      kubernetes_sd_configs:\r\n      - role: endpoints\r\n        namespaces:\r\n          names:\r\n          - vm-mon\r\n      relabel_configs:\r\n      - source_labels: [__meta_kubernetes_service_label_app_kubernetes_io_name]\r\n        regex: kube-state-metrics\r\n        replacement: $1\r\n        action: keep\r\n      - action: labelmap\r\n        regex: __meta_kubernetes_service_label_(.+)\r\n      - source_labels: [__meta_kubernetes_namespace]\r\n        action: replace\r\n        target_label: k8s_namespace\r\n      - source_labels: [__meta_kubernetes_service_name]\r\n        action: replace\r\n        target_label: cluster\r\n        replacement: linuxea\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-12-01T09:26:23.000Z","updatedAt":"2022-12-05T06:43:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17519"},{"rel":"revisions","href":"/dashboards/17519/revisions"},{"rel":"revision","href":"/dashboards/17519/revisions/1"},{"rel":"download","href":"/dashboards/17519/revisions/1/download"},{"rel":"org","href":"/orgs/marksugar"},{"rel":"images","href":"/dashboards/17519/images"},{"rel":"thumbnails","href":"/dashboards/17519/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20832,"status":1,"statusCode":"active","orgId":767910,"orgSlug":"bashtestsh","orgName":"bashtestsh","slug":"kubeclarity","downloads":270,"revisionId":32254,"revision":1,"name":"KubeClarity","description":"Improved version of default KubeClarityby dashboard. Contain datasource selector.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-03T12:42:19.000Z","updatedAt":"2024-04-03T12:53:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20832"},{"rel":"revisions","href":"/dashboards/20832/revisions"},{"rel":"revision","href":"/dashboards/20832/revisions/1"},{"rel":"download","href":"/dashboards/20832/revisions/1/download"},{"rel":"org","href":"/orgs/bashtestsh"},{"rel":"images","href":"/dashboards/20832/images"},{"rel":"thumbnails","href":"/dashboards/20832/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11270,"status":1,"statusCode":"active","orgId":81019,"orgSlug":"gkope","orgName":"Gabriel Kope","slug":"kubecost","downloads":217336,"revisionId":18851,"revision":3,"name":"KubeCost","description":"fixed images","readme":"Dashboard made using https://github.com/kubecost/cost-model open source metrics.\n\nThis dashboard gives your Kubernetes cluster costs:\n- Cluster Wide (Live and Estimative)\n  - Relative price of spot instances\n- Namespace (Live and Estimative)\n  - Price variation between days and weeks\n- APP (Live and average)\n  - Price comparisson with 7 days ago\n- PVC Costs\n\n** CONFIGURING YOUR DEPLOYMENTS/STATEFULSETS/SERVICES/CRONJOBS/DS with a label `app` and `product` is essential to use all features of the dashboard**\n\nTo use the dashboard just add the following scrap rule to your Prometheus and import the dashboard to Grafana.\n\n```\n- job_name: kubecost\n  honor_labels: true\n  scrape_interval: 1m\n  scrape_timeout: 10s\n  metrics_path: /metrics\n  scheme: http\n  static_configs:\n  - targets:\n    - < address of cost-model service> # example: <service-name>.<namespace>:<port>\n```\n\nAll metrics were made using the following docs:\nhttps://github.com/kubecost/cost-model/blob/master/PROMETHEUS.md\n\nProblems or suggestions, reach me at https://github.com/gkope","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-25T19:55:05.000Z","updatedAt":"2020-09-16T19:09:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11270"},{"rel":"revisions","href":"/dashboards/11270/revisions"},{"rel":"revision","href":"/dashboards/11270/revisions/3"},{"rel":"download","href":"/dashboards/11270/revisions/3/download"},{"rel":"org","href":"/orgs/gkope"},{"rel":"images","href":"/dashboards/11270/images"},{"rel":"thumbnails","href":"/dashboards/11270/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10217,"status":1,"statusCode":"active","orgId":205836,"orgSlug":"kubecost","orgName":"kubecost","slug":"kubecost-cluster-metrics","downloads":1562,"revisionId":14286,"revision":3,"name":"Kubecost cluster metrics","description":"Cost metrics from the Kubecost product","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-05-17T02:20:57.000Z","updatedAt":"2019-05-17T03:01:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10217"},{"rel":"revisions","href":"/dashboards/10217/revisions"},{"rel":"revision","href":"/dashboards/10217/revisions/3"},{"rel":"download","href":"/dashboards/10217/revisions/3/download"},{"rel":"org","href":"/orgs/kubecost"},{"rel":"images","href":"/dashboards/10217/images"},{"rel":"thumbnails","href":"/dashboards/10217/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15714,"status":1,"statusCode":"active","orgId":583557,"orgSlug":"kcgrafanatest","orgName":"kubecost","slug":"kubecost-cluster-costs-overview","downloads":2775,"revisionId":23742,"revision":1,"name":"Kubecost Dashboard for Grafana Cloud","description":"Cluster cost overview for Kubecost running Grafana Cloud's Managed Prometheus in the backend.","readme":"# Grafana Dashboard for Kubecost+Grafana Cloud\r\n\r\nThis Dashboard provides customers leveraging the Grafana Cloud Managed Prometheus with a way to visualise their cost spend.\r\n\r\nIf you haven't set up Kubecost to query the Grafana Cloud Managed Prometheus, please see [the documentation](https://gist.github.com/elenalape/196cd34fd9881bafe33673718ffb2122).\r\n\r\nOnce you've set it up, simply copy the URL of this dashboard and import it into your Grafana Cloud dashboards. Make sure to select the Managed Prometheus as a data source for the Kubecost dashboard.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-02-07T21:11:42.000Z","updatedAt":"2022-03-04T16:50:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15714"},{"rel":"revisions","href":"/dashboards/15714/revisions"},{"rel":"revision","href":"/dashboards/15714/revisions/1"},{"rel":"download","href":"/dashboards/15714/revisions/1/download"},{"rel":"org","href":"/orgs/kcgrafanatest"},{"rel":"images","href":"/dashboards/15714/images"},{"rel":"thumbnails","href":"/dashboards/15714/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18146,"status":1,"statusCode":"active","orgId":799760,"orgSlug":"devarajeshwarana1","orgName":"devarajeshwarana1","slug":"kubecost-dashboard-for-grafana-cloud","downloads":334,"revisionId":27854,"revision":1,"name":"Kubecost Dashboard for Grafana Cloud","description":"Cluster cost overview for Kubecost running Grafana Cloud's Managed Prometheus in the backend.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-20T12:39:46.000Z","updatedAt":"2023-02-20T12:39:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18146"},{"rel":"revisions","href":"/dashboards/18146/revisions"},{"rel":"revision","href":"/dashboards/18146/revisions/1"},{"rel":"download","href":"/dashboards/18146/revisions/1/download"},{"rel":"org","href":"/orgs/devarajeshwarana1"},{"rel":"images","href":"/dashboards/18146/images"},{"rel":"thumbnails","href":"/dashboards/18146/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11730,"status":1,"statusCode":"active","orgId":348949,"orgSlug":"justjkk","orgName":"justjkk","slug":"practo-kubedb-memcache-pod","downloads":515,"revisionId":16611,"revision":1,"name":"KubeDB / Memcache / Pod","description":"Memcache metrics dashboard for Kubernetes created with KubeDB and Prometheus metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-02-13T14:57:32.000Z","updatedAt":"2020-02-13T15:09:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11730"},{"rel":"revisions","href":"/dashboards/11730/revisions"},{"rel":"revision","href":"/dashboards/11730/revisions/1"},{"rel":"download","href":"/dashboards/11730/revisions/1/download"},{"rel":"org","href":"/orgs/justjkk"},{"rel":"images","href":"/dashboards/11730/images"},{"rel":"thumbnails","href":"/dashboards/11730/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22620,"status":1,"statusCode":"active","orgId":210798,"orgSlug":"starsliao","orgName":"StarsL.cn","slug":"kubedoor-k8s","downloads":581,"revisionId":35716,"revision":3,"name":"KubeDoor-K8S每日高峰时段资源数据分析看板","description":"采集K8S微服务每日业务高峰时段P95的CPU内存消耗，以及需求、限制值与Pod数。基于采集的数据实现了一个Grafana看板并集成到了WEB UI。\r\n- 🎨基于日维度采集每日高峰时段P95的资源数据,可以很好的观察各微服务长期的资源变化情况，即使查看1年的数据也很流畅。\r\n- 🏅高峰时段全局资源统计与各资源TOP10\r\n- 🔎命名空间级别高峰时段P95资源使用量与资源消耗占整体资源的比例\r\n- 🧿微服务级别高峰期整体资源与使用率分析 \r\n- 📈微服务与Pod级别的资源曲线图(需求值,限制值,使用值)","readme":"## 🌈概述\r\n\r\n🌼**花折 - KubeDoor** 是一个使用Python + Vue开发，基于K8S准入控制机制的微服务资源管控平台。专注微服务每日高峰时段的资源视角，实现了微服务的资源分析统计与强管控，确保微服务资源的资源申请率和真实使用率一致。📀项目仓库：https://github.com/CassInfra/KubeDoor\r\n\r\n## 💠架构图\r\n![](https://grafana.com/api/dashboards/22620/images/17834/image)\r\n\r\n## 💎功能描述\r\n\r\n#### 📊采集K8S微服务每日业务高峰时段P95的CPU内存消耗，以及需求、限制值与Pod数。基于采集的数据实现了一个Grafana看板并集成到了WEB UI。\r\n  - 🎨**基于日维度采集每日高峰时段P95的资源数据**,可以很好的观察各微服务长期的资源变化情况，即使查看1年的数据也很流畅。\r\n  - 🏅高峰时段全局资源统计与各**资源TOP10**\r\n  - 🔎命名空间级别高峰时段P95资源使用量与**资源消耗占整体资源的比例**\r\n  - 🧿**微服务级别**高峰期整体资源与使用率分析\r\n  - 📈微服务与**Pod级别**的资源曲线图(需求值,限制值,使用值)\r\n\r\n![](https://grafana.com/api/dashboards/22620/images/17828/image)\r\n![](https://grafana.com/api/dashboards/22620/images/17829/image)\r\n![](https://grafana.com/api/dashboards/22620/images/17830/image)\r\n![](https://grafana.com/api/dashboards/22620/images/17831/image)\r\n\r\n#### 🎡每日从采集的数据中，获取最近10天各微服务的资源信息，获取资源消耗最大日的P95资源，作为微服务的需求值写入数据库。\r\n  - ✨**基于准入控制机制**实现K8S微服务资源的**真实使用率和资源申请需求值保持一致**，具有非常重要的意义。\r\n  - 🌊**K8S调度器**通过真实的资源需求值就能够更精确地将Pod调度到合适的节点上，**避免资源碎片，实现节点的资源均衡**。\r\n  - ♻**K8S自动扩缩容**也依赖资源需求值来判断，**真实的需求值可以更精准的触发扩缩容操作**。\r\n  - 🛡**K8S的保障服务质量**（QoS机制）与需求值结合，真实需求值的Pod会被优先保留，**保证关键服务的正常运行**。\r\n\r\n#### 🌐实现了一个K8S管控与展示的WEB UI。\r\n\r\n  - ⚙️对微服务的最新、每日高峰期的**P95资源展示**，以及对**Pod数、资源限制值**的维护管理。\r\n  - ⏱️支持**即时、定时、周期性**任务执行微服务的**扩缩容和重启**操作。 \r\n  - 🔒基于NGINX basic**认证**，支持LDAP，支持所有**操作审计**日志与通知。 \r\n  - 📊在前端页面集成Grafana看板,更优雅的展示与分析采集的微服务数据。\r\n![](https://grafana.com/api/dashboards/22620/images/17832/image)\r\n\r\n#### 🚧当微服务更新部署时，基于K8S准入控制机制对资源进行管控【默认不开启】：\r\n  - 🧮**控制每个微服务的Pod数、需求值、限制值**必须与数据库一致，以确保微服务的真实使用率和资源申请需求值相等，从而实现微服务的统一管控与Pod的负载感知调度均衡能力。\r\n  - 🚫**对未管控的微服务，会部署失败并通知**，必须在WEB UI新增微服务后才能部署。（作为新增微服务的唯一管控入口，杜绝未经允许的新服务部署。）\r\n  - 🌟通过本项目基于**K8S准入机制的扩展**思路，大家可以自行简单定制需求，即可对K8S实现各种高灵活性与扩展性附加能力，诸如统一或者个性化的**拦截、管理、策略、标记微服务**等功能。\r\n\r\n<center>K8S准入控制逻辑</center>\r\n\r\n![](https://grafana.com/api/dashboards/22620/images/17833/image)\r\n\r\n**如果觉得项目不错，麻烦动动小手点个⭐️Star⭐️ 如果你还有其他想法或者需求，欢迎在 issue 中交流**\r\n#### **[📀项目仓库：](https://github.com/CassInfra/KubeDoor) https://github.com/CassInfra/KubeDoor**\r\n\r\n---\r\n\r\n## 🎯2025 KubeDoor RoadMap\r\n\r\n- **[📅KubeDoor 项目进度](https://github.com/orgs/CassInfra/projects/1/views/1)** https://github.com/orgs/CassInfra/projects/1\r\n- 🥇多K8S支持：在统一的WebUI对多K8S做管控和资源分析展示。\r\n- 🥈英文版发布\r\n- 🥉集成K8S实时监控能力，实现一键部署，整合K8S实时资源看板，接入K8S异常AI分析能力。\r\n- 🏅微服务AI评分：根据资源使用情况，发现资源浪费的问题，结合AI缩容，降本增效，做AI综合评分。\r\n- 🏅微服务AI缩容：基于微服务高峰期的资源信息，对接AI分析与专家经验，计算微服务Pod数是否合理，生成缩容指令与统计。\r\n- 🏅根据K8S节点资源使用率做节点管控与调度分析\r\n- 🚩采集更多的微服务资源信息: QPS/JVM/GC\r\n- 🚩针对微服务Pod做精细化操作：隔离、删除、dump、jstack、jfr、jvm\r\n\r\n## 🔔KubeDoor交流群与🧧赞赏\r\n（如二维码过期可加starsliao好友，备注kubedoor）\r\n![](https://starsl.cn/static/img/kubedoor/kd-wechat.png)\r\n\r\n## 🚀部署说明\r\n#### 0. 需要已有 Prometheus监控K8S\r\n需要有`cadvisor`和`kube-state-metrics`这2个JOB，才能采集到K8S的以下指标\r\n- `container_cpu_usage_seconds_total`\r\n- `container_memory_working_set_bytes`\r\n- `container_spec_cpu_quota`\r\n- `kube_pod_container_info`\r\n- `kube_pod_container_resource_limits`\r\n- `kube_pod_container_resource_requests`\r\n\r\n#### 1. 部署 Cert-manager\r\n\r\n用于K8S Mutating Webhook的强制https认证\r\n```\r\nkubectl apply -f https://StarsL.cn/kubedoor/00.cert-manager_v1.16.2_cn.yaml\r\n```\r\n\r\n#### 2. 部署 ClickHouse 并初始化\r\n\r\n用于存储采集的指标数据与微服务的资源信息\r\n\r\n```bash\r\n# 默认使用docker compose运行，部署在/opt/clickhouse目录下。\r\ncurl -s https://StarsL.cn/kubedoor/install-clickhouse.sh|sudo bash\r\n# 启动ClickHouse（启动后会自动初始化表结构）\r\ncd /opt/clickhouse && docker compose up -d\r\n```\r\n\r\n如果已有ClickHouse，请逐条执行以下SQL，完成初始化表结构\r\n\r\n```bash\r\nhttps://StarsL.cn/kubedoor/kubedoor-init.sql\r\n```\r\n\r\n#### 3. 部署KubeDoor\r\n\r\n```bash\r\nwget https://StarsL.cn/kubedoor/kubedoor.tgz\r\ntar -zxvf kubedoor.tgz\r\n# 编辑values.yaml文件，请仔细阅读注释，根据描述修改配置内容。\r\nvim kubedoor/values.yaml\r\n# 使用helm安装（注意在kubedoor目录外执行。）\r\nhelm install kubedoor ./kubedoor\r\n# 安装完成后，所有资源都会部署在kubedoor命名空间。\r\n```\r\n\r\n#### 4. 访问WebUI 并初始化数据\r\n\r\n1. 使用K8S节点IP + kubedoor-web的NodePort访问，默认账号密码都是 **`kubedoor`**\r\n\r\n2. 点击`配置中心`，输入需要采集的历史数据时长，点击`采集并更新`，即可采集历史数据并更新高峰时段数据到管控表。\r\n   >**默认会从Prometheus采集10天数据(建议采集1个月)，并将10天内最大资源消耗日的数据写入到管控表，如果耗时较长，请等待采集完成或缩短采集时长。重复执行`采集并更新`不会导致重复写入数据，请放心使用，每次采集后都会自动将10天内最大资源消耗日的数据写入到管控表。**\r\n\r\n3. 点击`管控状态`的开关，显示`管控已启用`，表示已开启。\r\n\r\n## ⛔注意事项\r\n\r\n- 部署完成后，**默认不会开启管控机制**，你可以按上述操作通过WebUI 来开关管控能力。特殊情况下，你也可以使用`kubectl`来开关管控功能：\r\n\r\n    ```bash\r\n    # 开启管控\r\n    kubectl apply -f https://StarsL.cn/kubedoor/99.kubedoor-Mutating.yaml\r\n    \r\n    # 关闭管控\r\n    kubectl delete mutatingwebhookconfigurations kubedoor-webhook-configuration\r\n    ```\r\n\r\n- **开启管控机制后**，目前只会拦截**deployment的创建，更新，扩缩容**操作；管控**pod数，需求值，限制值**。不会控制其它操作和属性。\r\n\r\n- **开启管控机制后**，通过任何方式对Deployment执行扩缩容或者更新操作都会受到管控。\r\n\r\n- **开启管控机制后**，扩缩容或者重启Deployment时，Pod数优先取`指定Pod`字段，若该字段为-1，则取`当日Pod`字段。\r\n\r\n## 🌰管控例子\r\n\r\n- 你通过Kubectl对一个Deployment执行了扩容10个Pod后，**会触发拦截机制**，到数据库中去查询该微服务的Pod，然后使用该值来进行实际的扩缩容。（正确的做法应该是在KubeDoor-Web来执行扩缩容操作。）\r\n\r\n- 你通过某发布系统修改了Deployment的镜像版本，执行发布操作，**会触发拦截机制**，到数据库中去查询该微服务的Pod数，需求值，限制值，然后使用这些值值以及新的镜像来进行实际的更新操作。\r\n\r\n## 🚩管控原则\r\n\r\n- **你对deployment的操作不会触发deployment重启的，也没有修改Pod数的：** 触发管控拦截后，只会按照你的操作来更新deployment（不会重启Deployment）\r\n\r\n- **你对deployment的操作不会触发deployment重启的，并且修改Pod数的：** 触发管控拦截后，Pod数会根据数据库的值以及你修改的其它信息来更新Deployment。（不会重启Deployment）\r\n\r\n- **你对deployment的操作会触发deployment重启的：** 触发管控拦截后，会到数据库中去查询该微服务的Pod数，需求值，限制值，然后使用这些值以及你修改的其它信息来更新Deployment。（会重启Deployment）\r\n\r\n## 🥰鸣谢\r\n\r\n感谢如下优秀的项目，没有这些项目，不可能会有**KubeDoor**：\r\n\r\n- 后端技术栈\r\n  - [Flask](https://flask.palletsprojects.com)\r\n  - [Grafana](https://grafana.com/)\r\n  - [Nginx](https://nginx.org/)\r\n\r\n- 前端技术栈\r\n  - [Vue](https://vuejs.org/)\r\n  - [Element Plus](https://element-plus.org)\r\n  - [pure-admin](https://pure-admin.cn/)\r\n\r\n- **特别鸣谢**\r\n  - [CassTime](https://www.casstime.com)：**KubeDoor**的诞生离不开🦄**开思**的支持。","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"ClickHouse","privacy":"public","createdAt":"2025-01-06T08:25:11.000Z","updatedAt":"2025-01-13T07:20:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22620"},{"rel":"revisions","href":"/dashboards/22620/revisions"},{"rel":"revision","href":"/dashboards/22620/revisions/3"},{"rel":"download","href":"/dashboards/22620/revisions/3/download"},{"rel":"org","href":"/orgs/starsliao"},{"rel":"images","href":"/dashboards/22620/images"},{"rel":"thumbnails","href":"/dashboards/22620/thumbnails"}],"datasourceSlugs":["grafana-clickhouse-datasource"]},{"id":20720,"status":1,"statusCode":"active","orgId":1078469,"orgSlug":"priyanshuborthakur","orgName":"priyanshuborthakur","slug":"kubeinvaders-dashboard","downloads":251,"revisionId":32042,"revision":1,"name":"KubeInvaders 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Cluster\r\n- Status: Displays the current status of your cluster.\r\n- Usage: CPU, Memory, Storage and etc\r\n\r\n2. Node\r\n- Status: Display overall nodes status\r\n- Network I/O: Monitor Network I/O of Nodes.\r\n\r\n3. Pod\r\n- Status: Displays overall pod status\r\n- Usage: CPU, Memory, Network\r\n\r\n4. Container\r\n- Status: Displays overall container status\r\n- Usage: CPU, Memory\r\n\r\n## Getting Started\r\n\r\n### Prerequisites\r\nData Sources: Make sure your data sources (Prometheus) are configured in Grafana.\r\n\r\n### Installation\r\n#### Import Dashboard:\r\n\r\n- Navigate to the Grafana home page.\r\n- Click on the + icon on the left side bar and select Import.\r\n- Upload the provided dashboard JSON file or paste the JSON content directly.\r\n\r\n#### Configure Data Sources:\r\n- Go to Configuration > Data Sources.\r\n- Add and configure the necessary data sources used in the dashboard.\r\n\r\n### Usage\r\n#### Access Dashboard:\r\n- Go to Home > Dashboards.\r\n- Select the imported dashboard from the list.\r\n\r\n#### Select Time Range:\r\n- Use the time range selector at the top right corner of the dashboard to choose the desired time frame.\r\n\r\n#### Filter by node:\r\n- Use the node dropdown to filter the displayed metrics by specific namespaces.\r\n\r\n#### Filter by Namespace:\r\n- Use the namespace dropdown to filter the displayed metrics by specific namespaces.\r\n\r\n#### Interacting with Panels:\r\n- Hover over graph panels to view detailed metrics.\r\n- Click on legends to toggle the visibility of specific data series.\r\n- Use the panel options to customize the display (zoom, drill down, etc.).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-12T06:34:15.000Z","updatedAt":"2024-06-12T06:49:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21299"},{"rel":"revisions","href":"/dashboards/21299/revisions"},{"rel":"revision","href":"/dashboards/21299/revisions/1"},{"rel":"download","href":"/dashboards/21299/revisions/1/download"},{"rel":"org","href":"/orgs/kakaru1331"},{"rel":"images","href":"/dashboards/21299/images"},{"rel":"thumbnails","href":"/dashboards/21299/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9565,"status":1,"statusCode":"active","orgId":225778,"orgSlug":"krast76","orgName":"krast76","slug":"kubernetes","downloads":703,"revisionId":17976,"revision":2,"name":"Kubernetes","description":"A simple Kubernetes dashboard","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-12-21T09:08:59.000Z","updatedAt":"2020-06-22T15:15:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9565"},{"rel":"revisions","href":"/dashboards/9565/revisions"},{"rel":"revision","href":"/dashboards/9565/revisions/2"},{"rel":"download","href":"/dashboards/9565/revisions/2/download"},{"rel":"org","href":"/orgs/krast76"},{"rel":"images","href":"/dashboards/9565/images"},{"rel":"thumbnails","href":"/dashboards/9565/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11991,"status":1,"statusCode":"active","orgId":364567,"orgSlug":"blank1","orgName":"blank1","slug":"kubernetes","downloads":520,"revisionId":17040,"revision":1,"name":"Kubernetes","description":"Monitors Kubernetes cluster using Prometheus. 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You can find more information about this pattern in the [InfluxData Helm Charts](https://github.com/influxdata/tick-charts/tree/master/telegraf-ds). Questions or comments, please [let me know](mailto:russ@influxdata.com).","collectorType":"Telegraf","collectorConfig":"Technically you only need the Kubernetes input, but the following plugins are useful in general.\n```\n    [[inputs.cpu]]\n      percpu = true\n      totalcpu = true\n      collect_cpu_time = false\n      report_active = false\n    [[inputs.disk]]\n      ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\"]\n    [[inputs.diskio]]\n    [[inputs.kernel]]\n    [[inputs.mem]]\n    [[inputs.processes]]\n    [[inputs.swap]]\n    [[inputs.system]]\n    [[inputs.kubernetes]]\n      url = \"http://$HOSTNAME:10255\"\n      bearer_token = \"/var/run/secrets/kubernetes.io/serviceaccount/token\"\n      insecure_skip_verify = true\n```\n\nIf you are using the [TICK charts](https://github.com/influxdata/tick-charts/tree/master/telegraf-ds) for deploying this, you can add these to your `values.yaml` file:\n\n```\n    - cpu:\n        percpu: true\n        totalcpu: true\n        collect_cpu_time: false\n    - disk:\n        ignore_fs:\n          - \"tmpfs\"\n          - \"devtmpfs\"\n    - diskio:\n    - kernel:\n    - mem:\n    - processes:\n    - swap:\n    - system:\n    - kubernetes:\n        url: \"http://$HOSTIP:10255\"\n        bearer_token: \"/var/run/secrets/kubernetes.io/serviceaccount/token\"\n        insecure_skip_verify: true\n    - docker:\n        endpoint: \"unix:///var/run/docker.sock\"\n        timeout: \"5s\"\n        perdevice: true\n        total: false\n        docker_label_exclude:\n          - \"annotation.kubernetes.io/*\"\n```","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2018-11-19T20:32:15.000Z","updatedAt":"2018-12-10T23:30:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9111"},{"rel":"revisions","href":"/dashboards/9111/revisions"},{"rel":"revision","href":"/dashboards/9111/revisions/2"},{"rel":"download","href":"/dashboards/9111/revisions/2/download"},{"rel":"org","href":"/orgs/russorat"},{"rel":"images","href":"/dashboards/9111/images"},{"rel":"thumbnails","href":"/dashboards/9111/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":7704,"status":1,"statusCode":"active","orgId":183957,"orgSlug":"twilfong","orgName":"twilfong","slug":"kubernetes-aggregated-pod-stats","downloads":889,"revisionId":10497,"revision":1,"name":"Kubernetes Aggregated Pod Stats","description":"Kubernetes Aggregated Pod Stats by Namespace and Deployment","readme":"Dashboard for Kubernetes, that shows aggregated Pod statistics by Namespace and Deployment, or just by Namespace.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-08-28T20:37:06.000Z","updatedAt":"2018-08-28T20:49:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7704"},{"rel":"revisions","href":"/dashboards/7704/revisions"},{"rel":"revision","href":"/dashboards/7704/revisions/1"},{"rel":"download","href":"/dashboards/7704/revisions/1/download"},{"rel":"org","href":"/orgs/twilfong"},{"rel":"images","href":"/dashboards/7704/images"},{"rel":"thumbnails","href":"/dashboards/7704/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10185,"status":1,"statusCode":"active","orgId":229898,"orgSlug":"ybma","orgName":"ybma","slug":"kubernetes-all-metrics","downloads":25605,"revisionId":14240,"revision":1,"name":"Kubernetes All Metrics","description":"Monitors Kubernetes deployments in cluster using Prometheus. Shows overall cluster CPU / Memory of deployments, replicas in each deployment. Uses Kube state metrics and cAdvisor metrics (741)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-05-13T05:47:08.000Z","updatedAt":"2019-05-13T05:47:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10185"},{"rel":"revisions","href":"/dashboards/10185/revisions"},{"rel":"revision","href":"/dashboards/10185/revisions/1"},{"rel":"download","href":"/dashboards/10185/revisions/1/download"},{"rel":"org","href":"/orgs/ybma"},{"rel":"images","href":"/dashboards/10185/images"},{"rel":"thumbnails","href":"/dashboards/10185/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3131,"status":1,"statusCode":"active","orgId":45440,"orgSlug":"bartvanbos","orgName":"Bart Van Bos","slug":"all-nodes","downloads":51264,"revisionId":4313,"revision":1,"name":"Kubernetes All Nodes","description":"Dashboard to get an overview of all nodes in a Kubernetes Cluster","readme":"Shows Kubernetes Nodes metrics: Idle CPU, System Load, Memory Usage, Disk I/O, Disk Space Usage, Network received/transmitted.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-09-06T11:09:16.000Z","updatedAt":"2017-09-06T11:14:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/3131"},{"rel":"revisions","href":"/dashboards/3131/revisions"},{"rel":"revision","href":"/dashboards/3131/revisions/1"},{"rel":"download","href":"/dashboards/3131/revisions/1/download"},{"rel":"org","href":"/orgs/bartvanbos"},{"rel":"images","href":"/dashboards/3131/images"},{"rel":"thumbnails","href":"/dashboards/3131/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10675,"status":1,"statusCode":"active","orgId":272964,"orgSlug":"severity1","orgName":"severity1","slug":"kubernetes-all-nodes","downloads":1988,"revisionId":14904,"revision":1,"name":"Kubernetes All Nodes","description":"Dashboard to get an overview of all nodes in a Kubernetes Cluster","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-08-07T00:24:54.000Z","updatedAt":"2019-08-07T00:25:06.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10675"},{"rel":"revisions","href":"/dashboards/10675/revisions"},{"rel":"revision","href":"/dashboards/10675/revisions/1"},{"rel":"download","href":"/dashboards/10675/revisions/1/download"},{"rel":"org","href":"/orgs/severity1"},{"rel":"images","href":"/dashboards/10675/images"},{"rel":"thumbnails","href":"/dashboards/10675/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10676,"status":1,"statusCode":"active","orgId":272964,"orgSlug":"severity1","orgName":"severity1","slug":"kubernetes-all-pods","downloads":1405,"revisionId":14905,"revision":1,"name":"Kubernetes All Pods","description":"Kubernetes to monitor POD statistics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-08-07T00:26:02.000Z","updatedAt":"2019-08-07T00:26:14.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10676"},{"rel":"revisions","href":"/dashboards/10676/revisions"},{"rel":"revision","href":"/dashboards/10676/revisions/1"},{"rel":"download","href":"/dashboards/10676/revisions/1/download"},{"rel":"org","href":"/orgs/severity1"},{"rel":"images","href":"/dashboards/10676/images"},{"rel":"thumbnails","href":"/dashboards/10676/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23000,"status":1,"statusCode":"active","orgId":434154,"orgSlug":"sysnet4admin","orgName":"sysnet4admin","slug":"kubernetes-all-in-one-cluster-monitoring-kr","downloads":363,"revisionId":36324,"revision":1,"name":"Kubernetes All-in-one Cluster Monitoring ko_KR","description":"This dashboard is the education purpose for the Grafana panel and other functions. Thus it cannot be guaranteed for other environment. ","readme":"## Kubernetes All-in-one Cluster Monitoring ko_KR\r\n\r\n## **제작자**\r\n- ✔️[Hoon Jo](https://github.com/sysnet4admin)\r\n- ✔️[Gnu Shim](https://github.com/gnu-gnu)\r\n- ✔️[Seongju Mun](https://github.com/seongjumoon)\r\n- ✔️[Sungmin Lee](https://github.com/sungmincs)\r\n\r\n## 관련 정보\r\n- ℹ️도서: [컨테이너 인프라 환경 구축을 위한 쿠버네티스/도커(2판)](http://www.yes24.com/Product/Goods/102099414)\r\n- ℹ️소스: [깃허브](https://github.com/internal-k8s/_Book_k8sInfra)\r\n\r\n## 중요한 알림\r\n이 대시보드는 [컨테이너 인프라 환경 구축을 위한 쿠버네티스/도커(2판)](http://www.yes24.com/Product/Goods/102099414) 책에서 사용된 대시보드입니다. \r\n따라서 [컨테이너 인프라 환경 구축을 위한 쿠버네티스/도커(2판)](http://www.yes24.com/Product/Goods/102099414) 책에서 제공하는 가상머신 환경에 최적화 되어 있습니다. \r\n책의 실습 환경에서 정상 동작을 확인하였으며, 이외의 환경에서는 여러 가지의 고려 사항들이 있을 수 있기 때문에 동작을 보증하진 않습니다. \r\n이 대시보드는 쿠버네티스 클러스터의 운영과 문제 해결에 필요한 정보를 보여줍니다. 4개의 영역으로 구성되어 있으며 각 영역에서는 아래와 같은 정보를 확인할 수 있습니다. \r\n\r\n1. 클러스터 요약\r\n  >- 컨트롤 플레인 컴포넌트 정상 가동률\r\n  >- API 서버 응답 속도(P99)\r\n  >- 노드 현황 정보를 보여주는 테이블\r\n  >- 네임스페이스, PVC, Daemonset, LoadBalancer의 개수\r\n  >- 네임스페이스 별 파드 개수\r\n  >- 노드 별 파드 개수\r\n  >- 파드의 종합적인 상태\r\n  >- 전체 파드 및 상태 이상 파드 개수\r\n\r\n2. 클러스터 전체 정보\r\n  >- 노드 별 CPU 사용률(%)\r\n  >- 노드 별 메모리 사용량\r\n  >- 클러스터 수준의 초당 평균 네트워크 트래픽\r\n  >- API 서버 호출 통계\r\n\r\n3. 노드 별 정보\r\n  >- CPU 사용률(%)\r\n  >- 메모리 사용률(%)\r\n  >- 디스크 사용률(%)\r\n  >- CPU 코어 개수\r\n  >- 전체 메모리 용량\r\n  >- 파일 디스크립터와 컨텍스트 스위칭\r\n  >- 완료된 디스크 IOPS\r\n\r\n4. 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","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-12-05T16:36:11.000Z","updatedAt":"2019-12-05T16:44:32.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11358"},{"rel":"revisions","href":"/dashboards/11358/revisions"},{"rel":"revision","href":"/dashboards/11358/revisions/1"},{"rel":"download","href":"/dashboards/11358/revisions/1/download"},{"rel":"org","href":"/orgs/stanciubogdan92"},{"rel":"images","href":"/dashboards/11358/images"},{"rel":"thumbnails","href":"/dashboards/11358/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9441,"status":1,"statusCode":"active","orgId":91406,"orgSlug":"heishui","orgName":"heishui","slug":"cluster","downloads":577,"revisionId":13041,"revision":1,"name":"kubernetes cluster dashboard","description":"kubernetes cluster dashboard with grafana5","readme":"kubernetes heapster","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-12-09T02:56:20.000Z","updatedAt":"2018-12-09T03:03:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9441"},{"rel":"revisions","href":"/dashboards/9441/revisions"},{"rel":"revision","href":"/dashboards/9441/revisions/1"},{"rel":"download","href":"/dashboards/9441/revisions/1/download"},{"rel":"org","href":"/orgs/heishui"},{"rel":"images","href":"/dashboards/9441/images"},{"rel":"thumbnails","href":"/dashboards/9441/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9590,"status":1,"statusCode":"active","orgId":154524,"orgSlug":"lucazz","orgName":"lucazz","slug":"kubernetes-cluster-filesystem-metrics","downloads":882,"revisionId":13281,"revision":3,"name":"Kubernetes Cluster Filesystem Metrics","description":"file descriptors, used, available metrics","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"filesystem","datasource":"Prometheus","privacy":"public","createdAt":"2019-01-03T01:37:13.000Z","updatedAt":"2019-01-03T02:14:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9590"},{"rel":"revisions","href":"/dashboards/9590/revisions"},{"rel":"revision","href":"/dashboards/9590/revisions/3"},{"rel":"download","href":"/dashboards/9590/revisions/3/download"},{"rel":"org","href":"/orgs/lucazz"},{"rel":"images","href":"/dashboards/9590/images"},{"rel":"thumbnails","href":"/dashboards/9590/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16734,"status":1,"statusCode":"active","orgId":492021,"orgSlug":"dvdlevanon","orgName":"dvdlevanon","slug":"kubernetes-cluster-ram-and-cpu-utilization","downloads":16416,"revisionId":25660,"revision":2,"name":"Kubernetes Cluster for RAM and CPU Utilization","description":"Shows RAM and CPU utilization grouped by namespaces, deployments and specific pods. This dashboard shows the values at specific point in time, its useful for getting an instant feeling about what takes most of the resources in the cluster.","readme":"This dashboard shows the utilization, RAM and CPU, of a cluster at a specific point in time.\r\n\r\nIt helps to answer those questions quickly:\r\n1. Is my cluster running out of RAM or CPU?\r\n2. If so, what are the problematic namespaces, deployments and pods?\r\n\r\n---\r\n\r\nThis dashboard uses the default metrics from the Prometheus Helm chart. It needs both Kubelet and Node Exporter metrics.","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-08-18T14:50:04.000Z","updatedAt":"2022-08-18T16:08:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16734"},{"rel":"revisions","href":"/dashboards/16734/revisions"},{"rel":"revision","href":"/dashboards/16734/revisions/2"},{"rel":"download","href":"/dashboards/16734/revisions/2/download"},{"rel":"org","href":"/orgs/dvdlevanon"},{"rel":"images","href":"/dashboards/16734/images"},{"rel":"thumbnails","href":"/dashboards/16734/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5502,"status":1,"statusCode":"active","orgId":138673,"orgSlug":"chuyeow","orgName":"chuyeow","slug":"kubernetes-cluster-health","downloads":13490,"revisionId":7392,"revision":1,"name":"Kubernetes Cluster Health","description":"-","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-04-11T06:48:45.000Z","updatedAt":"2018-04-11T06:48:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5502"},{"rel":"revisions","href":"/dashboards/5502/revisions"},{"rel":"revision","href":"/dashboards/5502/revisions/1"},{"rel":"download","href":"/dashboards/5502/revisions/1/download"},{"rel":"org","href":"/orgs/chuyeow"},{"rel":"images","href":"/dashboards/5502/images"},{"rel":"thumbnails","href":"/dashboards/5502/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5312,"status":1,"statusCode":"active","orgId":64598,"orgSlug":"feisky","orgName":"feisky","slug":"kubernetes-cluster-health","downloads":55764,"revisionId":7070,"revision":1,"name":"Kubernetes Cluster Health (Prometheus)","description":"Kubernetes Cluster Health (Prometheus)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-03-28T08:59:46.000Z","updatedAt":"2018-03-28T09:00:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5312"},{"rel":"revisions","href":"/dashboards/5312/revisions"},{"rel":"revision","href":"/dashboards/5312/revisions/1"},{"rel":"download","href":"/dashboards/5312/revisions/1/download"},{"rel":"org","href":"/orgs/feisky"},{"rel":"images","href":"/dashboards/5312/images"},{"rel":"thumbnails","href":"/dashboards/5312/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2577,"status":1,"statusCode":"active","orgId":70968,"orgSlug":"socialcops","orgName":"SocialCops","slug":"final-setup-final","downloads":2173,"revisionId":3474,"revision":1,"name":"Kubernetes Cluster Health Monitoring","description":"A concise dashboard to monitor metrics collected by Deis Monitor. 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This version does not reqiure you to\nsetup the Kubernetes-app plugin. (https://github.com/grafana/kubernetes-app)\n\nUse this Helm chart to launch Grafana into a Kubernetes cluster.  It will include this dashboard and many more dashboards to give you visibility into the Kubernetes Cluster. (https://github.com/sekka1/cloud-public/tree/master/kubernetes/pods/grafana-helm)","readme":"Summary metrics about cluster health, deployments, statefulsets, nodes, pods, containers running on Kubernetes nodes scraped by [prometheus](https://github.com/prometheus/prometheus). Dashboard was taken from [here](https://grafana.com/dashboards/6417). This version does not reqiure you to setup the Kubernetes-app plugin. (https://github.com/grafana/kubernetes-app) Use this Helm chart to launch Grafana into a Kubernetes cluster. It will include this dashboard and many more dashboards to give you visibility into the Kubernetes Cluster. (https://github.com/sekka1/cloud-public/tree/master/kubernetes/pods/grafana-helm)\n\nGist is [here](https://gist.github.com/hemantha-kumara/de3884ddcd8125f955ab029b7c8776ca) \nBased on [JMX exporter prometheus](https://grafana.com/dashboards/6417)\n\nPrometheus configuration\n---\n```yaml\nscrape_configs:\n- job_name: kubernetes-pods\n  scrape_interval: 1m\n  scrape_timeout: 10s\n  metrics_path: /metrics\n  scheme: http\n  kubernetes_sd_configs:\n  - api_server: null\n    role: pod\n    namespaces:\n      names: []\n  relabel_configs:\n  - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape]\n    separator: ;\n    regex: \"true\"\n    replacement: $1\n    action: keep\n  - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_path]\n    separator: ;\n    regex: (.+)\n    target_label: __metrics_path__\n    replacement: $1\n    action: replace\n  - source_labels: [__address__, __meta_kubernetes_pod_annotation_prometheus_io_port]\n    separator: ;\n    regex: ([^:]+)(?::\\d+)?;(\\d+)\n    target_label: __address__\n    replacement: $1:$2\n    action: replace\n  - separator: ;\n    regex: __meta_kubernetes_pod_label_(.+)\n    replacement: $1\n    action: labelmap\n  - source_labels: [__meta_kubernetes_namespace]\n    separator: ;\n    regex: (.*)\n    target_label: namespace\n    replacement: $1\n    action: replace\n  - source_labels: [__meta_kubernetes_pod_name]\n    separator: ;\n    regex: (.*)\n    target_label: kubernetes_pod_name\n    replacement: $1\n    action: replace\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-01-24T09:39:01.000Z","updatedAt":"2019-01-24T11:00:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9706"},{"rel":"revisions","href":"/dashboards/9706/revisions"},{"rel":"revision","href":"/dashboards/9706/revisions/1"},{"rel":"download","href":"/dashboards/9706/revisions/1/download"},{"rel":"org","href":"/orgs/hemanthakumara"},{"rel":"images","href":"/dashboards/9706/images"},{"rel":"thumbnails","href":"/dashboards/9706/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7824,"status":1,"statusCode":"active","orgId":186348,"orgSlug":"covata","orgName":"covata","slug":"kubernetes-cluster-monitoring","downloads":4183,"revisionId":10772,"revision":2,"name":"Kubernetes Cluster Monitoring","description":"Monitors Kubernetes cluster using Prometheus. 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Uses cAdvisor metrics only.\r\n\r\n# 2020/03/12\r\n\r\nFilter by datasource/namespace/node.\r\n\r\n# 2018/10/12\r\nadd support multiple datasource\r\n\r\n# 2018/04/16\r\nAdd Image Version and App Up Time.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-02-22T03:31:37.000Z","updatedAt":"2020-03-12T09:09:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4784"},{"rel":"revisions","href":"/dashboards/4784/revisions"},{"rel":"revision","href":"/dashboards/4784/revisions/6"},{"rel":"download","href":"/dashboards/4784/revisions/6/download"},{"rel":"org","href":"/orgs/libac"},{"rel":"images","href":"/dashboards/4784/images"},{"rel":"thumbnails","href":"/dashboards/4784/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9873,"status":1,"statusCode":"active","orgId":74641,"orgSlug":"xdays","orgName":"xdays","slug":"kubernetes-cluster-monitoring","downloads":2354,"revisionId":13746,"revision":1,"name":"Kubernetes Cluster Monitoring","description":"Monitors Kubernetes cluster using Prometheus. 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Deploying WordPress in Cloud Native with Kubernetes\r\nExample of deploying to the Cloud Native of various cloud(ncloud, aws, etc.) based on [Example: Deploying WordPress and MySQL with Persistent Volumes](https://kubernetes.io/docs/tutorials/stateful-application/mysql-wordpress-persistent-volume/)\r\n- [JMSIGHT WordPress Example](https://em8g.com/landing/documents/example)\r\n### 2. Open Source Kubernetes Monitoring\r\nComplete Guide to build Kubernetes Monitoring with open sources (Grafana + Elasticsearch + Metricbeat)\r\n- [Open Source Kubernetes Monitoring - Grafana + Elasticsearch + Metricbeat](https://em8g.com/landing/documents/open-source-kubernetes-monitoring)\r\n### 3. 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Uses cAdvisor metrics only.","readme":"Kubernetes cluster monitoring 修改版，以namespace维度查看资源。适应于K8s 1.13+\n\nmodified from 'Kubernetes cluster monitoring',monitor resource by namespace.For K8s 1.13+","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-05-10T01:52:05.000Z","updatedAt":"2019-05-10T01:59:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10177"},{"rel":"revisions","href":"/dashboards/10177/revisions"},{"rel":"revision","href":"/dashboards/10177/revisions/1"},{"rel":"download","href":"/dashboards/10177/revisions/1/download"},{"rel":"org","href":"/orgs/zong"},{"rel":"images","href":"/dashboards/10177/images"},{"rel":"thumbnails","href":"/dashboards/10177/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7532,"status":1,"statusCode":"active","orgId":47972,"orgSlug":"xianyuluo","orgName":"Luo xianyu","slug":"kubernetes-cluster-monitoring-prometheus","downloads":560,"revisionId":10256,"revision":1,"name":"Kubernetes cluster monitoring (Prometheus)","description":"Monitors Kubernetes cluster using Prometheus. Shows overall cluster CPU / Memory / Filesystem usage as well as individual pod, containers, systemd services statistics. Uses cAdvisor metrics only.","readme":"中文：kubernetes非常全面的监控显示，可以分Node和Namespace展示。\r\n\r\nEnglish：Kubernetes very comprehensive monitoring display, which can be shown in Node and Namespace","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-08-14T09:36:36.000Z","updatedAt":"2018-08-14T12:09:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7532"},{"rel":"revisions","href":"/dashboards/7532/revisions"},{"rel":"revision","href":"/dashboards/7532/revisions/1"},{"rel":"download","href":"/dashboards/7532/revisions/1/download"},{"rel":"org","href":"/orgs/xianyuluo"},{"rel":"images","href":"/dashboards/7532/images"},{"rel":"thumbnails","href":"/dashboards/7532/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7550,"status":1,"statusCode":"active","orgId":47972,"orgSlug":"xianyuluo","orgName":"Luo xianyu","slug":"kubernetes-cluster-monitoring-prometheus","downloads":490,"revisionId":10274,"revision":1,"name":"Kubernetes cluster monitoring (Prometheus)","description":"Monitors Kubernetes cluster using Prometheus. Shows overall cluster CPU / Memory / Filesystem usage as well as individual pod, containers, systemd services statistics. Uses cAdvisor metrics only.","readme":"首先，这是一个kubernetes非常全面的监控面板；其次增加了几个选项：\"Cluster\"、“Node”、\"Namespace\"，并且 Node 和 Namespace 会随Cluster联动。\r\n\r\n注意：Cluster名称是在prometheus配置文件里面自定义的标签k8scluster，比如 k8scluster: jcyfb-k8s。请看第二张图片\r\n\r\nstatic_configs:\r\n      - targets: ['x.x.x.x:9090']\r\n        labels:\r\n          k8scluster: jcyfb-k8s","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-08-14T11:57:36.000Z","updatedAt":"2018-08-14T12:07:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7550"},{"rel":"revisions","href":"/dashboards/7550/revisions"},{"rel":"revision","href":"/dashboards/7550/revisions/1"},{"rel":"download","href":"/dashboards/7550/revisions/1/download"},{"rel":"org","href":"/orgs/xianyuluo"},{"rel":"images","href":"/dashboards/7550/images"},{"rel":"thumbnails","href":"/dashboards/7550/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4002,"status":1,"statusCode":"active","orgId":14826,"orgSlug":"rajatjindal83","orgName":"rajatjindal83","slug":"kubernetes-cluster-monitoring-via-prometheus","downloads":645,"revisionId":5433,"revision":1,"name":"Kubernetes cluster monitoring (Supports Datasource as Template Variable)","description":"Monitors Kubernetes cluster using Prometheus. Shows overall cluster CPU / Memory / Filesystem usage as well as individual pod, containers, systemd services statistics. Uses cAdvisor metrics only.","readme":"This is same as other graphs with datasource made variable. so you can use same dashboard for your dev/qa/production environments.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-12-13T02:26:24.000Z","updatedAt":"2017-12-14T20:38:34.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4002"},{"rel":"revisions","href":"/dashboards/4002/revisions"},{"rel":"revision","href":"/dashboards/4002/revisions/1"},{"rel":"download","href":"/dashboards/4002/revisions/1/download"},{"rel":"org","href":"/orgs/rajatjindal83"},{"rel":"images","href":"/dashboards/4002/images"},{"rel":"thumbnails","href":"/dashboards/4002/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":315,"status":1,"statusCode":"active","orgId":25650,"orgSlug":"instrumentisto","orgName":"Instrumentisto Team","slug":"kubernetes-cluster-monitoring-via-prometheus","downloads":22637742,"revisionId":5121,"revision":3,"name":"Kubernetes cluster monitoring (via Prometheus)","description":"Monitors Kubernetes cluster using Prometheus. Shows overall cluster CPU / Memory / Filesystem usage as well as individual pod, containers, systemd services statistics. Uses cAdvisor metrics only.","readme":"Full K8 solution with dashboards, alerts and KPIs available in Grafana Cloud free tier (with 10K free Prometheus series metrics and more): [https://grafana.com/signup/cloud/connect-account](https://grafana.com/signup/cloud/connect-account?pg=315dash)\r\n\r\n[![release](https://img.shields.io/github/release/instrumentisto/grafana-dashboard-kubernetes-prometheus.svg)](https://github.com/instrumentisto/grafana-dashboard-kubernetes-prometheus/releases/tag/v2)\r\n[![license](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/instrumentisto/grafana-dashboard-kubernetes-prometheus/blob/master/LICENSE.md)\r\n[![k8s](https://img.shields.io/badge/kubernetes-%5E1.4.0-green.svg)](https://github.com/kubernetes/kubernetes)\r\n[![prometheus](https://img.shields.io/badge/prometheus-%5E1.3.0-green.svg)](https://github.com/prometheus/prometheus)\r\n[![grafana](https://img.shields.io/badge/grafana-%5E3.1.1-green.svg)](https://github.com/grafana/grafana)\r\n[![link](https://img.shields.io/badge/grafana.net-link-blue.svg)](https://grafana.net/dashboards/315)\r\n\r\n\r\nInitial idea was taken from [this dashboard](https://grafana.net/dashboards/162)\r\nand improved to exclude `node-exporter` dependency and to give more information\r\nabout cluster state.\r\n\r\n\r\n\r\n## Requirements\r\n\r\nYou only need to have running [Kubernetes](http://kubernetes.io) cluster with \r\ndeployed [Prometheus](https://prometheus.io).\r\nPrometheus will use metrics provided by [cAdvisor](https://github.com/google/cadvisor) \r\nvia [kubelet](http://kubernetes.io/docs/admin/kubelet) service (runs on\r\neach node of Kubernetes cluster by default) and via \r\n[kube-apiserver](http://kubernetes.io/docs/admin/kube-apiserver) service only.\r\n\r\nYour Prometheus configuration has to contain following\r\n[`scrape_configs`](https://prometheus.io/docs/operating/configuration/#scrape_config): \r\n```yaml\r\nscrape_configs:\r\n  - job_name: kubernetes-nodes-cadvisor\r\n    scrape_interval: 10s\r\n    scrape_timeout: 10s\r\n    scheme: https  # remove if you want to scrape metrics on insecure port\r\n    tls_config:\r\n      ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt\r\n    bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token\r\n    kubernetes_sd_configs:\r\n      - role: node\r\n    relabel_configs:\r\n      - action: labelmap\r\n        regex: __meta_kubernetes_node_label_(.+)\r\n      # Only for Kubernetes ^1.7.3.\r\n      # See: https://github.com/prometheus/prometheus/issues/2916\r\n      - target_label: __address__\r\n        replacement: kubernetes.default.svc:443\r\n      - source_labels: [__meta_kubernetes_node_name]\r\n        regex: (.+)\r\n        target_label: __metrics_path__\r\n        replacement: /api/v1/nodes/${1}/proxy/metrics/cadvisor\r\n    metric_relabel_configs:\r\n      - action: replace\r\n        source_labels: [id]\r\n        regex: '^/machine\\.slice/machine-rkt\\\\x2d([^\\\\]+)\\\\.+/([^/]+)\\.service$'\r\n        target_label: rkt_container_name\r\n        replacement: '${2}-${1}'\r\n      - action: replace\r\n        source_labels: [id]\r\n        regex: '^/system\\.slice/(.+)\\.service$'\r\n        target_label: systemd_service_name\r\n        replacement: '${1}'\r\n```\r\n\r\n\r\n\r\n## Features\r\n\r\n- Total and used cluster resources: CPU, memory, filesystem.  \r\n  And total cluster network I/O pressure.  \r\n  ![Total and used cluster resources](https://raw.githubusercontent.com/instrumentisto/grafana-dashboard-kubernetes-prometheus/master/screens/total.png)\r\n- [Kubernetes pods](http://kubernetes.io/docs/user-guide/pods) usage:\r\n  CPU, memory, network I/O.  \r\n  ![Pods usage](https://raw.githubusercontent.com/instrumentisto/grafana-dashboard-kubernetes-prometheus/master/screens/pods.png)\r\n- Containers usage: CPU, memory, network I/O.  \r\n  [Docker](https://www.docker.com) and [rkt](https://coreos.com/rkt) containers\r\n  which runs on cluster nodes but outside Kubernetes are also monitored.  \r\n  ![Containers usage](https://raw.githubusercontent.com/instrumentisto/grafana-dashboard-kubernetes-prometheus/master/screens/containers.png)\r\n- [systemd](https://freedesktop.org/wiki/Software/systemd) system services\r\n  usage: CPU, memory.  \r\n  ![systemd usage](https://raw.githubusercontent.com/instrumentisto/grafana-dashboard-kubernetes-prometheus/master/screens/systemd.png)\r\n- Showing all above metrics both for all cluster and each node separately.  \r\n  ![Filtering metrics by nodes](https://raw.githubusercontent.com/instrumentisto/grafana-dashboard-kubernetes-prometheus/master/screens/by_nodes.png)\r\n\r\n\r\n\r\n## Troubleshooting\r\n\r\nIf filesystem usage panels display `N/A`, you should correct\r\n`device=~\"^/dev/[vs]da9$\"` filter parameter in metrics query with devices your\r\nsystem actually has. ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-08-13T16:19:19.000Z","updatedAt":"2023-03-20T19:10:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":11,"reviewsAvgRating":4.36,"links":[{"rel":"self","href":"/dashboards/315"},{"rel":"revisions","href":"/dashboards/315/revisions"},{"rel":"revision","href":"/dashboards/315/revisions/3"},{"rel":"download","href":"/dashboards/315/revisions/3/download"},{"rel":"org","href":"/orgs/instrumentisto"},{"rel":"images","href":"/dashboards/315/images"},{"rel":"thumbnails","href":"/dashboards/315/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":1621,"status":1,"statusCode":"active","orgId":47646,"orgSlug":"cjdc","orgName":"cjdc","slug":"kubernetes-cluster-monitoring-via-prometheus","downloads":14056011,"revisionId":2176,"revision":1,"name":"Kubernetes cluster monitoring (via Prometheus)","description":"Monitors Kubernetes cluster using Prometheus. Shows overall cluster CPU / Memory / Filesystem usage as well as individual pod, containers, systemd services statistics. Uses cAdvisor metrics only.","readme":"Same dashboard as what can be found [here](https://grafana.net/dashboards/315) but with a metric query change for the Cluster Filesystem usage by aggregating all available partitions provided by cAdvisor instead of just /dev/[sv]da9.\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-03-03T07:43:34.000Z","updatedAt":"2017-03-03T07:50:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1621"},{"rel":"revisions","href":"/dashboards/1621/revisions"},{"rel":"revision","href":"/dashboards/1621/revisions/1"},{"rel":"download","href":"/dashboards/1621/revisions/1/download"},{"rel":"org","href":"/orgs/cjdc"},{"rel":"images","href":"/dashboards/1621/images"},{"rel":"thumbnails","href":"/dashboards/1621/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15479,"status":1,"statusCode":"active","orgId":584413,"orgSlug":"linkerd","orgName":"linkerd","slug":"kubernetes-cluster-monitoring-via-prometheus","downloads":1103986,"revisionId":23447,"revision":2,"name":"Kubernetes cluster monitoring (via Prometheus)","description":"Monitors Kubernetes cluster using Prometheus. Shows overall cluster CPU / Memory / Filesystem usage as well as individual pod, containers, systemd services statistics. Uses cAdvisor metrics only.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-01-05T18:35:53.000Z","updatedAt":"2022-01-13T14:02:50.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15479"},{"rel":"revisions","href":"/dashboards/15479/revisions"},{"rel":"revision","href":"/dashboards/15479/revisions/2"},{"rel":"download","href":"/dashboards/15479/revisions/2/download"},{"rel":"org","href":"/orgs/linkerd"},{"rel":"images","href":"/dashboards/15479/images"},{"rel":"thumbnails","href":"/dashboards/15479/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3119,"status":1,"statusCode":"active","orgId":82979,"orgSlug":"jjo","orgName":"Jjo Org","slug":"kubernetes-cluster-monitoring-via-prometheus","downloads":285156,"revisionId":4373,"revision":2,"name":"Kubernetes cluster monitoring (via Prometheus)","description":"https://grafana.com/dashboards/3119 - Monitors Kubernetes cluster using Prometheus. Shows overall cluster CPU / Memory / Filesystem usage as well as individual pod, containers, control plane (as deployed by kops) statistics. Uses cAdvisor metrics only.\r\nTweaked from original https://grafana.com/dashboards/315 to add templating for:\r\n- adaptable $interval (instead of hardcoded 1m)\r\n- selectable $datasource (very useful to have a single dashboard tackling several prometheis )","readme":"Adapted from https://grafana.com/dashboards/315:\r\n   * moved from fixed `[1m]` to grafana auto-interval, see `$interval`\r\n   * adapted to kops-deployed control-plane components (no systemd, use `{kubernetes_io_role=\"master\", ...}` instead)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-09-05T00:06:07.000Z","updatedAt":"2017-09-08T15:22:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/3119"},{"rel":"revisions","href":"/dashboards/3119/revisions"},{"rel":"revision","href":"/dashboards/3119/revisions/2"},{"rel":"download","href":"/dashboards/3119/revisions/2/download"},{"rel":"org","href":"/orgs/jjo"},{"rel":"images","href":"/dashboards/3119/images"},{"rel":"thumbnails","href":"/dashboards/3119/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14205,"status":1,"statusCode":"active","orgId":268622,"orgSlug":"hosangchan","orgName":"hosangchan","slug":"kubernetes-cluster-monitoring-via-prometheus","downloads":393433,"revisionId":20877,"revision":1,"name":"Kubernetes Cluster Monitoring (via Prometheus)","description":"Monitors Kubernetes (1.16 and above) cluster using Prometheus. Shows overall cluster CPU / Memory / Filesystem usage as well as individual pod, containers, systemd services statistics. Uses cAdvisor metrics only.","readme":"To monitors Kubernetes (version 1.16 or above) deployments in cluster using Prometheus.\n\nThis dashboard is based on [https://grafana.com/grafana/dashboards/315](https://grafana.com/grafana/dashboards/315) to support the Kubernetes version 1.16 and above by modifying the metrics query.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-04-08T11:11:26.000Z","updatedAt":"2021-04-08T11:15:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14205"},{"rel":"revisions","href":"/dashboards/14205/revisions"},{"rel":"revision","href":"/dashboards/14205/revisions/1"},{"rel":"download","href":"/dashboards/14205/revisions/1/download"},{"rel":"org","href":"/orgs/hosangchan"},{"rel":"images","href":"/dashboards/14205/images"},{"rel":"thumbnails","href":"/dashboards/14205/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":162,"status":1,"statusCode":"active","orgId":14819,"orgSlug":"nayr","orgName":"Ryan vanniekerk","slug":"kubernetes-pod-monitoring","downloads":10384,"revisionId":204,"revision":1,"name":"Kubernetes cluster monitoring (via Prometheus)","description":"Monitor a Kubernetes cluster using Prometheus TSDB.  Shows overall cluster CPU / Memory / Disk usage as well as individual pod statistics. ","readme":"# Requirements\r\n## UPDATE \r\nI've added an example config for Prometheus 1.0.0 below as well\r\n\r\nPrometheus configured to collect data from the following inside of a Kubernetes cluster: \r\n*  node-exporter\r\n*  cadvisor\r\n\r\nNode-exporter should be a run as a daemonset on every minion,  Cadvisor is built into the kubelet and just needs to be scraped via Prometheus config. \r\n\r\n# Example Prometheus Config (pre 1.0.0)\r\n\r\n```\r\nscrape_configs:\r\n- job_name: 'kubernetes-cluster'\r\n\r\n  tls_config:\r\n    ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt\r\n  bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token\r\n\r\n  kubernetes_sd_configs:\r\n  - api_servers:\r\n    - 'https://kubernetes.default.svc'\r\n    in_cluster: true\r\n\r\n  relabel_configs:\r\n  - source_labels: [__meta_kubernetes_role]\r\n    action: keep\r\n    regex: (?:apiserver|node)\r\n  - action: labelmap\r\n    regex: __meta_kubernetes_node_label_(.+)\r\n  - source_labels: [__meta_kubernetes_role]\r\n    action: replace\r\n    target_label: kubernetes_role\r\n  - source_labels: [__address__]\r\n    regex: '(.*):10250'\r\n    replacement: '${1}:10255'\r\n    target_label: __address__\r\n\r\n- job_name: 'kubernetes-node-exporter'\r\n\r\n  tls_config:\r\n    ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt\r\n  bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token\r\n\r\n  kubernetes_sd_configs:\r\n  - api_servers:\r\n    - 'https://kubernetes.default.svc'\r\n    in_cluster: true\r\n\r\n  relabel_configs:\r\n  - source_labels: [__meta_kubernetes_role]\r\n    action: keep\r\n    regex: (node)\r\n  - action: labelmap\r\n    regex: __meta_kubernetes_node_label_(.+)\r\n  - source_labels: [__meta_kubernetes_role]\r\n    action: replace\r\n    target_label: kubernetes_role\r\n  - source_labels: [__address__]\r\n    regex: '(.*):10250'\r\n    replacement: '${1}:9100'\r\n    target_label: __address__\r\n```\r\n\r\n# Example Prometheus Config (1.0.0)\r\n```\r\nglobal:\r\n  scrape_interval: 10s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 10s\r\n\r\nscrape_configs:\r\n- job_name: 'kubernetes-nodes-cadvisor'\r\n  tls_config:\r\n    ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt\r\n  bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token\r\n  kubernetes_sd_configs:\r\n  - api_servers:\r\n    - 'https://kubernetes.default.svc'\r\n    in_cluster: true\r\n    role: node\r\n  relabel_configs:\r\n  - action: labelmap\r\n    regex: __meta_kubernetes_node_label_(.+)\r\n  - source_labels: [__meta_kubernetes_role]\r\n    action: replace\r\n    target_label: kubernetes_role\r\n  - source_labels: [__address__]\r\n    regex: '(.*):10250'\r\n    replacement: '${1}:10255'\r\n    target_label: __address__\r\n\r\n- job_name: 'kubernetes-apiserver-cadvisor'\r\n  tls_config:\r\n    ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt\r\n  bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token\r\n  kubernetes_sd_configs:\r\n  - api_servers:\r\n    - 'https://kubernetes.default.svc'\r\n    in_cluster: true\r\n    role: apiserver\r\n  relabel_configs:\r\n  - action: labelmap\r\n    regex: __meta_kubernetes_node_label_(.+)\r\n  - source_labels: [__meta_kubernetes_role]\r\n    action: replace\r\n    target_label: kubernetes_role\r\n  - source_labels: [__address__]\r\n    regex: '(.*):10250'\r\n    replacement: '${1}:10255'\r\n    target_label: __address__\r\n\r\n- job_name: 'kubernetes-node-exporter'\r\n  tls_config:\r\n    ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt\r\n  bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token\r\n  kubernetes_sd_configs:\r\n  - api_servers:\r\n    - 'https://kubernetes.default.svc'\r\n    in_cluster: true\r\n    role: node\r\n  relabel_configs:\r\n  - action: labelmap\r\n    regex: __meta_kubernetes_node_label_(.+)\r\n  - source_labels: [__meta_kubernetes_role]\r\n    action: replace\r\n    target_label: kubernetes_role\r\n  - source_labels: [__address__]\r\n    regex: '(.*):10250'\r\n    replacement: '${1}:9100'\r\n    target_label: __address__\r\n```\r\n\r\n# Suggested Grafana manifest for Kubernetes (if you aren't using the built-in monitoring addon)\r\n```\r\napiVersion: v1\r\nkind: Service\r\nmetadata:\r\n  name: grafana\r\nspec:\r\n  ports:\r\n  - port: 3000\r\n    targetPort: 3000\r\n  selector:\r\n    app: grafana\r\n---\r\napiVersion: extensions/v1beta1\r\nkind: Deployment\r\nmetadata:\r\n  labels:\r\n    app: grafana\r\n  name: grafana\r\nspec:\r\n  replicas: 1\r\n  revisionHistoryLimit: 2\r\n  template:\r\n    metadata:\r\n      labels:\r\n        app: grafana\r\n    spec:\r\n      containers:\r\n      - 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Shows overall cluster or Node CPU / Memory / Filesystem \n2. 基于K8 Cluster Detail Dashboard 和 Kubernetes for Prometheus Dashboard CN 20201209 修改，调整了布局","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-06-01T09:04:30.000Z","updatedAt":"2021-06-01T09:24:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":4,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14518"},{"rel":"revisions","href":"/dashboards/14518/revisions"},{"rel":"revision","href":"/dashboards/14518/revisions/1"},{"rel":"download","href":"/dashboards/14518/revisions/1/download"},{"rel":"org","href":"/orgs/ymc023"},{"rel":"images","href":"/dashboards/14518/images"},{"rel":"thumbnails","href":"/dashboards/14518/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15208,"status":1,"statusCode":"active","orgId":271092,"orgSlug":"hyomin","orgName":"Maco","slug":"kubernetes-cluster-overview","downloads":493,"revisionId":23160,"revision":3,"name":"Kubernetes Cluster Overview","description":"Kubernetes集群资源使用统计分布","readme":"## November 8th 2021, 6:12 PM  \n**要求** \n \n1、Grafana 7.5.11  \n\n**范围**  \n\nKubernetes集群资源使用统计，及事件消息汇总  \n\n## December 13th 2021, 12:28 PM  \n新增WorkNode节点的资源统计（CPU Memory）\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-11-08T10:02:40.000Z","updatedAt":"2021-12-13T04:35:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15208"},{"rel":"revisions","href":"/dashboards/15208/revisions"},{"rel":"revision","href":"/dashboards/15208/revisions/3"},{"rel":"download","href":"/dashboards/15208/revisions/3/download"},{"rel":"org","href":"/orgs/hyomin"},{"rel":"images","href":"/dashboards/15208/images"},{"rel":"thumbnails","href":"/dashboards/15208/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13239,"status":1,"statusCode":"active","orgId":355858,"orgSlug":"downager","orgName":"relk","slug":"kubernetes-cluster-overview","downloads":1629,"revisionId":19221,"revision":1,"name":"Kubernetes Cluster Overview (by Datasource)","description":"This dashboard can help to troubleshoot issues in Kubernetes cluster at cluster, node and namespace level.\n\n\nCalculate SLO and Error Budget without cronjob pod (pod name contains cronjob).","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-22T06:27:28.000Z","updatedAt":"2020-10-22T06:38:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13239"},{"rel":"revisions","href":"/dashboards/13239/revisions"},{"rel":"revision","href":"/dashboards/13239/revisions/1"},{"rel":"download","href":"/dashboards/13239/revisions/1/download"},{"rel":"org","href":"/orgs/downager"},{"rel":"images","href":"/dashboards/13239/images"},{"rel":"thumbnails","href":"/dashboards/13239/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16839,"status":1,"statusCode":"active","orgId":703558,"orgSlug":"arunlalashokv","orgName":"arunlalashokv","slug":"kubernetes-cluster-resource-summary","downloads":9478,"revisionId":25812,"revision":1,"name":"Kubernetes Cluster Resource Summary","description":"This dashboard will help you on maintaining a good TCO (Total Cost of Ownership) for your K8s cluster. You can analyse the overall resources usage Vs request and you can tweak the application resources accordingly.\r\n\r\nCurrently the tables created are more focusing on the requests configured and its usages against the cluster resources. \r\n\r\nIf the AVG request usage percentage is very less, your cluster is over provisioned. You need to tweak the resource request of your applications accordingly. This will help you to reduce the cost of your infrastructure.","readme":"This dashboard will help you on maintaining a good TCO (Total Cost of Ownership) for your K8s cluster. You can analyse the overall resources usage Vs request and you can tweak the application resources accordingly.\r\n\r\nCurrently the tables created are more focusing on the requests configured and its usages against the cluster resources. \r\n\r\nIf the AVG request usage percentage is very less, your cluster is over provisioned. You need to tweak the resource request of your applications accordingly. This will help you to reduce the cost of your infrastructure.\r\n\r\nThe panels uses recording rules which comes by default with the Prometheus operator. You can see it by editing the panels. \r\n\r\nShare your feedback. ","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-09-02T15:00:56.000Z","updatedAt":"2022-09-02T15:12:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16839"},{"rel":"revisions","href":"/dashboards/16839/revisions"},{"rel":"revision","href":"/dashboards/16839/revisions/1"},{"rel":"download","href":"/dashboards/16839/revisions/1/download"},{"rel":"org","href":"/orgs/arunlalashokv"},{"rel":"images","href":"/dashboards/16839/images"},{"rel":"thumbnails","href":"/dashboards/16839/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9766,"status":1,"statusCode":"active","orgId":233272,"orgSlug":"pastushenko","orgName":"pastushenko","slug":"kubernetes-cluster-resources","downloads":3962,"revisionId":13658,"revision":2,"name":"Kubernetes Cluster Resources","description":"Display usage of resources by namespaces in kubernetes cluster.","readme":"# Dashboard for k8s clusters that use kube-prometheus for collecting metrics.\n## About Dashboard\nThis dashboard will help you visualize resource utilization by cluster with resource quota.\n### Pie Charts\n* CPU Allocated Requests by Namespace\n* CPU Allocated Limits by Namespace\n* RAM Allocated Requests by Namespace\n* RAM Allocated Limits by Namespace\n\n### Singlestat panels\n* CPU Namespaces Limits Quota / CPU Cluster Resources\n* CPU Namespaces Requests Quota / CPU Cluster Resources\n* CPU All Pods Requests / CPU Cluster Resources\n* CPU All Pods Limits / CPU Cluster Resources\n* RAM Namespaces Limits Quota / RAM Cluster Resources\n* RAM Namespaces Requests Quota / RAM Cluster Resources\n* RAM All Pods Requests / RAM Cluster Resources\n* RAM All Pods Limits / RAM Cluster Resources\n* Actual Pods Count / Pods quota\n### Graph panels\n#### CPU\n* CPU All Allocable Resources\n* CPU Actual Usage\n* CPU Quota Limits\n* CPU Quota Requests\n* CPU Used Limits\n* CPU Used Requests\n\n#### RAM\n* RAM All Allocable Resources\n* RAM Actual Usage\n* RAM Quota Limits\n* RAM Quota Requests\n* RAM Used Limits\n* RAM Used Requests\n\n#### Pods Count per Node\n* Pods per node\n\n## How to use\nAfter importing dashboard - create variable $source that will contain the datasource (if you are using different datasources for different cluster), or just hardcode it.\n\n## How to contribute\nFeel free to make PR in [github repository](https://github.com/yuripastushenko/k8s-resource-quota-dashboards).\n\n## Other k8s resources dashboards\n* [Kubernetes Pods/Containers Resources](https://grafana.com/dashboards/9810)\n* [Kubernetes Namespace Resources](https://grafana.com/dashboards/9809)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-02-06T15:48:07.000Z","updatedAt":"2019-02-18T09:28:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9766"},{"rel":"revisions","href":"/dashboards/9766/revisions"},{"rel":"revision","href":"/dashboards/9766/revisions/2"},{"rel":"download","href":"/dashboards/9766/revisions/2/download"},{"rel":"org","href":"/orgs/pastushenko"},{"rel":"images","href":"/dashboards/9766/images"},{"rel":"thumbnails","href":"/dashboards/9766/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5505,"status":1,"statusCode":"active","orgId":138673,"orgSlug":"chuyeow","orgName":"chuyeow","slug":"kubernetes-cluster-status","downloads":8305,"revisionId":7395,"revision":1,"name":"Kubernetes Cluster Status","description":"-","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-04-11T06:49:30.000Z","updatedAt":"2018-04-11T06:49:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5505"},{"rel":"revisions","href":"/dashboards/5505/revisions"},{"rel":"revision","href":"/dashboards/5505/revisions/1"},{"rel":"download","href":"/dashboards/5505/revisions/1/download"},{"rel":"org","href":"/orgs/chuyeow"},{"rel":"images","href":"/dashboards/5505/images"},{"rel":"thumbnails","href":"/dashboards/5505/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5315,"status":1,"statusCode":"active","orgId":64598,"orgSlug":"feisky","orgName":"feisky","slug":"kubernetes-cluster-status","downloads":8164,"revisionId":7073,"revision":1,"name":"Kubernetes Cluster Status (Prometheus)","description":"Kubernetes Cluster Status (Prometheus)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-03-28T09:00:27.000Z","updatedAt":"2018-03-28T09:00:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5315"},{"rel":"revisions","href":"/dashboards/5315/revisions"},{"rel":"revision","href":"/dashboards/5315/revisions/1"},{"rel":"download","href":"/dashboards/5315/revisions/1/download"},{"rel":"org","href":"/orgs/feisky"},{"rel":"images","href":"/dashboards/5315/images"},{"rel":"thumbnails","href":"/dashboards/5315/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10424,"status":1,"statusCode":"active","orgId":258956,"orgSlug":"gru","orgName":"gru","slug":"kubernetes-cluster-summary","downloads":829,"revisionId":14554,"revision":1,"name":"Kubernetes Cluster Summary","description":"Summary metrics about containers running on Kubernetes nodes and mainline kubernetes statistics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-06-24T09:36:36.000Z","updatedAt":"2019-06-24T09:37:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10424"},{"rel":"revisions","href":"/dashboards/10424/revisions"},{"rel":"revision","href":"/dashboards/10424/revisions/1"},{"rel":"download","href":"/dashboards/10424/revisions/1/download"},{"rel":"org","href":"/orgs/gru"},{"rel":"images","href":"/dashboards/10424/images"},{"rel":"thumbnails","href":"/dashboards/10424/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10339,"status":1,"statusCode":"active","orgId":257136,"orgSlug":"codenotary","orgName":"Dennis Zimmer","slug":"kubernetes-codenotary-vcn-overview","downloads":931,"revisionId":16835,"revision":4,"name":"Kubernetes CodeNotary vcn Overview","description":"This dashboard shows the running Kubernetes (docker container platform) container verification status based on CodeNotary.io results.","readme":"CodeNotary.io is a blockchain-based verification and integrity platform for files, container images and any other digital asset. You can make sure that you only run internally trusted or 3rd party trusted container images in your environment.\n\n[CodeNotary vcn ](https://github.com/vchain-us/vcn)\n\nThis dashboard shows the running Kubernetes (docker container platform) container verification status based on CodeNotary.io results. The supported datasource is Prometheus and there is a open source project to get all up and running within minutes:\n\n[CodeNotary vcn for Kubernetes](https://github.com/vchain-us/vcn-k8s)\n\nThis tool is designed as a sidecar for your existing Kubernetes environment. All running containers are continuously checked via vcn for integrity. If a container fails the verification check, a customizable alert is triggered.\nThere is a prometheus exporter out of the box and the kubernetes annotations are set in the daemonset.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-06-13T10:37:25.000Z","updatedAt":"2021-02-05T09:44:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10339"},{"rel":"revisions","href":"/dashboards/10339/revisions"},{"rel":"revision","href":"/dashboards/10339/revisions/4"},{"rel":"download","href":"/dashboards/10339/revisions/4/download"},{"rel":"org","href":"/orgs/codenotary"},{"rel":"images","href":"/dashboards/10339/images"},{"rel":"thumbnails","href":"/dashboards/10339/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":482,"status":1,"statusCode":"active","orgId":10002,"orgSlug":"awoods","orgName":"Anthony Woods","slug":"kubernetes-container-stats","downloads":2337,"revisionId":641,"revision":1,"name":"Kubernetes Container Stats","description":"Summery metrics about containers running on Kubernetes nodes.","readme":"This dashboard provides summary performance and availability metrics of a Kubernetes Node.  The data for this dashboard is expected to come from Snap agents running on every Kubernetes Node.  This is best achieved by using the [snap_k8s](https://hub.docker.com/r/raintank/snap_k8s/) docker image available on docker hub.\r\n\r\nTo deploy the snap_k8s containers in your Kubernetes environment it is advised to use the following DaemonSet config.\r\n```\r\napiVersion: extensions/v1beta1\r\nkind: DaemonSet\r\nmetadata:\r\n  name: snap\r\n  namespace: kube-system\r\nspec:\r\n  template:\r\n    metadata:\r\n      name: snap\r\n      labels:\r\n        daemon: snapd\r\n    spec:\r\n      hostPID: true\r\n      hostNetwork: true\r\n      containers:\r\n      - name: snap\r\n        image: raintank/snap_k8s:v4\r\n        volumeMounts:\r\n          - mountPath: /sys/fs/cgroup\r\n            name: cgroup\r\n          - mountPath: /var/run/docker.sock\r\n            name: docker-sock\r\n          - mountPath: /var/lib/docker\r\n            name: fs-stats\r\n          - mountPath: /usr/local/bin/docker\r\n            name: docker\r\n          - mountPath: /proc_host\r\n            name: proc\r\n          - mountPath: /opt/snap/tasks\r\n            name: snap-tasks\r\n        ports:\r\n        - containerPort: 8181\r\n          hostPort: 8181\r\n          name: snap-api\r\n        imagePullPolicy: IfNotPresent\r\n        securityContext:\r\n          privileged: true\r\n        env:\r\n          - name: PROCFS_MOUNT\r\n            value: /proc_host\r\n      volumes:\r\n        - name: dev\r\n          hostPath:\r\n            path: /dev\r\n        - name: cgroup\r\n          hostPath:\r\n            path: /sys/fs/cgroup\r\n        - name: docker-sock\r\n          hostPath:\r\n            path: /var/run/docker.sock\r\n        - name: fs-stats\r\n          hostPath:\r\n            path: /var/lib/docker\r\n        - name: docker\r\n          hostPath:\r\n            path: /usr/bin/docker\r\n        - name: proc\r\n          hostPath:\r\n            path: /proc\r\n        - name: snap-tasks\r\n          configMap:\r\n            name: snap-tasks\r\n---\r\napiVersion: v1\r\nkind: ConfigMap\r\nmetadata:\r\n  name: snap-tasks\r\n  namespace: kube-system\r\ndata:\r\n  core.json: |-\r\n    {\r\n        \"version\": 1,\r\n        \"schedule\": {\r\n            \"type\": \"simple\",\r\n            \"interval\": \"10s\"\r\n        },\r\n        \"workflow\": {\r\n            \"collect\": {\r\n                \"metrics\": {\r\n                    \"/intel/docker/*\":{},\r\n                    \"/intel/procfs/cpu/*\": {},\r\n                    \"/intel/procfs/meminfo/*\": {},\r\n                    \"/intel/procfs/iface/*\": {},\r\n                    \"/intel/linux/iostat/*\": {},\r\n                    \"/intel/procfs/load/*\": {}\r\n                },\r\n                \"config\": {\r\n                    \"/intel/procfs\": {\r\n                        \"proc_path\": \"/proc_host\"\r\n                    }\r\n                },\r\n                \"process\": null,\r\n                \"publish\": [\r\n                    {\r\n                        \"plugin_name\": \"graphite\",                    \r\n                        \"config\": {\r\n                            \"prefix\": \"snap.dev.<%NODE%>\",\r\n                            \"server\": \"graphite.local\",\r\n                            \"port\": 2003\r\n                        }\r\n                    }\r\n                ]\r\n            }\r\n        }\r\n    }\r\n\r\n```\r\n\r\nThe only section that you should change is the graphite config. \r\n- The server and port should be that of your Graphite server.  \r\n- The prefix will be inserted at the start of every metric produced by snap. For this dashboard the prefix is expected to be in the format \"snap.<environment>.<host>\" , where <environment> is something like \"dev\", \"qa\" or \"prod\" and <host> is the hostname of the Kubernetes node.  When using the **snap_k8s** docker image the literal string \"<%NODE%>\" can be used in the prefix and it will be replaced with the slugified representation of the hostname that the container is running on.  So if the hostname was \"k8s-node1.dev.raintank.io\" <%NODE%> would be replaced with \"k8s-node1_dev_raintank_io\".\r\n\r\n\r\nSimply write the kubernetes DaemonSet and ConfigMap to a file name **snap_ds.yaml**, then run\r\n```\r\nkubectl create -f snap_ds.yaml\r\n```","collectorType":"Snap","collectorConfig":null,"collectorPluginList":"Docker","datasource":"Graphite","privacy":"public","createdAt":"2016-09-20T15:19:31.000Z","updatedAt":"2016-09-20T15:34:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/482"},{"rel":"revisions","href":"/dashboards/482/revisions"},{"rel":"revision","href":"/dashboards/482/revisions/1"},{"rel":"download","href":"/dashboards/482/revisions/1/download"},{"rel":"org","href":"/orgs/awoods"},{"rel":"images","href":"/dashboards/482/images"},{"rel":"thumbnails","href":"/dashboards/482/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":9878,"status":1,"statusCode":"active","orgId":168953,"orgSlug":"desaintmartin","orgName":"Cédric de Saint Martin","slug":"control-plane","downloads":1053,"revisionId":13752,"revision":1,"name":"Kubernetes Control Plane","description":"Clone of https://raw.githubusercontent.com/stefanprodan/k8s-grafana/master/chart/grafana/dashboards/control-plane.json","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-03-05T09:44:55.000Z","updatedAt":"2019-03-05T09:45:21.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9878"},{"rel":"revisions","href":"/dashboards/9878/revisions"},{"rel":"revision","href":"/dashboards/9878/revisions/1"},{"rel":"download","href":"/dashboards/9878/revisions/1/download"},{"rel":"org","href":"/orgs/desaintmartin"},{"rel":"images","href":"/dashboards/9878/images"},{"rel":"thumbnails","href":"/dashboards/9878/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5508,"status":1,"statusCode":"active","orgId":138673,"orgSlug":"chuyeow","orgName":"chuyeow","slug":"kubernetes-control-plane-status","downloads":11244,"revisionId":7398,"revision":1,"name":"Kubernetes Control Plane Status","description":"-","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-04-11T06:50:04.000Z","updatedAt":"2018-04-11T06:50:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5508"},{"rel":"revisions","href":"/dashboards/5508/revisions"},{"rel":"revision","href":"/dashboards/5508/revisions/1"},{"rel":"download","href":"/dashboards/5508/revisions/1/download"},{"rel":"org","href":"/orgs/chuyeow"},{"rel":"images","href":"/dashboards/5508/images"},{"rel":"thumbnails","href":"/dashboards/5508/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15877,"status":1,"statusCode":"active","orgId":611003,"orgSlug":"empathy","orgName":"empathy","slug":"kubernetes-cost-report","downloads":1230,"revisionId":24229,"revision":2,"name":"Kubernetes Cost Report","description":"","readme":"-   Kubernetes Cost Report detailed by\r\n    \r\n    -   Cluster\r\n        \r\n        -   OnDemand InstanceType\r\n            \r\n        -   Spot InstanceType\r\n            \r\n        -   Total Daily Cluster Cost (gauge) (timeseries per instance)\r\n            \r\n        -   Idle Daily Cluster Cost (gauge)\r\n            \r\n        -   Available Daily Cluster Cost (gauge)\r\n            \r\n        -   Underutilization Daily Cluster Cost (gauge)\r\n            \r\n        -   Usage Daily Cluster Cost (gauge)\r\n            \r\n        -   Shared Daily Cluster Cost (gauge)\r\n            \r\n        -   Total Monthly Persistent Volume Cost (gauge)\r\n            \r\n        -   Daily Cluster Cost per Instance Type and Capacity Type (bar gauge)\r\n            \r\n        -   Daily Cluster Cost per Instance Type and Capacity Type (graph)\r\n            \r\n        -   Daily Idle Cost per Instance Type and Capacity Type (bar gauge)\r\n            \r\n        -   Daily Idle Cost per Instance Type and Capacity Type (graph)\r\n            \r\n        - 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[https://github.com/dellnoantechnp/grafana_dashboards](https://github.com/dellnoantechnp/grafana_dashboards)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2023-11-22T06:05:46.000Z","updatedAt":"2024-02-18T07:48:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20018"},{"rel":"revisions","href":"/dashboards/20018/revisions"},{"rel":"revision","href":"/dashboards/20018/revisions/1"},{"rel":"download","href":"/dashboards/20018/revisions/1/download"},{"rel":"org","href":"/orgs/dellnoantechnp"},{"rel":"images","href":"/dashboards/20018/images"},{"rel":"thumbnails","href":"/dashboards/20018/thumbnails"}],"datasourceSlugs":["loki"]},{"id":14491,"status":1,"statusCode":"active","orgId":501306,"orgSlug":"lilamou06","orgName":"lilamou06","slug":"kubernetes-for-prometheus-dashboard","downloads":4435,"revisionId":21467,"revision":3,"name":"Kubernetes 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glance.**\r\n\r\nPublic cloud providers expose codes for their regions (e. g. AWS exposes code `us-east-1`) and those map to a location (US East - N. Virginia).\r\n\r\nThere are 2 artifacts of this project which can be used for different purposes:\r\n * [Gazetteer Files](#gazetteer-files) - contains mapping of the cloud region code to latitude and longitude\r\n * [Grafana Kubernetes Dashboard](#grafana-dashboard) - leverages the gazetteer files and metrics provided by [kube-state-metrics](https://github.com/kubernetes/kube-state-metrics) and displays Kubernetes resources in a Grafana Geomap Dashboard.\r\n\r\n## [Grafana Dashboard](https://grafana.com/grafana/dashboards/19963)\r\n\r\n * https://grafana.com/grafana/dashboards/19963\r\n * https://raw.githubusercontent.com/dohnto/k8s-geomap-dashboard/main/dashboards/dashboard.json\r\n\r\n\r\n## Gazetteer Files\r\n\r\n * AWS: https://raw.githubusercontent.com/dohnto/k8s-geomap-dashboard/main/gazetteer/aws.json\r\n * GCP: https://raw.githubusercontent.com/dohnto/k8s-geomap-dashboard/main/gazetteer/gcp.json\r\n * Azure: https://raw.githubusercontent.com/dohnto/k8s-geomap-dashboard/main/gazetteer/azure.json\r\n * Oracle: https://raw.githubusercontent.com/dohnto/k8s-geomap-dashboard/main/gazetteer/oracle.json\r\n * Merged: https://raw.githubusercontent.com/dohnto/k8s-geomap-dashboard/main/gazetteer/cloud-regions.json\r\n\r\n## What Cloud Providers are Covered?\r\n * AWS\r\n * GCP\r\n * Azure\r\n * Oracle\r\n\r\n## What Metrics Contain Cloud Regions?\r\n * [kube-state-metrics](https://github.com/kubernetes/kube-state-metrics):\r\n    * `kube_node_labels{label_topology_kubernetes_io_region}`\r\n    * `kube_persistentvolume_labels{label_topology_kubernetes_io_region}`\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-11T14:03:07.000Z","updatedAt":"2023-12-03T09:28:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19963"},{"rel":"revisions","href":"/dashboards/19963/revisions"},{"rel":"revision","href":"/dashboards/19963/revisions/5"},{"rel":"download","href":"/dashboards/19963/revisions/5/download"},{"rel":"org","href":"/orgs/dohnto"},{"rel":"images","href":"/dashboards/19963/images"},{"rel":"thumbnails","href":"/dashboards/19963/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12575,"status":1,"statusCode":"active","orgId":383613,"orgSlug":"opstreedevops","orgName":"opstreedevops","slug":"kubernetes-ingress-controller-dashboard","downloads":247347,"revisionId":18078,"revision":2,"name":"Kubernetes Ingress Controller Dashboard","description":"This Dashboard contains metrics visualization of Nginx Ingress Controller Running in Kubernetes Using Prometheus as Datasource.","readme":"# Kubernetes Ingress Controller Dashboard\n\nThis Dashboard contains metrics visualization of Nginx Ingress Controller Running in Kubernetes Using Prometheus as Datasource. 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IP\r\n - IP Extended\r\n - TCP\r\n - TCP Extended\r\n - UDP\r\n - UDP Light\r\n","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"netstat","datasource":"Prometheus","privacy":"public","createdAt":"2017-09-19T12:40:16.000Z","updatedAt":"2017-10-30T13:59:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3259"},{"rel":"revisions","href":"/dashboards/3259/revisions"},{"rel":"revision","href":"/dashboards/3259/revisions/1"},{"rel":"download","href":"/dashboards/3259/revisions/1/download"},{"rel":"org","href":"/orgs/bartvanbos"},{"rel":"images","href":"/dashboards/3259/images"},{"rel":"thumbnails","href":"/dashboards/3259/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20188,"status":1,"statusCode":"active","orgId":1015428,"orgSlug":"yvesbouckaert","orgName":"yvesbouckaert","slug":"kubernetes-nginx-ingress","downloads":92419,"revisionId":31053,"revision":1,"name":"Kubernetes Nginx Ingress","description":"Nginx Ingress Controller via Prometheus Metrics Dashboard created for DevOps Nirvana @ https://github.com/DevOps-Nirvana","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-12-20T15:34:48.000Z","updatedAt":"2023-12-20T15:34:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20188"},{"rel":"revisions","href":"/dashboards/20188/revisions"},{"rel":"revision","href":"/dashboards/20188/revisions/1"},{"rel":"download","href":"/dashboards/20188/revisions/1/download"},{"rel":"org","href":"/orgs/yvesbouckaert"},{"rel":"images","href":"/dashboards/20188/images"},{"rel":"thumbnails","href":"/dashboards/20188/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10187,"status":1,"statusCode":"active","orgId":229898,"orgSlug":"ybma","orgName":"ybma","slug":"nginx","downloads":17388,"revisionId":14242,"revision":1,"name":"Kubernetes Nginx Ingress Controller","description":"Dashboard for ingress-nginx","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-05-13T06:20:33.000Z","updatedAt":"2019-05-13T06:21:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":3,"reviewsAvgRating":3.67,"links":[{"rel":"self","href":"/dashboards/10187"},{"rel":"revisions","href":"/dashboards/10187/revisions"},{"rel":"revision","href":"/dashboards/10187/revisions/1"},{"rel":"download","href":"/dashboards/10187/revisions/1/download"},{"rel":"org","href":"/orgs/ybma"},{"rel":"images","href":"/dashboards/10187/images"},{"rel":"thumbnails","href":"/dashboards/10187/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13634,"status":1,"statusCode":"active","orgId":373923,"orgSlug":"andreynovik1993","orgName":"andreynovik1993","slug":"kubernetes-nginx-ingress-controller-2","downloads":580,"revisionId":19909,"revision":1,"name":"Kubernetes Nginx Ingress Controller","description":"Dashboard for ingress-nginx 2","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-12-24T12:24:04.000Z","updatedAt":"2020-12-24T12:24:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13634"},{"rel":"revisions","href":"/dashboards/13634/revisions"},{"rel":"revision","href":"/dashboards/13634/revisions/1"},{"rel":"download","href":"/dashboards/13634/revisions/1/download"},{"rel":"org","href":"/orgs/andreynovik1993"},{"rel":"images","href":"/dashboards/13634/images"},{"rel":"thumbnails","href":"/dashboards/13634/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14314,"status":1,"statusCode":"active","orgId":488489,"orgSlug":"farley","orgName":"farley","slug":"kubernetes-nginx-ingress-controller-nextgen-devops-nirvana","downloads":1797580,"revisionId":21083,"revision":2,"name":"Kubernetes Nginx Ingress Prometheus NextGen","description":"Nginx Ingress Controller via Prometheus Metrics Dashboard created for DevOps Nirvana @ https://github.com/DevOps-Nirvana","readme":"# Kubernetes Nginx Ingress Controller via Prometheus\n\nIf you are using [Nginx Ingress](https://github.com/kubernetes/ingress-nginx) (which you should be) and [Prometheus](https://prometheus.io/) (which you also should be) this dashboard is a dream.\n\n![Nginx Ingress Dashboard](https://github.com/DevOps-Nirvana/Grafana-Dashboards/raw/main/images/kubernetes-nginx-ingress-via-prometheus2.png)\n\nThis was created after much frustration from lack-of-visibility with the currently available open source dashboards.  It's loosely based on a number of other dashboards including the [official Grafana Dashboards for Nginx Ingress](https://github.com/kubernetes/ingress-nginx/tree/master/deploy/grafana/dashboards).  This dashboard largely replaces the need for any/all other ingress dashboard.  This is a ~20th generation dashboard at this time, having been iterated and iterated upon with every usage of it.\n\nHighlights:\n* This dashboard is an beautiful visual heartbeat of your system.\n* Top middle center is a green-backed \"Percentage Success\" which changes color as the reliability decreases.\n* The top row instantly gives you overall and \"now\" (last 2 min) insights into your traffic usage\n* The next row gives you some insights of the traffic and status codes\n* You then have some beautiful latency percentiles and averages and heatmap\n* And finally connection counts (note: connection counts are not tallied per-ingress, only per-controller).\n* Similar to the [official Dashboards](https://github.com/kubernetes/ingress-nginx/tree/master/deploy/grafana/dashboards), the graphs show the Config Reloads\n* Click on the various status codes to hide all other status codes and get an insight into the one status code you wish to view the graph on.\n* Hover over graphs on the top-left HTTP Requests / Ingress graph to find out which ingresses have which traffic loads.\n* Change the variables such as namespace, or ingress above to dive into your various services and get more direct insight on only those service(s).\n* All the percentage-success metrics and graphs skip over things like 404, 499 (nginx-specific), and \n* Is _more_ future-friendly than the [official Dashboard](https://github.com/kubernetes/ingress-nginx/tree/master/deploy/grafana/dashboards) by supporting the new multi-namespace feature Nginx Ingress by allowing you to choose the namespace of the **ingress**, not of the controller.\n\n**WARNING**: The JSON appears to not import properly on some Grafana versions, namely the one that's \"live\" on grafana.net.  I will debug and repair this when I can.  :(  I can confirm it imports fine on 7.4.3 at the moment, and this was originally made on a 6.x.x release.  So it should work there.  Please send issues to [Github](https://github.com/DevOps-Nirvana/Grafana-Dashboards) if you have them.\n\nFrom: [DevOps Nirvana - Grafana Dashboards](https://github.com/DevOps-Nirvana/Grafana-Dashboards)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-04-27T10:36:56.000Z","updatedAt":"2021-04-27T13:06:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":5,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14314"},{"rel":"revisions","href":"/dashboards/14314/revisions"},{"rel":"revision","href":"/dashboards/14314/revisions/2"},{"rel":"download","href":"/dashboards/14314/revisions/2/download"},{"rel":"org","href":"/orgs/farley"},{"rel":"images","href":"/dashboards/14314/images"},{"rel":"thumbnails","href":"/dashboards/14314/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20187,"status":1,"statusCode":"active","orgId":1015428,"orgSlug":"yvesbouckaert","orgName":"yvesbouckaert","slug":"kubernetes-nginx-ingress-prometheus-nextgen","downloads":385,"revisionId":31052,"revision":1,"name":"Kubernetes Nginx Ingress Prometheus NextGen","description":"Nginx Ingress Controller via Prometheus Metrics Dashboard created for DevOps Nirvana @ https://github.com/DevOps-Nirvana","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-12-20T15:31:34.000Z","updatedAt":"2023-12-20T15:36:21.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20187"},{"rel":"revisions","href":"/dashboards/20187/revisions"},{"rel":"revision","href":"/dashboards/20187/revisions/1"},{"rel":"download","href":"/dashboards/20187/revisions/1/download"},{"rel":"org","href":"/orgs/yvesbouckaert"},{"rel":"images","href":"/dashboards/20187/images"},{"rel":"thumbnails","href":"/dashboards/20187/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3050,"status":1,"statusCode":"active","orgId":28461,"orgSlug":"derekamz","orgName":"derekamz","slug":"ingress-stats","downloads":7727,"revisionId":4205,"revision":1,"name":"Kubernetes nginx ingress stats","description":"Show stats from the kubernetes nginx ingress","readme":"Ingress stats use k8s + prometheus","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-08-28T08:56:13.000Z","updatedAt":"2017-08-28T09:00:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3050"},{"rel":"revisions","href":"/dashboards/3050/revisions"},{"rel":"revision","href":"/dashboards/3050/revisions/1"},{"rel":"download","href":"/dashboards/3050/revisions/1/download"},{"rel":"org","href":"/orgs/derekamz"},{"rel":"images","href":"/dashboards/3050/images"},{"rel":"thumbnails","href":"/dashboards/3050/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3320,"status":1,"statusCode":"active","orgId":82979,"orgSlug":"jjo","orgName":"Jjo Org","slug":"kubernetes-node-exporter-full","downloads":10939,"revisionId":4598,"revision":1,"name":"Kubernetes Node Exporter Full","description":"Based on https://grafana.com/dashboards/1860 , with some small changes for job naming under kubernetes.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-09-27T12:24:23.000Z","updatedAt":"2017-09-27T12:25:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3320"},{"rel":"revisions","href":"/dashboards/3320/revisions"},{"rel":"revision","href":"/dashboards/3320/revisions/1"},{"rel":"download","href":"/dashboards/3320/revisions/1/download"},{"rel":"org","href":"/orgs/jjo"},{"rel":"images","href":"/dashboards/3320/images"},{"rel":"thumbnails","href":"/dashboards/3320/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":470,"status":1,"statusCode":"active","orgId":10002,"orgSlug":"awoods","orgName":"Anthony Woods","slug":"kubernetes-node-host-metrics","downloads":1125,"revisionId":629,"revision":1,"name":"Kubernetes Node host metrics","description":"Summary metrics of Kubernetes Nodes","readme":"This dashboard provides summary performance and availability metrics of a Kubernetes Node.  The data for this dashboard is expected to come from Snap agents running on every Kubernetes Node.  This is best achieved by using the [snap_k8s](https://hub.docker.com/r/raintank/snap_k8s/) docker image available on docker hub.\r\n\r\nTo deploy the snap_k8s containers in your Kubernetes environment it is advised to use the following DaemonSet config.\r\n```\r\napiVersion: extensions/v1beta1\r\nkind: DaemonSet\r\nmetadata:\r\n  name: snap\r\n  namespace: kube-system\r\nspec:\r\n  template:\r\n    metadata:\r\n      name: snap\r\n      labels:\r\n        daemon: snapd\r\n    spec:\r\n      hostPID: true\r\n      hostNetwork: true\r\n      containers:\r\n      - name: snap\r\n        image: raintank/snap_k8s:v4\r\n        volumeMounts:\r\n          - mountPath: /sys/fs/cgroup\r\n            name: cgroup\r\n          - mountPath: /var/run/docker.sock\r\n            name: docker-sock\r\n          - mountPath: /var/lib/docker\r\n            name: fs-stats\r\n          - mountPath: /usr/local/bin/docker\r\n            name: docker\r\n          - mountPath: /proc_host\r\n            name: proc\r\n          - mountPath: /opt/snap/tasks\r\n            name: snap-tasks\r\n        ports:\r\n        - containerPort: 8181\r\n          hostPort: 8181\r\n          name: snap-api\r\n        imagePullPolicy: IfNotPresent\r\n        securityContext:\r\n          privileged: true\r\n        env:\r\n          - name: PROCFS_MOUNT\r\n            value: /proc_host\r\n      volumes:\r\n        - name: dev\r\n          hostPath:\r\n            path: /dev\r\n        - name: cgroup\r\n          hostPath:\r\n            path: /sys/fs/cgroup\r\n        - name: docker-sock\r\n          hostPath:\r\n            path: /var/run/docker.sock\r\n        - name: fs-stats\r\n          hostPath:\r\n            path: /var/lib/docker\r\n        - name: docker\r\n          hostPath:\r\n            path: /usr/bin/docker\r\n        - name: proc\r\n          hostPath:\r\n            path: /proc\r\n        - name: snap-tasks\r\n          configMap:\r\n            name: snap-tasks\r\n---\r\napiVersion: v1\r\nkind: ConfigMap\r\nmetadata:\r\n  name: snap-tasks\r\n  namespace: kube-system\r\ndata:\r\n  core.json: |-\r\n    {\r\n        \"version\": 1,\r\n        \"schedule\": {\r\n            \"type\": \"simple\",\r\n            \"interval\": \"10s\"\r\n        },\r\n        \"workflow\": {\r\n            \"collect\": {\r\n                \"metrics\": {\r\n                    \"/intel/docker/*\":{},\r\n                    \"/intel/procfs/cpu/*\": {},\r\n                    \"/intel/procfs/meminfo/*\": {},\r\n                    \"/intel/procfs/iface/*\": {},\r\n                    \"/intel/linux/iostat/*\": {},\r\n                    \"/intel/procfs/load/*\": {}\r\n                },\r\n                \"config\": {\r\n                    \"/intel/procfs\": {\r\n                        \"proc_path\": \"/proc_host\"\r\n                    }\r\n                },\r\n                \"process\": null,\r\n                \"publish\": [\r\n                    {\r\n                        \"plugin_name\": \"graphite\",                    \r\n                        \"config\": {\r\n                            \"prefix\": \"snap.dev.<%NODE%>\",\r\n                            \"server\": \"graphite.local\",\r\n                            \"port\": 2003\r\n                        }\r\n                    }\r\n                ]\r\n            }\r\n        }\r\n    }\r\n\r\n```\r\n\r\nThe only section that you should change is the graphite config. \r\n- The server and port should be that of your Graphite server.  \r\n- The prefix will be inserted at the start of every metric produced by snap. For this dashboard the prefix is expected to be in the format \"snap.<environment>.<host>\" , where <environment> is something like \"dev\", \"qa\" or \"prod\" and <host> is the hostname of the Kubernetes node.  When using the **snap_k8s** docker image the literal string \"<%NODE%>\" can be used in the prefix and it will be replaced with the slugified representation of the hostname that the container is running on.  So if the hostname was \"k8s-node1.dev.raintank.io\" <%NODE%> would be replaced with \"k8s-node1_dev_raintank_io\".\r\n\r\n\r\nSimply write the kubernetes DaemonSet and ConfigMap to a file name **snap_ds.yaml**, then run\r\n```\r\nkubectl create -f snap_ds.yaml\r\n```","collectorType":"Snap","collectorConfig":"","collectorPluginList":"CPU, Docker, Interface, Load, Meminfo, IOstat","datasource":"Graphite","privacy":"public","createdAt":"2016-09-20T14:30:29.000Z","updatedAt":"2016-09-20T15:34:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/470"},{"rel":"revisions","href":"/dashboards/470/revisions"},{"rel":"revision","href":"/dashboards/470/revisions/1"},{"rel":"download","href":"/dashboards/470/revisions/1/download"},{"rel":"org","href":"/orgs/awoods"},{"rel":"images","href":"/dashboards/470/images"},{"rel":"thumbnails","href":"/dashboards/470/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":10182,"status":1,"statusCode":"active","orgId":251088,"orgSlug":"kesslerdev","orgName":"kesslerdev","slug":"kubernetes-node-monitoring","downloads":3968,"revisionId":19697,"revision":6,"name":"Kubernetes Node Monitoring","description":"This dashboard provides cluster admins with the ability to monitor nodes and identify tenant workload bottlenecks. It has been curated from other monitoring dashboards and the helm charts will add PSPs to Prometheus Grafana to make it compatible with all versions of Pivotal Container Services. 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Deploying WordPress in Cloud Native with Kubernetes\r\nExample of deploying to the Cloud Native of various cloud(ncloud, aws, etc.) based on [Example: Deploying WordPress and MySQL with Persistent Volumes](https://kubernetes.io/docs/tutorials/stateful-application/mysql-wordpress-persistent-volume/)\r\n- [JMSIGHT WordPress Example](https://em8g.com/landing/documents/example)\r\n### 2. Open Source Kubernetes Monitoring\r\nComplete Guide to build Kubernetes Monitoring with open sources (Grafana + Elasticsearch + Metricbeat)\r\n- [Open Source Kubernetes Monitoring - Grafana + Elasticsearch + Metricbeat](https://em8g.com/landing/documents/open-source-kubernetes-monitoring)\r\n### 3. 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PM\n\n**本次更新内容如下**\n\n1、修正以Pod单位监控粒度（CPU/MEM/DISK/IOPS等指标）\n\n2、新增磁盘IO等待耗时Dashboard\n\n## November 13th 2021, 8:03 PM\n\n本次更新，修改了 Pod CPU使用率的表格式\nsum(irate(container_cpu_usage_seconds_total{container=\"$Container\",instance=\"$Node\",pod=\"$Pod\"}[5m])*100)by(pod) / sum(kube_pod_container_resource_limits_cpu_cores{container=\"$Container\",node=\"$Node\",pod=\"$Pod\"})by(pod)","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"cpu, diskstats, meminfo, 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status","description":"k8s的重启和pod状态","readme":"k8s的重启和pod状态\r\n```\r\n(sum(kube_pod_container_status_waiting_reason{reason!=\"ContainerCreating\",namespace=~\"$namespace\",pod=~\"$pod\"} ) by (reason,namespace,pod) >0) \r\n*on(pod) group_right(reason) sum(kube_pod_info) by (pod,node,host_ip,pod_ip,namespace) \r\nor\r\n(sum(kube_pod_container_status_waiting_reason{reason=\"ContainerCreating\",namespace=~\"$namespace\",pod=~\"$pod\"} ) by (reason,namespace,pod) >0) \r\n-on(pod) group_right(reason) sum(kube_pod_info) by (pod,node,host_ip,pod_ip,namespace) \r\n```\r\nand \r\n```\r\n(sum(kube_pod_container_status_restarts_total{namespace=~\"$namespace\",pod=~\"$pod\"}) by(namespace,pod) *on(pod) group_right() sum(kube_pod_info) by (pod,node,host_ip,pod_ip,namespace) \r\n-sum(kube_pod_container_status_restarts_total{namespace=~\"$namespace\",pod=~\"$pod\"} offset 5m) by(namespace,pod) *on(pod) group_right() sum(kube_pod_info) by 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https://github.com/kubernetes/charts/tree/master/stable/prometheus A default node exporter will also likely function.\r\n\r\nDashboard sources - https://github.com/sstarcher/grafana-dashboards\r\n","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-07-08T11:42:41.000Z","updatedAt":"2024-04-03T12:47:01.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14699"},{"rel":"revisions","href":"/dashboards/14699/revisions"},{"rel":"revision","href":"/dashboards/14699/revisions/2"},{"rel":"download","href":"/dashboards/14699/revisions/2/download"},{"rel":"org","href":"/orgs/kgibbs"},{"rel":"images","href":"/dashboards/14699/images"},{"rel":"thumbnails","href":"/dashboards/14699/thumbnails"}]},{"id":16733,"status":1,"statusCode":"active","orgId":191871,"orgSlug":"jamy","orgName":"infogem","slug":"kubernetes-ram-utilization-workload","downloads":269,"revisionId":25658,"revision":1,"name":"Kubernetes Test RAM Utilization","description":"Kubernetes","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-08-18T14:15:26.000Z","updatedAt":"2022-09-07T01:08:47.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16733"},{"rel":"revisions","href":"/dashboards/16733/revisions"},{"rel":"revision","href":"/dashboards/16733/revisions/1"},{"rel":"download","href":"/dashboards/16733/revisions/1/download"},{"rel":"org","href":"/orgs/jamy"},{"rel":"images","href":"/dashboards/16733/images"},{"rel":"thumbnails","href":"/dashboards/16733/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25330,"status":1,"statusCode":"active","orgId":1785388,"orgSlug":"gustavojst","orgName":"gustavojst","slug":"kubernetes-traefik-ingress-nextgen","downloads":0,"revisionId":40848,"revision":1,"name":"Kubernetes Traefik Ingress NextGen on Prometheus","description":"Traefik Ingress Controller via Prometheus Metrics dashboard @ https://github.com/GustavoJST/kubernetes-traefik-ingress-nextgen","readme":"# Kubernetes Traefik Ingress NextGen\r\n\r\n[![Grafana](https://img.shields.io/badge/Grafana-12.4.2-%23F46800)](https://grafana.com)\r\n[![Traefik](https://img.shields.io/badge/Traefik-Ingress-%23EE3D3D)](https://traefik.io)\r\n\r\nA Grafana dashboard for monitoring **Traefik Ingress Controller** via Prometheus metrics, created based on the [Kubernetes Nginx Ingress Prometheus NextGen Dashboard](https://github.com/DevOps-Nirvana/Grafana-Dashboards/tree/main) ([Grafana Link](https://grafana.com/grafana/dashboards/14314-kubernetes-nginx-ingress-controller-nextgen-devops-nirvana/)) by **DevOps-Nirvana**.\r\n\r\n![Dashboard Screenshot 1](https://raw.githubusercontent.com/GustavoJST/kubernetes-traefik-ingress-nextgen/refs/heads/main/assets/kubernetes-traefik-ingress-nextgen-1.png)\r\n![Dashboard Screenshot 2](https://raw.githubusercontent.com/GustavoJST/kubernetes-traefik-ingress-nextgen/refs/heads/main/assets/kubernetes-traefik-ingress-nextgen-2.png)\r\n\r\n## Table of Contents\r\n\r\n- [Requirements](#requirements)\r\n- [Features](#features)\r\n  - [Overview Row (always visible)](#overview-row-always-visible)\r\n  - [Latency (collapsible row)](#latency-collapsible-row)\r\n  - [Connections (collapsible row)](#connections-collapsible-row)\r\n  - [Certificates (collapsible row)](#certificates-collapsible-row)\r\n  - [CPU Intensive / Optional Graphs (collapsible row)](#cpu-intensive--optional-graphs-collapsible-row)\r\n- [Dashboard Variables](#dashboard-variables)\r\n  - [The `scrape_interval` variable](#the-scrape_interval-variable)\r\n- [Filters](#filters)\r\n- [FAQ](#faq)\r\n  - [What about a namespace/ingress/etc filter?](#what-about-a-namespaceingressetc-filter)\r\n  - [My dashboard/filter doesn't work properly](#my-dashboardfilter-doesnt-work-properly)\r\n- [Contributing](#contributing)\r\n- [License](#license)\r\n\r\n\r\n---\r\n\r\n##  Requirements\r\n\r\n1. This dashboard heavily uses `traefik_router_*` metrics and router related labels, which need to be enabled using the `metrics.prometheus.addRoutersLabels` in the Traefik helm chart\r\n\r\n2. Traefik doesn't expose the Host or namespace/name of Kubernetes Ingresses as labels in its metrics ([as explained here](#what-about-a-namespaceingressetc-filter)). In order for the Host filter present in this dashboard to work, we need to inject the `host` label in our metrics, fetching from the `X-Forwarded-For` header. To do this, simply add the configuration below to your Traefik `values.yaml`:\r\n\r\n```yaml\r\nmetrics:\r\n  prometheus:\r\n    headerLabels:\r\n      host: X-Forwarded-Host\r\n```\r\n> **NOTE**: The reason why we use the `X-forwarded-Host` and not the `Host` header can be found [here](https://doc.traefik.io/traefik/reference/install-configuration/observability/metrics/#headerlabels) in the Traefik docs.\r\n\r\n3. For latency panels, the bucket configuration used was the same as the ingress-nginx default configuration, which I recommend you use:\r\n\r\n```yaml\r\nmetrics:\r\n  prometheus:\r\n    buckets: \"0.005,0.01,0.025,0.05,0.1,0.25,0.5,1.0,2.5,5.0,10.0\"\r\n```\r\n\r\n4. As for Grafana versions, this dashboard was created using Grafana **12.4.2**. It should work without a problem on more modern versions, but I can't guarantee it will work on really old versions since I didn't test it.\r\n\r\n\r\n## Features\r\n\r\n### Overview Row (always visible)\r\n\r\n- **Requests Total (period)** — Total number of requests in the selected time range.\r\n- **Reqs (2m)** — Number of HTTP requests in the last 2 minutes (ignores the dashboard time range).\r\n- **% Success (2m)** — Percentage of successful (non-4xx/5xx) requests in the last 2 minutes. 404s are excluded from the denominator to avoid skewing the metric.\r\n- **HTTP 1/2xx (2m)** — Count of successful (1xx and 2xx) responses in the last 2 minutes.\r\n- **HTTP 3xx (2m)** — Count of redirect responses in the last 2 minutes.\r\n- **HTTP 4xx (2m)** — Count of 4xx responses in the last 2 minutes.\r\n- **HTTP 5xx (2m)** — Count of 5xx responses in the last 2 minutes.\r\n- **Request Volume** — Time-series graph showing the request rate (req/s) aggregated across selected routers.\r\n- **Total HTTP Requests** — Bar chart showing the total request count per minute.\r\n- **Request Success Rate** — Time-series graph showing the success rate over time.\r\n- **HTTP Status Codes** — Time-series graph breaking down requests by individual HTTP status code.\r\n\r\n### Latency (collapsible row)\r\n\r\n- **Latency (Percentiles)** — **P50**, **P90**, and **P99** latency.\r\n- **Latency Heatmap** — A heatmap visualization of request latency distribution over time.\r\n\r\n### Connections (collapsible row)\r\n\r\n- **Open Connections (Controller Pod)** — Tracks active open connections on the selected Traefik pods. Note: this metric is pod-level only and does not support per-host/per-router filtering.\r\n\r\n### Certificates (collapsible row)\r\n\r\n- **Certificate Expiry** — A table listing TLS certificate hosts with their TTL (time until expiry in seconds) and expiry date. Rows show green/red thresholds based on the 21-day (1,814,400s) mark, helping you stay ahead of certificate renewals.\r\n\r\n### CPU Intensive / Optional Graphs (collapsible row)\r\n\r\nThese panels are collapsed by default because they query with `by (router)` cardinality, which can be expensive on large clusters (can be filtered down using the filters at the top of the dashboard):\r\n\r\n- **Latency per Router (Percentiles)** — P50/P90/P99 latency broken down per router.\r\n- **Request Success Rate (per Router)** — Success rate split by router.\r\n- **Request Volume (per Router)** — Request rate (req/s) split by router.\r\n\r\n---\r\n\r\n## Dashboard Variables\r\n\r\n| Variable | Description | Values |\r\n|---|---|---|\r\n| `datasource` | Prometheus datasource to query | Any Prometheus datasource |\r\n| `host` | Filter by ingress host | Dynamically populated from `traefik_router_requests_total`; supports multi-select |\r\n| `router` | Filter by Traefik router name | Dynamically populated based on selected `host`; supports multi-select |\r\n| `pod` | Filter by Traefik pod name | Dynamically populated from `traefik_config_last_reload_success`; supports multi-select |\r\n\r\n### The `scrape_interval` variable\r\n\r\nThe `scrape_interval` is a **hidden constant** variable set to `30s` by default. It is used across multiple panels as the **minimal `$__interval`** for Prometheus queries. This ensures that Grafana does not downsample data below the actual Prometheus scrape interval, preventing misleading aggregation when the dashboard time range is very wide. If your Traefik Prometheus scrape interval differs from 30s, update this variable to match your setup.\r\n\r\n---\r\n\r\n## Filters\r\n\r\nUse the dropdowns at the top of the dashboard to filter metrics:\r\n\r\n- **Host** — Select one or more ingress hosts. The router dropdown will automatically reflect only routers associated with the selected host(s).\r\n- **Router** — Select one or more Traefik routers.\r\n- **Traefik Pod** — Select one or more Traefik controller pods.\r\n\r\nSelecting `All` (the default) shows aggregate data across the entire cluster.\r\n\r\n---\r\n\r\n## FAQ\r\n\r\n### What about a namespace/ingress/etc filter?\r\n\r\nBecause Traefik is agnostic, its metrics only have labels related to Traefik internal components, like routers, entrypoints and services (in the format `[namespace]-[service-name]@kubernetes`). Because of that, it's currently not possible to have such filters (unless the Traefik team adds these labels to the metrics)\r\n\r\nHere's some examples of labels available by Traefik metrics:\r\n\r\n```json\r\ntraefik_router_requests_total{code=\"200\",container=\"traefik\",endpoint=\"metrics\",exported_service=\"monitoring-kube-prometheus-stack-grafana-80@kubernetes\",instance=\"10.100.117.95:9100\",job=\"traefik-metrics\",method=\"GET\",namespace=\"traefik\",pod=\"traefik-b55586d97-xwqrv\",protocol=\"http\",router=\"websecure-monitoring-kube-prometheus-stack-grafana-grafana-prod-example-com@kubernetes\",service=\"traefik-metrics\"}\r\n```\r\n\r\nIn the example above, we have a kube-prometheus-stack Grafana instance deployed, with:\r\n\r\nNamespace name:`monitoring`\r\nService name: `kube-prometheus-stack-grafana`\r\nIngress name: `kube-prometheus-stack-grafana`\r\n\r\nHowever, the format used by Traefik to expose this information makes it difficult to parse and extract, as there is no way to determine whether a dash separates the Namespace and Service names or is part of the Namespace, Service, or Ingress name, since these names may themselves contain dashes.\r\n\r\n### My dashboard/filter doesn't work properly\r\n\r\nMake sure you've followed the steps present in the [requirements](#requirements) section. If it still doesn't work, you can [open an issue](https://github.com/GustavoJST/kubernetes-traefik-ingress-nextgen/issues/new).\r\n\r\n## Contributing\r\n\r\nIf you spot an issue, incorrect PromQL query, or something that could be improved, please [open an issue](https://github.com/GustavoJST/kubernetes-traefik-ingress-nextgen/issues/new) to report it.\r\n\r\nPull requests are always welcome! Whether you're fixing a bug, adding a new panel, or improving an existing query, feel free to submit a PR.\r\n\r\n---\r\n\r\n## License\r\n\r\nThis dashboard is provided as-is under the [MIT License](https://github.com/GustavoJST/kubernetes-traefik-ingress-nextgen/blob/main/LICENSE).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-05-23T20:50:48.000Z","updatedAt":"2026-05-24T16:06:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25330"},{"rel":"revisions","href":"/dashboards/25330/revisions"},{"rel":"revision","href":"/dashboards/25330/revisions/1"},{"rel":"download","href":"/dashboards/25330/revisions/1/download"},{"rel":"org","href":"/orgs/gustavojst"},{"rel":"images","href":"/dashboards/25330/images"},{"rel":"thumbnails","href":"/dashboards/25330/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3816,"status":1,"statusCode":"active","orgId":100830,"orgSlug":"kvitajakub","orgName":"Jakub Kvita","slug":"kubernetes-web-app-metrics","downloads":1821,"revisionId":5289,"revision":3,"name":"Kubernetes Web App metrics","description":"Monitor web applications through cAdvisor and Prometheus client_ruby.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-11-22T10:57:07.000Z","updatedAt":"2017-11-30T13:31:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3816"},{"rel":"revisions","href":"/dashboards/3816/revisions"},{"rel":"revision","href":"/dashboards/3816/revisions/3"},{"rel":"download","href":"/dashboards/3816/revisions/3/download"},{"rel":"org","href":"/orgs/kvitajakub"},{"rel":"images","href":"/dashboards/3816/images"},{"rel":"thumbnails","href":"/dashboards/3816/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":938,"status":1,"statusCode":"active","orgId":36263,"orgSlug":"sergeygalkin","orgName":"sergeygalkin","slug":"kubernetes-statistics","downloads":466,"revisionId":1352,"revision":1,"name":"Kubernetes with  Open Stack statistsics","description":"Kubernetes statistics for Open Stack","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-11-22T15:40:03.000Z","updatedAt":"2016-11-22T15:42:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/938"},{"rel":"revisions","href":"/dashboards/938/revisions"},{"rel":"revision","href":"/dashboards/938/revisions/1"},{"rel":"download","href":"/dashboards/938/revisions/1/download"},{"rel":"org","href":"/orgs/sergeygalkin"},{"rel":"images","href":"/dashboards/938/images"},{"rel":"thumbnails","href":"/dashboards/938/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16760,"status":1,"statusCode":"active","orgId":692266,"orgSlug":"nadavbuc","orgName":"nadavbuc","slug":"kubernetes-workload","downloads":378,"revisionId":25700,"revision":1,"name":"Kubernetes Workload","description":"An extensive Kubernetes Workload Dashboard based on existing recording rules","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite, Prometheus","privacy":"public","createdAt":"2022-08-23T06:22:04.000Z","updatedAt":"2022-08-23T06:22:55.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16760"},{"rel":"revisions","href":"/dashboards/16760/revisions"},{"rel":"revision","href":"/dashboards/16760/revisions/1"},{"rel":"download","href":"/dashboards/16760/revisions/1/download"},{"rel":"org","href":"/orgs/nadavbuc"},{"rel":"images","href":"/dashboards/16760/images"},{"rel":"thumbnails","href":"/dashboards/16760/thumbnails"}],"datasourceSlugs":["graphite","prometheus"]},{"id":20372,"status":1,"statusCode":"active","orgId":881211,"orgSlug":"ridwanbejo","orgName":"ridwanbejo","slug":"kubernetes-workloads-cpu-and-memory-metrics","downloads":12703,"revisionId":34123,"revision":3,"name":"Kubernetes Workloads CPU and Memory Metrics","description":"Simple dashboard for observing your Kubernetes Deployment CPU and Memory usage.","readme":"\r\nSimple dashboard for observing your Kubernetes Deployment CPU and Memory usage based on Kube State Metrics for Deployment only.\r\n\r\n## Requirements\r\n\r\n- Prometheus\r\n- Kube State Metrics\r\n- Kubernetes cAdvisor\r\n\r\n## Built-in features\r\n\r\n- filters: you could filters your Deployment based on namespace, deployment and pods\r\n- summary rows: you could see CPU and memory usage per deployment. It's aggregated by sum from all pods CPU and memory usage within the deployment. You can see also the CPU and memory request / limit config on this panel\r\n- pods resource usage rows: you could see repeatable rows based on num of pods which available on the deployment. 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pod\r\n          - source_labels: [__meta_kubernetes_pod_node_name]\r\n            target_label: node\r\n          - source_labels: [__meta_kubernetes_endpoint_port_name]\r\n            action: keep\r\n            regex: ^metrics$\r\n          - source_labels: [__address__, __meta_kubernetes_endpoint_port_number]\r\n            action: replace\r\n            regex: ([^:]+)(?::\\d+)?\r\n            replacement: $1:49100\r\n            target_label: __address__\r\n          - action: labelmap\r\n            regex: __meta_kubernetes_service_label_(.+)\r\n```\r\n\r\n\r\n## Available metrics\r\n\r\n| Name | Type | Description | \r\n| --- | --- | --- | \r\n| kubeshark_received_packets_total | Counter | Total number of packets received | \r\n| kubeshark_dropped_packets_total | Counter | Total number of packets dropped | \r\n| kubeshark_processed_bytes_total | Counter | Total number of bytes processed |\r\n| kubeshark_tcp_packets_total | Counter | Total number of TCP packets | \r\n| kubeshark_dns_packets_total | Counter | Total number of DNS packets | \r\n| kubeshark_icmp_packets_total | Counter | Total number of ICMP packets | \r\n| kubeshark_reassembled_tcp_payloads_total | Counter | Total number of reassembled TCP payloads |\r\n| kubeshark_matched_pairs_total | Counter | Total number of matched pairs | \r\n| kubeshark_dropped_tcp_streams_total | Counter | Total number of dropped TCP streams | \r\n| kubeshark_live_tcp_streams | Gauge | Number of live TCP streams |\r\n| kubeshark_tls_packet_count_total | Gauge | Total number of received TLS packets |\r\n| kubeshark_tls_packet_dropped_total | Gauge | Total number of dropped TLS packets |\r\n## Summary\r\nThis dashboard provides a holistic view of Kubeshark resource consumption, in addition to custom metrics that offer insights into what Kubeshark is doing internally 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System","description":"KubeVela System Overview","readme":"![kubevela](https://raw.githubusercontent.com/kubevela/kubevela.io/main/docs/resources/KubeVela-03.png)\r\n\r\n![Build status](https://github.com/kubevela/kubevela/workflows/Go/badge.svg)\r\n[![Go Report Card](https://goreportcard.com/badge/github.com/kubevela/kubevela)](https://goreportcard.com/report/github.com/kubevela/kubevela)\r\n![Docker Pulls](https://img.shields.io/docker/pulls/oamdev/vela-core)\r\n[![codecov](https://codecov.io/gh/kubevela/kubevela/branch/master/graph/badge.svg)](https://codecov.io/gh/kubevela/kubevela)\r\n[![LICENSE](https://img.shields.io/github/license/kubevela/kubevela.svg?style=flat-square)](/LICENSE)\r\n[![Releases](https://img.shields.io/github/release/kubevela/kubevela/all.svg?style=flat-square)](https://github.com/kubevela/kubevela/releases)\r\n[![TODOs](https://img.shields.io/endpoint?url=https://api.tickgit.com/badge?repo=github.com/kubevela/kubevela)](https://www.tickgit.com/browse?repo=github.com/kubevela/kubevela)\r\n[![Twitter](https://img.shields.io/twitter/url?style=social&url=https%3A%2F%2Ftwitter.com%2Foam_dev)](https://twitter.com/oam_dev)\r\n[![Artifact HUB](https://img.shields.io/endpoint?url=https://artifacthub.io/badge/repository/kubevela)](https://artifacthub.io/packages/search?repo=kubevela)\r\n[![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/4602/badge)](https://bestpractices.coreinfrastructure.org/projects/4602)\r\n![E2E status](https://github.com/kubevela/kubevela/workflows/E2E%20Test/badge.svg)\r\n[![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/kubevela/kubevela/badge)](https://api.securityscorecards.dev/projects/github.com/kubevela/kubevela)\r\n[![](https://img.shields.io/badge/KubeVela-Check%20Your%20Contribution-orange)](https://opensource.alibaba.com/contribution_leaderboard/details?projectValue=kubevela)\r\n\r\n## Introduction\r\n\r\nKubeVela is a modern application delivery platform that makes deploying and operating applications across today's hybrid, multi-cloud environments easier, faster and more reliable.\r\n\r\n![kubevela](https://github.com/kubevela/kubevela/raw/master/docs/resources/what-is-kubevela.png)\r\n\r\n## Highlights\r\n\r\nKubeVela practices the \"render, orchestrate, deploy\" workflow with below highlighted values added to existing ecosystem:\r\n\r\n#### **Deployment as Code**\r\n\r\nDeclare your deployment plan as workflow, run it automatically with any CI/CD or GitOps system, extend or re-program the workflow steps with [CUE](https://cuelang.org/).\r\nNo ad-hoc scripts, no dirty glue code, just deploy. The deployment workflow in KubeVela is powered by [Open Application Model](https://oam.dev/).\r\n\r\n#### **Built-in observability, multi-tenancy and security support**\r\n\r\nChoose from the wide range of LDAP integrations we provided out-of-box, enjoy enhanced [multi-tenancy and multi-cluster authorization and authentication](https://kubevela.net/docs/platform-engineers/auth/advance),\r\npick and apply fine-grained RBAC modules and customize them per your own supply chain requirements.\r\nAll delivery process has fully [automated observability dashboards](https://kubevela.net/docs/platform-engineers/operations/observability).\r\n\r\n#### **Multi-cloud/hybrid-environments app delivery as first-class citizen**\r\n\r\nNatively supports multi-cluster/hybrid-cloud scenarios such as progressive rollout across test/staging/production environments,\r\nautomatic canary, blue-green and continuous verification, rich placement strategy across clusters and clouds,\r\nalong with automated cloud environments provision.\r\n\r\n#### **Lightweight but highly extensible architecture**\r\n\r\nMinimize your control plane deployment with only one pod and 0.5c1g resources to handle thousands of application delivery.\r\nGlue and orchestrate all your infrastructure capabilities as reusable modules with a highly extensible architecture\r\nand share the large growing community [addons](https://kubevela.net/docs/reference/addons/overview).\r\n\r\n## Getting Started\r\n\r\n* [Introduction](https://kubevela.io/docs)\r\n* [Installation](https://kubevela.io/docs/install)\r\n* [Deploy Your Application](https://kubevela.io/docs/quick-start)\r\n\r\n## Documentation\r\n\r\nFull documentation is available on the [KubeVela website](https://kubevela.io/).\r\n\r\n## Blog\r\n\r\nOfficial blog is available on [KubeVela blog](https://kubevela.io/blog).\r\n\r\n## Community\r\n\r\nWe want your contributions and suggestions!\r\nOne of the easiest ways to contribute is to participate in discussions on the Github Issues/Discussion, chat on IM or the bi-weekly community calls.\r\nFor more information on the community engagement, developer and contributing guidelines and more, head over to the [KubeVela community repo](https://github.com/kubevela/community).\r\n\r\n### Contact Us\r\n\r\nReach out with any questions you may have and we'll make sure to answer them as soon as possible!\r\n\r\n- Slack:  [CNCF Slack kubevela channel](https://cloud-native.slack.com/archives/C01BLQ3HTJA) (*English*)\r\n- [DingTalk Group](https://page.dingtalk.com/wow/dingtalk/act/en-home): `23310022` (*Chinese*)\r\n- Wechat Group (*Chinese*): Broker wechat to add you into the user group.\r\n \r\n  <img src=\"https://static.kubevela.net/images/barnett-wechat.jpg\" width=\"200\" />\r\n\r\n### Community Call\r\n\r\nEvery two weeks we host a community call to showcase new features, review upcoming milestones, and engage in a Q&A. All are welcome!\r\n\r\n- Bi-weekly Community Call:\r\n  - [Meeting Notes](https://docs.google.com/document/d/1nqdFEyULekyksFHtFvgvFAYE-0AMHKoS3RMnaKsarjs).\r\n  - [Video Records](https://www.youtube.com/channel/UCSCTHhGI5XJ0SEhDHVakPAA/videos).\r\n- Bi-weekly Chinese Community Call:\r\n  - [Video Records](https://space.bilibili.com/180074935/channel/seriesdetail?sid=1842207).\r\n\r\n## Talks and Conferences\r\n\r\nCheck out [KubeVela videos](https://kubevela.io/videos/talks/en/oam-dapr) for these talks and conferences.\r\n\r\n## Contributing\r\n\r\nCheck out [CONTRIBUTING](https://kubevela.io/docs/contributor/overview) to see how to develop with KubeVela.\r\n\r\n## Report Vulnerability\r\n\r\nSecurity is a first priority thing for us at KubeVela. If you come across a related issue, please send email to security@mail.kubevela.io .\r\n\r\n## Code of Conduct\r\n\r\nKubeVela adopts [CNCF Code of Conduct](https://github.com/cncf/foundation/blob/master/code-of-conduct.md).\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"JSON API, Prometheus","privacy":"public","createdAt":"2023-03-01T07:31:29.000Z","updatedAt":"2023-03-01T07:40:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18200"},{"rel":"revisions","href":"/dashboards/18200/revisions"},{"rel":"revision","href":"/dashboards/18200/revisions/1"},{"rel":"download","href":"/dashboards/18200/revisions/1/download"},{"rel":"org","href":"/orgs/somefive"},{"rel":"images","href":"/dashboards/18200/images"},{"rel":"thumbnails","href":"/dashboards/18200/thumbnails"}],"datasourceSlugs":["marcusolsson-json-datasource","prometheus"]},{"id":11748,"status":1,"statusCode":"active","orgId":220412,"orgSlug":"samblade","orgName":"samblade","slug":"kubevirt","downloads":1888,"revisionId":16633,"revision":1,"name":"KubeVirt VM Info","description":"KubeVirt VM Info","readme":"KubeVirt VM Info","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-02-19T06:36:21.000Z","updatedAt":"2020-02-19T06:41:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11748"},{"rel":"revisions","href":"/dashboards/11748/revisions"},{"rel":"revision","href":"/dashboards/11748/revisions/1"},{"rel":"download","href":"/dashboards/11748/revisions/1/download"},{"rel":"org","href":"/orgs/samblade"},{"rel":"images","href":"/dashboards/11748/images"},{"rel":"thumbnails","href":"/dashboards/11748/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15314,"status":1,"statusCode":"active","orgId":569961,"orgSlug":"kubewarden","orgName":"kubewarden","slug":"kubewarden","downloads":623,"revisionId":30834,"revision":2,"name":"Kubewarden","description":"","readme":"This dashboard has some basic graphics to user monitor their Kubewarden stack. It shows how many requests Kubewarden accepted, rejected, or mutated, the rate of each of request, and latency. 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KSMNETWORK\n\nKUSAMA (KSM) Address H1bSKJxoxzxYRCdGQutVqFGeW7xU3AcN6vyEdZBU7Qb1rsZ\n\nOR\n\nPolkaDOT (DOT) Address: 15FxvBFDd3X7H9qcMGqsiuvFYEg4D3mBoTA2LQufreysTHKA","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2021-08-22T23:41:51.000Z","updatedAt":"2021-12-17T15:47:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14901"},{"rel":"revisions","href":"/dashboards/14901/revisions"},{"rel":"revision","href":"/dashboards/14901/revisions/1"},{"rel":"download","href":"/dashboards/14901/revisions/1/download"},{"rel":"org","href":"/orgs/ksmnetwork"},{"rel":"images","href":"/dashboards/14901/images"},{"rel":"thumbnails","href":"/dashboards/14901/thumbnails"}],"datasourceSlugs":["loki"]},{"id":14899,"status":1,"statusCode":"active","orgId":533153,"orgSlug":"ksmnetwork","orgName":"ksmnetwork","slug":"kusama-validator-monitoring-with-grafana-loki-promtail","downloads":358,"revisionId":22200,"revision":1,"name":"Kusama Validator Monitoring With Grafana Loki & Promtail","description":"A basic monitoring based on the Pokkadot log level='info' for the \nMobile Version: https://grafana.com/grafana/dashboards/14901","readme":"based on the level=\"info\" logs by the application. Full installation instructions: https://github.com/TGReaper/kusama-promtail\n\nFor Support && Nominations in KUSAMA NETWORK: Validators Display name. KSMNETWORK\n\nKUSAMA (KSM) Address H1bSKJxoxzxYRCdGQutVqFGeW7xU3AcN6vyEdZBU7Qb1rsZ\n\nOR\n\nPolkaDOT (DOT) Address: 15FxvBFDd3X7H9qcMGqsiuvFYEg4D3mBoTA2LQufreysTHKA","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-08-20T22:18:54.000Z","updatedAt":"2021-12-17T15:47:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14899"},{"rel":"revisions","href":"/dashboards/14899/revisions"},{"rel":"revision","href":"/dashboards/14899/revisions/1"},{"rel":"download","href":"/dashboards/14899/revisions/1/download"},{"rel":"org","href":"/orgs/ksmnetwork"},{"rel":"images","href":"/dashboards/14899/images"},{"rel":"thumbnails","href":"/dashboards/14899/thumbnails"}]},{"id":16421,"status":1,"statusCode":"active","orgId":658125,"orgSlug":"stakeworld","orgName":"stakeworld","slug":"kusama-polkadot-validator-server-overview-stakeworld-2022","downloads":448,"revisionId":25360,"revision":2,"name":"Kusama/polkadot validator/server overview (STAKEWORLD) 2022","description":"Kusama and polkadot validator overview with alerting and node-exporter server statistics, see also https://stakeworld.nl/docs/monitor","readme":"The dashboard gives an overview of substrate (kusama/polkadot) validators with and overview and alerts when there are node problems or getting in the active validator set and also when starting paravalidating. \r\n\r\nIt uses node-exporter to show server statistics, loki & promtail for logs and alertmanager for alerting. \r\n\r\nAll the config files can be found here: https://www.stakeworld.nl/monitoring/ ","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus, Loki","privacy":"public","createdAt":"2022-06-09T12:58:45.000Z","updatedAt":"2022-07-19T04:56:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16421"},{"rel":"revisions","href":"/dashboards/16421/revisions"},{"rel":"revision","href":"/dashboards/16421/revisions/2"},{"rel":"download","href":"/dashboards/16421/revisions/2/download"},{"rel":"org","href":"/orgs/stakeworld"},{"rel":"images","href":"/dashboards/16421/images"},{"rel":"thumbnails","href":"/dashboards/16421/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":23358,"status":1,"statusCode":"active","orgId":1415610,"orgSlug":"luger1990","orgName":"luger1990","slug":"kvdb-redis-kvrocks","downloads":308,"revisionId":37057,"revision":1,"name":"KVDB(Redis/KVRocks)","description":"KVDB Sentinel Exporter is a tool for monitoring Redis Sentinel.","readme":"# KVDB Sentinel Exporter\r\n<p align=\"center\" style=\"text-align:center;\">\r\n   <img alt=\"KVDB Logo\" height=\"200\" src=\"https://github.com/luger1990/kvdb-sentinel-exporter/raw/main/static/images/logo.png\" title=\"KVDB\" width=\"200\"/>\r\n</p>\r\nKVDB Sentinel Exporter is a Python and Flask-based tool for monitoring Redis Sentinel clusters, providing Prometheus metrics and a web interface.\r\n\r\n[中文文档](https://github.com/luger1990/kvdb-sentinel-exporter/blob/main/README_CN.md)\r\n\r\n[Preview](https://kvdb.luger.me/)\r\n\r\n## Features\r\n\r\n- Support for multiple Redis sentinel groups\r\n- Global and master-specific Redis password configuration\r\n- Prometheus metrics endpoint\r\n- User-friendly web interface for Redis node status\r\n- Multi-threaded parallel collection of Redis metrics\r\n- Support for both KVRocks and Redis engines\r\n\r\n## Screenshots\r\n\r\n### Index Page\r\n\r\n![Index Page](https://github.com/luger1990/kvdb-sentinel-exporter/raw/main/docs/images/index.png)\r\n\r\n### Info Page\r\n\r\n![Info Page](https://github.com/luger1990/kvdb-sentinel-exporter/raw/main/docs/images/info.png)\r\n\r\n### Grafana Metrics Page\r\n\r\n![Grafana Metrics Page](https://github.com/luger1990/kvdb-sentinel-exporter/raw/main/docs/images/grafana.png)\r\n\r\n\r\n## Installation\r\n\r\n### Requirements\r\n\r\n- Python 3.9+\r\n- Redis 5.0+\r\n- Flask 2.3+\r\n- Prometheus Client\r\n\r\n### From Source\r\n\r\n```bash\r\n# Clone repository\r\ngit clone https://github.com/luger1990/kvdb-sentinel-exporter.git\r\ncd kvdb-sentinel-exporter\r\n\r\n# Install dependencies\r\npip install -r requirements.txt\r\n\r\n# Configure\r\ncp .env.example .env\r\ncp config.yaml config.local.yaml  # Modify configuration as needed\r\n```\r\n\r\n### Using Docker\r\n\r\n```bash\r\n# Use pre-built image\r\ndocker pull luger1990/kvdb-sentinel-exporter\r\n\r\n# Or build from Dockerfile\r\ndocker build -t kvdb-sentinel-exporter .\r\n\r\n# Run container\r\ndocker run -dit \\\r\n  -p 16379:16379 \\\r\n  --name=kvdb-sentinel-exporter \\\r\n  -v $(pwd)/config.yaml:/app/config.yaml \\\r\n  luger1990/kvdb-sentinel-exporter\r\n  \r\n# Environment variables supported by Docker\r\ndocker run -dit \\\r\n  -p 16379:16379 \\\r\n  --name=kvdb-sentinel-exporter \\\r\n  -e DEBUG=true \\\r\n  -e HOST=127.0.0.1 \\\r\n  -e PORT=6379 \\\r\n  -e CONFIG_PATH=/app/config/config.yaml \\\r\n  -v $(pwd)/config.yaml:/app/config.yaml \\\r\n  luger1990/kvdb-sentinel-exporter\r\n\r\n# It is recommended to run in Docker Host mode\r\ndocker run -dit \\\r\n  --net=host \\\r\n  --name=kvdb-sentinel-exporter \\\r\n  -e DEBUG=false \\\r\n  -v $(pwd)/config.yaml:/app/config.yaml \\\r\n  luger1990/kvdb-sentinel-exporter\r\n```\r\n\r\n## Configuration\r\n\r\nConfiguration uses YAML format, with the default path being `config.yaml`. You can customize the config file path using the `CONFIG_PATH` environment variable.\r\n\r\n### Configuration Example\r\n\r\n```yaml\r\n# KVDB Sentinel Exporter 配置文件\r\n\r\n# Redis哨兵配置\r\nsentinels:\r\n  # 第一个哨兵组\r\n  redis-group-1:\r\n    # 本组Redis默认密码（可选，当master没有单独指定密码时使用此密码）\r\n    default_password: \"ce67a0a422243742573ac12024c39f82\"\r\n    sentinel_hosts:\r\n      - \"127.0.0.1:26379\"\r\n      - \"127.0.0.1:26380\"\r\n      - \"127.0.0.1:26391\"\r\n    # 为特定master_name指定密码配置（会覆盖默认密码）\r\n    master_groups:\r\n      # 示例：为特定master_name设置专用密码\r\n      kvrocks-group-1:\r\n        password: \"cfc44dfc4f1a3f36400740680fd8c30c\"\r\n      # 注意：未在此处列出的master_name将使用default_password\r\n  \r\n  # 第二个哨兵组\r\n  redis-group-2:\r\n    # 本组Redis默认密码（可选）\r\n    default_password: \"\"\r\n    sentinel_hosts:\r\n      - \"127.0.0.1:16379\"\r\n      - \"127.0.0.1:16380\"\r\n      - \"127.0.0.1:16391\"\r\n\r\n# 指标收集配置\r\nmetrics:\r\n  # 收集线程池大小\r\n  thread_pool_size: 10\r\n  # 连接超时时间（秒）\r\n  connect_timeout: 3\r\n  # 读取超时时间（秒）\r\n  read_timeout: 5\r\n\r\n# Web UI配置\r\nweb_ui:\r\n  # 刷新间隔（秒）\r\n  refresh_interval: 30 \r\n```\r\n\r\n### Environment Variables\r\n\r\nConfiguration can be set via `.env` file or environment variables:\r\n\r\n- `DEBUG`: Enable debug mode (default: false)\r\n- `HOST`: Listen address (default: 0.0.0.0)\r\n- `PORT`: Listen port (default: 16379)\r\n- `CONFIG_PATH`: Config file path (default: config.yaml)\r\n\r\n## Usage\r\n\r\n### Starting the Service\r\n\r\n```bash\r\n# Run directly\r\npython run.py\r\n\r\n# Specify config file\r\npython run.py /path/to/config.yaml\r\n\r\n# Use environment variable for config\r\nCONFIG_PATH=/path/to/config.yaml python run.py\r\n```\r\n\r\n### Accessing the Web Interface\r\n\r\nVisit `http://localhost:16379/` to view the sentinel group list\r\n\r\nVisit `http://localhost:16379/<sentinel_name>/info` to view the Redis node status for a specific sentinel group\r\n\r\n### Prometheus Metrics\r\n\r\nPrometheus metrics endpoint: `http://localhost:16379/<sentinel_name>/metrics`\r\n\r\nKey metrics include:\r\n\r\n- `kvdb_up`: Redis instance online status\r\n- `kvdb_role`: Redis node role\r\n- `kvdb_memory_used_bytes`: Redis memory usage\r\n- `kvdb_connected_clients`: Number of client connections\r\n- `kvdb_commands_processed_total`: Total processed commands\r\n- `kvdb_instantaneous_ops_per_sec`: Operations per second\r\n- `kvdb_engine_type`: Engine type (Redis/KVRocks)\r\n\r\n## Prometheus Configuration Example\r\n\r\n```yaml\r\nscrape_configs:\r\n  - job_name: 'redis_sentinel'\r\n    scrape_interval: 15s\r\n    static_configs:\r\n      - targets: ['localhost:16379']\r\n    metrics_path: '/nct-redis-sentinel/metrics'\r\n```\r\n\r\n## Development Mode and Hot Reload\r\n\r\nFor improved development efficiency, this project supports hot reloading, which automatically restarts the server when code or templates are modified.\r\n\r\n### Setting Up Development Environment\r\n\r\n1. Install development dependencies\r\n   ```bash\r\n   pip install -r requirements.txt\r\n   ```\r\n\r\n2. Create development environment configuration file\r\n   ```bash\r\n   cp .env.example .env\r\n   ```\r\n\r\n3. Edit the `.env` file to enable debug mode\r\n   ```\r\n   DEBUG=true\r\n   ```\r\n\r\n4. 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Compatible with https://github.com/vntrungld/prometheus-exporter-horizon-collector","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-10T03:16:47.000Z","updatedAt":"2026-04-10T03:32:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25147"},{"rel":"revisions","href":"/dashboards/25147/revisions"},{"rel":"revision","href":"/dashboards/25147/revisions/1"},{"rel":"download","href":"/dashboards/25147/revisions/1/download"},{"rel":"org","href":"/orgs/vntrungld"},{"rel":"images","href":"/dashboards/25147/images"},{"rel":"thumbnails","href":"/dashboards/25147/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13320,"status":1,"statusCode":"active","orgId":432425,"orgSlug":"devtron","orgName":"Devtron Labs","slug":"latency","downloads":71198,"revisionId":23226,"revision":4,"name":"latency","description":"This Graph shows latency of apps on Devtron dashboard.\n\nhttps://www.devtron.ai","readme":"This is a part of Devtron config. \nThis Graph shows latency of apps on Devtron dashboard..\n\nhttps://www.devtron.ai","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-02T09:01:55.000Z","updatedAt":"2021-12-17T12:38:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13320"},{"rel":"revisions","href":"/dashboards/13320/revisions"},{"rel":"revision","href":"/dashboards/13320/revisions/4"},{"rel":"download","href":"/dashboards/13320/revisions/4/download"},{"rel":"org","href":"/orgs/devtron"},{"rel":"images","href":"/dashboards/13320/images"},{"rel":"thumbnails","href":"/dashboards/13320/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16118,"status":1,"statusCode":"active","orgId":193429,"orgSlug":"aerospike","orgName":"Aerospike","slug":"latency-view","downloads":2394,"revisionId":38175,"revision":4,"name":"Latency View","description":"Latency View dashboard helps visualise latencies as number of queries in each bucket as heatmap in various operations like read, write, batch-index, - support microsecond, millisecond and micro-benchmarks","readme":"Latency View dashboard for [Aerospike Monitoring Stack](https://docs.aerospike.com/monitorstack)\r\n\r\nAerospike's Monitoring Stack extracts operational metrics from Aerospike database clusters for visualization and analysis in Prometheus and Grafana.\r\n\r\nSee [Aerospike Monitoring Stack Architecture](https://docs.aerospike.com/monitorstack/new/components-of-monitoring-stack) and [Aerospike Monitoring Stack Installation](https://docs.aerospike.com/monitorstack/new/installing-components) for more details","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-04-17T09:52:09.000Z","updatedAt":"2025-08-25T04:29:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16118"},{"rel":"revisions","href":"/dashboards/16118/revisions"},{"rel":"revision","href":"/dashboards/16118/revisions/4"},{"rel":"download","href":"/dashboards/16118/revisions/4/download"},{"rel":"org","href":"/orgs/aerospike"},{"rel":"images","href":"/dashboards/16118/images"},{"rel":"thumbnails","href":"/dashboards/16118/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2988,"status":1,"statusCode":"active","orgId":47564,"orgSlug":"fish","orgName":"fish","slug":"latency-at-baseline-all","downloads":1176,"revisionId":4447,"revision":3,"name":"Latency.at: Baseline All","description":"","readme":"See https://demo.latency.at/dashboard/db/http-duration-site-per-region for live demo.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-08-18T14:25:52.000Z","updatedAt":"2017-09-14T13:48:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2988"},{"rel":"revisions","href":"/dashboards/2988/revisions"},{"rel":"revision","href":"/dashboards/2988/revisions/3"},{"rel":"download","href":"/dashboards/2988/revisions/3/download"},{"rel":"org","href":"/orgs/fish"},{"rel":"images","href":"/dashboards/2988/images"},{"rel":"thumbnails","href":"/dashboards/2988/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22476,"status":1,"statusCode":"active","orgId":446555,"orgSlug":"test84codes","orgName":"84codes","slug":"lavinmq","downloads":311,"revisionId":39376,"revision":3,"name":"LavinMQ","description":"LavinMQ overview dashboard based on /metrics endpoint","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-12-04T15:39:33.000Z","updatedAt":"2025-12-19T14:03:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22476"},{"rel":"revisions","href":"/dashboards/22476/revisions"},{"rel":"revision","href":"/dashboards/22476/revisions/3"},{"rel":"download","href":"/dashboards/22476/revisions/3/download"},{"rel":"org","href":"/orgs/test84codes"},{"rel":"images","href":"/dashboards/22476/images"},{"rel":"thumbnails","href":"/dashboards/22476/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10590,"status":1,"statusCode":"active","orgId":267110,"orgSlug":"falon","orgName":"Marco","slug":"ldap-db-monitor","downloads":391,"revisionId":21624,"revision":2,"name":"LDAP DB monitor","description":"Monitor your db suffixes!","readme":"You want to monitor the 389 Directory Server DBs activity and load. Please download and compile the ds389 input plugin, now in beta version at [Github](https://github.com/influxdata/telegraf/pull/6117).\r\n\r\n   - Create your telegraf config file, with many LDAP instances tags as your need.\r\n   - Test the plugin to ensure you are collecting the data as explained in the plugin README\r\n   - Then install this dashboard and enjoy!\r\n\r\nPS: the alert section still has to improve.\r\n\r\nThe plugin is still waiting to be added to Telegraf. Meanwhile you can add it as external [here](https://github.com/falon/CSI-telegraf-plugins).","collectorType":"Telegraf","collectorConfig":"```\r\n# 389 Directory Server cn=Monitor plugin\r\n[[inputs.ds389]]\r\n  host = \"localhost\"\r\n  port = 389\r\n\r\n  # ldaps, starttls, or no encryption. default is an empty string, disabling all encryption.\r\n  # note that port will likely need to be changed to 636 for ldaps\r\n  # valid options: \"\" | \"starttls\" | \"ldaps\"\r\n  #protocol = \"\"\r\n\r\n  # skip peer certificate verification. Default is false.\r\n  insecure_skip_verify = false\r\n\r\n  # Path to PEM-encoded Root certificate to use to verify server certificate\r\n  tls_ca = \"/etc/ssl/certs.pem\"\r\n\r\n  # dn/password to bind with. If bind_dn is empty, an anonymous bind is performed.\r\n  bindDn = \"\"\r\n  bindPassword = \"\"\r\n  \r\n  ## Gather dbname to monitor\r\n  # Comma separated list of db filename\r\n  # dbtomonitor = [\"exampleDB\"]\r\n  # If true, alldbmonitor monitors all db and overrides \"dbtomonitor\".\r\n  alldbmonitor = false\r\n\r\n  # Connections status monitor\r\n  status = false\r\n\r\n  [inputs.ds389.tags]\r\n    instance = \"instance-name\"\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-07-23T08:43:37.000Z","updatedAt":"2022-04-22T07:38:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10590"},{"rel":"revisions","href":"/dashboards/10590/revisions"},{"rel":"revision","href":"/dashboards/10590/revisions/2"},{"rel":"download","href":"/dashboards/10590/revisions/2/download"},{"rel":"org","href":"/orgs/falon"},{"rel":"images","href":"/dashboards/10590/images"},{"rel":"thumbnails","href":"/dashboards/10590/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10587,"status":1,"statusCode":"active","orgId":267110,"orgSlug":"falon","orgName":"Marco","slug":"ldap-org","downloads":647,"revisionId":21171,"revision":2,"name":"LDAP Monitor","description":"Monitor your 389 Directory Server","readme":"You want to monitor the 389 Directory Server.\r\nPlease download and compile the ds389 input plugin, now in beta version at [Github](https://github.com/influxdata/telegraf/pull/6117).\r\n\r\n- Create your telegraf config file, with many LDAP instances as your need.\r\n- Test the plugin to ensure you are collecting the data as explained in the plugin README\r\n- Then install this dashboard and enjoy!\r\n\r\nPS: the alert section still has to improve\r\n\r\nThe plugin is still waiting to be added to Telegraf. Meanwhile you can add it as external [here](https://github.com/falon/CSI-telegraf-plugins)","collectorType":"Telegraf","collectorConfig":"```\r\n# 389 Directory Server cn=Monitor plugin\r\n[[inputs.ds389]]\r\n  host = \"localhost\"\r\n  port = 389\r\n\r\n  # ldaps, starttls, or no encryption. default is an empty string, disabling all encryption.\r\n  # note that port will likely need to be changed to 636 for ldaps\r\n  # valid options: \"\" | \"starttls\" | \"ldaps\"\r\n  #protocol = \"\"\r\n\r\n  # skip peer certificate verification. Default is false.\r\n  insecure_skip_verify = false\r\n\r\n  # Path to PEM-encoded Root certificate to use to verify server certificate\r\n  tls_ca = \"/etc/ssl/certs.pem\"\r\n\r\n  # dn/password to bind with. If bind_dn is empty, an anonymous bind is performed.\r\n  bindDn = \"\"\r\n  bindPassword = \"\"\r\n  \r\n  ## Gather dbname to monitor\r\n  # Comma separated list of db filename\r\n  # dbtomonitor = [\"exampleDB\"]\r\n  # If true, alldbmonitor monitors all db and overrides \"dbtomonitor\".\r\n  alldbmonitor = false\r\n\r\n  # Connections status monitor\r\n  status = false\r\n\r\n  [inputs.ds389.tags]\r\n    instance = \"instance-name\"\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-07-23T07:56:59.000Z","updatedAt":"2022-04-22T07:39:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10587"},{"rel":"revisions","href":"/dashboards/10587/revisions"},{"rel":"revision","href":"/dashboards/10587/revisions/2"},{"rel":"download","href":"/dashboards/10587/revisions/2/download"},{"rel":"org","href":"/orgs/falon"},{"rel":"images","href":"/dashboards/10587/images"},{"rel":"thumbnails","href":"/dashboards/10587/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10591,"status":1,"statusCode":"active","orgId":267110,"orgSlug":"falon","orgName":"Marco","slug":"ldap-org","downloads":377,"revisionId":21623,"revision":2,"name":"LDAP Org","description":"Monitor your LDAP trees","readme":"You want to monitor the number of entries on your LDAP trees.\r\nPlease download and compile the **ldap_org**  *external* input plugin, which you can find [here](https://github.com/falon/CSI-telegraf-plugins).\r\n\r\n- Create your telegraf config file, with many LDAP instances as your need.\r\n- Test the plugin to ensure you are collecting the data as explained in the plugin README\r\n- Then install this dashboard and enjoy!\r\n\r\nTested with 389 Directory Server, but any LDAP server should work.","collectorType":"Telegraf","collectorConfig":"```\r\n# LDAP Count by Org plugin\r\n[[inputs.ldap_org]]\r\n  # LDAP Host and post to query\r\n  host = \"localhost\"\r\n  port = 389\r\n\r\n  # ldaps, starttls, or no encryption. default is an empty string, disabling all encryption.\r\n  # note that port will likely need to be changed to 636 for ldaps\r\n  # valid options: \"\" | \"starttls\" | \"ldaps\"\r\n  tls = \"\"\r\n\r\n  # skip peer certificate verification. Default is false.\r\n  insecure_skip_verify = false\r\n\r\n  # Path to PEM-encoded Root certificate to use to verify server certificate\r\n  tls_ca = \"/etc/ssl/certs.pem\"\r\n\r\n  # dn/password to bind with. If bind_dn is empty, an anonymous bind is performed.\r\n  bindDn = \"\"\r\n  bindPassword = \"\"\r\n\r\n  # Where to count metrics\r\n  # For instance ou=<metric_name>,o=myorg,c=en\r\n  # In searchBase look for \"retAttr=*\", then for each DN look for Filter and count results.\r\n  searchBase = \"o=myorg,c=en\"\r\n  retAttr = \"ou\"\r\n  filter = \"(objectClass=*)\"\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-07-23T08:57:30.000Z","updatedAt":"2022-04-22T07:41:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10591"},{"rel":"revisions","href":"/dashboards/10591/revisions"},{"rel":"revision","href":"/dashboards/10591/revisions/2"},{"rel":"download","href":"/dashboards/10591/revisions/2/download"},{"rel":"org","href":"/orgs/falon"},{"rel":"images","href":"/dashboards/10591/images"},{"rel":"thumbnails","href":"/dashboards/10591/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19967,"status":1,"statusCode":"active","orgId":985249,"orgSlug":"oguzmang1","orgName":"oguzmang1","slug":"lecturas-de-los-sensores-iot","downloads":295,"revisionId":30686,"revision":1,"name":"LECTURAS DE LOS SENSORES IOT","description":"iot","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-11-11T22:35:47.000Z","updatedAt":"2023-11-11T22:38:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19967"},{"rel":"revisions","href":"/dashboards/19967/revisions"},{"rel":"revision","href":"/dashboards/19967/revisions/1"},{"rel":"download","href":"/dashboards/19967/revisions/1/download"},{"rel":"org","href":"/orgs/oguzmang1"},{"rel":"images","href":"/dashboards/19967/images"},{"rel":"thumbnails","href":"/dashboards/19967/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":3484,"status":1,"statusCode":"active","orgId":91825,"orgSlug":"vooon341","orgName":"vooon341","slug":"lede-router","downloads":1159,"revisionId":5127,"revision":3,"name":"LEDE Router","description":"","readme":"You should configure InfluxDB to accept collectd packets, copy types.db from router.\r\nThen configure in LUCI network plugin (set address of your db server).","collectorType":"collectd","collectorConfig":"For openvpn enable collectd plugin in `make menuconfig`, then add to `/etc/config/luci_statistics`:\r\n```\r\nconfig statistics 'collectd_openvpn'\r\n\toption enable '1'\r\n\tlist StatusFile '/var/run/openvpn.nameofinstance.status'\r\n\toption CollectIndividualUsers '1'\r\n\toption CollectCompression '1'\r\n\toption ImprovedNamingSchema '1'\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-10-16T18:54:14.000Z","updatedAt":"2017-11-16T18:21:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/3484"},{"rel":"revisions","href":"/dashboards/3484/revisions"},{"rel":"revision","href":"/dashboards/3484/revisions/3"},{"rel":"download","href":"/dashboards/3484/revisions/3/download"},{"rel":"org","href":"/orgs/vooon341"},{"rel":"images","href":"/dashboards/3484/images"},{"rel":"thumbnails","href":"/dashboards/3484/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":25020,"status":1,"statusCode":"active","orgId":1702487,"orgSlug":"kryoseu","orgName":"kryoseu","slug":"lemmy","downloads":12,"revisionId":40224,"revision":1,"name":"Lemmy","description":"Lemmy dashboard powered by Prometheus metrics","readme":"# Lemmy Grafana Dashboard\r\n\r\nA dashboard for monitoring a [Lemmy](https://join-lemmy.org/) instance using metrics exposed by Lemmy's built-in Prometheus endpoint.\r\n\r\n## What this dashboard shows\r\n### HTTP Traffic\r\n\r\n- Request rate by endpoint\r\n\r\n- Total traffic\r\n\r\n- Latency percentiles (p50/p90/p95/p99) by endpoint\r\n\r\n- Error rate (4xx/5xx)\r\n\r\n- HTTP errors broken down by endpoint and status code\r\n\r\n### Process Health\r\n\r\n- Resident memory (RSS) and virtual memory (VSZ)\r\n- Thread count\r\n- Open and max file descriptors\r\n\r\n### Database\r\n\r\n- PostgreSQL connection pool usage (max, active, and available connections)\r\n\r\n## Metrics collection\r\n\r\nInformation on metric collection can be found on Lemmy [docs](https://join-lemmy.org/docs/administration/prometheus.html).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-03-17T17:15:38.000Z","updatedAt":"2026-03-17T17:36:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25020"},{"rel":"revisions","href":"/dashboards/25020/revisions"},{"rel":"revision","href":"/dashboards/25020/revisions/1"},{"rel":"download","href":"/dashboards/25020/revisions/1/download"},{"rel":"org","href":"/orgs/kryoseu"},{"rel":"images","href":"/dashboards/25020/images"},{"rel":"thumbnails","href":"/dashboards/25020/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10190,"status":1,"statusCode":"active","orgId":250489,"orgSlug":"morven","orgName":"Morven Hou","slug":"lfp-http-requests","downloads":556,"revisionId":14375,"revision":5,"name":"LFP / HTTP Requests","description":"lfp http 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jvm","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-05-08T07:15:10.000Z","updatedAt":"2019-07-11T06:38:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10160"},{"rel":"revisions","href":"/dashboards/10160/revisions"},{"rel":"revision","href":"/dashboards/10160/revisions/5"},{"rel":"download","href":"/dashboards/10160/revisions/5/download"},{"rel":"org","href":"/orgs/morven"},{"rel":"images","href":"/dashboards/10160/images"},{"rel":"thumbnails","href":"/dashboards/10160/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10189,"status":1,"statusCode":"active","orgId":250489,"orgSlug":"morven","orgName":"Morven Hou","slug":"lfp-product-info","downloads":376,"revisionId":14244,"revision":1,"name":"LFP / Product info","description":"product version info","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2019-05-13T07:59:36.000Z","updatedAt":"2019-05-13T08:00:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10189"},{"rel":"revisions","href":"/dashboards/10189/revisions"},{"rel":"revision","href":"/dashboards/10189/revisions/1"},{"rel":"download","href":"/dashboards/10189/revisions/1/download"},{"rel":"org","href":"/orgs/morven"},{"rel":"images","href":"/dashboards/10189/images"},{"rel":"thumbnails","href":"/dashboards/10189/thumbnails"}]},{"id":15649,"status":1,"statusCode":"active","orgId":420490,"orgSlug":"cooperlees","orgName":"cooperlees","slug":"li3-batteries","downloads":283,"revisionId":23626,"revision":1,"name":"LI3 Batteries","description":"Lithionics Battery Statistics","readme":"Lithionics Li3 Battery Statistics\r\n- E.g. these are in My Winnebago Revel","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-01-30T23:30:43.000Z","updatedAt":"2022-01-30T23:33:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15649"},{"rel":"revisions","href":"/dashboards/15649/revisions"},{"rel":"revision","href":"/dashboards/15649/revisions/1"},{"rel":"download","href":"/dashboards/15649/revisions/1/download"},{"rel":"org","href":"/orgs/cooperlees"},{"rel":"images","href":"/dashboards/15649/images"},{"rel":"thumbnails","href":"/dashboards/15649/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13495,"status":1,"statusCode":"active","orgId":442314,"orgSlug":"davemulley","orgName":"davemulley","slug":"liberty-jmx-pod-dashboard","downloads":411,"revisionId":19708,"revision":1,"name":"Liberty JMX Pod Dashboard","description":"Dashboard for use with WebSphere Liberty and the Prometheus JMX Exporter","readme":"Dashboard for use with WebSphere Liberty and the Prometheus JMX Exporter.\n\nShows data related to Sessions, Servlets, Connection Pools and the JVM.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-12-01T20:16:31.000Z","updatedAt":"2020-12-01T20:19:06.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13495"},{"rel":"revisions","href":"/dashboards/13495/revisions"},{"rel":"revision","href":"/dashboards/13495/revisions/1"},{"rel":"download","href":"/dashboards/13495/revisions/1/download"},{"rel":"org","href":"/orgs/davemulley"},{"rel":"images","href":"/dashboards/13495/images"},{"rel":"thumbnails","href":"/dashboards/13495/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9595,"status":1,"statusCode":"active","orgId":194481,"orgSlug":"sdaschner","orgName":"sdaschner","slug":"liberty-metrics","downloads":750,"revisionId":13608,"revision":2,"name":"Liberty-Metrics","description":"","readme":"Default monitoring of an Open Liberty / WebSphere Liberty instance. Uses the default server metrics that are available with the monitor and mpMetrics feature.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-01-04T08:37:28.000Z","updatedAt":"2019-02-09T17:52:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/9595"},{"rel":"revisions","href":"/dashboards/9595/revisions"},{"rel":"revision","href":"/dashboards/9595/revisions/2"},{"rel":"download","href":"/dashboards/9595/revisions/2/download"},{"rel":"org","href":"/orgs/sdaschner"},{"rel":"images","href":"/dashboards/9595/images"},{"rel":"thumbnails","href":"/dashboards/9595/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11456,"status":1,"statusCode":"active","orgId":305560,"orgSlug":"chancaysergio","orgName":"chancaysergio","slug":"liberty-metrics","downloads":384,"revisionId":16121,"revision":1,"name":"Liberty-Metrics","description":"Dashboard for OpenLiberty  v19.0.0.12","readme":"This dashboard is desing for **OpenLiberty _v19.0.0.12_** or major.\r\n\r\nPanels configure is:\r\n- Servlet \r\n- Connection Pool\r\n- Thread Pool\r\n- Sessions\r\n- System Resources\r\n- Garbage Collections\r\n\r\n**Repository example running**\r\n\r\n[https://github.com/sercheo87/openliberty-grafana](https://github.com/sercheo87/openliberty-grafana)\r\n\r\n\r\nFor issues or suggestion send email to sing [Sergio Chancay](mailto:chancaysergio@gmail.com) \r\n","collectorType":"nodeExporter","collectorConfig":"For more information see [Get Liberty component metrics from /metrics endpoint (Monitor 1.0 with MP Metrics 1.1)](https://openliberty.io/blog/2018/09/19/get-more-metrics-microprofile20.html)","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-12-21T22:24:08.000Z","updatedAt":"2019-12-23T02:21:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11456"},{"rel":"revisions","href":"/dashboards/11456/revisions"},{"rel":"revision","href":"/dashboards/11456/revisions/1"},{"rel":"download","href":"/dashboards/11456/revisions/1/download"},{"rel":"org","href":"/orgs/chancaysergio"},{"rel":"images","href":"/dashboards/11456/images"},{"rel":"thumbnails","href":"/dashboards/11456/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24335,"status":1,"statusCode":"active","orgId":467580,"orgSlug":"axelavar","orgName":"axelavar test","slug":"nvpseed-library-panel-race-join-by-field-test","downloads":68,"revisionId":38913,"revision":1,"name":"Library Panels test data","description":"Testing dashboards feature","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-11-05T12:16:26.000Z","updatedAt":"2025-11-05T12:17:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24335"},{"rel":"revisions","href":"/dashboards/24335/revisions"},{"rel":"revision","href":"/dashboards/24335/revisions/1"},{"rel":"download","href":"/dashboards/24335/revisions/1/download"},{"rel":"org","href":"/orgs/axelavar"},{"rel":"images","href":"/dashboards/24335/images"},{"rel":"thumbnails","href":"/dashboards/24335/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9788,"status":1,"statusCode":"active","orgId":234498,"orgSlug":"mrxermon","orgName":"Mr Xermon","slug":"librenms-server","downloads":1381,"revisionId":13699,"revision":2,"name":"LibreNMS - Server","description":"","readme":"Display metrics recieved by LibreNMS and stored in InfluxDB.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-02-13T12:13:45.000Z","updatedAt":"2019-02-23T15:40:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/9788"},{"rel":"revisions","href":"/dashboards/9788/revisions"},{"rel":"revision","href":"/dashboards/9788/revisions/2"},{"rel":"download","href":"/dashboards/9788/revisions/2/download"},{"rel":"org","href":"/orgs/mrxermon"},{"rel":"images","href":"/dashboards/9788/images"},{"rel":"thumbnails","href":"/dashboards/9788/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":2556,"status":1,"statusCode":"active","orgId":70371,"orgSlug":"fall0ut","orgName":"fall0ut","slug":"librenms-interfaces","downloads":2944,"revisionId":3453,"revision":1,"name":"LibreNMS Interfaces","description":"Simple template dashboard to show you any interface stored in InfluxDB by LibreNMS. Supports calling directly from a URL as well as aggregating multiple interfaces. \r\n\r\n* The same interface name across 1 or more devices just shows up once.. This is useful for switch pairs, but you may want to add another group by with the device name if you want to see individual.","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-06-30T21:37:13.000Z","updatedAt":"2017-06-30T21:39:25.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/2556"},{"rel":"revisions","href":"/dashboards/2556/revisions"},{"rel":"revision","href":"/dashboards/2556/revisions/1"},{"rel":"download","href":"/dashboards/2556/revisions/1/download"},{"rel":"org","href":"/orgs/fall0ut"},{"rel":"images","href":"/dashboards/2556/images"},{"rel":"thumbnails","href":"/dashboards/2556/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14920,"status":1,"statusCode":"active","orgId":519989,"orgSlug":"zextras","orgName":"Zextras","slug":"libreoffice-collabora","downloads":761,"revisionId":22299,"revision":3,"name":"Libreoffice Collabora","description":"","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-25T13:30:52.000Z","updatedAt":"2021-08-30T09:23:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14920"},{"rel":"revisions","href":"/dashboards/14920/revisions"},{"rel":"revision","href":"/dashboards/14920/revisions/3"},{"rel":"download","href":"/dashboards/14920/revisions/3/download"},{"rel":"org","href":"/orgs/zextras"},{"rel":"images","href":"/dashboards/14920/images"},{"rel":"thumbnails","href":"/dashboards/14920/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3928,"status":1,"statusCode":"active","orgId":103007,"orgSlug":"beylistan","orgName":"Stas Beylis","slug":"libvirt","downloads":718,"revisionId":5338,"revision":1,"name":"libvirt","description":"generic dashboard for libvirt_exporter ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-12-06T22:35:08.000Z","updatedAt":"2017-12-06T22:40:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3928"},{"rel":"revisions","href":"/dashboards/3928/revisions"},{"rel":"revision","href":"/dashboards/3928/revisions/1"},{"rel":"download","href":"/dashboards/3928/revisions/1/download"},{"rel":"org","href":"/orgs/beylistan"},{"rel":"images","href":"/dashboards/3928/images"},{"rel":"thumbnails","href":"/dashboards/3928/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13633,"status":1,"statusCode":"active","orgId":448161,"orgSlug":"bykvaadm1","orgName":"bykvaadm1","slug":"libvirt","downloads":2124,"revisionId":19908,"revision":1,"name":"Libvirt","description":"This is complete dashboard to monitor libvirt hypervisors and virtual machines","readme":"## General info\r\n\r\n This dashboard uses two exporters: libvirt exporter and node_exporter with textfile_exporter\r\n\r\n## Libvirt Exporter\r\n- sources: https://github.com/bykvaadm/libvirt_exporter_improved\r\n- docker: https://hub.docker.com/r/bykva/libvirt-exporter\r\n- run: docker run -ti -p 9177:9177 -v /run/libvirt/libvirt-sock-ro:/var/run/libvirt/libvirt-sock-ro:ro bykva/libvirt-exporter:1.0\r\n\r\n## Node Exporter\r\n- sources and docs: https://github.com/prometheus/node_exporter\r\n\r\n## TextFile Exporter (part of node exporter)\r\nto obtain lvm information we use additional node_exporter flag: --collector.textfile.directory=/var/prometheus/textfile_exporter\r\n\r\nand cronjob which runs this script:\r\n\r\n```\r\n#!/bin/bash\r\n\r\nif [ \"$(id -u)\" != \"0\" ] ; then echo \"Please run as root\" >&2; exit 1 ; fi\r\n\r\nprom_file=\"lvm_exporter.prom\"\r\nTEXTFILE_COLLECTOR_DIR=\"/var/prometheus/textfile_exporter\"\r\nrm ${TEXTFILE_COLLECTOR_DIR}/${prom_file}.* 2>/dev/null || true\r\n\r\necho \"# HELP node_lvs_size_bytes LVM size in bytes(IEC) of lvm volumes\" >> \"${TEXTFILE_COLLECTOR_DIR}/${prom_file}.$$\"\r\necho \"# TYPE node_lvs_size_bytes gauge\" >> \"${TEXTFILE_COLLECTOR_DIR}/${prom_file}.$$\"\r\n/usr/sbin/lvs --units b | awk 'FNR>1 {print \"node_lvs_size_bytes{lv=\\\"\"$1\"\\\",vg=\\\"\"$2\"\\\"} \"substr($4, 1, length($4)-1)}' >> \"${TEXTFILE_COLLECTOR_DIR}/${prom_file}.$$\"\r\n\r\necho \"# HELP node_vgs_size_bytes LVM size in bytes(IEC) of lvm volume groups\" >> \"${TEXTFILE_COLLECTOR_DIR}/${prom_file}.$$\"\r\necho \"# TYPE node_vgs_size_bytes gauge\" >> \"${TEXTFILE_COLLECTOR_DIR}/${prom_file}.$$\"\r\n/usr/sbin/vgs --units b | awk 'FNR>1 {print \"node_vgs_size_bytes{vg=\\\"\"$1\"\\\"} \"substr($6, 1, length($6)-1)}' >> \"${TEXTFILE_COLLECTOR_DIR}/${prom_file}.$$\"\r\n\r\necho \"# HELP node_vgs_free_bytes LVM free space of lvm volume groups in bytes(IEC)\" >> \"${TEXTFILE_COLLECTOR_DIR}/${prom_file}.$$\"\r\necho \"# TYPE node_vgs_free_bytes gauge\" >> \"${TEXTFILE_COLLECTOR_DIR}/${prom_file}.$$\"\r\n/usr/sbin/vgs --units b | awk 'FNR>1 {print \"node_vgs_free_bytes{vg=\\\"\"$1\"\\\"} \"substr($7, 1, length($7)-1)}' >> \"${TEXTFILE_COLLECTOR_DIR}/${prom_file}.$$\"\r\n\r\nmv \"${TEXTFILE_COLLECTOR_DIR}/${prom_file}.$$\" \"${TEXTFILE_COLLECTOR_DIR}/${prom_file}\"\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-12-24T09:49:38.000Z","updatedAt":"2020-12-24T10:50:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13633"},{"rel":"revisions","href":"/dashboards/13633/revisions"},{"rel":"revision","href":"/dashboards/13633/revisions/1"},{"rel":"download","href":"/dashboards/13633/revisions/1/download"},{"rel":"org","href":"/orgs/bykvaadm1"},{"rel":"images","href":"/dashboards/13633/images"},{"rel":"thumbnails","href":"/dashboards/13633/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13024,"status":1,"statusCode":"active","orgId":417754,"orgSlug":"amirabf","orgName":"Amir","slug":"libvirt","downloads":336,"revisionId":18852,"revision":1,"name":"LibVirt","description":"mem","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-09-16T20:48:26.000Z","updatedAt":"2020-09-16T20:49:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13024"},{"rel":"revisions","href":"/dashboards/13024/revisions"},{"rel":"revision","href":"/dashboards/13024/revisions/1"},{"rel":"download","href":"/dashboards/13024/revisions/1/download"},{"rel":"org","href":"/orgs/amirabf"},{"rel":"images","href":"/dashboards/13024/images"},{"rel":"thumbnails","href":"/dashboards/13024/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20969,"status":1,"statusCode":"active","orgId":1112269,"orgSlug":"rhysmg","orgName":"rhysmg","slug":"vms-combined-1","downloads":432,"revisionId":32570,"revision":1,"name":"Libvirt / OpenStack - VMs - Combined ","description":"A time series dashboard showing % of host CPU time for multiple libvirt instances which are being managed by OpenStack Nova","readme":"An initial libvirt dashboard.  So far just showing % of physical host CPU time. I'm not 100% sure I've got it right but the numbers line up with top. \r\n - This dashboard relies on the libvirt exporter: https://github.com/Tinkoff/libvirt-exporter. \r\n-  Tested on Ubuntu 22.04 running in docker as per: https://hub.docker.com/r/alekseizakharov/libvirt-exporter. \r\n-  It also relies on node exporter, to get the number of physical cores in the host. \r\n\r\n\r\nThis exporter exports details about the libvirt VMs including OpenStack Nova metadata. But it could easily be modified for non-nova environments. \r\nI hope to add a few more to this in the future. \r\n\r\nDisclaimer: total Prometheus/Grafana newbie. \r\n\r\nSee Also: https://grafana.com/grafana/dashboards/20979-vms-individual/\r\n\r\n-\r\nhttps://blog.rhysgoodwin.com/it/openstack-ceph-hyperconverged/","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-29T11:03:02.000Z","updatedAt":"2024-04-30T00:17:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20969"},{"rel":"revisions","href":"/dashboards/20969/revisions"},{"rel":"revision","href":"/dashboards/20969/revisions/1"},{"rel":"download","href":"/dashboards/20969/revisions/1/download"},{"rel":"org","href":"/orgs/rhysmg"},{"rel":"images","href":"/dashboards/20969/images"},{"rel":"thumbnails","href":"/dashboards/20969/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20979,"status":1,"statusCode":"active","orgId":1112269,"orgSlug":"rhysmg","orgName":"rhysmg","slug":"vms-individual","downloads":570,"revisionId":32587,"revision":1,"name":"Libvirt / OpenStack - VMs - Individual","description":"Repeating Individual time series charts showing % of host CPU time for multiple libvirt instances which are being managed by OpenStack Nova","readme":"An initial libvirt dashboard. So far just showing % of physical host CPU time, one time series chart per VM.  I’m not 100% sure I’ve got it right but the numbers line up with top.\r\n\r\nThese are sorted by highest CPU first however this only updates when the variables are re-evaluated (i.e. browser refresh). \r\n\r\n- This dashboard relies on the libvirt exporter: https://github.com/Tinkoff/libvirt-exporter.\r\n- Tested on Ubuntu 22.04 running in docker as per: https://hub.docker.com/r/alekseizakharov/libvirt-exporter.\r\n- It also relies on node exporter, to get the number of physical cores in the host.\r\n\r\nThis exporter exports details about the libvirt VMs including OpenStack Nova metadata. But it could easily be modified for non-nova environments. I hope to add a few more to this in the future.\r\n\r\nDisclaimer: total Prometheus/Grafana newbie.\r\n\r\nSee Also: https://grafana.com/grafana/dashboards/20969-vms-combined-1/\r\n\r\n- https://blog.rhysgoodwin.com/it/openstack-ceph-hyperconverged/","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-29T20:47:54.000Z","updatedAt":"2024-04-29T21:02:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20979"},{"rel":"revisions","href":"/dashboards/20979/revisions"},{"rel":"revision","href":"/dashboards/20979/revisions/1"},{"rel":"download","href":"/dashboards/20979/revisions/1/download"},{"rel":"org","href":"/orgs/rhysmg"},{"rel":"images","href":"/dashboards/20979/images"},{"rel":"thumbnails","href":"/dashboards/20979/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12538,"status":1,"statusCode":"active","orgId":395893,"orgSlug":"ycy1766","orgName":"ycy1766","slug":"libvirt-dashboard","downloads":3830,"revisionId":18013,"revision":1,"name":"Libvirt Dashboard","description":"\nhttps://github.com/ycy1766/prometheus-libvirt-exporter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-06-28T02:25:24.000Z","updatedAt":"2020-06-28T02:41:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/12538"},{"rel":"revisions","href":"/dashboards/12538/revisions"},{"rel":"revision","href":"/dashboards/12538/revisions/1"},{"rel":"download","href":"/dashboards/12538/revisions/1/download"},{"rel":"org","href":"/orgs/ycy1766"},{"rel":"images","href":"/dashboards/12538/images"},{"rel":"thumbnails","href":"/dashboards/12538/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13131,"status":1,"statusCode":"active","orgId":424616,"orgSlug":"shibapuppy","orgName":"shibapuppy","slug":"libvirt-dashboard","downloads":476,"revisionId":19066,"revision":1,"name":"Libvirt Dashboard","description":"[ref](https://github.com/ycy1766/prometheus-libvirt-exporter)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-09T08:28:43.000Z","updatedAt":"2020-10-09T08:30:02.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13131"},{"rel":"revisions","href":"/dashboards/13131/revisions"},{"rel":"revision","href":"/dashboards/13131/revisions/1"},{"rel":"download","href":"/dashboards/13131/revisions/1/download"},{"rel":"org","href":"/orgs/shibapuppy"},{"rel":"images","href":"/dashboards/13131/images"},{"rel":"thumbnails","href":"/dashboards/13131/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15682,"status":1,"statusCode":"active","orgId":599103,"orgSlug":"jhodysetiawansekardono","orgName":"jhodysetiawansekardono","slug":"libvirt","downloads":1643,"revisionId":23696,"revision":1,"name":"Libvirt Dashboard","description":"A simple dashboard that can monitor libvirt KVM","readme":"### To use this dashboard, please use the following exporter [prometheus-libvirt-exporter](https://github.com/zhangjianweibj/prometheus-libvirt-exporter) to monitor your libvirt KVM\r\n---\r\n\r\nThis dashboard includes panels for the following metrics:\r\n- Number of Total, Running, Shut Off, No State, Suspended, Crashed & VM state\r\n- vCPU Total & Used\r\n- Memory Total, Available & Used\r\n- R/W IOPS & R/W Bytes Throughput\r\n- RX/TX Throughput\r\n- Data Exporter to CSV\r\n\r\n**Note: This dashboard will not be compatible with OpenStack, so just pure libvirt KVM dashboard**\r\n\r\nYou may need to change the job name on `prometheus.yml` to `libvirt_exporter` so you don't have to adjust it on the dashboard","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-02-07T05:17:23.000Z","updatedAt":"2022-02-07T05:49:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15682"},{"rel":"revisions","href":"/dashboards/15682/revisions"},{"rel":"revision","href":"/dashboards/15682/revisions/1"},{"rel":"download","href":"/dashboards/15682/revisions/1/download"},{"rel":"org","href":"/orgs/jhodysetiawansekardono"},{"rel":"images","href":"/dashboards/15682/images"},{"rel":"thumbnails","href":"/dashboards/15682/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13461,"status":1,"statusCode":"active","orgId":439938,"orgSlug":"peschmae","orgName":"peschmae","slug":"libvirt-dashboard","downloads":383,"revisionId":19642,"revision":1,"name":"Libvirt Dashboard","description":"Simple dashboard to display libvirt metrics","readme":"This dashboard is based on https://grafana.com/grafana/dashboards/12538 and intended to work with the exporter available at: https://github.com/kumina/libvirt_exporter\n\nThe difference to the original dashboard is that I don't have a project name, and my VM names are in a property called `domain` and not `name`.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-24T14:18:20.000Z","updatedAt":"2020-11-24T14:19:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13461"},{"rel":"revisions","href":"/dashboards/13461/revisions"},{"rel":"revision","href":"/dashboards/13461/revisions/1"},{"rel":"download","href":"/dashboards/13461/revisions/1/download"},{"rel":"org","href":"/orgs/peschmae"},{"rel":"images","href":"/dashboards/13461/images"},{"rel":"thumbnails","href":"/dashboards/13461/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15747,"status":1,"statusCode":"active","orgId":582489,"orgSlug":"soroush7339","orgName":"srkaviani","slug":"libvirt-dashboard","downloads":416,"revisionId":23820,"revision":1,"name":"Libvirt Dashboard","description":"Dashboard For Libvirt Optimized By Soroush Kaviani","readme":"Install Exporter On Compute Nodes:\r\nhttps://github.com/srkaviani/prometheus_exporters/tree/main/libvirt_exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2022-02-13T05:23:24.000Z","updatedAt":"2022-02-13T05:26:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15747"},{"rel":"revisions","href":"/dashboards/15747/revisions"},{"rel":"revision","href":"/dashboards/15747/revisions/1"},{"rel":"download","href":"/dashboards/15747/revisions/1/download"},{"rel":"org","href":"/orgs/soroush7339"},{"rel":"images","href":"/dashboards/15747/images"},{"rel":"thumbnails","href":"/dashboards/15747/thumbnails"}]},{"id":20737,"status":1,"statusCode":"active","orgId":1081110,"orgSlug":"weshouman","orgName":"weshouman","slug":"libvirt-dashboard","downloads":413,"revisionId":32082,"revision":1,"name":"Libvirt Dashboard","description":"A simple dashboard that can monitor libvirt KVM","readme":"This is a porting of the [Libvirt dashboard](https://grafana.com/grafana/dashboards/15682-libvirt/) to work for [inovex/prometheus-libvirt-exporter](https://github.com/inovex/prometheus-libvirt-exporter)\r\n\r\nThis dashboard includes panels for the following metrics:\r\n\r\n    Number of Total, Running, Shut Off, No State, Suspended, Crashed & VM state\r\n    vCPU Total & Used\r\n    Memory Total, Available & Used\r\n    R/W IOPS & R/W Bytes Throughput\r\n    RX/TX Throughput\r\n    Data Exporter to CSV\r\n\r\nNote: This dashboard will not be compatible with OpenStack, so just pure libvirt KVM dashboard\r\n\r\nThis dashboard allows job and host(Compute) selection.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-21T00:58:06.000Z","updatedAt":"2024-03-21T01:01:55.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20737"},{"rel":"revisions","href":"/dashboards/20737/revisions"},{"rel":"revision","href":"/dashboards/20737/revisions/1"},{"rel":"download","href":"/dashboards/20737/revisions/1/download"},{"rel":"org","href":"/orgs/weshouman"},{"rel":"images","href":"/dashboards/20737/images"},{"rel":"thumbnails","href":"/dashboards/20737/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19639,"status":1,"statusCode":"active","orgId":926678,"orgSlug":"iaacautomation","orgName":"iaacautomation","slug":"libvirt-dashboard","downloads":547,"revisionId":38509,"revision":5,"name":"Libvirt Dashboard","description":"Livbirt monitroring dashboard for kvm host","readme":"1. Instal prometheus-libvirt-exporter on the target host\r\n1. Setup Scarping on promethus node\r\n```\r\n- target: [<node>:<port>]\r\n  labels:\r\n     instance: <node>\r\n```","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-09-23T10:49:16.000Z","updatedAt":"2025-09-23T11:33:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19639"},{"rel":"revisions","href":"/dashboards/19639/revisions"},{"rel":"revision","href":"/dashboards/19639/revisions/5"},{"rel":"download","href":"/dashboards/19639/revisions/5/download"},{"rel":"org","href":"/orgs/iaacautomation"},{"rel":"images","href":"/dashboards/19639/images"},{"rel":"thumbnails","href":"/dashboards/19639/thumbnails"}]},{"id":25071,"status":1,"statusCode":"active","orgId":1601944,"orgSlug":"ruslanyafizov123","orgName":"ruslanyafizov123","slug":"libvirt-dashboard-boom","downloads":15,"revisionId":40309,"revision":1,"name":"Libvirt Dashboard 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https://github.com/inovex/prometheus-libvirt-exporter/releases","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-11T03:09:47.000Z","updatedAt":"2025-04-11T03:12:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23230"},{"rel":"revisions","href":"/dashboards/23230/revisions"},{"rel":"revision","href":"/dashboards/23230/revisions/1"},{"rel":"download","href":"/dashboards/23230/revisions/1/download"},{"rel":"org","href":"/orgs/davift"},{"rel":"images","href":"/dashboards/23230/images"},{"rel":"thumbnails","href":"/dashboards/23230/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14947,"status":1,"statusCode":"active","orgId":422107,"orgSlug":"doubando","orgName":"doubando","slug":"customer-instances","downloads":772,"revisionId":22300,"revision":1,"name":"libvirt_exporter Instances","description":"libvirt_exporter for displaying tenant Instance metric details\r\n\r\n\r\n\r\nhttps://github.com/AlexZzz/libvirt-exporter.git","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL, Prometheus","privacy":"public","createdAt":"2021-08-30T10:30:11.000Z","updatedAt":"2021-08-30T10:32:49.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14947"},{"rel":"revisions","href":"/dashboards/14947/revisions"},{"rel":"revision","href":"/dashboards/14947/revisions/1"},{"rel":"download","href":"/dashboards/14947/revisions/1/download"},{"rel":"org","href":"/orgs/doubando"},{"rel":"images","href":"/dashboards/14947/images"},{"rel":"thumbnails","href":"/dashboards/14947/thumbnails"}],"datasourceSlugs":["postgres","prometheus"]},{"id":8396,"status":1,"statusCode":"active","orgId":201053,"orgSlug":"bdekany","orgName":"bdekany","slug":"libvirt-kvm","downloads":825,"revisionId":11534,"revision":1,"name":"libvirt+kvm","description":"dashboard for libvirt via collectd","readme":"Simple Dashboard to monitor KVM Host and Guests.\r\n","collectorType":"collectd","collectorConfig":"## collectd.conf\r\n```xml\r\nLoadPlugin virt\r\n<Plugin virt>\r\n        Connection \"qemu:///system\"\r\n        HostnameFormat name\r\n</Plugin>\r\n\r\nLoadPlugin write_prometheus\r\n<Plugin write_prometheus>\r\n        Port \"9103\"\r\n</Plugin>\r\n```\r\n## prometheus.yml\r\n```yaml\r\n  - job_name: collectd\r\n    static_configs:\r\n      - targets:\r\n        - 'localhost:9103'\r\n```","collectorPluginList":"virt plugin","datasource":"Prometheus","privacy":"public","createdAt":"2018-10-16T11:49:34.000Z","updatedAt":"2018-10-16T12:16:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8396"},{"rel":"revisions","href":"/dashboards/8396/revisions"},{"rel":"revision","href":"/dashboards/8396/revisions/1"},{"rel":"download","href":"/dashboards/8396/revisions/1/download"},{"rel":"org","href":"/orgs/bdekany"},{"rel":"images","href":"/dashboards/8396/images"},{"rel":"thumbnails","href":"/dashboards/8396/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18883,"status":1,"statusCode":"active","orgId":872017,"orgSlug":"adisandu14","orgName":"adisandu14","slug":"licenta","downloads":834,"revisionId":28963,"revision":1,"name":"licenta","description":"Air monitoring for a school 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sitespeed.io/graphite","readme":"A simple dashboard to show sitespeed.io Lighthouse Reports in Grafana","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2019-06-03T09:38:27.000Z","updatedAt":"2019-06-03T09:44:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/10288"},{"rel":"revisions","href":"/dashboards/10288/revisions"},{"rel":"revision","href":"/dashboards/10288/revisions/1"},{"rel":"download","href":"/dashboards/10288/revisions/1/download"},{"rel":"org","href":"/orgs/ochorocho"},{"rel":"images","href":"/dashboards/10288/images"},{"rel":"thumbnails","href":"/dashboards/10288/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":15219,"status":1,"statusCode":"active","orgId":560515,"orgSlug":"oscarpalos","orgName":"oscarpalos","slug":"lighthouse-sitespeed-io-reports","downloads":301,"revisionId":22820,"revision":1,"name":"Lighthouse (sitespeed.io) reports","description":" Display Lighthouse reports provided by sitespeed.io/graphite","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2021-11-08T19:22:48.000Z","updatedAt":"2021-11-08T19:23:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15219"},{"rel":"revisions","href":"/dashboards/15219/revisions"},{"rel":"revision","href":"/dashboards/15219/revisions/1"},{"rel":"download","href":"/dashboards/15219/revisions/1/download"},{"rel":"org","href":"/orgs/oscarpalos"},{"rel":"images","href":"/dashboards/15219/images"},{"rel":"thumbnails","href":"/dashboards/15219/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":16481,"status":1,"statusCode":"active","orgId":666466,"orgSlug":"gilade2285","orgName":"gilade2285","slug":"lighthouse-sitespeed-io-reports","downloads":292,"revisionId":25142,"revision":1,"name":"Lighthouse (sitespeed.io) reports","description":" Display Lighthouse reports provided by sitespeed.io/graphite","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2022-06-20T21:18:32.000Z","updatedAt":"2022-06-20T21:24:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16481"},{"rel":"revisions","href":"/dashboards/16481/revisions"},{"rel":"revision","href":"/dashboards/16481/revisions/1"},{"rel":"download","href":"/dashboards/16481/revisions/1/download"},{"rel":"org","href":"/orgs/gilade2285"},{"rel":"images","href":"/dashboards/16481/images"},{"rel":"thumbnails","href":"/dashboards/16481/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":17083,"status":1,"statusCode":"active","orgId":717942,"orgSlug":"vlastest","orgName":"vlastest","slug":"lighthouse-sitespeed-io-reports","downloads":311,"revisionId":26212,"revision":1,"name":"Lighthouse (sitespeed.io) reports","description":" Display Lighthouse reports provided by sitespeed.io/graphite","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2022-09-29T11:21:26.000Z","updatedAt":"2022-09-29T11:21:38.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17083"},{"rel":"revisions","href":"/dashboards/17083/revisions"},{"rel":"revision","href":"/dashboards/17083/revisions/1"},{"rel":"download","href":"/dashboards/17083/revisions/1/download"},{"rel":"org","href":"/orgs/vlastest"},{"rel":"images","href":"/dashboards/17083/images"},{"rel":"thumbnails","href":"/dashboards/17083/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":15013,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"lightstep-streams","downloads":334,"revisionId":22423,"revision":2,"name":"Lightstep Streams","description":"Visualize Lightstep streams","readme":"See [https://github.com/lightstep/lightstep-grafana-plugin](https://github.com/lightstep/lightstep-grafana-plugin) for more details","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"grafana-lightstep-datasource","privacy":"public","createdAt":"2021-09-15T11:47:34.000Z","updatedAt":"2021-09-15T16:27:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15013"},{"rel":"revisions","href":"/dashboards/15013/revisions"},{"rel":"revision","href":"/dashboards/15013/revisions/2"},{"rel":"download","href":"/dashboards/15013/revisions/2/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/15013/images"},{"rel":"thumbnails","href":"/dashboards/15013/thumbnails"}],"datasourceSlugs":["grafana-lightstep-datasource"]},{"id":22784,"status":1,"statusCode":"active","orgId":716782,"orgSlug":"cleclerc","orgName":"cleclerc","slug":"lightweight-apm-for-opentelemetry","downloads":7754,"revisionId":37746,"revision":7,"name":"Lightweight APM for OpenTelemetry","description":"Lightweight APM dashboard for monitoring OpenTelemetry-based services.  \n\nInstrument your applications using OpenTelemetry SDKs and send traces, metrics, and logs to Tempo for traces, a Prometheus-compatible database like Mimir for metrics, and Loki for logs. This dashboard provides a centralized view of your application's health and performance.  \n\nFor a fully managed observability stack, consider using Grafana Cloud.  \n\nLearn more about this dashboard on https://github.com/cyrille-leclerc/opentelemetry-service-dashboard.","readme":"# Lightweight APM for OpenTelemetry\r\n\r\nInstrument your applications using OpenTelemetry SDKs and send traces, metrics, and logs to [Tempo](https://grafana.com/oss/tempo/) for traces, a Prometheus-compatible database like [Mimir](https://grafana.com/oss/mimir/) for metrics, and [Loki](https://grafana.com/oss/loki/) for logs. This dashboard provides a centralized view of your application's health and performance.  \r\n\r\nFor a fully managed observability stack, consider using [Grafana Cloud](https://grafana.com/products/cloud/).\r\n\r\nLearn more about this dashboard [here](https://github.com/cyrille-leclerc/opentelemetry-service-dashboard).  \r\n\r\n## Setup\r\n\r\n* *IMPORTANT* Configure a [Prometheus](https://prometheus.io/) database like [Grafana Mimir](https://grafana.com/oss/mimir/) enabling resource attribute promotion (see database configuration below)\r\n* Instrument services with OpenTelemetry SDK libraries and auto-instrumentation agents. Ensure the instrumentation produces:\r\n  * Metrics: [HTTP metrics](https://opentelemetry.io/docs/specs/semconv/http/http-metrics/), [gRPC metrics](https://opentelemetry.io/docs/specs/semconv/rpc/rpc-metrics/), or [Database Client Metrics](https://opentelemetry.io/docs/specs/semconv/database/database-metrics/)\r\n  * Traces: optional\r\n  * Logs: optional\r\n* Send generated telemetry (details in FAQ below):\r\n  * Traces to [Grafana Tempo](https://grafana.com/oss/tempo/)\r\n  * Metrics to a [Prometheus](https://prometheus.io/) database like [Grafana Mimir](https://grafana.com/oss/mimir/) using its OTLP endpoint.** Stop converting metrics from OTel to Prometheus using the OpenTelemetry Collector Prometheus Remote Write Exporter, send OTLP to the Prometheus database.**\r\n  * Logs to [Grafana Loki](https://grafana.com/oss/loki/) using the Loki OTLP/HTTP endpoint\r\n* Ensure that a datasource is setup in Grafana for each of these Tempo, Prometheus, and Loki databases\r\n* In Grafana, create the \"OpenTelemetry Service\" dashboard:\r\n  * Navigate to \"Dashboards\" then click on the \"New / New dashboard\" button\r\n  * Click on \"Import a dashboard\"\r\n  * On the \"Import dashboard\" screen, enter the ID `22784` then click on the \"Load\" button\r\n\r\n## Database configuration\r\n\r\n### Prometheus OTLP Endpoint configuration\r\n\r\nExample Prometheus OTLP Endpoint configuration\r\n\r\n```yml\r\notlp:\r\n  keep_identifying_resource_attributes: true\r\n  promote_resource_attributes:\r\n    # REQUIRED FOR THIS DASHBOARD\r\n    - service.instance.id\r\n    - service.name\r\n    - service.namespace\r\n    - deployment.environment.name\r\n    # RECOMMENDED FOR OTEL METRICS IN GENERAL\r\n    - service.version\r\n    - cloud.availability_zone\r\n    - cloud.region\r\n    - container.name\r\n    - deployment.environment\r\n    - k8s.cluster.name\r\n    - k8s.container.name\r\n    - k8s.cronjob.name\r\n    - k8s.daemonset.name\r\n    - k8s.deployment.name\r\n    - k8s.job.name\r\n    - k8s.namespace.name\r\n    - k8s.pod.name\r\n    - k8s.replicaset.name\r\n    - k8s.statefulset.name\r\n```\r\n\r\nLearn more in Prometheus [configuration reference](https://prometheus.io/docs/prometheus/latest/configuration/configuration/) and [OpenTelemetry guide](https://prometheus.io/docs/guides/opentelemetry/).\r\n\r\n### Mimir OTLP Endpoint configuration\r\n\r\nConfigure the parameters `otel_keep_identifying_resource_attributes` and `promote_otel_resource_attributes` on the OTLP endpoint.\r\n\r\nExample Mimir OTLP Endpoint configuration snippet:\r\n\r\n```yml\r\n# (experimental) Whether to keep identifying OTel resource attributes in the\r\n# target_info metric on top of converting to job and instance labels.\r\n# CLI flag: -distributor.otel-keep-identifying-resource-attributes\r\notel_keep_identifying_resource_attributes: true\r\n# (experimental) Optionally specify OTel resource attributes to promote to\r\n# labels.\r\n# CLI flag: -distributor.otel-promote-resource-attributes\r\npromote_otel_resource_attributes: \"service.instance.id, service.name, service.namespace, service.version, cloud.availability_zone, cloud.region, container.name, deployment.environment, deployment.environment.name, k8s.cluster.name, k8s.container.name, k8s.cronjob.name, k8s.daemonset.name, k8s.deployment.name, k8s.job.name, k8s.namespace.name, k8s.pod.name, k8s.replicaset.name, k8s.statefulset.name\"\r\n```\r\n\r\nLearn more in [Mimir configuration parameters](https://github.com/grafana/mimir/blob/main/docs/sources/mimir/configure/configuration-parameters/index.md).\r\n\r\n### Grafana Cloud Metrics configuration\r\n\r\nSend OpenTelemetry metrics to the Grafana Cloud OTLP Endpoint as documented in Grafana Cloud / Send OTLP data and open a support ticket to activate `otel_keep_identifying_resource_attributes`.\r\n\r\nNote that the Grafana Cloud OTLP Endpoint is configured by default to promote the following resource attributes, this list can be modified through a support ticket. If your Grafana Cloud stack has not been configured, please open a support ticket. Default promoted resource attributes:\r\n\r\n```yml\r\n- service.instance.id\r\n- service.name\r\n- service.namespace\r\n- deployment.environment.name\r\n- service.version\r\n- cloud.availability_zone\r\n- cloud.region\r\n- container.name\r\n- deployment.environment\r\n- k8s.cluster.name\r\n- k8s.container.name\r\n- k8s.cronjob.name\r\n- k8s.daemonset.name\r\n- k8s.deployment.name\r\n- k8s.job.name\r\n- k8s.namespace.name\r\n- k8s.pod.name\r\n- k8s.replicaset.name\r\n- k8s.statefulset.name\r\n```\r\n\r\n\r\n## FAQ\r\n\r\n## What are the compatible OpenTelemetry SDKs and auto-instrumentations\r\n\r\nDashboard mostly tested with the [OpenTelemetry Instrumentation for Java](https://github.com/open-telemetry/opentelemetry-java-instrumentation),\r\ncompatible with instrumentation that produce OpenTelemetry compliant traces, logs, [HTTP metrics](https://opentelemetry.io/docs/specs/semconv/http/http-metrics/), [gRPC metrics](https://opentelemetry.io/docs/specs/semconv/rpc/rpc-metrics/), or [Database Client Metrics](https://opentelemetry.io/docs/specs/semconv/database/database-metrics/).\r\n\r\n## How to send OpenTelemetry traces, metrics, and logs to Grafana Tempo, Mimir, and Loki\r\n\r\n### Grafana Cloud\r\n\r\nWhen using Grafana Cloud, follow the instructions of he Grafana Cloud documentation page\r\n [OpenTelemetry > Send data to the Grafana Cloud OTLP endpoint](https://grafana.com/docs/grafana-cloud/send-data/otlp/send-data-otlp/).\r\n\r\n### Self managed Tempo, Mimir, and Loki\r\n\r\nExample OpenTelemetry Collector configuration to send to self managed instances of Tempo, Mimir, and Loki:\r\n\r\nReplace `tempo.example.com` , `mimir.example.com` , and `loki.example.com` by the desired host names.\r\n\r\nFor production deployments, enable TLS security and remove `insecure: true`.\r\n\r\n```yaml\r\nreceivers:\r\n  otlp:\r\n    protocols:\r\n      grpc:\r\n        endpoint: 0.0.0.0:4317\r\n      http:\r\n        endpoint: 0.0.0.0:4318\r\n\r\nprocessors:\r\n  batch:\r\n\r\nexporters:\r\n  otlphttp/metrics:\r\n    endpoint: http://mimir.example.com:9090/api/v1/otlp\r\n    tls:\r\n      insecure: true\r\n  otlphttp/traces:\r\n    endpoint: http://tempo.example.com:4418\r\n    tls:\r\n      insecure: true\r\n  otlphttp/logs:\r\n    endpoint: http://loki.example.com:3100/otlp\r\n    tls:\r\n      insecure: true\r\n  debug/metrics:\r\n    verbosity: detailed\r\n  debug/traces:\r\n    verbosity: detailed\r\n  debug/logs:\r\n    verbosity: detailed\r\n\r\nservice:\r\n  pipelines:\r\n    traces:\r\n      receivers: [otlp]\r\n      processors: [batch]\r\n      exporters: [otlphttp/traces]\r\n      #exporters: [otlphttp/traces,debug/traces]\r\n    metrics:\r\n      receivers: [otlp]\r\n      processors: [batch]\r\n      exporters: [otlphttp/metrics]\r\n      #exporters: [otlphttp/metrics,debug/metrics]\r\n    logs:\r\n      receivers: [otlp]\r\n      processors: [batch]\r\n      exporters: [otlphttp/logs]\r\n      #exporters: [otlphttp/logs,debug/logs]\r\n```\r\n\r\n## The drop down list for services is empty\r\n\r\nTODO\r\n\r\n## Support\r\n\r\nPlease report issues on https://github.com/cyrille-leclerc/opentelemetry-service-dashboard.\r\n\r\n## License\r\n\r\n Apache-2.0 license.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus, Tempo","privacy":"public","createdAt":"2025-01-31T09:24:36.000Z","updatedAt":"2025-07-15T14:58:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22784"},{"rel":"revisions","href":"/dashboards/22784/revisions"},{"rel":"revision","href":"/dashboards/22784/revisions/7"},{"rel":"download","href":"/dashboards/22784/revisions/7/download"},{"rel":"org","href":"/orgs/cleclerc"},{"rel":"images","href":"/dashboards/22784/images"},{"rel":"thumbnails","href":"/dashboards/22784/thumbnails"}],"datasourceSlugs":["loki","prometheus","tempo"]},{"id":24528,"status":1,"statusCode":"active","orgId":1611594,"orgSlug":"thinredline","orgName":"thinredline","slug":"lightweight-apm-for-opentelemetry","downloads":49,"revisionId":39270,"revision":1,"name":"Lightweight APM for OpenTelemetry","description":"Lightweight APM dashboard for monitoring OpenTelemetry-based services.  \r\n\r\nInstrument your applications using OpenTelemetry SDKs and send traces, metrics, and logs to Tempo for traces, a Prometheus-compatible database like Mimir for metrics, and Loki for logs. 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service mesh control plane. Provides a top-to-bottom view of control plane health — from a single-glance health summary at the top, through internal gRPC and HTTP traffic, endpoint discovery, certificate lifecycle, Kubernetes informer latency, Go runtime resource usage, and Buoyant Enterprise–specific features including external workload autoregistration, controller work queues, and the license controller.\r\n\r\nUse this dashboard as your primary diagnostic tool whenever the control plane behaves unexpectedly: proxies returning errors, endpoint routing going stale, certificates failing to rotate, or a rollout causing unexpected restarts.","readme":"## Template Variables\r\n\r\n* `datasource` — Prometheus datasource\r\n* `control_ns` — Control plane namespace\r\n* `pod` — Pod filter (multi-select)\r\n\r\n## Sections\r\n\r\n**Control Plane Health** — up targets, restarts (24h), oldest uptime, cert expiry days\r\n\r\n**Mesh: Connected Proxies & Streams** — meshed proxy count, active Destination (`Get`, `GetProfile`) and Policy (`Watch`, `WatchPort`) streams\r\n\r\n**Control Plane Traffic** — request rate and latency (p50/p95/p99) to destination and proxy-injector\r\n\r\n**Proxy Injector & Destination Cache** — admission rate by namespace, cache/subscriber object counts\r\n\r\n**HTTP Client (Controller → API Server)** — request rate and latency by component/method/code\r\n\r\n**gRPC Server (Controller)** — message throughput and handled RPCs by method/code\r\n\r\n**Identity & Certificates** — cert refresh rate, expiry timestamps, issuer TTL\r\n\r\n**Destination Deep Dive** — stream counts over time, update rate, queue overflows, goroutines\r\n\r\n**Informer Lag** — p99 K8s watch latency for EndpointSlice, Pod, Service, ServiceProfile, Server\r\n\r\n**Identity Deep Dive** — Certify RPC rate, active requests, latency\r\n\r\n**Policy Streams** — active WatchPort/Watch streams, gRPC setup latency\r\n\r\n**Controller Resources** — CPU, memory, GC pauses, goroutines, heap objects, alloc rate\r\n\r\n**Enterprise: External Workloads** — registration success/failure, created/reconnected, autoregistration gRPC\r\n\r\n**Enterprise: Work Queue** — depth, add rate, queue/work duration, retries, drops\r\n\r\n**Enterprise: License Controller** — License RPC rate by code, p95 latency\r\n\r\n## Metrics Sources\r\n\r\n* `linkerd-proxy` — meshed sidecars\r\n* `linkerd-controller` — control plane components\r\n* `kube-state-metrics` — restart counts\r\n\r\n**Note:** Linkerd 2.19 renamed control plane admin ports from the shared `admin-http` to unique per-component names (`dest-admin`, `policy-admin`, `ident-admin`, etc.). 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meshed workloads. Covers HTTP traffic, TCP connections, HTTPRoute policy metrics, authorization decisions, and proxy resource usage.","readme":"## Filters\r\n\r\n**Datasource** — Prometheus instance to query.\r\n\r\n**Namespace** — One or more namespaces containing meshed workloads. Filters the Workload and Pod dropdowns.\r\n\r\n**Workload** — Deployment name within the selected namespace(s). Narrows the Pod list.\r\n\r\n**Pod** — Individual meshed pod(s). Pod names follow `{workload}-{replicaset-hash}-{pod-hash}`.\r\n\r\n## Sections\r\n\r\n### HTTP Traffic\r\n\r\nInbound HTTP/gRPC metrics recorded at the receiving proxy sidecar, independent of application instrumentation. Success rate and p95 latency are your primary SLI signals.\r\n\r\n- **Inbound Success Rate by Namespace** — Ratio of successful to total inbound responses. Linkerd classifies 2xx/3xx as success, 5xx as failure, and 4xx as failure unless the route is retryable. A value below 1.0 warrants investigation.\r\n- **Inbound Request Rate by Namespace** — Ground-truth throughput of all inbound requests, regardless of application outcome. Spikes may indicate traffic floods or retry storms; drops may indicate outages or upstream routing changes.\r\n- **Inbound Latency P95 by Namespace** — 95th-percentile response latency in milliseconds at the receiving proxy, including application processing time. A rising p95 with a stable success rate points to application-level slowness.\r\n- **Inbound Response Classification by Namespace** — Total inbound response rate split by success/failure classification. A widening failure band is the primary signal to investigate even when p95 latency looks healthy.\r\n\r\n### TCP\r\n\r\nProtocol-agnostic connection and throughput metrics for all TCP traffic through the proxy. The primary signal for non-HTTP workloads such as databases, message queues, and gRPC streaming.\r\n\r\n- **TCP Open Connections** — Real-time count of open TCP connections per namespace. A spike may indicate a connection leak; a sustained drop to zero means no traffic is flowing.\r\n- **TCP Read Bytes/s** — Bytes per second read from the network by the proxy sidecar. High read throughput with a low success rate may indicate connection flooding or large payloads to a failing service.\r\n- **TCP Write Bytes/s** — Bytes per second written back to callers. Asymmetry between read and write throughput reveals traffic patterns (uploads vs. downloads, streaming responses).\r\n- **TCP Open / Close Rate** — Connection establishment and teardown rate per second. A high open rate with a low close rate indicates connection accumulation; high close with low open indicates rapid reconnect churn.\r\n\r\n### Outbound HTTP Routes\r\n\r\nPer-route and per-backend metrics for outbound HTTP traffic governed by Linkerd HTTPRoute policy. Populated only when HTTPRoute objects with Linkerd policy are present.\r\n\r\n- **Outbound Route: Backend Latency P95** — p95 response duration (seconds) per backend as seen by the outbound proxy. A large spread across backends signals imbalanced load or a degraded replica.\r\n- **Outbound Route: Backend Status Codes** — Response status codes per backend per second. 503s often indicate Kubernetes readiness probe failures routing traffic to unready pods.\r\n- **Outbound Route: Request Latency P95** — p95 end-to-end request duration at the route level, including retries. A gap between this and backend latency indicates retries are inflating caller-observed latency.\r\n- **Outbound Route: Request Status Classes** — Success/failure classification at the route level after all retries. This is the route-level SLI.\r\n- **Outbound Route: Retry Requests** — Rate of requests retried by the proxy due to retry policies. Retries multiply actual backend load; a spike means backends are failing frequently and consuming the retry budget.\r\n- **Outbound Route: Total Request Rate** — Total outbound request rate at the route level. Compare with backend rate to measure retry amplification (e.g., 100 route rps → 250 backend rps = ~2.5× retry factor).\r\n\r\n### Inbound HTTP Routes\r\n\r\nPer-route inbound metrics for namespaces with Linkerd inbound HTTPRoute policies applied. Enables per-endpoint SLO tracking rather than service-wide aggregates.\r\n\r\n- **Inbound Route: Request Status Classes** — Success/failure classification per inbound HTTPRoute. A single route with a high failure rate while others are healthy isolates the issue to that handler or its downstream dependency.\r\n- **Inbound Route: Request Latency P95** — p95 request duration (seconds) per inbound HTTPRoute. Identifies slow endpoints that would be masked by a service-wide aggregate.\r\n\r\n### Policy & Authorization\r\n\r\nAuthorization allow/deny metrics from Linkerd Server and AuthorizationPolicy resources. Denials happen silently at the proxy before the request reaches the application, leaving no application-level error log.\r\n\r\n- **Inbound HTTP AuthZ: Allow / Deny by Server** — Allow and deny rate per Linkerd Server resource. A non-zero deny rate means requests are being dropped before the application sees them.\r\n- **Inbound HTTP AuthZ: Allow / Deny by Policy** — Authorization decisions broken down per AuthorizationPolicy. Identifies exactly which policy is allowing or denying traffic when multiple policies apply to the same Server.\r\n- **Inbound TCP AuthZ: Allow / Deny by Server** — TCP connection allow/deny rate per Server. A denied TCP connection results in an immediate connection reset visible to the client as connection refused.\r\n- **Inbound TCP AuthZ: Allow / Deny by Policy** — TCP authorization decisions per AuthorizationPolicy. Use this when unexplained connection errors appear for non-HTTP services and application logs show nothing.\r\n\r\n### Proxy Resource Usage\r\n\r\nCPU, memory, and runtime metrics for linkerd-proxy sidecar containers. The proxy is designed to use less than 0.1 CPU cores and 20–30 MB RSS under normal load. Elevated usage warrants investigation since the proxy shares the pod's resource quota with the application.\r\n\r\n- **Proxy CPU** — CPU cores consumed per pod. Sustained usage above 0.5 cores indicates saturation, causing latency increases as the proxy falls behind on packet processing and TLS operations.\r\n- **Proxy Memory (RSS)** — Resident set size in bytes per pod. RSS above 100 MB is unusual; unbounded growth may indicate a memory leak or an oversized routing table.\r\n- **Proxy Goroutines** — Go goroutine count for processes sharing the proxy scrape target. Monotonically increasing goroutine count indicates leaks leading to eventual OOMKill.\r\n- **Proxy Heap In-Use** — Active Go heap bytes per pod. If heap in-use approaches RSS, the process has little headroom. A rising heap with stable goroutines suggests data accumulation rather than goroutine leaks.\r\n\r\n## Installation\r\n\r\nImport [linkerd-data-plane.json](linkerd-data-plane.json) into Grafana and select your Prometheus datasource when 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Tracks same-zone locality scores, cross-AZ traffic volume and projected cost savings, zone-to-zone traffic flow, endpoint pool health, inbound/outbound latency by zone, and HAZL tuning guidance. Use to validate HAZL effectiveness, identify zone imbalances, and quantify egress cost reduction.","readme":"## Linkerd HAZL: Multi-Zone Traffic & Cost Analysis\r\n\r\nA Grafana dashboard for monitoring [Linkerd's HAZL (High Availability Zone-aware Load balancing)](https://docs.buoyant.io/hazl) in multi-zone Kubernetes clusters. It surfaces locality effectiveness, cross-AZ traffic costs, zone health, and endpoint pool state in one place.\r\n\r\n### Requirements\r\n\r\n- Linkerd Enterprise (HAZL feature)\r\n- Prometheus scraping Linkerd proxy metrics\r\n- Node metrics with `topology.kubernetes.io/zone` labels (standard on EKS, GKE, AKS)\r\n\r\n### Dashboard sections\r\n\r\n**Overview** — HAZL locality score (same-zone %), projected annual cross-AZ cost, same-AZ vs cross-AZ traffic volume\r\n\r\n**Zone Traffic Analysis** — Zone-to-zone traffic matrix, cross-zone spill %, latency and success rate by destination zone\r\n\r\n**Cost Savings Estimate** — Actual cost with HAZL vs estimated baseline without it, annual savings, traffic reduction %\r\n\r\n**Zone Health & Tuning** — Pod count per zone, imbalance ratio, structural spill from skew, per-zone RPS/latency/connections, tuning guide\r\n\r\n**HAZL Endpoint Deep Dive** — Active local vs remote endpoints, locality % per service, pool size over time\r\n\r\n**Outbound Latency & Errors** — RPS, p50/p95/p99 latency, and error rate broken down by source zone\r\n\r\n### Template variables\r\n\r\n**Datasource** — Prometheus datasource to use\r\n\r\n**Client Namespace** — Filter by one or more namespaces (multi-select, defaults to all)\r\n\r\n**Client Deployment** — Filter by deployment within the selected namespace(s)\r\n\r\n**Cross-AZ Traffic Cost ($/GB)** — Cloud provider egress rate for cost projections (AWS/GCP $0.01, AWS bidirectional $0.02, Azure $0.00, or 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node_exporter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-01T12:47:33.000Z","updatedAt":"2023-04-01T12:55:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18412"},{"rel":"revisions","href":"/dashboards/18412/revisions"},{"rel":"revision","href":"/dashboards/18412/revisions/1"},{"rel":"download","href":"/dashboards/18412/revisions/1/download"},{"rel":"org","href":"/orgs/nguyenbernard"},{"rel":"images","href":"/dashboards/18412/images"},{"rel":"thumbnails","href":"/dashboards/18412/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2747,"status":1,"statusCode":"active","orgId":75575,"orgSlug":"fritshoogland","orgName":"Frits Hoogland","slug":"linux-memory","downloads":3108,"revisionId":8723,"revision":4,"name":"Linux memory","description":"This dashboard details memory area's as seen in linux' /proc/meminfo 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This allows you to get an overview of actual current usage.","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-07-27T17:54:44.000Z","updatedAt":"2018-06-06T18:01:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2747"},{"rel":"revisions","href":"/dashboards/2747/revisions"},{"rel":"revision","href":"/dashboards/2747/revisions/4"},{"rel":"download","href":"/dashboards/2747/revisions/4/download"},{"rel":"org","href":"/orgs/fritshoogland"},{"rel":"images","href":"/dashboards/2747/images"},{"rel":"thumbnails","href":"/dashboards/2747/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10301,"status":1,"statusCode":"active","orgId":156809,"orgSlug":"gabrielsagnard","orgName":"gabriel sagnard","slug":"grafana","downloads":2866,"revisionId":14408,"revision":1,"name":"Linux metrics (CPU, memory)","description":"6.2 Grafana","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-06-05T16:23:10.000Z","updatedAt":"2019-06-05T16:25:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10301"},{"rel":"revisions","href":"/dashboards/10301/revisions"},{"rel":"revision","href":"/dashboards/10301/revisions/1"},{"rel":"download","href":"/dashboards/10301/revisions/1/download"},{"rel":"org","href":"/orgs/gabrielsagnard"},{"rel":"images","href":"/dashboards/10301/images"},{"rel":"thumbnails","href":"/dashboards/10301/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22553,"status":1,"statusCode":"active","orgId":880055,"orgSlug":"mdkucharek","orgName":"mdkucharek","slug":"linux-monitoring","downloads":288,"revisionId":35491,"revision":1,"name":"Linux Monitoring","description":"This Grafana dashboard offers a detailed overview of the performance and resource utilization of Linux nodes in a Kubernetes cluster. It includes metrics for CPU, memory, storage, and network usage at the node, namespace, and pod levels, facilitating efficient monitoring and troubleshooting.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-12-20T12:43:30.000Z","updatedAt":"2024-12-20T12:43:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22553"},{"rel":"revisions","href":"/dashboards/22553/revisions"},{"rel":"revision","href":"/dashboards/22553/revisions/1"},{"rel":"download","href":"/dashboards/22553/revisions/1/download"},{"rel":"org","href":"/orgs/mdkucharek"},{"rel":"images","href":"/dashboards/22553/images"},{"rel":"thumbnails","href":"/dashboards/22553/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21140,"status":1,"statusCode":"active","orgId":918047,"orgSlug":"d19akash","orgName":"d19akash","slug":"usdc-prod-linux-monitoring","downloads":473,"revisionId":32897,"revision":1,"name":"Linux Monitoring","description":"This Grafana dashboard offers a detailed overview of the performance and resource utilization of Linux nodes in a Kubernetes cluster. It includes metrics for CPU, memory, storage, and network usage at the node, namespace, and pod levels, facilitating efficient monitoring and troubleshooting.","readme":"The provided Grafana dashboard offers a detailed and comprehensive view of the performance and resource utilization of your Linux nodes in a Kubernetes cluster. Here's a more precise description of each section:\r\n\r\n1. Headlines: This section provides a high-level snapshot of the Namespace, including metrics such as CPU Utilization, Memory Utilization, CPU Requests and Limits, and Memory Requests and Limits.\r\n\r\n2. CPU Utilization - Nodes: This section displays the CPU utilization for each node in the cluster, helping you understand the extent of CPU resource usage and identify nodes that might be under heavy load.\r\n\r\n3. CPU Utilization & Quota - Namespaces: This section presents the CPU utilization and quota for each namespace, helping you understand the CPU resources consumed by each namespace and identify any namespaces that are nearing their quota. This includes metrics for CPU usage, requests, and limits. Additionally, it provides metrics for maximum and average CPU utilization, offering a more comprehensive view of CPU usage patterns.\r\n\r\n4. CPU Utilization & Quota - Pods: This section displays the CPU utilization and quota for each pod, helping you understand the CPU resources consumed by each pod and identify any pods that are nearing their quota. This includes metrics for CPU usage, requests, and limits.\r\n\r\n5. Memory Utilization & Saturation - Nodes: This section presents the memory utilization and saturation for each node, helping you understand the extent of memory resource usage and identify nodes that might be running out of memory. This includes metrics for memory used, available, and freed.\r\n\r\n6. Memory Utilization & Quota - Namespaces: This section displays the memory utilization and quota for each namespace, helping you understand the memory resources consumed by each namespace and identify any namespaces that are nearing their quota. This includes metrics for memory usage, requests, and limits. Additionally, it provides metrics for maximum and average memory usage, offering a more comprehensive view of memory usage patterns.\r\n\r\n7. Memory Utilization & Quota - Pods: This section presents the memory utilization and quota for each pod, helping you understand the memory resources consumed by each pod and identify any pods that are nearing their quota.\r\n\r\n8. Storage - Nodes: This section displays the storage usage for each node, helping you understand the extent of storage resource usage and identify nodes that might be running out of storage. This includes metrics for disk capacity, disk I/O utilization, and disk I/O read/write operations.\r\n\r\n9. Network - Nodes: This section presents the network usage for each node, helping you understand the extent of network resource usage and identify nodes that might be experiencing high network traffic. This includes metrics for network transmitted and dropped packets.\r\n\r\n10. Network I/O - Pods: This section displays the network input/output for each pod, helping you understand the extent of network traffic generated or consumed by each pod. This includes metrics for network transmitted and dropped packets.\r\n\r\nThis dashboard provides a comprehensive view of your cluster's performance and resource utilization, making it easier to monitor and troubleshoot issues. To visualize all the panels present in the dashboard, it's crucial to use the Node Exporter, as it provides the necessary metrics for monitoring and troubleshooting.","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-05-27T07:24:56.000Z","updatedAt":"2024-05-27T07:29:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21140"},{"rel":"revisions","href":"/dashboards/21140/revisions"},{"rel":"revision","href":"/dashboards/21140/revisions/1"},{"rel":"download","href":"/dashboards/21140/revisions/1/download"},{"rel":"org","href":"/orgs/d19akash"},{"rel":"images","href":"/dashboards/21140/images"},{"rel":"thumbnails","href":"/dashboards/21140/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12033,"status":1,"statusCode":"active","orgId":366250,"orgSlug":"otterley","orgName":"otterley","slug":"linux-nf-conntrack","downloads":53919,"revisionId":17125,"revision":1,"name":"Linux nf_conntrack","description":"Displays nf_conntrack statistics for Linux hosts.  Useful for Kubernetes nodes.  Requires node_exporter be run on each node in the cluster.","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"conntrack","datasource":"Prometheus","privacy":"public","createdAt":"2020-04-06T03:47:45.000Z","updatedAt":"2020-04-06T03:49:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12033"},{"rel":"revisions","href":"/dashboards/12033/revisions"},{"rel":"revision","href":"/dashboards/12033/revisions/1"},{"rel":"download","href":"/dashboards/12033/revisions/1/download"},{"rel":"org","href":"/orgs/otterley"},{"rel":"images","href":"/dashboards/12033/images"},{"rel":"thumbnails","href":"/dashboards/12033/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9363,"status":1,"statusCode":"active","orgId":219582,"orgSlug":"fredjupp","orgName":"fredjupp","slug":"linux-nmon-report","downloads":1007,"revisionId":12951,"revision":1,"name":"LINUX NMON Report","description":"Dashboard to display data collected by nmon (http://nmon.sourceforge.net) . Datasource is influxdb. Data should be loaded to influxdb by nmon2influxdb(https://nmon2influxdb.org)","readme":"The dashboard contains graphs for cpu, memory, disc and memory utiilization as gauges followed by total graps for these metrics.\r\nData collector is the famous **[nmon](http://nmon.sourceforge.net)** tool, whose data was imported to influxdb by **[nmon2influxdb]( https://nmon2influxdb.org)** tool, which is a really great help.\r\n\r\nAny comments are welcome","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-12-05T09:32:44.000Z","updatedAt":"2018-12-05T09:48:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9363"},{"rel":"revisions","href":"/dashboards/9363/revisions"},{"rel":"revision","href":"/dashboards/9363/revisions/1"},{"rel":"download","href":"/dashboards/9363/revisions/1/download"},{"rel":"org","href":"/orgs/fredjupp"},{"rel":"images","href":"/dashboards/9363/images"},{"rel":"thumbnails","href":"/dashboards/9363/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":6891,"status":1,"statusCode":"active","orgId":165546,"orgSlug":"kekio","orgName":"kekio","slug":"linux-nodes","downloads":570,"revisionId":9393,"revision":1,"name":"Linux nodes","description":"Version of 6543 by debas / Please go there!","readme":"Version of 6543 by debas / Please go there!","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-09T08:18:08.000Z","updatedAt":"2018-07-09T08:18:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6891"},{"rel":"revisions","href":"/dashboards/6891/revisions"},{"rel":"revision","href":"/dashboards/6891/revisions/1"},{"rel":"download","href":"/dashboards/6891/revisions/1/download"},{"rel":"org","href":"/orgs/kekio"},{"rel":"images","href":"/dashboards/6891/images"},{"rel":"thumbnails","href":"/dashboards/6891/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8310,"status":1,"statusCode":"active","orgId":186093,"orgSlug":"cancellara","orgName":"cancellara","slug":"alerts-linux-nodes","downloads":578,"revisionId":11391,"revision":1,"name":"Linux Nodes","description":"分平台监控。","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-10-11T08:23:16.000Z","updatedAt":"2018-10-11T08:25:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8310"},{"rel":"revisions","href":"/dashboards/8310/revisions"},{"rel":"revision","href":"/dashboards/8310/revisions/1"},{"rel":"download","href":"/dashboards/8310/revisions/1/download"},{"rel":"org","href":"/orgs/cancellara"},{"rel":"images","href":"/dashboards/8310/images"},{"rel":"thumbnails","href":"/dashboards/8310/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10027,"status":1,"statusCode":"active","orgId":245729,"orgSlug":"dwaynem","orgName":"dwaynem","slug":"linux-os-breakdown-dev-and-prod","downloads":453,"revisionId":14024,"revision":1,"name":"Linux OS Breakdown (DEV and PROD)","description":"Nice capture of your Linux Estate","readme":"You will need two SQL Databases (one called LinuxDEV and one called LinuxPROD).   the Tables in each DB will need all OS Information (ex. Kernel, OS Versions. Hostname) to it can be pulled from SQL and put into PIE. ","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2019-04-11T15:38:52.000Z","updatedAt":"2019-04-11T15:46:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10027"},{"rel":"revisions","href":"/dashboards/10027/revisions"},{"rel":"revision","href":"/dashboards/10027/revisions/1"},{"rel":"download","href":"/dashboards/10027/revisions/1/download"},{"rel":"org","href":"/orgs/dwaynem"},{"rel":"images","href":"/dashboards/10027/images"},{"rel":"thumbnails","href":"/dashboards/10027/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":12201,"status":1,"statusCode":"active","orgId":290672,"orgSlug":"escanoru","orgName":"Yivolve","slug":"linux-os-processes-metrics","downloads":1492,"revisionId":17541,"revision":3,"name":"Linux OS Processes Metrics","description":"Displays the aggregated % CPU usage, memory and threads from processes running on Linux OS","readme":"# Descripton\nDisplays the aggregated % CPU usage, memory and threads from processes running on Linux OS\n\nAppend the section below to your telegraf.conf\n\n```sh\n[[inputs.procstat]]\n  exe = \".\"\n  pid_tag = true\n\n```","collectorType":"Telegraf","collectorConfig":"","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-04-29T20:11:04.000Z","updatedAt":"2020-05-14T02:08:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/12201"},{"rel":"revisions","href":"/dashboards/12201/revisions"},{"rel":"revision","href":"/dashboards/12201/revisions/3"},{"rel":"download","href":"/dashboards/12201/revisions/3/download"},{"rel":"org","href":"/orgs/escanoru"},{"rel":"images","href":"/dashboards/12201/images"},{"rel":"thumbnails","href":"/dashboards/12201/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16502,"status":1,"statusCode":"active","orgId":669105,"orgSlug":"bd353533004","orgName":"zhuangjiajun","slug":"open-falcon-dashboard","downloads":453,"revisionId":25176,"revision":1,"name":"Linux Overview With Open-Falcon","description":"Linux Overview With Open-Falcon，\r\nMetrics Include\r\n- Cpu \r\n- Load \r\n- Memory \r\n- Disk \r\n- Network \r\n- Fd","readme":"### Open-Falcon-Agent ---> Open-Falcon ---> grafana\r\n\r\n#### Include metric\r\n\r\n- Cpu\r\n- Load\r\n- Memory\r\n- Disk\r\n- Network\r\n- Fd\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Open-Falcon","privacy":"public","createdAt":"2022-06-24T02:56:20.000Z","updatedAt":"2022-06-24T03:26:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16502"},{"rel":"revisions","href":"/dashboards/16502/revisions"},{"rel":"revision","href":"/dashboards/16502/revisions/1"},{"rel":"download","href":"/dashboards/16502/revisions/1/download"},{"rel":"org","href":"/orgs/bd353533004"},{"rel":"images","href":"/dashboards/16502/images"},{"rel":"thumbnails","href":"/dashboards/16502/thumbnails"}],"datasourceSlugs":["fastweb-openfalcon-datasource"]},{"id":16499,"status":1,"statusCode":"active","orgId":669105,"orgSlug":"bd353533004","orgName":"zhuangjiajun","slug":"linux-overview-with-telegraf","downloads":450,"revisionId":25217,"revision":3,"name":"Linux Overview With Telegraf","description":"Metric view designed for a single system since some graphs overlay multiple queries.","readme":"### telegraf --->  n9e server ---> prometheus ---> grafana\r\n\r\n#### Include metric \r\n- Cpu\r\n- Load\r\n- Memory\r\n- Disk\r\n- Network\r\n- Fd\r\n- Process\r\n- Tcp Status","collectorType":"Telegraf","collectorConfig":"## telegraf.conf\r\n```yaml\r\n[global_tags]\r\n\r\n[agent]\r\n  interval = \"10s\"\r\n  round_interval = true\r\n  metric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"10s\"\r\n  flush_jitter = \"0s\"\r\n  precision = \"\"\r\n  hostname = \"your ip address or endpoint name\"\r\n  omit_hostname = false\r\n  logfile = \"/data/apps/telegraf/var/log/telegraf/telegraf.log\"\r\n\r\n[[outputs.opentsdb]]\r\n  host = \"http://10.0.40.128\" # n9e-server \r\n  port = 19000\r\n  http_batch_size = 50\r\n  http_path = \"/opentsdb/put\"\r\n  debug = false\r\n  separator = \"_\"\r\n\r\n[[inputs.cpu]]\r\n  percpu = true\r\n  totalcpu = true\r\n  collect_cpu_time = false\r\n  report_active = true\r\n\r\n[[inputs.disk]]\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\r\n\r\n[[inputs.diskio]]\r\n\r\n[[inputs.kernel]]\r\n\r\n[[inputs.mem]]\r\n\r\n[[inputs.processes]]\r\n\r\n[[inputs.system]]\r\n  fielddrop = [\"uptime_format\"]\r\n\r\n[[inputs.net]]\r\n  ignore_protocol_stats = true\r\n\r\n[[inputs.linux_sysctl_fs]]\r\n\r\n[[inputs.netstat]]\r\n```\r\n","collectorPluginList":"system","datasource":"Prometheus","privacy":"public","createdAt":"2022-06-24T01:20:40.000Z","updatedAt":"2022-06-30T05:18:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16499"},{"rel":"revisions","href":"/dashboards/16499/revisions"},{"rel":"revision","href":"/dashboards/16499/revisions/3"},{"rel":"download","href":"/dashboards/16499/revisions/3/download"},{"rel":"org","href":"/orgs/bd353533004"},{"rel":"images","href":"/dashboards/16499/images"},{"rel":"thumbnails","href":"/dashboards/16499/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20317,"status":1,"statusCode":"active","orgId":1030923,"orgSlug":"fadharpra","orgName":"fadharpra","slug":"linux-procstat-monitoring","downloads":633,"revisionId":31359,"revision":3,"name":"Linux Procstat Monitoring","description":"Displays detailed information about processes as identified by their pid arguments. View usage of VMS, RSS, CPU by process name and pid on Linux System.","readme":"View usage of VMS, RSS, CPU by process name and pid on Linux System. \r\nThis dashboard also monitoring system; Uptime, CPU Usage, Memory Usage, Swap Usage, RootFS Usage, I/O Wait.  \r\n\r\nYou need install **InfluxDB OSS/v1** because this dashboard using InfluxQL.  \r\n\r\nYou can using [my blog website](https://fadharpra.id/blog/how-to/monitoring-linux-process-menggunakan-telegraf-dan-influxdb) for guide (**Indonesian Version**).  \r\n\r\n\r\n","collectorType":"Telegraf","collectorConfig":"Please change \"database\", \"username\", and \"password on **[[outputs.influxdb]]**.  \r\n\r\n```\r\n[agent]\r\n  interval = \"10s\"\r\n  round_interval = true\r\n  metric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"10s\"\r\n  flush_jitter = \"0s\"\r\n  precision = \"\"\r\n  hostname = \"\"\r\n  omit_hostname = false\r\n\r\n[[outputs.influxdb]]\r\n  # Your IP Address of InfluxDB\r\n  urls = [\"http://IP_ADDRESS:8086\"]\r\n  database = \"database\"\r\n  username = \"username\"\r\n  password = \"password\"\r\n\r\n## INPUT\r\n [[inputs.procstat]]\r\n   ## pattern as argument for pgrep (ie, pgrep -f )\r\n   pattern = \"httpd|java|python|telegraf|docker|grafana|prometheus\"\r\n   ## user as argument for pgrep (ie, pgrep -u )\r\n   user = \"daemon|root|grafana|influxdb\"\r\n   pid_tag = true\r\n# Read metrics about cpu usage\r\n[[inputs.cpu]]\r\n  ## Whether to report per-cpu stats or not\r\n  percpu = true\r\n  ## Whether to report total system cpu stats or not\r\n  totalcpu = true\r\n  ## Comment this line if you want the raw CPU time metrics\r\n  fielddrop = [\"time_*\"]\r\n# Read metrics about disk IO by device\r\n[[inputs.diskio]]\r\n  ## By default, telegraf will gather stats for all devices including\r\n  ## disk partitions.\r\n  ## Setting devices will restrict the stats to the specified devices.\r\n  # devices = [\"sda\", \"sdb\"]\r\n  ## Uncomment the following line if you need disk serial numbers.\r\n  # skip_serial_number = false\r\n# Read metrics about memory usage\r\n[[inputs.mem]]\r\n  # no configuration\r\n# Get the number of processes and group them by status\r\n[[inputs.processes]]\r\n  # no configuration\r\n# Read metrics about swap memory usage\r\n[[inputs.swap]]\r\n  # no configuration\r\n# Read metrics about system load & uptime\r\n[[inputs.system]]\r\n  # no configuration\r\n```","collectorPluginList":"procstat, system, Other","datasource":"InfluxDB","privacy":"public","createdAt":"2024-01-17T06:52:52.000Z","updatedAt":"2024-03-17T13:25:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20317"},{"rel":"revisions","href":"/dashboards/20317/revisions"},{"rel":"revision","href":"/dashboards/20317/revisions/3"},{"rel":"download","href":"/dashboards/20317/revisions/3/download"},{"rel":"org","href":"/orgs/fadharpra"},{"rel":"images","href":"/dashboards/20317/images"},{"rel":"thumbnails","href":"/dashboards/20317/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11846,"status":1,"statusCode":"active","orgId":354667,"orgSlug":"manjeshreddy","orgName":"manjeshreddy","slug":"master-server-dashboard","downloads":696,"revisionId":16814,"revision":1,"name":"Linux Server Dashboard","description":"InfluxDB dashboards for telegraf metrics","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB, Graphite","privacy":"public","createdAt":"2020-03-04T04:38:21.000Z","updatedAt":"2020-03-04T04:52:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11846"},{"rel":"revisions","href":"/dashboards/11846/revisions"},{"rel":"revision","href":"/dashboards/11846/revisions/1"},{"rel":"download","href":"/dashboards/11846/revisions/1/download"},{"rel":"org","href":"/orgs/manjeshreddy"},{"rel":"images","href":"/dashboards/11846/images"},{"rel":"thumbnails","href":"/dashboards/11846/thumbnails"}],"datasourceSlugs":["graphite","influxdb"]},{"id":11947,"status":1,"statusCode":"active","orgId":107170,"orgSlug":"indigo423","orgName":"opennms-community","slug":"linux-server-heatmap","downloads":662,"revisionId":32867,"revision":4,"name":"Linux Server Heatmap","description":"Heatmap for Linux server based on SNMP collected with OpenNMS. The heatmap uses Load 5 min. average and normalized using the CPU number count. Memory, CPU, and Disk load 5 min. average in %.","readme":"Heatmap for Linux server based on SNMP collected with OpenNMS and the OpenNMS Helm plugin. The heatmap uses Load 5 min. average and normalized using the CPU number count. Memory, CPU, and Disk load 5 min. average in %.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"OpenNMS Performance","privacy":"public","createdAt":"2020-03-18T16:35:22.000Z","updatedAt":"2024-05-23T19:16:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11947"},{"rel":"revisions","href":"/dashboards/11947/revisions"},{"rel":"revision","href":"/dashboards/11947/revisions/4"},{"rel":"download","href":"/dashboards/11947/revisions/4/download"},{"rel":"org","href":"/orgs/indigo423"},{"rel":"images","href":"/dashboards/11947/images"},{"rel":"thumbnails","href":"/dashboards/11947/thumbnails"}],"datasourceSlugs":["opennms-performance-datasource"]},{"id":19937,"status":1,"statusCode":"active","orgId":973399,"orgSlug":"jantrachsler","orgName":"Fury Code","slug":"linux-server-overview","downloads":946,"revisionId":34039,"revision":8,"name":"Linux Server Overview","description":"Linux Server Overview","readme":"# Monitor Linux Server with Prometheus and Grafana\r\nOnce you import the Linux Server Overview Dashboard, it should appear as shown (please note that some data has been blacked out in the images for privacy reasons).\r\nIn this dashboard, you can see the current metrics of your Linux server:\r\n\r\n- Ping (Is the server up?)\r\n- Up (Since when has the server been running?)\r\n- CPU Used (How much of the CPU is currently used in percent)\r\n- CPUs (How many CPUs does your server have?)\r\n- Memory Used (How much memory is used in percent)\r\n- Memory Free (How much memory is free in bytes)\r\n- Storage Space Used (How much storage is used in percent)\r\n- Storage Space Free (How much storage is free in bytes)\r\n\r\nYou can also see how some metrics have changed over time:\r\n- CPU Load (How has the CPU load changed over time?)\r\n- Memory (How has the free memory changed over time?)\r\n- Disk Free (How has the free disk space changed over time?)\r\n\r\nYou can find more information here: [Git](https://github.com/fury-code/monitoring/tree/main/linux)","collectorType":"nodeExporter","collectorConfig":"To collect the data displayed in the dashboard, we utilized the Prometheus node_exporter. You can find more information about the node_exporter: https://github.com/prometheus/node_exporter","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-09T08:21:42.000Z","updatedAt":"2024-08-22T06:40:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19937"},{"rel":"revisions","href":"/dashboards/19937/revisions"},{"rel":"revision","href":"/dashboards/19937/revisions/8"},{"rel":"download","href":"/dashboards/19937/revisions/8/download"},{"rel":"org","href":"/orgs/jantrachsler"},{"rel":"images","href":"/dashboards/19937/images"},{"rel":"thumbnails","href":"/dashboards/19937/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19690,"status":1,"statusCode":"active","orgId":59972,"orgSlug":"fadjar340","orgName":"Fadjar Tandabawana","slug":"linux-server-status","downloads":603,"revisionId":30210,"revision":1,"name":"Linux Server Status","description":"Linux server status using Prometheus","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-10-02T14:58:24.000Z","updatedAt":"2023-10-02T15:00:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19690"},{"rel":"revisions","href":"/dashboards/19690/revisions"},{"rel":"revision","href":"/dashboards/19690/revisions/1"},{"rel":"download","href":"/dashboards/19690/revisions/1/download"},{"rel":"org","href":"/orgs/fadjar340"},{"rel":"images","href":"/dashboards/19690/images"},{"rel":"thumbnails","href":"/dashboards/19690/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19973,"status":1,"statusCode":"active","orgId":973399,"orgSlug":"jantrachsler","orgName":"Fury Code","slug":"linux-server-summary","downloads":644,"revisionId":34040,"revision":4,"name":"Linux Server Summary","description":"","readme":"Once you import the Linux Server Summary Dashboard, it should appear as shown (please note that some data has been blacked out in the images for privacy reasons). In this dashboard, you can see a summary of the following metrics of your Linux server:\r\n- Linux Versions (Shows the number of Linux servers you have and their respective distributions)\r\n- Host (Displays the hostname of the server)\r\n- CPU Load (Indicates the CPU usage as a percentage of the server)\r\n- RAM (Reflects the RAM usage as a percentage of the server)\r\n- Storage (Illustrates the used storage as a percentage of the server)\r\n\r\nYou can find more information here: [Git](https://github.com/fury-code/monitoring/tree/main/linux)","collectorType":"nodeExporter","collectorConfig":"To collect the data displayed in the dashboard, we utilized the Prometheus node_exporter. You can find more information about the node_exporter: https://github.com/prometheus/node_exporter","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-13T10:18:58.000Z","updatedAt":"2024-08-22T06:40:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19973"},{"rel":"revisions","href":"/dashboards/19973/revisions"},{"rel":"revision","href":"/dashboards/19973/revisions/4"},{"rel":"download","href":"/dashboards/19973/revisions/4/download"},{"rel":"org","href":"/orgs/jantrachsler"},{"rel":"images","href":"/dashboards/19973/images"},{"rel":"thumbnails","href":"/dashboards/19973/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7675,"status":1,"statusCode":"active","orgId":183136,"orgSlug":"spagno","orgName":"spagno","slug":"linux-servers","downloads":3700,"revisionId":10453,"revision":1,"name":"Linux Servers","description":"Prometheus for system metrics. \r\nLoad, CPU, RAM, network, process ... ","readme":"https://snapshot.raintank.io/dashboard/snapshot/GWaImDkUd0D22aBdXE7Q5zU08oE2kDYf","collectorType":"nodeExporter","collectorConfig":"nodeExporter 0.16","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-08-27T02:58:55.000Z","updatedAt":"2018-08-27T03:07:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/7675"},{"rel":"revisions","href":"/dashboards/7675/revisions"},{"rel":"revision","href":"/dashboards/7675/revisions/1"},{"rel":"download","href":"/dashboards/7675/revisions/1/download"},{"rel":"org","href":"/orgs/spagno"},{"rel":"images","href":"/dashboards/7675/images"},{"rel":"thumbnails","href":"/dashboards/7675/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22573,"status":1,"statusCode":"active","orgId":1308466,"orgSlug":"ibtyhattab","orgName":"ibtyhattab","slug":"linux-servers","downloads":270,"revisionId":35571,"revision":1,"name":"Linux Servers","description":"Prometheus for system metrics. \r\nLoad, CPU, RAM, network, process ... 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dados.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2018-05-11T19:17:59.000Z","updatedAt":"2018-05-11T19:19:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6045"},{"rel":"revisions","href":"/dashboards/6045/revisions"},{"rel":"revision","href":"/dashboards/6045/revisions/1"},{"rel":"download","href":"/dashboards/6045/revisions/1/download"},{"rel":"org","href":"/orgs/luizep"},{"rel":"images","href":"/dashboards/6045/images"},{"rel":"thumbnails","href":"/dashboards/6045/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":18657,"status":1,"statusCode":"active","orgId":59972,"orgSlug":"fadjar340","orgName":"Fadjar Tandabawana","slug":"production-servers-status","downloads":675,"revisionId":28596,"revision":1,"name":"Linux Servers Status Summary","description":"Linux Node server summary using ELK","readme":"This dashboard to bring summary of Linux Nodes using ELK Stack.\r\nGrafana 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security metrics, and fleet health.","readme":"Check github repo for install and setup https://github.com/Unknowlars/Grafana-alloy-bootstrap/tree/main/alloy-bootstrap/templates/packs/80-software-inventory","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-02-12T21:19:16.000Z","updatedAt":"2026-02-14T12:44:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24864"},{"rel":"revisions","href":"/dashboards/24864/revisions"},{"rel":"revision","href":"/dashboards/24864/revisions/1"},{"rel":"download","href":"/dashboards/24864/revisions/1/download"},{"rel":"org","href":"/orgs/appletimedk"},{"rel":"images","href":"/dashboards/24864/images"},{"rel":"thumbnails","href":"/dashboards/24864/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12752,"status":1,"statusCode":"active","orgId":60992,"orgSlug":"itboffin","orgName":"Stephen 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metrics","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-08-03T09:49:34.000Z","updatedAt":"2020-08-03T09:49:55.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12752"},{"rel":"revisions","href":"/dashboards/12752/revisions"},{"rel":"revision","href":"/dashboards/12752/revisions/1"},{"rel":"download","href":"/dashboards/12752/revisions/1/download"},{"rel":"org","href":"/orgs/itboffin"},{"rel":"images","href":"/dashboards/12752/images"},{"rel":"thumbnails","href":"/dashboards/12752/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21800,"status":1,"statusCode":"active","orgId":656432,"orgSlug":"leohoster","orgName":"leohoster","slug":"linux-system","downloads":499,"revisionId":34110,"revision":1,"name":"Linux System","description":"Linux system","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-08-31T14:29:25.000Z","updatedAt":"2024-09-01T05:15:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21800"},{"rel":"revisions","href":"/dashboards/21800/revisions"},{"rel":"revision","href":"/dashboards/21800/revisions/1"},{"rel":"download","href":"/dashboards/21800/revisions/1/download"},{"rel":"org","href":"/orgs/leohoster"},{"rel":"images","href":"/dashboards/21800/images"},{"rel":"thumbnails","href":"/dashboards/21800/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17246,"status":1,"statusCode":"active","orgId":730853,"orgSlug":"samuelbarata","orgName":"samuelbarata","slug":"system-dashboard","downloads":537,"revisionId":26503,"revision":1,"name":"Linux System Dashboard","description":"InfluxDB dashboards for telegraf metrics","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-10-22T14:18:30.000Z","updatedAt":"2022-10-22T14:27:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17246"},{"rel":"revisions","href":"/dashboards/17246/revisions"},{"rel":"revision","href":"/dashboards/17246/revisions/1"},{"rel":"download","href":"/dashboards/17246/revisions/1/download"},{"rel":"org","href":"/orgs/samuelbarata"},{"rel":"images","href":"/dashboards/17246/images"},{"rel":"thumbnails","href":"/dashboards/17246/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":2381,"status":1,"statusCode":"active","orgId":65042,"orgSlug":"orion203","orgName":"orion203","slug":"olympus","downloads":7635,"revisionId":3158,"revision":1,"name":"Linux System Overview","description":"This Dashboard provides a general overview of a Linux system, with templating to host and Interval","readme":"","collectorType":"Telegraf","collectorConfig":"```ini\r\n[[inputs.cpu]]  \r\n  percpu = true\r\n  totalcpu = true\r\n  collect_cpu_time = false\r\n\r\n[[inputs.disk]]\r\n  mount_points = [\"/\"]\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\"]\r\n\r\n\r\n[[inputs.diskio]]\r\n  devices = [\"sda\"]\r\n\r\n[[inputs.kernel]]\r\n\r\n[[inputs.mem]]\r\n\r\n[[inputs.processes]]\r\n\r\n[[inputs.swap]]\r\n\r\n[[inputs.system]]\r\n\r\n[[inputs.net]]\r\n interfaces = [\"eth0\"]\r\n\r\n[[inputs.netstat]]\r\n```\r\n\r\n\r\n\r\n\r\n","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-06-03T12:27:26.000Z","updatedAt":"2023-01-12T07:04:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/2381"},{"rel":"revisions","href":"/dashboards/2381/revisions"},{"rel":"revision","href":"/dashboards/2381/revisions/1"},{"rel":"download","href":"/dashboards/2381/revisions/1/download"},{"rel":"org","href":"/orgs/orion203"},{"rel":"images","href":"/dashboards/2381/images"},{"rel":"thumbnails","href":"/dashboards/2381/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22066,"status":1,"statusCode":"active","orgId":1244189,"orgSlug":"elhackernet","orgName":"elhackernet","slug":"status-elhacker-net","downloads":1007,"revisionId":34596,"revision":1,"name":"Linux System Overview","description":"Monitorize Linux machine with Node Exporter Full","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-10-11T07:10:33.000Z","updatedAt":"2024-10-11T18:52:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22066"},{"rel":"revisions","href":"/dashboards/22066/revisions"},{"rel":"revision","href":"/dashboards/22066/revisions/1"},{"rel":"download","href":"/dashboards/22066/revisions/1/download"},{"rel":"org","href":"/orgs/elhackernet"},{"rel":"images","href":"/dashboards/22066/images"},{"rel":"thumbnails","href":"/dashboards/22066/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17851,"status":1,"statusCode":"active","orgId":65042,"orgSlug":"orion203","orgName":"orion203","slug":"systemv","downloads":480,"revisionId":27408,"revision":2,"name":"Linux System Overview - Flux","description":"It is a dashboard of linux system overview. \r\nIt use a influxdb with the Flux","readme":"It is a dashboard of linux system overview. It use a influxdb with the Flux\r\n","collectorType":"Telegraf","collectorConfig":"[global_tags]\r\n[agent]\r\n  interval = \"10s\"\r\n  round_interval = true\r\n  metric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"10s\"\r\n  flush_jitter = \"0s\"\r\n  precision = \"0s\"\r\n  hostname = \"\"\r\n  omit_hostname = false\r\n[[outputs.influxdb_v2]]\r\n    urls = [\"http://127.0.0.1:8086\"]\r\n    token = asdlfjkljaklsd9087aklsdjf\r\n    organization = \"Systemv\"\r\n    bucket = \"systemv\"\r\n    user_agent = \"telegraf\"\r\n[[inputs.cpu]]\r\n  percpu = true\r\n  totalcpu = true\r\n  collect_cpu_time = false\r\n  report_active = false\r\n  core_tags = false\r\n[[inputs.disk]]\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\r\n[[inputs.diskio]]\r\n  devices = [\"sda\"]\r\n[[inputs.kernel]]\r\n[[inputs.mem]]\r\n[[inputs.processes]]\r\n[[inputs.swap]]\r\n[[inputs.system]]\r\n[[inputs.bind]]\r\n    urls = [\"http://localhost:8053/xml/v3\"]\r\n    gather_memory_contexts = true\r\n    gather_views = true\r\n    timeout = \"4s\"\r\n[[inputs.net]]\r\n    interfaces = [\"eth0\"]\r\n[[inputs.netstat]]","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-01-11T02:21:14.000Z","updatedAt":"2023-11-02T09:27:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17851"},{"rel":"revisions","href":"/dashboards/17851/revisions"},{"rel":"revision","href":"/dashboards/17851/revisions/2"},{"rel":"download","href":"/dashboards/17851/revisions/2/download"},{"rel":"org","href":"/orgs/orion203"},{"rel":"images","href":"/dashboards/17851/images"},{"rel":"thumbnails","href":"/dashboards/17851/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":4220,"status":1,"statusCode":"active","orgId":108935,"orgSlug":"jailman","orgName":"jailman","slug":"linux-system-overview","downloads":1483,"revisionId":5684,"revision":1,"name":"Linux System Overview-adv","description":"This Dashboard provides a general overview of a Linux system, with templating to host and Interval","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-01-02T08:37:58.000Z","updatedAt":"2018-01-02T08:40:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4220"},{"rel":"revisions","href":"/dashboards/4220/revisions"},{"rel":"revision","href":"/dashboards/4220/revisions/1"},{"rel":"download","href":"/dashboards/4220/revisions/1/download"},{"rel":"org","href":"/orgs/jailman"},{"rel":"images","href":"/dashboards/4220/images"},{"rel":"thumbnails","href":"/dashboards/4220/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22007,"status":1,"statusCode":"active","orgId":816889,"orgSlug":"vincentgou1","orgName":"vincent-gou","slug":"systems-overview","downloads":389,"revisionId":34478,"revision":1,"name":"Linux Systems Overview","description":"Linux system metrics overview with Top 5 performance metrics to watch.\r\nNeed to add these to be able to visualize data storage trend:\r\n\r\nGF_FEATURE_TOGGLES_ENABLE=regressionTransformation\r\nGF_FEATURE_MANAGEMENT_ALLOW_EDITING=true\r\n\r\n","readme":"","collectorType":"Telegraf","collectorConfig":"```\r\n# Read metrics about cpu usage\r\n[[inputs.cpu]]\r\n  #name_override = \"ws_cpu\"\r\n#  interval = \"10ms\"\r\n  interval = \"5s\"\r\n  ## Whether to report per-cpu stats or not\r\n  percpu = true\r\n  ## Whether to report total system cpu stats or not\r\n  totalcpu = true\r\n  ## If true, collect raw CPU time metrics\r\n  collect_cpu_time = false\r\n  ## If true, compute and report the sum of all non-idle CPU states\r\n  report_active = false\r\n  ## If true and the info is available then add core_id and physical_id tags\r\n  core_tags = false\r\n  [inputs.cpu.tags]\r\n    output = \"influxdb\"\r\n[[inputs.processes]]\r\n  interval = \"30s\"\r\n  [inputs.processes.tags]\r\n    output = \"influxdb\"\r\n[[inputs.swap]]\r\n  interval = \"30s\"\r\n  [inputs.swap.tags]\r\n    output = \"influxdb\"\r\n[[inputs.system]]\r\n  interval = \"30s\"\r\n  [inputs.system.tags]\r\n    output = \"influxdb\"\r\n[[inputs.mem]]\r\n  interval = \"30s\"\r\n  [inputs.mem.tags]\r\n    output = \"influxdb\"\r\n[[inputs.net]]\r\n  ## By default, telegraf gathers stats from any up interface (excluding loopback)\r\n  ## Setting interfaces will tell it to gather these explicit interfaces,\r\n  ## regardless of status.\r\n  ##\r\n  interfaces = [\"eth0\"]\r\n  ##\r\n  ## On linux systems telegraf also collects protocol stats.\r\n  ## Setting ignore_protocol_stats to true will skip reporting of protocol metrics.\r\n  ##\r\n  # ignore_protocol_stats = false\r\n  ##\r\n  [inputs.net.tags]\r\n    output = \"influxdb\"\r\n[[inputs.disk]]\r\n  interval = \"30s\"\r\n  ## By default stats will be gathered for all mount points.\r\n  ## Set mount_points will restrict the stats to only the specified mount points.\r\n  # mount_points = [\"/\"]\r\n  ## Ignore mount points by filesystem type.\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\r\n  [inputs.disk.tags]\r\n    output = \"influxdb\"\r\n[[inputs.diskio]]\r\n  ## By default, telegraf will gather stats for all devices including\r\n  ## disk partitions.\r\n  ## Setting devices will restrict the stats to the specified devices.\r\n  # devices = [\"sda\", \"sdb\", \"vd*\"]\r\n  devices = [\"vd*\"]\r\n  ## Uncomment the following line if you need disk serial numbers.\r\n  # skip_serial_number = false\r\n  #\r\n  ## On systems which support it, device metadata can be added in the form of\r\n  ## tags.\r\n  ## Currently only Linux is supported via udev properties. You can view\r\n  ## available properties for a device by running:\r\n  ## 'udevadm info -q property -n /dev/sda'\r\n  ## Note: Most, but not all, udev properties can be accessed this way. Properties\r\n  ## that are currently inaccessible include DEVTYPE, DEVNAME, and DEVPATH.\r\n  # device_tags = [\"ID_FS_TYPE\", \"ID_FS_USAGE\"]\r\n  #\r\n  ## Using the same metadata source as device_tags, you can also customize the\r\n  ## name of the device via templates.\r\n  ## The 'name_templates' parameter is a list of templates to try and apply to\r\n  ## the device. The template may contain variables in the form of '$PROPERTY' or\r\n  ## '${PROPERTY}'. The first template which does not contain any variables not\r\n  ## present for the device is used as the device name tag.\r\n  ## The typical use case is for LVM volumes, to get the VG/LV name instead of\r\n  ## the near-meaningless DM-0 name.\r\n  # name_templates = [\"$ID_FS_LABEL\",\"$DM_VG_NAME/$DM_LV_NAME\"]\r\n  [inputs.diskio.tags]\r\n    output = \"influxdb\"\r\n[[inputs.procstat]]\r\n  interval = \"30s\"\r\n  pattern = \".\"\r\n  pid_tag = true\r\n  pid_finder = \"native\"\r\n  # see: https://github.com/influxdata/telegraf/blob/1.7.0/docs/CONFIGURATION.md#measurement-filtering\r\n  fieldpass = [\r\n      \"cpu_time_user\",\r\n      \"cpu_usage\",\r\n      \"memory_rss\",\r\n  ]\r\n   [inputs.procstat.tags]\r\n     output = \"influxdb_processes\"\r\n# Pulls statistics from nvidia GPUs attached to the host\r\n[[inputs.nvidia_smi]]\r\n  interval = \"15s\"\r\n  ## Optional: path to nvidia-smi binary, defaults \"/usr/bin/nvidia-smi\"\r\n  ## We will first try to locate the nvidia-smi binary with the explicitly specified value (or default value),\r\n  ## if it is not found, we will try to locate it on PATH(exec.LookPath), if it is still not found, an error will be returned\r\n  # bin_path = \"/usr/bin/nvidia-smi\"\r\n\r\n  ## Optional: timeout for GPU polling\r\n  timeout = \"5s\"\r\n  [inputs.nvidia_smi.tags]\r\n    output = \"influxdb\"\r\n```","collectorPluginList":"procstat, disque","datasource":"InfluxDB","privacy":"public","createdAt":"2024-10-02T10:56:25.000Z","updatedAt":"2024-10-02T11:11:31.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22007"},{"rel":"revisions","href":"/dashboards/22007/revisions"},{"rel":"revision","href":"/dashboards/22007/revisions/1"},{"rel":"download","href":"/dashboards/22007/revisions/1/download"},{"rel":"org","href":"/orgs/vincentgou1"},{"rel":"images","href":"/dashboards/22007/images"},{"rel":"thumbnails","href":"/dashboards/22007/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24405,"status":1,"statusCode":"active","orgId":1591887,"orgSlug":"pearl4003","orgName":"pearl4003","slug":"linux-telegraf-overview","downloads":69,"revisionId":39054,"revision":3,"name":"Linux telegraf Overview","description":"","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2025-11-17T16:12:50.000Z","updatedAt":"2025-11-18T08:29:31.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24405"},{"rel":"revisions","href":"/dashboards/24405/revisions"},{"rel":"revision","href":"/dashboards/24405/revisions/3"},{"rel":"download","href":"/dashboards/24405/revisions/3/download"},{"rel":"org","href":"/orgs/pearl4003"},{"rel":"images","href":"/dashboards/24405/images"},{"rel":"thumbnails","href":"/dashboards/24405/thumbnails"}]},{"id":10938,"status":1,"statusCode":"active","orgId":131525,"orgSlug":"januszk84","orgName":"Janusz Kujawa","slug":"linux-x86","downloads":570,"revisionId":15280,"revision":1,"name":"LINUX x86","description":"Dashboard with Njmon trends. I'm using InfluxDB data source. Graphs has been grouped what makes work easier (Don't need to scroll so much).","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-09-30T17:22:44.000Z","updatedAt":"2019-09-30T17:25:19.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10938"},{"rel":"revisions","href":"/dashboards/10938/revisions"},{"rel":"revision","href":"/dashboards/10938/revisions/1"},{"rel":"download","href":"/dashboards/10938/revisions/1/download"},{"rel":"org","href":"/orgs/januszk84"},{"rel":"images","href":"/dashboards/10938/images"},{"rel":"thumbnails","href":"/dashboards/10938/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18435,"status":1,"statusCode":"active","orgId":829407,"orgSlug":"lotusching","orgName":"lotusching","slug":"linux","downloads":697,"revisionId":28438,"revision":5,"name":"Linux 系统节点状态大盘","description":"包含 cpu、load、net、tcp、disk、diskio","readme":"","collectorType":"nodeExporter","collectorConfig":"","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-04T08:03:28.000Z","updatedAt":"2023-04-18T03:24:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18435"},{"rel":"revisions","href":"/dashboards/18435/revisions"},{"rel":"revision","href":"/dashboards/18435/revisions/5"},{"rel":"download","href":"/dashboards/18435/revisions/5/download"},{"rel":"org","href":"/orgs/lotusching"},{"rel":"images","href":"/dashboards/18435/images"},{"rel":"thumbnails","href":"/dashboards/18435/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10114,"status":1,"statusCode":"active","orgId":248854,"orgSlug":"buptzhoutian","orgName":"buptzhoutian","slug":"linux-nodes","downloads":439,"revisionId":14143,"revision":1,"name":"Linux_Nodes","description":"操作系统级别监控","readme":"参考:  https://github.com/starsliao/Prometheus","collectorType":"nodeExporter","collectorConfig":"extra enabled collectors\r\n - systemd\r\n - processes\r\n - tcpstat\r\n","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-04-29T07:06:31.000Z","updatedAt":"2019-04-29T07:11:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10114"},{"rel":"revisions","href":"/dashboards/10114/revisions"},{"rel":"revision","href":"/dashboards/10114/revisions/1"},{"rel":"download","href":"/dashboards/10114/revisions/1/download"},{"rel":"org","href":"/orgs/buptzhoutian"},{"rel":"images","href":"/dashboards/10114/images"},{"rel":"thumbnails","href":"/dashboards/10114/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23041,"status":1,"statusCode":"active","orgId":1092309,"orgSlug":"mabedfr","orgName":"mabedfr","slug":"machine","downloads":303,"revisionId":36393,"revision":1,"name":"LINUX-MACHINE","description":"Netdata up to 2.2.6\r\nPrometheus 3.2.1\r\nGrafana 11.5.2\r\nMy prom configuration\r\n\r\n  - job_name: 'netdata'\r\n    scrape_interval: 5s\r\n    metrics_path: '/api/v1/allmetrics?format=prometheus&variables=yes'\r\n    scheme: http\r\n    static_configs:\r\n      - targets:\r\n        - 'netdata-xxxxx.exemple.fr'\r\n        - 'netdata-yyyyy.exemple.fr'\r\n        - 'netdata-zzzzz.exemple.fr'","readme":"Netdata up to 2.2.6\r\nPrometheus 3.2.1\r\nGrafana 11.5.2\r\nMy prom configuration\r\n\r\n  - job_name: 'netdata'\r\n    scrape_interval: 5s\r\n    metrics_path: '/api/v1/allmetrics?format=prometheus&variables=yes'\r\n    scheme: http\r\n    static_configs:\r\n      - targets:\r\n        - 'netdata-xxxxx.exemple.fr'\r\n        - 'netdata-yyyyy.exemple.fr'\r\n        - 'netdata-zzzzz.exemple.fr'","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, Prometheus","privacy":"public","createdAt":"2025-03-09T09:37:52.000Z","updatedAt":"2025-03-09T10:22:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23041"},{"rel":"revisions","href":"/dashboards/23041/revisions"},{"rel":"revision","href":"/dashboards/23041/revisions/1"},{"rel":"download","href":"/dashboards/23041/revisions/1/download"},{"rel":"org","href":"/orgs/mabedfr"},{"rel":"images","href":"/dashboards/23041/images"},{"rel":"thumbnails","href":"/dashboards/23041/thumbnails"}],"datasourceSlugs":["__expr__","prometheus"]},{"id":6490,"status":1,"statusCode":"active","orgId":158233,"orgSlug":"xujpxm","orgName":"xujpxm","slug":"linux-node-exporter","downloads":4143,"revisionId":8827,"revision":1,"name":"linux-node-exporter","description":"Prometheus for system metrics. \r\nLoad, CPU, RAM, network, process ... 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Track request latency percentiles (avg, p75/p90/p95/p99), request and token usage by model and by request route, and inspect recent calls with deep links to trace details. Uses template variables for Subscription and Application Insights resource; refreshes every 5m; default time range 7d.","readme":"# LiteLLM\r\n\r\nVisualization for monitoring LiteLLM request latency, usage, tokens, and routes using Azure Monitor (Application Insights) in a single Grafana dashboard.\r\n\r\nThere is a dependant trace detail dashboard (dashboard Id 24064) that will show details for one selected trace.\r\n\r\n## Screenshots\r\n![litellm-usage](https://github.com/1w2w3y/grafana-dashboards/raw/master/litellm-azmon/litellm-usage-2509.png)\r\n![litellm-latency](https://github.com/1w2w3y/grafana-dashboards/raw/master/litellm-azmon/litellm-latency-2509.png)\r\n![litellm-prompt-details](https://github.com/1w2w3y/grafana-dashboards/raw/master/litellm-azmon/litellm-prompt-details-2509.png)\r\n\r\n## Issues and feedback\r\nhttps://github.com/1w2w3y/grafana-dashboards/issues\r\n\r\n## Features\r\n- Latency trend\r\n  - End‑to‑end request latency time series with percentiles: avg, p75, p90, p95, p99.\r\n  - “Latency by model” table shows the same percentiles aggregated by model.\r\n- Usage by model\r\n  - Time series for total requests per model.\r\n  - Time series for total tokens per model (sum of `llm.usage.total_tokens`).\r\n- Usage by request route\r\n  - Time series for requests per HTTP route (for example `/chat/completions`, `/v1/chat/completions`, `/responses`, `/images/generations`, etc.).\r\n  - Time series for tokens per route.\r\n- Details for troubleshooting\r\n  - “Recent LLM calls” log viewer to drill into individual requests.\r\n  - Key fields are projected for quick inspection: `gen_ai.request.model`, `metadata.user_api_key_request_route`, `gen_ai.usage.prompt_tokens`, `gen_ai.usage.completion_tokens`, `llm.usage.total_tokens`, plus full `customDimensions`.\r\n- Flexible scoping\r\n  - Dashboard variables let you pick the Subscription and the target Application Insights resource that receives LiteLLM telemetry.\r\n- Defaults optimized for operations\r\n  - Default time range is the last 7 days; panels refresh every 1 minute; legends are sorted for quick triage.\r\n\r\n## How it works?\r\n- Data source: Grafana Azure Monitor data source querying Azure Log Analytics against your Application Insights resource.\r\n- The dashboard reads from the `dependencies` table and filters items emitted by LiteLLM:\r\n  - `where name == \"litellm_request\"`.\r\n- Latency calculations:\r\n  - Use `duration` from `dependencies` and compute `avg`, `percentile(…, 75|90|95|99)` over time (binned to 1 day).\r\n- Dimensions extracted from `customDimensions`:\r\n  - Model: `customDimensions[\"gen_ai.request.model\"]`.\r\n  - Route: `customDimensions[\"metadata.user_api_key_request_route\"]`.\r\n  - Tokens: `customDimensions[\"gen_ai.usage.prompt_tokens\"]`, `customDimensions[\"gen_ai.usage.completion_tokens\"]`, `customDimensions[\"llm.usage.total_tokens\"]`.\r\n- Requests and tokens time series:\r\n  - Use `make-series` to create daily series and `sum()` for token totals.\r\n- Variables:\r\n  - `subscriptionId` — selected subscription.\r\n  - `applicationInsightsResourceId` — the Application Insights resource ID (populated via Azure Resource Graph scoped by the selected subscription).\r\n\r\n## Requirements\r\n- Grafana 11.6+ with the Azure Monitor data source.\r\n- Read access to the target subscription and Application Insights workspace.\r\n- LiteLLM must emit telemetry to Application Insights (OpenTelemetry dependencies with name `litellm_request` and the custom dimensions listed above).\r\n\r\n## Change history\r\n- 9/10/2025 Initial version for Grafana 11.6","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2025-09-10T16:26:17.000Z","updatedAt":"2025-09-17T15:59:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24055"},{"rel":"revisions","href":"/dashboards/24055/revisions"},{"rel":"revision","href":"/dashboards/24055/revisions/2"},{"rel":"download","href":"/dashboards/24055/revisions/2/download"},{"rel":"org","href":"/orgs/fb1w2w3y"},{"rel":"images","href":"/dashboards/24055/images"},{"rel":"thumbnails","href":"/dashboards/24055/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":24965,"status":1,"statusCode":"active","orgId":90180,"orgSlug":"andrii29","orgName":"andrii29","slug":"litellm","downloads":743,"revisionId":40184,"revision":2,"name":"LiteLLM","description":"LiteLLM Prometheus Metrics","readme":"[Enable Metrics](https://docs.litellm.ai/docs/proxy/prometheus) in config.yaml\r\n\r\n```\r\nlitellm_settings:\r\n  callbacks:\r\n    - prometheus\r\n```\r\n\r\nAdd prometheus job\r\n```\r\n  - job_name: 'litellm'\r\n    metrics_path: \"/metrics/\"\r\n    static_configs:\r\n      - targets: ['127.0.0.1:4000']\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-03-05T18:15:55.000Z","updatedAt":"2026-03-12T04:31:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24965"},{"rel":"revisions","href":"/dashboards/24965/revisions"},{"rel":"revision","href":"/dashboards/24965/revisions/2"},{"rel":"download","href":"/dashboards/24965/revisions/2/download"},{"rel":"org","href":"/orgs/andrii29"},{"rel":"images","href":"/dashboards/24965/images"},{"rel":"thumbnails","href":"/dashboards/24965/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24064,"status":1,"statusCode":"active","orgId":294226,"orgSlug":"fb1w2w3y","orgName":"fb1w2w3y","slug":"litellm-trace","downloads":5446,"revisionId":38516,"revision":3,"name":"LiteLLM Trace","description":"Detailed diagnostics view for a single LiteLLM request trace. Use the Trace Id variable to load a specific call and analyze its end-to-end behavior including spans, token usage, model details, completion output, and the full prompt conversation. Data is sourced from Azure Application Insights via the Azure Monitor datasource.","readme":"# LiteLLM Trace Details\r\n\r\nDetailed diagnostics for a single LiteLLM request trace using Azure Monitor (Application Insights) in Grafana. Inspect the end-to-end distributed trace, model and token usage, completion output, and the full prompt conversation captured by LiteLLM.\r\n\r\n## Screenshots\r\n![litellm-trace-overview](https://github.com/1w2w3y/grafana-dashboards/raw/master/litellm-trace/litellm-trace-overwiew-2509.png)\r\n![litellm-trace-llm-output](https://github.com/1w2w3y/grafana-dashboards/raw/master/litellm-trace/litellm-trace-llm-output-2509.png)\r\n![litellm-trace-only](https://github.com/1w2w3y/grafana-dashboards/raw/master/litellm-trace/litellm-trace-only-2509.png)\r\n![litellm-trace-llm-prompts](https://github.com/1w2w3y/grafana-dashboards/raw/master/litellm-trace/litellm-trace-llm-prompts-2509.png)\r\n\r\n## Issues and feedback\r\nhttps://github.com/1w2w3y/grafana-dashboards/issues\r\n\r\n## Features\r\n- End-to-end distributed trace\r\n  - Visualizes the span timeline for the selected request (`operation_Id`), including requests, dependencies, exceptions, custom events, and traces.\r\n  - Helpful for diagnosing latency issues and downstream call behavior.\r\n- LLM output and token summary\r\n  - Shows model (`gen_ai.request.model`), total tokens (`llm.usage.total_tokens`), and the first completion content with its finish reason.\r\n- Full prompt conversation\r\n  - Reconstructs the entire conversation turns from `customDimensions` keys `gen_ai.prompt.N.role` and `gen_ai.prompt.N.content`, ordered by turn index.\r\n  - Displays an easy-to-read conversation with the total number of turns.\r\n- Flexible scoping\r\n  - Dashboard variables let you pick the Subscription, the target Application Insights resource, and the Trace Id (`operation_Id`) to inspect.\r\n- Defaults optimized for investigations\r\n  - Default time range is the last 1 hour; suitable for ad-hoc deep dives on recent requests.\r\n\r\n## How it works?\r\n- Data source: Grafana Azure Monitor data source.\r\n  - Azure Log Analytics queries against your Application Insights resource.\r\n  - Azure Traces query to render the distributed trace for the selected `operation_Id`.\r\n- Trace and details logic:\r\n  - The details panels read from the `dependencies` table and filter LiteLLM items:\r\n    - `where name == \"litellm_request\"`.\r\n    - Filter by the selected trace: `where operation_Id == \"$litellmTraceId\"`.\r\n  - Fields extracted from `customDimensions`:\r\n    - Model: `customDimensions[\"gen_ai.request.model\"]`\r\n    - System prompt: `customDimensions[\"gen_ai.system\"]`\r\n    - Tokens: `customDimensions[\"gen_ai.usage.prompt_tokens\"]`, `customDimensions[\"gen_ai.usage.completion_tokens\"]`, `customDimensions[\"llm.usage.total_tokens\"]`\r\n    - Completion: `customDimensions[\"gen_ai.completion.0.role\"]`, `customDimensions[\"gen_ai.completion.0.content\"]`, `customDimensions[\"gen_ai.completion.0.finish_reason\"]`\r\n  - Prompt reconstruction:\r\n    - `mv-expand bag_keys(customDimensions)` and regex match `^gen_ai\\.prompt\\.(\\d+)\\.(role|content)$` to capture each turn.\r\n    - Build per-index objects, order by `index`, and generate readable markdown:\r\n      - Header includes total turns, followed by each turn as role/content, separated by `---`.\r\n- Variables:\r\n  - `subscriptionId` — selected subscription.\r\n  - `applicationInsightsResourceId` — the Application Insights resource ID (discovered via Azure Resource Graph scoped by the selected subscription).\r\n  - `litellmTraceId` — the trace identifier (`operation_Id`) sourced from `dependencies | distinct operation_Id` for the selected resource and dashboard time.\r\n\r\n## Requirements\r\n- Grafana 11.6+ with the Azure Monitor data source (11.6.x).\r\n- Business Text panel plugin: `marcusolsson-dynamictext-panel` (used to render model/tokens/output and the prompt conversation).\r\n- Read access to the target subscription and Application Insights component.\r\n- LiteLLM must emit telemetry to Application Insights:\r\n  - OpenTelemetry dependency with `name == \"litellm_request\"`.\r\n  - Custom dimensions as listed above for model, tokens, completion, and prompt turns.\r\n\r\n## Change history\r\n- 9/12/2025 Initial version for Grafana 11.6\r\n- 9/24/2025 Fix Application Insights resource selection variable","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure 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","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-22T06:09:49.000Z","updatedAt":"2023-02-22T06:11:34.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18151"},{"rel":"revisions","href":"/dashboards/18151/revisions"},{"rel":"revision","href":"/dashboards/18151/revisions/1"},{"rel":"download","href":"/dashboards/18151/revisions/1/download"},{"rel":"org","href":"/orgs/nuanceps"},{"rel":"images","href":"/dashboards/18151/images"},{"rel":"thumbnails","href":"/dashboards/18151/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11856,"status":1,"statusCode":"active","orgId":343214,"orgSlug":"bhavanisurabhi1","orgName":"bhavanisurabhi1","slug":"live-data","downloads":847,"revisionId":16825,"revision":1,"name":"Live Data","description":"Real Time Dashboard","readme":"Real Time Dashboard to show parameters captured by IOT Sensors across city","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Microsoft SQL Server, PostgreSQL","privacy":"public","createdAt":"2020-03-06T08:26:23.000Z","updatedAt":"2020-03-06T08:29:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11856"},{"rel":"revisions","href":"/dashboards/11856/revisions"},{"rel":"revision","href":"/dashboards/11856/revisions/1"},{"rel":"download","href":"/dashboards/11856/revisions/1/download"},{"rel":"org","href":"/orgs/bhavanisurabhi1"},{"rel":"images","href":"/dashboards/11856/images"},{"rel":"thumbnails","href":"/dashboards/11856/thumbnails"}],"datasourceSlugs":["mssql","postgres"]},{"id":25118,"status":1,"statusCode":"active","orgId":1721945,"orgSlug":"mackapps","orgName":"mackapps","slug":"live-marine-weather-for-boaters","downloads":20,"revisionId":40680,"revision":4,"name":"Live Marine Weather for Boaters","description":"","readme":"## Overview\r\n\r\nA real-time marine weather dashboard for coastal fishing, boating, and offshore planning. Atmospheric data (conditions, wind, pressure, UV, swell, rain, visibility) comes from [Open-Meteo](https://open-meteo.com/) — a free, no-key API. Tide predictions and water temperature come directly from [NOAA CO-OPS](https://tidesandcurrents.noaa.gov/).\r\n\r\nThe dashboard is fully location-configurable. Change your coordinates and station IDs at any time from the variable dropdowns at the top.\r\n\r\n---\r\n\r\n## Prerequisites\r\n\r\nThis dashboard uses the **Infinity** plugin to call public REST APIs — no API keys or authentication required.\r\n\r\n**If you're on Grafana Cloud**, Infinity is likely already installed. Check under **Connections &gt; Data Sources** before proceeding.\r\n\r\n**To install manually:**\r\n1. Go to **Connections &gt; Data Sources &gt; Add new data source**\r\n2. Search for **Infinity** and click **Install**\r\n3. Click **Save &amp; Test** — no further configuration needed\r\n\r\n---\r\n\r\n## Import &amp; Configuration\r\n\r\nWhen you import the dashboard, you'll be prompted to set six variables. You can update any of these later via **Dashboard Settings &gt; Variables**.\r\n\r\n| Variable | What to enter |\r\n|---|---|\r\n| **Location Name** | Display name shown in the title (e.g., `West Palm Beach`) |\r\n| **Latitude** | Decimal latitude (e.g., `26.715`) |\r\n| **Longitude** | Decimal longitude (e.g., `-80.053`) |\r\n| **NOAA Tide Station ID** | 7-digit station ID for tide predictions |\r\n| **NOAA Water Temp Station ID** | 7-digit station ID for water temperature readings |\r\n\r\n---\r\n\r\n## Finding Your Coordinates\r\n\r\n**Google Maps:**\r\n1. Go to [maps.google.com](https://maps.google.com)\r\n2. Right-click (or long-press on mobile) on the water near your fishing spot\r\n3. Click the coordinates that appear at the top of the menu — they copy to your clipboard\r\n4. The first number is latitude, the second is longitude (negative for west)\r\n\r\n**Example:** Right-clicking Indian River Inlet, DE gives `38.611, -75.064`\r\n\r\n&gt; Pick a point on the water close to where you actually fish, not inland. Open-Meteo uses these coordinates for marine and weather model data, so accuracy matters within a few miles.\r\n\r\n---\r\n\r\n## Finding Your NOAA Station IDs\r\n\r\nYou need up to two NOAA station IDs — one for tides and one for water temperature. Often these are the same station, but not always.\r\n\r\n**Step by step:**\r\n1. Open the [NOAA CO-OPS Station Map](https://tidesandcurrents.noaa.gov/map/)\r\n2. Zoom to your area and click a station marker near your spot\r\n3. The **7-digit number** in the popup header is the station ID (e.g., `8558690`)\r\n\r\n**Tide Station:** Pick the station closest to your inlet or fishing area. Tide timing shifts significantly even across short distances, so closer is better.\r\n\r\n**Water Temp Station:** On the station detail page, check if **Water Temperature** is listed under *Available Data*. If it is, use the same station ID for both. If not, find the nearest station that does measure water temp — it may be 10-20 miles away, which is fine for temperature.\r\n\r\n&gt; **Quick lookup:** [tidesandcurrents.noaa.gov/stations.html](https://tidesandcurrents.noaa.gov/stations.html) lets you search by state and filter by data type.\r\n\r\n---\r\n\r\n## How It Works\r\n\r\n**Right Now** — Current air temp, feels-like, UV, wind speed/direction, conditions, water temp, and wave height. All pulled from the latest observation or model snapshot.\r\n\r\n**Tomorrow** — Daily summary table and 12-hour weather outlook so you can plan ahead.\r\n\r\n**3-Day Forecast** — Hourly timeseries charts for tides, pressure, UV, wind, rain chance, cloud cover, offshore swell, and visibility. Tides come from NOAA predictions; everything else is Open-Meteo forecast data.\r\n\r\n**Last 48 Hours** — Historical water temperature, wave height, wind, and pressure to see how conditions have been trending.\r\n\r\n**Reading the Colors** — Reference guide explaining what the color thresholds mean for each metric (temperature, wind, pressure, wave height) in a fishing context.\r\n\r\n### Data Sources\r\n\r\n| Source | What it provides | Update frequency |\r\n|---|---|---|\r\n| [Open-Meteo Forecast API](https://open-meteo.com/en/docs) | Wind, pressure, UV, rain, cloud cover, visibility, air temp | Hourly model updates |\r\n| [Open-Meteo Marine API](https://open-meteo.com/en/docs/marine-weather-api) | Wave height, swell period | Hourly model updates |\r\n| [NOAA CO-OPS API](https://api.tidesandcurrents.noaa.gov/api/prod/) | Tide predictions, water temperature | 6-min intervals (real-time) |\r\n\r\n### Wind Speed\r\n\r\nWind values are displayed in **mph** with the equivalent in **knots** shown alongside (e.g., `13 mph / 11.3 kts`). Color thresholds are calibrated for small-boat fishing:\r\n\r\n| Color | Speed | Conditions |\r\n|---|---|---|\r\n| Green | &lt; 10 mph / 9 kts | Calm |\r\n| Yellow | 10-15 mph / 9-13 kts | Comfortable |\r\n| Orange | 15-20 mph / 13-17 kts | Choppy |\r\n| Red | 20+ mph / 17+ kts | Rough |\r\n\r\n---\r\n\r\n## Time Range\r\n\r\nThe dashboard defaults to **Now to Now + 3 days** to show current conditions alongside the short-term forecast. You can extend the window using the time picker in the top-right corner — forecast panels adjust automatically.\r\n\r\n---\r\n\r\n## Troubleshooting\r\n\r\n**Panels show \"No data\"** — Verify your latitude/longitude and station IDs are correct. Test the station ID by visiting `https://tidesandcurrents.noaa.gov/stationhome.html?id=YOUR_ID`.\r\n\r\n**Water temp is blank** — Your station may not measure water temperature. Find a nearby station that does using the station map filtered by data type.\r\n\r\n**Tide predictions seem off** — Make sure you're using a station close to your actual location. Tide timing can differ by 30+ minutes between stations just a few miles apart.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2026-04-05T23:24:30.000Z","updatedAt":"2026-05-07T01:06:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25118"},{"rel":"revisions","href":"/dashboards/25118/revisions"},{"rel":"revision","href":"/dashboards/25118/revisions/4"},{"rel":"download","href":"/dashboards/25118/revisions/4/download"},{"rel":"org","href":"/orgs/mackapps"},{"rel":"images","href":"/dashboards/25118/images"},{"rel":"thumbnails","href":"/dashboards/25118/thumbnails"}]},{"id":21101,"status":1,"statusCode":"active","orgId":1129016,"orgSlug":"lowsock","orgName":"lowsock","slug":"livebox","downloads":300,"revisionId":35310,"revision":3,"name":"Livebox","description":"Dashboard for Livebox Exporter.\r\n\r\nSee https://github.com/eric-b/livebox-exporter","readme":"Displays basic status and stats of WAN (ONT) connection of a Livebox 5 (router).\r\n\r\nRequires livebox-exporter available at https://github.com/eric-b/livebox-exporter\r\n\r\nScrape config in ‘/etc/prometheus/prometheus.yml’:\r\n\r\n```\r\n  - job_name: 'livebox'\r\n    scheme: http\r\n    static_configs:\r\n      - targets: [\"localhost:9105\"]\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-05-20T10:07:12.000Z","updatedAt":"2024-12-04T13:16:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21101"},{"rel":"revisions","href":"/dashboards/21101/revisions"},{"rel":"revision","href":"/dashboards/21101/revisions/3"},{"rel":"download","href":"/dashboards/21101/revisions/3/download"},{"rel":"org","href":"/orgs/lowsock"},{"rel":"images","href":"/dashboards/21101/images"},{"rel":"thumbnails","href":"/dashboards/21101/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21577,"status":1,"statusCode":"active","orgId":1180919,"orgSlug":"tomy2e","orgName":"tomy2e","slug":"livebox","downloads":322,"revisionId":34024,"revision":3,"name":"Livebox","description":"livebox-exporter dashboard","readme":"A dashboard for livebox-exporter: https://github.com/Tomy2e/livebox-exporter\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-07-24T19:02:29.000Z","updatedAt":"2024-08-20T21:38:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21577"},{"rel":"revisions","href":"/dashboards/21577/revisions"},{"rel":"revision","href":"/dashboards/21577/revisions/3"},{"rel":"download","href":"/dashboards/21577/revisions/3/download"},{"rel":"org","href":"/orgs/tomy2e"},{"rel":"images","href":"/dashboards/21577/images"},{"rel":"thumbnails","href":"/dashboards/21577/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15237,"status":1,"statusCode":"active","orgId":141051,"orgSlug":"bekit","orgName":"bekit","slug":"livekit-metrics","downloads":1338,"revisionId":22858,"revision":1,"name":"LiveKit on Fly.io Metrics","description":"Metrics for LiveKit servers running on Fly.io, grouped by Region. 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Grafana Labs. Over the years, we've used Grafana in the center to gather our monitoring data from numerous tools. Grafana provides several customizable ways to create or use existing dashboards for visualizing and arranging data. For the best practice, the#development team can evaluate and troubleshoot issues with metrics and logs from Prometheus and Loki and some additional data sources for our circumstances. \r\n\r\n","readme":"I've spent the last four years working with Grafana with various connected technologies, including Prometheus, Loki, CloudWatch, a PostgreSQL data source, Kubernetes event exporters, etc. Also, I would like you to eliminate much of the manual effort and several mechanisms I have followed for years. \r\n\r\n\r\n\r\nI created a custom dashboard that works nicely using Loki as the data source to display log \"messages\" and \"error messages\" from your application logs. So, it was quickly built using key pairs, with one side representing message categories and the other representing message counts. So we can use this dashboard more and more to set up alerts for some error messages that we receive, to find out what errors are being thrown on applications, and to reduce overhead by not having to search and route error logs all the time. Instead, we can catch the error in the table using this dashboard. It is designed for a microservice application, with log labels that include \"message\" and \"error message.\". \r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2024-04-06T01:22:08.000Z","updatedAt":"2024-04-06T01:23:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20845"},{"rel":"revisions","href":"/dashboards/20845/revisions"},{"rel":"revision","href":"/dashboards/20845/revisions/1"},{"rel":"download","href":"/dashboards/20845/revisions/1/download"},{"rel":"org","href":"/orgs/nazarillthizam"},{"rel":"images","href":"/dashboards/20845/images"},{"rel":"thumbnails","href":"/dashboards/20845/thumbnails"}],"datasourceSlugs":["loki"]},{"id":24115,"status":1,"statusCode":"active","orgId":285936,"orgSlug":"arnaudlemaignen","orgName":"arnaudlemaignen","slug":"logstash","downloads":145,"revisionId":38467,"revision":1,"name":"Logstash","description":"Logstash monitoring via prometheus","readme":"### [Logstash](https://github.com/arnaudlemaignen/grafana-dashboards/tree/master/prometheus-ds/logstash)\r\n\r\nThis dashboard needs the [logstash exporter](https://github.com/leroy-merlin-br/logstash-exporter) to be scraped.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-09-20T00:44:24.000Z","updatedAt":"2025-09-26T15:51:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24115"},{"rel":"revisions","href":"/dashboards/24115/revisions"},{"rel":"revision","href":"/dashboards/24115/revisions/1"},{"rel":"download","href":"/dashboards/24115/revisions/1/download"},{"rel":"org","href":"/orgs/arnaudlemaignen"},{"rel":"images","href":"/dashboards/24115/images"},{"rel":"thumbnails","href":"/dashboards/24115/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":635,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"logstash-browser","downloads":4346,"revisionId":1232,"revision":5,"name":"Logstash Browser","description":"Browse, filter and analyze logs in Elasticsearch","readme":"## Logstash Browser\r\n\r\nBrowse, filter and analyze logs in Elasticsearch.\r\n\r\n## Elasticsearch datasource configuration\r\n\r\n[http://docs.grafana.org/datasources/elasticsearch/](http://docs.grafana.org/datasources/elasticsearch/)\r\n\r\n## Make Grafana Elasticsearch dashboards better\r\n\r\nFeel free to add additional dashboards or update existing one in [GitHub repo](https://github.com/monitoringartist/grafana-elasticsearch-dashboards).\r\n\r\n## Commercial support for this dashboard\r\n\r\n[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-logo-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')[![Monitoring Artist](https://monitoringartist.github.io/monitoring-artist-text-grafana.png)](http://www.monitoringartist.com 'DevOps / Docker / Kubernetes / AWS ECS / Google GCP / Zabbix / Zenoss / Terraform / Monitoring')","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2016-10-12T20:57:06.000Z","updatedAt":"2016-11-14T20:03:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/635"},{"rel":"revisions","href":"/dashboards/635/revisions"},{"rel":"revision","href":"/dashboards/635/revisions/5"},{"rel":"download","href":"/dashboards/635/revisions/5/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/635/images"},{"rel":"thumbnails","href":"/dashboards/635/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":11982,"status":1,"statusCode":"active","orgId":363373,"orgSlug":"freakerhere","orgName":"freakerhere","slug":"logstash-dashboard-test","downloads":555,"revisionId":17024,"revision":1,"name":"Logstash Dashboard ","description":"Dashboard for Logstash metrices","readme":"Use the logstash input plugin at: https://github.com/influxdata/telegraf/tree/master/plugins/inputs/logstash\r\n\r\nand influx output plugin. ","collectorType":"Telegraf","collectorConfig":"Use telegraf logstash input plugin and influxDb output plugin\r\nA sample config is :\r\n\r\n[global_tags]\r\n\r\n[agent]\r\n  interval = \"10s\"\r\n  round_interval = true\r\n  metric_batch_size = 20000\r\n  metric_buffer_limit = 50000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"10s\"\r\n  flush_jitter = \"0s\"\r\n  precision = \"\"\r\n  debug = true\r\n  quiet = false\r\n  logfile = \"/tmp/t.log\"\r\n  hostname = \"10.5.247.139\"\r\n  omit_hostname = false\r\n\r\n######## OUTPUT PLUGINS ########\r\n[outputs]\r\n[[outputs.influxdb]]\r\n  urls = [\"http://127.0.0.1:8086\"] #Your influx url comes here\r\n  database = \"access_log_test\"\r\n  skip_database_creation = true\r\n  timeout = \"5s\"\r\n  username = \"test1\"\r\n  password = \"test1\"\r\n\r\n######## INPUT PLUGINS ########\r\n#System metrices\r\n[[inputs.cpu]]\r\n  percpu = false\r\n  totalcpu = true\r\n  collect_cpu_time = false\r\n  report_active = false\r\nfieldpass = [\"usage_idle\"]\r\n\r\n[[inputs.diskio]]\r\n  fieldpass = [\"reads\",\"writes\",\"read_bytes\",\"write_bytes\"]\r\n\r\n[[inputs.mem]]\r\n  fieldpass = [\"cached\",\"free\",\"used\",\"total\"]\r\n\r\n[[inputs.netstat]]\r\n  fieldpass = [\"tcp_established\",\"tcp_time_wait\"]\r\n\r\n[[inputs.net]]\r\n  fieldpass = [\"bytes_sent\",\"bytes_recv\",\"packets_sent\",\"packets_recv\"]\r\n\r\n#Logstash Metrices\r\n[[inputs.logstash]]\r\n  url = \"http://127.0.0.1:9600\" # your logstash url comes here\r\n  collect = [\"pipelines\", \"process\", \"jvm\"]\r\n\r\n","collectorPluginList":"Other, influxdb","datasource":"InfluxDB","privacy":"public","createdAt":"2020-03-24T08:53:54.000Z","updatedAt":"2020-03-24T09:00:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11982"},{"rel":"revisions","href":"/dashboards/11982/revisions"},{"rel":"revision","href":"/dashboards/11982/revisions/1"},{"rel":"download","href":"/dashboards/11982/revisions/1/download"},{"rel":"org","href":"/orgs/freakerhere"},{"rel":"images","href":"/dashboards/11982/images"},{"rel":"thumbnails","href":"/dashboards/11982/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":2525,"status":1,"statusCode":"active","orgId":69233,"orgSlug":"dshmelev","orgName":"Dmitry Shmelev","slug":"logstash","downloads":29292,"revisionId":3398,"revision":1,"name":"Logstash metrics","description":"Logstash monitoring via prometheus","readme":"Logstash monitoring via prometheus and logstash_exporter(https://github.com/BonnierNews/logstash_exporter)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-06-26T08:28:42.000Z","updatedAt":"2017-06-27T15:06:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/2525"},{"rel":"revisions","href":"/dashboards/2525/revisions"},{"rel":"revision","href":"/dashboards/2525/revisions/1"},{"rel":"download","href":"/dashboards/2525/revisions/1/download"},{"rel":"org","href":"/orgs/dshmelev"},{"rel":"images","href":"/dashboards/2525/images"},{"rel":"thumbnails","href":"/dashboards/2525/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17918,"status":1,"statusCode":"active","orgId":726308,"orgSlug":"ptmp13","orgName":"ptmp13","slug":"logstash-monitoring","downloads":1465,"revisionId":36517,"revision":7,"name":"Logstash monitoring","description":"System, JVM, Pipeline and individual plugin stats","readme":"This dashboard for exporter: \r\n[https://github.com/alxrem/prometheus-logstash-exporter](https://github.com/alxrem/prometheus-logstash-exporter)\r\nworks did not complete... may be I update this dashboard later... Enjoy current version!\r\n\r\nI will appreciate if you left review.\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-01-20T16:23:57.000Z","updatedAt":"2025-03-18T11:57:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/17918"},{"rel":"revisions","href":"/dashboards/17918/revisions"},{"rel":"revision","href":"/dashboards/17918/revisions/7"},{"rel":"download","href":"/dashboards/17918/revisions/7/download"},{"rel":"org","href":"/orgs/ptmp13"},{"rel":"images","href":"/dashboards/17918/images"},{"rel":"thumbnails","href":"/dashboards/17918/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8467,"status":1,"statusCode":"active","orgId":202792,"orgSlug":"sebastiang","orgName":"Sebastian  G.","slug":"logstash-monitoring-based-on-x-pack-stats-grouped-by-node","downloads":765,"revisionId":11858,"revision":2,"name":"Logstash Monitoring based on X-Pack stats - grouped by node","description":"Dashboard to view Logstashs internal statistics (based on X-Pack).","readme":"Elastics Logstash provides internal statistics based on X-Pack, which comes for free. Those statistics are written to an Elasticsearch index and can therefor be viewed in Grafana easily. No additional client or exporter is needed. More information on how to enable the internal Logstash statistics can be found at: \r\n\r\nhttps://www.elastic.co/guide/en/logstash/current/configuring-logstash.html\r\n\r\nThe metrics found in this dashboard are based on the ones available in the official Kibana Dashboard for monitoring Logstash. If you have multiple Logstash Nodes you can select one via variable. The Node Overview and Node Advanced Stats Dashboard Rows show all of the Graphs grouped by Node. If you would like to have each of these dashboard rows per Logstash node (so repeated by node) please find my other dashboard which does exactly that. This is my first dashboard upload and i hope you find it as useful as i do. \r\n\r\nIf you would like to see the dashboard in action - you can bring up a Grafana-PLEI stack (Grafana bundled with (P)rometheus, (L)ogstash, (E)lasicsearch & (I)nfluxDB) with docker-compose and try it yourself. You can find it here: \r\n\r\nhttps://github.com/crab86/grafana-plei\r\n\r\n Moreover you can open issues and pull requests regarding this dashboard or the PLEI stack via this GitHub repo. \r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2018-10-20T12:32:02.000Z","updatedAt":"2018-11-02T12:28:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8467"},{"rel":"revisions","href":"/dashboards/8467/revisions"},{"rel":"revision","href":"/dashboards/8467/revisions/2"},{"rel":"download","href":"/dashboards/8467/revisions/2/download"},{"rel":"org","href":"/orgs/sebastiang"},{"rel":"images","href":"/dashboards/8467/images"},{"rel":"thumbnails","href":"/dashboards/8467/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":8470,"status":1,"statusCode":"active","orgId":202792,"orgSlug":"sebastiang","orgName":"Sebastian  G.","slug":"logstash-monitoring-based-on-x-pack-stats-repeat-by-node","downloads":582,"revisionId":11855,"revision":2,"name":"Logstash Monitoring based on X-Pack stats - repeat by node","description":"Logstash monitoring based on internal X-Pack statistics","readme":"Elastics Logstash provides internal statistics based on X-Pack, which comes for free. Those statistics are written to an Elasticsearch index and can therefor be viewed in Grafana easily. No additional client or exporter is needed. More information on how to enable the internal Logstash statistics can be found at: \r\n\r\nhttps://www.elastic.co/guide/en/logstash/current/configuring-logstash.html\r\n\r\nThe metrics found in this dashboard are based on the ones available in the official Kibana Dashboard for monitoring Logstash. If you have multiple Logstash Nodes you can select one via variable. The Node Overview and Node Advanced Stats Dashboard Rows are repeated on a per node basis and show all of the Graphs for a Node. If you would like to have only a single one of these dashboard rows and the graphs grouped by Logstash node please find my other dashboard which does exactly that. This is my second dashboard upload and i hope you find it as useful as i do. \r\n\r\nIf you would like to see the dashboard in action - you can bring up a Grafana-PLEI stack (Grafana bundled with (P)rometheus, (L)ogstash, (E)lasicsearch & (I)nfluxDB) with docker-compose and try it yourself. You can find it here: \r\n\r\nhttps://github.com/crab86/grafana-plei\r\n\r\n Moreover you can open issues and pull requests regarding this dashboard or the PLEI stack via this GitHub repo. ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2018-10-20T12:52:33.000Z","updatedAt":"2018-11-02T12:28:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8470"},{"rel":"revisions","href":"/dashboards/8470/revisions"},{"rel":"revision","href":"/dashboards/8470/revisions/2"},{"rel":"download","href":"/dashboards/8470/revisions/2/download"},{"rel":"org","href":"/orgs/sebastiang"},{"rel":"images","href":"/dashboards/8470/images"},{"rel":"thumbnails","href":"/dashboards/8470/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":12707,"status":1,"statusCode":"active","orgId":403391,"orgSlug":"zeph1","orgName":"zeph1ro","slug":"logstash-node-stats-api","downloads":652,"revisionId":18275,"revision":2,"name":"logstash Node stats API","description":"","readme":"https://github.com/alxrem/prometheus-logstash-exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-07-25T09:33:33.000Z","updatedAt":"2020-07-25T09:40:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12707"},{"rel":"revisions","href":"/dashboards/12707/revisions"},{"rel":"revision","href":"/dashboards/12707/revisions/2"},{"rel":"download","href":"/dashboards/12707/revisions/2/download"},{"rel":"org","href":"/orgs/zeph1"},{"rel":"images","href":"/dashboards/12707/images"},{"rel":"thumbnails","href":"/dashboards/12707/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18628,"status":1,"statusCode":"active","orgId":845418,"orgSlug":"excalq","orgName":"excalq","slug":"logstash-on-kubernetes-dashboard","downloads":2189,"revisionId":28719,"revision":2,"name":"Logstash on Kubernetes Dashboard","description":"Logstash Health Monitoring: System, JVM, Pipeline and individual plugin stats for Logstash replicas running on Kubernetes.","readme":"# Logstash on Kubernetes Dashboard\r\n\r\n**A Grafana Dashboard for [https://github.com/kuskoman/logstash-exporter](https://github.com/kuskoman/logstash-exporter).**\r\n\r\nMonitoring for all Logststash replicas running in Kubernetes, Filterable by pod, pipeline, and plugin types and names.\r\nRich metrics for High-Levels, Inputs, Filters, and Outputs.\r\n\r\nUsing on non-Kubernetes deployments? Just change the label and filter `pod` to `instance`.\r\nThe Helm chart release version uses the label `version`. This is from Helm's annotations and the Prometheus kubernetes_sd_config.\r\n\r\nUses Prometheus metrics collected exported by [kuskoman/logstash-exporter](https://github.com/kuskoman/logstash-exporter) v1.2.0+\r\nTested against Logstash v8.4.0, Grafana v8.4.7, AWS Managed Prometheus v2.39.1. \r\n\r\nOriginal version based on [dpavlos/logstash-monitoring](https://github.com/dpavlos/logstash-monitoring), modernized, adapted to kuskoman/logstash-exporter v1.2.0.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-04-28T04:40:33.000Z","updatedAt":"2023-05-11T14:51:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18628"},{"rel":"revisions","href":"/dashboards/18628/revisions"},{"rel":"revision","href":"/dashboards/18628/revisions/2"},{"rel":"download","href":"/dashboards/18628/revisions/2/download"},{"rel":"org","href":"/orgs/excalq"},{"rel":"images","href":"/dashboards/18628/images"},{"rel":"thumbnails","href":"/dashboards/18628/thumbnails"}]},{"id":13766,"status":1,"statusCode":"active","orgId":413891,"orgSlug":"lux4rd0labs","orgName":"Lux4rd0 Labs","slug":"loki-syslog-aio-overview","downloads":4506,"revisionId":20115,"revision":1,"name":"Loki - Syslog AIO (All In One)","description":"An example dashboard showing Loki ingested syslogs forwarded from syslog-ng. Part of my Loki Syslog All In One project.","readme":"This Loki Syslog All-In-One example is geared to help you get up and running quickly with a Syslog ingestor and visualization of logs. 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It helps identify logging bottlenecks, track error rates, and monitor resource consumption across your containerized infrastructure.\r\n\r\n## What This Dashboard Shows\r\n\r\n### 📊 **Top 10 Containers by Log Rate**\r\n- Identifies the highest log-producing containers in your cluster\r\n- Shows trends over time to spot unusual spikes\r\n- Useful for capacity planning and identifying chatty applications\r\n\r\n### 🏢 **Top 10 Namespaces by Log Rate**\r\n- Monitors log volume at the namespace level\r\n- Helps with resource allocation and team accountability\r\n- Enables cross-team visibility into logging patterns\r\n\r\n### 🚨 **Error Rate Producers**\r\n- Tracks containers generating the most error logs\r\n- Uses case-insensitive regex matching for \"error\" patterns\r\n- Critical for identifying problematic services quickly\r\n\r\n### 📈 **Total Log Ingestion Rate**\r\n- Real-time overview of overall system log throughput\r\n- Color-coded thresholds (Green < 1K, Yellow < 5K, Red > 5K logs/sec)\r\n- Essential for monitoring Loki cluster health\r\n\r\n### ⚠️ **Error Rate**\r\n- Aggregated error log rate across all containers\r\n- Immediate visibility into system-wide issues\r\n- Thresholds: Green < 10, Yellow < 50, Red > 50 errors/sec\r\n\r\n### 📋 **Current Top Log Producers (Table)**\r\n- Detailed tabular view with namespace, container, and pod breakdown\r\n- Sortable by log rate with gradient gauge visualization\r\n- Shows top 20 log producers for granular analysis\r\n\r\n## Data Collection\r\n\r\n### Prerequisites\r\n- **Loki**: Centralized log aggregation system\r\n- **Promtail** or similar log collector configured to ship logs to Loki\r\n- Container logs labeled with `container`, `namespace`, and `pod` labels\r\n\r\n### Log Collection Setup\r\n\r\nThis dashboard expects logs to be collected with the following label structure:\r\n\r\n```yaml\r\n# Example Promtail configuration snippet\r\nscrape_configs:\r\n  - job_name: kubernetes-pods\r\n    kubernetes_sd_configs:\r\n      - role: pod\r\n    relabel_configs:\r\n      - source_labels: [__meta_kubernetes_pod_container_name]\r\n        target_label: container\r\n      - source_labels: [__meta_kubernetes_namespace]\r\n        target_label: namespace\r\n      - source_labels: [__meta_kubernetes_pod_name]\r\n        target_label: pod\r\n```\r\n\r\n### Query Patterns\r\n\r\nThe dashboard uses LogQL queries with rate calculations:\r\n- `rate({container=~\".+\"}[$__range])` - Log ingestion rate per container\r\n- `rate({container=~\".+\"} |~ \"(?i)error\" [$__range])` - Error log detection using regex\r\n\r\n### Time Range Configuration\r\n\r\n- **Default Range**: Last 5 minutes (`now-5m` to `now`)\r\n- **Auto Refresh**: 30 seconds\r\n- **Rate Calculation**: Uses Grafana's `$__range` variable for automatic interval adjustment\r\n\r\n## Use Cases\r\n\r\n1. **Capacity Planning**: Monitor ingestion trends to predict storage and processing needs\r\n2. **Troubleshooting**: Quickly identify services generating excessive logs or errors\r\n3. **Cost Optimization**: Find and optimize verbose applications to reduce log storage costs\r\n4. **SLA Monitoring**: Track error rates across services and namespaces\r\n5. **Performance Analysis**: Correlate log volume spikes with application performance issues\r\n\r\n## Alerts and Thresholds\r\n\r\nThe dashboard includes visual thresholds but doesn't create alerts. Consider setting up Grafana alerts for:\r\n- Total ingestion rate > 5000 logs/sec\r\n- Error rate > 50 errors/sec\r\n- Individual container log rate > 1000 logs/sec\r\n\r\n## Dependencies\r\n\r\n- **Grafana**: 9.3+ recommended\r\n- **Loki Datasource**: Configured and accessible\r\n- **Log Labels**: Requires `container`, `namespace`, and `pod` labels on log streams\r\n\r\n## Customization\r\n\r\nTo adapt this dashboard for your environment:\r\n1. Modify label selectors in queries to match your log stream labels\r\n2. Adjust threshold values based on your infrastructure scale\r\n3. Add additional error patterns in the regex filter\r\n4. 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TLS\n                    '\"upstream_header_time\": \"$upstream_header_time\", ' # time spent receiving upstream headers\n                    '\"upstream_response_time\": \"$upstream_response_time\", ' # time spend receiving upstream body\n                    '\"upstream_response_length\": \"$upstream_response_length\", ' # upstream response length\n                    '\"upstream_cache_status\": \"$upstream_cache_status\", ' # cache HIT/MISS where applicable\n                    '\"ssl_protocol\": \"$ssl_protocol\", ' # TLS protocol\n                    '\"ssl_cipher\": \"$ssl_cipher\", ' # TLS cipher\n                    '\"scheme\": \"$scheme\", ' # http or https\n                    '\"request_method\": \"$request_method\", ' # request method\n                    '\"server_protocol\": \"$server_protocol\", ' # request protocol, like HTTP/1.1 or HTTP/2.0\n                    '\"pipe\": \"$pipe\", ' # \"p\" if request was pipelined, \".\" otherwise\n                    '\"gzip_ratio\": \"$gzip_ratio\", '\n                    '\"http_cf_ray\": \"$http_cf_ray\",'\n                    '\"geoip_country_code\": \"$geoip_country_code\"'\n                    '}';\n\n access_log /var/log/nginx/json_access.log json_analytics;\n```\nFor IP to country mapping, also enable the Geo_IP module:\n\n```cfg\ngeoip_country /etc/nginx/GeoIP.dat;\ngeoip_city /etc/nginx/GeoIPCity.dat;\n```\nMy promtail configuration:\n\n```cfg\nserver:\n  http_listen_port: 0\n  grpc_listen_port: 0\n\npositions:\n  filename: /tmp/positions.yaml\n\nclients:\n  - url: https://USER:PASSWORD@logs-prod-us-central1.grafana.net/api/prom/push\n\nscrape_configs:\n    - job_name: system\n      pipeline_stages:\n      - replace:\n          expression: '(?:[0-9]{1,3}\\.){3}([0-9]{1,3})'\n          replace: '***'\n      static_configs:\n      - targets:\n         - localhost\n        labels:\n         job: nginx_access_log\n         host: appfelstrudel\n         agent: promtail\n         __path__: /var/log/nginx/*access.log\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite, Loki","privacy":"public","createdAt":"2020-07-01T10:34:20.000Z","updatedAt":"2023-06-23T06:35:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":26,"reviewsAvgRating":4.31,"links":[{"rel":"self","href":"/dashboards/12559"},{"rel":"revisions","href":"/dashboards/12559/revisions"},{"rel":"revision","href":"/dashboards/12559/revisions/14"},{"rel":"download","href":"/dashboards/12559/revisions/14/download"},{"rel":"org","href":"/orgs/wardbekker1"},{"rel":"images","href":"/dashboards/12559/images"},{"rel":"thumbnails","href":"/dashboards/12559/thumbnails"}],"datasourceSlugs":["graphite","loki"]},{"id":19257,"status":1,"statusCode":"active","orgId":911825,"orgSlug":"laesthery","orgName":"laesthery","slug":"loki-nginx-service-mesh-json-version","downloads":309,"revisionId":29527,"revision":1,"name":"Loki NGINX Service Mesh - JSON version","description":"Loki v2+ showcase using JSON NGINX access logs.","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite, Loki","privacy":"public","createdAt":"2023-07-31T03:57:22.000Z","updatedAt":"2023-10-30T18:35:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19257"},{"rel":"revisions","href":"/dashboards/19257/revisions"},{"rel":"revision","href":"/dashboards/19257/revisions/1"},{"rel":"download","href":"/dashboards/19257/revisions/1/download"},{"rel":"org","href":"/orgs/laesthery"},{"rel":"images","href":"/dashboards/19257/images"},{"rel":"thumbnails","href":"/dashboards/19257/thumbnails"}],"datasourceSlugs":["graphite","loki"]},{"id":14055,"status":1,"statusCode":"active","orgId":472104,"orgSlug":"quortex","orgName":"Quortex","slug":"loki-stack-monitoring-promtail-loki","downloads":46664951,"revisionId":20887,"revision":5,"name":"Loki stack monitoring (Promtail, Loki)","description":"This dashboard can be used to detect issues on the Loki stack, when deployed in Kubernetes. 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Prometheus","privacy":"public","createdAt":"2024-05-25T07:10:32.000Z","updatedAt":"2024-05-25T07:12:06.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21130"},{"rel":"revisions","href":"/dashboards/21130/revisions"},{"rel":"revision","href":"/dashboards/21130/revisions/1"},{"rel":"download","href":"/dashboards/21130/revisions/1/download"},{"rel":"org","href":"/orgs/richhdoty"},{"rel":"images","href":"/dashboards/21130/images"},{"rel":"thumbnails","href":"/dashboards/21130/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":14003,"status":1,"statusCode":"active","orgId":260580,"orgSlug":"cloudxiaobai","orgName":"Link","slug":"loki-v2-events-dashboard-for-kubernetes","downloads":46854,"revisionId":20541,"revision":2,"name":"Loki v2 Events Dashboard for Kubernetes","description":"Kubernetes Events Dashboard  by CloudXiaobai","readme":"使用面板前需要先安装kubernetes-event-exporter\n\n[Kubernetes-Event-Exporter Installation](https://github.com/opsgenie/kubernetes-event-exporter/tree/master/deploy)\n\n### 使用说明\n\n#### 1. kubernetes-event-exporter日志会打印到stdout，需要log agent采集到loki\n\n#### 2. 下载并导入模版 “Loki v2 Events Dashboard for Kubernetes“\n\n#### 3. 修改LogQL语句\n\n```\n{job=\"kubernetes-event-exporter\"} 替换成自己的label\n```\n\n 更详细的操作请关注我的公众号\n\n---\n关注『云原生小白』公众号回复「入群」，加入Loki学习群，一起搬砖...\n\n![](https://github.com/CloudmindsRobot/dagger/blob/main/docs/qrcode.jpg?raw=true)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, 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logs.","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2021-03-13T21:54:05.000Z","updatedAt":"2021-03-13T21:55:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14065"},{"rel":"revisions","href":"/dashboards/14065/revisions"},{"rel":"revision","href":"/dashboards/14065/revisions/1"},{"rel":"download","href":"/dashboards/14065/revisions/1/download"},{"rel":"org","href":"/orgs/pracz"},{"rel":"images","href":"/dashboards/14065/images"},{"rel":"thumbnails","href":"/dashboards/14065/thumbnails"}],"datasourceSlugs":["loki"]},{"id":11489,"status":1,"statusCode":"active","orgId":13842,"orgSlug":"kaszpir","orgName":"kaszpir","slug":"loki-canary","downloads":483967,"revisionId":23401,"revision":4,"name":"Loki-Canary","description":"Loki Canary is a standalone app that audits the log capturing performance of Loki.","readme":"# About\r\n\r\nSee [loki-canary docs](https://grafana.com/docs/loki/latest/operations/loki-canary/) for more info about loki-canary.\r\n\r\nExample dashboard for loki-canary deployed on k8s and with metrics gathered by Prometheus 2.x.\r\n\r\nNotice that different revisions are with different app stack (loki/loki-canary/prometheus)\r\nScreenshots are from the latest version.\r\n\r\n# Revisions\r\n\r\n## Revision 4\r\n\r\n**Test setup:**\r\n- Promtail and Loki deployed from official helm charts - [loki/charts](https://grafana.github.io/loki/charts) using default values\r\n- Loki chart version: \"2.6.0 with Loki 2.4.1\"\r\n- Promtail chart version: \"2.2.0\" with Promtail 2.4.1\r\n- Loki-canary chart version: \"0.5.1\" with Loki-Canary 2.4.1\r\n- using defaults\r\n- prometheus-operator from kube-prometheus-stack chart version: \"27.2.0\" with no special relabelings\r\n\r\n**Dashboard changes:**\r\n- dashboard uses summarized values, this is required when working with bigger clusters\r\n- updated metrics due to metric name changes in loki-canary\r\n- removed histograms (maybe will re-add in the next revision, will see)\r\n\r\n## Revision 3 and below\r\n\r\n**Test setup:**\r\n- Promtail and Loki deployed from official helm charts - loki/charts using default values\r\n- Loki chart version: \"0.22.0\"\r\n- Promtail chart version: \"0.16.0\"\r\n- Loki-canary deployed from separate yaml files via kubectl -f, which consists of daemonset, service and servicemanager in the setup above logs have labels container_name=\"loki-canary\" and this is used in Loki queries, of course labels depend on promtail relabeling rules\r\n- metrics are gathered by Prometheus 2.x and have labels pod\r\n\r\n## Revision 3\r\n\r\n**Dashboard changes:**\r\n- added average response latencies\r\n\r\n## Revision 2\r\n\r\n**Dashboard changes:**\r\n- added rows\r\n- added Loki annotations for lines containing word `error`\r\n- added new row with Loki logs which are showing everything except standard \"pppp...\" message (size 100)\r\n\r\n## Revision 1\r\n\r\n**Dashboard changes:**\r\n- initial dahsboard, simple graphs\r\n\r\n# References\r\n\r\n- [loki-canary docs](https://grafana.com/docs/loki/latest/operations/loki-canary/)\r\n- [loki/charts](https://grafana.github.io/loki/charts) helm chart\r\n\r\n# Contact\r\n\r\n- [contact author](https://github.com/nvtkaszpir) if you have any suggestions etc\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2019-12-31T16:10:28.000Z","updatedAt":"2022-01-10T20:24:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11489"},{"rel":"revisions","href":"/dashboards/11489/revisions"},{"rel":"revision","href":"/dashboards/11489/revisions/4"},{"rel":"download","href":"/dashboards/11489/revisions/4/download"},{"rel":"org","href":"/orgs/kaszpir"},{"rel":"images","href":"/dashboards/11489/images"},{"rel":"thumbnails","href":"/dashboards/11489/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":10004,"status":1,"statusCode":"active","orgId":191412,"orgSlug":"daixiang0","orgName":"daixiang0","slug":"loki","downloads":2705,"revisionId":13982,"revision":1,"name":"Loki-Promtail","description":"an example for loki and promtail.","readme":"An example for Loki and Promtail, more details refer to https://github.com/grafana/loki","collectorType":"collectd","collectorConfig":"You should add sd_config for Loki and Promtail and then you can get them in Grafana UI.","collectorPluginList":"LogFile plugin","datasource":null,"privacy":"public","createdAt":"2019-04-04T03:36:55.000Z","updatedAt":"2019-04-04T03:45:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":1,"links":[{"rel":"self","href":"/dashboards/10004"},{"rel":"revisions","href":"/dashboards/10004/revisions"},{"rel":"revision","href":"/dashboards/10004/revisions/1"},{"rel":"download","href":"/dashboards/10004/revisions/1/download"},{"rel":"org","href":"/orgs/daixiang0"},{"rel":"images","href":"/dashboards/10004/images"},{"rel":"thumbnails","href":"/dashboards/10004/thumbnails"}]},{"id":16226,"status":1,"statusCode":"active","orgId":642598,"orgSlug":"aim4highergg","orgName":"AimHigherGG","slug":"loki-accesslogs","downloads":45144,"revisionId":30920,"revision":4,"name":"Loki:AccessLogs","description":"Loki dashboards for promtail metrics","readme":"[kubernetes monitoring github code](https://github.com/AbeYuki/monitoring-k8s)\r\n\r\n# Quick start(minikube)\r\n```\r\nminikube start --cpus 3 --memory 5G\r\n```\r\n```\r\ngit clone git@github.com:AbeYuki/monitoring-k8s.git\r\n```\r\n```\r\ncd monitoring-k8s/overlay/testing/\r\n```\r\n```\r\nkubectl apply -f namespace.yaml\r\n```\r\n```\r\nkubectl apply -k secret/\r\n```\r\n```\r\nkubectl apply -k ./\r\n```\r\n```\r\nkubectl port-forward -n monitoring service/monitoring-frontend-grafana-app01-001 8080:80\r\n```\r\n\r\n[http://127.0.0.1:8080/](http://127.0.0.1:8080/])","collectorType":"Other","collectorConfig":"```\r\nserver:\r\n  http_listen_port: 9080\r\n  grpc_listen_port: 0\r\npositions:\r\n  filename: /tmp/positions.yaml\r\nclients:\r\n  - url: http://monitoring-frontend-loki-app01-001.monitoring.svc.cluster.local:3100/loki/api/v1/push\r\nscrape_configs:\r\n- job_name: kubernetes-pods-app\r\n  kubernetes_sd_configs:\r\n  - role: pod\r\n  relabel_configs:\r\n  - target_label: __service__\r\n    source_labels: [__meta_kubernetes_pod_label_app]\r\n  - target_label: __host__\r\n    source_labels: [__meta_kubernetes_pod_node_name]\r\n  - action: replace\r\n    separator: /\r\n    replacement: $1\r\n    target_label: job\r\n    source_labels: [__meta_kubernetes_namespace, __service__]\r\n  - action: replace\r\n    source_labels:\r\n    - __meta_kubernetes_namespace\r\n    target_label: namespace\r\n  - action: replace\r\n    target_label: pod_name\r\n    source_labels: [__meta_kubernetes_pod_name]\r\n  - action: replace\r\n    target_label: container_name\r\n    source_labels: [__meta_kubernetes_pod_container_name]\r\n  - action: labelmap\r\n    regex: __meta_kubernetes_pod_label_(.+)\r\n  - target_label: __path__\r\n    separator: /\r\n    replacement: /var/log/pods/*$1/*.log\r\n    source_labels: [__meta_kubernetes_pod_uid, __meta_kubernetes_pod_container_name]\r\n- job_name: system\r\n  static_configs:\r\n  - targets:\r\n      - localhost\r\n    labels:\r\n      job: varlogs\r\n      __path__: /var/log/*log\r\n- job_name: journal\r\n  journal:\r\n    max_age: 12h\r\n    path: /var/log/journal\r\n    labels:\r\n      job: system-journal\r\n  relabel_configs:\r\n    - source_labels: ['__journal__systemd_unit']\r\n      target_label: 'unit'\r\n    - source_labels:\r\n      - __journal__hostname\r\n      target_label: nodename\r\n    - source_labels:\r\n      - __journal_syslog_identifier\r\n      target_label: syslog_identifier\r\n```","collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2022-05-06T03:37:16.000Z","updatedAt":"2023-12-09T11:18:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16226"},{"rel":"revisions","href":"/dashboards/16226/revisions"},{"rel":"revision","href":"/dashboards/16226/revisions/4"},{"rel":"download","href":"/dashboards/16226/revisions/4/download"},{"rel":"org","href":"/orgs/aim4highergg"},{"rel":"images","href":"/dashboards/16226/images"},{"rel":"thumbnails","href":"/dashboards/16226/thumbnails"}],"datasourceSlugs":["loki"]},{"id":19782,"status":1,"statusCode":"active","orgId":965605,"orgSlug":"wellingtonbastos","orgName":"wellingtonbastos","slug":"loki-accesslogs","downloads":367814,"revisionId":30387,"revision":1,"name":"Loki:AccessLogs","description":"Loki dashboards for promtail metrics","readme":"xxx","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2023-10-17T13:25:34.000Z","updatedAt":"2024-02-16T13:30:34.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19782"},{"rel":"revisions","href":"/dashboards/19782/revisions"},{"rel":"revision","href":"/dashboards/19782/revisions/1"},{"rel":"download","href":"/dashboards/19782/revisions/1/download"},{"rel":"org","href":"/orgs/wellingtonbastos"},{"rel":"images","href":"/dashboards/19782/images"},{"rel":"thumbnails","href":"/dashboards/19782/thumbnails"}],"datasourceSlugs":["loki"]},{"id":16227,"status":1,"statusCode":"active","orgId":642598,"orgSlug":"aim4highergg","orgName":"AimHigherGG","slug":"loki-namespacelogs","downloads":82633,"revisionId":30921,"revision":3,"name":"Loki:NamespaceLogs","description":"Loki dashboards for promtail metrics","readme":"[kubernetes monitoring github code](https://github.com/AbeYuki/monitoring-k8s)\r\n\r\n# Quick start(minikube)\r\n```\r\nminikube start --cpus 3 --memory 5G\r\n```\r\n```\r\ngit clone git@github.com:AbeYuki/monitoring-k8s.git\r\n```\r\n```\r\ncd monitoring-k8s/overlay/testing/\r\n```\r\n```\r\nkubectl apply -f namespace.yaml\r\n```\r\n```\r\nkubectl apply -k secret/\r\n```\r\n```\r\nkubectl apply -k ./\r\n```\r\n```\r\nkubectl port-forward -n monitoring service/monitoring-frontend-grafana-app01-001 8080:80\r\n```\r\n\r\n[http://127.0.0.1:8080/](http://127.0.0.1:8080/])","collectorType":"Other","collectorConfig":"```\r\nserver:\r\n  http_listen_port: 9080\r\n  grpc_listen_port: 0\r\npositions:\r\n  filename: /tmp/positions.yaml\r\nclients:\r\n  - url: http://monitoring-frontend-loki-app01-001.monitoring.svc.cluster.local:3100/loki/api/v1/push\r\nscrape_configs:\r\n- job_name: kubernetes-pods-app\r\n  kubernetes_sd_configs:\r\n  - role: pod\r\n  relabel_configs:\r\n  - target_label: __service__\r\n    source_labels: [__meta_kubernetes_pod_label_app]\r\n  - target_label: __host__\r\n    source_labels: [__meta_kubernetes_pod_node_name]\r\n  - action: replace\r\n    separator: /\r\n    replacement: $1\r\n    target_label: job\r\n    source_labels: [__meta_kubernetes_namespace, __service__]\r\n  - action: replace\r\n    source_labels:\r\n    - __meta_kubernetes_namespace\r\n    target_label: namespace\r\n  - action: replace\r\n    target_label: pod_name\r\n    source_labels: [__meta_kubernetes_pod_name]\r\n  - action: replace\r\n    target_label: container_name\r\n    source_labels: [__meta_kubernetes_pod_container_name]\r\n  - action: labelmap\r\n    regex: __meta_kubernetes_pod_label_(.+)\r\n  - target_label: __path__\r\n    separator: /\r\n    replacement: /var/log/pods/*$1/*.log\r\n    source_labels: [__meta_kubernetes_pod_uid, __meta_kubernetes_pod_container_name]\r\n- job_name: system\r\n  static_configs:\r\n  - targets:\r\n      - localhost\r\n    labels:\r\n      job: varlogs\r\n      __path__: /var/log/*log\r\n- job_name: journal\r\n  journal:\r\n    max_age: 12h\r\n    path: /var/log/journal\r\n    labels:\r\n      job: system-journal\r\n  relabel_configs:\r\n    - source_labels: ['__journal__systemd_unit']\r\n      target_label: 'unit'\r\n    - source_labels:\r\n      - __journal__hostname\r\n      target_label: nodename\r\n    - source_labels:\r\n      - __journal_syslog_identifier\r\n      target_label: syslog_identifier\r\n```","collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2022-05-06T03:48:19.000Z","updatedAt":"2023-12-09T11:19:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16227"},{"rel":"revisions","href":"/dashboards/16227/revisions"},{"rel":"revision","href":"/dashboards/16227/revisions/3"},{"rel":"download","href":"/dashboards/16227/revisions/3/download"},{"rel":"org","href":"/orgs/aim4highergg"},{"rel":"images","href":"/dashboards/16227/images"},{"rel":"thumbnails","href":"/dashboards/16227/thumbnails"}],"datasourceSlugs":["loki"]},{"id":19779,"status":1,"statusCode":"active","orgId":965605,"orgSlug":"wellingtonbastos","orgName":"wellingtonbastos","slug":"loki-namespacelogs","downloads":367906,"revisionId":30384,"revision":1,"name":"Loki:NamespaceLogs","description":"Loki dashboards for promtail metrics\r\n\r\nLoki:NamespaceLogs","readme":"dashboard for Loki:NamespaceLogsby","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2023-10-17T12:24:50.000Z","updatedAt":"2023-11-22T20:46:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19779"},{"rel":"revisions","href":"/dashboards/19779/revisions"},{"rel":"revision","href":"/dashboards/19779/revisions/1"},{"rel":"download","href":"/dashboards/19779/revisions/1/download"},{"rel":"org","href":"/orgs/wellingtonbastos"},{"rel":"images","href":"/dashboards/19779/images"},{"rel":"thumbnails","href":"/dashboards/19779/thumbnails"}],"datasourceSlugs":["loki"]},{"id":16228,"status":1,"statusCode":"active","orgId":642598,"orgSlug":"aim4highergg","orgName":"AimHigherGG","slug":"loki-systemlogs","downloads":460,"revisionId":30922,"revision":3,"name":"Loki:SystemLogs","description":"Loki dashboards for promtail metrics","readme":"[kubernetes monitoring github code](https://github.com/AbeYuki/monitoring-k8s)\r\n\r\n# Quick start(minikube)\r\n```\r\nminikube start --cpus 3 --memory 5G\r\n```\r\n```\r\ngit clone git@github.com:AbeYuki/monitoring-k8s.git\r\n```\r\n```\r\ncd monitoring-k8s/overlay/testing/\r\n```\r\n```\r\nkubectl apply -f namespace.yaml\r\n```\r\n```\r\nkubectl apply -k secret/\r\n```\r\n```\r\nkubectl apply -k ./\r\n```\r\n```\r\nkubectl port-forward -n monitoring service/monitoring-frontend-grafana-app01-001 8080:80\r\n```\r\n[http://127.0.0.1:8080/](http://127.0.0.1:8080/])","collectorType":"Other","collectorConfig":"```\r\nserver:\r\n  http_listen_port: 9080\r\n  grpc_listen_port: 0\r\npositions:\r\n  filename: /tmp/positions.yaml\r\nclients:\r\n  - url: http://monitoring-frontend-loki-app01-001.monitoring.svc.cluster.local:3100/loki/api/v1/push\r\nscrape_configs:\r\n- job_name: kubernetes-pods-app\r\n  kubernetes_sd_configs:\r\n  - role: pod\r\n  relabel_configs:\r\n  - target_label: __service__\r\n    source_labels: [__meta_kubernetes_pod_label_app]\r\n  - target_label: __host__\r\n    source_labels: [__meta_kubernetes_pod_node_name]\r\n  - action: replace\r\n    separator: /\r\n    replacement: $1\r\n    target_label: job\r\n    source_labels: [__meta_kubernetes_namespace, __service__]\r\n  - action: replace\r\n    source_labels:\r\n    - __meta_kubernetes_namespace\r\n    target_label: namespace\r\n  - action: replace\r\n    target_label: pod_name\r\n    source_labels: [__meta_kubernetes_pod_name]\r\n  - action: replace\r\n    target_label: container_name\r\n    source_labels: [__meta_kubernetes_pod_container_name]\r\n  - action: labelmap\r\n    regex: __meta_kubernetes_pod_label_(.+)\r\n  - target_label: __path__\r\n    separator: /\r\n    replacement: /var/log/pods/*$1/*.log\r\n    source_labels: [__meta_kubernetes_pod_uid, __meta_kubernetes_pod_container_name]\r\n- job_name: system\r\n  static_configs:\r\n  - targets:\r\n      - localhost\r\n    labels:\r\n      job: varlogs\r\n      __path__: /var/log/*log\r\n- job_name: journal\r\n  journal:\r\n    max_age: 12h\r\n    path: /var/log/journal\r\n    labels:\r\n      job: system-journal\r\n  relabel_configs:\r\n    - source_labels: ['__journal__systemd_unit']\r\n      target_label: 'unit'\r\n    - source_labels:\r\n      - __journal__hostname\r\n      target_label: nodename\r\n    - source_labels:\r\n      - __journal_syslog_identifier\r\n      target_label: syslog_identifier\r\n```","collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2022-05-06T03:50:19.000Z","updatedAt":"2023-12-09T11:19:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16228"},{"rel":"revisions","href":"/dashboards/16228/revisions"},{"rel":"revision","href":"/dashboards/16228/revisions/3"},{"rel":"download","href":"/dashboards/16228/revisions/3/download"},{"rel":"org","href":"/orgs/aim4highergg"},{"rel":"images","href":"/dashboards/16228/images"},{"rel":"thumbnails","href":"/dashboards/16228/thumbnails"}],"datasourceSlugs":["loki"]},{"id":13407,"status":1,"statusCode":"active","orgId":260580,"orgSlug":"cloudxiaobai","orgName":"Link","slug":"loki2-0-global-metrics","downloads":820768,"revisionId":19535,"revision":1,"name":"Loki2.0 Global Metrics","description":"Loki metrics via 2.0","readme":"### 面板版本信息： Grafana v7.3.1 +  Loki2.0.0 \r\n\r\nLoki依赖了部分服务\r\n\r\n- Cassandra （Index）\r\n- S3 （Chunk）\r\n- Redis（Cache）\r\n\r\nLoki部署部分可以参考我的demo,里面有loki集群的部署和依赖服务的配置\r\n\r\n[https://github.com/CloudXiaobai/loki-cluster-deploy](https://github.com/CloudXiaobai/loki-cluster-deploy)\r\n\r\n---\r\n\r\n关注『云原生小白』公众号回复「入群」，加入Loki学习群，一起搬砖...\r\n\r\n![](https://github.com/CloudmindsRobot/dagger/blob/main/docs/qrcode.jpg?raw=true)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-16T09:03:33.000Z","updatedAt":"2020-11-16T11:08:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4.5,"links":[{"rel":"self","href":"/dashboards/13407"},{"rel":"revisions","href":"/dashboards/13407/revisions"},{"rel":"revision","href":"/dashboards/13407/revisions/1"},{"rel":"download","href":"/dashboards/13407/revisions/1/download"},{"rel":"org","href":"/orgs/cloudxiaobai"},{"rel":"images","href":"/dashboards/13407/images"},{"rel":"thumbnails","href":"/dashboards/13407/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19772,"status":1,"statusCode":"active","orgId":965605,"orgSlug":"wellingtonbastos","orgName":"wellingtonbastos","slug":"loki2-0-global-metricss","downloads":367980,"revisionId":30377,"revision":1,"name":"Loki2.0 Global Metrics","description":"Loki metrics via 2.0","readme":"dashboard for loki v2","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-10-16T21:00:40.000Z","updatedAt":"2023-10-16T21:06:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19772"},{"rel":"revisions","href":"/dashboards/19772/revisions"},{"rel":"revision","href":"/dashboards/19772/revisions/1"},{"rel":"download","href":"/dashboards/19772/revisions/1/download"},{"rel":"org","href":"/orgs/wellingtonbastos"},{"rel":"images","href":"/dashboards/19772/images"},{"rel":"thumbnails","href":"/dashboards/19772/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18523,"status":1,"statusCode":"active","orgId":836532,"orgSlug":"polisek","orgName":"polisek","slug":"loki2-0-global-metrics","downloads":301,"revisionId":28407,"revision":1,"name":"Loki2.0 Global 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Loki","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2022-01-21T03:29:02.000Z","updatedAt":"2022-01-21T03:33:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15587"},{"rel":"revisions","href":"/dashboards/15587/revisions"},{"rel":"revision","href":"/dashboards/15587/revisions/1"},{"rel":"download","href":"/dashboards/15587/revisions/1/download"},{"rel":"org","href":"/orgs/liusongwei0920"},{"rel":"images","href":"/dashboards/15587/images"},{"rel":"thumbnails","href":"/dashboards/15587/thumbnails"}],"datasourceSlugs":["loki"]},{"id":23521,"status":1,"statusCode":"active","orgId":45440,"orgSlug":"bartvanbos","orgName":"Bart Van Bos","slug":"longhorn-dashboard","downloads":2580,"revisionId":37414,"revision":2,"name":"Longhorn Dashboard","description":"High-level view of Longhorn - useful for monitoring, alerting and 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PHP-FPM.\r\n#### **Logs**\r\n- **Magento 2**: \r\n  - `var/log/system.log`\r\n  - `var/log/exception.log`\r\n  - `var/reports/*`\r\n\r\n\r\n- **Server Logs**:\r\n  - `access.log`\r\n  - `error.log`\r\n  - `php-fpm.log`\r\n\r\n\r\n#### **Nginx Log Formatting**\r\n```\r\nlog_format '$remote_addr - $remote_user [$time_local] '\r\n           '\"$request\" $status $body_bytes_sent '\r\n           '\"$http_referer\" \"$http_user_agent\"';\r\n```\r\n\r\n\r\n#### **Promtail example config**\r\n```\r\nserver:\r\n  http_listen_port: 9080\r\n  grpc_listen_port: 0\r\n  http_listen_address: 127.0.0.1\r\n\r\npositions:\r\n  filename: /opt/promtail/positions.yaml\r\n\r\nclients:\r\n- url: http://loki-endpoing:3100/loki/api/v1/push\r\n\r\nscrape_configs:\r\n- job_name: magento_exception_log\r\n  pipeline_stages:\r\n  - multiline:\r\n      firstline: '\\[(\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{6}\\+\\d{2}:\\d{2})\\]'\r\n      max_wait_time: 5s\r\n  static_configs:\r\n  - targets:\r\n      - localhost\r\n    labels:\r\n      engine: magento\r\n      log_type: exception\r\n      brand: mybrand\r\n      service: magento\r\n      __path__: /path/to/var/log/exception.log\r\n\r\n- job_name: magento_system_log\r\n  pipeline_stages:\r\n  - multiline:\r\n      firstline: '\\[(\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{6}\\+\\d{2}:\\d{2})\\]'\r\n      max_wait_time: 5s\r\n  static_configs:\r\n  - targets:\r\n      - localhost\r\n    labels:\r\n      engine: magento\r\n      log_type: system\r\n      brand: mybrand\r\n      service: magento\r\n      __path__: /path/to/var/log/system.log\r\n\r\n- job_name: magento_report\r\n  static_configs:\r\n  - targets:\r\n      - localhost\r\n    labels:\r\n      engine: magento\r\n      log_type: report\r\n      brand: mybrand\r\n      service: magento\r\n      __path__: /path/to/var/report/*\r\n\r\n- job_name: web_access\r\n  static_configs:\r\n  - targets:\r\n      - localhost\r\n    labels:\r\n      engine: magento\r\n      log_type: web_access\r\n      brand: mybrand\r\n      service: nginx\r\n      __path__: /var/log/nginx/mybrand-access.log\r\n\r\n- job_name: web_error\r\n  static_configs:\r\n  - targets:\r\n      - localhost\r\n    labels:\r\n      engine: magento\r\n      log_type: web_error\r\n      brand: mybrand\r\n      service: nginx\r\n      __path__: /var/log/nginx/mybrand-error.log\r\n\r\n- job_name: phpfpm\r\n  static_configs:\r\n  - targets:\r\n      - localhost\r\n    labels:\r\n      engine: magento\r\n      log_type: phpfpm\r\n      brand: mybrand\r\n      service: phpfpm\r\n      __path__: /var/log/php-fpm.log\r\n```","collectorType":"Other","collectorConfig":"","collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2024-09-27T09:53:56.000Z","updatedAt":"2024-10-27T20:55:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21980"},{"rel":"revisions","href":"/dashboards/21980/revisions"},{"rel":"revision","href":"/dashboards/21980/revisions/3"},{"rel":"download","href":"/dashboards/21980/revisions/3/download"},{"rel":"org","href":"/orgs/sandweel"},{"rel":"images","href":"/dashboards/21980/images"},{"rel":"thumbnails","href":"/dashboards/21980/thumbnails"}],"datasourceSlugs":["loki"]},{"id":10584,"status":1,"statusCode":"active","orgId":266674,"orgSlug":"guitarrapc","orgName":"guitarrapc","slug":"magiconion-overview","downloads":569,"revisionId":17770,"revision":9,"name":"MagicOnion Overview","description":"overview of MagicOnion metrics collected via Open Telemetry","readme":"## 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Supports multi-client monitoring.","readme":"## MCP Server Observability Dashboard\r\n\r\nComprehensive monitoring dashboard for [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) servers — the open standard enabling AI assistants to invoke tools, access resources, and interact with external systems.\r\n\r\n### What This Dashboard Shows\r\n\r\nOrganized into 10 sections covering the full MCP observability stack:\r\n\r\n| Section | Key Panels |\r\n|---------|-----------|\r\n| **Overview** | Total tool calls, error rate gauge, active sessions, in-flight concurrency, handshake success rate |\r\n| **Multi-Client Breakdown** | Per-client call rates, active sessions by client |\r\n| **Transport Layer** | Connection distribution by transport type (streamable-http, SSE, WebSocket), reconnection events, handshake success/failure |\r\n| **Protocol & Messages** | Message rates by JSON-RPC method, request-response latency (p50/p95/p99), JSON-RPC error codes, protocol version distribution, message size |\r\n| **Tool Execution** | Invocation rate per tool, execution time percentiles, success vs error rate, error type classification, concurrent in-flight calls, result payload sizes |\r\n| **Agentic & Token Metrics** | Token usage (input/output) per tool, hallucination detection (calls to non-existent tools), prompt template usage, self-correction rate, turns-to-completion, task success rate |\r\n| **Rate Limiting** | Throttle events by client/tool, currently rate-limited clients |\r\n| **Resource Access** | Top accessed resources, response sizes, error rates, access anomaly detection |\r\n| **Sessions & Connections** | Session duration percentiles, disconnect reasons by client |\r\n| **System Resources** | CPU and memory usage of the MCP server process |\r\n\r\nDashboard variables allow filtering by `client_id` and `tool_name`.\r\n\r\n### How Metrics Are Collected\r\n\r\n**Metrics collection**: No external collector/agent. The MCP server exposes Prometheus metrics directly at /metrics using prometheus_client. Prometheus scrapes this endpoint every 5s.\r\n\r\n**Distributed tracing**: OpenTelemetry SDK embedded in the application creates spans for every tool call, exported via OTLP gRPC to Jaeger (or any OTLP-compatible backend like Tempo/Grafana Cloud)\r\n\r\n\r\n###  Data Source\r\n\r\nType: Prometheus\r\nOptional: Tempo data source for tracing\r\n\r\n###  Requirements\r\nGrafana 9.0+\r\nPrometheus 2.40+\r\n\r\n\r\nFull source code and instrumentation library: https://github.com/tyagian/mcp_server_observability","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-05-03T19:45:41.000Z","updatedAt":"2026-05-04T02:18:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25252"},{"rel":"revisions","href":"/dashboards/25252/revisions"},{"rel":"revision","href":"/dashboards/25252/revisions/1"},{"rel":"download","href":"/dashboards/25252/revisions/1/download"},{"rel":"org","href":"/orgs/anujajtyagi"},{"rel":"images","href":"/dashboards/25252/images"},{"rel":"thumbnails","href":"/dashboards/25252/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4394,"status":1,"statusCode":"active","orgId":114452,"orgSlug":"oleg1628","orgName":"Oleg Glushak","slug":"mdadm","downloads":1697,"revisionId":5903,"revision":1,"name":"mdadm","description":"Prometheus node_exporter mdadm module dashboard. Per Server and per md view","readme":"This dashboard is for the prometheus/node_exporter mdadm module. It shows:\r\n\r\n- Active Disks Stat\r\n- Installed Disks Stat\r\n- Block Sync Ratio Stat\r\n- Sync Ratio (Total, Synced Blocks) Graphs\r\n","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-01-19T08:59:28.000Z","updatedAt":"2018-04-03T16:03:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4394"},{"rel":"revisions","href":"/dashboards/4394/revisions"},{"rel":"revision","href":"/dashboards/4394/revisions/1"},{"rel":"download","href":"/dashboards/4394/revisions/1/download"},{"rel":"org","href":"/orgs/oleg1628"},{"rel":"images","href":"/dashboards/4394/images"},{"rel":"thumbnails","href":"/dashboards/4394/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14195,"status":1,"statusCode":"active","orgId":480101,"orgSlug":"sonerturgut","orgName":"Soner Turgut","slug":"mds-performance","downloads":328,"revisionId":20863,"revision":1,"name":"MDS Performance","description":"MDS Performance","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-04-07T08:26:39.000Z","updatedAt":"2021-04-07T08:27:02.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14195"},{"rel":"revisions","href":"/dashboards/14195/revisions"},{"rel":"revision","href":"/dashboards/14195/revisions/1"},{"rel":"download","href":"/dashboards/14195/revisions/1/download"},{"rel":"org","href":"/orgs/sonerturgut"},{"rel":"images","href":"/dashboards/14195/images"},{"rel":"thumbnails","href":"/dashboards/14195/thumbnails"}]},{"id":18789,"status":1,"statusCode":"active","orgId":781587,"orgSlug":"alessiasabia","orgName":"alessiasabia","slug":"measurement-per-person-1","downloads":268,"revisionId":28812,"revision":1,"name":"measurement per person (1)","description":"measurement per person","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2023-05-19T15:24:35.000Z","updatedAt":"2023-05-19T15:25:11.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18789"},{"rel":"revisions","href":"/dashboards/18789/revisions"},{"rel":"revision","href":"/dashboards/18789/revisions/1"},{"rel":"download","href":"/dashboards/18789/revisions/1/download"},{"rel":"org","href":"/orgs/alessiasabia"},{"rel":"images","href":"/dashboards/18789/images"},{"rel":"thumbnails","href":"/dashboards/18789/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":8232,"status":1,"statusCode":"active","orgId":196776,"orgSlug":"rodrigoferrari","orgName":"rodrigoferrari","slug":"zimbra-collaboration-system-dashboard","downloads":320,"revisionId":11256,"revision":1,"name":"MECMAIL","description":"Mecmail monitoramento.","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-10-04T19:07:51.000Z","updatedAt":"2018-10-04T19:09:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8232"},{"rel":"revisions","href":"/dashboards/8232/revisions"},{"rel":"revision","href":"/dashboards/8232/revisions/1"},{"rel":"download","href":"/dashboards/8232/revisions/1/download"},{"rel":"org","href":"/orgs/rodrigoferrari"},{"rel":"images","href":"/dashboards/8232/images"},{"rel":"thumbnails","href":"/dashboards/8232/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17234,"status":1,"statusCode":"active","orgId":377006,"orgSlug":"hbenkel","orgName":"hbenkel","slug":"medidores","downloads":279,"revisionId":26470,"revision":1,"name":"MEDIDORES","description":"test 1","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2022-10-20T13:25:50.000Z","updatedAt":"2022-10-20T13:27:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17234"},{"rel":"revisions","href":"/dashboards/17234/revisions"},{"rel":"revision","href":"/dashboards/17234/revisions/1"},{"rel":"download","href":"/dashboards/17234/revisions/1/download"},{"rel":"org","href":"/orgs/hbenkel"},{"rel":"images","href":"/dashboards/17234/images"},{"rel":"thumbnails","href":"/dashboards/17234/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":20085,"status":1,"statusCode":"active","orgId":951233,"orgSlug":"dexterous","orgName":"dexterous","slug":"minecraft","downloads":256,"revisionId":30875,"revision":1,"name":"Medii Aevi","description":"Medii Aevi ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-12-04T23:25:24.000Z","updatedAt":"2023-12-04T23:26:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20085"},{"rel":"revisions","href":"/dashboards/20085/revisions"},{"rel":"revision","href":"/dashboards/20085/revisions/1"},{"rel":"download","href":"/dashboards/20085/revisions/1/download"},{"rel":"org","href":"/orgs/dexterous"},{"rel":"images","href":"/dashboards/20085/images"},{"rel":"thumbnails","href":"/dashboards/20085/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24485,"status":1,"statusCode":"active","orgId":766988,"orgSlug":"woblerr","orgName":"woblerr","slug":"medusa-exporter-dashboard","downloads":51,"revisionId":39184,"revision":1,"name":"Medusa Exporter Dashboard","description":"Dashboard works with medusa_exporter","readme":"# Grafana dashboard for medusa_exporter\r\n\r\nA dashboard of metrics produced by [medusa_exporter](https://github.com/woblerr/medusa_exporter).\r\n\r\nTo get this dashboard from **grafana.com**: [Medusa Exporter Dashboard](https://grafana.com/grafana/dashboards/24485-medusa-exporter-dashboard/).\r\n\r\nTo get this dashboard from **github.com**: [Medusa Exporter Dashboard](https://github.com/woblerr/medusa_exporter-dashboard).\r\n\r\n## Compatibility with Medusa exporter versions\r\n\r\nDepending on the version of the medusa_exporter, it is recommended to use different versions of the dashboard.\r\n\r\n| Dashboard version | medusa_exporter version |\r\n|---|---|\r\n| `rev1` | `>= v0.2.0` |","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-11-28T16:13:40.000Z","updatedAt":"2025-11-28T16:25:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24485"},{"rel":"revisions","href":"/dashboards/24485/revisions"},{"rel":"revision","href":"/dashboards/24485/revisions/1"},{"rel":"download","href":"/dashboards/24485/revisions/1/download"},{"rel":"org","href":"/orgs/woblerr"},{"rel":"images","href":"/dashboards/24485/images"},{"rel":"thumbnails","href":"/dashboards/24485/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19818,"status":1,"statusCode":"active","orgId":225578,"orgSlug":"sobaka","orgName":"sobaka","slug":"megaraid","downloads":342,"revisionId":30439,"revision":1,"name":"Megaraid","description":"Dashboard for megaraid controller","readme":"Megaraid Dashboard baremetal host machine.\r\n\r\nShow metrics:\r\n* Show slot stats, temperature, events of physical disks\r\n* Show state of virtual devices\r\n* Show state of controller\r\n* Show state of Battery\r\n\r\ngrafana->graphite->collectd","collectorType":"collectd","collectorConfig":"```LoadPlugin python\r\n<Plugin python>\r\n\tModulePath \"/opt/collectd/python\"\r\n\r\n\tImport \"megaraid\"\r\n\t<Module megaraid>\r\n#\t\tVerbose true\r\n\t\tInterval 28800\r\n\t</Module>\r\n</Plugin>\r\n```\r\n\r\n### /opt/collectd/python/megaraid.py\r\n\r\n```\r\nfrom subprocess import Popen, PIPE\r\nimport collectd\r\n\r\nclass Megaraid():\r\n\r\n    def __init__(self):\r\n        self.plugin_name = 'megaraid'\r\n        self.verbose_logging = False\r\n        self.megacli = '/usr/sbin/megacli'\r\n        self.interval = 28800\r\n        self.ld_states = {'Optimal': 0,\r\n                          'Background Initialization': 1,\r\n                          'Initialization': 2,\r\n                          'Reconstruction': 3,\r\n                          'Consistency Check': 4,\r\n                          'Partially Degraded': 5,\r\n                          'Degraded': 6}\r\n        self.bbu_states = {'Optimal': 0,\r\n                           'Missing': 1,\r\n                           'Learning': 2,\r\n                           'Failed': 3,\r\n                           'Degraded': 4,\r\n                           'Unknown': 5}\r\n        self.pd_states = {'Online, Spun Up': 0,\r\n                          'Online, Spun down': 1,\r\n                          'Online, Transition': 2,\r\n                          'Configured - shielded': 3,\r\n                          'CopyBack - shielded': 4,\r\n                          'Copyback': 5,\r\n                          'Rebuild': 6,\r\n                          'Hotspare, Spun Up': 7,\r\n                          'Hotspare, Spun down': 8,\r\n                          'Hotspare, Transition': 9,\r\n                          'Hot Spare - shielded': 10,\r\n                          'JBOD': 11,\r\n                          'Offline': 12,\r\n                          'UnConfigured - shielded': 13,\r\n                          'Unconfigured(good), Spun Up': 14,\r\n                          'Unconfigured(good), Spun down': 15,\r\n                          'Unconfigured(good), Transition': 16,\r\n                          'Unconfigured(bad)': 17,\r\n                          'Failed': 18}\r\n        self.pd_linkspeeds = {'1.5Gb/s': 1.5,\r\n                              '3.0Gb/s': 3.0,\r\n                              '6.0Gb/s': 6.0,\r\n                              '12.0Gb/s': 12.0}\r\n\r\n    def log_verbose(self, msg):\r\n        if not self.verbose_logging:\r\n            return\r\n        collectd.info('%s plugin [verbose]: %s' % (self.plugin_name, msg))\r\n\r\n    def getdata(self, cmd):\r\n        self.log_verbose(\"cmd: %s\" % ' '.join(cmd))\r\n        raw = Popen(cmd, stdout=PIPE, stderr=PIPE).communicate()[0]\r\n        return raw.decode().split('\\n')\r\n\r\n    def store(self, key, val):\r\n        if val != '':\r\n            box = collectd.Values(type='gauge', plugin=self.plugin_name,\r\n                                  type_instance=key, values=[val])\r\n            box.dispatch()\r\n            self.log_verbose('Sending value: %s:%s' % (key, val))\r\n        else:\r\n            self.log_verbose('Ignore empty value: %s:%s' % (key, val))\r\n\r\n    def adpallinfo(self):\r\n        ret = {}\r\n        for line in self.getdata([self.megacli, '-AdpAllInfo', '-aALL', '-NoLog']):\r\n            arr = line.split()\r\n            if len(arr) > 2:\r\n                if arr[0] == 'Degraded':\r\n                    ret['virtual_drives_degraded'] = arr[2]\r\n                elif arr[0] == 'Offline':\r\n                    ret['virtual_drives_offline'] = arr[2]\r\n                elif arr[0] == 'Disks':\r\n                    ret['physical_devices_disks'] = arr[2]\r\n                elif arr[0] == 'Virtual' and arr[1] == 'Drives':\r\n                    ret['virtual_drives'] = arr[3]\r\n                elif arr[0] == 'Physical' and arr[1] == 'Devices':\r\n                    ret['physical_devices'] = arr[3]\r\n                elif arr[0] == 'Critical':\r\n                    ret['physical_devices_critical_disks'] = arr[3]\r\n                elif arr[0] == 'Failed':\r\n                    ret['physical_devices_failed_disks'] = arr[3]\r\n                elif arr[0] == 'Memory':\r\n                    if arr[1] == 'Correctable':\r\n                        ret['memory_correctable_errors'] = arr[4]\r\n                    elif arr[1] == 'Uncorrectable':\r\n                        ret['memory_uncorrectable_errors'] = arr[4]\r\n                elif arr[1] == 'temperature':\r\n                    if arr[0] == 'ROC':\r\n                        ret['temperature_roc'] = arr[3]\r\n                    elif arr[0] == 'Controller':\r\n                        ret['temperature_controller'] = arr[3]\r\n        return ret\r\n\r\n    def getbbustatus(self):\r\n        ret = {}\r\n        for line in self.getdata([self.megacli, '-AdpBbuCmd', '-GetBbuStatus', '-aALL', '-NoLog']):\r\n            arr = line.split()\r\n            if len(arr) > 2:\r\n                if arr[0] == 'Voltage:':\r\n                    ret['bbu_voltage'] = arr[1]\r\n                elif arr[0] == 'Current:':\r\n                    ret['bbu_current'] = arr[1]\r\n                elif arr[0] == 'Temperature:':\r\n                    ret['bbu_temperature'] = arr[1]\r\n                elif arr[0] == 'Battery' and arr[1] == 'State:':\r\n                    state = arr[2][0:8]\r\n                    if state in self.bbu_states:\r\n                        ret['bbu_state'] = self.bbu_states[state]\r\n                elif arr[0] == 'Relative' and arr[1] == 'State':\r\n                    ret['bbu_relative_state_of_charge'] = arr[4]\r\n                elif arr[0] == 'Remaining' and arr[1] == 'Capacity:':\r\n                    ret['bbu_remaining_capacity'] = arr[2]\r\n                elif arr[0] == 'Full':\r\n                    ret['bbu_full_charge_capacity'] = arr[3]\r\n        return ret\r\n\r\n    def ldinfo(self):\r\n        ret = {}\r\n        for line in self.getdata([self.megacli, '-LDInfo', '-Lall', '-aALL', '-NoLog']):\r\n            arr = line.split()\r\n            if len(arr) > 1:\r\n                if arr[0] == 'Virtual':\r\n                    vd = arr[2]\r\n                elif arr[0] == 'State':\r\n                    state = ' '.join(arr[2:])\r\n                    if state in self.ld_states:\r\n                        ret['vd%s__state' % vd] = self.ld_states[state]\r\n                elif arr[0] == 'Bad':\r\n                    ret['vd%s__bad_blocks_exists' % vd] = int(arr[3] != 'No')\r\n        return ret\r\n\r\n    def pdlist(self):\r\n        ret = {}\r\n        for line in self.getdata([self.megacli, '-PDList', '-aALL', '-NoLog']):\r\n            arr = line.split()\r\n            if len(arr) > 2:\r\n                if arr[0] == 'Slot':\r\n                    slot = arr[2]\r\n                elif arr[0] == 'Predictive':\r\n                    ret['slot%s__predictive_failure' % slot] = arr[3]\r\n                elif arr[0] == 'Shield':\r\n                    ret['slot%s__shield' % slot] = arr[2]\r\n                elif arr[0] == 'Firmware':\r\n                    state = ' '.join(arr[2:])\r\n                    if state in self.pd_states:\r\n                        ret['slot%s__state' % slot] = self.pd_states[state]\r\n                elif arr[1] == 'Linkspeed:':\r\n                    if arr[2] in self.pd_linkspeeds:\r\n                        ret['slot%s__linkspeed' % slot] = self.pd_linkspeeds[arr[2]]\r\n                elif arr[1] == 'Error':\r\n                    if arr[0] == 'Media':\r\n                        ret['slot%s__error_media' % slot] = arr[3]\r\n                    elif arr[0] == 'Other':\r\n                        ret['slot%s__error_other' % slot] = arr[3]\r\n                elif arr[1] == 'Temperature':\r\n                    ret['slot%s__temperature' % slot] = arr[2][1:-1]\r\n        return ret\r\n\r\n    def read(self):\r\n        for key, value in self.adpallinfo().items():\r\n            self.store(key, value)\r\n        for key, value in self.getbbustatus().items():\r\n            self.store(key, value)\r\n        for key, value in self.ldinfo().items():\r\n            self.store(key, value)\r\n        for key, value in self.pdlist().items():\r\n            self.store(key, value)\r\n\r\n    def configure_callback(self, conf):\r\n        for node in conf.children:\r\n            vals = [str(v) for v in node.values]\r\n            if node.key == 'Verbose':\r\n                self.verbose_logging = (vals[0].lower() == 'true')\r\n            elif node.key == 'Interval':\r\n                self.interval = float(vals[0])\r\n            else:\r\n                raise ValueError('%s plugin: Unknown config key: %s' % (self.plugin_name, node.key))\r\n        collectd.register_read(self.read, self.interval)\r\n        self.log_verbose('configured with interval=%s' % self.interval)\r\n\r\n\r\nAPPMEGARAID = Megaraid()\r\ncollectd.register_config(APPMEGARAID.configure_callback)\r\n```","collectorPluginList":"Python plugin, Write Graphite plugin","datasource":"Graphite","privacy":"public","createdAt":"2023-10-20T11:22:24.000Z","updatedAt":"2023-10-20T11:42:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19818"},{"rel":"revisions","href":"/dashboards/19818/revisions"},{"rel":"revision","href":"/dashboards/19818/revisions/1"},{"rel":"download","href":"/dashboards/19818/revisions/1/download"},{"rel":"org","href":"/orgs/sobaka"},{"rel":"images","href":"/dashboards/19818/images"},{"rel":"thumbnails","href":"/dashboards/19818/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":21442,"status":1,"statusCode":"active","orgId":520198,"orgSlug":"vewvqww","orgName":"vewvqww","slug":"meilisearch","downloads":733,"revisionId":33409,"revision":1,"name":"Meilisearch","description":"Meilisearch","readme":"Meilisearch Dashboard","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-07-03T08:49:24.000Z","updatedAt":"2024-07-03T08:49:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21442"},{"rel":"revisions","href":"/dashboards/21442/revisions"},{"rel":"revision","href":"/dashboards/21442/revisions/1"},{"rel":"download","href":"/dashboards/21442/revisions/1/download"},{"rel":"org","href":"/orgs/vewvqww"},{"rel":"images","href":"/dashboards/21442/images"},{"rel":"thumbnails","href":"/dashboards/21442/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22733,"status":1,"statusCode":"active","orgId":1329379,"orgSlug":"rajutiwari","orgName":"rajutiwari","slug":"meilisearch-dashboard","downloads":273,"revisionId":35854,"revision":1,"name":"meilisearch dashboard","description":"this dashboard is to visualize metrics getting from meilisearch-ip/metrics","readme":"enable meilisearch metrics by\r\ncurl -X PATCH 'http://meilisearch-ip:7700/metrics' -H 'Content-Type: application/json' -H 'Authorization: Bearer master-key' --data-binary '{\"enableMetrics\": true}'\r\nthen  scrap the metrics using prometheus ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-01-21T04:54:14.000Z","updatedAt":"2025-01-21T05:02:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22733"},{"rel":"revisions","href":"/dashboards/22733/revisions"},{"rel":"revision","href":"/dashboards/22733/revisions/1"},{"rel":"download","href":"/dashboards/22733/revisions/1/download"},{"rel":"org","href":"/orgs/rajutiwari"},{"rel":"images","href":"/dashboards/22733/images"},{"rel":"thumbnails","href":"/dashboards/22733/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8923,"status":1,"statusCode":"active","orgId":28703,"orgSlug":"cyscg","orgName":"cyscg","slug":"kubernetes-app-metrics","downloads":331,"revisionId":12310,"revision":1,"name":"Meiyoucloud App Metrics","description":"After selecting your namespace and container you get a wealth of metrics like request rate, error rate, response times, pod count, cpu and memory usage. You can view cpu and memory usage in a variety of ways, compared to the limit, compared to the request, per pod, average per pod, etc.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-11-12T01:57:55.000Z","updatedAt":"2018-11-12T02:00:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8923"},{"rel":"revisions","href":"/dashboards/8923/revisions"},{"rel":"revision","href":"/dashboards/8923/revisions/1"},{"rel":"download","href":"/dashboards/8923/revisions/1/download"},{"rel":"org","href":"/orgs/cyscg"},{"rel":"images","href":"/dashboards/8923/images"},{"rel":"thumbnails","href":"/dashboards/8923/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10247,"status":1,"statusCode":"active","orgId":253370,"orgSlug":"hanady","orgName":"hanady","slug":"mellanox-what-just-happened-debug","downloads":330,"revisionId":14326,"revision":1,"name":"Mellanox - What Just Happened? Debug","description":"The Debug Dashboard allows users to receive detailed information about all the recorded \"What Just Happened?\" drops. It includes a graph of dropped packets per time and a detailed table of dropped packets.","readme":"[Deploying Mellanox What-Just-Happen dashboards on Grafana](https://github.com/Mellanox/wjhgraf/wiki/Deploying-Mellanox-What-Just-Happen-dashboards-on-Grafana)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-05-23T11:54:26.000Z","updatedAt":"2019-05-26T10:47:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10247"},{"rel":"revisions","href":"/dashboards/10247/revisions"},{"rel":"revision","href":"/dashboards/10247/revisions/1"},{"rel":"download","href":"/dashboards/10247/revisions/1/download"},{"rel":"org","href":"/orgs/hanady"},{"rel":"images","href":"/dashboards/10247/images"},{"rel":"thumbnails","href":"/dashboards/10247/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11224,"status":1,"statusCode":"active","orgId":314826,"orgSlug":"ashnewer","orgName":"ashnewer","slug":"mellanox-what-just-happened-debug","downloads":310,"revisionId":15666,"revision":1,"name":"Mellanox - What Just Happened? Debug","description":"The Debug Dashboard allows users to receive detailed information about all the recorded \"What Just Happened?\" drops. It includes a graph of dropped packets per time and a detailed table of dropped packets.\n","readme":"[Deploying Mellanox What-Just-Happen dashboards on Grafana](https://github.com/Mellanox/wjhgraf/wiki/Deploying-Mellanox-What-Just-Happen-dashboards-on-Grafana) ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-11-19T09:40:34.000Z","updatedAt":"2019-11-19T12:28:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11224"},{"rel":"revisions","href":"/dashboards/11224/revisions"},{"rel":"revision","href":"/dashboards/11224/revisions/1"},{"rel":"download","href":"/dashboards/11224/revisions/1/download"},{"rel":"org","href":"/orgs/ashnewer"},{"rel":"images","href":"/dashboards/11224/images"},{"rel":"thumbnails","href":"/dashboards/11224/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11226,"status":1,"statusCode":"active","orgId":314826,"orgSlug":"ashnewer","orgName":"ashnewer","slug":"mellanox-what-just-happened-layer-1-events","downloads":310,"revisionId":15668,"revision":1,"name":"Mellanox - What Just Happened? Layer 1 Events","description":"The Layer 1 dashboard provides real-time pane to view events and dropped packets caused by Layer 1 errors","readme":"[Deploying Mellanox What-Just-Happen dashboards on Grafana](https://github.com/Mellanox/wjhgraf/wiki/Deploying-Mellanox-What-Just-Happen-dashboards-on-Grafana) ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-11-19T09:53:06.000Z","updatedAt":"2019-11-19T12:29:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11226"},{"rel":"revisions","href":"/dashboards/11226/revisions"},{"rel":"revision","href":"/dashboards/11226/revisions/1"},{"rel":"download","href":"/dashboards/11226/revisions/1/download"},{"rel":"org","href":"/orgs/ashnewer"},{"rel":"images","href":"/dashboards/11226/images"},{"rel":"thumbnails","href":"/dashboards/11226/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10248,"status":1,"statusCode":"active","orgId":253370,"orgSlug":"hanady","orgName":"hanady","slug":"mellanox-what-just-happened-monitoring","downloads":353,"revisionId":14327,"revision":1,"name":"Mellanox - What Just Happened? Monitoring","description":"The Monitoring Dashboard provides a real-time pane for monitoring \"What Just Happened?\" activity in the network.","readme":"[Deploying Mellanox What-Just-Happen dashboards on Grafana](https://github.com/Mellanox/wjhgraf/wiki/Deploying-Mellanox-What-Just-Happen-dashboards-on-Grafana)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-05-23T12:12:12.000Z","updatedAt":"2019-05-26T09:24:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10248"},{"rel":"revisions","href":"/dashboards/10248/revisions"},{"rel":"revision","href":"/dashboards/10248/revisions/1"},{"rel":"download","href":"/dashboards/10248/revisions/1/download"},{"rel":"org","href":"/orgs/hanady"},{"rel":"images","href":"/dashboards/10248/images"},{"rel":"thumbnails","href":"/dashboards/10248/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11225,"status":1,"statusCode":"active","orgId":314826,"orgSlug":"ashnewer","orgName":"ashnewer","slug":"mellanox-what-just-happened-monitoring","downloads":301,"revisionId":15667,"revision":1,"name":"Mellanox - What Just Happened? Monitoring","description":"The Monitoring Dashboard provides a real-time pane for monitoring \"What Just Happened?\" activity in the network.\n","readme":"[Deploying Mellanox What-Just-Happen dashboards on Grafana](https://github.com/Mellanox/wjhgraf/wiki/Deploying-Mellanox-What-Just-Happen-dashboards-on-Grafana) ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-11-19T09:51:56.000Z","updatedAt":"2019-11-19T12:29:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11225"},{"rel":"revisions","href":"/dashboards/11225/revisions"},{"rel":"revision","href":"/dashboards/11225/revisions/1"},{"rel":"download","href":"/dashboards/11225/revisions/1/download"},{"rel":"org","href":"/orgs/ashnewer"},{"rel":"images","href":"/dashboards/11225/images"},{"rel":"thumbnails","href":"/dashboards/11225/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15226,"status":1,"statusCode":"active","orgId":262655,"orgSlug":"webmaster1989","orgName":"webmaster1989","slug":"melroy-s-status-dashboard","downloads":1825,"revisionId":40436,"revision":6,"name":"Melroy's Status Dashboard","description":"Melroy's Server Status Uptime metrics page.","readme":"Dashboard with showing the server uptime as well as your own defined services via the exec plugin of Telegraf (I'm using `pgrep` Linux command to collect data). Pgrep command is used to obtain information about the process and stored into the table called `nr_processes`.\r\n\r\nSince this dashboard doesn't use variables, you are able to make this dashboard public if you want to (via the share button -> Public dashboard -> Generate public URL). \r\nIf your public dashboard is causing issues with retrieving data from Telegraf (401 errors), edit your grafana.ini file and enable the \"influxdbBackendMigration\" feature by setting it to true:\r\n\r\n```ini\r\n[feature_toggles]\r\ninfluxdbBackendMigration = true\r\n```\r\n\r\n\r\nYou will need to install Telegraf & InfluxDB for this dashboard.\r\n\r\n\r\n## Telegraf config\r\n\r\nAdd the following Telegraf configuration to your `/etc/telegraf/telegraf.conf` file:\r\n```\r\n[[inputs.system]]\r\n\r\n# Below the list of applications you want to track\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c nginx\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  data_type = \"integer\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"Nginx\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c gitea\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"Gitea\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c gitlab-runner\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"GitLab Runner\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c gitlab-workhors\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"GitLab Workhors\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -fc -u git puma\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"GitLab Puma\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -fc -u git sidekiq\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"GitLab Sidekiq\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c -u redis redis-server\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"Redis\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c -u postgres postgres\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"PostgreSQL\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c mysql\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"MariaDB\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c php-fpm\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"PHP-FPM\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -fc synapse.app.homeserver\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"Synapse\"\r\n```\r\n\r\nOf course add your own services to this list above! It's just an example list...","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.system]]\r\n\r\n\r\n# Below the list of applications you want to track\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c nginx\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  data_type = \"integer\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"Nginx\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c gitea\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"Gitea\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c gitlab-runner\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"GitLab Runner\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c gitlab-workhors\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"GitLab Workhors\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -fc -u git puma\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"GitLab Puma\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -fc -u git sidekiq\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"GitLab Sidekiq\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c -u redis redis-server\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"Redis\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c -u postgres postgres\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"PostgreSQL\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c mysql\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"MariaDB\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c php-fpm\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"PHP-FPM\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -fc synapse.app.homeserver\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"Synapse\"\r\n```","collectorPluginList":"exec, system","datasource":"InfluxDB","privacy":"public","createdAt":"2021-11-10T02:28:46.000Z","updatedAt":"2026-04-10T20:40:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15226"},{"rel":"revisions","href":"/dashboards/15226/revisions"},{"rel":"revision","href":"/dashboards/15226/revisions/6"},{"rel":"download","href":"/dashboards/15226/revisions/6/download"},{"rel":"org","href":"/orgs/webmaster1989"},{"rel":"images","href":"/dashboards/15226/images"},{"rel":"thumbnails","href":"/dashboards/15226/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17477,"status":1,"statusCode":"active","orgId":372609,"orgSlug":"controlplane","orgName":"Controlplane","slug":"memcache-template","downloads":292,"revisionId":26839,"revision":1,"name":"Memcache","description":"Dashboard for Controlplane's Managed Memcached","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-24T16:16:47.000Z","updatedAt":"2022-11-24T16:18:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17477"},{"rel":"revisions","href":"/dashboards/17477/revisions"},{"rel":"revision","href":"/dashboards/17477/revisions/1"},{"rel":"download","href":"/dashboards/17477/revisions/1/download"},{"rel":"org","href":"/orgs/controlplane"},{"rel":"images","href":"/dashboards/17477/images"},{"rel":"thumbnails","href":"/dashboards/17477/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2803,"status":1,"statusCode":"active","orgId":76010,"orgSlug":"mbadley","orgName":"Malcolm Badley","slug":"memcache-muliple","downloads":491,"revisionId":3850,"revision":1,"name":"Memcache (Muliple)","description":"InfluxDB dashboards for telegraf metrics","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-08-02T08:37:46.000Z","updatedAt":"2017-08-02T08:37:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/2803"},{"rel":"revisions","href":"/dashboards/2803/revisions"},{"rel":"revision","href":"/dashboards/2803/revisions/1"},{"rel":"download","href":"/dashboards/2803/revisions/1/download"},{"rel":"org","href":"/orgs/mbadley"},{"rel":"images","href":"/dashboards/2803/images"},{"rel":"thumbnails","href":"/dashboards/2803/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11527,"status":1,"statusCode":"active","orgId":333597,"orgSlug":"asluck","orgName":"Lucas Hellmann","slug":"memcached-overview","downloads":226423,"revisionId":16250,"revision":1,"name":"Memcached","description":"Memcached dashboard for grafana 6.5.1 or above.\r\nDataSource: Prometheus\r\nCollector: Memcached official exporter : https://github.com/prometheus/memcached_exporter/releases \r\n","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-08T13:03:25.000Z","updatedAt":"2020-01-08T13:23:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11527"},{"rel":"revisions","href":"/dashboards/11527/revisions"},{"rel":"revision","href":"/dashboards/11527/revisions/1"},{"rel":"download","href":"/dashboards/11527/revisions/1/download"},{"rel":"org","href":"/orgs/asluck"},{"rel":"images","href":"/dashboards/11527/images"},{"rel":"thumbnails","href":"/dashboards/11527/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12449,"status":1,"statusCode":"active","orgId":225578,"orgSlug":"sobaka","orgName":"sobaka","slug":"memcached","downloads":373,"revisionId":17849,"revision":1,"name":"Memcached","description":"Dashboard memcached usage","readme":"#### Memcached Dashboard host or guest mashine.\r\n\r\ngrafana->graphite->collectd","collectorType":"collectd","collectorConfig":"```\r\nFQDNLookup false\r\n\r\nTypesDB \"/usr/share/collectd/types.db\" \"/etc/collectd/types.db\"\r\n\r\nInterval 60\r\nLoadPlugin write_graphite\r\n<Plugin write_graphite>\r\n\t<Node \"<node>\">\r\n\t\tHost \"<host>\"\r\n\t\tPort \"<port>\"\r\n\t\tProtocol \"tcp\"\r\n\t\tLogSendErrors true\r\n\t\tPrefix \"<prefix>.\"\r\n\t\tPostfix \"\"\r\n\t\tStoreRates false\r\n\t\tAlwaysAppendDS false\r\n\t\tEscapeCharacter \"_\"\r\n\t</Node>\r\n</Plugin>\r\n\r\nLoadPlugin syslog\r\n<Plugin syslog>\r\n        LogLevel info\r\n</Plugin>\r\n\r\nLoadPlugin memcached\r\n<Plugin \"memcached\">\r\n  Host \"<memcache_host>\"\r\n  Port \"<memcache_port>\"\r\n</Plugin>\r\n```","collectorPluginList":"memcached plugin, Write Graphite plugin","datasource":"Graphite","privacy":"public","createdAt":"2020-06-11T09:13:07.000Z","updatedAt":"2020-08-17T12:59:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12449"},{"rel":"revisions","href":"/dashboards/12449/revisions"},{"rel":"revision","href":"/dashboards/12449/revisions/1"},{"rel":"download","href":"/dashboards/12449/revisions/1/download"},{"rel":"org","href":"/orgs/sobaka"},{"rel":"images","href":"/dashboards/12449/images"},{"rel":"thumbnails","href":"/dashboards/12449/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":20480,"status":1,"statusCode":"active","orgId":361020,"orgSlug":"towolf","orgName":"towolf","slug":"memcached","downloads":1734,"revisionId":31643,"revision":1,"name":"Memcached","description":"Visualize memcached-exporter metrics","readme":"Based on various other dashboards and enriched with stuff.\r\n\r\nRequires memcached_exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-02-14T23:34:13.000Z","updatedAt":"2024-02-14T23:38:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20480"},{"rel":"revisions","href":"/dashboards/20480/revisions"},{"rel":"revision","href":"/dashboards/20480/revisions/1"},{"rel":"download","href":"/dashboards/20480/revisions/1/download"},{"rel":"org","href":"/orgs/towolf"},{"rel":"images","href":"/dashboards/20480/images"},{"rel":"thumbnails","href":"/dashboards/20480/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20002,"status":1,"statusCode":"active","orgId":715070,"orgSlug":"mbhargavd","orgName":"mbhargavd","slug":"memcached-per-slab","downloads":284,"revisionId":30750,"revision":1,"name":"Memcached (Per slab)","description":"Monitor memcached using prometheus and memcached exporter","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-18T09:46:37.000Z","updatedAt":"2023-11-18T10:00:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20002"},{"rel":"revisions","href":"/dashboards/20002/revisions"},{"rel":"revision","href":"/dashboards/20002/revisions/1"},{"rel":"download","href":"/dashboards/20002/revisions/1/download"},{"rel":"org","href":"/orgs/mbhargavd"},{"rel":"images","href":"/dashboards/20002/images"},{"rel":"thumbnails","href":"/dashboards/20002/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6551,"status":1,"statusCode":"active","orgId":149708,"orgSlug":"anthonysr","orgName":"Anthony R","slug":"memcached-metrics-single","downloads":595,"revisionId":8945,"revision":1,"name":"Memcached Metrics - Single","description":"Memcached metrics from a single Telegraf instance","readme":"Display memcached metrics for a single Telegraf instance, selectable via drop-down. Metrics are grouped into collapsible rows.","collectorType":"Telegraf","collectorConfig":"","collectorPluginList":"memcached","datasource":"Prometheus","privacy":"public","createdAt":"2018-06-18T23:03:32.000Z","updatedAt":"2018-06-18T23:04:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":2,"links":[{"rel":"self","href":"/dashboards/6551"},{"rel":"revisions","href":"/dashboards/6551/revisions"},{"rel":"revision","href":"/dashboards/6551/revisions/1"},{"rel":"download","href":"/dashboards/6551/revisions/1/download"},{"rel":"org","href":"/orgs/anthonysr"},{"rel":"images","href":"/dashboards/6551/images"},{"rel":"thumbnails","href":"/dashboards/6551/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":325,"status":1,"statusCode":"active","orgId":12931,"orgSlug":"ggreen","orgName":"Graham Green","slug":"memcached-overview","downloads":1478,"revisionId":430,"revision":1,"name":"MemcacheD Overview","description":"Performance metrics for MemcacheD","readme":"The dashboard provides the following;\r\n\r\nSystem stats for uptime, cpu count, RAM, free memory %, and panels for load, I/O and network traffic.\r\nMemcacheD single stats for connections, uptime, commands and hit rate, along with panels for commands and eviction rate.\r\n\r\nMetrics come from the Telegraf using the memcached plugin.\r\n\r\nThe dashboard utilizes templating to dynamically choose the datasource and host In our usecase we have a different datasource for each of our environments (dev, qa, staging and prod) so being able to easily switch between them is very useful, you could easily remove this option if you have a single data source. The available hosts gets updated when you change data srouces.","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2016-08-14T20:21:41.000Z","updatedAt":"2016-08-14T20:59:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/325"},{"rel":"revisions","href":"/dashboards/325/revisions"},{"rel":"revision","href":"/dashboards/325/revisions/1"},{"rel":"download","href":"/dashboards/325/revisions/1/download"},{"rel":"org","href":"/orgs/ggreen"},{"rel":"images","href":"/dashboards/325/images"},{"rel":"thumbnails","href":"/dashboards/325/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":8874,"status":1,"statusCode":"active","orgId":209526,"orgSlug":"stulzq","orgName":"stulzq","slug":"memcached-overview","downloads":496,"revisionId":12201,"revision":1,"name":"Memcached Overview","description":"Memcached Overview","readme":"Memcached Overview，Exporter: [https://github.com/prometheus/memcached_exporter](https://github.com/prometheus/memcached_exporter). Author: [https://github.com/stulzq](https://github.com/stulzq)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-11-09T01:57:42.000Z","updatedAt":"2018-11-09T02:06:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8874"},{"rel":"revisions","href":"/dashboards/8874/revisions"},{"rel":"revision","href":"/dashboards/8874/revisions/1"},{"rel":"download","href":"/dashboards/8874/revisions/1/download"},{"rel":"org","href":"/orgs/stulzq"},{"rel":"images","href":"/dashboards/8874/images"},{"rel":"thumbnails","href":"/dashboards/8874/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3063,"status":1,"statusCode":"active","orgId":25650,"orgSlug":"instrumentisto","orgName":"Instrumentisto Team","slug":"memcached-pods-monitoring-via-prometheus","downloads":13864133,"revisionId":4221,"revision":1,"name":"Memcached Pods monitoring (via Prometheus)","description":"Monitors Kubernetes Memcached Pods. Shows memory usage, hit rate, evicts and reclaims rate, items in cache, network stats, commands rate. Requires Memcached Exporter for Prometheus.","readme":"## Metrics\r\n\r\n- Memory usage\r\n- Hit & Miss ratio\r\n- Evicts & Reclaims\r\n- Items in cache\r\n- Network stats\r\n- Commands usage\r\n\r\n\r\n\r\n\r\n## Requirements\r\n\r\n1. [Kubernetes][1] cluster with deployed [Prometheus][3] and [Grafana][5].\r\n2. [Memcached Exporter][4] deployed alongside with [Memcached][2] [Pod][6].\r\n\r\nYour Prometheus configuration should contain the following [`scrape_config`][10]:\r\n```yaml\r\nscrape_configs:\r\n  - job_name: kubernetes-pods\r\n    kubernetes_sd_configs:\r\n      - role: pod\r\n    relabel_configs:\r\n      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape]\r\n        action: keep\r\n        regex: true\r\n      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_path]\r\n        action: replace\r\n        target_label: __metrics_path__\r\n        regex: (.+)\r\n      - source_labels: [__address__, __meta_kubernetes_pod_annotation_prometheus_io_port]\r\n        action: replace\r\n        regex: ([^:]+)(?::\\d+)?;(\\d+)\r\n        replacement: $1:$2\r\n        target_label: __address__\r\n      - action: labelmap\r\n        regex: __meta_kubernetes_pod_label_(.+)\r\n      - source_labels: [__meta_kubernetes_namespace]\r\n        action: replace\r\n        target_label: kubernetes_namespace\r\n      - source_labels: [__meta_kubernetes_pod_name]\r\n        action: replace\r\n        target_label: kubernetes_pod_name\r\n```\r\n\r\nYour Memcached Pod should contain [`prometheus.io/*` annotations][11]:\r\n```yaml\r\nkind: StatefulSet\r\napiVersion: apps/v1beta1\r\nmetadata:\r\n  name: my-memcached\r\nspec:\r\n  serviceName: my-memcached\r\n  replicas: 1\r\n  template:\r\n    metadata:\r\n      annotations:\r\n        prometheus.io/scrape: 'true'\r\n        prometheus.io/port: '9150'\r\n    spec:\r\n      containers:\r\n        - name: memcached\r\n          image: memcached:alpine\r\n          ports:\r\n            - name: memcache\r\n              containerPort: 11211\r\n        - name: metrics\r\n          image: quay.io/prometheus/memcached-exporter:v0.3.0\r\n          ports:\r\n            - name: metrics\r\n              containerPort: 9150\r\n```\r\n\r\n\r\n\r\n\r\n## Issues\r\n\r\nIf you have any problems with or questions about this dashboard, please contact us through a [GitHub issue][20].\r\n\r\n\r\n\r\n\r\n\r\n[1]: https://kubernetes.io\r\n[2]: https://github.com/memcached/memcached\r\n[3]: https://prometheus.io\r\n[4]: https://github.com/prometheus/memcached_exporter\r\n[5]: https://github.com/grafana/grafana\r\n[6]: https://kubernetes.io/docs/concepts/workloads/pods/pod\r\n[10]: https://prometheus.io/docs/operating/configuration/#scrape_config\r\n[11]: https://github.com/prometheus/prometheus/blob/v1.3.0/documentation/examples/prometheus-kubernetes.yml#L153-L155\r\n[20]: https://github.com/grafana-dashboard-memcached-kubernetes-prometheus/issues","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-08-30T09:26:18.000Z","updatedAt":"2017-08-30T10:08:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/3063"},{"rel":"revisions","href":"/dashboards/3063/revisions"},{"rel":"revision","href":"/dashboards/3063/revisions/1"},{"rel":"download","href":"/dashboards/3063/revisions/1/download"},{"rel":"org","href":"/orgs/instrumentisto"},{"rel":"images","href":"/dashboards/3063/images"},{"rel":"thumbnails","href":"/dashboards/3063/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20835,"status":1,"statusCode":"active","orgId":314077,"orgSlug":"azman0101","orgName":"azman0101","slug":"memcached-pods-monitoring-via-prometheus","downloads":1852,"revisionId":32260,"revision":1,"name":"Memcached Pods monitoring (via Prometheus) v1","description":"Monitors Kubernetes Memcached Pods. Shows memory usage, hit rate, evicts and reclaims rate, items in cache, network stats, commands rate. Requires Memcached Exporter for Prometheus.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-03T17:13:31.000Z","updatedAt":"2024-04-03T17:20:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20835"},{"rel":"revisions","href":"/dashboards/20835/revisions"},{"rel":"revision","href":"/dashboards/20835/revisions/1"},{"rel":"download","href":"/dashboards/20835/revisions/1/download"},{"rel":"org","href":"/orgs/azman0101"},{"rel":"images","href":"/dashboards/20835/images"},{"rel":"thumbnails","href":"/dashboards/20835/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":30,"status":1,"statusCode":"active","orgId":10045,"orgSlug":"torkel","orgName":"Torkel Ödegaard","slug":"memcached-single-server","downloads":1315,"revisionId":39,"revision":1,"name":"Memcached Server Metrics","description":"Memcached Server Metrics, requires CollectD memcached plugin and Graphite","readme":"Metrics Dashboard for Memcached server. \r\n\r\n## Features \r\n\r\n* Server template variable (so if you have multiple memcached server you can pick which one you want at the top of the dashboard)\r\n* Hit Ratio, Commands, Get / Set Ratio\r\n* Connections, DF Cache Bytes (free/used), Items In Cache\r\n* Ops - Evictions, Ops - Misses, Ops - Hits,. \r\n* Traffic Octets In/out, Process Threads, CPU Time\r\n\r\nCollectD config can be found here: [collectd.conf](\r\nhttps://github.com/torkelo/dashboards/blob/master/collectd-graphite-memcached-single-server/collectd.conf)\r\n\r\nThe relevant parts for this dashboard is \r\n```\r\nLoadPlugin memcached\r\n\r\n<Plugin \"memcached\">\r\n  Host \"127.0.0.1\"\r\n  Port \"11211\"\r\n</Plugin>\r\n```\r\n\r\n## Metric Prefix\r\nWhen you import the dasbhoard you will have to specify your collectd metric prefix, this is by defauilt just `collectd`. The dashboard assumes the following metric structure `$prefix.$server.memcached...`.  So if you have a non standard collectd prefix like `prod.cacheservers` then specify that in the prefix field when you import the dashboard. During import when you specify the prefix do not include the last dot (`.`). \r\n\r\n## Make this dashboard better\r\nFor feedback and ideas to improve this dashboard please open an issue here: \r\n[https://github.com/torkelo/dashboards](https://github.com/torkelo/dashboards)","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"memcached plugin","datasource":"Graphite","privacy":"public","createdAt":"2016-06-22T08:37:18.000Z","updatedAt":"2016-09-08T05:52:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/30"},{"rel":"revisions","href":"/dashboards/30/revisions"},{"rel":"revision","href":"/dashboards/30/revisions/1"},{"rel":"download","href":"/dashboards/30/revisions/1/download"},{"rel":"org","href":"/orgs/torkel"},{"rel":"images","href":"/dashboards/30/images"},{"rel":"thumbnails","href":"/dashboards/30/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":3002,"status":1,"statusCode":"active","orgId":78983,"orgSlug":"dmlurth","orgName":"dmlurth","slug":"memory","downloads":2610,"revisionId":11467,"revision":3,"name":"memory","description":"various memory metrics","readme":"updated for node_exporter 0.16.0","collectorType":"nodeExporter","collectorConfig":"Queries assume prometheus.yml: `- job_name: 'node'`","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-08-18T20:07:27.000Z","updatedAt":"2018-10-13T18:36:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3002"},{"rel":"revisions","href":"/dashboards/3002/revisions"},{"rel":"revision","href":"/dashboards/3002/revisions/3"},{"rel":"download","href":"/dashboards/3002/revisions/3/download"},{"rel":"org","href":"/orgs/dmlurth"},{"rel":"images","href":"/dashboards/3002/images"},{"rel":"thumbnails","href":"/dashboards/3002/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10266,"status":1,"statusCode":"active","orgId":244850,"orgSlug":"pigmalion","orgName":"Nathan Borik","slug":"memory-overview","downloads":7704,"revisionId":14418,"revision":2,"name":"Memory Overview","description":"Memory Overview","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-05-28T11:31:21.000Z","updatedAt":"2019-06-06T13:59:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":1,"links":[{"rel":"self","href":"/dashboards/10266"},{"rel":"revisions","href":"/dashboards/10266/revisions"},{"rel":"revision","href":"/dashboards/10266/revisions/2"},{"rel":"download","href":"/dashboards/10266/revisions/2/download"},{"rel":"org","href":"/orgs/pigmalion"},{"rel":"images","href":"/dashboards/10266/images"},{"rel":"thumbnails","href":"/dashboards/10266/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24809,"status":1,"statusCode":"active","orgId":891964,"orgSlug":"callcorp","orgName":"CallCorp","slug":"memory-overview","downloads":33,"revisionId":40750,"revision":2,"name":"Memory Overview","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-02-06T16:47:53.000Z","updatedAt":"2026-05-14T12:38:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24809"},{"rel":"revisions","href":"/dashboards/24809/revisions"},{"rel":"revision","href":"/dashboards/24809/revisions/2"},{"rel":"download","href":"/dashboards/24809/revisions/2/download"},{"rel":"org","href":"/orgs/callcorp"},{"rel":"images","href":"/dashboards/24809/images"},{"rel":"thumbnails","href":"/dashboards/24809/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9692,"status":1,"statusCode":"active","orgId":94170,"orgSlug":"perconalab","orgName":"perconalab","slug":"memory-overview-designed-for-pmm","downloads":2401,"revisionId":13486,"revision":3,"name":"Memory Overview (Designed for PMM)","description":"The dashboard that displays metrics related to memory usage on Linux systems.\n\nDesigned for https://www.percona.com/software/database-tools/percona-monitoring-and-management ","readme":"The dashboard leverages information collected by node_exporter. The graphs take advantage of  /proc filesystem files, specifically:\n\nmeminfo: Provides information about distribution and utilization of memory. This varies by architecture and compile options. \n\nvmstat: Provides information about block IO and CPU activity in addition to memory.\n\n \n\nThe information is split into five sections:  Total Memory, VMM (Virtual Memory Manager) Statistics, \nMemory Statistics, \nNumber and Dynamic of Pages, \nPages per Zone","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-01-18T21:11:30.000Z","updatedAt":"2019-01-22T12:32:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9692"},{"rel":"revisions","href":"/dashboards/9692/revisions"},{"rel":"revision","href":"/dashboards/9692/revisions/3"},{"rel":"download","href":"/dashboards/9692/revisions/3/download"},{"rel":"org","href":"/orgs/perconalab"},{"rel":"images","href":"/dashboards/9692/images"},{"rel":"thumbnails","href":"/dashboards/9692/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13325,"status":1,"statusCode":"active","orgId":432425,"orgSlug":"devtron","orgName":"Devtron Labs","slug":"memory-usage","downloads":71713,"revisionId":23112,"revision":4,"name":"memory-usage","description":"This Graph shows pod memory usage on Devtron dashboard.\n\nhttps://www.devtron.ai","readme":"This is a part of Devtron config. \nThis Graph shows pod memory usage on Devtron dashboard.\n\nFor clusters K8s 1.16 and above.\nhttps://www.devtron.ai","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2020-11-02T09:45:58.000Z","updatedAt":"2021-12-07T13:14:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13325"},{"rel":"revisions","href":"/dashboards/13325/revisions"},{"rel":"revision","href":"/dashboards/13325/revisions/4"},{"rel":"download","href":"/dashboards/13325/revisions/4/download"},{"rel":"org","href":"/orgs/devtron"},{"rel":"images","href":"/dashboards/13325/images"},{"rel":"thumbnails","href":"/dashboards/13325/thumbnails"}]},{"id":13323,"status":1,"statusCode":"active","orgId":432425,"orgSlug":"devtron","orgName":"Devtron 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below\nhttps://www.devtron.ai","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2020-11-02T09:29:28.000Z","updatedAt":"2021-04-08T06:52:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13323"},{"rel":"revisions","href":"/dashboards/13323/revisions"},{"rel":"revision","href":"/dashboards/13323/revisions/6"},{"rel":"download","href":"/dashboards/13323/revisions/6/download"},{"rel":"org","href":"/orgs/devtron"},{"rel":"images","href":"/dashboards/13323/images"},{"rel":"thumbnails","href":"/dashboards/13323/thumbnails"}]},{"id":18050,"status":1,"statusCode":"active","orgId":790943,"orgSlug":"valera3","orgName":"valera3","slug":"memphis-dev","downloads":1035,"revisionId":30815,"revision":6,"name":"Memphis.dev","description":"Memphis.dev Dashboard","readme":"⭐️ About\r\n\r\nMemphis.dev is a next-generation alternative to traditional message brokers.\r\n\r\nA simple, robust, and durable cloud-native message broker wrapped with\r\nan entire ecosystem that enables cost-effective, fast, and reliable development of modern queue-based use cases.\r\n\r\nMemphis enables the building of modern queue-based applications that require\r\nlarge volumes of streamed and enriched data, modern protocols, zero ops, rapid development,\r\nextreme cost reduction, and a significantly lower amount of dev time for data-oriented developers and data engineers.\r\n","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-07T12:05:09.000Z","updatedAt":"2023-11-26T08:52:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18050"},{"rel":"revisions","href":"/dashboards/18050/revisions"},{"rel":"revision","href":"/dashboards/18050/revisions/6"},{"rel":"download","href":"/dashboards/18050/revisions/6/download"},{"rel":"org","href":"/orgs/valera3"},{"rel":"images","href":"/dashboards/18050/images"},{"rel":"thumbnails","href":"/dashboards/18050/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18744,"status":1,"statusCode":"active","orgId":854464,"orgSlug":"luukasmakila","orgName":"luukasmakila","slug":"memtierd-demo","downloads":280,"revisionId":28755,"revision":1,"name":"Memtierd Demo Dashboard","description":"Dashboard used to showcase the effects of using Memtierd as a memory manager memory manager in your Kubernetes cluster.","readme":"## Memtierd Demo\r\nShowcases how Memtierd can be used as a memory manager in Kubernetes to save memory by swapping out idle processes to swap.\r\n\r\nThis demo showcases how \"high-prio\" and \"low-prio\" workloads behave when they are managed by Memtierd. Low-prio workloads are swapped out more aggressively than high-prio workloads.\r\n\r\nTo replicate the demo you need more than just the dashboard. The required steps can be found [here](https://github.com/luukasmakila/cri-resource-manager/blob/memtier-nri/demo/memtierd/Replicating-the-demo.md).\r\n\r\n## About the metrics\r\n\r\nRAM Saved (G)\r\n- Tells how much RAM is being saved by swapping out the idle workloads.\r\n\r\nRAM Saved (%)\r\n- Tells how big the total memory saved is in comparsin to the overall memory of the system.\r\n\r\nCompressed (%)\r\n- Tells how well the data is being compressed.\r\n\r\nRAM vs Swap\r\n- Tells how the memory is being distributed between RAM and Swap.\r\n\r\nPage faults\r\n- Tells how many new page faults happen in between the requests from Grafana. This is a way to express the possible performance hit workloads experience if being tracked by Memtierd.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Infinity","privacy":"public","createdAt":"2023-05-15T08:12:23.000Z","updatedAt":"2023-05-15T08:38:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18744"},{"rel":"revisions","href":"/dashboards/18744/revisions"},{"rel":"revision","href":"/dashboards/18744/revisions/1"},{"rel":"download","href":"/dashboards/18744/revisions/1/download"},{"rel":"org","href":"/orgs/luukasmakila"},{"rel":"images","href":"/dashboards/18744/images"},{"rel":"thumbnails","href":"/dashboards/18744/thumbnails"}],"datasourceSlugs":["yesoreyeram-infinity-datasource"]},{"id":18395,"status":1,"statusCode":"active","orgId":90180,"orgSlug":"andrii29","orgName":"andrii29","slug":"mercure","downloads":327,"revisionId":28221,"revision":1,"name":"Mercure Hub","description":"Dashboard for mercure hub\r\n\r\nhttps://mercure.rocks/\r\n\r\nhttps://github.com/dunglas/mercure","readme":"Dashboard for mercure hub\r\n\r\nhttps://mercure.rocks/\r\n\r\nhttps://github.com/dunglas/mercure","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-30T11:33:53.000Z","updatedAt":"2023-04-02T14:19:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18395"},{"rel":"revisions","href":"/dashboards/18395/revisions"},{"rel":"revision","href":"/dashboards/18395/revisions/1"},{"rel":"download","href":"/dashboards/18395/revisions/1/download"},{"rel":"org","href":"/orgs/andrii29"},{"rel":"images","href":"/dashboards/18395/images"},{"rel":"thumbnails","href":"/dashboards/18395/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23326,"status":1,"statusCode":"active","orgId":314024,"orgSlug":"hdecarne","orgName":"tdrn","slug":"network-mesh","downloads":256,"revisionId":36994,"revision":1,"name":"Mesh network status","description":"Dashboard visualizing your AVM Mesh network status.","readme":"This dashboard visualizes your AVM Router's DSL status as collected by Telegraf's [input.fritzbox](https://github.com/influxdata/telegraf/blob/master/plugins/inputs/fritzbox/README.md) plugin.","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-25T03:15:53.000Z","updatedAt":"2025-04-25T06:05:31.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23326"},{"rel":"revisions","href":"/dashboards/23326/revisions"},{"rel":"revision","href":"/dashboards/23326/revisions/1"},{"rel":"download","href":"/dashboards/23326/revisions/1/download"},{"rel":"org","href":"/orgs/hdecarne"},{"rel":"images","href":"/dashboards/23326/images"},{"rel":"thumbnails","href":"/dashboards/23326/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24618,"status":1,"statusCode":"active","orgId":22927,"orgSlug":"katosys","orgName":"MeshLab","slug":"meshlab-istio-control-plane-dashboard","downloads":118,"revisionId":39448,"revision":2,"name":"MeshLab - Istio Control Plane Dashboard","description":"Istio Control Plane Dashboard","readme":"This dashboard is derived from Istio’s dashboard of the same name and updates metric names and labels to better align with OpenTelemetry Collector output, aiming to follow OpenTelemetry conventions. It belongs to Meshlab’s dashboard collection and may evolve independently, potentially diverging from the Istio upstream version.\r\n\r\nYou can find the OpenTelemetry Collector settings [here](https://github.com/h0tbird/meshlab/tree/master/charts/otel-collector/templates/applicationsets).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2025-12-29T19:45:20.000Z","updatedAt":"2026-01-01T16:42:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24618"},{"rel":"revisions","href":"/dashboards/24618/revisions"},{"rel":"revision","href":"/dashboards/24618/revisions/2"},{"rel":"download","href":"/dashboards/24618/revisions/2/download"},{"rel":"org","href":"/orgs/katosys"},{"rel":"images","href":"/dashboards/24618/images"},{"rel":"thumbnails","href":"/dashboards/24618/thumbnails"}]},{"id":5051,"status":1,"statusCode":"active","orgId":129836,"orgSlug":"david618","orgName":"david618","slug":"mesos","downloads":872,"revisionId":6704,"revision":1,"name":"Mesos","description":"Simple Mesos Dashboard for monitoring cpu and memory usage.","readme":"Dashboard Includes\r\n- Table with FrameworkID's (Name, Time, etc.)\r\n- CPU Usage (Allocated and Used) by FrameworkID\r\n- Memory Usage (Allocated and Used) by FrameworkID\r\n\r\nInstallation\r\n- Install  [meos_exporter](https://github.com/mesosphere/mesos_exporter) on each master, private agent, and public agent node \r\n- Install [Promethesus](https://prometheus.io/).  Configure Promethesus to pull information from the nodes.\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-03-12T21:02:17.000Z","updatedAt":"2018-03-12T21:20:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5051"},{"rel":"revisions","href":"/dashboards/5051/revisions"},{"rel":"revision","href":"/dashboards/5051/revisions/1"},{"rel":"download","href":"/dashboards/5051/revisions/1/download"},{"rel":"org","href":"/orgs/david618"},{"rel":"images","href":"/dashboards/5051/images"},{"rel":"thumbnails","href":"/dashboards/5051/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10042,"status":1,"statusCode":"active","orgId":245936,"orgSlug":"jack9603301","orgName":"jack9603301","slug":"mesos","downloads":403,"revisionId":14039,"revision":1,"name":"Mesos","description":"Dashboard based on Mesos official collector (https://github.com/mesos/mesos_exporter)","readme":"Dashboard based on Mesos official collector (https://github.com/mesos/mesos_exporter)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-04-12T13:03:41.000Z","updatedAt":"2019-04-12T13:05:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10042"},{"rel":"revisions","href":"/dashboards/10042/revisions"},{"rel":"revision","href":"/dashboards/10042/revisions/1"},{"rel":"download","href":"/dashboards/10042/revisions/1/download"},{"rel":"org","href":"/orgs/jack9603301"},{"rel":"images","href":"/dashboards/10042/images"},{"rel":"thumbnails","href":"/dashboards/10042/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2430,"status":1,"statusCode":"active","orgId":24770,"orgSlug":"bergerx","orgName":"Bekir Dogan","slug":"mesos-observability-metrics","downloads":834,"revisionId":3555,"revision":2,"name":"Mesos Observability Metrics","description":"Based on http://mesos.apache.org/documentation/latest/monitoring/","readme":"This dashboard is created based on the data in http://mesos.apache.org/documentation/latest/monitoring/ page and descriptions are just copy&pasted from there.\r\n\r\n\r\nThis document describes the observability metrics provided by Mesos master and agent nodes. This document also provides some initial guidance on which metrics you should monitor to detect abnormal situations in your cluster.\r\n\r\nMesos master and agent nodes report a set of statistics and metrics that enable cluster operators to monitor resource usage and detect abnormal situations early. The information reported by Mesos includes details about available resources, used resources, registered frameworks, active agents, and task state. You can use this information to create automated alerts and to plot different metrics over time inside a monitoring dashboard.\r\n\r\nMetric information is not persisted to disk at either master or agent nodes, which means that metrics will be reset when masters and agents are restarted. Similarly, if the current leading master fails and a new leading master is elected, metrics at the new master will be reset.","collectorType":"Telegraf","collectorConfig":"```\r\n# # Telegraf plugin for gathering metrics from N Mesos masters\r\n[[inputs.mesos]]\r\n   ## Timeout, in ms.\r\n   timeout = 100\r\n   ## A list of Mesos masters.\r\n   masters = [\"$IP:5050\"]\r\n   ## Master metrics groups to be collected, by default, all enabled.\r\n   master_collections = [\r\n    \"resources\",\r\n    \"master\",\r\n    \"system\",\r\n    \"agents\",\r\n    \"frameworks\",\r\n    \"tasks\",\r\n    \"messages\",\r\n    \"evqueue\",\r\n    \"registrar\",\r\n   ]\r\n```","collectorPluginList":"mesos","datasource":"InfluxDB","privacy":"public","createdAt":"2017-06-09T11:28:10.000Z","updatedAt":"2017-07-12T15:40:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2430"},{"rel":"revisions","href":"/dashboards/2430/revisions"},{"rel":"revision","href":"/dashboards/2430/revisions/2"},{"rel":"download","href":"/dashboards/2430/revisions/2/download"},{"rel":"org","href":"/orgs/bergerx"},{"rel":"images","href":"/dashboards/2430/images"},{"rel":"thumbnails","href":"/dashboards/2430/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15393,"status":1,"statusCode":"active","orgId":572939,"orgSlug":"streamnative","orgName":"streamnative","slug":"messaging-metrics","downloads":350,"revisionId":23190,"revision":1,"name":"Messaging Metrics","description":"Messaging Related Metrics Per Namespace","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-12-14T09:01:51.000Z","updatedAt":"2021-12-14T09:01:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15393"},{"rel":"revisions","href":"/dashboards/15393/revisions"},{"rel":"revision","href":"/dashboards/15393/revisions/1"},{"rel":"download","href":"/dashboards/15393/revisions/1/download"},{"rel":"org","href":"/orgs/streamnative"},{"rel":"images","href":"/dashboards/15393/images"},{"rel":"thumbnails","href":"/dashboards/15393/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20053,"status":1,"statusCode":"active","orgId":585607,"orgSlug":"skenderidis","orgName":"skenderidis","slug":"meta-character-violations","downloads":294,"revisionId":32403,"revision":3,"name":"Meta Character Violations","description":"This Dashboard provides more visibility into the logs generated by NGINX App Protect. This is part of a series of NGINX App Protect Dashboards","readme":"For more information visit https://github.com/skenderidis/nap-dashboard","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2023-11-27T06:20:24.000Z","updatedAt":"2024-04-15T06:47:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20053"},{"rel":"revisions","href":"/dashboards/20053/revisions"},{"rel":"revision","href":"/dashboards/20053/revisions/3"},{"rel":"download","href":"/dashboards/20053/revisions/3/download"},{"rel":"org","href":"/orgs/skenderidis"},{"rel":"images","href":"/dashboards/20053/images"},{"rel":"thumbnails","href":"/dashboards/20053/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":24133,"status":1,"statusCode":"active","orgId":1480701,"orgSlug":"yogatw","orgName":"yogatw","slug":"metabase","downloads":284,"revisionId":38488,"revision":1,"name":"Metabase","description":"Dashboard for Metabase supported metrics","readme":"# Metabase System Operations Dashboard for Grafana\r\n\r\nThis dashboard is designed to help you monitor and understand the operational performance of your Metabase instance. It visualizes key metrics related to query performance, dashboard load times, and user activity, giving you deep insights into how your Metabase system is being used.\r\n\r\n## Maintenance & Support\r\n\r\nThis dashboard is maintained by **yo-ga**. The source code is available on the official [**GitHub repository**](https://github.com/yo-ga/grafana-metabase-dashboard).\r\n\r\nIf you encounter any issues, have suggestions, or find a bug, please open a new issue directly on the [**GitHub repository's Issues page**](https://github.com/yo-ga/grafana-metabase-dashboard/issues).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-09-22T09:06:14.000Z","updatedAt":"2025-09-23T06:40:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24133"},{"rel":"revisions","href":"/dashboards/24133/revisions"},{"rel":"revision","href":"/dashboards/24133/revisions/1"},{"rel":"download","href":"/dashboards/24133/revisions/1/download"},{"rel":"org","href":"/orgs/yogatw"},{"rel":"images","href":"/dashboards/24133/images"},{"rel":"thumbnails","href":"/dashboards/24133/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12607,"status":1,"statusCode":"active","orgId":398676,"orgSlug":"triliovault","orgName":"triliovault","slug":"metadata-detail","downloads":748,"revisionId":27968,"revision":6,"name":"Metadata Detail","description":"","readme":"Metadata Detail Dashboard of TrilioVault for Kubernetes","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-07-08T13:50:14.000Z","updatedAt":"2023-03-03T04:17:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12607"},{"rel":"revisions","href":"/dashboards/12607/revisions"},{"rel":"revision","href":"/dashboards/12607/revisions/6"},{"rel":"download","href":"/dashboards/12607/revisions/6/download"},{"rel":"org","href":"/orgs/triliovault"},{"rel":"images","href":"/dashboards/12607/images"},{"rel":"thumbnails","href":"/dashboards/12607/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14127,"status":1,"statusCode":"active","orgId":27274,"orgSlug":"evryfs","orgName":"evryFs","slug":"metallb","downloads":39306,"revisionId":20725,"revision":1,"name":"Metallb","description":"Metallb key metrics","readme":"Key metrics for metallb on Kubernetes","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-03-23T18:35:23.000Z","updatedAt":"2021-03-23T18:36:02.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14127"},{"rel":"revisions","href":"/dashboards/14127/revisions"},{"rel":"revision","href":"/dashboards/14127/revisions/1"},{"rel":"download","href":"/dashboards/14127/revisions/1/download"},{"rel":"org","href":"/orgs/evryfs"},{"rel":"images","href":"/dashboards/14127/images"},{"rel":"thumbnails","href":"/dashboards/14127/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20162,"status":1,"statusCode":"active","orgId":256387,"orgSlug":"monsterrr","orgName":"M0NsTeRRR","slug":"metallb","downloads":17606,"revisionId":34589,"revision":6,"name":"Metallb","description":"Metallb dashboard https://metallb.universe.tf/  ","readme":"Pool, l2, client metric only.  \r\nIf you would like to add BGP metrics, PR are appreciated :)\r\nRepository : https://github.com/M0NsTeRRR/grafana-dashboards","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-12-15T16:30:58.000Z","updatedAt":"2024-10-10T15:48:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20162"},{"rel":"revisions","href":"/dashboards/20162/revisions"},{"rel":"revision","href":"/dashboards/20162/revisions/6"},{"rel":"download","href":"/dashboards/20162/revisions/6/download"},{"rel":"org","href":"/orgs/monsterrr"},{"rel":"images","href":"/dashboards/20162/images"},{"rel":"thumbnails","href":"/dashboards/20162/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9732,"status":1,"statusCode":"active","orgId":18696,"orgSlug":"ainich","orgName":"ainich","slug":"msf","downloads":550,"revisionId":13546,"revision":1,"name":"Metasploit dashboard","description":"Metasploit dashboard","readme":"Datasource postresql. 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Includes relayer's logs as well as ETH, MTR and BNB balances monitoring. Uses InfluxDB as a data source.","readme":"### Do not forget to replace {{ template_variables }} in all given examples of Telegraf configuration files\n\n# Dashboard description\nThe dasboard has 3 sections\n\nThe first one shows balances for relayer's address in ETH, MTR and BNB as well as bridge balances in all these blockchains\n\nThe second section shows relayer's host key metrics such as CPU, RAM and disk usage, number of running docker containers and logs from relayer's container\n\nThe last section is for Meter node. Use it if you host your own node. It shows node's CPU, RAM and Disk utilization, number of running containers and tracks the tip of the blockachain. You can find there a panel with highest imported block number and a panel with blocks imported per minute information\n\nYou can find `telegraf.conf` example for meter-passport-relayer in the Collector Configuration Details section\n\nTelegraf configuration for meter node uses the same `cpu`, `mem`, `disk` and `docker` inputs as for relayer with some additions for blockchain metrics. Here is the `telegraf.conf` for meter-node:\n\n```ini\n[global_tags]\n[agent]\n  interval = \"30s\"\n  round_interval = true\n  metric_batch_size = 1000\n  metric_buffer_limit = 10000\n  collection_jitter = \"0s\"\n  flush_interval = \"10s\"\n  flush_jitter = \"0s\"\n  hostname = \"meter\"\n  omit_hostname = false\n  logfile = \"/var/log/telegraf/telegraf.log\"\n\n[[inputs.cpu]]\n  percpu = false\n  totalcpu = true\n  collect_cpu_time = false\n  fieldpass = [\"usage_idle\"]\n\n[[inputs.mem]]\n  fieldpass = [\"used_percent\"]\n\n[[inputs.disk]]\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\n  fieldpass = [\"used_percent\",\"free\"]\n\n# Node container\n[[inputs.docker]]\n  endpoint = \"unix:///var/run/docker.sock\"\n  gather_services = false\n  container_name_include = [\"*\"]\n  timeout = \"5s\"\n  perdevice = false\n  total = false\n  fieldpass = [\"n_containers_running\"]\n\n## Meter blockchain metrics\n# Highest block number\n[[inputs.http]]\n  urls = [\"http://localhost:8669/blocks/best\"]\n  method = \"GET\"\n  headers = {\"Content-Type\" = \"application/json\"}\n  data_format = \"json\"\n  json_string_fields = [\"number\"]\n  [inputs.http.tags]\n    api_endpoint = \"blocks\"\n```","collectorType":"Telegraf","collectorConfig":"```ini\n[global_tags]\n[agent]\n  interval = \"30s\"\n  round_interval = true\n  metric_batch_size = 1000\n  metric_buffer_limit = 10000\n  collection_jitter = \"0s\"\n  flush_interval = \"10s\"\n  flush_jitter = \"0s\"\n  hostname = \"meter-relayer\"\n  omit_hostname = false\n  logfile = \"/var/log/telegraf/telegraf.log\"\n\n[[inputs.cpu]]\n  percpu = false\n  totalcpu = true\n  collect_cpu_time = false\n  fieldpass = [\"usage_idle\"]\n\n[[inputs.mem]]\n  fieldpass = [\"used_percent\"]\n\n[[inputs.disk]]\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\n  fieldpass = [\"used_percent\",\"free\"]\n\n# Relayer container\n[[inputs.docker]]\n  endpoint = \"unix:///var/run/docker.sock\"\n  gather_services = false\n  container_name_include = [\"*\"]\n  timeout = \"5s\"\n  perdevice = false\n  total = false\n  fieldpass = [\"n_containers_running\"]\n\n[[inputs.docker_log]]\n\n## Inputs to monitor relayer and bridge balances\n# ETH balance\n[[inputs.http]]\n  urls = [\"{{ eth_rpc_endpoint }}\"]\n  method = \"POST\"\n  body = '{\"jsonrpc\":\"2.0\",\"method\":\"eth_getBalance\",\"params\":[\"{{ relayer_address }}\", \"latest\"],\"id\":3}'\n  headers = {\"Content-Type\" = \"application/json\"}\n  data_format = \"json\"\n  json_string_fields = [\"result\"]\n  [inputs.http.tags]\n    blockchain = \"ethereum\"\n    address = \"relayer\"\n\n[[inputs.http]]\n  urls = [\"{{ eth_rpc_endpoint }}\"]\n  method = \"POST\"\n  body = '{\"jsonrpc\":\"2.0\",\"method\":\"eth_getBalance\",\"params\":[\"{{ eth_bridge_address }}\", \"latest\"],\"id\":3}'\n  headers = {\"Content-Type\" = \"application/json\"}\n  data_format = \"json\"\n  json_string_fields = [\"result\"]\n  [inputs.http.tags]\n    blockchain = \"ethereum\"\n    address = \"bridge\"\n\n# MTR balance\n[[inputs.http]]\n  urls = [\"{{ mtr_rpc_endpoint }}\"]\n  method = \"POST\"\n  body = '{\"jsonrpc\":\"2.0\",\"method\":\"eth_getBalance\",\"params\":[\"{{ relayer_address }}\", \"latest\"],\"id\":3}'\n  headers = {\"Content-Type\" = \"application/json\"}\n  data_format = \"json\"\n  json_string_fields = [\"result\"]\n  [inputs.http.tags]\n    blockchain = \"meter\"\n    address = \"relayer\"\n\n[[inputs.http]]\n  urls = [\"{{ mtr_rpc_endpoint }}\"]\n  method = \"POST\"\n  body = '{\"jsonrpc\":\"2.0\",\"method\":\"eth_getBalance\",\"params\":[\"{{ mtr_bridge_address }}\", \"latest\"],\"id\":3}'\n  headers = {\"Content-Type\" = \"application/json\"}\n  data_format = \"json\"\n  json_string_fields = [\"result\"]\n  [inputs.http.tags]\n    blockchain = \"meter\"\n    address = \"bridge\"\n\n# BNB balance\n[[inputs.http]]\n  urls = [\"{{ bsc_rpc_endpoint }}\"]\n  method = \"POST\"\n  body = '{\"jsonrpc\":\"2.0\",\"method\":\"eth_getBalance\",\"params\":[\"{{ relayer_address }}\", \"latest\"],\"id\":3}'\n  headers = {\"Content-Type\" = \"application/json\"}\n  data_format = \"json\"\n  json_string_fields = [\"result\"]\n  [inputs.http.tags]\n    blockchain = \"bsc\"\n    address = \"relayer\"\n\n[[inputs.http]]\n  urls = [\"{{ bsc_rpc_endpoint }}\"]\n  method = \"POST\"\n  body = '{\"jsonrpc\":\"2.0\",\"method\":\"eth_getBalance\",\"params\":[\"{{ bsc_bridge_address }}\", \"latest\"],\"id\":3}'\n  headers = {\"Content-Type\" = \"application/json\"}\n  data_format = \"json\"\n  json_string_fields = [\"result\"]\n  [inputs.http.tags]\n    blockchain = \"bsc\"\n    address = \"bridge\"\n\n## Convert \"result\" field from hexadecimal string to float\n[[processors.converter]]\n  [processors.converter.fields]\n    float = [\"result\"]\n\n[[outputs.influxdb]]\n  urls = [\"{{ telegraf_influxdb_url }}\"]\n  database = \"{{ telegraf_influxdb_database }}\"\n  username = \"{{ telegraf_influxdb_username }}\"\n  password = \"{{ telegraf_influxdb_password }}\"\n```","collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-06-23T06:41:36.000Z","updatedAt":"2021-06-23T07:15:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14613"},{"rel":"revisions","href":"/dashboards/14613/revisions"},{"rel":"revision","href":"/dashboards/14613/revisions/1"},{"rel":"download","href":"/dashboards/14613/revisions/1/download"},{"rel":"org","href":"/orgs/dzmitrykliapkou"},{"rel":"images","href":"/dashboards/14613/images"},{"rel":"thumbnails","href":"/dashboards/14613/thumbnails"}]},{"id":19253,"status":1,"statusCode":"active","orgId":912103,"orgSlug":"metisdemo","orgName":"metisdemo","slug":"metis-rds","downloads":302,"revisionId":29521,"revision":1,"name":"Metis RDS","description":" Metis helps developers to prevent your database code from breaking production","readme":"## Metis (https://www.metisdata.io/) \r\n##### helps developers to prevent your database code from breaking production. By using Metis, developers gain valuable insights into their Postgres databases, allowing them to detect performance problems through Grafana. With seamless integration, developers can easily switch to Metis for in-depth analysis of their databases, including configuration, table size, index activity, and query performance, ensuring a smooth and efficient database management process.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-30T12:14:49.000Z","updatedAt":"2023-08-07T12:36:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19253"},{"rel":"revisions","href":"/dashboards/19253/revisions"},{"rel":"revision","href":"/dashboards/19253/revisions/1"},{"rel":"download","href":"/dashboards/19253/revisions/1/download"},{"rel":"org","href":"/orgs/metisdemo"},{"rel":"images","href":"/dashboards/19253/images"},{"rel":"thumbnails","href":"/dashboards/19253/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20357,"status":1,"statusCode":"active","orgId":962205,"orgSlug":"marjaletes1","orgName":"marjaletes1","slug":"tabla-mdnite","downloads":261,"revisionId":31410,"revision":1,"name":"Metrica Solar","description":"Solar Marjal","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-01-25T18:54:36.000Z","updatedAt":"2024-01-25T19:24:40.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20357"},{"rel":"revisions","href":"/dashboards/20357/revisions"},{"rel":"revision","href":"/dashboards/20357/revisions/1"},{"rel":"download","href":"/dashboards/20357/revisions/1/download"},{"rel":"org","href":"/orgs/marjaletes1"},{"rel":"images","href":"/dashboards/20357/images"},{"rel":"thumbnails","href":"/dashboards/20357/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11700,"status":1,"statusCode":"active","orgId":165860,"orgSlug":"mnrgreg","orgName":"mnrgreg","slug":"container-namespace-metrics","downloads":3169,"revisionId":16557,"revision":1,"name":"Metricbeat Kubernetes Namespace Metrics","description":"Kubernetes Namespace level metrics using Elasticsearch Metricbeat","readme":"This dashboard shows Kubernetes cluster and node level metrics and events scoped to a specific Kubernetes cluster.\r\n\r\nSee also Kubernetes Cluster metrics:\r\nhttps://grafana.com/grafana/dashboards/11701","collectorType":"Beats","collectorConfig":"Uses standard Metricbeat Kubernetes Module\r\n\r\nhttps://www.elastic.co/guide/en/beats/metricbeat/master/metricbeat-module-kubernetes.html#metricbeat-module-kubernetes\r\n","collectorPluginList":"Metricbeat","datasource":"Elasticsearch","privacy":"public","createdAt":"2020-02-06T20:24:13.000Z","updatedAt":"2020-02-06T20:40:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11700"},{"rel":"revisions","href":"/dashboards/11700/revisions"},{"rel":"revision","href":"/dashboards/11700/revisions/1"},{"rel":"download","href":"/dashboards/11700/revisions/1/download"},{"rel":"org","href":"/orgs/mnrgreg"},{"rel":"images","href":"/dashboards/11700/images"},{"rel":"thumbnails","href":"/dashboards/11700/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":11701,"status":1,"statusCode":"active","orgId":165860,"orgSlug":"mnrgreg","orgName":"mnrgreg","slug":"container-platform-metrics","downloads":605,"revisionId":16558,"revision":1,"name":"Metricbeat Kubernetes Platform Metrics","description":"Kubernetes Cluster level metrics using Elasticsearch Metricbeat","readme":"This dashboard shows kubernetes cluster & node level metrics & events scoped to a specific kubernetes cluster.\r\n\r\n\r\nSee also Kubernetes Namespace metrics:\r\nhttps://grafana.com/grafana/dashboards/11700\r\n","collectorType":"Beats","collectorConfig":"Uses standard Metricbeat Kubernetes Module:\r\n\r\nhttps://www.elastic.co/guide/en/beats/metricbeat/master/metricbeat-module-kubernetes.html#metricbeat-module-kubernetes\r\n\r\n","collectorPluginList":"Metricbeat","datasource":"Elasticsearch","privacy":"public","createdAt":"2020-02-06T20:35:20.000Z","updatedAt":"2020-02-06T20:39:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11701"},{"rel":"revisions","href":"/dashboards/11701/revisions"},{"rel":"revision","href":"/dashboards/11701/revisions/1"},{"rel":"download","href":"/dashboards/11701/revisions/1/download"},{"rel":"org","href":"/orgs/mnrgreg"},{"rel":"images","href":"/dashboards/11701/images"},{"rel":"thumbnails","href":"/dashboards/11701/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":11507,"status":1,"statusCode":"active","orgId":331817,"orgSlug":"gungorugur","orgName":"gungorugur","slug":"production-dashboard","downloads":1111,"revisionId":16216,"revision":1,"name":"Metricbeat System and Kubernetes Resource Usage Dashboard","description":"Send metrics to elasticsearch using metricbeat, visualize them via Grafana. \r\nThis example dashboard contains, system memory usage, system cpu usage, kubernetes pod cpu usage and kubernetes  pod memory usage, file system usage.\r\n\r\n","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2020-01-03T10:33:42.000Z","updatedAt":"2020-01-03T10:45:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11507"},{"rel":"revisions","href":"/dashboards/11507/revisions"},{"rel":"revision","href":"/dashboards/11507/revisions/1"},{"rel":"download","href":"/dashboards/11507/revisions/1/download"},{"rel":"org","href":"/orgs/gungorugur"},{"rel":"images","href":"/dashboards/11507/images"},{"rel":"thumbnails","href":"/dashboards/11507/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":552,"status":1,"statusCode":"active","orgId":28062,"orgSlug":"nobelbill","orgName":"nobelbill","slug":"metricbeat-elasticsearch","downloads":5062,"revisionId":738,"revision":1,"name":"metricbeat-elasticsearch","description":"Very easy monitoring \r\nstack : metricbeat , elasticsearch\r\nmetrics : system(cpu, memory, process,diskio...), redis, nginx,apache, mongodb, ...","readme":"flow : metricbeat -> elasticsearch -> grafana\r\n\r\nmetricbeat : https://www.elastic.co/kr/products/beats\r\ngathering metrics : system, redis, nginx, mongodb \r\n\r\npacketbeat : monitoring service port(tomcat, apache, mongodb....)\r\n\r\nmixed datasource is multi elastic datasource.\r\n\r\nmetricbeat index, packetbeat index.\r\n\r\n","collectorType":"Beats","collectorConfig":null,"collectorPluginList":"Metricbeat, Packetbeat, Filebeat","datasource":"Elasticsearch, mixed","privacy":"public","createdAt":"2016-10-05T02:24:34.000Z","updatedAt":"2017-11-08T09:37:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/552"},{"rel":"revisions","href":"/dashboards/552/revisions"},{"rel":"revision","href":"/dashboards/552/revisions/1"},{"rel":"download","href":"/dashboards/552/revisions/1/download"},{"rel":"org","href":"/orgs/nobelbill"},{"rel":"images","href":"/dashboards/552/images"},{"rel":"thumbnails","href":"/dashboards/552/thumbnails"}],"datasourceSlugs":["elasticsearch","mixed"]},{"id":11713,"status":1,"statusCode":"active","orgId":92566,"orgSlug":"hector8778","orgName":"hector8778","slug":"metricbeat-elasticsearch","downloads":886,"revisionId":16589,"revision":1,"name":"metricbeat-elasticsearch","description":"Very easy monitoring \r\nstack : metricbeat , elasticsearch\r\nmetrics : system(cpu, memory, process,diskio...), redis, nginx,apache, mongodb, ...","readme":"","collectorType":"Beats","collectorConfig":null,"collectorPluginList":"Metricbeat","datasource":"Elasticsearch, mixed","privacy":"public","createdAt":"2020-02-10T07:42:53.000Z","updatedAt":"2020-02-10T07:48:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11713"},{"rel":"revisions","href":"/dashboards/11713/revisions"},{"rel":"revision","href":"/dashboards/11713/revisions/1"},{"rel":"download","href":"/dashboards/11713/revisions/1/download"},{"rel":"org","href":"/orgs/hector8778"},{"rel":"images","href":"/dashboards/11713/images"},{"rel":"thumbnails","href":"/dashboards/11713/thumbnails"}],"datasourceSlugs":["elasticsearch","mixed"]},{"id":17451,"status":1,"statusCode":"active","orgId":742927,"orgSlug":"discolt911","orgName":"discolt911","slug":"metricbeat-system","downloads":538,"revisionId":26805,"revision":1,"name":"metricbeat-system","description":"System metrics from metricbeat to elasticsearch \r\nby nasuyun","readme":"metricbeat for nasuyun cloud elasticsearch \r\nby nasuyun","collectorType":"Beats","collectorConfig":"","collectorPluginList":"Metricbeat","datasource":"Elasticsearch","privacy":"public","createdAt":"2022-11-21T10:38:37.000Z","updatedAt":"2022-11-25T13:26:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/17451"},{"rel":"revisions","href":"/dashboards/17451/revisions"},{"rel":"revision","href":"/dashboards/17451/revisions/1"},{"rel":"download","href":"/dashboards/17451/revisions/1/download"},{"rel":"org","href":"/orgs/discolt911"},{"rel":"images","href":"/dashboards/17451/images"},{"rel":"thumbnails","href":"/dashboards/17451/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":6058,"status":1,"statusCode":"active","orgId":147958,"orgSlug":"andrespineros","orgName":"andrespineros","slug":"system-metrics","downloads":3342,"revisionId":8251,"revision":1,"name":"Metricbeat, Elastic, System metricset","description":"Metricbeat, Elastic, System metricset. Based on System metrics by erhwenkuo.","readme":"Based on: \r\n\r\nhttps://github.com/shazChaudhry/docker-elastic\r\n\r\nand\r\n\r\nDashboard System metrics by erhwenkuo\r\n","collectorType":"Beats","collectorConfig":"```\r\n#-------------------------------- Autodiscovery -------------------------------\r\nmetricbeat.autodiscover:\r\n  providers:\r\n    - type: docker\r\n      templates:\r\n        - condition.contains:\r\n            docker.container.image: redis\r\n          config:\r\n            - module: redis\r\n              metricsets: [\"info\", \"keyspace\"]\r\n              hosts: \"${data.host}:${data.port}\"\r\n\r\nmetricbeat.modules:\r\n#------------------------------- System Module -------------------------------\r\n- module: system\r\n  metricsets: [\"cpu\", \"load\", \"memory\", \"network\", \"process\", \"process_summary\", \"core\", \"diskio\", \"socket\"]\r\n  processes: ['.*']\r\n  process.include_top_n:\r\n    by_cpu: 10\r\n    by_memory: 10\r\n  period: 10s\r\n  cpu.metrics:  [\"percentages\", \"normalized_percentages\"]\r\n  core.metrics: [\"percentages\"]\r\n\r\n- module: system\r\n  period: 30s\r\n  metricsets:\r\n    - filesystem\r\n    - fsstat\r\n  processors:\r\n  - drop_event.when.regexp:\r\n      system.filesystem.mount_point: '^/(sys|cgroup|proc|dev|etc|host|lib)($|/)'\r\n\r\n- module: system\r\n  period: 15m\r\n  metricsets:\r\n    - uptime\r\n\r\n#------------------------------- Docker Module -------------------------------\r\n- module: docker\r\n  metricsets: [\"container\", \"cpu\", \"diskio\", \"healthcheck\", \"info\", \"memory\", \"network\"]\r\n  hosts: [\"unix:///var/run/docker.sock\"]\r\n  period: 10s\r\n\r\n#------------------------------- Processors -------------------------------\r\nprocessors:\r\n- add_docker_metadata: ~\r\n- add_cloud_metadata: ~\r\n- add_locale: ~\r\n\r\n#-------------------------- Elasticsearch output ------------------------------\r\noutput.elasticsearch:\r\n  hosts: [\"${ELASTICSEARCH_HOST}:9200\"]\r\n  username: ${ELASTICSEARCH_USERNAME}\r\n  password: ${ELASTICSEARCH_PASSWORD}\r\n\r\nxpack.monitoring:\r\n  enabled: true\r\n  elasticsearch:\r\n\r\n#============================== Dashboards =====================================\r\nsetup.dashboards:\r\n  enabled: true\r\nsetup.kibana:\r\n  host: \"${KIBANA_HOST}:5601\"\r\n  username: ${ELASTICSEARCH_USERNAME}\r\n  password: ${ELASTICSEARCH_PASSWORD}\r\n```","collectorPluginList":"Metricbeat","datasource":"Elasticsearch","privacy":"public","createdAt":"2018-05-13T07:22:18.000Z","updatedAt":"2018-05-13T07:35:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6058"},{"rel":"revisions","href":"/dashboards/6058/revisions"},{"rel":"revision","href":"/dashboards/6058/revisions/1"},{"rel":"download","href":"/dashboards/6058/revisions/1/download"},{"rel":"org","href":"/orgs/andrespineros"},{"rel":"images","href":"/dashboards/6058/images"},{"rel":"thumbnails","href":"/dashboards/6058/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":16161,"status":1,"statusCode":"active","orgId":261409,"orgSlug":"mateusbonini1","orgName":"mateusbonini1","slug":"desktop-gamer-dashboard","downloads":1040,"revisionId":24521,"revision":1,"name":"METRICS BASIC FOR WINDOWS AND GRAPHIC CARD","description":"This dashboard was developed using metrics obtained from Zabbix with Open Hardware Monitor and the monitors were created by WMI queries that Open Hardware Monitor creates on Windows.\r\n\r\nI used some information from this model as a base:\r\n\r\nhttps://github.com/derpaherk/Zabbix-GPU-Monitoring/tree/master/AMD%20GPU\r\n\r\nIn this dashboard example the AMD HD 6850 graphics card model used.","readme":"Attention in the graphics was used the replace alias function to not display the Host name in the graphics for a better visualization !","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2022-04-25T13:28:07.000Z","updatedAt":"2022-04-25T13:38:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16161"},{"rel":"revisions","href":"/dashboards/16161/revisions"},{"rel":"revision","href":"/dashboards/16161/revisions/1"},{"rel":"download","href":"/dashboards/16161/revisions/1/download"},{"rel":"org","href":"/orgs/mateusbonini1"},{"rel":"images","href":"/dashboards/16161/images"},{"rel":"thumbnails","href":"/dashboards/16161/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":15855,"status":1,"statusCode":"active","orgId":372609,"orgSlug":"controlplane","orgName":"Controlplane","slug":"metrics-overview-cloud","downloads":78047,"revisionId":38910,"revision":40,"name":"Metrics Overview Cloud","description":"","readme":"Provided by [Control Plane](https://controlplane.com)\r\n\r\nThis dashboard shows a summary of a specific workload's performance and resource consumption over time. You may choose a different GVC and workload using the drop-downs at the top of the screen.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-03-08T00:07:25.000Z","updatedAt":"2025-11-04T16:28:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15855"},{"rel":"revisions","href":"/dashboards/15855/revisions"},{"rel":"revision","href":"/dashboards/15855/revisions/40"},{"rel":"download","href":"/dashboards/15855/revisions/40/download"},{"rel":"org","href":"/orgs/controlplane"},{"rel":"images","href":"/dashboards/15855/images"},{"rel":"thumbnails","href":"/dashboards/15855/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":279,"status":1,"statusCode":"active","orgId":1,"orgSlug":"raintank","orgName":"Grafana Labs","slug":"metrictank","downloads":2808,"revisionId":18518,"revision":16,"name":"Metrictank","description":"","readme":"Metrictank publishes its own internal stats to a graphite-compatible datastore (such as graphite/carbon or metrictank itself).\r\nThis dashboard queries that 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Pure T-SQL DMVs. 60+ panels: performance, memory, I/O, indexes, security, jobs, fragmentation, network, health score.","readme":"# Microsoft SQL Server Dashboard — Pure T-SQL\r\n\r\n**60+ panels | 8 sections | Zero Prometheus | No exporters needed**\r\n\r\nMonitor your SQL Server instances using only native T-SQL DMVs. Connect Grafana's built-in Microsoft SQL Server data source directly to your instance — no additional tools required.\r\n\r\n## Data Source Setup\r\n\r\n1. Add a **Microsoft SQL Server** data source in Grafana\r\n2. Point it to your SQL Server instance (`host:1433`)\r\n3. Use a login with `VIEW SERVER STATE` and `VIEW ANY DEFINITION` permissions (or `SA` for testing)\r\n4. Import this dashboard — done!\r\n\r\n> A [Docker Compose quickstart](https://github.com/czantoine/microsoft-sql-server-with-grafana/tree/main/quickstart) is available to test the dashboard in under 2 minutes.\r\n\r\n## Sections\r\n\r\n### 🔮 Overview\r\n🩺 Health Score (composite 0–100 gauge) · Server info (DB, version, edition, server name, uptime) · Batch Requests/s · Transactions/s · Page Splits/s · Full Scans/s · Lock Waits/s · Active sessions by login · Connections by application · Session status breakdown · Network I/O per client · Start time\r\n\r\n### ⚡ Query Performance\r\nTop 10 slowest queries · Top 10 CPU-heavy queries · Top 10 I/O-heavy queries (logical reads) · Top 10 most executed queries · Top 10 physical reads queries · Top 10 write-heavy queries · Compilations/s & Re-Compilations/s & Cache Hit % · Plan cache by type (donut) · Currently running requests (live table) · Cache Hit / Connections / Active Transactions gauges\r\n\r\n### 🖥 Server Performance & Waits\r\nTop 15 wait types (excludes benign waits) · Lock distribution by mode/status · Signal vs Resource waits (CPU vs I/O pressure) · Running / Sleeping / Blocked / Pending I/O counts · Active blocking chains · Open transactions with duration · TempDB allocation · I/O stall per DB file · Scheduler health per CPU\r\n\r\n### 🧠 Memory & Buffer\r\nPage Life Expectancy gauge · Memory Grants Pending gauge · Buffer Pool breakdown (clean/dirty) · Memory overview (Total/Target/Available/Used) · Top 10 memory clerks · Buffer pool per database (donut) · Index usage per table (seeks/scans/lookups/updates)\r\n\r\n### 🔄 Index Health\r\nIndex fragmentation with REBUILD / REORGANIZE / OK recommendations · Unused indexes (zero reads, ongoing write cost)\r\n\r\n### 💿 Database Space\r\nDatabase sizes · Transaction log space · File distribution (donut) · Top 15 tables by size · Backup history · Data overview (tables count, total rows, missing indexes) · Missing index suggestions from the optimizer\r\n\r\n### 🔒 Security & Errors\r\nLogins / Logouts / Deadlocks / Errors counters · Sysadmin role members (security audit) · Database states with recovery model and compatibility level\r\n\r\n### ⏰ Jobs Monitoring\r\nJob frequency (last 7 days) · Running jobs with duration · Scheduled jobs · Job history · Failed jobs with error messages\r\n\r\n## How It Works\r\n\r\nAll panels query SQL Server **DMVs** (Dynamic Management Views) directly via the Grafana MSSQL data source. 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Default is every 1 minute.\n  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.\nscrape_configs:\n  - job_name: \"node\"\n    file_sd_configs:\n    - refresh_interval: 1m\n      files: \n        - \"/etc/prometheus/targets.json\"\n  - job_name: 'prometheus'\n    static_configs:\n      - targets: ['localhost:9090']\n```\n然后采集的 `targets.json`  如下：下面文件里面 `${ip}`  替换为 Node.js 应用所在服务器的 ip 地址。\n```json\n[\n  {\n    \"targets\": [ \"${ip}:7001\" ],\n    \"labels\": {\n      \"env\": \"prod\",\n      \"job\": \"api\"\n    }\n  }\n]\n```\n然后当我们修改了这个文件后，通过prometheus的reload方法进行热加载。\n​\n\n​\n\n然后我们启动 `docker-compose.yml`  文件，\n```bash\n$ docker-compose up\n```\n\n\n至此，Prometheus 已经会去拉取我们 Node 应用程序的指标数据了。\n\n\n接下来就是如何展示这些采集到的数据了。\n\n\n## 数据展示\n\n\n我们可以借助 Grafana 来展示我们的数据。\n\n\n此处我们简单通过 Docker 来搭建一下 Grafana：\n```bash\n$ docker run -d --name=grafana -p 3000:3000 grafana/grafana\n```\n然后我们访问 127.0.0.1:3000，默认账号密码：admin:admin。\n然后访问后如下效果：\n![image.png](https://cdn.nlark.com/yuque/0/2021/png/187105/1617260561047-c2643a69-6258-491b-937d-9bfc4558252f.png#height=346&id=yNdWZ&margin=%5Bobject%20Object%5D&name=image.png&originHeight=692&originWidth=1496&originalType=binary&size=551202&status=done&style=none&width=748)\n然后我们让 Grafana 接入我们的 Prometheus 数据源：\n![image.png](https://cdn.nlark.com/yuque/0/2021/png/187105/1617260581029-1e2e06a8-3054-4ad8-96b5-d50ab9bb1612.png#height=286&id=atAvT&margin=%5Bobject%20Object%5D&name=image.png&originHeight=572&originWidth=1490&originalType=binary&size=169944&status=done&style=none&width=745)\n然后我们点击 Grafana 添加图表：\n![image.png](https://cdn.nlark.com/yuque/0/2021/png/187105/1617260624113-dd547d04-54be-4a6b-abaf-8dbeb5b85907.png#height=366&id=AsgrW&margin=%5Bobject%20Object%5D&name=image.png&originHeight=732&originWidth=1404&originalType=binary&size=160998&status=done&style=none&width=702)\n这边 ID 选择 11159，然后点击 load，然后点击下一步，然后点击 import 后，就能看到我们刚刚接入的效果了。\n\n\n![image.png](https://cdn.nlark.com/yuque/0/2021/png/187105/1617260639226-ee4afa51-93b8-458a-9f48-7e90b0fd6435.png#height=498&id=chhAE&margin=%5Bobject%20Object%5D&name=image.png&originHeight=996&originWidth=1914&originalType=binary&size=969345&status=done&style=none&width=957)\n这样开发者可以运维自己的 Node 程序了，例如，是否最近引入了一个 NPM 包导致了什么内存泄漏的情况，是否最近有应用重启的情况了。\n\n\n当然还能支持其他的自定义操作。\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-05-11T09:03:56.000Z","updatedAt":"2021-05-11T09:06:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14403"},{"rel":"revisions","href":"/dashboards/14403/revisions"},{"rel":"revision","href":"/dashboards/14403/revisions/1"},{"rel":"download","href":"/dashboards/14403/revisions/1/download"},{"rel":"org","href":"/orgs/stonejin"},{"rel":"images","href":"/dashboards/14403/images"},{"rel":"thumbnails","href":"/dashboards/14403/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14004,"status":1,"statusCode":"active","orgId":469701,"orgSlug":"migratorydata","orgName":"MigratoryData","slug":"migratorydata-dashboard-template","downloads":820,"revisionId":34396,"revision":2,"name":"MigratoryData Dashboard Template","description":"Dashboard Template for Monitoring MigratoryData","readme":"This dashboard template displays various MigratoryData metrics.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-03-04T15:04:46.000Z","updatedAt":"2024-09-25T07:21:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14004"},{"rel":"revisions","href":"/dashboards/14004/revisions"},{"rel":"revision","href":"/dashboards/14004/revisions/2"},{"rel":"download","href":"/dashboards/14004/revisions/2/download"},{"rel":"org","href":"/orgs/migratorydata"},{"rel":"images","href":"/dashboards/14004/images"},{"rel":"thumbnails","href":"/dashboards/14004/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14857,"status":1,"statusCode":"active","orgId":529168,"orgSlug":"hufhendr","orgName":"hufhendr","slug":"mikrotik","downloads":4264,"revisionId":31294,"revision":5,"name":"Mikrotik","description":"Mikrotik snmp monitoring (prometheus)","readme":"This dashboard is based on ID 14420. 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snmp_exporter. \r\n\r\n## Mentions\r\nBased on [Mikrotik v5](https://grafana.com/grafana/dashboards/14857-mikrotik/) dashboard\r\n\r\n## Example prometheus.yml configuration\r\n\r\n``` yaml\r\n  - job_name: 'mikrotik'\r\n    file_sd_configs:\r\n      - files:\r\n        - file_sd/mikrotik.yml\r\n    metrics_path: /snmp\r\n    params:\r\n      module: \r\n        - hrDevice\r\n        - hrStorage\r\n        - hrSystem\r\n        - if_mib\r\n        - mikrotik\r\n    relabel_configs:\r\n       - source_labels: [__address__]\r\n         target_label: __param_target\r\n       - source_labels: [instance_name]\r\n         target_label: instance\r\n       - target_label: __address__\r\n         replacement: 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metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-10T06:57:38.000Z","updatedAt":"2023-04-10T06:58:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18480"},{"rel":"revisions","href":"/dashboards/18480/revisions"},{"rel":"revision","href":"/dashboards/18480/revisions/1"},{"rel":"download","href":"/dashboards/18480/revisions/1/download"},{"rel":"org","href":"/orgs/adnnin"},{"rel":"images","href":"/dashboards/18480/images"},{"rel":"thumbnails","href":"/dashboards/18480/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11589,"status":1,"statusCode":"active","orgId":338895,"orgSlug":"kotofeych","orgName":"Konstantin Shumkin","slug":"mikrotik-monitoring","downloads":5034,"revisionId":20343,"revision":3,"name":"Mikrotik monitoring","description":"Mikrotik snmp monitoring","readme":"Monitoring mikrotik instances with grafana and prometheus via protocol SNMP. \n\nUsed exporter - [snmp_exporter](https://github.com/prometheus/snmp_exporter).\n\n`Generator` config example:\n```yaml\nmodules:\n  mikrotik:\n    walk:\n      - interfaces\n      - mtxrQueueSimpleTable\n      - hrProcessorLoad\n      - hrSystemUptime\n      - hrSystemDate\n      - hrMemorySize\n      - hrStorageTable\n      - sysUpTime      \n      - sysDescr\n    lookups:\n      - source_indexes: [ifIndex]\n        lookup: ifAlias\n      - source_indexes: [ifIndex]\n        lookup: ifDescr\n      - source_indexes: [ifIndex]\n        lookup: 1.3.6.1.2.1.31.1.1.1.1\n    overrides:\n      ifAlias:\n        ignore: true # Lookup metric\n      ifDescr:\n        ignore: true # Lookup metric\n      ifName:\n        ignore: true # Lookup metric\n      ifType:\n        type: EnumAsInfo\n```\n\n`Prometheus` config example:\n```yaml \n  - job_name: 'snmp'\n    scrape_interval: 10s\n    scrape_timeout: 10s\n    static_configs:\n      - targets:\n        - x.x.x.x  # SNMP device\n    metrics_path: /snmp\n    params:\n      module: [mikrotik]\n    relabel_configs:\n      - source_labels: [__address__]\n        target_label: __param_target\n      - source_labels: [__param_target]\n        target_label: instance\n      - target_label: __address__\n        replacement: localhost:9116  # The SNMP exporter's real hostname:port.\n```\n`snmp.yml` example:\n```yaml\n# WARNING: This file was auto-generated using snmp_exporter generator, manual changes will be lost.\nmikrotik:\n  walk:\n  - 1.3.6.1.2.1.2\n  - 1.3.6.1.2.1.25.2.3\n  - 1.3.6.1.2.1.25.3.3.1.2\n  - 1.3.6.1.2.1.31.1.1\n  - 1.3.6.1.4.1.14988.1.1.2.1\n  get:\n  - 1.3.6.1.2.1.1.1.0\n  - 1.3.6.1.2.1.1.3.0\n  - 1.3.6.1.2.1.25.1.1.0\n  - 1.3.6.1.2.1.25.1.2.0\n  - 1.3.6.1.2.1.25.2.2.0\n  metrics:\n  - name: sysDescr\n    oid: 1.3.6.1.2.1.1.1\n    type: DisplayString\n    help: A textual description of the entity - 1.3.6.1.2.1.1.1\n  - name: sysUpTime\n    oid: 1.3.6.1.2.1.1.3\n    type: gauge\n    help: The time (in hundredths of a second) since the network management portion\n      of the system was last re-initialized. - 1.3.6.1.2.1.1.3\n  - name: ifNumber\n    oid: 1.3.6.1.2.1.2.1\n    type: gauge\n    help: The number of network interfaces (regardless of their current state) present\n      on this system. - 1.3.6.1.2.1.2.1\n  - name: ifIndex\n    oid: 1.3.6.1.2.1.2.2.1.1\n    type: gauge\n    help: A unique value, greater than zero, for each interface - 1.3.6.1.2.1.2.2.1.1\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifType\n    oid: 1.3.6.1.2.1.2.2.1.3\n    type: EnumAsInfo\n    help: The type of interface - 1.3.6.1.2.1.2.2.1.3\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n    enum_values:\n      1: other\n      2: regular1822\n      3: hdh1822\n      4: ddnX25\n      5: rfc877x25\n      6: ethernetCsmacd\n      7: iso88023Csmacd\n      8: iso88024TokenBus\n      9: iso88025TokenRing\n      10: iso88026Man\n      11: starLan\n      12: proteon10Mbit\n      13: proteon80Mbit\n      14: hyperchannel\n      15: fddi\n      16: lapb\n      17: sdlc\n      18: ds1\n      19: e1\n      20: basicISDN\n      21: primaryISDN\n      22: propPointToPointSerial\n      23: ppp\n      24: softwareLoopback\n      25: eon\n      26: ethernet3Mbit\n      27: nsip\n      28: slip\n      29: ultra\n      30: ds3\n      31: sip\n      32: frameRelay\n      33: rs232\n      34: para\n      35: arcnet\n      36: arcnetPlus\n      37: atm\n      38: miox25\n      39: sonet\n      40: x25ple\n      41: iso88022llc\n      42: localTalk\n      43: smdsDxi\n      44: frameRelayService\n      45: v35\n      46: hssi\n      47: hippi\n      48: modem\n      49: aal5\n      50: sonetPath\n      51: sonetVT\n      52: smdsIcip\n      53: propVirtual\n      54: propMultiplexor\n      55: ieee80212\n      56: fibreChannel\n      57: hippiInterface\n      58: frameRelayInterconnect\n      59: aflane8023\n      60: aflane8025\n      61: cctEmul\n      62: fastEther\n      63: isdn\n      64: v11\n      65: v36\n      66: g703at64k\n      67: g703at2mb\n      68: qllc\n      69: fastEtherFX\n      70: channel\n      71: ieee80211\n      72: ibm370parChan\n      73: escon\n      74: dlsw\n      75: isdns\n      76: isdnu\n      77: lapd\n      78: ipSwitch\n      79: rsrb\n      80: atmLogical\n      81: ds0\n      82: ds0Bundle\n      83: bsc\n      84: async\n      85: cnr\n      86: iso88025Dtr\n      87: eplrs\n      88: arap\n      89: propCnls\n      90: hostPad\n      91: termPad\n      92: frameRelayMPI\n      93: x213\n      94: adsl\n      95: radsl\n      96: sdsl\n      97: vdsl\n      98: iso88025CRFPInt\n      99: myrinet\n      100: voiceEM\n      101: voiceFXO\n      102: voiceFXS\n      103: voiceEncap\n      104: voiceOverIp\n      105: atmDxi\n      106: atmFuni\n      107: atmIma\n      108: pppMultilinkBundle\n      109: ipOverCdlc\n      110: ipOverClaw\n      111: stackToStack\n      112: virtualIpAddress\n      113: mpc\n      114: ipOverAtm\n      115: iso88025Fiber\n      116: tdlc\n      117: gigabitEthernet\n      118: hdlc\n      119: lapf\n      120: v37\n      121: x25mlp\n      122: x25huntGroup\n      123: transpHdlc\n      124: interleave\n      125: fast\n      126: ip\n      127: docsCableMaclayer\n      128: docsCableDownstream\n      129: docsCableUpstream\n      130: a12MppSwitch\n      131: tunnel\n      132: coffee\n      133: ces\n      134: atmSubInterface\n      135: l2vlan\n      136: l3ipvlan\n      137: l3ipxvlan\n      138: digitalPowerline\n      139: mediaMailOverIp\n      140: dtm\n      141: dcn\n      142: ipForward\n      143: msdsl\n      144: ieee1394\n      145: if-gsn\n      146: dvbRccMacLayer\n      147: dvbRccDownstream\n      148: dvbRccUpstream\n      149: atmVirtual\n      150: mplsTunnel\n      151: srp\n      152: voiceOverAtm\n      153: voiceOverFrameRelay\n      154: idsl\n      155: compositeLink\n      156: ss7SigLink\n      157: propWirelessP2P\n      158: frForward\n      159: rfc1483\n      160: usb\n      161: ieee8023adLag\n      162: bgppolicyaccounting\n      163: frf16MfrBundle\n      164: h323Gatekeeper\n      165: h323Proxy\n      166: mpls\n      167: mfSigLink\n      168: hdsl2\n      169: shdsl\n      170: ds1FDL\n      171: pos\n      172: dvbAsiIn\n      173: dvbAsiOut\n      174: plc\n      175: nfas\n      176: tr008\n      177: gr303RDT\n      178: gr303IDT\n      179: isup\n      180: propDocsWirelessMaclayer\n      181: propDocsWirelessDownstream\n      182: propDocsWirelessUpstream\n      183: hiperlan2\n      184: propBWAp2Mp\n      185: sonetOverheadChannel\n      186: digitalWrapperOverheadChannel\n      187: aal2\n      188: radioMAC\n      189: atmRadio\n      190: imt\n      191: mvl\n      192: reachDSL\n      193: frDlciEndPt\n      194: atmVciEndPt\n      195: opticalChannel\n      196: opticalTransport\n      197: propAtm\n      198: voiceOverCable\n      199: infiniband\n      200: teLink\n      201: q2931\n      202: virtualTg\n      203: sipTg\n      204: sipSig\n      205: docsCableUpstreamChannel\n      206: econet\n      207: pon155\n      208: pon622\n      209: bridge\n      210: linegroup\n      211: voiceEMFGD\n      212: voiceFGDEANA\n      213: voiceDID\n      214: mpegTransport\n      215: sixToFour\n      216: gtp\n      217: pdnEtherLoop1\n      218: pdnEtherLoop2\n      219: opticalChannelGroup\n      220: homepna\n      221: gfp\n      222: ciscoISLvlan\n      223: actelisMetaLOOP\n      224: fcipLink\n      225: rpr\n      226: qam\n      227: lmp\n      228: cblVectaStar\n      229: docsCableMCmtsDownstream\n      230: adsl2\n      231: macSecControlledIF\n      232: macSecUncontrolledIF\n      233: aviciOpticalEther\n      234: atmbond\n      235: voiceFGDOS\n      236: mocaVersion1\n      237: ieee80216WMAN\n      238: adsl2plus\n      239: dvbRcsMacLayer\n      240: dvbTdm\n      241: dvbRcsTdma\n      242: x86Laps\n      243: wwanPP\n      244: wwanPP2\n      245: voiceEBS\n      246: ifPwType\n      247: ilan\n      248: pip\n      249: aluELP\n      250: gpon\n      251: vdsl2\n      252: capwapDot11Profile\n      253: capwapDot11Bss\n      254: capwapWtpVirtualRadio\n      255: bits\n      256: docsCableUpstreamRfPort\n      257: cableDownstreamRfPort\n      258: vmwareVirtualNic\n      259: ieee802154\n      260: otnOdu\n      261: otnOtu\n      262: ifVfiType\n      263: g9981\n      264: g9982\n      265: g9983\n      266: aluEpon\n      267: aluEponOnu\n      268: aluEponPhysicalUni\n      269: aluEponLogicalLink\n      270: aluGponOnu\n      271: aluGponPhysicalUni\n      272: vmwareNicTeam\n      277: docsOfdmDownstream\n      278: docsOfdmaUpstream\n      279: gfast\n      280: sdci\n      281: xboxWireless\n      282: fastdsl\n      283: docsCableScte55d1FwdOob\n      284: docsCableScte55d1RetOob\n      285: docsCableScte55d2DsOob\n      286: docsCableScte55d2UsOob\n      287: docsCableNdf\n      288: docsCableNdr\n      289: ptm\n      290: ghn\n      291: otnOtsi\n      292: otnOtuc\n      293: otnOduc\n      294: otnOtsig\n      295: microwaveCarrierTermination\n      296: microwaveRadioLinkTerminal\n      297: ieee8021axDrni\n      298: ax25\n      299: ieee19061nanocom\n  - name: ifMtu\n    oid: 1.3.6.1.2.1.2.2.1.4\n    type: gauge\n    help: The size of the largest packet which can be sent/received on the interface,\n      specified in octets - 1.3.6.1.2.1.2.2.1.4\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifSpeed\n    oid: 1.3.6.1.2.1.2.2.1.5\n    type: gauge\n    help: An estimate of the interface's current bandwidth in bits per second - 1.3.6.1.2.1.2.2.1.5\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifPhysAddress\n    oid: 1.3.6.1.2.1.2.2.1.6\n    type: PhysAddress48\n    help: The interface's address at its protocol sub-layer - 1.3.6.1.2.1.2.2.1.6\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifAdminStatus\n    oid: 1.3.6.1.2.1.2.2.1.7\n    type: gauge\n    help: The desired state of the interface - 1.3.6.1.2.1.2.2.1.7\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n    enum_values:\n      1: up\n      2: down\n      3: testing\n  - name: ifOperStatus\n    oid: 1.3.6.1.2.1.2.2.1.8\n    type: gauge\n    help: The current operational state of the interface - 1.3.6.1.2.1.2.2.1.8\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n    enum_values:\n      1: up\n      2: down\n      3: testing\n      4: unknown\n      5: dormant\n      6: notPresent\n      7: lowerLayerDown\n  - name: ifLastChange\n    oid: 1.3.6.1.2.1.2.2.1.9\n    type: gauge\n    help: The value of sysUpTime at the time the interface entered its current operational\n      state - 1.3.6.1.2.1.2.2.1.9\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifInOctets\n    oid: 1.3.6.1.2.1.2.2.1.10\n    type: counter\n    help: The total number of octets received on the interface, including framing\n      characters - 1.3.6.1.2.1.2.2.1.10\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifInUcastPkts\n    oid: 1.3.6.1.2.1.2.2.1.11\n    type: counter\n    help: The number of packets, delivered by this sub-layer to a higher (sub-)layer,\n      which were not addressed to a multicast or broadcast address at this sub-layer\n      - 1.3.6.1.2.1.2.2.1.11\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifInNUcastPkts\n    oid: 1.3.6.1.2.1.2.2.1.12\n    type: counter\n    help: The number of packets, delivered by this sub-layer to a higher (sub-)layer,\n      which were addressed to a multicast or broadcast address at this sub-layer -\n      1.3.6.1.2.1.2.2.1.12\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifInDiscards\n    oid: 1.3.6.1.2.1.2.2.1.13\n    type: counter\n    help: The number of inbound packets which were chosen to be discarded even though\n      no errors had been detected to prevent their being deliverable to a higher-layer\n      protocol - 1.3.6.1.2.1.2.2.1.13\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifInErrors\n    oid: 1.3.6.1.2.1.2.2.1.14\n    type: counter\n    help: For packet-oriented interfaces, the number of inbound packets that contained\n      errors preventing them from being deliverable to a higher-layer protocol - 1.3.6.1.2.1.2.2.1.14\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifInUnknownProtos\n    oid: 1.3.6.1.2.1.2.2.1.15\n    type: counter\n    help: For packet-oriented interfaces, the number of packets received via the interface\n      which were discarded because of an unknown or unsupported protocol - 1.3.6.1.2.1.2.2.1.15\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifOutOctets\n    oid: 1.3.6.1.2.1.2.2.1.16\n    type: counter\n    help: The total number of octets transmitted out of the interface, including framing\n      characters - 1.3.6.1.2.1.2.2.1.16\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifOutUcastPkts\n    oid: 1.3.6.1.2.1.2.2.1.17\n    type: counter\n    help: The total number of packets that higher-level protocols requested be transmitted,\n      and which were not addressed to a multicast or broadcast address at this sub-layer,\n      including those that were discarded or not sent - 1.3.6.1.2.1.2.2.1.17\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifOutNUcastPkts\n    oid: 1.3.6.1.2.1.2.2.1.18\n    type: counter\n    help: The total number of packets that higher-level protocols requested be transmitted,\n      and which were addressed to a multicast or broadcast address at this sub-layer,\n      including those that were discarded or not sent - 1.3.6.1.2.1.2.2.1.18\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifOutDiscards\n    oid: 1.3.6.1.2.1.2.2.1.19\n    type: counter\n    help: The number of outbound packets which were chosen to be discarded even though\n      no errors had been detected to prevent their being transmitted - 1.3.6.1.2.1.2.2.1.19\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifOutErrors\n    oid: 1.3.6.1.2.1.2.2.1.20\n    type: counter\n    help: For packet-oriented interfaces, the number of outbound packets that could\n      not be transmitted because of errors - 1.3.6.1.2.1.2.2.1.20\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifOutQLen\n    oid: 1.3.6.1.2.1.2.2.1.21\n    type: gauge\n    help: The length of the output packet queue (in packets). - 1.3.6.1.2.1.2.2.1.21\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: hrSystemUptime\n    oid: 1.3.6.1.2.1.25.1.1\n    type: gauge\n    help: The amount of time since this host was last initialized - 1.3.6.1.2.1.25.1.1\n  - name: hrSystemDate\n    oid: 1.3.6.1.2.1.25.1.2\n    type: DateAndTime\n    help: The host's notion of the local date and time of day. - 1.3.6.1.2.1.25.1.2\n  - name: hrMemorySize\n    oid: 1.3.6.1.2.1.25.2.2\n    type: gauge\n    help: The amount of physical read-write main memory, typically RAM, contained\n      by the host. - 1.3.6.1.2.1.25.2.2\n  - name: hrStorageIndex\n    oid: 1.3.6.1.2.1.25.2.3.1.1\n    type: gauge\n    help: A unique value for each logical storage area contained by the host. - 1.3.6.1.2.1.25.2.3.1.1\n    indexes:\n    - labelname: hrStorageIndex\n      type: gauge\n  - name: hrStorageDescr\n    oid: 1.3.6.1.2.1.25.2.3.1.3\n    type: DisplayString\n    help: A description of the type and instance of the storage described by this\n      entry. - 1.3.6.1.2.1.25.2.3.1.3\n    indexes:\n    - labelname: hrStorageIndex\n      type: gauge\n  - name: hrStorageAllocationUnits\n    oid: 1.3.6.1.2.1.25.2.3.1.4\n    type: gauge\n    help: The size, in bytes, of the data objects allocated from this pool - 1.3.6.1.2.1.25.2.3.1.4\n    indexes:\n    - labelname: hrStorageIndex\n      type: gauge\n  - name: hrStorageSize\n    oid: 1.3.6.1.2.1.25.2.3.1.5\n    type: gauge\n    help: The size of the storage represented by this entry, in units of hrStorageAllocationUnits\n      - 1.3.6.1.2.1.25.2.3.1.5\n    indexes:\n    - labelname: hrStorageIndex\n      type: gauge\n  - name: hrStorageUsed\n    oid: 1.3.6.1.2.1.25.2.3.1.6\n    type: gauge\n    help: The amount of the storage represented by this entry that is allocated, in\n      units of hrStorageAllocationUnits. - 1.3.6.1.2.1.25.2.3.1.6\n    indexes:\n    - labelname: hrStorageIndex\n      type: gauge\n  - name: hrStorageAllocationFailures\n    oid: 1.3.6.1.2.1.25.2.3.1.7\n    type: counter\n    help: The number of requests for storage represented by this entry that could\n      not be honored due to not enough storage - 1.3.6.1.2.1.25.2.3.1.7\n    indexes:\n    - labelname: hrStorageIndex\n      type: gauge\n  - name: hrProcessorLoad\n    oid: 1.3.6.1.2.1.25.3.3.1.2\n    type: gauge\n    help: The average, over the last minute, of the percentage of time that this processor\n      was not idle - 1.3.6.1.2.1.25.3.3.1.2\n    indexes:\n    - labelname: hrDeviceIndex\n      type: gauge\n  - name: ifInMulticastPkts\n    oid: 1.3.6.1.2.1.31.1.1.1.2\n    type: counter\n    help: The number of packets, delivered by this sub-layer to a higher (sub-)layer,\n      which were addressed to a multicast address at this sub-layer - 1.3.6.1.2.1.31.1.1.1.2\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifInBroadcastPkts\n    oid: 1.3.6.1.2.1.31.1.1.1.3\n    type: counter\n    help: The number of packets, delivered by this sub-layer to a higher (sub-)layer,\n      which were addressed to a broadcast address at this sub-layer - 1.3.6.1.2.1.31.1.1.1.3\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifOutMulticastPkts\n    oid: 1.3.6.1.2.1.31.1.1.1.4\n    type: counter\n    help: The total number of packets that higher-level protocols requested be transmitted,\n      and which were addressed to a multicast address at this sub-layer, including\n      those that were discarded or not sent - 1.3.6.1.2.1.31.1.1.1.4\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifOutBroadcastPkts\n    oid: 1.3.6.1.2.1.31.1.1.1.5\n    type: counter\n    help: The total number of packets that higher-level protocols requested be transmitted,\n      and which were addressed to a broadcast address at this sub-layer, including\n      those that were discarded or not sent - 1.3.6.1.2.1.31.1.1.1.5\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifHCInOctets\n    oid: 1.3.6.1.2.1.31.1.1.1.6\n    type: counter\n    help: The total number of octets received on the interface, including framing\n      characters - 1.3.6.1.2.1.31.1.1.1.6\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifHCInUcastPkts\n    oid: 1.3.6.1.2.1.31.1.1.1.7\n    type: counter\n    help: The number of packets, delivered by this sub-layer to a higher (sub-)layer,\n      which were not addressed to a multicast or broadcast address at this sub-layer\n      - 1.3.6.1.2.1.31.1.1.1.7\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifHCInMulticastPkts\n    oid: 1.3.6.1.2.1.31.1.1.1.8\n    type: counter\n    help: The number of packets, delivered by this sub-layer to a higher (sub-)layer,\n      which were addressed to a multicast address at this sub-layer - 1.3.6.1.2.1.31.1.1.1.8\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifHCInBroadcastPkts\n    oid: 1.3.6.1.2.1.31.1.1.1.9\n    type: counter\n    help: The number of packets, delivered by this sub-layer to a higher (sub-)layer,\n      which were addressed to a broadcast address at this sub-layer - 1.3.6.1.2.1.31.1.1.1.9\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifHCOutOctets\n    oid: 1.3.6.1.2.1.31.1.1.1.10\n    type: counter\n    help: The total number of octets transmitted out of the interface, including framing\n      characters - 1.3.6.1.2.1.31.1.1.1.10\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifHCOutUcastPkts\n    oid: 1.3.6.1.2.1.31.1.1.1.11\n    type: counter\n    help: The total number of packets that higher-level protocols requested be transmitted,\n      and which were not addressed to a multicast or broadcast address at this sub-layer,\n      including those that were discarded or not sent - 1.3.6.1.2.1.31.1.1.1.11\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifHCOutMulticastPkts\n    oid: 1.3.6.1.2.1.31.1.1.1.12\n    type: counter\n    help: The total number of packets that higher-level protocols requested be transmitted,\n      and which were addressed to a multicast address at this sub-layer, including\n      those that were discarded or not sent - 1.3.6.1.2.1.31.1.1.1.12\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifHCOutBroadcastPkts\n    oid: 1.3.6.1.2.1.31.1.1.1.13\n    type: counter\n    help: The total number of packets that higher-level protocols requested be transmitted,\n      and which were addressed to a broadcast address at this sub-layer, including\n      those that were discarded or not sent - 1.3.6.1.2.1.31.1.1.1.13\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifLinkUpDownTrapEnable\n    oid: 1.3.6.1.2.1.31.1.1.1.14\n    type: gauge\n    help: Indicates whether linkUp/linkDown traps should be generated for this interface\n      - 1.3.6.1.2.1.31.1.1.1.14\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n    enum_values:\n      1: enabled\n      2: disabled\n  - name: ifHighSpeed\n    oid: 1.3.6.1.2.1.31.1.1.1.15\n    type: gauge\n    help: An estimate of the interface's current bandwidth in units of 1,000,000 bits\n      per second - 1.3.6.1.2.1.31.1.1.1.15\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: ifPromiscuousMode\n    oid: 1.3.6.1.2.1.31.1.1.1.16\n    type: gauge\n    help: This object has a value of false(2) if this interface only accepts packets/frames\n      that are addressed to this station - 1.3.6.1.2.1.31.1.1.1.16\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n    enum_values:\n      1: \"true\"\n      2: \"false\"\n  - name: ifConnectorPresent\n    oid: 1.3.6.1.2.1.31.1.1.1.17\n    type: gauge\n    help: This object has the value 'true(1)' if the interface sublayer has a physical\n      connector and the value 'false(2)' otherwise. - 1.3.6.1.2.1.31.1.1.1.17\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n    enum_values:\n      1: \"true\"\n      2: \"false\"\n  - name: ifCounterDiscontinuityTime\n    oid: 1.3.6.1.2.1.31.1.1.1.19\n    type: gauge\n    help: The value of sysUpTime on the most recent occasion at which any one or more\n      of this interface's counters suffered a discontinuity - 1.3.6.1.2.1.31.1.1.1.19\n    indexes:\n    - labelname: ifIndex\n      type: gauge\n    lookups:\n    - labels:\n      - ifIndex\n      labelname: ifAlias\n      oid: 1.3.6.1.2.1.31.1.1.1.18\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifDescr\n      oid: 1.3.6.1.2.1.2.2.1.2\n      type: DisplayString\n    - labels:\n      - ifIndex\n      labelname: ifName\n      oid: 1.3.6.1.2.1.31.1.1.1.1\n      type: DisplayString\n  - name: mtxrQueueSimpleIndex\n    oid: 1.3.6.1.4.1.14988.1.1.2.1.1.1\n    type: gauge\n    help: ' - 1.3.6.1.4.1.14988.1.1.2.1.1.1'\n    indexes:\n    - labelname: mtxrQueueSimpleIndex\n      type: gauge\n  - name: mtxrQueueSimpleName\n    oid: 1.3.6.1.4.1.14988.1.1.2.1.1.2\n    type: DisplayString\n    help: ' - 1.3.6.1.4.1.14988.1.1.2.1.1.2'\n    indexes:\n    - labelname: mtxrQueueSimpleIndex\n      type: gauge\n  - name: mtxrQueueSimpleSrcAddr\n    oid: 1.3.6.1.4.1.14988.1.1.2.1.1.3\n    type: InetAddressIPv4\n    help: ' - 1.3.6.1.4.1.14988.1.1.2.1.1.3'\n    indexes:\n    - labelname: mtxrQueueSimpleIndex\n      type: gauge\n  - name: mtxrQueueSimpleSrcMask\n    oid: 1.3.6.1.4.1.14988.1.1.2.1.1.4\n    type: InetAddressIPv4\n    help: ' - 1.3.6.1.4.1.14988.1.1.2.1.1.4'\n    indexes:\n    - labelname: mtxrQueueSimpleIndex\n      type: gauge\n  - name: mtxrQueueSimpleDstAddr\n    oid: 1.3.6.1.4.1.14988.1.1.2.1.1.5\n    type: InetAddressIPv4\n    help: ' - 1.3.6.1.4.1.14988.1.1.2.1.1.5'\n    indexes:\n    - labelname: mtxrQueueSimpleIndex\n      type: gauge\n  - name: mtxrQueueSimpleDstMask\n    oid: 1.3.6.1.4.1.14988.1.1.2.1.1.6\n    type: InetAddressIPv4\n    help: ' - 1.3.6.1.4.1.14988.1.1.2.1.1.6'\n    indexes:\n    - labelname: mtxrQueueSimpleIndex\n      type: gauge\n  - name: mtxrQueueSimpleIface\n    oid: 1.3.6.1.4.1.14988.1.1.2.1.1.7\n    type: gauge\n    help: interface index - 1.3.6.1.4.1.14988.1.1.2.1.1.7\n    indexes:\n    - labelname: mtxrQueueSimpleIndex\n      type: gauge\n  - name: mtxrQueueSimpleBytesIn\n    oid: 1.3.6.1.4.1.14988.1.1.2.1.1.8\n    type: counter\n    help: ' - 1.3.6.1.4.1.14988.1.1.2.1.1.8'\n    indexes:\n    - labelname: mtxrQueueSimpleIndex\n      type: gauge\n  - name: mtxrQueueSimpleBytesOut\n    oid: 1.3.6.1.4.1.14988.1.1.2.1.1.9\n    type: counter\n    help: ' - 1.3.6.1.4.1.14988.1.1.2.1.1.9'\n    indexes:\n    - labelname: mtxrQueueSimpleIndex\n      type: gauge\n  - name: mtxrQueueSimplePacketsIn\n    oid: 1.3.6.1.4.1.14988.1.1.2.1.1.10\n    type: counter\n    help: ' - 1.3.6.1.4.1.14988.1.1.2.1.1.10'\n    indexes:\n    - labelname: mtxrQueueSimpleIndex\n      type: gauge\n  - name: mtxrQueueSimplePacketsOut\n    oid: 1.3.6.1.4.1.14988.1.1.2.1.1.11\n    type: counter\n    help: ' - 1.3.6.1.4.1.14988.1.1.2.1.1.11'\n    indexes:\n    - labelname: mtxrQueueSimpleIndex\n      type: gauge\n  - name: mtxrQueueSimplePCQQueuesIn\n    oid: 1.3.6.1.4.1.14988.1.1.2.1.1.12\n    type: counter\n    help: ' - 1.3.6.1.4.1.14988.1.1.2.1.1.12'\n    indexes:\n    - labelname: mtxrQueueSimpleIndex\n      type: gauge\n  - name: mtxrQueueSimplePCQQueuesOut\n    oid: 1.3.6.1.4.1.14988.1.1.2.1.1.13\n    type: counter\n    help: ' - 1.3.6.1.4.1.14988.1.1.2.1.1.13'\n    indexes:\n    - labelname: mtxrQueueSimpleIndex\n      type: gauge\n  - name: mtxrQueueSimpleDroppedIn\n    oid: 1.3.6.1.4.1.14988.1.1.2.1.1.14\n    type: counter\n    help: ' - 1.3.6.1.4.1.14988.1.1.2.1.1.14'\n    indexes:\n    - labelname: mtxrQueueSimpleIndex\n      type: gauge\n  - name: mtxrQueueSimpleDroppedOut\n    oid: 1.3.6.1.4.1.14988.1.1.2.1.1.15\n    type: counter\n    help: ' - 1.3.6.1.4.1.14988.1.1.2.1.1.15'\n    indexes:\n    - labelname: mtxrQueueSimpleIndex\n      type: gauge                  \n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-21T06:43:52.000Z","updatedAt":"2021-02-16T07:36:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":4,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/11589"},{"rel":"revisions","href":"/dashboards/11589/revisions"},{"rel":"revision","href":"/dashboards/11589/revisions/3"},{"rel":"download","href":"/dashboards/11589/revisions/3/download"},{"rel":"org","href":"/orgs/kotofeych"},{"rel":"images","href":"/dashboards/11589/images"},{"rel":"thumbnails","href":"/dashboards/11589/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14420,"status":1,"statusCode":"active","orgId":494585,"orgSlug":"igorkha","orgName":"igorkha","slug":"mikrotik-monitoring","downloads":7984,"revisionId":25467,"revision":9,"name":"Mikrotik monitoring","description":"Mikrotik monitoring (support 9.0.5) added w60G","readme":"# Grafana dashboard for mikrotik\r\n\r\n[![Github repo](https://img.shields.io/badge/Github-black?logo=github)](https://github.com/IgorKha/Grafana-Mikrotik)\r\n[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)\r\n![mikrotikOS](https://img.shields.io/badge/Mikrotik_rOS-v7.4-blue)\r\n![Grafana](https://img.shields.io/badge/Grafana-9.0.5-orange?logo=grafana)\r\n![Prometheus](https://img.shields.io/badge/Prometheus-2.37.0-red?logo=prometheus)\r\n![snmp_exporter](https://img.shields.io/badge/snmp__exporter-0.20.0-red?logo=prometheus)\r\n\r\n[![Donate using Liberapay](https://liberapay.com/assets/widgets/donate.svg)](https://liberapay.com/~1772367/donate)\r\n\r\n### What's new ?\r\n\r\n* added 60GHz monitoring\r\n\r\n---------\r\n## ? Deploy with docker-compose (grafana+prometheus+snmp_exporter)\r\n---------\r\n### deploy with bash script\r\n\r\n```console\r\ncurl -fsSL https://raw.githubusercontent.com/IgorKha/Grafana-Mikrotik/master/run.sh | bash -s -- --config\r\n```\r\n> You can also pass some arguments to script to set some these options:\r\n>\r\n>    --config: change the user and password to grafana and specify the mikrotik IP address\r\n>\r\n>    stop: stop docker containers\r\n>\r\n>    --help\r\n>\r\n>For example:\r\n>\r\n```console\r\nbash run.sh --config\r\n```\r\n\r\n[![asciicast](https://asciinema.org/a/nOhuc7LvI6bRWbg7dcvqFQ4Kc.png)](https://asciinema.org/a/nOhuc7LvI6bRWbg7dcvqFQ4Kc)\r\n\r\n---------\r\n### deploy with docker-compose manual\r\n1.  clone repository\r\n```console\r\ngit clone https://github.com/IgorKha/Grafana-Mikrotik.git && cd Grafana-Mikrotik\r\n```\r\n2. Change targets ip (192.168.88.1) into file prometheus/prometheus.yml\r\n```console\r\nnano prometheus/prometheus.yml\r\n```\r\n3. Run docker-compose\r\n```console\r\ndocker-compose up -d\r\n```\r\n4. Open [localhost:3000](http://localhost:3000)\r\n\r\n### Grafana:\r\n*  **login:**  `admin `\r\n\r\n*  **password:** `mikrotik`\r\n\r\n*If you want to change the credentials, then edit the `.env` file*\r\n\r\n-------\r\n\r\n## More information \r\n[https://github.com/IgorKha/Grafana-Mikrotik](https://github.com/IgorKha/Grafana-Mikrotik)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-05-11T20:06:54.000Z","updatedAt":"2022-07-27T13:26:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":12,"reviewsAvgRating":4.58,"links":[{"rel":"self","href":"/dashboards/14420"},{"rel":"revisions","href":"/dashboards/14420/revisions"},{"rel":"revision","href":"/dashboards/14420/revisions/9"},{"rel":"download","href":"/dashboards/14420/revisions/9/download"},{"rel":"org","href":"/orgs/igorkha"},{"rel":"images","href":"/dashboards/14420/images"},{"rel":"thumbnails","href":"/dashboards/14420/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16513,"status":1,"statusCode":"active","orgId":671354,"orgSlug":"drzerk88","orgName":"drzerk88","slug":"mikrotik-monitoring","downloads":358,"revisionId":25204,"revision":1,"name":"Mikrotik monitoring","description":"Mikrotik monitoring (support 9.0.1) added w60G","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-06-28T19:58:29.000Z","updatedAt":"2022-06-28T19:58:50.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16513"},{"rel":"revisions","href":"/dashboards/16513/revisions"},{"rel":"revision","href":"/dashboards/16513/revisions/1"},{"rel":"download","href":"/dashboards/16513/revisions/1/download"},{"rel":"org","href":"/orgs/drzerk88"},{"rel":"images","href":"/dashboards/16513/images"},{"rel":"thumbnails","href":"/dashboards/16513/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19880,"status":1,"statusCode":"active","orgId":411747,"orgSlug":"zh30","orgName":"salarcon30","slug":"mikrotik-monitoring","downloads":278,"revisionId":30546,"revision":1,"name":"Mikrotik monitoring","description":"Mikrotik monitoring (support 9.0.5) added w60G","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"nginx","datasource":"Prometheus","privacy":"public","createdAt":"2023-10-30T07:25:21.000Z","updatedAt":"2023-10-30T07:27:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19880"},{"rel":"revisions","href":"/dashboards/19880/revisions"},{"rel":"revision","href":"/dashboards/19880/revisions/1"},{"rel":"download","href":"/dashboards/19880/revisions/1/download"},{"rel":"org","href":"/orgs/zh30"},{"rel":"images","href":"/dashboards/19880/images"},{"rel":"thumbnails","href":"/dashboards/19880/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21512,"status":1,"statusCode":"active","orgId":1171601,"orgSlug":"micpetliberal","orgName":"micpetliberal","slug":"mikrotik-monitoring","downloads":280,"revisionId":33566,"revision":1,"name":"Mikrotik Monitoring","description":"Mikrotik Monitoring (support 9.0.5) added w60G","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-07-12T13:06:35.000Z","updatedAt":"2024-07-12T13:07:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21512"},{"rel":"revisions","href":"/dashboards/21512/revisions"},{"rel":"revision","href":"/dashboards/21512/revisions/1"},{"rel":"download","href":"/dashboards/21512/revisions/1/download"},{"rel":"org","href":"/orgs/micpetliberal"},{"rel":"images","href":"/dashboards/21512/images"},{"rel":"thumbnails","href":"/dashboards/21512/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21823,"status":1,"statusCode":"active","orgId":1212570,"orgSlug":"mexline","orgName":"mexline","slug":"mikrotik-monitoring","downloads":291,"revisionId":34148,"revision":1,"name":"Mikrotik monitoring","description":"Mikrotik monitoring (support 9.0.5) added w60G","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-09-03T19:55:57.000Z","updatedAt":"2024-09-03T19:57:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21823"},{"rel":"revisions","href":"/dashboards/21823/revisions"},{"rel":"revision","href":"/dashboards/21823/revisions/1"},{"rel":"download","href":"/dashboards/21823/revisions/1/download"},{"rel":"org","href":"/orgs/mexline"},{"rel":"images","href":"/dashboards/21823/images"},{"rel":"thumbnails","href":"/dashboards/21823/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13670,"status":1,"statusCode":"active","orgId":452073,"orgSlug":"mskrha","orgName":"mskrha","slug":"mikrotik-queue-tree","downloads":415,"revisionId":19957,"revision":1,"name":"MikroTik Queue Tree","description":"MikroTik Queue Tree visualisation.","readme":"Visualise the Queue Tree of a MikroTik router. Data is collected using Telegraf's SNMP input plugin.","collectorType":"Telegraf","collectorConfig":"```shell\r\n[[inputs.snmp]]\r\n  agents = [  \"192.0.2.1\" ]\r\n  interval = \"10s\"\r\n  timeout = \"10s\"\r\n  retries = 3\r\n  version = 2\r\n  community = \"public\"\r\n  max_repetitions = 30\r\n  name = \"snmp.MikroTik\"\r\n  # System name (hostname)\r\n  [[inputs.snmp.field]]\r\n    is_tag = true\r\n    name = \"sysName\"\r\n    oid = \"RFC1213-MIB::sysName.0\"\r\n  # System vendor OID\r\n  [[inputs.snmp.field]]\r\n    name = \"sysObjectID\"\r\n    oid = \"RFC1213-MIB::sysObjectID.0\"\r\n  # System description\r\n  [[inputs.snmp.field]]\r\n    name = \"sysDescr\"\r\n    oid = \"RFC1213-MIB::sysDescr.0\"\r\n  # System uptime\r\n  [[inputs.snmp.field]]\r\n    name = \"sysUpTime\"\r\n    oid = \"RFC1213-MIB::sysUpTime.0\"\r\n  # Queue Tree table\r\n  [[inputs.snmp.table]]\r\n    oid = \"MIKROTIK-MIB::mikrotikExperimentalModule.mtXRouterOs.mtxrQueues.mtxrQueueTreeTable\"\r\n    [[inputs.snmp.table.field]]\r\n      is_tag = true\r\n      oid = \"MIKROTIK-MIB::mikrotikExperimentalModule.mtXRouterOs.mtxrQueues.mtxrQueueTreeTable.mtxrQueueTreeEntry.mtxrQueueTreeName\"\r\n```","collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2021-01-03T13:55:32.000Z","updatedAt":"2021-01-03T14:14:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13670"},{"rel":"revisions","href":"/dashboards/13670/revisions"},{"rel":"revision","href":"/dashboards/13670/revisions/1"},{"rel":"download","href":"/dashboards/13670/revisions/1/download"},{"rel":"org","href":"/orgs/mskrha"},{"rel":"images","href":"/dashboards/13670/images"},{"rel":"thumbnails","href":"/dashboards/13670/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23148,"status":1,"statusCode":"active","orgId":1118912,"orgSlug":"marcusronney","orgName":"marcusronney","slug":"mikrotik-rb-750gr3-router","downloads":1003,"revisionId":36600,"revision":1,"name":"Mikrotik RB 750Gr3 Router","description":"Mikrotik RB750Gr3 Router","readme":"Monitoramento Mikrotik RB750Gr3 Router.\r\n\r\nGithub = https://github.com/Marcusronney?tab=repositories\r\n\r\nStatus do Dispositivo\r\n\r\nOnline/Offline\r\n\r\nTempo de atividade (uptime)\r\n\r\nRecursos do Sistema\r\n\r\nUso de CPU (por núcleo)\r\n\r\nUso de memória RAM\r\n\r\nEspaço em disco disponível\r\n\r\nTemperatura do equipamento\r\n\r\nConectividade\r\n\r\nPerda de pacotes (ICMP)\r\n\r\nLatência da rede\r\n\r\nInterfaces de Rede\r\n\r\nEstado das portas (UP/DOWN)\r\n\r\nTráfego de upload e download por interface\r\n\r\nGráficos de picos de banda (em tempo real)\r\n\r\nAlertas e Problemas (Zabbix)\r\n\r\nProblemas ativos ou resolvidos (ex: temperatura elevada)\r\n\r\nHistórico de incidentes monitorados\r\n\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Zabbix","privacy":"public","createdAt":"2025-03-24T19:17:02.000Z","updatedAt":"2025-03-25T13:17:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23148"},{"rel":"revisions","href":"/dashboards/23148/revisions"},{"rel":"revision","href":"/dashboards/23148/revisions/1"},{"rel":"download","href":"/dashboards/23148/revisions/1/download"},{"rel":"org","href":"/orgs/marcusronney"},{"rel":"images","href":"/dashboards/23148/images"},{"rel":"thumbnails","href":"/dashboards/23148/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":14571,"status":1,"statusCode":"active","orgId":510078,"orgSlug":"dodotry512","orgName":"dodotry","slug":"mikrotik-ros2","downloads":816,"revisionId":23771,"revision":11,"name":"Mikrotik ROS","description":"更新适配8.3.X版本。","readme":"zabbix基于snmpV2监控Mikrotik ROS，ROS为6.4.XX。","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2021-06-12T03:33:51.000Z","updatedAt":"2022-02-09T07:28:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14571"},{"rel":"revisions","href":"/dashboards/14571/revisions"},{"rel":"revision","href":"/dashboards/14571/revisions/11"},{"rel":"download","href":"/dashboards/14571/revisions/11/download"},{"rel":"org","href":"/orgs/dodotry512"},{"rel":"images","href":"/dashboards/14571/images"},{"rel":"thumbnails","href":"/dashboards/14571/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":24875,"status":1,"statusCode":"active","orgId":1670245,"orgSlug":"jesof","orgName":"jesof","slug":"mikrotik-router-monitoring","downloads":90,"revisionId":39996,"revision":5,"name":"MikroTik Router Monitoring","description":"","readme":"# MikroTik Router Monitoring\r\n\r\n[![GitHub](https://img.shields.io/github/v/release/jesof/mikrotik-exporter.svg)](https://github.com/jesof/mikrotik-exporter/releases)\r\n[![Crates.io](https://img.shields.io/crates/v/mikrotik-exporter.svg)](https://crates.io/crates/mikrotik-exporter)\r\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\r\n\r\nMonitor multiple MikroTik RouterOS devices with comprehensive metrics including system resources, network interfaces, WireGuard VPN, firewall rules, certificates, and connection tracking. Requires [mikrotik-exporter](https://github.com/jesof/mikrotik-exporter).\r\n\r\n## Features\r\n\r\n- Multi-router support\r\n- System resources (CPU, memory, uptime)\r\n- Network interfaces (traffic, errors, status)\r\n- WireGuard VPN peers\r\n- Firewall rules (bytes/packets counters)\r\n- SSL certificates (expiry tracking)\r\n- Connection tracking\r\n- Exporter health metrics\r\n\r\n## Requirements\r\n\r\n- [mikrotik-exporter](https://github.com/jesof/mikrotik-exporter)\r\n- Prometheus data source\r\n- Grafana 8.0+\r\n\r\n## Installation\r\n\r\nImport dashboard ID: `24875`\r\nOr download JSON from [Grafana Dashboards](https://grafana.com/grafana/dashboards/24875-mikrotik-router-monitoring/)\r\nOr download JSON from [GitHub](https://github.com/jesof/mikrotik-exporter/blob/main/grafana/dashboard.json)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-02-15T09:54:30.000Z","updatedAt":"2026-02-23T06:04:33.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24875"},{"rel":"revisions","href":"/dashboards/24875/revisions"},{"rel":"revision","href":"/dashboards/24875/revisions/5"},{"rel":"download","href":"/dashboards/24875/revisions/5/download"},{"rel":"org","href":"/orgs/jesof"},{"rel":"images","href":"/dashboards/24875/images"},{"rel":"thumbnails","href":"/dashboards/24875/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15454,"status":1,"statusCode":"active","orgId":582489,"orgSlug":"soroush7339","orgName":"srkaviani","slug":"mikrotik-snmp","downloads":1959,"revisionId":23316,"revision":1,"name":"Mikrotik snmp","description":"Mikrotik monitoring (8.2.1) Edited  By Soroush Kaviani","readme":"Mikrotik Dashboard for SNMP Exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-01-01T05:54:59.000Z","updatedAt":"2022-01-01T05:57:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15454"},{"rel":"revisions","href":"/dashboards/15454/revisions"},{"rel":"revision","href":"/dashboards/15454/revisions/1"},{"rel":"download","href":"/dashboards/15454/revisions/1/download"},{"rel":"org","href":"/orgs/soroush7339"},{"rel":"images","href":"/dashboards/15454/images"},{"rel":"thumbnails","href":"/dashboards/15454/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17544,"status":1,"statusCode":"active","orgId":706461,"orgSlug":"izzali","orgName":"izzali","slug":"mikrotik-snmp","downloads":419,"revisionId":26937,"revision":1,"name":"Mikrotik snmp","description":"Mikrotik monitoring (8.2.1) Edited  By Soroush Kaviani","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-12-06T13:12:04.000Z","updatedAt":"2022-12-06T13:14:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17544"},{"rel":"revisions","href":"/dashboards/17544/revisions"},{"rel":"revision","href":"/dashboards/17544/revisions/1"},{"rel":"download","href":"/dashboards/17544/revisions/1/download"},{"rel":"org","href":"/orgs/izzali"},{"rel":"images","href":"/dashboards/17544/images"},{"rel":"thumbnails","href":"/dashboards/17544/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17905,"status":1,"statusCode":"active","orgId":776075,"orgSlug":"sharkezxc","orgName":"sharkezxc","slug":"mikrotik-snmp","downloads":563,"revisionId":27449,"revision":1,"name":"Mikrotik SNMP","description":"Mikrotik snmp monitoring (prometheus)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-01-18T15:00:02.000Z","updatedAt":"2023-01-18T16:19:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17905"},{"rel":"revisions","href":"/dashboards/17905/revisions"},{"rel":"revision","href":"/dashboards/17905/revisions/1"},{"rel":"download","href":"/dashboards/17905/revisions/1/download"},{"rel":"org","href":"/orgs/sharkezxc"},{"rel":"images","href":"/dashboards/17905/images"},{"rel":"thumbnails","href":"/dashboards/17905/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14933,"status":1,"statusCode":"active","orgId":535194,"orgSlug":"ionescocalin","orgName":"ionescocalin","slug":"mikrotik-swos","downloads":878,"revisionId":22286,"revision":2,"name":"Mikrotik SWOS","description":"Mikrotik switchos snmp monitoring","readme":"It's a Dashboard built specifically for Mikrotik's SWOS.\nIt has been adapted from multiple RouterOS Dashboards here.\nThis is not a dashboard for RouterOS - it's only the switching part\n\nI use the SNMP_exporter running on the same machine as my Prometheus to gather the data from the switch via... 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If the entry shows as down, check the container logs (`docker compose logs -f` if a docker-compose file was created)\r\n\r\nYou can now add a new data source in Grafana and use this dashboard.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-10T14:18:58.000Z","updatedAt":"2024-03-10T15:02:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20659"},{"rel":"revisions","href":"/dashboards/20659/revisions"},{"rel":"revision","href":"/dashboards/20659/revisions/1"},{"rel":"download","href":"/dashboards/20659/revisions/1/download"},{"rel":"org","href":"/orgs/knownout"},{"rel":"images","href":"/dashboards/20659/images"},{"rel":"thumbnails","href":"/dashboards/20659/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17201,"status":1,"statusCode":"active","orgId":726971,"orgSlug":"bogdanpetrov","orgName":"bogdanpetrov","slug":"minecraft-singleplayer","downloads":277,"revisionId":26434,"revision":2,"name":"Minecraft Singleplayer","description":"Minecraft Prometheus Dashboard","readme":"Details are available here: [https://github.com/BogdanPetrov/minecraft_exporter](https://github.com/BogdanPetrov/minecraft_exporter)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-10-16T13:51:58.000Z","updatedAt":"2022-10-17T08:03:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17201"},{"rel":"revisions","href":"/dashboards/17201/revisions"},{"rel":"revision","href":"/dashboards/17201/revisions/2"},{"rel":"download","href":"/dashboards/17201/revisions/2/download"},{"rel":"org","href":"/orgs/bogdanpetrov"},{"rel":"images","href":"/dashboards/17201/images"},{"rel":"thumbnails","href":"/dashboards/17201/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13992,"status":1,"statusCode":"active","orgId":297685,"orgSlug":"abydos","orgName":"abydos","slug":"minepy-metrics","downloads":282,"revisionId":20510,"revision":1,"name":"Minepy-metrics","description":"Dashboard for https://github.com/Abydos12/minepy-metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-03-02T18:06:57.000Z","updatedAt":"2021-03-02T18:13:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13992"},{"rel":"revisions","href":"/dashboards/13992/revisions"},{"rel":"revision","href":"/dashboards/13992/revisions/1"},{"rel":"download","href":"/dashboards/13992/revisions/1/download"},{"rel":"org","href":"/orgs/abydos"},{"rel":"images","href":"/dashboards/13992/images"},{"rel":"thumbnails","href":"/dashboards/13992/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6248,"status":1,"statusCode":"active","orgId":101027,"orgSlug":"amenezes","orgName":"alexandre menezes","slug":"minio","downloads":4008,"revisionId":8510,"revision":1,"name":"Minio","description":"minio dashboard","readme":"## A simple dashboard to monitor Minio Server.\r\n\r\nprovide your feedback on: [https://github.com/amenezes/grafana-dashboards/issues](https://github.com/amenezes/grafana-dashboards/issues)\r\n\r\n`prometheus.yml` configuration:\r\n````yaml\r\n  - job_name: minio\r\n    metrics_path: /minio/prometheus/metrics\r\n    scrape_interval: 10s\r\n    static_configs:\r\n    - targets:\r\n      - <your_minio_server>:9000\r\n````\r\n\r\n##### - require minio server version: RELEASE.2018-05-11T00-29-24Z or later.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-05-25T01:38:57.000Z","updatedAt":"2018-05-25T20:36:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/6248"},{"rel":"revisions","href":"/dashboards/6248/revisions"},{"rel":"revision","href":"/dashboards/6248/revisions/1"},{"rel":"download","href":"/dashboards/6248/revisions/1/download"},{"rel":"org","href":"/orgs/amenezes"},{"rel":"images","href":"/dashboards/6248/images"},{"rel":"thumbnails","href":"/dashboards/6248/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19237,"status":1,"statusCode":"active","orgId":442868,"orgSlug":"minioinc","orgName":"MinIO, Inc","slug":"minio-bucket-dashboard","downloads":1929442,"revisionId":31881,"revision":2,"name":"MinIO Bucket Dashboard","description":"MinIO Grafana Dashboard - https://min.io/","readme":"## Introduction\r\nMinIO's high-performance object storage suite is software-defined and enables customers to build cloud-native data infrastructure for machine learning, analytics, and application data workloads. Read more [here](https://docs.min.io/).\r\n\r\n## Prometheus Configuration\r\nMinIO [Prometheus endpoint](https://github.com/minio/minio/tree/master/docs/metrics/prometheus) \r\nexposes detailed metrics about various sub-systems. \r\n\r\nThe Prometheus endpoint in MinIO requires authentication by default. Prometheus supports a bearer token approach to authenticate prometheus scrape requests, overriding the default Prometheus config with the one generated using mc. To generate a Prometheus config for an alias, use `mc` as follows `mc admin prometheus generate <alias>`\r\n\r\nTo allow public access without authentication for Prometheus metrics set environment `MINIO_PROMETHEUS_AUTH_TYPE=\"public\"`\r\n\r\n```yaml\r\nscrape_configs:\r\n- job_name: minio-job\r\n  bearer_token: <secret>\r\n  metrics_path: /minio/v2/metrics/bucket\r\n  scheme: http\r\n  static_configs:\r\n  - targets: ['localhost:9000']\r\n```\r\n\r\nFor further details, refer [MinIO Prometheus docs](https://docs.minio.io/docs/how-to-monitor-minio-using-prometheus.html).\r\n\r\n## Contributing\r\nReport any issues or submit improvements on [MinIO GitHub Repository](https://github.com/minio/minio/tree/master/docs/metrics/prometheus/grafana).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-27T06:09:37.000Z","updatedAt":"2024-03-05T19:43:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19237"},{"rel":"revisions","href":"/dashboards/19237/revisions"},{"rel":"revision","href":"/dashboards/19237/revisions/2"},{"rel":"download","href":"/dashboards/19237/revisions/2/download"},{"rel":"org","href":"/orgs/minioinc"},{"rel":"images","href":"/dashboards/19237/images"},{"rel":"thumbnails","href":"/dashboards/19237/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13502,"status":1,"statusCode":"active","orgId":442868,"orgSlug":"minioinc","orgName":"MinIO, Inc","slug":"minio-dashboard","downloads":29663806,"revisionId":31883,"revision":26,"name":"MinIO Dashboard","description":"MinIO Grafana Dashboard - https://min.io/","readme":"## Introduction\r\nMinIO's high-performance object storage suite is software defined and\r\nenables customers to build cloud-native data infrastructure for\r\nmachine learning, analytics and application data workloads. Read more [here](https://docs.min.io/).\r\n\r\n## Prometheus Configuration\r\nMinIO [Prometheus endpoint](https://github.com/minio/minio/tree/master/docs/metrics/prometheus) \r\nexposes detailed metrics about various sub-systems. \r\n\r\nThe Prometheus endpoint in MinIO requires authentication by default. Prometheus supports a bearer token approach to authenticate prometheus scrape requests, override the default Prometheus config with the one generated using mc. To generate a Prometheus config for an alias, use `mc` as follows `mc admin prometheus generate <alias>`\r\n\r\nTo allow public access without authentication for Prometheus metrics set environment `MINIO_PROMETHEUS_AUTH_TYPE=\"public\"`\r\n\r\n```yaml\r\nscrape_configs:\r\n- job_name: minio-job\r\n  bearer_token: <secret>\r\n  metrics_path: /minio/v2/metrics/cluster\r\n  scheme: http\r\n  static_configs:\r\n  - targets: ['localhost:9000']\r\n```\r\n\r\nFor further details, refer [MinIO Prometheus docs](https://docs.minio.io/docs/how-to-monitor-minio-using-prometheus.html).\r\n\r\n## Contributing\r\nReport any issues or submit improvements on [MinIO GitHub Repository](https://github.com/minio/minio/tree/master/docs/metrics/prometheus/grafana).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-12-03T05:37:30.000Z","updatedAt":"2024-03-05T19:44:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":4,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/13502"},{"rel":"revisions","href":"/dashboards/13502/revisions"},{"rel":"revision","href":"/dashboards/13502/revisions/26"},{"rel":"download","href":"/dashboards/13502/revisions/26/download"},{"rel":"org","href":"/orgs/minioinc"},{"rel":"images","href":"/dashboards/13502/images"},{"rel":"thumbnails","href":"/dashboards/13502/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16692,"status":1,"statusCode":"active","orgId":628440,"orgSlug":"travnewmatic","orgName":"travnewmatic","slug":"minio-dashboard","downloads":1053,"revisionId":25565,"revision":5,"name":"MinIO Dashboard","description":"MinIO Grafana Dashboard - https://min.io/","readme":"stolen from https://grafana.com/grafana/dashboards/13502","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-08-08T14:54:13.000Z","updatedAt":"2022-08-08T15:41:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16692"},{"rel":"revisions","href":"/dashboards/16692/revisions"},{"rel":"revision","href":"/dashboards/16692/revisions/5"},{"rel":"download","href":"/dashboards/16692/revisions/5/download"},{"rel":"org","href":"/orgs/travnewmatic"},{"rel":"images","href":"/dashboards/16692/images"},{"rel":"thumbnails","href":"/dashboards/16692/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17484,"status":1,"statusCode":"active","orgId":740068,"orgSlug":"klettit","orgName":"klettit","slug":"minio-dashboard","downloads":359,"revisionId":26847,"revision":1,"name":"MinIO Dashboard","description":"MinIO Grafana Dashboard - https://min.io/\r\n\r\nCustomized for usage with Telegraf and VictoriaMetrics","readme":"","collectorType":"Telegraf","collectorConfig":"[[inputs.prometheus]]\r\n    urls = [\"http://localhost:9000/minio/v2/metrics/cluster\"]\r\n    metric_version = 1","collectorPluginList":"prometheus","datasource":"Prometheus","privacy":"public","createdAt":"2022-11-25T07:13:11.000Z","updatedAt":"2022-11-25T07:14:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17484"},{"rel":"revisions","href":"/dashboards/17484/revisions"},{"rel":"revision","href":"/dashboards/17484/revisions/1"},{"rel":"download","href":"/dashboards/17484/revisions/1/download"},{"rel":"org","href":"/orgs/klettit"},{"rel":"images","href":"/dashboards/17484/images"},{"rel":"thumbnails","href":"/dashboards/17484/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25202,"status":1,"statusCode":"active","orgId":1612971,"orgSlug":"christopheversieux","orgName":"christopheversieux","slug":"minio-dashboard","downloads":18,"revisionId":40559,"revision":1,"name":"MinIO Dashboard","description":"MinIO Grafana Dashboard - https://min.io/","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-22T14:12:26.000Z","updatedAt":"2026-04-22T14:12:38.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25202"},{"rel":"revisions","href":"/dashboards/25202/revisions"},{"rel":"revision","href":"/dashboards/25202/revisions/1"},{"rel":"download","href":"/dashboards/25202/revisions/1/download"},{"rel":"org","href":"/orgs/christopheversieux"},{"rel":"images","href":"/dashboards/25202/images"},{"rel":"thumbnails","href":"/dashboards/25202/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20826,"status":1,"statusCode":"active","orgId":1090451,"orgSlug":"thesl18","orgName":"thesl18","slug":"minio-dashboard-influxdb2-0","downloads":365,"revisionId":32237,"revision":1,"name":"MinIO Dashboard InfluxDB2.0","description":"MinIO’s high-performance object storage suite is software defined and enables customers to build cloud-native data infrastructure for machine learning, analytics and application data workloads.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-04-02T14:31:41.000Z","updatedAt":"2024-04-02T14:41:38.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20826"},{"rel":"revisions","href":"/dashboards/20826/revisions"},{"rel":"revision","href":"/dashboards/20826/revisions/1"},{"rel":"download","href":"/dashboards/20826/revisions/1/download"},{"rel":"org","href":"/orgs/thesl18"},{"rel":"images","href":"/dashboards/20826/images"},{"rel":"thumbnails","href":"/dashboards/20826/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22977,"status":1,"statusCode":"active","orgId":1364523,"orgSlug":"sj19990","orgName":"sj19990","slug":"minio-dashboard","downloads":277,"revisionId":36301,"revision":1,"name":"MinIO Dashboardaaa","description":"MinIO Grafana Dashboard - https://min.io/","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-03-02T04:00:48.000Z","updatedAt":"2025-03-02T05:08:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22977"},{"rel":"revisions","href":"/dashboards/22977/revisions"},{"rel":"revision","href":"/dashboards/22977/revisions/1"},{"rel":"download","href":"/dashboards/22977/revisions/1/download"},{"rel":"org","href":"/orgs/sj19990"},{"rel":"images","href":"/dashboards/22977/images"},{"rel":"thumbnails","href":"/dashboards/22977/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11568,"status":1,"statusCode":"active","orgId":43178,"orgSlug":"bakaut","orgName":"bakaut","slug":"minio-hot-cluster-metrics","downloads":2108,"revisionId":16298,"revision":1,"name":"Minio distributed cluster metrics","description":"https://min.io/ is  High Performance Object Storage Amazon S3 compatible. This dashboard\r\ncollect all actual monitoring stats for minio cluster 2020-01-03T20-33-14Z version\r\n","readme":" First you shroud configure minio monitoring as described in [How to monitor MinIO server with Prometheus](https://github.com/minio/cookbook/blob/master/docs/how-to-monitor-minio-with-prometheus.md)\r\n\r\nThen import this dashboard","collectorType":"nodeExporter","collectorConfig":"```\r\nscrape_configs:\r\n- job_name: minio-job\r\n  # bearer_token: <secret>\r\n  metrics_path: /minio/prometheus/metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets: ['minio.bosh:9000', '10.20.30.40.bosh:9000']\r\n```","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-15T20:38:39.000Z","updatedAt":"2020-01-15T20:58:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/11568"},{"rel":"revisions","href":"/dashboards/11568/revisions"},{"rel":"revision","href":"/dashboards/11568/revisions/1"},{"rel":"download","href":"/dashboards/11568/revisions/1/download"},{"rel":"org","href":"/orgs/bakaut"},{"rel":"images","href":"/dashboards/11568/images"},{"rel":"thumbnails","href":"/dashboards/11568/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12563,"status":1,"statusCode":"active","orgId":397023,"orgSlug":"estevao90","orgName":"estevao90","slug":"minio-object-storage","downloads":2921,"revisionId":18185,"revision":5,"name":"MinIO Object Storage","description":"MinIO dashboard - https://min.io/","readme":"MinIO server exposes metrics on /minio/prometheus/metrics endpoint. Use the the demo server at <https://play.min.io:9000/minio/prometheus/metrics> to see the full list of exposed metrics.\r\n\r\nExample of configuration:\r\n```ssh\r\n- job_name: minio\r\n    metrics_path: /minio/prometheus/metrics\r\n    scheme: http\r\n    static_configs:\r\n      - targets: ['127.0.0.1:9000']\r\n```\r\nMore instructions to configure the collector, can be found here: [How to monitor MinIO server with Prometheus](https://docs.min.io/docs/how-to-monitor-minio-using-prometheus.html)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-07-01T20:34:35.000Z","updatedAt":"2020-07-14T18:38:50.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/12563"},{"rel":"revisions","href":"/dashboards/12563/revisions"},{"rel":"revision","href":"/dashboards/12563/revisions/5"},{"rel":"download","href":"/dashboards/12563/revisions/5/download"},{"rel":"org","href":"/orgs/estevao90"},{"rel":"images","href":"/dashboards/12563/images"},{"rel":"thumbnails","href":"/dashboards/12563/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10946,"status":1,"statusCode":"active","orgId":295358,"orgSlug":"wildloop","orgName":"wildloop","slug":"minio-overview","downloads":5179,"revisionId":15290,"revision":1,"name":"Minio Overview","description":"Minio dashboard - https://min.io/","readme":"MinIO server exposes the following metrics on `/minio/prometheus/metrics` endpoint. All of these can be accessed via Prometheus dashboard. The full list of exposed metrics along with their definition is available in the demo server at [https://play.min.io:9000/minio/prometheus/metrics](https://play.min.io:9000/minio/prometheus/metrics)\n\nMore info: [How to monitor MinIO server with Prometheus](https://github.com/minio/cookbook/blob/master/docs/how-to-monitor-minio-with-prometheus.md)\n","collectorType":"nodeExporter","collectorConfig":"```\nscrape_configs:\n- job_name: minio-job\n  # bearer_token: <secret>\n  metrics_path: /minio/prometheus/metrics\n  scheme: http\n  static_configs:\n  - targets: ['minio.bosh:9000', '10.20.30.40.bosh:9000']\n```","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-10-01T16:08:35.000Z","updatedAt":"2019-10-01T16:28:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/10946"},{"rel":"revisions","href":"/dashboards/10946/revisions"},{"rel":"revision","href":"/dashboards/10946/revisions/1"},{"rel":"download","href":"/dashboards/10946/revisions/1/download"},{"rel":"org","href":"/orgs/wildloop"},{"rel":"images","href":"/dashboards/10946/images"},{"rel":"thumbnails","href":"/dashboards/10946/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17317,"status":1,"statusCode":"active","orgId":735836,"orgSlug":"vaibhavm2","orgName":"vaibhavm2","slug":"minio-overview","downloads":356,"revisionId":26623,"revision":1,"name":"MinIO Overview","description":"MinIO dashboard - https://min.io/","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-01T06:21:52.000Z","updatedAt":"2022-11-01T06:22:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17317"},{"rel":"revisions","href":"/dashboards/17317/revisions"},{"rel":"revision","href":"/dashboards/17317/revisions/1"},{"rel":"download","href":"/dashboards/17317/revisions/1/download"},{"rel":"org","href":"/orgs/vaibhavm2"},{"rel":"images","href":"/dashboards/17317/images"},{"rel":"thumbnails","href":"/dashboards/17317/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15305,"status":1,"statusCode":"active","orgId":442868,"orgSlug":"minioinc","orgName":"MinIO, Inc","slug":"minio-replication-dashboard","downloads":1935878,"revisionId":31882,"revision":5,"name":"MinIO Replication Dashboard","description":"MinIO Grafana Dashboard - https://min.io/","readme":"## Introduction\r\nMinIO's high-performance object storage suite is software-defined and\r\nenables customers to build cloud-native data infrastructure for\r\nmachine learning, analytics, and application data workloads. Read more [here](https://docs.min.io/).\r\n\r\n## Prometheus Configuration\r\nMinIO [Prometheus endpoint](https://github.com/minio/minio/tree/master/docs/metrics/prometheus) \r\nexposes detailed metrics about various sub-systems. \r\n\r\nThe Prometheus endpoint in MinIO requires authentication by default. Prometheus supports a bearer token approach to authenticate Prometheus scrape requests, override the default Prometheus config with the one generated using mc. To generate a Prometheus config for an alias, use `mc` as follows `mc admin prometheus generate <alias>`\r\n\r\nTo allow public access without authentication for Prometheus metrics set environment `MINIO_PROMETHEUS_AUTH_TYPE=\"public\"`\r\n\r\n```yaml\r\nscrape_configs:\r\n- job_name: minio-job\r\n  bearer_token: <secret>\r\n  metrics_path: /minio/v2/metrics/cluster\r\n  scheme: http\r\n  static_configs:\r\n  - targets: ['localhost:9000']\r\n```\r\n\r\nFor further details, refer [MinIO Prometheus docs](https://docs.minio.io/docs/how-to-monitor-minio-using-prometheus.html).\r\n\r\n## Contributing\r\nReport any issues or submit improvements on [MinIO GitHub Repository](https://github.com/minio/minio/tree/master/docs/metrics/prometheus/grafana).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-11-23T19:07:24.000Z","updatedAt":"2024-03-05T19:43:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15305"},{"rel":"revisions","href":"/dashboards/15305/revisions"},{"rel":"revision","href":"/dashboards/15305/revisions/5"},{"rel":"download","href":"/dashboards/15305/revisions/5/download"},{"rel":"org","href":"/orgs/minioinc"},{"rel":"images","href":"/dashboards/15305/images"},{"rel":"thumbnails","href":"/dashboards/15305/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12063,"status":1,"statusCode":"active","orgId":367772,"orgSlug":"bgbiao","orgName":"bgbiao","slug":"minio","downloads":2403,"revisionId":17175,"revision":1,"name":"Minio 监控","description":"Minio Version: RELEASE.2020-01-16T22-40-29Z","readme":"Minio RELEASE.2020-01-16T22-40-29Z版本下的Metrics监控模板。\n\n`注意:` Minio默认的的metrics 接口是使用JWT进行认证的，因此在想要采集Metrics数据时，需要指定JWT认证Token或者直接把Prometheus接口设置成`public`权限。\n\n```\n# 直接开放metrics接口权限\n## 在启动之前增加如下环境变量\nMINIO_PROMETHEUS_AUTH_TYPE=\"public\"\n\n# 生成jwt\n$ mc admin prometheus generate  minio\nscrape_configs:\n- job_name: minio-job\n  bearer_token: eyJhbGciOiJIUzUxMiIsInR5cCI6IkpXVCJ9.eyJleHAiOjQ3NDAwMzM4MjAsImlzcyI6InByb21ldGhldXMiLCJzdWIiOiJNaW5pb1NvdWwifQ.1QiANgXVCpAPWCdF9EejhH608rZbdCRcHe3RtalC2XnScWtYMk_OG0ih-Z3t4ADb1cnYREdTrQwWscFw6Xvk3Q\n  metrics_path: /minio/prometheus/metrics\n  scheme: http\n  static_configs:\n  - targets: [minio.bgbiao.top]\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-10T01:35:54.000Z","updatedAt":"2020-04-10T01:54:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12063"},{"rel":"revisions","href":"/dashboards/12063/revisions"},{"rel":"revision","href":"/dashboards/12063/revisions/1"},{"rel":"download","href":"/dashboards/12063/revisions/1/download"},{"rel":"org","href":"/orgs/bgbiao"},{"rel":"images","href":"/dashboards/12063/images"},{"rel":"thumbnails","href":"/dashboards/12063/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11148,"status":1,"statusCode":"active","orgId":310930,"orgSlug":"sunhailinleo","orgName":"sunhailinleo","slug":"minio-pool","downloads":942,"revisionId":15563,"revision":1,"name":"Minio 监控","description":"Minio 监控面板（中文版，支持多个机器监控）\n主要监控信息","readme":"```yaml\n- job_name: minio\n    metrics_path: /minio/prometheus/metrics\n    scrape_interval: 10s\n    scheme: http\n    static_configs:\n      - targets: 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Supports multiple servers through a dropdown at the top.  \r\n[As mentioned on the MistServer developer blog, where setup instructions can also be found.](https://news.mistserver.org/news/83/Setting+up+Analytics+through+Prometheus+and+Grafana)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-12-08T22:28:13.000Z","updatedAt":"2020-10-15T12:28:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1096"},{"rel":"revisions","href":"/dashboards/1096/revisions"},{"rel":"revision","href":"/dashboards/1096/revisions/3"},{"rel":"download","href":"/dashboards/1096/revisions/3/download"},{"rel":"org","href":"/orgs/thulinma"},{"rel":"images","href":"/dashboards/1096/images"},{"rel":"thumbnails","href":"/dashboards/1096/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22165,"status":1,"statusCode":"active","orgId":904307,"orgSlug":"mithrildev","orgName":"mithrildev","slug":"mithril-aggregator","downloads":301,"revisionId":37111,"revision":6,"name":"Mithril aggregator","description":"Mithril aggregator metrics dashboard","readme":"Welcome to the **Mithril aggregator** dashboard for Grafana!\r\n\r\nWith this dashboard you can leverage the Prometheus endpoint of your **Mithril aggregator** node to visualize its key metrics.\r\n\r\nIn order to **activate the metrics endpoint** of your node, please refer to this guide:\r\nhttps://mithril.network/doc/manual/developer-docs/nodes/mithril-aggregator#subcommands\r\n\r\nThen configure the scraping of the metrics in a job name **mithril-aggregators**, add as many targets as you need in `/etc/prometheus/prometheus.yml`. Here is an example configuration:\r\n\r\n```yaml\r\n  - job_name: 'mithril-aggregators'\r\n    static_configs:\r\n      - targets: ['localhost:9090']\r\n```\r\n\r\nHere is a list of the metrics provided by the Mithril dashboard which will help better monitoring of the Mithril signer node:\r\n\r\n| Metrics                                           | Description                                                                                 |\r\n| ------------------------------------------------- | ------------------------------------------------------------------------------------------- |\r\n| **Certificate Detail Served**                     | Total number of certificates served for the selected period.                                |\r\n| **Mithril Stake Distribution Detail Served**      | Total number of Mithril stake distribution artifact details served for the selected period. |\r\n| **Cardano Stake Distribution Detail Served**      | Total number of Cardano stake distribution artifact details served for the selected period. |\r\n| **Cardano DB Detail Served**                      | Total number of Cardano database artifact details served for the selected period.           |\r\n| **Cardano DB Restorations**                       | Total number of Cardano database restorations for the selected period.                      |\r\n| **Cardano Transactions Detail Served**            | Total number of Cardano transaction artifact details served for the selected period.        |\r\n| **Cardano Transactions Proofs Served**            | Total number of Cardano transaction proofs served for the selected period.                  |\r\n| **Cardano Transactions Proved**                   | Total number of Cardano transactions proved for the selected period.                        |\r\n| **Signer Registrations Received**                 | Total number of signer registrations received for the selected period.                      |\r\n| **Signatures Registrations Received**             | Total number of signature registrations received for the selected period.                   |\r\n| **Mithril Stake Distribution Artifacts Produced** | Total number of Mithril stake distribution artifacts produced for the selected period.      |\r\n| **Cardano Stake Distribution Artifacts Produced** | Total number of Cardano stake distribution artifacts produced for the selected period.      |\r\n| **Cardano DB Artifacts Produced**                 | Total number of Cardano database artifacts produced for the selected period.                |\r\n| **Cardano Transactions Artifacts Produced**       | Total number of Cardano transaction artifacts produced for the selected period.             |\r\n| **Certificates Produced**                         | Total number of certificates produced for the selected period.                              |\r\n| **State Machine Cycles**                          | Total number of state machine cycles for the selected period.                               |\r\n| **State Machine Cycles Success**                  | Number of state machine cycles that ended successfully for the selected period.             |\r\n| **State Machine Cycles Errors**                   | Number of state machine cycles that ended due to an error for the selected period.          |\r\n\r\nLearn more about **Mithril** at https://mithril.network\r\n\r\nFeel free to reach out to us on the [Discord channel](https://discord.gg/5kaErDKDRq) for questions and/or help.\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-10-25T15:42:30.000Z","updatedAt":"2025-05-05T16:34:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22165"},{"rel":"revisions","href":"/dashboards/22165/revisions"},{"rel":"revision","href":"/dashboards/22165/revisions/6"},{"rel":"download","href":"/dashboards/22165/revisions/6/download"},{"rel":"org","href":"/orgs/mithrildev"},{"rel":"images","href":"/dashboards/22165/images"},{"rel":"thumbnails","href":"/dashboards/22165/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20776,"status":1,"statusCode":"active","orgId":904307,"orgSlug":"mithrildev","orgName":"mithrildev","slug":"mithril-signer","downloads":328,"revisionId":32202,"revision":2,"name":"Mithril signer","description":"Mithril signer metrics dashboard","readme":"Welcome to the **Mithril signer** dashboard for Grafana!\r\n\r\nWith this dashboard you can leverage the Prometheus endpoint of your **Mithril signer** node to visualize its key metrics.\r\n\r\nIn order to **activate the metrics endpoint** of your node, please refer to this guide: \r\nhttps://mithril.network/doc/manual/getting-started/run-signer-node/#activate-prometheus-endpoint\r\n\r\nThen configure the scraping of the metrics in a job name **mithril-signers**, add as many targets as you need in `/etc/prometheus/prometheus.yml`. Here is an example configuration:\r\n```yaml\r\n  - job_name: 'mithril-signers'\r\n    static_configs:\r\n      - targets: ['localhost:9090']\r\n```\r\n\r\nHere is a list of the metrics provided by the Mithril dashboard which will help better monitoring of the Mithril signer node:\r\n\r\n| Metrics                               | Description                                                     |\r\n| ------------------------------------- | --------------------------------------------------------------- |\r\n| **Signer Registration Last Epoch**    | The epoch during which the last signer registration occurred.    |\r\n| **Signer Registration Success**       | Number of successful signer registrations for the selected period.                     |\r\n| **Signer Registration Errors**        | Number of errors that occurred during signer registrations for the selected period.     |\r\n| **Signature Registration Last Epoch** | The epoch during which the last signature registration occurred. 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用户信息：展示每个用户对GPU/NPU卡的使用情况。","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-23T02:34:35.000Z","updatedAt":"2023-05-15T08:15:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18582"},{"rel":"revisions","href":"/dashboards/18582/revisions"},{"rel":"revision","href":"/dashboards/18582/revisions/2"},{"rel":"download","href":"/dashboards/18582/revisions/2/download"},{"rel":"org","href":"/orgs/zhangqian1216"},{"rel":"images","href":"/dashboards/18582/images"},{"rel":"thumbnails","href":"/dashboards/18582/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18583,"status":1,"statusCode":"active","orgId":839369,"orgSlug":"zhangqian1216","orgName":"zhangqian1216","slug":"modelarts-node-view","downloads":419,"revisionId":28757,"revision":2,"name":"ModelArts-Node-View","description":"","readme":"华为云ModelArts服务提供的节点视图，用于描述集群中某个节点的信息，主要分为以下部分：    \r\n- Overiew：提供节点简单的统计和使用信息，如运行中任务信息和卡的实时分配和使用情况；    \r\n- 资源使用详情：展示一段时间内，该节点上每张卡的利用率，显存利用率，CPU和MEMORY等信息；    \r\n- 历史任务分析：以表格分别展示7天和30天内的任务信息，如任务id，占用GPU/NPU卡数等；    ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-23T02:50:47.000Z","updatedAt":"2023-05-15T08:20:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18583"},{"rel":"revisions","href":"/dashboards/18583/revisions"},{"rel":"revision","href":"/dashboards/18583/revisions/2"},{"rel":"download","href":"/dashboards/18583/revisions/2/download"},{"rel":"org","href":"/orgs/zhangqian1216"},{"rel":"images","href":"/dashboards/18583/images"},{"rel":"thumbnails","href":"/dashboards/18583/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18590,"status":1,"statusCode":"active","orgId":839369,"orgSlug":"zhangqian1216","orgName":"zhangqian1216","slug":"modelarts-task-detail-view","downloads":328,"revisionId":28505,"revision":1,"name":"ModelArts-Task-Detail-View","description":"华为云ModelArts提供任务详细视图模板，作为任务视图的补充。","readme":"任务在节点上的明细视图抬头部分展示了当前任务的概要信息，接着是当前节点配给给当前任务的资源信息，然后分别展示了当前任务运行期间对配给资源的详细使用情况的时域图。","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-23T13:51:59.000Z","updatedAt":"2023-04-28T10:13:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18590"},{"rel":"revisions","href":"/dashboards/18590/revisions"},{"rel":"revision","href":"/dashboards/18590/revisions/1"},{"rel":"download","href":"/dashboards/18590/revisions/1/download"},{"rel":"org","href":"/orgs/zhangqian1216"},{"rel":"images","href":"/dashboards/18590/images"},{"rel":"thumbnails","href":"/dashboards/18590/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18604,"status":1,"statusCode":"active","orgId":839369,"orgSlug":"zhangqian1216","orgName":"zhangqian1216","slug":"modelarts-task-view","downloads":373,"revisionId":28758,"revision":2,"name":"ModelArts-Task-View","description":"","readme":"任务视图抬头部分展示了当前任务的概要信息，包括任务ID、类型、开始时间以及运行时长。紧接着展示了当前任务对GPU、NPU和CPU&内存等资源的使用情况，包括各种资源的负载占比分析以及资源使用情况的时域展示，并且罗列了各种资源分布的节点信息以及当前任务对节点配给的资源利用情况的概要信息。","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-25T13:28:35.000Z","updatedAt":"2023-05-15T08:20:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18604"},{"rel":"revisions","href":"/dashboards/18604/revisions"},{"rel":"revision","href":"/dashboards/18604/revisions/2"},{"rel":"download","href":"/dashboards/18604/revisions/2/download"},{"rel":"org","href":"/orgs/zhangqian1216"},{"rel":"images","href":"/dashboards/18604/images"},{"rel":"thumbnails","href":"/dashboards/18604/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18588,"status":1,"statusCode":"active","orgId":839369,"orgSlug":"zhangqian1216","orgName":"zhangqian1216","slug":"modelarts-user-view","downloads":371,"revisionId":28759,"revision":2,"name":"ModelArts-User-View","description":"","readme":"用户视图抬头部分展示了当前用户名下的任务数量以及当前用户的资源使用情况，后续分别展示了当前用户最近24小时和最近7天的任务概要信息，包括任务ID、类型、开始时间、运行时长以及CPU、内存、GPU、显存、NPU、NPU内存的使用情况。","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-23T07:37:15.000Z","updatedAt":"2023-05-15T08:21:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18588"},{"rel":"revisions","href":"/dashboards/18588/revisions"},{"rel":"revision","href":"/dashboards/18588/revisions/2"},{"rel":"download","href":"/dashboards/18588/revisions/2/download"},{"rel":"org","href":"/orgs/zhangqian1216"},{"rel":"images","href":"/dashboards/18588/images"},{"rel":"thumbnails","href":"/dashboards/18588/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14209,"status":1,"statusCode":"active","orgId":481169,"orgSlug":"modemstats","orgName":"Modem 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Prometheus exporter. For usage information, head over to the project on [GitHub](https://github.com/dcelasun/modem-stats/).\r\n\r\nThis is a fork of [msh100/modem-stats](https://github.com/msh100/modem-stats) with better Kubernetes compatibility, Prometheus support for dashboards, and updated dependencies.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-22T11:14:41.000Z","updatedAt":"2025-04-22T12:47:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23305"},{"rel":"revisions","href":"/dashboards/23305/revisions"},{"rel":"revision","href":"/dashboards/23305/revisions/2"},{"rel":"download","href":"/dashboards/23305/revisions/2/download"},{"rel":"org","href":"/orgs/grafanafc29"},{"rel":"images","href":"/dashboards/23305/images"},{"rel":"thumbnails","href":"/dashboards/23305/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23768,"status":1,"statusCode":"active","orgId":1479404,"orgSlug":"gurudesai200513","orgName":"gurudesai200513","slug":"modern-linux-node-dashboard","downloads":175,"revisionId":37801,"revision":1,"name":"Modern Linux Node Dashboard","description":"trial","readme":"","collectorType":"nodeExporter","collectorConfig":"# Step 1: Download Node Exporter\r\nwget https://github.com/prometheus/node_exporter/releases/latest/download/node_exporter-1.8.0.linux-amd64.tar.gz\r\ntar xvfz node_exporter-*.tar.gz\r\ncd node_exporter-*\r\n\r\n# Step 2: Start the exporter\r\n./node_exporter &\r\n\r\n# Step 3: Access metrics\r\nhttp://3000:9100/metrics\r\n\r\n# Step 4: Add this target in Prometheus config:\r\n# prometheus.yml\r\nscrape_configs:\r\n  - 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from: 2024-10-28\r\n    store: tsdb\r\n    object_store: filesystem\r\n    schema: v13\r\n    index:\r\n      prefix: index_\r\n      period: 24h\r\n\r\nstorage_config:\r\n  filesystem:\r\n    directory: /var/loki/chunks\r\n\r\nlimits_config:\r\n   reject_old_samples: true\r\n   reject_old_samples_max_age: 168h\r\n   retention_period: 360h\r\n   max_query_series: 100000\r\n   max_query_parallelism: 24\r\n   split_queries_by_interval: 15m\r\n# default\r\n   per_stream_rate_limit: \"3MB\"\r\n   per_stream_rate_limit_burst: \"15MB\"","collectorType":"Beats","collectorConfig":"/etc/promtail/config.yml\r\n\r\nserver:\r\n  http_listen_port: 9080\r\n  grpc_listen_port: 0\r\npositions:\r\n  filename: /tmp/positions.yaml\r\nclients:\r\n  - url: http://localhost:3100/loki/api/v1/push\r\nscrape_configs:\r\n\r\n# Modsecurity Log\r\n\r\n  - job_name: modsec\r\n    pipeline_stages:\r\n         - tenant:\r\n             value: sysmid-sensitive\r\n         - json:\r\n             expressions:\r\n               request:\r\n             source: transaction\r\n         - json:\r\n             expressions:\r\n               headers:\r\n             source: request\r\n         - json:\r\n             expressions:\r\n               Host:\r\n             source: headers\r\n         - labels:\r\n             Host: Host\r\n    static_configs:\r\n      - targets:\r\n        - localhost\r\n        labels:\r\n          job: modsec\r\n          __path__: /var/log/httpd/modsec_audit.log\r\n\r\n","collectorPluginList":"Other","datasource":"Loki","privacy":"public","createdAt":"2024-11-06T13:38:13.000Z","updatedAt":"2024-11-07T21:03:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22221"},{"rel":"revisions","href":"/dashboards/22221/revisions"},{"rel":"revision","href":"/dashboards/22221/revisions/1"},{"rel":"download","href":"/dashboards/22221/revisions/1/download"},{"rel":"org","href":"/orgs/elhackernet"},{"rel":"images","href":"/dashboards/22221/images"},{"rel":"thumbnails","href":"/dashboards/22221/thumbnails"}],"datasourceSlugs":["loki"]},{"id":24743,"status":1,"statusCode":"active","orgId":1364005,"orgSlug":"formannet","orgName":"formannet","slug":"moen-flo-water-via-home-assistant","downloads":10,"revisionId":39671,"revision":1,"name":"Moen Flo Water (via Home Assistant)","description":"display water flow values through Moen Flo water sensor","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-01-26T22:57:26.000Z","updatedAt":"2026-01-26T22:57:38.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24743"},{"rel":"revisions","href":"/dashboards/24743/revisions"},{"rel":"revision","href":"/dashboards/24743/revisions/1"},{"rel":"download","href":"/dashboards/24743/revisions/1/download"},{"rel":"org","href":"/orgs/formannet"},{"rel":"images","href":"/dashboards/24743/images"},{"rel":"thumbnails","href":"/dashboards/24743/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7404,"status":1,"statusCode":"active","orgId":156809,"orgSlug":"gabrielsagnard","orgName":"gabriel sagnard","slug":"mon-site","downloads":405,"revisionId":10080,"revision":2,"name":"Mon site","description":"","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-08-07T08:39:54.000Z","updatedAt":"2018-08-08T11:54:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7404"},{"rel":"revisions","href":"/dashboards/7404/revisions"},{"rel":"revision","href":"/dashboards/7404/revisions/2"},{"rel":"download","href":"/dashboards/7404/revisions/2/download"},{"rel":"org","href":"/orgs/gabrielsagnard"},{"rel":"images","href":"/dashboards/7404/images"},{"rel":"thumbnails","href":"/dashboards/7404/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8339,"status":1,"statusCode":"active","orgId":199871,"orgSlug":"luke123","orgName":"luke123","slug":"mongodb","downloads":3596,"revisionId":11447,"revision":1,"name":"Mongo","description":"MongoDB dashboard based on graphite data-source and telegraf collector. Focused on replica set.\n\n\nCredit to https://grafana.com/orgs/saada who dashboard was the starting guide to this but using a different datasource: https://grafana.com/dashboards/2583","readme":"See collector config for how to map the mongo replica set member states used in single stat panel.\n\nhttps://docs.mongodb.com/manual/reference/replica-states/","collectorType":"Telegraf","collectorConfig":"(note, there is an official Grafana Labs MongoDB plugin listed here:\nhttps://grafana.com/grafana/plugins/grafana-mongodb-datasource)\n\nUsed some processor plugins to convert \"state (string)\" input from the mongodb plugin to int values as string not supported by our whisper DB, this was needed to show the single stat panel replica state.\n\nRegex plugin map string value to int: https://github.com/influxdata/telegraf/tree/master/plugins/processors/regex\n\nThen converter to change data type: https://github.com/influxdata/telegraf/tree/master/plugins/processors/converter\n\nMongodb plugin: https://github.com/influxdata/telegraf/tree/master/plugins/inputs/mongodb\n\nSystem plugin: https://github.com/influxdata/telegraf/tree/master/plugins/inputs/system\n\nDiskIO plugin: https://github.com/influxdata/telegraf/tree/master/plugins/inputs/diskio\n\nMem plugin: https://github.com/influxdata/telegraf/tree/master/plugins/inputs/mem","collectorPluginList":"mongodb","datasource":"Graphite","privacy":"public","createdAt":"2018-10-12T16:40:49.000Z","updatedAt":"2020-11-04T23:38:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/8339"},{"rel":"revisions","href":"/dashboards/8339/revisions"},{"rel":"revision","href":"/dashboards/8339/revisions/1"},{"rel":"download","href":"/dashboards/8339/revisions/1/download"},{"rel":"org","href":"/orgs/luke123"},{"rel":"images","href":"/dashboards/8339/images"},{"rel":"thumbnails","href":"/dashboards/8339/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":11281,"status":1,"statusCode":"active","orgId":316349,"orgSlug":"cretbogdan","orgName":"cretbogdan","slug":"mongo","downloads":393,"revisionId":15765,"revision":1,"name":"Mongo","description":"MongoDB dashboard based on graphite data-source and telegraf collector. Focused on replica set.\n\n\nCredit to https://grafana.com/orgs/saada who dashboard was the starting guide to this but using a different datasource: https://grafana.com/dashboards/2583","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2019-11-26T12:21:27.000Z","updatedAt":"2019-11-26T12:21:38.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11281"},{"rel":"revisions","href":"/dashboards/11281/revisions"},{"rel":"revision","href":"/dashboards/11281/revisions/1"},{"rel":"download","href":"/dashboards/11281/revisions/1/download"},{"rel":"org","href":"/orgs/cretbogdan"},{"rel":"images","href":"/dashboards/11281/images"},{"rel":"thumbnails","href":"/dashboards/11281/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":12556,"status":1,"statusCode":"active","orgId":383613,"orgSlug":"opstreedevops","orgName":"opstreedevops","slug":"mongo-db","downloads":1922,"revisionId":18043,"revision":1,"name":"Mongo DB","description":"A Mongodb Replication Performance Monitoring with Prometheus and telegraf agent","readme":"# Mongodb Dashboard\r\n\r\nMongodb Dashboard Visualization uses  <img src=\"./images/logo_telegraf.png\" width=\"60\">  as an exporter. This dashboard will work Effeciently if replication is enabled in MongoDB Cluster.\r\n\r\n#### These Dashboards need ```mongodb``` as Telegraf Input Plugins, You can find the Mongodb Input Plugin Configuration below\r\n```toml\r\n[[inputs.mongodb]]\r\n  ## An array of URLs of the form:\r\n  ##   \"mongodb://\" [user \":\" pass \"@\"] host [ \":\" port]\r\n  ## For example:\r\n  ##   mongodb://user:auth_key@10.10.3.30:27017,\r\n  ##   mongodb://10.10.3.33:18832,\r\n  servers = [\"mongodb://127.0.0.1:27017\"]\r\n```\r\n\r\n## Purpose of Each Panel Used in Dashboard\r\n\r\nHere you will see these information in dashboards\r\n\r\n- Current Master from Mongo replica Set\r\n- Total Replication count\r\n- Memory used by node\r\n- MongoDb Uptime\r\n- Master CPU Utilization\r\n- CPU Utilization in each node\r\n- Total operations (read,write,update,delete)\r\n- Total Read operations\r\n- Total Write operations\r\n- Total Update operations\r\n- Total Delete operations\r\n\r\n## Contributor Information\r\n**devendra.pokhariya@opstree.com**","collectorType":"Telegraf","collectorConfig":"","collectorPluginList":"mongodb","datasource":"Prometheus","privacy":"public","createdAt":"2020-06-30T17:19:18.000Z","updatedAt":"2022-06-03T12:44:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12556"},{"rel":"revisions","href":"/dashboards/12556/revisions"},{"rel":"revision","href":"/dashboards/12556/revisions/1"},{"rel":"download","href":"/dashboards/12556/revisions/1/download"},{"rel":"org","href":"/orgs/opstreedevops"},{"rel":"images","href":"/dashboards/12556/images"},{"rel":"thumbnails","href":"/dashboards/12556/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17345,"status":1,"statusCode":"active","orgId":362035,"orgSlug":"skava","orgName":"Infosys Limited","slug":"mongo-db","downloads":751,"revisionId":26654,"revision":1,"name":"Mongo DB","description":"A Mongodb Replication Performance Monitoring with 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creating a dashboard for slow queries.","readme":"Slow query logs enable in Mongodb\r\n\r\n```\r\n// per database\r\nuse db_name\r\ndb.getProfilingStatus();\r\ndb.setProfilingLevel(2, { slowms: 100 });\r\n```\r\n\r\n\r\nLogstash Configuration\r\n\r\nReplace the password value with the Elasticsearch password.\r\n\r\n```\r\ninput {\r\n  beats {\r\n    port => 5044\r\n  }\r\n}\r\n\r\nfilter {\r\n  if [log_type] == \"mongo\" {\r\n    json {\r\n      source => \"message\"\r\n    }\r\n\r\n    if [msg] == \"Slow query\" {\r\n      mutate {\r\n        add_field => {\r\n          \"timestamp\" => \"%{[t][$date]}\"\r\n          \"command\" => \"%{[c]}\"\r\n          \"namespace\" => \"%{[attr][ns]}\"\r\n          \"durationMillis\" => \"%{[attr][durationMillis]}\"\r\n          \"query\" => \"%{[attr][command]}\"\r\n        }\r\n        remove_field => [\"t\", \"attr\", \"host\", \"tags\", \"agent\", \"ecs\", \"log\", \"input\", \"stream\"]\r\n      }\r\n    } else {\r\n      drop { }\r\n     }\r\n  }\r\n}\r\n\r\noutput {\r\n    if [log_type] == \"mongo\" {\r\n      elasticsearch {\r\n        hosts => [\"http://es:9200\"]\r\n        user => \"elastic\"\r\n        password => \"Password\"\r\n        index => \"mongo-logs\"\r\n      }\r\n    } \r\n    else {\r\n      elasticsearch {\r\n        hosts => [\"http://es:9200\"]\r\n        user => \"elastic\"\r\n        password => \"Password\"\r\n        index => \"other-logs\"\r\n      }\r\n    }\r\n  }\r\n\r\n```\r\n\r\nFilebeat Configuration\r\n\r\nReplace the LOGSTASH_IP value with the Logstash server IP.\r\n\r\n```\r\nfilebeat.inputs:\r\n  - type: log\r\n    enabled: true\r\n    paths:\r\n      - /var/log/mongodb/*.log\r\n    fields:\r\n      log_type: mongo\r\n    fields_under_root: true\r\n\r\noutput.logstash:\r\n  hosts: [\"LOGSTASH_IP:5044\"]\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2024-07-09T05:42:14.000Z","updatedAt":"2024-07-09T12:11:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21479"},{"rel":"revisions","href":"/dashboards/21479/revisions"},{"rel":"revision","href":"/dashboards/21479/revisions/3"},{"rel":"download","href":"/dashboards/21479/revisions/3/download"},{"rel":"org","href":"/orgs/anshultaak2"},{"rel":"images","href":"/dashboards/21479/images"},{"rel":"thumbnails","href":"/dashboards/21479/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":2583,"status":1,"statusCode":"active","orgId":71073,"orgSlug":"saada","orgName":"saada","slug":"mongodb","downloads":27884632,"revisionId":4050,"revision":2,"name":"MongoDB","description":"Note for a official Grafana MongoDB plugin, please 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cpu.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-07-05T20:36:22.000Z","updatedAt":"2020-11-04T23:37:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":3.67,"links":[{"rel":"self","href":"/dashboards/2583"},{"rel":"revisions","href":"/dashboards/2583/revisions"},{"rel":"revision","href":"/dashboards/2583/revisions/2"},{"rel":"download","href":"/dashboards/2583/revisions/2/download"},{"rel":"org","href":"/orgs/saada"},{"rel":"images","href":"/dashboards/2583/images"},{"rel":"thumbnails","href":"/dashboards/2583/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12079,"status":1,"statusCode":"active","orgId":361167,"orgSlug":"stoyanmakedonski","orgName":"stoyanmakedonski","slug":"mongodb","downloads":20409076,"revisionId":17195,"revision":1,"name":"MongoDB","description":"MongoDB Prometheus Exporter Dashboard. 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--mongodb.uri=\"mongodb://${DBUSER}:${DBPASS}@${DBURL}/admin?ssl=false\"']\n  imagePullPolicy: Always\n  env:\n    - name: DBURL\n      value: \"localhost:27017\"\n    - name: DBUSER\n      value: \"metrics-user\"\n    - name: DBPASS\n      valueFrom:\n        secretKeyRef:\n          name: metrics-user\n          key: password\n  ports:\n  - name: metrics\n    containerPort: 9216\n    protocol: TCP\n  resources:\n    limits:\n      cpu: \"500m\"\n      memory: 800M\n    requests:\n      cpu: \"500m\"\n      memory: 500M\n  securityContext:\n    allowPrivilegeEscalation: false\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-09-12T04:53:03.000Z","updatedAt":"2021-09-13T20:13:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14997"},{"rel":"revisions","href":"/dashboards/14997/revisions"},{"rel":"revision","href":"/dashboards/14997/revisions/3"},{"rel":"download","href":"/dashboards/14997/revisions/3/download"},{"rel":"org","href":"/orgs/rafaelperoco"},{"rel":"images","href":"/dashboards/14997/images"},{"rel":"thumbnails","href":"/dashboards/14997/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12594,"status":1,"statusCode":"active","orgId":398648,"orgSlug":"aitorhh","orgName":"aitorhh","slug":"mongodb","downloads":6098,"revisionId":18104,"revision":1,"name":"MongoDB","description":"MongoDB Prometheus Exporter Dashboard. \r\nWorks well with 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**WiredTiger Internals** | Cache reads/writes, evictions, pages read/written, concurrent transactions | Storage engine deep-dive for performance tuning |\r\n| **Database Statistics** | Storage size bar gauge (per DB), Documents bar gauge (per DB), detail table with Total Size colour-coding | Capacity planning across databases |\r\n| **Replica Set** | RS member table (role, health, uptime, replication lag with threshold colouring) | Replica-set topology and lag monitoring |\r\n| **Slow Query Profiler** | Profiling level stat per database (colour-coded: OFF / SLOW OPS / ALL OPS), profiler level state-timeline history | Real-time visibility into MongoDB's built-in query profiler state |\r\n\r\n---\r\n\r\n### How metrics are collected\r\n\r\nMetrics are scraped by **[mongodb-exporter](https://github.com/gurjarchetan/mongodb-exporter)** — a Go binary that exposes a `/metrics` Prometheus endpoint (default port **9216**).\r\n\r\n**Collectors and their MongoDB sources:**\r\n\r\n| Collector | MongoDB command | Key metrics |\r\n|-----------|----------------|-------------|\r\n| `serverStatus` | `db.runCommand({serverStatus: 1})` | `mongodb_opcounters_*`, `mongodb_connections_*`, `mongodb_mem_*`, `mongodb_uptime_seconds`, `mongodb_up` |\r\n| `wiredTiger` | embedded in `serverStatus` | `mongodb_wiredtiger_cache_*`, `mongodb_wiredtiger_concurrent_transactions_*` |\r\n| `dbStats` | `db.runCommand({dbStats: 1})` per database | `mongodb_dbstats_storage_size_bytes`, `mongodb_dbstats_objects`, `mongodb_dbstats_data_size_bytes`, `mongodb_dbstats_indexes` |\r\n| `replSetGetStatus` | `db.adminCommand({replSetGetStatus: 1})` | `mongodb_replset_member_health`, `mongodb_replset_member_uptime_seconds`, `mongodb_replset_optime_lag_seconds` |\r\n| `opLatencies` | embedded in `serverStatus` | `mongodb_op_latencies_latency_total`, `mongodb_op_latencies_ops_total` |\r\n| `profile` | `db.runCommand({profile: -1})` per database | `mongodb_profiling_level` |\r\n\r\n**Quick start (Docker Compose — full stack):**\r\n\r\n```yaml\r\n# Spins up MongoDB 8.0 + Exporter + Prometheus + Grafana in one command\r\ngit clone https://github.com/gurjarchetan/mongodb-exporter\r\ncd mongodb-exporter\r\ndocker compose up -d\r\n# Grafana → http://localhost:3000 (admin / admin)\r\n```\r\n\r\n**Prometheus scrape config:**\r\n\r\n```yaml\r\nscrape_configs:\r\n  - job_name: mongodb\r\n    static_configs:\r\n      - targets: ['mongodb-exporter:9216']\r\n    scrape_interval: 15s\r\n```\r\n\r\n**Enabling the slow query profiler** (shows data in the Profiler row):\r\n\r\n```javascript\r\n// MongoDB shell — enable slow op logging (>0 ms)\r\nuse admin\r\ndb.adminCommand({ profile: 1, slowms: 0 })\r\n```\r\n\r\n---\r\n\r\n### Requirements\r\n\r\n- Prometheus (any modern version)\r\n- MongoDB 6.0, 7.0, or 8.0 (standalone or replica set)\r\n- [mongodb-exporter](https://github.com/gurjarchetan/mongodb-exporter) running and scraped by Prometheus\r\n\r\nThe datasource variable `DS_PROMETHEUS` maps to your Prometheus instance — set it when importing.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-27T06:07:37.000Z","updatedAt":"2026-04-30T21:47:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25227"},{"rel":"revisions","href":"/dashboards/25227/revisions"},{"rel":"revision","href":"/dashboards/25227/revisions/1"},{"rel":"download","href":"/dashboards/25227/revisions/1/download"},{"rel":"org","href":"/orgs/gurjarchetan"},{"rel":"images","href":"/dashboards/25227/images"},{"rel":"thumbnails","href":"/dashboards/25227/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19655,"status":1,"statusCode":"active","orgId":404125,"orgSlug":"pedrolossolli","orgName":"pedrolossolli","slug":"mongodb-atlas-hardware-metrics","downloads":2168,"revisionId":30167,"revision":1,"name":"MongoDB Atlas Hardware Metrics","description":"MongoDB 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","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-31T12:02:59.000Z","updatedAt":"2021-08-31T12:11:40.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14952"},{"rel":"revisions","href":"/dashboards/14952/revisions"},{"rel":"revision","href":"/dashboards/14952/revisions/1"},{"rel":"download","href":"/dashboards/14952/revisions/1/download"},{"rel":"org","href":"/orgs/tetianakravchenko"},{"rel":"images","href":"/dashboards/14952/images"},{"rel":"thumbnails","href":"/dashboards/14952/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13560,"status":1,"statusCode":"active","orgId":443172,"orgSlug":"italux","orgName":"Italo Santos","slug":"mongodb-atlas-overview","downloads":1646,"revisionId":19816,"revision":3,"name":"MongoDB Atlas Overview","description":"This dashboard allows you to fetch process, database, and disk logs from MongoDB Atlas API","readme":"# MongoDB Atlas Dashboard\nThis dashboard uses [Grafana MongoDB Atlas Logs Datasource](https://github.com/valiton/grafana-mongodb-atlas-datasource) and allows to fetch process, database, and disk logs from [MongoDB Atlas API](https://docs.atlas.mongodb.com/reference/api/monitoring-and-logs) in your Grafana dashboard. All metrics available on MongoDB Atlas API are listed on [Measurement Types](https://docs.opsmanager.mongodb.com/current/reference/api/measures/measurement-types/)\n\n# Importing\nSince datasource **[doesn't support](https://github.com/valiton/grafana-mongodb-atlas-datasource/issues/25)** Grafana's template variable, as an attempt to solve this I'm using input values on pre-import to be able to \"dynamic\" allow customization.\n\n**IMPORTANT**: This dashboard expects that cluster is a replica set with 3 nodes. If you have more replica sets or even less feel free to change the dashboard before import\n\n## Getting the information from MongoDB Atlas Cloud panel\nThere some information needed to build the dashboard that will need to get from the cloud panel to address the templating issue mentioned above. 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[\"mongodb://{{ MongoDBIP }}:27017\"]\r\n  gather_perdb_stats = false","collectorPluginList":"jolokia, docker, mongodb, apache, system, redis","datasource":"InfluxDB","privacy":"public","createdAt":"2018-01-29T13:23:39.000Z","updatedAt":"2018-01-31T11:01:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4503"},{"rel":"revisions","href":"/dashboards/4503/revisions"},{"rel":"revision","href":"/dashboards/4503/revisions/1"},{"rel":"download","href":"/dashboards/4503/revisions/1/download"},{"rel":"org","href":"/orgs/hcl"},{"rel":"images","href":"/dashboards/4503/images"},{"rel":"thumbnails","href":"/dashboards/4503/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9676,"status":1,"statusCode":"active","orgId":218569,"orgSlug":"mzabala","orgName":"Martín Zabala","slug":"linux-njmon","downloads":783,"revisionId":13434,"revision":1,"name":"Monitoring Linux with  NJMON","description":"Panel de Control y monitoreo para multiples host","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-01-15T21:31:28.000Z","updatedAt":"2019-01-15T21:33:47.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9676"},{"rel":"revisions","href":"/dashboards/9676/revisions"},{"rel":"revision","href":"/dashboards/9676/revisions/1"},{"rel":"download","href":"/dashboards/9676/revisions/1/download"},{"rel":"org","href":"/orgs/mzabala"},{"rel":"images","href":"/dashboards/9676/images"},{"rel":"thumbnails","href":"/dashboards/9676/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":4164,"status":1,"statusCode":"active","orgId":58546,"orgSlug":"evertonazevedo","orgName":"Everton Azevedo","slug":"vm-pgsql-box-a","downloads":10603,"revisionId":5622,"revision":1,"name":"Monitoring PostgreSQL Server, Postgres replication","description":"Dashboard que coleta as seguintes informações:\r\nOS: Linux \r\nMétrics: CPU, Memória, Disco, Swap, Processos, Load Averages, PostgreSQL, Postgres Replication","readme":"Dashboard que coleta as seguintes informações:\r\nOS: Linux \r\nMétrics: CPU, Memória, Disco, Swap, Processos, Load Averages, PostgreSQL, Postgres Replication","collectorType":"Telegraf","collectorConfig":"Segue abaixo a configuração no telegraf:\r\n\r\n###################################################################################\r\n## COLETANDO METRICAS GERAIS E DA REPLICAÇÃO NA BASE POSTGRES DO SERVIDOR MASTER ##\r\n###################################################################################\r\n\r\n[[inputs.postgresql]]\r\naddress = \"host=IP_SERVIDOR_MASTER dbname=postgres user=telegraf sslmode=disable\"\r\ndatabases = [\"postgres\"]\r\n\r\n\r\n[[inputs.postgresql_extensible]]\r\naddress = \"host=IP_SERVIDOR_MASTER dbname=postgres user=telegraf sslmode=disable\"\r\ndatabases = [\"postgres\"]\r\n\r\n\r\n[[inputs.postgresql_extensible.query]]\r\n     sqlquery=\"select count(1) as amount, state from pg_stat_activity where usename != 'telegraf' group by state\"\r\n     version=901\r\n     withdbname=false\r\n     tagvalue=\"state\"\r\n     measurement=\"pg_connections\"\r\n\r\n\r\n[[inputs.postgresql_extensible.query]]\r\n     sqlquery=\"SELECT schema_name, pg_size_pretty(sum(table_size)::bigint) as disk_space, ((sum(table_size)::bigint) / 1024) / 1024 as size_MB FROM (SELECT pg_catalog.pg_namespace.nspname as schema_name, pg_relation_size(pg_catalog.pg_class.oid) as table_size FROM   pg_catalog.pg_class JOIN pg_catalog.pg_namespace ON relnamespace = pg_catalog.pg_namespace.oid) t WHERE t.schema_name not in ('information_schema','pg_catalog','pg_toast') GROUP BY schema_name ORDER BY schema_name\"\r\n     version=901\r\n     withdbname=false\r\n     tagvalue=\"schema_name\"\r\n     measurement=\"pg_schemas_size\"\r\n\r\n[[inputs.postgresql_extensible.query]]\r\n     sqlquery=\"select pg_xlog_location_diff(sent_location, write_location)::integer as write_lag, pg_xlog_location_diff(sent_location, flush_location)::integer as flush_lag, pg_xlog_location_diff(sent_location, replay_location)::integer as replay_lag from pg_stat_replication;\"\r\n     version=901\r\n     withdbname=false\r\n     tagvalue=\"\"\r\n     measurement=\"pg_stat_replication\"\r\n\r\n\r\n#########################################################################\r\n## COLETANDO METRICAS DA REPLICAÇÃO NA BASE POSTGRES DO SERVIDOR SLAVE ##\r\n#########################################################################\r\n\r\n[[inputs.postgresql_extensible]]\r\naddress = \"host=IP_SERVIDOR_SLAVE  dbname=postgres user=telegraf sslmode=disable\"\r\ndatabases = [\"postgres\"]\r\n\r\n\r\n[[inputs.postgresql_extensible.query]]\r\n     sqlquery=\"select case when pg_is_in_recovery() is true then 1 else 0 end as is_in_recovery;\"\r\n     version=901\r\n     withdbname=false\r\n     tagvalue=\"\"\r\n     measurement=\"pg_is_in_recovery\"\r\n\r\n\r\n[[inputs.postgresql_extensible.query]]\r\n     sqlquery=\"SELECT CASE WHEN pg_last_xlog_receive_location() = pg_last_xlog_replay_location() THEN 0 ELSE EXTRACT (EPOCH FROM now() - pg_last_xact_replay_timestamp()) END AS log_delay;\"\r\n     version=901\r\n     withdbname=false\r\n     tagvalue=\"\"\r\n     measurement=\"pg_log_delay\"\r\n\t ","collectorPluginList":null,"datasource":"InfluxDB, PostgreSQL","privacy":"public","createdAt":"2017-12-28T16:15:54.000Z","updatedAt":"2018-02-13T15:51:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/4164"},{"rel":"revisions","href":"/dashboards/4164/revisions"},{"rel":"revision","href":"/dashboards/4164/revisions/1"},{"rel":"download","href":"/dashboards/4164/revisions/1/download"},{"rel":"org","href":"/orgs/evertonazevedo"},{"rel":"images","href":"/dashboards/4164/images"},{"rel":"thumbnails","href":"/dashboards/4164/thumbnails"}],"datasourceSlugs":["influxdb","postgres"]},{"id":4500,"status":1,"statusCode":"active","orgId":117081,"orgSlug":"mevi97","orgName":"mevi97","slug":"monitoring-postgresql-server-postgres-replication","downloads":899,"revisionId":6039,"revision":1,"name":"Monitoring PostgreSQL Server, Postgres replication","description":"Dashboard que coleta as seguintes informações:\r\nOS: Linux \r\nMétrics: CPU, Memória, Disco, Swap, Processos, Load Averages, PostgreSQL, Postgres Replication","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB, PostgreSQL","privacy":"public","createdAt":"2018-01-29T12:14:15.000Z","updatedAt":"2018-02-13T15:51:26.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4500"},{"rel":"revisions","href":"/dashboards/4500/revisions"},{"rel":"revision","href":"/dashboards/4500/revisions/1"},{"rel":"download","href":"/dashboards/4500/revisions/1/download"},{"rel":"org","href":"/orgs/mevi97"},{"rel":"images","href":"/dashboards/4500/images"},{"rel":"thumbnails","href":"/dashboards/4500/thumbnails"}],"datasourceSlugs":["influxdb","postgres"]},{"id":7506,"status":1,"statusCode":"active","orgId":178460,"orgSlug":"abcd5544","orgName":"abcd5544","slug":"monitoring-postgresql-server-postgres-replication","downloads":970,"revisionId":10194,"revision":1,"name":"Monitoring PostgreSQL Server, Postgres replication","description":"Dashboard que coleta as seguintes informações:\r\nOS: Linux \r\nMétrics: CPU, Memória, Disco, Swap, Processos, Load Averages, PostgreSQL, Postgres Replication","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"cpu, diskstats, filesystem, loadavg","datasource":"InfluxDB, PostgreSQL","privacy":"public","createdAt":"2018-08-12T14:46:22.000Z","updatedAt":"2018-08-12T14:50:13.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/7506"},{"rel":"revisions","href":"/dashboards/7506/revisions"},{"rel":"revision","href":"/dashboards/7506/revisions/1"},{"rel":"download","href":"/dashboards/7506/revisions/1/download"},{"rel":"org","href":"/orgs/abcd5544"},{"rel":"images","href":"/dashboards/7506/images"},{"rel":"thumbnails","href":"/dashboards/7506/thumbnails"}],"datasourceSlugs":["influxdb","postgres"]},{"id":10595,"status":1,"statusCode":"active","orgId":181410,"orgSlug":"testabcd","orgName":"testabcd","slug":"monitoring-postgresql-server-postgres-replication","downloads":475,"revisionId":14804,"revision":1,"name":"Monitoring PostgreSQL Server, Postgres replication","description":"Dashboard que coleta as seguintes informações:\r\nOS: Linux \r\nMétrics: CPU, Memória, Disco, Swap, Processos, Load Averages, PostgreSQL, Postgres Replication","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB, PostgreSQL","privacy":"public","createdAt":"2019-07-23T11:12:25.000Z","updatedAt":"2019-07-23T11:13:13.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10595"},{"rel":"revisions","href":"/dashboards/10595/revisions"},{"rel":"revision","href":"/dashboards/10595/revisions/1"},{"rel":"download","href":"/dashboards/10595/revisions/1/download"},{"rel":"org","href":"/orgs/testabcd"},{"rel":"images","href":"/dashboards/10595/images"},{"rel":"thumbnails","href":"/dashboards/10595/thumbnails"}],"datasourceSlugs":["influxdb","postgres"]},{"id":12376,"status":1,"statusCode":"active","orgId":61457,"orgSlug":"tranguet","orgName":"Huyen Trang","slug":"monitoring-vms-via-libvirt-v2","downloads":820,"revisionId":17724,"revision":1,"name":"Monitoring VMs on OpenStack","description":"Monitoring VMs on OpenStack or KVM via Libvirt","readme":"This same [https://grafana.com/grafana/dashboards/12294](https://grafana.com/grafana/dashboards/12294)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2020-05-29T03:45:18.000Z","updatedAt":"2020-05-29T03:47:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12376"},{"rel":"revisions","href":"/dashboards/12376/revisions"},{"rel":"revision","href":"/dashboards/12376/revisions/1"},{"rel":"download","href":"/dashboards/12376/revisions/1/download"},{"rel":"org","href":"/orgs/tranguet"},{"rel":"images","href":"/dashboards/12376/images"},{"rel":"thumbnails","href":"/dashboards/12376/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":12294,"status":1,"statusCode":"active","orgId":61457,"orgSlug":"tranguet","orgName":"Huyen Trang","slug":"monitoring-vms-via-libvirt","downloads":862,"revisionId":17561,"revision":1,"name":"Monitoring VMs on OpenStack (or KVM) using Graphite + Collectd","description":"Collect metric of instances via Libvirt on all Compute node","readme":"Install Collectd on all Compute node (or KVM node) or any node that installed Libvirt to collect the metrics (ram, cpu, iops,..) of VMs, then push to a Graphite server.\r\n\r\nWorkflow: Collectd -> Graphite -> Grafana","collectorType":"collectd","collectorConfig":"Install on CentOS 7\r\n\r\n```\r\nyum install epel-release -y \r\nyum install collectd -y \r\nyum install collectd-virt.x86_64 -y\r\n```\r\n\r\nExample /etc/collectd.conf file\r\n\r\n```\r\nHostname    \"compute01\"\r\nFQDNLookup   false\r\n\r\nLoadPlugin write_graphite\r\nLoadPlugin unixsock\r\nLoadPlugin virt\r\nInterval 120\r\n\r\n<Plugin unixsock>\r\n    SocketFile \"/var/run/collectd-unixsock\"\r\n    SocketGroup \"collectd\"\r\n    SocketPerms \"0770\"\r\n    DeleteSocket false\r\n</Plugin>\r\n\r\n<Plugin \"virt\">\r\n   RefreshInterval 120\r\n   Connection \"qemu:///system\"\r\n   BlockDeviceFormat \"target\"\r\n   HostnameFormat \"uuid\"\r\n   InterfaceFormat \"address\"\r\n   PluginInstanceFormat name\r\n   ExtraStats \"cpu_util disk_err domain_state job_stats_background perf vcpupin\"\r\n</Plugin>\r\n\r\n<Plugin write_graphite>\r\n  <Node \"graphite\">\r\n    Host \"<ip_graphite>\"\r\n    Port \"2003\"\r\n    Protocol \"tcp\"\r\n    LogSendErrors true\r\n    Prefix \"collectd.compute01.\"\r\n    #Postfix \"collectd\"\r\n    StoreRates true\r\n    AlwaysAppendDS false\r\n    EscapeCharacter \"_\"\r\n  </Node>\r\n</Plugin>\r\n```\r\n\r\nStart service\r\n\r\n```\r\nsystemctl restart collectd\r\n```\r\n","collectorPluginList":"virt plugin, Write Graphite plugin, UnixSock plugin","datasource":"Graphite","privacy":"public","createdAt":"2020-05-14T08:01:55.000Z","updatedAt":"2024-05-28T01:36:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12294"},{"rel":"revisions","href":"/dashboards/12294/revisions"},{"rel":"revision","href":"/dashboards/12294/revisions/1"},{"rel":"download","href":"/dashboards/12294/revisions/1/download"},{"rel":"org","href":"/orgs/tranguet"},{"rel":"images","href":"/dashboards/12294/images"},{"rel":"thumbnails","href":"/dashboards/12294/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":12095,"status":1,"statusCode":"active","orgId":372776,"orgSlug":"pawadski","orgName":"pawadski","slug":"general-overview","downloads":426,"revisionId":18237,"revision":2,"name":"monitoring_exporter: General Overview","description":"General server metrics view: CPU, Memory, Network, Disk usage","readme":"Shows metrics from the bash-based monitoring exporter: https://github.com/pawadski/monitoring_exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-19T11:44:24.000Z","updatedAt":"2020-07-20T10:34:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12095"},{"rel":"revisions","href":"/dashboards/12095/revisions"},{"rel":"revision","href":"/dashboards/12095/revisions/2"},{"rel":"download","href":"/dashboards/12095/revisions/2/download"},{"rel":"org","href":"/orgs/pawadski"},{"rel":"images","href":"/dashboards/12095/images"},{"rel":"thumbnails","href":"/dashboards/12095/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15131,"status":1,"statusCode":"active","orgId":538956,"orgSlug":"bjv","orgName":"bjv","slug":"monster-workloads","downloads":387,"revisionId":22667,"revision":1,"name":"Monster workloads","description":"Shows the 20 largest containers running in your Kubernetes cluster, by maximum CPU usage and memory usage over the last 2 days","readme":"This dashboard relies on recording rules defined in kube-prometheus to show the most resource-intensive containers in the cluster","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-10-19T12:42:16.000Z","updatedAt":"2021-10-19T13:03:25.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15131"},{"rel":"revisions","href":"/dashboards/15131/revisions"},{"rel":"revision","href":"/dashboards/15131/revisions/1"},{"rel":"download","href":"/dashboards/15131/revisions/1/download"},{"rel":"org","href":"/orgs/bjv"},{"rel":"images","href":"/dashboards/15131/images"},{"rel":"thumbnails","href":"/dashboards/15131/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12418,"status":1,"statusCode":"active","orgId":389970,"orgSlug":"pinkilla","orgName":"Pierre BT","slug":"moodle-with-postgres","downloads":1082,"revisionId":17805,"revision":2,"name":"Moodle with postgres","description":"Dashboard for moodle with postgresql. \r\n\r\n- system overview\r\n- apache overview\r\n- postgresl ovelview\r\n- number of moodle users","readme":"Dashboard for `telegraf`, `influxDB` and `Graana`\r\n\r\nInputs for telegraf : \r\n\r\n```\r\n[[inputs.cpu]]\r\n[[inputs.disk]]\r\n[[inputs.diskio]]\r\n[[inputs.kernel]]\r\n[[inputs.mem]]\r\n[[inputs.processes]]\r\n[[inputs.swap]]\r\n[[inputs.system]]\r\n[[inputs.exec]]\r\n[[inputs.apache]]\r\n[[inputs.postgresql]]\r\n\r\n```","collectorType":"Telegraf","collectorConfig":"Add a script to take number of moodle users like this : \r\n\r\n```\r\n#!/bin/bash\r\n\r\ntimestamp_now=`date --utc +\"%s\"`\r\ntimestamp_start=$(($timestamp_now - 60))\r\n\r\nQUERY=\"SELECT COUNT(*) \r\n    FROM mdl_user \r\n    WHERE deleted=0 AND lastaccess > \"$timestamp_start\" AND lastaccess < \"$timestamp_now\" ;\"\r\nRESULT=$(psql -d 'moodle' -c \"$QUERY\" 2>/dev/null)\r\nRESULT_CUT=$(echo $RESULT | cut -d ' ' -f 3)\r\necho \"nUsersMoodle, nUsersMoodle=$RESULT_CUT\" \r\n```\r\n\r\n- user `telegraf` mus thave read access to database\r\n\r\n","collectorPluginList":"exec, disque, postgresql, apache, system","datasource":"InfluxDB","privacy":"public","createdAt":"2020-06-07T08:18:16.000Z","updatedAt":"2020-06-08T09:14:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12418"},{"rel":"revisions","href":"/dashboards/12418/revisions"},{"rel":"revision","href":"/dashboards/12418/revisions/2"},{"rel":"download","href":"/dashboards/12418/revisions/2/download"},{"rel":"org","href":"/orgs/pinkilla"},{"rel":"images","href":"/dashboards/12418/images"},{"rel":"thumbnails","href":"/dashboards/12418/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12264,"status":1,"statusCode":"active","orgId":380927,"orgSlug":"aerokube","orgName":"aerokube","slug":"moon","downloads":967,"revisionId":17505,"revision":2,"name":"Moon","description":"Browser consumption visualization per version","readme":"This is a very simplistic dashboard demonstrating how to visualize browser consumption in [Moon](https://aerokube.com/moon/) browser automation software.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-05-10T10:54:28.000Z","updatedAt":"2020-05-11T08:48:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12264"},{"rel":"revisions","href":"/dashboards/12264/revisions"},{"rel":"revision","href":"/dashboards/12264/revisions/2"},{"rel":"download","href":"/dashboards/12264/revisions/2/download"},{"rel":"org","href":"/orgs/aerokube"},{"rel":"images","href":"/dashboards/12264/images"},{"rel":"thumbnails","href":"/dashboards/12264/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16700,"status":1,"statusCode":"active","orgId":417484,"orgSlug":"leif160519","orgName":"leif160519","slug":"moosefs-overview","downloads":682,"revisionId":25584,"revision":1,"name":"Moosefs Overview","description":"Use the mfscli command to generate monitoring metrics that can be recognized by prometheus.","readme":"## Vision requirement\r\n- moosefs：3.0116\r\n\r\n## How to use\r\n### 1.Add the following to the node_exporter startup parameters\r\n```\r\n--collector.textfile.directory=/var/log/prometheus\r\n```\r\nreload node_exporter\r\n\r\n### 2.Prepare the mfscli2prom script\r\n- [mfscli2prom.awk](https://github.com/Leif160519/ansible-linux/blob/master/files/prometheus/exporter/mfscli2prom.awk)\r\n\r\n### 3.Run mfscli2prom.awk on moosefs master node(monit is recommended)\r\n```\r\ncheck program \"mfscli2prom\" with path \"/bin/sh -c '/usr/bin/mfscli -ns\"|\" -SIM -SMU -SIG -SCS -SIC -SSC -SQU | /opt/mfscli2prom.awk > /var/log/prometheus/mfscli.prom'\" with timeout 10 seconds\r\n        if status != 0 for 2 cycles then alert\r\n```\r\n\r\n```\r\n$:monit reload\r\n$:/etc/monit.d# monit summary mfscli2prom\r\nMonit 5.30.0 uptime: 39d 20h 24m\r\n┌─────────────────────────────────┬────────────────────────────┬───────────────┐\r\n│ Service Name                    │ Status                     │ Type          │\r\n├─────────────────────────────────┼────────────────────────────┼───────────────┤\r\n│ mfscli2prom                     │ OK                         │ Program       │\r\n└─────────────────────────────────┴────────────────────────────┴───────────────┘\r\n```\r\n\r\n### 4.Check for generated files under /var/log/prometheus/\r\n```\r\n/var/log/prometheus/mfscli.prom\r\n```\r\n\r\n### 5.Check whether moosefs metrics are generated in node_exporter\r\n```\r\n···\r\n# HELP moosefs_active_quotas_current_inodes Metric read from /var/log/prometheus/mfscli.prom\r\n# TYPE moosefs_active_quotas_current_inodes untyped\r\nmoosefs_active_quotas_current_inodes{path=\"mfs_path_1\"} 760242\r\nmoosefs_active_quotas_current_inodes{path=\"mfs_path_2\"} 295\r\nmoosefs_active_quotas_current_inodes{path=\"mfs_path_3\"} 761\r\n···\r\n```\r\n","collectorType":"nodeExporter","collectorConfig":"## Vision requirement\r\n- moosefs：3.0116\r\n\r\n## How to use\r\n### 1.Add the following to the node_exporter startup parameters\r\n```\r\n--collector.textfile.directory=/var/log/prometheus\r\n```\r\nreload node_exporter\r\n\r\n### 2.Prepare the mfscli2prom script\r\n- [mfscli2prom.awk](https://github.com/Leif160519/ansible-linux/blob/master/files/prometheus/exporter/mfscli2prom.awk)\r\n\r\n### 3.Run mfscli2prom.awk on moosefs master node(monit is recommended)\r\n```\r\ncheck program \"mfscli2prom\" with path \"/bin/sh -c '/usr/bin/mfscli -ns\"|\" -SIM -SMU -SIG -SCS -SIC -SSC -SQU | /opt/mfscli2prom.awk > /var/log/prometheus/mfscli.prom'\" with timeout 10 seconds\r\n        if status != 0 for 2 cycles then alert\r\n```\r\n\r\n```\r\n$:monit reload\r\n$:/etc/monit.d# monit summary mfscli2prom\r\nMonit 5.30.0 uptime: 39d 20h 24m\r\n┌─────────────────────────────────┬────────────────────────────┬───────────────┐\r\n│ Service Name                    │ Status                     │ Type          │\r\n├─────────────────────────────────┼────────────────────────────┼───────────────┤\r\n│ mfscli2prom                     │ OK                         │ Program       │\r\n└─────────────────────────────────┴────────────────────────────┴───────────────┘\r\n```\r\n\r\n### 4.Check for generated files under /var/log/prometheus/\r\n```\r\n/var/log/prometheus/mfscli.prom\r\n```\r\n\r\n### 5.Check whether moosefs metrics are generated in node_exporter\r\n```\r\n···\r\n# HELP moosefs_active_quotas_current_inodes Metric read from /var/log/prometheus/mfscli.prom\r\n# TYPE moosefs_active_quotas_current_inodes untyped\r\nmoosefs_active_quotas_current_inodes{path=\"mfs_path_1\"} 760242\r\nmoosefs_active_quotas_current_inodes{path=\"mfs_path_2\"} 295\r\nmoosefs_active_quotas_current_inodes{path=\"mfs_path_3\"} 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","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-09-08T08:04:32.000Z","updatedAt":"2020-09-15T08:49:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12969"},{"rel":"revisions","href":"/dashboards/12969/revisions"},{"rel":"revision","href":"/dashboards/12969/revisions/1"},{"rel":"download","href":"/dashboards/12969/revisions/1/download"},{"rel":"org","href":"/orgs/softwaremetrics"},{"rel":"images","href":"/dashboards/12969/images"},{"rel":"thumbnails","href":"/dashboards/12969/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10568,"status":1,"statusCode":"active","orgId":262102,"orgSlug":"f1cloud","orgName":"Verte Ltd","slug":"rabbitmq-monitoring","downloads":1147,"revisionId":14770,"revision":1,"name":"MQ Monitoring","description":"Rabbitmq stats and alerting using RabbitMQ Exporter (https://github.com/kbudde/rabbitmq_exporter)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-07-19T02:14:25.000Z","updatedAt":"2019-07-19T02:15:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10568"},{"rel":"revisions","href":"/dashboards/10568/revisions"},{"rel":"revision","href":"/dashboards/10568/revisions/1"},{"rel":"download","href":"/dashboards/10568/revisions/1/download"},{"rel":"org","href":"/orgs/f1cloud"},{"rel":"images","href":"/dashboards/10568/images"},{"rel":"thumbnails","href":"/dashboards/10568/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21381,"status":1,"statusCode":"active","orgId":1081792,"orgSlug":"luisaramos","orgName":"luisaramos","slug":"mqtt-remotatec","downloads":406,"revisionId":33278,"revision":1,"name":"MQTT REMOTATEC","description":"MQTT REMOTATEC","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"MQTT","privacy":"public","createdAt":"2024-06-20T19:35:24.000Z","updatedAt":"2024-06-20T19:44:14.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21381"},{"rel":"revisions","href":"/dashboards/21381/revisions"},{"rel":"revision","href":"/dashboards/21381/revisions/1"},{"rel":"download","href":"/dashboards/21381/revisions/1/download"},{"rel":"org","href":"/orgs/luisaramos"},{"rel":"images","href":"/dashboards/21381/images"},{"rel":"thumbnails","href":"/dashboards/21381/thumbnails"}],"datasourceSlugs":["grafana-mqtt-datasource"]},{"id":14186,"status":1,"statusCode":"active","orgId":201752,"orgSlug":"stefanknaak","orgName":"stefanknaak","slug":"mqtt-server","downloads":924,"revisionId":20848,"revision":1,"name":"MQTT Server $SYS Topics","description":"Dashboard for $SYS Topics ","readme":"\r\n# Zabbix 5.2 mosquitto $SYS Topic MQTT Template\r\n\r\n![](https://raw.githubusercontent.com/corgan2222/zbx_template_mqtt_server/main/images/grafana_dashbaord.png)\r\n\r\n## Features\r\n\r\n- 20 Zabbix Items\r\n- 1 Zabbix Trigger\r\n- 4 Zabbix Graphs\r\n- 1 Zabbix Dashboard\r\n- 1 Grafana Dashbaord\r\n\r\n## Zabbix Items\r\n\r\n- $SYS/broker/load/bytes/received: The total number of bytes received since the broker started.\r\n- $SYS/broker/load/bytes/sent: The total number of bytes sent since the broker started.\r\n- $SYS/broker/clients/connected: The number of currently connected clients\r\n- $SYS/broker/clients/disconnected: The total number of persistent clients (with clean session disabled) that are registered at the broker but are currently disconnected.\r\n- $SYS/broker/clients/maximum: The maximum number of active clients that have been connected to the broker. This is only calculated when the $SYS topic tree is updated, so short lived client connections may not be counted.\r\n- $SYS/broker/clients/total: The total number of connected and disconnected clients with a persistent session currently connected and registered on the broker.\r\n- $SYS/broker/messages/received: The total number of messages of any type received since the broker started.\r\n- $SYS/broker/messages/sent: The total number of messages of any type sent since the broker started.\r\n- $SYS/broker/messages/publish/dropped: The total number of publish messages that have been dropped due to inflight/queuing limits.\r\n- $SYS/broker/messages/publish/received: The total number of PUBLISH messages received since the broker started.\r\n- $SYS/broker/messages/publish/sent: The total number of PUBLISH messages sent since the broker started.\r\n- $SYS/broker/messages/retained/count: The total number of retained messages active on the broker.\r\n- $SYS/broker/subscriptions/count: The total number of subscriptions active on the broker.\r\n- $SYS/broker/time: The current time on the server.\r\n- $SYS/broker/uptime: The amount of time in seconds the broker has been online.\r\n- $SYS/broker/version: The version of the broker. Static.\r\n- $SYS/broker/messages/stored: The number of messages currently held in the message store. This includes retained messages and messages queued for durable clients.\r\n\r\nDownload Zabbix Template and installation Infos: \r\n\r\nhttps://github.com/corgan2222/zbx_template_mqtt_server","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource, InfluxDB","privacy":"public","createdAt":"2021-04-05T20:33:40.000Z","updatedAt":"2021-04-05T20:43:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14186"},{"rel":"revisions","href":"/dashboards/14186/revisions"},{"rel":"revision","href":"/dashboards/14186/revisions/1"},{"rel":"download","href":"/dashboards/14186/revisions/1/download"},{"rel":"org","href":"/orgs/stefanknaak"},{"rel":"images","href":"/dashboards/14186/images"},{"rel":"thumbnails","href":"/dashboards/14186/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource","influxdb"]},{"id":23158,"status":1,"statusCode":"active","orgId":193429,"orgSlug":"aerospike","orgName":"Aerospike","slug":"mrt-view","downloads":716,"revisionId":36633,"revision":1,"name":"MRT Overview","description":"This usecase dashboard helps to track Aerospike transaction metrics, including success rates, errors, and rollbacks.","readme":"Aerospike MRT Overview monitoring dashboard for [Aerospike Monitoring Stack](https://docs.aerospike.com/monitorstack)\r\n\r\nThis usecase dashboard displays key metrics MRT (multi record transaction) like rollback, roll-forward/commits, monitoring, provisionals etc.,\r\n\r\nSee [Aerospike Monitoring Stack Architecture](https://docs.aerospike.com/monitorstack/new/components-of-monitoring-stack) and [Aerospike Monitoring Stack Installation](https://docs.aerospike.com/monitorstack/new/installing-components) for more details\r\n\r\nSee [Aerospike Server Config](https://aerospike.com/docs/server/reference/configuration) and [Aerospike Server Metrics](https://aerospike.com/docs/reference/metrics) for more details","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-03-27T06:01:00.000Z","updatedAt":"2025-03-27T06:13:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23158"},{"rel":"revisions","href":"/dashboards/23158/revisions"},{"rel":"revision","href":"/dashboards/23158/revisions/1"},{"rel":"download","href":"/dashboards/23158/revisions/1/download"},{"rel":"org","href":"/orgs/aerospike"},{"rel":"images","href":"/dashboards/23158/images"},{"rel":"thumbnails","href":"/dashboards/23158/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11554,"status":1,"statusCode":"active","orgId":335759,"orgSlug":"bociankruk","orgName":"bociankruk","slug":"ms-sql-servers","downloads":3747,"revisionId":20301,"revision":4,"name":"MS SQL servers","description":"Dashboard for Microsoft SQL server with Prometheus and Telegraf SQL plugin version 2.","readme":"This is a dashboard for Microsoft SQL server with Prometheus and Telegraf SQL plugin version 2.\nIt displays global statistics and where is possible metrics per database.\nList:\n1. Global\n* CPU/Memory/SQL version/ Uptime\n* Database status (Offline, Online, Bad)\n* Global requests per sec/Buffer cache hit ratio\n2. Per database\n* Size\n* Transactions/IO stats\n","collectorType":"Telegraf","collectorConfig":"Example for telegraf deployment using Helm chart https://github.com/helm/charts/tree/master/stable/telegraf.\n```\nservice:\n  enabled: true\n  type: ClusterIP\n  annotations:\n    prometheus.io/scrape: \"true\"\n    prometheus.io/port: \"9210\"\n\nenv:\n  - name: HOSTNAME\n    value: \"telegraf-polling-service\"\n  - name: MSSQL_USER\n    valueFrom:\n      secretKeyRef:\n        key: mssql-user\n        name: mssql-creds\n  - name: MSSQL_PASSWORD\n    valueFrom:\n      secretKeyRef:\n        key: mssql-password\n        name: mssql-creds\nconfig:\n  agent:\n    interval: \"60s\"\n    round_interval: true\n    metric_batch_size: 1000\n    metric_buffer_limit: 10000\n    collection_jitter: \"0s\"\n    flush_interval: \"10s\"\n    flush_jitter: \"0s\"\n    precision: \"\"\n    debug: false\n    quiet: false\n    logfile: \"\"\n    hostname: \"$HOSTNAME\"\n    omit_hostname: false\n  outputs:\n    - prometheus_client:\n        listen: \":9210\"\n  inputs:\n    - sqlserver:\n        servers:\n          - \"Server=sqlserver-01;Port=1433;User Id=${MSSQL_USER};Password=${MSSQL_PASSWORD};app name=telegraf;\"\n        query_version: 2\n        exclude_query:\n          - Schedulers\n          - SqlRequests\n```","collectorPluginList":"sql server","datasource":"Prometheus","privacy":"public","createdAt":"2020-01-13T16:00:34.000Z","updatedAt":"2021-02-10T06:30:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/11554"},{"rel":"revisions","href":"/dashboards/11554/revisions"},{"rel":"revision","href":"/dashboards/11554/revisions/4"},{"rel":"download","href":"/dashboards/11554/revisions/4/download"},{"rel":"org","href":"/orgs/bociankruk"},{"rel":"images","href":"/dashboards/11554/images"},{"rel":"thumbnails","href":"/dashboards/11554/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11740,"status":1,"statusCode":"active","orgId":350493,"orgSlug":"olecram46","orgName":"Marcelo Suarez","slug":"ms-sql-servers","downloads":575,"revisionId":16623,"revision":1,"name":"MS SQL servers","description":"Dashboard for Microsoft SQL server with Prometheus and Telegraf SQL plugin version 2.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-02-17T20:33:45.000Z","updatedAt":"2020-02-17T21:31:01.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11740"},{"rel":"revisions","href":"/dashboards/11740/revisions"},{"rel":"revision","href":"/dashboards/11740/revisions/1"},{"rel":"download","href":"/dashboards/11740/revisions/1/download"},{"rel":"org","href":"/orgs/olecram46"},{"rel":"images","href":"/dashboards/11740/images"},{"rel":"thumbnails","href":"/dashboards/11740/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15986,"status":1,"statusCode":"active","orgId":622558,"orgSlug":"shinkleryan","orgName":"shinkleryan","slug":"msi-afterburner","downloads":300,"revisionId":24263,"revision":1,"name":"MSI","description":"Stats","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2022-03-28T08:53:03.000Z","updatedAt":"2022-03-28T08:54:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15986"},{"rel":"revisions","href":"/dashboards/15986/revisions"},{"rel":"revision","href":"/dashboards/15986/revisions/1"},{"rel":"download","href":"/dashboards/15986/revisions/1/download"},{"rel":"org","href":"/orgs/shinkleryan"},{"rel":"images","href":"/dashboards/15986/images"},{"rel":"thumbnails","href":"/dashboards/15986/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":12021,"status":1,"statusCode":"active","orgId":366562,"orgSlug":"banana999","orgName":"banana999","slug":"msi-afterburner","downloads":519,"revisionId":38344,"revision":3,"name":"MSI Afterburner","description":"Shows long term stats from MSI Afterburner from a data source.","readme":"# grAfterburner\r\nThis is a dashboard showing PC monitoring statistics such as FPS, CPU / GPU / Usage, Temperatures.\r\n\r\nData is collected from Telegraf and stored in Prometheus / VictoriaMetrics.\r\n\r\nFull details on [GitHub](https://github.com/RafhaanShah/grAfterburner)","collectorType":"Telegraf","collectorConfig":"[[inputs.http]]\r\n  name_override = \"msi_afterburner\"\r\n  urls = [\"http://192.168.1.123:82/mahm\"]\r\n  method = \"GET\"\r\n  username = \"MSIAfterburner\"\r\n  password = \"PASSWORD\"\r\n  data_format = \"xml\"\r\n  timeout = \"100ms\"\r\n\r\n  [[inputs.http.xpath]]\r\n    metric_selection = \"/HardwareMonitor/HardwareMonitorEntries\"\r\n\r\n    [inputs.http.xpath.fields]\r\n        framerate = \"number(HardwareMonitorEntry[srcName='Framerate']/data)\"\r\n        frametime = \"number(HardwareMonitorEntry[srcName='Frametime']/data)\"\r\n        cpu_usage = \"number(HardwareMonitorEntry[srcName='CPU usage']/data)\"\r\n        cpu_temp = \"number(HardwareMonitorEntry[srcName='CPU temperature']/data)\"\r\n        gpu_usage = \"number(HardwareMonitorEntry[srcName='GPU usage']/data)\"\r\n        gpu_temp = \"number(HardwareMonitorEntry[srcName='GPU temperature']/data)\"\r\n        cpu_clock = \"number(HardwareMonitorEntry[srcName='CPU clock']/data)\"\r\n        gpu_clock = \"number(HardwareMonitorEntry[srcName='Core clock']/data)\"\r\n        gpu_memory_clock = \"number(HardwareMonitorEntry[srcName='Memory clock']/data)\"\r\n        cpu_power = \"number(HardwareMonitorEntry[srcName='CPU power']/data)\"\r\n        gpu_power = \"number(HardwareMonitorEntry[srcName='Power']/data)\"\r\n        gpu_voltage = \"number(HardwareMonitorEntry[srcName='GPU voltage']/data)\"\r\n        ram = \"number(HardwareMonitorEntry[srcName='RAM usage']/data)\"\r\n        vram = \"number(HardwareMonitorEntry[srcName='Memory usage']/data)\"\r\n        fan_rpm = \"number(HardwareMonitorEntry[srcName='Fan tachometer']/data)\"\r\n        fan_speed = \"number(HardwareMonitorEntry[srcName='Fan speed']/data)\"\r\n        temp_limit = \"number(HardwareMonitorEntry[srcName='Temp limit']/data)\"\r\n        power_limit = \"number(HardwareMonitorEntry[srcName='Power limit']/data)\"\r\n        voltage_limit = \"number(HardwareMonitorEntry[srcName='Voltage limit']/data)\"\r\n        no_load_limit = \"number(HardwareMonitorEntry[srcName='No load limit']/data)\"\r\n\r\n[[outputs.influxdb_v2]]\r\n  urls = [\"http://grafterburner-victoriametrics:8428\"]\r\n  token = \"grafterburner-token\"\r\n  organization = \"grafterburner\"\r\n  bucket = \"grafterburner\"","collectorPluginList":"cURL-XML plugin, Write Graphite plugin","datasource":"Prometheus","privacy":"public","createdAt":"2020-04-03T22:10:08.000Z","updatedAt":"2025-09-08T20:40:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12021"},{"rel":"revisions","href":"/dashboards/12021/revisions"},{"rel":"revision","href":"/dashboards/12021/revisions/3"},{"rel":"download","href":"/dashboards/12021/revisions/3/download"},{"rel":"org","href":"/orgs/banana999"},{"rel":"images","href":"/dashboards/12021/images"},{"rel":"thumbnails","href":"/dashboards/12021/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12977,"status":1,"statusCode":"active","orgId":415494,"orgSlug":"crazyshawntv","orgName":"crazyshawntv","slug":"msi-afterburner","downloads":277,"revisionId":18768,"revision":1,"name":"MSI Afterburner","description":"Shows stats from MSI Afterburner","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2020-09-08T19:36:26.000Z","updatedAt":"2020-09-08T19:36:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12977"},{"rel":"revisions","href":"/dashboards/12977/revisions"},{"rel":"revision","href":"/dashboards/12977/revisions/1"},{"rel":"download","href":"/dashboards/12977/revisions/1/download"},{"rel":"org","href":"/orgs/crazyshawntv"},{"rel":"images","href":"/dashboards/12977/images"},{"rel":"thumbnails","href":"/dashboards/12977/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":13955,"status":1,"statusCode":"active","orgId":467504,"orgSlug":"monitoringdashbord","orgName":"Dashbord","slug":"msi-afterburner","downloads":277,"revisionId":20446,"revision":1,"name":"MSI Afterburner","description":"Shows stats from MSI Afterburner","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2021-02-24T08:57:27.000Z","updatedAt":"2021-02-24T08:58:25.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13955"},{"rel":"revisions","href":"/dashboards/13955/revisions"},{"rel":"revision","href":"/dashboards/13955/revisions/1"},{"rel":"download","href":"/dashboards/13955/revisions/1/download"},{"rel":"org","href":"/orgs/monitoringdashbord"},{"rel":"images","href":"/dashboards/13955/images"},{"rel":"thumbnails","href":"/dashboards/13955/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":24041,"status":1,"statusCode":"active","orgId":366562,"orgSlug":"banana999","orgName":"banana999","slug":"msi-afterburner-live","downloads":122,"revisionId":38343,"revision":1,"name":"MSI Afterburner Live","description":"Shows live stats from MSI Afterburner streamed to Grafana directly.","readme":"# grAfterburner\r\nThis is a dashboard showing PC monitoring statistics such as FPS, CPU / GPU / Usage, Temperatures.\r\n\r\nData is collected from Telegraf and streamed directly to Grafana.\r\n\r\nFull details on [GitHub](https://github.com/RafhaanShah/grAfterburner)","collectorType":"Telegraf","collectorConfig":"[[inputs.http]]\r\n  name_override = \"msi_afterburner\"\r\n  urls = [\"http://192.168.1.123:82/mahm\"]\r\n  method = \"GET\"\r\n  username = \"MSIAfterburner\"\r\n  password = \"PASSWORD\"\r\n  data_format = \"xml\"\r\n  timeout = \"100ms\"\r\n\r\n  [[inputs.http.xpath]]\r\n    metric_selection = \"/HardwareMonitor/HardwareMonitorEntries\"\r\n\r\n    [inputs.http.xpath.fields]\r\n        framerate = \"number(HardwareMonitorEntry[srcName='Framerate']/data)\"\r\n        frametime = \"number(HardwareMonitorEntry[srcName='Frametime']/data)\"\r\n        cpu_usage = \"number(HardwareMonitorEntry[srcName='CPU usage']/data)\"\r\n        cpu_temp = \"number(HardwareMonitorEntry[srcName='CPU temperature']/data)\"\r\n        gpu_usage = \"number(HardwareMonitorEntry[srcName='GPU usage']/data)\"\r\n        gpu_temp = \"number(HardwareMonitorEntry[srcName='GPU temperature']/data)\"\r\n        cpu_clock = \"number(HardwareMonitorEntry[srcName='CPU clock']/data)\"\r\n        gpu_clock = \"number(HardwareMonitorEntry[srcName='Core clock']/data)\"\r\n        gpu_memory_clock = \"number(HardwareMonitorEntry[srcName='Memory clock']/data)\"\r\n        cpu_power = \"number(HardwareMonitorEntry[srcName='CPU power']/data)\"\r\n        gpu_power = \"number(HardwareMonitorEntry[srcName='Power']/data)\"\r\n        gpu_voltage = \"number(HardwareMonitorEntry[srcName='GPU voltage']/data)\"\r\n        ram = \"number(HardwareMonitorEntry[srcName='RAM usage']/data)\"\r\n        vram = \"number(HardwareMonitorEntry[srcName='Memory usage']/data)\"\r\n        fan_rpm = \"number(HardwareMonitorEntry[srcName='Fan tachometer']/data)\"\r\n        fan_speed = \"number(HardwareMonitorEntry[srcName='Fan speed']/data)\"\r\n        temp_limit = \"number(HardwareMonitorEntry[srcName='Temp limit']/data)\"\r\n        power_limit = \"number(HardwareMonitorEntry[srcName='Power limit']/data)\"\r\n        voltage_limit = \"number(HardwareMonitorEntry[srcName='Voltage limit']/data)\"\r\n        no_load_limit = \"number(HardwareMonitorEntry[srcName='No load limit']/data)\"\r\n\r\n[[outputs.websocket]]\r\n  url = \"ws://grafana:3000/api/live/push/msi_afterburner\"\r\n  data_format = \"influx\"","collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2025-09-08T18:47:52.000Z","updatedAt":"2025-09-14T09:13:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24041"},{"rel":"revisions","href":"/dashboards/24041/revisions"},{"rel":"revision","href":"/dashboards/24041/revisions/1"},{"rel":"download","href":"/dashboards/24041/revisions/1/download"},{"rel":"org","href":"/orgs/banana999"},{"rel":"images","href":"/dashboards/24041/images"},{"rel":"thumbnails","href":"/dashboards/24041/thumbnails"}]},{"id":12978,"status":1,"statusCode":"active","orgId":415494,"orgSlug":"crazyshawntv","orgName":"crazyshawntv","slug":"msi-afterburner-rpi","downloads":286,"revisionId":18769,"revision":1,"name":"MSI Afterburner RPi","description":"Shows stats from MSI 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At the end, you will be able to see the following vLLM benchmark results and monitoring graphs from your Bare Metal server.\r\n\r\nThe graph below shows GPU load during a vLLM benchmark test for a few minutes, leading to a GPU load spike to 100%. Memory allocation is at 90% per vLLM config.\r\n\r\n## Prerequisites\r\n\r\n- Boot Bare Metal server into Sbnb Linux. Read more at [README-INSTALL.md](https://github.com/sbnb-io/sbnb/blob/main/README-INSTALL.md).\r\n- One or more Nvidia GPUs attached to the Bare Metal server\r\n- Laptop with [Tailscale](https://tailscale.com/) configured to access the bare metal server for configuration.\r\n\r\n\r\n## Howto\r\n\r\n### 1. Boot Bare Metal Server into Sbnb Linux\r\nBoot the Bare Metal server into Sbnb Linux using the instructions in [README-INSTALL.md](https://github.com/sbnb-io/sbnb/blob/main/README-INSTALL.md). After booting, verify that the server appears in your **Tailscale machine list**.\r\n\r\nFor more details on automatic hostname assignments, refer to [README-SERIAL-NUMBER.md](https://github.com/sbnb-io/sbnb/blob/main/README-SERIAL-NUMBER.md).\r\n\r\n### 2. Connect Your Laptop to Tailscale\r\nWe will use a MacBook in this tutorial, but any machine, such as a Linux instance, should work the same.\r\n\r\n### 3. Download Tailscale Dynamic Inventory Script\r\n```sh\r\ncurl https://raw.githubusercontent.com/m4wh6k/ansible-tailscale-inventory/refs/heads/main/ansible_tailscale_inventory.py -O\r\nchmod +x ansible_tailscale_inventory.py\r\n```\r\n\r\n### 4. Pull Sbnb Linux Repo with All Required Grafana Configs and Ansible Playbooks\r\n```sh\r\ngit clone https://github.com/sbnb-io/sbnb.git\r\ncd sbnb/automation/\r\n```\r\n\r\n### 5. Configure VM Settings\r\nOpen `sbnb-example-vm.json` file with an editor of your choice and configure the following parameters:\r\n```json\r\n{\r\n    \"vcpu\": 2,\r\n    \"mem\": \"4G\",\r\n    \"tskey\": \"your-tskey-auth\",\r\n    \"attach_gpus\": true,\r\n    \"image_size\": \"10G\"\r\n}\r\n```\r\nReplace `\"your-tskey-auth\"` with your actual Tailscale key.\r\n\r\n### 6. Start VM with Ansible Playbook\r\n```sh\r\nexport SBNB_HOSTS=sbnb-F6S0R8000719\r\n\r\nansible-playbook -i ./ansible_tailscale_inventory.py sbnb-start-vm.yaml\r\n```\r\n\r\nOnce the VM starts, you should see it appear in the Tailscale network as `sbnb-vm-VMID`. For example, `sbnb-vm-67f97659333f`.\r\n\r\nAll Nvidia GPUs present in the system will be attached to this VM using a low-overhead vfio-pci mechanism:\r\n\r\n\r\n### 7. Configure vLLM\r\n\r\nBy default, `run-vllm.yaml` has the following settings:\r\n\r\n```text\r\n--max-model-len 2048\r\n--gpu-memory-utilization 0.9\r\n--tensor-parallel-size 2\r\n--max-num-seqs 32\r\n--enforce-eager\r\n--model \"allenai/OLMo-1B-hf\"\r\n```\r\n\r\nWe’re setting tensor parallelization `--tensor-parallel-size 2` because we have 2 Nvidia GPU cards in the system. We also choose a small model `\"allenai/OLMo-1B-hf\"` to fit our limited GPU memory (12GB * 2 = 24GB) in this setup.\r\n\r\nPlease refer to the vLLM engine arguments for more details:  \r\nhttps://docs.vllm.ai/en/latest/serving/engine_args.html\r\n\r\n### 8. Start vLLM in the VM\r\n\r\nRun on the laptop:\r\n\r\n```bash\r\nexport SBNB_HOSTS=sbnb-vm-67f97659333f\r\n\r\nfor playbook in install-docker.yaml install-nvidia.yaml install-nvidia-container-toolkit.yaml run-vllm.yaml; do\r\n  ansible-playbook -i ./ansible_tailscale_inventory.py $playbook\r\ndone\r\n```\r\n\r\n> Note that this time we set `SBNB_HOSTS` to the hostname of the VM we started in the previous step.\r\n\r\nThese commands will install Docker, Nvidia drivers, Nvidia container toolkit, and vLLM into the VM.\r\n\r\n**Congratulations!** Now you have vLLM up and running.\r\n\r\n## Run vLLM Benchmark\r\n\r\nRun on the laptop:\r\n\r\n```bash\r\nansible-playbook -i ./ansible_tailscale_inventory.py run-vllm-benchmark.yaml\r\n```\r\n\r\n### Example Output of the Benchmark\r\n\r\n```text\r\n=========== Serving Benchmark Result ============\r\nSuccessful requests:                     10000\r\nBenchmark duration (s):                  1650.40\r\nTotal input tokens:                      10240000\r\nTotal generated tokens:                  1249339\r\nRequest throughput (req/s):              6.06\r\nOutput token throughput (tok/s):         756.99\r\nTotal Token throughput (tok/s):          6961.54\r\n---------------Time to First Token----------------\r\nMean TTFT (ms):                          823866.75\r\nMedian TTFT (ms):                        822703.42\r\nP99 TTFT (ms):                           1627880.13\r\n-----Time per Output Token (excl. 1st token)------\r\nMean TPOT (ms):                          41.80\r\nMedian TPOT (ms):                        41.25\r\nP99 TPOT (ms):                           64.80\r\n---------------Inter-token Latency----------------\r\nMean ITL (ms):                           41.37\r\nMedian ITL (ms):                         18.53\r\nP99 ITL (ms):                            179.15\r\n==================================================\r\n```\r\n\r\n## Display GPU Utilization in Grafana\r\n\r\nFollow this guide:  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MateusSouzaWeb","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-01-02T22:56:49.000Z","updatedAt":"2020-04-02T21:24:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11499"},{"rel":"revisions","href":"/dashboards/11499/revisions"},{"rel":"revision","href":"/dashboards/11499/revisions/2"},{"rel":"download","href":"/dashboards/11499/revisions/2/download"},{"rel":"org","href":"/orgs/mateussouzaweb"},{"rel":"images","href":"/dashboards/11499/images"},{"rel":"thumbnails","href":"/dashboards/11499/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20467,"status":1,"statusCode":"active","orgId":683761,"orgSlug":"proclane","orgName":"proclane","slug":"mysql","downloads":392,"revisionId":31621,"revision":1,"name":"MySQL","description":"MySQL","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-02-13T07:25:07.000Z","updatedAt":"2024-02-13T07:26:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20467"},{"rel":"revisions","href":"/dashboards/20467/revisions"},{"rel":"revision","href":"/dashboards/20467/revisions/1"},{"rel":"download","href":"/dashboards/20467/revisions/1/download"},{"rel":"org","href":"/orgs/proclane"},{"rel":"images","href":"/dashboards/20467/images"},{"rel":"thumbnails","href":"/dashboards/20467/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18948,"status":1,"statusCode":"active","orgId":872078,"orgSlug":"chandnichandani080","orgName":"chandnichandani080","slug":"mysql","downloads":566,"revisionId":29058,"revision":1,"name":"MySQL","description":"kuber data","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-06-11T01:48:29.000Z","updatedAt":"2023-06-11T02:04:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18948"},{"rel":"revisions","href":"/dashboards/18948/revisions"},{"rel":"revision","href":"/dashboards/18948/revisions/1"},{"rel":"download","href":"/dashboards/18948/revisions/1/download"},{"rel":"org","href":"/orgs/chandnichandani080"},{"rel":"images","href":"/dashboards/18948/images"},{"rel":"thumbnails","href":"/dashboards/18948/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18949,"status":1,"statusCode":"active","orgId":872078,"orgSlug":"chandnichandani080","orgName":"chandnichandani080","slug":"mysql","downloads":281,"revisionId":29059,"revision":1,"name":"MySQL","description":"Kuber launch","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-06-11T02:05:53.000Z","updatedAt":"2023-06-11T02:06:11.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18949"},{"rel":"revisions","href":"/dashboards/18949/revisions"},{"rel":"revision","href":"/dashboards/18949/revisions/1"},{"rel":"download","href":"/dashboards/18949/revisions/1/download"},{"rel":"org","href":"/orgs/chandnichandani080"},{"rel":"images","href":"/dashboards/18949/images"},{"rel":"thumbnails","href":"/dashboards/18949/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18861,"status":1,"statusCode":"active","orgId":225578,"orgSlug":"sobaka","orgName":"sobaka","slug":"mysql","downloads":365,"revisionId":28927,"revision":1,"name":"Mysql","description":"Dashboard for mysql server instance","readme":"Collect mysql, innodb and mysql-log metrics","collectorType":"collectd","collectorConfig":"```\r\nLoadPlugin mysql\r\n<Plugin mysql>\r\n        <Database \"{{ data.instance }}\">\r\n                Host \"{{ data.host }}\"\r\n                Alias \"{{ data.alias }}\"\r\n                Port \"{{ data.port }}\"\r\n                User \"{{ data.user }}\"\r\n                Password \"{{ data.passw }}\"\r\n                InnodbStats true\r\n                MasterStats true\r\n                SlaveStats true\r\n        </Database>\r\n</Plugin>\r\n\r\n<Plugin \"Tail\">\r\n  <File \"{{ collectd_mysql_log }}\">\r\n    Instance \"daemon\"\r\n     # crached tables\r\n     <Match>\r\n       Regex \" mysqld:.*\\\\[ERROR\\\\].* is marked as crashed and \"\r\n       DSType \"CounterInc\"\r\n       Type \"counter\"\r\n       Instance \"mysql__crashed_tables\"\r\n     </Match>\r\n     # mysql access denied\r\n     <Match>\r\n       Regex \" mysqld:.*\\\\[Warning\\\\] Access denied for user \"\r\n       DSType \"CounterInc\"\r\n       Type \"counter\"\r\n       Instance \"mysql__access_denied\"\r\n     </Match>\r\n     # mysql connection aborted\r\n     <Match>\r\n       Regex \" mysqld:.*\\\\[Warning\\\\] Aborted connection [0-9]+ to db:\"\r\n       DSType \"CounterInc\"\r\n       Type \"counter\"\r\n       Instance \"mysql__conn_aborted\"\r\n     </Match>\r\n     # ERROR\r\n     <Match>\r\n       Regex \" mysqld:.*\\\\[ERROR\\\\].*\"\r\n       DSType \"CounterInc\"\r\n       Type \"counter\"\r\n       Instance \"mysql__error\"\r\n     </Match>\r\n     # Warning\r\n     <Match>\r\n       Regex \" mysqld:.*\\\\[Warning\\\\].*\"\r\n       DSType \"CounterInc\"\r\n       Type \"counter\"\r\n       Instance \"mysql__warning\"\r\n     </Match>\r\n     # Note\r\n     <Match>\r\n       Regex \" mysqld:.*\\\\[Note\\\\].*\"\r\n       DSType \"CounterInc\"\r\n       Type \"counter\"\r\n       Instance \"mysql__note\"\r\n     </Match>\r\n     # InnoDB\r\n     <Match>\r\n       Regex \" mysqld:.*InnoDB:.*\"\r\n       DSType \"CounterInc\"\r\n       Type \"counter\"\r\n       Instance \"mysql__innodb\"\r\n     </Match>\r\n  </File>\r\n</Plugin>\r\n```","collectorPluginList":"MySQL plugin, Tail plugin","datasource":"Graphite","privacy":"public","createdAt":"2023-06-01T12:59:08.000Z","updatedAt":"2023-06-01T13:06:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18861"},{"rel":"revisions","href":"/dashboards/18861/revisions"},{"rel":"revision","href":"/dashboards/18861/revisions/1"},{"rel":"download","href":"/dashboards/18861/revisions/1/download"},{"rel":"org","href":"/orgs/sobaka"},{"rel":"images","href":"/dashboards/18861/images"},{"rel":"thumbnails","href":"/dashboards/18861/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":14969,"status":1,"statusCode":"active","orgId":499702,"orgSlug":"ymc023","orgName":"ymc023","slug":"mysqld-overview","downloads":962,"revisionId":22349,"revision":1,"name":"mysql  overview","description":"msyql Dashboard  from mysqld-exporter","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-09-06T09:23:46.000Z","updatedAt":"2021-09-06T09:25:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14969"},{"rel":"revisions","href":"/dashboards/14969/revisions"},{"rel":"revision","href":"/dashboards/14969/revisions/1"},{"rel":"download","href":"/dashboards/14969/revisions/1/download"},{"rel":"org","href":"/orgs/ymc023"},{"rel":"images","href":"/dashboards/14969/images"},{"rel":"thumbnails","href":"/dashboards/14969/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6239,"status":1,"statusCode":"active","orgId":151931,"orgSlug":"juanchimienti","orgName":"Juan Chimienti","slug":"mysql","downloads":18571,"revisionId":8501,"revision":1,"name":"Mysql - Prometheus","description":"Basic Mysql dashboard for the prometheus exporter ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-05-24T21:23:06.000Z","updatedAt":"2018-05-24T21:27:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":4,"reviewsAvgRating":3.75,"links":[{"rel":"self","href":"/dashboards/6239"},{"rel":"revisions","href":"/dashboards/6239/revisions"},{"rel":"revision","href":"/dashboards/6239/revisions/1"},{"rel":"download","href":"/dashboards/6239/revisions/1/download"},{"rel":"org","href":"/orgs/juanchimienti"},{"rel":"images","href":"/dashboards/6239/images"},{"rel":"thumbnails","href":"/dashboards/6239/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18382,"status":1,"statusCode":"active","orgId":813908,"orgSlug":"sarthakkushwaha4","orgName":"sarthakkushwaha4","slug":"mysql-prometheus","downloads":332,"revisionId":28208,"revision":1,"name":"Mysql - Prometheus","description":"Basic Mysql dashboard for the prometheus exporter ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL, Prometheus","privacy":"public","createdAt":"2023-03-29T12:37:07.000Z","updatedAt":"2023-03-29T12:37:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18382"},{"rel":"revisions","href":"/dashboards/18382/revisions"},{"rel":"revision","href":"/dashboards/18382/revisions/1"},{"rel":"download","href":"/dashboards/18382/revisions/1/download"},{"rel":"org","href":"/orgs/sarthakkushwaha4"},{"rel":"images","href":"/dashboards/18382/images"},{"rel":"thumbnails","href":"/dashboards/18382/thumbnails"}],"datasourceSlugs":["mysql","prometheus"]},{"id":18346,"status":1,"statusCode":"active","orgId":813908,"orgSlug":"sarthakkushwaha4","orgName":"sarthakkushwaha4","slug":"mysql-prometheus","downloads":329,"revisionId":28165,"revision":1,"name":"Mysql - Prometheus","description":"Basic Mysql dashboard for the prometheus exporter ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-23T09:45:45.000Z","updatedAt":"2023-03-23T09:46:25.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18346"},{"rel":"revisions","href":"/dashboards/18346/revisions"},{"rel":"revision","href":"/dashboards/18346/revisions/1"},{"rel":"download","href":"/dashboards/18346/revisions/1/download"},{"rel":"org","href":"/orgs/sarthakkushwaha4"},{"rel":"images","href":"/dashboards/18346/images"},{"rel":"thumbnails","href":"/dashboards/18346/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2765,"status":1,"statusCode":"active","orgId":76010,"orgSlug":"mbadley","orgName":"Malcolm Badley","slug":"mysql-muliple","downloads":600,"revisionId":3797,"revision":1,"name":"MYSQL (Muliple)","description":"InfluxDB dashboards for telegraf metrics","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-07-30T17:56:03.000Z","updatedAt":"2017-07-30T17:56:14.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2765"},{"rel":"revisions","href":"/dashboards/2765/revisions"},{"rel":"revision","href":"/dashboards/2765/revisions/1"},{"rel":"download","href":"/dashboards/2765/revisions/1/download"},{"rel":"org","href":"/orgs/mbadley"},{"rel":"images","href":"/dashboards/2765/images"},{"rel":"thumbnails","href":"/dashboards/2765/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":2753,"status":1,"statusCode":"active","orgId":76010,"orgSlug":"mbadley","orgName":"Malcolm Badley","slug":"mysql-multiple","downloads":759,"revisionId":3853,"revision":2,"name":"MYSQL (Multiple)","description":"InfluxDB dashboards for telegraf metrics","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-07-30T17:50:11.000Z","updatedAt":"2017-08-02T08:39:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2753"},{"rel":"revisions","href":"/dashboards/2753/revisions"},{"rel":"revision","href":"/dashboards/2753/revisions/2"},{"rel":"download","href":"/dashboards/2753/revisions/2/download"},{"rel":"org","href":"/orgs/mbadley"},{"rel":"images","href":"/dashboards/2753/images"},{"rel":"thumbnails","href":"/dashboards/2753/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":4042,"status":1,"statusCode":"active","orgId":60992,"orgSlug":"itboffin","orgName":"Stephen Renshaw","slug":"mysql-multiple","downloads":577,"revisionId":5488,"revision":1,"name":"MySQL (Multiple)","description":"InfluxDB dashboards for telegraf metrics","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"mysql","datasource":"InfluxDB","privacy":"public","createdAt":"2017-12-18T17:01:52.000Z","updatedAt":"2017-12-18T17:02:19.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4042"},{"rel":"revisions","href":"/dashboards/4042/revisions"},{"rel":"revision","href":"/dashboards/4042/revisions/1"},{"rel":"download","href":"/dashboards/4042/revisions/1/download"},{"rel":"org","href":"/orgs/itboffin"},{"rel":"images","href":"/dashboards/4042/images"},{"rel":"thumbnails","href":"/dashboards/4042/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20016,"status":1,"statusCode":"active","orgId":65042,"orgSlug":"orion203","orgName":"orion203","slug":"mysql-8-0","downloads":1478,"revisionId":30773,"revision":1,"name":"MySQL 8.0 Overview","description":"Dashboard for MySQL Monitoring from prometheus mysql exporter.","readme":"I have use a PMM2 dashboard which is very useful. I want to summary a dashboard. This dashboard tested in MySQL 8.0.33\r\n\r\nThank you\r\n","collectorType":"nodeExporter","collectorConfig":"## node_exporter\r\n\r\nThe node_exporter has many cli options. I have a cli options as follow,\r\n\r\n```sh\r\n/usr/sbin/node_exporter --web.listen-address=:9100 --collector.disable-defaults --collector.cpu --collector.loadavg --collector.xfs --collector.meminfo --collector.filesystem --collector.diskstats --collector.uname --collector.vmstat --collector.filesystem.fs-types-exclude=^(autofs|binfmt_misc|bpf|cgroup2?|configfs|debugfs|devpts|tmpfs|devtmpfs|fusectl|hugetlbfs|iso9660|mqueue|nsfs|overlay|proc|procfs|pstore|rpc_pipefs|securityfs|selinuxfs|squashfs|sysfs|tracefs)$ --collector.netdev --collector.stat --collector.tcpstat --collector.processes --collector.diskstats.device-exclude=^(ram|loop|fd|(h|s|v|xv)d[a-z]|nvmed+nd+p)d+$\r\n```\r\nIf you don't use xfs file system, you should change a option of file system.\r\n\r\n## mysqld_exporter\r\n\r\nMysqld_exporter has a options as follow,\r\n\r\n```sh\r\n/usr/sbin/mysqld_exporter --config.my-cnf /etc/mysqld_exporter.cnf --collect.global_status --collect.info_schema.innodb_metrics --collect.auto_increment.columns --collect.info_schema.processlist --collect.binlog_size --collect.info_schema.tablestats --collect.global_variables --collect.info_schema.query_response_time --collect.info_schema.userstats --collect.info_schema.tables --collect.perf_schema.tablelocks --collect.perf_schema.file_events --collect.perf_schema.eventswaits --collect.perf_schema.indexiowaits --collect.perf_schema.tableiowaits --collect.slave_status --web.listen-address=0.0.0.0:9104\r\n```\r\n\r\nmysqd_exporter.cnf have only a account to connect to mysql server. Also, mysql account have a grant to connect.\r\n\r\n```sql\r\nmysql> show grants for 'exporter'@'127.0.0.1';\r\n+----------------------------------------------------------------------------+\r\n| Grants for exporter@127.0.0.1                                              |\r\n+----------------------------------------------------------------------------+\r\n| GRANT SELECT, PROCESS, REPLICATION CLIENT ON *.* TO `exporter`@`127.0.0.1` |\r\n+----------------------------------------------------------------------------+\r\n1 row in set (0.00 sec)\r\n```\r\n","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-21T16:49:36.000Z","updatedAt":"2024-03-13T00:59:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20016"},{"rel":"revisions","href":"/dashboards/20016/revisions"},{"rel":"revision","href":"/dashboards/20016/revisions/1"},{"rel":"download","href":"/dashboards/20016/revisions/1/download"},{"rel":"org","href":"/orgs/orion203"},{"rel":"images","href":"/dashboards/20016/images"},{"rel":"thumbnails","href":"/dashboards/20016/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20809,"status":1,"statusCode":"active","orgId":400131,"orgSlug":"nullzone","orgName":"Alberto Rodríguez Ortega","slug":"mysql-8-0-overview","downloads":323,"revisionId":32212,"revision":1,"name":"MySQL 8.0 Overview","description":"Dashboard for MySQL Monitoring from prometheus mysql exporter.","readme":"Base dashboard id #20016\r\nModified to make this to work in a prometheus monitoring-stack in Kubernetes\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-29T19:01:59.000Z","updatedAt":"2024-03-29T19:03:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20809"},{"rel":"revisions","href":"/dashboards/20809/revisions"},{"rel":"revision","href":"/dashboards/20809/revisions/1"},{"rel":"download","href":"/dashboards/20809/revisions/1/download"},{"rel":"org","href":"/orgs/nullzone"},{"rel":"images","href":"/dashboards/20809/images"},{"rel":"thumbnails","href":"/dashboards/20809/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15641,"status":1,"statusCode":"active","orgId":423519,"orgSlug":"kumar2","orgName":"kumar2","slug":"mysql-cluster-overview","downloads":12694,"revisionId":24701,"revision":3,"name":"MySQL Cluster Overview","description":"Dashboard for MySQL Galera Monitoring from prometheus mysql exporter.","readme":"Dashboard for MySQL Galera Monitoring from Bitnami MySQL exporter https://hub.docker.com/r/bitnami/mysqld-exporter/.\r\n\r\nAll the dashboard variables are templated based on a k8s based deployment, so they reference \"Pod\", but this can changed to something else depending on your deployment. The important thing is that all the major metrics are there in the dashboard, along with a useful description in almost all the panels.\r\n\r\n**Adjusting these template variables - specifically \"Release\" should allow you to monitor any/all MySQL clusters that Prometheus is scraping.**\r\n\r\nBased off of a few other MySQL/Galera dashboads I've seen around, with a few extra panels added. \r\n\r\nHappy monitoring!","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-01-27T20:40:34.000Z","updatedAt":"2022-05-10T16:31:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15641"},{"rel":"revisions","href":"/dashboards/15641/revisions"},{"rel":"revision","href":"/dashboards/15641/revisions/3"},{"rel":"download","href":"/dashboards/15641/revisions/3/download"},{"rel":"org","href":"/orgs/kumar2"},{"rel":"images","href":"/dashboards/15641/images"},{"rel":"thumbnails","href":"/dashboards/15641/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14031,"status":1,"statusCode":"active","orgId":468610,"orgSlug":"skillpedia","orgName":"The SkillPedia","slug":"mysql-dashboard","downloads":14803,"revisionId":26026,"revision":5,"name":"MySQL Dashboard","description":"The Dashboard display Visualization Data from MySQL Exporter configured with Prometheus Database","readme":"The Dashboard Show Memory utilization, Network Traffic Monitoring, CPU Utilization and Other Metrics pulled from Prometheus Data Sources Configured with MySQL Node Exporter.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-03-09T16:01:11.000Z","updatedAt":"2022-09-15T07:19:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14031"},{"rel":"revisions","href":"/dashboards/14031/revisions"},{"rel":"revision","href":"/dashboards/14031/revisions/5"},{"rel":"download","href":"/dashboards/14031/revisions/5/download"},{"rel":"org","href":"/orgs/skillpedia"},{"rel":"images","href":"/dashboards/14031/images"},{"rel":"thumbnails","href":"/dashboards/14031/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23463,"status":1,"statusCode":"active","orgId":1436798,"orgSlug":"xakep14","orgName":"xakep14","slug":"mysql-test","downloads":253,"revisionId":37292,"revision":1,"name":"MySQL Dashboard","description":"Dashboard from Percona Monitoring and Management project without Node-Exporter's metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-05-22T10:03:08.000Z","updatedAt":"2025-05-22T10:03:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23463"},{"rel":"revisions","href":"/dashboards/23463/revisions"},{"rel":"revision","href":"/dashboards/23463/revisions/1"},{"rel":"download","href":"/dashboards/23463/revisions/1/download"},{"rel":"org","href":"/orgs/xakep14"},{"rel":"images","href":"/dashboards/23463/images"},{"rel":"thumbnails","href":"/dashboards/23463/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":235,"status":1,"statusCode":"active","orgId":12872,"orgSlug":"matejz","orgName":"matejz","slug":"service-mysql-overview","downloads":3236,"revisionId":307,"revision":1,"name":"MySQL Dashboards for Graphite","description":"Percona MySQL dashboards that work with graphite","readme":"# Grafana dashboards for measuring MySQL performance with Graphite\r\n\r\nThese are Grafana dashboards for MySQL to be used with Graphite. They are based on great [Percona dashboards for Prometheus](https://github.com/percona/grafana-dashboards). I try to mimic them as close as possible.\r\n\r\nCurrently, the following dashboards are available:\r\n\r\n* MySQL InnoDB Metrics\r\n* MySQL MyISAM Metrics\r\n* MySQL Overview\r\n* MySQL Replication\r\n\r\n## Getting all the dashboards\r\nSince it's not possible to upload multiple dashboards, get the rest of them on [https://github.com/matejzero/grafana-dashboards](https://github.com/matejzero/grafana-dashboards)\r\n\r\n## Usage and prefix\r\nThese dashboards are meant to be used with CollectD as a metrics collector. Provided *mysql.py CollectD plugin* must be used to gather statistics and put them in the right prefix.\r\n\r\nDefault prefix in dashboards is **servers**.\r\n\r\n### Collectd configuration\r\nIf you don’t already have the Python module loaded, you need to configure it first:\r\n\r\n    <LoadPlugin python>\r\n        Globals true\r\n    </LoadPlugin>\r\n    <Plugin python>\r\n        ModulePath \"/path/to/python/modules\"\r\n    </Plugin>\r\n\r\nYou should then configure the MySQL plugin:\r\n\r\n    <Plugin python>\r\n        Import mysql\r\n        <Module mysql>\r\n            Host \"localhost\" (default: localhost)\r\n            Port 3306 (default: 3306)\r\n            User \"root\" (default: root)\r\n            Password \"xxxx\" (default: empty)\r\n            HeartbeatTable \"percona.heartbeat\" (if using pt-heartbeat to track slave lag)\r\n            Verbose false (default: false)\r\n        </Module>\r\n    </Python>\r\n\r\n\r\nThere is also a **host** variable which is set to *sql** by default(I might remove that in the future). If your server has different name, [change](http://docs.grafana.org/reference/templating/) is accordingly.\r\n\r\n## ChangeLog\r\n* Rev 1: Initial upload\r\n\r\n## Make it better\r\nFor all ideas and ways to make it better, please open an issue and I'll do my best to make it better: https://github.com/matejzero/grafana-dashboards\r\n","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2016-07-23T14:09:56.000Z","updatedAt":"2016-07-23T15:37:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/235"},{"rel":"revisions","href":"/dashboards/235/revisions"},{"rel":"revision","href":"/dashboards/235/revisions/1"},{"rel":"download","href":"/dashboards/235/revisions/1/download"},{"rel":"org","href":"/orgs/matejz"},{"rel":"images","href":"/dashboards/235/images"},{"rel":"thumbnails","href":"/dashboards/235/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":3303,"status":1,"statusCode":"active","orgId":77723,"orgSlug":"keiuchi","orgName":"keiuchi","slug":"mysql-dashboards-for-graphite","downloads":402,"revisionId":4575,"revision":1,"name":"MySQL Dashboards for Graphite","description":"Percona MySQL dashboards that work with graphite","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2017-09-26T01:49:05.000Z","updatedAt":"2017-09-26T01:49:32.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3303"},{"rel":"revisions","href":"/dashboards/3303/revisions"},{"rel":"revision","href":"/dashboards/3303/revisions/1"},{"rel":"download","href":"/dashboards/3303/revisions/1/download"},{"rel":"org","href":"/orgs/keiuchi"},{"rel":"images","href":"/dashboards/3303/images"},{"rel":"thumbnails","href":"/dashboards/3303/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":11805,"status":1,"statusCode":"active","orgId":244456,"orgSlug":"valentinmysql","orgName":"Valentin TRAËN","slug":"mysql-encryption","downloads":379,"revisionId":16717,"revision":1,"name":"MySQL Encryption","description":"Manage innodb encryption, binlog encryption, redo logs encryption and undo tablespaces encryption with PMM\r\n","readme":"Manage innodb encryption, binlog encryption, redo logs encryption and undo tablespaces encryption with PMM\r\n\r\nMore informations on https://github.com/valentin-traen/MYSQL_PMM-encryption_status","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-02-26T13:43:03.000Z","updatedAt":"2022-07-26T10:21:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11805"},{"rel":"revisions","href":"/dashboards/11805/revisions"},{"rel":"revision","href":"/dashboards/11805/revisions/1"},{"rel":"download","href":"/dashboards/11805/revisions/1/download"},{"rel":"org","href":"/orgs/valentinmysql"},{"rel":"images","href":"/dashboards/11805/images"},{"rel":"thumbnails","href":"/dashboards/11805/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21821,"status":1,"statusCode":"active","orgId":1203521,"orgSlug":"ssup2","orgName":"ssup2","slug":"mysql-exporter","downloads":1179,"revisionId":34145,"revision":1,"name":"MySQL Exporter","description":"A quickstart to setup the Prometheus MySQL Exporter with preconfigured dashboards, alerting rules, and recording rules.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus, CloudWatch","privacy":"public","createdAt":"2024-09-03T12:35:55.000Z","updatedAt":"2024-09-03T12:36:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21821"},{"rel":"revisions","href":"/dashboards/21821/revisions"},{"rel":"revision","href":"/dashboards/21821/revisions/1"},{"rel":"download","href":"/dashboards/21821/revisions/1/download"},{"rel":"org","href":"/orgs/ssup2"},{"rel":"images","href":"/dashboards/21821/images"},{"rel":"thumbnails","href":"/dashboards/21821/thumbnails"}],"datasourceSlugs":["cloudwatch","prometheus"]},{"id":14057,"status":1,"statusCode":"active","orgId":5000,"orgSlug":"grafana","orgName":"Grafana Labs","slug":"mysql","downloads":70524,"revisionId":20613,"revision":1,"name":"MySQL Exporter Quickstart and Dashboard","description":"A quickstart to setup the Prometheus MySQL Exporter with preconfigured dashboards, alerting rules, and recording rules.","readme":"To use this dashboard, please follow the [MySQL Exporter Quickstart](https://grafana.com/oss/prometheus/exporters/mysql-exporter). This quickstart helps you monitor your MySQL server or cluster by setting up MySQL Exporter with preconfigured dashboards, alerting rules, and recording rules.\nThis dashboard includes panels for the following metrics:\n\n- Uptime\n- Current QPS\n- InnoDB Buffer Pool\n- MySQL Connections\n- MySQL Client Thread Activity\n- MySQL Questions\n- MySQL Thread Cache\n- MySQL Temporary Objects\n- MySQL Select Types\n- MySQL Sorts\n- MySQL Slow Queries\n- MySQL Aborted Connections\n- MySQL Table Locks\n- MySQL Network Traffic\n- MySQL Internal Memory Overview\n- Top Command Counters\n- MySQL Handlers\n- MySQL Transaction Handlers\n- Process States\n- Top Process States Hourly\n- MySQL Query Cache Memory\n- MySQL Query Cache Activity\n- MySQL File Openings\n- MySQL Open Files\n- MySQL Table Open Cache Status\n- MySQL Open Tables\n- MySQL Table Definition Cache\n\nThis dashboard was generated using the MySQL Exporter mixin. If you need to modify or regenerate it, please see the [mixin repository](https://github.com/prometheus/mysqld_exporter/tree/master/mysqld-mixin).\nYou may need to import Prometheus recording rules before using this dashboard. To learn more, please see the [MySQL Exporter guide](https://grafana.com/oss/prometheus/exporters/mysql-exporter).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-03-12T18:31:09.000Z","updatedAt":"2021-03-12T18:47:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14057"},{"rel":"revisions","href":"/dashboards/14057/revisions"},{"rel":"revision","href":"/dashboards/14057/revisions/1"},{"rel":"download","href":"/dashboards/14057/revisions/1/download"},{"rel":"org","href":"/orgs/grafana"},{"rel":"images","href":"/dashboards/14057/images"},{"rel":"thumbnails","href":"/dashboards/14057/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24024,"status":1,"statusCode":"active","orgId":1492684,"orgSlug":"fei2210ze","orgName":"fei2210ze","slug":"mysql-exporter-quickstart-and-dashboard","downloads":189,"revisionId":38326,"revision":1,"name":"MySQL Exporter Quickstart and Dashboard","description":"A quickstart to setup the Prometheus MySQL Exporter with preconfigured dashboards, alerting rules, and recording rules.","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"Aggregation plugin","datasource":"Prometheus","privacy":"public","createdAt":"2025-09-07T14:57:01.000Z","updatedAt":"2025-09-07T14:57:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24024"},{"rel":"revisions","href":"/dashboards/24024/revisions"},{"rel":"revision","href":"/dashboards/24024/revisions/1"},{"rel":"download","href":"/dashboards/24024/revisions/1/download"},{"rel":"org","href":"/orgs/fei2210ze"},{"rel":"images","href":"/dashboards/24024/images"},{"rel":"thumbnails","href":"/dashboards/24024/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10583,"status":1,"statusCode":"active","orgId":244456,"orgSlug":"valentinmysql","orgName":"Valentin TRAËN","slug":"mysql-home-copy","downloads":732,"revisionId":14789,"revision":1,"name":"MySQL Home","description":"[PMM] A dashboard to get an overview of your MySQL instances in Percona Monitoring and management","readme":"# [PMM] A dashboard to get an overview of your MySQL instances in Percona Monitoring and management\r\n\r\n## For custom group based on databases name\r\n\r\nuse : https://github.com/valentin-traen/MYSQL_PMM-Custom-YAML\r\n(or native table metrics)\r\n\r\n## For cluster number\r\n\r\nuse https://github.com/valentin-traen/MySQL-PMM-innodb_cluster_monitoring\r\n\r\n## For data + index size\r\n\r\nuse https://github.com/valentin-traen/MYSQL_PMM_get_table_index_size\r\n(or native table metrics)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL, Prometheus","privacy":"public","createdAt":"2019-07-22T07:57:31.000Z","updatedAt":"2022-05-20T13:40:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10583"},{"rel":"revisions","href":"/dashboards/10583/revisions"},{"rel":"revision","href":"/dashboards/10583/revisions/1"},{"rel":"download","href":"/dashboards/10583/revisions/1/download"},{"rel":"org","href":"/orgs/valentinmysql"},{"rel":"images","href":"/dashboards/10583/images"},{"rel":"thumbnails","href":"/dashboards/10583/thumbnails"}],"datasourceSlugs":["mysql","prometheus"]},{"id":10815,"status":1,"statusCode":"active","orgId":94170,"orgSlug":"perconalab","orgName":"perconalab","slug":"mysql-innodb-cached-indexes","downloads":569,"revisionId":15122,"revision":2,"name":"MySQL InnoDB Cached Indexes (Designed for PMM)","description":"The MySQL InnoDB Cached Indexes dashboard displays the top 20 indexes that are memory resident and the sizes of each index. The pie chart displays the same information in a different view but combines all indexes that take up 3% or less of the total size of all memory-resident indexes, in a pie slice labeled Others. The naming convention is schema_name.table_name.index_name. You are able to display any combination of tables and indexes as you see fit. The 5 statistics displayed at the bottom are the total size of cached indexes on your MySQL instance, the size of the InnoDB buffer pool, the ratio of cached indexes to the size of the InnoDB buffer pool, the size of the selected schema’s cached indexes, and the size of the selected table’s cached indexes.","readme":"Download the queries-mysqld.yml file from [here](https://github.com/Percona-Lab/pmm-cache_statistics). \r\n\r\nThe README.md has installation instructions for queries-mysqld.yml. Instead of importing the .json, paste (number) for the dashboard ID, and select Load.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-09-04T15:13:30.000Z","updatedAt":"2019-09-05T14:10:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10815"},{"rel":"revisions","href":"/dashboards/10815/revisions"},{"rel":"revision","href":"/dashboards/10815/revisions/2"},{"rel":"download","href":"/dashboards/10815/revisions/2/download"},{"rel":"org","href":"/orgs/perconalab"},{"rel":"images","href":"/dashboards/10815/images"},{"rel":"thumbnails","href":"/dashboards/10815/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10006,"status":1,"statusCode":"active","orgId":244456,"orgSlug":"valentinmysql","orgName":"Valentin TRAËN","slug":"mysql-innodb-cluster","downloads":1670,"revisionId":24806,"revision":6,"name":"MySQL Innodb Cluster","description":"A dashboard for Innodb Cluster monitoring","readme":"To use with MySQL Custom Queries (PMM). \r\nThe yaml : https://github.com/valentin-traen/MySQL-PMM-innodb_cluster_monitoring/blob/master/queries-mysqld.yml","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-04-05T09:23:57.000Z","updatedAt":"2022-07-26T10:17:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/10006"},{"rel":"revisions","href":"/dashboards/10006/revisions"},{"rel":"revision","href":"/dashboards/10006/revisions/6"},{"rel":"download","href":"/dashboards/10006/revisions/6/download"},{"rel":"org","href":"/orgs/valentinmysql"},{"rel":"images","href":"/dashboards/10006/images"},{"rel":"thumbnails","href":"/dashboards/10006/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7365,"status":1,"statusCode":"active","orgId":172232,"orgSlug":"nasskach","orgName":"nasskach","slug":"mysql-innodb-metrics","downloads":4524,"revisionId":9984,"revision":1,"name":"MySQL InnoDB Metrics","description":"Dashboard from Percona Monitoring and Management project. https://github.com/percona/grafana-dashboards","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-08-06T08:59:42.000Z","updatedAt":"2018-08-06T08:59:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7365"},{"rel":"revisions","href":"/dashboards/7365/revisions"},{"rel":"revision","href":"/dashboards/7365/revisions/1"},{"rel":"download","href":"/dashboards/7365/revisions/1/download"},{"rel":"org","href":"/orgs/nasskach"},{"rel":"images","href":"/dashboards/7365/images"},{"rel":"thumbnails","href":"/dashboards/7365/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9624,"status":1,"statusCode":"active","orgId":228613,"orgSlug":"willejs","orgName":"willejs","slug":"mysql-innodb-metrics","downloads":1452,"revisionId":13463,"revision":2,"name":"MySQL InnoDB Metrics","description":"","readme":"Commit 2caf03feaca80cdeebe128ae3282de806a6cb498 from https://github.com/percona/grafana-dashboards","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-01-11T16:10:56.000Z","updatedAt":"2019-01-18T14:19:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9624"},{"rel":"revisions","href":"/dashboards/9624/revisions"},{"rel":"revision","href":"/dashboards/9624/revisions/2"},{"rel":"download","href":"/dashboards/9624/revisions/2/download"},{"rel":"org","href":"/orgs/willejs"},{"rel":"images","href":"/dashboards/9624/images"},{"rel":"thumbnails","href":"/dashboards/9624/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9892,"status":1,"statusCode":"active","orgId":239066,"orgSlug":"dgb","orgName":"Daniel Guzman-Burgos","slug":"mutex","downloads":740,"revisionId":13781,"revision":1,"name":"MySQL InnoDB Mutex","description":"MySQL InnoDB Mutex graph made for PMM (Percona) using custom queries. Instructions available at https://www.percona.com/blog/2019/03/12/pmms-custom-queries-in-action-adding-a-graph-for-innodb-mutex-waits/","readme":"InnoDB Mutex graph made for PMM (Percona) Using custom queries. Instructions available at https://www.percona.com/blog/2019/03/12/pmms-custom-queries-in-action-adding-a-graph-for-innodb-mutex-waits/","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-03-08T14:20:24.000Z","updatedAt":"2019-03-27T13:50:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/9892"},{"rel":"revisions","href":"/dashboards/9892/revisions"},{"rel":"revision","href":"/dashboards/9892/revisions/1"},{"rel":"download","href":"/dashboards/9892/revisions/1/download"},{"rel":"org","href":"/orgs/dgb"},{"rel":"images","href":"/dashboards/9892/images"},{"rel":"thumbnails","href":"/dashboards/9892/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2854,"status":1,"statusCode":"active","orgId":76559,"orgSlug":"schachr","orgName":"schachr","slug":"mysql-librenms","downloads":1398,"revisionId":3945,"revision":2,"name":"MySQL LibreNMS","description":"MySQL Overview provided by LibreNMS, read via Graphite and displayed via Grafana!","readme":"# MySQL LibreNMS Dashboard\r\nMySQL Overview provided by LibreNMS, read via Graphite and displayed via Grafana!\r\n\r\n## Metric Field description\r\n1. `rootdir` = also known as prefix, used to summarize metrics of a collector.\r\n1. `server` = Server Name without `.`\r\n1. `instance` = automatically choosen app instance in LibreNMS.\r\n1. `value` = Value/Measurement\r\n\r\n## Dependencies\r\n- LibreNMS (http://www.librenms.org/)\r\n- Graphite (with access to RRD files from LibreNMS). \r\n- Grafana\r\n\r\n## Graphite RRD Files\r\n**Note**: This Dashboard is designed to use the RRD Graphs directly. No need to configure graphite output extension in LibreNMS!\r\nPlease keep in mind that hostnames usually contain `.`. You may want to consider symlinking in `STORAGE_DIR/rrd` instead, as this dashboard uses only the 2nd field for the hostname.\r\n\r\n## Configuration\r\n- configure MySQL App in LibreNMS (http://docs.librenms.org/Extensions/Applications/#mysql)\r\n- Import Dashboard and select the appropriate values at the top variable list for: *datasource*, *rootdir*, *server*.\r\n- Enjoy!\r\n\r\n## Links\r\n- [github](https://github.com/schachr/grafana-dashboards/tree/master/mysql-librenms): https://github.com/schachr/grafana-dashboards/tree/master/mysql-librenms\r\n- [grafana](https://grafana.com/dashboards/2854): 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","readme":"emmm...","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-27T07:28:17.000Z","updatedAt":"2021-08-27T07:32:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14934"},{"rel":"revisions","href":"/dashboards/14934/revisions"},{"rel":"revision","href":"/dashboards/14934/revisions/1"},{"rel":"download","href":"/dashboards/14934/revisions/1/download"},{"rel":"org","href":"/orgs/guaiguaile"},{"rel":"images","href":"/dashboards/14934/images"},{"rel":"thumbnails","href":"/dashboards/14934/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20468,"status":1,"statusCode":"active","orgId":683761,"orgSlug":"proclane","orgName":"proclane","slug":"mysql-overview","downloads":383,"revisionId":31622,"revision":1,"name":"MySQL 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project. https://github.com/percona/grafana-dashboards","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-10-30T12:31:33.000Z","updatedAt":"2022-10-30T12:35:38.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17304"},{"rel":"revisions","href":"/dashboards/17304/revisions"},{"rel":"revision","href":"/dashboards/17304/revisions/1"},{"rel":"download","href":"/dashboards/17304/revisions/1/download"},{"rel":"org","href":"/orgs/vahidehalinouri"},{"rel":"images","href":"/dashboards/17304/images"},{"rel":"thumbnails","href":"/dashboards/17304/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16500,"status":1,"statusCode":"active","orgId":669105,"orgSlug":"bd353533004","orgName":"zhuangjiajun","slug":"mysql-overview-with-telegraf","downloads":771,"revisionId":25174,"revision":1,"name":"MySQL Overview With Telegraf","description":"Dashboard from Percona Monitoring and Management project.\r\nMetrics include\r\n- Uptime\r\n- Qps\r\n- Tps\r\n- Connections\r\n- Network Traffic\r\n- Handlers\r\n- Open Files\r\n- Innodb Buffer Pool\r\n- Select Insert Update Delete Detail","readme":"### telegraf ---> n9e server ---> prometheus ---> grafana\r\n\r\n#### Metrics include\r\n- Uptime\r\n- Qps\r\n- Tps\r\n- Connections\r\n- Network Traffic\r\n- Handlers\r\n- Open Files\r\n- Innodb Buffer Pool\r\n- Select Insert Update Delete Detail","collectorType":"Telegraf","collectorConfig":"## telegraf\r\n```yaml\r\n\r\n[global_tags]\r\n\r\n[agent]\r\n  interval = \"10s\"\r\n  round_interval = true\r\n  metric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"10s\"\r\n  flush_jitter = \"0s\"\r\n  precision = \"\"\r\n  hostname = \"###Your Ip Address or  Endpoint Name###\"\r\n  omit_hostname = false\r\n  logfile = \"/data/telegraf/var/log/telegraf/telegraf.log\"\r\n\r\n[[outputs.opentsdb]]\r\n  host = \"http://###Your n9e-server ip###\" # n9e-server\r\n  port = 19000\r\n  http_batch_size = 50\r\n  http_path = \"/opentsdb/put\"\r\n  debug = false\r\n  separator = \"_\"\r\n\r\n[[inputs.cpu]]\r\n  percpu = true\r\n  totalcpu = true\r\n  collect_cpu_time = false\r\n  report_active = true\r\n\r\n[[inputs.disk]]\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\r\n\r\n[[inputs.diskio]]\r\n\r\n[[inputs.kernel]]\r\n\r\n[[inputs.mem]]\r\n\r\n[[inputs.processes]]\r\n\r\n[[inputs.system]]\r\n  fielddrop = [\"uptime_format\"]\r\n\r\n[[inputs.net]]\r\n  ignore_protocol_stats = true\r\n\r\n[[inputs.linux_sysctl_fs]]\r\n\r\n[[inputs.netstat]]\r\n\r\n\r\n[[inputs.mysql]]\r\n  servers = [\r\n    \"###Mysql-user###:###passwd###@tcp(###ip###:3306)/?tls=false\", # test\r\n    \"###Mysql-user###:###passwd###@tcp(###ip###:3306)/?tls=false\", # dev\r\n    \"###Mysql-user###:###passwd###@tcp(###ip###:3306)/?tls=false\",  # uat\r\n  ]\r\n```","collectorPluginList":"mysql","datasource":"Prometheus","privacy":"public","createdAt":"2022-06-24T02:06:10.000Z","updatedAt":"2022-06-24T03:28:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/16500"},{"rel":"revisions","href":"/dashboards/16500/revisions"},{"rel":"revision","href":"/dashboards/16500/revisions/1"},{"rel":"download","href":"/dashboards/16500/revisions/1/download"},{"rel":"org","href":"/orgs/bd353533004"},{"rel":"images","href":"/dashboards/16500/images"},{"rel":"thumbnails","href":"/dashboards/16500/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16425,"status":1,"statusCode":"active","orgId":323182,"orgSlug":"vasiliyozerov","orgName":"vasiliyozerov","slug":"mysql-overview","downloads":355,"revisionId":25046,"revision":1,"name":"MySQL Overview With Telegraf","description":"Dashboard is based on Percona Monitoring and Management project dashboard.\r\n\r\nChanged some metrics to be used with telegraf 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","readme":"This dashboard displays metrics from the MySQL Replication Semisynchronous feature available since 5.6.  Designed for https://www.percona.com/software/database-tools/percona-monitoring-and-management\n\n\nThis dashboard leverages data collected by the mysqld_exporter and takes advantage of the metric series named mysql_global_status_rpl_semi_sync_* .  The five graphs are:\n* Replica semi-sync status - enabled or not\n* Waits by type, on Network or on Transactions\n* How much total time was spent waiting on Transactions - what's my penalty due to writes slowing down\n* How much average time was spent waiting per transaction\nCommit acknowledgments - what's my replication throughput","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-06-29T19:59:02.000Z","updatedAt":"2021-06-29T20:17:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14636"},{"rel":"revisions","href":"/dashboards/14636/revisions"},{"rel":"revision","href":"/dashboards/14636/revisions/1"},{"rel":"download","href":"/dashboards/14636/revisions/1/download"},{"rel":"org","href":"/orgs/perconalab"},{"rel":"images","href":"/dashboards/14636/images"},{"rel":"thumbnails","href":"/dashboards/14636/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9625,"status":1,"statusCode":"active","orgId":228613,"orgSlug":"willejs","orgName":"willejs","slug":"mysql-table-statistics","downloads":1683,"revisionId":13339,"revision":1,"name":"MySQL Table Statistics","description":"Copy of dashboards from 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agent","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2021-06-18T13:38:18.000Z","updatedAt":"2021-06-18T13:42:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14595"},{"rel":"revisions","href":"/dashboards/14595/revisions"},{"rel":"revision","href":"/dashboards/14595/revisions/1"},{"rel":"download","href":"/dashboards/14595/revisions/1/download"},{"rel":"org","href":"/orgs/raunex"},{"rel":"images","href":"/dashboards/14595/images"},{"rel":"thumbnails","href":"/dashboards/14595/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":14621,"status":1,"statusCode":"active","orgId":514895,"orgSlug":"vasgouv","orgName":"vasgouv","slug":"mysql-mariadb-workload","downloads":3304,"revisionId":21678,"revision":2,"name":"MySQL/MariaDB Workload","description":"MariaDB Workload metrics ","readme":"## MySQL/MariaDB Workload\r\n\r\nMariaDB Workload Overview\r\nInnodb, I/O, Waits, etc\r\n\r\nREFS\r\n- Based on Perconda Dashboards https://github.com/percona/grafana-dashboards\r\n- Collector https://github.com/prometheus/mysqld_exporter\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-06-24T12:52:16.000Z","updatedAt":"2021-06-24T12:54:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14621"},{"rel":"revisions","href":"/dashboards/14621/revisions"},{"rel":"revision","href":"/dashboards/14621/revisions/2"},{"rel":"download","href":"/dashboards/14621/revisions/2/download"},{"rel":"org","href":"/orgs/vasgouv"},{"rel":"images","href":"/dashboards/14621/images"},{"rel":"thumbnails","href":"/dashboards/14621/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14727,"status":1,"statusCode":"active","orgId":522609,"orgSlug":"icewarp","orgName":"icewarp","slug":"mysqld","downloads":423,"revisionId":21876,"revision":1,"name":"MySQLd","description":"A quickstart to setup the Prometheus MySQL Exporter with preconfigured 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20221102-StarsL.cn","description":"基于官方版本汉化，增加总览页，增加表大小行数统计，优化重要指标展示。","readme":"**该看板基于Mysqld_Exporter的监控指标设计，基于官方版本汉化，增加总览页，增加表大小行数统计，优化重要指标展示。**\r\n#### 对于图表中的CPU、内存、磁盘等部分Mysqld_Exporter不提供的指标：\r\n- 自建Mysql：从node-exporter中获取以上信息，通过instance的IP部分进行关联。\r\n- 云DRS：从ConsulManager-MySQL中获取，会根据实例ID进行关联。(数据来自云监控，从ConsulManager的Prometheus配置生成菜单中可生成配置。)\r\n\r\n##### ?[**推荐：**配合ConsulManager使用，自动同步监控ECS/Mysql/RDS](https://github.com/starsliao/ConsulManager)\r\n- [https://github.com/starsliao/ConsulManager](https://github.com/starsliao/ConsulManager)\r\n\r\n---\r\n\r\n### [查看：如何优雅的使用1个mysqld_exporter监控所有的MySQL实例](https://github.com/starsliao/ConsulManager/blob/main/docs/%E5%A6%82%E4%BD%95%E4%BC%98%E9%9B%85%E7%9A%84%E4%BD%BF%E7%94%A8%E4%B8%80%E4%B8%AAmysqld_exporter%E7%9B%91%E6%8E%A7%E6%89%80%E6%9C%89%E7%9A%84MySQL%E5%AE%9E%E4%BE%8B.md)\r\n\r\n##### 官方main版本的代码已经支持：1对多目标的mysqld_exporter，只是还没有发Releases。\r\n- 本仓库基于以上源码编译了二进制包和docker镜像。\r\n- 支持1对多实例的 mysqld_exporter docker-compose 如下：\r\n- [**点击进入仓库查看详情**](https://github.com/starsliao/multi_mysqld_exporter)\r\n\r\n```\r\nversion: \"3.2\"\r\nservices:\r\n  mysqld_exporter:\r\n    image: swr.cn-south-1.myhuaweicloud.com/starsl.cn/mysqld_exporter:latest\r\n    container_name: mysqld_exporter\r\n    hostname: mysqld_exporter\r\n    restart: unless-stopped\r\n    volumes:\r\n      - /usr/share/zoneinfo/PRC:/etc/localtime\r\n    environment:\r\n      MYSQLD_EXPORTER_PASSWORD: 监控专用密码\r\n    entrypoint:\r\n      - /bin/mysqld_exporter\r\n      - --collect.info_schema.innodb_metrics\r\n      - --collect.info_schema.tables\r\n      - --collect.info_schema.processlist\r\n      - --collect.info_schema.tables.databases=*\r\n      - --mysqld.username=监控专用用户名\r\n    expose:\r\n      - 9104\r\n    network_mode: \"host\"\r\n```\r\n\r\n### docker-compose使用说明：\r\nhttps://github.com/starsliao/multi_mysqld_exporter/blob/main/docker-compose.yml\r\n- 该镜像是专门用于多mysql实例使用一个mysqld_exporter。\r\n- docker-compose中有2个变量：**监控专用的mysql账号和密码**，注意修改掉后再启动。\r\n- **该docker-compose配置方式是所有的mysql实例都配置了一样的mysql监控账号和密码。**\r\n- 如果你有不同mysql实例需要配置不同监控账号密码的需求，请参考官方Readme使用配置文件的方式启动。\r\n\r\n#### 监控专用账户权限配置：\r\n```\r\nCREATE USER '监控专用用户名'@'multi_mysqld_exporter主机的IP' IDENTIFIED BY '监控专用密码' WITH MAX_USER_CONNECTIONS 10;\r\nGRANT PROCESS, REPLICATION CLIENT, SELECT ON *.* TO '监控专用用户名'@'multi_mysqld_exporter主机的IP';\r\n```\r\n---\r\n\r\n### 赞赏与关注公众号【云原生DevOps】加入运维群交流，获取更多...\r\n![](https://starsl.cn/static/img/thanks.png)","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-01T17:11:34.000Z","updatedAt":"2023-07-07T07:42:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/17320"},{"rel":"revisions","href":"/dashboards/17320/revisions"},{"rel":"revision","href":"/dashboards/17320/revisions/3"},{"rel":"download","href":"/dashboards/17320/revisions/3/download"},{"rel":"org","href":"/orgs/starsliao"},{"rel":"images","href":"/dashboards/17320/images"},{"rel":"thumbnails","href":"/dashboards/17320/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11329,"status":1,"statusCode":"active","orgId":319338,"orgSlug":"leafces","orgName":"leafces","slug":"mysql","downloads":1758,"revisionId":15851,"revision":1,"name":"MYSQL监控指标","description":"Mysql-exporter监控","readme":"Mysql-5.7监控","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-12-02T03:36:06.000Z","updatedAt":"2019-12-02T03:36:55.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/11329"},{"rel":"revisions","href":"/dashboards/11329/revisions"},{"rel":"revision","href":"/dashboards/11329/revisions/1"},{"rel":"download","href":"/dashboards/11329/revisions/1/download"},{"rel":"org","href":"/orgs/leafces"},{"rel":"images","href":"/dashboards/11329/images"},{"rel":"thumbnails","href":"/dashboards/11329/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24474,"status":1,"statusCode":"active","orgId":1396856,"orgSlug":"nluecke","orgName":"nluecke","slug":"n8n-system-health-overview","downloads":1152,"revisionId":39155,"revision":1,"name":"n8n System Health Overview","description":"Monitor your n8n workflow automation platform with this comprehensive Node.js runtime and application health dashboard. Tracks CPU, memory, heap usage, garbage collection, event loop performance, and cluster status using n8n's native Prometheus metrics.  \r\n\r\nhttps://github.com/nluecke/grafana-n8n-dashboards/tree/main/dashboards/prometheus","readme":"# n8n System Health Overview Dashboard\r\n\r\nA Grafana dashboard providing real-time observability into the n8n Node.js runtime, system resources, event loop health, memory usage, CPU load, and process stability via Prometheus.\r\n\r\n## Overview\r\n\r\nThis dashboard focuses on low-level system and runtime metrics from n8n’s Prometheus endpoint.  \r\nIt gives production operators a clear view of instance health and performance.\r\n\r\n\r\n## Features\r\n\r\n### Process & Instance Information\r\n- n8n version\r\n- Node.js version\r\n- Instance uptime (with thresholds)\r\n- Leader/follower role (cluster)\r\n- Active workflows\r\n\r\n### CPU & Event Loop Health\r\n- CPU breakdown (total/user/system)\r\n- Event loop latency percentiles (P50/P90/P99)\r\n\r\n### Memory & Heap Usage\r\n- RSS memory usage\r\n- Heap used vs total\r\n- Heap usage percentage\r\n\r\n### Garbage Collection & Runtime\r\n- GC duration by type\r\n- Open file descriptors\r\n- Max file descriptor limit\r\n\r\n## Requirements\r\n\r\n### Software\r\n- Grafana ≥ 8\r\n- Prometheus as datasource\r\n- n8n instance with Prometheus metrics enabled\r\n\r\n### Enable n8n Metrics\r\nSet:\r\n```\r\nN8N_METRICS=true\r\n```\r\n\r\n### Prometheus Scrape Config\r\n```\r\nscrape_configs:\r\n  - job_name: \"n8n\"\r\n    static_configs:\r\n      - targets: [\"your-n8n-instance:5678\"]\r\n    metrics_path: \"/metrics\"\r\n    scrape_interval: 15s\r\n```\r\n\r\n## Installation\r\n\r\n### Option A: JSON Import\r\n1. Download `n8n-system-health-overview.json`\r\n2. Import at **Dashboards → Import**\r\n3. Select your Prometheus datasource\r\n\r\n### Option B: Grafana.com\r\n- Dashboard ID: **24474**\r\n\r\n## Metrics Used\r\n\r\n| Metric | Description |\r\n|--------|-------------|\r\n| n8n_version_info | n8n version |\r\n| n8n_nodejs_version_info | Node.js version |\r\n| n8n_process_start_time_seconds | Process start time |\r\n| n8n_instance_role_leader | Leader status |\r\n| n8n_active_workflow_count | Active workflows |\r\n| n8n_process_cpu_seconds_total | Total CPU |\r\n| n8n_process_cpu_user_seconds_total | User CPU |\r\n| n8n_process_cpu_system_seconds_total | System CPU |\r\n| n8n_nodejs_eventloop_lag_p\\*_seconds | Event loop percentiles |\r\n| n8n_process_resident_memory_bytes | RSS memory |\r\n| n8n_nodejs_heap_size_used_bytes | Heap used |\r\n| n8n_nodejs_heap_size_total_bytes | Heap total |\r\n| n8n_nodejs_gc_duration_seconds_sum | GC duration |\r\n| n8n_process_open_fds | Open file descriptors |\r\n| n8n_process_max_fds | Max file descriptors |\r\n\r\n## Notes\r\nThis dashboard is a system-level complement to the PostgreSQL workflow analytics dashboard.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-11-26T12:29:33.000Z","updatedAt":"2025-11-26T15:06:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24474"},{"rel":"revisions","href":"/dashboards/24474/revisions"},{"rel":"revision","href":"/dashboards/24474/revisions/1"},{"rel":"download","href":"/dashboards/24474/revisions/1/download"},{"rel":"org","href":"/orgs/nluecke"},{"rel":"images","href":"/dashboards/24474/images"},{"rel":"thumbnails","href":"/dashboards/24474/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24475,"status":1,"statusCode":"active","orgId":1396856,"orgSlug":"nluecke","orgName":"nluecke","slug":"n8n-workflow-execution-analytics","downloads":1954,"revisionId":39156,"revision":1,"name":"n8n Workflow & Execution Analytics","description":"Comprehensive analytics dashboard for n8n workflow automation platform. Monitor workflow execution performance, track success rates, identify bottlenecks, and optimize your automation workflows.  \r\n\r\nhttps://github.com/nluecke/grafana-n8n-dashboards/tree/main/dashboards/postgresql","readme":"# n8n Workflow & Execution Analytics Dashboard\r\n\r\nA structured Grafana dashboard for analyzing n8n workflow and execution performance using the PostgreSQL database backend.  \r\nIt complements the system-level Prometheus dashboard by focusing on workflow quality, throughput, errors, and trends.\r\n\r\n## Overview\r\n\r\nThis dashboard provides analytical insights into your n8n automation system, including workflow statistics, execution performance, error hotspots, queue depth, and long-running executions.\r\n\r\n\r\n## Features\r\n\r\n### Executive Summary\r\n- Total workflows\r\n- Enabled (active) workflows\r\n- Executions in time range\r\n- Success rate\r\n- Failed executions\r\n- Currently running executions\r\n\r\n### Execution Performance Trends\r\n- Executions over time by status\r\n- P50/P95/P99 execution duration\r\n- 24h latency snapshot: avg, max, median, P95\r\n\r\n### Workflow Quality Insights\r\n- Most executed workflows\r\n- Daily success rate trend\r\n- Workflows with most failures\r\n- Slowest workflows\r\n\r\n### Resource & Queue Management\r\n- Execution queue depth\r\n- Real-time queue\r\n- Long-running executions\r\n- Recently updated workflows\r\n- Workflows by tag\r\n- Recent execution errors\r\n\r\n## Requirements\r\n\r\n### Software\r\n- Grafana ≥ 9 (tested on Grafana Cloud & Grafana 12)\r\n- n8n with PostgreSQL backend\r\n- PostgreSQL ≥ 12\r\n\r\n### Grafana Datasource\r\n- Built-in PostgreSQL datasource\r\n\r\n### Required Database Tables\r\n- `workflow_entity`\r\n- `execution_entity`\r\n- `tag_entity`\r\n- `workflows_tags`\r\n\r\n## Installation\r\n\r\n### 1. Configure PostgreSQL Datasource\r\nIn Grafana:\r\n\r\n1. Go to **Configuration → Data Sources → Add data source**\r\n2. Select **PostgreSQL**\r\n3. Configure:\r\n```\r\nHost: <your-db-host>:5432\r\nDatabase: n8n\r\nUser: readonly-user\r\nPassword: ********\r\nSSL Mode: require\r\n```\r\n4. Save and note the datasource UID.\r\n\r\n### 2. Import the Dashboard\r\n\r\n#### Option A: JSON Import\r\n1. Download `n8n-workflow-execution-analytics.json`\r\n2. Go to **Dashboards → Import**\r\n3. Upload JSON\r\n4. Select your PostgreSQL datasource\r\n\r\n#### Option B: Grafana.com\r\n- Dashboard ID: **24475**\r\n\r\n## Metrics Used\r\n\r\nThis dashboard uses SQL queries directly against the PostgreSQL schema generated by n8n.\r\n\r\nMain datasets:\r\n- Workflow metadata (enabled, tags, updated)\r\n- Execution logs (status, timings, errors)\r\n- Execution duration statistics\r\n- Queue depth & running jobs\r\n\r\n## Notes\r\n\r\nThis dashboard is intended for workflow-level observability and pairs naturally with the system-level Prometheus 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On NAS Host\r\n   * Following exporters can be installed on truenas scale host:\r\n       * prometheus-libvirt-exporter (Default port 9177)\r\n       * prometheus-node-exporter (Default port 9100)\r\n       * prometheus-node-exporter-collectors\r\n       * prometheus-ipmi-exporter (Default Port: 9290)\r\n   * Disable default filesystem metrics from node-exporter by editing /etc/default/prometheus-node-exporter\r\n      ```\r\n      ARGS=\"--no-collector.filesystem\"\r\n      ```\r\n   * add [Zfs Zpool](https://raw.githubusercontent.com/prometheus-community/node-exporter-textfile-collector-scripts/master/zfs_zpool.sh) script to /usr/share/prometheus-node-exporter-collectors and make it executable\r\n   * Create systemd files for data collections\r\n     * /lib/systemd/system/prometheus-node-exporter-zfs.service\r\n        ```\r\n        [Unit]\r\n        Description=Collect ZFS Zpool metrics for prometheus-node-exporter\r\n\r\n        [Service]\r\n        Type=oneshot\r\n        Environment=TMPDIR=/var/lib/prometheus/node-exporter\r\n        ExecStart=/bin/bash -c \"/usr/share/prometheus-node-exporter-collectors/zfs_zpool.sh | sponge /var/lib/prometheus/node-exporter/zfs_zpool.prom\"\r\n        ```\r\n     * /lib/systemd/system/prometheus-node-exporter-zfs.timer\r\n        ```\r\n        [Unit]\r\n        Description=Run ZFS metrics collection every 15 minutes\r\n        ConditionPathExists=/usr/sbin/zfs\r\n        ConditionPathExists=/usr/sbin/zpool\r\n\r\n        [Timer]\r\n        OnBootSec=0\r\n        OnUnitActiveSec=15min\r\n\r\n        [Install]\r\n        WantedBy=timers.target\r\n        ```\r\n       Configure IPMI\r\n        ```\r\n        modules:\r\n          default:\r\n            collectors:\r\n              - bmc\r\n              - ipmi\r\n              - dcmi\r\n              - chassis\r\n              - sel\r\n              - sel-events\r\n            exclude_sensor_ids:\r\n              - 2\r\n              - 29\r\n              - 32\r\n            sel_events:\r\n              - name: correctable_memory_error\r\n                regex: Correctable memory error.*\r\n            collector_cmd:\r\n              ipmi: /usr/bin/sudo\r\n              sel: /usr/bin/sudo\r\n              bmc: /usr/bin/sudo\r\n              chassis: /usr/bin/sudo\r\n              dcmi: /usr/bin/sudo\r\n              sel-events: /usr/bin/sudo\r\n            custom_args:\r\n              ipmi:\r\n              - \"/usr/sbin/ipmimonitoring\"\r\n              sel:\r\n              - \"/usr/sbin/ipmi-sel\"\r\n              bmc:\r\n              - \"/usr/sbin/bmc-info\"\r\n              dcmi:\r\n              - \"/usr/sbin/ipmi-dcmi\"\r\n              chassis:\r\n              - \"/usr/sbin/ipmi-chassis\"\r\n              sel-events:\r\n              - \"/usr/sbin/ipmi-sel\"\r\n          ```\r\n1. On the Prometheus Node:\r\n   * Add Scrape Config to Prometheus\r\n    ```\r\n          - job_name: truenas\r\n            static_configs:\r\n            - targets: \r\n                - <NAS IP/fqdn>:9100 (Node Exporter)\r\n                - <NAS IP/fqdn>:9177 (LIbvirt if using libvirt)\r\n                - <NAS IP/fqdn>:9290 (IPMI if available)\r\n    ```\r\n\r\n","collectorType":"nodeExporter","collectorConfig":"\"--no-collector.filesystem\"","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-09-15T17:51:38.000Z","updatedAt":"2025-01-24T10:40:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19580"},{"rel":"revisions","href":"/dashboards/19580/revisions"},{"rel":"revision","href":"/dashboards/19580/revisions/10"},{"rel":"download","href":"/dashboards/19580/revisions/10/download"},{"rel":"org","href":"/orgs/iaacautomation"},{"rel":"images","href":"/dashboards/19580/images"},{"rel":"thumbnails","href":"/dashboards/19580/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23701,"status":1,"statusCode":"active","orgId":262824,"orgSlug":"robertvojcik","orgName":"Robert Vojcik","slug":"nas","downloads":207,"revisionId":37714,"revision":1,"name":"NAS","description":"Custom DIY NAS storage project.","readme":"This is custom DIY NAS storage project Dashboard.\r\n\r\nUsing telegraf on Ubuntu Server LTS. \r\n\r\nThere are two custom scripts which is required for custom metrcs collecting raid status (mdraid and zfs) and disk power status.\r\n\r\nAll scripts are available on https://github.com/rvojcik/nas-diy-resources/tree/main/scripts","collectorType":"Telegraf","collectorConfig":"[[inputs.cpu]]\r\n  percpu = true\r\n  totalcpu = true\r\n  collect_cpu_time = false\r\n  report_active = false\r\n[[inputs.disk]]\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\r\n[[inputs.diskio]]\r\n[[inputs.kernel]]\r\n[[inputs.mem]]\r\n[[inputs.processes]]\r\n[[inputs.swap]]\r\n[[inputs.system]]\r\n [[inputs.docker]]\r\n   endpoint = \"unix:///var/run/docker.sock\"\r\n [[inputs.linux_sysctl_fs]]\r\n [[inputs.net]]\r\n   interfaces = [\"enp1s0\",\"enp2s0\",\"enp3s0\",\"enp4s0\"]\r\n [[inputs.netstat]]\r\n [[inputs.nstat]]\r\n [[inputs.zfs]]\r\n [[inputs.sensors]]\r\n [[inputs.postfix]]\r\n [[inputs.exec]]\r\n   commands = [\"/usr/local/bin/raid_monitor.sh\"]\r\n   data_format = \"influx\"\r\n   interval = \"30s\"\r\n   timeout = \"10s\"\r\n[[inputs.exec]]\r\n  ## Commands array\r\n  commands = [\"/usr/local/bin/disk-state-status.sh\"]\r\n  ## Timeout for each command to complete\r\n  timeout = \"30s\"\r\n  ## Data format to consume\r\n  data_format = \"influx\"\r\n  ## Interval to run the command\r\n  interval = \"60s\"\r\n  ## Name suffix to add to measurement name\r\n  name_suffix = \"\"","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-07-13T19:00:32.000Z","updatedAt":"2025-07-13T19:08:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23701"},{"rel":"revisions","href":"/dashboards/23701/revisions"},{"rel":"revision","href":"/dashboards/23701/revisions/1"},{"rel":"download","href":"/dashboards/23701/revisions/1/download"},{"rel":"org","href":"/orgs/robertvojcik"},{"rel":"images","href":"/dashboards/23701/images"},{"rel":"thumbnails","href":"/dashboards/23701/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":1109,"status":1,"statusCode":"active","orgId":13847,"orgSlug":"micelshima","orgName":"Mikel V.","slug":"nas-storage-monitoring","downloads":1399,"revisionId":1562,"revision":1,"name":"NAS Storage Monitoring","description":"File Servers Storage Monitoring","readme":"Collector is a powershell script scheduled in Windows server. I have uploaded it here:\r\nhttps://github.com/micelshima/InfluxDB-Powershell-Module","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2016-12-09T09:44:56.000Z","updatedAt":"2017-01-25T22:14:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1109"},{"rel":"revisions","href":"/dashboards/1109/revisions"},{"rel":"revision","href":"/dashboards/1109/revisions/1"},{"rel":"download","href":"/dashboards/1109/revisions/1/download"},{"rel":"org","href":"/orgs/micelshima"},{"rel":"images","href":"/dashboards/1109/images"},{"rel":"thumbnails","href":"/dashboards/1109/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":5891,"status":1,"statusCode":"active","orgId":103790,"orgSlug":"dabster","orgName":"Dmitriy Onishko","slug":"nats","downloads":676,"revisionId":8003,"revision":1,"name":"NATS","description":"Collection of NATS metrics https://nats.io/ using telegraf","readme":"Start the NATS server with monitoring enabled.  \r\ngnatsd -m 8222\r\n","collectorType":"Telegraf","collectorConfig":"#https://github.com/influxdata/telegraf/tree/master/plugins/inputs/httpjson  \r\n\r\n[[inputs.httpjson]]  \r\nname = \"natsvarz\"  \r\n   servers = [  \r\n     \"http://localhost:8222/varz\"  \r\n   ]  \r\n   method = \"GET\"  \r\n","collectorPluginList":"httpjson","datasource":"InfluxDB","privacy":"public","createdAt":"2018-05-01T10:00:57.000Z","updatedAt":"2018-05-02T13:29:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5891"},{"rel":"revisions","href":"/dashboards/5891/revisions"},{"rel":"revision","href":"/dashboards/5891/revisions/1"},{"rel":"download","href":"/dashboards/5891/revisions/1/download"},{"rel":"org","href":"/orgs/dabster"},{"rel":"images","href":"/dashboards/5891/images"},{"rel":"thumbnails","href":"/dashboards/5891/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14862,"status":1,"statusCode":"active","orgId":530148,"orgSlug":"armenotech","orgName":"Armenotech","slug":"nats-jetstream","downloads":18706,"revisionId":22140,"revision":2,"name":"NATS JetStream","description":"NATS JetStream Dashboard","readme":"Dashboard to dispaly NATS JetStream metrics from prometheus-nats-exporter (https://github.com/nats-io/prometheus-nats-exporter)\n\nThis is a clone https://grafana.com/grafana/dashboards/14725 by andyg\nBut in this version I changed some metrics names ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-11T08:43:53.000Z","updatedAt":"2021-08-11T08:54:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14862"},{"rel":"revisions","href":"/dashboards/14862/revisions"},{"rel":"revision","href":"/dashboards/14862/revisions/2"},{"rel":"download","href":"/dashboards/14862/revisions/2/download"},{"rel":"org","href":"/orgs/armenotech"},{"rel":"images","href":"/dashboards/14862/images"},{"rel":"thumbnails","href":"/dashboards/14862/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14725,"status":1,"statusCode":"active","orgId":522441,"orgSlug":"andyg","orgName":"andyg","slug":"nats-jetstream","downloads":7869,"revisionId":23660,"revision":2,"name":"NATS JetStream","description":"NATS JetStream Dashboard.","readme":"Dashboard to dispaly NATS JetStream metrics from prometheus-nats-exporter (https://github.com/nats-io/prometheus-nats-exporter)\r\n\r\nEvery effort will be made to keep this version updated for easily importing into Grafana directly, but the source of truth is stored in the [Prometheus-nats-exporter](https://github.com/nats-io/prometheus-nats-exporter) repository on GitHub, specifically:  \r\n[https://github.com/nats-io/prometheus-nats-exporter/blob/main/walkthrough/grafana-jetstream-dash.json](https://github.com/nats-io/prometheus-nats-exporter/blob/main/walkthrough/grafana-jetstream-dash.json)\r\n\r\n\r\n***\r\n**Note for Helm Deployments:** When deploying the Prometheus NATS exporter via the standard Helm charts, the metrics prefix is [overridden](https://github.com/nats-io/k8s/blob/13bb6fc04855f43dd4350f2f691512d4a71ccad5/helm/charts/nats/templates/statefulset.yaml#L574) from `gnatsd` & `jetstream` to `nats`. You can either simply do a find & replace for these prefixes and replace them in the dashboard, or use the `grafana-jetstream-dash-helm.json` file (where this has been done already).dashboard, or use the [grafana-jetstream-dash-helm.json](https://github.com/nats-io/prometheus-nats-exporter/blob/main/walkthrough/grafana-jetstream-dash-helm.json) file (where this has been done already).\r\n***","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-07-16T11:06:18.000Z","updatedAt":"2022-02-09T06:19:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14725"},{"rel":"revisions","href":"/dashboards/14725/revisions"},{"rel":"revision","href":"/dashboards/14725/revisions/2"},{"rel":"download","href":"/dashboards/14725/revisions/2/download"},{"rel":"org","href":"/orgs/andyg"},{"rel":"images","href":"/dashboards/14725/images"},{"rel":"thumbnails","href":"/dashboards/14725/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23983,"status":1,"statusCode":"active","orgId":1300892,"orgSlug":"christianlccareer","orgName":"christianlccareer","slug":"nats-jetstream","downloads":245,"revisionId":38230,"revision":1,"name":"NATS JetStream Helm","description":"https://github.com/nats-io/prometheus-nats-exporter/blob/main/walkthrough/grafana-jetstream-dash-helm.json","readme":"https://github.com/nats-io/prometheus-nats-exporter/blob/main/walkthrough/grafana-jetstream-dash-helm.json","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-08-31T08:09:30.000Z","updatedAt":"2025-08-31T08:20:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23983"},{"rel":"revisions","href":"/dashboards/23983/revisions"},{"rel":"revision","href":"/dashboards/23983/revisions/1"},{"rel":"download","href":"/dashboards/23983/revisions/1/download"},{"rel":"org","href":"/orgs/christianlccareer"},{"rel":"images","href":"/dashboards/23983/images"},{"rel":"thumbnails","href":"/dashboards/23983/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2279,"status":1,"statusCode":"active","orgId":61676,"orgSlug":"colinsullivan","orgName":"Colin Sullivan","slug":"nats-servers","downloads":18511,"revisionId":2990,"revision":1,"name":"NATS Server Dashboard","description":"NATS Server Dashboard for use with the Prometheus NATS Exporter","readme":"# The NATS Server Dashboard\r\n\r\n [NATS](http://www.nats.io/) acts as a central nervous system for distributed systems at scale, such as mobile devices, IoT networks, and cloud native infrastructure.  This is a dashboard for use with the [Prometheus NATS Exporter](https://github.com/nats-io/prometheus-nats-exporter), which provides NATS server metrics through Prometheus.  \r\n\r\nMetrics such as CPU utilization, memory usage, throughput, connection counts, and subscription counts are displayed.  Multiple NATS servers can be monitored in the same dashboard to provide a complete view of your NATS server cluster.\r\n\r\nThis is also a great start to develop your own custom NATS dashboard.\r\n\r\n## Walkthrough\r\nA walkthrough setting up Grafana, NATS,  and Prometheus can be found [here](https://github.com/nats-io/prometheus-nats-exporter/tree/master/walkthrough).  \r\n\r\n## Issues and Suggestions\r\nPlease report any issues, suggestions, or feature requests through github, by creating an issue [here](https://github.com/nats-io/prometheus-nats-exporter/issues/new).\r\n\r\n## More Information\r\nVisit [http://nats.io](http://nats.io) for additional information.\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-05-16T21:08:38.000Z","updatedAt":"2017-05-17T15:18:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2279"},{"rel":"revisions","href":"/dashboards/2279/revisions"},{"rel":"revision","href":"/dashboards/2279/revisions/1"},{"rel":"download","href":"/dashboards/2279/revisions/1/download"},{"rel":"org","href":"/orgs/colinsullivan"},{"rel":"images","href":"/dashboards/2279/images"},{"rel":"thumbnails","href":"/dashboards/2279/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13707,"status":1,"statusCode":"active","orgId":296033,"orgSlug":"hakob","orgName":"hakob","slug":"nats-server-dashboard","downloads":23409,"revisionId":20006,"revision":1,"name":"NATS Server Dashboard","description":"NATS Server Dashboard for use with built-in Prometheus NATS Exporter into 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NATS Streaming memcached proxy ","readme":"Dashboard shows online statistic from [NATS Streaming proxy](https://github.com/kshvakov/nats-streaming-proxy)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-02-28T17:29:44.000Z","updatedAt":"2019-03-05T10:13:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9860"},{"rel":"revisions","href":"/dashboards/9860/revisions"},{"rel":"revision","href":"/dashboards/9860/revisions/1"},{"rel":"download","href":"/dashboards/9860/revisions/1/download"},{"rel":"org","href":"/orgs/kshvakov"},{"rel":"images","href":"/dashboards/9860/images"},{"rel":"thumbnails","href":"/dashboards/9860/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18038,"status":1,"statusCode":"active","orgId":750571,"orgSlug":"alexlobanov","orgName":"alexlobanov","slug":"navidrome","downloads":1537,"revisionId":27696,"revision":1,"name":"Navidrome","description":"Main navidrome dashboard. Most of exposed metrics are here","readme":"Most of metrics exposed by [Navidrome](https://github.com/navidrome/navidrome)\r\n\r\nHighlights:\r\n- Multiple instances support\r\n- Alerts-friendly queries\r\n- Most of exposed metrics are here","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-04T21:37:19.000Z","updatedAt":"2023-02-04T21:44:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18038"},{"rel":"revisions","href":"/dashboards/18038/revisions"},{"rel":"revision","href":"/dashboards/18038/revisions/1"},{"rel":"download","href":"/dashboards/18038/revisions/1/download"},{"rel":"org","href":"/orgs/alexlobanov"},{"rel":"images","href":"/dashboards/18038/images"},{"rel":"thumbnails","href":"/dashboards/18038/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24489,"status":1,"statusCode":"active","orgId":1603710,"orgSlug":"grafanasterling018","orgName":"grafanasterling018","slug":"navidrome","downloads":94,"revisionId":39188,"revision":1,"name":"Navidrome","description":"Navidrome dashboard. Exposes system metrics, as well as Subsonic client requests and plugin usage.","readme":"This displays Prometheus metrics collected from [Navidrome](https://www.navidrome.org).\r\n\r\nMetrics displayed:\r\n\r\n- Media stats (tracks, albums, artists, scan stats)\r\n- Resource usage (net tx/rx, cpu, memory, threads, descriptors)\r\n- Subsonic API usage (count, latency, errors)\r\n- Plugin usage\r\n\r\nTo enable in Navidrome, add the following to your TOML configuration\r\n```\r\nPrometheus.Enabled = true\r\n# Recommended\r\nPrometheus.Password = \"replace me with your password\"\r\n```\r\n\r\nIf a password is specified, then you must scrape the endpoint using HTTP basic authentication. The username is `navidrome`","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-11-29T22:54:14.000Z","updatedAt":"2025-11-29T23:19:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24489"},{"rel":"revisions","href":"/dashboards/24489/revisions"},{"rel":"revision","href":"/dashboards/24489/revisions/1"},{"rel":"download","href":"/dashboards/24489/revisions/1/download"},{"rel":"org","href":"/orgs/grafanasterling018"},{"rel":"images","href":"/dashboards/24489/images"},{"rel":"thumbnails","href":"/dashboards/24489/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24397,"status":1,"statusCode":"active","orgId":1590895,"orgSlug":"lucascott","orgName":"lucascott","slug":"navidrome-observability","downloads":586,"revisionId":39025,"revision":1,"name":"Navidrome Observability","description":"Navidrome music server observability dashboard","readme":"Observability and statistics dashboard for self-hosted [Navidrome](https://www.navidrome.org/) music servers.\r\nThe dashboard can be directly integrated with Navidrome metrics collected via Prometheus using the [official docs configuration guidelines](https://www.navidrome.org/docs/usage/monitoring/#configuration).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-11-16T17:19:10.000Z","updatedAt":"2025-11-17T00:09:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24397"},{"rel":"revisions","href":"/dashboards/24397/revisions"},{"rel":"revision","href":"/dashboards/24397/revisions/1"},{"rel":"download","href":"/dashboards/24397/revisions/1/download"},{"rel":"org","href":"/orgs/lucascott"},{"rel":"images","href":"/dashboards/24397/images"},{"rel":"thumbnails","href":"/dashboards/24397/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19330,"status":1,"statusCode":"active","orgId":920649,"orgSlug":"smarttrackja","orgName":"smarttrackja","slug":"navixy-dashboard","downloads":295,"revisionId":29638,"revision":1,"name":"Navixy Dashboard","description":"Fuel Dashboard","readme":"Fuel Dashboard","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"JSON API","privacy":"public","createdAt":"2023-08-10T04:54:52.000Z","updatedAt":"2023-08-10T05:10:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19330"},{"rel":"revisions","href":"/dashboards/19330/revisions"},{"rel":"revision","href":"/dashboards/19330/revisions/1"},{"rel":"download","href":"/dashboards/19330/revisions/1/download"},{"rel":"org","href":"/orgs/smarttrackja"},{"rel":"images","href":"/dashboards/19330/images"},{"rel":"thumbnails","href":"/dashboards/19330/thumbnails"}],"datasourceSlugs":["marcusolsson-json-datasource"]},{"id":25273,"status":1,"statusCode":"active","orgId":1740116,"orgSlug":"ingero","orgName":"ingero","slug":"nccl-stragglers-distributed-training-slowdown-finder-multi-gpu","downloads":4,"revisionId":40704,"revision":1,"name":"NCCL Stragglers: distributed training slowdown finder (multi-GPU)","description":"Multi-node NCCL straggler dashboard. Top-N nodes by collective byte volume, per-op_type bandwidth (ncclAllReduce, ncclAllGather, ncclReduceScatter, ncclBcast, ncclSend/Recv), barrier-event ratio, per-rank rates. Find which node is dragging down distributed PyTorch / FSDP / DeepSpeed training. eBPF uprobes on libnccl.so.","readme":"# NCCL Stragglers: distributed training slowdown finder (multi-GPU)\r\n\r\n  Find which node is dragging down distributed PyTorch / FSDP / DeepSpeed training by surfacing per-node NCCL collective-op volume,\r\n  bandwidth, and barrier-wait ratio across the cluster.\r\n\r\n  ## What it shows\r\n\r\n  - Cluster-wide totals over the last hour: ncclAllReduce count, total NCCL bytes, NCCL-loaded processes, distinct libnccl versions.\r\n  - Event volume and byte volume broken out per collective op type (`ncclAllReduce`, `ncclAllGather`, `ncclReduceScatter`,\r\n  `ncclBcast`, `ncclSend` / `ncclRecv`).\r\n  - Per-node collective rate and per-op-type bandwidth as time series.\r\n  - Barrier-event ratio per op type (a fast read on synchronization tax).\r\n  - Top 10 nodes by NCCL byte volume in the last hour, ranked - the candidate straggler list.\r\n\r\n  ## How it helps\r\n\r\n  Stragglers in distributed training are usually invisible to per-node GPU dashboards. Each rank's GPU looks busy, but one rank is\r\n  consistently late to the collective, and every other rank waits at the barrier. This dashboard sorts on the right axis (per-node\r\n  byte volume + barrier-wait ratio) so the laggard is the row that stands out.\r\n\r\n  Typical use:\r\n\r\n  1. Cluster overview tells you training throughput dropped.\r\n  2. Open this dashboard, scope to the same time range.\r\n  3. The \"Top 10 nodes by NCCL byte volume\" table and the per-node \"Collective rate per op_type\" panel surface the outlier rank.\r\n  4. Drill into that node with the \"Per-Node Drilldown\" dashboard (Grafana ID 25276).\r\n\r\n  ## Requirements\r\n\r\n  - **Data source:** Prometheus, scraping the Ingero agent's `/metrics` endpoint on every node in the training cluster.\r\n  - **Agent:** Ingero v0.15 or newer. Older agents do not expose the `gpu_nccl_*` metric family.\r\n  - **Metrics consumed:** `gpu_nccl_collective_count`, `gpu_nccl_collective_bytes_total`, `gpu_nccl_collective_barrier_events`,\r\n  `gpu_nccl_processes_total`, `gpu_nccl_process_loaded`. All emitted by the agent's libnccl.so uprobes when an NCCL-using process is\r\n  3. The \"Top 10 nodes by NCCL byte volume\" table and the per-node \"Collective rate per op_type\" panel surface the outlier rank.\r\n  4. Drill into that node with the \"Per-Node Drilldown\" dashboard (Grafana ID 25276).\r\n\r\n  ## Requirements\r\n\r\n  - **Data source:** Prometheus, scraping the Ingero agent's `/metrics` endpoint on every node in the training cluster.\r\n  - **Agent:** Ingero v0.15 or newer. Older agents do not expose the `gpu_nccl_*` metric family.\r\n  - **Metrics consumed:** `gpu_nccl_collective_count`, `gpu_nccl_collective_bytes_total`, `gpu_nccl_collective_barrier_events`,\r\n  `gpu_nccl_processes_total`, `gpu_nccl_process_loaded`. All emitted by the agent's libnccl.so uprobes when an NCCL-using process is\r\n  detected on the host.\r\n  - **Variables:** `$instance` (multi-value, populated from any of the metrics above).\r\n\r\n  ## How to install\r\n\r\n  In Grafana, **Dashboards → New → Import**, paste the dashboard ID, pick your Prometheus datasource.\r\n\r\n  Or, with the Grafana operator's dashboard sidecar:\r\n\r\n      kubectl create configmap ingero-nccl-stragglers \\\r\n        --from-file=cluster-02-nccl-stragglers.json \\\r\n        --namespace=monitoring\r\n      kubectl label configmap ingero-nccl-stragglers grafana_dashboard=1\r\n\r\n  The dashboard JSON is Apache-2.0 and lives at\r\n  https://github.com/ingero-io/ingero-grafana-app/blob/main/src/dashboards/cluster-02-nccl-stragglers.json. Forks and PRs welcome.\r\n\r\n  ## Notes\r\n\r\n  - NCCL tracing is via eBPF uprobes on `libnccl.so`; the agent attaches when it sees an NCCL-linked process and detaches on exit.\r\n  There is no library-side instrumentation and no NCCL build flag required.\r\n  - Panels stay empty on hosts that do not load libnccl (inference-only nodes, control-plane nodes). That is expected.\r\n  - Barrier-event ratio is a heuristic, not a kernel-level wait timer. A high ratio means a high share of collective ops emit a\r\n  barrier event; treat it as a relative signal across nodes in the same job, not an absolute latency.\r\n\r\n  ## Related dashboards\r\n\r\n  - **Ingero Cluster: Overview** (25271) - start here when training throughput drops.\r\n  - **Ingero Cluster: Per-Node Drilldown** (25276) - drill into the candidate straggler this dashboard surfaces.\r\n  - **Ingero Cluster: Memcpy Bandwidth** (25274) - rule out a data-pipeline bottleneck on the candidate node before blaming NCCL.\r\n\r\n  ## License\r\n\r\n  Apache-2.0. 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ONTAP v9.13 with InfluxDB 2.0.0","readme":"Based on https://grafana.com/grafana/dashboards/14179-grafana-dashboard-for-netapp-ontap-v9-8/\r\nCredits to @jorgedelacruz\r\n\r\nPlease use the script provided by Jorge in template ID 14179\r\n\r\nMake some adjustments for netapp_cluster_metrics\r\n\r\n##\r\n# NetApp ONTAP Cluster Metrics\r\n##\r\nnetappONTAPUrl=\"https://$netappRestServer/api/cluster/metrics?order_by=timestamp%20desc&fields=*&interval=1h&max_records=$netappMetrics\"\r\nnetappClustermetricsUrl=$(curl -X GET \"$netappONTAPUrl\" -H \"Accept:application/json\" -H  \"authorization: Basic $netappAuth\" -H \"Content-Length: 0\" 2>&1 -k --silent)\r\n\r\ndeclare -i arraymetrics=0\r\nfor row in $(echo \"$netappClustermetricsUrl\" | jq -r '.records[].timestamp'); do\r\n\r\n    netappClusterTZ=$(echo \"$netappClustermetricsUrl\" | jq --raw-output \".records[$arraymetrics].timestamp\")\r\n    netappClustertimestamp=$(date -d \"$netappClusterTZ\" +\"%s\")\r\n    netappClusterlatencyread=$(echo \"$netappClustermetricsUrl\" | jq --raw-output \".records[$arraymetrics].latency.read\")\r\n    netappClusterlatencywrite=$(echo \"$netappClustermetricsUrl\" | jq --raw-output \".records[$arraymetrics].latency.write\")\r\n    netappClusterlatencyother=$(echo \"$netappClustermetricsUrl\" | jq --raw-output \".records[$arraymetrics].latency.other\")\r\n    netappClusterlatencytotal=$(echo \"$netappClustermetricsUrl\" | jq --raw-output \".records[$arraymetrics].latency.total\")\r\n    netappClusteriopsread=$(echo \"$netappClustermetricsUrl\" | jq --raw-output \".records[$arraymetrics].iops.read\")\r\n    netappClusteriopswrite=$(echo \"$netappClustermetricsUrl\" | jq --raw-output \".records[$arraymetrics].iops.write\")\r\n    netappClusteriopsother=$(echo \"$netappClustermetricsUrl\" | jq --raw-output \".records[$arraymetrics].iops.other\")\r\n    netappClusteriopstotal=$(echo \"$netappClustermetricsUrl\" | jq --raw-output \".records[$arraymetrics].iops.total\")\r\n    netappClusterthroughputread=$(echo \"$netappClustermetricsUrl\" | jq --raw-output \".records[$arraymetrics].throughput.read\")\r\n    netappClusterthroughputwrite=$(echo \"$netappClustermetricsUrl\" | jq --raw-output \".records[$arraymetrics].throughput.write\")\r\n    netappClusterthroughputother=$(echo \"$netappClustermetricsUrl\" | jq --raw-output \".records[$arraymetrics].throughput.other\")\r\n    netappClusterthroughputtotal=$(echo \"$netappClustermetricsUrl\" | jq --raw-output \".records[$arraymetrics].throughput.total\")\r\n\r\n    ##Un-comment the following echo for debugging\r\n    #echo \"netapp_cluster_metrics,clustername=$netappClusterName latencyRead=$netappClusterlatencyread,latencyWrite=$netappClusterlatencywrite,latencyOther=$netappClusterlatencyother,latencyTotal=$netappClusterlatencytotal,iopsRead=$netappClusteriopsread,iopsWrite=$netappClusteriopswrite,iopsOther=$netappClusteriopsother,iopsTotal=$netappClusteriopsread,throughputRead=$netappClusterthroughputread,throughputWrite=$netappClusterthroughputwrite,throughputOther=$netappClusterthroughputother,throughputTotal=$netappClusterthroughputtotal $netappClustertimestamp\"\r\n\r\n    ##Comment the Curl while debugging\r\n    echo \"Writing netapp_cluster_metrics to InfluxDB\"\r\n    #curl -i -XPOST \"$netappInfluxDBURL:$netappInfluxDBPort/write?precision=s&db=$netappInfluxDB\" -u \"$netappInfluxDBUser:$netappInfluxDBPassword\" \\\r\n    curl -i -XPOST \"$netappInfluxDBURL:$netappInfluxDBPort/api/v2/write?org=pti&bucket=$netappInfluxDBBucket&precision=ns\" \\\r\n            --header \"Authorization: Token 98iu5fSX-H0pergOj_ezQU-aMofd1jpVHlQrNliuhzqun9Yv0UUHNg0nCY1N3P9N4WQmH6sZ5r2914iNGzxmWw==\" \\\r\n            --header \"Content-Type: text/plain; charset=utf-8\" \\\r\n            --header \"Accept: application/json\" \\\r\n\t    --data-binary \"netapp_cluster_metrics,clustername=$netappClusterName latencyRead=$netappClusterlatencyread,latencyWrite=$netappClusterlatencywrite,latencyOther=$netappClusterlatencyother,latencyTotal=$netappClusterlatencytotal,iopsRead=$netappClusteriopsread,iopsWrite=$netappClusteriopswrite,iopsOther=$netappClusteriopsother,iopsTotal=$netappClusteriopsread,throughputRead=$netappClusterthroughputread,throughputWrite=$netappClusterthroughputwrite,throughputOther=$netappClusterthroughputother,throughputTotal=$netappClusterthroughputtotal\"\r\n\r\n    arraymetrics=$arraymetrics+1\r\ndone","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-12-28T04:18:06.000Z","updatedAt":"2023-12-28T04:28:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20219"},{"rel":"revisions","href":"/dashboards/20219/revisions"},{"rel":"revision","href":"/dashboards/20219/revisions/1"},{"rel":"download","href":"/dashboards/20219/revisions/1/download"},{"rel":"org","href":"/orgs/edongerock"},{"rel":"images","href":"/dashboards/20219/images"},{"rel":"thumbnails","href":"/dashboards/20219/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21552,"status":1,"statusCode":"active","orgId":855967,"orgSlug":"icinfra","orgName":"icinfra","slug":"netapp-ontap-with-influxdb","downloads":290,"revisionId":33644,"revision":1,"name":"NetApp ONTAP with InfluxDB","description":"Grafana Dashboard for NetApp ONTAP v9.14 with 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It only works with [Netatmo](https://www.netatmo.com/) Energy (Comfort) products: [Thermostat](https://www.netatmo.com/en-eu/smart-thermostat), Valves, etc. It has been tested with Netatmo Smart Thermostat.\r\n\r\nImages are based on the work of tipok and his [netatmo_energy_exporter](https://github.com/tipok/netatmo_energy_exporter). \r\n\r\n# How to run\r\n## Credentials\r\nIn order to access the Netatmo data you will need an active Netatmo account and you'll need to create Client ID, Client Secret and Refresh Token on [Netatmo Developer Portal](https://dev.netatmo.com/).\r\n\r\n## Easiest way to run it\r\n\r\n    docker run -d -p 2112:2112 vremenar/netatmo-energy-exporter:arm64 \\\r\n       --client-id=${CLIENT_ID} --client-secret=${CLIENT_SECRET} \\\r\n       --username=${USERNAME} --password=${PASSWORD} \\\r\n       --refresh-token=${REFRESH_TOKEN}\r\n\r\n## Docker Compose\r\n\r\n    services:\r\n      netatmo-exporter:\r\n        container_name: netatmo-exporter\r\n        image: vremenar/netatmo-energy-exporter:arm64\r\n        command:\r\n          - '--client-id=${CLIENT_ID}' \r\n          - '--client-secret=${CLIENT_SECRET}'\r\n          - '--refresh-token=${REFRESH_TOKEN}'\r\n          - '--username=${USERNAME}'\r\n          - '--password=${PASSWORD}'\r\n        logging:\r\n          driver: \"json-file\"\r\n          options:\r\n            max-size: \"5k\"\r\n            max-file: \"5\"\r\n        healthcheck:\r\n          test: [\"CMD\", \"wget\", \"--spider\", \"http://localhost:2112/metrics\"]\r\n          interval: 300s\r\n          retries: 5\r\n          timeout: 10s\r\n        restart: 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The dashboard will be refined over time as it gets used.\r\n\r\nForked from this dashboard with a lot of fixes (renamed old metrics, fixed filters): https://grafana.com/grafana/dashboards/7107","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-06-30T13:10:24.000Z","updatedAt":"2020-07-01T12:11:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/12555"},{"rel":"revisions","href":"/dashboards/12555/revisions"},{"rel":"revision","href":"/dashboards/12555/revisions/1"},{"rel":"download","href":"/dashboards/12555/revisions/1/download"},{"rel":"org","href":"/orgs/lonsofore"},{"rel":"images","href":"/dashboards/12555/images"},{"rel":"thumbnails","href":"/dashboards/12555/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6820,"status":1,"statusCode":"active","orgId":22617,"orgSlug":"justinsane","orgName":"justinsane","slug":"netdata","downloads":379,"revisionId":9301,"revision":1,"name":"netdata","description":"Dashboard for netdata","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-07-05T17:24:52.000Z","updatedAt":"2018-07-05T17:29:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6820"},{"rel":"revisions","href":"/dashboards/6820/revisions"},{"rel":"revision","href":"/dashboards/6820/revisions/1"},{"rel":"download","href":"/dashboards/6820/revisions/1/download"},{"rel":"org","href":"/orgs/justinsane"},{"rel":"images","href":"/dashboards/6820/images"},{"rel":"thumbnails","href":"/dashboards/6820/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17019,"status":1,"statusCode":"active","orgId":712255,"orgSlug":"tsunamaru","orgName":"tsunamaru","slug":"netdata","downloads":372,"revisionId":26093,"revision":1,"name":"Netdata","description":"Netdata dashboards for Grafana via Prometheus (Kubernetes edition)","readme":"Netdata helm chart repository: [https://netdata.github.io/helmchart](https://netdata.github.io/helmchart)  \r\nNote: additional relabeling may be required (assuming you scraping metrics from `netdata-child` pods):\r\n\r\n- `kubernetes_node` should return `__meta_kubernetes_pod_node_name` value.\r\n\r\ne.g.:\r\n```\r\n- source_labels: [__meta_kubernetes_pod_node_name]\r\n  action: replace\r\n  target_label: kubernetes_node\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-09-19T20:09:26.000Z","updatedAt":"2022-09-19T20:20:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17019"},{"rel":"revisions","href":"/dashboards/17019/revisions"},{"rel":"revision","href":"/dashboards/17019/revisions/1"},{"rel":"download","href":"/dashboards/17019/revisions/1/download"},{"rel":"org","href":"/orgs/tsunamaru"},{"rel":"images","href":"/dashboards/17019/images"},{"rel":"thumbnails","href":"/dashboards/17019/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12279,"status":1,"statusCode":"active","orgId":381956,"orgSlug":"juanito87","orgName":"juanito87","slug":"netdata","downloads":1255,"revisionId":17533,"revision":1,"name":"Netdata and prometheus","description":"Updated Netdata dashboards for Grafana via Prometheus. ","readme":"Working with grafana 6.7.3, netdata 1.22 and prometheus 2.18. This dashboard is an update from the 8055, I only updated the sources names in the query from grafana to prometheus, upgraded for grafana <3.1 versions (with the export for sharing externally option) and rearranged a few graphs to get better visibility. There are a few stats with not data collected, that's in my test environment only.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-05-12T19:44:32.000Z","updatedAt":"2020-05-12T19:54:38.000Z","isEditor":false,"hasLogo":false,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12279"},{"rel":"revisions","href":"/dashboards/12279/revisions"},{"rel":"revision","href":"/dashboards/12279/revisions/1"},{"rel":"download","href":"/dashboards/12279/revisions/1/download"},{"rel":"org","href":"/orgs/juanito87"},{"rel":"images","href":"/dashboards/12279/images"},{"rel":"thumbnails","href":"/dashboards/12279/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3305,"status":1,"statusCode":"active","orgId":87392,"orgSlug":"juztas","orgName":"Justas Balcas","slug":"dtnrm-agent1-cern-ch","downloads":794,"revisionId":4580,"revision":1,"name":"Netdata dashboard","description":"Netdata dashboard for all metrics","readme":"This dashboard is automatically generated from all netdata configuration parameters. 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Generated by Netdata and store at InfluxDB","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-11-10T17:04:38.000Z","updatedAt":"2019-11-10T17:11:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11162"},{"rel":"revisions","href":"/dashboards/11162/revisions"},{"rel":"revision","href":"/dashboards/11162/revisions/1"},{"rel":"download","href":"/dashboards/11162/revisions/1/download"},{"rel":"org","href":"/orgs/rajdas98"},{"rel":"images","href":"/dashboards/11162/images"},{"rel":"thumbnails","href":"/dashboards/11162/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":3938,"status":1,"statusCode":"active","orgId":76559,"orgSlug":"schachr","orgName":"schachr","slug":"netdata","downloads":1268,"revisionId":5348,"revision":1,"name":"netdata Graphite","description":"Massive collection of netdata graphs via Graphite.","readme":"# netdata Graphite Dashboard\r\nMetrics provided by netdata, written into Graphite and displayed via Grafana!\r\n\r\n## Compatibility\r\n- netdata v1.8.0\r\n- It should display the most panels for a default installation of linux.\r\n- It's tested on Debian Stretch x64, OSMC (on Raspberry PI2) & armbian (on OrangePi+2E).\r\n- This dashboard uses templating heavily but as a limitation of grafana it is not possible to hide panels with no data.\r\n- Special handling of data provided by the use of docker at the collected hosts.\r\n\r\n## Metric Field description\r\n1. `datasource` = your graphite datasource for this dashboard.\r\n1. `rootdir` = also known as prefix, used to summarize metrics of a collector.\r\n1. `server` = Server Name without `.`. Please see *Rewrites* Section.\r\n\r\n### Additional Metrics\r\nYou can see them at the top of the dashboard.\r\n1. `interface` = Network interfaces\r\n1. `tc` = Quality of Service\r\n1. `cpu` = CPUs\r\n1. `disk` = Disk IOPs\r\n1. `disk_space` = Disk Space\r\n1. `cgroupplugin` = Output of cgroup plugin\r\n1. `pythonplugin` = Output of python plugin\r\n\r\n## Dependencies\r\n- netdata (https://my-netdata.io/)\r\n- Graphite\r\n- Grafana\r\n\r\n## Rewrites\r\n**Note**: Please keep in mind that hostnames usually contain `.`. You may want to consider symlinking in the storage directory instead or do rewriting of metrics, as this dashboard uses only the 2nd field for the hostname. `eth` sub interfaces (like `eth0.1`) and `cgroupplugin` needs rewrites as well. A sample configuration for `carbon-c-relay` is provided above.\r\n\r\n### carbon-c-relay rewrites\r\n```\r\n# Rewrite Host\r\nrewrite ^netdata\\.([a-z0-9]+)\\.example\\.com\\.\r\n    into netdata.\\1_example_com.\r\n    ;\r\n \r\n# Rewrite network subinterfaces\r\nrewrite ^netdata\\.([a-z0-9\\_]+)\\.net\\.(eth[0-9]+)\\.([0-9]+)\\.\r\n    into netdata.\\1.net.\\2_\\3.\r\n    ;\r\n \r\n# Fix recursion of cgroup plugin\r\nrewrite ^netdata\\.([a-z0-9\\_]+)\\.(cgroup\\_[a-z0-9\\_]+)\\.(cgroup\\_[a-z0-9\\_]+\\.)+\r\n    into netdata.\\1.\\2.\r\n    ;\r\n```\r\n \r\n## Storage Schema\r\n**Note**: As netdata is designed for live views you may want to configure an aligned storage schema that matches netdata's own interval called `update every` (see [this](https://github.com/firehol/netdata/wiki/Performance) link) as well.\r\n\r\n### Storage Schema example config\r\n`storage-schemas.conf` for the default value of netdata's `update every` (1s):\r\n```\r\n[netdata]\r\npattern = ^netdata\\.\r\nretentions = 1s:3h\r\n```\r\n\r\n## Configuration\r\n- Optional but recommended: deploy provided rewriting\r\n- Optional but recommended: [Master-Slave Setup](https://github.com/firehol/netdata/wiki/Replication-Overview)\r\n- Configure netdata to [write to Graphite](https://github.com/firehol/netdata/wiki/netdata-backends)\r\n- Import Dashboard and select the appropriate values at the top variable list for: *datasource*, *rootdir*, *server*.\r\n- Adopt the dashboard's refresh interval to fit your needs.\r\n- Enjoy!\r\n\r\n## Links\r\n- [github](https://github.com/schachr/grafana-dashboards/tree/master/netdata-graphite): https://github.com/schachr/grafana-dashboards/tree/master/netdata-graphite\r\n- [grafana](https://grafana.com/dashboards/3938): https://grafana.com/dashboards/3938","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2017-12-07T09:43:01.000Z","updatedAt":"2017-12-07T21:09:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3938"},{"rel":"revisions","href":"/dashboards/3938/revisions"},{"rel":"revision","href":"/dashboards/3938/revisions/1"},{"rel":"download","href":"/dashboards/3938/revisions/1/download"},{"rel":"org","href":"/orgs/schachr"},{"rel":"images","href":"/dashboards/3938/images"},{"rel":"thumbnails","href":"/dashboards/3938/thumbnails"}]},{"id":7519,"status":1,"statusCode":"active","orgId":178876,"orgSlug":"danmarotta5","orgName":"danmarotta5","slug":"netdata-graphite","downloads":349,"revisionId":10237,"revision":1,"name":"netdata Graphite","description":"Massive collection of netdata graphs via Graphite.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2018-08-13T21:05:53.000Z","updatedAt":"2018-08-13T21:06:14.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7519"},{"rel":"revisions","href":"/dashboards/7519/revisions"},{"rel":"revision","href":"/dashboards/7519/revisions/1"},{"rel":"download","href":"/dashboards/7519/revisions/1/download"},{"rel":"org","href":"/orgs/danmarotta5"},{"rel":"images","href":"/dashboards/7519/images"},{"rel":"thumbnails","href":"/dashboards/7519/thumbnails"}]},{"id":16189,"status":1,"statusCode":"active","orgId":639751,"orgSlug":"chasev","orgName":"Extra Hop","slug":"netdata-graphite","downloads":274,"revisionId":24587,"revision":1,"name":"netdata Graphite","description":"Massive collection of netdata graphs via Graphite.","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"tcpstat, entropy, supervisord, conntrack","datasource":null,"privacy":"public","createdAt":"2022-04-30T18:32:08.000Z","updatedAt":"2022-05-02T18:44:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16189"},{"rel":"revisions","href":"/dashboards/16189/revisions"},{"rel":"revision","href":"/dashboards/16189/revisions/1"},{"rel":"download","href":"/dashboards/16189/revisions/1/download"},{"rel":"org","href":"/orgs/chasev"},{"rel":"images","href":"/dashboards/16189/images"},{"rel":"thumbnails","href":"/dashboards/16189/thumbnails"}]},{"id":10922,"status":1,"statusCode":"active","orgId":294078,"orgSlug":"terorie","orgName":"terorie","slug":"netdata-monitoring","downloads":874,"revisionId":15261,"revision":2,"name":"Netdata Monitoring","description":"Netdata Chart","readme":"# Netdata to InfluxDB exporter\r\n\r\n * [GitHub](https://github.com/terorie/netdata-influx)\r\n * Zero-config, no need to modify netdata settings\r\n * Uses the Netdata V1 API to pull data (`dashboard_url + '/api'`)\r\n * Periodically writes data to InfluxDB\r\n\r\n### Showcase\r\n\r\n#### [Demo Page](https://the-eye.terorie.dev/d/SwC1MrpWz/netdata-monitoring)\r\n\r\n![Screenshot](https://grafana.com/api/dashboards/10922/images/6902/image)\r\n\r\n### Quickstart\r\n\r\nInstall InfluxDB, Netdata and Grafana using [Docker Compose](https://docs.docker.com/compose/install/) in under a minute!\r\n\r\n**Console:**\r\n\r\n```sh\r\n# Create workspace\r\nmkdir netdata; cd netdata\r\n\r\n# Get docker-compose config\r\nwget https://raw.githubusercontent.com/terorie/netdata-influx/master/quickstart/docker-compose.yml\r\n\r\n# Start services\r\ndocker-compose up -d\r\n\r\n# Create netdata database\r\ncurl -G http://localhost:8086/query --data-urlencode \"q=CREATE DATABASE netdata\"\r\n```\r\n\r\n**Grafana:**\r\n\r\n - Visit `http://<your_ip>:3000`\r\n - Login with `admin:admin`\r\n - Add InfluxDB datasource\r\n    - URL: `http://influxdb:8086`\r\n    - Details > Database: `netdata`\r\n - Import dashboard with ID `10922` [(help)](https://grafana.com/docs/reference/export_import/)\r\n\r\n### Exporter Configuration\r\n\r\nTo change settings or add more charts, use these config variables\r\n\r\n| var | meaning | default |\r\n| --- | ------- | ------- |\r\n| `$NI_LOG_TIMESTAMPS` | Include timestamps in log | `\"true\"` |\r\n| `$NI_INFLUX_ADDR` | Influx URL | — |\r\n| `$NI_INFLUX_DB` | Influx database | — |\r\n| `$NI_REFRESH_RATE` | Netdata polling rate | `\"10s\"` |\r\n| `$NI_NETDATA` | Netdata API URL | — |\r\n| `$NI_HOST_TAG` | Influx host tag (recommended) | `$NI_NETDATA` |\r\n| `$NI_CHARTS` | Space-separated list of charts to monitor | `system.cpu system.net system.pgpgio`\r\n| `$NI_POINTS` | Number of points to fetch (0 for all) | `0` |","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2019-09-27T13:06:23.000Z","updatedAt":"2019-09-27T14:13:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10922"},{"rel":"revisions","href":"/dashboards/10922/revisions"},{"rel":"revision","href":"/dashboards/10922/revisions/2"},{"rel":"download","href":"/dashboards/10922/revisions/2/download"},{"rel":"org","href":"/orgs/terorie"},{"rel":"images","href":"/dashboards/10922/images"},{"rel":"thumbnails","href":"/dashboards/10922/thumbnails"}]},{"id":4562,"status":1,"statusCode":"active","orgId":117275,"orgSlug":"bgnvendor","orgName":"bgnvendor","slug":"netdata-server-metrics","downloads":687,"revisionId":6116,"revision":3,"name":"Netdata Server Metrics","description":"Dashboard for netdata","readme":"Dashboard for netdata. Netdata used as collector and Graphite as data source.\r\nPlease use Grafana templating to define prefix and server, e.g.,\r\ndefine prefix as constant variable and set it to netdata,\r\ndefine server as constant variable and set it to wildcard(*) or a specific server name.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2018-02-01T06:16:40.000Z","updatedAt":"2018-02-01T08:05:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4562"},{"rel":"revisions","href":"/dashboards/4562/revisions"},{"rel":"revision","href":"/dashboards/4562/revisions/3"},{"rel":"download","href":"/dashboards/4562/revisions/3/download"},{"rel":"org","href":"/orgs/bgnvendor"},{"rel":"images","href":"/dashboards/4562/images"},{"rel":"thumbnails","href":"/dashboards/4562/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":16201,"status":1,"statusCode":"active","orgId":640048,"orgSlug":"cvalentine99","orgName":"cvalentine99","slug":"netdata-server-metrics","downloads":300,"revisionId":24605,"revision":1,"name":"Netdata Server Metrics","description":"Dashboard for netdata","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2022-05-02T13:32:20.000Z","updatedAt":"2022-05-02T13:32:47.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16201"},{"rel":"revisions","href":"/dashboards/16201/revisions"},{"rel":"revision","href":"/dashboards/16201/revisions/1"},{"rel":"download","href":"/dashboards/16201/revisions/1/download"},{"rel":"org","href":"/orgs/cvalentine99"},{"rel":"images","href":"/dashboards/16201/images"},{"rel":"thumbnails","href":"/dashboards/16201/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":1295,"status":1,"statusCode":"active","orgId":40306,"orgSlug":"grafanauser","orgName":"grafanauser","slug":"yourhostname","downloads":2497,"revisionId":1796,"revision":1,"name":"netdata-host","description":"Dashboard for netdata","readme":" Dashboard for netdata. Netdata used as collector and InfluxDB as data source.  \r\nJust change `yourhostname` in json file and you ready to go!","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-01-13T11:19:12.000Z","updatedAt":"2017-01-13T11:29:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1295"},{"rel":"revisions","href":"/dashboards/1295/revisions"},{"rel":"revision","href":"/dashboards/1295/revisions/1"},{"rel":"download","href":"/dashboards/1295/revisions/1/download"},{"rel":"org","href":"/orgs/grafanauser"},{"rel":"images","href":"/dashboards/1295/images"},{"rel":"thumbnails","href":"/dashboards/1295/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":1291,"status":1,"statusCode":"active","orgId":40306,"orgSlug":"grafanauser","orgName":"grafanauser","slug":"yourcontainername","downloads":577,"revisionId":1792,"revision":1,"name":"netdata-lxd-container","description":"Dashboard for lxd container, using netdata as collector","readme":"Dashboard for lxd container. Netdata used as collector and InfluxDB as data source.  \r\nJust change `yourcontainername` and `yourhostname` in json file and you ready to go!","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-01-13T11:08:43.000Z","updatedAt":"2017-01-13T11:26:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1291"},{"rel":"revisions","href":"/dashboards/1291/revisions"},{"rel":"revision","href":"/dashboards/1291/revisions/1"},{"rel":"download","href":"/dashboards/1291/revisions/1/download"},{"rel":"org","href":"/orgs/grafanauser"},{"rel":"images","href":"/dashboards/1291/images"},{"rel":"thumbnails","href":"/dashboards/1291/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13935,"status":1,"statusCode":"active","orgId":119602,"orgSlug":"osshelp","orgName":"OSSHelp","slug":"apache-overview","downloads":388,"revisionId":20409,"revision":1,"name":"Netdata: Apache Overview","description":"Detailed stats for Apache (requests, workers, bandwidth, etc)","readme":"# About dashboard\n\nA dashboard with an overview for Apache metrics:\n\n* Workers status (busy, idle)\n* Requests rate\n* Bandwidth (sent)\n* Average sizes (requests and responses)\n\nAlso there are following Nginx metrics:\n\n* Total connections and connections by status (idle, reading, writing)\n* Global requests rate and rate by status (accepted, handled)\n\nMore dashboards for Netdata you can find [here](https://grafana.com/orgs/osshelp).\n\n# How to use\n\n## Netdata setup\n\nFollow [these instructions](https://learn.netdata.cloud/docs/agent/collectors/python.d.plugin/apache) to setup Apache2 monitoring in Netdata.\n\n## Prometheus setup\n\nPlease note that you need [Netdata as an exporter for metrics](https://learn.netdata.cloud/docs/agent/backends/prometheus). Plus, these labels are mandatory:\n\n* job\n* env\n* instance\n* group\n* source\n\nIn your prometheus.yml it should look like this:\n\n```yaml\n- job_name: netdata\n  metrics_path: /api/v1/allmetrics?format=prometheus_all_hosts&source=raw\n  relabel_configs:\n  - source_labels: [__address__]\n    regex: ^(.+)\\.\\w+:\\d+\n    target_label: instance\n    action: replace\n  static_configs:\n  - targets: [netdata.hostname.here:19999]\n    labels:\n      env: production\n      group: applications\n      source: newproject\n```\n\n**WARNING**: Without these labels, this dashboard won't be fully functioning.\n\n## Links\n\n* [Ansible role for Apache](https://github.com/OSSHelp/ansible-apache)\n* [Ansible role for Netdata](https://github.com/OSSHelp/ansible-netdata)\n* [Docker image with Netdata](https://hub.docker.com/r/osshelp/netdata)\n\n## License\n\nGPL3\n\n## Author\n\nOSSHelp Team, see <https://oss.help>\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-02-19T22:15:49.000Z","updatedAt":"2021-03-22T00:15:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13935"},{"rel":"revisions","href":"/dashboards/13935/revisions"},{"rel":"revision","href":"/dashboards/13935/revisions/1"},{"rel":"download","href":"/dashboards/13935/revisions/1/download"},{"rel":"org","href":"/orgs/osshelp"},{"rel":"images","href":"/dashboards/13935/images"},{"rel":"thumbnails","href":"/dashboards/13935/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13742,"status":1,"statusCode":"active","orgId":119602,"orgSlug":"osshelp","orgName":"OSSHelp","slug":"apps-stats","downloads":368,"revisionId":20128,"revision":2,"name":"Netdata: Apps Stats","description":"Per application overview (CPU/RAM/Disk/etc)","readme":"# About dashboard\n\nA simple dashboard with an overview for running applications:\n\n* CPU (user and system)\n* RAM and swap\n* Disks I/O\n* Network bandwidth and PPS\n* Process and threads\n* Number of open files, sockets, pipes\n* Minor and major page faults\n\nMore dashboards for Netdata you can find [here](https://grafana.com/orgs/osshelp).\n\n# How to use\n\n## Netdata setup\n\nFollow [these instructions](https://learn.netdata.cloud/docs/agent/collectors/apps.plugin) to setup applications monitoring in Netdata.\n\n## Prometheus setup\n\nPlease note that you need [Netdata as an exporter for metrics](https://learn.netdata.cloud/docs/agent/backends/prometheus). Plus, these labels are mandatory:\n\n* job\n* env\n* instance\n* group\n* source\n\nIn your prometheus.yml it should look like this:\n\n```yaml\n- job_name: netdata\n  metrics_path: /api/v1/allmetrics?format=prometheus_all_hosts&source=raw\n  relabel_configs:\n  - source_labels: [__address__]\n    regex: ^(.+)\\.\\w+:\\d+\n    target_label: instance\n    action: replace\n  static_configs:\n  - targets: [netdata.hostname.here:19999]\n    labels:\n      env: production\n      group: applications\n      source: newproject\n```\n\n**WARNING**: Without these labels, this dashboard won't be fully functioning.\n\n## Links\n\n* [Ansible role for Netdata](https://github.com/OSSHelp/ansible-netdata)\n* [Docker image with Netdata](https://hub.docker.com/r/osshelp/netdata)\n\n## License\n\nGPL3\n\n## Author\n\nOSSHelp Team, see <https://oss.help>\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-19T19:08:57.000Z","updatedAt":"2021-02-19T21:47:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13742"},{"rel":"revisions","href":"/dashboards/13742/revisions"},{"rel":"revision","href":"/dashboards/13742/revisions/2"},{"rel":"download","href":"/dashboards/13742/revisions/2/download"},{"rel":"org","href":"/orgs/osshelp"},{"rel":"images","href":"/dashboards/13742/images"},{"rel":"thumbnails","href":"/dashboards/13742/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16200,"status":1,"statusCode":"active","orgId":640048,"orgSlug":"cvalentine99","orgName":"cvalentine99","slug":"netdata-apps-stats","downloads":297,"revisionId":24604,"revision":1,"name":"Netdata: Apps Stats","description":"Per application overview (CPU/RAM/Disk/etc)","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"StatsD plugin","datasource":"Prometheus","privacy":"public","createdAt":"2022-05-02T13:13:17.000Z","updatedAt":"2022-05-02T13:25:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16200"},{"rel":"revisions","href":"/dashboards/16200/revisions"},{"rel":"revision","href":"/dashboards/16200/revisions/1"},{"rel":"download","href":"/dashboards/16200/revisions/1/download"},{"rel":"org","href":"/orgs/cvalentine99"},{"rel":"images","href":"/dashboards/16200/images"},{"rel":"thumbnails","href":"/dashboards/16200/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14106,"status":1,"statusCode":"active","orgId":119602,"orgSlug":"osshelp","orgName":"OSSHelp","slug":"bind9-overview","downloads":350,"revisionId":20688,"revision":1,"name":"Netdata: Bind9 Overview","description":"Detailed stats for Bind9 (events, queries, etc)","readme":"# About dashboard\n\nA dashboard with an overview for Bind9 metrics:\n\n* Global events (responses, requests, recursion, etc)\n* Incoming queries (total by type)\n* Outgoing queries (total by type)\n* Per instance events (responses, requests, recursion, etc)\n* Incoming queries per type (min/max/avg)\n* Outgoing queries per type (min/max/avg)\n\nMore dashboards for Netdata you can find [here](https://grafana.com/orgs/osshelp).\n\n# How to use\n\n## Netdata setup\n\nFollow [these instructions](https://learn.netdata.cloud/docs/agent/collectors/python.d.plugin/bind_rndc) to setup Bind9 monitoring in Netdata.\n\n## Prometheus setup\n\nPlease note that you need [Netdata as an exporter for metrics](https://learn.netdata.cloud/docs/agent/backends/prometheus). Plus, these labels are mandatory:\n\n* job\n* env\n* instance\n* group\n* source\n\nIn your prometheus.yml it should look like this:\n\n```yaml\n- job_name: netdata\n  metrics_path: /api/v1/allmetrics?format=prometheus_all_hosts&source=raw\n  relabel_configs:\n  - source_labels: [__address__]\n    regex: ^(.+)\\.\\w+:\\d+\n    target_label: instance\n    action: replace\n  static_configs:\n  - targets: [netdata.hostname.here:19999]\n    labels:\n      env: production\n      group: applications\n      source: newproject\n```\n\n**WARNING**: Without these labels, this dashboard won't be fully functioning.\n\n## Links\n\n* [Ansible role for Bind9](https://github.com/OSSHelp/ansible-bind9)\n* [Ansible role for Netdata](https://github.com/OSSHelp/ansible-netdata)\n* [Docker image with Netdata](https://hub.docker.com/r/osshelp/netdata)\n\n## License\n\nGPL3\n\n## Author\n\nOSSHelp Team, see <https://oss.help>\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-03-21T23:49:17.000Z","updatedAt":"2021-03-22T00:17:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14106"},{"rel":"revisions","href":"/dashboards/14106/revisions"},{"rel":"revision","href":"/dashboards/14106/revisions/1"},{"rel":"download","href":"/dashboards/14106/revisions/1/download"},{"rel":"org","href":"/orgs/osshelp"},{"rel":"images","href":"/dashboards/14106/images"},{"rel":"thumbnails","href":"/dashboards/14106/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13761,"status":1,"statusCode":"active","orgId":119602,"orgSlug":"osshelp","orgName":"OSSHelp","slug":"containers-stats","downloads":459,"revisionId":20129,"revision":2,"name":"Netdata: Containers Stats","description":"Per container overview (LXC, Docker, etc)","readme":"# About dashboard\n\nA simple dashboard with an overview for containers resource usage:\n\n* CPU\n* RAM (RSS, Cache, Swap, Writeback, etc)\n* Disks I/O and bandwidth\n* Network bandwidth and PPS\n\nThe left column will show host system resources and the right column contains graph panels with stacked metrics of the container's resource usage.\n\nMore dashboards for Netdata you can find [here](https://grafana.com/orgs/osshelp).\n\n# How to use\n\n## Netdata setup\n\nFollow [these instructions](https://learn.netdata.cloud/docs/agent/collectors/cgroups.plugin) to setup containers monitoring in Netdata.\n\n## Prometheus setup\n\nPlease note that you need [Netdata as an exporter for metrics](https://learn.netdata.cloud/docs/agent/backends/prometheus). Plus, these labels are mandatory:\n\n* job\n* env\n* instance\n* group\n* source\n\nIn your prometheus.yml it should look like this:\n\n```yaml\n- job_name: netdata\n  metrics_path: /api/v1/allmetrics?format=prometheus_all_hosts&source=raw\n  relabel_configs:\n  - source_labels: [__address__]\n    regex: ^(.+)\\.\\w+:\\d+\n    target_label: instance\n    action: replace\n  static_configs:\n  - targets: [netdata.hostname.here:19999]\n    labels:\n      env: production\n      group: applications\n      source: newproject\n```\n\n**WARNING**: Without these labels, this dashboard won't be fully functioning.\n\n## Links\n\n* [Ansible role for Netdata](https://github.com/OSSHelp/ansible-netdata)\n* [Docker image with Netdata](https://hub.docker.com/r/osshelp/netdata)\n\n## License\n\nGPL3\n\n## Author\n\nOSSHelp Team, see <https://oss.help>\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-22T10:22:39.000Z","updatedAt":"2021-02-19T21:47:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13761"},{"rel":"revisions","href":"/dashboards/13761/revisions"},{"rel":"revision","href":"/dashboards/13761/revisions/2"},{"rel":"download","href":"/dashboards/13761/revisions/2/download"},{"rel":"org","href":"/orgs/osshelp"},{"rel":"images","href":"/dashboards/13761/images"},{"rel":"thumbnails","href":"/dashboards/13761/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13748,"status":1,"statusCode":"active","orgId":119602,"orgSlug":"osshelp","orgName":"OSSHelp","slug":"cpu-stats","downloads":547,"revisionId":20130,"revision":2,"name":"Netdata: CPU Stats","description":"Detailed CPU stats (+hardware metrics)","readme":"# About dashboard\n\nA simple dashboard with an overview of CPU related metrics:\n\n* CPU usage (user/system/steal/iowait/etc)\n* Per device interrtupts, softirqs and softnet\n* LoadAverage for 1m/5m/15m\n* Interrupts and context switching\n* Temperature sensors\n* Frequency scaling and throttling\n\nMore dashboards for Netdata you can find [here](https://grafana.com/orgs/osshelp).\n\n# How to use\n\n## Netdata setup\n\nFollow [these instructions](https://learn.netdata.cloud/docs/agent/collectors/proc.plugin) to setup CPU monitoring in Netdata.\n\n## Prometheus setup\n\nPlease note that you need [Netdata as an exporter for metrics](https://learn.netdata.cloud/docs/agent/backends/prometheus). Plus, these labels are mandatory:\n\n* job\n* env\n* instance\n* group\n* source\n\nIn your prometheus.yml it should look like this:\n\n```yaml\n- job_name: netdata\n  metrics_path: /api/v1/allmetrics?format=prometheus_all_hosts&source=raw\n  relabel_configs:\n  - source_labels: [__address__]\n    regex: ^(.+)\\.\\w+:\\d+\n    target_label: instance\n    action: replace\n  static_configs:\n  - targets: [netdata.hostname.here:19999]\n    labels:\n      env: production\n      group: applications\n      source: newproject\n```\n\n**WARNING**: Without these labels, this dashboard won't be fully functioning.\n\n## Links\n\n* [Ansible role for Netdata](https://github.com/OSSHelp/ansible-netdata)\n* [Docker image with Netdata](https://hub.docker.com/r/osshelp/netdata)\n\n## License\n\nGPL3\n\n## Author\n\nOSSHelp Team, see <https://oss.help>\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-19T20:42:49.000Z","updatedAt":"2021-02-19T21:47:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13748"},{"rel":"revisions","href":"/dashboards/13748/revisions"},{"rel":"revision","href":"/dashboards/13748/revisions/2"},{"rel":"download","href":"/dashboards/13748/revisions/2/download"},{"rel":"org","href":"/orgs/osshelp"},{"rel":"images","href":"/dashboards/13748/images"},{"rel":"thumbnails","href":"/dashboards/13748/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13746,"status":1,"statusCode":"active","orgId":119602,"orgSlug":"osshelp","orgName":"OSSHelp","slug":"disks-stats","downloads":601,"revisionId":20088,"revision":1,"name":"Netdata: Disks Stats","description":"Per disk metrics overview (+mdadm)","readme":"# About dashboard\n\nA simple dashboard with an overview for disk related metrics:\n\n* I/O operations and bandwidth\n* Disk utilization and backlog\n* Queued operations and avergage service time\n* Used space and inodes\n\nPlus mdadm related metrics (i.e. software raid):\n\n* current status and amount of faulty devices\n* duration and bandwidth of background operations\n* devices in check/resync/reshape/recovery statuses\n\nMore dashboards for Netdata you can find [here](https://grafana.com/orgs/osshelp).\n\n# How to use\n\n## Netdata setup\n\nFollow [these instructions](https://learn.netdata.cloud/docs/agent/collectors/proc.plugin) to setup disks monitoring in Netdata.\n## Prometheus setup\n\nPlease note that you need [Netdata as an exporter for metrics](https://learn.netdata.cloud/docs/agent/backends/prometheus). Plus, these labels are mandatory:\n\n* job\n* env\n* instance\n* group\n* source\n\nIn your prometheus.yml it should look like this:\n\n```yaml\n- job_name: netdata\n  metrics_path: /api/v1/allmetrics?format=prometheus_all_hosts&source=raw\n  relabel_configs:\n  - source_labels: [__address__]\n    regex: ^(.+)\\.\\w+:\\d+\n    target_label: instance\n    action: replace\n  static_configs:\n  - targets: [netdata.hostname.here:19999]\n    labels:\n      env: production\n      group: applications\n      source: newproject\n```\n\n**WARNING**: Without these labels, this dashboard won't be fully functioning.\n\n## Links\n\n* [Ansible role for Netdata](https://github.com/OSSHelp/ansible-netdata)\n* [Docker image with Netdata](https://hub.docker.com/r/osshelp/netdata)\n\n## License\n\nGPL3\n\n## Author\n\nOSSHelp Team, see <https://oss.help>\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-19T20:26:43.000Z","updatedAt":"2021-02-19T21:47:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13746"},{"rel":"revisions","href":"/dashboards/13746/revisions"},{"rel":"revision","href":"/dashboards/13746/revisions/1"},{"rel":"download","href":"/dashboards/13746/revisions/1/download"},{"rel":"org","href":"/orgs/osshelp"},{"rel":"images","href":"/dashboards/13746/images"},{"rel":"thumbnails","href":"/dashboards/13746/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14107,"status":1,"statusCode":"active","orgId":119602,"orgSlug":"osshelp","orgName":"OSSHelp","slug":"elasticsearch-overview","downloads":436,"revisionId":20689,"revision":1,"name":"Netdata: Elasticsearch Overview","description":"Detailed stats for Elasticsearch (status, search, indexing, etc)","readme":"# About dashboard\n\nA dashboard with an overview for Elasticsearch metrics:\n\n* Cluster status (green/yellow/red)\n* Nodes Statistics (master, data, ingest, etc)\n* Operations time (indexing, refreshing, flushing)\n* Index Statistics (documents, refreshes, flushes)\n* HTTP connections and JVM Heap usage\n* Search performance (queries and fetches, time, latency)\n* Indexing performance (documents, status, latency)\n* Cluster health and stats API (nodes, shards, docs, cache, storage, etc)\n* Queues and rejections (index, search, write)\n* Host metrics (file descriptors, bandwidth)\n* Memory usage and garbage collector (heap, direct buffers, mapped buffers, etc)\n* Indices segments (usage by type, total)\n* Translog (operations, size)\n* Feilddata cache (usage, evictions)\n\nMore dashboards for Netdata you can find [here](https://grafana.com/orgs/osshelp).\n\n# How to use\n\n## Netdata setup\n\nFollow [these instructions](https://learn.netdata.cloud/docs/agent/collectors/python.d.plugin/elasticsearch) to setup Elasticsearch monitoring in Netdata.\n\n## Prometheus setup\n\nPlease note that you need [Netdata as an exporter for metrics](https://learn.netdata.cloud/docs/agent/backends/prometheus). Plus, these labels are mandatory:\n\n* job\n* env\n* instance\n* group\n* source\n\nIn your prometheus.yml it should look like this:\n\n```yaml\n- job_name: netdata\n  metrics_path: /api/v1/allmetrics?format=prometheus_all_hosts&source=raw\n  relabel_configs:\n  - source_labels: [__address__]\n    regex: ^(.+)\\.\\w+:\\d+\n    target_label: instance\n    action: replace\n  static_configs:\n  - targets: [netdata.hostname.here:19999]\n    labels:\n      env: production\n      group: applications\n      source: newproject\n```\n\n**WARNING**: Without these labels, this dashboard won't be fully functioning.\n\n## Links\n\n* [Ansible role for Netdata](https://github.com/OSSHelp/ansible-netdata)\n* [Docker image with Netdata](https://hub.docker.com/r/osshelp/netdata)\n\n## License\n\nGPL3\n\n## Author\n\nOSSHelp Team, see <https://oss.help>\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-03-22T00:06:42.000Z","updatedAt":"2021-03-22T00:14:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14107"},{"rel":"revisions","href":"/dashboards/14107/revisions"},{"rel":"revision","href":"/dashboards/14107/revisions/1"},{"rel":"download","href":"/dashboards/14107/revisions/1/download"},{"rel":"org","href":"/orgs/osshelp"},{"rel":"images","href":"/dashboards/14107/images"},{"rel":"thumbnails","href":"/dashboards/14107/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13933,"status":1,"statusCode":"active","orgId":119602,"orgSlug":"osshelp","orgName":"OSSHelp","slug":"memcached-overview","downloads":326,"revisionId":20407,"revision":1,"name":"Netdata: Memcached Overview","description":"Detailed stats for Memcached (connections, items, operations, etc)","readme":"# About dashboard\n\nA dashboard with an overview for Memcached metrics:\n\n* Connections (current and increase)\n* Network bandwidth (in and out)\n* Stored items (current and increase)\n* Items events (reclaimed, evicted)\n* Cache size (used, available)\n* Get operations (hits, misses)\n* Set operations (rate)\n* Delete operations (his, misses)\n* Increment operations (hits, misses)\n* Decrement operations (hits, misses)\n* Touch operations (hits, misses)\n* CAS operations (hits, misses, bad value)\n\nMore dashboards for Netdata you can find [here](https://grafana.com/orgs/osshelp).\n\n# How to use\n\n## Netdata setup\n\nFollow [these instructions](https://learn.netdata.cloud/docs/agent/collectors/python.d.plugin/memcached) to setup Memcached monitoring in Netdata.\n\n## Prometheus setup\n\nPlease note that you need [Netdata as an exporter for metrics](https://learn.netdata.cloud/docs/agent/backends/prometheus). Plus, these labels are mandatory:\n\n* job\n* env\n* instance\n* group\n* source\n\nIn your prometheus.yml it should look like this:\n\n```yaml\n- job_name: netdata\n  metrics_path: /api/v1/allmetrics?format=prometheus_all_hosts&source=raw\n  relabel_configs:\n  - source_labels: [__address__]\n    regex: ^(.+)\\.\\w+:\\d+\n    target_label: instance\n    action: replace\n  static_configs:\n  - targets: [netdata.hostname.here:19999]\n    labels:\n      env: production\n      group: applications\n      source: newproject\n```\n\n**WARNING**: Without these labels, this dashboard won't be fully functioning.\n\n## Links\n\n* [Ansible role for Memcached](https://github.com/OSSHelp/ansible-memcached)\n* [Ansible role for Netdata](https://github.com/OSSHelp/ansible-netdata)\n* [Docker image with Netdata](https://hub.docker.com/r/osshelp/netdata)\n\n## License\n\nGPL3\n\n## Author\n\nOSSHelp Team, see <https://oss.help>\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-02-19T22:01:48.000Z","updatedAt":"2021-03-22T00:17:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13933"},{"rel":"revisions","href":"/dashboards/13933/revisions"},{"rel":"revision","href":"/dashboards/13933/revisions/1"},{"rel":"download","href":"/dashboards/13933/revisions/1/download"},{"rel":"org","href":"/orgs/osshelp"},{"rel":"images","href":"/dashboards/13933/images"},{"rel":"thumbnails","href":"/dashboards/13933/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13745,"status":1,"statusCode":"active","orgId":119602,"orgSlug":"osshelp","orgName":"OSSHelp","slug":"memory-stats","downloads":416,"revisionId":20131,"revision":2,"name":"Netdata: Memory Stats","description":"Detailed memory stats (used, free, cached, swap, slab, etc)\n","readme":"# About dashboard\n\nA simple dashboard with of memory related metrics\n\n* Memory usage by category (buffers, cached, free, used)\n* Swap usage and activity\n* Commited and writeback memory\n* Reserved for kernel (stack, pagetables, slab, etc)\n* IPC (semaphores, shared memory)\n* HugePages and KSM\n\nMore dashboards for Netdata you can find [here](https://grafana.com/orgs/osshelp).\n\n# How to use\n\n## Netdata setup\n\nFollow [these instructions](https://learn.netdata.cloud/docs/agent/collectors/proc.plugin) to setup memory monitoring in Netdata.\n\n## Prometheus setup\n\nPlease note that you need [Netdata as an exporter for metrics](https://learn.netdata.cloud/docs/agent/backends/prometheus). Plus, these labels are mandatory:\n\n* job\n* env\n* instance\n* group\n* source\n\nIn your prometheus.yml it should look like this:\n\n```yaml\n- job_name: netdata\n  metrics_path: /api/v1/allmetrics?format=prometheus_all_hosts&source=raw\n  relabel_configs:\n  - source_labels: [__address__]\n    regex: ^(.+)\\.\\w+:\\d+\n    target_label: instance\n    action: replace\n  static_configs:\n  - targets: [netdata.hostname.here:19999]\n    labels:\n      env: production\n      group: applications\n      source: newproject\n```\n\n**WARNING**: Without these labels, this dashboard won't be fully functioning.\n\n## Links\n\n* [Ansible role for Netdata](https://github.com/OSSHelp/ansible-netdata)\n* [Docker image with Netdata](https://hub.docker.com/r/osshelp/netdata)\n\n## License\n\nGPL3\n\n## Author\n\nOSSHelp Team, see <https://oss.help>\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-19T20:22:39.000Z","updatedAt":"2021-02-19T21:47:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13745"},{"rel":"revisions","href":"/dashboards/13745/revisions"},{"rel":"revision","href":"/dashboards/13745/revisions/2"},{"rel":"download","href":"/dashboards/13745/revisions/2/download"},{"rel":"org","href":"/orgs/osshelp"},{"rel":"images","href":"/dashboards/13745/images"},{"rel":"thumbnails","href":"/dashboards/13745/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13776,"status":1,"statusCode":"active","orgId":119602,"orgSlug":"osshelp","orgName":"OSSHelp","slug":"mongodb-overview","downloads":617,"revisionId":20144,"revision":1,"name":"Netdata: MongoDB Overview","description":"Detailed stats for MongoDB (queries, cache, locks, etc)","readme":"# About dashboard\n\nA dashboard with an overview for MongoDB metrics:\n\n* Read and write requests\n* Connections and clients (read, write)\n* Request queues (read, write)\n* Errors by type\n* Memory and disk usage\n* Cache Stats (wiredtiger and evictions)\n* Locking Stats (colleciton, database, global, metadata, oplog)\n* Commands rate by type (success, failed)\n* ReplicaSet metrics (members, oplog, heartbeat)\n* TCMalloc stats\n\nMore dashboards for Netdata you can find [here](https://grafana.com/orgs/osshelp).\n\n# How to use\n\n## Netdata setup\n\nFollow [these instructions](https://learn.netdata.cloud/docs/agent/collectors/python.d.plugin/mongodb) to setup MongoDB monitoring in Netdata.\n\n## Prometheus setup\n\nPlease note that you need [Netdata as an exporter for metrics](https://learn.netdata.cloud/docs/agent/backends/prometheus). Plus, these labels are mandatory:\n\n* job\n* env\n* instance\n* group\n* source\n\nIn your prometheus.yml it should look like this:\n\n```yaml\n- job_name: netdata\n  metrics_path: /api/v1/allmetrics?format=prometheus_all_hosts&source=raw\n  relabel_configs:\n  - source_labels: [__address__]\n    regex: ^(.+)\\.\\w+:\\d+\n    target_label: instance\n    action: replace\n  static_configs:\n  - targets: [netdata.hostname.here:19999]\n    labels:\n      env: production\n      group: applications\n      source: newproject\n```\n\n**WARNING**: Without these labels, this dashboard won't be fully functioning.\n\n## Links\n\n* [Ansible role for MongoDB](https://github.com/OSSHelp/ansible-mongodb)\n* [Ansible role for Netdata](https://github.com/OSSHelp/ansible-netdata)\n* [Docker image with Netdata](https://hub.docker.com/r/osshelp/netdata)\n\n## License\n\nGPL3\n\n## Author\n\nOSSHelp Team, see <https://oss.help>\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-25T20:46:51.000Z","updatedAt":"2021-03-22T00:18:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13776"},{"rel":"revisions","href":"/dashboards/13776/revisions"},{"rel":"revision","href":"/dashboards/13776/revisions/1"},{"rel":"download","href":"/dashboards/13776/revisions/1/download"},{"rel":"org","href":"/orgs/osshelp"},{"rel":"images","href":"/dashboards/13776/images"},{"rel":"thumbnails","href":"/dashboards/13776/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13771,"status":1,"statusCode":"active","orgId":119602,"orgSlug":"osshelp","orgName":"OSSHelp","slug":"mysql-overview","downloads":505,"revisionId":20133,"revision":1,"name":"Netdata: MySQL Overview","description":"Detailed stats for MySQL (queries, cache, buffers, etc)","readme":"# About dashboard\n\nA dashboard with an overview for MySQL metrics:\n\n* Bandwidth, queries, connections\n* Handlers, queries by type\n* InnoDB (bandwidth, buffers, logs, locks, etc)\n* MyISAM (key cache requests, blocks, operations)\n* Replication stats (binlog, threads, delay)\n* Galera Cluster (writesets, queue, conflicts, flow control)\n* Query Cache (operations, queries, memory, blocks)\n* Threads, opened files, temp tables\n\nMore dashboards for Netdata you can find [here](https://grafana.com/orgs/osshelp).\n\n# How to use\n\n## Netdata setup\n\nFollow [these instructions](https://learn.netdata.cloud/docs/agent/collectors/python.d.plugin/mysql) to setup MySQL monitoring in Netdata.\n\n## Prometheus setup\n\nPlease note that you need [Netdata as an exporter for metrics](https://learn.netdata.cloud/docs/agent/backends/prometheus). Plus, these labels are mandatory:\n\n* job\n* env\n* instance\n* group\n* source\n\nIn your prometheus.yml it should look like this:\n\n```yaml\n- job_name: netdata\n  metrics_path: /api/v1/allmetrics?format=prometheus_all_hosts&source=raw\n  relabel_configs:\n  - source_labels: [__address__]\n    regex: ^(.+)\\.\\w+:\\d+\n    target_label: instance\n    action: replace\n  static_configs:\n  - targets: [netdata.hostname.here:19999]\n    labels:\n      env: production\n      group: applications\n      source: newproject\n```\n\n**WARNING**: Without these labels, this dashboard won't be fully functioning.\n\n## Links\n\n* [Ansible role for MySQL](https://github.com/OSSHelp/ansible-mysql)\n* [Ansible role for Netdata](https://github.com/OSSHelp/ansible-netdata)\n* [Docker image with Netdata](https://hub.docker.com/r/osshelp/netdata)\n\n## License\n\nGPL3\n\n## Author\n\nOSSHelp Team, see <https://oss.help>\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-24T19:39:11.000Z","updatedAt":"2021-03-22T00:18:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13771"},{"rel":"revisions","href":"/dashboards/13771/revisions"},{"rel":"revision","href":"/dashboards/13771/revisions/1"},{"rel":"download","href":"/dashboards/13771/revisions/1/download"},{"rel":"org","href":"/orgs/osshelp"},{"rel":"images","href":"/dashboards/13771/images"},{"rel":"thumbnails","href":"/dashboards/13771/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13747,"status":1,"statusCode":"active","orgId":119602,"orgSlug":"osshelp","orgName":"OSSHelp","slug":"network-stats","downloads":879,"revisionId":20089,"revision":1,"name":"Netdata: Network Stats","description":"Detailed network stats (IPv4 and IPv6)","readme":"# About dashboard\n\nDashboard with a detailed network statistics:\n\n* bandwidth and pps per interfaces\n* generic per-protocol stats\n* netfilter accounting (bandwidth and pps)\n* conntrack (connections, errors, changes, searches)\n* broadcast and multicast (bandwidth and pps)\n\nGeneric stats for IPv4 and IPv6:\n\n*  sockets and packets\n* errors and raw sockets\n* fragments and reassembly\n* aborts, syn cookies, ecn, out-of-order\n\nDetailed stats for TCP/UDP/ICMP over IPv4 and IPv6:\n\n* connections, sockets, packets\n* handshakes, errors, memory usage\n\nMore dashboards for Netdata you can find [here](https://grafana.com/orgs/osshelp).\n\n# How to use\n\n## Netdata setup\n\nFollow [these instructions](https://learn.netdata.cloud/docs/agent/collectors/proc.plugin) to setup network monitoring in Netdata.\n\n## Prometheus setup\n\nPlease note that you need [Netdata as an exporter for metrics](https://learn.netdata.cloud/docs/agent/backends/prometheus). Plus, these labels are mandatory:\n\n* job\n* env\n* instance\n* group\n* source\n\nIn your prometheus.yml it should look like this:\n\n```yaml\n- job_name: netdata\n  metrics_path: /api/v1/allmetrics?format=prometheus_all_hosts&source=raw\n  relabel_configs:\n  - source_labels: [__address__]\n    regex: ^(.+)\\.\\w+:\\d+\n    target_label: instance\n    action: replace\n  static_configs:\n  - targets: [netdata.hostname.here:19999]\n    labels:\n      env: production\n      group: applications\n      source: newproject\n```\n\n**WARNING**: Without these labels, this dashboard won't be fully functioning.\n\n## Links\n\n* [Ansible role for Netdata](https://github.com/OSSHelp/ansible-netdata)\n* [Docker image with Netdata](https://hub.docker.com/r/osshelp/netdata)\n\n## License\n\nGPL3\n\n## Author\n\nOSSHelp Team, see <https://oss.help>\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-19T20:32:55.000Z","updatedAt":"2021-02-19T21:48:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13747"},{"rel":"revisions","href":"/dashboards/13747/revisions"},{"rel":"revision","href":"/dashboards/13747/revisions/1"},{"rel":"download","href":"/dashboards/13747/revisions/1/download"},{"rel":"org","href":"/orgs/osshelp"},{"rel":"images","href":"/dashboards/13747/images"},{"rel":"thumbnails","href":"/dashboards/13747/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13930,"status":1,"statusCode":"active","orgId":119602,"orgSlug":"osshelp","orgName":"OSSHelp","slug":"php-fpm-overview","downloads":508,"revisionId":20404,"revision":1,"name":"Netdata: PHP-FPM Overview","description":"Detailed stats for PHP-FPM and Nginx (requests, connections, rates, etc)","readme":"# About dashboard\n\nA dashboard with an overview for PHP-FPM metrics:\n\n* Connections statuses\n* Requests per seconds and requests duration\n* Pool performance\n* CPU and RAM usage\n\nAlso there are following Nginx metrics:\n\n* Total connections and connections by status (idle, reading, writing)\n* Global requests rate and rate by status (accepted, handled)\n\nMore dashboards for Netdata you can find [here](https://grafana.com/orgs/osshelp).\n\n# How to use\n\n## Netdata setup\n\nFollow [these instructions](https://learn.netdata.cloud/docs/agent/collectors/python.d.plugin/phpfpm) to setup PHP-FPM monitoring in Netdata.\n\n## Prometheus setup\n\nPlease note that you need [Netdata as an exporter for metrics](https://learn.netdata.cloud/docs/agent/backends/prometheus). Plus, these labels are mandatory:\n\n* job\n* env\n* instance\n* group\n* source\n\nIn your prometheus.yml it should look like this:\n\n```yaml\n- job_name: netdata\n  metrics_path: /api/v1/allmetrics?format=prometheus_all_hosts&source=raw\n  relabel_configs:\n  - source_labels: [__address__]\n    regex: ^(.+)\\.\\w+:\\d+\n    target_label: instance\n    action: replace\n  static_configs:\n  - targets: [netdata.hostname.here:19999]\n    labels:\n      env: production\n      group: applications\n      source: newproject\n```\n\n**WARNING**: Without these labels, this dashboard won't be fully functioning.\n\n## Links\n\n* [Ansible role for PHP-FPM](https://github.com/OSSHelp/ansible-phpfpm)\n* [Ansible role for Netdata](https://github.com/OSSHelp/ansible-netdata)\n* [Docker image with Netdata](https://hub.docker.com/r/osshelp/netdata)\n\n## License\n\nGPL3\n\n## Author\n\nOSSHelp Team, see <https://oss.help>\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-02-19T21:42:20.000Z","updatedAt":"2021-03-22T00:18:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13930"},{"rel":"revisions","href":"/dashboards/13930/revisions"},{"rel":"revision","href":"/dashboards/13930/revisions/1"},{"rel":"download","href":"/dashboards/13930/revisions/1/download"},{"rel":"org","href":"/orgs/osshelp"},{"rel":"images","href":"/dashboards/13930/images"},{"rel":"thumbnails","href":"/dashboards/13930/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13934,"status":1,"statusCode":"active","orgId":119602,"orgSlug":"osshelp","orgName":"OSSHelp","slug":"rabbitmq-overview","downloads":402,"revisionId":20408,"revision":1,"name":"Netdata: RabbitMQ Overview","description":"Detailed stats for RabbitMQ (queries, cache, locks, etc)","readme":"# About dashboard\n\nA dashboard with an overview for RabbitMQ metrics:\n\n* Queued messages  status (ready, acknowledged)\n* Messages rate (ack, publish, redeliver)\n* Global counters (channels, connections, consumers, exchanges, queues)\n* Memory and disk usage\n* Opened file and socket descriptors\n* Erlang processes\n\nMore dashboards for Netdata you can find [here](https://grafana.com/orgs/osshelp).\n\n# How to use\n\n## Netdata setup\n\nFollow [these instructions](https://learn.netdata.cloud/docs/agent/collectors/python.d.plugin/rabbitmq) to setup RabbitMQ monitoring in Netdata.\n\n## Prometheus setup\n\nPlease note that you need [Netdata as an exporter for metrics](https://learn.netdata.cloud/docs/agent/backends/prometheus). Plus, these labels are mandatory:\n\n* job\n* env\n* instance\n* group\n* source\n\nIn your prometheus.yml it should look like this:\n\n```yaml\n- job_name: netdata\n  metrics_path: /api/v1/allmetrics?format=prometheus_all_hosts&source=raw\n  relabel_configs:\n  - source_labels: [__address__]\n    regex: ^(.+)\\.\\w+:\\d+\n    target_label: instance\n    action: replace\n  static_configs:\n  - targets: [netdata.hostname.here:19999]\n    labels:\n      env: production\n      group: applications\n      source: newproject\n```\n\n**WARNING**: Without these labels, this dashboard won't be fully functioning.\n\n## Links\n\n* [Ansible role for RabbitMQ](https://github.com/OSSHelp/ansible-rabbitmq)\n* [Ansible role for Netdata](https://github.com/OSSHelp/ansible-netdata)\n* [Docker image with Netdata](https://hub.docker.com/r/osshelp/netdata)\n\n## License\n\nGPL3\n\n## Author\n\nOSSHelp Team, see <https://oss.help>\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-02-19T22:14:46.000Z","updatedAt":"2021-03-22T00:18:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13934"},{"rel":"revisions","href":"/dashboards/13934/revisions"},{"rel":"revision","href":"/dashboards/13934/revisions/1"},{"rel":"download","href":"/dashboards/13934/revisions/1/download"},{"rel":"org","href":"/orgs/osshelp"},{"rel":"images","href":"/dashboards/13934/images"},{"rel":"thumbnails","href":"/dashboards/13934/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13932,"status":1,"statusCode":"active","orgId":119602,"orgSlug":"osshelp","orgName":"OSSHelp","slug":"redis-overview","downloads":784,"revisionId":20406,"revision":1,"name":"Netdata: Redis Overview","description":"Detailed stats for Redis (requests, memory, bandwidth, etc)","readme":"# About dashboard\n\nA dashboard with an overview for Redis metrics:\n\n* Operations and commands\n* Bandwidth in and out\n* Hit rate\n* Memory usage (lua, total, max)\n* Connections (received, rejected)\n* Clients (blocked, connected)\n* Replication (slaves, etc)\n* Persistence events\n\nMore dashboards for Netdata you can find [here](https://grafana.com/orgs/osshelp).\n\n# How to use\n\n## Netdata setup\n\nFollow [these instructions](https://learn.netdata.cloud/docs/agent/collectors/python.d.plugin/redis) to setup Redis monitoring in Netdata.\n\n## Prometheus setup\n\nPlease note that you need [Netdata as an exporter for metrics](https://learn.netdata.cloud/docs/agent/backends/prometheus). Plus, these labels are mandatory:\n\n* job\n* env\n* instance\n* group\n* source\n\nIn your prometheus.yml it should look like this:\n\n```yaml\n- job_name: netdata\n  metrics_path: /api/v1/allmetrics?format=prometheus_all_hosts&source=raw\n  relabel_configs:\n  - source_labels: [__address__]\n    regex: ^(.+)\\.\\w+:\\d+\n    target_label: instance\n    action: replace\n  static_configs:\n  - targets: [netdata.hostname.here:19999]\n    labels:\n      env: production\n      group: applications\n      source: newproject\n```\n\n**WARNING**: Without these labels, this dashboard won't be fully functioning.\n\n## Links\n\n* [Ansible role for Redis](https://github.com/OSSHelp/ansible-redis)\n* [Ansible role for Netdata](https://github.com/OSSHelp/ansible-netdata)\n* [Docker image with Netdata](https://hub.docker.com/r/osshelp/netdata)\n\n## License\n\nGPL3\n\n## Author\n\nOSSHelp Team, see <https://oss.help>\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-02-19T21:59:57.000Z","updatedAt":"2021-03-22T00:19:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13932"},{"rel":"revisions","href":"/dashboards/13932/revisions"},{"rel":"revision","href":"/dashboards/13932/revisions/1"},{"rel":"download","href":"/dashboards/13932/revisions/1/download"},{"rel":"org","href":"/orgs/osshelp"},{"rel":"images","href":"/dashboards/13932/images"},{"rel":"thumbnails","href":"/dashboards/13932/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13744,"status":1,"statusCode":"active","orgId":119602,"orgSlug":"osshelp","orgName":"OSSHelp","slug":"services-stats","downloads":367,"revisionId":20116,"revision":2,"name":"Netdata: Services Stats","description":"Per service overview (cpu, ram, io, etc)","readme":"# About dashboard\n\nA simple dashboard with per-service overview (basicaly cgroups from systemd):\n\n* CPU\n* RAM\n* Disks I/O and bandwidth\n\nMore dashboards for Netdata you can find [here](https://grafana.com/orgs/osshelp).\n\n# How to use\n\n## Netdata setup\n\nFollow [these instructions](https://learn.netdata.cloud/docs/agent/collectors/cgroups.plugin) to setup systemd monitoring in Netdata.\n\n## Prometheus setup\n\nPlease note that you need [Netdata as an exporter for metrics](https://learn.netdata.cloud/docs/agent/backends/prometheus). Plus, these labels are mandatory:\n\n* job\n* env\n* instance\n* group\n* source\n\nIn your prometheus.yml it should look like this:\n\n```yaml\n- job_name: netdata\n  metrics_path: /api/v1/allmetrics?format=prometheus_all_hosts&source=raw\n  relabel_configs:\n  - source_labels: [__address__]\n    regex: ^(.+)\\.\\w+:\\d+\n    target_label: instance\n    action: replace\n  static_configs:\n  - targets: [netdata.hostname.here:19999]\n    labels:\n      env: production\n      group: applications\n      source: newproject\n```\n\n**WARNING**: Without these labels, this dashboard won't be fully functioning.\n\n## Links\n\n* [Ansible role for Netdata](https://github.com/OSSHelp/ansible-netdata)\n* [Docker image with Netdata](https://hub.docker.com/r/osshelp/netdata)\n\n## License\n\nGPL3\n\n## Author\n\nOSSHelp Team, see <https://oss.help>\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-19T20:14:12.000Z","updatedAt":"2021-02-19T21:48:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13744"},{"rel":"revisions","href":"/dashboards/13744/revisions"},{"rel":"revision","href":"/dashboards/13744/revisions/2"},{"rel":"download","href":"/dashboards/13744/revisions/2/download"},{"rel":"org","href":"/orgs/osshelp"},{"rel":"images","href":"/dashboards/13744/images"},{"rel":"thumbnails","href":"/dashboards/13744/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13743,"status":1,"statusCode":"active","orgId":119602,"orgSlug":"osshelp","orgName":"OSSHelp","slug":"users-stats","downloads":368,"revisionId":20132,"revision":2,"name":"Netdata: Users Stats","description":"Per user overview (cpu/ram/io/net/etc)\n","readme":"# About dashboard\n\nA simple dashboard with an overview of per-user activity:\n\n* CPU (user and system)\n* RAM and swap\n* Disks I/O\n* Network bandwidth and PPS\n* Process and threads\n* Number of open files, sockets, pipes\n* Minor and major page faults\n\nMore dashboards for Netdata you can find [here](https://grafana.com/orgs/osshelp).\n\n# How to use\n\n## Netdata setup\n\nFollow [these instructions](https://learn.netdata.cloud/docs/agent/collectors/apps.plugin) to setup users monitoring in Netdata.\n\n## Prometheus setup\n\nPlease note that you need [Netdata as an exporter for metrics](https://learn.netdata.cloud/docs/agent/backends/prometheus). Plus, these labels are mandatory:\n\n* job\n* env\n* instance\n* group\n* source\n\nIn your prometheus.yml it should look like this:\n\n```yaml\n- job_name: netdata\n  metrics_path: /api/v1/allmetrics?format=prometheus_all_hosts&source=raw\n  relabel_configs:\n  - source_labels: [__address__]\n    regex: ^(.+)\\.\\w+:\\d+\n    target_label: instance\n    action: replace\n  static_configs:\n  - targets: [netdata.hostname.here:19999]\n    labels:\n      env: production\n      group: applications\n      source: newproject\n```\n\n**WARNING**: Without these labels, this dashboard won't be fully functioning.\n\n## Links\n\n* [Ansible role for Netdata](https://github.com/OSSHelp/ansible-netdata)\n* [Docker image with Netdata](https://hub.docker.com/r/osshelp/netdata)\n\n## License\n\nGPL3\n\n## Author\n\nOSSHelp Team, see <https://oss.help>\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-19T19:57:01.000Z","updatedAt":"2021-03-22T00:01:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13743"},{"rel":"revisions","href":"/dashboards/13743/revisions"},{"rel":"revision","href":"/dashboards/13743/revisions/2"},{"rel":"download","href":"/dashboards/13743/revisions/2/download"},{"rel":"org","href":"/orgs/osshelp"},{"rel":"images","href":"/dashboards/13743/images"},{"rel":"thumbnails","href":"/dashboards/13743/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13774,"status":1,"statusCode":"active","orgId":119602,"orgSlug":"osshelp","orgName":"OSSHelp","slug":"weblog-overview","downloads":346,"revisionId":20136,"revision":1,"name":"Netdata: Weblog Overview","description":"Graphs and stats from Netdata's web_log module","readme":"# About dashboard\n\nA dashboard with an overview of metrics from [weblog plugin](https://learn.netdata.cloud/docs/agent/collectors/python.d.plugin/web_log):\n\n* HTTP statuses (error codes, sent to client)\n* HTTP Timings (requests grouped by response time)\n* HTTP URI  (requests by common prefix)\n* HTTP Bandwidth (sent and received)\n* HTTP Methods (GET, POST, HEAD, etc)\n* HTTP Versions (1.x. 2.0)\n* Unique IP's\n* Requests via IPv4 and IPv6\n\nMore dashboards for Netdata you can find [here](https://grafana.com/orgs/osshelp).\n\n# How to use\n\n## Netdata setup\n\nFollow [these instructions](https://learn.netdata.cloud/docs/agent/collectors/python.d.plugin/web_log) to get metrics from web server logs in Netdata.\n\n## Prometheus setup\n\nPlease note that you need [Netdata as an exporter for metrics](https://learn.netdata.cloud/docs/agent/backends/prometheus). Plus, these labels are mandatory:\n\n* job\n* env\n* instance\n* group\n* source\n\nIn your prometheus.yml it should look like this:\n\n```yaml\n- job_name: netdata\n  metrics_path: /api/v1/allmetrics?format=prometheus_all_hosts&source=raw\n  relabel_configs:\n  - source_labels: [__address__]\n    regex: ^(.+)\\.\\w+:\\d+\n    target_label: instance\n    action: replace\n  static_configs:\n  - targets: [netdata.hostname.here:19999]\n    labels:\n      env: production\n      group: applications\n      source: newproject\n```\n\n**WARNING**: Without these labels, this dashboard won't be fully functioning.\n\n## Links\n\n* [Ansible role for Netdata](https://github.com/OSSHelp/ansible-netdata)\n* [Docker image with Netdata](https://hub.docker.com/r/osshelp/netdata)\n\n## License\n\nGPL3\n\n## Author\n\nOSSHelp Team, see <https://oss.help>\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-25T16:16:33.000Z","updatedAt":"2021-02-19T21:49:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13774"},{"rel":"revisions","href":"/dashboards/13774/revisions"},{"rel":"revision","href":"/dashboards/13774/revisions/1"},{"rel":"download","href":"/dashboards/13774/revisions/1/download"},{"rel":"org","href":"/orgs/osshelp"},{"rel":"images","href":"/dashboards/13774/images"},{"rel":"thumbnails","href":"/dashboards/13774/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11408,"status":1,"statusCode":"active","orgId":261941,"orgSlug":"mohammadjavadmohebbi","orgName":"mohammadjavadmohebbi","slug":"netflow-exporter-overview","downloads":2323,"revisionId":16010,"revision":1,"name":"Netflow Exporter Overview","description":"Show a Summary from Netflow Exporter Devices","readme":"# Netflow Exporters Overview Dashboard\n\nTo get more information about this dashboard see [https://github.com/javadmohebbi/nfCollector](https://github.com/javadmohebbi/nfCollector)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-12-14T07:11:11.000Z","updatedAt":"2020-01-22T21:02:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11408"},{"rel":"revisions","href":"/dashboards/11408/revisions"},{"rel":"revision","href":"/dashboards/11408/revisions/1"},{"rel":"download","href":"/dashboards/11408/revisions/1/download"},{"rel":"org","href":"/orgs/mohammadjavadmohebbi"},{"rel":"images","href":"/dashboards/11408/images"},{"rel":"thumbnails","href":"/dashboards/11408/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22592,"status":1,"statusCode":"active","orgId":1314302,"orgSlug":"b228c236","orgName":"b228c236","slug":"netflow-exporter-overview","downloads":334,"revisionId":35595,"revision":1,"name":"Netflow Exporter 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Its main purpose is checking of connectivity between the cluster's nodes.\r\n\r\nNet checker project for Kubernetes:\r\n[https://github.com/Mirantis/k8s-netchecker-server](https://github.com/Mirantis/k8s-netchecker-server)\r\n\r\nYou can find here a helm chart we're using at [MySocialApp](https://mysocialapp.io) (iOS and Android social app builder - SaaS):\r\n[https://github.com/MySocialApp/kubernetes-helm-chart-netchecker-server](https://github.com/MySocialApp/kubernetes-helm-chart-netchecker-server)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-04-23T02:45:01.000Z","updatedAt":"2018-04-24T20:09:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5727"},{"rel":"revisions","href":"/dashboards/5727/revisions"},{"rel":"revision","href":"/dashboards/5727/revisions/2"},{"rel":"download","href":"/dashboards/5727/revisions/2/download"},{"rel":"org","href":"/orgs/deimosfr"},{"rel":"images","href":"/dashboards/5727/images"},{"rel":"thumbnails","href":"/dashboards/5727/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11953,"status":1,"statusCode":"active","orgId":362096,"orgSlug":"patmm010","orgName":"Manish Patel","slug":"network-dashboard","downloads":3101,"revisionId":16963,"revision":1,"name":"Network Device Dashboard ","description":"Created a network dashboard to monitor device status + Interfaces.  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","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2020-03-20T03:00:13.000Z","updatedAt":"2020-03-20T03:09:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11953"},{"rel":"revisions","href":"/dashboards/11953/revisions"},{"rel":"revision","href":"/dashboards/11953/revisions/1"},{"rel":"download","href":"/dashboards/11953/revisions/1/download"},{"rel":"org","href":"/orgs/patmm010"},{"rel":"images","href":"/dashboards/11953/images"},{"rel":"thumbnails","href":"/dashboards/11953/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":23496,"status":1,"statusCode":"active","orgId":1411695,"orgSlug":"nataliamontoyahernandezz","orgName":"nataliamontoyahernandezz","slug":"network-device-dashboard","downloads":478,"revisionId":37358,"revision":1,"name":"Network Device Dashboard","description":"Created a network dashboard to monitor device status + Interfaces.  Hopefully, it helps the community.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Zabbix","privacy":"public","createdAt":"2025-05-29T16:15:37.000Z","updatedAt":"2025-05-29T16:16:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23496"},{"rel":"revisions","href":"/dashboards/23496/revisions"},{"rel":"revision","href":"/dashboards/23496/revisions/1"},{"rel":"download","href":"/dashboards/23496/revisions/1/download"},{"rel":"org","href":"/orgs/nataliamontoyahernandezz"},{"rel":"images","href":"/dashboards/23496/images"},{"rel":"thumbnails","href":"/dashboards/23496/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":10488,"status":1,"statusCode":"active","orgId":262056,"orgSlug":"mkoerper","orgName":"mkoerper","slug":"network-interface-stats","downloads":5001,"revisionId":14682,"revision":2,"name":"Network Interface 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\"IF-MIB::ifDescr\"\r\n      is_tag = true\r\n~~~~","collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2019-07-07T12:41:30.000Z","updatedAt":"2019-07-09T19:10:19.000Z","isEditor":false,"hasLogo":false,"reviewsCount":3,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/10488"},{"rel":"revisions","href":"/dashboards/10488/revisions"},{"rel":"revision","href":"/dashboards/10488/revisions/2"},{"rel":"download","href":"/dashboards/10488/revisions/2/download"},{"rel":"org","href":"/orgs/mkoerper"},{"rel":"images","href":"/dashboards/10488/images"},{"rel":"thumbnails","href":"/dashboards/10488/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10668,"status":1,"statusCode":"active","orgId":272699,"orgSlug":"mallen","orgName":"mallen","slug":"network-interface-stats","downloads":670,"revisionId":14895,"revision":1,"name":"Network Interface Stats","description":"Templated dashboard which provides an overview for your router/switch ports and 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metrics database\r\n[[inputs.snmp.table.field]]\r\nname = \"ifDescr\"\r\noid = \"IF-MIB::ifDescr\"\r\nis_tag = true\r\n# EtherLike-MIB::dot3StatsTable contains detailed ethernet-level information about what kind of errors have been logged on an interface (such as FCS error, frame too long, etc)\r\n[[inputs.snmp.table]]\r\nname = \"interface\"\r\ninherit_tags = [ \"hostname\" ]\r\noid = \"EtherLike-MIB::dot3StatsTable\"\r\n# Interface tag - used to identify interface in metrics database\r\n[[inputs.snmp.table.field]]\r\nname = \"ifDescr\"\r\noid = \"IF-MIB::ifDescr\"\r\nis_tag = true\r\n~~","collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2024-02-08T03:38:10.000Z","updatedAt":"2024-02-08T03:43:19.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20436"},{"rel":"revisions","href":"/dashboards/20436/revisions"},{"rel":"revision","href":"/dashboards/20436/revisions/1"},{"rel":"download","href":"/dashboards/20436/revisions/1/download"},{"rel":"org","href":"/orgs/pjambhale"},{"rel":"images","href":"/dashboards/20436/images"},{"rel":"thumbnails","href":"/dashboards/20436/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12261,"status":1,"statusCode":"active","orgId":325970,"orgSlug":"mbelloiseau","orgName":"mbelloiseau","slug":"network-latency-1","downloads":2151,"revisionId":17495,"revision":1,"name":"Network Latency","description":"Track network latency with Telegraf, InfluxDB and Grafana","readme":"Configure Telegraf ping input and that's it.\r\n\r\nOr you 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1.0\r\n```","collectorPluginList":"ping","datasource":"InfluxDB","privacy":"public","createdAt":"2020-05-09T19:34:40.000Z","updatedAt":"2020-05-09T19:51:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12261"},{"rel":"revisions","href":"/dashboards/12261/revisions"},{"rel":"revision","href":"/dashboards/12261/revisions/1"},{"rel":"download","href":"/dashboards/12261/revisions/1/download"},{"rel":"org","href":"/orgs/mbelloiseau"},{"rel":"images","href":"/dashboards/12261/images"},{"rel":"thumbnails","href":"/dashboards/12261/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14716,"status":1,"statusCode":"active","orgId":500230,"orgSlug":"coccyx","orgName":"coccyx","slug":"network-latency-and-bandwidth","downloads":1185,"revisionId":21852,"revision":1,"name":"Network Latency and Bandwidth","description":"Latency statistics from MTR, Bandwith from Speedtest.net","readme":"This dashboard displays Internet latency 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Data is output from those utilities as JSON and then transformed by [Cribl LogStream](https://cribl.cloud/) and sent to Prometheus, where this dashboard queries the data. ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-07-11T21:00:08.000Z","updatedAt":"2021-07-11T21:07:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14716"},{"rel":"revisions","href":"/dashboards/14716/revisions"},{"rel":"revision","href":"/dashboards/14716/revisions/1"},{"rel":"download","href":"/dashboards/14716/revisions/1/download"},{"rel":"org","href":"/orgs/coccyx"},{"rel":"images","href":"/dashboards/14716/images"},{"rel":"thumbnails","href":"/dashboards/14716/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11563,"status":1,"statusCode":"active","orgId":336323,"orgSlug":"deviavir","orgName":"deviavir","slug":"network-monitoring","downloads":1711,"revisionId":16292,"revision":1,"name":"Network Monitoring","description":"The dashboard accompanying https://github.com/deviavir/k8s-quin","readme":"After having 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setup.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-14T18:17:27.000Z","updatedAt":"2020-01-14T18:19:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/11563"},{"rel":"revisions","href":"/dashboards/11563/revisions"},{"rel":"revision","href":"/dashboards/11563/revisions/1"},{"rel":"download","href":"/dashboards/11563/revisions/1/download"},{"rel":"org","href":"/orgs/deviavir"},{"rel":"images","href":"/dashboards/11563/images"},{"rel":"thumbnails","href":"/dashboards/11563/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20265,"status":1,"statusCode":"active","orgId":1025194,"orgSlug":"schund","orgName":"schund","slug":"network-monitoring","downloads":351,"revisionId":31236,"revision":1,"name":"Network Monitoring","description":"The dashboard accompanying 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[instructions/README](https://www.technicallywizardry.com/raspberry-pi-network-monitor/).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-07-09T16:52:05.000Z","updatedAt":"2020-09-30T12:37:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12619"},{"rel":"revisions","href":"/dashboards/12619/revisions"},{"rel":"revision","href":"/dashboards/12619/revisions/2"},{"rel":"download","href":"/dashboards/12619/revisions/2/download"},{"rel":"org","href":"/orgs/zaneclaes"},{"rel":"images","href":"/dashboards/12619/images"},{"rel":"thumbnails","href":"/dashboards/12619/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11206,"status":1,"statusCode":"active","orgId":101832,"orgSlug":"bswinnerton","orgName":"bswinnerton","slug":"traffic-analysis","downloads":2310,"revisionId":15640,"revision":1,"name":"Network Traffic Flow 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flow.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-17T23:47:00.000Z","updatedAt":"2019-11-17T23:54:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11206"},{"rel":"revisions","href":"/dashboards/11206/revisions"},{"rel":"revision","href":"/dashboards/11206/revisions/1"},{"rel":"download","href":"/dashboards/11206/revisions/1/download"},{"rel":"org","href":"/orgs/bswinnerton"},{"rel":"images","href":"/dashboards/11206/images"},{"rel":"thumbnails","href":"/dashboards/11206/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22901,"status":1,"statusCode":"active","orgId":1354221,"orgSlug":"akulpinov","orgName":"akulpinov","slug":"traffic-monitoring","downloads":563,"revisionId":36186,"revision":1,"name":"Network traffic monitoring","description":"Network traffic monitoring dashboard for eBPF network traffic exporter: https://github.com/kasd/texporter","readme":"The texporter project (https://github.com/kasd/texporter) is an eBPF-based network traffic exporter that captures and exposes network metrics for Prometheus. Given its functionality, a Grafana dashboard for it should provide a comprehensive view of network traffic, including byte transfer rates, per-host traffic breakdowns.\r\n\r\n## Grafana Dashboard\r\n\r\nThis dashboard visualizes network traffic metrics collected by texporter, helping users analyze network behavior, detect anomalies, and optimize performance. It consists of panels that display traffic statistics by source/destination.","collectorType":"Other","collectorConfig":null,"collectorPluginList":"Other","datasource":"Prometheus","privacy":"public","createdAt":"2025-02-20T13:13:43.000Z","updatedAt":"2025-02-20T13:42:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22901"},{"rel":"revisions","href":"/dashboards/22901/revisions"},{"rel":"revision","href":"/dashboards/22901/revisions/1"},{"rel":"download","href":"/dashboards/22901/revisions/1/download"},{"rel":"org","href":"/orgs/akulpinov"},{"rel":"images","href":"/dashboards/22901/images"},{"rel":"thumbnails","href":"/dashboards/22901/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18499,"status":1,"statusCode":"active","orgId":817319,"orgSlug":"ethpandaops","orgName":"ethpandaops","slug":"network-upgrades","downloads":269,"revisionId":28375,"revision":1,"name":"Network Upgrades","description":"A companion dashboard for observing Ethereum hard forks with https://github.com/ethpandaops/ethereum-metrics-exporter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-11T23:26:24.000Z","updatedAt":"2023-04-11T23:26:45.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18499"},{"rel":"revisions","href":"/dashboards/18499/revisions"},{"rel":"revision","href":"/dashboards/18499/revisions/1"},{"rel":"download","href":"/dashboards/18499/revisions/1/download"},{"rel":"org","href":"/orgs/ethpandaops"},{"rel":"images","href":"/dashboards/18499/images"},{"rel":"thumbnails","href":"/dashboards/18499/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10482,"status":1,"statusCode":"active","orgId":261695,"orgSlug":"vkorobov","orgName":"vkorobov","slug":"network-ups-tools","downloads":567,"revisionId":14641,"revision":1,"name":"Network UPS Tools","description":"Dashboard for Network UPS Tools https://github.com/vkorobov/ups-telegraf","readme":"Simple dashboard to view for data from [Network UPS Tools](https://networkupstools.org/)\r\n* Collect data by python script into InfluxDB\r\n* Display:\r\n  * UPS Status\r\n  * Load\r\n  * Input voltage\r\n  * Battery status\r\n  * Runtime\r\n\r\nGet script from [Github](https://github.com/vkorobov/ups-telegraf)","collectorType":"Telegraf","collectorConfig":"","collectorPluginList":"exec","datasource":"InfluxDB","privacy":"public","createdAt":"2019-07-05T08:00:30.000Z","updatedAt":"2019-07-05T08:20:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/10482"},{"rel":"revisions","href":"/dashboards/10482/revisions"},{"rel":"revision","href":"/dashboards/10482/revisions/1"},{"rel":"download","href":"/dashboards/10482/revisions/1/download"},{"rel":"org","href":"/orgs/vkorobov"},{"rel":"images","href":"/dashboards/10482/images"},{"rel":"thumbnails","href":"/dashboards/10482/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12205,"status":1,"statusCode":"active","orgId":377480,"orgSlug":"dietah","orgName":"dietah","slug":"network-ups-tools","downloads":592,"revisionId":17387,"revision":3,"name":"Network UPS Tools","description":"Dashboard for nut-http https://github.com/dietah/nut-http","readme":"See GitHub: [https://github.com/dietah/nut-http](https://github.com/dietah/nut-http)","collectorType":"Telegraf","collectorConfig":"telegraf.conf example:\n```\n[[inputs.http]]\n  urls = [\n    \"http://192.168.1.100:3001/devices/ups?parsed=true\"\n  ]\n\n  data_format = \"json\"\n  name_override = \"ups\"\n  tagexclude = [\"url\", \"host\"]\n  fielddrop = [\"driver_parameter_pollfreq\", \"driver_parameter_pollinterval\", \"ups_productid\"]\n  json_string_fields = [\"ups_model\", \"ups_status\", \"ups_beeper_status\"]\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-04-30T15:56:05.000Z","updatedAt":"2020-04-30T16:11:13.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12205"},{"rel":"revisions","href":"/dashboards/12205/revisions"},{"rel":"revision","href":"/dashboards/12205/revisions/3"},{"rel":"download","href":"/dashboards/12205/revisions/3/download"},{"rel":"org","href":"/orgs/dietah"},{"rel":"images","href":"/dashboards/12205/images"},{"rel":"thumbnails","href":"/dashboards/12205/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":25163,"status":1,"statusCode":"active","orgId":1060102,"orgSlug":"thecfu","orgName":"TheCfU","slug":"netzbremse","downloads":5,"revisionId":40482,"revision":1,"name":"Netzbremse","description":"Visualizes speedtest results from the netzbremse-measurement tool (https://github.com/AKVorrat/netzbremse-measurement) by AKVorrat. Shows download/upload speed, latency, and jitter over time. 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Dependencies\r\n- Change the permission of the log file. Usually access log file can be found at `/var/log/nginx/access/log`. You can also find the path of the access log file in nginx.conf(Nginx Configuration file) file. Provide the path in the tail plugin of Telegraf.\r\n- Enable the sub status module in Nginx, and add the following virtual host config in Nginx Web Server\r\n```\r\nserver {\r\n\tlisten 81 default_server;\r\n\tlisten [::]:81 default_server;\r\n\r\n\troot /var/www/html;\r\n\tindex index.html index.htm index.nginx-debian.html;\r\n\r\n\tserver_name _;\r\n\r\n\tlocation / {\r\n\t\ttry_files $uri $uri/ =404;\r\n\t}\r\n\r\n\tlocation /nginx_status {\r\n        \tstub_status;\r\n        \tallow 127.0.0.1;\r\n        \tdeny all;\r\n        }\r\n}\r\n```\r\n### Following the metrics monitor through the dashboard\r\n- CPU Usage\r\n- Current CPU Utilization %\r\n- Current Memory Utilization\r\n- Network Input\r\n- Network Ouput\r\n- Response 2XX / 5m\r\n- Total Response 200 Req. [24h]\r\n- Response 4XX  /5m\r\n- Total Response 404 Req. 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Telegraf\r\n---\r\n\r\n```\r\n[[inputs.nginx]]\r\n     urls = [\"http://localhost/nginx_status\"]\r\n```\r\n\r\n```\r\n[[inputs.logparser]]\r\n  files = [\"/var/log/nginx/access.log\"]\r\n  from_beginning = true\r\n  name_override = \"nginx_access_log\"\r\n  [inputs.logparser.grok]\r\n    patterns = 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Metricsreporter will grab information from `Geo dataset` with previous step data and make that a metrics for `Proemtheus` on `/metrics`.\r\n\r\n### for more information about that collector, visit collector [github page](https://github.com/Mtt6300/nginx-geo-metricsreporter)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-07-31T14:38:13.000Z","updatedAt":"2020-07-31T17:59:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12734"},{"rel":"revisions","href":"/dashboards/12734/revisions"},{"rel":"revision","href":"/dashboards/12734/revisions/1"},{"rel":"download","href":"/dashboards/12734/revisions/1/download"},{"rel":"org","href":"/orgs/najafimahdi10"},{"rel":"images","href":"/dashboards/12734/images"},{"rel":"thumbnails","href":"/dashboards/12734/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20760,"status":1,"statusCode":"active","orgId":938041,"orgSlug":"aarondesai","orgName":"aarondesai","slug":"nginx-geo-metricreporter-custom-nginx-log-format","downloads":273,"revisionId":32126,"revision":1,"name":"nginx geo metricreporter (Custom nginx log format)","description":"dashboard for nginx geo metricreporter (Custom nginx log format)","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"Aggregation plugin","datasource":"Prometheus","privacy":"public","createdAt":"2024-03-25T13:45:58.000Z","updatedAt":"2024-03-25T13:55:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20760"},{"rel":"revisions","href":"/dashboards/20760/revisions"},{"rel":"revision","href":"/dashboards/20760/revisions/1"},{"rel":"download","href":"/dashboards/20760/revisions/1/download"},{"rel":"org","href":"/orgs/aarondesai"},{"rel":"images","href":"/dashboards/20760/images"},{"rel":"thumbnails","href":"/dashboards/20760/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12733,"status":1,"statusCode":"active","orgId":327685,"orgSlug":"najafimahdi10","orgName":"Mtt6300","slug":"nginx-geo-metricreporter-default-nginx-log-format","downloads":686,"revisionId":18326,"revision":1,"name":"nginx geo metricreporter (Default nginx log format)","description":"dashboard for nginx geo metricreporter (Default nginx log format)\r\n","readme":"# [Nginx Geo MetricsReporter](https://github.com/Mtt6300/nginx-geo-metricsreporter)\r\nSimple metrcis reporter with Python for track visitors' location and where connected to [Nginx](\"https://www.nginx.com/\") webservice.\r\n\r\n## How it works\r\nNginx-parser, parsing Nginx `access.log` line by line, after recognizing any change in log file, a post request will be sent with some data like `$remote_addr` and `$host` to the Metricsreporter Webservice. 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Should also work with https://github.com/martin-helmich/prometheus-nginxlog-exporter\r\nDashboard is based on 15947.","readme":"# Nginx in docker:\r\n```\r\nlog_format main escape=json '{'\r\n    '\"time_local\":\"$time_local\",'\r\n    '\"remote_addr\":\"$remote_addr\",'\r\n     '\"request\":\"$request\",'\r\n     '\"status\":\"$status\",'\r\n     '\"body_bytes_sent\":\"$body_bytes_sent\",'\r\n     '\"http_referer\":\"$http_referer\",'\r\n     '\"http_user_agent\":\"$http_user_agent\",'\r\n     '\"http_x_forwarded_for\":\"$http_x_forwarded_for\",'\r\n     '\"request_time\":\"$request_time\"'\r\n  '}';\r\n  access_log /dev/stdout main;\r\n```\r\n# Docker compose:\r\n``` yaml\r\n  myweb:\r\n    image: 'my_nginx'\r\n    labels:\r\n      - \"servicename=myweb\"\r\n  vector:\r\n    image: 'timberio/vector:0.34.0-alpine'\r\n    ports:\r\n      - 9598:9598\r\n    volumes:\r\n      - ./vector034.yaml:/etc/vector/vector.yaml:ro\r\n      - /var/run/docker.sock:/var/run/docker.sock\r\n    command: [\"-c\", \"/etc/vector/vector.yaml\"]\r\n```\r\n\r\n# vector034.yaml:\r\n``` yaml\r\nsources:\r\n  nginx_logs:\r\n    type: \"docker_logs\"\r\n    include_labels:\r\n      - \"servicename=myweb\"\r\n\r\ntransforms:\r\n  parse_logs:\r\n    type: \"remap\"\r\n    inputs: [\"nginx_logs\"]\r\n    source: |\r\n      if !exists(.message) {\r\n        abort\r\n      }\r\n      cleaned, err = strip_whitespace(.message)\r\n      if err != null {\r\n        # log(\"Strip whitespace error: \" + err, level: \"error\")\r\n        cleaned = .message\r\n      }\r\n      \r\n      parsed, err = parse_json(cleaned)\r\n      if err != null {\r\n        # log(\"Parsing error: \" + err, level: \"error\")\r\n        abort\r\n      }\r\n      \r\n      .time_local = parsed.time_local\r\n      .remote_addr = parsed.remote_addr\r\n      .request = parsed.request\r\n      .status = parsed.status\r\n      .body_bytes_sent = parsed.body_bytes_sent\r\n      .http_referer = parsed.http_referer\r\n      .http_user_agent = parsed.http_user_agent\r\n      .http_x_forwarded_for = parsed.http_x_forwarded_for\r\n      .request_time = parsed.request_time\r\n      \r\n      request_parts, err = parse_regex(.request, r'^(?P<method>\\S+) (?P<uri>[^\\s]+) (?P<protocol>[^\"]+)$')\r\n      if err != null {\r\n        log(\"Request parsing error: \" + err, level: \"error\")\r\n        .request_method = \"UNKNOWN\"\r\n        .request_uri = \"/\"\r\n        .request_protocol = \"HTTP/1.1\"\r\n      } else {\r\n        .request_method = request_parts.method\r\n        .request_uri = request_parts.uri\r\n        .request_protocol = request_parts.protocol\r\n      }\r\n      \r\n      .body_bytes_sent, err = if .body_bytes_sent == \"\" || .body_bytes_sent == null { 0 } else { to_int(.body_bytes_sent) }\r\n      .request_method = if .request_method == \"\" || .request_method == null { \"UNKNOWN\" } else { .request_method }\r\n      .status = if .status == \"\" || .status == null { \"000\" } else { .status }\r\n      .request_uri = if .request_uri == \"\" || .request_uri == null { \"/\" } else { .request_uri }\r\n      .request_time, err = if .request_time == \"\" || .request_time == null { 0.0 } else { to_float(.request_time) }\r\n      \r\n      # log(\"Parsed log: \" + encode_json(.), level: \"debug\")\r\n\r\n  extract_metrics:\r\n    type: \"log_to_metric\"\r\n    inputs: [\"parse_logs\"]\r\n    metrics:\r\n      - type: \"counter\"\r\n        name: \"nginx_http_response_count_total\"\r\n        description: \"Total HTTP requests\"\r\n        field: \"status\"\r\n        tags:\r\n          method: \"{{ request_method }}\"\r\n          status: \"{{ status }}\"\r\n          path: \"{{ request_uri }}\"\r\n      - type: \"counter\"\r\n        name: \"nginx_http_response_size_bytes\"\r\n        description: \"Total bytes sent\"\r\n        field: \"body_bytes_sent\"\r\n        tags:\r\n          method: \"{{ request_method }}\"\r\n          status: \"{{ status }}\"\r\n      - type: \"histogram\"\r\n        name: \"nginx_http_response_time_seconds\"\r\n        description: \"Request processing time in seconds\"\r\n        field: \"request_time\"\r\n        tags:\r\n          method: \"{{ request_method }}\"\r\n          status: \"{{ status }}\"\r\n\r\nsinks:\r\n  prometheus_exporter:\r\n    type: \"prometheus_exporter\"\r\n    inputs: [\"extract_metrics\"]\r\n    address: \"0.0.0.0:9598\"\r\n```\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-03-10T22:28:41.000Z","updatedAt":"2025-03-10T22:39:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23059"},{"rel":"revisions","href":"/dashboards/23059/revisions"},{"rel":"revision","href":"/dashboards/23059/revisions/1"},{"rel":"download","href":"/dashboards/23059/revisions/1/download"},{"rel":"org","href":"/orgs/tegho"},{"rel":"images","href":"/dashboards/23059/images"},{"rel":"thumbnails","href":"/dashboards/23059/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8522,"status":1,"statusCode":"active","orgId":190265,"orgSlug":"ratibor78","orgName":"Alexey Nizhegolenko","slug":"nginx-logs-geo-map","downloads":1431,"revisionId":11696,"revision":1,"name":"NGINX LOGS & GEO MAP","description":"Nginx Logs and GEO map","readme":"All needed information about how make configuration of Nginx and Telegraf for this dashboard, you can get from my article:\r\n\r\nhttps://medium.com/@ratibor78/total-nginx-monitoring-with-application-performance-and-a-bit-more-using-8fc6d731051b","collectorType":"Telegraf","collectorConfig":"\r\n   \r\n   ","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-10-22T14:18:02.000Z","updatedAt":"2018-10-22T15:00:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8522"},{"rel":"revisions","href":"/dashboards/8522/revisions"},{"rel":"revision","href":"/dashboards/8522/revisions/1"},{"rel":"download","href":"/dashboards/8522/revisions/1/download"},{"rel":"org","href":"/orgs/ratibor78"},{"rel":"images","href":"/dashboards/8522/images"},{"rel":"thumbnails","href":"/dashboards/8522/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12268,"status":1,"statusCode":"active","orgId":173136,"orgSlug":"gilbn","orgName":"gilbn","slug":"nginx-logs-geo-map","downloads":5271,"revisionId":20120,"revision":17,"name":"NGINX LOGS & GEO MAP","description":"Nginx Logs and GEO map","readme":"## Nginx Logs and GEO map dashboard for the linuxserver/letsencrypt Geoip2Influx docker mod.\r\nNeeds the [grafana-worldmap-panel](https://grafana.com/grafana/plugins/grafana-worldmap-panel/?tab=installation)\r\n\r\n## Instructions: \r\n**linuxserver/swag dockermod:**\r\n\r\n[https://github.com/linuxserver/docker-mods/tree/swag-geoip2influx](https://github.com/linuxserver/docker-mods/tree/swag-geoip2influx)\r\n\r\n**Standalone docker container:**\r\n\r\nSee [https://github.com/gilbN/geoip2influx](https://github.com/gilbN/geoip2influx) for a dashboard that supports latest version of Grafana\r\n\r\n[https://github.com/gilbN/geoip2influx](https://github.com/gilbN/geoip2influx)\r\n\r\n**Updates:**\r\n\r\n* 10.08.24: See [https://github.com/gilbN/geoip2influx](https://github.com/gilbN/geoip2influx) for a dashboard that supports latest version of Grafana\r\n\r\n* 23.01.21: Set Top visited domains/Top IP/Top 15 countries to the new table visualization \r\n\r\n* 22.06.20 : Added domain variable filtering. \r\n\r\n* 21.06.20: Added domain in nginx logs\r\n\r\n* 18.06.20: Added city, country code and country name variable filter to nginx logs\r\n\r\n* 30.05.20: Fixed city variable \r\n\r\n* 25.05.20: Added more drilldown variables. 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Mail Auth Server\r\n\r\nGitHub: [https://github.com/reinvented-stuff/nginx-mail-auth-http-server](https://github.com/reinvented-stuff/nginx-mail-auth-http-server)\r\n\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-06-10T18:57:46.000Z","updatedAt":"2022-11-18T03:51:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16427"},{"rel":"revisions","href":"/dashboards/16427/revisions"},{"rel":"revision","href":"/dashboards/16427/revisions/2"},{"rel":"download","href":"/dashboards/16427/revisions/2/download"},{"rel":"org","href":"/orgs/pavelkim"},{"rel":"images","href":"/dashboards/16427/images"},{"rel":"thumbnails","href":"/dashboards/16427/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8531,"status":1,"statusCode":"active","orgId":190265,"orgSlug":"ratibor78","orgName":"Alexey Nizhegolenko","slug":"nginx-metrics","downloads":5281,"revisionId":11705,"revision":1,"name":"NGINX METRICS","description":"Performance metrics for Nginx","readme":"All needed information about how make configuration of Nginx and Telegraf for this dashboard, you can get from my article:\r\n\r\nhttps://medium.com/@ratibor78/total-nginx-monitoring-with-application-performance-and-a-bit-more-using-8fc6d731051b","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"nginx, exec","datasource":"InfluxDB","privacy":"public","createdAt":"2018-10-22T14:26:19.000Z","updatedAt":"2018-10-22T15:00:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/8531"},{"rel":"revisions","href":"/dashboards/8531/revisions"},{"rel":"revision","href":"/dashboards/8531/revisions/1"},{"rel":"download","href":"/dashboards/8531/revisions/1/download"},{"rel":"org","href":"/orgs/ratibor78"},{"rel":"images","href":"/dashboards/8531/images"},{"rel":"thumbnails","href":"/dashboards/8531/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21987,"status":1,"statusCode":"active","orgId":262655,"orgSlug":"webmaster1989","orgName":"webmaster1989","slug":"nginx-metrics","downloads":1259,"revisionId":35186,"revision":3,"name":"Nginx Metrics","description":"Performance metrics for Nginx (or OpenResty).","readme":"Do not forget to enable `server_status` location configuration in your main server Nginx section. For example:\r\n\r\n```\r\n    location /server_status {\r\n        # Turn on nginx stats\r\n        stub_status on;\r\n        access_log   off;\r\n        # Security: Only allow access from the following IPs\r\n        allow 127.0.0.1;\r\n        allow 192.168.1.0/24;\r\n        deny all;\r\n    }\r\n```\r\n\r\n`inputs.nginx` plugin will use this data for gather the Nginx metrics.\r\n\r\nAnd the `inputs.tail` plugin will be used together with grok parser to retrieve data from the Nginx access log.\r\n\r\nIf you wish to use Angie (fork of Nginx), please use my other dashboard: [https://grafana.com/grafana/dashboards/24461-angie-metrics/](https://grafana.com/grafana/dashboards/24461-angie-metrics/)","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.nginx]]\r\n    urls = [\"https://yourdomain.com/server_status\"]\r\n\r\n\r\n[[inputs.tail]]\r\n  files = [\"/var/log/nginx/access.log\"]\r\n  from_beginning = true\r\n  grok_patterns = [\"%{IPORHOST:remote_ip}%{SPACE}-%{SPACE}%{DATA:user_name}%{SPACE}\\\\[%{HTTPDATE:access_time}\\\\]%{SPACE}\\\"%{WORD:http_method:tag}%{SPACE}%{DATA:url}%{SPACE}HTTP/%{NUMBER:http_version:float}\\\" %{NUMBER:response_code:tag}%{SPACE}%{NUMBER:body_sent_bytes:int} \\\"%{DATA:referrer}\\\" \\\"%{DATA:agent}\\\"%{SPACE}(\\\"%{DATA:domainname:tag}\\\")?%{SPACE}(%{NUMBER:request_time:float})?\"]\r\n  name_override = \"nginx_access_log\"\r\n  grok_custom_pattern_files = []\r\n  grok_custom_patterns = '''\r\n  '''\r\n  grok_timezone = \"Europe/Amsterdam\"\r\n  data_format = \"grok\"\r\n```","collectorPluginList":"nginx, tail","datasource":"InfluxDB","privacy":"public","createdAt":"2024-09-28T12:01:28.000Z","updatedAt":"2025-11-24T18:48:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21987"},{"rel":"revisions","href":"/dashboards/21987/revisions"},{"rel":"revision","href":"/dashboards/21987/revisions/3"},{"rel":"download","href":"/dashboards/21987/revisions/3/download"},{"rel":"org","href":"/orgs/webmaster1989"},{"rel":"images","href":"/dashboards/21987/images"},{"rel":"thumbnails","href":"/dashboards/21987/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16485,"status":1,"statusCode":"active","orgId":490183,"orgSlug":"nguyenchihoa","orgName":"nguyenchihoa","slug":"nginx-modsecurity-owasp","downloads":796,"revisionId":25166,"revision":3,"name":"NGINX ModSecurity OWASP","description":"","readme":"Dependencies:\r\nNginx ModSecurity OWASP\r\nFilebeat\r\nRedis\r\nLogstash\r\nElasticsearch\r\nGrafana\r\n\r\n*Guide A--> Z\r\n\r\nhttps://nguyenchihoa.blogspot.com/2022/06/","collectorType":"Beats","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2022-06-22T04:29:18.000Z","updatedAt":"2022-06-23T00:49:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16485"},{"rel":"revisions","href":"/dashboards/16485/revisions"},{"rel":"revision","href":"/dashboards/16485/revisions/3"},{"rel":"download","href":"/dashboards/16485/revisions/3/download"},{"rel":"org","href":"/orgs/nguyenchihoa"},{"rel":"images","href":"/dashboards/16485/images"},{"rel":"thumbnails","href":"/dashboards/16485/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":15495,"status":1,"statusCode":"active","orgId":584794,"orgSlug":"coffeeflash","orgName":"coffeeflash","slug":"nginx-modsecurity-owasp-crs-v0-0","downloads":1633,"revisionId":23380,"revision":1,"name":"NGINX ModSecurity OWASP CRS V0.0","description":"Dashboard to work with ModSecurity and the OWASP Coreruleset.","readme":"Dashboard to work with ModSecurity and the OWASP Coreruleset. Especially in a early phase of deploying it to handle and adjust false positives quickly. Depending on the applications behind the waf it is very practical also for maintenance...\r\n\r\n## Dependencies\r\n* loki\r\n* nginx error logs (default)\r\n* modsecurity\r\n* OWASP Coreruleset\r\n\r\n## How to get the data\r\nI sent the default error logs of NGINX (where modsecurity also writes the information, this dashboard needs) with promtail to a loki instance.\r\n\r\nIf you need more information. I summarized my setup [here](https://tobisyurt.net/modsecurity-nginx).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2022-01-07T10:23:38.000Z","updatedAt":"2022-02-23T21:20:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15495"},{"rel":"revisions","href":"/dashboards/15495/revisions"},{"rel":"revision","href":"/dashboards/15495/revisions/1"},{"rel":"download","href":"/dashboards/15495/revisions/1/download"},{"rel":"org","href":"/orgs/coffeeflash"},{"rel":"images","href":"/dashboards/15495/images"},{"rel":"thumbnails","href":"/dashboards/15495/thumbnails"}]},{"id":13816,"status":1,"statusCode":"active","orgId":460313,"orgSlug":"bboysoul","orgName":"bboysoul","slug":"nginx","downloads":528,"revisionId":20219,"revision":1,"name":"nginx monitor","description":"nginx monitor","readme":"nginx监控","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-02-02T08:56:03.000Z","updatedAt":"2021-02-02T09:01:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13816"},{"rel":"revisions","href":"/dashboards/13816/revisions"},{"rel":"revision","href":"/dashboards/13816/revisions/1"},{"rel":"download","href":"/dashboards/13816/revisions/1/download"},{"rel":"org","href":"/orgs/bboysoul"},{"rel":"images","href":"/dashboards/13816/images"},{"rel":"thumbnails","href":"/dashboards/13816/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15678,"status":1,"statusCode":"active","orgId":585607,"orgSlug":"skenderidis","orgName":"skenderidis","slug":"bot-dashboard","downloads":389,"revisionId":24550,"revision":5,"name":"NGINX NAP BOT Dashboard","description":"This Dashboard provides more visibility into the Bot logs generated by NGINX App Protect. This is part of a series of NGINX App Protect Dashboards","readme":"Please refer to the [GitHub Repo](https://github.com/skenderidis/nap-dashboard) for details on how to setup the entire solution that includes the following Dashboards:\r\n- NAP Main Dashboard\r\n- BOT Dashboard\r\n- Attack Signatures Dashboard\r\n- Support ID\r\n- more","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2022-02-07T04:52:13.000Z","updatedAt":"2022-04-27T05:26:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15678"},{"rel":"revisions","href":"/dashboards/15678/revisions"},{"rel":"revision","href":"/dashboards/15678/revisions/5"},{"rel":"download","href":"/dashboards/15678/revisions/5/download"},{"rel":"org","href":"/orgs/skenderidis"},{"rel":"images","href":"/dashboards/15678/images"},{"rel":"thumbnails","href":"/dashboards/15678/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":15675,"status":1,"statusCode":"active","orgId":585607,"orgSlug":"skenderidis","orgName":"skenderidis","slug":"nap-dashboard","downloads":428,"revisionId":24551,"revision":4,"name":"NGINX NAP Main Dashboard","description":"This Dashboard provides more visibility into the logs generated by NGINX App Protect. This is part of a series of NGINX App Protect Dashboards","readme":"Please refer to the [GitHub Repo](https://github.com/skenderidis/nap-dashboard) for details on how to setup the entire solution that includes the following Dashboards:\r\n- NAP Main Dashboard\r\n- BOT Dashboard\r\n- Attack Signatures Dashboard\r\n- Support ID\r\n- more","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2022-02-07T04:17:44.000Z","updatedAt":"2022-04-27T05:25:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15675"},{"rel":"revisions","href":"/dashboards/15675/revisions"},{"rel":"revision","href":"/dashboards/15675/revisions/4"},{"rel":"download","href":"/dashboards/15675/revisions/4/download"},{"rel":"org","href":"/orgs/skenderidis"},{"rel":"images","href":"/dashboards/15675/images"},{"rel":"thumbnails","href":"/dashboards/15675/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":17298,"status":1,"statusCode":"active","orgId":734522,"orgSlug":"dvirus89","orgName":"dvirus89","slug":"nginx-nap-main-dashboard","downloads":285,"revisionId":26601,"revision":1,"name":"NGINX NAP Main Dashboard","description":"This Dashboard provides more visibility into the logs generated by NGINX App Protect. This is part of a series of NGINX App Protect Dashboards","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2022-10-28T21:27:38.000Z","updatedAt":"2022-10-28T21:27:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17298"},{"rel":"revisions","href":"/dashboards/17298/revisions"},{"rel":"revision","href":"/dashboards/17298/revisions/1"},{"rel":"download","href":"/dashboards/17298/revisions/1/download"},{"rel":"org","href":"/orgs/dvirus89"},{"rel":"images","href":"/dashboards/17298/images"},{"rel":"thumbnails","href":"/dashboards/17298/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":17299,"status":1,"statusCode":"active","orgId":734522,"orgSlug":"dvirus89","orgName":"dvirus89","slug":"nginx-nap-main-dashboard","downloads":273,"revisionId":26602,"revision":1,"name":"NGINX NAP Main Dashboard","description":"This Dashboard provides more visibility into the logs generated by NGINX App Protect. This is part of a series of NGINX App Protect Dashboards","readme":"a","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2022-10-28T21:31:54.000Z","updatedAt":"2022-10-28T21:32:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17299"},{"rel":"revisions","href":"/dashboards/17299/revisions"},{"rel":"revision","href":"/dashboards/17299/revisions/1"},{"rel":"download","href":"/dashboards/17299/revisions/1/download"},{"rel":"org","href":"/orgs/dvirus89"},{"rel":"images","href":"/dashboards/17299/images"},{"rel":"thumbnails","href":"/dashboards/17299/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":15676,"status":1,"statusCode":"active","orgId":585607,"orgSlug":"skenderidis","orgName":"skenderidis","slug":"supportid","downloads":375,"revisionId":24552,"revision":4,"name":"NGINX NAP SupportID","description":"This Dashboard provides more visibility into a single incident logged by NGINX App Protect. This is part of a series of NGINX App Protect Dashboards","readme":"Please refer to the [GitHub Repo](https://github.com/skenderidis/nap-dashboard) for details on how to setup the entire solution that includes the following Dashboards:\r\n- NAP Main Dashboard\r\n- BOT Dashboard\r\n- Attack Signatures Dashboard\r\n- Support ID\r\n- more","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2022-02-07T04:50:01.000Z","updatedAt":"2022-04-27T05:26:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15676"},{"rel":"revisions","href":"/dashboards/15676/revisions"},{"rel":"revision","href":"/dashboards/15676/revisions/4"},{"rel":"download","href":"/dashboards/15676/revisions/4/download"},{"rel":"org","href":"/orgs/skenderidis"},{"rel":"images","href":"/dashboards/15676/images"},{"rel":"thumbnails","href":"/dashboards/15676/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":462,"status":1,"statusCode":"active","orgId":29304,"orgSlug":"lefthand","orgName":"lefthand","slug":"nginx","downloads":3348,"revisionId":606,"revision":1,"name":"Nginx Overview","description":"Shows stats built from the Prometheus Nginx plugin.","readme":"Displays stats from the Nginx Prometheus exporter:\r\n\r\nhttps://github.com/knyar/nginx-lua-prometheus\r\n\r\nAssumes you have a 'role' attribute on your servers. ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-09-17T00:43:17.000Z","updatedAt":"2016-09-17T00:52:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/462"},{"rel":"revisions","href":"/dashboards/462/revisions"},{"rel":"revision","href":"/dashboards/462/revisions/1"},{"rel":"download","href":"/dashboards/462/revisions/1/download"},{"rel":"org","href":"/orgs/lefthand"},{"rel":"images","href":"/dashboards/462/images"},{"rel":"thumbnails","href":"/dashboards/462/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4368,"status":1,"statusCode":"active","orgId":113592,"orgSlug":"cdn77com","orgName":"cdn77com","slug":"nginx-overview","downloads":903,"revisionId":7017,"revision":4,"name":"Nginx Overview","description":"Shows stats built from the Prometheus Nginx plugin.","readme":"Dashboard for nginx exporter [https://github.com/discordianfish/nginx_exporter/blob/master/nginx_exporter.go](https://github.com/discordianfish/nginx_exporter/blob/master/nginx_exporter.go)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-01-16T16:25:05.000Z","updatedAt":"2018-03-27T10:56:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4368"},{"rel":"revisions","href":"/dashboards/4368/revisions"},{"rel":"revision","href":"/dashboards/4368/revisions/4"},{"rel":"download","href":"/dashboards/4368/revisions/4/download"},{"rel":"org","href":"/orgs/cdn77com"},{"rel":"images","href":"/dashboards/4368/images"},{"rel":"thumbnails","href":"/dashboards/4368/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3096,"status":1,"statusCode":"active","orgId":82629,"orgSlug":"pregmatch","orgName":"Nikola Derikonjic","slug":"nginx-overview","downloads":624,"revisionId":4269,"revision":1,"name":"Nginx Overview","description":"Shows stats built from the Prometheus Nginx plugin.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-09-02T17:27:57.000Z","updatedAt":"2017-09-02T17:28:25.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3096"},{"rel":"revisions","href":"/dashboards/3096/revisions"},{"rel":"revision","href":"/dashboards/3096/revisions/1"},{"rel":"download","href":"/dashboards/3096/revisions/1/download"},{"rel":"org","href":"/orgs/pregmatch"},{"rel":"images","href":"/dashboards/3096/images"},{"rel":"thumbnails","href":"/dashboards/3096/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19314,"status":1,"statusCode":"active","orgId":895799,"orgSlug":"quanchenok","orgName":"quanchenok","slug":"nginx-plus-dashboard","downloads":1149,"revisionId":29609,"revision":1,"name":"NGINX Plus Dashboard","description":"Nginx plus native observability, through the dynamic module api output nginx plus real-time status data, including global statistics, ssl status, server / location / upstream status, upstream server active health check results. Enhance the reliability of nginx plus business operation, you can Inherit to any environment, including kubernetes.","readme":"### Enhancing Business Observability with NGINX Plus\r\n\r\nReference Document: [Prometheus-njs | NGINX Documentation](https://docs.nginx.com/nginx/admin-guide/dynamic-modules/prometheus-njs/)\r\n\r\n**NGINX Plus Running Configuration Example**\r\n\r\n```bash\r\nroot@nginx-plus-2:/# nginx -T\r\nnginx: the configuration file /etc/nginx/nginx.conf syntax is ok\r\nnginx: configuration file /etc/nginx/nginx.conf test is successful\r\n# configuration file /etc/nginx/nginx.conf:\r\n\r\nuser  nginx;\r\nworker_processes  auto;\r\n\r\nerror_log  /var/log/nginx/error.log notice;\r\npid        /var/run/nginx.pid;\r\nworker_rlimit_nofile 8192;\r\n\r\nload_module modules/ngx_http_js_module.so;\r\nload_module modules/ngx_otel_module.so;\r\n\r\nevents {\r\n    worker_connections  4096;\r\n}\r\n\r\n\r\nhttp {\r\n    include       /etc/nginx/mime.types;\r\n    default_type  application/octet-stream;\r\n\r\n    js_import /usr/share/nginx-plus-module-prometheus/prometheus.js;\r\n    subrequest_output_buffer_size 32k;\r\n\r\n    log_format  main  'cip: $remote_addr, time: [$time_local], request: \"$request\" '\r\n                      'upstream_addr: $upstream_addr, response_code: $status, referer: \"$http_referer\" '\r\n                      'ua: \"$http_user_agent\", xff: \"$http_x_forwarded_for\", upstream_cookie_uid: \"$upstream_cookie_uidsession\", cookie_uid: \"$cookie_uidsession\"'\r\n                      'limit_conn: $limit_conn_status, limit_req: $limit_req_status, request_time: $request_time';\r\n\r\n    access_log  /var/log/nginx/access.log  main buffer=16k;\r\n\r\n    sendfile        on;\r\n    tcp_nopush     on;\r\n\r\n    keepalive_timeout  128;\r\n    resolver 10.1.1.5 valid=10s ipv6=off status_zone=np-resolver;\r\n    resolver_timeout 2s;\r\n\r\n    gzip  on;\r\n\r\n    proxy_buffering on;\r\n    proxy_redirect off;\r\n    proxy_set_header X-Real-IP $remote_addr;\r\n    proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;\r\n    proxy_set_header Upgrade $http_upgrade;\r\n    proxy_set_header Connection \"\"; \r\n    proxy_set_header Accept-Encoding \"\";\r\n    proxy_set_header Host \"$host\";\r\n    proxy_http_version 1.1;\r\n    \r\n    proxy_connect_timeout 1;\r\n    proxy_read_timeout 3;\r\n    proxy_send_timeout 3;\r\n    \r\n    proxy_ignore_client_abort on;\r\n\r\n\r\n    # opentelemetry\r\n    otel_exporter {\r\n        endpoint telemetry.nginx.local:4317;\r\n    }\r\n    otel_trace         on;\r\n    otel_trace_context propagate;\r\n    otel_service_name  nginx.local:nginx;\r\n\r\n    include /etc/nginx/conf.d/*.conf;\r\n}\r\n\r\ninclude /etc/nginx/stream_conf.d/*.conf;\r\n\r\n# configuration file /etc/nginx/mime.types:\r\n\r\ntypes {\r\n    text/html                                        html htm shtml;\r\n    text/css                                         css;\r\n    text/xml                                         xml;\r\n    image/gif                                        gif;\r\n    image/jpeg                                       jpeg jpg;\r\n    application/javascript                           js;\r\n    application/atom+xml                             atom;\r\n    application/rss+xml                              rss;\r\n\r\n    text/mathml                                      mml;\r\n    text/plain                                       txt;\r\n    text/vnd.sun.j2me.app-descriptor                 jad;\r\n    text/vnd.wap.wml                                 wml;\r\n    text/x-component                                 htc;\r\n\r\n    image/avif                                       avif;\r\n    image/png                                        png;\r\n    image/svg+xml                                    svg svgz;\r\n    image/tiff                                       tif tiff;\r\n    image/vnd.wap.wbmp                               wbmp;\r\n    image/webp                                       webp;\r\n    image/x-icon                                     ico;\r\n    image/x-jng                                      jng;\r\n    image/x-ms-bmp                                   bmp;\r\n\r\n    font/woff                                        woff;\r\n    font/woff2                                       woff2;\r\n\r\n    application/java-archive                         jar war ear;\r\n    application/json                                 json;\r\n    application/mac-binhex40                         hqx;\r\n    application/msword                               doc;\r\n    application/pdf                                  pdf;\r\n    application/postscript                           ps eps ai;\r\n    application/rtf                                  rtf;\r\n    application/vnd.apple.mpegurl                    m3u8;\r\n    application/vnd.google-earth.kml+xml             kml;\r\n    application/vnd.google-earth.kmz                 kmz;\r\n    application/vnd.ms-excel                         xls;\r\n    application/vnd.ms-fontobject                    eot;\r\n    application/vnd.ms-powerpoint                    ppt;\r\n    application/vnd.oasis.opendocument.graphics      odg;\r\n    application/vnd.oasis.opendocument.presentation  odp;\r\n    application/vnd.oasis.opendocument.spreadsheet   ods;\r\n    application/vnd.oasis.opendocument.text          odt;\r\n    application/vnd.openxmlformats-officedocument.presentationml.presentation\r\n                                                     pptx;\r\n    application/vnd.openxmlformats-officedocument.spreadsheetml.sheet\r\n                                                     xlsx;\r\n    application/vnd.openxmlformats-officedocument.wordprocessingml.document\r\n                                                     docx;\r\n    application/vnd.wap.wmlc                         wmlc;\r\n    application/wasm                                 wasm;\r\n    application/x-7z-compressed                      7z;\r\n    application/x-cocoa                              cco;\r\n    application/x-java-archive-diff                  jardiff;\r\n    application/x-java-jnlp-file                     jnlp;\r\n    application/x-makeself                           run;\r\n    application/x-perl                               pl pm;\r\n    application/x-pilot                              prc pdb;\r\n    application/x-rar-compressed                     rar;\r\n    application/x-redhat-package-manager             rpm;\r\n    application/x-sea                                sea;\r\n    application/x-shockwave-flash                    swf;\r\n    application/x-stuffit                            sit;\r\n    application/x-tcl                                tcl tk;\r\n    application/x-x509-ca-cert                       der pem crt;\r\n    application/x-xpinstall                          xpi;\r\n    application/xhtml+xml                            xhtml;\r\n    application/xspf+xml                             xspf;\r\n    application/zip                                  zip;\r\n\r\n    application/octet-stream                         bin exe dll;\r\n    application/octet-stream                         deb;\r\n    application/octet-stream                         dmg;\r\n    application/octet-stream                         iso img;\r\n    application/octet-stream                         msi msp msm;\r\n\r\n    audio/midi                                       mid midi kar;\r\n    audio/mpeg                                       mp3;\r\n    audio/ogg                                        ogg;\r\n    audio/x-m4a                                      m4a;\r\n    audio/x-realaudio                                ra;\r\n\r\n    video/3gpp                                       3gpp 3gp;\r\n    video/mp2t                                       ts;\r\n    video/mp4                                        mp4;\r\n    video/mpeg                                       mpeg mpg;\r\n    video/quicktime                                  mov;\r\n    video/webm                                       webm;\r\n    video/x-flv                                      flv;\r\n    video/x-m4v                                      m4v;\r\n    video/x-mng                                      mng;\r\n    video/x-ms-asf                                   asx asf;\r\n    video/x-ms-wmv                                   wmv;\r\n    video/x-msvideo                                  avi;\r\n}\r\n\r\n# configuration file /etc/nginx/conf.d/app.conf:\r\nserver {\r\n    listen              80 default_server;\r\n    server_name         app.nginx.local;\r\n    status_zone         s-app.nginx.local;\r\n    \r\n    access_log          /var/log/nginx/app.nginx.local.access.log  main;\r\n    error_log           /var/log/nginx/app.nginx.local.error.log notice;\r\n    proxy_set_header    nginx $hostname;\r\n    proxy_set_header    Host $host;\r\n\r\n    location / {\r\n        status_zone l-app.nginx.local;\r\n        proxy_pass http://app;\r\n    }\r\n    location @health-check {\r\n        internal;\r\n        proxy_pass http://app;\r\n        health_check uri=/ match=200_ok_app fails=1 passes=1 interval=3s;\r\n    }\r\n}\r\nupstream app {\r\n    keepalive 32;\r\n    zone u-app 128k;\r\n\r\n    server app-1.nginx.local:8001;\r\n    server app-2.nginx.local:8002;\r\n    server app-3.nginx.local:8003;\r\n    server app-4.nginx.local:8004;\r\n}\r\nmatch 200_ok_app {\r\n    status 200-299;\r\n}\r\n\r\n# configuration file /etc/nginx/conf.d/dvwa.conf:\r\nserver {\r\n    listen              80;\r\n    listen              443 ssl;\r\n\r\n    server_name         dvwa.nginx.local;\r\n    status_zone         s-dvwa.nginx.local;\r\n    \r\n    ssl_certificate     /etc/ssl/nginx/nginx-repo.crt;\r\n    ssl_certificate_key /etc/ssl/nginx/nginx-repo.key;\r\n\r\n\r\n    access_log          /var/log/nginx/dvwa.nginx.local.access.log  main;\r\n    error_log           /var/log/nginx/dvwa.nginx.local.error.log notice;\r\n    proxy_set_header    nginx $hostname;\r\n    proxy_set_header    Host $host;\r\n\r\n    location / {\r\n        status_zone l-dvwa.nginx.local;\r\n        proxy_pass http://dvwa;\r\n    }\r\n    location @health-check {\r\n        internal;\r\n        proxy_pass http://dvwa;\r\n        health_check uri=/login.php match=200_ok_dvwa fails=1 passes=1 interval=3s;\r\n    }\r\n}\r\nupstream dvwa {\r\n    keepalive 32;\r\n    zone u-dvwa 128k;\r\n\r\n    server dvwa-1.nginx.local:8081;\r\n    server dvwa-2.nginx.local:8082;\r\n}\r\nmatch 200_ok_dvwa {\r\n    status 200-299;\r\n}\r\n\r\n# configuration file /etc/nginx/conf.d/ipaas-erp.conf:\r\nserver {\r\n    listen              80;\r\n    listen              443 ssl;\r\n\r\n    server_name         ipaas-erp.nginx.local;\r\n    status_zone         s-ipaas-erp.nginx.local;\r\n    \r\n    ssl_certificate     /etc/ssl/nginx/nginx-repo.crt;\r\n    ssl_certificate_key /etc/ssl/nginx/nginx-repo.key;\r\n\r\n\r\n    access_log          /var/log/nginx/ipaas-erp.nginx.local.access.log  main;\r\n    error_log           /var/log/nginx/ipaas-erp.nginx.local.error.log notice;\r\n    proxy_set_header    nginx $hostname;\r\n    proxy_set_header    Host $host;\r\n\r\n    location / {\r\n        status_zone l-ipaas-erp.nginx.local;\r\n        proxy_pass http://ipaas-erp;\r\n    }\r\n    location @health-check {\r\n        internal;\r\n        proxy_pass http://ipaas-erp;\r\n        health_check uri=/ match=200_ok_ipaas_erp fails=1 passes=1 interval=3s;\r\n    }\r\n}\r\nupstream ipaas-erp {\r\n    keepalive 32;\r\n    zone u-ipaas-erp 128k;\r\n\r\n    server ipaas-erp-1.nginx.local:7001;\r\n    server ipaas-erp-2.nginx.local:7002;\r\n}\r\nmatch 200_ok_ipaas_erp {\r\n    status 200-299;\r\n}\r\n\r\n# configuration file /etc/nginx/conf.d/nginx-plus-mgmt.conf:\r\nserver {\r\n    listen       8080;\r\n    access_log off;\r\n    status_zone         nginx-plus-mgmt-zone;\r\n    otel_trace          off;\r\n    \r\n    location /api/ {\r\n        api write=on;\r\n    }\r\n    location = /dashboard.html {\r\n        root /usr/share/nginx/html;\r\n    }\r\n    location = /metrics {\r\n        js_content prometheus.metrics;\r\n    }\r\n}\r\n\r\nroot@nginx-plus-2:/# \r\n```\r\n\r\nNGINX Plus collects operational status from various modules using zones and exports metric information to Prometheus.\r\n\r\n**Prometheus Configuration Example**\r\n\r\n```bash\r\nroot@telemetry:/home/ubuntu/nginx-demo# cat prometheus.yml \r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 1m\r\n  external_labels:\r\n    monitor: codelab-monitor\r\nscrape_configs:\r\n- job_name: nginxplus-target\r\n  honor_timestamps: true\r\n  scrape_interval: 5s\r\n  scrape_timeout: 5s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  follow_redirects: true\r\n  static_configs:\r\n  - targets:\r\n    - nginx-plus-1.nginx.local:8080\r\n    - nginx-plus-2.nginx.local:8080\r\nroot@telemetry:/home/ubuntu/nginx-demo# \r\n```\r\n\r\n**To import this dashboard into Grafana, follow these steps:**\r\n\r\n1. Open Grafana and go to the dashboard page.\r\n2. Click on \"Import\" to import a new dashboard.\r\n3. Paste the dashboard JSON code or upload the JSON file containing the dashboard configuration.\r\n4. After importing, go to \"Dashboard Settings.\"\r\n5. Under \"Variables,\" navigate to \"Query Options.\"\r\n6. Modify the \"Regex\" field to match your environment's Prometheus job/task. Use \"nginxplus.*\" in this case to include all related metrics.\r\n7. The dashboard is divided into five sections: Global Performance, Instance SSL Performance, Server Status, Location Zone, and Upstream Zone. The \"Global Performance\" section contains statistics for all NGINX Plus instances, while the other sections are associated with specific NGINX Plus instance information.\r\n\r\nMake sure your Prometheus server is correctly configured to scrape NGINX Plus metrics, and the dashboard should now display the relevant information based on your environment.\r\n\r\n\r\n\r\n*If you have any questions, feel free to contact me at any time.*","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-08-07T14:06:59.000Z","updatedAt":"2023-08-07T14:43:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19314"},{"rel":"revisions","href":"/dashboards/19314/revisions"},{"rel":"revision","href":"/dashboards/19314/revisions/1"},{"rel":"download","href":"/dashboards/19314/revisions/1/download"},{"rel":"org","href":"/orgs/quanchenok"},{"rel":"images","href":"/dashboards/19314/images"},{"rel":"thumbnails","href":"/dashboards/19314/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17452,"status":1,"statusCode":"active","orgId":614262,"orgSlug":"armujahid","orgName":"armujahid","slug":"nginx","downloads":2925,"revisionId":26806,"revision":1,"name":"NGINX Prometheus exporter","description":"dashboard for NGINX Prometheus exporter","readme":"SOURCE: https://raw.githubusercontent.com/nginxinc/nginx-prometheus-exporter/main/grafana/dashboard.json\r\n\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-21T13:26:29.000Z","updatedAt":"2022-11-21T13:31:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17452"},{"rel":"revisions","href":"/dashboards/17452/revisions"},{"rel":"revision","href":"/dashboards/17452/revisions/1"},{"rel":"download","href":"/dashboards/17452/revisions/1/download"},{"rel":"org","href":"/orgs/armujahid"},{"rel":"images","href":"/dashboards/17452/images"},{"rel":"thumbnails","href":"/dashboards/17452/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6753,"status":1,"statusCode":"active","orgId":159102,"orgSlug":"sinsengumi","orgName":"sinsengumi","slug":"nginx-statistics","downloads":710,"revisionId":9210,"revision":1,"name":"Nginx Statistics","description":"Dashboard for Nginx Statistics.","readme":"### Exporter\r\nThis dashboard uses the following exporter metrics.\r\n  - [https://github.com/discordianfish/nginx_exporter](https://github.com/discordianfish/nginx_exporter)\r\n\r\n### Variables\r\nThis dashboard requires the following Variables.\r\n- $instance - Instance Name","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-02T08:28:53.000Z","updatedAt":"2018-07-02T08:31:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6753"},{"rel":"revisions","href":"/dashboards/6753/revisions"},{"rel":"revision","href":"/dashboards/6753/revisions/1"},{"rel":"download","href":"/dashboards/6753/revisions/1/download"},{"rel":"org","href":"/orgs/sinsengumi"},{"rel":"images","href":"/dashboards/6753/images"},{"rel":"thumbnails","href":"/dashboards/6753/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8226,"status":1,"statusCode":"active","orgId":196581,"orgSlug":"doron","orgName":"systemli","slug":"nginx-statistics","downloads":390,"revisionId":11244,"revision":1,"name":"Nginx Statistics","description":"Dashboard for Nginx Statistics. ","readme":"\r\nExporter: https://github.com/discordianfish/nginx_exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-10-04T11:19:24.000Z","updatedAt":"2018-10-04T11:23:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8226"},{"rel":"revisions","href":"/dashboards/8226/revisions"},{"rel":"revision","href":"/dashboards/8226/revisions/1"},{"rel":"download","href":"/dashboards/8226/revisions/1/download"},{"rel":"org","href":"/orgs/doron"},{"rel":"images","href":"/dashboards/8226/images"},{"rel":"thumbnails","href":"/dashboards/8226/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":49,"status":1,"statusCode":"active","orgId":10045,"orgSlug":"torkel","orgName":"Torkel Ödegaard","slug":"nginx-stats","downloads":4378,"revisionId":61,"revision":1,"name":"Nginx Stats","description":"Nginx Stats Dashboard using CollectD and Graphite","readme":"Basic Nginx Stats Dashboard. \r\n\r\n## Metrics shown \r\n* Requests/s\r\n* Connection state breakdown\r\n* Connections handled vs accepted \r\n\r\n## Configure Nginx\r\nYou need to enable stub_status module in a location to make metrics available for collectd. \r\n \r\n```\r\nlocation /nginx_status {\r\n    stub_status on;\r\n    access_log off;\r\n    allow 127.0.0.1;\r\n    deny all;\r\n}\r\n```\r\n\r\n## Configure CollectD \r\n\r\nThe relevant parts for this dashboard is \r\n\r\n```\r\nLoadPlugin nginx\r\n<Plugin \"nginx\">\r\n    URL \"http://localhost:8080/nginx_status\"\r\n</Plugin>\r\n```\r\n\r\n## Metric Prefix\r\nWhen you import the dasbhoard you will have to specify your collectd metric prefix, this is by defauilt just `collectd`. The dashboard assumes the following metric structure `$prefix.$server.nginx...`.  So if you have a non standard collectd prefix like `prod.cacheservers` then specify that in the prefix field when you import the dashboard. During import when you specify the prefix do not include the last dot (`.`). \r\n\r\n## Make this dashboard better\r\nFor feedback and ideas to improve this dashboard please open an issue here: \r\n[https://github.com/torkelo/dashboards](https://github.com/torkelo/dashboards)","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"nginx plugin","datasource":"Graphite","privacy":"public","createdAt":"2016-06-23T11:03:15.000Z","updatedAt":"2018-06-04T07:27:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/49"},{"rel":"revisions","href":"/dashboards/49/revisions"},{"rel":"revision","href":"/dashboards/49/revisions/1"},{"rel":"download","href":"/dashboards/49/revisions/1/download"},{"rel":"org","href":"/orgs/torkel"},{"rel":"images","href":"/dashboards/49/images"},{"rel":"thumbnails","href":"/dashboards/49/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":3223,"status":1,"statusCode":"active","orgId":85006,"orgSlug":"phiction","orgName":"phiction","slug":"nginx-stats","downloads":367,"revisionId":4441,"revision":1,"name":"Nginx Stats","description":"Nginx Stats Dashboard using CollectD and Graphite","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2017-09-13T21:48:14.000Z","updatedAt":"2017-09-13T21:48:23.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3223"},{"rel":"revisions","href":"/dashboards/3223/revisions"},{"rel":"revision","href":"/dashboards/3223/revisions/1"},{"rel":"download","href":"/dashboards/3223/revisions/1/download"},{"rel":"org","href":"/orgs/phiction"},{"rel":"images","href":"/dashboards/3223/images"},{"rel":"thumbnails","href":"/dashboards/3223/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":8085,"status":1,"statusCode":"active","orgId":131658,"orgSlug":"nextidealtd","orgName":"nextidealtd","slug":"nginx-stats","downloads":335,"revisionId":11016,"revision":1,"name":"Nginx Stats","description":"Nginx Stats Dashboard using CollectD and Graphite","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"nginx plugin","datasource":"Graphite","privacy":"public","createdAt":"2018-09-26T01:37:02.000Z","updatedAt":"2018-09-26T01:37:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8085"},{"rel":"revisions","href":"/dashboards/8085/revisions"},{"rel":"revision","href":"/dashboards/8085/revisions/1"},{"rel":"download","href":"/dashboards/8085/revisions/1/download"},{"rel":"org","href":"/orgs/nextidealtd"},{"rel":"images","href":"/dashboards/8085/images"},{"rel":"thumbnails","href":"/dashboards/8085/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":15205,"status":1,"statusCode":"active","orgId":499702,"orgSlug":"ymc023","orgName":"ymc023","slug":"nginx-stats","downloads":555,"revisionId":22799,"revision":1,"name":"Nginx Stats","description":"nginx stats , nginx-module-vts  status format prometheus","readme":"nginx stats , nginx-module-vts status format prometheus","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-11-08T09:32:48.000Z","updatedAt":"2021-11-08T09:37:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15205"},{"rel":"revisions","href":"/dashboards/15205/revisions"},{"rel":"revision","href":"/dashboards/15205/revisions/1"},{"rel":"download","href":"/dashboards/15205/revisions/1/download"},{"rel":"org","href":"/orgs/ymc023"},{"rel":"images","href":"/dashboards/15205/images"},{"rel":"thumbnails","href":"/dashboards/15205/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9785,"status":1,"statusCode":"active","orgId":234234,"orgSlug":"allnice","orgName":"allnice","slug":"nginx-vts","downloads":4319,"revisionId":13628,"revision":2,"name":"Nginx VTS","description":"nginx_vts_status grafana graph","readme":"nginx_vts_status/status/format/prometheus grafana graph\nfor: https://github.com/vozlt/nginx-module-vts.git","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-02-12T09:26:48.000Z","updatedAt":"2019-02-12T15:01:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/9785"},{"rel":"revisions","href":"/dashboards/9785/revisions"},{"rel":"revision","href":"/dashboards/9785/revisions/2"},{"rel":"download","href":"/dashboards/9785/revisions/2/download"},{"rel":"org","href":"/orgs/allnice"},{"rel":"images","href":"/dashboards/9785/images"},{"rel":"thumbnails","href":"/dashboards/9785/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24237,"status":1,"statusCode":"active","orgId":1558628,"orgSlug":"aminovpavel","orgName":"aminovpavel","slug":"nginx-vts-comprehensive-monitoring","downloads":472,"revisionId":38646,"revision":1,"name":"Nginx VTS - Comprehensive Monitoring","description":"Complete Nginx monitoring with VTS module - tracks requests, upstream backends, HTTP status codes, connections, and cache performance.","readme":"Complete Nginx monitoring with VTS module - tracks requests, upstream backends, HTTP status codes, connections, and cache performance.\r\n\r\nRequirements:\r\nNginx with VTS module\r\nNginx VTS Exporter\r\nPrometheus\r\n\r\nFeatures:\r\nOverview metrics, HTTP status tracking\r\nUpstream backend monitoring\r\nConnection & cache statistics\r\nDynamic time intervals (30s-15m)\r\nDetailed per-host/upstream tables\r\n\r\nPerfect for production web server monitoring with real-time performance insights.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-10-13T00:23:00.000Z","updatedAt":"2025-10-13T00:35:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24237"},{"rel":"revisions","href":"/dashboards/24237/revisions"},{"rel":"revision","href":"/dashboards/24237/revisions/1"},{"rel":"download","href":"/dashboards/24237/revisions/1/download"},{"rel":"org","href":"/orgs/aminovpavel"},{"rel":"images","href":"/dashboards/24237/images"},{"rel":"thumbnails","href":"/dashboards/24237/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2949,"status":1,"statusCode":"active","orgId":79247,"orgSlug":"sophos","orgName":"sophos","slug":"nginx-vts-stats","downloads":40557,"revisionId":6590,"revision":2,"name":"Nginx VTS Stats","description":"Show stats from the hnlq715/nginx-vts-exporter.","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-08-16T03:25:08.000Z","updatedAt":"2018-03-06T10:58:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":3,"reviewsAvgRating":4.33,"links":[{"rel":"self","href":"/dashboards/2949"},{"rel":"revisions","href":"/dashboards/2949/revisions"},{"rel":"revision","href":"/dashboards/2949/revisions/2"},{"rel":"download","href":"/dashboards/2949/revisions/2/download"},{"rel":"org","href":"/orgs/sophos"},{"rel":"images","href":"/dashboards/2949/images"},{"rel":"thumbnails","href":"/dashboards/2949/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14824,"status":1,"statusCode":"active","orgId":527415,"orgSlug":"jmoreira","orgName":"jmoreira","slug":"nginx-vts-stats","downloads":1099,"revisionId":22054,"revision":1,"name":"Nginx VTS Stats","description":"Show stats from https://github.com/vozlt/nginx-module-vts without exporter.","readme":"1. Follow [prometheus-memcached-exporter](https://github.com/prometheus/memcached_exporter), or [ansible recipe](https://github.com/jasondewitt/ansible-prometheus-memcached-exporter).\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-02T16:03:10.000Z","updatedAt":"2021-11-10T18:54:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14824"},{"rel":"revisions","href":"/dashboards/14824/revisions"},{"rel":"revision","href":"/dashboards/14824/revisions/1"},{"rel":"download","href":"/dashboards/14824/revisions/1/download"},{"rel":"org","href":"/orgs/jmoreira"},{"rel":"images","href":"/dashboards/14824/images"},{"rel":"thumbnails","href":"/dashboards/14824/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20043,"status":1,"statusCode":"active","orgId":594032,"orgSlug":"kvaps","orgName":"kvaps","slug":"nginx-vts-stats","downloads":315,"revisionId":30807,"revision":1,"name":"Nginx VTS Stats","description":"Show stats from nginx VTS module (direct, without exporter)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-24T14:30:19.000Z","updatedAt":"2023-11-24T14:31:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20043"},{"rel":"revisions","href":"/dashboards/20043/revisions"},{"rel":"revision","href":"/dashboards/20043/revisions/1"},{"rel":"download","href":"/dashboards/20043/revisions/1/download"},{"rel":"org","href":"/orgs/kvaps"},{"rel":"images","href":"/dashboards/20043/images"},{"rel":"thumbnails","href":"/dashboards/20043/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12164,"status":1,"statusCode":"active","orgId":374508,"orgSlug":"harloprillar","orgName":"harloprillar","slug":"nginx-vts-stats-kubernetes","downloads":834,"revisionId":17525,"revision":6,"name":"Nginx VTS Stats (Kubernetes)","description":"Show stats from nginx VTS module (direct, without exporter)","readme":"Show stats from nginx VTS module (vozlt/nginx-module-vts). \nNative module metrics names used (accessed by \"vhost_traffic_status_display_format prometheus;\" module configuration directive).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-23T12:04:18.000Z","updatedAt":"2020-05-12T08:31:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12164"},{"rel":"revisions","href":"/dashboards/12164/revisions"},{"rel":"revision","href":"/dashboards/12164/revisions/6"},{"rel":"download","href":"/dashboards/12164/revisions/6/download"},{"rel":"org","href":"/orgs/harloprillar"},{"rel":"images","href":"/dashboards/12164/images"},{"rel":"thumbnails","href":"/dashboards/12164/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19170,"status":1,"statusCode":"active","orgId":400131,"orgSlug":"nullzone","orgName":"Alberto Rodríguez Ortega","slug":"nginx-vts-stats-kubernetes","downloads":476,"revisionId":29362,"revision":1,"name":"Nginx VTS Stats (Kubernetes)","description":"Show stats from nginx VTS module using the its exporter.\r\nBase: https://grafana.com/grafana/dashboards/12164-nginx-vts-stats-kubernetes/","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-13T14:28:43.000Z","updatedAt":"2023-07-13T14:29:25.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19170"},{"rel":"revisions","href":"/dashboards/19170/revisions"},{"rel":"revision","href":"/dashboards/19170/revisions/1"},{"rel":"download","href":"/dashboards/19170/revisions/1/download"},{"rel":"org","href":"/orgs/nullzone"},{"rel":"images","href":"/dashboards/19170/images"},{"rel":"thumbnails","href":"/dashboards/19170/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6353,"status":1,"statusCode":"active","orgId":154523,"orgSlug":"coleca","orgName":"Cole Calistra","slug":"nginx-vts-stats","downloads":710,"revisionId":8666,"revision":1,"name":"Nginx VTS Stats 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Status","description":"nginx_vts_status grafana graph","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-10-14T11:55:19.000Z","updatedAt":"2019-10-14T11:56:31.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10990"},{"rel":"revisions","href":"/dashboards/10990/revisions"},{"rel":"revision","href":"/dashboards/10990/revisions/1"},{"rel":"download","href":"/dashboards/10990/revisions/1/download"},{"rel":"org","href":"/orgs/taomaree"},{"rel":"images","href":"/dashboards/10990/images"},{"rel":"thumbnails","href":"/dashboards/10990/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11967,"status":1,"statusCode":"active","orgId":362757,"orgSlug":"zdmytriv","orgName":"zdmytriv","slug":"nginx-vts-sts-performance-metrics","downloads":1132,"revisionId":17034,"revision":3,"name":"Nginx VTS/STS Performance Metrics","description":"Performance metrics for Nginx by Very Good Security","readme":"## 1. Nginx has to be compiled with these 4 plugins\n\n```\nnginx -V\n# other stuff\n--with-http_stub_status_module\n--add-module=/usr/src/nginx-module-vts\n--add-module=/usr/src/nginx-module-sts\n--add-module=/usr/src/nginx-module-stream-sts\n```\n\nthese modules can be found here:\n- https://github.com/vozlt/nginx-module-vts\n- https://github.com/vozlt/nginx-module-sts\n- https://github.com/vozlt/nginx-module-stream-sts\n\n## 2. Nginx config should looks similar to this:\n\n```\nserver {\n    listen 127.0.0.1:80;\n    server_name 127.0.0.1;\n    allow 127.0.0.1;\n    deny all;\n\n    # default nginx's metrics\n    location /nginx_status {\n        stub_status;\n    }\n\n    location /http_traffic_status {\n        vhost_traffic_status_bypass_limit on;\n        vhost_traffic_status_bypass_stats on;\n        vhost_traffic_status_display;\n        vhost_traffic_status_display_format html;\n    }\n\n    location /stream_traffic_status {\n        stream_server_traffic_status_display;\n        stream_server_traffic_status_display_format html;\n    }\n}\n```","collectorType":"Telegraf","collectorConfig":"## Telegraf config\n\n#### Outputs\n```\n[outputs]\n\n# Configuration for influxdb server to send metrics to\n\n[[outputs.socket_writer]]\n  address = \"tcp://your-influx:8094\"\n  data_format = \"influx\"\n```\n\n#### Inputs\n```\n[[inputs.mem]]\n[[inputs.system]]\n[[inputs.cpu]]\n    fielddrop = [ \"time_*\" ]\n    totalcpu = true\n    percpu = true\n[[inputs.disk]]\n[[inputs.diskio]]\n    skip_serial_number = true\n[[inputs.net]]\n    interfaces = [ \"eth0\" ]\n[[inputs.nginx]]\n    response_timeout = \"5s\"\n    urls = [ \"http://127.0.0.1/nginx_status\" ]\n[[inputs.nginx_vts]]\n    urls = [ \"http://127.0.0.1/http_traffic_status/status/format/json\" ]\n[[inputs.nginx_sts]]\n    urls = [ \"http://127.0.0.1/stream_traffic_status/status/format/json\" ]\n```\n\n## nginx_sts plugin\n\nAt the moment of publishing of this board telegraf didn't have \"nginx_sts\" support. So it can be found at Very Good Security fork:  https://github.com/verygoodsecurity/telegraf/tree/master/plugins/inputs/nginx_sts.","collectorPluginList":"influxdb, nginx","datasource":"InfluxDB","privacy":"public","createdAt":"2020-03-22T13:47:46.000Z","updatedAt":"2020-03-25T10:35:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11967"},{"rel":"revisions","href":"/dashboards/11967/revisions"},{"rel":"revision","href":"/dashboards/11967/revisions/3"},{"rel":"download","href":"/dashboards/11967/revisions/3/download"},{"rel":"org","href":"/orgs/zdmytriv"},{"rel":"images","href":"/dashboards/11967/images"},{"rel":"thumbnails","href":"/dashboards/11967/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19402,"status":1,"statusCode":"active","orgId":271092,"orgSlug":"hyomin","orgName":"Maco","slug":"nginx-vts-stats-bak-20230427-1841","downloads":301,"revisionId":29745,"revision":1,"name":"Nginx 监控统计概览版本V1","description":"统计图","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-08-25T06:47:49.000Z","updatedAt":"2023-08-25T06:48:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19402"},{"rel":"revisions","href":"/dashboards/19402/revisions"},{"rel":"revision","href":"/dashboards/19402/revisions/1"},{"rel":"download","href":"/dashboards/19402/revisions/1/download"},{"rel":"org","href":"/orgs/hyomin"},{"rel":"images","href":"/dashboards/19402/images"},{"rel":"thumbnails","href":"/dashboards/19402/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19403,"status":1,"statusCode":"active","orgId":271092,"orgSlug":"hyomin","orgName":"Maco","slug":"nginx-vts-stats-bak-20230504","downloads":297,"revisionId":29746,"revision":1,"name":"Nginx 统计概览版本V2","description":"统计表","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-08-25T06:49:06.000Z","updatedAt":"2023-08-25T06:49:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19403"},{"rel":"revisions","href":"/dashboards/19403/revisions"},{"rel":"revision","href":"/dashboards/19403/revisions/1"},{"rel":"download","href":"/dashboards/19403/revisions/1/download"},{"rel":"org","href":"/orgs/hyomin"},{"rel":"images","href":"/dashboards/19403/images"},{"rel":"thumbnails","href":"/dashboards/19403/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20311,"status":1,"statusCode":"active","orgId":1030831,"orgSlug":"bathvisapaboba","orgName":"bathvisapaboba","slug":"nginx-new","downloads":336,"revisionId":31306,"revision":1,"name":"Nginx_new","description":"Grafana Dashboard for Nginx Web Server.","readme":"Enable the sub status module in Nginx, and add the following virtual host config in Nginx Web Server\r\n```\t\r\nlocation /nginx_status {\r\n        \tstub_status;\r\n        \tallow 127.0.0.1;\r\n        \tdeny all;\r\n        }\r\n```\r\n## Following the metrics monitor through the dashboard\r\n\r\n   - UP\r\n   -  Current CPU Utilization %\r\n    - Response 2XX / 5m\r\n    - Total Response 200 Req. [24h]\r\n    - Response 5XX\r\n    - Total Request 503 Resonse\r\n    - Nginx Connections Accepted\r\n    - Nginx Writing\r\n    - Nginx Active Connections[accepted]\r\n    - Nginx Waiting Connections\r\n    - Handled Request\r\n    - Nginx Requests\r\n    - nginx_reading\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-01-16T07:31:25.000Z","updatedAt":"2024-01-19T15:26:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20311"},{"rel":"revisions","href":"/dashboards/20311/revisions"},{"rel":"revision","href":"/dashboards/20311/revisions/1"},{"rel":"download","href":"/dashboards/20311/revisions/1/download"},{"rel":"org","href":"/orgs/bathvisapaboba"},{"rel":"images","href":"/dashboards/20311/images"},{"rel":"thumbnails","href":"/dashboards/20311/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14976,"status":1,"statusCode":"active","orgId":104189,"orgSlug":"dmitrz","orgName":"dmitrz","slug":"nginx-yndx","downloads":325,"revisionId":22357,"revision":1,"name":"nginx-ingress","description":"nginx-ingress","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-09-08T11:17:06.000Z","updatedAt":"2021-09-08T11:17:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14976"},{"rel":"revisions","href":"/dashboards/14976/revisions"},{"rel":"revision","href":"/dashboards/14976/revisions/1"},{"rel":"download","href":"/dashboards/14976/revisions/1/download"},{"rel":"org","href":"/orgs/dmitrz"},{"rel":"images","href":"/dashboards/14976/images"},{"rel":"thumbnails","href":"/dashboards/14976/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12137,"status":1,"statusCode":"active","orgId":374018,"orgSlug":"patsevanton","orgName":"patsevanton","slug":"nginx-log-collector-clickhouse","downloads":1183,"revisionId":17271,"revision":1,"name":"Nginx-log-collector-Clickhouse","description":"Show metric from nginx using nginx-log-collector and store Clickhouse.","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Altinity plugin for ClickHouse","privacy":"public","createdAt":"2020-04-22T11:08:27.000Z","updatedAt":"2020-04-22T11:24:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12137"},{"rel":"revisions","href":"/dashboards/12137/revisions"},{"rel":"revision","href":"/dashboards/12137/revisions/1"},{"rel":"download","href":"/dashboards/12137/revisions/1/download"},{"rel":"org","href":"/orgs/patsevanton"},{"rel":"images","href":"/dashboards/12137/images"},{"rel":"thumbnails","href":"/dashboards/12137/thumbnails"}],"datasourceSlugs":["vertamedia-clickhouse-datasource"]},{"id":18144,"status":1,"statusCode":"active","orgId":610817,"orgSlug":"laspavel","orgName":"laspavel","slug":"nginx2","downloads":413,"revisionId":27850,"revision":1,"name":"Nginx2","description":"Nginx exporter metrics","readme":"A simple dashboard for viewer nginx metrics. \r\n\r\nRequires [nginx-prometheus-exporter](https://github.com/nginxinc/nginx-prometheus-exporter)  to work and enabled stub_status.\r\n\r\nExample config to nginx.conf:\r\n```\r\n  location =/nginx_status {\r\n        stub_status on;\r\n        access_log off;\r\n        allow 127.0.0.1;\r\n        allow 10.250.0.0/16;     # Docker containers IPs\r\n        deny all;\r\n       }\r\n\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-20T10:37:43.000Z","updatedAt":"2023-02-20T10:47:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18144"},{"rel":"revisions","href":"/dashboards/18144/revisions"},{"rel":"revision","href":"/dashboards/18144/revisions/1"},{"rel":"download","href":"/dashboards/18144/revisions/1/download"},{"rel":"org","href":"/orgs/laspavel"},{"rel":"images","href":"/dashboards/18144/images"},{"rel":"thumbnails","href":"/dashboards/18144/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10758,"status":1,"statusCode":"active","orgId":235807,"orgSlug":"morozovsk","orgName":"Vladimir Goncharov","slug":"nginxhouse","downloads":428,"revisionId":15010,"revision":1,"name":"Nginxhouse","description":"Nginx logs analyzer","readme":"https://github.com/nginxhouse/nginxhouse","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Altinity plugin for ClickHouse","privacy":"public","createdAt":"2019-08-20T13:31:27.000Z","updatedAt":"2019-08-20T13:38:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/10758"},{"rel":"revisions","href":"/dashboards/10758/revisions"},{"rel":"revision","href":"/dashboards/10758/revisions/1"},{"rel":"download","href":"/dashboards/10758/revisions/1/download"},{"rel":"org","href":"/orgs/morozovsk"},{"rel":"images","href":"/dashboards/10758/images"},{"rel":"thumbnails","href":"/dashboards/10758/thumbnails"}],"datasourceSlugs":["vertamedia-clickhouse-datasource"]},{"id":22037,"status":1,"statusCode":"active","orgId":210798,"orgSlug":"starsliao","orgName":"StarsL.cn","slug":"nginx-20241024-starsl-cn","downloads":1356,"revisionId":34772,"revision":5,"name":"NGINX请求日志分析看板 20241024 StarsL.cn","description":"基于 ClickHouse + Vector 的NGINX请求日志分析看板。包括请求与耗时分析、异常请求分析、用户分析、地理位置分布图、指定接口分析、请求日志明细。https://grafana.com/orgs/starsliao/dashboards","readme":"### 为什么要做NGINX日志分析看板\r\nGrafana官网的dashboards有NGINX日志采集到ES数据源的展示看板，也有采集到LOKI数据源的展示看板，唯独没有采集到ClickHouse数据源的展示看板。所以这个轮子是必须要造的。\r\n\r\n### 为什么不使用ES存储\r\nElasticSearch是全文检索引擎的文档数据库，对于业务日志、异常日志、多行日志这类，非结构化、半结构化的日志数据，经常需要做关键字查询，模糊匹配等操作，非常适合使用es，使用倒排索引实现快速全文搜索。\r\n\r\nClickHouse是一个列式存储数据库，尤其擅长处理结构化的大规模的SQL查询和聚合分析操作，所以针对NGINX这类结构化的请求日志，在处理多维分析、聚合查询、分组统计等操作速度极快，并且压缩比极高，存储成本比ES低10倍，CPU、内存的占用也有巨大优势。\r\n\r\n\r\n### Grafana请求日志分析看板预览\r\n\r\n该看板是基于 ClickHouse + Vector 的NGINX请求日志分析看板。包括请求与耗时分析、异常请求分析、用户分析、地理位置分布图、指定接口分析、请求日志明细。\r\n\r\n**尤其在异常请求分析方面，总结多年异常请求分析经验，从各个角度设计大量异常请求的分析图表。**\r\n\r\n---\r\n\r\n### 本看板的NGINX日志配置，Vector与CH的部署配置详细说明，以及云原生K8S日志采集最佳实践，请 [点击查看公众号合集](https://mp.weixin.qq.com/mp/appmsgalbum?__biz=MzAwNzQ3MDIyMA==&action=getalbum&album_id=3669478369130889224#wechat_redirect)\r\n\r\n---\r\n\r\n![](https://starsl.cn/static/img/thanks.png)\r\n\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, ClickHouse","privacy":"public","createdAt":"2024-10-07T17:02:26.000Z","updatedAt":"2024-10-30T07:43:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22037"},{"rel":"revisions","href":"/dashboards/22037/revisions"},{"rel":"revision","href":"/dashboards/22037/revisions/5"},{"rel":"download","href":"/dashboards/22037/revisions/5/download"},{"rel":"org","href":"/orgs/starsliao"},{"rel":"images","href":"/dashboards/22037/images"},{"rel":"thumbnails","href":"/dashboards/22037/thumbnails"}],"datasourceSlugs":["__expr__","grafana-clickhouse-datasource"]},{"id":16155,"status":1,"statusCode":"active","orgId":635745,"orgSlug":"brunomarram","orgName":"brunomarram","slug":"ngnix-routes-exporter","downloads":656,"revisionId":24514,"revision":1,"name":"NGNIX Routes Exporter","description":"Dashboard de métricas do NGINX Exporter. Exporter: martin-helmich/prometheus-nginxlog-exporter","readme":"# Overview\n\nDashboard que exibe algumas métricas úteis a partir do exporter [martin-helmich/prometheus-nginxlog-exporter](https://github.com/martin-helmich/prometheus-nginxlog-exporter).\n\n# Prometheus\n\nPara conseguir exportar as métricas, basta utilizar o exporter e suas instruções que podem ser encontradas na página oficial. O passo a passo também pode ser encontrado [aqui](https://blog.ruanbekker.com/blog/2020/04/25/nginx-metrics-on-prometheus-with-the-nginx-log-exporter/).\n\n## Nginx\n\nNa máquina na qual se deseja fazer o monitoramento dos sistemas que fazem uso do NGINX, é necessário fazer as seguintes configurações:\n\nNo arquivo `/etc/nginx/nginx.conf`, alterar as seguintes linhas que determinam como será gerado o log:\n\n```\n\t##\n\t# Logging Settings\n\t##\n\n\tlog_format custom   '$remote_addr - $remote_user [$time_local] '\n                         '\"$request\" $status $body_bytes_sent '\n                         '\"$http_referer\" \"$http_user_agent\"'\n                         'rt=$request_time uct=\"$upstream_connect_time\" uht=\"$upstream_header_time\" urt=\"$upstream_response_time\"';\n\n\taccess_log /var/log/nginx/access.log custom;\n\terror_log /var/log/nginx/error.log;\n```\n\nFeito isso, execute um comando para verificar que sua configuração de nginx é válida:\n\n```\nsudo nginx -t\n```\n\nSe tudo estiver certo, podemos então adicionar um novo site. Para isso basta executar ele na máquina que você deseja, e fazer com que os logs sejam salvos preferencialmente dentro de `/var/log/nginx/`.\n\n## Nginx Log Exporter\n\nHora então de configurar o log exporter para gerar as métricas que posteriormente serão lidas pelo Prometheus. As releases podem ser acompanhadas por [aqui](https://github.com/martin-helmich/prometheus-nginxlog-exporter/releases) e sugiro sempre utilizar versões mais recentes do pacote. Para fins demonstrativos vamos utilizar a v1.9.2.\n\n```\nwget https://github.com/martin-helmich/prometheus-nginxlog-exporter/releases/download/v1.9.2/prometheus-nginxlog-exporter\n```\n\nFeito isso, dar permissão e move-lo para o local correto\n\n```\nchmod +x prometheus-nginxlog-exporter\nmv prometheus-nginxlog-exporter /usr/bin/prometheus-nginxlog-exporter\n```\n\nCriar o diretório que irá receber a nossa config\n\n```\nsudo mkdir /etc/prometheus\n```\n\nCriar o arquivo de config `/etc/prometheus/nginxlog_exporter.yml`. O conteúdo dele irá determinar quais e como as métricas serão exportadas/interpretadas. Adapta-lo para cada caso:\n\n```\nlisten:\n  port: 4040\n  address: \"0.0.0.0\"\n\nconsul:\n  enable: false\n\nnamespaces:\n  - name: myapp\n    relabel_configs:\n    - target_label: request_uri\n      from: request\n      split: 2\n      separator: ' '  \n    format: \"$remote_addr - $remote_user [$time_local] \\\"$request\\\" $status $body_bytes_sent \\\"$http_referer\\\" \\\"$http_user_agent\\\"rt=$request_time uct=\\\"$upstream_connect_time\\\" uht=\\\"$upstream_header_time\\\" urt=\\\"$upstream_response_time\\\"\"\n    source:\n      files:\n        - /var/log/nginx/myapp*\n    labels:\n      service: \"myapp\"\n      environment: \"prod\"\n      hostname: \"http://myapp.domain.com\"\n    histogram_buckets: [.005, .01, .025, .05, .1, .25, .5, 1, 2.5, 5, 10]\n```\n\nCom essa configuração, ele irá pegar todas as métricas começadas com `myapp` dentro da pasta de logs do nginx default. `service e environment` são importantes para como serão interpretados dentro do dashboard e o `relabel_configs` são as configurações para conseguir identificar qual rota está recebendo o request. A porta onde será exportado os logs também pode ser alterada de acordo com sua necessidade.\n\nA lista completa do que pode ser alterado nas configurações pode ser encontrada no [repositório padrão](https://github.com/martin-helmich/prometheus-nginxlog-exporter).\n\n### Criar o service\n\nCom tudo isso feito, hora de criar o service do processo. para isso crie o arquivo `/etc/systemd/system/nginxlog_exporter.service` e adicione:\n\n```\n[Unit]\nDescription=Prometheus Log Exporter\nWants=network-online.target\nAfter=network-online.target\n\n[Service]\nUser=root\nGroup=root\nType=simple\nExecStart=/usr/bin/prometheus-nginxlog-exporter -config-file /etc/prometheus/nginxlog_exporter.yml\n\n[Install]\nWantedBy=multi-user.target\n```\n\nApós isso, dê um reload, habilite o exporter para executar sempre que a VM reiniciar, e restarte o serviço:\n\n```\nsudo systemctl daemon-reload\nsudo systemctl enable nginxlog_exporter\nsudo systemctl restart nginxlog_exporter\n```\n\nFeito isso o exporter já estará recebendo os requests e as métricas podem ser observadas em `http://ip-machine:4040/metrics`. Caso queira pode também conferir o status do serviço usando:\n\n```\nsudo systemctl status nginxlog_exporter\n```\n\n## Configurando o prometheus para ler as métricas\n\nPor fim, para que seja possível o prometheus analisar as métricas, é preciso fazer uma pequena configuração na sua configuração. Dentro do arquivo de config dele, basta adicionar as seguintes informações dentro do `scrape_configs`:\n\n```\nscrape_configs:\n  - job_name: 'myapp'\n    scrape_interval: 10s\n    static_configs:\n      - targets: ['ip.of.nginx.exporter:4040']\n```\n\nBasta reiniciar então o prometheus. Exemplo em caso de um container docker:\n\n```\ndocker-compose restart prometheus\n```\n\nFeito isso, as métricas serão então coletadas e disponíveis para alimentar o dashboard :)\n\n# Grafana\n\nIndo agora para o Grafana, basta importar o dashboard. Depois disso, configurar a variável `apis` com a lista das APIs que irão ser monitoradas separadas por um `|`. Para o nosso exemplo:\n\n```\nmyapp_http_response_count_total|other_http_response_count_total\n```\n\nFeito isso, pronto! Os dados já estarão disponíveis para visualização.\n\n# Créditos e Referências\n\n- https://github.com/martin-helmich/prometheus-nginxlog-exporter\n- https://blog.ruanbekker.com/blog/2020/04/25/nginx-metrics-on-prometheus-with-the-nginx-log-exporter/","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-04-22T15:50:34.000Z","updatedAt":"2022-04-25T17:27:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16155"},{"rel":"revisions","href":"/dashboards/16155/revisions"},{"rel":"revision","href":"/dashboards/16155/revisions/1"},{"rel":"download","href":"/dashboards/16155/revisions/1/download"},{"rel":"org","href":"/orgs/brunomarram"},{"rel":"images","href":"/dashboards/16155/images"},{"rel":"thumbnails","href":"/dashboards/16155/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19300,"status":1,"statusCode":"active","orgId":363564,"orgSlug":"dinapolimontenegro","orgName":"dinapolimontenegro","slug":"ngnix-routes-exporter","downloads":294,"revisionId":29587,"revision":1,"name":"NGNIX Routes Exporter","description":"Dashboard de métricas do NGINX Exporter. Exporter: martin-helmich/prometheus-nginxlog-exporter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-08-04T17:32:31.000Z","updatedAt":"2023-08-04T17:33:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19300"},{"rel":"revisions","href":"/dashboards/19300/revisions"},{"rel":"revision","href":"/dashboards/19300/revisions/1"},{"rel":"download","href":"/dashboards/19300/revisions/1/download"},{"rel":"org","href":"/orgs/dinapolimontenegro"},{"rel":"images","href":"/dashboards/19300/images"},{"rel":"thumbnails","href":"/dashboards/19300/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14718,"status":1,"statusCode":"active","orgId":117662,"orgSlug":"rarirureluis","orgName":"rarirureluis","slug":"nicehash","downloads":1502,"revisionId":24680,"revision":5,"name":"NiceHash","description":"","readme":"See 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drill down per NiFi release > pod","readme":"Dashboard for jvm_* metrics which are exported by [jmx_exporter](https://github.com/prometheus/jmx_exporter) and scraped by [prometheus](https://github.com/prometheus/prometheus).\n\nGist is [here](https://gist.github.com/hemantha-kumara/de3884ddcd8125f955ab029b7c8776ca) \nBased on [JMX exporter prometheus](https://grafana.com/dashboards/7727)\n\nNiFi options to run jmx_exporter\n---\nupdate \"conf/bootstrap.conf\" with below line\n```yaml\njava.arg.jmxopts=-javaagent:/jmx-exporter/jmx_prometheus_javaagent.jar=31300:/etc/nifi/jmx_config/nifi-jmx.yaml\n```\nNiFi pod configuration\n---\n```yaml\napiVersion: v1\nkind: Pod\nmetadata:\n  annotations:\n    prometheus.io/port: \"31300\"\n    prometheus.io/scrape: \"true\"\n```\n\nPrometheus configuration\n---\n```yaml\nscrape_configs:\n- job_name: kubernetes-pods\n  scrape_interval: 1m\n  scrape_timeout: 10s\n  metrics_path: /metrics\n  scheme: http\n  kubernetes_sd_configs:\n  - api_server: null\n    role: pod\n    namespaces:\n      names: []\n  relabel_configs:\n  - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape]\n    separator: ;\n    regex: \"true\"\n    replacement: $1\n    action: keep\n  - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_path]\n    separator: ;\n    regex: (.+)\n    target_label: __metrics_path__\n    replacement: $1\n    action: replace\n  - source_labels: [__address__, __meta_kubernetes_pod_annotation_prometheus_io_port]\n    separator: ;\n    regex: ([^:]+)(?::\\d+)?;(\\d+)\n    target_label: __address__\n    replacement: $1:$2\n    action: replace\n  - separator: ;\n    regex: __meta_kubernetes_pod_label_(.+)\n    replacement: $1\n    action: labelmap\n  - source_labels: [__meta_kubernetes_namespace]\n    separator: ;\n    regex: (.*)\n    target_label: namespace\n    replacement: $1\n    action: replace\n  - source_labels: [__meta_kubernetes_pod_name]\n    separator: ;\n    regex: (.*)\n    target_label: kubernetes_pod_name\n    replacement: $1\n    action: replace\n```\n\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-12-17T10:40:47.000Z","updatedAt":"2018-12-17T12:57:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9544"},{"rel":"revisions","href":"/dashboards/9544/revisions"},{"rel":"revision","href":"/dashboards/9544/revisions/1"},{"rel":"download","href":"/dashboards/9544/revisions/1/download"},{"rel":"org","href":"/orgs/hemanthakumara"},{"rel":"images","href":"/dashboards/9544/images"},{"rel":"thumbnails","href":"/dashboards/9544/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11387,"status":1,"statusCode":"active","orgId":288040,"orgSlug":"mormor83","orgName":"mormor83","slug":"nifi-monitoring","downloads":2564,"revisionId":15984,"revision":1,"name":"NiFi Monitoring","description":"General view of Nifi \r\n","readme":"# NiFi Exporter\r\n\r\nPrometheus exporter for Nifi metrics written in python  \r\nData is scraped by [prometheus](https://prometheus.io).  \r\nBased on the nifi exporter  \r\nhttps://github.com/mormor83/NiFi_Exporter  \r\n  \r\n## Metrics\r\n\r\nAll metrics are prefixed with \"nifi_\".\r\n\r\n\r\n### Nodes\r\nmetric | description\r\n-------| ------------\r\nnifi_nodes_status| General status per node\r\nnifi_node_activeThreadCount| Active Thread Count\r\nnifi_node_queuedItems|Each node queued items\r\n\r\n### Cluster\r\nmetric | description\r\n-------| ------------\r\nnifi_cluster_activeThreadCount |\r\nnifi_cluster_terminatedThreadCount |\r\nnifi_cluster_flowFilesQueued |\r\nnifi_cluster_bytesQueued |\r\nnifi_cluster_runningCount|\r\nnifi_cluster_stoppedCount|\r\nnifi_cluster_invalidCount|\r\n\r\n### Processor\r\nmetric | description\r\n-------| ------------\r\nnifi_amount_items_queued | Count the number of queued files per PG\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-12-11T08:21:41.000Z","updatedAt":"2019-12-11T08:31:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11387"},{"rel":"revisions","href":"/dashboards/11387/revisions"},{"rel":"revision","href":"/dashboards/11387/revisions/1"},{"rel":"download","href":"/dashboards/11387/revisions/1/download"},{"rel":"org","href":"/orgs/mormor83"},{"rel":"images","href":"/dashboards/11387/images"},{"rel":"thumbnails","href":"/dashboards/11387/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12314,"status":1,"statusCode":"active","orgId":271976,"orgSlug":"juliofalborj","orgName":"juliofalborj","slug":"nifi-prometheusreportingtask-dashboard","downloads":508060,"revisionId":17600,"revision":1,"name":"NiFi PrometheusReportingTask Dashboard","description":"A complete dashboard for all metrics 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Português:\r\n\r\nTemplate para Zabbix 3.4 ou superior.\r\n\r\nColeta e exibe informações da tensão, corrente, potência, status, temperatura e uso da bateria.\r\n\r\nUPS MIB: \r\n[http://www.oidview.com/mibs/0/UPS-MIB.html](http://www.oidview.com/mibs/0/UPS-MIB.html)\r\n\r\nSoftware SGM Auto-Shutdown V4.1:\r\n[Download for Linux](http://www.apc.com/shop/br/pt/products/Software-SGM-Auto-Shutdown-V4-1-para-Linux-s%C3%B3-Brasil-/P-SFSGM41L?isCurrentSite=true)\r\n\r\nTemplate Zabbix: [https://share.zabbix.com/power-ups/apc/nobreak-apc-smart-ups-3000bi-br](https://share.zabbix.com/power-ups/apc/nobreak-apc-smart-ups-3000bi-br)\r\n\r\n---------\r\n\r\n## Developed by:\r\n\r\n* Victor Igor (victor.igor.redes@gmail.com), sysadmin;\r\n* Aécio Pires [http://aeciopires.com](http://aeciopires.com), sysadmin.\r\n\r\nShared by **Dynavideo** 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needed for the metrics used in this dashboard, see https://github.com/galexrt/dellhw_exporter.\r\n\r\nThis dashboard shows the status of disks. It also has a separate graph to show only bad/failed disks.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2017-12-29T17:14:47.000Z","updatedAt":"2017-12-29T17:49:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4188"},{"rel":"revisions","href":"/dashboards/4188/revisions"},{"rel":"revision","href":"/dashboards/4188/revisions/1"},{"rel":"download","href":"/dashboards/4188/revisions/1/download"},{"rel":"org","href":"/orgs/galexrt"},{"rel":"images","href":"/dashboards/4188/images"},{"rel":"thumbnails","href":"/dashboards/4188/thumbnails"}]},{"id":13517,"status":1,"statusCode":"active","orgId":232328,"orgSlug":"fosdem","orgName":"NERP Networks","slug":"node-iostat","downloads":460,"revisionId":19739,"revision":1,"name":"Node - iostat","description":"An example of the output of \"iostat\" using the Prometheus node_exporter.","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"diskstats","datasource":"Prometheus","privacy":"public","createdAt":"2020-12-06T08:59:19.000Z","updatedAt":"2020-12-06T09:06:23.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13517"},{"rel":"revisions","href":"/dashboards/13517/revisions"},{"rel":"revision","href":"/dashboards/13517/revisions/1"},{"rel":"download","href":"/dashboards/13517/revisions/1/download"},{"rel":"org","href":"/orgs/fosdem"},{"rel":"images","href":"/dashboards/13517/images"},{"rel":"thumbnails","href":"/dashboards/13517/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14753,"status":1,"statusCode":"active","orgId":407675,"orgSlug":"pablommr","orgName":"pablommr","slug":"node","downloads":554,"revisionId":21927,"revision":1,"name":"Node - k8s-monitor","description":"Dashboard develop to work together with k8s-monitor to visualize Node-Exporter metrics.","readme":"# Node - k8s-monitor\r\n\r\n## Overview\r\nNode - k8s-monitor was develop to show metrics from Node-Exporter inside [k8s-monitor](https://github.com/Pablommr/k8s-monitor) system. This dashboard is ready for accept more than 1 cluster datasource, you just need add multiples datasources with prefix \"K8S - \".\r\n\r\n## How to use\r\n1 - You need install [k8s-monitor](https://github.com/Pablommr/k8s-monitor) in your Kubernetes cluster.\\\r\n2 - Configure a new datasource to prometheus service and setting the name with prefix **\"K8S - \"**. If your Grafana is in the same namespace as k8s-monitor, the datasource URL will be  http://prometheus-k8s-service:9090.\r\n\r\nPlease, visit [k8s-monitor](https://github.com/Pablommr/k8s-monitor) to get more information and setup guide.","collectorType":"nodeExporter","collectorConfig":"## Requirement\r\nAfter [k8s-monitor](https://github.com/Pablommr/k8s-monitor) installed and working in your kubernetes cluster, you will need configure a new datasource with prefix **\"K8s - \"** to K8S variable works properly.\r\n\r\nExample datasource Name:\r\nK8S - KubernetesCluster\r\n\r\nIf your Grafana is in the same namespace (k8s-monitor) as prometheus, the datasource URL will be http://prometheus-k8s-service:9090, that is prometheus service.","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-07-21T10:12:59.000Z","updatedAt":"2021-07-23T15:31:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14753"},{"rel":"revisions","href":"/dashboards/14753/revisions"},{"rel":"revision","href":"/dashboards/14753/revisions/1"},{"rel":"download","href":"/dashboards/14753/revisions/1/download"},{"rel":"org","href":"/orgs/pablommr"},{"rel":"images","href":"/dashboards/14753/images"},{"rel":"thumbnails","href":"/dashboards/14753/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7165,"status":1,"statusCode":"active","orgId":172234,"orgSlug":"vorkos","orgName":"vorkos","slug":"node-network","downloads":442,"revisionId":9715,"revision":1,"name":"Node - 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Uses Prometheus [node-cert-exporter](https://github.com/amimof/node-cert-exporter), therefor it must be installed and deployed in the cluster in order for this dashboard to display anything meaningful. Read the [README](https://github.com/amimof/node-cert-exporter/blob/master/README.md) for information on how to deploy node-cert-exporter in your cluster.\n\n# Requirements\n* [Prometheus](https://prometheus.io)\n* [node-cert-exporter](https://github.com/amimof/node-cert-exporter)\n\nMake sure to read this awesome article of how to monitor SSL certificates with node-cert-exporter, Prometheus, AlertManager and Grafana at [devconnected.com](https://devconnected.com/how-to-check-ssl-certificate-expiration-with-grafana/)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2019-04-02T13:13:59.000Z","updatedAt":"2019-09-01T05:48:13.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/9999"},{"rel":"revisions","href":"/dashboards/9999/revisions"},{"rel":"revision","href":"/dashboards/9999/revisions/2"},{"rel":"download","href":"/dashboards/9999/revisions/2/download"},{"rel":"org","href":"/orgs/amimof"},{"rel":"images","href":"/dashboards/9999/images"},{"rel":"thumbnails","href":"/dashboards/9999/thumbnails"}]},{"id":6126,"status":1,"statusCode":"active","orgId":142505,"orgSlug":"enzobes","orgName":"Enzo Besnainou","slug":"node-dashboard","downloads":2883,"revisionId":8486,"revision":2,"name":"Node Dashboard","description":"Batch of nearly all metrics values exported by Prometheus and Node Exporter.","readme":"## Metrics Shown (see screenshots)\r\n- CPU\r\n- Memory\r\n- Disk\r\n- Network Overview\r\n- Scraps Stats\r\n\r\n## Plugins Used\r\n-  Pie Chart v1.3.0 (optionnal)\r\n## Versions \r\n- Prometheus: 2.2.1 \r\n- Node_exporter: 0.16.0-rc.3\r\n- go version: go1.9.5\r\n## Collector Configuration Details\r\nThis Grafana Dashboard use by default Node Exporter metrics on Linux. \r\nTested on RedHat 7.1\r\n\r\n## Available on Github \r\nMake this dashboard better with your feedback and ideas with openning a issue on GitHub : [https://github.com/enzobes/Grafana-Dashboard](https://github.com/enzobes/Grafana-Dashboard)","collectorType":"nodeExporter","collectorConfig":"","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-05-17T09:31:06.000Z","updatedAt":"2018-05-31T10:55:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6126"},{"rel":"revisions","href":"/dashboards/6126/revisions"},{"rel":"revision","href":"/dashboards/6126/revisions/2"},{"rel":"download","href":"/dashboards/6126/revisions/2/download"},{"rel":"org","href":"/orgs/enzobes"},{"rel":"images","href":"/dashboards/6126/images"},{"rel":"thumbnails","href":"/dashboards/6126/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12062,"status":1,"statusCode":"active","orgId":369387,"orgSlug":"cedi","orgName":"cedi","slug":"node-exporter","downloads":747,"revisionId":17173,"revision":2,"name":"Node Exporter","description":"node_exporter dashboard with docker stats","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-09T11:53:36.000Z","updatedAt":"2020-04-09T12:30:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/12062"},{"rel":"revisions","href":"/dashboards/12062/revisions"},{"rel":"revision","href":"/dashboards/12062/revisions/2"},{"rel":"download","href":"/dashboards/12062/revisions/2/download"},{"rel":"org","href":"/orgs/cedi"},{"rel":"images","href":"/dashboards/12062/images"},{"rel":"thumbnails","href":"/dashboards/12062/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11133,"status":1,"statusCode":"active","orgId":310622,"orgSlug":"adityas","orgName":"adityas","slug":"node-exporter","downloads":1173,"revisionId":15553,"revision":2,"name":"Node Exporter","description":"Support Node Exporter v0.16 and above.Optimize the main metrics display. 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Para pessoas de Portugal, Angola, Moçambique, Macau, São Tomé e Princípe, Timor Leste e Guiné-Bissau, será necessário alterar todo o fuso horário do painel\r\n\r\nConfiguração do container\r\n\r\n```docker\r\nservices:\r\n  node-exporter:\r\n    container_name: node-exporter\r\n    image: prom/node-exporter:latest\r\n    network_mode: host\r\n    pid: host\r\n    command:\r\n      - --path.rootfs=/host\r\n      - --collector.processes\r\n      - --collector.interrupts\r\n      - --collector.tcpstat\r\n    volumes:\r\n      - /:/host:ro,rslave\r\n    restart: unless-stopped\r\n```\r\n\r\nSugestão de configuração do Prometheus:\r\n\r\n```yml\r\n  - job_name: servidores\r\n    static_configs:\r\n      - targets:\r\n          - [DNS, IP ou host]:9100\r\n        labels:\r\n          name: [nome da máquina]\r\n```\r\n\r\nMeu Github: 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compose](https://o11y-weekly.github.io/2023-11-23_Vector_in_action/)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-09-25T14:45:32.000Z","updatedAt":"2024-01-10T14:25:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19650"},{"rel":"revisions","href":"/dashboards/19650/revisions"},{"rel":"revision","href":"/dashboards/19650/revisions/2"},{"rel":"download","href":"/dashboards/19650/revisions/2/download"},{"rel":"org","href":"/orgs/cboudereau"},{"rel":"images","href":"/dashboards/19650/images"},{"rel":"thumbnails","href":"/dashboards/19650/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19056,"status":1,"statusCode":"active","orgId":576536,"orgSlug":"cloudadminteam","orgName":"Cloud Admin Team","slug":"node-exporter-node-cpu-and-system","downloads":671,"revisionId":29188,"revision":1,"name":"Node Exporter / Node CPU and 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Contains overall resource display and detailed resource charts for monitoring metrics like CPU, Memory, Disk, IO, Network, etc. https://github.com/starsliao/TenSunS","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2025-09-19T12:11:41.000Z","updatedAt":"2025-09-23T07:47:49.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24099"},{"rel":"revisions","href":"/dashboards/24099/revisions"},{"rel":"revision","href":"/dashboards/24099/revisions/2"},{"rel":"download","href":"/dashboards/24099/revisions/2/download"},{"rel":"org","href":"/orgs/asvata"},{"rel":"images","href":"/dashboards/24099/images"},{"rel":"thumbnails","href":"/dashboards/24099/thumbnails"}]},{"id":8919,"status":1,"statusCode":"active","orgId":210798,"orgSlug":"starsliao","orgName":"StarsL.cn","slug":"node-exporter-dashboard-20240520-tensuns","downloads":117924,"revisionId":32840,"revision":26,"name":"Node Exporter Dashboard 20240520 TenSunS自动同步版","description":"【中文版本】2024.05.20更新，基于TenSunS采集的ECS，可匹配自动同步方式采集ECS信息字段的展示，优化重要指标展示。使用Grafana10新样式重建，新增健康评分概念，并新增了整体资源消耗信息的一些图表。包含整体资源展示与资源明细图表：CPU 内存 磁盘 IO 网络等监控指标。https://github.com/starsliao/TenSunS","readme":"### 🎉Node Exporter Dashboard TenSunS自动同步版 更新啦\r\n\r\n#### **Node Exporter Dashboard分为2个版本**\r\n\r\n- **该版本为TenSunS自动同步版：通过TenSunS来管理各云厂商的ECS监控**：支持在云厂商对资源增删改查后，自动同步到Prometheus（同时也支持自建主机的批量web管理与同步）。采集云厂商的ECS信息(包括到期日)与分组等信息，基于采集的数据实现了更友好、丰富的资源分组，以及云资源名称等多种云标签的搜索与展示。\r\n\r\n- **原基于Job分组的通用版本**，对于不使用TenSunS同步资源的情况，资源标签信息较少，仅可以使用通用的JOB字段来分组，请参考：[https://grafana.com/grafana/dashboards/16098](https://grafana.com/grafana/dashboards/16098)\r\n\r\n---\r\n\r\n### 2024.05.20更新说明：\r\n1. 更新了看板的所有Panel支持最新样式，对大量图表重新做了美化，已兼容Grafana10.X版本。\r\n2. 总览表优化ECS健康评分加载性能，增加了更多图表的说明描述。\r\n3. 新增了整体资源消耗信息的一些图表，用于资源成本优化参考。\r\n4. 使用了从云厂商获取的ECS名称字段和新的分组字段，并且能展示资源到期日。\r\n5. 优化重要指标展示，包含整体资源展示与资源明细图表：CPU 内存 磁盘 进程 网络等监控指标。\r\n\r\n##### 注意:【最近7天P99资源使用率】图表需要在Prometheus增加记录规则(采集1小时后出数据)：\r\n\r\n- P99：数据集按升序排列，第99分位置大的数据。（即升序排列后排在99%位置的数据）\r\n- 该表格需要在Prometheus增加记录规则（参考看板下载页）\r\n- 采集1小时后出数据\r\n- 时间范围[7d:1h]表示要查看过去 7 天内每小时的数据点。\r\n\r\n```\r\ngroups:   #新rule文件需要加这行开头，追加旧的rule文件则不需要。\r\n- name: node_usage_record_rules\r\n  interval: 1m\r\n  rules:\r\n  - record: cpu:usage:rate1m\r\n    expr: (1 - avg(irate(node_cpu_seconds_total{mode=\"idle\"}[3m])) by (instance,vendor,account,group,name,job)) * 100\r\n  - record: mem:usage:rate1m\r\n    expr: (1 - node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes) * 100\r\n```\r\n\r\n---\r\n\r\n### TenSunS自动同步版看板请配合TenSunS使用：\r\n#### [点击进入【TenSunS介绍】](https://github.com/starsliao/TenSunS)\r\n### 🥇最佳实践\r\n- #### [应用场景1：如何优雅的基于Consul自动同步ECS主机监控](https://github.com/starsliao/ConsulManager/blob/main/docs/ECS%E4%B8%BB%E6%9C%BA%E7%9B%91%E6%8E%A7.md)\r\n- #### [应用场景2：如何优雅的使用Consul管理Blackbox站点监控](https://github.com/starsliao/ConsulManager/blob/main/docs/blackbox%E7%AB%99%E7%82%B9%E7%9B%91%E6%8E%A7.md)\r\n- #### [应用场景3：如何把云主机自动同步到JumpServer](https://github.com/starsliao/ConsulManager/blob/main/docs/%E5%A6%82%E4%BD%95%E6%8A%8A%E4%B8%BB%E6%9C%BA%E8%87%AA%E5%8A%A8%E5%90%8C%E6%AD%A5%E5%88%B0JumpServer.md)\r\n- #### [应用场景4：使用1个mysqld_exporter监控所有的MySQL实例](https://github.com/starsliao/ConsulManager/blob/main/docs/%E5%A6%82%E4%BD%95%E4%BC%98%E9%9B%85%E7%9A%84%E4%BD%BF%E7%94%A8%E4%B8%80%E4%B8%AAmysqld_exporter%E7%9B%91%E6%8E%A7%E6%89%80%E6%9C%89%E7%9A%84MySQL%E5%AE%9E%E4%BE%8B.md)\r\n- #### [应用场景5：使用1个redis_exporter监控所有的Redis实例](https://github.com/starsliao/ConsulManager/blob/main/docs/%E4%BD%BF%E7%94%A8%E4%B8%80%E4%B8%AAredis_exporter%E7%9B%91%E6%8E%A7%E6%89%80%E6%9C%89%E7%9A%84Redis%E5%AE%9E%E4%BE%8B.md)\r\n\r\n---\r\n\r\n### TenSunS部分功能描述\r\n#### 自建与云资源监控管理(ECS/RDS/Redis)\r\n>**基于Consul实现Prometheus监控目标的自动发现。**\r\n\r\n- ✔**当前已支持对接阿里云、腾讯云、华为云。**\r\n\r\n  - ⭐支持多云ECS/RDS/Redis的**资源、分组、标签**自动同步到Consul并接入到Prometheus自动发现！(并提供云资源信息查询与自定义页面)\r\n  - ⭐支持多云ECS信息自动同步到**JumpServer**。\r\n  - ⭐支持多云**账户余额**与云资源**到期日**设置阈值告警通知。\r\n  - ⭐支持作为Exporter接入Prometheus：Prometheus增加ConsulManager的JOB后可抓取云厂商的部分MySQL/Redis指标。(弥补原生Exporter无法获取部分云MySQL/Redis指标的问题)\r\n- ✔**支持自建主机/MySQL/Redis**接入WEB管理，支持增删改查、批量导入导出，自动同步到Consul并接入到Prometheus监控！\r\n- ✔提供了按需生成Prometheus配置与ECS/MySQL/Redis告警规则的功能。\r\n- ✔设计了多个支持同步的各字段展示的Node_Exporter、Mysqld_Exporter、Redis_Exporter Grafana看板。\r\n\r\n截图：\r\n![](https://grafana.com/api/dashboards/8919/images/16268/image)\r\n![](https://grafana.com/api/dashboards/8919/images/16269/image)\r\n![](https://grafana.com/api/dashboards/8919/images/16270/image)\r\n![](https://grafana.com/api/dashboards/8919/images/16271/image)\r\n![](https://grafana.com/api/dashboards/8919/images/16272/image)\r\n![](https://grafana.com/api/dashboards/8919/images/16273/image)\r\n![](https://grafana.com/api/dashboards/8919/images/16274/image)\r\n\r\n### 赞赏与关注公众号【云原生DevOps】加入运维群交流，获取更多...\r\n![](https://starsl.cn/static/img/thanks.png)\r\n### GitHub：[https://github.com/starsliao/TenSunS](https://github.com/starsliao/TenSunS)","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-11-11T17:07:22.000Z","updatedAt":"2024-05-22T03:09:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":73,"reviewsAvgRating":4.1,"links":[{"rel":"self","href":"/dashboards/8919"},{"rel":"revisions","href":"/dashboards/8919/revisions"},{"rel":"revision","href":"/dashboards/8919/revisions/26"},{"rel":"download","href":"/dashboards/8919/revisions/26/download"},{"rel":"org","href":"/orgs/starsliao"},{"rel":"images","href":"/dashboards/8919/images"},{"rel":"thumbnails","href":"/dashboards/8919/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16098,"status":1,"statusCode":"active","orgId":210798,"orgSlug":"starsliao","orgName":"StarsL.cn","slug":"node-exporter-dashboard-20240520-job","downloads":18484,"revisionId":32843,"revision":5,"name":"Node Exporter Dashboard 20240520 通用JOB分组版","description":"【中文版本】2024.05.22更新，优化重要指标展示。使用Grafana10新样式重建，新增健康评分概念，并新增了整体资源消耗信息的一些图表。包含整体资源展示与资源明细图表：CPU 内存 磁盘 IO 网络等监控指标。https://github.com/starsliao/TenSunS","readme":"### 🎉Node Exporter Grafana Dashboard 更新啦!\r\n\r\n#### **Node Exporter Dashboard分为2个版本**\r\n\r\n- **🌟TenSunS自动同步版：通过TenSunS来管理各云厂商的ECS监控**：支持在云厂商对资源增删改查后，自动同步到Prometheus（同时也支持自建主机的批量web管理与同步）。采集云厂商的ECS信息(包括到期日)与分组等信息，基于采集的数据实现了更友好、丰富的资源分组，以及云资源名称等多种云标签的搜索与展示。[https://grafana.com/grafana/dashboards/8919](https://grafana.com/grafana/dashboards/8919)\r\n\r\n- **原基于Job分组的通用版**：对于不使用TenSunS同步资源的情况，资源标签信息较少，仅可以使用通用的JOB字段来分组。\r\n\r\n---\r\n\r\n### 2024.05.20更新说明：\r\n1. 更新了看板的所有Panel支持最新样式，对大量图表重新做了美化，已兼容Grafana10.X版本。\r\n2. 总览表优化ECS健康评分加载性能，增加了更多图表的说明描述。\r\n3. 新增了整体资源消耗信息的一些图表，用于资源成本优化参考。\r\n4. 使用了从云厂商获取的ECS名称字段和新的分组字段，并且能展示资源到期日。\r\n5. 优化重要指标展示，包含整体资源展示与资源明细图表：CPU 内存 磁盘 进程 网络等监控指标。\r\n\r\n##### 注意:【最近7天P99资源使用率】图表需要在Prometheus增加记录规则(采集1小时后出数据)：\r\n\r\n- P99：数据集按升序排列，第99分位置大的数据。（即升序排列后排在99%位置的数据）\r\n- 该表格需要在Prometheus增加记录规则（参考看板下载页）\r\n- 采集1小时后出数据\r\n- 时间范围[7d:1h]表示要查看过去 7 天内每小时的数据点。\r\n\r\n---\r\n\r\n##### TenSunS自动同步版增加记录规则\r\n\r\n```\r\ngroups: #新rule文件需要加这行开头，追加旧的rule文件则不需要。\r\n- name: node_usage_record_rules\r\n  interval: 1m\r\n  rules:\r\n  - record: cpu:usage:rate1m\r\n    expr: (1 - avg(irate(node_cpu_seconds_total{mode=\"idle\"}[3m])) by (instance,vendor,account,group,name,job)) * 100\r\n  - record: mem:usage:rate1m\r\n    expr: (1 - node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes) * 100\r\n```\r\n\r\n##### 基于Job分组的通用版增加记录规则\r\n- Job分组的通用版的数据源变量origin_prometheus，取自于Prometheus的外部系统标签：external_labels，可用于支持多个Prometheus接入VictoriaMetrics或Thanos等第三方存储使用remote_write方式的场景。(默认取值空，指标中无该标签不影响使用)\r\n```\r\ngroups:   #新rule文件需要加这行开头，追加旧的rule文件则不需要。\r\n- name: node_usage_record_rules\r\n  interval: 1m\r\n  rules:\r\n  - record: cpu:usage:rate1m\r\n    expr: (1 - avg(irate(node_cpu_seconds_total{mode=\"idle\"}[3m])) by (instance,job)) * 100\r\n  - record: mem:usage:rate1m\r\n    expr: (1 - node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes) * 100\r\n```\r\n---\r\n\r\n### TenSunS自动同步版看板请配合TenSunS使用\r\n#### [📌点击进入【TenSunS介绍】https://github.com/starsliao/TenSunS](https://github.com/starsliao/TenSunS)\r\n#### [🥇最佳实践 https://github.com/starsliao/TenSunS?tab=readme-ov-file#最佳实践](https://github.com/starsliao/TenSunS?tab=readme-ov-file#%E6%9C%80%E4%BD%B3%E5%AE%9E%E8%B7%B5)\r\n- [应用场景1：如何优雅的基于Consul自动同步ECS主机监控](https://github.com/starsliao/ConsulManager/blob/main/docs/ECS%E4%B8%BB%E6%9C%BA%E7%9B%91%E6%8E%A7.md)\r\n- [应用场景2：如何优雅的使用Consul管理Blackbox站点监控](https://github.com/starsliao/ConsulManager/blob/main/docs/blackbox%E7%AB%99%E7%82%B9%E7%9B%91%E6%8E%A7.md)\r\n- [应用场景3：如何把云主机自动同步到JumpServer](https://github.com/starsliao/ConsulManager/blob/main/docs/%E5%A6%82%E4%BD%95%E6%8A%8A%E4%B8%BB%E6%9C%BA%E8%87%AA%E5%8A%A8%E5%90%8C%E6%AD%A5%E5%88%B0JumpServer.md)\r\n- [应用场景4：使用1个mysqld_exporter监控所有的MySQL实例](https://github.com/starsliao/ConsulManager/blob/main/docs/%E5%A6%82%E4%BD%95%E4%BC%98%E9%9B%85%E7%9A%84%E4%BD%BF%E7%94%A8%E4%B8%80%E4%B8%AAmysqld_exporter%E7%9B%91%E6%8E%A7%E6%89%80%E6%9C%89%E7%9A%84MySQL%E5%AE%9E%E4%BE%8B.md)\r\n- [应用场景5：使用1个redis_exporter监控所有的Redis实例](https://github.com/starsliao/ConsulManager/blob/main/docs/%E4%BD%BF%E7%94%A8%E4%B8%80%E4%B8%AAredis_exporter%E7%9B%91%E6%8E%A7%E6%89%80%E6%9C%89%E7%9A%84Redis%E5%AE%9E%E4%BE%8B.md)\r\n\r\n---\r\n\r\n### TenSunS部分功能描述\r\n#### 自建与云资源监控管理(ECS/RDS/Redis)\r\n>**基于Consul实现Prometheus监控目标的自动发现。**\r\n\r\n- ✔**当前已支持对接阿里云、腾讯云、华为云。**\r\n\r\n  - ⭐支持多云ECS/RDS/Redis的**资源、分组、标签**自动同步到Consul并接入到Prometheus自动发现！(并提供云资源信息查询与自定义页面)\r\n  - ⭐支持多云ECS信息自动同步到**JumpServer**。\r\n  - ⭐支持多云**账户余额**与云资源**到期日**设置阈值告警通知。\r\n  - ⭐支持作为Exporter接入Prometheus：Prometheus增加ConsulManager的JOB后可抓取云厂商的部分MySQL/Redis指标。(弥补原生Exporter无法获取部分云MySQL/Redis指标的问题)\r\n- ✔**支持自建主机/MySQL/Redis**接入WEB管理，支持增删改查、批量导入导出，自动同步到Consul并接入到Prometheus监控！\r\n- ✔提供了按需生成Prometheus配置与ECS/MySQL/Redis告警规则的功能。\r\n- ✔设计了多个支持同步的各字段展示的Node_Exporter、Mysqld_Exporter、Redis_Exporter Grafana看板。\r\n\r\n截图：\r\n![](https://grafana.com/api/dashboards/8919/images/16268/image)\r\n![](https://grafana.com/api/dashboards/8919/images/16269/image)\r\n![](https://grafana.com/api/dashboards/8919/images/16270/image)\r\n![](https://grafana.com/api/dashboards/8919/images/16271/image)\r\n![](https://grafana.com/api/dashboards/8919/images/16272/image)\r\n![](https://grafana.com/api/dashboards/8919/images/16273/image)\r\n![](https://grafana.com/api/dashboards/8919/images/16274/image)\r\n\r\n### 赞赏与关注公众号【云原生DevOps】加入运维群交流，获取更多...\r\n![](https://starsl.cn/static/img/thanks.png)\r\n#### GitHub：[https://github.com/starsliao/TenSunS](https://github.com/starsliao/TenSunS)\r\n\r\n### 看板下载\r\n\r\n**TenSunS自动同步版**\r\n- Grafana ID: 8919\r\n- https://grafana.com/grafana/dashboards/8919\r\n\r\n**通用Job分组版**\r\n- Grafana ID: 16098\r\n- https://grafana.com/grafana/dashboards/16098","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-04-12T23:35:33.000Z","updatedAt":"2024-06-20T02:51:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16098"},{"rel":"revisions","href":"/dashboards/16098/revisions"},{"rel":"revision","href":"/dashboards/16098/revisions/5"},{"rel":"download","href":"/dashboards/16098/revisions/5/download"},{"rel":"org","href":"/orgs/starsliao"},{"rel":"images","href":"/dashboards/16098/images"},{"rel":"thumbnails","href":"/dashboards/16098/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17577,"status":1,"statusCode":"active","orgId":403611,"orgSlug":"cweijan","orgName":"cweijan","slug":"node-exporter-dashboard-22-04-17","downloads":716,"revisionId":26976,"revision":1,"name":"Node Exporter Dashboard 22/04/17","description":"使用Grafana8新表格重建，新增健康评分概念，并新增了整体资源消耗信息的一些图表。优化重要指标展示，包含整体资源展示与资源明细图表：CPU 内存 磁盘 IO 网络等监控指标。https://github.com/starsliao/ConsulManager","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-12-09T12:37:41.000Z","updatedAt":"2022-12-09T12:38:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17577"},{"rel":"revisions","href":"/dashboards/17577/revisions"},{"rel":"revision","href":"/dashboards/17577/revisions/1"},{"rel":"download","href":"/dashboards/17577/revisions/1/download"},{"rel":"org","href":"/orgs/cweijan"},{"rel":"images","href":"/dashboards/17577/images"},{"rel":"thumbnails","href":"/dashboards/17577/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11074,"status":1,"statusCode":"active","orgId":210798,"orgSlug":"starsliao","orgName":"StarsL.cn","slug":"node-exporter-for-prometheus-dashboard-en-v20201010","downloads":1479874,"revisionId":19084,"revision":9,"name":"Node Exporter Dashboard EN 20201010-StarsL.cn","description":"【English version】Update 2020.10.10, add the overall resource overview! Support Grafana6&7,Support Node Exporter v0.16 and above.Optimize the main metrics display. Includes: CPU, memory, disk IO, network, temperature and other monitoring metrics。https://github.com/starsliao/Prometheus","readme":"###  Grafana v6.7.4/v7.2.0 + node_exporter 1.0.1 test pass\r\n**If you are using grafana 6.x, please download and edit the json file, replace `table-old` with `table`, and then import it into grafana.**  \r\n\r\n---\r\n\r\n#### 【English version】Update 2020.10.10, add the overall resource overview! Support Grafana6&7,Support Node Exporter v0.16 and above.Optimize the main metrics display. Includes: CPU, memory, disk IO, network, temperature and other monitoring metrics。https://github.com/starsliao/Prometheus\r\n\r\n---\r\n\r\n【中文版】\r\n- #### [**基于Job分组的通用版：16098**](https://grafana.com/grafana/dashboards/16098)\r\n- #### [**基于ConsulManager自动同步版：8919**](https://grafana.com/grafana/dashboards/8919)\r\n\r\n---\r\n\r\n### 推荐使用【ConsulManager】来管理主机/MySQL/Redis与站点监控，自动同步云资源到Prometheus，更多惊喜！\r\n### [【ConsulManager介绍】](https://github.com/starsliao/ConsulManager)\r\n- #### [应用场景1：如何优雅的基于Consul自动同步ECS主机监控](https://github.com/starsliao/ConsulManager/blob/main/docs/ECS%E4%B8%BB%E6%9C%BA%E7%9B%91%E6%8E%A7.md)\r\n- #### [应用场景2：如何优雅的使用Consul管理Blackbox站点监控](https://github.com/starsliao/ConsulManager/blob/main/docs/blackbox%E7%AB%99%E7%82%B9%E7%9B%91%E6%8E%A7.md)\r\n- #### [应用场景3：如何把云主机自动同步到JumpServer](https://github.com/starsliao/ConsulManager/blob/main/docs/%E5%A6%82%E4%BD%95%E6%8A%8A%E4%B8%BB%E6%9C%BA%E8%87%AA%E5%8A%A8%E5%90%8C%E6%AD%A5%E5%88%B0JumpServer.md)\r\n- #### [应用场景4：使用1个mysqld_exporter监控所有的MySQL实例](https://github.com/starsliao/ConsulManager/blob/main/docs/%E5%A6%82%E4%BD%95%E4%BC%98%E9%9B%85%E7%9A%84%E4%BD%BF%E7%94%A8%E4%B8%80%E4%B8%AAmysqld_exporter%E7%9B%91%E6%8E%A7%E6%89%80%E6%9C%89%E7%9A%84MySQL%E5%AE%9E%E4%BE%8B.md)\r\n- #### [应用场景5：使用1个redis_exporter监控所有的Redis实例](https://github.com/starsliao/ConsulManager/blob/main/docs/%E4%BD%BF%E7%94%A8%E4%B8%80%E4%B8%AAredis_exporter%E7%9B%91%E6%8E%A7%E6%89%80%E6%9C%89%E7%9A%84Redis%E5%AE%9E%E4%BE%8B.md)\r\n\r\n---\r\n\r\n### Important update:\r\n- Newly added data source variable `origin_prometheus`, taken from the external system label of Prometheus: `external_labels` can be used to support multiple scenarios where Prometheus accesses to VictoriaMetrics or Thanos and other third-party storage to use the `remote_write` method. (No value by default, the absence of this label in the indicator does not affect the use)\r\n**`VictoriaMetrics` please use v1.42.0 and above versions, which fixed the problem of displaying the grafana table.**\r\n\r\n- Added the time interval variable `interval`, all graphs are associated with this variable, and the granularity of the graph can be adjusted by selecting the time interval as needed. **Note that the `scrape_interval` prometheus.yml. If there are less than 2 values in the `rate` time interval, the graph cannot be displayed. When it is equal to 2 values, `rate` is `irate`.**(The default time interval is set to 2 minutes. If your Prometheus `scrape_interval` is greater than 1 minute, the graph will not be displayed. Just choose a larger time interval.)\r\n\r\n---\r\n\r\n### Compatibility Release Notes:\r\nIf you import the dashboard, you get an error:\r\n```\r\nFailed create dashboard model\r\nCannot read property 'Symbol(Symbol.iterator)' of undefined\r\n```\r\nNote that your grafana version is too low, does not support the new BAR GAUGE chart, it is **recommended** to upgrade to **the latest version of grafana**, or re-import version without BAR GAUGE:\r\n\r\n[https://grafana.com/grafana/dashboards/11173](https://grafana.com/grafana/dashboards/11173)\r\n\r\n---\r\n### Blog：[StarsL.cn](https://starsl.cn/)\r\n### GitHub：[https://github.com/starsliao/Prometheus](https://github.com/starsliao/Prometheus)\r\n---\r\n\r\n#### Screenshots：\r\n**Resource Overview**\r\n![Resource Overview](https://raw.githubusercontent.com/starsliao/Prometheus/master/node_exporter/ensa.png)\r\n**Resource Details**\r\n![Resource Details](https://raw.githubusercontent.com/starsliao/Prometheus/master/node_exporter/ens1.png)\r\n## Notes:\r\n------\r\n#### After import the dashboard, please click `Dashboardsettings`-- `Variables` to set the variable in the upper right corner of the dashboard according to the actual situation。\r\n\r\n**The three variables:`$job`, `$hostname` and `$node` will be set and associated by default.**\r\n\r\n- **`$node` takes the `instance` of node_exporter, `ip:port` format. Most queries are associated with this variable, please make sure it is valid.**\r\n\r\n- `$maxmount` is used to check the maximum partition of the current host. Normally can only obtain partitions of type `ext.*` and `xfs` by default.\r\n------\r\n\r\n### 【update】：\r\n#### 2020/10/10\r\n1. The `origin_prometheus` variable removed ALL to solve the problem of no data after clicking the link in the summary table.\r\n#### 2020/10/03\r\n1. Added 5-minute load, TCP connection number, timewait number, and total number of hosts to the resource overview table, and removed paging.\r\n2. Fixed the problem of links to resource details in the resource overview table.\r\n3. Replace all `irate` to be `rate`, increased the time interval variable, and can self-control the graph granularity. For more details, please refer to the description of **Important Update** as above.\r\n4. Added data source variables to support multiple Prometheus. For more details, please refer to the description of **Important Update** as above.\r\n5. Modified the description of the resource overview chart. Move the mouse to **`i`** in the upper left corner of the table to view it.\r\n#### 2020/06/27\r\n1. Added a 5-minute load value to the table on the resource overview page.\r\n2. Adjusted the resource details link of the resource overview page, you can switch the details of each host in the current window.\r\n3. Adjusted the options of the variable menu, Instance multi-selection can view multiple hosts at the same time on the detail page.\r\n4. The node_exporter 1.0.1 test is used normally.\r\n#### 2020/05/30\r\n1. Added table details of overall host resources conditions and statistical graphs of overall host resources. The default contraction, can be grouped by Job, can be directly linked to the specified host details. (Pls refer to screenshot)\r\n2. Cancelled the graph of the host temperature, and increased the chart of the per hour flow rate.\r\n3. Corrected the calculation of the disk usage rate to be consistent with the algorithm of the `df` command.\r\n4. Optimized the calculation time value of some charts, speeded up the loading speed, and adjusted the display effect and position of some chart curves.\r\n#### 2019/11/2\r\n1. Adjusted the display metrics and descriptions of the Network Sockstat to make it more practical.\r\n2. Modified the display and description of the `node_disk_io_time_seconds_total` metrics.\r\n3. Add the reference value to the chart for each I/O read/write time-consuming.\r\n4. Optimized the display effect of part graph, fixed the color of some lines.\r\n#### 2019/10/30\r\n1. The pie chart that needs to be manually installed was removed, and the pie chart of the original disk information is integrated into the disk table information.\r\n2. Add a Bar Gauge to timely display the information such as cpu,memory , etc.\r\n3. Add a graph to turn on context switching and opening files.\r\n4. To separate the `Time Spent Doing I/Os` from the cpu usage graph.\r\n5. Most of the charts in the entire dashboard have been adjusted and optimized to enhance the practicality and compatibility.\r\n6. Fixed the issue about report error of displaying multiple server partial charts at the same time.\r\n#### 2019/7/1\r\n1. Add usage graph of disk partitions.\r\n2. Optimized data display effect.\r\n#### 2019/5/20\r\n1. Add server list multi-select support, graphs can display data of multiple servers.\r\n2. Optimized the display effect of variables.\r\n3. Optimize the description of some monitoring metrics, click the \"i\" in the upper left corner of the chart to view.\r\n#### 2019/1/9\r\n1. Fixed a bug that showed inaccurate memory usage.\r\n2. Add a link to update node_exporter and dashboard.\r\n#### 11/16\r\n1. 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It has templating for selecting a node","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-10-21T15:06:09.000Z","updatedAt":"2016-10-21T15:16:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/704"},{"rel":"revisions","href":"/dashboards/704/revisions"},{"rel":"revision","href":"/dashboards/704/revisions/1"},{"rel":"download","href":"/dashboards/704/revisions/1/download"},{"rel":"org","href":"/orgs/clagos"},{"rel":"images","href":"/dashboards/704/images"},{"rel":"thumbnails","href":"/dashboards/704/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10372,"status":1,"statusCode":"active","orgId":226267,"orgSlug":"bobrebyc","orgName":"bobrebyc","slug":"node-exporter-simple","downloads":865,"revisionId":14521,"revision":3,"name":"Node exporter simple","description":"Simple and clever dashboard for basic host metric (CPU, RAM, Free space, network). 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Cacti style)","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-06-18T15:55:59.000Z","updatedAt":"2019-06-20T08:35:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10372"},{"rel":"revisions","href":"/dashboards/10372/revisions"},{"rel":"revision","href":"/dashboards/10372/revisions/3"},{"rel":"download","href":"/dashboards/10372/revisions/3/download"},{"rel":"org","href":"/orgs/bobrebyc"},{"rel":"images","href":"/dashboards/10372/images"},{"rel":"thumbnails","href":"/dashboards/10372/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22,"status":1,"statusCode":"active","orgId":14101,"orgSlug":"bergquistnet","orgName":"bergquistnet","slug":"node-exporter-single-server","downloads":12946,"revisionId":4227,"revision":7,"name":"Node exporter single server","description":"Dashboard to get an overview of one server","readme":"Dashboard for getting a quickly overview of a single server.\r\nBased on the data from [node_exporter](https://github.com/prometheus/node_exporter) using default flags.\r\n\r\nThe dashboard includes \r\n - Idle cpu per core\r\n - System load 1m/5m/15m\r\n - Free memory\r\n - Disk usage from all avilable disks.\r\n - Data transfer (received/transmitted)\r\n\r\n## Feedback\r\nComments? suggestions? Please open issues/pull requests to [https://github.com/bergquist/dashboards](https://github.com/bergquist/dashboards)\r\n","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-06-21T12:19:27.000Z","updatedAt":"2017-08-30T20:36:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22"},{"rel":"revisions","href":"/dashboards/22/revisions"},{"rel":"revision","href":"/dashboards/22/revisions/7"},{"rel":"download","href":"/dashboards/22/revisions/7/download"},{"rel":"org","href":"/orgs/bergquistnet"},{"rel":"images","href":"/dashboards/22/images"},{"rel":"thumbnails","href":"/dashboards/22/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13427,"status":1,"statusCode":"active","orgId":284329,"orgSlug":"will2","orgName":"will2","slug":"node-exporter-slurm","downloads":10002,"revisionId":19576,"revision":1,"name":"Node Exporter Slurm","description":"Mash up of slurm-stats and node-exporter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch, Prometheus","privacy":"public","createdAt":"2020-11-19T17:41:05.000Z","updatedAt":"2020-11-19T17:41:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13427"},{"rel":"revisions","href":"/dashboards/13427/revisions"},{"rel":"revision","href":"/dashboards/13427/revisions/1"},{"rel":"download","href":"/dashboards/13427/revisions/1/download"},{"rel":"org","href":"/orgs/will2"},{"rel":"images","href":"/dashboards/13427/images"},{"rel":"thumbnails","href":"/dashboards/13427/thumbnails"}],"datasourceSlugs":["elasticsearch","prometheus"]},{"id":1523,"status":1,"statusCode":"active","orgId":44840,"orgSlug":"cherrot","orgName":"cherrot","slug":"node-exporter-stats","downloads":1498,"revisionId":2045,"revision":1,"name":"Node exporter stats","description":"Dashboard to get an overview of one server","readme":"Based on https://grafana.net/dashboards/704.\r\nSupport CPU, memory, disk I/O, network I/O, network connections, etc","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-02-17T15:03:14.000Z","updatedAt":"2017-02-17T15:09:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1523"},{"rel":"revisions","href":"/dashboards/1523/revisions"},{"rel":"revision","href":"/dashboards/1523/revisions/1"},{"rel":"download","href":"/dashboards/1523/revisions/1/download"},{"rel":"org","href":"/orgs/cherrot"},{"rel":"images","href":"/dashboards/1523/images"},{"rel":"thumbnails","href":"/dashboards/1523/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8727,"status":1,"statusCode":"active","orgId":73813,"orgSlug":"hugodopradofernandes","orgName":"hugodopradofernandes","slug":"node-exporter-stats","downloads":1248,"revisionId":21905,"revision":6,"name":"Node exporter stats","description":"One more Dashboard to get an overview of one server each time","readme":"One more Dashboard to get an overview of one server each time","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-10-30T15:42:50.000Z","updatedAt":"2021-07-20T00:47:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8727"},{"rel":"revisions","href":"/dashboards/8727/revisions"},{"rel":"revision","href":"/dashboards/8727/revisions/6"},{"rel":"download","href":"/dashboards/8727/revisions/6/download"},{"rel":"org","href":"/orgs/hugodopradofernandes"},{"rel":"images","href":"/dashboards/8727/images"},{"rel":"thumbnails","href":"/dashboards/8727/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21198,"status":1,"statusCode":"active","orgId":851401,"orgSlug":"strongpapazola","orgName":"strongpapazola","slug":"infrastructure-pajakio-summary","downloads":2428,"revisionId":32985,"revision":1,"name":"Node Exporter Summary","description":"Infrastructure Monitoring Dashboard: Summary Server Dashboard","readme":"# Infrastructure Monitoring Dashboard: Summary Server Dashboard\r\nFollow me : https://github.com/strongpapazola\r\n\r\n\r\n## Overview\r\n\r\nThis dashboard provides a comprehensive summary of the server resource usage across our infrastructure. It is designed to give a clear and concise view of CPU, RAM, and Disk usage for each server, grouped by their respective jobs or roles within the infrastructure. The dashboard is divided into three main sections: CPU usage, RAM usage, and Disk usage.\r\n\r\n## Sections\r\n\r\n### Summary Server CPU\r\n- **Purpose**: Displays the percentage of CPU usage for each server.\r\n- **Visualization**: Bar Gauge\r\n- **Description**: Each bar represents the CPU usage percentage of a specific server. This helps in identifying which servers are currently under heavy load or utilizing minimal CPU resources. The bar gauge is color-coded to quickly highlight servers with high CPU usage.\r\n- **Usage**: Useful for identifying CPU bottlenecks and ensuring that CPU resources are efficiently utilized across the infrastructure.\r\n\r\n### Summary Server RAM\r\n- **Purpose**: Displays the percentage of RAM usage for each server.\r\n- **Visualization**: Bar Gauge\r\n- **Description**: Each bar represents the RAM usage percentage of a specific server. This section helps in monitoring the memory usage and ensures that no server is running out of memory. The color-coded bars provide a quick visual indication of servers with high RAM usage.\r\n- **Usage**: Essential for tracking memory utilization and preventing memory overcommitment or shortages, which can affect server performance.\r\n\r\n### Summary Server Disk\r\n- **Purpose**: Displays the percentage of Disk usage for each server.\r\n- **Visualization**: Bar Gauge\r\n- **Description**: Each bar represents the Disk usage percentage of a specific server. This helps in monitoring the storage capacity and usage of each server, ensuring that there is enough disk space available and identifying servers that may require additional storage. The color coding highlights servers with high disk usage, facilitating quick identification of potential storage issues.\r\n- **Usage**: Important for managing storage resources, preventing disk space shortages, and planning for future storage needs.\r\n\r\n## Features\r\n- **Real-Time Monitoring**: The dashboard provides real-time updates, ensuring that the data displayed is current and accurate.\r\n- **Color-Coded Indicators**: The bar gauges use color coding to highlight critical usage levels, making it easy to spot servers with high resource usage at a glance.\r\n- **Grouped by Job**: Servers are grouped by their job or role within the infrastructure, providing context and helping in understanding resource usage patterns.\r\n\r\n## Benefits\r\n- **Efficient Resource Management**: Helps in ensuring that CPU, RAM, and Disk resources are effectively utilized across the infrastructure.\r\n- **Quick Identification of Issues**: Color-coded bar gauges make it easy to identify servers that are under heavy load or running low on resources.\r\n- **Proactive Monitoring**: Enables proactive monitoring and management of server resources, preventing potential performance issues or outages.\r\n\r\n## Usage Instructions\r\n1. **CPU Usage Monitoring**: Keep an eye on the \"Summary Server CPU\" section to identify servers with high CPU usage and take necessary actions such as load balancing or scaling.\r\n2. **RAM Usage Monitoring**: Monitor the \"Summary Server RAM\" section to ensure that all servers have sufficient memory available and address any memory shortages.\r\n3. **Disk Usage Monitoring**: Regularly check the \"Summary Server Disk\" section to manage storage resources and plan for additional storage if needed.\r\n\r\nThis dashboard is an essential tool for maintaining optimal server performance and ensuring that our infrastructure runs smoothly and efficiently. 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If you have Prometheus, Loki and Grafana installed on your cluster then prometheus will already be scraping this data due to the scrape annotation on the deployment.\r\n\r\n## Note\r\n\r\nThis assumes that you have used [Recommended Labels](https://kubernetes.io/docs/concepts/overview/working-with-objects/common-labels/).  Make sure you have `app.kubernetes.io/name` label.\r\n\r\n### Requirements\r\n- Grafana >= 10.0","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2024-01-27T20:05:09.000Z","updatedAt":"2025-07-20T09:10:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20371"},{"rel":"revisions","href":"/dashboards/20371/revisions"},{"rel":"revision","href":"/dashboards/20371/revisions/8"},{"rel":"download","href":"/dashboards/20371/revisions/8/download"},{"rel":"org","href":"/orgs/saidsef"},{"rel":"images","href":"/dashboards/20371/images"},{"rel":"thumbnails","href":"/dashboards/20371/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":19062,"status":1,"statusCode":"active","orgId":508770,"orgSlug":"saidsef","orgName":"saidsef","slug":"nodejs-applications-dashboard","downloads":2699,"revisionId":37789,"revision":7,"name":"NodeJS Applications Dashboard","description":"node.js prometheus client basic metrics","readme":"# Grafana Dashboards\r\nNodeJS prom-client supports a rich collection of prometheus metrics. 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Monitor application performance, identify bottlenecks, and troubleshoot issues with real-time insights into heap memory, event loop utilization, HTTP latency percentiles, garbage collection, and service dependencies.","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus, Loki, Tempo, Grafana Pyroscope","privacy":"public","createdAt":"2025-11-22T02:22:53.000Z","updatedAt":"2025-11-22T02:27:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24439"},{"rel":"revisions","href":"/dashboards/24439/revisions"},{"rel":"revision","href":"/dashboards/24439/revisions/1"},{"rel":"download","href":"/dashboards/24439/revisions/1/download"},{"rel":"org","href":"/orgs/buendiagon"},{"rel":"images","href":"/dashboards/24439/images"},{"rel":"thumbnails","href":"/dashboards/24439/thumbnails"}],"datasourceSlugs":["grafana-pyroscope-datasource","loki","prometheus","tempo"]},{"id":12335,"status":1,"statusCode":"active","orgId":190507,"orgSlug":"qclaogui","orgName":"qclaogui","slug":"nodes","downloads":390,"revisionId":17634,"revision":1,"name":"Nodes","description":"A demo node for ourbluecity","readme":"A demo node for ourbluecity","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2020-05-20T07:39:08.000Z","updatedAt":"2020-05-20T07:47:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12335"},{"rel":"revisions","href":"/dashboards/12335/revisions"},{"rel":"revision","href":"/dashboards/12335/revisions/1"},{"rel":"download","href":"/dashboards/12335/revisions/1/download"},{"rel":"org","href":"/orgs/qclaogui"},{"rel":"images","href":"/dashboards/12335/images"},{"rel":"thumbnails","href":"/dashboards/12335/thumbnails"}]},{"id":24117,"status":1,"statusCode":"active","orgId":285936,"orgSlug":"arnaudlemaignen","orgName":"arnaudlemaignen","slug":"nodes","downloads":110,"revisionId":38469,"revision":1,"name":"Nodes","description":"Details of a node","readme":"### [Nodes](https://github.com/arnaudlemaignen/grafana-dashboards/tree/master/prometheus-ds/nodes)\r\n\r\nThis dashboard needs the node-exporter metrics to be scraped.","collectorType":"nodeExporter","collectorConfig":"```\r\n\"/bin/node_exporter\",\"--no-collector.arp\",\"--no-collector.bcache\",\"--no-collector.bonding\",\"--no-collector.btrfs\",\"--no-collector.conntrack\",\"--no-collector.edac\",\"--no-collector.entropy\",\"--no-collector.filefd\",\"--no-collector.hwmon\",\"--no-collector.infiniband\",\"--no-collector.ipvs\",\"--no-collector.mdadm\",\"--no-collector.powersupplyclass\",\"--no-collector.pressure\",\"--no-collector.rapl\",\"--no-collector.schedstat\",\"--no-collector.sockstat\",\"--no-collector.softnet\",\"--no-collector.textfile\",\"--no-collector.thermal_zone\",\"--no-collector.timex\",\"--no-collector.udp_queues\",\"--no-collector.uname\",\"--no-collector.xfs\",\"--no-collector.zfs\",\"--collector.processes\"\r\n```","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-09-20T00:48:46.000Z","updatedAt":"2025-09-26T15:56:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24117"},{"rel":"revisions","href":"/dashboards/24117/revisions"},{"rel":"revision","href":"/dashboards/24117/revisions/1"},{"rel":"download","href":"/dashboards/24117/revisions/1/download"},{"rel":"org","href":"/orgs/arnaudlemaignen"},{"rel":"images","href":"/dashboards/24117/images"},{"rel":"thumbnails","href":"/dashboards/24117/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8754,"status":1,"statusCode":"active","orgId":200598,"orgSlug":"adrianbalcan","orgName":"adrianbalcan","slug":"nodes-metrics-server-monitor-prometheus","downloads":2984,"revisionId":12036,"revision":1,"name":"Nodes - Metrics Server Monitor Prometheus","description":"Container/node usage exporter that collects data from heapster/metrics-server using low resources. 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scraped.","collectorType":"nodeExporter","collectorConfig":"```\r\n\"/bin/node_exporter\",\"--no-collector.arp\",\"--no-collector.bcache\",\"--no-collector.bonding\",\"--no-collector.btrfs\",\"--no-collector.conntrack\",\"--no-collector.edac\",\"--no-collector.entropy\",\"--no-collector.filefd\",\"--no-collector.hwmon\",\"--no-collector.infiniband\",\"--no-collector.ipvs\",\"--no-collector.mdadm\",\"--no-collector.powersupplyclass\",\"--no-collector.pressure\",\"--no-collector.rapl\",\"--no-collector.schedstat\",\"--no-collector.sockstat\",\"--no-collector.softnet\",\"--no-collector.textfile\",\"--no-collector.thermal_zone\",\"--no-collector.timex\",\"--no-collector.udp_queues\",\"--no-collector.uname\",\"--no-collector.xfs\",\"--no-collector.zfs\",\"--collector.processes\"\r\n```","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-09-20T00:49:59.000Z","updatedAt":"2025-09-26T16:01:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24118"},{"rel":"revisions","href":"/dashboards/24118/revisions"},{"rel":"revision","href":"/dashboards/24118/revisions/1"},{"rel":"download","href":"/dashboards/24118/revisions/1/download"},{"rel":"org","href":"/orgs/arnaudlemaignen"},{"rel":"images","href":"/dashboards/24118/images"},{"rel":"thumbnails","href":"/dashboards/24118/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7489,"status":1,"statusCode":"active","orgId":114758,"orgSlug":"jjenkswp","orgName":"Joshua 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validator","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-07T18:57:33.000Z","updatedAt":"2023-03-07T18:59:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18232"},{"rel":"revisions","href":"/dashboards/18232/revisions"},{"rel":"revision","href":"/dashboards/18232/revisions/1"},{"rel":"download","href":"/dashboards/18232/revisions/1/download"},{"rel":"org","href":"/orgs/itprozp"},{"rel":"images","href":"/dashboards/18232/images"},{"rel":"thumbnails","href":"/dashboards/18232/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3800,"status":1,"statusCode":"active","orgId":100337,"orgSlug":"fluffhead","orgName":"fluffhead","slug":"nomad","downloads":2627,"revisionId":5288,"revision":2,"name":"Nomad","description":"Nomad built-in telemetry plus github.com/alexebird/nomad-exporter metrics","readme":"Dashboard for Nomad built-in 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change!","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-11-21T00:33:55.000Z","updatedAt":"2017-11-30T03:02:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3800"},{"rel":"revisions","href":"/dashboards/3800/revisions"},{"rel":"revision","href":"/dashboards/3800/revisions/2"},{"rel":"download","href":"/dashboards/3800/revisions/2/download"},{"rel":"org","href":"/orgs/fluffhead"},{"rel":"images","href":"/dashboards/3800/images"},{"rel":"thumbnails","href":"/dashboards/3800/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16925,"status":1,"statusCode":"active","orgId":480529,"orgSlug":"mrkaran","orgName":"mrkaran","slug":"allocations","downloads":943,"revisionId":25958,"revision":1,"name":"Nomad Allocations","description":"Monitor resource metrics like CPU, Memory and Disk for each allocation across namespaces in a Nomad 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replace\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-05-27T06:19:00.000Z","updatedAt":"2018-05-27T06:30:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6278"},{"rel":"revisions","href":"/dashboards/6278/revisions"},{"rel":"revision","href":"/dashboards/6278/revisions/1"},{"rel":"download","href":"/dashboards/6278/revisions/1/download"},{"rel":"org","href":"/orgs/derekamz"},{"rel":"images","href":"/dashboards/6278/images"},{"rel":"thumbnails","href":"/dashboards/6278/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6281,"status":1,"statusCode":"active","orgId":28461,"orgSlug":"derekamz","orgName":"derekamz","slug":"nomad-jobs","downloads":1737,"revisionId":8549,"revision":1,"name":"Nomad Jobs","description":"Nomad Jobs metrics","readme":"Prometheus Job:\r\n```\r\n- job_name: nomad_metrics\r\n  params:\r\n    format:\r\n    - prometheus\r\n  scrape_interval: 5s\r\n  scrape_timeout: 5s\r\n  metrics_path: /v1/metrics\r\n  scheme: https\r\n  consul_sd_configs:\r\n  - server: <consul_addr>\r\n    token: <secret>\r\n    datacenter: <dc>\r\n    tag_separator: ','\r\n    scheme: http\r\n    services:\r\n    - nomad-client\r\n    - nomad\r\n  bearer_token: <secret>\r\n  tls_config:\r\n    insecure_skip_verify: true\r\n  relabel_configs:\r\n  - source_labels: [__meta_consul_tags]\r\n    separator: ;\r\n    regex: (.*)http(.*)\r\n    replacement: $1\r\n    action: keep\r\n  - source_labels: [__meta_consul_address]\r\n    separator: ;\r\n    regex: (.*)\r\n    target_label: __meta_consul_service_address\r\n    replacement: $1\r\n    action: replace\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-05-27T06:31:36.000Z","updatedAt":"2018-05-27T06:34:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6281"},{"rel":"revisions","href":"/dashboards/6281/revisions"},{"rel":"revision","href":"/dashboards/6281/revisions/1"},{"rel":"download","href":"/dashboards/6281/revisions/1/download"},{"rel":"org","href":"/orgs/derekamz"},{"rel":"images","href":"/dashboards/6281/images"},{"rel":"thumbnails","href":"/dashboards/6281/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12787,"status":1,"statusCode":"active","orgId":406537,"orgSlug":"liemle3893","orgName":"liemle3893","slug":"nomad-jobs","downloads":1455,"revisionId":18411,"revision":1,"name":"Nomad Jobs","description":"Nomad Jobs metrics","readme":"Easy to use and track Nomad Dashboard.\n\nI've extends from other Dashboard. Sorry but I can't find the original source.\nThank!","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-08-06T10:09:01.000Z","updatedAt":"2020-08-06T10:19:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12787"},{"rel":"revisions","href":"/dashboards/12787/revisions"},{"rel":"revision","href":"/dashboards/12787/revisions/1"},{"rel":"download","href":"/dashboards/12787/revisions/1/download"},{"rel":"org","href":"/orgs/liemle3893"},{"rel":"images","href":"/dashboards/12787/images"},{"rel":"thumbnails","href":"/dashboards/12787/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16924,"status":1,"statusCode":"active","orgId":480529,"orgSlug":"mrkaran","orgName":"mrkaran","slug":"server","downloads":737,"revisionId":25957,"revision":1,"name":"Nomad Server","description":"Monitor overall health, and resource usage of a Nomad cluster, 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Import this dashboard and set the appropriate Datasource, Bucket and Server.\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-04-23T22:36:51.000Z","updatedAt":"2025-04-23T23:10:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23314"},{"rel":"revisions","href":"/dashboards/23314/revisions"},{"rel":"revision","href":"/dashboards/23314/revisions/1"},{"rel":"download","href":"/dashboards/23314/revisions/1/download"},{"rel":"org","href":"/orgs/networkn3rd"},{"rel":"images","href":"/dashboards/23314/images"},{"rel":"thumbnails","href":"/dashboards/23314/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14357,"status":1,"statusCode":"active","orgId":491971,"orgSlug":"dennisfaucher","orgName":"dennisfaucher","slug":"ntopng-dynamic","downloads":606,"revisionId":21182,"revision":1,"name":"ntopng Network Flow","description":"Dynamic (variable) views of ntopng network flow data stored in MySQL/MariaDB. 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My definition looks like [this](https://imgur.com/a/S3xs1RG)\n* Import this dashboard into Grafana\n* Set the data source for the dashboard to your MariaDB/MySQL\n* Celebrate ?\n\nDemo of he dashboard and the setup can be found [here](https://youtu.be/Em6crXrn614)\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2021-05-04T18:44:20.000Z","updatedAt":"2021-05-05T10:38:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14357"},{"rel":"revisions","href":"/dashboards/14357/revisions"},{"rel":"revision","href":"/dashboards/14357/revisions/1"},{"rel":"download","href":"/dashboards/14357/revisions/1/download"},{"rel":"org","href":"/orgs/dennisfaucher"},{"rel":"images","href":"/dashboards/14357/images"},{"rel":"thumbnails","href":"/dashboards/14357/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":20071,"status":1,"statusCode":"active","orgId":1002133,"orgSlug":"aauren","orgName":"aauren","slug":"ntopng-exporter","downloads":437,"revisionId":32696,"revision":3,"name":"ntopng-exporter","description":"A dashboard for visualizing ntopng traffic via the ntopng-exporter","readme":"**Requires Prometheus metrics from [ntopng-exporter](https://github.com/aauren/ntopng-exporter) in order to function properly.**\r\n\r\nDashboard presents time series information about bandwidth and network utilization from [ntopng](https://www.ntop.org/products/traffic-analysis/ntop/).\r\n\r\n* ntopng can be downloaded and installed here: [https://www.ntop.org/get-started/download/](https://www.ntop.org/get-started/download/)\r\n* ntopng-exporter can be downloaded and installed here: [https://github.com/aauren/ntopng-exporter](https://github.com/aauren/ntopng-exporter)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-12-01T22:02:10.000Z","updatedAt":"2024-05-08T22:05:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20071"},{"rel":"revisions","href":"/dashboards/20071/revisions"},{"rel":"revision","href":"/dashboards/20071/revisions/3"},{"rel":"download","href":"/dashboards/20071/revisions/3/download"},{"rel":"org","href":"/orgs/aauren"},{"rel":"images","href":"/dashboards/20071/images"},{"rel":"thumbnails","href":"/dashboards/20071/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7496,"status":1,"statusCode":"active","orgId":149291,"orgSlug":"publicarray","orgName":"publicarray","slug":"ntp","downloads":3983,"revisionId":10184,"revision":1,"name":"NTP","description":"Dashboard for chrony or OpenNTPD.","readme":"[https://github.com/prometheus/node_exporter/blob/master/docs/TIME.md](https://github.com/prometheus/node_exporter/blob/master/docs/TIME.md)","collectorType":"nodeExporter","collectorConfig":"`node-exporter --collector.ntp --collector.ntp.server=\"10.19.96.2\" --collector.ntp.server-is-local`","collectorPluginList":"ntp","datasource":"Prometheus","privacy":"public","createdAt":"2018-08-11T03:03:25.000Z","updatedAt":"2018-08-11T05:44:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7496"},{"rel":"revisions","href":"/dashboards/7496/revisions"},{"rel":"revision","href":"/dashboards/7496/revisions/1"},{"rel":"download","href":"/dashboards/7496/revisions/1/download"},{"rel":"org","href":"/orgs/publicarray"},{"rel":"images","href":"/dashboards/7496/images"},{"rel":"thumbnails","href":"/dashboards/7496/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6471,"status":1,"statusCode":"active","orgId":149708,"orgSlug":"anthonysr","orgName":"Anthony R","slug":"ntp-metrics-single","downloads":898,"revisionId":9232,"revision":2,"name":"NTP Metrics - Single","description":"NTP metrics from a single Telegraf instance","readme":"Display NTP metrics for a single Telegraf instance, selectable via drop-down. 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Avalible Now at Grafana Dashboard 20077\r\n\r\n(https://github.com/masterwishx/NUT-UPS-InfluxDBv2)\r\n\r\nNetwork UPS Tools (NUT) for UNRAID by Rysz - https://forums.unraid.net/topic/60217-plugin-nut-v2-network-ups-tools/   \r\nnut-influxdbv2 - https://hub.docker.com/r/jwillmer/nut-influxdbv2","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-12-04T07:21:56.000Z","updatedAt":"2024-04-06T13:06:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20077"},{"rel":"revisions","href":"/dashboards/20077/revisions"},{"rel":"revision","href":"/dashboards/20077/revisions/1"},{"rel":"download","href":"/dashboards/20077/revisions/1/download"},{"rel":"org","href":"/orgs/masterwishx"},{"rel":"images","href":"/dashboards/20077/images"},{"rel":"thumbnails","href":"/dashboards/20077/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11712,"status":1,"statusCode":"active","orgId":346989,"orgSlug":"sbower","orgName":"sbower","slug":"nut-ups-status","downloads":455,"revisionId":16588,"revision":1,"name":"Nut UPS Status","description":"Dashboard for NUT UPS Metrics based on metrics from https://github.com/p404/nut_exporter","readme":"This is a dashboard providing and overview of metrics that are produced NUT via the prometheus NUT exporter found here: https://github.com/p404/nut_exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-02-10T02:05:52.000Z","updatedAt":"2020-02-10T02:10:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11712"},{"rel":"revisions","href":"/dashboards/11712/revisions"},{"rel":"revision","href":"/dashboards/11712/revisions/1"},{"rel":"download","href":"/dashboards/11712/revisions/1/download"},{"rel":"org","href":"/orgs/sbower"},{"rel":"images","href":"/dashboards/11712/images"},{"rel":"thumbnails","href":"/dashboards/11712/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23212,"status":1,"statusCode":"active","orgId":1150242,"orgSlug":"curtis18","orgName":"OISHII_TEST","slug":"nut-ups-telegraf","downloads":252,"revisionId":36739,"revision":1,"name":"NUT UPS Telegraf","description":"A dashboard to display data exported by NUT UPS","readme":"","collectorType":"Telegraf","collectorConfig":"# Monitor UPSes connected via Network UPS Tools\r\n[[inputs.upsd]]\r\n  ## A running NUT server to connect to.\r\n  ## IPv6 addresses must be enclosed in brackets (e.g. \"[::1]\")\r\n   server = 10.190.1.79\r\n   port = 3493\r\n  # username = \"user\"\r\n  # password = \"password\"\r\n\r\n   additional_fields = [\"*\"]\r\n\r\n# Map enum values according to given table.\r\n  ## ## UPS beeper status (enabled, disabled or muted)\r\n  ## Convert 'enabled' and 'disabled' values back to string from boolean\r\n[[processors.enum]]\r\n  [[processors.enum.mapping]]\r\n    field = \"ups_beeper_status\"\r\n    [processors.enum.mapping.value_mappings]\r\n      true = \"enabled\"\r\n      false = \"disabled\"\r\n\r\n[[outputs.influxdb_v2]]\r\n   ## IPv6 addresses must be enclosed in brackets (e.g. \"[::1]\")\r\n   url = http://10.190.1.79\r\n   port = 8086\r\n   username = \"dcadmin\"\r\n   password = \"dcadmin190!\"","collectorPluginList":"snmp, influxdb, Other","datasource":"InfluxDB","privacy":"public","createdAt":"2025-04-07T17:34:02.000Z","updatedAt":"2025-04-17T18:04:26.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23212"},{"rel":"revisions","href":"/dashboards/23212/revisions"},{"rel":"revision","href":"/dashboards/23212/revisions/1"},{"rel":"download","href":"/dashboards/23212/revisions/1/download"},{"rel":"org","href":"/orgs/curtis18"},{"rel":"images","href":"/dashboards/23212/images"},{"rel":"thumbnails","href":"/dashboards/23212/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20846,"status":1,"statusCode":"active","orgId":661981,"orgSlug":"masterwishx","orgName":"masterwishx","slug":"nut-ups-telegraf","downloads":566,"revisionId":38232,"revision":6,"name":"NUT UPS Telegraf","description":"A dashboard to display data exported by NUT UPS","readme":"## NUT in Grafana Dashboard\r\n\r\n####  Description:\r\n\r\nA comprehensive dashboard for visualizing data exported from Network UPS Tools (NUT) for UNRAID plugin or any other Linux system with NUT using InfluxDBv2 through Telegraf or similar tools. This dashboard leverages the NUT driver in Telegraf to collect UPS metrics and stores them in InfluxDB, which can then be visualized in Grafana.\r\n\r\n- NUT -> Telegraf -> InfluxDBv2 -> Grafana\r\n\r\n#### Key Features:\r\n\r\n* Real-time Monitoring: Display real-time data from your UPS.\r\n* Historical Data: Visualize historical UPS data over time.\r\n* Customizable Dashboard: Tailor the dashboard to include specific metrics like voltage, current, load, and temperature.\r\n* Integrations: Easily integrate with UNRAID or any Linux system running NUT.\r\n\r\n### Grafana Dashboard ID: **[20846](https://grafana.com/grafana/dashboards/20846-nut-ups-telegraf/)**\r\n\r\n<img width=\"2523\" height=\"972\" alt=\"Screenshot 2025-08-31 223538\" src=\"https://github.com/user-attachments/assets/375366cb-0bf0-4a47-a4b3-a6273783678b\" />\r\n<img width=\"2522\" height=\"1145\" alt=\"Screenshot 2025-08-31 222731\" src=\"https://github.com/user-attachments/assets/b52291f3-d0b1-4202-a126-758b28a85738\" />\r\n<img width=\"2530\" height=\"904\" alt=\"Screenshot 2025-08-31 223156\" src=\"https://github.com/user-attachments/assets/9571e225-a49f-409f-b63b-71969f2078ac\" />\r\n<img width=\"2535\" height=\"858\" alt=\"Screenshot 2025-08-31 223204\" src=\"https://github.com/user-attachments/assets/1e3de1db-77eb-4212-971a-44ad6e43015e\" />\r\n\r\n### Updates\r\n\r\n- **31.08.2025**  \r\n  - Added more variables for **Advanced UPS Info**.  \r\n  - Input/Output gauges now have **symmetric thresholds** with descriptions.  \r\n  - Added **Input/Output Voltage** and **Frequency Time Series panels** with thresholds.  \r\n  - Updated mapping values to use **regex** + several fixes.  \r\n\r\n- **17.03.2025**  \r\n  - Optimized **static stat panels** to show only the **last values**.  \r\n  - General fixes.  \r\n\r\n- **27.09.2024**  \r\n  - Added **Power Consumption – Costs UPS info panels**.  \r\n\r\n- **14.08.2024**  \r\n  - Added more info + fixes.  \r\n\r\n- **28.05.2024**  \r\n  - Added **multi-bucket support**.  \r\n\r\n### Steps\r\n\r\n You can change bucket name and add multiple buckets by : \r\n\r\n - Go to Dashboard Setting - Variables - Click on bucket - Custom options:\r\n\r\n ![image](https://github.com/masterwishx/NUT-UPS-InfluxDBv2/assets/28630321/a64a24e6-1be5-46d4-b0c1-7ea6b2da0716)\r\n\r\n- add next to telegraf config: \r\n\r\n```\r\n# Monitor UPSes connected via Network UPS Tools\r\n[[inputs.upsd]]\r\n  ## A running NUT server to connect to.\r\n  ## IPv6 addresses must be enclosed in brackets (e.g. \"[::1]\")\r\n   server = \"your IP\"\r\n   port = 3493\r\n  # username = \"user\"\r\n  # password = \"password\"\r\n\r\n   additional_fields = [\"*\"]\r\n\r\n# Map enum values according to given table.\r\n  ## ## UPS beeper status (enabled, disabled or muted)\r\n  ## Convert 'enabled' and 'disabled' values back to string from boolean\r\n[[processors.enum]]\r\n  [[processors.enum.mapping]]\r\n    field = \"ups_beeper_status\"\r\n    [processors.enum.mapping.value_mappings]\r\n      true = \"enabled\"\r\n      false = \"disabled\"\r\n\r\n[[outputs.influxdb_v2]]\r\n  ## The URLs of the InfluxDB cluster nodes.\r\n  ## Add all your info for influxDbv2\r\n```\r\n\r\n### Links\r\n\r\n- [NUT-UPS-InfluxDBv2 on Github](https://github.com/masterwishx/NUT-UPS-InfluxDBv2)\r\n- [Network UPS Tools (NUT) for UNRAID by Rysz](https://forums.unraid.net/topic/60217-plugin-nut-v2-network-ups-tools/)\r\n- [Telegraf](https://github.com/influxdata/telegraf)\r\n- [Influxdb2](https://github.com/influxdata/influxdb)\r\n- [Grafana](https://github.com/grafana/grafana)","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2024-04-06T08:40:15.000Z","updatedAt":"2025-09-02T08:33:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20846"},{"rel":"revisions","href":"/dashboards/20846/revisions"},{"rel":"revision","href":"/dashboards/20846/revisions/6"},{"rel":"download","href":"/dashboards/20846/revisions/6/download"},{"rel":"org","href":"/orgs/masterwishx"},{"rel":"images","href":"/dashboards/20846/images"},{"rel":"thumbnails","href":"/dashboards/20846/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20020,"status":1,"statusCode":"active","orgId":994665,"orgSlug":"black1996","orgName":"black1996","slug":"nvidia","downloads":429,"revisionId":30777,"revision":1,"name":"Nvidia","description":"Nvidia GPU Metrics based on the prometheus metrics from github.com/utkuozdemir/nvidia_gpu_exporter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-22T07:39:59.000Z","updatedAt":"2023-11-22T07:40:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20020"},{"rel":"revisions","href":"/dashboards/20020/revisions"},{"rel":"revision","href":"/dashboards/20020/revisions/1"},{"rel":"download","href":"/dashboards/20020/revisions/1/download"},{"rel":"org","href":"/orgs/black1996"},{"rel":"images","href":"/dashboards/20020/images"},{"rel":"thumbnails","href":"/dashboards/20020/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24256,"status":1,"statusCode":"active","orgId":1562310,"orgSlug":"masterixgm","orgName":"masterixgm","slug":"nvidia-dcgm-smi-style-sin-power-temp","downloads":136,"revisionId":38698,"revision":1,"name":"NVIDIA DCGM – SMI-style (sin power/temp)","description":"NVIDIA DCGM with NVIDIA-SMI","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-10-16T10:10:24.000Z","updatedAt":"2025-10-16T10:18:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24256"},{"rel":"revisions","href":"/dashboards/24256/revisions"},{"rel":"revision","href":"/dashboards/24256/revisions/1"},{"rel":"download","href":"/dashboards/24256/revisions/1/download"},{"rel":"org","href":"/orgs/masterixgm"},{"rel":"images","href":"/dashboards/24256/images"},{"rel":"thumbnails","href":"/dashboards/24256/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23382,"status":1,"statusCode":"active","orgId":1420140,"orgSlug":"mmahdisetak","orgName":"M.Mahdi Setak","slug":"nvidia-mig-dcgm","downloads":2862,"revisionId":37109,"revision":1,"name":"NVIDIA DCGM Dashboard for Kubernetes (MIG & Non-MIG GPUs)","description":"This Grafana dashboard uses the NVIDIA DCGM exporter to monitor GPU performance in Kubernetes clusters. Supporting both MIG and non-MIG GPUs, it provides real-time metrics on utilization, memory, temperature, power, and more, enabling efficient management of NVIDIA GPU resources.","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-05-05T10:47:43.000Z","updatedAt":"2025-05-06T15:09:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23382"},{"rel":"revisions","href":"/dashboards/23382/revisions"},{"rel":"revision","href":"/dashboards/23382/revisions/1"},{"rel":"download","href":"/dashboards/23382/revisions/1/download"},{"rel":"org","href":"/orgs/mmahdisetak"},{"rel":"images","href":"/dashboards/23382/images"},{"rel":"thumbnails","href":"/dashboards/23382/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15117,"status":1,"statusCode":"active","orgId":350310,"orgSlug":"yaoge123","orgName":"yaoge123","slug":"nvidia-dcgm-exporter","downloads":4963,"revisionId":26167,"revision":2,"name":"NVIDIA DCGM Exporter","description":"This dashboard is to display the metrics from DCGM Exporter","readme":"This dashboard displays GPU metrics collected from NVIDIA dcgm-exporter via a metric endpoint added to Prometheus. A separate endpoint is added to Prometheus via a Service Monitor.\r\n\r\nManagement Node: (download and build dcgm-exporter)\r\n```\r\n[yaoge123]$ git clone https://github.com/NVIDIA/dcgm-exporter.git\r\n[yaoge123]$ cd dcgm-exporter\r\n[yaoge123]$ make binary\r\n```\r\nCompute Node shell script:\r\n```\r\n#!/bin/sh\r\nif [[ $(/sbin/lspci|/usr/bin/grep NVIDIA) ]];then\r\n\twget -q -O /usr/local/sbin/dcgm-exporter http://mgmt/dcgm-exporter/cmd/dcgm-exporter/dcgm-exporter\r\n\tmkdir /etc/dcgm-exporter\r\n\twget -q -O /etc/dcgm-exporter/default-counters.csv http://mgmt/dcgm-exporter/etc/default-counters.csv\r\n\twget -q -O /etc/dcgm-exporter/dcp-metrics-included.csv http://mgmt/dcgm-exporter/etc/dcp-metrics-included.csv\r\n\tchmod +x /usr/local/sbin/dcgm-exporter\r\n\t\r\n\tif [[ \"$(timeout 2s /usr/local/sbin/dcgm-exporter 2>&1|grep DCP)\" =~ \"\\\"Collecting DCP Metrics\\\"\" ]];then \r\n\t\tcollectors=\"dcp-metrics-included.csv\"\r\n\telse\r\n\t\tcollectors=\"default-counters.csv\"\r\n\tfi\r\n\r\n\tcat > /etc/systemd/system/dcgm-exporter.service <<EOF\r\n[Unit]\r\nDescription=Prometheus DCGM exporter\r\nWants=network-online.target nvidia-dcgm.service\r\nAfter=network-online.target nvidia-dcgm.service\r\n\r\n[Service]\r\nType=simple\r\nRestart=always\r\nExecStart=/usr/local/sbin/dcgm-exporter -f /etc/dcgm-exporter/$collectors\r\n\r\n[Install]\r\nWantedBy=multi-user.target\r\nEOF\r\n\tsystemctl daemon-reload\r\n\tsystemctl enable dcgm-exporter.service\r\n\tsystemctl restart dcgm-exporter.service\r\n\tcurl -X PUT -d '{\\\"id\\\": \\\"${HOSTNAME}_dcgm-exporter\\\",\\\"name\\\": \\\"dcgm_exporter\\\",\\\"address\\\": \\\"${HOSTNAME}\\\",\\\"port\\\": 9400,\\\"tags\\\": [\"prometheus\",\"hpc\",\"compute\"],\\\"checks\\\": [{\\\"http\\\": \\\"http://${HOSTNAME}:9400/metrics\\\",\\\"interval\\\": \\\"60s\\\"}]}' http://consul:8500/v1/agent/service/register\r\nfi\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-10-16T23:36:44.000Z","updatedAt":"2022-09-26T14:08:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15117"},{"rel":"revisions","href":"/dashboards/15117/revisions"},{"rel":"revision","href":"/dashboards/15117/revisions/2"},{"rel":"download","href":"/dashboards/15117/revisions/2/download"},{"rel":"org","href":"/orgs/yaoge123"},{"rel":"images","href":"/dashboards/15117/images"},{"rel":"thumbnails","href":"/dashboards/15117/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12239,"status":1,"statusCode":"active","orgId":379218,"orgSlug":"nvidia","orgName":"nvidia","slug":"nvidia-dcgm-exporter-dashboard","downloads":36417368,"revisionId":22479,"revision":2,"name":"NVIDIA DCGM Exporter Dashboard","description":"This dashboard is to display the metrics from DCGM Exporter on a Kubernetes (1.13+) cluster","readme":"# Introduction\nThis dashboard displays GPU metrics collected from NVIDIA [dcgm-exporter](https://github.com/NVIDIA/dcgm-exporter/) via a metric endpoint added to Prometheus. A separate endpoint is added to Prometheus via a Service Monitor.\n\nRefer to the [documentation](https://docs.nvidia.com/datacenter/cloud-native/kubernetes/dcgme2e.html#gpu-telemetry) on getting started with GPU metrics ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-05-06T00:56:44.000Z","updatedAt":"2021-09-23T19:11:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":8,"reviewsAvgRating":3.5,"links":[{"rel":"self","href":"/dashboards/12239"},{"rel":"revisions","href":"/dashboards/12239/revisions"},{"rel":"revision","href":"/dashboards/12239/revisions/2"},{"rel":"download","href":"/dashboards/12239/revisions/2/download"},{"rel":"org","href":"/orgs/nvidia"},{"rel":"images","href":"/dashboards/12239/images"},{"rel":"thumbnails","href":"/dashboards/12239/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12219,"status":1,"statusCode":"active","orgId":377966,"orgSlug":"rgaubert","orgName":"rgaubert","slug":"nvidia-dcgm-exporter-dashboard","downloads":640766,"revisionId":17408,"revision":1,"name":"NVIDIA DCGM Exporter Dashboard","description":"This dashboard is to display the metrics from DCGM Exporter on a Kubernetes (1.13+) cluster","readme":"# Introduction\nThis dashboard displays GPU metrics collected from NVIDIA [dcgm-exporter](https://github.com/NVIDIA/gpu-monitoring-tools/) via a metric endpoint added to Prometheus. A separate endpoint is added to Prometheus via a Service Monitor.\n\n# Quickstart\n```\nhelm install stable/prometheus-operator --generate-name \\\n    --set \"prometheus.prometheusSpec.serviceMonitorSelectorNilUsesHelmValues=false\"\n\nkubectl create -f https://raw.githubusercontent.com/NVIDIA/gpu-monitoring-tools/2.0.0-rc.8/dcgm-exporter.yaml\nkubectl create -f https://raw.githubusercontent.com/NVIDIA/gpu-monitoring-tools/2.0.0-rc.8/service-monitor.yaml\n```\n\nMore information on the [dcgm-exporter](https://github.com/NVIDIA/gpu-monitoring-tools/) README.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-05-02T06:46:14.000Z","updatedAt":"2020-05-06T00:27:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12219"},{"rel":"revisions","href":"/dashboards/12219/revisions"},{"rel":"revision","href":"/dashboards/12219/revisions/1"},{"rel":"download","href":"/dashboards/12219/revisions/1/download"},{"rel":"org","href":"/orgs/rgaubert"},{"rel":"images","href":"/dashboards/12219/images"},{"rel":"thumbnails","href":"/dashboards/12219/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13580,"status":1,"statusCode":"active","orgId":447201,"orgSlug":"chongchuanbing","orgName":"chongchuanbing","slug":"nvidia-dcgm-exporter-dashboard","downloads":456,"revisionId":19842,"revision":1,"name":"NVIDIA DCGM Exporter Dashboard","description":"This dashboard is to display the metrics from DCGM Exporter on a Kubernetes (1.13+) cluster","readme":"#### Github\n[github](https://github.com/chongchuanbing/gpu-monitoring-BasedOn-nvidia-dcgm-exporter)\n\n#### Denpendency\n* nvidia-docker2\n* k8s\n\n#### Requirements\n| component | version | image |\n| --- | :---: | --- |\n| nvidia-dcgm-exporter | 2.1.1  | nvidia/dcgm-exporter:2.0.13-2.1.2-ubuntu20.04 |\n| prometheus           | v2.3.1 | docker.io/prom/prometheus:v2.3.1 |\n| grafana              | 7.3.5  | grafana/grafana:7.3.5 |\n\n#### Document\n* [源码](https://github.com/NVIDIA/gpu-monitoring-tools)\n* [官方文档](https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/getting-started.html#using-grafana)\n* [prometheus操作](https://prometheus.io/docs/prometheus/latest/querying/operators)\n* [grafana doc](https://grafana.com/docs/grafana/latest/)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-12-16T02:34:45.000Z","updatedAt":"2020-12-16T02:35:23.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13580"},{"rel":"revisions","href":"/dashboards/13580/revisions"},{"rel":"revision","href":"/dashboards/13580/revisions/1"},{"rel":"download","href":"/dashboards/13580/revisions/1/download"},{"rel":"org","href":"/orgs/chongchuanbing"},{"rel":"images","href":"/dashboards/13580/images"},{"rel":"thumbnails","href":"/dashboards/13580/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22531,"status":1,"statusCode":"active","orgId":494491,"orgSlug":"mauropaladini","orgName":"mauropaladini","slug":"nvidia-dcgm-exporter-dashboard","downloads":727,"revisionId":35433,"revision":1,"name":"NVIDIA DCGM Exporter Dashboard","description":"This 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on a Kubernetes (1.13+) cluster","readme":"This dashboard displays GPU metrics collected from NVIDIA dcgm-exporter via a metric endpoint added to Prometheus. A separate endpoint is added to Prometheus via a Service Monitor.","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-19T02:41:06.000Z","updatedAt":"2024-06-19T02:52:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21362"},{"rel":"revisions","href":"/dashboards/21362/revisions"},{"rel":"revision","href":"/dashboards/21362/revisions/1"},{"rel":"download","href":"/dashboards/21362/revisions/1/download"},{"rel":"org","href":"/orgs/wutz"},{"rel":"images","href":"/dashboards/21362/images"},{"rel":"thumbnails","href":"/dashboards/21362/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25261,"status":1,"statusCode":"active","orgId":964051,"orgSlug":"christinaandonov","orgName":"christinaandonov","slug":"nvidia-dcgm-exporter-dashboard","downloads":55,"revisionId":40683,"revision":1,"name":"NVIDIA DCGM Exporter Dashboard","description":"This dashboard is to display the metrics from DCGM Exporter on a Kubernetes (1.34+) cluster","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-05-07T02:25:59.000Z","updatedAt":"2026-05-07T02:35:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25261"},{"rel":"revisions","href":"/dashboards/25261/revisions"},{"rel":"revision","href":"/dashboards/25261/revisions/1"},{"rel":"download","href":"/dashboards/25261/revisions/1/download"},{"rel":"org","href":"/orgs/christinaandonov"},{"rel":"images","href":"/dashboards/25261/images"},{"rel":"thumbnails","href":"/dashboards/25261/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14478,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"nvidia-geforce-gpu-monitoring","downloads":954,"revisionId":21431,"revision":2,"name":"NVIDIA GeForce - GPU Monitoring","description":"NVIDIA GeForce - GPU Monitoring using telegraf, HWInfo64, and Remote Sensor Monitor","readme":"This Dashboard is a combination of telegraf, reading from NVIDIA smi, which cames with NVIDIA drivers, plus HWInfo64 Pro + Remote Sensor Monitor\r\n\r\nYou should have something like this if you have all pre-requisites:\r\n![alt tag](https://www.jorgedelacruz.es/wp-content/uploads/2021/05/nvidia-grafana-001.jpg)\r\n\r\nMore information available in: https://jorgedelacruz.uk","collectorType":"Telegraf","collectorConfig":"Quite simple, just make sure you have the pre-requisites, and add this to your telegraf for windows:\r\n\r\n``` \r\n# Pulls statistics from nvidia GPUs attached to the host\r\n[[inputs.nvidia_smi]]\r\n  ## Optional: path to nvidia-smi binary, defaults to $PATH via exec.LookPath\r\n   bin_path = \"C:\\\\Program Files\\\\NVIDIA Corporation\\\\NVSMI\\\\nvidia-smi.exe\"\r\n\r\n  ## Optional: timeout for GPU polling\r\n  # timeout = \"5s\"\r\n  \r\n[[inputs.http]]\r\n#URL for ESXi for ARM data in JSON format\r\nurls = [\"http://localhost:55555/\"]\r\nmethod = \"GET\"\r\n#Overwrite measurement name from default `http` to `hwinfo_stats`\r\nname_override = \"hwinfo_stats\"\r\n\r\n#Exclude url and host items from tags\r\ntagexclude = [\"url\"]\r\n\r\n#Data from HTTP in JSON format\r\ndata_format = \"json\"\r\n\r\n#Set hwinfo metadata as tags\r\ntag_keys = [\"SensorClass\", \"SensorName\", \"SensorUnit\", \"SensorUpdateTime\"]\r\n\r\n#JSON values to set as string fields\r\njson_string_fields = [\"SensorValue\"]\r\n\r\ninsecure_skip_verify = true\r\n``` ","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-05-23T11:44:40.000Z","updatedAt":"2021-05-23T11:49:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14478"},{"rel":"revisions","href":"/dashboards/14478/revisions"},{"rel":"revision","href":"/dashboards/14478/revisions/2"},{"rel":"download","href":"/dashboards/14478/revisions/2/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/14478/images"},{"rel":"thumbnails","href":"/dashboards/14478/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":6387,"status":1,"statusCode":"active","orgId":155484,"orgSlug":"dlneintr","orgName":"dlneintr","slug":"gpus","downloads":5361,"revisionId":8703,"revision":1,"name":"Nvidia GPU","description":"GPU dashboard for nvidia metrics ","readme":"A handy little dashboard for GPU cluster workloads.\r\n\r\nAssumes gpu metrics are collected from [nvidia-exporter](https://github.com/BugRoger/nvidia-exporter).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-06-05T08:53:47.000Z","updatedAt":"2018-06-05T09:08:37.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/6387"},{"rel":"revisions","href":"/dashboards/6387/revisions"},{"rel":"revision","href":"/dashboards/6387/revisions/1"},{"rel":"download","href":"/dashboards/6387/revisions/1/download"},{"rel":"org","href":"/orgs/dlneintr"},{"rel":"images","href":"/dashboards/6387/images"},{"rel":"thumbnails","href":"/dashboards/6387/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10703,"status":1,"statusCode":"active","orgId":274671,"orgSlug":"panterrap","orgName":"panterrap","slug":"nvidia-gpu","downloads":1116,"revisionId":14940,"revision":1,"name":"Nvidia GPU","description":"GPU dashboard for nvidia metrics ","readme":"","collectorType":"nodeExporter","collectorConfig":"https://github.com/mindprince/nvidia_gpu_prometheus_exporter","collectorPluginList":"Other","datasource":"Prometheus","privacy":"public","createdAt":"2019-08-09T10:29:26.000Z","updatedAt":"2019-08-09T10:32:55.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/10703"},{"rel":"revisions","href":"/dashboards/10703/revisions"},{"rel":"revision","href":"/dashboards/10703/revisions/1"},{"rel":"download","href":"/dashboards/10703/revisions/1/download"},{"rel":"org","href":"/orgs/panterrap"},{"rel":"images","href":"/dashboards/10703/images"},{"rel":"thumbnails","href":"/dashboards/10703/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11957,"status":1,"statusCode":"active","orgId":362142,"orgSlug":"vikingix","orgName":"vikingix","slug":"nvidia-gpu","downloads":746,"revisionId":16967,"revision":1,"name":"Nvidia GPU","description":"GPU dashboard for nvidia metrics ","readme":"Based on Grafana dashboard 6387, with modification to adapt to metrics from nvidia-dcgm-exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-20T07:46:58.000Z","updatedAt":"2020-03-20T07:50:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11957"},{"rel":"revisions","href":"/dashboards/11957/revisions"},{"rel":"revision","href":"/dashboards/11957/revisions/1"},{"rel":"download","href":"/dashboards/11957/revisions/1/download"},{"rel":"org","href":"/orgs/vikingix"},{"rel":"images","href":"/dashboards/11957/images"},{"rel":"thumbnails","href":"/dashboards/11957/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22511,"status":1,"statusCode":"active","orgId":653965,"orgSlug":"cumaiaboulhousn","orgName":"cumaiaboulhousn","slug":"nvidia-gpu","downloads":378,"revisionId":35396,"revision":1,"name":"Nvidia GPU","description":"GPU dashboard for nvidia metrics ","readme":"","collectorType":"Snap","collectorConfig":null,"collectorPluginList":"CPU, Load","datasource":"Prometheus","privacy":"public","createdAt":"2024-12-12T09:05:58.000Z","updatedAt":"2024-12-12T09:10:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22511"},{"rel":"revisions","href":"/dashboards/22511/revisions"},{"rel":"revision","href":"/dashboards/22511/revisions/1"},{"rel":"download","href":"/dashboards/22511/revisions/1/download"},{"rel":"org","href":"/orgs/cumaiaboulhousn"},{"rel":"images","href":"/dashboards/22511/images"},{"rel":"thumbnails","href":"/dashboards/22511/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18288,"status":1,"statusCode":"active","orgId":341801,"orgSlug":"mrd2","orgName":"mrd2","slug":"nvidia-gpu","downloads":1122,"revisionId":28381,"revision":2,"name":"Nvidia GPU","description":"GPU dashboard for nvidia metrics ","readme":"To be used with the gpu-operator helm chart.\r\nSome considerations related to the metrics available:\r\n* Graph GPU utilization does not take into consideration MIG partition size :(\r\n* Table Usage for TimeSliced MIG is not showing usage correctly.\r\n\r\nThis was tested using NODE wide definitions (no modes or individual cards tested)\r\n\r\nContributions welcome! Send contributions to dy090.guerra@gmail.com\r\n\r\n## CHANGELOG:\r\n\r\n### Revision 2\r\n* Correct usage of Memory Metrics (instead of Bandwidth)\r\n* Replacement of the fan speed graph for the SM metrics\r\n* Added Profiling metrics for FP64, FP32 and FP16 together with Tensor core\r\n\r\nThe added/refactored metrics require the usage of a custom\r\ndcgmExporter configMap that exports the following metrics\r\nin addition to defaults:\r\n\r\n* DCGM_FI_PROF_PIPE_FP64_ACTIVE\r\n* DCGM_FI_PROF_PIPE_FP32_ACTIVE\r\n* DCGM_FI_PROF_PIPE_FP16_ACTIVE\r\n* DCGM_FI_PROF_SM_ACTIVE\r\n* DCGM_FI_PROF_SM_OCCUPANCY\r\n* DCGM_FI_DEV_FB_TOTAL \r\n\r\n__NOTE:__ consider using DCGM_FI_DEV_FB_TOTAL instead of (DCGM_FI_DEV_FB_FREE + DCGM_FI_DEV_FB_USED) in memory dashboards.\r\n\r\n### Revision 1\r\nFirst release\r\n\r\n## Contributors:\r\n* Diana Gaponcic\r\n* Diogo Guerra","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-16T14:03:40.000Z","updatedAt":"2023-04-12T14:52:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18288"},{"rel":"revisions","href":"/dashboards/18288/revisions"},{"rel":"revision","href":"/dashboards/18288/revisions/2"},{"rel":"download","href":"/dashboards/18288/revisions/2/download"},{"rel":"org","href":"/orgs/mrd2"},{"rel":"images","href":"/dashboards/18288/images"},{"rel":"thumbnails","href":"/dashboards/18288/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25271,"status":1,"statusCode":"active","orgId":1740116,"orgSlug":"ingero","orgName":"ingero","slug":"nvidia-gpu-cluster-overview-nccl-memcpy-throttle-multi-node","downloads":3,"revisionId":40702,"revision":1,"name":"NVIDIA GPU Cluster Overview: NCCL, memcpy, throttle (multi-node)","description":"Multi-node NVIDIA GPU cluster dashboard. One-glance health: active GPUs, NCCL collective rates by op_type, memcpy bandwidth by direction (h2d/d2h/d2d), throttle event counters, aggregate GPU memory. eBPF-collected agent metrics aggregated across N nodes. Pair with cluster-wide Prometheus + Ingero Fleet collector.","readme":"## What this dashboard shows\r\n\r\nA cluster-wide view of NVIDIA GPU activity, aggregated across every\r\nnode running the **Ingero agent** + **Ingero Fleet** collector.\r\nOne-glance cluster health on a single page.\r\n\r\nActive GPUs, active NCCL processes, aggregate GPU memory, total\r\nmemcpy throughput, NCCL collective rate, and throttle event volume\r\nacross the cluster, plus per-node breakdowns:\r\n\r\n- **GPU memory utilization per node** - one series per (instance, gpu_uuid).\r\n- **NCCL collective rate by op_type** - rate of `ncclAllReduce`,\r\n  `ncclAllGather`, `ncclBcast`, `ncclSend/Recv` etc. across the cluster.\r\n- **Memcpy bandwidth by direction** - `h2d` / `d2h` / `d2d` /\r\n  `default` / `unknown`. h2d-d2h skew = data-pipeline imbalance.\r\n- **Throttle event rate** - rising-edge counters per bucket\r\n  (`gpu_throttle_{power,thermal,sw,hw}_event_total`).\r\n- **NCCL-loaded process roster** - PID + libnccl version per node,\r\n  from the runtime libnccl discovery scanner.\r\n\r\nLinux only. amd64 + arm64 agents. Pair with the agent's\r\nsingle-host dashboards for drill-down.\r\n\r\n## How the data is collected\r\n\r\nThe Ingero agent attaches eBPF uprobes directly to `libcudart.so` +\r\n`libcuda.so` plus host tracepoints, NVML / `nvidia-smi` polls for\r\nmemory + throttle, and a libnccl discovery scanner that finds\r\nPyTorch / pip-installed NCCL ABIs at runtime (no system-libnccl\r\nrequired).\r\n\r\nEach agent emits OTLP / Prometheus on every node:\r\n\r\nsudo ingero trace --prometheus :9090\r\n\r\nEither scrape `:9090/metrics` from your cluster Prometheus / Grafana\r\nAlloy directly, or push OTLP to the Ingero Fleet collector for\r\ncluster-wide aggregation:\r\n\r\ningero fleet-push --collector https://ingero-fleet.:4317\r\n\r\nInstall agent: https://github.com/ingero-io/ingero\r\nInstall Fleet: https://github.com/ingero-io/ingero-fleet (helm chart in `helm/ingero-fleet`)\r\n\r\nThe metrics namespace is `gpu_*` (Prometheus) / `gpu.*` (OTLP).\r\nStandard label set: `instance` (per-node), `gpu_uuid`, `pid`,\r\n`op_type` (NCCL), `direction` (memcpy), `cluster_id` (when Fleet is\r\nin front).\r\n\r\n## Why eBPF over polling\r\n\r\nPolling via NVML / DCGM-exporter misses sub-poll CUDA call shape\r\nand provides no per-operation latency. Ingero attaches uprobes\r\ndirectly to libcudart + libcuda so every CUDA Runtime / Driver call\r\nis captured at function entry + return, yielding real per-call\r\nduration (not averaged). On the cluster level this means the\r\nstraggler-shape questions become answerable: \"which rank is slow\"\r\ninstead of \"everything looks roughly fine on average.\"\r\n\r\n## Companion dashboards\r\n\r\n- **Multi-node, this set:** Cluster Overview (this one), NCCL\r\n  Stragglers, Memcpy Bandwidth Breakdown, Memory Fragmentation,\r\n  Per-Node Deep Dive. All published under\r\n  https://grafana.com/orgs/ingero\r\n- **Single-host:** GPU Trace Overview, CUDA Op Performance, Memcpy\r\n  + NCCL, GPU Memory & Throttle. Use these when drilling into one\r\n  process on one box.\r\n- **Fleet pipeline health:** the operator dashboard for the\r\n  Ingero Fleet collector itself (peer-relative median + MAD across\r\n  the cluster). Different metrics, different audience.\r\n\r\n## Source\r\n\r\n- Agent: https://github.com/ingero-io/ingero\r\n- Fleet collector: https://github.com/ingero-io/ingero-fleet\r\n- Dashboard JSON: https://github.com/ingero-io/ingero-fleet/tree/main/examples/grafana/cluster\r\n- License: Apache-2.0 (same as the agent)\r\n\r\nIssues, panel suggestions, dashboard PRs welcome on\r\nhttps://github.com/ingero-io/ingero-fleet/issues","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-05-10T12:53:27.000Z","updatedAt":"2026-05-20T17:23:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25271"},{"rel":"revisions","href":"/dashboards/25271/revisions"},{"rel":"revision","href":"/dashboards/25271/revisions/1"},{"rel":"download","href":"/dashboards/25271/revisions/1/download"},{"rel":"org","href":"/orgs/ingero"},{"rel":"images","href":"/dashboards/25271/images"},{"rel":"thumbnails","href":"/dashboards/25271/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14574,"status":1,"statusCode":"active","orgId":510411,"orgSlug":"utkuozdemir","orgName":"utkuozdemir","slug":"nvidia-gpu-metrics","downloads":34174,"revisionId":34448,"revision":11,"name":"Nvidia GPU Metrics","description":"Nvidia GPU Metrics based on the 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GPU Metrics","description":"NVIDIA GPU Metrics","readme":"Updated - Aug 14th.\r\n\r\nPython Script Download:\r\n\r\n<https://github.com/trevorndodds/gpu-metrics>\r\n\r\n    elasticIndex = os.environ.get('GPU_METRICS_INDEX_NAME', 'gpu_metrics')\r\n    elasticMonitoringCluster = os.environ.get('GPU_METRICS_MONITORING_CLUSTER_URL', 'http://elasticsearch:9200')\r\n    interval = os.environ.get('GPU_METRICS_INTERVAL', 10)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2018-08-03T12:26:05.000Z","updatedAt":"2018-08-22T12:14:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7320"},{"rel":"revisions","href":"/dashboards/7320/revisions"},{"rel":"revision","href":"/dashboards/7320/revisions/3"},{"rel":"download","href":"/dashboards/7320/revisions/3/download"},{"rel":"org","href":"/orgs/trevor"},{"rel":"images","href":"/dashboards/7320/images"},{"rel":"thumbnails","href":"/dashboards/7320/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":15639,"status":1,"statusCode":"active","orgId":594192,"orgSlug":"livewalk","orgName":"livewalk","slug":"nvidia-gpu-metrics","downloads":17355,"revisionId":23602,"revision":1,"name":"Nvidia GPU Metrics","description":"Nvidia GPU Metrics based on the prometheus metrics from 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NVIDIA GPU Kubernetes cluster metrics version +1.13","readme":"This dashboard displays GPU metrics collected from [NVIDIA dcgm-exporter](https://gitlab.com/nvidia/container-toolkit/gpu-monitoring-tools/tree/master/exporters/prometheus-dcgm#nvidia-dcgm-exporter-for-prometheus) via a metric endpoint added to Prometheus. A separate endpoint is added to Prometheus via a scrape configmap as shown in the screenshot. You will need to update the Prometheus url in the datasource section for Grafana the display metrics. You can find all the [steps here](https://gitlab.com/nvidia/kubernetes/gpu-operator#gpu-monitoring)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-17T20:33:33.000Z","updatedAt":"2020-01-17T21:17:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11578"},{"rel":"revisions","href":"/dashboards/11578/revisions"},{"rel":"revision","href":"/dashboards/11578/revisions/1"},{"rel":"download","href":"/dashboards/11578/revisions/1/download"},{"rel":"org","href":"/orgs/swatig"},{"rel":"images","href":"/dashboards/11578/images"},{"rel":"thumbnails","href":"/dashboards/11578/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4214,"status":1,"statusCode":"active","orgId":109805,"orgSlug":"fnzv","orgName":"fnzv","slug":"nvidia-miner","downloads":664,"revisionId":5678,"revision":1,"name":"Nvidia GPU Miner ","description":"Small dashboard getting data from a Nvidia GPU miner","readme":"https://github.com/fnzv/gpuminer_stat","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-01-01T19:37:36.000Z","updatedAt":"2018-01-01T19:45:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4214"},{"rel":"revisions","href":"/dashboards/4214/revisions"},{"rel":"revision","href":"/dashboards/4214/revisions/1"},{"rel":"download","href":"/dashboards/4214/revisions/1/download"},{"rel":"org","href":"/orgs/fnzv"},{"rel":"images","href":"/dashboards/4214/images"},{"rel":"thumbnails","href":"/dashboards/4214/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":25277,"status":1,"statusCode":"active","orgId":1740116,"orgSlug":"ingero","orgName":"ingero","slug":"nvidia-gpu-trace-overview-cuda-nccl-memcpy-throttle","downloads":1,"revisionId":40708,"revision":1,"name":"NVIDIA GPU Trace Overview: CUDA, NCCL, memcpy, throttle","description":"Single-host NVIDIA GPU dashboard. Per-operation CUDA latency (p50/p95/p99) from eBPF uprobes on libcudart + libcuda. NCCL collective rates, memcpy bandwidth by direction (h2d/d2h/d2d), GPU memory, throttle state. amd64 + arm64.","readme":"## What this dashboard shows\r\n\r\nA single-host view of NVIDIA GPU activity, captured by the\r\n**Ingero agent** through eBPF uprobes on `libcudart.so` and\r\n`libcuda.so` plus NVML / `nvidia-smi` polls. The hero dashboard\r\nfor the solo-engineer trial path: install the agent, run, see\r\neverything on one screen.\r\n\r\nThe headline panels:\r\n\r\n- **CUDA op latency p99** - top-10 slowest operations from\r\n  `gpu_cuda_operation_duration_microseconds`. Real wall-clock\r\n  times for `cudaMemcpy`, `cudaLaunchKernel`, `cuMemAlloc_v2`,\r\n  `cuCtxSynchronize`, etc., measured at the libcudart and\r\n  libcuda boundaries.\r\n- **Memcpy bandwidth by direction** - h2d / d2h / d2d /\r\n  default / unknown.\r\n- **GPU memory used vs total** - one line per GPU.\r\n- **Throttle bitmask** - power / thermal / sw / hw. Concurrent\r\n  active = compound throttle.\r\n- **NCCL collective rate by op_type** - locally fired\r\n  collectives if the agent ran with `--nccl`.\r\n- **Local PIDs holding GPU memory** - process roster.\r\n\r\nLinux only. amd64 + arm64.\r\n\r\n## How the data is collected\r\n\r\n1. Install the **Ingero agent**:\r\n\r\n```\r\n   curl -sSL https://github.com/ingero-io/ingero/releases/latest/download/install.sh | bash\r\n```\r\n\r\n2. Run with the Prometheus exporter:\r\n\r\n```\r\n   sudo ingero trace --prometheus :9090\r\n```\r\n\r\n3. Scrape `:9090/metrics` from your Prometheus / Grafana Alloy /\r\nGrafana Cloud agent.\r\n\r\n4. Import this dashboard, pick your Prometheus datasource.\r\n\r\nThe agent's metrics namespace is `gpu_*` (Prometheus-format) /\r\n`gpu.*` (OTLP). Full list: see the\r\n[agent's CHANGELOG](https://github.com/ingero-io/ingero/blob/main/CHANGELOG.md).\r\n\r\n## Why eBPF\r\n\r\nPolling via NVML / `nvidia-smi` misses sub-second CUDA call shape.\r\nIngero attaches uprobes directly to `libcudart` + `libcuda` so\r\nevery CUDA Runtime / Driver call is captured at function entry +\r\nreturn, yielding real per-call duration (not averaged), exposed\r\nas `gpu_cuda_operation_duration_microseconds{percentile=p50|p95|p99}`.\r\nDCGM-exporter and `nvidia-smi --query-gpu` cannot do this; they\r\npoll device-state registers, not function calls.\r\n\r\n## Companion dashboards\r\n\r\n- **Single-host set** (this set): GPU Trace Overview (this one),\r\n  CUDA Op Profiler, GPU Data Movement (memcpy + NCCL on one host),\r\n  GPU Memory & Throttle.\r\n- **Multi-node cluster set** (paired with Ingero Fleet collector):\r\n  GPU Cluster Overview (#25271), NCCL Stragglers (#25273),\r\n  GPU Memcpy Bandwidth (#25274), GPU Memory Fragmentation (#25275),\r\n  Per-Node Drill-Down (#25276).\r\n- **Fleet pipeline health**: operator dashboard for the\r\n  Ingero Fleet collector itself.\r\n\r\nAll published under https://grafana.com/orgs/ingero\r\n\r\n## Source\r\n\r\n- Agent: https://github.com/ingero-io/ingero\r\n- Dashboard JSON: https://github.com/ingero-io/ingero/tree/main/examples/grafana/single-node\r\n- License: Apache-2.0\r\n\r\nIssues, panel suggestions, dashboard PRs welcome on\r\nhttps://github.com/ingero-io/ingero/issues","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-05-10T13:20:33.000Z","updatedAt":"2026-05-20T17:24:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25277"},{"rel":"revisions","href":"/dashboards/25277/revisions"},{"rel":"revision","href":"/dashboards/25277/revisions/1"},{"rel":"download","href":"/dashboards/25277/revisions/1/download"},{"rel":"org","href":"/orgs/ingero"},{"rel":"images","href":"/dashboards/25277/images"},{"rel":"thumbnails","href":"/dashboards/25277/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20622,"status":1,"statusCode":"active","orgId":397083,"orgSlug":"dotbalo","orgName":"dotbalo","slug":"nvidia-gpu-metrics","downloads":569,"revisionId":31860,"revision":1,"name":"Nvidia GPU监控面板","description":"Nvidia GPU监控中文面板，支持根据主机和UUID检索。Exporter地址：github.com/utkuozdemir/nvidia_gpu_exporter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-04T06:48:14.000Z","updatedAt":"2024-03-04T06:51:34.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20622"},{"rel":"revisions","href":"/dashboards/20622/revisions"},{"rel":"revision","href":"/dashboards/20622/revisions/1"},{"rel":"download","href":"/dashboards/20622/revisions/1/download"},{"rel":"org","href":"/orgs/dotbalo"},{"rel":"images","href":"/dashboards/20622/images"},{"rel":"thumbnails","href":"/dashboards/20622/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21727,"status":1,"statusCode":"active","orgId":1199148,"orgSlug":"nick99043","orgName":"nick99043","slug":"nvidia-jetson","downloads":308,"revisionId":33989,"revision":1,"name":"NVIDIA Jetson","description":"1","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-08-18T13:29:46.000Z","updatedAt":"2024-08-18T13:30:21.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21727"},{"rel":"revisions","href":"/dashboards/21727/revisions"},{"rel":"revision","href":"/dashboards/21727/revisions/1"},{"rel":"download","href":"/dashboards/21727/revisions/1/download"},{"rel":"org","href":"/orgs/nick99043"},{"rel":"images","href":"/dashboards/21727/images"},{"rel":"thumbnails","href":"/dashboards/21727/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22650,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"nvidia-jetson-orin-nano-super-monitoring","downloads":332,"revisionId":35718,"revision":1,"name":"NVIDIA Jetson Orin Nano Super Monitoring","description":"NVIDIA Jetson Orin Nano Super Monitoring (Flux & Grafana 11.x)","readme":"This dashboard contains multiples sections with the goal to monitor a full NVIDIA Jetson Nano Super board or boards, we have some sections to monitor the Linux and machine overall performance, and temperature. Special thanks to [Lex Rivera for his Linux System dashboard](https://grafana.com/orgs/lex)\r\n\r\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2026/01/jetson-dashboard.jpg)\r\n\r\nDashboard – Summary\r\n* Quick Overview – On the top bar we can find a quick overview of our NVIDIA Jetson Orin Nano: Uptime, Temperatures of the board, CPU/RAM/Swap usage, and processes and threats.\r\n* Resources consumption – The CPU/RAM consumption plus processes, load, etc. all in historical to detect spikes.\r\n* Network consumption – Truly important historical information with all we need regarding Network consumption and network status, like packets, drops, errors, etc.\r\n* Disk IOPS/Volume Usage – Multiple visualisations about disks and volumes, showing consumption, iops, etc.","collectorType":"Telegraf","collectorConfig":"```\r\n#In order to monitor both Network interfaces, eth0 and wlan0, uncomment, or add the next:\r\n[[inputs.cpu]]\r\n  percpu = true\r\n  totalcpu = true\r\n  collect_cpu_time = false\r\n  report_active = false\r\n[[inputs.disk]] \r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\"]\r\n[[inputs.io]]\r\n[[inputs.mem]]\r\n[[inputs.net]]\r\n[[inputs.system]]\r\n[[inputs.swap]]\r\n[[inputs.netstat]]\r\n[[inputs.processes]]\r\n[[inputs.kernel]]\r\n\r\n[[inputs.file]]\r\n  files = [\"/sys/devices/virtual/thermal/thermal_zone0/temp\"]\r\n  name_override = \"cpu_temperature\"\r\n  data_format = \"value\"\r\n  data_type = \"integer\"\r\n\r\n[[inputs.file]]\r\n  files = [\"/sys/devices/virtual/thermal/thermal_zone1/temp\"]\r\n  name_override = \"gpu_temperature\"\r\n  data_format = \"value\"\r\n  data_type = \"integer\"\r\n\r\n[[inputs.file]]\r\n  files = [\"/sys/devices/virtual/thermal/thermal_zone5/temp\"]\r\n  name_override = \"soc0_temperature\"\r\n  data_format = \"value\"\r\n  data_type = \"integer\"\r\n\r\n[[inputs.file]]\r\n  files = [\"/sys/devices/virtual/thermal/thermal_zone6/temp\"]\r\n  name_override = \"soc1_temperature\"\r\n  data_format = \"value\"\r\n  data_type = \"integer\"\r\n\r\n[[inputs.file]]\r\n  files = [\"/sys/devices/virtual/thermal/thermal_zone7/temp\"]\r\n  name_override = \"soc2_temperature\"\r\n  data_format = \"value\"\r\n  data_type = \"integer\"\r\n\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-01-08T09:51:21.000Z","updatedAt":"2025-01-15T19:42:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22650"},{"rel":"revisions","href":"/dashboards/22650/revisions"},{"rel":"revision","href":"/dashboards/22650/revisions/1"},{"rel":"download","href":"/dashboards/22650/revisions/1/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/22650/images"},{"rel":"thumbnails","href":"/dashboards/22650/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16640,"status":1,"statusCode":"active","orgId":682969,"orgSlug":"mattfeinberg","orgName":"mattfeinberg","slug":"nvidia-mig-dcgm-exporter-dashboard","downloads":916,"revisionId":25707,"revision":10,"name":"NVIDIA MIG DCGM Exporter Dashboard","description":"This dashboard is to display the metrics from DCGM Exporter on a Kubernetes (1.13+) cluster using GPUs in MIG mode","readme":"This dashboard displays GPU metrics for NVIDIA GPUs in MIG mode.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-07-25T18:28:48.000Z","updatedAt":"2022-08-23T15:07:02.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16640"},{"rel":"revisions","href":"/dashboards/16640/revisions"},{"rel":"revision","href":"/dashboards/16640/revisions/10"},{"rel":"download","href":"/dashboards/16640/revisions/10/download"},{"rel":"org","href":"/orgs/mattfeinberg"},{"rel":"images","href":"/dashboards/16640/images"},{"rel":"thumbnails","href":"/dashboards/16640/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21464,"status":1,"statusCode":"active","orgId":1166886,"orgSlug":"hustshawn","orgName":"hustshawn","slug":"nvidia-nim-monitoring","downloads":393,"revisionId":33445,"revision":1,"name":"NVIDIA NIM Monitoring","description":"NIM LLM monitoring with Data on EKS pattern","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-07-07T10:41:51.000Z","updatedAt":"2024-07-07T10:51:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21464"},{"rel":"revisions","href":"/dashboards/21464/revisions"},{"rel":"revision","href":"/dashboards/21464/revisions/1"},{"rel":"download","href":"/dashboards/21464/revisions/1/download"},{"rel":"org","href":"/orgs/hustshawn"},{"rel":"images","href":"/dashboards/21464/images"},{"rel":"thumbnails","href":"/dashboards/21464/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12357,"status":1,"statusCode":"active","orgId":137574,"orgSlug":"e7d","orgName":"e7d","slug":"nvidia-smi-graphs","downloads":1206,"revisionId":17687,"revision":1,"name":"NVIDIA SMI Metrics","description":"A Nvidia SMI dashboard for Prometheus Nvidia SMI exporter","readme":"A Nvidia SMI dashboard for [Prometheus Nvidia SMI exporter](https://github.com/e7d/docker-prometheus-nvidiasmi). \n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-05-25T09:44:02.000Z","updatedAt":"2020-05-25T09:59:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12357"},{"rel":"revisions","href":"/dashboards/12357/revisions"},{"rel":"revision","href":"/dashboards/12357/revisions/1"},{"rel":"download","href":"/dashboards/12357/revisions/1/download"},{"rel":"org","href":"/orgs/e7d"},{"rel":"images","href":"/dashboards/12357/images"},{"rel":"thumbnails","href":"/dashboards/12357/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16727,"status":1,"statusCode":"active","orgId":682969,"orgSlug":"mattfeinberg","orgName":"mattfeinberg","slug":"nvidia-vgpu-dcgm-exporter-dashboard","downloads":411,"revisionId":25708,"revision":3,"name":"NVIDIA vGPU DCGM Exporter Dashboard","description":"This dashboard is to display the metrics from DCGM Exporter on a Kubernetes (1.13+) cluster using GPUs in vGPU mode","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-08-17T16:10:57.000Z","updatedAt":"2022-08-23T15:07:21.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16727"},{"rel":"revisions","href":"/dashboards/16727/revisions"},{"rel":"revision","href":"/dashboards/16727/revisions/3"},{"rel":"download","href":"/dashboards/16727/revisions/3/download"},{"rel":"org","href":"/orgs/mattfeinberg"},{"rel":"images","href":"/dashboards/16727/images"},{"rel":"thumbnails","href":"/dashboards/16727/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11900,"status":1,"statusCode":"active","orgId":360232,"orgSlug":"black0fire7","orgName":"black0fire7","slug":"nvidia-graphs","downloads":1161,"revisionId":16886,"revision":2,"name":"Nvidia-Graphs","description":"Nvidia Graphics cards","readme":"I found no nvidia-smi dashboards, so I'm sharing mine :)\r\n\r\nhf!\r\n","collectorType":"Telegraf","collectorConfig":"##Use with telegraf and the the nvidia-smi plugin:\r\n\r\n    # Pulls statistics from nvidia GPUs attached to the host\r\n    [[inputs.nvidia_smi]]\r\n      ## Optional: path to nvidia-smi binary, defaults to $PATH via exec.LookPath\r\n      bin_path = \"C:\\\\Program Files\\\\NVIDIA Corporation\\\\NVSMI\\\\nvidia-smi.exe\"\r\n      ## Optional: timeout for GPU polling\r\n      timeout = \"5s\"\r\n","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-03-14T07:25:50.000Z","updatedAt":"2020-03-14T08:39:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/11900"},{"rel":"revisions","href":"/dashboards/11900/revisions"},{"rel":"revision","href":"/dashboards/11900/revisions/2"},{"rel":"download","href":"/dashboards/11900/revisions/2/download"},{"rel":"org","href":"/orgs/black0fire7"},{"rel":"images","href":"/dashboards/11900/images"},{"rel":"thumbnails","href":"/dashboards/11900/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18310,"status":1,"statusCode":"active","orgId":789576,"orgSlug":"xreyrobert","orgName":"xreyrobert","slug":"nvidia-smi","downloads":540,"revisionId":28120,"revision":1,"name":"Nvidia-smi-on-steroids","description":"nvidia-smi dashboard made to work with telegraf-nvidia-smi-plugin-on-steroid. (see https://github.com/XReyRobert/telegraf-nvidia-smi-plugin-on-steroid)","readme":"You like it? You use it? It saved you a couple of hours? Hey ??? [You can now buy me a coffee](https://www.buymeacoffee.com/xrrxrr)! ☕️ \r\n\r\nCheck out [https://github.com/XReyRobert/telegraf-nvidia-smi-plugin-on-steroid](telegraf-nvidia-smi-plugin-on-steroid) on github for full instructions.\r\n\r\nThere's already an[ NVIDIA SMI Telegraf Input Plugin](https://www.influxdata.com/integration/nvidia-smi/) but there's a limited number of fields and for some mysertious reasons it relies on some go code to invoke and parse nvidia-smi output.\r\n\r\nnvidia-smi is capable of outputing some XML but I don't like XML processing with telegraf so I use xq, a python based tool, to transform the XML to JSON.\r\n\r\nI simply use the [exec telegraf input plugin](https://github.com/influxdata/telegraf/tree/master/plugins/inputs/exec) to send that to an influxdb bucket.\r\n\r\nI made the choice to keep all fields (except gpu_processes) in the example configuration but you can use *excluded_keys*, *included_keys* to refine the volume of data flowing to the db.\r\n\r\nEnjoy !\r\n\r\n","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"exec","datasource":"InfluxDB","privacy":"public","createdAt":"2023-03-18T21:41:48.000Z","updatedAt":"2023-03-21T15:14:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/18310"},{"rel":"revisions","href":"/dashboards/18310/revisions"},{"rel":"revision","href":"/dashboards/18310/revisions/1"},{"rel":"download","href":"/dashboards/18310/revisions/1/download"},{"rel":"org","href":"/orgs/xreyrobert"},{"rel":"images","href":"/dashboards/18310/images"},{"rel":"thumbnails","href":"/dashboards/18310/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22589,"status":1,"statusCode":"active","orgId":1118120,"orgSlug":"xuehaipan","orgName":"xuehaipan","slug":"nvitop-dashboard","downloads":606,"revisionId":38125,"revision":8,"name":"nvitop-dashboard","description":"Grafana Dashboard built by `nvitop-exporter`.","readme":"Grafana Dashboard built by [`nvitop-exporter`](https://github.com/XuehaiPan/nvitop/tree/HEAD/nvitop-exporter).\r\n\r\n## Quickstart\r\n\r\nStart the exporter with the following command:\r\n\r\n```bash\r\npipx run nvitop-exporter --bind-address 0.0.0.0 --port 5050\r\n# or\r\nuvx nvitop-exporter --bind-address 0.0.0.0 --port 5050\r\n```\r\n\r\nThen you can access the metrics at `http://localhost:5050/metrics`.\r\n\r\nYou will need to configure Prometheus to scrape the metrics from the exporter.\r\n\r\n```yaml\r\nscrape_configs:\r\n  - 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Também é possível ter uma visão rápida dos serviços que estão consumindo mais tempo do processador e consumindo mais memória da instância (de acordo com a variável __instances__ selecionada).\r\n\r\nPara ter uma visão detalhada da instância utilize o dashboard [Observabilidade - Protheus Environment (Hosts)](https://grafana.com/grafana/dashboards/15660) (ID 15660)","collectorType":"Telegraf","collectorConfig":"Arquivo de configuração do Telegraf\r\n\r\nArquivo telegraf.com disponível no git, para Windows.\r\nhttps://raw.githubusercontent.com/HenriqueLuizz/monitoring/main/telegraf_win.conf\r\n\r\nArquivo telegraf.com disponível no git, para Linux.\r\nhttps://raw.githubusercontent.com/HenriqueLuizz/monitoring/main/telegraf_linux.conf\r\n","collectorPluginList":"win_perf_counters ","datasource":"InfluxDB","privacy":"public","createdAt":"2022-06-04T19:26:13.000Z","updatedAt":"2023-09-18T19:08:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16385"},{"rel":"revisions","href":"/dashboards/16385/revisions"},{"rel":"revision","href":"/dashboards/16385/revisions/4"},{"rel":"download","href":"/dashboards/16385/revisions/4/download"},{"rel":"org","href":"/orgs/hlsilva89"},{"rel":"images","href":"/dashboards/16385/images"},{"rel":"thumbnails","href":"/dashboards/16385/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19473,"status":1,"statusCode":"active","orgId":589565,"orgSlug":"hlsilva89","orgName":"hlsilva89","slug":"observability-protheus-environment-linux-detail","downloads":316,"revisionId":29866,"revision":1,"name":"Observability - Protheus Environment (Linux Detail)","description":"Detail View Protheus Environment (Linux)","readme":"# Observabilidade - Protheus Environment (Linux Hosts Detail)\r\n\r\n> Este dashboard pertence a uma série de documentações da Engenharia de Dados Protheus, que auxilia no monitoramento dos ambientes de desenvolvimento, homologação e produtivo.\r\n\r\nO dashboard Observability - Protheus Environment (Linux Detail), fornece uma visão geral das maquinas, é uma visão genérica que monitora os principais recursos. \r\n\r\n## Info\r\n\r\nNesta divisão é possível visualizar as informações da instância monitorada, como:\r\n\r\n- O tempo que está ligada (Uptime);\r\n\r\n- A quantidade de memória (Total Memory);\r\n\r\n- A quantidade de core (CPUs);\r\n\r\n- A quantidade e tamanho dos discos (Disks);\r\n\r\n- Link rapido para as documentações da Engenharia Protheus.\r\n\r\n## Geral\r\n\r\nNesta divisão é possível visualizar a visão geral do estado atual da instância.\r\n\r\n- Porcentagem e valor absoluto de consumo dos disco (% Disk Used e Disk Used);\r\n\r\n- Numero atual de threads abertas (Threads);\r\n\r\n- Numero atual de processos rodando (Processes);\r\n\r\n- Média total do número de processos em espera (Load Average);\r\n\r\n- Consumo total do processador em porcentagem (CPU Usage);\r\n\r\n- Consumo do processador separado por sistema e usuário (CPU Usage System e CPU Usage User);\r\n\r\n- Consumo de memória em porcentagem e valor absoluto (Memory Usage);\r\n\r\n- Porcentagem do processador ocioso (CPU IDLE);\r\n\r\n## Memory\r\n\r\nNesta divisão é possível visualizar a visão geral do estato atual da memória.\r\n\r\n- Histórico do consumo da memória no período selecionado (Memory History);\r\n\r\n- Histórico de consumo da memória sepado por processos (Processes by Memory).\r\n\r\n## CPU\r\n\r\nNesta divisão é possível visualizar a visão geral do estado atual do processador.\r\n\r\n- Histórico do consumo do processador (CPU History);\r\n\r\n- Histórico do consumo do processador separado por core (CPU History Per Core);\r\n\r\n## Processes\r\n\r\nNesta divisão é possível visualizar a visão geral do estado atual dos processos.\r\n\r\n- Numero de threads abertas por cada processo (Processes Threads);\r\n\r\n- Numero de handles por cada processo (Processes Handle Count);\r\n\r\n- Quantidade do consumo de memória pro cada processo (Processes Working Set). \r\n\r\n## Disk\r\n\r\nNesta divisão é possível visualizar a visão geral do estado atual do disco.\r\n\r\n- Tamanho do enfileiramento do disk (Disk Queue);\r\n\r\n- Tempo médio de latencia de cada disco na leitura e escrita (Avg. Disk Sec/Read Latency e Avg. 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Disk Sec/Read Latency e Avg. 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","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Oracle Cloud Infrastructure Metrics","privacy":"public","createdAt":"2021-03-04T15:55:30.000Z","updatedAt":"2021-12-03T06:55:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14006"},{"rel":"revisions","href":"/dashboards/14006/revisions"},{"rel":"revision","href":"/dashboards/14006/revisions/2"},{"rel":"download","href":"/dashboards/14006/revisions/2/download"},{"rel":"org","href":"/orgs/skillpedia"},{"rel":"images","href":"/dashboards/14006/images"},{"rel":"thumbnails","href":"/dashboards/14006/thumbnails"}],"datasourceSlugs":["oci-metrics-datasource"]},{"id":10499,"status":1,"statusCode":"active","orgId":262521,"orgSlug":"yuaraki","orgName":"yu araki","slug":"oci-blockstore","downloads":356,"revisionId":14676,"revision":1,"name":"oci_blockstore","description":"You can view oci_blockstire among the monitoring features of Oracle 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oci_computeagent among the monitoring features of Oracle Cloud Infrastructure.\nThe layout is the same as the screen of OCI monitoring.\nIf you switch the region and compartment in the upper left, you can view the metrics of the host you want to know.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Oracle Cloud 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Login to your Octopus Energy Account [https://octopus.energy/dashboard/developer/](https://octopus.energy/dashboard/developer/) and make note of your API Key\r\n2. In your Grafana instance, install the Infinity Datasource Plugin. ([https://grafana.com/grafana/plugins/yesoreyeram-infinity-datasource/](https://grafana.com/grafana/plugins/yesoreyeram-infinity-datasource/))\r\n3. Add a datasource, Infinity. The only settings you need for the Infinity Datasource are Auth Type = \"Basic Authentication\"  and Username = SK_XXXX (your API Key from  [https://octopus.energy/dashboard/developer/](https://octopus.energy/dashboard/developer/) )\r\n\r\n## Import Dashboard\r\n1. Dashboards -> Import \r\n2. Import via grafana.com =** https://grafana.com/grafana/dashboards/16887-octopus-energy/** -> Load\r\n3. Select the Infinity Datasource that your created with your API Key\r\n4. 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official postgres / timescale dashboard for viewing sensor data exported by [OhmGraphite](https://github.com/nickbabcock/OhmGraphite).\r\n\r\nThis dashboard exposes temperature, power draw, utilization, fan rpms, etc on cpu, gpu, disk, ram.\r\n\r\nThis dashboard assumes the schema listed in the README\r\n\r\n```\r\nCREATE TABLE IF NOT EXISTS ohm_stats (\r\n   time TIMESTAMPTZ NOT NULL,\r\n   host TEXT,\r\n   hardware TEXT,\r\n   hardware_type TEXT,\r\n   identifier TEXT,\r\n   sensor TEXT,\r\n   sensor_type TEXT,\r\n   sensor_index INT,\r\n   value REAL\r\n);\r\n```\r\n\r\nSee the [OhmGraphite readme](https://github.com/nickbabcock/OhmGraphite/blob/master/README.md) for more info.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2020-01-21T22:50:13.000Z","updatedAt":"2020-03-27T21:34:45.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11599"},{"rel":"revisions","href":"/dashboards/11599/revisions"},{"rel":"revision","href":"/dashboards/11599/revisions/2"},{"rel":"download","href":"/dashboards/11599/revisions/2/download"},{"rel":"org","href":"/orgs/nickbabcock"},{"rel":"images","href":"/dashboards/11599/images"},{"rel":"thumbnails","href":"/dashboards/11599/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":11591,"status":1,"statusCode":"active","orgId":338810,"orgSlug":"nickbabcock","orgName":"nickbabcock","slug":"ohmgraphite","downloads":747,"revisionId":17045,"revision":3,"name":"OhmGraphite","description":"A Graphite dashboard for viewing sensor data exported by OhmGraphite","readme":"The official graphite dashboard for viewing sensor data exported by [OhmGraphite](https://github.com/nickbabcock/OhmGraphite).\r\n\r\nThis dashboard exposes temperature, power draw, utilization, fan rpms, etc on cpu, gpu, disk, ram.\r\n\r\nThis dashboard requires the use of graphite tags, so make sure the graphite datasource has tags enabled both on the server side and in OhmGraphite. Below is the OhmGraphite config that will send tagged data to graphite\r\n\r\n```\r\n<?xml version=\"1.0\" encoding=\"utf-8\" ?>\r\n<configuration>\r\n  <appSettings>\r\n    <add key=\"host\" value=\"localhost\" />\r\n    <add key=\"port\" value=\"2003\" />\r\n    <add key=\"interval\" value=\"5\" />\r\n    <add key=\"tags\" value=\"true\" />\r\n  </appSettings>\r\n</configuration>\r\n```\r\n\r\nSee the [OhmGraphite readme](https://github.com/nickbabcock/OhmGraphite/blob/master/README.md) for more info.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2020-01-21T12:39:32.000Z","updatedAt":"2020-03-27T21:34:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11591"},{"rel":"revisions","href":"/dashboards/11591/revisions"},{"rel":"revision","href":"/dashboards/11591/revisions/3"},{"rel":"download","href":"/dashboards/11591/revisions/3/download"},{"rel":"org","href":"/orgs/nickbabcock"},{"rel":"images","href":"/dashboards/11591/images"},{"rel":"thumbnails","href":"/dashboards/11591/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":24430,"status":1,"statusCode":"active","orgId":1594052,"orgSlug":"tanvirmahin24","orgName":"tanvirmahin24","slug":"okache-monitor-dashboard","downloads":51,"revisionId":39081,"revision":1,"name":"OKache monitor dashboard","description":"Comprehensive monitoring dashboard for OKache monitors. Features real-time status indicators,\r\n     response time metrics, availability tracking, and historical analysis. 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Inference","description":"Ollama dashboard for the ollama-exporter written in go (https://github.com/maravexa/ollama-exporter)","readme":"# Install the Ollama-exporter\r\n\r\n## From Binary\r\n\r\n```\r\ngo install github.com/maravexa/ollama-exporter/cmd/exporter@latest\r\nollama-exporter --ollama-url http://localhost:11434 --listen :9400\r\n```\r\n\r\n## With Docker\r\n\r\n```\r\ndocker run -d \\\r\n  --add-host=host.docker.internal:host-gateway \\\r\n  -e OLLAMA_URL=http://host.docker.internal:11434 \\\r\n  -p 9400:9400 -p 9401:9401 \\\r\n  ghcr.io/maravexa/ollama-exporter:latest\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-03-30T21:33:27.000Z","updatedAt":"2026-04-03T16:45:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25086"},{"rel":"revisions","href":"/dashboards/25086/revisions"},{"rel":"revision","href":"/dashboards/25086/revisions/1"},{"rel":"download","href":"/dashboards/25086/revisions/1/download"},{"rel":"org","href":"/orgs/maravexa"},{"rel":"images","href":"/dashboards/25086/images"},{"rel":"thumbnails","href":"/dashboards/25086/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16343,"status":1,"statusCode":"active","orgId":380125,"orgSlug":"charliehaley","orgName":"charliehaley","slug":"omada-overview","downloads":2396,"revisionId":24902,"revision":2,"name":"Omada Overview","description":"A Prometheus dashboard for TP-Link Omada network metrics","readme":"Prometheus dashboard for [charlie-haley/omada_exporter](https://github.com/charlie-haley/omada_exporter)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-05-27T18:28:15.000Z","updatedAt":"2022-05-27T18:33:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16343"},{"rel":"revisions","href":"/dashboards/16343/revisions"},{"rel":"revision","href":"/dashboards/16343/revisions/2"},{"rel":"download","href":"/dashboards/16343/revisions/2/download"},{"rel":"org","href":"/orgs/charliehaley"},{"rel":"images","href":"/dashboards/16343/images"},{"rel":"thumbnails","href":"/dashboards/16343/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20854,"status":1,"statusCode":"active","orgId":1054253,"orgSlug":"antonello","orgName":"antonello","slug":"omada-overview","downloads":401,"revisionId":32333,"revision":1,"name":"Omada Overview","description":"A Prometheus 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001","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"APC UPS plugin","datasource":"PostgreSQL","privacy":"public","createdAt":"2025-08-14T09:24:30.000Z","updatedAt":"2025-08-14T09:25:47.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23876"},{"rel":"revisions","href":"/dashboards/23876/revisions"},{"rel":"revision","href":"/dashboards/23876/revisions/1"},{"rel":"download","href":"/dashboards/23876/revisions/1/download"},{"rel":"org","href":"/orgs/hamidmousavi1"},{"rel":"images","href":"/dashboards/23876/images"},{"rel":"thumbnails","href":"/dashboards/23876/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":17159,"status":1,"statusCode":"active","orgId":717167,"orgSlug":"zopendata","orgName":"zopendata","slug":"omegamon-data-provider-stack-monitoring-v1","downloads":323,"revisionId":26374,"revision":1,"name":"OMEGAMON Data Provider Stack Monitoring V1","description":"Dashboard for OMEGAMON Data Broker and Data Connect","readme":"TBD","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-10-12T01:27:50.000Z","updatedAt":"2022-10-12T01:31:14.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17159"},{"rel":"revisions","href":"/dashboards/17159/revisions"},{"rel":"revision","href":"/dashboards/17159/revisions/1"},{"rel":"download","href":"/dashboards/17159/revisions/1/download"},{"rel":"org","href":"/orgs/zopendata"},{"rel":"images","href":"/dashboards/17159/images"},{"rel":"thumbnails","href":"/dashboards/17159/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21708,"status":1,"statusCode":"active","orgId":717167,"orgSlug":"zopendata","orgName":"zopendata","slug":"omegamon-data-provider-stack-monitoring-v2-1-0","downloads":322,"revisionId":33969,"revision":1,"name":"OMEGAMON Data Provider Stack Monitoring V2","description":"Dashboard for OMEGAMON Data Broker and Data Connect","readme":"This sample Grafana dashboard is created to monitor OMEGAMON Data Provider stack. Dashboard is focusing on main metrics that allow to verify that OMEGAMON Data Provider stack is running properly and is in good state.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-08-16T06:21:06.000Z","updatedAt":"2024-08-16T08:37:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21708"},{"rel":"revisions","href":"/dashboards/21708/revisions"},{"rel":"revision","href":"/dashboards/21708/revisions/1"},{"rel":"download","href":"/dashboards/21708/revisions/1/download"},{"rel":"org","href":"/orgs/zopendata"},{"rel":"images","href":"/dashboards/21708/images"},{"rel":"thumbnails","href":"/dashboards/21708/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25166,"status":1,"statusCode":"active","orgId":1136564,"orgSlug":"bearbinary","orgName":"bearbinary","slug":"omni-truenas-provider-cleanup-maintenance","downloads":3,"revisionId":40485,"revision":1,"name":"Omni TrueNAS Provider — Cleanup & Maintenance","description":"Cleanup operations, orphan management, graceful shutdown outcomes, and maintenance health","readme":"shboard for keeping the TrueNAS host tidy. The provider runs periodic reconciliation sweeps that reap stale Talos ISOs, orphan VMs (VMs on TrueNAS with no matching Omni MachineRequest), and orphan zvols (zvols with no owning VM). Use this dashboard to confirm those sweeps are running, to watch trends (a rising orphan rate means something upstream is leaking), and to measure how often VM shutdowns hit the graceful ACPI path vs. the force-stop fallback — a key indicator of `qemu-guest-agent` health inside Talos VMs.\r\n\r\n**Panels:**\r\n\r\n- **Cleanup Totals row** — Cumulative counters for stale ISOs removed, orphan VMs removed, orphan zvols removed, deprovisioned VMs.\r\n- **Cleanup Rates row** — Cleanup operations (ISO / orphan VM / orphan zvol) over time, deprovision rate.\r\n- **Graceful Shutdown row** — Graceful vs. forced pie chart, rate over time, graceful-shutdown-rate gauge (% of shutdowns that completed gracefully).\r\n- **Traces & Logs row** — Recent cleanup and deprovision traces (Tempo), cleanup/orphan/deprovision/shutdown log stream (Loki).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus, Tempo, Loki","privacy":"public","createdAt":"2026-04-14T10:00:09.000Z","updatedAt":"2026-04-16T20:24:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25166"},{"rel":"revisions","href":"/dashboards/25166/revisions"},{"rel":"revision","href":"/dashboards/25166/revisions/1"},{"rel":"download","href":"/dashboards/25166/revisions/1/download"},{"rel":"org","href":"/orgs/bearbinary"},{"rel":"images","href":"/dashboards/25166/images"},{"rel":"thumbnails","href":"/dashboards/25166/thumbnails"}],"datasourceSlugs":["loki","prometheus","tempo"]},{"id":25161,"status":1,"statusCode":"active","orgId":1136564,"orgSlug":"bearbinary","orgName":"bearbinary","slug":"omni-truenas-provider-overview","downloads":5,"revisionId":40480,"revision":1,"name":"Omni TrueNAS Provider — Overview","description":"High-level health and status of the TrueNAS Omni infrastructure provider","readme":"A single-pane-of-glass dashboard for operators running the `omni-infra-provider-truenas` service. Shows whether the provider is healthy, whether the TrueNAS host it manages has capacity, and what the VM fleet is doing right now. Use this as the home dashboard for your Omni provider deployment — drill into **Provisioning**, **TrueNAS API Performance**, or **Cleanup & Maintenance** for detail.\r\n\r\n**Panels:**\r\n\r\n- **Provider Status row** — Running VMs, total VMs provisioned, VM errors, health-check errors, singleton lease held, host CPU cores, host memory, total disks, provider version stat.\r\n- **Pool Health row** — ZFS pool healthy indicator, pool usage %, pool free space over time.\r\n- **VM Activity row** — Provision / deprovision / error rate, running VMs over time.\r\n- **Logs & Profiles row** — Recent provider logs (Loki) and CPU flamegraph (Pyroscope).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus, Loki, Grafana Pyroscope","privacy":"public","createdAt":"2026-04-14T00:27:39.000Z","updatedAt":"2026-04-16T20:25:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25161"},{"rel":"revisions","href":"/dashboards/25161/revisions"},{"rel":"revision","href":"/dashboards/25161/revisions/1"},{"rel":"download","href":"/dashboards/25161/revisions/1/download"},{"rel":"org","href":"/orgs/bearbinary"},{"rel":"images","href":"/dashboards/25161/images"},{"rel":"thumbnails","href":"/dashboards/25161/thumbnails"}],"datasourceSlugs":["grafana-pyroscope-datasource","loki","prometheus"]},{"id":25164,"status":1,"statusCode":"active","orgId":1136564,"orgSlug":"bearbinary","orgName":"bearbinary","slug":"omni-truenas-provider-truenas-api-performance","downloads":5,"revisionId":40483,"revision":1,"name":"Omni TrueNAS Provider — TrueNAS API Performance","description":"TrueNAS JSON-RPC API call performance, rate limiting, WebSocket health","readme":"Observability for the WebSocket JSON-RPC 2.0 client the provider uses to drive TrueNAS SCALE (25.04+ Fangtooth). 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Traces and Loki logs are wired up for deep-dive on individual slow calls.\r\n\r\n**Panels:**\r\n\r\n- **API Latency row** — Aggregate p50 / p95 / p99 call duration, call rate, WebSocket reconnects, health-check errors, rate-limit queue size.\r\n- **Per-Method Breakdown row** — p95 by method, call rate by method, top-10 slowest methods by average duration (last 5 min).\r\n- **Connection Health row** — Rate-limit queue depth over time, WebSocket reconnect rate.\r\n- **Traces & Logs row** — Slowest API traces (> 1 s, Tempo) and API error logs (Loki).\r\n- **Profiling row** — Goroutine and mutex-contention flamegraphs (Pyroscope).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus, Tempo, Loki, Grafana Pyroscope","privacy":"public","createdAt":"2026-04-14T09:52:34.000Z","updatedAt":"2026-04-16T20:25:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25164"},{"rel":"revisions","href":"/dashboards/25164/revisions"},{"rel":"revision","href":"/dashboards/25164/revisions/1"},{"rel":"download","href":"/dashboards/25164/revisions/1/download"},{"rel":"org","href":"/orgs/bearbinary"},{"rel":"images","href":"/dashboards/25164/images"},{"rel":"thumbnails","href":"/dashboards/25164/thumbnails"}],"datasourceSlugs":["grafana-pyroscope-datasource","loki","prometheus","tempo"]},{"id":25165,"status":1,"statusCode":"active","orgId":1136564,"orgSlug":"bearbinary","orgName":"bearbinary","slug":"omni-truenas-provider-vm-provisioning","downloads":3,"revisionId":40484,"revision":1,"name":"Omni TrueNAS Provider — VM Provisioning","description":"VM provisioning and deprovisioning performance, step-level breakdown, ISO management","readme":"Deep-dive dashboard for operators debugging slow or failing VM creation. Splits end-to-end provision and deprovision latency into the four provider steps (`createSchematic`, `uploadISO`, `createVM`, `healthCheck`) so you can pinpoint which step regressed. Surfaces error category distribution, ISO cache hit rate, singleton lease takeovers, and zvol resize activity. Linked traces and flamegraphs let you follow a slow provision from metric → span → flame profile.\r\n\r\n**Panels:**\r\n\r\n- **Provision Duration row** — Provision and deprovision p50 / p95 / p99 latency.\r\n- **Step Breakdown row** — Per-step p95 latency for each of the four provision steps and both deprovision steps.\r\n- **Error Breakdown row** — Provision errors by category (rate + distribution), zvol resizes, VMs auto-replaced, VM error rate.\r\n- **Singleton & Disks row** — Singleton lease refresh errors and takeovers, count of additional data disks.\r\n- **ISO Management row** — ISO cache hit-rate gauge, hits vs misses over time, ISO download p95, ISO upload bytes/s.\r\n- **Traces & Logs row** — Recent provision traces (Tempo) and error/warn logs (Loki).\r\n- **Profiling row** — CPU and allocation flamegraphs scoped to provision hot paths (Pyroscope).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus, Tempo, Loki, Grafana Pyroscope","privacy":"public","createdAt":"2026-04-14T09:59:10.000Z","updatedAt":"2026-04-16T20:25:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25165"},{"rel":"revisions","href":"/dashboards/25165/revisions"},{"rel":"revision","href":"/dashboards/25165/revisions/1"},{"rel":"download","href":"/dashboards/25165/revisions/1/download"},{"rel":"org","href":"/orgs/bearbinary"},{"rel":"images","href":"/dashboards/25165/images"},{"rel":"thumbnails","href":"/dashboards/25165/thumbnails"}],"datasourceSlugs":["grafana-pyroscope-datasource","loki","prometheus","tempo"]},{"id":8118,"status":1,"statusCode":"active","orgId":193980,"orgSlug":"maynk","orgName":"Mayank Agarwal","slug":"omnition-collector","downloads":383,"revisionId":11544,"revision":5,"name":"Omnition Collector","description":"Dashboard to monitor the Omnition Collector","readme":"This is a shared dashboard to help getting started monitoring the Omnition Collector component.\r\n\r\nThe Omnition Collector is a component that receives spans from an upstream tracing component (e.g. Jaeger Agent or OpenCensus Agent) and relays those spans to downstream tracing component(s) (e.g. Jaeger collector or the Omnition Collector itself). The collector supports receiving and exporting spans in a number of protocols (e.g. Jaeger and Zipkin), multi-destination support, and per-destination in-memory buffering with retry. This component enables ingestion pipeline configurations for several use-cases. Please refer to provided documentation for more details.\r\n\r\nThis dashboard assumes prometheus data source. It was tested in a kubernetes environment, although non-k8s environments should also work (minor tweaks might be needed).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-09-27T07:11:57.000Z","updatedAt":"2018-10-16T17:21:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8118"},{"rel":"revisions","href":"/dashboards/8118/revisions"},{"rel":"revision","href":"/dashboards/8118/revisions/5"},{"rel":"download","href":"/dashboards/8118/revisions/5/download"},{"rel":"org","href":"/orgs/maynk"},{"rel":"images","href":"/dashboards/8118/images"},{"rel":"thumbnails","href":"/dashboards/8118/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17637,"status":1,"statusCode":"active","orgId":256468,"orgSlug":"ferran","orgName":"ferran","slug":"ondat","downloads":261,"revisionId":27096,"revision":1,"name":"Ondat","description":"Ondat metrics dashboard","readme":"The Ondat dashboard uses the Ondat metrics scraped by Prometheus that allows the observability of Ondat volumes regarding throughput, latency, queue depth, FileSystem usage/free, etc. \r\n\r\nThe dashboard uses minimally the kube-state-metrics. ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-12-16T09:38:31.000Z","updatedAt":"2022-12-16T09:49:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17637"},{"rel":"revisions","href":"/dashboards/17637/revisions"},{"rel":"revision","href":"/dashboards/17637/revisions/1"},{"rel":"download","href":"/dashboards/17637/revisions/1/download"},{"rel":"org","href":"/orgs/ferran"},{"rel":"images","href":"/dashboards/17637/images"},{"rel":"thumbnails","href":"/dashboards/17637/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13465,"status":1,"statusCode":"active","orgId":372611,"orgSlug":"treydock","orgName":"treydock","slug":"ondemand","downloads":9099,"revisionId":37129,"revision":2,"name":"OnDemand","description":"","readme":"This dashboard is designed to work with the [ondemand_exporter](https://github.com/OSC/ondemand_exporter)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-25T21:39:14.000Z","updatedAt":"2025-05-07T18:17:16.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13465"},{"rel":"revisions","href":"/dashboards/13465/revisions"},{"rel":"revision","href":"/dashboards/13465/revisions/2"},{"rel":"download","href":"/dashboards/13465/revisions/2/download"},{"rel":"org","href":"/orgs/treydock"},{"rel":"images","href":"/dashboards/13465/images"},{"rel":"thumbnails","href":"/dashboards/13465/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12093,"status":1,"statusCode":"active","orgId":372611,"orgSlug":"treydock","orgName":"treydock","slug":"ondemand-clusters","downloads":1072,"revisionId":39972,"revision":3,"name":"OnDemand Clusters","description":"OnDemand Clusters dashboard that can be used to integrate an OnDemand cluster's Job Viewer with Grafana.","readme":"This dashboard pulls data provided by several Prometheus exporters:\r\n\r\n* [SLURM exporter](https://github.com/treydock/prometheus-slurm-exporter)\r\n* [node_exporter](https://github.com/prometheus/node_exporter)\r\n* [cgroup_exporter](https://github.com/treydock/cgroup_exporter)\r\n* [gpfs_exporter](https://github.com/treydock/gpfs_exporter)\r\n* [DCGM exporter](https://github.com/NVIDIA/gpu-monitoring-tools)\r\n\r\nThe `slurm_job_gpu_info` metric for per-job GPU metrics comes from a Prolog/Epilog metric setup in Slurm to help link a specific GPU to a given job.\r\n\r\nThe following gist shows the prolog and epilog used: https://gist.github.com/treydock/d0f24c50c0c3029c958f5dc507710ede\r\n\r\nAll metrics expect to have a `host` label.  This is an example of a relabel configuration in Prometheus to assign all instances the host label:\r\n\r\n```\r\n    relabel_configs:\r\n      - source_labels: '[__address__]'\r\n        regex: '([^.]+)..*'\r\n        replacement: '$1'\r\n        target_label: host\r\n```\r\n\r\nRecord rules used for CPU and network panels:\r\n\r\n```\r\ngroups:\r\n- name: node\r\n  rules:\r\n  - record: node:cpus:count\r\n    expr: count by(host,cluster,role) (node_cpu_info)\r\n  - record: node:cpu_load_user:avg5m\r\n    expr: avg by (host,cluster,role)(irate(node_cpu_seconds_total{mode=\"user\"}[5m]))\r\n  - record: node:cpu_load_system:avg5m\r\n    expr: avg by (host,cluster,role)(irate(node_cpu_seconds_total{mode=\"system\"}[5m]))\r\n  - record: node:cpu_load_iowait:avg5m\r\n    expr: avg by (host,cluster,role)(irate(node_cpu_seconds_total{mode=\"iowait\"}[5m]))\r\n  - record: node:cpu_load_total:avg5m\r\n    expr: 1 - avg by (host,cluster,role)(irate(node_cpu_seconds_total{mode=\"idle\"}[5m]))\r\n  - record: node:network_received_rate_bytes\r\n    expr: irate(node_network_receive_bytes_total[5m])\r\n  - record: node:network_transmit_rate_bytes\r\n    expr: irate(node_network_transmit_bytes_total[5m])\r\n```\r\n\r\nRecord rules for cgroup related panels:\r\n\r\n```\r\ngroups:\r\n- name: cgroup\r\n  rules:\r\n  - record: cgroup:cpu_user_seconds:irate5m\r\n    expr: (irate(cgroup_cpu_user_seconds[5m]) / cgroup_cpus) * on(cgroup, host) group_left(jobid,uid,username) cgroup_info\r\n  - record: cgroup:cpu_system_seconds:irate5m\r\n    expr: (irate(cgroup_cpu_system_seconds[5m]) / cgroup_cpus) * on(cgroup, host) group_left(jobid,uid,username) cgroup_info\r\n  - record: cgroup:cpu_total_seconds:irate5m\r\n    expr: (irate(cgroup_cpu_total_seconds[5m]) / cgroup_cpus) * on(cgroup, host) group_left(jobid,uid,username) cgroup_info\r\n  - record: cgroup:memory_used_bytes\r\n    expr: cgroup_memory_used_bytes * on(cgroup, host) group_left(jobid,uid,username) cgroup_info\r\n  - record: cgroup:memory_total_bytes\r\n    expr: cgroup_memory_total_bytes * on(cgroup, host) group_left(jobid,uid,username) cgroup_info\r\n  - record: cgroup:memory_rss_bytes\r\n    expr: cgroup_memory_rss_bytes * on(cgroup, host) group_left(jobid,uid,username) cgroup_info\r\n  - record: cgroup:memory_cache_bytes\r\n    expr: cgroup_memory_cache_bytes * on(cgroup, host) group_left(jobid,uid,username) cgroup_info\r\n  - record: cgroup:swap_used_bytes\r\n    expr: (cgroup_memsw_used_bytes - cgroup_memory_used_bytes) * on(cgroup, host) group_left(jobid,uid,username) cgroup_info\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-18T15:22:35.000Z","updatedAt":"2026-02-18T17:00:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/12093"},{"rel":"revisions","href":"/dashboards/12093/revisions"},{"rel":"revision","href":"/dashboards/12093/revisions/3"},{"rel":"download","href":"/dashboards/12093/revisions/3/download"},{"rel":"org","href":"/orgs/treydock"},{"rel":"images","href":"/dashboards/12093/images"},{"rel":"thumbnails","href":"/dashboards/12093/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22012,"status":1,"statusCode":"active","orgId":1237626,"orgSlug":"martialbe","orgName":"martialbe","slug":"one-hub","downloads":271,"revisionId":34484,"revision":1,"name":"One-Hub 分析","description":"用于分析One Hub 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https://grafana.com/grafana/dashboards/14828","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-02-15T17:27:08.000Z","updatedAt":"2022-02-15T17:41:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15763"},{"rel":"revisions","href":"/dashboards/15763/revisions"},{"rel":"revision","href":"/dashboards/15763/revisions/1"},{"rel":"download","href":"/dashboards/15763/revisions/1/download"},{"rel":"org","href":"/orgs/redno2"},{"rel":"images","href":"/dashboards/15763/images"},{"rel":"thumbnails","href":"/dashboards/15763/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21875,"status":1,"statusCode":"active","orgId":1218995,"orgSlug":"raylin9981","orgName":"raylin9981","slug":"opa-gatekeeper","downloads":899,"revisionId":34227,"revision":1,"name":"OPA Gatekeeper","description":"Visualize violations from OPA Gatekeeper and OPA 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Contributions welcome!","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-04T12:29:22.000Z","updatedAt":"2021-08-04T12:37:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14828"},{"rel":"revisions","href":"/dashboards/14828/revisions"},{"rel":"revision","href":"/dashboards/14828/revisions/1"},{"rel":"download","href":"/dashboards/14828/revisions/1/download"},{"rel":"org","href":"/orgs/knappek"},{"rel":"images","href":"/dashboards/14828/images"},{"rel":"thumbnails","href":"/dashboards/14828/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12947,"status":1,"statusCode":"active","orgId":393097,"orgSlug":"shubhamc183","orgName":"shubhamc183","slug":"open-alerts-of-alertmanager","downloads":24257,"revisionId":18734,"revision":1,"name":"OPEN ALERTS OF ALERTMANAGER","description":"Dashboard to visualize only Open(LIVE) Alerts of AlertManager instead of looking in Slack, Teams, and Emails.","readme":"A Dashboard to visualize only Open(LIVE) Alerts of AlertManager instead of looking in Slack, Teams, and Emails.\n\nThanks to [camptocamp](https://github.com/camptocamp) organization for [grafana-prometheus-alertmanager-datasource](https://github.com/camptocamp/grafana-prometheus-alertmanager-datasource) making Alertmanager behave like a datasource for Grafana.\n\nThis dashboard gives a holistic view of alerts in an organization that can be used by the Monitoring team. Also, provides drill down to one team's environment which can be used by the on-call person of that team.\n\nThe dashboard provides filtering on the basis of\n- `region`\n- `severity`\n- `alert`\n- `team`\n- `environment`\n\n**NOTE**: Please feel free to modify these filter labels as these are very specific to my use case or remove from the query.\n\n[github/shubhamc183](https://github.com/shubhamc183/grafana-dashboards#open-alerts-of-alertmanager)\n\nEmail: [shubhamc183@gmail.com](mailto:shubhamc183@gmail.com)","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"cpu, diskstats, meminfo","datasource":null,"privacy":"public","createdAt":"2020-09-05T09:26:19.000Z","updatedAt":"2020-09-05T10:01:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/12947"},{"rel":"revisions","href":"/dashboards/12947/revisions"},{"rel":"revision","href":"/dashboards/12947/revisions/1"},{"rel":"download","href":"/dashboards/12947/revisions/1/download"},{"rel":"org","href":"/orgs/shubhamc183"},{"rel":"images","href":"/dashboards/12947/images"},{"rel":"thumbnails","href":"/dashboards/12947/thumbnails"}]},{"id":12875,"status":1,"statusCode":"active","orgId":393097,"orgSlug":"shubhamc183","orgName":"shubhamc183","slug":"open-distro-alerts-history","downloads":390,"revisionId":18598,"revision":1,"name":"OPEN DISTRO ALERTS HISTORY","description":"A dashboard to view the history of all alerts sent by opendistro-alerting on the basis of Monitor, Trigger, and Severity.","readme":"For every alert sent by the [Opendistro alerting](https://opendistro.github.io/for-elasticsearch/features/alerting.html\n) the document is saved in an [inbuilt index](https://opendistro.github.io/for-elasticsearch-docs/docs/alerting/settings/#alerting-indices).\n\n- `Datasource: ElasticSearch`\n- `Index name: .opendistro-alerting-alert-history-*`\n- `Pattern: No pattern`\n- `Time field name: start_time`\n- `Version: 7.0+`\n\n[github/shubhamc183](https://github.com/shubhamc183/grafana-dashboards)\n\nEmail: [shubhamc183@gmail.com](mailto:shubhamc183@gmail.com)","collectorType":"Beats","collectorConfig":null,"collectorPluginList":"Filebeat","datasource":null,"privacy":"public","createdAt":"2020-08-21T13:27:23.000Z","updatedAt":"2020-08-21T13:58:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12875"},{"rel":"revisions","href":"/dashboards/12875/revisions"},{"rel":"revision","href":"/dashboards/12875/revisions/1"},{"rel":"download","href":"/dashboards/12875/revisions/1/download"},{"rel":"org","href":"/orgs/shubhamc183"},{"rel":"images","href":"/dashboards/12875/images"},{"rel":"thumbnails","href":"/dashboards/12875/thumbnails"}]},{"id":11706,"status":1,"statusCode":"active","orgId":345879,"orgSlug":"openlibertyproject","orgName":"openlibertyproject","slug":"open-liberty","downloads":3164,"revisionId":28046,"revision":6,"name":"Open Liberty - mpMetrics-2.x-4.x","description":"Created by the Open Liberty observability team","readme":"This dashboard visualizes CPU, Heap, REST, Servlet, Connection Pool, Sessions, Threadpool, GC, and other JVM metrics.\r\n\r\n*** New in revision 5 -- we've added visualizations to show the current count of slow and hung requests generated by the requestTiming-1.0 feature.\r\n\r\nTested with Grafana 5.2.x, 6.0.x, 7.3.x. 8.0.x, 8.5.x\r\n\r\nThis dashboard works with Open Liberty servers running with `mpMetrics-2.x`, `mpMetrics-3.x` and `mpMetrics-4.x` features. For `mpMetrics-5.0`, use the [Open Liberty - mpMetrics-5.0](https://grafana.com/grafana/dashboards/18599) dashboard\r\n\r\n\r\nView our Open Liberty MicroProfile 3.3 blog post for detailed [setup instructions](https://openliberty.io/blog/2020/04/09/microprofile-3-3-open-liberty-20004.html#gra).\r\n### Open Liberty\r\n- Enable the **/metrics** endpoint by enabling the desired **`mpMetrics`** feature (e.g. `mpMetrics-4.0`) in the `server.xml`.\r\n- For **`mpMetrics-2.2` and below**,  you must also include the **`monitor-1.0`** feature (which is automatically included when using **`mpMetrics-2.3` and above**)\r\n- Learn about [Monitoring with MicroProfile metrics](https://openliberty.io/docs/21.0.0.3/introduction-monitoring-metrics.html)\r\n- Check out our Open Liberty Guide on [Providing metrics from a Microservice](https://openliberty.io/guides/microprofile-metrics.html)\r\n\r\n### Prometheus\r\nConfigure the `scrape_configs` section of *prometheus.yml* in one of the following ways.\r\n\r\nFor metrics on an **insecure** endpoint:\r\n```\r\n  - job_name: 'liberty'\r\n    scrape_interval: 5s\r\n    static_configs:\r\n      - targets: ['localhost:9080']\r\n```\r\nFor metrics on an **secure** endpoint using **Basic Authentication**:\r\n```\r\n  - job_name: 'liberty-secure'\r\n    scrape_interval: 5s\r\n    static_configs:\r\n      - targets: ['localhost:9443']\r\n    basic_auth:\r\n      username: \"<your-username>\"\r\n      password: \"<your-password>\"\r\n    tls_config:\r\n      insecure_skip_verify: true\r\n    scheme: \"https\"\r\n```\r\n\r\n### \r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-02-07T18:43:25.000Z","updatedAt":"2023-04-24T21:13:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":3.67,"links":[{"rel":"self","href":"/dashboards/11706"},{"rel":"revisions","href":"/dashboards/11706/revisions"},{"rel":"revision","href":"/dashboards/11706/revisions/6"},{"rel":"download","href":"/dashboards/11706/revisions/6/download"},{"rel":"org","href":"/orgs/openlibertyproject"},{"rel":"images","href":"/dashboards/11706/images"},{"rel":"thumbnails","href":"/dashboards/11706/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18599,"status":1,"statusCode":"active","orgId":345879,"orgSlug":"openlibertyproject","orgName":"openlibertyproject","slug":"open-liberty","downloads":453,"revisionId":28514,"revision":1,"name":"Open Liberty - mpMetrics-5.0","description":"Created by the Open Liberty observability team","readme":"This dashboard visualizes CPU, Heap, REST, Servlet, Connection Pool, Sessions, Threadpool, GC, and other JVM metrics.\r\n\r\nThis dashboard works with Open Liberty servers running with `mpMetrics-5.x` feature. For prior mpMetrics versions, use the [Open Liberty - mpMetrics-2.x-4.x](https://grafana.com/grafana/dashboards/11706) dashboard\r\n\r\n\r\nView our Open Liberty MicroProfile 3.3 blog post for detailed [setup instructions](https://openliberty.io/blog/2020/04/09/microprofile-3-3-open-liberty-20004.html#gra).\r\n### Open Liberty\r\n- Enable the **/metrics** endpoint by enabling the desired **`mpMetrics`** feature (e.g. `mpMetrics-5.0`) in the `server.xml`.\r\n- Learn about [Monitoring with MicroProfile metrics](https://openliberty.io/docs/latest/introduction-monitoring-metrics.html)\r\n- Check out our Open Liberty Guide on [Providing metrics from a Microservice](https://openliberty.io/guides/microprofile-metrics.html)\r\n\r\n### Prometheus\r\nConfigure the `scrape_configs` section of *prometheus.yml* in one of the following ways.\r\n\r\nFor metrics on an **insecure** endpoint:\r\n```\r\n  - job_name: 'liberty'\r\n    scrape_interval: 5s\r\n    static_configs:\r\n      - targets: ['localhost:9080']\r\n```\r\nFor metrics on an **secure** endpoint using **Basic Authentication**:\r\n```\r\n  - job_name: 'liberty-secure'\r\n    scrape_interval: 5s\r\n    static_configs:\r\n      - targets: ['localhost:9443']\r\n    basic_auth:\r\n      username: \"<your-username>\"\r\n      password: \"<your-password>\"\r\n    tls_config:\r\n      insecure_skip_verify: true\r\n    scheme: \"https\"\r\n```\r\n\r\n### \r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-24T20:39:35.000Z","updatedAt":"2023-04-27T20:58:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18599"},{"rel":"revisions","href":"/dashboards/18599/revisions"},{"rel":"revision","href":"/dashboards/18599/revisions/1"},{"rel":"download","href":"/dashboards/18599/revisions/1/download"},{"rel":"org","href":"/orgs/openlibertyproject"},{"rel":"images","href":"/dashboards/18599/images"},{"rel":"thumbnails","href":"/dashboards/18599/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14193,"status":1,"statusCode":"active","orgId":345879,"orgSlug":"openlibertyproject","orgName":"openlibertyproject","slug":"open-liberty-mpfaulttolerance-3-x","downloads":345,"revisionId":20860,"revision":1,"name":"Open Liberty (mpFaultTolerance-3.x)","description":"Displays metrics collected by methods annotated with MicroProfile Fault Tolerance annotations","readme":"This dashboard visualizes in depth metrics for each of the different [MicroProfile Fault Tolerance 3.0](https://github.com/eclipse/microprofile-fault-tolerance/tree/3.0) annotations: Fallback, Retry, Timeout, Bulkhead, CircuitBreaker\n\nThe dashboard has been tested on Open Liberty running with the [mpFaultTolerance-3.0](https://openliberty.io/docs/21.0.0.3/reference/feature/mpFaultTolerance-3.0.html) and [mpMetrics-3.0](https://openliberty.io/docs/21.0.0.3/reference/feature/mpMetrics-3.0.html) features, but should work with any server which supports both MicroProfile Fault Tolerance 3.0 and [MicroProfile Metrics 3.0](https://github.com/eclipse/microprofile-metrics/tree/3.0) (which are both part of [MicroProfile 4.0](https://download.eclipse.org/microprofile/microprofile-4.0.1/microprofile-spec-4.0.1.html#microprofile4.0)).\n\n**How to use:**\nFor instructions on how to set up OpenLiberty with a Grafana dashboard [see this blog post](https://openliberty.io/blog/2020/04/09/microprofile-3-3-open-liberty-20004.html#gra). The instructions are for MicroProfile 3.3 so be sure to use the mpMetrics-3.0 and mpFaultTolerance-3.0 features instead of mpMetrics-2.3 and install this dashboard rather than the one linked from the blog post.\n\n**Useful links:**\n- [Monitoring with MicroProfile metrics](https://openliberty.io/docs/latest/introduction-monitoring-metrics.html)\n- [Providing metrics from a Microservice](https://openliberty.io/guides/microprofile-metrics.html)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-04-06T22:34:32.000Z","updatedAt":"2021-04-07T13:05:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14193"},{"rel":"revisions","href":"/dashboards/14193/revisions"},{"rel":"revision","href":"/dashboards/14193/revisions/1"},{"rel":"download","href":"/dashboards/14193/revisions/1/download"},{"rel":"org","href":"/orgs/openlibertyproject"},{"rel":"images","href":"/dashboards/14193/images"},{"rel":"thumbnails","href":"/dashboards/14193/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25229,"status":1,"statusCode":"active","orgId":1746373,"orgSlug":"openoutbox","orgName":"open-outbox","slug":"open-outbox-dashboard-2","downloads":5,"revisionId":40689,"revision":2,"name":"Open Outbox Dashboard 2","description":"","readme":"# Open Outbox Relay Dashboard\n\nThis dashboard provides a real-time view of the [**Open Outbox Relay**](https://open-outbox.dev/) lifecycle. It is designed to help engineers move beyond simple \"up/down\" checks and instead focus on system efficiency, ingestion health, and strict **Service Level Objective (SLO)** tracking.\n\n## Dashboard Structure\n\nThe dashboard is organized into logical categories to help you quickly isolate whether a bottleneck resides in the **Database (Storage)**, the **Relay Logic**, or the **External Publisher**.\n\n### Relay Operational State\n*   **System Health:** A high-level overview of the relay's current status, including active uptime and heartbeat monitoring to ensure the relay process is functioning correctly.\n\n###  Performance and Throughput\n*   **Sustained Throughput (EPS):** Real-time measurement of events processed per second.\n*   **Drain Efficiency (Time to Empty):** A predictive metric showing how long it will take to clear the current backlog at the current processing rate.\n*   **Backlog Saturation (New vs. Retrying):** Displays the raw volume of fresh events alongside those stuck in retry loops. A climbing \"Retrying\" count is the primary indicator of \"poison pill\" messages.\n*   **Data Freshness:** Tracks the **Age of the Oldest Event** currently in the outbox to ensure no specific records are being \"starved\" or stuck.\n*   **Delivery SLO Compliance (&lt;(SLO variable)):** Real-time tracking of the percentage of events delivered within the one-second target.\n\n### Resource Optimization &amp; Tuning\n*   **Batch Filling Efficiency:** Measures how well the relay utilizes its maximum configured batch size versus the frequency of polling.\n*   **Batch Size Distribution:** A histogram showing the actual size of batches sent, used to tune throughput versus database load.\n\n### Latencies\n*   **P99 End-to-End Latency:** The upper bound of time (99th percentile) from the initial database insertion to successful delivery.\n*   **E2E Latency Distribution:** A heatmap visualizing the spread of delivery times to identify timing outliers.\n*   **Publisher Performance &amp; Latency Distribution:** Dedicated tracking of the downstream system's responsiveness (e.g., Kafka, NATS) to isolate external delays.\n*   **Storage Latency:** Time taken to read from the outbox table—essential for identifying database contention or indexing issues.\n\n### Reliability &amp; Health\n*   **Delivery Error Rate:** The percentage of total delivery attempts that resulted in an error (e.g., network timeouts or publisher rejection) relative to overall traffic.\n*   **Failed Delivery Volume:** The real-time rate of failed delivery attempts. \n\n**Note:** This tracks all delivery failures including those that will be subsequently retried, providing a \"noise level\" for system stability.\n\n---\n\n## Variables &amp; Filtering\n\nTo get the most out of this dashboard, use the following filters at the top of the page:\n*   **`Datasource`**: Select the Prometheus or compatible data source containing the Relay metrics.\n*   **`Batch Size`**: Dynamically adjust or filter the view based on the relay's configured batching capacity.\n*   **`SLO Target`**: Set the threshold for delivery time (e.g., 1s) to visualize compliance across all latency graphs.\n\n---\n\n### Support\nFor technical details regarding the **Open Outbox Relay** implementation or to suggest dashboard improvements, please refer to the project repository at https://github.com/open-outbox/relay","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2026-04-28T10:00:49.000Z","updatedAt":"2026-05-08T12:12:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25229"},{"rel":"revisions","href":"/dashboards/25229/revisions"},{"rel":"revision","href":"/dashboards/25229/revisions/2"},{"rel":"download","href":"/dashboards/25229/revisions/2/download"},{"rel":"org","href":"/orgs/openoutbox"},{"rel":"images","href":"/dashboards/25229/images"},{"rel":"thumbnails","href":"/dashboards/25229/thumbnails"}]},{"id":13965,"status":1,"statusCode":"active","orgId":143189,"orgSlug":"luongvo","orgName":"Luong Vo","slug":"metrics","downloads":712,"revisionId":20458,"revision":1,"name":"Open Policy Agent Metrics","description":"Open Policy Agents Runtime metrics","readme":"# Open Policy Agent Grafana dashboard\r\n\r\n![](images/dashboard-image-1.png)\r\n\r\nThis folder hosts an example on the Grafana dashboard for Open Policy Agent.\r\n\r\nIt visualizes most of the metrics recorded by Open Policy Agent as documented in \r\nhttps://www.openpolicyagent.org/docs/latest/monitoring/\r\n\r\nThe version of OPA that this is made for is 0.27 or above.\r\n\r\n**Notes:** Before you use this dashboard, please mind the variables and the prometheus labels.\r\nThese variables and labels may not be applicable in your case so use other names than those provided in this example.\r\nFor example: the staging/production datasource, the namespace of the system, etc.\r\n\r\nThis dashboard is published on Grafana at https://grafana.com/grafana/dashboards/13965. \r\nContribute to this dashboard by submitting your PR to https://github.com/open-policy-agent/contrib","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-02-25T04:17:31.000Z","updatedAt":"2021-03-10T04:43:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13965"},{"rel":"revisions","href":"/dashboards/13965/revisions"},{"rel":"revision","href":"/dashboards/13965/revisions/1"},{"rel":"download","href":"/dashboards/13965/revisions/1/download"},{"rel":"org","href":"/orgs/luongvo"},{"rel":"images","href":"/dashboards/13965/images"},{"rel":"thumbnails","href":"/dashboards/13965/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":932,"status":1,"statusCode":"active","orgId":36263,"orgSlug":"sergeygalkin","orgName":"sergeygalkin","slug":"open-stack","downloads":911,"revisionId":1370,"revision":2,"name":"Open Stack","description":"","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-11-22T15:20:43.000Z","updatedAt":"2016-11-23T10:56:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/932"},{"rel":"revisions","href":"/dashboards/932/revisions"},{"rel":"revision","href":"/dashboards/932/revisions/2"},{"rel":"download","href":"/dashboards/932/revisions/2/download"},{"rel":"org","href":"/orgs/sergeygalkin"},{"rel":"images","href":"/dashboards/932/images"},{"rel":"thumbnails","href":"/dashboards/932/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15418,"status":1,"statusCode":"active","orgId":578747,"orgSlug":"openswoole","orgName":"openswoole","slug":"openswoole-dashboard","downloads":518,"revisionId":23240,"revision":1,"name":"Open Swoole Dashboard","description":"Open Swoole Dashboard ","readme":"Open Swoole Dashboard provide the metrics of Open Swoole server since v4.9.0","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-12-18T23:02:25.000Z","updatedAt":"2021-12-19T15:52:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15418"},{"rel":"revisions","href":"/dashboards/15418/revisions"},{"rel":"revision","href":"/dashboards/15418/revisions/1"},{"rel":"download","href":"/dashboards/15418/revisions/1/download"},{"rel":"org","href":"/orgs/openswoole"},{"rel":"images","href":"/dashboards/15418/images"},{"rel":"thumbnails","href":"/dashboards/15418/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9710,"status":1,"statusCode":"active","orgId":231237,"orgSlug":"xander1402","orgName":"xander1402","slug":"open-weather-map","downloads":5281,"revisionId":13583,"revision":2,"name":"Open Weather Map","description":"Access current weather data for any location on Earth including over 200,000 cities!","readme":"# How to start in 3 simple steps:\n## 1. [Sign up](https://home.openweathermap.org/users/sign_up) and get an API key (APPID) on your account page.\nIt takes up to 1 hour to activate your API key. We send you a confirmation email as your API key is ready to work.\n## 2. Start using API for free.\nFind the complete description of API calls with a list of parameters and examples of responses in [API documentation](https://openweathermap.org/api).\n\nPlease, use API key in each API call.\n## 3. If you need more features than Free account can give you, look at the options of our monthly subscriptions [here](https://openweathermap.org/price).\nChoose your subscription depending on a number of calls per sec, API availability, service provided, and other features.\n\nFor more information, visit [Current weather data API doc](https://openweathermap.org/current)","collectorType":"Telegraf","collectorConfig":"[[inputs.http]]\n  \n  urls = [\n    \"https://api.openweathermap.org/data/2.5/weather?id=2643743&units=metric&appid=b6907d289e10d714a6e88b30761fae22\",\n    \"https://api.openweathermap.org/data/2.5/weather?id=5128638&units=metric&appid=b6907d289e10d714a6e88b30761fae22\",\n    \"https://api.openweathermap.org/data/2.5/weather?id=524901&units=metric&appid=b6907d289e10d714a6e88b30761fae22\",\n    \"https://api.openweathermap.org/data/2.5/weather?id=625144&units=metric&appid=b6907d289e10d714a6e88b30761fae22\",\n    \"https://api.openweathermap.org/data/2.5/weather?id=703448&units=metric&appid=b6907d289e10d714a6e88b30761fae22\",\n    \"https://api.openweathermap.org/data/2.5/weather?id=1816670&units=metric&appid=b6907d289e10d714a6e88b30761fae22\",\n    \"https://api.openweathermap.org/data/2.5/weather?id=1850147&units=metric&appid=b6907d289e10d714a6e88b30761fae22\",\n    \"https://api.openweathermap.org/data/2.5/weather?id=2988507&units=metric&appid=b6907d289e10d714a6e88b30761fae22\",\n    \"https://api.openweathermap.org/data/2.5/weather?id=2950159&units=metric&appid=b6907d289e10d714a6e88b30761fae22\",\n    \"https://api.openweathermap.org/data/2.5/weather?id=6094817&units=metric&appid=b6907d289e10d714a6e88b30761fae22\"\n  ]\n\n  data_format = \"json\"\n\n  tag_keys = [\n    \"coord_lon\", \"coord_lat\", \"sys_country\", \"id\", \"name\"\n  ]\n\n  json_string_fields = [\n    \"weather_0_main\", \"weather_0_description\"\n  ]\n\n  json_time_key = \"dt\"\n\n  json_time_format = \"unix\"\n\n  name_override = \"openweathermap\"","collectorPluginList":"httpjson","datasource":"InfluxDB","privacy":"public","createdAt":"2019-01-25T17:50:51.000Z","updatedAt":"2019-02-05T13:15:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":4.67,"links":[{"rel":"self","href":"/dashboards/9710"},{"rel":"revisions","href":"/dashboards/9710/revisions"},{"rel":"revision","href":"/dashboards/9710/revisions/2"},{"rel":"download","href":"/dashboards/9710/revisions/2/download"},{"rel":"org","href":"/orgs/xander1402"},{"rel":"images","href":"/dashboards/9710/images"},{"rel":"thumbnails","href":"/dashboards/9710/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11443,"status":1,"statusCode":"active","orgId":256303,"orgSlug":"progeekro","orgName":"Constantin Zaharia","slug":"open-weather-map","downloads":713,"revisionId":16198,"revision":2,"name":"Open Weather Map","description":"Last revision is changed to use latest telegraf plugin for 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Our goal is to provide a comprehensive and intuitive visualization of OpenBao's performance and health, drawing on the proven design principles of its predecessor.\r\n\r\n### Contributing and Staying Up-to-Date\r\n\r\nFor the latest updates, to contribute, or to explore the underlying code, please refer to the official upstream source: [https://github.com/openbao/openbao-helm](https://github.com/openbao/openbao-helm). Your contributions are welcome and help improve the dashboard for everyone.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-07-15T08:43:24.000Z","updatedAt":"2025-07-15T08:55:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23725"},{"rel":"revisions","href":"/dashboards/23725/revisions"},{"rel":"revision","href":"/dashboards/23725/revisions/1"},{"rel":"download","href":"/dashboards/23725/revisions/1/download"},{"rel":"org","href":"/orgs/openbao"},{"rel":"images","href":"/dashboards/23725/images"},{"rel":"thumbnails","href":"/dashboards/23725/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6332,"status":1,"statusCode":"active","orgId":93779,"orgSlug":"jcarnat","orgName":"Joel Carnat","slug":"openbsd-packet-filter","downloads":575,"revisionId":8618,"revision":1,"name":"OpenBSD Packet Filter","description":"Overview of packet filter pf(4) activity","readme":"This was done on OpenBSD 6.3 :\r\n- Enable PF on host\r\n- Enable snmpd with PF MIBs\r\n- Configure Telegraf to poll OpenBSD snmpd\r\n- Configure Telegraf to store data in InfluxDB","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2018-05-30T10:07:37.000Z","updatedAt":"2018-05-30T10:12:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6332"},{"rel":"revisions","href":"/dashboards/6332/revisions"},{"rel":"revision","href":"/dashboards/6332/revisions/1"},{"rel":"download","href":"/dashboards/6332/revisions/1/download"},{"rel":"org","href":"/orgs/jcarnat"},{"rel":"images","href":"/dashboards/6332/images"},{"rel":"thumbnails","href":"/dashboards/6332/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11640,"status":1,"statusCode":"active","orgId":337297,"orgSlug":"verticaleap","orgName":"verticaleap","slug":"openbsd-server-overview","downloads":1134,"revisionId":16404,"revision":3,"name":"OpenBSD Server Overview","description":"Simple dashboard to display metrics on OpenBSD servers, using a prometheus backend","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-26T17:29:59.000Z","updatedAt":"2020-01-26T17:45:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11640"},{"rel":"revisions","href":"/dashboards/11640/revisions"},{"rel":"revision","href":"/dashboards/11640/revisions/3"},{"rel":"download","href":"/dashboards/11640/revisions/3/download"},{"rel":"org","href":"/orgs/verticaleap"},{"rel":"images","href":"/dashboards/11640/images"},{"rel":"thumbnails","href":"/dashboards/11640/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23499,"status":1,"statusCode":"active","orgId":1445449,"orgSlug":"pstumpf","orgName":"pstumpf","slug":"openbsd-snmp","downloads":255,"revisionId":37369,"revision":1,"name":"OpenBSD SNMP","description":"Dashboard for metrics from OpenBSD's snmpd(8), scraped with snmp_exporter.\r\n\r\nMaintained at https://got.stumpf.co/?action=summary&path=openbsd-grafana-dashboards.git along with the necessary generator.yml.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-06-01T07:47:32.000Z","updatedAt":"2025-06-01T07:52:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23499"},{"rel":"revisions","href":"/dashboards/23499/revisions"},{"rel":"revision","href":"/dashboards/23499/revisions/1"},{"rel":"download","href":"/dashboards/23499/revisions/1/download"},{"rel":"org","href":"/orgs/pstumpf"},{"rel":"images","href":"/dashboards/23499/images"},{"rel":"thumbnails","href":"/dashboards/23499/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9680,"status":1,"statusCode":"active","orgId":227108,"orgSlug":"omnition","orgName":"Paulo Janotti","slug":"opencensus-collector","downloads":381,"revisionId":13448,"revision":1,"name":"OpenCensus Collector","description":"Provides information about the status of the OpenCensus Collector","readme":"Dashboard for the OpenCensus Collector. See more information at https://github.com/census-instrumentation/opencensus-service","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-01-17T01:06:55.000Z","updatedAt":"2019-01-17T05:00:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9680"},{"rel":"revisions","href":"/dashboards/9680/revisions"},{"rel":"revision","href":"/dashboards/9680/revisions/1"},{"rel":"download","href":"/dashboards/9680/revisions/1/download"},{"rel":"org","href":"/orgs/omnition"},{"rel":"images","href":"/dashboards/9680/images"},{"rel":"thumbnails","href":"/dashboards/9680/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25322,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"openclaw","downloads":0,"revisionId":40836,"revision":1,"name":"OpenClaw","description":"Monitoring dashboard for OpenClaw gateway usage. Tracks message processing, LLM token consumption, channel activity, stuck sessions, and errors across WhatsApp and WeChat channels.","readme":"# OpenClaw Monitoring Dashboard\r\n\r\nMonitor OpenClaw gateway usage across WhatsApp and WeChat channels using Application Insights and OpenTelemetry data.\r\n\r\n## What This Dashboard Shows\r\n\r\n- **Message Processing**: Total messages handled, unique chat sessions, average and P95 response times\r\n- **LLM Token Consumption**: Input/output token usage and cost tracking\r\n- **Channel Activity**: Message volume breakdown by WhatsApp and WeChat channels\r\n- **Stuck Sessions**: Detection and tracking of sessions that stop responding\r\n- **Error Monitoring**: Exception rates and error breakdowns\r\n\r\n## Prerequisites\r\n\r\n- Azure Managed Grafana instance\r\n- Application Insights resource with OpenTelemetry data from OpenClaw\r\n- Azure Monitor data source configured in Grafana\r\n\r\n## Getting Started\r\n\r\n1. Import this dashboard into your Azure Managed Grafana instance\r\n2. Select your Azure Monitor data source\r\n3. Configure the Application Insights resource filter\r\n\r\nFor detailed setup instructions, visit: https://aka.ms/amg/dash-doc/openclaw","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2026-05-21T23:23:52.000Z","updatedAt":"2026-05-21T23:24:31.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25322"},{"rel":"revisions","href":"/dashboards/25322/revisions"},{"rel":"revision","href":"/dashboards/25322/revisions/1"},{"rel":"download","href":"/dashboards/25322/revisions/1/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/25322/images"},{"rel":"thumbnails","href":"/dashboards/25322/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":25188,"status":1,"statusCode":"active","orgId":294226,"orgSlug":"fb1w2w3y","orgName":"fb1w2w3y","slug":"openclaw","downloads":22,"revisionId":40539,"revision":1,"name":"OpenClaw","description":"Monitoring dashboard for OpenClaw gateway. Tracks message processing, LLM token consumption, channel activity, stuck sessions, and errors across WhatsApp and WeChat channels.","readme":"# OpenClaw\r\n\r\nMonitoring dashboard for OpenClaw gateway usage via Application Insights OpenTelemetry data. Tracks message processing across channels (WhatsApp, WeChat), LLM token consumption and cost, response latency, stuck sessions, and gateway errors. Includes a recent-messages table with trace drill-down for debugging individual interactions.\r\n\r\n## Screenshots\r\n![OpenClaw – Main](https://github.com/1w2w3y/grafana-dashboards/raw/master/openclaw/openclaw-main.png)\r\n\r\n## Issues and feedback\r\nhttps://github.com/1w2w3y/grafana-dashboards/issues\r\n\r\n## Features\r\n- Summary\r\n  - Message Summary (Messages, Unique Chats, Avg Response, P95 Response)\r\n  - LLM & Health Summary (LLM Calls, Output Tokens, Cache Read Tokens, Avg LLM Time, Stuck Sessions)\r\n- Message Activity\r\n  - Messages by Channel\r\n  - Response Time (avg / p95)\r\n- LLM Token Usage\r\n  - Token Usage Over Time (output / cache read / cache write)\r\n  - Model Usage Breakdown (per model / provider / channel)\r\n- Health & Errors\r\n  - Stuck Sessions Over Time\r\n  - Errors & Warnings\r\n- Channel Details\r\n  - Messages by Channel (distribution)\r\n  - Recent Messages (with trace drill-down)\r\n\r\n## How it works\r\n- Grafana queries Application Insights via the Azure Monitor data source using Log Analytics (KQL) queries against the `dependencies` table, filtered by `cloud_RoleName == \"openclaw-gateway\"`. Metrics are grouped by `openclaw.*` custom dimensions (channel, outcome, model, provider, chatId).\r\n- Variables:\r\n  - `am_ds` — Azure Monitor data source\r\n  - `sub` — Azure subscription\r\n  - `rg` — Resource group (resolved via Azure Resource Graph for `microsoft.insights/components`)\r\n  - `res` — Application Insights resource\r\n- Default time range is 7 days; default refresh 30 minutes.\r\n\r\n## Requirements\r\n- Grafana 11.6+ with the Azure Monitor data source configured with access to the subscription containing your Application Insights resource.\r\n- OpenClaw gateway telemetry flowing into Application Insights via OpenTelemetry with `cloud_RoleName = \"openclaw-gateway\"` and `openclaw.*` custom dimensions. See [Ingest data into Application Insights via OpenTelemetry Collector](https://aka.ms/amg/dash-doc/otlp-appinsights) for the end-to-end setup — running the OTel Collector with the Azure Monitor Exporter, the OpenClaw gateway telemetry config (`serviceName: \"openclaw-gateway\"`), and KQL verification queries.\r\n\r\n## Change history\r\n- 5/1/2026 Point data-ingestion link to the published Microsoft Learn guide (aka.ms/amg/dash-doc/otlp-appinsights)\r\n- 4/17/2026 Initial version","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2026-04-17T23:20:20.000Z","updatedAt":"2026-05-02T04:37:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25188"},{"rel":"revisions","href":"/dashboards/25188/revisions"},{"rel":"revision","href":"/dashboards/25188/revisions/1"},{"rel":"download","href":"/dashboards/25188/revisions/1/download"},{"rel":"org","href":"/orgs/fb1w2w3y"},{"rel":"images","href":"/dashboards/25188/images"},{"rel":"thumbnails","href":"/dashboards/25188/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":25068,"status":1,"statusCode":"active","orgId":1698188,"orgSlug":"dongguafu","orgName":"dongguafu","slug":"openclaw-diagnostics-otel","downloads":32,"revisionId":40305,"revision":1,"name":"OpenClaw diagnostics-otel","description":"openclaw dashboard with opensearch & prometheus as datasource","readme":"# OpenClaw Observability Dashboard\r\n\r\nVisualize traces, metrics, and logs exported by the OpenClaw diagnostics-otel plugin via OpenTelemetry.\r\n\r\n## Features\r\n\r\n* Token usage by type (input / cache_read / output)\r\n* Token usage by model\r\n* Cost tracking\r\n* Message queue and session status\r\n* Trace visualization (spans per service)\r\n\r\n## Requirements\r\n\r\n* [observability-stack](https://github.com/opensearch-project/observability-stack) — OpenTelemetry → OpenSearch pipeline\r\n* Grafana OpenSearch datasource plugin (grafana-opensearch-datasource)\r\n* OpenClaw with diagnostics-otel plugin enabled\r\n\r\n## Setup\r\n\r\nDownload these two files:\r\n\r\n* docker-compose.grafana.yml — [https://gist.github.com/fudongyingluck/a6de6636a8fcc9ae161f08d1ebd1de96](https://gist.github.com/fudongyingluck/a6de6636a8fcc9ae161f08d1ebd1de96)\r\n* datasources.yaml — [https://gist.github.com/fudongyingluck/6cb5e7984f535ac5b3831a55012c9503](https://gist.github.com/fudongyingluck/6cb5e7984f535ac5b3831a55012c9503)\r\n\r\nEdit datasources.yaml with your OpenSearch host, username, and password, then run:\r\n\r\n```bash\r\ndocker compose -f docker-compose.yml -f docker-compose.grafana.yml up -d grafana\r\n```\r\n\r\nImport this dashboard and bind the three datasources:\r\n\r\n* DS_PROMETHEUS → Prometheus\r\n* DS_OPENSEARCH_LOGS → OpenSearch-Logs\r\n* DS_OPENSEARCH_TRACES → OpenSearch-Traces","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus, OpenSearch","privacy":"public","createdAt":"2026-03-26T03:19:21.000Z","updatedAt":"2026-03-26T03:19:38.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25068"},{"rel":"revisions","href":"/dashboards/25068/revisions"},{"rel":"revision","href":"/dashboards/25068/revisions/1"},{"rel":"download","href":"/dashboards/25068/revisions/1/download"},{"rel":"org","href":"/orgs/dongguafu"},{"rel":"images","href":"/dashboards/25068/images"},{"rel":"thumbnails","href":"/dashboards/25068/thumbnails"}],"datasourceSlugs":["grafana-opensearch-datasource","prometheus"]},{"id":25181,"status":1,"statusCode":"active","orgId":1734316,"orgSlug":"partmeai","orgName":"partmeai","slug":"openclaw-gateway-cluster","downloads":11,"revisionId":40524,"revision":1,"name":"OpenClaw Gateway — Cluster","description":"OpenClaw Gateway — Cluster","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-16T04:37:28.000Z","updatedAt":"2026-04-16T04:38:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25181"},{"rel":"revisions","href":"/dashboards/25181/revisions"},{"rel":"revision","href":"/dashboards/25181/revisions/1"},{"rel":"download","href":"/dashboards/25181/revisions/1/download"},{"rel":"org","href":"/orgs/partmeai"},{"rel":"images","href":"/dashboards/25181/images"},{"rel":"thumbnails","href":"/dashboards/25181/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25180,"status":1,"statusCode":"active","orgId":1734316,"orgSlug":"partmeai","orgName":"partmeai","slug":"openclaw-gateway-single-node","downloads":19,"revisionId":40523,"revision":1,"name":"OpenClaw Gateway — Single node","description":"OpenClaw Gateway — Single node","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-16T04:35:29.000Z","updatedAt":"2026-04-16T04:38:13.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25180"},{"rel":"revisions","href":"/dashboards/25180/revisions"},{"rel":"revision","href":"/dashboards/25180/revisions/1"},{"rel":"download","href":"/dashboards/25180/revisions/1/download"},{"rel":"org","href":"/orgs/partmeai"},{"rel":"images","href":"/dashboards/25180/images"},{"rel":"thumbnails","href":"/dashboards/25180/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25067,"status":1,"statusCode":"active","orgId":1698188,"orgSlug":"dongguafu","orgName":"dongguafu","slug":"openclaw-otel-observability","downloads":50,"revisionId":40304,"revision":1,"name":"OpenClaw otel-observability","description":"openclaw dashboard with opensearch & prometheus as datasource","readme":"# OpenClaw Observability Dashboard\r\n\r\nVisualize traces, metrics, and logs exported by the OpenClaw diagnostics-otel  + otel-observability plugin via OpenTelemetry.\r\n\r\n## Features\r\n\r\n* Token usage by type (input / cache_read / output)\r\n* Token usage by model\r\n* Cost tracking\r\n* Message queue and session status\r\n* Trace visualization (spans per service)\r\n\r\n## Requirements\r\n\r\n* [observability-stack](https://github.com/opensearch-project/observability-stack) — OpenTelemetry → OpenSearch pipeline\r\n* Grafana OpenSearch datasource plugin (grafana-opensearch-datasource)\r\n* OpenClaw with diagnostics-otel plugin enabled\r\n\r\n## Setup\r\n\r\nDownload these two files:\r\n\r\n* docker-compose.grafana.yml — [https://gist.github.com/fudongyingluck/a6de6636a8fcc9ae161f08d1ebd1de96](https://gist.github.com/fudongyingluck/a6de6636a8fcc9ae161f08d1ebd1de96)\r\n* datasources.yaml — [https://gist.github.com/fudongyingluck/6cb5e7984f535ac5b3831a55012c9503](https://gist.github.com/fudongyingluck/6cb5e7984f535ac5b3831a55012c9503)\r\n\r\nEdit datasources.yaml with your OpenSearch host, username, and password, then run:\r\n\r\n```bash\r\ndocker compose -f docker-compose.yml -f docker-compose.grafana.yml up -d grafana\r\n```\r\n\r\nImport this dashboard and bind the three datasources:\r\n\r\n* DS_PROMETHEUS → Prometheus\r\n* DS_OPENSEARCH_LOGS → OpenSearch-Logs\r\n* DS_OPENSEARCH_TRACES → OpenSearch-Traces","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus, OpenSearch","privacy":"public","createdAt":"2026-03-26T03:05:54.000Z","updatedAt":"2026-03-26T03:11:34.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25067"},{"rel":"revisions","href":"/dashboards/25067/revisions"},{"rel":"revision","href":"/dashboards/25067/revisions/1"},{"rel":"download","href":"/dashboards/25067/revisions/1/download"},{"rel":"org","href":"/orgs/dongguafu"},{"rel":"images","href":"/dashboards/25067/images"},{"rel":"thumbnails","href":"/dashboards/25067/thumbnails"}],"datasourceSlugs":["grafana-opensearch-datasource","prometheus"]},{"id":25323,"status":1,"statusCode":"active","orgId":497832,"orgSlug":"azure","orgName":"azure","slug":"opencode","downloads":0,"revisionId":40837,"revision":1,"name":"OpenCode","description":"Monitoring dashboard for OpenCode CLI usage. Tracks sessions, user prompts, LLM call volume, token consumption (including cache read/write ratios), tool executions and failure rates, latency percentiles, model breakdowns, and exceptions. Data sourced from Application Insights via OpenTelemetry.","readme":"# OpenCode Monitoring Dashboard\r\n\r\nMonitor OpenCode CLI usage and performance using Application Insights and OpenTelemetry data.\r\n\r\n## What This Dashboard Shows\r\n\r\n- **Summary KPIs**: Total sessions, user prompts, LLM calls, total tokens, cache read %, and exceptions\r\n- **Operational KPIs**: Tool executions, failure rates, avg tokens per prompt, P95 latency\r\n- **Activity Over Time**: LLM calls by model, token usage trends\r\n- **Tool & Latency Breakdowns**: Top tools called, WebFetch hosts, LLM latency by model\r\n- **Sessions & Errors**: Top sessions by token usage, exception tracking, provider split\r\n- **Cache Analytics**: LLM finish reasons, prompt latency, cache hit ratio over time\r\n\r\n## Prerequisites\r\n\r\n- Azure Managed Grafana instance\r\n- Application Insights resource with OpenTelemetry data from OpenCode\r\n- Azure Monitor data source configured in Grafana\r\n\r\n## Getting Started\r\n\r\n1. Import this dashboard into your Azure Managed Grafana instance\r\n2. Select your Azure Monitor data source\r\n3. Configure the Application Insights resource filter\r\n\r\nFor detailed setup instructions, visit: https://aka.ms/amg/dash-doc/opencode","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2026-05-21T23:25:02.000Z","updatedAt":"2026-05-21T23:25:38.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25323"},{"rel":"revisions","href":"/dashboards/25323/revisions"},{"rel":"revision","href":"/dashboards/25323/revisions/1"},{"rel":"download","href":"/dashboards/25323/revisions/1/download"},{"rel":"org","href":"/orgs/azure"},{"rel":"images","href":"/dashboards/25323/images"},{"rel":"thumbnails","href":"/dashboards/25323/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":22252,"status":1,"statusCode":"active","orgId":299646,"orgSlug":"adinhodovic","orgName":"adinhodovic","slug":"opencost-namespace","downloads":23654,"revisionId":40498,"revision":7,"name":"OpenCost / Namespace","description":"A detailed namespace-level cost analysis dashboard that breaks down infrastructure spending by pods, containers, persistent volumes, and GPU usage within a selected namespace. Use this dashboard to understand which workloads are driving costs within a namespace, track monthly cost trends over time, and identify optimization opportunities at the pod and container level. This dashboard is ideal for application teams monitoring their own resource consumption and costs. The dashboards were generated using [opencost-mixin](https://github.com/adinhodovic/opencost-mixin). Open issues and create feature requests in the repository.","readme":"A dashboard that monitors OpenCost and focuses on namespace costs. It is created using the [opencost-mixin](https://github.com/adinhodovic/opencost-mixin).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2024-11-10T23:59:11.000Z","updatedAt":"2026-04-14T17:49:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22252"},{"rel":"revisions","href":"/dashboards/22252/revisions"},{"rel":"revision","href":"/dashboards/22252/revisions/7"},{"rel":"download","href":"/dashboards/22252/revisions/7/download"},{"rel":"org","href":"/orgs/adinhodovic"},{"rel":"images","href":"/dashboards/22252/images"},{"rel":"thumbnails","href":"/dashboards/22252/thumbnails"}]},{"id":22208,"status":1,"statusCode":"active","orgId":299646,"orgSlug":"adinhodovic","orgName":"adinhodovic","slug":"opencost-overview","downloads":231637,"revisionId":40499,"revision":6,"name":"OpenCost / Overview","description":"A comprehensive overview dashboard for OpenCost that displays cluster-wide cost metrics including hourly and monthly costs broken down by resource type (CPU, RAM, PV, GPU), instance type, namespace, and individual nodes. Use this dashboard to monitor overall infrastructure spending, identify cost trends, and detect cost anomalies across your Kubernetes cluster. The dashboards were generated using [opencost-mixin](https://github.com/adinhodovic/opencost-mixin). Open issues and create feature requests in the repository.","readme":"A dashboard that monitors OpenCost and focuses on giving a overview for OpenCost. It is created using the [opencost-mixin](https://github.com/adinhodovic/opencost-mixin).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2024-11-03T22:15:30.000Z","updatedAt":"2026-04-14T17:49:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22208"},{"rel":"revisions","href":"/dashboards/22208/revisions"},{"rel":"revision","href":"/dashboards/22208/revisions/6"},{"rel":"download","href":"/dashboards/22208/revisions/6/download"},{"rel":"org","href":"/orgs/adinhodovic"},{"rel":"images","href":"/dashboards/22208/images"},{"rel":"thumbnails","href":"/dashboards/22208/thumbnails"}]},{"id":25168,"status":1,"statusCode":"active","orgId":299646,"orgSlug":"adinhodovic","orgName":"adinhodovic","slug":"opencost-workload","downloads":213,"revisionId":40487,"revision":1,"name":"OpenCost / Workload","description":"A workload-focused OpenCost dashboard that breaks down cost inside a namespace using workload ownership labels. It mirrors the existing mixin style while adding workload_type and workload selectors so teams can inspect workload-level monthly, daily, and hourly cost drivers across RAM, CPU, persistent volume, and GPU usage. This dashboard depends on the workload recording rules shipped with the mixin on GitHub. Time-based workload cost views are smoothed with 1-hour averages sampled every 5 minutes (`[1h:5m]`). The dashboards were generated using opencost-mixin. https://github.com/adinhodovic/opencost-mixin. Open issues and create feature requests in the repository.","readme":"A workload-focused OpenCost dashboard that breaks down cost inside a namespace using workload ownership labels. It mirrors the existing mixin style while adding workload_type and workload selectors so teams can inspect workload-level monthly, daily, and hourly cost drivers across RAM, CPU, persistent volume, and GPU usage. This dashboard depends on the workload recording rules shipped with the mixin on GitHub. Time-based workload cost views are smoothed with 1-hour averages sampled every 5 minutes (`[1h:5m]`). The dashboards were generated using opencost-mixin. https://github.com/adinhodovic/opencost-mixin. 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It’s important to set new database user with read only permissions on OpenDCIM Database.\r\n\r\nDetails on MySQL data source can be found in Grafana documentation here: http://docs.grafana.org/features/datasources/mysql/\r\n\r\nContact -> #opendcim.france@\"gmail.com\"#","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2024-06-13T09:32:53.000Z","updatedAt":"2024-07-02T15:12:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21313"},{"rel":"revisions","href":"/dashboards/21313/revisions"},{"rel":"revision","href":"/dashboards/21313/revisions/1"},{"rel":"download","href":"/dashboards/21313/revisions/1/download"},{"rel":"org","href":"/orgs/oliveirarenovation"},{"rel":"images","href":"/dashboards/21313/images"},{"rel":"thumbnails","href":"/dashboards/21313/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":23532,"status":1,"statusCode":"active","orgId":853843,"orgSlug":"wolfgangneumann01","orgName":"wolfgangneumann01","slug":"opendtu","downloads":228,"revisionId":37420,"revision":1,"name":"OpenDTU","description":"test1","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, Prometheus","privacy":"public","createdAt":"2025-06-05T11:59:16.000Z","updatedAt":"2025-06-05T11:59:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23532"},{"rel":"revisions","href":"/dashboards/23532/revisions"},{"rel":"revision","href":"/dashboards/23532/revisions/1"},{"rel":"download","href":"/dashboards/23532/revisions/1/download"},{"rel":"org","href":"/orgs/wolfgangneumann01"},{"rel":"images","href":"/dashboards/23532/images"},{"rel":"thumbnails","href":"/dashboards/23532/thumbnails"}],"datasourceSlugs":["__expr__","prometheus"]},{"id":19666,"status":1,"statusCode":"active","orgId":769780,"orgSlug":"ccommanderred","orgName":"ccommanderred","slug":"opendtu","downloads":978,"revisionId":32020,"revision":2,"name":"OpenDTU","description":"","readme":"This is intended to be used with the Prometheus API of https://github.com/tbnobody/OpenDTU.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, Prometheus","privacy":"public","createdAt":"2023-09-27T11:22:34.000Z","updatedAt":"2024-03-15T18:14:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19666"},{"rel":"revisions","href":"/dashboards/19666/revisions"},{"rel":"revision","href":"/dashboards/19666/revisions/2"},{"rel":"download","href":"/dashboards/19666/revisions/2/download"},{"rel":"org","href":"/orgs/ccommanderred"},{"rel":"images","href":"/dashboards/19666/images"},{"rel":"thumbnails","href":"/dashboards/19666/thumbnails"}],"datasourceSlugs":["__expr__","prometheus"]},{"id":18819,"status":1,"statusCode":"active","orgId":234141,"orgSlug":"mephisto","orgName":"mephisto","slug":"opendtu-flux","downloads":1521,"revisionId":29066,"revision":3,"name":"openDTU [Flux]","description":"","readme":"Dashboard & Telegraf config to collect and visualize Data from a Hoymiles MIcroinverter.\r\n\r\n- It is assumed that you have openDTU (https://github.com/tbnobody/OpenDTU) connected to a Hoymiles Microinverter and configured it to drop the collected data to an MQTT Broker. It is also assumed that you have a telegraf running somewhere, that can connect both to your MQTT and your InfluxDB Server.\r\n\r\n1. Use the telegraf collector config and adjust mqtt server if needed. If you have more than two DC inlets in your inverter, add  `solar/+/3/+`and `   \"solar/+/4/+`. Also adjust MQTT Credentials / Certificates if needed.\r\n2. Verify that you have data in your default Bucket (in measurement `mqtt_consumer`)\r\n3. Import Dashboard to Grafana, select datasource, bucket and inverter.\r\n\r\nBecause grafana.com messed up their website, I include the collector Config here in the readme:\r\n\r\n```\r\n[[inputs.mqtt_consumer]]\r\n  servers = [\"tcp://localhost:1883\"]\r\n  topics = [\r\n     \"solar/+/status/+\",\r\n     \"solar/+/0/+\",\r\n     \"solar/+/1/+\",\r\n     \"solar/+/2/+\"\r\n  ]\r\n  data_format = \"value\"\r\n  data_type = \"float\"\r\n\r\n[[inputs.mqtt_consumer.topic_parsing]]\r\n  topic = \"solar/+/+/+\"\r\n  tags = \"_/serial/channel/field\"\r\n[[processors.pivot]]\r\n  tag_key = \"field\"\r\n  value_key = \"value\"\r\n```","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.mqtt_consumer]]\r\n  servers = [\"tcp://localhost:1883\"]\r\n  topics = [\r\n     \"solar/+/status/+\",\r\n     \"solar/+/0/+\",\r\n     \"solar/+/1/+\",\r\n     \"solar/+/2/+\"\r\n  ]\r\n  data_format = \"value\"\r\n  data_type = \"float\"\r\n\r\n[[inputs.mqtt_consumer.topic_parsing]]\r\n  topic = \"solar/+/+/+\"\r\n  tags = \"_/serial/channel/field\"\r\n[[processors.pivot]]\r\n  tag_key = \"field\"\r\n  value_key = \"value\"\r\n```","collectorPluginList":"influxdb","datasource":"InfluxDB","privacy":"public","createdAt":"2023-05-24T13:05:59.000Z","updatedAt":"2023-06-12T09:55:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18819"},{"rel":"revisions","href":"/dashboards/18819/revisions"},{"rel":"revision","href":"/dashboards/18819/revisions/3"},{"rel":"download","href":"/dashboards/18819/revisions/3/download"},{"rel":"org","href":"/orgs/mephisto"},{"rel":"images","href":"/dashboards/18819/images"},{"rel":"thumbnails","href":"/dashboards/18819/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22287,"status":1,"statusCode":"active","orgId":1259162,"orgSlug":"macsa1","orgName":"macsa1","slug":"opendtu-flux","downloads":370,"revisionId":35014,"revision":1,"name":"openDTU [Flux]","description":"Marcdtu","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-11-13T02:20:42.000Z","updatedAt":"2024-11-13T02:22:50.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22287"},{"rel":"revisions","href":"/dashboards/22287/revisions"},{"rel":"revision","href":"/dashboards/22287/revisions/1"},{"rel":"download","href":"/dashboards/22287/revisions/1/download"},{"rel":"org","href":"/orgs/macsa1"},{"rel":"images","href":"/dashboards/22287/images"},{"rel":"thumbnails","href":"/dashboards/22287/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9065,"status":1,"statusCode":"active","orgId":212987,"orgSlug":"utkarshmani1997","orgName":"Utkarsh Tripathi","slug":"openebs-volume-stats","downloads":694,"revisionId":12509,"revision":1,"name":"OpenEBS Volume Stats","description":"This dashboard provides volume metrics","readme":"This dashboard exports metrics of OpenEBS volumes collected by maya-exporter. Common exported statistics are latency, throughput, iops, uptime etc.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-11-16T09:20:13.000Z","updatedAt":"2018-11-17T06:58:31.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9065"},{"rel":"revisions","href":"/dashboards/9065/revisions"},{"rel":"revision","href":"/dashboards/9065/revisions/1"},{"rel":"download","href":"/dashboards/9065/revisions/1/download"},{"rel":"org","href":"/orgs/utkarshmani1997"},{"rel":"images","href":"/dashboards/9065/images"},{"rel":"thumbnails","href":"/dashboards/9065/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11202,"status":1,"statusCode":"active","orgId":313707,"orgSlug":"ducmeit1","orgName":"ducmeit1","slug":"openfaas","downloads":649,"revisionId":15633,"revision":1,"name":"OpenFaas","description":"OpenFaaS dashboard","readme":"Advanced metrics dashboard support multiple environments with multiple data source from Prometheus, and multiple functions for OpenFaas.\n\nPlease configure variable: $env if you want to apply for multiple environments.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-15T18:33:50.000Z","updatedAt":"2019-11-15T18:46:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/11202"},{"rel":"revisions","href":"/dashboards/11202/revisions"},{"rel":"revision","href":"/dashboards/11202/revisions/1"},{"rel":"download","href":"/dashboards/11202/revisions/1/download"},{"rel":"org","href":"/orgs/ducmeit1"},{"rel":"images","href":"/dashboards/11202/images"},{"rel":"thumbnails","href":"/dashboards/11202/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3434,"status":1,"statusCode":"active","orgId":22958,"orgSlug":"idomyowntricks","orgName":"Brian Christner","slug":"faas","downloads":27732,"revisionId":4781,"revision":4,"name":"OpenFaaS Serverless Dashboard","description":"A Dashboard for the OpenFaaS serverless framework","readme":"[OpenFaaS (Functions as a Service)](https://www.openfaas.com/) is a framework for building serverless functions with Docker which has first class support for metrics. These metrics are scraped by Prometheus and visually represented in Grafana. The entire OpenFaaS framework can be launched in less the 60 seconds which includes the monitoring capability.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-10-12T05:03:55.000Z","updatedAt":"2017-10-13T07:36:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3434"},{"rel":"revisions","href":"/dashboards/3434/revisions"},{"rel":"revision","href":"/dashboards/3434/revisions/4"},{"rel":"download","href":"/dashboards/3434/revisions/4/download"},{"rel":"org","href":"/orgs/idomyowntricks"},{"rel":"images","href":"/dashboards/3434/images"},{"rel":"thumbnails","href":"/dashboards/3434/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19873,"status":1,"statusCode":"active","orgId":949180,"orgSlug":"opengemini","orgName":"opengemini","slug":"opengemini-writing-monitor","downloads":265,"revisionId":30535,"revision":1,"name":"openGemini-writing-monitor","description":"Templated dashboard for openGemini write monitor","readme":"Templated dashboard for openGemini write monitor","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"openGemini","privacy":"public","createdAt":"2023-10-28T06:22:30.000Z","updatedAt":"2023-10-30T06:32:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19873"},{"rel":"revisions","href":"/dashboards/19873/revisions"},{"rel":"revision","href":"/dashboards/19873/revisions/1"},{"rel":"download","href":"/dashboards/19873/revisions/1/download"},{"rel":"org","href":"/orgs/opengemini"},{"rel":"images","href":"/dashboards/19873/images"},{"rel":"thumbnails","href":"/dashboards/19873/thumbnails"}],"datasourceSlugs":["opengemini-opengemini-datasource"]},{"id":10809,"status":1,"statusCode":"active","orgId":284329,"orgSlug":"will2","orgName":"will2","slug":"openhpc","downloads":890,"revisionId":15083,"revision":2,"name":"OpenHPC","description":"","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-09-03T16:18:23.000Z","updatedAt":"2019-09-03T16:32:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10809"},{"rel":"revisions","href":"/dashboards/10809/revisions"},{"rel":"revision","href":"/dashboards/10809/revisions/2"},{"rel":"download","href":"/dashboards/10809/revisions/2/download"},{"rel":"org","href":"/orgs/will2"},{"rel":"images","href":"/dashboards/10809/images"},{"rel":"thumbnails","href":"/dashboards/10809/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13426,"status":1,"statusCode":"active","orgId":284329,"orgSlug":"will2","orgName":"will2","slug":"openhpc-slurm","downloads":1824,"revisionId":19603,"revision":2,"name":"OpenHPC Slurm","description":"Mashup of openhpc dashboard with slurm-stats","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch, Prometheus","privacy":"public","createdAt":"2020-11-19T17:39:16.000Z","updatedAt":"2020-11-20T18:16:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13426"},{"rel":"revisions","href":"/dashboards/13426/revisions"},{"rel":"revision","href":"/dashboards/13426/revisions/2"},{"rel":"download","href":"/dashboards/13426/revisions/2/download"},{"rel":"org","href":"/orgs/will2"},{"rel":"images","href":"/dashboards/13426/images"},{"rel":"thumbnails","href":"/dashboards/13426/thumbnails"}],"datasourceSlugs":["elasticsearch","prometheus"]},{"id":19231,"status":1,"statusCode":"active","orgId":907443,"orgSlug":"openjob","orgName":"openjob","slug":"openjob","downloads":267,"revisionId":29499,"revision":1,"name":"OpenJob","description":"Dashboard for Spring Boot2.1 Statistics(based on Spring Boot2 Statistic by micrometer-prometheus).","readme":"OpenJob","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-26T14:40:48.000Z","updatedAt":"2023-07-27T03:02:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19231"},{"rel":"revisions","href":"/dashboards/19231/revisions"},{"rel":"revision","href":"/dashboards/19231/revisions/1"},{"rel":"download","href":"/dashboards/19231/revisions/1/download"},{"rel":"org","href":"/orgs/openjob"},{"rel":"images","href":"/dashboards/19231/images"},{"rel":"thumbnails","href":"/dashboards/19231/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5750,"status":1,"statusCode":"active","orgId":142340,"orgSlug":"pennstate","orgName":"pennstate","slug":"openldap","downloads":937,"revisionId":7784,"revision":1,"name":"OpenLDAP","description":"For use with the telegraf openldap input plugin.","readme":"Requires at least telegraf 1.6.0 with the `reverse_metric_names` option for the openldap plugin.","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.openldap]]\r\n  reverse_metric_names = true\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-04-23T18:57:25.000Z","updatedAt":"2018-04-23T19:06:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5750"},{"rel":"revisions","href":"/dashboards/5750/revisions"},{"rel":"revision","href":"/dashboards/5750/revisions/1"},{"rel":"download","href":"/dashboards/5750/revisions/1/download"},{"rel":"org","href":"/orgs/pennstate"},{"rel":"images","href":"/dashboards/5750/images"},{"rel":"thumbnails","href":"/dashboards/5750/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13349,"status":1,"statusCode":"active","orgId":433922,"orgSlug":"quanah","orgName":"quanah","slug":"openldap-status","downloads":578,"revisionId":19415,"revision":3,"name":"OpenLDAP Status","description":"Per server data from OpenLDAP monitor backend.","readme":"This dashboard gathers statistics for OpenLDAP from the monitor backend.  Usage requires the openldap input in telegraf and the ability for telegraf to have read access to the monitor db.  It is necessary to set reverse_metric_names=true for the input.\r\n\r\nExample config:\r\n```\r\n[[inputs.openldap]]\r\nhost=\"localhost\"\r\nport=389\r\ntls=\"\"\r\nreverse_metric_names=true\r\n```\r\n\r\nIt is important to note that the MDB portion of the dashboard assumes that the MDB database is the first database in the configuration (I.e., olcDatabase={1}mdb).  If that is not the database to be monitored, the MDB dashboard will need to be adjusted accordingly.","collectorType":"Telegraf","collectorConfig":"Uses the openldap input and requires the ability to access the monitor backend.\r\n","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2020-11-05T21:02:58.000Z","updatedAt":"2020-11-16T21:16:06.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13349"},{"rel":"revisions","href":"/dashboards/13349/revisions"},{"rel":"revision","href":"/dashboards/13349/revisions/3"},{"rel":"download","href":"/dashboards/13349/revisions/3/download"},{"rel":"org","href":"/orgs/quanah"},{"rel":"images","href":"/dashboards/13349/images"},{"rel":"thumbnails","href":"/dashboards/13349/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17843,"status":1,"statusCode":"active","orgId":583741,"orgSlug":"aceforever","orgName":"aceforever","slug":"openmldb-dashboard","downloads":1136,"revisionId":31142,"revision":4,"name":"OpenMLDB dashboard","description":"Grafana dashboard for https://github.com/4paradigm/OpenMLDB","readme":"## Compatibility Notice\r\n\r\nWith OpenMLDB <= 0.8.3 and openmldb-exporter < 0.9.0, you should use the [revision 3](https://grafana.com/api/dashboards/17843/revisions/3/download) of the Grafana dashboard; For OpenMLDB >= 0.8.4 and openmldb-exporter >= 0.9.0, please select the latest revision ( 4 or later). For more information, refer the [openmldb-exporter release page](https://github.com/4paradigm/openmldb-exporter/releases)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-01-10T07:49:34.000Z","updatedAt":"2023-12-30T05:08:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17843"},{"rel":"revisions","href":"/dashboards/17843/revisions"},{"rel":"revision","href":"/dashboards/17843/revisions/4"},{"rel":"download","href":"/dashboards/17843/revisions/4/download"},{"rel":"org","href":"/orgs/aceforever"},{"rel":"images","href":"/dashboards/17843/images"},{"rel":"thumbnails","href":"/dashboards/17843/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9488,"status":1,"statusCode":"active","orgId":107270,"orgSlug":"mfuhrmann","orgName":"mfuhrmann","slug":"opennms-postgresql-database-stats","downloads":452,"revisionId":32789,"revision":2,"name":"OpenNMS - PostgreSQL Database Stats","description":"PostgreSQL database stats","readme":"The dashboard is maintained [on Github](https://github.com/opennms-forge/grafana-dashboards)\r\n\r\nThis dashboard requires the [PostgreSQL config module](https://github.com/opennms-config-modules/postgresql)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"OpenNMS Performance","privacy":"public","createdAt":"2018-12-10T19:44:48.000Z","updatedAt":"2024-05-16T20:05:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9488"},{"rel":"revisions","href":"/dashboards/9488/revisions"},{"rel":"revision","href":"/dashboards/9488/revisions/2"},{"rel":"download","href":"/dashboards/9488/revisions/2/download"},{"rel":"org","href":"/orgs/mfuhrmann"},{"rel":"images","href":"/dashboards/9488/images"},{"rel":"thumbnails","href":"/dashboards/9488/thumbnails"}],"datasourceSlugs":["opennms-performance-datasource"]},{"id":6006,"status":1,"statusCode":"active","orgId":132087,"orgSlug":"dss","orgName":"Danny Sonnenschein","slug":"opennms-activemq","downloads":705,"revisionId":8190,"revision":1,"name":"OpenNMS ActiveMQ","description":"Monitor the backbone of OpenNMS","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"opennms-helm-performance-datasource","privacy":"public","createdAt":"2018-05-08T23:03:41.000Z","updatedAt":"2018-12-09T19:55:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6006"},{"rel":"revisions","href":"/dashboards/6006/revisions"},{"rel":"revision","href":"/dashboards/6006/revisions/1"},{"rel":"download","href":"/dashboards/6006/revisions/1/download"},{"rel":"org","href":"/orgs/dss"},{"rel":"images","href":"/dashboards/6006/images"},{"rel":"thumbnails","href":"/dashboards/6006/thumbnails"}],"datasourceSlugs":["opennms-helm-performance-datasource"]},{"id":5148,"status":1,"statusCode":"active","orgId":132087,"orgSlug":"dss","orgName":"Danny Sonnenschein","slug":"opennms-basic-snmp-data","downloads":2049,"revisionId":16833,"revision":10,"name":"OpenNMS Basic SNMP data","description":"Display basic SNMP data collected on Linux hosts with OpenNMS >= 25.2.x for use with OpenNMS Helm 5.0.0 in Grafana 6.6 (optionally with R for trendlines).","readme":"This dashboard shows performance metrics collected via SNMP. It is inteded for OpenNMS 25.x with OpenNMS Helm 5.x and Grafana 6.6. For older versions of OpenNMS / Grafana please dowload revision 9 resp. 5.\r\n\r\n### Installation\r\n\r\nThe forecasts require R to be installed on the grafana/opennms-helm server. This can be done on Ubuntu with the following command:\r\n\r\n    $ sudo apt-get install r-recommended\r\n\r\nAlternatively you can use the following command on CentOS/Red Hat:\r\n\r\n    $ sudo dnf install R\r\n\r\n### Reviews\r\n\r\nIf you have any suggestions or feature requests, please post me a review!\r\n\r\n### Changelog\r\n\r\n* Revision 10\r\n  * Update to OpenNMS 25.2.1 and Grafana 6.6\r\n  * Fixed top row single stats\r\n\r\n* Revision 9\r\n  * Update to OpenNMS 25 and Helm 4\r\n  * Added UDP statistics\r\n  * Added Linux Sensor names\r\n\r\n* Revision 8\r\n  * Added disk trends\r\n  * Automatically display trends\r\n\r\n* Revision 7\r\n  * Updated Memory Panel\r\n  * Cosmetic changes for playlist usage (CPU, Load, Memory, and Disk on one screen)\r\n\r\n* Revision 6\r\n  * Added Memory Panel\r\n  * Added ssCpuRawGuest, ssCpuRawGuestNice, and ssCpuRawSteal metrics (might require datacollection changes)\r\n\r\n* Revision 5 (Last version with OpenNMS 21.x and Grafana 4.6 support)\r\n  * Added DiskIOIndex (Disk Load)\r\n  * Added Number of users panel\r\n  * Added Number of processes panel\r\n  * Added System uptime panel\r\n  * Added Top row with Load, #Users, #Process, Uptime\r\n  * Merged Swap statistics and TCP statistics\r\n\r\n* Revision 4\r\n  * Added LM Sensor data\r\n  * Beautified interface and hrStorage names\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"opennms-helm-performance-datasource","privacy":"public","createdAt":"2018-03-19T23:27:51.000Z","updatedAt":"2020-03-07T14:37:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/5148"},{"rel":"revisions","href":"/dashboards/5148/revisions"},{"rel":"revision","href":"/dashboards/5148/revisions/10"},{"rel":"download","href":"/dashboards/5148/revisions/10/download"},{"rel":"org","href":"/orgs/dss"},{"rel":"images","href":"/dashboards/5148/images"},{"rel":"thumbnails","href":"/dashboards/5148/thumbnails"}],"datasourceSlugs":["opennms-helm-performance-datasource"]},{"id":7888,"status":1,"statusCode":"active","orgId":132087,"orgSlug":"dss","orgName":"Danny Sonnenschein","slug":"opennms-business-service-availability","downloads":409,"revisionId":10735,"revision":1,"name":"OpenNMS Business Service Availability","description":"Display the availiability of Business Services from OpenNMS including drill down.","readme":"This dashboard displays the availability of Business Services from OpenNMS. It is based on the Business Service events stored in OpenNMS's PostgresSQL database. It includes a basic drill down for that.\r\n\r\n# Configuration\r\n\r\nCreate a PostgreSQL datasource pointing to OpenNMS's database prior to importing this dashboard. The user need at least `SELECT` access to `alarms`, `events`, and `bsm_service`.\r\n\r\n# Known limitations\r\n\r\nPlease note, that only Business Services with Business Service events in the selected time frame are displayed!","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2018-09-08T14:43:41.000Z","updatedAt":"2018-09-13T22:06:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7888"},{"rel":"revisions","href":"/dashboards/7888/revisions"},{"rel":"revision","href":"/dashboards/7888/revisions/1"},{"rel":"download","href":"/dashboards/7888/revisions/1/download"},{"rel":"org","href":"/orgs/dss"},{"rel":"images","href":"/dashboards/7888/images"},{"rel":"thumbnails","href":"/dashboards/7888/thumbnails"}]},{"id":8547,"status":1,"statusCode":"active","orgId":107170,"orgSlug":"indigo423","orgName":"opennms-community","slug":"opennms-cassandra-performance-dashboard","downloads":1202,"revisionId":32870,"revision":3,"name":"OpenNMS Cassandra Performance Dashboard","description":"Generic Cassandra statistics collected with OpenNMS Horizon/Meridian using JMX data collection.","readme":"Generic Cassandra statistics collected with OpenNMS Horizon/Meridian using JMX data collection. The dashboard is tested with the shipped build-in data collection configuration for the JMX-Cassandra service.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"OpenNMS Performance","privacy":"public","createdAt":"2018-10-23T13:25:44.000Z","updatedAt":"2024-05-23T19:25:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8547"},{"rel":"revisions","href":"/dashboards/8547/revisions"},{"rel":"revision","href":"/dashboards/8547/revisions/3"},{"rel":"download","href":"/dashboards/8547/revisions/3/download"},{"rel":"org","href":"/orgs/indigo423"},{"rel":"images","href":"/dashboards/8547/images"},{"rel":"thumbnails","href":"/dashboards/8547/thumbnails"}],"datasourceSlugs":["opennms-performance-datasource"]},{"id":6048,"status":1,"statusCode":"active","orgId":132087,"orgSlug":"dss","orgName":"Danny Sonnenschein","slug":"opennms-database-postgresql","downloads":474,"revisionId":8235,"revision":1,"name":"OpenNMS Database (PostgreSQL)","description":"OpenNMS database performance monitoring","readme":"Dashboard to monitor PostgreSQL performance for OpenNMS.\r\n\r\nThis needs a PostgreSQL datasource, which is not part of OpenNMS Helm!\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2018-05-11T20:27:37.000Z","updatedAt":"2018-05-11T20:42:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6048"},{"rel":"revisions","href":"/dashboards/6048/revisions"},{"rel":"revision","href":"/dashboards/6048/revisions/1"},{"rel":"download","href":"/dashboards/6048/revisions/1/download"},{"rel":"org","href":"/orgs/dss"},{"rel":"images","href":"/dashboards/6048/images"},{"rel":"thumbnails","href":"/dashboards/6048/thumbnails"}]},{"id":6051,"status":1,"statusCode":"active","orgId":132087,"orgSlug":"dss","orgName":"Danny Sonnenschein","slug":"opennms-event-maintenance","downloads":484,"revisionId":8823,"revision":2,"name":"OpenNMS Event Maintenance","description":"Visualize events stored by OpenNMS in PostgreSQL","readme":"### Installation\r\n\r\nCreate a PostgreSQL datasource for the OpenNMS PostgreSQL database. The user needs SELECT access to the opennms schema.\r\n\r\n### Changelog\r\n\r\n  * Revision 2\r\n    * Backport for Grafana 4.6.0","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2018-05-11T23:44:12.000Z","updatedAt":"2018-06-13T08:38:31.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6051"},{"rel":"revisions","href":"/dashboards/6051/revisions"},{"rel":"revision","href":"/dashboards/6051/revisions/2"},{"rel":"download","href":"/dashboards/6051/revisions/2/download"},{"rel":"org","href":"/orgs/dss"},{"rel":"images","href":"/dashboards/6051/images"},{"rel":"thumbnails","href":"/dashboards/6051/thumbnails"}]},{"id":10220,"status":1,"statusCode":"active","orgId":132087,"orgSlug":"dss","orgName":"Danny Sonnenschein","slug":"opennms-generic-service-performance","downloads":337,"revisionId":14288,"revision":1,"name":"OpenNMS Generic Service Performance","description":"Display averages and graphs for a single service","readme":"Generic OpenNMS service performance report. You'll might want to add your services to the $service variable.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"opennms-helm-performance-datasource","privacy":"public","createdAt":"2019-05-17T06:22:05.000Z","updatedAt":"2019-05-17T06:23:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10220"},{"rel":"revisions","href":"/dashboards/10220/revisions"},{"rel":"revision","href":"/dashboards/10220/revisions/1"},{"rel":"download","href":"/dashboards/10220/revisions/1/download"},{"rel":"org","href":"/orgs/dss"},{"rel":"images","href":"/dashboards/10220/images"},{"rel":"thumbnails","href":"/dashboards/10220/thumbnails"}],"datasourceSlugs":["opennms-helm-performance-datasource"]},{"id":5776,"status":1,"statusCode":"active","orgId":107270,"orgSlug":"mfuhrmann","orgName":"mfuhrmann","slug":"opennms-generic-ups-stats","downloads":431,"revisionId":10236,"revision":2,"name":"OpenNMS Generic UPS Stats","description":"","readme":"* Works with any UPS which provides metrics on standard OIDs\r\n* Change UPS variable in \"Templating\" menu to grep your UPS devices","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"opennms-helm-performance-datasource","privacy":"public","createdAt":"2018-04-24T13:20:54.000Z","updatedAt":"2018-08-13T18:13:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5776"},{"rel":"revisions","href":"/dashboards/5776/revisions"},{"rel":"revision","href":"/dashboards/5776/revisions/2"},{"rel":"download","href":"/dashboards/5776/revisions/2/download"},{"rel":"org","href":"/orgs/mfuhrmann"},{"rel":"images","href":"/dashboards/5776/images"},{"rel":"thumbnails","href":"/dashboards/5776/thumbnails"}],"datasourceSlugs":["opennms-helm-performance-datasource"]},{"id":4046,"status":1,"statusCode":"active","orgId":107270,"orgSlug":"mfuhrmann","orgName":"mfuhrmann","slug":"opennms-jvm-metrics","downloads":624,"revisionId":13419,"revision":5,"name":"OpenNMS JVM Metrics","description":"","readme":"If you find errors or have enhancements, feel free to create a pull request in our Github repo: https://github.com/opennms-forge/grafana-dashboards/tree/master/OpenNMS-JVM-Metrics","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"opennms-helm-performance-datasource","privacy":"public","createdAt":"2017-12-18T18:49:07.000Z","updatedAt":"2019-01-14T22:25:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4046"},{"rel":"revisions","href":"/dashboards/4046/revisions"},{"rel":"revision","href":"/dashboards/4046/revisions/5"},{"rel":"download","href":"/dashboards/4046/revisions/5/download"},{"rel":"org","href":"/orgs/mfuhrmann"},{"rel":"images","href":"/dashboards/4046/images"},{"rel":"thumbnails","href":"/dashboards/4046/thumbnails"}],"datasourceSlugs":["opennms-helm-performance-datasource"]},{"id":6073,"status":1,"statusCode":"active","orgId":107270,"orgSlug":"mfuhrmann","orgName":"mfuhrmann","slug":"opennms-linux-node-performance-multirow","downloads":640,"revisionId":32790,"revision":7,"name":"OpenNMS Linux Node Performance (multirow)","description":"Important linux system metrics at a glance","readme":"* Compare nodes easily using the multi row option\r\n* Nodes get selected by using the nodeFilter: nodeSysOID LIKE '.1.3.6.1.4.1.8072.3.2.10' & serviceName like 'SNMP'\r\n* Memory statistics graph is configured to use the new memory definition. See here: https://askubuntu.com/questions/770108/what-do-the-changes-in-free-output-from-14-04-to-16-04-mean\r\n* netsnmp 5.7.3 is required on client side because of ssCpuNumCpus metric for load graph\r\n\r\nIf you find errors or have enhancements, feel free to create a pull request in our Github repo: https://github.com/opennms-forge/grafana-dashboards/tree/master/Linux-Performance-Multirow","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"OpenNMS Performance","privacy":"public","createdAt":"2018-05-14T16:00:26.000Z","updatedAt":"2024-05-16T20:06:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6073"},{"rel":"revisions","href":"/dashboards/6073/revisions"},{"rel":"revision","href":"/dashboards/6073/revisions/7"},{"rel":"download","href":"/dashboards/6073/revisions/7/download"},{"rel":"org","href":"/orgs/mfuhrmann"},{"rel":"images","href":"/dashboards/6073/images"},{"rel":"thumbnails","href":"/dashboards/6073/thumbnails"}],"datasourceSlugs":["opennms-performance-datasource"]},{"id":6070,"status":1,"statusCode":"active","orgId":107270,"orgSlug":"mfuhrmann","orgName":"mfuhrmann","slug":"opennms-linux-node-level-performance-data","downloads":627,"revisionId":32793,"revision":10,"name":"OpenNMS Linux Node-level Performance Data","description":"Grafana pendant for Node-Level Performance Data KSC graphs","readme":"* See all Linux node metrics in one dashboard\r\n* Nodes get selected by using the nodeFilter: nodeSysOID LIKE '.1.3.6.1.4.1.8072.3.2.10' & serviceName like 'SNMP'\r\n* Memory statistics graph is configured to use the new memory definition. See here: https://askubuntu.com/questions/770108/what-do-the-changes-in-free-output-from-14-04-to-16-04-mean\r\n* netsnmp 5.7.3 is required on client side because of ssCpuNumCpus metric for load graph\r\n* Uptime graph is set to 4 weeks range to get an idea if reboots happend\r\n\r\nIf you find errors or have enhancements, feel free to create a pull request in our Github repo: https://github.com/opennms-forge/grafana-dashboards/tree/master/Linux-Performance-Node-Level","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"OpenNMS Performance","privacy":"public","createdAt":"2018-05-14T15:56:37.000Z","updatedAt":"2024-05-16T20:11:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6070"},{"rel":"revisions","href":"/dashboards/6070/revisions"},{"rel":"revision","href":"/dashboards/6070/revisions/10"},{"rel":"download","href":"/dashboards/6070/revisions/10/download"},{"rel":"org","href":"/orgs/mfuhrmann"},{"rel":"images","href":"/dashboards/6070/images"},{"rel":"thumbnails","href":"/dashboards/6070/thumbnails"}],"datasourceSlugs":["opennms-performance-datasource"]},{"id":5754,"status":1,"statusCode":"active","orgId":132087,"orgSlug":"dss","orgName":"Danny Sonnenschein","slug":"opennms-minion","downloads":416,"revisionId":8187,"revision":2,"name":"OpenNMS Minion","description":"Combines OpenNMS Minion statistics from JMX-Minion and SNMP data collection","readme":"This dashboard shows metrics gathered from OpenNMS Minion using JMX and SNMP. An SNMP service has to be added to the minion node (i.e. on the localhost interface).\r\n\r\nTo gather (and see) JMX Garbage collection details, you'll have to add\r\n\r\n            <mbean name=\"JVM GarbageCollector:PS MarkSweep\" objectname=\"java.lang:type=GarbageCollector,name=PS MarkSweep\">\r\n               <attrib name=\"CollectionCount\" alias=\"PSMSCollCnt\" type=\"counter\"/>\r\n               <attrib name=\"CollectionTime\" alias=\"PSMSCollTime\" type=\"counter\"/>\r\n               <comp-attrib name=\"LastGcInfo\" alias=\"PSMSLastGcInfo\" type=\"Composite\">\r\n                  <comp-member name=\"GcThreadCount\" alias=\"PSMSGcThreadCnt\" type=\"gauge\"/>\r\n                  <comp-member name=\"duration\" alias=\"PSMSDuration\" type=\"gauge\"/>\r\n                  <comp-member name=\"endTime\" alias=\"PSMSEndTime\" type=\"gauge\"/>\r\n               </comp-attrib>\r\n            </mbean>\r\n            <mbean name=\"JVM GarbageCollector:PS Scavenge\" objectname=\"java.lang:type=GarbageCollector,name=PS Scavenge\">\r\n               <attrib name=\"CollectionCount\" alias=\"PSSCollCnt\" type=\"counter\"/>\r\n               <attrib name=\"CollectionTime\" alias=\"PSSCollTime\" type=\"counter\"/>\r\n               <comp-attrib name=\"LastGcInfo\" alias=\"PSSLastGcInfo\" type=\"Composite\">\r\n                  <comp-member name=\"GcThreadCount\" alias=\"PSSGcThreadCnt\" type=\"gauge\"/>\r\n                  <comp-member name=\"duration\" alias=\"PSSDuration\" type=\"gauge\"/>\r\n                  <comp-member name=\"endTime\" alias=\"PSSEndTime\" type=\"gauge\"/>\r\n               </comp-attrib>\r\n            </mbean>\r\n\r\nto /etc/opennms/jmx-datacollection.d/minion.xml\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"opennms-helm-performance-datasource","privacy":"public","createdAt":"2018-04-23T21:52:23.000Z","updatedAt":"2018-05-15T18:49:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5754"},{"rel":"revisions","href":"/dashboards/5754/revisions"},{"rel":"revision","href":"/dashboards/5754/revisions/2"},{"rel":"download","href":"/dashboards/5754/revisions/2/download"},{"rel":"org","href":"/orgs/dss"},{"rel":"images","href":"/dashboards/5754/images"},{"rel":"thumbnails","href":"/dashboards/5754/thumbnails"}],"datasourceSlugs":["opennms-helm-performance-datasource"]},{"id":5053,"status":1,"statusCode":"active","orgId":107170,"orgSlug":"indigo423","orgName":"opennms-community","slug":"opennms-network-interfaces-report","downloads":2600,"revisionId":35826,"revision":6,"name":"OpenNMS Network Interfaces Report","description":"OpenNMS statistics about network interfaces with Standard MIB 2 metrics.","readme":"This report gives an overview about network interfaces supported by the SNMP MIB-2 standard and shows the following metrics:\r\n\r\n* Interface throughput in bits/sec\r\n* Interface bandwidth in percentage\r\n* Packet statistics for Errors and Discard\r\n* Statistics about the transmitted packet types for Unicast, Multicast and Broadcast\r\n\r\nReport source available in our [Grafana Dashboard GitHub Repository](https://github.com/opennms-forge/grafana-dashboards).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"OpenNMS Performance","privacy":"public","createdAt":"2018-03-12T21:06:04.000Z","updatedAt":"2025-01-17T13:53:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5053"},{"rel":"revisions","href":"/dashboards/5053/revisions"},{"rel":"revision","href":"/dashboards/5053/revisions/6"},{"rel":"download","href":"/dashboards/5053/revisions/6/download"},{"rel":"org","href":"/orgs/indigo423"},{"rel":"images","href":"/dashboards/5053/images"},{"rel":"thumbnails","href":"/dashboards/5053/thumbnails"}],"datasourceSlugs":["opennms-performance-datasource"]},{"id":8535,"status":1,"statusCode":"active","orgId":107170,"orgSlug":"indigo423","orgName":"opennms-community","slug":"opennms-newts-performance-dashboard","downloads":1131,"revisionId":32871,"revision":3,"name":"OpenNMS Newts Performance Dashboard","description":"Performance data dashboard for [Newts](https://newts.io) time series name space on Cassandra.","readme":"Performance data dashboard for [Newts](https://newts.io) time series name space on Cassandra collected with OpenNMS Horizon/Meridian using JMX. Data collection configuration and Grafana Dashboard source is available in a public [GitHub repository](https://github.com/opennms-config-modules/newts.git).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"OpenNMS Performance","privacy":"public","createdAt":"2018-10-22T15:01:47.000Z","updatedAt":"2024-05-23T19:27:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8535"},{"rel":"revisions","href":"/dashboards/8535/revisions"},{"rel":"revision","href":"/dashboards/8535/revisions/3"},{"rel":"download","href":"/dashboards/8535/revisions/3/download"},{"rel":"org","href":"/orgs/indigo423"},{"rel":"images","href":"/dashboards/8535/images"},{"rel":"thumbnails","href":"/dashboards/8535/thumbnails"}],"datasourceSlugs":["opennms-performance-datasource"]},{"id":5921,"status":1,"statusCode":"active","orgId":107170,"orgSlug":"indigo423","orgName":"opennms-community","slug":"opennms-outage-dashboard","downloads":3062,"revisionId":39311,"revision":12,"name":"OpenNMS Outage Dashboard","description":"Dashboard which shows current outages from Nodes, Interfaces and Services in selected Surveillance Categories.","readme":"Show availability and alarms from Business Services, Nodes, IP interfaces, and Services. The dashboard requires the Grafana PostgreSQL data source.\r\n\r\nTested with Grafana 12.3.0 and OpenNMS Horizon 35.0.0\r\n\r\nReport source available in our [Grafana Dashboard GitHub Repository](https://github.com/opennms-forge/grafana-dashboards).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2018-05-03T19:57:59.000Z","updatedAt":"2025-12-12T11:22:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5921"},{"rel":"revisions","href":"/dashboards/5921/revisions"},{"rel":"revision","href":"/dashboards/5921/revisions/12"},{"rel":"download","href":"/dashboards/5921/revisions/12/download"},{"rel":"org","href":"/orgs/indigo423"},{"rel":"images","href":"/dashboards/5921/images"},{"rel":"thumbnails","href":"/dashboards/5921/thumbnails"}]},{"id":8499,"status":1,"statusCode":"active","orgId":107170,"orgSlug":"indigo423","orgName":"opennms-community","slug":"outage-statistics","downloads":1488,"revisionId":12268,"revision":4,"name":"OpenNMS Outage Statistics","description":"Statistics about current outages with calculated availability and mean time to restore service in a custom time frame.","readme":"For users, until Horizon 21.1.0 these views need to be added manually into the database. If you have Horizon 24.0.0+ these views come preinstalled with the default database scheme.\r\n\r\n* [node_alarms_view.sql](https://gist.github.com/indigo423/7926424df459cd3fa1ace504856567c8)\r\n* [node_ip_services_view.sql](https://gist.github.com/indigo423/e327753c950e9a9a3097bc0ef0cbc4b3)\r\n* [node_outages_view.sql](https://gist.github.com/indigo423/306758499244dbda0792998c339d0c38)\r\n* [node_categories_view.sql](https://gist.github.com/indigo423/49301465e65367b2ac38b9b8fc21871c)\r\n\r\nHint: These views will be available in Horizon 24+.\r\nDetails and discussions please in our [OpenNMS public wiki](https://wiki.opennms.org/wiki/Proposals/Outage_Visualization) or [Chat](https://chat.opennms.org/opennms-discuss)\r\n\r\nReport source available in our [Grafana Dashboard GitHub Repository](https://github.com/opennms-forge/grafana-dashboards).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2018-10-22T12:34:56.000Z","updatedAt":"2022-10-19T10:16:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8499"},{"rel":"revisions","href":"/dashboards/8499/revisions"},{"rel":"revision","href":"/dashboards/8499/revisions/4"},{"rel":"download","href":"/dashboards/8499/revisions/4/download"},{"rel":"org","href":"/orgs/indigo423"},{"rel":"images","href":"/dashboards/8499/images"},{"rel":"thumbnails","href":"/dashboards/8499/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":5915,"status":1,"statusCode":"active","orgId":107170,"orgSlug":"indigo423","orgName":"opennms-community","slug":"opennms-outage-wallboard","downloads":752,"revisionId":32866,"revision":7,"name":"OpenNMS Outage Wallboard","description":"Information for about current alarms, outages, ​and affected business services from OpenNMS Horizon.","readme":"For users, until Horizon 21.1.0 these views need to be added manually into the database. If you have Horizon 24.0.0+ these views come preinstalled with the default database scheme.\r\n\r\n* [node_alarms_view.sql](https://gist.github.com/indigo423/7926424df459cd3fa1ace504856567c8)\r\n* [node_ip_services_view.sql](https://gist.github.com/indigo423/e327753c950e9a9a3097bc0ef0cbc4b3)\r\n* [node_outages_view.sql](https://gist.github.com/indigo423/306758499244dbda0792998c339d0c38)\r\n* [node_categories_view.sql](https://gist.github.com/indigo423/49301465e65367b2ac38b9b8fc21871c)\r\n\r\nDetails and discussions please in our [OpenNMS public wiki](https://wiki.opennms.org/wiki/Proposals/Outage_Visualization) or [Chat](https://chat.opennms.org/opennms-discuss)\r\n\r\nReport source available in our [Grafana Dashboard GitHub Repository](https://github.com/opennms-forge/grafana-dashboards).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL, OpenNMS 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Add the following job to your Prometheus configuration:\r\n\r\n```yaml\r\nscrape_configs:\r\n  - job_name: 'openresty-operator'\r\n    kubernetes_sd_configs:\r\n      - role: pod\r\n    relabel_configs:\r\n      - source_labels: [__meta_kubernetes_pod_label_app]\r\n        action: keep\r\n        regex: openresty-operator\r\n      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape]\r\n        action: keep\r\n        regex: \"true\"\r\n      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_path]\r\n        action: replace\r\n        target_label: __metrics_path__\r\n        regex: (.+)\r\n      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_port]\r\n        action: replace\r\n        target_label: __address__\r\n        regex: (.+)\r\n","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-24T12:40:23.000Z","updatedAt":"2025-05-04T12:02:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23321"},{"rel":"revisions","href":"/dashboards/23321/revisions"},{"rel":"revision","href":"/dashboards/23321/revisions/3"},{"rel":"download","href":"/dashboards/23321/revisions/3/download"},{"rel":"org","href":"/orgs/zehonghongframehuang"},{"rel":"images","href":"/dashboards/23321/images"},{"rel":"thumbnails","href":"/dashboards/23321/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19504,"status":1,"statusCode":"active","orgId":439209,"orgSlug":"johan11","orgName":"johan11","slug":"opensearch","downloads":2533,"revisionId":29930,"revision":1,"name":"OpenSearch","description":"OpenSearch cluster stats. 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cluster monitoring with OpenSearch Prometheus Exporter and Node Exporter","readme":"This is a K8s version of the Opensearch Prometheus Dashboard here:\r\n\r\nhttps://grafana.com/grafana/dashboards/15178-opensearch-prometheus/\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-17T17:09:44.000Z","updatedAt":"2023-04-27T17:01:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18547"},{"rel":"revisions","href":"/dashboards/18547/revisions"},{"rel":"revision","href":"/dashboards/18547/revisions/4"},{"rel":"download","href":"/dashboards/18547/revisions/4/download"},{"rel":"org","href":"/orgs/ahkui"},{"rel":"images","href":"/dashboards/18547/images"},{"rel":"thumbnails","href":"/dashboards/18547/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17861,"status":1,"statusCode":"active","orgId":583447,"orgSlug":"archie2022","orgName":"archie2022","slug":"opensearch-prometheus","downloads":1729,"revisionId":27391,"revision":1,"name":"OpenSearch Prometheus v2","description":"OpenSearch cluster monitoring with OpenSearch Prometheus Exporter and Node Exporter","readme":"This is a revision v3 of the **Opensearch Prometheus** Dashboard here:\r\n\r\n[https://grafana.com/grafana/dashboards/15178-opensearch-prometheus/](https://grafana.com/grafana/dashboards/15178-opensearch-prometheus/)\r\n\r\nI fixed it, there was a different query in the variable **“job”** regarding the label value:\r\n\r\n**Before:** label_values(node_uname_info{job=~\".kubernetes.|.node_exporters.\"}, job)\r\n\r\n**After:** label_values(node_uname_info{job=~\".kubernetes.|.node-exporter.\"}, job)\r\n\r\nThe wrong variable was also invalidating “nodename” and “node” variables as well because they referenced each other.\r\n\r\nAdditionally, I removed the following views related to K8s:\r\n- Total Memory\r\n- Total Memory Free\r\n- Total Memory Available\r\n\r\nChanged:\r\n- Total Disk Available (Related to Opensearch cluster nodes)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-01-11T14:42:30.000Z","updatedAt":"2023-01-12T13:43:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17861"},{"rel":"revisions","href":"/dashboards/17861/revisions"},{"rel":"revision","href":"/dashboards/17861/revisions/1"},{"rel":"download","href":"/dashboards/17861/revisions/1/download"},{"rel":"org","href":"/orgs/archie2022"},{"rel":"images","href":"/dashboards/17861/images"},{"rel":"thumbnails","href":"/dashboards/17861/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24812,"status":1,"statusCode":"active","orgId":891964,"orgSlug":"callcorp","orgName":"CallCorp","slug":"opensearch-reporting-cluster","downloads":32,"revisionId":40824,"revision":2,"name":"OpenSearch Reporting Cluster","description":"OpenSearch cluster monitoring with OpenSearch Prometheus Exporter and Node Exporter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB, Prometheus","privacy":"public","createdAt":"2026-02-06T16:52:12.000Z","updatedAt":"2026-05-20T15:04:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24812"},{"rel":"revisions","href":"/dashboards/24812/revisions"},{"rel":"revision","href":"/dashboards/24812/revisions/2"},{"rel":"download","href":"/dashboards/24812/revisions/2/download"},{"rel":"org","href":"/orgs/callcorp"},{"rel":"images","href":"/dashboards/24812/images"},{"rel":"thumbnails","href":"/dashboards/24812/thumbnails"}],"datasourceSlugs":["influxdb","prometheus"]},{"id":12487,"status":1,"statusCode":"active","orgId":264294,"orgSlug":"srvmsr","orgName":"srvmsr","slug":"openshift-persistent-volumes","downloads":2417,"revisionId":17914,"revision":2,"name":"Openshift / Persistent Volumes","description":"volume usage","readme":"A simple pvc volume status checker dashboard for openshift","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2020-06-17T15:45:53.000Z","updatedAt":"2020-06-17T15:50:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12487"},{"rel":"revisions","href":"/dashboards/12487/revisions"},{"rel":"revision","href":"/dashboards/12487/revisions/2"},{"rel":"download","href":"/dashboards/12487/revisions/2/download"},{"rel":"org","href":"/orgs/srvmsr"},{"rel":"images","href":"/dashboards/12487/images"},{"rel":"thumbnails","href":"/dashboards/12487/thumbnails"}]},{"id":3657,"status":1,"statusCode":"active","orgId":97308,"orgSlug":"mrsiano","orgName":"mrsiano","slug":"openshift-cluster-monitoring","downloads":2713,"revisionId":5028,"revision":1,"name":"openshift cluster monitoring","description":"Monitors Openshift cluster using prometheus. shows overall resources, compatible only with https://github.com/mrsiano/grafana-ocp","readme":"first visit here https://github.com/mrsiano/grafana-ocp, in order to deploy grafana for openshift, and make sure to crate a data source.\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-11-09T11:30:35.000Z","updatedAt":"2017-11-09T11:47:25.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3657"},{"rel":"revisions","href":"/dashboards/3657/revisions"},{"rel":"revision","href":"/dashboards/3657/revisions/1"},{"rel":"download","href":"/dashboards/3657/revisions/1/download"},{"rel":"org","href":"/orgs/mrsiano"},{"rel":"images","href":"/dashboards/3657/images"},{"rel":"thumbnails","href":"/dashboards/3657/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23987,"status":1,"statusCode":"active","orgId":1523659,"orgSlug":"alexgdmx","orgName":"alexgdmx","slug":"cost-management-metrics-pod-usage-memory","downloads":550,"revisionId":38748,"revision":3,"name":"OpenShift Cost Management Metrics - Pod Usage Memory z/VM LinuxOne","description":"OpenShift Cost Management Metrics - Pod Usage Memory, metrics provided by Python with InfluxDB package from Prometheus to InfluxDB. z/VM Red Hat OpenShift RHOCP IBM LinuxOne","readme":"OpenShift Cost Management Metrics - Pod Usage Memory, metrics provided by Python with InfluxDB package from Prometheus to InfluxDB. z/VM Red Hat OpenShift RHOCP IBM LinuxOne","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-09-01T16:16:48.000Z","updatedAt":"2025-11-24T16:26:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23987"},{"rel":"revisions","href":"/dashboards/23987/revisions"},{"rel":"revision","href":"/dashboards/23987/revisions/3"},{"rel":"download","href":"/dashboards/23987/revisions/3/download"},{"rel":"org","href":"/orgs/alexgdmx"},{"rel":"images","href":"/dashboards/23987/images"},{"rel":"thumbnails","href":"/dashboards/23987/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24275,"status":1,"statusCode":"active","orgId":1523659,"orgSlug":"alexgdmx","orgName":"alexgdmx","slug":"cost-management-metrics-uaid-memory-usage","downloads":89,"revisionId":38749,"revision":1,"name":"OpenShift Cost Management Metrics UAID Memory Usage z/VM LinuxOne","description":"OpenShift Cost Management Metrics UAID Memory Usage, metrics provided by Python with InfluxDB package from Prometheus to InfluxDB. z/VM Red Hat OpenShift RHOCP IBM LinuxOne","readme":"OpenShift Cost Management Metrics UAID Memory Usage, metrics provided by Python with InfluxDB package from Prometheus to InfluxDB. z/VM Red Hat OpenShift RHOCP IBM LinuxOne","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-10-23T02:05:03.000Z","updatedAt":"2025-11-24T16:26:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24275"},{"rel":"revisions","href":"/dashboards/24275/revisions"},{"rel":"revision","href":"/dashboards/24275/revisions/1"},{"rel":"download","href":"/dashboards/24275/revisions/1/download"},{"rel":"org","href":"/orgs/alexgdmx"},{"rel":"images","href":"/dashboards/24275/images"},{"rel":"thumbnails","href":"/dashboards/24275/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23006,"status":1,"statusCode":"active","orgId":100670,"orgSlug":"burakkazoglu","orgName":"burakkazoglu","slug":"openshift-gitops-dashboard","downloads":698,"revisionId":36330,"revision":1,"name":"Openshift GitOps (ArgoCD) Dashboard","description":"Monitor ArgoCD applications on OpenShift, including sync status, memory/CPU usage, gRPC calls, errors, and repositories using Grafana.","readme":"Openshift GitOps (ArgoCD) Dashboard - V1\r\n\r\n📌 DESCRIPTION\r\n\r\nThis OpenShift GitOps Dashboard is designed to monitor ArgoCD applications’ synchronization status, memory & CPU usage, gRPC calls, error codes, and repository management using Grafana. Failed Syncs, application health status, and critical ArgoCD indicators are analyzed in detail on this dashboard.\r\n\r\n🛠 INCLUDED PANELS\r\n- ⏳ UPTIME → Shows how long the ArgoCD server has been running.\r\n- 📦 APPLICATIONS → Lists ArgoCD applications running on OpenShift.\r\n- 🔗 REPOSITORIES → Tracks Git repositories connected to ArgoCD.\r\n- 🔄 SYNC STATUS → Displays application synchronization status (Synced, OutOfSync, Error, etc.).\r\n- ❤️ HEALTH STATUS → Shows the health status of applications (Healthy, Degraded, Missing, etc.).\r\n- 📋 ARGOCD APPLICATIONS SYNC STATUS → Provides a table view of applications and their synchronization status.\r\n- 🔄 SYNC SUCCESS VS FAILURES (24H) → Compares successful vs. failed syncs in the last 24 hours.\r\n- 🔥 ARGOCD CPU & MEMORY USAGE → Measures the memory and CPU usage of the ArgoCD server.\r\n- 📡 OPENSHIFT API REQUEST LATENCY (HAPROXY) → Monitors OpenShift API request latency.\r\n- 📊 GRPC CALLS & ERRORS → Shows detailed gRPC calls and error codes for ArgoCD.\r\n- 📋 AUTO-SYNC STATUS → Displays ArgoCD's auto-sync status.\r\n- 🛠 REDIS & GIT REQUESTS → Monitors Redis and Git requests made by ArgoCD.\r\n\r\n🚀 SETUP & USAGE\r\n1. Go to the \"Dashboards\" section in Grafana\r\n2. Select the \"Import\" option\r\n3. Upload the JSON file or paste its content\r\n4. Select your data source (Prometheus)\r\n5. Save the dashboard and start monitoring!\r\n\r\n\r\n🔗 GITHUB REPOSITORY\r\nFor updates, contributions, and issue tracking, visit:  \r\n[OpenShift GitOps Dashboard on GitHub](https://github.com/burakkazoglu/openshift-gitops-dashboard)\r\n\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-03-02T15:59:29.000Z","updatedAt":"2025-03-02T20:42:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23006"},{"rel":"revisions","href":"/dashboards/23006/revisions"},{"rel":"revision","href":"/dashboards/23006/revisions/1"},{"rel":"download","href":"/dashboards/23006/revisions/1/download"},{"rel":"org","href":"/orgs/burakkazoglu"},{"rel":"images","href":"/dashboards/23006/images"},{"rel":"thumbnails","href":"/dashboards/23006/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5273,"status":1,"statusCode":"active","orgId":71009,"orgSlug":"wkulhanek","orgName":"wkulhanek","slug":"openshift-metrics","downloads":1270,"revisionId":7028,"revision":1,"name":"OpenShift Metrics","description":"Metrics Dashboard for use with https://github.com/wkulhanek/openshift-prometheus","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-03-27T17:50:42.000Z","updatedAt":"2018-03-27T17:51:16.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5273"},{"rel":"revisions","href":"/dashboards/5273/revisions"},{"rel":"revision","href":"/dashboards/5273/revisions/1"},{"rel":"download","href":"/dashboards/5273/revisions/1/download"},{"rel":"org","href":"/orgs/wkulhanek"},{"rel":"images","href":"/dashboards/5273/images"},{"rel":"thumbnails","href":"/dashboards/5273/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9827,"status":1,"statusCode":"active","orgId":102573,"orgSlug":"lsd","orgName":"lsd","slug":"openshift-overview","downloads":1889,"revisionId":13685,"revision":1,"name":"Openshift Overview v2.0","description":"New Dashboard for K8/OKD/OCP > 3.7","readme":"This dashboards does alerting, elasticsearch indices sizes, etcd stuff, capacity utilization, general node stuff, CPU throttling.\nOh, and you need the Pie Chart plugin. I like pie.\n\nYou will need the elaticsearch exporter, and some other stuff I can't remember right now\n\nHere is my ConfigMap for Prometheus\nAdjust host names appropriately.\nCreate your own ConfigMap for the etcd certficates\n\n```\napiVersion: v1\ndata:\n  prometheus.yml: |+\n    global:\n      scrape_interval: 30s\n      evaluation_interval: 30s\n\n    scrape_configs:\n      - job_name: 'kubernetes-controllers'\n        scheme: https\n        tls_config:\n          ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt\n        bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token\n        kubernetes_sd_configs:\n        - role: endpoints\n          namespaces:\n            names:\n            - default\n        relabel_configs:\n        - source_labels: [__meta_kubernetes_service_name, __meta_kubernetes_endpoint_port_name]\n          action: keep\n          regex: kubernetes;https\n        - source_labels: [__address__]\n          action: replace\n          target_label: __address__\n          regex: (.+)(?::\\d+)\n          replacement: $1:8444\n\n      - job_name: 'kubernetes-nodes'\n        scheme: https\n        tls_config:\n          ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt\n        bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token\n        kubernetes_sd_configs:\n        - role: node\n        metric_relabel_configs:\n        - source_labels: [__name__]\n          action: drop\n          regex: 'openshift_sdn_pod_(setup|teardown)_latency(.*)'\n        relabel_configs:\n        - action: labelmap\n          regex: __meta_kubernetes_node_label_(.+)\n\n      - job_name: 'kubernetes-cadvisor'\n        scheme: https\n        tls_config:\n          ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt\n        bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token\n        metrics_path: /metrics/cadvisor\n        kubernetes_sd_configs:\n        - role: node\n        metric_relabel_configs:\n        - source_labels: [__name__]\n          action: drop\n          regex: 'container_(cpu_user_seconds_total|cpu_cfs_periods_total|memory_usage_bytes|memory_swap|memory_cache|last_seen|fs_(read_seconds_total|write_seconds_total|sector_(.*)|io_(.*)|reads_merged_total|writes_merged_total)|tasks_state|memory_failcnt|memory_failures_total|spec_memory_swap_limit_bytes|fs_(.*)_bytes_total|spec_(.*))'\n        relabel_configs:\n        - action: labelmap\n          regex: __meta_kubernetes_node_label_(.+)\n      - job_name: 'kubernetes-service-endpoints'\n        tls_config:\n          ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt\n          insecure_skip_verify: true\n        kubernetes_sd_configs:\n        - role: endpoints\n        relabel_configs:\n        - source_labels: [__meta_kubernetes_namespace]\n          action: keep\n          regex: 'default|logging|metrics|kube-.+|openshift|openshift-.+'\n        - source_labels: [__meta_kubernetes_service_name]\n          action: drop\n          regex: 'prometheus-node-exporter'\n        - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape]\n          action: keep\n          regex: true\n        - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scheme]\n          action: replace\n          target_label: __scheme__\n          regex: (https?)\n        - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_path]\n          action: replace\n          target_label: __metrics_path__\n          regex: (.+)\n        - source_labels: [__address__, __meta_kubernetes_service_annotation_prometheus_io_port]\n          action: replace\n          target_label: __address__\n          regex: (.+)(?::\\d+);(\\d+)\n          replacement: $1:$2\n        - action: labelmap\n          regex: __meta_kubernetes_service_label_(.+)\n        - source_labels: [__meta_kubernetes_namespace]\n          action: replace\n          target_label: kubernetes_namespace\n        - source_labels: [__meta_kubernetes_service_name]\n          action: replace\n          target_label: kubernetes_name\n\n      - job_name: node\n        static_configs:\n          - targets:\n            - \"dcposen01.lsd.co.za:9100\"\n            - \"dcposen02.lsd.co.za:9100\"\n            - \"dcposen03.lsd.co.za:9100\"\n            - \"dcposen04.lsd.co.za:9100\"\n            - \"dcposen05.lsd.co.za:9100\"\n            - \"dcposen06.lsd.co.za:9100\"\n            - \"dcposen07.lsd.co.za:9100\"\n            - \"dcposen08.lsd.co.za:9100\"\n            - \"dcposei01.lsd.co.za:9100\"\n            - \"dcposei02.lsd.co.za:9100\"\n            - \"dcposei03.lsd.co.za:9100\"\n            - \"dcposem02.lsd.co.za:9100\"\n            - \"dcposem03.lsd.co.za:9100\"\n            - \"dcposem01.lsd.co.za:9100\"\n\n      - job_name: kube-state-metrics\n        static_configs:\n          - targets:\n            - \"kube-state-metrics.openshift-monitoring.svc.cluster.local:8080\"\n\n      - job_name: openshift-etcd\n        scheme: https\n        tls_config:\n          ca_file: /etc/prometheus/openshift-etcd-certs/ca.crt\n          cert_file: /etc/prometheus/openshift-etcd-certs/peer.crt\n          key_file: /etc/prometheus/openshift-etcd-certs/peer.key\n          insecure_skip_verify: true\n        static_configs:\n          - targets:\n            - \"172.30.48.31:2379\"\n            - \"172.30.50.15:2379\"\n            - \"172.30.50.16:2379\"\n\n      - job_name: blackbox-exporter\n        metrics_path: /probe\n        params:\n          module: [http_2xx_no_ssl_check]  # Look for a HTTP 200 response.\n        static_configs:\n          - targets:\n            - https://webserver-invest-prod.oseza.lsd.co.za\n            - https://hawkular-metrics.oseza.lsd.co.za\n        relabel_configs:\n          - source_labels: [__address__]\n            target_label: __param_target\n          - source_labels: [__param_target]\n            target_label: instance\n          - target_label: __address__\n            replacement: blackbox-exporter.openshift-monitoring.svc.cluster.local:9115\n\n\n      - job_name: 'tcp_cert_check'\n        scrape_interval: 1h\n        metrics_path: /probe\n        params:\n          module: [tcp_cert]\n        static_configs:\n          - targets:\n            - '172.30.48.31:2379'\n        relabel_configs:\n          - source_labels: [__address__]\n            target_label: __param_target\n          - source_labels: [__param_target]\n            target_label: instance\n          - target_label: __address__\n            replacement: blackbox-exporter.openshift-monitoring.svc.cluster.local:9115\n\n\n      - job_name: blackbox-exporter-ssh\n        metrics_path: /probe\n        params:\n            module: [ssh_banner]\n        static_configs:\n        - targets:\n          - dcposen02.lsd.co.za:22\n          - dcposen03.lsd.co.za:22\n          - dcposen04.lsd.co.za:22\n          - dcposen05.lsd.co.za:22\n          - dcposen06.lsd.co.za:22\n          - dcposen07.lsd.co.za:22\n          - dcposen08.lsd.co.za:22\n          - dcposei01.lsd.co.za:22\n          - dcposei02.lsd.co.za:22\n          - dcposei03.lsd.co.za:22\n          - dcposem02.lsd.co.za:22\n          - dcposem03.lsd.co.za:22\n          - dcposem01.lsd.co.za:22\n        relabel_configs:\n          - source_labels: [__address__]     # Leave this spooky blackbox stuff alone\n            target_label: __param_target     # Stuff breaks otherwise\n          - source_labels: [__param_target]\n            target_label: instance\n          - target_label: __address__\n            replacement: blackbox-exporter.openshift-monitoring.svc.cluster.local:9115\n      - job_name: elasticsearch-exporter\n        static_configs:\n          - targets:\n            - \"elasticsearch-exporter.openshift-monitoring.svc.cluster.local:9108\"\n\nkind: ConfigMap\n```","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch, Prometheus","privacy":"public","createdAt":"2019-02-21T14:14:57.000Z","updatedAt":"2019-02-21T14:40:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":2,"links":[{"rel":"self","href":"/dashboards/9827"},{"rel":"revisions","href":"/dashboards/9827/revisions"},{"rel":"revision","href":"/dashboards/9827/revisions/1"},{"rel":"download","href":"/dashboards/9827/revisions/1/download"},{"rel":"org","href":"/orgs/lsd"},{"rel":"images","href":"/dashboards/9827/images"},{"rel":"thumbnails","href":"/dashboards/9827/thumbnails"}],"datasourceSlugs":["elasticsearch","prometheus"]},{"id":3870,"status":1,"statusCode":"active","orgId":102573,"orgSlug":"lsd","orgName":"lsd","slug":"openshift-k8-cluster-overview","downloads":94471,"revisionId":6044,"revision":6,"name":"Openshift/K8 Cluster Overview","description":"Openshift/K8 Cluster Overview","readme":"You will need to label your servers as follows:\r\n\r\nMaster Servers: role=master\r\n\r\nInfrastructure Severs: role=infra\r\n\r\nApplication/Node Servers: role=app\r\n\r\nThen you will need cAdvisor, kube-state-metrics and node-exporter to get all the info you need.\r\n\r\nhttps://github.com/google/cadvisor\r\n\r\nhttps://github.com/kubernetes/kube-state-metrics\r\n\r\nhttps://github.com/prometheus/node_exporter\r\n\r\nFor all your Openshifters out there, here is a simple setup:\r\n\r\noc new-app google/cadvisor\r\n\r\noc new-app openshift/kube-state-metrics\r\n\r\noc create serviceaccount node-exporter\r\n\r\noc adm policy add-scc-to-user privileged -z node-exporter","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-11-29T09:38:56.000Z","updatedAt":"2018-01-30T07:39:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3870"},{"rel":"revisions","href":"/dashboards/3870/revisions"},{"rel":"revision","href":"/dashboards/3870/revisions/6"},{"rel":"download","href":"/dashboards/3870/revisions/6/download"},{"rel":"org","href":"/orgs/lsd"},{"rel":"images","href":"/dashboards/3870/images"},{"rel":"thumbnails","href":"/dashboards/3870/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6935,"status":1,"statusCode":"active","orgId":167705,"orgSlug":"rubenhoms","orgName":"rubenhoms","slug":"opensips","downloads":1014,"revisionId":12128,"revision":2,"name":"OpenSIPS","description":"","readme":"This dashboard shows everything you'd ever want to know about your OpenSIPS instances! \r\n\r\nIn order to get this dashboard to work you need to collect metrics using the [OpenSIPS exporter](https://github.com/VoIPGRID/opensips_exporter) for [Prometheus](https://prometheus.io/). You can find some examples in the GitHub repo on how to setup the exporter.\r\n\r\nThis dashboard also uses the [node exporter](https://github.com/prometheus/node_exporter/) to show some stats about CPU usage/network usage. The dashboard does work without it though, some graphs will just be empty if you don't use the node exporter.\r\n\r\nThe following graphs are included in the dashboard:\r\n- 'Meta' metrics about exporter CPU/memory usage/uptime.\r\n- OpenSIPS load (CPU/UDP & TCP children processing messages)\r\n- OpenSIPS memory usage (per PID, % free, shared memory, private memory)\r\n- OpenSIPS replies/requests (rate of replies/requests per type)\r\n- OpenSIPS netstat (bytes waiting for consumption, network traffic)\r\n- OpenSIPS dialogs (dialog rate per status, dialogs from other OpenSIPS instances)\r\n- OpenSIPS transactions (transactions reply rate per type, current transactions in memory)\r\n- Kamailio transactions (transactions reply rate per type, current transactions in memory)\r\n- OpenSIPS error rate\r\n- OpenSIPS URI checks rate\r\n- OpenSIPS User Location module (users per domain, user registration rate, users per OpenSIPS process)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2018-07-12T11:54:56.000Z","updatedAt":"2018-11-06T13:23:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/6935"},{"rel":"revisions","href":"/dashboards/6935/revisions"},{"rel":"revision","href":"/dashboards/6935/revisions/2"},{"rel":"download","href":"/dashboards/6935/revisions/2/download"},{"rel":"org","href":"/orgs/rubenhoms"},{"rel":"images","href":"/dashboards/6935/images"},{"rel":"thumbnails","href":"/dashboards/6935/thumbnails"}]},{"id":7924,"status":1,"statusCode":"active","orgId":188905,"orgSlug":"canonicalis","orgName":"canonicalis","slug":"openstack-clouds-jacekn","downloads":1822,"revisionId":10798,"revision":1,"name":"Openstack clouds","description":"This dashboard visualizes data exporter by the Prometheus OpenStack Exporter:\r\nhttps://github.com/CanonicalLtd/prometheus-openstack-exporter","readme":"This dashboard visualizes data exporter by the Prometheus OpenStack Exporter:\r\nhttps://github.com/CanonicalLtd/prometheus-openstack-exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-09-12T14:05:41.000Z","updatedAt":"2018-10-03T15:48:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7924"},{"rel":"revisions","href":"/dashboards/7924/revisions"},{"rel":"revision","href":"/dashboards/7924/revisions/1"},{"rel":"download","href":"/dashboards/7924/revisions/1/download"},{"rel":"org","href":"/orgs/canonicalis"},{"rel":"images","href":"/dashboards/7924/images"},{"rel":"thumbnails","href":"/dashboards/7924/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9701,"status":1,"statusCode":"active","orgId":230581,"orgSlug":"niedbalski","orgName":"niedbalski","slug":"openstack-dashboard","downloads":7933,"revisionId":13489,"revision":1,"name":"OpenStack Dashboard","description":"Openstack dashboard using the Openstack Exporter (https://github.com/Linaro/openstack-exporter)","readme":"Dashboard for presenting metrics gathered from a OpenStack cloud using the exporter https;//github.com/Linaro/openstack-exporter , there are two sections, one for each service agent status and other for usage metrics.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-01-22T19:13:45.000Z","updatedAt":"2019-01-22T19:16:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9701"},{"rel":"revisions","href":"/dashboards/9701/revisions"},{"rel":"revision","href":"/dashboards/9701/revisions/1"},{"rel":"download","href":"/dashboards/9701/revisions/1/download"},{"rel":"org","href":"/orgs/niedbalski"},{"rel":"images","href":"/dashboards/9701/images"},{"rel":"thumbnails","href":"/dashboards/9701/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15645,"status":1,"statusCode":"active","orgId":595663,"orgSlug":"munnaeebd","orgName":"munnaeebd","slug":"cloud-customer","downloads":394,"revisionId":23622,"revision":1,"name":"Openstack Dashboard","description":"Openstack Dashboard with InfluxDB and Monasca\r\n","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-01-30T09:14:46.000Z","updatedAt":"2022-01-30T09:44:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15645"},{"rel":"revisions","href":"/dashboards/15645/revisions"},{"rel":"revision","href":"/dashboards/15645/revisions/1"},{"rel":"download","href":"/dashboards/15645/revisions/1/download"},{"rel":"org","href":"/orgs/munnaeebd"},{"rel":"images","href":"/dashboards/15645/images"},{"rel":"thumbnails","href":"/dashboards/15645/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14854,"status":1,"statusCode":"active","orgId":529758,"orgSlug":"nimbolus","orgName":"nimbolus","slug":"openstack-exporter","downloads":1454,"revisionId":22122,"revision":7,"name":"OpenStack Exporter","description":"Openstack dashboard using the Openstack Exporter (https://github.com/openstack-exporter/openstack-exporter)","readme":"Metrics are collected by the [OpenStack Exporter](https://github.com/openstack-exporter/openstack-exporter).\r\n\r\nThanks to niedbalski for the base version of this dashboard ([link](https://grafana.com/grafana/dashboards/9701)).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-10T09:35:36.000Z","updatedAt":"2021-08-10T14:19:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14854"},{"rel":"revisions","href":"/dashboards/14854/revisions"},{"rel":"revision","href":"/dashboards/14854/revisions/7"},{"rel":"download","href":"/dashboards/14854/revisions/7/download"},{"rel":"org","href":"/orgs/nimbolus"},{"rel":"images","href":"/dashboards/14854/images"},{"rel":"thumbnails","href":"/dashboards/14854/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":1021,"status":1,"statusCode":"active","orgId":37330,"orgSlug":"akrzos","orgName":"akrzos","slug":"openstack-general-system-performance","downloads":1465,"revisionId":6456,"revision":2,"name":"OpenStack General System Performance","description":"","readme":"This dashboard is used to view System Performance with \"typical\" OpenStack Nodes (Controllers, Computes, Deployment Nodes (Undercloud)).  It is built for a collectd/graphite metrics environment.   It is best to actually deploy the dashboards (and collectd configurations) using Browbeat (https://github.com/openstack/browbeat), however you can use the json in here and by modifying the included collectd configuration.","collectorType":"collectd","collectorConfig":"```\r\n# Installed by Browbeat Ansible Installer\r\n# Config type: controller\r\n\r\n# Interval default is 10s\r\nInterval 10\r\n\r\n# Hostname for this machine, if not defined, use gethostname(2) system call\r\n\r\nHostname \"overcloud-controller-0\"\r\n\r\n# Loaded Plugins:\r\nLoadPlugin \"logfile\"\r\n<Plugin \"logfile\">\r\n  LogLevel \"info\"\r\n  File \"/var/log/collectd.log\"\r\n  Timestamp true\r\n</Plugin>\r\n\r\nLoadPlugin write_graphite\r\nLoadPlugin cpu\r\nLoadPlugin conntrack\r\nLoadPlugin df\r\nLoadPlugin disk\r\nLoadPlugin exec\r\nLoadPlugin interface\r\nLoadPlugin irq\r\nLoadPlugin load\r\nLoadPlugin match_regex\r\nLoadPlugin memory\r\nLoadPlugin mysql\r\nLoadPlugin numa\r\nLoadPlugin processes\r\nLoadPlugin swap\r\nLoadPlugin tail\r\nLoadPlugin turbostat\r\nLoadPlugin unixsock\r\nLoadPlugin uptime\r\n\r\n# Open unix domain socket for collectdctl\r\n<Plugin unixsock>\r\n  SocketFile \"/var/run/collectd-unixsock\"\r\n  SocketGroup \"collectd\"\r\n  SocketPerms \"0770\"\r\n  DeleteSocket true\r\n</Plugin>\r\n\r\nPreCacheChain \"PreCache\"\r\n<Chain \"PreCache\">\r\n  <Rule \"ignore_tap\">\r\n    <Match \"regex\">\r\n      Plugin \"^interface$\"\r\n      PluginInstance \"^tap*\"\r\n    </Match>\r\n    Target \"stop\"\r\n  </Rule>\r\n  <Rule \"ignore_interfaces_q\">\r\n    <Match \"regex\">\r\n      Plugin \"^interface$\"\r\n      PluginInstance \"^q.*\"\r\n    </Match>\r\n    Target \"stop\"\r\n  </Rule>\r\n  Target \"return\"\r\n</Chain>\r\n\r\n# Graphite Host Configuration\r\n<Plugin write_graphite>\r\n  <Carbon>\r\n    Host \"{{graphite_host}}\"\r\n    Port \"2003\"\r\n    Prefix \"{{graphite_prefix}}.\"\r\n    Protocol \"tcp\"\r\n    LogSendErrors true\r\n    StoreRates true\r\n    AlwaysAppendDS false\r\n    EscapeCharacter \"_\"\r\n  </Carbon>\r\n</Plugin>\r\n\r\n<Plugin df>\r\n  ValuesPercentage true\r\n</Plugin>\r\n\r\n<Plugin disk>\r\n  Disk \"/^[hsv]d[a-z]+[0-9]?$/\"\r\n  IgnoreSelected false\r\n</Plugin>\r\n\r\n<Plugin mysql>\r\n  <Database \"overcloud\">\r\n    Host \"localhost\"\r\n    User \"root\"\r\n    Password \"{{mysql_root_password.stdout}}\"\r\n    Socket \"/var/lib/mysql/mysql.sock\"\r\n    InnodbStats true\r\n  </Database>\r\n</Plugin>\r\n\r\n# (akrzos) Including the version of OpenStack that the process was verified as running after\r\n# OpenStack Installation with a comment at the end of each Process/ProcessMatch statement.\r\n# A Minus before the version means the process was not found in that version. (Ex -9)\r\n<Plugin processes>\r\n  # Aodh (OpenStack Installed)\r\n  ProcessMatch \"aodh-evaluator\" \"aodh-evaluator\"                                        # 9,10\r\n  ProcessMatch \"aodh-listener\" \"aodh-listener\"                                          # 9,10\r\n  ProcessMatch \"aodh-notifier\" \"python.+aodh-notifier\"                                  # 9,10\r\n\r\n  # Ceilometer (OpenStack Installed)\r\n  ProcessMatch \"ceilometer-agent-central\" \"python.+ceilometer-agent-central\"            # -9,-10\r\n  ProcessMatch \"ceilometer-agent-compute\" \"python.+ceilometer-agent-compute\"            # -9,-10\r\n  ProcessMatch \"ceilometer-agent-notification\" \"ceilometer-agent-notification\"          # 9,10\r\n  ProcessMatch \"ceilometer-alarm-evaluator\" \"python.+ceilometer-alarm-evaluator\"        # -9,-10\r\n  ProcessMatch \"ceilometer-alarm-notifier\" \"python.+ceilometer-alarm-notifier\"          # -9,-10\r\n  ProcessMatch \"ceilometer-api\" \"python.+ceilometer-api\"                                # 9,10\r\n  ProcessMatch \"ceilometer-collector\" \"ceilometer-collector\"                            # 9,10\r\n  ProcessMatch \"ceilometer-polling\" \"ceilometer-polling\"                                # 9,10\r\n\r\n  # Ceph (OpenStack Installed)\r\n  ProcessMatch \"ceph-mon\" \"^/usr/bin/ceph-mon\"                                          # -9,-10\r\n  ProcessMatch \"ceph-osd\" \"^/usr/bin/ceph-osd\"                                          # -9,-10\r\n  ProcessMatch \"diamond\" \"python.+diamond\"                                              # -9,-10\r\n  ProcessMatch \"salt-minion\" \"python.+salt-minion\"                                      # -9,-10\r\n\r\n  # Cinder (OpenStack Installed)\r\n  ProcessMatch \"cinder-api\" \"python.+cinder-api\"                                        # 9,10\r\n  ProcessMatch \"cinder-scheduler\" \"python.+cinder-scheduler\"                            # 9,10\r\n  ProcessMatch \"cinder-volume\" \"python.+cinder-volume\"                                  # 9,10\r\n\r\n  # Collectd (Browbeat Installed)\r\n  ProcessMatch \"collectd\" \"/usr/sbin/collectd\"\r\n\r\n  # Glance (OpenStack Installed)\r\n  ProcessMatch \"glance-api\" \"python.+glance-api\"                                        # 9,10\r\n  ProcessMatch \"glance-registry\" \"python.+glance-registry\"                              # 9,10\r\n\r\n  # Gnocchi (OpenStack Installed)\r\n  ProcessMatch \"gnocchi-metricd\" \"gnocchi-metricd\"                                      # 9,10\r\n  ProcessMatch \"gnocchi-statsd\" \"python.+gnocchi-statsd\"                                # 9,10\r\n\r\n  # Everything Else (OpenStack Installed)\r\n  # (Processes displayed under \"Everything Else\" on Grafana Dashboards)\r\n  ProcessMatch \"dnsmasq\" \"^dnsmasq.+\"                                                   # -9,-10\r\n  ProcessMatch \"haproxy\" \"/usr/sbin/haproxy.+/etc/haproxy/haproxy.cfg\"                  # 9,10\r\n  Process \"httpd\"                                                                       # 9,10\r\n  Process \"memcached\"                                                                   # 9,10\r\n  Process \"mongod\"                                                                      # 9,10\r\n  ProcessMatch \"mysqld\" \"/usr/libexec/mysqld\"                                           # 9,10\r\n  ProcessMatch \"rabbitmq\" \"/usr/lib64/erlang/erts-.+/bin/beam.smp\"                      # 9,10\r\n  Process \"redis-server\"                                                                # 9,10\r\n  ProcessMatch \"tuskar-api\" \"python.+tuskar-api\"                                        # -9,-10\r\n\r\n  # Heat (OpenStack Installed)\r\n  ProcessMatch \"heat-api\" \"python.+heat-api --config-file\"                              # 9,10\r\n  ProcessMatch \"heat-api-cfn\" \"python.+heat-api-cfn\"                                    # 9,10\r\n  ProcessMatch \"heat-api-cloudwatch\" \"python.+heat-api-cloudwatch\"                      # 9,10\r\n  ProcessMatch \"heat-engine\" \"python.+heat-engine\"                                      # 9,10\r\n\r\n  # Keystone (OpenStack Installed)\r\n  ProcessMatch \"keystone-all\" \"python.+keystone-all\"                                    # -9,-10\r\n  ProcessMatch \"keystone-admin\" \"keystone-admin.*-DFOREGROUND\"                          # 9,10\r\n  ProcessMatch \"keystone-main\" \"keystone-main.*-DFOREGROUND\"                            # 9,10\r\n\r\n  # Neutron (OpenStack Installed)\r\n  ProcessMatch \"neutron-dhcp-agent\" \"python.+neutron-dhcp-agent\"                        # 9,10\r\n  ProcessMatch \"neutron-l3-agent\" \"python.+neutron-l3-agent\"                            # 9,10\r\n  ProcessMatch \"neutron-metadata-agent\" \"python.+neutron-metadata-agent\"                # 9,10\r\n  ProcessMatch \"neutron-ns-metadata-proxy\" \"python.+neutron-ns-metadata-proxy\"          # -9,-10\r\n  ProcessMatch \"neutron-openvswitch-agent\" \"python.+neutron-openvswitch-agent\"          # 9,10\r\n  ProcessMatch \"neutron-server\" \"python.+neutron-server\"                                # 9,10\r\n\r\n  # Nova (OpenStack Installed)\r\n  ProcessMatch \"nova-api\" \"python.+nova-api\"                                            # 9,10\r\n  ProcessMatch \"nova-cert\" \"python.+nova-cert\"                                          # -9,-10\r\n  ProcessMatch \"nova-compute\" \"python.+nova-compute\"                                    # -9,-10\r\n  ProcessMatch \"nova-conductor\" \"python.+nova-conductor\"                                # 9,10\r\n  ProcessMatch \"nova-consoleauth\" \"python.+nova-consoleauth\"                            # 9,10\r\n  ProcessMatch \"nova-novncproxy\" \"python.+nova-novncproxy\"                              # 9,10\r\n  ProcessMatch \"nova-scheduler\" \"python.+nova-scheduler\"                                # 9,10\r\n\r\n  # OVS (OpenStack Installed)\r\n  ProcessMatch \"ovs-vswitchd\" \"ovs-vswitchd.+openvswitch\"                               # 9,10\r\n  ProcessMatch \"ovsdb-client\" \"/bin/ovsdb-client\"                                       # 9,10\r\n  ProcessMatch \"ovsdb-server\" \"ovsdb-server.+openvswitch\"                               # 9,10\r\n  ProcessMatch \"ovn-northd\" \"ovn-northd.+openvswitch\"                                   # 9,10\r\n  ProcessMatch \"ovn-controller\" \"ovn-controller.+openvswitch\"                           # 9,10\r\n  ProcessMatch \"ovn-controller-vtep\" \"ovn-controller-vtep.+openvswitch\"                 # 9,10\r\n\r\n  # Sahara (OpenStack Installed)\r\n  ProcessMatch \"sahara-api\" \"python.+sahara-api\"                                        # 9,-10\r\n  ProcessMatch \"sahara-engine\" \"python.+sahara-engine\"                                  # 9,-10\r\n\r\n  # Swift (OpenStack Installed)\r\n  ProcessMatch \"swift-account-auditor\" \"python.+swift-account-auditor\"                  # 9,10\r\n  ProcessMatch \"swift-account-reaper\" \"python.+swift-account-reaper\"                    # 9,10\r\n  ProcessMatch \"swift-account-replicator\" \"python.+swift-account-replicator\"            # 9,10\r\n  ProcessMatch \"swift-account-server\" \"python.+swift-account-server\"                    # 9,10\r\n  ProcessMatch \"swift-container-auditor\" \"python.+swift-container-auditor\"              # 9,10\r\n  ProcessMatch \"swift-container-updater\" \"python.+swift-container-updater\"              # 9,10\r\n  ProcessMatch \"swift-container-replicator\" \"python.+swift-container-replicator\"        # 9,10\r\n  ProcessMatch \"swift-container-server\" \"python.+swift-container-server\"                # 9,10\r\n  ProcessMatch \"swift-object-auditor\" \"python.+swift-object-auditor\"                    # 9,10\r\n  ProcessMatch \"swift-object-updater\" \"python.+swift-object-updater\"                    # 9,10\r\n  ProcessMatch \"swift-object-replicator\" \"python.+swift-object-replicator\"              # 9,10\r\n  ProcessMatch \"swift-object-server\" \"python.+swift-object-server\"                      # 9,10\r\n  ProcessMatch \"swift-proxy-server\" \"python.+swift-proxy-server\"                        # 9,10\r\n\r\n  # Pacemaker / Corosync (OpenStack Installed)\r\n  ProcessMatch \"attrd\" \"/usr/libexec/pacemaker/attrd\"                                   # 9,10\r\n  ProcessMatch \"cib\" \"/usr/libexec/pacemaker/cib\"                                       # 9,10\r\n  Process \"corosync\"                                                                    # 9,10\r\n  ProcessMatch \"crmd\" \"/usr/libexec/pacemaker/crmd\"                                     # 9,10\r\n  ProcessMatch \"lrmd\" \"/usr/libexec/pacemaker/lrmd\"                                     # 9,10\r\n  ProcessMatch \"pacemakerd\" \"/usr/sbin/pacemakerd\"                                      # 9,10\r\n  ProcessMatch \"pcsd\" \"^/usr/bin/ruby.+/usr/lib/pcsd\"                                   # 9,10\r\n  ProcessMatch \"pengine\" \"/usr/libexec/pacemaker/pengine\"                               # 9,10\r\n  ProcessMatch \"stonithd\" \"/usr/libexec/pacemaker/stonithd\"                             # 9,10\r\n</Plugin>\r\n\r\n<Plugin swap>\r\n  ReportBytes true\r\n  ValuesPercentage true\r\n</Plugin>\r\n\r\n# Tail plugin configuration\r\n<Plugin \"tail\">\r\n  <File \"/var/log/keystone/keystone.log\">\r\n    Instance \"keystone\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/httpd/keystone_wsgi_admin_error.log\">\r\n    Instance \"keystone-wsgi-admin\"\r\n    <Match>\r\n      Regex \":error\"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/httpd/keystone_wsgi_main_error.log\">\r\n    Instance \"keystone-wsgi-main\"\r\n    <Match>\r\n      Regex \":error\"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n\r\n\r\n  <File \"/var/log/nova/nova-api.log\">\r\n    Instance \"nova-api\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/nova/nova-conductor.log\">\r\n    Instance \"nova-conductor\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/nova/nova-consoleauth.log\">\r\n    Instance \"nova-consoleauth\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/nova/nova-novncproxy.log\">\r\n    Instance \"nova-novncproxy\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/nova/nova-scheduler.log\">\r\n    Instance \"nova-scheduler\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n\r\n  <File \"/var/log/neutron/dhcp-agent.log\">\r\n    Instance \"neutron-dhcp-agent\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/neutron/l3-agent.log\">\r\n    Instance \"neutron-l3-agent\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/neutron/metadata-agent.log\">\r\n    Instance \"neutron-metadata-agent\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/neutron/openvswitch-agent.log\">\r\n    Instance \"neutron-openvswitch-agent\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/neutron/server.log\">\r\n    Instance \"neutron-server\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n\r\n  <File \"/var/log/cinder/api.log\">\r\n    Instance \"cinder-api\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/cinder/scheduler.log\">\r\n    Instance \"cinder-scheduler\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/cinder/volume.log\">\r\n    Instance \"cinder-volume\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n\r\n  <File \"/var/log/glance/api.log\">\r\n    Instance \"glance-api\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/glance/registry.log\">\r\n    Instance \"glance-registry\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n\r\n  # Swift logs all into the same file\r\n  <File \"/var/log/swift/swift.log\">\r\n    Instance \"swift\"\r\n    <Match>\r\n      Regex \"account-server: ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"account-server\"\r\n    </Match>\r\n    <Match>\r\n      Regex \"container-server: ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"container-server\"\r\n    </Match>\r\n    <Match>\r\n      Regex \"object-server: ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"object-server\"\r\n    </Match>\r\n  </File>\r\n\r\n  <File \"/var/log/ceilometer/agent-notification.log\">\r\n    Instance \"ceilometer-agent-notification\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/ceilometer/central.log\">\r\n    Instance \"ceilometer-central\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/ceilometer/collector.log\">\r\n    Instance \"ceilometer-collector\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/httpd/ceilometer_wsgi_error.log\">\r\n    Instance \"ceilometer-wsgi-api\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n\r\n  <File \"/var/log/gnocchi/app.log\">\r\n    Instance \"gnocchi-app\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/gnocchi/metricd.log\">\r\n    Instance \"gnocchi-metricd\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/gnocchi/statsd.log\">\r\n    Instance \"gnocchi-statsd\"\r\n    <Match>\r\n      Regex \" ERROR \"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n  <File \"/var/log/httpd/gnocchi_wsgi_error.log\">\r\n    Instance \"gnocchi-wsgi-api\"\r\n    <Match>\r\n      Regex \":error\"\r\n      DSType \"CounterInc\"\r\n      Type \"counter\"\r\n      Instance \"total\"\r\n    </Match>\r\n  </File>\r\n\r\n</Plugin>\r\n\r\n# Include other collectd configuration files\r\nInclude \"/etc/collectd.d\"\r\n```","collectorPluginList":"Write Graphite plugin, CPU plugin, ConnTrack plugin, DF plugin, Disk plugin, Exec plugin, Interface plugin, IRQ plugin, Load plugin, Memory plugin, MySQL plugin, numa plugin, Processes plugin, Swap plugin, Tail plugin, turbostat plugin, UnixSock plugin, Uptime plugin","datasource":"Graphite","privacy":"public","createdAt":"2016-12-01T18:41:53.000Z","updatedAt":"2018-02-23T18:46:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1021"},{"rel":"revisions","href":"/dashboards/1021/revisions"},{"rel":"revision","href":"/dashboards/1021/revisions/2"},{"rel":"download","href":"/dashboards/1021/revisions/2/download"},{"rel":"org","href":"/orgs/akrzos"},{"rel":"images","href":"/dashboards/1021/images"},{"rel":"thumbnails","href":"/dashboards/1021/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":21222,"status":1,"statusCode":"active","orgId":965370,"orgSlug":"ridwang4","orgName":"ridwang4","slug":"openstack-horizon-log-monitoring","downloads":304,"revisionId":33033,"revision":1,"name":"Openstack Horizon Activity","description":"This dashboard can help you to monitor / Audit Trail activity from Horizon, like user has successfully logged,Failed Authentication, Turn ON/OFF an Instance, Delete activity (instance, volume, network, etc.). | Create by \"Muhamad Ridwan\" #Jayalah_Indonesiaku","readme":"This dashboard can help you to monitor / Audit Trail activity from Horizon, like this:\r\n◉ The user has successfully logged in to the Horizon dashboard.\r\n◉ The user failed to log in.\r\n◉ Turn On/Off Instance\r\n◉ Delete activity (instance, volume, network, etc.).\r\n◉ Others will be updated.\r\n\r\nThis Dashboard using Loki as a data source, and the promtail as the agent installed on the server contains log of Horizon Services.\r\n\r\nFor a complete tutorial installation, check out my article at my blog.\r\nhttps://blog.ridwan.tech/2024/06/using-grafana-loki-for-effective.html\r\n\r\nCreate by \"Muhamad Ridwan\" #Jayalah_Indonesiaku","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2024-06-05T07:15:43.000Z","updatedAt":"2024-06-14T03:39:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21222"},{"rel":"revisions","href":"/dashboards/21222/revisions"},{"rel":"revision","href":"/dashboards/21222/revisions/1"},{"rel":"download","href":"/dashboards/21222/revisions/1/download"},{"rel":"org","href":"/orgs/ridwang4"},{"rel":"images","href":"/dashboards/21222/images"},{"rel":"thumbnails","href":"/dashboards/21222/thumbnails"}],"datasourceSlugs":["loki"]},{"id":12536,"status":1,"statusCode":"active","orgId":395811,"orgSlug":"nountchok","orgName":"nountchok","slug":"openstack-instance-metrics","downloads":976,"revisionId":18005,"revision":1,"name":"Openstack Instance Metrics","description":"Openstack-gnocchi instance dashboard","readme":"This dashboards shows openstack instance metrics collected by ceilometer and stored in gnocchi.\nTested with Openstack 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dashboard","readme":"OpenStack instance metrics overview.\nThis dashboard shows an overview of CPU, RAM, Disks and interface metrics of all instances in OpenStack (you should have ceilometer and gnocchi). you can also select a specific compute and/or instance to view the usage metrics on that specific resource.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Gnocchi","privacy":"public","createdAt":"2021-12-01T06:03:42.000Z","updatedAt":"2021-12-01T06:12:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15330"},{"rel":"revisions","href":"/dashboards/15330/revisions"},{"rel":"revision","href":"/dashboards/15330/revisions/1"},{"rel":"download","href":"/dashboards/15330/revisions/1/download"},{"rel":"org","href":"/orgs/siavashsardari"},{"rel":"images","href":"/dashboards/15330/images"},{"rel":"thumbnails","href":"/dashboards/15330/thumbnails"}],"datasourceSlugs":["gnocchixyz-gnocchi-datasource"]},{"id":22192,"status":1,"statusCode":"active","orgId":1260810,"orgSlug":"farbod","orgName":"farbod","slug":"openstack-instance-metrics","downloads":280,"revisionId":34853,"revision":1,"name":"Openstack Instance Metrics","description":"Openstack-gnocchi instance 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openstack","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-05-18T17:05:17.000Z","updatedAt":"2024-05-19T11:02:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21093"},{"rel":"revisions","href":"/dashboards/21093/revisions"},{"rel":"revision","href":"/dashboards/21093/revisions/1"},{"rel":"download","href":"/dashboards/21093/revisions/1/download"},{"rel":"org","href":"/orgs/koalab99"},{"rel":"images","href":"/dashboards/21093/images"},{"rel":"thumbnails","href":"/dashboards/21093/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15828,"status":1,"statusCode":"active","orgId":608990,"orgSlug":"johnsom","orgName":"johnsom","slug":"openstack-octavia-amphora-load-balancer","downloads":1300,"revisionId":33322,"revision":4,"name":"OpenStack Octavia Amphora Load Balancer","description":"A dashboard for OpenStack 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Starting with the Yoga release of OpenStack, Octavia supports creating a Prometheus exporter endpoint as a listener on your load balancers.\r\n\r\nFor more information about OpenStack Octavia, visit the Octavia documentation site:\r\nhttps://docs.openstack.org/octavia/latest/","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-02-28T16:53:25.000Z","updatedAt":"2024-06-26T23:35:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15828"},{"rel":"revisions","href":"/dashboards/15828/revisions"},{"rel":"revision","href":"/dashboards/15828/revisions/4"},{"rel":"download","href":"/dashboards/15828/revisions/4/download"},{"rel":"org","href":"/orgs/johnsom"},{"rel":"images","href":"/dashboards/15828/images"},{"rel":"thumbnails","href":"/dashboards/15828/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21085,"status":1,"statusCode":"active","orgId":483809,"orgSlug":"dnationcloud14","orgName":"dnationcloud","slug":"openstack-overview","downloads":1387,"revisionId":32802,"revision":3,"name":"OpenStack overview","description":"OpenStack dashboard using the Prometheus OpenStack exporter (https://github.com/openstack-exporter/openstack-exporter)","readme":"A dashboard designed to visualize metrics collected from an OpenStack cloud through the exporter found at https://github.com/openstack-exporter/openstack-exporter\r\n\r\nDeveloped within the [SCS](https://scs.community/) project. Find the dashboard's source code and submit an issue or pull request in the related [repository](https://github.com/SovereignCloudStack/k8s-observability)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-05-16T09:39:28.000Z","updatedAt":"2024-05-17T07:29:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21085"},{"rel":"revisions","href":"/dashboards/21085/revisions"},{"rel":"revision","href":"/dashboards/21085/revisions/3"},{"rel":"download","href":"/dashboards/21085/revisions/3/download"},{"rel":"org","href":"/orgs/dnationcloud14"},{"rel":"images","href":"/dashboards/21085/images"},{"rel":"thumbnails","href":"/dashboards/21085/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4569,"status":1,"statusCode":"active","orgId":18017,"orgSlug":"sileht","orgName":"sileht","slug":"openstack-gnocchi-instance-metrics","downloads":1467,"revisionId":6123,"revision":1,"name":"Openstack-Gnocchi instance 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Metrics Generator: Display metrics related to trace-to-metrics generation.\r\n\r\nThis dashboard is designed to help users quickly identify bottlenecks, optimize pipeline performance, and ensure the reliability of their distributed tracing infrastructure.\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-14T08:33:20.000Z","updatedAt":"2025-04-14T08:48:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23242"},{"rel":"revisions","href":"/dashboards/23242/revisions"},{"rel":"revision","href":"/dashboards/23242/revisions/1"},{"rel":"download","href":"/dashboards/23242/revisions/1/download"},{"rel":"org","href":"/orgs/dellnoantechnp"},{"rel":"images","href":"/dashboards/23242/images"},{"rel":"thumbnails","href":"/dashboards/23242/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24511,"status":1,"statusCode":"active","orgId":534026,"orgSlug":"sadik","orgName":"sadik","slug":"opentelemetry-tempo","downloads":196,"revisionId":39244,"revision":1,"name":"OpenTelemetry & Tempo","description":"OpenTelemetry & Tempo Performance Monitoring","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-12-04T16:24:17.000Z","updatedAt":"2025-12-04T16:25:17.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24511"},{"rel":"revisions","href":"/dashboards/24511/revisions"},{"rel":"revision","href":"/dashboards/24511/revisions/1"},{"rel":"download","href":"/dashboards/24511/revisions/1/download"},{"rel":"org","href":"/orgs/sadik"},{"rel":"images","href":"/dashboards/24511/images"},{"rel":"thumbnails","href":"/dashboards/24511/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19419,"status":1,"statusCode":"active","orgId":632290,"orgSlug":"blueswen","orgName":"blueswen","slug":"opentelemetry-apm","downloads":17571,"revisionId":37483,"revision":6,"name":"OpenTelemetry APM","description":"A language-agnostic application performance management(APM) with OpenTelemetry, Grafana, and Prometheus.","readme":"Monitoring application performance with OpenTelemetry SDK, OpenTelemetry Collector, Prometheus, and Grafana:\r\n\r\n1. OpenTelemetry SDK: Generate traces and push them to OpenTelemetry Collector with [automatic instrumentation](https://opentelemetry.io/docs/concepts/instrumentation/automatic/)\r\n2. OpenTelemetry Collector: Receive traces and process them to metrics with [Span Metrics Connector](https://github.com/open-telemetry/opentelemetry-collector-contrib/blob/main/connector/spanmetricsconnector/README.md)\r\n3. Prometheus: Scrape metrics from OpenTelemetry Collector\r\n4. Grafana: Visualize metrics\r\n\r\nCheck more details on the GitHub repository: [OpenTelemetry Application Performance Management](https://github.com/blueswen/opentelemetry-apm).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-08-27T09:07:49.000Z","updatedAt":"2025-06-10T13:13:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19419"},{"rel":"revisions","href":"/dashboards/19419/revisions"},{"rel":"revision","href":"/dashboards/19419/revisions/6"},{"rel":"download","href":"/dashboards/19419/revisions/6/download"},{"rel":"org","href":"/orgs/blueswen"},{"rel":"images","href":"/dashboards/19419/images"},{"rel":"thumbnails","href":"/dashboards/19419/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12553,"status":1,"statusCode":"active","orgId":396524,"orgSlug":"hashfyre1","orgName":"hashfyre1","slug":"opentelemetry-collector","downloads":33540,"revisionId":18040,"revision":1,"name":"OpenTelemetry Collector","description":"Provides information about the status of the OpenTelemetry Collector","readme":"# OpenTelemetry Collector Dashboard\nThis dashboard displays metrics exposed by the OpenTelemetry collector instance (whether running as an agent or a collector)\n\nThis is based on an older [OpenTelemetry Collector dashboard](https://grafana.com/grafana/dashboards/11575) by [Paulo Janotti](https://grafana.com/orgs/omnition) with consolidated panels and updated for Grafana 7.0.x\n\n[open-telemetry/opentelemetry-collector](https://github.com/open-telemetry/opentelemetry-collector)\n\nIt displays metrics on:\n- Receivers\n- Processors\n  - Queued Retry\n  - Batch\n- Exporters\n\n## Roadmap\n- add GRPC metrics section\n- add process metrics section with heap and runtime memory metrics","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-06-30T11:36:05.000Z","updatedAt":"2020-06-30T12:18:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/12553"},{"rel":"revisions","href":"/dashboards/12553/revisions"},{"rel":"revision","href":"/dashboards/12553/revisions/1"},{"rel":"download","href":"/dashboards/12553/revisions/1/download"},{"rel":"org","href":"/orgs/hashfyre1"},{"rel":"images","href":"/dashboards/12553/images"},{"rel":"thumbnails","href":"/dashboards/12553/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11575,"status":1,"statusCode":"active","orgId":227108,"orgSlug":"omnition","orgName":"Paulo Janotti","slug":"opentelemetry-collector","downloads":19592,"revisionId":16307,"revision":1,"name":"OpenTelemetry Collector","description":"Provides information about the status of the OpenTelemetry Collector","readme":"Basic dashboard to monitor the OpenTelemetry Collector","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-17T00:00:10.000Z","updatedAt":"2020-01-17T00:02:01.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11575"},{"rel":"revisions","href":"/dashboards/11575/revisions"},{"rel":"revision","href":"/dashboards/11575/revisions/1"},{"rel":"download","href":"/dashboards/11575/revisions/1/download"},{"rel":"org","href":"/orgs/omnition"},{"rel":"images","href":"/dashboards/11575/images"},{"rel":"thumbnails","href":"/dashboards/11575/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15983,"status":1,"statusCode":"active","orgId":12941,"orgSlug":"monitoringartist","orgName":"Monitoring Artist","slug":"opentelemetry-collector","downloads":2770295,"revisionId":37102,"revision":29,"name":"OpenTelemetry Collector","description":"Visualize OpenTelemetry (OTEL) collector metrics (tested with OTEL contrib v0.125.0)","readme":"Visualisation of OpenTelemetry collector metrics from Prometheus.\r\n\r\nPart of [opentelemetry-collector-monitoring repo](https://github.com/monitoringartist/opentelemetry-collector-monitoring).\r\n\r\nThis dashboard can also be used partially for [Alloy monitoring (mainly for OTEL components)](https://github.com/monitoringartist/opentelemetry-collector-monitoring/blob/main/doc/grafana-alloy-monitoring.md).\r\n\r\n## Metric name/label name conventions\r\n\r\nOpenTelemetry collector metrics and label names can vary significantly. These variations depend on several factors:\r\n\r\n- OpenTelemetry Collector version\r\n- Specific receivers/exporters in use\r\n- Receiver/exporter configuration settings\r\n- Metric storage backend configuration\r\n\r\nFor example uptime metric can be saved as:\r\n```\r\notelcol_process_uptime{service_instance_id=\"123456\", ...}\r\notelcol_process_uptime_total{service_instance_id=\"123456\", ...}\r\notelcol_process_uptime_seconds_total{service_instance_id=\"123456\", ...}\r\notelcol_process_uptime_seconds_total{service.instance.id=\"123456\", ...}\r\notelcol_process_uptime_seconds_total_total{service.instance.id=\"123456\", ...}\r\n```\r\n\r\nThis dashboard attempts to detect all these variations through hidden dashboard variables \r\nto ensure compatibility across different configurations.\r\n\r\nCollector configuration, where the collector collects their own metrics and posts them to Prometheus:\r\n```\r\nextensions:\r\n  sigv4auth/aws:\r\n\r\nreceivers:\r\n  prometheus:\r\n    config:\r\n      scrape_configs:\r\n      - job_name: otel-collector-metrics\r\n        scrape_interval: 10s\r\n        static_configs:\r\n        - targets: ['localhost:8888']\r\n\r\nexporters:\r\n  # AWS Managed Prometheus example\r\n  prometheusremotewrite/aws:\r\n    endpoint: https://aps-workspaces.<region>.amazonaws.com/workspaces/<workspace-id>/api/v1/remote_write\r\n    auth:\r\n      authenticator: sigv4auth/aws\r\n  # Grafana Cloud example\r\n  prometheusremotewrite/grafanacloud:\r\n    # check your Grafana Cloud admin console for correct hostname\r\n    endpoint: https://prometheus-prod-11-prod-us-central-0.grafana.net/api/prom  \r\n    headers:\r\n      # hardcoded base64 value in auth header or use basicauth extension\r\n      \"Authorization\": \"Basic <base64(username:password)>\"\r\n  # Prometheus server example\r\n  prometheusremotewrite/my-prometheus:\r\n    # my-prometheus server must have '--enable-feature=remote-write-receiver'\r\n    endpoint: https://my-prometheus/api/v1/write \r\n\r\nservice:\r\n  pipelines:\r\n    metrics:\r\n      receivers: [prometheus]\r\n      processors: []\r\n      # use configured prometheusremotewrite exporter\r\n      exporters: [prometheusremotewrite]\r\n  telemetry:\r\n    metrics:\r\n      address: 0.0.0.0:8888\r\n      level: detailed\r\n```\r\nSee: [collector monitoring doc](https://github.com/open-telemetry/opentelemetry-collector/blob/main/docs/monitoring.md) and [collector troubleshooting - metrics](https://github.com/open-telemetry/opentelemetry-collector/blob/main/docs/troubleshooting.md#metrics).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-03-27T18:36:00.000Z","updatedAt":"2025-05-03T16:51:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15983"},{"rel":"revisions","href":"/dashboards/15983/revisions"},{"rel":"revision","href":"/dashboards/15983/revisions/29"},{"rel":"download","href":"/dashboards/15983/revisions/29/download"},{"rel":"org","href":"/orgs/monitoringartist"},{"rel":"images","href":"/dashboards/15983/images"},{"rel":"thumbnails","href":"/dashboards/15983/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17728,"status":1,"statusCode":"active","orgId":568677,"orgSlug":"d7561985","orgName":"d7561985","slug":"opentelemetry-collector-0-68-0-v20221229","downloads":2177,"revisionId":27199,"revision":1,"name":"OpenTelemetry Collector 0.68.0 v20221229","description":"Provides information about the status of the OpenTelemetry Collector  Contrib ","readme":"OpenTelemetry Collector version: 0.68.0 with usage of processors: memory_limiter, batch \r\nIn addition: designed for Logs, Metrics and Traces\r\n\r\nIMPORTANT: required labels: namespace, deployment_environment and job\r\n\r\nExample of agent and setup you can find in helm chart agent: https://d7561985.github.io/k8app","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-12-29T09:14:25.000Z","updatedAt":"2022-12-29T09:18:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17728"},{"rel":"revisions","href":"/dashboards/17728/revisions"},{"rel":"revision","href":"/dashboards/17728/revisions/1"},{"rel":"download","href":"/dashboards/17728/revisions/1/download"},{"rel":"org","href":"/orgs/d7561985"},{"rel":"images","href":"/dashboards/17728/images"},{"rel":"thumbnails","href":"/dashboards/17728/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17868,"status":1,"statusCode":"active","orgId":568677,"orgSlug":"d7561985","orgName":"d7561985","slug":"opentelemetry-collector-0-68-0-v20230112","downloads":380830,"revisionId":27398,"revision":1,"name":"OpenTelemetry Collector 0.68.0 v20230112","description":"Provides information about the status of the OpenTelemetry Collector  Contrib ","readme":"OpenTelemetry Collector version: 0.68.0 with usage of processors: memory_limiter, batch \r\nIn addition: designed for Logs, Metrics and Traces\r\n\r\nIMPORTANT: required labels: namespace, deployment_environment and job\r\n\r\nExample of agent and setup you can find in helm chart agent: https://d7561985.github.io/k8app","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-01-12T08:42:33.000Z","updatedAt":"2023-01-12T08:46:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17868"},{"rel":"revisions","href":"/dashboards/17868/revisions"},{"rel":"revision","href":"/dashboards/17868/revisions/1"},{"rel":"download","href":"/dashboards/17868/revisions/1/download"},{"rel":"org","href":"/orgs/d7561985"},{"rel":"images","href":"/dashboards/17868/images"},{"rel":"thumbnails","href":"/dashboards/17868/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18309,"status":1,"statusCode":"active","orgId":604286,"orgSlug":"devrimdemiroz","orgName":"devrimdemiroz","slug":"opentelemetry-collector-data-flow","downloads":623897,"revisionId":28122,"revision":2,"name":"Opentelemetry Collector Data Flow","description":"otelcol metrics dashboard","readme":"\r\n# Collector Data Flow Dashboard\r\n\r\n\r\nMonitoring data flow through the OpenTelemetry Collector is crucial for several\r\nreasons. Gaining a macro-level perspective on incoming data, such as sample\r\ncounts and cardinality, is essential for comprehending the collector's internal\r\ndynamics. However, when delving into the details, the interconnections can\r\nbecome complex. The Collector Data Flow Dashboard aims to demonstrate the\r\ncapabilities of the OpenTelemetry demo application, offering a solid foundation\r\nfor users to build upon. Collector Data Flow Dashboard provides valuable\r\nguidance on which metrics to monitor. Users can tailor their own dashboard\r\nvariations by adding necessary metrics specific to their use cases, such as\r\nmemory_delimiter processor or other data flow indicators. This demo dashboard\r\nserves as a starting point, enabling users to explore diverse usage scenarios\r\nand adapt the tool to their unique monitoring needs.\r\n\r\n## Data Flow Overview\r\n\r\nThe diagram below provides an overview of the system components, showcasing the\r\nconfiguration derived from the OpenTelemetry Collector (otelcol) configuration\r\nfile utilized by the OpenTelemetry demo application. Additionally, it highlights\r\nthe observability data (traces and metrics) flow within the system.\r\n\r\n![OpenTelemetry Collector Data Flow Overview](https://opentelemetry.io/docs/demo/collector-data-flow-dashboard/otelcol-data-flow-overview.png)\r\n\r\n## Ingress/Egress Metrics\r\n\r\nThe metrics depicted in the diagram below are employed to monitor both egress\r\nand ingress data flows. These metrics are generated by the otelcol process,\r\nexported on port 8888, and subsequently scraped by Prometheus. The namespace\r\nassociated with these metrics is \"otelcol,\" and the job name is labeled as\r\n\"otel.\"\r\n\r\n![OpenTelemetry Collector Ingress and Egress Metrics](https://opentelemetry.io/docs/demo/collector-data-flow-dashboard/otelcol-data-flow-metrics.png)\r\n\r\nLabels serve as a valuable tool for identifying specific metric sets (such as\r\nexporter, receiver, or job), enabling differentiation among metric sets within\r\nthe overall namespace. It is important to note that you will only encounter\r\nrefused metrics if the memory limits, as defined in the memory delimiter\r\nprocessor, are exceeded.\r\n\r\n### Ingress Traces Pipeline\r\n\r\n- `otelcol_receiver_accepted_spans`\r\n- `otelcol_receiver_refused_spans`\r\n- `by (receiver,transport)`\r\n\r\n### Ingress Metrics Pipeline\r\n\r\n- `otelcol_receiver_accepted_metric_points`\r\n- `otelcol_receiver_refused_metric_points`\r\n- `by (receiver,transport)`\r\n\r\n### Processor\r\n\r\nCurrently, the only processor present in the demo application is a batch\r\nprocessor, which is used by both traces and metrics pipelines.\r\n\r\n- `otelcol_processor_batch_batch_send_size_sum`\r\n\r\n### Egress Traces Pipeline\r\n\r\n- `otelcol_exporter_sent_spans`\r\n- `otelcol_exporter_send_failed_spans`\r\n- `by (exporter)`\r\n\r\n### Egress Metrics Pipeline\r\n\r\n- `otelcol_exporter_sent_metric_points`\r\n- `otelcol_exporter_send_failed_metric_points`\r\n- `by (exporter)`\r\n\r\n### Prometheus Scraping\r\n\r\n- `scrape_samples_scraped`\r\n- `by (job)`\r\n\r\n## Dashboard\r\n\r\nYou can access the dashboard by navigating to the Grafana UI, selecting the\r\n**OpenTelemetry Collector Data Flow** dashboard under browse icon on the\r\nleft-hand side of the screen.\r\n\r\n![OpenTelemetry Collector Data Flow dashboard](https://opentelemetry.io/docs/demo/collector-data-flow-dashboard/otelcol-data-flow-dashboard.png)\r\n\r\nThe dashboard has four main sections:\r\n\r\n1. Process Metrics\r\n2. Traces Pipeline\r\n3. Metrics Pipeline\r\n4. Prometheus Scraping\r\n\r\nSections 2,3 and 4 represent overall data flow using the metrics mentioned\r\nabove. Additionally, export ratio is calculated for each pipeline to understand\r\nthe data flow.\r\n\r\n### Export Ratio\r\n\r\nExport ratio is basically the ratio between receiver and exporter metrics. You\r\ncan notice over the dashboard screenshot above that the export ratio on metrics\r\nis way too high than the received metrics. This is because the demo application\r\nis configured to generate spanmetrics which is a processor that generates\r\nmetrics from spans inside collector as illustrated in overview diagram.\r\n\r\n### Process Metrics\r\n\r\nVery limited but informative process metrics are added to dashboard. For\r\nexample, you might observe more than one instance of otelcol running on the\r\nsystem during restarts or similar. This can be useful for understanding spikes\r\non dataflow.\r\n\r\n![OpenTelemetry Collector Process Metrics](https://opentelemetry.io/docs/demo/collector-data-flow-dashboard/otelcol-dashbord-process-metrics.png)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-18T21:24:54.000Z","updatedAt":"2023-04-03T23:22:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18309"},{"rel":"revisions","href":"/dashboards/18309/revisions"},{"rel":"revision","href":"/dashboards/18309/revisions/2"},{"rel":"download","href":"/dashboards/18309/revisions/2/download"},{"rel":"org","href":"/orgs/devrimdemiroz"},{"rel":"images","href":"/dashboards/18309/images"},{"rel":"thumbnails","href":"/dashboards/18309/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22929,"status":1,"statusCode":"active","orgId":226641,"orgSlug":"lmeyerov","orgName":"graphistry","slug":"opentelemetry-collector-hostmetrics-node-exporter","downloads":294,"revisionId":36239,"revision":1,"name":"OpenTelemetry Collector HostMetrics (Node Exporter)","description":"OpenTelemetry Collector otelcol-contrib hostmetrics (Node Exporter)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-02-25T05:04:24.000Z","updatedAt":"2025-02-25T05:05:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22929"},{"rel":"revisions","href":"/dashboards/22929/revisions"},{"rel":"revision","href":"/dashboards/22929/revisions/1"},{"rel":"download","href":"/dashboards/22929/revisions/1/download"},{"rel":"org","href":"/orgs/lmeyerov"},{"rel":"images","href":"/dashboards/22929/images"},{"rel":"thumbnails","href":"/dashboards/22929/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20376,"status":1,"statusCode":"active","orgId":952783,"orgSlug":"cboudereau","orgName":"cboudereau","slug":"opentelemetry-collector-hostmetrics-node-exporter","downloads":4732,"revisionId":31461,"revision":6,"name":"OpenTelemetry Collector HostMetrics (Node Exporter)","description":"OpenTelemetry Collector otelcol-contrib hostmetrics (Node Exporter)","readme":"# OpenTelemetry Collector Contrib HostMetrics (Node Exporter)\r\n\r\n## Description\r\notelcol-contrib hostmetrics (Node Exporter)\r\n\r\nhttps://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/receiver/hostmetricsreceiver#host-metrics-receiver\r\n\r\nThis dashboard has been adapted for otel from node exporter: https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/receiver/hostmetricsreceiver#host-metrics-receiver\r\n\r\n## Quick and bacic views\r\n\r\n![Quick view 1](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/opentelemetry/otelcol-contrib/quick-1.png)\r\n![Quick view 1](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/opentelemetry/otelcol-contrib/quick-2.png)\r\n\r\n## Process metrics\r\n![Process view 1](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/opentelemetry/otelcol-contrib/process-1.png)\r\n\r\n## OpenTelemetry Collector Config\r\n\r\n```yaml\r\nexporters:\r\n  otlphttp/mimir:\r\n    endpoint: http://mimir:9009/otlp\r\n\r\nreceivers:\r\n  # otelcontribcol metrics + host metrics\r\n  prometheus/agent:\r\n    config:\r\n      scrape_configs:\r\n        - job_name: otel-collector\r\n          scrape_interval: 10s\r\n          static_configs:\r\n            - targets: [0.0.0.0:8888]\r\n  hostmetrics/agent:\r\n    collection_interval: 10s\r\n    scrapers:\r\n      cpu:\r\n        metrics:\r\n          system.cpu.logical.count:\r\n            enabled: true\r\n      memory:\r\n        metrics:\r\n          system.memory.utilization:\r\n            enabled: true\r\n          system.memory.limit:\r\n            enabled: true\r\n      load:\r\n      disk:\r\n      filesystem:\r\n        metrics:\r\n          system.filesystem.utilization:\r\n            enabled: true\r\n      network:\r\n      paging:\r\n      processes:\r\n      process:\r\n        mute_process_user_error: true\r\n        metrics:\r\n          process.cpu.utilization:\r\n            enabled: true\r\n          process.memory.utilization:\r\n            enabled: true\r\n          process.threads:\r\n            enabled: true\r\n          process.paging.faults:\r\n            enabled: true\r\n\r\nprocessors:\r\n  batch/agent:\r\n  resource/agent:\r\n    attributes:\r\n      - action: upsert\r\n        key: service.namespace\r\n        value: agent\r\n  attributes/agent:\r\n    actions:\r\n      - key: service.namespace\r\n        action: upsert\r\n        value: agent\r\n      - key: service.name\r\n        action: upsert\r\n        value: otel-collector\r\n  resourcedetection/system:\r\n    detectors: [\"system\"]\r\n    system:\r\n      hostname_sources: [\"os\"]\r\n  transform:\r\n    metric_statements:\r\n      - context: datapoint\r\n        statements:\r\n          - set(attributes[\"host.name\"], resource.attributes[\"host.name\"])\r\n          - set(attributes[\"process.command\"], resource.attributes[\"process.command\"])\r\n          - set(attributes[\"process.command_line\"], resource.attributes[\"process.command_line\"])\r\n          - set(attributes[\"process.executable.name\"], resource.attributes[\"process.executable.name\"])\r\n          - set(attributes[\"process.executable.path\"], resource.attributes[\"process.executable.path\"])\r\n          - set(attributes[\"process.owner\"], resource.attributes[\"process.owner\"])\r\n          - set(attributes[\"process.parent_pid\"], resource.attributes[\"process.parent_pid\"])\r\n          - set(attributes[\"process.pid\"], resource.attributes[\"process.pid\"])\r\n\r\nservice:\r\n  telemetry:\r\n    metrics:\r\n      level: detailed\r\n\r\n  pipelines:\r\n    metrics/agent:\r\n      receivers: [prometheus/agent, hostmetrics/agent]\r\n      processors: [attributes/agent, resourcedetection/system, transform, batch/agent]\r\n      exporters: [otlphttp/mimir]\r\n```\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-01-29T16:01:12.000Z","updatedAt":"2024-01-31T08:00:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20376"},{"rel":"revisions","href":"/dashboards/20376/revisions"},{"rel":"revision","href":"/dashboards/20376/revisions/6"},{"rel":"download","href":"/dashboards/20376/revisions/6/download"},{"rel":"org","href":"/orgs/cboudereau"},{"rel":"images","href":"/dashboards/20376/images"},{"rel":"thumbnails","href":"/dashboards/20376/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17723,"status":1,"statusCode":"active","orgId":568677,"orgSlug":"d7561985","orgName":"d7561985","slug":"opentelemetry-collector","downloads":304,"revisionId":27194,"revision":1,"name":"OpenTelemetry Collector 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RED\r\n![RED](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/opentelemetry/dotnet/webapi/2-RED.png)\r\n\r\n## Metrics to traces\r\n![Metrics to traces](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/opentelemetry/dotnet/webapi/8-Metrics_to_Traces.png)\r\n\r\n## HTTP Server\r\n![HTTP Server](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/opentelemetry/dotnet/webapi/3-HTTP-Server.png)\r\n![HTTP Server 2](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/opentelemetry/dotnet/webapi/3-HTTP-Server-2.png)\r\n\r\n## Process\r\n![Process](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/opentelemetry/dotnet/webapi/4-Process.png)\r\n\r\n## Runtime\r\n![Runtime](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/opentelemetry/dotnet/webapi/5-Runtime.png)\r\n\r\n## HTTP Client\r\n![HTTP Client](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/opentelemetry/dotnet/webapi/6-HTTP-Client.png)\r\n\r\n## Logs\r\n![Logs](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/opentelemetry/dotnet/webapi/7-Logs.png)\r\n\r\n## Setup dotnet dependencies\r\n```bash\r\ndotnet add package OpenTelemetry.Exporter.OpenTelemetryProtocol\r\ndotnet add package OpenTelemetry.Instrumentation.AspNetCore\r\ndotnet add package OpenTelemetry.Instrumentation.Http\r\ndotnet add package OpenTelemetry.Instrumentation.Runtime\r\ndotnet add package System.Diagnostics.DiagnosticSource\r\ndotnet add package OpenTelemetry.Instrumentation.Process\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, 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USE method","readme":"# OpenTelemetry JVM Spring Boot dashboard\r\n\r\n![overview](https://raw.githubusercontent.com/cboudereau/grafana-dashboards/main/opentelemetry/java/springboot/overview.png)\r\n\r\nMetrics are sent via micrometer-otlp.\r\nLogs are sent via the opentelemetry exporter.\r\n\r\nThis dashboard has been built by following:\r\n- [USE method by Brendan Gregg](https://www.brendangregg.com/usemethod.html#:~:text=The%20Utilization%20Saturation%20and%20Errors,identifying%20resource%20bottlenecks%20or%20errors.)\r\n- [RED method](https://grafana.com/blog/2018/08/02/the-red-method-how-to-instrument-your-services/)\r\n\r\n## Blog post with live demo\r\nA complete [live demo](https://o11y-weekly.github.io/2024-01-31_OpenTelemetry_Looks_Good_To_Me/demo/) and [blog post](https://o11y-weekly.github.io/2024-01-31_OpenTelemetry_Looks_Good_To_Me/) with docker compose is available at 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Our goal is secure connect to OpenVAS database 'PostgreSQL' with Grafana. This setup will operate in a closed loop. Grafana, OpenVAS, and InfluxDB will only be accessible on Nginx using HTTPS.\r\n\r\nPS: The latest dashboard JSON files are on GitHub because we couldn't upload them here.\r\n\r\n## GitHub: https://github.com/oguzhantanir/openvas_vulnerability_dashboard\r\n\r\n### First step\r\nCreate a wildcard selfsign or authority certificate. We are continuing with selfsign.\r\n```\r\ncat > wildcard-test.com.cnf <<'EOF'\r\n[ req ]\r\ndefault_bits       = 4096\r\nprompt             = no\r\ndefault_md         = sha256\r\nreq_extensions     = req_ext\r\ndistinguished_name = dn\r\n\r\n[ dn ]\r\nC  = TR\r\nST = Lab\r\nL  = Test\r\nO  = TestOrg\r\nOU = IT\r\nCN = *.test.com\r\n\r\n[ req_ext ]\r\nsubjectAltName = @alt_names\r\n\r\n[ alt_names ]\r\nDNS.1 = *.test.com\r\nDNS.2 = test.com\r\nEOF\r\n```\r\nCreate selfsign certificate on \"certs\" folder.\r\n```\r\nopenssl req -x509 -nodes -days 825   -newkey rsa:4096   -keyout wildcard.test.com.key   -out wildcard.test.com.crt   -config wildcard-test.com.cnf\r\n```\r\n\r\n### Second step\r\nDeploy with docker compose file.\r\n\r\n```\r\ndocker compose -f docker-compose.yml up -d\r\n```\r\n<img width=\"890\" height=\"681\" alt=\"resim\" src=\"https://github.com/user-attachments/assets/a3df14d3-4a95-457e-add5-8d89d7c587d8\" />\r\n\r\n```\r\ndocker ps -a\r\n```\r\n<img width=\"1731\" height=\"374\" alt=\"resim\" src=\"https://github.com/user-attachments/assets/b36e7612-de69-4ad0-824a-4ac1a30dffb3\" />\r\n\r\nNow, create DNS 'A record' or write to the localhost file using the server's local IP address.\r\n```\r\n10.10.0.20  openvas.test.com\r\n10.10.0.20  grafana.test.com\r\n10.10.0.20  influxdb.test.com\r\n```\r\n### Then\r\nCall this URL using your browser.\r\n<img width=\"1320\" height=\"867\" alt=\"resim\" src=\"https://github.com/user-attachments/assets/fb174467-939a-4664-8233-3ab2393c0798\" />\r\nOpenVAS default login user:admin password:admin\r\n \r\n<img width=\"1314\" height=\"801\" alt=\"resim\" src=\"https://github.com/user-attachments/assets/c4f58dd3-2756-43b4-9f21-72941c294995\" />\r\nGrafana login user:admin password:Aa123456\r\n\r\nChange this password.\r\n\r\n### Last step\r\n\r\nCreate a user in the OpenVAS PostgreSQL database for Grafana.\r\n```\r\ndocker exec -it otig_stack-gvmd-1 bash\r\n```\r\n```\r\nsu -s /bin/bash gvmd\r\n```\r\n```\r\npsql -U postgres -d gvmd\r\n```\r\n\r\n```\r\nCREATE USER grafana WITH PASSWORD 'Aa123456';\r\nGRANT CONNECT ON DATABASE gvmd TO grafana;\r\nGRANT USAGE ON SCHEMA public TO grafana;\r\nGRANT SELECT ON ALL TABLES IN SCHEMA public TO grafana;\r\nGRANT SELECT ON ALL SEQUENCES IN SCHEMA public TO grafana;\r\nALTER DEFAULT PRIVILEGES IN SCHEMA public\r\nGRANT SELECT ON TABLES TO grafana;\r\n\\q\r\n```\r\n\r\nConnect to Postgresql database on Grafana.\r\n<img width=\"1307\" height=\"868\" alt=\"resim\" src=\"https://github.com/user-attachments/assets/a33e3886-1f88-4905-ae44-3ad947e6dbfe\" />\r\n\r\n<img width=\"1051\" height=\"210\" alt=\"resim\" src=\"https://github.com/user-attachments/assets/b5112319-81f2-4dcf-bb16-069856dcff0c\" />\r\n   \r\nImport dashboard 'json' files to Grafana.\r\n<img width=\"1229\" height=\"378\" alt=\"resim\" src=\"https://github.com/user-attachments/assets/5821810e-4af6-4d11-9fa5-d6ecbd8cc961\" />\r\n\r\n### Finally\r\n\r\nConfigure your vulnerability scans in OpenVAS. You will begin to see the findings vulnerability on the Grafana dashboard. This dashboard is customizable and flexible. You can also generate alert triggers and action plans.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2026-01-29T13:11:26.000Z","updatedAt":"2026-02-01T07:18:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24764"},{"rel":"revisions","href":"/dashboards/24764/revisions"},{"rel":"revision","href":"/dashboards/24764/revisions/2"},{"rel":"download","href":"/dashboards/24764/revisions/2/download"},{"rel":"org","href":"/orgs/oguzhantanir"},{"rel":"images","href":"/dashboards/24764/images"},{"rel":"thumbnails","href":"/dashboards/24764/thumbnails"}]},{"id":12140,"status":1,"statusCode":"active","orgId":328050,"orgSlug":"obitech","orgName":"obitech","slug":"openvpn","downloads":2023,"revisionId":17274,"revision":1,"name":"OpenVPN Metrics","description":"Simple OpenVPN Metrics dashboard for Prometheus openvpn_exporter","readme":"Extends louish's 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installed lua scripts.","readme":"based on \"Node Exporter Full\"\r\n\r\nAlso available on [github](https://github.com/try2codesecure/grafana_dashboards.git)\r\n\r\nHowTo on [cloudrocket.at](https://www.cloudrocket.at/posts/monitor-openwrt-nodes-with-prometheus/)\r\n\r\nrequired lua scripts on OpenWRT router:\r\n\r\n* prometheus-node-exporter-lua\r\n* prometheus-node-exporter-lua-nat_traffic\r\n* prometheus-node-exporter-lua-netstat\r\n* prometheus-node-exporter-lua-openwrt\r\n* prometheus-node-exporter-lua-wifi\r\n* prometheus-node-exporter-lua-wifi_stations","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"conntrack, cpu, diskstats, entropy, filefd, filesystem, interrupts, loadavg, meminfo, netdev, netstat, stat, time, vmstat, 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[https://grafana.com/grafana/dashboards/3484](https://grafana.com/grafana/dashboards/3484)","collectorType":"collectd","collectorConfig":"Additional per-host data gathered by iptmon (must be installed separately): [https://github.com/oofnikj/iptmon](https://github.com/oofnikj/iptmon)","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-03-06T14:26:02.000Z","updatedAt":"2020-11-07T19:48:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11858"},{"rel":"revisions","href":"/dashboards/11858/revisions"},{"rel":"revision","href":"/dashboards/11858/revisions/4"},{"rel":"download","href":"/dashboards/11858/revisions/4/download"},{"rel":"org","href":"/orgs/oofnikj"},{"rel":"images","href":"/dashboards/11858/images"},{"rel":"thumbnails","href":"/dashboards/11858/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14994,"status":1,"statusCode":"active","orgId":441105,"orgSlug":"geomus22","orgName":"geomus22","slug":"openwrt","downloads":329,"revisionId":22393,"revision":1,"name":"OpenWRT","description":"Dashboard for OpenWRT routers with installed lua 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scripts.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-01-08T11:39:55.000Z","updatedAt":"2023-01-08T11:40:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17828"},{"rel":"revisions","href":"/dashboards/17828/revisions"},{"rel":"revision","href":"/dashboards/17828/revisions/1"},{"rel":"download","href":"/dashboards/17828/revisions/1/download"},{"rel":"org","href":"/orgs/tattvamasi68"},{"rel":"images","href":"/dashboards/17828/images"},{"rel":"thumbnails","href":"/dashboards/17828/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18153,"status":1,"statusCode":"active","orgId":262655,"orgSlug":"webmaster1989","orgName":"webmaster1989","slug":"asus-openwrt-router","downloads":2993,"revisionId":34893,"revision":4,"name":"OpenWRT","description":"Dashboard for OpenWRT routers with installed Prometheus lua exporter scripts.","readme":"## Node Exporter scripts\r\n\r\nInstall the following packages on your OpenWRT router using `opkg install`:\r\n\r\n    prometheus-node-exporter-lua\r\n    prometheus-node-exporter-lua-nat_traffic\r\n    prometheus-node-exporter-lua-netstat\r\n    prometheus-node-exporter-lua-openwrt\r\n    prometheus-node-exporter-lua-wifi\r\n    prometheus-node-exporter-lua-wifi_stations\r\n\r\n## Exporter Config\r\n\r\nOnce you installed the prometheus node exporter Lua scripts, you will need to make the `x.x.x.x:9100/metrics` end-point available to your routers' LAN interface, otherwise your Prometheus server can't fetch the data.\r\n\r\nSSH to your OpenWRT router. Edit the following file using vi `/etc/config/prometheus-node-exporter-lua`. And update/add the last line to the end, of course use the right indentation:\r\n\r\n    option listen_interface 'lan'\r\n\r\nThen restart the exporter: `/etc/init.d/prometheus-node-exporter-lua restart`\r\n\r\n## Prometheus Config\r\n\r\nIn Prometheus (server/Grafana side) you need to add a new job scrape config (at the end of the file) `/etc/prometheus/prometheus.yml`, assuming your router is at 192.168.1.1:\r\n\r\n    - job_name: \"OpenWRT\"\r\n      static_configs:\r\n        - targets: [\"192.168.1.1:9100\"]\r\n\r\nAs you can see **no** need to add \"/metrics\" to the end of the URL, `/metrics` is the default end point that Prometheus will use. Just provide the IP address with the port number.","collectorType":"nodeExporter","collectorConfig":"Install the following packages on the router using `opkg install`:\r\n\r\n    prometheus-node-exporter-lua\r\n    prometheus-node-exporter-lua-nat_traffic\r\n    prometheus-node-exporter-lua-netstat\r\n    prometheus-node-exporter-lua-openwrt\r\n    prometheus-node-exporter-lua-wifi\r\n    prometheus-node-exporter-lua-wifi_stations","collectorPluginList":"Other, 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https://forum.openwrt.org/t/sqm-reporting/","readme":"","collectorType":"collectd","collectorConfig":"Setup openwrt collectd to export data to influxdb, for example https://cactusprojects.com/openwrt-logging-to-influxdb-grafana-dash/\r\nThen see https://forum.openwrt.org/t/sqm-reporting/59960/49 to start collecting SQM data. \r\n","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2020-06-03T19:56:25.000Z","updatedAt":"2020-06-03T20:04:32.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12405"},{"rel":"revisions","href":"/dashboards/12405/revisions"},{"rel":"revision","href":"/dashboards/12405/revisions/1"},{"rel":"download","href":"/dashboards/12405/revisions/1/download"},{"rel":"org","href":"/orgs/rickkdotnet"},{"rel":"images","href":"/dashboards/12405/images"},{"rel":"thumbnails","href":"/dashboards/12405/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18565,"status":1,"statusCode":"active","orgId":124973,"orgSlug":"ray1ex","orgName":"ray1ex","slug":"openwrt-collectd-flux","downloads":473,"revisionId":31075,"revision":5,"name":"OpenWRT[Collectd][Flux]","description":"","readme":"# Workflow\r\n\r\n- run Collectd in OpenWRT, push data into Telegraf\r\n- run Telegraf in OpenWRT, push data into InfluxDB2\r\n- Grafana get data from InfluxDB2 with Flux\r\n\r\n# Install\r\n- Create a bucket(openwrt-collectd) + token in organization(monitor) in InfluxDB2\r\n- Install Collectd package in OpenWRT, enable metric export into Telegraf\r\n- Install Telegraf pacakge in OpenWRT, enable metric export into InfluxDB2\r\n- Verify that data is stored in the bucket\r\n- Create a flux DataSource in Grafana with a token that as read access to the bucket\r\n- Import this dashboard template\r\n\r\n# Telegraf\r\n\r\nmodify `/etc/telegraf.conf` in OpenWRT\r\n\r\n```toml\r\n[[outputs.influxdb_v2]]\r\nurls = [\"http://your.influxdb.ip:8086\"]\r\ntoken = \"==token==\"\r\norganization = \"monitor\"\r\nbucket = \"openwrt-collectd\"\r\n\r\n[[inputs.socket_listener]]\r\n  service_address = \"udp://:8094\"\r\n  data_format = \"collectd\"\r\n  collectd_auth_file = \"/etc/collectd/collectd.auth\"\r\n  collectd_security_level = \"encrypt\"\r\n  collectd_typesdb = [\"/usr/share/collectd/types.db\"]\r\n  collectd_parse_multivalue = \"split\"\r\n```\r\n\r\n# Tested On\r\n- OpenWRT 22.03.4\r\n- Telegraf package in OpenWRT\r\n- InfluxDB v2.7.0(docker:docker.io/influxdb)\r\n- Garfana v9.4.7(docker:docker.io/grafana/grafana-oss)\r\n\r\n# Contact Me\r\n- https://github.com/rexzhang/","collectorType":"collectd","collectorConfig":"","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-04-19T09:21:38.000Z","updatedAt":"2023-12-23T05:37:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18565"},{"rel":"revisions","href":"/dashboards/18565/revisions"},{"rel":"revision","href":"/dashboards/18565/revisions/5"},{"rel":"download","href":"/dashboards/18565/revisions/5/download"},{"rel":"org","href":"/orgs/ray1ex"},{"rel":"images","href":"/dashboards/18565/images"},{"rel":"thumbnails","href":"/dashboards/18565/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":25099,"status":1,"statusCode":"active","orgId":1718607,"orgSlug":"yn934565","orgName":"FRB","slug":"backdoor-operational-dashboard-fixed-v2-2","downloads":4,"revisionId":40359,"revision":1,"name":"Operational Dashboard (Fixed 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Firewall. It may need some more tuning to be accurate.","collectorType":"nodeExporter","collectorConfig":"You need to install the OPNsense os_node-exporter plugin.","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-06-12T17:07:35.000Z","updatedAt":"2023-06-13T05:58:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18957"},{"rel":"revisions","href":"/dashboards/18957/revisions"},{"rel":"revision","href":"/dashboards/18957/revisions/1"},{"rel":"download","href":"/dashboards/18957/revisions/1/download"},{"rel":"org","href":"/orgs/kyoshiro"},{"rel":"images","href":"/dashboards/18957/images"},{"rel":"thumbnails","href":"/dashboards/18957/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19366,"status":1,"statusCode":"active","orgId":926678,"orgSlug":"iaacautomation","orgName":"iaacautomation","slug":"opnsense","downloads":3139,"revisionId":38508,"revision":7,"name":"OPNSense","description":"OPNSense metrics","readme":"1. Install Prometheus Node Exporter Plugin on OPNSense\r\n2. Add Scrape Config to Prometheus\r\n```\r\n      - job_name: opnsense\r\n        static_configs:\r\n        - targets: [<OPNSense IP/fqdn>:9100]\r\n```\r\n3. Add Dashboard to Grafana.\r\n4. Configure Variables\r\n    1. Scrape Job (Same as above)\r\n    1. Interface match (Wan1, Wan2, Lan1,Lan2)\r\n    1. Cleanup unused panels(if you only have 2 interfaces etc.)","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-08-18T10:16:49.000Z","updatedAt":"2025-09-23T11:25:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19366"},{"rel":"revisions","href":"/dashboards/19366/revisions"},{"rel":"revision","href":"/dashboards/19366/revisions/7"},{"rel":"download","href":"/dashboards/19366/revisions/7/download"},{"rel":"org","href":"/orgs/iaacautomation"},{"rel":"images","href":"/dashboards/19366/images"},{"rel":"thumbnails","href":"/dashboards/19366/thumbnails"}]},{"id":22248,"status":1,"statusCode":"active","orgId":1269998,"orgSlug":"vysohlidm","orgName":"vysohlidm","slug":"opnsense","downloads":997,"revisionId":34960,"revision":1,"name":"OPNSense","description":"OPNSense basic metrics","readme":"### Install in three easy steps\r\n1. Install Prometheus Node Exporter Plugin on OPNSense\r\n1. Add Scrape Config to Prometheus\r\n\r\n   ```\r\n      - job_name: opnsense-<OPNSense NAME>\r\n        static_configs:\r\n        - targets: [<OPNSense IP/FQDN>:9100]\r\n   ```\r\n   - job_name have to start with \"opnsense\"\r\n   - <OPNSense NAME> to be substituted by firewall name (you can have all your firewalls visible on one dashboard at once, so they need to have unique names)\r\n   - <OPNSense IP/FQDN> to be substituted by IP or FQDN of the firewall\r\n1. Add Dashboard to Grafana.\r\n","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"cpu, filesystem, loadavg, meminfo, netdev, interrupts, devstat, time, ntp, Other","datasource":"Prometheus","privacy":"public","createdAt":"2024-11-09T17:09:40.000Z","updatedAt":"2024-11-09T17:50:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22248"},{"rel":"revisions","href":"/dashboards/22248/revisions"},{"rel":"revision","href":"/dashboards/22248/revisions/1"},{"rel":"download","href":"/dashboards/22248/revisions/1/download"},{"rel":"org","href":"/orgs/vysohlidm"},{"rel":"images","href":"/dashboards/22248/images"},{"rel":"thumbnails","href":"/dashboards/22248/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21217,"status":1,"statusCode":"active","orgId":1141293,"orgSlug":"housetr","orgName":"housetr","slug":"opnsense","downloads":320,"revisionId":33010,"revision":1,"name":"OPNSense","description":"OPNSense metrics","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-04T20:44:14.000Z","updatedAt":"2024-06-04T20:45:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21217"},{"rel":"revisions","href":"/dashboards/21217/revisions"},{"rel":"revision","href":"/dashboards/21217/revisions/1"},{"rel":"download","href":"/dashboards/21217/revisions/1/download"},{"rel":"org","href":"/orgs/housetr"},{"rel":"images","href":"/dashboards/21217/images"},{"rel":"thumbnails","href":"/dashboards/21217/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13386,"status":1,"statusCode":"active","orgId":371814,"orgSlug":"b4b857f6ee","orgName":"b4b857f6ee","slug":"opnsense-firewall","downloads":2667,"revisionId":19479,"revision":1,"name":"OPNSense - 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job_name: syslog\r\n        syslog:\r\n          listen_address: 0.0.0.0:514\r\n          idle_timeout: 60s\r\n          label_structured_data: yes\r\n          labels:\r\n            job: \"syslog\"\r\n        relabel_configs:\r\n          - source_labels: ['__syslog_message_hostname']\r\n            target_label: 'host'\r\n      # Add an additional scrape config for OPNsense IDS alerts shipped over syslog\r\n      - job_name: syslog-ids\r\n        syslog:\r\n          listen_address: 0.0.0.0:1514\r\n          idle_timeout: 60s\r\n          label_structured_data: yes\r\n          labels:\r\n            job: \"syslog-ids\"\r\n        relabel_configs:\r\n          - source_labels: ['__syslog_message_hostname']\r\n            target_label: 'host'\r\n\r\nextraPorts:\r\n  # Add an additional port for syslog\r\n  # serviceType \"LoadBalancer\" only works if you have deployed an Loadbalancer for example MetalLB\r\n  syslog:\r\n    name: tcp-syslog\r\n    containerPort: 514\r\n    protocol: TCP\r\n    service:\r\n      type: LoadBalancer\r\n      #clusterIP: null\r\n      port: 514\r\n      #externalIPs: []\r\n      #nodePort: 32682\r\n      #annotations: {}\r\n      #labels: {}\r\n      #loadBalancerIP: null\r\n      #loadBalancerSourceRanges: []\r\n      #externalTrafficPolicy: null\r\n  # Add an additional port for OPNsense IDS alerts shipped over syslog\r\n  # serviceType \"LoadBalancer\" only works if you have deployed an Loadbalancer for example MetalLB\r\n  syslog-ids:\r\n    name: tcp-syslog-ids\r\n    containerPort: 1514\r\n    protocol: TCP\r\n    service:\r\n      type: LoadBalancer\r\n      #clusterIP: null\r\n      port: 1514\r\n      #externalIPs: []\r\n      #nodePort: 32682\r\n      #annotations: {}\r\n      #labels: {}\r\n      #loadBalancerIP: null\r\n      #loadBalancerSourceRanges: []\r\n      #externalTrafficPolicy: null\r\n```\r\n\r\nYou can also find our Dashboards on [GitHub](https://github.com/onzack/grafana-dashboards).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2022-12-06T14:26:22.000Z","updatedAt":"2023-09-12T08:03:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17547"},{"rel":"revisions","href":"/dashboards/17547/revisions"},{"rel":"revision","href":"/dashboards/17547/revisions/4"},{"rel":"download","href":"/dashboards/17547/revisions/4/download"},{"rel":"org","href":"/orgs/onzack"},{"rel":"images","href":"/dashboards/17547/images"},{"rel":"thumbnails","href":"/dashboards/17547/thumbnails"}]},{"id":24771,"status":1,"statusCode":"active","orgId":1654615,"orgSlug":"jwidess","orgName":"jwidess","slug":"opnsense-disk-usage","downloads":17,"revisionId":39731,"revision":2,"name":"OPNsense Disk Usage","description":"Simple dashboard for displaying Smartctl drive information gathered from an OPNsense router via Node Exporter and Prometheus.","readme":"Simple dashboard for displaying Smartctl drive information gathered from an OPNsense router via Node Exporter, Prometheus, and a shell script.\r\nMore Info: [https://grafana.com/orgs/jwidess/dashboards](https://grafana.com/orgs/jwidess/dashboards)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-01-29T21:19:08.000Z","updatedAt":"2026-01-31T02:05:47.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24771"},{"rel":"revisions","href":"/dashboards/24771/revisions"},{"rel":"revision","href":"/dashboards/24771/revisions/2"},{"rel":"download","href":"/dashboards/24771/revisions/2/download"},{"rel":"org","href":"/orgs/jwidess"},{"rel":"images","href":"/dashboards/24771/images"},{"rel":"thumbnails","href":"/dashboards/24771/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21113,"status":1,"statusCode":"active","orgId":298656,"orgSlug":"ihatemodels","orgName":"AthennaMind","slug":"opnsense","downloads":9087,"revisionId":32850,"revision":1,"name":"OPNSense Exporter","description":"Dashboard for the OPNsense Prometheus Exporter\r\n\r\nhttps://github.com/AthennaMind/opnsense-exporter\r\n\r\nFrom the AthennaMind \r\n   Team","readme":"Focusing specifically on OPNsense, this exporter provides metrics about OPNsense, the plugin ecosystem and the services running on the firewall. 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Unbound","description":"OPNsense Firewall","readme":"How to : https://github.com/b4b857f6ee/opnsense_grafana_dashboard","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-11-11T10:10:29.000Z","updatedAt":"2021-01-29T16:57:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13385"},{"rel":"revisions","href":"/dashboards/13385/revisions"},{"rel":"revision","href":"/dashboards/13385/revisions/2"},{"rel":"download","href":"/dashboards/13385/revisions/2/download"},{"rel":"org","href":"/orgs/b4b857f6ee"},{"rel":"images","href":"/dashboards/13385/images"},{"rel":"thumbnails","href":"/dashboards/13385/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16052,"status":1,"statusCode":"active","orgId":626646,"orgSlug":"shiftsystems","orgName":"shiftsystems","slug":"opnsense-metrics","downloads":330,"revisionId":27905,"revision":3,"name":"OPNSense Metrics","description":"","readme":"This will gather usage metrics, filterlog, and unbound logs from opnsense. These configs are are a part of ShiftMon. The full ShiftMon setup for metrics, logs, and grafana can be found below. \r\n\r\nhttps://gitlab.com/shiftsystems/shift-rmm","collectorType":"Telegraf","collectorConfig":"Along with enabling and configuring influxdbv1 output in the telegraf plugin you need to add the following in a file in /usr/local/etc/telegraf.d/ Telegraf must be running as root to gather all the data\r\n\r\n```\r\n[[inputs.tail]]\r\n  name_override = \"resolver\"\r\n  data_format = \"grok\"\r\n  grok_patterns = ['''%{SYSLOGTIMESTAMP:timestamp} %{GREEDYDATA:hostname} unbound\\[%{INT}\\]: \\[%{INT:pid}:%{INT:thread}\\] %{DATA:level}: %{DATA:querying_ip} %{DATA:domain} %{DATA:record_type} %{GREEDYDATA}''']\r\n  files = [\"/var/log/resolver/resolver_*\"]\r\n[[inputs.exec]]\r\n  commands = [\"opnsense-version\"]\r\n  data_format = \"grok\"\r\n  grok_patterns = ['''%{DATA:os} %{DATA:version} \\(%{DATA:arch}\\/%{DATA:ssl_type}\\)''']\r\n  name_suffix = \"_opnsense_version\"\r\n  interval = \"1m\"\r\n\r\n[[outputs.loki]]\r\n  domain = \"https://loki.example.com:3100\"\r\n  namepass = [\"suricata\",\"syslog\",\"tail*\",\"exec*\",\"resolver*\"]\r\n  insecure_skip_verify = true\r\n  username = \"$loki_user\"\r\n  password = \"$loki_password\"\r\n```\r\nsyslog info is gather with by configuring [remote logging]() in opnsense to a telegraf instance with this config and port 6514 udp open\r\n```\r\n[[inputs.syslog]]\r\n  server = \"udp://:6514\"\r\n```","collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2022-04-05T04:21:25.000Z","updatedAt":"2023-02-25T14:06:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16052"},{"rel":"revisions","href":"/dashboards/16052/revisions"},{"rel":"revision","href":"/dashboards/16052/revisions/3"},{"rel":"download","href":"/dashboards/16052/revisions/3/download"},{"rel":"org","href":"/orgs/shiftsystems"},{"rel":"images","href":"/dashboards/16052/images"},{"rel":"thumbnails","href":"/dashboards/16052/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":16197,"status":1,"statusCode":"active","orgId":640207,"orgSlug":"mimirtech","orgName":"mimirtech","slug":"opnsense-metrics","downloads":1024,"revisionId":24600,"revision":1,"name":"Opnsense Metrics (FluxQL)","description":"opnsense metrics from InfluxDB/FluxQL using Telegraf. 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See my screenshots for the settings.","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-05-02T03:10:00.000Z","updatedAt":"2022-05-02T05:56:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16197"},{"rel":"revisions","href":"/dashboards/16197/revisions"},{"rel":"revision","href":"/dashboards/16197/revisions/1"},{"rel":"download","href":"/dashboards/16197/revisions/1/download"},{"rel":"org","href":"/orgs/mimirtech"},{"rel":"images","href":"/dashboards/16197/images"},{"rel":"thumbnails","href":"/dashboards/16197/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24738,"status":1,"statusCode":"active","orgId":1648901,"orgSlug":"christianlempa","orgName":"clcreative","slug":"opnsense-monitoring","downloads":80,"revisionId":39658,"revision":1,"name":"OPNSense Monitoring","description":"Comprehensive monitoring dashboard designed for the OPNSense firewall/router operating system. 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PostgreSQL Flexi","description":"https://github.com/yesoreyeram/grafana-azure-dashboards","readme":"This dashboard will fetch all the Azure Monitor metrics on Grafana, For fetching the metrics on Grafana we need to install Azure Monitor Plugin on Grafana and then integrate the same with Azure Monitor by creating a service principal account on the Azure side.\r\n\r\n### Metrics we are monitoring \r\n- CPU Usage\r\n- Memory Usage\r\n- IOPS\r\n- Storage Usage\r\n- Free Storage\r\n- Active Connections\r\n- Used Storage\r\n- Failed Connections\r\n- Network In & Out\r\n- Read Throughput / Sec\r\n- Write Throughput / Sec\r\n- Write IOPS\r\n- Read IOPS\r\n- Transaction Log Storage Used\r\n- Disk Queue Depth\r\n- Backup Storage Used\r\n\r\n### Integration\r\nPlease [click here](https://docs.microsoft.com/en-us/azure/azure-monitor/visualize/grafana-plugin#:~:text=Go%20to%20the%20Grafana%20Home,data%20source%20you've%20configured.) to follow the official documentation for the Azure  integration\r\n\r\n### Contributor Information\r\n**vineet.yadav@opstree.com**","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Azure Monitor","privacy":"public","createdAt":"2022-04-05T14:10:48.000Z","updatedAt":"2022-06-03T12:39:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16057"},{"rel":"revisions","href":"/dashboards/16057/revisions"},{"rel":"revision","href":"/dashboards/16057/revisions/1"},{"rel":"download","href":"/dashboards/16057/revisions/1/download"},{"rel":"org","href":"/orgs/opstreedevops"},{"rel":"images","href":"/dashboards/16057/images"},{"rel":"thumbnails","href":"/dashboards/16057/thumbnails"}],"datasourceSlugs":["grafana-azure-monitor-datasource"]},{"id":16532,"status":1,"statusCode":"active","orgId":383613,"orgSlug":"opstreedevops","orgName":"opstreedevops","slug":"opstree-elasticsearch-dashboard","downloads":1971,"revisionId":26934,"revision":2,"name":"Opstree/Elasticsearch Dashboard","description":"Display Elasticsearch metrics","readme":"## Elasticsearch Cluster Dashboard\r\n\r\n### Metrics List\r\n- Cluster Health\r\n- Unassigned Shards\r\n- Query Time\t\r\n- Active Shard\r\n- Initializing Shards\r\n- Reallocating Shards\r\n- Delayed Shards\r\n- Thread Pool Queued\r\n- Thread Pool Active\r\n- Thread Pool Rejected\r\n- GC Time\r\n- JVM Heap Utilization\r\n- CPU Utilization \r\n- Load Average\r\n- Indexing Time \r\n- Merging Time\r\n- Node failure\r\n- Disk utilization \r\n\r\n ### Contributor Information\r\n**nitish.jha@opstree.com**","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-07-04T10:06:43.000Z","updatedAt":"2022-12-06T04:40:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/16532"},{"rel":"revisions","href":"/dashboards/16532/revisions"},{"rel":"revision","href":"/dashboards/16532/revisions/2"},{"rel":"download","href":"/dashboards/16532/revisions/2/download"},{"rel":"org","href":"/orgs/opstreedevops"},{"rel":"images","href":"/dashboards/16532/images"},{"rel":"thumbnails","href":"/dashboards/16532/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16487,"status":1,"statusCode":"active","orgId":383613,"orgSlug":"opstreedevops","orgName":"opstreedevops","slug":"opstree-elasticsearch-sre-dashboard","downloads":329,"revisionId":25156,"revision":1,"name":"Opstree/Elasticsearch SRE","description":"Display Elasticsearch metrics for SRE","readme":"##ES Metrics\r\n\r\n**Availability:**\r\n- Cluster Health\r\n\r\n**Reliability:**\r\n- Unassigned Shards\r\n- Query Time\r\n\r\n**Serviceability:**\r\n- Active Shard\r\n- Initializing Shards\r\n- Reallocating Shards\r\n- Delayed Shards\r\n- Thread Pool Queued\r\n- Thread Pool Active\r\n- Thread Pool Rejected\r\n- GC Time\r\n- JVM Heap Utilization\r\n- CPU Utilization \r\n- Load Average\r\n- Indexing Time \r\n- Merging Time\r\n\r\n**Error:**\r\n- Node failure\r\n- Disk utilization\r\n\r\n ### Contributor Information\r\n**nitish.jha@opstree.com**","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-06-22T05:18:41.000Z","updatedAt":"2022-06-23T03:21:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16487"},{"rel":"revisions","href":"/dashboards/16487/revisions"},{"rel":"revision","href":"/dashboards/16487/revisions/1"},{"rel":"download","href":"/dashboards/16487/revisions/1/download"},{"rel":"org","href":"/orgs/opstreedevops"},{"rel":"images","href":"/dashboards/16487/images"},{"rel":"thumbnails","href":"/dashboards/16487/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17543,"status":1,"statusCode":"active","orgId":383613,"orgSlug":"opstreedevops","orgName":"opstreedevops","slug":"haproxy","downloads":530,"revisionId":26935,"revision":1,"name":"Opstree/HAProxy","description":"HAProxy backend servers","readme":"## Metrics include:\r\n**Frontend Monitoring Metrics**\r\n- Request Rate [req_rate]\r\n- Session Rate\r\n- Error Requests\r\n- Denied Requests\r\n- HTTPS Response Codes 4xx and 5xx\r\n- Network I/O\r\n\r\n**Backend Monitoring Metrics**\r\n- Response Time\r\n- Error Connections\r\n- Denied responses\r\n- Error Response\r\n- Average Time Spent in Queue\r\n- Number of Requests in Queue\r\n\r\n### Contributor 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Cluster, Replication, cursor, and server metrics using Mongodb Exporter by percona","readme":"##MongoDB Dashboard\r\nThis Dashboard depicts the metrics of Mongodb Cluster in replication mode using [MongoDB Exporter](https://github.com/percona/mongodb_exporter). Following is the list of metrics we are monitoring.\r\n\r\n##Prerequisite\r\n- [MongoDB Exporter](https://github.com/percona/mongodb_exporter)\r\n- Node Exporter\r\n\r\n**Cluster**\r\n- MongoDB Service UP\r\n- MongoDB Uptime\r\n- Current Connections\r\n- Total Created Connections\r\n- Available Connections\r\n- Active Connections\r\n- Received Insert Operations\r\n- Received Update Operations\r\n- Received Command Operations\r\n- Received Queries\r\n- Received Delete Operations\r\n- Received getMore Operations\r\n- Total Collections per DB\r\n- Total Index per DB\r\n- Total Views per DB\r\n- Allocated Storage to Collections in DB\r\n- Allocated Storage to indexes in DB\r\n\r\n**Replication Set Metrics**\r\n- Primary and Seconday Nodes\r\n- Max Maaber Ping Time\r\n- OpLog Size\r\n- Replication Lag\r\n- Replication Last Election\r\n\r\n**Cursor Metrics**\r\n- Cursor Timeout\r\n- Cursor TotalOpened\r\n\r\n**Server Metrics**\r\n- CPU%\r\n- Memory Utilization\r\n- Network I/O\r\n- Disk I/O\r\n- Disk Space Utilization\r\n\r\n\r\n## Service File to run Mongodb Exporter\r\n```\r\n[Unit]\r\nDescription=Mongodb Exporter\r\nWants=network-online.target\r\nAfter=network-online.target\r\n\r\n[Service]\r\nUser=root\r\nGroup=root\r\nType=simple\r\nExecStart=/usr/local/bin/mongodb_exporter --mongodb.uri=mongodb://mongodb_exporter:{{ mongodb_exporter_user_password }}@{{ mongodb_host }}:{{ mongodb_port }} --collect-all\r\n\r\n[Install]\r\nWantedBy=multi-user.target\r\n```\r\n### Contributor Information\r\n**mahesh.kumar@opstree.com**\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-06-22T16:18:50.000Z","updatedAt":"2022-06-24T08:33:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/16490"},{"rel":"revisions","href":"/dashboards/16490/revisions"},{"rel":"revision","href":"/dashboards/16490/revisions/1"},{"rel":"download","href":"/dashboards/16490/revisions/1/download"},{"rel":"org","href":"/orgs/opstreedevops"},{"rel":"images","href":"/dashboards/16490/images"},{"rel":"thumbnails","href":"/dashboards/16490/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23153,"status":1,"statusCode":"active","orgId":1386769,"orgSlug":"seaterscredos3g","orgName":"seaterscredos3g","slug":"opstree-mongodb-dashboard","downloads":293,"revisionId":36618,"revision":1,"name":"Opstree/Mongodb Dashboard","description":"MongoDB Dashboard with Cluster, Replication, cursor, and server metrics using Mongodb Exporter by percona","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-03-26T10:05:45.000Z","updatedAt":"2025-03-26T10:06:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23153"},{"rel":"revisions","href":"/dashboards/23153/revisions"},{"rel":"revision","href":"/dashboards/23153/revisions/1"},{"rel":"download","href":"/dashboards/23153/revisions/1/download"},{"rel":"org","href":"/orgs/seaterscredos3g"},{"rel":"images","href":"/dashboards/23153/images"},{"rel":"thumbnails","href":"/dashboards/23153/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16504,"status":1,"statusCode":"active","orgId":383613,"orgSlug":"opstreedevops","orgName":"opstreedevops","slug":"opstree-mongodb-sre-dashboard","downloads":558,"revisionId":25180,"revision":1,"name":"Opstree/Mongodb SRE Dashboard","description":"Mongodb Cluster Dashboard for SRE.","readme":"##MongoDB Dashboard\r\nThis Dashboard depicts the metrics of Mongodb Cluster in replication mode using [MongoDB Exporter](https://github.com/percona/mongodb_exporter). Following is the list of metrics we are monitoring.\r\n\r\n##Prerequisite\r\n- [MongoDB Exporter](https://github.com/percona/mongodb_exporter)\r\n- Node Exporter\r\n\r\n**Availability**\r\n- MongoService UP\r\n- MongoDB Uptime\r\n- Primary and Secondary Nodes\r\n\r\n**Reliability**\r\n- Received Insert Operations\r\n- Received Update Operations\r\n- Received Command Operations\r\n- Received Queries\r\n- Received Delete Operations\r\n- Total Collection per DB\r\n- Total Index per DB\r\n- Total views per DB\r\n- Allocated Storage to Indexs in DB\r\n- Allocated Storage to Collections in DB\r\n\r\n**Investigative**\r\n- Replication Lag\r\n- Max Member Ping Time\r\n- ReplSet Last Election\r\n- CPU%\r\n- Memory Utilization\r\n- Network I/O\r\n- Disk I/O\r\n\r\n## Service File to run Mongodb Exporter\r\n```\r\n[Unit]\r\nDescription=Mongodb Exporter\r\nWants=network-online.target\r\nAfter=network-online.target\r\n\r\n[Service]\r\nUser=root\r\nGroup=root\r\nType=simple\r\nExecStart=/usr/local/bin/mongodb_exporter --mongodb.uri=mongodb://mongodb_exporter:{{ mongodb_exporter_user_password }}@{{ mongodb_host }}:{{ mongodb_port }} --collect-all\r\n\r\n[Install]\r\nWantedBy=multi-user.target\r\n```\r\n### Contributor Information\r\n**mahesh.kumar@opstree.com**\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-06-24T08:17:23.000Z","updatedAt":"2022-06-24T08:32:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16504"},{"rel":"revisions","href":"/dashboards/16504/revisions"},{"rel":"revision","href":"/dashboards/16504/revisions/1"},{"rel":"download","href":"/dashboards/16504/revisions/1/download"},{"rel":"org","href":"/orgs/opstreedevops"},{"rel":"images","href":"/dashboards/16504/images"},{"rel":"thumbnails","href":"/dashboards/16504/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16813,"status":1,"statusCode":"active","orgId":383613,"orgSlug":"opstreedevops","orgName":"opstreedevops","slug":"nginx","downloads":460,"revisionId":25778,"revision":1,"name":"Opstree/Nginx","description":"Grafana Dashboard for Nginx Web Server.","readme":"## Installation:\r\nUse these commands for Installation\r\ngit clone https://github.com/knyar/nginx-lua-prometheus.git\r\nsudo apt-get install libnginx-mod-http-lua\r\n\r\n## Dependencies:\r\nAdd the following to the http section of nginx.conf:\r\n`sudo vi /etc/nginx/nginx.conf`\r\n\r\n# Virtual Host Configs\r\n```\r\n    include /etc/nginx/conf.d/*.conf;\r\n    include /etc/nginx/sites-enabled/*;\r\n        \r\n        lua_shared_dict prometheus_metrics 10M;\r\n        lua_package_path \"/path/to/nginx-lua-prometheus/?.lua;;\";\r\n        init_worker_by_lua_block {\r\n          prometheus = require(\"prometheus\").init(\"prometheus_metrics\")\r\n          metric_requests = prometheus:counter(\r\n            \"nginx_http_requests_total\", \"Number of HTTP requests\", {\"host\", \"status\"})\r\n          metric_latency = prometheus:histogram(\r\n            \"nginx_http_request_duration_seconds\", \"HTTP request latency\", {\"host\"})\r\n          metric_connections = prometheus:gauge(\r\n            \"nginx_http_connections\", \"Number of HTTP connections\", {\"state\"})\r\n        }\r\n        log_by_lua_block {\r\n          metric_requests:inc(1, {ngx.var.server_name, ngx.var.status})\r\n          metric_latency:observe(tonumber(ngx.var.request_time), {ngx.var.server_name})\r\n        }\r\n```\r\nLast step is to configure a separate server that will expose the metrics. Please make sure to only make it reachable from your Prometheus server:\r\nsudo vi /etc/nginx/sites-enabled/default\r\n\r\n```\r\nserver {\r\n  listen 9145;\r\n  #allow 192.168.0.0/16;\r\n  #deny all;\r\n  location /metrics {\r\n    content_by_lua_block {\r\n      metric_connections:set(ngx.var.connections_reading, {\"reading\"})\r\n      metric_connections:set(ngx.var.connections_waiting, {\"waiting\"})\r\n      metric_connections:set(ngx.var.connections_writing, {\"writing\"})\r\n      prometheus:collect()\r\n    }\r\n  }\r\n}\r\n```\r\n\r\nMetrics will be available at http://your.nginx:9145/metrics\r\n\r\n### kirti.nehra@opstree.com","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-08-30T04:33:46.000Z","updatedAt":"2022-08-30T09:49:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16813"},{"rel":"revisions","href":"/dashboards/16813/revisions"},{"rel":"revision","href":"/dashboards/16813/revisions/1"},{"rel":"download","href":"/dashboards/16813/revisions/1/download"},{"rel":"org","href":"/orgs/opstreedevops"},{"rel":"images","href":"/dashboards/16813/images"},{"rel":"thumbnails","href":"/dashboards/16813/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15780,"status":1,"statusCode":"active","orgId":383613,"orgSlug":"opstreedevops","orgName":"opstreedevops","slug":"opstree-node-exporter","downloads":1437,"revisionId":27128,"revision":5,"name":"Opstree/Node Exporter","description":"Grafana Dashboard for Host Level Metrics using Node Exporter","readme":"## Metrics of Dashboards\r\n- CPU Graph\r\n- CPU Core\r\n- Uptime\r\n- System Load Avg.\r\n- Memory Basic\r\n- RAM info (Total, Available RAM, Used RAM)\r\n- Disk Space Used\r\n- Root File System in GB (Total, Available, Used)\r\n- Network I/O\r\n- Disk I/O\r\n- Free inodes\r\n\r\n ### Contributor Information\r\n**nitish.jha@opstree.com**","collectorType":"nodeExporter","collectorConfig":"Add the following config to the configuration file of Prometheus.\r\n```\r\n  - job_name: node\r\n    static_configs:\r\n      - targets: ['localhost:9100']\r\n```","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-02-18T16:05:46.000Z","updatedAt":"2022-12-20T14:35:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/15780"},{"rel":"revisions","href":"/dashboards/15780/revisions"},{"rel":"revision","href":"/dashboards/15780/revisions/5"},{"rel":"download","href":"/dashboards/15780/revisions/5/download"},{"rel":"org","href":"/orgs/opstreedevops"},{"rel":"images","href":"/dashboards/15780/images"},{"rel":"thumbnails","href":"/dashboards/15780/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16486,"status":1,"statusCode":"active","orgId":383613,"orgSlug":"opstreedevops","orgName":"opstreedevops","slug":"opstree-node-sre-dashboard","downloads":413,"revisionId":25155,"revision":1,"name":"Opstree/Node Exporter SRE Dashboard","description":"Grafana Dashboard for Host Level Metrics using Node Exporter for SRE.","readme":"## Metrics of Dashboards\r\n**Availability:**\r\n- Uptime\r\n\r\n**Reliability:**\r\n- CPU Usage\r\n- Memory Usage\r\n- Disk Usage\r\n\r\n**Investigative metrics:**\r\n- Free Inodes Data\r\n- Sys Load Avg\r\n- Network Traffic I/O\r\n- Disk I/O\r\n\r\n ### Contributor Information\r\n**nitish.jha@opstree.com**","collectorType":"nodeExporter","collectorConfig":"Add the following config to the configuration file of Prometheus.\r\n```\r\n  - job_name: node\r\n    static_configs:\r\n      - targets: ['localhost:9100']\r\n```","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-06-22T05:12:07.000Z","updatedAt":"2022-06-23T03:23:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16486"},{"rel":"revisions","href":"/dashboards/16486/revisions"},{"rel":"revision","href":"/dashboards/16486/revisions/1"},{"rel":"download","href":"/dashboards/16486/revisions/1/download"},{"rel":"org","href":"/orgs/opstreedevops"},{"rel":"images","href":"/dashboards/16486/images"},{"rel":"thumbnails","href":"/dashboards/16486/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16806,"status":1,"statusCode":"active","orgId":383613,"orgSlug":"opstreedevops","orgName":"opstreedevops","slug":"postgresql-dashboard","downloads":1389,"revisionId":25763,"revision":1,"name":"Opstree/Postgresql Dashboard","description":"PostgreSQL Dashboard","readme":"### Exporters we are using\r\n- Node Exporter\r\n- PostgreSQL Exporter\r\n\r\n## Metrics List\r\n- Postgresql\r\n- Status\r\n- PG buffer cache hit rate in %\r\n- Total/current connections in %\r\n- Transaction per second\r\n- Version\r\n- Active session\r\n\r\n- Active connection\r\n- Postgresql COnnections\r\n- Longest Transaction\r\n- Lock Tables\r\n- Transactions-Commit and rollback\r\n- Database size\r\n- PostgreSQL Settings info\r\n- Systeminfo\r\n- CPU\r\n- Memory\r\n- Disk Space\r\n- Disk I/O","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-08-29T11:26:47.000Z","updatedAt":"2022-08-29T14:04:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16806"},{"rel":"revisions","href":"/dashboards/16806/revisions"},{"rel":"revision","href":"/dashboards/16806/revisions/1"},{"rel":"download","href":"/dashboards/16806/revisions/1/download"},{"rel":"org","href":"/orgs/opstreedevops"},{"rel":"images","href":"/dashboards/16806/images"},{"rel":"thumbnails","href":"/dashboards/16806/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16063,"status":1,"statusCode":"active","orgId":383613,"orgSlug":"opstreedevops","orgName":"opstreedevops","slug":"opstree-rabbitmq-dashboard","downloads":673,"revisionId":24703,"revision":2,"name":"opstree/Rabbitmq Dashboard","description":"Rabbitmq stats and alerting using RabbitMQ Exporter (https://github.com/kbudde/rabbitmq_exporter)","readme":"RabbitMQ Dashboard will fetch the metrics through the exporter that is deployed on the k8’s cluster.\r\n\r\n## Installation Steps For RabbitMQ Node Exporter Using Helm\r\n- helm repo add prometheus-community https://prometheus-community.github.io/helm-charts\r\n- helm show values prometheus-community/prometheus-rabbitmq-exporter > rabbitexp_values.yaml\r\n- Inside rabbitexp_values.yaml Please make the below changes\r\n\r\n **rabbitmq:**\r\n```\r\n Url: http://RABBITMQ.URL:15672 (#Add rabbitmq URL here)\r\n user: user (#Add username of RabbitMQ)\r\n password: guest (#we can add Password here or we can give Secret reference below)\r\n```\r\n\r\n ### If existingPasswordSecret is set then password will be ignored\r\n```\r\nexistingPasswordSecret: rabbitmq (#Add secret name of RabbitMQ which contain password)\r\nexistingPasswordSecretKey: rabbitmq-password\r\n\r\nFor installation of RabbitMQ on Server Please use the exporter: https://github.com/kbudde/rabbitmq_exporter\r\n```\r\n## Prometheus configuration\r\n```\r\nscrape_configs:      \r\n  - job_name: 'RabbitMQ’      \r\n    static_configs:\r\n      - targets: ['x.x.x.x:9419']\r\n    relabel_configs:\r\n      - source_labels: [__address__]\r\n        target_label: instance\r\n        regex: '.*'\r\n        replacement: 'RabbiMQ_Server’\r\n```\r\n\r\n## Metrics we are monitoring\r\n- Nodes Status\r\n- Uptime\r\n- Current Total Ready Messages\r\n- Current Total Consumers\r\n- Current Total Queue Messages\r\n- Total Channels\r\n- Total Outgoing Messages\r\n- Total Connections\r\n- Current Total Unacknowledged Message\r\n- Total Exchanges\r\n- Total Queues\r\n- Total Published Messages\r\n- Total Nodes\r\n- Messages per Queue\r\n- Messages per Consumer\r\n- Messages status\r\n- Connections, channels and consumers\r\n- Disk free\r\n- Memory Usage\r\n\r\n### Contributor Information\r\n**vineet.yadav@opstree.com**","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-04-06T04:35:14.000Z","updatedAt":"2022-06-03T12:37:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16063"},{"rel":"revisions","href":"/dashboards/16063/revisions"},{"rel":"revision","href":"/dashboards/16063/revisions/2"},{"rel":"download","href":"/dashboards/16063/revisions/2/download"},{"rel":"org","href":"/orgs/opstreedevops"},{"rel":"images","href":"/dashboards/16063/images"},{"rel":"thumbnails","href":"/dashboards/16063/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16056,"status":1,"statusCode":"active","orgId":383613,"orgSlug":"opstreedevops","orgName":"opstreedevops","slug":"redis-dashboard-opstree","downloads":1433,"revisionId":24361,"revision":1,"name":"opstree/Redis Dashboard","description":"Redis Dashboard","readme":"The Redis dashboard will display data collected by the Prometheus redis_exporter.\r\n\r\n### Prometheus configuration\r\n```\r\nscrape_configs:      \r\n  - job_name: 'Redis'       \r\n    static_configs:\r\n      - targets: ['x.x.x.x:9121']\r\n    relabel_configs:\r\n      - source_labels: [__address__]\r\n        target_label: instance\r\n        regex: '.*'\r\n        replacement: 'Redis_Server’\r\n```\r\n\r\n### Metrics we are monitoring\r\n- Health Status\r\n- Uptime\r\n- Memory Usage\r\n- No of Masters\r\n- Clients\r\n- Total Rejected Connections\r\n- Last Backup\r\n- Clients Historical Data\r\n- Command latency per second\r\n- Memory Fragmentation Ratio per instance\r\n- Command Calls per second\r\n- Expiring vs Not-Expiring Keys\r\n- Hiss/Misses\r\n- Miss ratio Per instance\r\n- Hit Ratio Per instance\r\n- Command Executed Per Second\r\n- Command Calls Per Second\r\n- Connected Slaves\r\n- Total Connection Received\r\n- Network in & Out\r\n- Redis Replication \r\n- Total Memory Usage\r\n- Key Evicted\r\n- Total Items per DB\r\n\r\n## Contributor Information\r\n**vineet.yadav@opstree.com**","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-04-05T13:58:30.000Z","updatedAt":"2022-06-03T12:35:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16056"},{"rel":"revisions","href":"/dashboards/16056/revisions"},{"rel":"revision","href":"/dashboards/16056/revisions/1"},{"rel":"download","href":"/dashboards/16056/revisions/1/download"},{"rel":"org","href":"/orgs/opstreedevops"},{"rel":"images","href":"/dashboards/16056/images"},{"rel":"thumbnails","href":"/dashboards/16056/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15005,"status":1,"statusCode":"active","orgId":528324,"orgSlug":"greatasher7","orgName":"greatasher7","slug":"opusm-influxdb","downloads":428,"revisionId":22411,"revision":1,"name":"opusm_Influxdb","description":"opusm test dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-09-14T02:02:16.000Z","updatedAt":"2021-09-14T02:03:50.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15005"},{"rel":"revisions","href":"/dashboards/15005/revisions"},{"rel":"revision","href":"/dashboards/15005/revisions/1"},{"rel":"download","href":"/dashboards/15005/revisions/1/download"},{"rel":"org","href":"/orgs/greatasher7"},{"rel":"images","href":"/dashboards/15005/images"},{"rel":"thumbnails","href":"/dashboards/15005/thumbnails"}]},{"id":9249,"status":1,"statusCode":"active","orgId":210797,"orgSlug":"marvinn","orgName":"marvinn","slug":"oracle","downloads":1875,"revisionId":12786,"revision":1,"name":"Oracle","description":"Monitor your Oracle database with Grafana with Prometheus","readme":"Leverage Prometheus to monitor your Oracle database and visualize in a Grafana dashboard.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-11-29T06:51:16.000Z","updatedAt":"2020-04-10T23:11:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9249"},{"rel":"revisions","href":"/dashboards/9249/revisions"},{"rel":"revision","href":"/dashboards/9249/revisions/1"},{"rel":"download","href":"/dashboards/9249/revisions/1/download"},{"rel":"org","href":"/orgs/marvinn"},{"rel":"images","href":"/dashboards/9249/images"},{"rel":"thumbnails","href":"/dashboards/9249/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11283,"status":1,"statusCode":"active","orgId":316209,"orgSlug":"wanghy8166","orgName":"wanghy8166","slug":"oracle","downloads":729,"revisionId":16229,"revision":2,"name":"oracle","description":"https://github.com/Corundex/database_exporter/","readme":"# database_exporter\nmkdir -p /usr/local/database_exporter  \ncd /usr/local/database_exporter  \nwget https://github.com/Corundex/database_exporter/releases/download/0.6.6/database_exporter.tar.gz  \ntar zxvf database_exporter.tar.gz -C /usr/local/database_exporter  \n# 创建systemd服务\ncat > /usr/lib/systemd/system/database_exporter.service <<EOF  \n[Unit]  \nDescription=database_exporter  \nAfter=network.target  \n\n[Service]  \nType=simple  \nUser=root  \nEnvironment=\"LD_LIBRARY_PATH=/usr/lib/oracle/12.2/client64/lib\"  \nExecStart=/usr/local/database_exporter/database_exporter -config.file /usr/local/database_exporter/config/oracle_exporter_test002.yml  \nRestart=on-failure  \n\n[Install]  \nWantedBy=multi-user.target  \nEOF  \n# 启动database_exporter\nsystemctl daemon-reload  \nsystemctl start database_exporter  \nsystemctl status database_exporter  \nsystemctl enable database_exporter  ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-26T14:49:49.000Z","updatedAt":"2020-01-07T07:09:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11283"},{"rel":"revisions","href":"/dashboards/11283/revisions"},{"rel":"revision","href":"/dashboards/11283/revisions/2"},{"rel":"download","href":"/dashboards/11283/revisions/2/download"},{"rel":"org","href":"/orgs/wanghy8166"},{"rel":"images","href":"/dashboards/11283/images"},{"rel":"thumbnails","href":"/dashboards/11283/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12540,"status":1,"statusCode":"active","orgId":233053,"orgSlug":"rlibralon","orgName":"Romulo Libralon Ramos","slug":"oracle-details-ge4","downloads":1124,"revisionId":18018,"revision":1,"name":"Oracle Performance","description":"Oracle Performance for IBM APM Datasource","readme":"Oracle Performance for 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This dashboard provides an overview of the transactions and the state of Orchestrate services.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2021-02-12T16:57:58.000Z","updatedAt":"2022-05-23T14:44:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13876"},{"rel":"revisions","href":"/dashboards/13876/revisions"},{"rel":"revision","href":"/dashboards/13876/revisions/3"},{"rel":"download","href":"/dashboards/13876/revisions/3/download"},{"rel":"org","href":"/orgs/orchestrate"},{"rel":"images","href":"/dashboards/13876/images"},{"rel":"thumbnails","href":"/dashboards/13876/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":17988,"status":1,"statusCode":"active","orgId":568285,"orgSlug":"yannivalin","orgName":"yannivalin","slug":"orchestrator-overview-nightnode","downloads":293,"revisionId":27577,"revision":1,"name":"Orchestrator Overview NightNode","description":"Live Peer Salty-Minning.eth","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"JSON API, Prometheus","privacy":"public","createdAt":"2023-01-29T00:17:06.000Z","updatedAt":"2023-01-29T00:17:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17988"},{"rel":"revisions","href":"/dashboards/17988/revisions"},{"rel":"revision","href":"/dashboards/17988/revisions/1"},{"rel":"download","href":"/dashboards/17988/revisions/1/download"},{"rel":"org","href":"/orgs/yannivalin"},{"rel":"images","href":"/dashboards/17988/images"},{"rel":"thumbnails","href":"/dashboards/17988/thumbnails"}],"datasourceSlugs":["marcusolsson-json-datasource","prometheus"]},{"id":19719,"status":1,"statusCode":"active","orgId":929534,"orgSlug":"evanlipton","orgName":"evanlipton","slug":"origen-plans-ercot-template-copy","downloads":418,"revisionId":30260,"revision":1,"name":"Origen Plans -- ERCOT -- Template Copy","description":"Test dashboard for virtual battery","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"JSON API","privacy":"public","createdAt":"2023-10-05T20:00:14.000Z","updatedAt":"2023-10-05T20:00:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19719"},{"rel":"revisions","href":"/dashboards/19719/revisions"},{"rel":"revision","href":"/dashboards/19719/revisions/1"},{"rel":"download","href":"/dashboards/19719/revisions/1/download"},{"rel":"org","href":"/orgs/evanlipton"},{"rel":"images","href":"/dashboards/19719/images"},{"rel":"thumbnails","href":"/dashboards/19719/thumbnails"}],"datasourceSlugs":["marcusolsson-json-datasource"]},{"id":3526,"status":1,"statusCode":"active","orgId":22958,"orgSlug":"idomyowntricks","orgName":"Brian Christner","slug":"faas","downloads":24190,"revisionId":4858,"revision":2,"name":"Original Open FaaS Dashboard","description":"OpenFaaS dashboard with autoscaling","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-10-23T18:35:43.000Z","updatedAt":"2017-10-23T18:43:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/3526"},{"rel":"revisions","href":"/dashboards/3526/revisions"},{"rel":"revision","href":"/dashboards/3526/revisions/2"},{"rel":"download","href":"/dashboards/3526/revisions/2/download"},{"rel":"org","href":"/orgs/idomyowntricks"},{"rel":"images","href":"/dashboards/3526/images"},{"rel":"thumbnails","href":"/dashboards/3526/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17225,"status":1,"statusCode":"active","orgId":403487,"orgSlug":"willguitaradmfar","orgName":"willguitaradmfar","slug":"orki-dashboard","downloads":262,"revisionId":26459,"revision":1,"name":"Orki Dashboard","description":"Orki Dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-10-19T15:46:04.000Z","updatedAt":"2022-10-19T15:46:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17225"},{"rel":"revisions","href":"/dashboards/17225/revisions"},{"rel":"revision","href":"/dashboards/17225/revisions/1"},{"rel":"download","href":"/dashboards/17225/revisions/1/download"},{"rel":"org","href":"/orgs/willguitaradmfar"},{"rel":"images","href":"/dashboards/17225/images"},{"rel":"thumbnails","href":"/dashboards/17225/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12626,"status":1,"statusCode":"active","orgId":399637,"orgSlug":"j0nix","orgName":"Jon Svendsen","slug":"os-stats-linux","downloads":1880,"revisionId":18157,"revision":1,"name":"OS stats - Linux","description":"Presentation of OS metrics collected from Metricbeat. Also including logs for correlation with logs from filebeat.","readme":"Display metrics collected with metricbeat, also... possibility to correlate your metrics with logs collected with filebeat\r\n\r\n***About Dashboard:***\r\n- Server overview\r\n- Cpu stats\r\n- Memory stats, actual used and swap\r\n- Process stats, per process cpu utilization, per process RSS memory utilization\r\n- User stats, utilization cpu and RSS memory usage per user\r\n- Disk stats, io-wait, io-rate, iops\r\n- Filesystam stats, usage in percent and bytes per disk\r\n- Network stats, io rate, drops/errors \r\n- Logs collected with filebeat","collectorType":"Beats","collectorConfig":"## Metricbeat:\r\n```\r\n- module: system\r\n  period: 30s\r\n  metricsets:\r\n    - cpu\r\n    - load\r\n    - memory\r\n    - network\r\n    - process\r\n    - process_summary\r\n    - diskio\r\n    - service\r\n    - users\r\n  process.include_top_n:\r\n    by_cpu: 10      # include top 10 processes by CPU\r\n    by_memory: 10   # include top 10 processes by memory\r\n- module: system\r\n  period: 1m\r\n  metricsets:\r\n    - filesystem\r\n    - fsstat\r\n  processors:\r\n  - drop_event.when.regexp:\r\n      system.filesystem.mount_point: '^/(sys|cgroup|proc|dev|etc|host|lib|snap)($|/)'\r\n- module: system\r\n  period: 15m\r\n  metricsets:\r\n    - uptime\r\n```\r\n\r\n## Filebeat:\r\n\r\n- Enable module system","collectorPluginList":"Metricbeat, Filebeat","datasource":"Elasticsearch","privacy":"public","createdAt":"2020-07-10T23:28:21.000Z","updatedAt":"2020-07-12T17:03:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/12626"},{"rel":"revisions","href":"/dashboards/12626/revisions"},{"rel":"revision","href":"/dashboards/12626/revisions/1"},{"rel":"download","href":"/dashboards/12626/revisions/1/download"},{"rel":"org","href":"/orgs/j0nix"},{"rel":"images","href":"/dashboards/12626/images"},{"rel":"thumbnails","href":"/dashboards/12626/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":15511,"status":1,"statusCode":"active","orgId":476448,"orgSlug":"openservicemesh","orgName":"OSM","slug":"osm-control-plane-metrics","downloads":2536,"revisionId":23793,"revision":2,"name":"OSM Control Plane Metrics","description":"Compatible with OSM v1.0.0. 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This dashboard lets you view the performance and behavior of OSM’s control plane.","readme":"This dashboard lets you view the performance and behavior of OSM’s control plane.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-03-26T00:29:57.000Z","updatedAt":"2022-03-15T16:39:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14145"},{"rel":"revisions","href":"/dashboards/14145/revisions"},{"rel":"revision","href":"/dashboards/14145/revisions/8"},{"rel":"download","href":"/dashboards/14145/revisions/8/download"},{"rel":"org","href":"/orgs/openservicemesh"},{"rel":"images","href":"/dashboards/14145/images"},{"rel":"thumbnails","href":"/dashboards/14145/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15736,"status":1,"statusCode":"active","orgId":476448,"orgSlug":"openservicemesh","orgName":"OSM","slug":"osm-pod-to-services-metrics","downloads":2523,"revisionId":23795,"revision":1,"name":"OSM Pod to Service Metrics","description":"Compatible with OSM v1.0.0. This dashboard lets you investigate the traffic metrics from a pod to all the services it connects/talks to.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-02-10T22:47:28.000Z","updatedAt":"2022-02-11T22:49:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15736"},{"rel":"revisions","href":"/dashboards/15736/revisions"},{"rel":"revision","href":"/dashboards/15736/revisions/1"},{"rel":"download","href":"/dashboards/15736/revisions/1/download"},{"rel":"org","href":"/orgs/openservicemesh"},{"rel":"images","href":"/dashboards/15736/images"},{"rel":"thumbnails","href":"/dashboards/15736/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15737,"status":1,"statusCode":"active","orgId":476448,"orgSlug":"openservicemesh","orgName":"OSM","slug":"osm-service-to-service-metrics","downloads":2515,"revisionId":23796,"revision":1,"name":"OSM Service to Service Metrics","description":"Compatible with OSM v1.0.0. This dashboard lets you view the traffic metrics from a given source service to a given destination service.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-02-10T22:49:02.000Z","updatedAt":"2022-02-11T22:38:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15737"},{"rel":"revisions","href":"/dashboards/15737/revisions"},{"rel":"revision","href":"/dashboards/15737/revisions/1"},{"rel":"download","href":"/dashboards/15737/revisions/1/download"},{"rel":"org","href":"/orgs/openservicemesh"},{"rel":"images","href":"/dashboards/15737/images"},{"rel":"thumbnails","href":"/dashboards/15737/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15739,"status":1,"statusCode":"active","orgId":476448,"orgSlug":"openservicemesh","orgName":"OSM","slug":"osm-workload-to-service-metrics","downloads":2501,"revisionId":23798,"revision":1,"name":"OSM Workload to Service Metrics","description":"Compatible with OSM v1.0.0. 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This dashboard displays the latencies of requests in the mesh from workload to workload.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-02-10T22:49:51.000Z","updatedAt":"2022-02-11T22:39:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15738"},{"rel":"revisions","href":"/dashboards/15738/revisions"},{"rel":"revision","href":"/dashboards/15738/revisions/1"},{"rel":"download","href":"/dashboards/15738/revisions/1/download"},{"rel":"org","href":"/orgs/openservicemesh"},{"rel":"images","href":"/dashboards/15738/images"},{"rel":"thumbnails","href":"/dashboards/15738/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20632,"status":1,"statusCode":"active","orgId":754982,"orgSlug":"mrezabarkhordari","orgName":"mrezabarkhordari","slug":"oss-statistics","downloads":296,"revisionId":31923,"revision":4,"name":"OSS statistics","description":"","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2024-03-05T10:32:11.000Z","updatedAt":"2024-03-09T09:11:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20632"},{"rel":"revisions","href":"/dashboards/20632/revisions"},{"rel":"revision","href":"/dashboards/20632/revisions/4"},{"rel":"download","href":"/dashboards/20632/revisions/4/download"},{"rel":"org","href":"/orgs/mrezabarkhordari"},{"rel":"images","href":"/dashboards/20632/images"},{"rel":"thumbnails","href":"/dashboards/20632/thumbnails"}]},{"id":10840,"status":1,"statusCode":"active","orgId":287243,"orgSlug":"leandro4gl","orgName":"leandro4gl","slug":"osticket-statistics","downloads":1816,"revisionId":15166,"revision":2,"name":"OsTicket Dashboard Statistics","description":"Dashboard simples para exibir a saude do servicedesk durante o dia.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2019-09-10T20:21:32.000Z","updatedAt":"2019-09-12T14:22:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/10840"},{"rel":"revisions","href":"/dashboards/10840/revisions"},{"rel":"revision","href":"/dashboards/10840/revisions/2"},{"rel":"download","href":"/dashboards/10840/revisions/2/download"},{"rel":"org","href":"/orgs/leandro4gl"},{"rel":"images","href":"/dashboards/10840/images"},{"rel":"thumbnails","href":"/dashboards/10840/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":7418,"status":1,"statusCode":"active","orgId":176351,"orgSlug":"tiagoreichert","orgName":"tiagoreichert","slug":"otc-dms","downloads":480,"revisionId":10098,"revision":2,"name":"OTC - DMS","description":"Open Telekom Cloud (OTC) Distributed Message Service (DMS) Dashboard \r\n\r\nTo be used together with following Prometheus Exporter:\r\nhttps://github.com/tiagoReichert/otc-cloudeye-prometheus-exporter","readme":"## Open Telekom Cloud (OTC) Distributed Message Service (DMS) Dashboard \r\n\r\nTo be used together with following Prometheus Exporter:\r\n- https://github.com/tiagoReichert/otc-cloudeye-prometheus-exporter","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-08-07T13:52:08.000Z","updatedAt":"2018-08-08T19:56:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7418"},{"rel":"revisions","href":"/dashboards/7418/revisions"},{"rel":"revision","href":"/dashboards/7418/revisions/2"},{"rel":"download","href":"/dashboards/7418/revisions/2/download"},{"rel":"org","href":"/orgs/tiagoreichert"},{"rel":"images","href":"/dashboards/7418/images"},{"rel":"thumbnails","href":"/dashboards/7418/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7421,"status":1,"statusCode":"active","orgId":176351,"orgSlug":"tiagoreichert","orgName":"tiagoreichert","slug":"otc-ecs","downloads":633,"revisionId":10104,"revision":3,"name":"OTC - ECS","description":"Open Telekom Cloud (OTC) Elastic Cloud Server (ECS) Dashboard \r\n\r\nTo be used together with following Prometheus Exporter:\r\nhttps://github.com/tiagoReichert/otc-cloudeye-prometheus-exporter","readme":"## Open Telekom Cloud (OTC) Elastic Cloud Server (ECS) Dashboard \r\n\r\nTo be used together with following Prometheus Exporter:\r\n- https://github.com/tiagoReichert/otc-cloudeye-prometheus-exporter\r\n\r\nCredits: Grafana dashboard created by Vithor Volkmann (https://github.com/rukichirimoshi/) ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-08-07T16:23:43.000Z","updatedAt":"2018-08-08T19:58:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7421"},{"rel":"revisions","href":"/dashboards/7421/revisions"},{"rel":"revision","href":"/dashboards/7421/revisions/3"},{"rel":"download","href":"/dashboards/7421/revisions/3/download"},{"rel":"org","href":"/orgs/tiagoreichert"},{"rel":"images","href":"/dashboards/7421/images"},{"rel":"thumbnails","href":"/dashboards/7421/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7409,"status":1,"statusCode":"active","orgId":176351,"orgSlug":"tiagoreichert","orgName":"tiagoreichert","slug":"otc-rds","downloads":598,"revisionId":10107,"revision":2,"name":"OTC - RDS","description":"Open Telekom Cloud (OTC) Relational Database Service (RDS) Dashboard \r\n\r\nTo be used together with following Prometheus Exporter:\r\nhttps://github.com/tiagoReichert/otc-cloudeye-prometheus-exporter","readme":"## Open Telekom Cloud (OTC) Relational Database Service (RDS) Dashboard \r\n\r\nTo be used together with following Prometheus Exporter:\r\n- https://github.com/tiagoReichert/otc-cloudeye-prometheus-exporter","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-08-07T10:50:04.000Z","updatedAt":"2018-08-08T19:59:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/7409"},{"rel":"revisions","href":"/dashboards/7409/revisions"},{"rel":"revision","href":"/dashboards/7409/revisions/2"},{"rel":"download","href":"/dashboards/7409/revisions/2/download"},{"rel":"org","href":"/orgs/tiagoreichert"},{"rel":"images","href":"/dashboards/7409/images"},{"rel":"thumbnails","href":"/dashboards/7409/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18681,"status":1,"statusCode":"active","orgId":618572,"orgSlug":"sergiojvg92","orgName":"sergiojvg92","slug":"otel-kubeletstats","downloads":1551,"revisionId":30342,"revision":4,"name":"Otel - kubeletstats","description":"","readme":"This dashboard shows important information from pods running in a kubernetes cluster. It relies on metrics collected using [Otel's Kubelet Stats receiver](https://github.com/open-telemetry/opentelemetry-collector-contrib/blob/main/receiver/kubeletstatsreceiver/README.md) and [Otel's Kubernetes cluster receiver](https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/receiver/k8sclusterreceiver). The following snippet shows an [OpenTelemetry collector's](https://opentelemetry.io/docs/collector/) configuration that should scrape the metrics required by this dashboard:\r\n\r\n```\r\nreceivers:\r\n  kubeletstats:\r\n    auth_type: serviceAccount\r\n    collection_interval: 20s\r\n    endpoint: https://${env:OTEL_K8S_NODE_NAME}:10250\r\n    extra_metadata_labels:\r\n    - k8s.volume.type\r\n    insecure_skip_verify: true\r\n    metric_groups:\r\n    - container\r\n    - pod\r\n    - volume\r\n    - node\r\n  k8s_cluster:\r\n    allocatable_types_to_report:\r\n    - cpu\r\n    - memory\r\n    - storage\r\n    - ephemeral-storage\r\n    collection_interval: 15s\r\n    node_conditions_to_report:\r\n    - Ready\r\n    - MemoryPressure\r\nprocessors:\r\n  resource/remove_container_id:\r\n    attributes:\r\n    - action: delete\r\n      key: container.id\r\n    - action: delete\r\n      key: container_id\r\nexporters:\r\n  prometheusremotewrite/local:\r\n    endpoint: http://prometheus-server/api/v1/write\r\n    resource_to_telemetry_conversion:\r\n      enabled: true\r\nservice:\r\n  extensions:\r\n  - health_check\r\n  - memory_ballast\r\n  pipelines\r\n    metrics:\r\n      exporters:\r\n      - prometheusremotewrite/local\r\n      processors:\r\n      - resource/remove_container_id\r\n      receivers:\r\n      - kubeletstats\r\n      - k8s_cluster\r\n```\r\n\r\nTwo things from that config snippet should be explained further:\r\n\r\n* *container_id* label is removed from metrics. The biggest reason why this is done is because, when containers get restarted, they will create a new time series (because container_id labe is different). This demands more resources from prometheus and would break some panels (like rate(containers_restart))\r\n* *prometheusremotewrite* exporter enables *resource_to_telemetry_conversion* is required to export existing attributes as prometheus labels.\r\n\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-05-06T12:08:32.000Z","updatedAt":"2023-10-13T19:42:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18681"},{"rel":"revisions","href":"/dashboards/18681/revisions"},{"rel":"revision","href":"/dashboards/18681/revisions/4"},{"rel":"download","href":"/dashboards/18681/revisions/4/download"},{"rel":"org","href":"/orgs/sergiojvg92"},{"rel":"images","href":"/dashboards/18681/images"},{"rel":"thumbnails","href":"/dashboards/18681/thumbnails"}]},{"id":18682,"status":1,"statusCode":"active","orgId":618572,"orgSlug":"sergiojvg92","orgName":"sergiojvg92","slug":"otel-node","downloads":715,"revisionId":30343,"revision":4,"name":"Otel - Node","description":"","readme":"This dashboard shows important information from pods running in a kubernetes cluster. It relies on metrics collected using [Otel's Kubelet Stats receiver](https://github.com/open-telemetry/opentelemetry-collector-contrib/blob/main/receiver/kubeletstatsreceiver/README.md) and [Otel's Kubernetes cluster receiver](https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/receiver/k8sclusterreceiver). The following snippet shows an [OpenTelemetry collector's](https://opentelemetry.io/docs/collector/) configuration that should scrape the metrics required by this dashboard:\r\n\r\n```\r\nreceivers:\r\n  hostmetrics:\r\n    collection_interval: 10s\r\n    root_path: /hostfs\r\n    scrapers:\r\n      cpu:\r\n        metrics:\r\n          system.cpu.utilization:\r\n            enabled: true\r\n      disk: null\r\n      filesystem:\r\n        exclude_fs_types:\r\n          fs_types:\r\n          - autofs\r\n          - binfmt_misc\r\n          - bpf\r\n          - cgroup2\r\n          - configfs\r\n          - debugfs\r\n          - devpts\r\n          - devtmpfs\r\n          - fusectl\r\n          - hugetlbfs\r\n          - iso9660\r\n          - mqueue\r\n          - nsfs\r\n          - overlay\r\n          - proc\r\n          - procfs\r\n          - pstore\r\n          - rpc_pipefs\r\n          - securityfs\r\n          - selinuxfs\r\n          - squashfs\r\n          - sysfs\r\n          - tracefs\r\n          match_type: strict\r\n        exclude_mount_points:\r\n          match_type: regexp\r\n          mount_points:\r\n          - /dev/*\r\n          - /proc/*\r\n          - /sys/*\r\n          - /run/k3s/containerd/*\r\n          - /var/lib/docker/*\r\n          - /var/lib/kubelet/*\r\n          - /snap/*\r\n        metrics:\r\n          system.filesystem.utilization:\r\n            enabled: true\r\n      load: null\r\n      memory:\r\n        metrics:\r\n          system.memory.utilization:\r\n            enabled: true\r\n      network: null\r\n  k8s_cluster:\r\n    allocatable_types_to_report:\r\n    - cpu\r\n    - memory\r\n    - storage\r\n    - ephemeral-storage\r\n    collection_interval: 15s\r\n    node_conditions_to_report:\r\n    - Ready\r\n    - MemoryPressure\r\nprocessors:\r\n  resourcedetection/env:\r\n    detectors:\r\n    - env\r\n  resource/remove_pod_name:\r\n    attributes:\r\n    - action: delete\r\n      key: k8s.pod.name\r\n    - action: delete\r\n      key: k8s_pod_name\r\n  resource/remove_container_id:\r\n    attributes:\r\n    - action: delete\r\n      key: container.id\r\n    - action: delete\r\n      key: container_id\r\nexporters:\r\n  prometheusremotewrite/local:\r\n    endpoint: http://prometheus-server/api/v1/write\r\n    resource_to_telemetry_conversion:\r\n      enabled: true\r\nservice:\r\n  extensions:\r\n  - health_check\r\n  - memory_ballast\r\n  pipelines\r\n    metrics/hostmetrics:\r\n      exporters:\r\n      - prometheusremotewrite/local\r\n      processors:\r\n      - resourcedetection/env\r\n      - resource/remove_pod_name\r\n      receivers:\r\n      - hostmetrics\r\n    metrics/k8s_cluster:\r\n      exporters:\r\n      - prometheusremotewrite/local\r\n      processors:\r\n      - resource/remove_container_id\r\n      receivers:\r\n      - k8s_cluster\r\n\r\n```\r\n\r\nA few things from that config snippet should be explained further:\r\n\r\n* *container_id* label is removed from metrics (metrics/k8s_cluster pipeline). The biggest reason why this is done is because, when containers get restarted, they will create a new time series (because container_id labe is different). This demands more resources from prometheus and would break some panels (like rate(containers_restart))\r\n* *prometheusremotewrite* exporter enables *resource_to_telemetry_conversion* is required to export existing attributes as prometheus labels.\r\n* *k8s_pod_name label* is removed from the *metrics/hostmetrics* pipeline because, if the otel pod from a node (this was deployed using a daemonset) is recreated (for example, when updating otel's helm chart) a new time series would be created for the same node\r\n* [Resource Detection processor](https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/resourcedetectionprocessor) is used with env vars [sample setup can be found here](https://gitlab.com/sergiojvg/home-media/-/blob/main/terraform/monitoring/otel.tf#L206) to add required attributes to hostmetrics resources (that will later on be translated into prometheus labels).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-05-06T13:14:48.000Z","updatedAt":"2023-10-13T19:43:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18682"},{"rel":"revisions","href":"/dashboards/18682/revisions"},{"rel":"revision","href":"/dashboards/18682/revisions/4"},{"rel":"download","href":"/dashboards/18682/revisions/4/download"},{"rel":"org","href":"/orgs/sergiojvg92"},{"rel":"images","href":"/dashboards/18682/images"},{"rel":"thumbnails","href":"/dashboards/18682/thumbnails"}]},{"id":23319,"status":1,"statusCode":"active","orgId":511444,"orgSlug":"tscuite","orgName":"tscuite","slug":"otel-hostmetrics","downloads":687,"revisionId":36996,"revision":5,"name":"otel hostmetrics","description":"OpenTelemetry Collector otelcol-contrib hostmetrics","readme":"This project is a supplementary version of the following project, providing additional configurations and dashboards\r\n- https://grafana.com/grafana/dashboards/20376-opentelemetry-collector-hostmetrics-node-exporter/\r\n\r\n```\r\nexporters:\r\n  otlphttp/mimir:\r\n    endpoint: http://mimir:9009/otlp\r\n\r\nreceivers:\r\n  # otelcontribcol metrics + host metrics\r\n  prometheus/agent:\r\n    config:\r\n      scrape_configs:\r\n        - job_name: otel-collector\r\n          scrape_interval: 10s\r\n          static_configs:\r\n            - targets: [0.0.0.0:8888]\r\n  hostmetrics/agent:\r\n    collection_interval: 10s\r\n    scrapers:\r\n      cpu:\r\n        metrics:\r\n          system.cpu.logical.count:\r\n            enabled: true\r\n      memory:\r\n        metrics:\r\n          system.memory.utilization:\r\n            enabled: true\r\n          system.memory.limit:\r\n            enabled: true\r\n      load:\r\n      disk:\r\n      filesystem:\r\n        metrics:\r\n          system.filesystem.utilization:\r\n            enabled: true\r\n      network:\r\n      paging:\r\n      processes:\r\n      process:\r\n        mute_process_user_error: true\r\n        metrics:\r\n          process.cpu.utilization:\r\n            enabled: true\r\n          process.memory.utilization:\r\n            enabled: true\r\n          process.threads:\r\n            enabled: true\r\n          process.paging.faults:\r\n            enabled: true\r\n\r\nprocessors:\r\n  batch/agent:\r\n  resource/agent:\r\n    attributes:\r\n      - action: upsert\r\n        key: service.namespace\r\n        value: agent\r\n  attributes/agent:\r\n      actions:\r\n        - key: service.name\r\n          action: insert\r\n          value: otel-agent\r\n        - key: service.namespace\r\n          action: insert\r\n          value: otlp\r\n        - key: k8s.instance.id\r\n          action: upsert\r\n          value: ${env:K8S_NODE_IP}\r\n  resourcedetection/system:\r\n    detectors: [\"system\"]\r\n    system:\r\n      hostname_sources: [\"os\"]\r\n  transform:\r\n    metric_statements:\r\n      - context: datapoint\r\n        statements:\r\n            - set(attributes[\"process_command\"], resource.attributes[\"process.command\"])\r\n            - set(attributes[\"process_command_line\"], resource.attributes[\"process.command_line\"])\r\n            - set(attributes[\"process_executable_name\"], resource.attributes[\"process.executable.name\"])\r\n            - set(attributes[\"process_executable_path\"], resource.attributes[\"process.executable.path\"])\r\n            - set(attributes[\"process_owner\"], resource.attributes[\"process.owner\"])\r\n            - set(attributes[\"process_parent_pid\"], resource.attributes[\"process.parent_pid\"])\r\n            - set(attributes[\"process_pid\"], resource.attributes[\"process.pid\"])\r\n            - set(attributes[\"net_k8s_name\"], resource.attributes[\"net.k8s.name\"])\r\n            - set(attributes[\"k8s_namespace_name\"], resource.attributes[\"k8s.namespace.name\"])\r\n            - set(attributes[\"k8s_container_name\"], resource.attributes[\"k8s.container.name\"])\r\n            - set(attributes[\"k8s_pod_name\"], resource.attributes[\"k8s.pod.name\"])\r\n            - set(attributes[\"k8s_cluster_name\"], resource.attributes[\"k8s.cluster.name\"])\r\n            - set(attributes[\"k8s_node_name\"], resource.attributes[\"k8s.node.name\"])\r\n            - set(attributes[\"k8s_instance_id\"], resource.attributes[\"k8s.instance.id\"])\r\n            - set(attributes[\"k8s_job_name\"], resource.attributes[\"k8s.job.name\"])\r\n            - set(attributes[\"service.name\"], resource.attributes[\"k8s.container.name\"])\r\n            - set(attributes[\"service.namespace\"], resource.attributes[\"k8s.namespace.name\"])\r\n\r\nservice:\r\n  telemetry:\r\n    metrics:\r\n      level: detailed\r\n\r\n  pipelines:\r\n    metrics/agent:\r\n      receivers: [prometheus/agent, hostmetrics/agent]\r\n      processors: [attributes/agent, resourcedetection/system, transform, batch/agent]\r\n      exporters: [otlphttp/mimir]\r\n```","collectorType":"Select Collector","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2025-04-24T09:57:08.000Z","updatedAt":"2025-04-25T03:31:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23319"},{"rel":"revisions","href":"/dashboards/23319/revisions"},{"rel":"revision","href":"/dashboards/23319/revisions/5"},{"rel":"download","href":"/dashboards/23319/revisions/5/download"},{"rel":"org","href":"/orgs/tscuite"},{"rel":"images","href":"/dashboards/23319/images"},{"rel":"thumbnails","href":"/dashboards/23319/thumbnails"}]},{"id":23958,"status":1,"statusCode":"active","orgId":1377807,"orgSlug":"gabrieldecarvalho","orgName":"gabrieldecarvalho","slug":"otel-lgtm-observability","downloads":1129,"revisionId":38169,"revision":1,"name":"Otel LGTM Observability - 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This way, you don’t need to configure scraping for all your services—just set up the OTEL collector to remote write to Prometheus or expose the OpenTelemetry instance /metrics endpoint. See this [example](https://github.com/gabszs/fastapi-automatic-otel-lgtm-s3/blob/gitops/config/otel-collector-config.yaml)\r\n\r\nTelemetry FastAPI application Dashboard with three pillars of observability on Grafana:\r\n\r\n- Traces with Tempo and OpenTelemetry Python SDK\r\n- Metrics with Prometheus and opentelemetry-client\r\n- Logs with Loki\r\n\r\nThe project also includes instructions on:\r\n- How to configure Grafana LGTM to store data in S3, making it easy to persist and manage your observability data.\r\n- An optimized (190mb) Python FastAPI Dockerfile with automatic OpenTelemetry instrumentation. \r\n- [Decorator class](https://github.com/gabszs/fastapi-automatic-otel-lgtm-s3/blob/gitops/fastapi_automatic_instrumentalization/app/core/telemetry.py) to automatically open traces inside your code, so you don’t need to manually handle multiple with statements (works for both functions and classes).\r\n- A complete Docker Compose setup with Grafana LGTM and individual configuration files, making it easy to set up your monitoring stack.\r\n\r\nCheck more details on the GitHub repository: [fastapi-automatic-otel-lgtm-s3](https://github.com/gabszs/fastapi-automatic-otel-lgtm-s3","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus, 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Elastic","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2022-09-30T00:21:51.000Z","updatedAt":"2022-09-30T00:22:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17088"},{"rel":"revisions","href":"/dashboards/17088/revisions"},{"rel":"revision","href":"/dashboards/17088/revisions/1"},{"rel":"download","href":"/dashboards/17088/revisions/1/download"},{"rel":"org","href":"/orgs/youseflasi"},{"rel":"images","href":"/dashboards/17088/images"},{"rel":"thumbnails","href":"/dashboards/17088/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":11491,"status":1,"statusCode":"active","orgId":330343,"orgSlug":"error5","orgName":"error5","slug":"pfsense-node-exporter-v1-18","downloads":2793,"revisionId":16200,"revision":1,"name":"pfSense node_exporter (v1.18)","description":"Dashboard for Prometheus node_exporter on FreeBSD","readme":"This is an updated dashboard to work with node exporter 1.18 and prometheus 2.12. ","collectorType":"nodeExporter","collectorConfig":"SSH to each host and edit the files for packages, you need to set enabled from ‘no’ to ‘yes’\n\n/etc/pkg/FreeBSD.conf\n/usr/local/etc/pkg/repos/FreeBSD.conf\n/usr/local/etc/pkg/repos/pfSense.conf\n\nInstall node exporter with the following at the command line\n\npkg install node_exporter\n\nNext enable the service either one of the bellow will do\n\necho “node_exporter_enable=”YES”” » /etc/rc.conf\nsysrc node_exporter_enable=YES\n\nStart the service\n\nservice start node_exporter\n\nAdd firewall rule for 9100 on interface in pfsense for MASTER this should replicate to BACKUP confirm this.","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-02T15:24:12.000Z","updatedAt":"2020-01-02T15:32:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":2,"links":[{"rel":"self","href":"/dashboards/11491"},{"rel":"revisions","href":"/dashboards/11491/revisions"},{"rel":"revision","href":"/dashboards/11491/revisions/1"},{"rel":"download","href":"/dashboards/11491/revisions/1/download"},{"rel":"org","href":"/orgs/error5"},{"rel":"images","href":"/dashboards/11491/images"},{"rel":"thumbnails","href":"/dashboards/11491/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16915,"status":1,"statusCode":"active","orgId":499492,"orgSlug":"sachinsureshmore","orgName":"sachinsureshmore","slug":"pfsense-router","downloads":436,"revisionId":25947,"revision":1,"name":"pfSense Router","description":"Dashboard for a pfsense router","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-09-10T20:54:58.000Z","updatedAt":"2022-09-10T21:03:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16915"},{"rel":"revisions","href":"/dashboards/16915/revisions"},{"rel":"revision","href":"/dashboards/16915/revisions/1"},{"rel":"download","href":"/dashboards/16915/revisions/1/download"},{"rel":"org","href":"/orgs/sachinsureshmore"},{"rel":"images","href":"/dashboards/16915/images"},{"rel":"thumbnails","href":"/dashboards/16915/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12023,"status":1,"statusCode":"active","orgId":367713,"orgSlug":"victorrobellini","orgName":"victorrobellini","slug":"pfsense-system-dashboard","downloads":7901,"revisionId":20901,"revision":2,"name":"pfSense System Dashboard","description":"See the github link for the most up-to-date dashboard.\r\n\r\nA Grafana dashboard built to monitor pfSense that relies on influx and Telegraf.  All artifacts and instructions are maintained in github at https://github.com/VictorRobellini/pfSense-Dashboard","readme":"For the latest version, visit: https://github.com/VictorRobellini/pfSense-Dashboard\r\n\r\n## What's Monitored\r\n- Active Users\r\n- Uptime\r\n- CPU Load total\r\n- Disk Utilization\r\n- Memory Utilization\r\n- CPU Utilization per core (Single Graph)\r\n- Ram Utilization time graph\r\n- Load Average\r\n- Load Average Graph\r\n- CPU and ACPI Temperature Sensors\r\n- pfBlocker IP Stats\r\n- pfBlocker DNS Stats\r\n- Gateway Response time - dpinger\r\n- List of interfaces with IP, MAC, Status and pfSesnse labels thanks to [/u/trumee](https://www.reddit.com/r/PFSENSE/comments/fsss8r/additional_grafana_dashboard/fmal0t6/)\r\n- WAN Statistics - Traffic & Throughput (Identified by dashboard variable)\r\n- LAN Statistics - Traffic & Throughput (Identified by dashboard variable)\r\n- Unbound stats - Plugin and config included and working but not implemented\r\n\r\n## Configuration\r\n\r\n### Grafana\r\nThe Config for the dashboard relies on the variables defined within the dashboard in Grafana.  When importing the dashboard, make sure to select your datasource. \r\n\r\nDashboard Settings -> Variables\r\n\r\nWAN - $WAN is a static variable defined so that a separate dashboard panel can be created for WAN interfaces stats.  Use a comma-separated list for multiple WAN interfaces.\r\n\r\nLAN_Interfaces - $LAN_Interfaces uses a regex to remove any interfaces you don't want to be grouped as LAN. The filtering happens in the \"Regex\" field. I use a negative lookahead regex to match the interfaces I want excluded.  It should be pretty easy to understand what you need to do here. I have excluded igb0 (WAN) and igb2 (only used to host vlans).\r\n\r\nAfter writing this up, I realize I need to change this variable name, it's just not going to happen right now. \r\n\r\n### Telegraf\r\nTelegraf Config\r\n\r\nIn the [/config](config/additional_config.conf) directory you will find all of the additional telegraf config. In pfSense, under Services -> Teltegraf, at the bottom of the page with the teeny tiny text box is where you paste in the included config.\r\n\r\nI also included the config for Unbound DNS and it's commented out.  I'm not currently using it, but it's fully functional, just uncomment if you want to use it.\r\n\r\n### Plugins\r\nPlugins\r\n\r\nI put all my plugins in /usr/local/bin and set them to 555\r\n\r\nTo troubleshoot plugins, add the following lines to the agent block in /usr/local/etc/telegraf.conf and send a HUP to the telegraf pid.\r\n\r\n    debug = true\r\n    quiet = false\r\n    logfile = \"/var/log/telegraf/telegraf.log\"\r\n    \r\nI also included a wrapper script for Unbound DNS.  I'm not currently using it, but it's fully functional.\r\n\r\n### Running on\r\n\r\n    Grafana 6.7.1\r\n    Influxdb 1.7.10\r\n\r\n\r\n","collectorType":"Telegraf","collectorConfig":"FOR THE LATEST RELEASE, GO HERE: https://github.com/VictorRobellini/pfSense-Dashboard\r\n\r\nAll instructions and configurations are stored at https://github.com/VictorRobellini/pfSense-Dashboard.\r\n\r\nTo customize the dashboard for your system you will need to select the correct datasource when importing.  Additionaly you will need to set the WAN variable as well as what to exclude from the LAN variable.","collectorPluginList":"Other, dns query time, exec, influxdb, system","datasource":"InfluxDB","privacy":"public","createdAt":"2020-04-04T23:46:40.000Z","updatedAt":"2021-04-10T21:24:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":6,"reviewsAvgRating":4.67,"links":[{"rel":"self","href":"/dashboards/12023"},{"rel":"revisions","href":"/dashboards/12023/revisions"},{"rel":"revision","href":"/dashboards/12023/revisions/2"},{"rel":"download","href":"/dashboards/12023/revisions/2/download"},{"rel":"org","href":"/orgs/victorrobellini"},{"rel":"images","href":"/dashboards/12023/images"},{"rel":"thumbnails","href":"/dashboards/12023/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19648,"status":1,"statusCode":"active","orgId":951905,"orgSlug":"zwebsolutions","orgName":"zwebsolutions","slug":"pfsense-system-dashboard","downloads":288,"revisionId":30159,"revision":1,"name":"pfSense System Dashboard","description":"See the github link for the most up-to-date dashboard.\r\n\r\nA Grafana dashboard built to monitor pfSense that relies on influx and Telegraf.  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All artifacts and instructions are maintained in github at https://github.com/VictorRobellini/pfSense-Dashboard","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"pf plugin","datasource":"InfluxDB","privacy":"public","createdAt":"2023-04-15T18:12:40.000Z","updatedAt":"2023-04-15T18:33:23.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18532"},{"rel":"revisions","href":"/dashboards/18532/revisions"},{"rel":"revision","href":"/dashboards/18532/revisions/1"},{"rel":"download","href":"/dashboards/18532/revisions/1/download"},{"rel":"org","href":"/orgs/leecarbuyer"},{"rel":"images","href":"/dashboards/18532/images"},{"rel":"thumbnails","href":"/dashboards/18532/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24320,"status":1,"statusCode":"active","orgId":1576958,"orgSlug":"norhost","orgName":"norhost","slug":"pfsense-system-dashboard","downloads":66,"revisionId":38845,"revision":1,"name":"pfSense System Dashboard","description":"net stata","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-11-01T05:59:55.000Z","updatedAt":"2025-11-01T06:00:34.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24320"},{"rel":"revisions","href":"/dashboards/24320/revisions"},{"rel":"revision","href":"/dashboards/24320/revisions/1"},{"rel":"download","href":"/dashboards/24320/revisions/1/download"},{"rel":"org","href":"/orgs/norhost"},{"rel":"images","href":"/dashboards/24320/images"},{"rel":"thumbnails","href":"/dashboards/24320/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22241,"status":1,"statusCode":"active","orgId":242702,"orgSlug":"rubberducko","orgName":"rubberducko","slug":"pfsense-system-dashboard","downloads":259,"revisionId":34951,"revision":1,"name":"pfSense System Dashboard","description":"pfSense","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-11-08T06:40:52.000Z","updatedAt":"2024-11-08T06:41:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22241"},{"rel":"revisions","href":"/dashboards/22241/revisions"},{"rel":"revision","href":"/dashboards/22241/revisions/1"},{"rel":"download","href":"/dashboards/22241/revisions/1/download"},{"rel":"org","href":"/orgs/rubberducko"},{"rel":"images","href":"/dashboards/22241/images"},{"rel":"thumbnails","href":"/dashboards/22241/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21568,"status":1,"statusCode":"active","orgId":844036,"orgSlug":"ahmathmptc","orgName":"MPTC","slug":"pfsense-system-dashboard","downloads":265,"revisionId":33716,"revision":1,"name":"pfSense System Dashboard","description":"See the github link for the most up-to-date dashboard.\r\n\r\nA Grafana dashboard built to monitor pfSense that relies on influx and Telegraf.  All artifacts and instructions are maintained in github at https://github.com/VictorRobellini/pfSense-Dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-07-23T10:45:42.000Z","updatedAt":"2024-07-23T10:46:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21568"},{"rel":"revisions","href":"/dashboards/21568/revisions"},{"rel":"revision","href":"/dashboards/21568/revisions/1"},{"rel":"download","href":"/dashboards/21568/revisions/1/download"},{"rel":"org","href":"/orgs/ahmathmptc"},{"rel":"images","href":"/dashboards/21568/images"},{"rel":"thumbnails","href":"/dashboards/21568/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22387,"status":1,"statusCode":"active","orgId":1276467,"orgSlug":"nexiad","orgName":"nexiad","slug":"pfsense-system-dashboard","downloads":255,"revisionId":35153,"revision":1,"name":"pfSense System Dashboard","description":"See the github link for the most up-to-date dashboard.\r\n\r\nA Grafana dashboard built to monitor pfSense that relies on influx and Telegraf.  All artifacts and instructions are maintained in github at https://github.com/VictorRobellini/pfSense-Dashboard","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"influxdb","datasource":"InfluxDB","privacy":"public","createdAt":"2024-11-20T02:48:27.000Z","updatedAt":"2024-11-20T02:49:19.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22387"},{"rel":"revisions","href":"/dashboards/22387/revisions"},{"rel":"revision","href":"/dashboards/22387/revisions/1"},{"rel":"download","href":"/dashboards/22387/revisions/1/download"},{"rel":"org","href":"/orgs/nexiad"},{"rel":"images","href":"/dashboards/22387/images"},{"rel":"thumbnails","href":"/dashboards/22387/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22392,"status":1,"statusCode":"active","orgId":1272807,"orgSlug":"rhsc54kwq","orgName":"rhsc54kwq","slug":"pfsense-system-dashboard","downloads":252,"revisionId":35160,"revision":1,"name":"pfSense System Dashboard","description":"See the github link for the most up-to-date dashboard.\r\n\r\nA Grafana dashboard built to monitor pfSense that relies on influx and Telegraf.  All artifacts and instructions are maintained in github at https://github.com/VictorRobellini/pfSense-Dashboard","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-11-20T20:34:41.000Z","updatedAt":"2024-12-05T02:33:02.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22392"},{"rel":"revisions","href":"/dashboards/22392/revisions"},{"rel":"revision","href":"/dashboards/22392/revisions/1"},{"rel":"download","href":"/dashboards/22392/revisions/1/download"},{"rel":"org","href":"/orgs/rhsc54kwq"},{"rel":"images","href":"/dashboards/22392/images"},{"rel":"thumbnails","href":"/dashboards/22392/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22410,"status":1,"statusCode":"active","orgId":325679,"orgSlug":"randyleip","orgName":"randyleip","slug":"pfsense-system-dashboard","downloads":264,"revisionId":35189,"revision":1,"name":"pfSense System Dashboard","description":"net stata","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2024-11-25T01:30:21.000Z","updatedAt":"2024-11-25T01:32:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22410"},{"rel":"revisions","href":"/dashboards/22410/revisions"},{"rel":"revision","href":"/dashboards/22410/revisions/1"},{"rel":"download","href":"/dashboards/22410/revisions/1/download"},{"rel":"org","href":"/orgs/randyleip"},{"rel":"images","href":"/dashboards/22410/images"},{"rel":"thumbnails","href":"/dashboards/22410/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9937,"status":1,"statusCode":"active","orgId":195939,"orgSlug":"gniting","orgName":"gniting","slug":"router-stats","downloads":899,"revisionId":13864,"revision":1,"name":"pfSense System Stats","description":"Simple network and DNS stats of pfSense with dual-WAN setup.","readme":"For the DNS stats, I'm using the unbound plugin for telegraf.","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2019-03-17T18:26:14.000Z","updatedAt":"2019-03-17T18:28:01.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/9937"},{"rel":"revisions","href":"/dashboards/9937/revisions"},{"rel":"revision","href":"/dashboards/9937/revisions/1"},{"rel":"download","href":"/dashboards/9937/revisions/1/download"},{"rel":"org","href":"/orgs/gniting"},{"rel":"images","href":"/dashboards/9937/images"},{"rel":"thumbnails","href":"/dashboards/9937/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22722,"status":1,"statusCode":"active","orgId":760339,"orgSlug":"extremempd","orgName":"extremempd","slug":"pfsense-opnsense-filter","downloads":477,"revisionId":35838,"revision":1,"name":"pfSense/OPNsense Filter","description":"A dashboard that visualizes filter logs from pfSense and OPNsense using regex parsing.","readme":"A dashboard that visualizes filter logs from pfSense and OPNsense using regex parsing.\r\nData is queried from Loki and logs are delivered to Loki via RFC 5424 Syslog.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2025-01-19T17:02:02.000Z","updatedAt":"2025-01-19T17:12:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22722"},{"rel":"revisions","href":"/dashboards/22722/revisions"},{"rel":"revision","href":"/dashboards/22722/revisions/1"},{"rel":"download","href":"/dashboards/22722/revisions/1/download"},{"rel":"org","href":"/orgs/extremempd"},{"rel":"images","href":"/dashboards/22722/images"},{"rel":"thumbnails","href":"/dashboards/22722/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":18316,"status":1,"statusCode":"active","orgId":683756,"orgSlug":"bauk","orgName":"bauk","slug":"pg-overview","downloads":813,"revisionId":28127,"revision":1,"name":"PG Overview","description":"This dashboard works with postgres_exporter for prometheus","readme":"# PostgreSQL_exporter\n\n## 1.下载和配置\n\n​\t下载文件：postgres_exporter-0.10.0.linux-amd64.tar.gz\n​\t解压：\n\n```shell\ntar -C /opt -xvf postgres_exporter-0.10.0.linux-amd64.tar.gz\ncd /opt && mv postgres_exporter-0.10.0.linux-amd64 postgres_exporter\ncd postgres_exporter\n```\n添加脚本: start.sh\n\n```shell\nsudo -u postgres DATA_SOURCE_NAME=\"user=postgres host=/var/run/postgresql/ sslmode=disable\" postgres_exporter #需要通过用户postgres启动\n```\n\n添加至systemd：\n\n\n```shell\nvim /usr/lib/systemd/system/postgres_exporter.service\n[Unit]\nDescription=postgres_exporter\nAfter=network.target\n[Service]\nType=simple\nExecStart=/PATH/TO/start.sh \nRestart=on-failure\n[Install]\nWantedBy=multi-user.target\n```\n\n​\t启动：\n\n```shell\nsystemctl daemon-reload\nsystemctl start postgres_exporter\nsystemctl status postgres_exporter\nsystemctl enable postgres_exporte\n```\n## 2.接入prometheus\nedit `prometheus.yml`\n```yaml\n  - job_name: \"postgresql\"\n    file_sd_configs:\n      - files:\n          - targets/postgresql.yml\n        refresh_interval: 10m\n```\n`targets/postgresql.yml`\n```yaml\n      - targets: [\"10.1xx.1.1xx:9187\"]\n        labels:\n          instance: 10.1xx.1.1xx_postgresql\n          targets: \"10.1xx.1.1xx:9187\"\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-20T02:55:29.000Z","updatedAt":"2023-04-10T07:59:21.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18316"},{"rel":"revisions","href":"/dashboards/18316/revisions"},{"rel":"revision","href":"/dashboards/18316/revisions/1"},{"rel":"download","href":"/dashboards/18316/revisions/1/download"},{"rel":"org","href":"/orgs/bauk"},{"rel":"images","href":"/dashboards/18316/images"},{"rel":"thumbnails","href":"/dashboards/18316/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17709,"status":1,"statusCode":"active","orgId":766988,"orgSlug":"woblerr","orgName":"woblerr","slug":"pgbackrest-exporter-dashboard","downloads":1371,"revisionId":40127,"revision":8,"name":"pgBackRest Exporter Dashboard","description":"Dashboard works with pgbackrest_exporter","readme":"# Grafana dashboard for pgbackrest_exporter\n\nA dashboard of metrics produced by [pgbackrest_exporter](https://github.com/woblerr/pgbackrest_exporter).\n\nTo get this dashboard from **grafana.com**: [pgBackRest Exporter Dashboard](https://grafana.com/grafana/dashboards/17709-pgbackrest-exporter-dashboard/).\n\nTo get this dashboard from **github.com**: [pgBackRest Exporter Dashboard](https://github.com/woblerr/pgbackrest_exporter-dashboard).\n\n![image 1](https://grafana.com/api/dashboards/17709/images/15041/image)\n![image 2](https://grafana.com/api/dashboards/17709/images/15042/image)\n![image 3](https://grafana.com/api/dashboards/17709/images/15043/image)\n\n## Compatibility with pgBackRest exporter versions\n\nDepending on the version of the pgbackrest_exporter, it is recommended to use different versions of the dashboard.\n\n| Dashboard version | pgbackrest_exporter version |\n|---|---|\n| `rev8` | `&gt;= v0.23.0` |\n| `rev7` | `&gt;= v0.22.0` `&lt; v0.23.0` |\n| `rev6` | `&gt;= v0.20.0` `&lt; v0.22.0` |\n| `rev3` | `&gt;= v0.16.0` `&lt; v0.20.0` |\n| `rev2` | `&lt; v0.16.0` 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Compatible with https://github.com/vntrungld/prometheus-exporter-opcache-collector","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-10T03:25:23.000Z","updatedAt":"2026-04-10T03:38:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25148"},{"rel":"revisions","href":"/dashboards/25148/revisions"},{"rel":"revision","href":"/dashboards/25148/revisions/1"},{"rel":"download","href":"/dashboards/25148/revisions/1/download"},{"rel":"org","href":"/orgs/vntrungld"},{"rel":"images","href":"/dashboards/25148/images"},{"rel":"thumbnails","href":"/dashboards/25148/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3901,"status":1,"statusCode":"active","orgId":104023,"orgSlug":"robbiet480","orgName":"robbiet480","slug":"php-fpm","downloads":4253,"revisionId":5311,"revision":1,"name":"PHP-FPM","description":"PHP-FPM monitoring 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cluster.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-19T23:57:53.000Z","updatedAt":"2020-01-10T17:32:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11237"},{"rel":"revisions","href":"/dashboards/11237/revisions"},{"rel":"revision","href":"/dashboards/11237/revisions/2"},{"rel":"download","href":"/dashboards/11237/revisions/2/download"},{"rel":"org","href":"/orgs/equisoft"},{"rel":"images","href":"/dashboards/11237/images"},{"rel":"thumbnails","href":"/dashboards/11237/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11497,"status":1,"statusCode":"active","orgId":331660,"orgSlug":"mateussouzaweb","orgName":"mateussouzaweb","slug":"php-fpm","downloads":731,"revisionId":17104,"revision":2,"name":"PHP-FPM","description":"by MateusSouzaWeb","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-01-02T22:56:21.000Z","updatedAt":"2020-04-02T21:25:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11497"},{"rel":"revisions","href":"/dashboards/11497/revisions"},{"rel":"revision","href":"/dashboards/11497/revisions/2"},{"rel":"download","href":"/dashboards/11497/revisions/2/download"},{"rel":"org","href":"/orgs/mateussouzaweb"},{"rel":"images","href":"/dashboards/11497/images"},{"rel":"thumbnails","href":"/dashboards/11497/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12813,"status":1,"statusCode":"active","orgId":225578,"orgSlug":"sobaka","orgName":"sobaka","slug":"php-fpm","downloads":640,"revisionId":18483,"revision":2,"name":"PHP-FPM","description":"Dashboard of status, statistic and messages from fpm daemon","readme":"PHP-FPM Dashboard host or guest mashine.\r\n\r\n* Error log messages\r\n* Process\r\n* Worker states\r\n* Requests\r\n* Connections accepted\r\n\r\ngrafana->graphite->collectd","collectorType":"collectd","collectorConfig":"\r\n```\r\n<Plugin python>\r\n    ModulePath \"/opt/collectd/python\"\r\n    Import \"phpfpmstatus\"\r\n    <Module phpfpmstatus>\r\n#       Verbose True\r\n        Interval 60\r\n        <Node \"www-data\">\r\n            Proto http\r\n            Host \"127.0.0.1\"\r\n            Port 5708\r\n            Uri \"phpfpmstatus\"\r\n        </Node>\r\n    </Module>\r\n</Plugin>\r\n\r\n<Plugin \"Tail\">\r\n        <File \"/var/log/php/www.errors.log\">\r\n                Instance \"php_errors\"\r\n                # PHP Parse error\r\n                <Match>\r\n                        Regex \" PHP Parse error:\"\r\n                        DSType \"CounterInc\"\r\n                        Type \"counter\"\r\n                        Instance \"parse_error\"\r\n                </Match>\r\n                # PHP Fatal error\r\n                <Match>\r\n                        Regex \" PHP Fatal error:\"\r\n                        DSType \"CounterInc\"\r\n                        Type \"counter\"\r\n                        Instance \"fatal_error\"\r\n                </Match>\r\n                # PHP Warning\r\n                <Match>\r\n                        Regex \" PHP Warning:\"\r\n                        DSType \"CounterInc\"\r\n                        Type \"counter\"\r\n                        Instance \"warning\"\r\n                </Match>\r\n                # PHP Notice:\r\n                <Match>\r\n                        Regex \" PHP Notice:\"\r\n                        DSType \"CounterInc\"\r\n                        Type \"counter\"\r\n                        Instance \"notice\"\r\n                </Match>\r\n        </File>\r\n</Plugin>\r\n```\r\n\r\n### /opt/collectd/python/phpfpmstatus.py\r\n```\r\nimport collectd\r\n\r\nimport urllib2, re, json\r\n\r\nclass phpfpmstatus(object):\r\n\r\n    def __init__(self):\r\n        self.plugin_name = 'phpfpmstatus'\r\n        self.interval = 60\r\n        self.verbose_logging = False\r\n        self.nodes = {}\r\n        self.proto = 'http'\r\n        self.host = '127.0.0.1'\r\n        self.port = '5708'\r\n        self.uri = 'phpfpmstatus'\r\n\r\n    def log_verbose(self, msg):\r\n        if not self.verbose_logging:\r\n            return\r\n        collectd.info('%s plugin [verbose]: %s' % (self.plugin_name, msg))\r\n\r\n    def send(self, name, key, val):\r\n        val = collectd.Values(\r\n            plugin=self.plugin_name,\r\n            plugin_instance=name,\r\n            type='gauge',\r\n            type_instance=key,\r\n            values=[val])\r\n        val.dispatch()\r\n        self.log_verbose('Sending %s.%s: %s' % (name, key, val))\r\n\r\n    def init(self):\r\n\tfor key, val in self.nodes.items():\r\n            location = '%s://%s:%s/%s?full&json' % (val['proto'], val['host'], val['port'], val['uri'])\r\n            self.nodes[key]['request'] = urllib2.Request(location)\r\n            self.log_verbose('configured with location=%s' % location)\r\n\r\n    def read(self):\r\n\tfor node, val in self.nodes.items():\r\n            result = urllib2.urlopen(val['request'])\r\n            if ( result.getcode() == 200 ):\r\n                data = json.load( result )\r\n                self.send(node, 'accepted conn', data['accepted conn'])\r\n                self.send(node, 'active processes', data['active processes'])\r\n                self.send(node, 'idle processes', data['idle processes'])\r\n                self.send(node, 'listen queue', data['listen queue'])\r\n                self.send(node, 'max active processes', data['max active processes'])\r\n                self.send(node, 'max children reached', data['max children reached'])\r\n                self.send(node, 'max listen queue', data['max listen queue'])\r\n                self.send(node, 'slow requests', data['slow requests'])\r\n                self.send(node, 'total processes', data['total processes'])\r\n                statuses = {}\r\n                for n in data['processes']:\r\n                    if n['state'] not in statuses:\r\n                            statuses[n['state']]=1\r\n                    else:\r\n                            statuses[n['state']]+=1\r\n                for k,v in statuses.items():\r\n                    self.send(node, 'state_%s' % (k), v)\r\n\r\n    def configure_callback(self, conf):\r\n        for node in conf.children:\r\n            vals = [str(v) for v in node.values]\r\n            if node.key == 'Verbose':\r\n                self.verbose_logging = (vals[0].lower() == 'true')\r\n            elif node.key == 'Interval':\r\n                self.interval = float(vals[0])\r\n            elif node.key == 'Proto':\r\n                self.proto = str(vals[0])\r\n            elif node.key == 'Host':\r\n                self.host = str(vals[0])\r\n            elif node.key == 'Port':\r\n                self.port = int(float(vals[0]))\r\n            elif node.key == 'Uri':\r\n                self.uri = str(vals[0])\r\n            elif node.key == 'Node':\r\n                nodename = str(vals[0])\r\n                self.nodes[nodename] = {}\r\n                self.nodes[nodename]['proto'] = self.proto\r\n                self.nodes[nodename]['host'] = self.host\r\n                self.nodes[nodename]['port'] = self.port\r\n                self.nodes[nodename]['uri'] = self.uri\r\n                for data in node.children:\r\n                    vals = [str(v) for v in data.values]\r\n                    if data.key == 'Proto':\r\n                        self.nodes[nodename]['proto'] = str(vals[0])\r\n                    elif data.key == 'Host':\r\n                        self.nodes[nodename]['host'] = str(vals[0])\r\n                    elif data.key == 'Port':\r\n                        self.nodes[nodename]['port'] = int(float(vals[0]))\r\n                    elif data.key == 'Uri':\r\n                        self.nodes[nodename]['uri'] = str(vals[0])\r\n                    else:\r\n                        raise ValueError('%s plugin: Unknown node %s sub-key: %s' % (self.plugin_name, nodename, data.key))\r\n            else:\r\n                raise ValueError('%s plugin: Unknown config key: %s' % (self.plugin_name, node.key))\r\n        self.init()\r\n        collectd.register_read(self.read, self.interval)\r\n\r\napp_phpfpmstatus = phpfpmstatus()\r\ncollectd.register_config(app_phpfpmstatus.configure_callback)\r\n```\r\n\r\n###/etc/php/7.0/fpm/pool.d/www.conf\r\n```\r\npm.status_path = /phpfpmstatus\r\nphp_flag[display_errors] = off\r\nphp_admin_value[error_log] = /var/log/php/$pool.errors.log\r\n```\r\n\r\n###/etc/nginx/conf.d/collectd.conf\r\n```\r\nserver {\r\n\tlisten 127.0.0.1:5708 ;\r\n\taccess_log off;\r\n\terror_log /dev/null crit;\r\n\tallow 127.0.0.1;\r\n\tdeny all;\r\n\tlocation ~ ^/phpfpmstatus {\r\n\t\tfastcgi_index index.php;\r\n\t\tfastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name;\r\n\t\tinclude fastcgi_params;\r\n\t\tfastcgi_pass unix:/run/php/php7.0-fpm.sock;\r\n\t}\r\n}\r\n```","collectorPluginList":"Python plugin, Tail plugin, Write Graphite 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","collectorType":"Telegraf","collectorConfig":"# #PiHole monitoring# #\n [[inputs.http]]\n\n    urls = [\"http://192.168.0.XXX/admin/api.php\"]\n    method = \"GET\"\n    data_format = \"json\"\n    json_string_fields = [\"status\"]\n    name_suffix = \"_pihole\"\n\n\n\n# # PiHole GPU Temp # #\n[[inputs.exec]]\n\n  commands = [ \"/opt/vc/bin/vcgencmd measure_temp\" ]\n\n  name_override = \"temp_gpu\"\n\n  data_format = \"grok\"\n\n  grok_patterns = [\"%{NUMBER:value:float}\"]\n\n# # PiHole CPU Temp # #\n[[inputs.file]]\n\n  files = [\"/sys/class/thermal/thermal_zone0/temp\"]\n\n  data_format = \"value\"\n\n  data_type = \"integer\"\n\n  name_override = \"temp_cpu\"\n\n\n\n\n","collectorPluginList":"influxdb","datasource":"InfluxDB","privacy":"public","createdAt":"2020-11-22T22:42:11.000Z","updatedAt":"2020-11-22T23:37:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/13452"},{"rel":"revisions","href":"/dashboards/13452/revisions"},{"rel":"revision","href":"/dashboards/13452/revisions/1"},{"rel":"download","href":"/dashboards/13452/revisions/1/download"},{"rel":"org","href":"/orgs/kinderoth"},{"rel":"images","href":"/dashboards/13452/images"},{"rel":"thumbnails","href":"/dashboards/13452/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12869,"status":1,"statusCode":"active","orgId":382769,"orgSlug":"matt7b7b","orgName":"matt7b7b","slug":"pi-k3s-simple-dashboard","downloads":2759,"revisionId":18647,"revision":3,"name":"Pi k3s Simple Dashboard","description":"","readme":"Generated with prometheus helm charts on a standard k3s ansible install.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-08-21T03:07:39.000Z","updatedAt":"2020-08-26T21:18:16.000Z","isEditor":false,"hasLogo":false,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12869"},{"rel":"revisions","href":"/dashboards/12869/revisions"},{"rel":"revision","href":"/dashboards/12869/revisions/3"},{"rel":"download","href":"/dashboards/12869/revisions/3/download"},{"rel":"org","href":"/orgs/matt7b7b"},{"rel":"images","href":"/dashboards/12869/images"},{"rel":"thumbnails","href":"/dashboards/12869/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13043,"status":1,"statusCode":"active","orgId":33973,"orgSlug":"elmariofredo","orgName":"elmariofredo","slug":"pi-k3s-simple-dashboard","downloads":371,"revisionId":18888,"revision":1,"name":"Pi k3s Simple Dashboard","description":"Pi k3s Simple Dashboard","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-09-20T15:56:58.000Z","updatedAt":"2020-09-20T16:01:01.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13043"},{"rel":"revisions","href":"/dashboards/13043/revisions"},{"rel":"revision","href":"/dashboards/13043/revisions/1"},{"rel":"download","href":"/dashboards/13043/revisions/1/download"},{"rel":"org","href":"/orgs/elmariofredo"},{"rel":"images","href":"/dashboards/13043/images"},{"rel":"thumbnails","href":"/dashboards/13043/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18472,"status":1,"statusCode":"active","orgId":592141,"orgSlug":"cloudhome","orgName":"cloudhome","slug":"pi-hole","downloads":271,"revisionId":28343,"revision":1,"name":"Pi-hole","description":"Example Dashboard for statistics gathered from Pi-hole","readme":"This is an interesting Dashboard","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-04-09T16:11:08.000Z","updatedAt":"2023-04-09T16:12:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18472"},{"rel":"revisions","href":"/dashboards/18472/revisions"},{"rel":"revision","href":"/dashboards/18472/revisions/1"},{"rel":"download","href":"/dashboards/18472/revisions/1/download"},{"rel":"org","href":"/orgs/cloudhome"},{"rel":"images","href":"/dashboards/18472/images"},{"rel":"thumbnails","href":"/dashboards/18472/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13565,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"pi-hole-restful-api","downloads":727,"revisionId":19825,"revision":1,"name":"Pi-hole - RESTful API","description":"Grafana Dashboard that consumes Pi-hole API without auth. All simple, leveraging the input.http from telegraf.","readme":"Just use telegraf and the input.http with the next details, of course point to your pi-hole:\r\n\r\n```\r\n[[inputs.http]] \r\n#PiHole URL for data in JSON format \r\nurls = [\"http://192.168.1.3/admin/api.php\"] \r\n\r\nmethod = \"GET\"\r\n\r\n #Overwrite measurement name from default `http` to `pihole_stats`\r\n name_override = \"pihole_stats\" \r\n\r\n#Exclude host items from tags \r\ntagexclude = [\"host\"] \r\n\r\n#Data from HTTP in JSON format \r\ndata_format = \"json\" \r\n\r\n#JSON values to set as string fields\r\njson_string_fields = [\"url\", \"status\"] \r\n\r\ninsecure_skip_verify = true\r\n``` \r\nRestar telegraf, and that's it.\r\n\r\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\r\n![alt tag](https://www.jorgedelacruz.es/wp-content/uploads/2021/12/pihole-grafana-001.png)\r\n\r\nHope you like it!","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"httpjson","datasource":"InfluxDB","privacy":"public","createdAt":"2020-12-14T21:15:53.000Z","updatedAt":"2020-12-14T21:21:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13565"},{"rel":"revisions","href":"/dashboards/13565/revisions"},{"rel":"revision","href":"/dashboards/13565/revisions/1"},{"rel":"download","href":"/dashboards/13565/revisions/1/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/13565/images"},{"rel":"thumbnails","href":"/dashboards/13565/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10176,"status":1,"statusCode":"active","orgId":250781,"orgSlug":"vcomposieux","orgName":"Vincent Composieux","slug":"pi-hole-exporter","downloads":27665,"revisionId":31370,"revision":3,"name":"Pi-hole Exporter","description":"This is a Pi-hole dashboard when using the https://github.com/eko/pihole-exporter Prometheus exporter","readme":"## Information\n\nPI-Hole exporter sources and binaries are available here: [https://github.com/eko/pihole-exporter](https://github.com/eko/pihole-exporter)\n\nPlease feel free to contribute if you want to update this project.\n\n## Available Prometheus metrics\n\n| Metric name                  | Description                                                                               |\n|:----------------------------:|-------------------------------------------------------------------------------------------|\n| pihole_domains_being_blocked | This represent the number of domains being blocked                                        |\n| pihole_dns_queries_today     | This represent the number of DNS queries made over the current day                        |\n| pihole_ads_blocked_today     | This represent the number of ads blocked over the current day                             |\n| pihole_ads_percentage_today  | This represent the percentage of ads blocked over the current day                         |\n| pihole_unique_domains        | This represent the number of unique domains seen                                          |\n| pihole_queries_forwarded     | This represent the number of queries forwarded                                            |\n| pihole_queries_cached        | This represent the number of queries cached                                               |\n| pihole_clients_ever_seen     | This represent the number of clients ever seen                                            |\n| pihole_unique_clients        | This represent the number of unique clients seen                                          |\n| pihole_dns_queries_all_types | This represent the number of DNS queries made for all types                               |\n| pihole_reply                 | This represent the number of replies made for all types                                   |\n| pihole_top_queries           | This represent the number of top queries made by PI-Hole by domain                        |\n| pihole_top_ads               | This represent the number of top ads made by PI-Hole by domain                            |\n| pihole_top_sources           | This represent the number of top sources requests made by PI-Hole by source host          |\n| pihole_forward_destinations  | This represent the number of forward destinations requests made by PI-Hole by destination |\n| pihole_querytypes            | This represent the number of queries made by PI-Hole by type                              |\n| pihole_status                | This represent if PI-Hole is enabled                                                      |\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-05-09T19:39:16.000Z","updatedAt":"2024-01-21T09:10:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/10176"},{"rel":"revisions","href":"/dashboards/10176/revisions"},{"rel":"revision","href":"/dashboards/10176/revisions/3"},{"rel":"download","href":"/dashboards/10176/revisions/3/download"},{"rel":"org","href":"/orgs/vcomposieux"},{"rel":"images","href":"/dashboards/10176/images"},{"rel":"thumbnails","href":"/dashboards/10176/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14283,"status":1,"statusCode":"active","orgId":282988,"orgSlug":"c0psrul3","orgName":"c0psrul3","slug":"pi-hole-exporter","downloads":1040,"revisionId":21026,"revision":3,"name":"PI-Hole Exporter","description":"This is a PI-Hole dashboard when using the https://github.com/eko/pihole-exporter Prometheus exporter","readme":"This is a PI-Hole dashboard when using the https://github.com/eko/pihole-exporter Prometheus exporter\r\n\r\nUpdated and re-organized!  Original Dashboard:  https://grafana.com/grafana/dashboards/10176\r\n\r\nScrape config is not special.  To avoid \"127.0.0.1\" for pihole hostname, remember to set PIHOLE_HOSTNAME in pihole-exporter settings","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-04-21T14:59:08.000Z","updatedAt":"2021-04-21T15:22:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/14283"},{"rel":"revisions","href":"/dashboards/14283/revisions"},{"rel":"revision","href":"/dashboards/14283/revisions/3"},{"rel":"download","href":"/dashboards/14283/revisions/3/download"},{"rel":"org","href":"/orgs/c0psrul3"},{"rel":"images","href":"/dashboards/14283/images"},{"rel":"thumbnails","href":"/dashboards/14283/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16332,"status":1,"statusCode":"active","orgId":653862,"orgSlug":"schregardus","orgName":"schregardus","slug":"pi-hole-exporter","downloads":298,"revisionId":24888,"revision":1,"name":"PI-Hole Exporter","description":"This is a PI-Hole dashboard when using the https://github.com/eko/pihole-exporter Prometheus exporter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2022-05-27T00:07:21.000Z","updatedAt":"2022-05-27T00:10:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16332"},{"rel":"revisions","href":"/dashboards/16332/revisions"},{"rel":"revision","href":"/dashboards/16332/revisions/1"},{"rel":"download","href":"/dashboards/16332/revisions/1/download"},{"rel":"org","href":"/orgs/schregardus"},{"rel":"images","href":"/dashboards/16332/images"},{"rel":"thumbnails","href":"/dashboards/16332/thumbnails"}]},{"id":17084,"status":1,"statusCode":"active","orgId":546928,"orgSlug":"robjae","orgName":"robjae","slug":"pi-hole-exporter","downloads":266,"revisionId":26215,"revision":1,"name":"PI-Hole Exporter","description":"A dashboard for PI-Hole Exporter from https://github.com/eko/pihole-exporter","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"cpu, diskstats, loadavg, netstat, tcpstat","datasource":null,"privacy":"public","createdAt":"2022-09-29T15:28:14.000Z","updatedAt":"2022-09-29T15:29:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17084"},{"rel":"revisions","href":"/dashboards/17084/revisions"},{"rel":"revision","href":"/dashboards/17084/revisions/1"},{"rel":"download","href":"/dashboards/17084/revisions/1/download"},{"rel":"org","href":"/orgs/robjae"},{"rel":"images","href":"/dashboards/17084/images"},{"rel":"thumbnails","href":"/dashboards/17084/thumbnails"}]},{"id":17094,"status":1,"statusCode":"active","orgId":241938,"orgSlug":"rafi0101","orgName":"Raphael Ebner","slug":"pi-hole-exporter-influxdb-2","downloads":501,"revisionId":26230,"revision":1,"name":"PI-Hole Exporter Influxdb 2 (Flux)","description":"This is a PI-Hole dashboard when using the https://github.com/eko/pihole-exporter Prometheus exporter with an Influxdb2 Datasource","readme":"# Information\r\nPI-Hole exporter sources and binaries are available here: <https://github.com/eko/pihole-exporter>\r\n\r\nPlease feel free to contribute if you want to update this project.","collectorType":"Telegraf","collectorConfig":"[[inputs.prometheus]]\r\n\r\n  urls = [ \"http://localhost:9617/metrics\" ]\r\n\r\n  metric_version = 2\r\n\r\n  name_override = \"pihole\"\r\n","collectorPluginList":"prometheus","datasource":"InfluxDB","privacy":"public","createdAt":"2022-09-30T11:58:20.000Z","updatedAt":"2022-10-01T08:39:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17094"},{"rel":"revisions","href":"/dashboards/17094/revisions"},{"rel":"revision","href":"/dashboards/17094/revisions/1"},{"rel":"download","href":"/dashboards/17094/revisions/1/download"},{"rel":"org","href":"/orgs/rafi0101"},{"rel":"images","href":"/dashboards/17094/images"},{"rel":"thumbnails","href":"/dashboards/17094/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14475,"status":1,"statusCode":"active","orgId":485583,"orgSlug":"tumak","orgName":"tumak","slug":"pi-hole-ui","downloads":3760,"revisionId":21425,"revision":4,"name":"Pi-hole UI","description":"Watch either a single Pi-hole system or combine the statics of several in a single pane.","readme":"This dashboard was built around the pihole-exporter https://github.com/eko/pihole-exporter.\n\nWith this dashboard you can see the statics and status of either a single Pi-hole instance or combine statistics across multiple Pi-hole servers.\n\nPiholeDevices is a variable you will need to update with the total number of Pi-hole systems you have in Prometheus.  Setting this number helps to identify when a Pi-hole server in your environment is either down or not being scrapped.  You should be prompted to enter the number of Pi-hole devices when you import the dashboard.\n\nQueryTypes allows you to tune the Query Types panel to only show you the types you are interested in.  It’s a simple exclude so if you don’t care about things like MX records you can simply put that in the Regex and it won’t show up on the dashboard.\n\nIf you currently don’t have any data in Prometheus please note that it may take 20 minutes before you see anything in some of the graphs once the data starts coming in.  This is because it uses a delta between the previous 10 minute poll and the most recent poll to calculate the data.\n\nPi-hole Status pain will provide additional information if there is an issue with one of your Pi-hole servers.  If you put a device into maintenance or a server becomes unreachable an additional box will show up indicating the number of issues.  If a new device is added but you don’t update the PiholeDevices variable you will also get a box indicating you have more Pi-hole devices than the variable is set to.  (see the image for reference)\n\nAverage of Domains in Blocklists adds the value of all servers in the environment and then divides that sum by the number of Pi-hole devices selected to get an average.  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Analytics](https://www.plausible.io) with multiple sites\r\nsupport.\r\nIt uses data provided by [Plausible exporter](https://github.com/riesinger/plausible-exporter).\r\n\r\n## Credits\r\n\r\n- Created by [Marks Bogdanovs](https://www.ezitisitis.com)\r\n- Maintained by [Net service](https://www.netservice.lv)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-10-31T21:15:46.000Z","updatedAt":"2024-10-31T21:33:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22200"},{"rel":"revisions","href":"/dashboards/22200/revisions"},{"rel":"revision","href":"/dashboards/22200/revisions/1"},{"rel":"download","href":"/dashboards/22200/revisions/1/download"},{"rel":"org","href":"/orgs/ezitis"},{"rel":"images","href":"/dashboards/22200/images"},{"rel":"thumbnails","href":"/dashboards/22200/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19689,"status":1,"statusCode":"active","orgId":957349,"orgSlug":"unchama","orgName":"unchama","slug":"player-disconnected-log-metrics-on-bungeecord","downloads":269,"revisionId":30231,"revision":2,"name":"Player disconnected log metrics on 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MONITORING","description":"PLC","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-09-10T05:52:34.000Z","updatedAt":"2024-09-10T05:53:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21862"},{"rel":"revisions","href":"/dashboards/21862/revisions"},{"rel":"revision","href":"/dashboards/21862/revisions/1"},{"rel":"download","href":"/dashboards/21862/revisions/1/download"},{"rel":"org","href":"/orgs/hr1993hikmahramadhan"},{"rel":"images","href":"/dashboards/21862/images"},{"rel":"thumbnails","href":"/dashboards/21862/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16721,"status":1,"statusCode":"active","orgId":680253,"orgSlug":"benjaminsanvoisin","orgName":"benjaminsanvoisin","slug":"plex-thalie-dashboard","downloads":271,"revisionId":25628,"revision":1,"name":"Plex - Thalie Dashboard","description":"A Grafana dashboard for Varken","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-08-15T19:39:51.000Z","updatedAt":"2022-08-15T19:40:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16721"},{"rel":"revisions","href":"/dashboards/16721/revisions"},{"rel":"revision","href":"/dashboards/16721/revisions/1"},{"rel":"download","href":"/dashboards/16721/revisions/1/download"},{"rel":"org","href":"/orgs/benjaminsanvoisin"},{"rel":"images","href":"/dashboards/16721/images"},{"rel":"thumbnails","href":"/dashboards/16721/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9558,"status":1,"statusCode":"active","orgId":173136,"orgSlug":"gilbn","orgName":"gilbn","slug":"plex-varken-dashboard","downloads":6259,"revisionId":14376,"revision":15,"name":"Plex - Varken Dashboard [Unofficial]","description":"A Grafana dashboard for Varken","readme":"## [Unofficial]\r\n# A Grafana dashboard for displaying Plex stats using the [Varken](https://github.com/Boerderij/Varken) and [Telegraf](https://www.influxdata.com/time-series-platform/telegraf/) docker containers.\r\n\r\n## Join the unraid discord! \r\n\r\n[![Unraid](https://raw.githubusercontent.com/selfhosters/unRAID-CA-templates/master/.github/ISSUE_TEMPLATE/discord_unraid_unraid.png )](https://discord.gg/qWPbc8R)\r\n\r\n[![Discord](https://img.shields.io/discord/641230698166091777?color=%23ff8c2f&label=Discord&logo=discord&logoColor=%23ff8c2f&style=for-the-badge)](https://discord.gg/qWPbc8R)\r\n\r\n## For support on the dashboard click: [![Discord](https://img.shields.io/discord/591352397830553601.svg?style=for-the-badge&logo=discord)](https://discord.gg/HM5uUKU)\r\n\r\n### For the custom theme/skin check out: [theme.park](https://github.com/gilbN/theme.park)\r\n## Use the variables to set the different data sources.\r\n![](https://i.imgur.com/AkBoiAy.png)\r\n### You HAVE to add the [Pie Chart](https://grafana.com/plugins/grafana-piechart-panel) and [Worldmap](https://grafana.com/plugins/grafana-worldmap-panel/installation) plugins for the dashboard to work. \r\n\r\nRun: \r\n\r\n```docker exec -i -t grafana grafana-cli plugins install grafana-piechart-panel```\r\n\r\n```docker exec -i -t grafana grafana-cli plugins install grafana-worldmap-panel```\r\n\r\n### You also need to setup [Telegraf](https://www.influxdata.com/time-series-platform/telegraf/) for the RAM,CPU and NET stats\r\n#### Screenshot\r\n![](https://grafana.com/api/dashboards/9558/images/5968/image)\r\n\r\n# telegraf.conf\r\n```\r\n# Telegraf Configuration\r\n#\r\n# Telegraf is entirely plugin driven. All metrics are gathered from the\r\n# declared inputs, and sent to the declared outputs.\r\n#\r\n# Plugins must be declared in here to be active.\r\n# To deactivate a plugin, comment out the name and any variables.\r\n#\r\n# Use 'telegraf -config telegraf.conf -test' to see what metrics a config\r\n# file would generate.\r\n#\r\n# Environment variables can be used anywhere in this config file, simply prepend\r\n# them with $. For strings the variable must be within quotes (ie, \"$STR_VAR\"),\r\n# for numbers and booleans they should be plain (ie, $INT_VAR, $BOOL_VAR)\r\n\r\n\r\n# Global tags can be specified here in key=\"value\" format.\r\n[global_tags]\r\n  # dc = \"us-east-1\" # will tag all metrics with dc=us-east-1\r\n  # rack = \"1a\"\r\n  ## Environment variables can be used as tags, and throughout the config file\r\n  # user = \"$USER\"\r\n  \r\n# Configuration for telegraf agent\r\n[agent]\r\n  ## Default data collection interval for all inputs\r\n  interval = \"10s\"\r\n  ## Rounds collection interval to 'interval'\r\n  ## ie, if interval=\"10s\" then always collect on :00, :10, :20, etc.\r\n  round_interval = true\r\n\r\n  ## Telegraf will send metrics to outputs in batches of at most\r\n  ## metric_batch_size metrics.\r\n  ## This controls the size of writes that Telegraf sends to output plugins.\r\n  metric_batch_size = 1000\r\n\r\n  ## For failed writes, telegraf will cache metric_buffer_limit metrics for each\r\n  ## output, and will flush this buffer on a successful write. Oldest metrics\r\n  ## are dropped first when this buffer fills.\r\n  ## This buffer only fills when writes fail to output plugin(s).\r\n  metric_buffer_limit = 10000\r\n\r\n  ## Collection jitter is used to jitter the collection by a random amount.\r\n  ## Each plugin will sleep for a random time within jitter before collecting.\r\n  ## This can be used to avoid many plugins querying things like sysfs at the\r\n  ## same time, which can have a measurable effect on the system.\r\n  collection_jitter = \"0s\"\r\n\r\n  ## Default flushing interval for all outputs. You shouldn't set this below\r\n  ## interval. Maximum flush_interval will be flush_interval + flush_jitter\r\n  flush_interval = \"10s\"\r\n  ## Jitter the flush interval by a random amount. This is primarily to avoid\r\n  ## large write spikes for users running a large number of telegraf instances.\r\n  ## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s\r\n  flush_jitter = \"0s\"\r\n\r\n  ## By default or when set to \"0s\", precision will be set to the same\r\n  ## timestamp order as the collection interval, with the maximum being 1s.\r\n  ##   ie, when interval = \"10s\", precision will be \"1s\"\r\n  ##       when interval = \"250ms\", precision will be \"1ms\"\r\n  ## Precision will NOT be used for service inputs. It is up to each individual\r\n  ## service input to set the timestamp at the appropriate precision.\r\n  ## Valid time units are \"ns\", \"us\" (or \"µs\"), \"ms\", \"s\".\r\n  precision = \"\"\r\n\r\n  ## Logging configuration:\r\n  ## Run telegraf with debug log messages.\r\n  debug = false\r\n  ## Run telegraf in quiet mode (error log messages only).\r\n  quiet = false\r\n  ## Specify the log file name. The empty string means to log to stderr.\r\n  logfile = \"\"\r\n\r\n  ## Override default hostname, if empty use os.Hostname()\r\n  hostname = \"\"\r\n  ## If set to true, do no set the \"host\" tag in the telegraf agent.\r\n  omit_hostname = false\r\n  \r\n  \r\n###############################################################################\r\n#                            OUTPUT PLUGINS                                   #\r\n###############################################################################\r\n\r\n# Configuration for influxdb server to send metrics to\r\n[[outputs.influxdb]]\r\n  ## The full HTTP or UDP URL for your InfluxDB instance.\r\n  ##\r\n  ## Multiple urls can be specified as part of the same cluster,\r\n  ## this means that only ONE of the urls will be written to each interval.\r\n  # urls = [\"udp://127.0.0.1:8089\"] # UDP endpoint example\r\n  urls = [\"http://192.168.1.34:8086\"] # required\r\n  ## The target database for metrics (telegraf will create it if not exists).\r\n  database = \"telegraf\" # required\r\n\r\n  ## Name of existing retention policy to write to.  Empty string writes to\r\n  ## the default retention policy.\r\n  retention_policy = \"\"\r\n  ## Write consistency (clusters only), can be: \"any\", \"one\", \"quorum\", \"all\"\r\n  write_consistency = \"any\"\r\n\r\n  ## Write timeout (for the InfluxDB client), formatted as a string.\r\n  ## If not provided, will default to 5s. 0s means no timeout (not recommended).\r\n  timeout = \"5s\"\r\n  # username = \"telegraf\"\r\n  # password = \"metricsmetricsmetricsmetrics\"\r\n  ## Set the user agent for HTTP POSTs (can be useful for log differentiation)\r\n  # user_agent = \"telegraf\"\r\n  ## Set UDP payload size, defaults to InfluxDB UDP Client default (512 bytes)\r\n  # udp_payload = 512\r\n\r\n  ## Optional SSL Config\r\n  # ssl_ca = \"/etc/telegraf/ca.pem\"\r\n  # ssl_cert = \"/etc/telegraf/cert.pem\"\r\n  # ssl_key = \"/etc/telegraf/key.pem\"\r\n  ## Use SSL but skip chain & host verification\r\n  # insecure_skip_verify = false\r\n\r\n  ## HTTP Proxy Config\r\n  # http_proxy = \"http://corporate.proxy:3128\"\r\n\r\n  ## Optional HTTP headers\r\n  # http_headers = {\"X-Special-Header\" = \"Special-Value\"}\r\n\r\n  ## Compress each HTTP request payload using GZIP.\r\n  # content_encoding = \"gzip\"\r\n  \r\n###############################################################################\r\n#                            INPUT PLUGINS                                    #\r\n###############################################################################\r\n\r\n\r\n# # Monitor disks' temperatures using hddtemp\r\n [[inputs.hddtemp]]\r\n#   ## By default, telegraf gathers temps data from all disks detected by the\r\n#   ## hddtemp.\r\n#   ##\r\n#   ## Only collect temps from the selected disks.\r\n#   ##\r\n#   ## A * as the device name will return the temperature values of all disks.\r\n#   ##\r\n#   # address = \"127.0.0.1:7634\"\r\n#   # devices = [\"sda\", \"*\"]\r\n\r\n# Read metrics about cpu usage\r\n[[inputs.cpu]]\r\n  ## Whether to report per-cpu stats or not\r\n  percpu = true\r\n  ## Whether to report total system cpu stats or not\r\n  totalcpu = true\r\n  ## If true, collect raw CPU time metrics.\r\n  collect_cpu_time = false\r\n  ## If true, compute and report the sum of all non-idle CPU states.\r\n  report_active = false\r\n \r\n# # Monitor sensors, requires lm-sensors package\r\n [[inputs.sensors]]\r\n#   ## Remove numbers from field names.\r\n#   ## If true, a field name like 'temp1_input' will be changed to 'temp_input'.\r\n#   # remove_numbers = true \r\n  \r\n  # Read metrics about disk usage by mount point\r\n[[inputs.disk]]\r\n  ## By default, telegraf gather stats for all mountpoints.\r\n  ## Setting mountpoints will restrict the stats to the specified mountpoints.\r\n  # mount_points = [\"/\"]\r\n\r\n  ## Ignore some mountpoints by filesystem type. For example (dev)tmpfs (usually\r\n  ## present on /run, /var/run, /dev/shm or /dev).\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\"]\r\n  \r\n # Read metrics about disk IO by device\r\n[[inputs.diskio]]\r\n  ## By default, telegraf will gather stats for all devices including\r\n  ## disk partitions.\r\n  ## Setting devices will restrict the stats to the specified devices.\r\n  # devices = [\"sda\", \"sdb\"]\r\n  ## Uncomment the following line if you need disk serial numbers.\r\n  # skip_serial_number = false\r\n  #\r\n  ## On systems which support it, device metadata can be added in the form of\r\n  ## tags.\r\n  ## Currently only Linux is supported via udev properties. You can view\r\n  ## available properties for a device by running:\r\n  ## 'udevadm info -q property -n /dev/sda'\r\n  # device_tags = [\"ID_FS_TYPE\", \"ID_FS_USAGE\"]\r\n  #\r\n  ## Using the same metadata source as device_tags, you can also customize the\r\n  ## name of the device via templates.\r\n  ## The 'name_templates' parameter is a list of templates to try and apply to\r\n  ## the device. The template may contain variables in the form of '$PROPERTY' or\r\n  ## '${PROPERTY}'. The first template which does not contain any variables not\r\n  ## present for the device is used as the device name tag.\r\n  ## The typical use case is for LVM volumes, to get the VG/LV name instead of\r\n  ## the near-meaningless DM-0 name.\r\n  # name_templates = [\"$ID_FS_LABEL\",\"$DM_VG_NAME/$DM_LV_NAME\"]\r\n\r\n\r\n\r\n# Get kernel statistics from /proc/stat\r\n[[inputs.kernel]]\r\n  # no configuration\r\n\r\n\r\n# Read metrics about memory usage\r\n[[inputs.mem]]\r\n  # no configuration\r\n\r\n\r\n# Get the number of processes and group them by status\r\n[[inputs.processes]]\r\n  # no configuration\r\n\r\n\r\n# Read metrics about swap memory usage\r\n[[inputs.swap]]\r\n  # no configuration\r\n\r\n\r\n# Read metrics about system load & uptime\r\n[[inputs.system]]\r\n  # no configuration\r\n\r\n# # Read metrics about network interface usage\r\n [[inputs.net]]\r\n#   ## By default, telegraf gathers stats from any up interface (excluding loopback)\r\n#   ## Setting interfaces will tell it to gather these explicit interfaces,\r\n#   ## regardless of status.\r\n#   ##\r\n    interfaces = [\"eth0\"]\r\n\t\r\n# # Read TCP metrics such as established, time wait and sockets counts.\r\n [[inputs.netstat]]\r\n#   # no configuration\t\r\n  \r\n# # Read metrics about docker containers\r\n [[inputs.docker]]\r\n#   ## Docker Endpoint\r\n#   ##   To use TCP, set endpoint = \"tcp://[ip]:[port]\"\r\n#   ##   To use environment variables (ie, docker-machine), set endpoint = \"ENV\"\r\n   endpoint = \"unix:///var/run/docker.sock\"\r\n#\r\n#   ## Set to true to collect Swarm metrics(desired_replicas, running_replicas)\r\n   gather_services = false\r\n#\r\n#   ## Only collect metrics for these containers, collect all if empty\r\n   container_names = []\r\n#\r\n#   ## Containers to include and exclude. Globs accepted.\r\n#   ## Note that an empty array for both will include all containers\r\n   container_name_include = []\r\n#   container_name_exclude = []\r\n#\r\n#   ## Timeout for docker list, info, and stats commands\r\n   timeout = \"5s\"\r\n#\r\n#   ## Whether to report for each container per-device blkio (8:0, 8:1...) and\r\n#   ## network (eth0, eth1, ...) stats or not\r\n   perdevice = true\r\n#   ## Whether to report for each container total blkio and network stats or not\r\n#   total = false\r\n#   ## Which environment variables should we use as a tag\r\n#   ##tag_env = [\"JAVA_HOME\", \"HEAP_SIZE\"]\r\n#\r\n#   ## docker labels to include and exclude as tags.  Globs accepted.\r\n#   ## Note that an empty array for both will include all labels as tags\r\n   docker_label_include = []\r\n#   docker_label_exclude = []\r\n#\r\n#   ## Optional SSL Config\r\n#   # ssl_ca = \"/etc/telegraf/ca.pem\"\r\n#   # ssl_cert = \"/etc/telegraf/cert.pem\"\r\n#   # ssl_key = \"/etc/telegraf/key.pem\"\r\n#   ## Use SSL but skip chain & host verification\r\n#   # insecure_skip_verify = false\r\n```","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"influxdb","datasource":"InfluxDB","privacy":"public","createdAt":"2018-12-20T02:59:46.000Z","updatedAt":"2019-12-07T10:46:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":4.33,"links":[{"rel":"self","href":"/dashboards/9558"},{"rel":"revisions","href":"/dashboards/9558/revisions"},{"rel":"revision","href":"/dashboards/9558/revisions/15"},{"rel":"download","href":"/dashboards/9558/revisions/15/download"},{"rel":"org","href":"/orgs/gilbn"},{"rel":"images","href":"/dashboards/9558/images"},{"rel":"thumbnails","href":"/dashboards/9558/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13094,"status":1,"statusCode":"active","orgId":412328,"orgSlug":"abdulmuizz","orgName":"abdulmuizz","slug":"plex-varken-dashboard-unofficial","downloads":281,"revisionId":18977,"revision":1,"name":"Plex - Varken Dashboard [Unofficial]","description":"A Grafana dashboard for 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with the Quickstat npm package.","readme":"# PM2 Monitoring Plugin\r\n\r\nThe QuickStat PM2 Plugin offers seamless integration with PM2 instances, allowing effortless monitoring of key metrics. It exports these metrics to Prometheus, enabling visualization in Grafana dashboards.\r\n\r\nIf you are new to QuickStat and its component, feel free to check the [official documentation](https://www.npmjs.com/package/@quickstat/core) for a detailed breakdown.\r\n\r\n![](https://github.com/QuickStat/quickstat/blob/docs-pm2-plugin/examples/plugins/pm2/assets/pm2_grafana_all_table.png)\r\n![](https://github.com/QuickStat/quickstat/blob/docs-pm2-plugin/examples/plugins/pm2/assets/pm2_grafana_all_single.png)\r\n\r\n## Installation\r\n\r\nStart by installing the QuickStat core package, the data source used by grafana and then the PM2 plugin:\r\n\r\n```bash\r\nnpm install @quickstat/core\r\nnpm install @quickstat/prometheus\r\nnpm install @quickstat/pm2\r\n```\r\n\r\n## Getting Started\r\n\r\nIf you use docker and want to get started quickly, you can check the [following docker-setup](https://github.com/QuickStat/quickstat/tree/master/examples/plugins/pm2), which allows you to skip the setup and directly use the plugin. Once you have setup docker, continue on Step 3.\r\n\r\nIf your unfamiliar with [QuickStat's plugins](https://github.com/QuickStat/quickstat/tree/master?tab=readme-ov-file#plugins), then keep in mind that you can also use other strategies such as (PushGateway) for exposing metrics or even combine your dashboard with other plugins.\r\n\r\nIf you want to set up Prometheus and Grafana manually, follow the steps below:\r\n\r\n### 1. Setup Prometheus and Grafana\r\n\r\n1. **Install Prometheus**: Follow the [official documentation](https://prometheus.io/docs/prometheus/latest/installation/) to install Prometheus on your system.\r\n\r\n2. **Install Grafana**: Refer to the [official documentation](https://grafana.com/docs/grafana/latest/installation/) for instructions on installing Grafana.\r\n\r\n3. **Configure Prometheus Data Source in Grafana**: After installing Grafana, configure Prometheus as a data source. Go to Grafana settings, add a new data source, and specify the URL where Prometheus is running.\r\n\r\n### 2. Import Dashboard to Grafana\r\n\r\nOnce Prometheus and Grafana are set up, you can add [following Dashboard](https://grafana.com/grafana/dashboards/20864). Navigate to the Grafana dashboard page, click on \"Import\" and paste the dashboard template URL. Then, customize the dashboard as needed.\r\n\r\n### 3. Expose PM2 Metrics\r\n\r\nTo expose the metrics to prometheus using the QuickStat PM2 Plugin, use the following code snippet:\r\n\r\n```javascript\r\nimport { Client as QuickStatClient } from '@quickstat/core'\r\nimport { Pm2Plugin } from '@quickstat/pm2'\r\nimport { PrometheusDataSource, ScrapeStrategy } from '@quickstat/prometheus'\r\nimport pm2 from 'pm2' // uses the pm2 to get the metrics\r\nimport http from 'http'\r\n\r\n// Create QuickStat Client\r\nconst quickStatClient = new QuickStatClient() < PrometheusDataSource < ScrapeStrategy >> ({\r\n      metrics: [],\r\n      plugins: [\r\n        // Register PM2 Plugin\r\n        new Pm2Plugin({\r\n          excludeMetrics: [],\r\n          pm2,\r\n        }),\r\n      ],\r\n      // Register the data source\r\n      dataSource: new PrometheusDataSource({\r\n        strategy: new ScrapeStrategy(),\r\n      }),\r\n    })\r\n\r\n// Let Prometheus scrape the metrics at http://localhost:3242\r\n// WARNING: On production, properly secure the endpoint (if open)\r\nhttp.createServer(async (req, res) => {\r\n  const response = await quickStatClient.dataSource?.strategy?.getResponse()\r\n\r\n  // Write the prometheus response file\r\n  if (response) {\r\n    res.writeHead(200, response.headers)\r\n    res.end(response.file)\r\n  }\r\n}).listen(3242)\r\n```\r\n\r\n### 4. Start the Application\r\n\r\nAfter setting up the code, start the application. The metrics will be available at `http://localhost:3242` in Prometheus format and will be scraped by Prometheus, which will then be used for visualization in Grafana.\r\n\r\n## Configuration\r\n\r\n### DataSource\r\n\r\nThe example above uses the PrometheusDataSource with the ScrapeStrategy. The ScrapeStrategy exposes the prometheus file on the given endpoint for being scraped from prometheus. You can also use the PushGatewayStrategy to push the metrics to the PushGateway of Prometheus.\r\n\r\nIf you would like to use other data sources, you can take a look at the available data sources in the [@quickstat/core package](https://github.com/QuickStat/quickstat?tab=readme-ov-file#data-sources)\r\n\r\n### Plugin\r\n\r\nThe PM2 Plugin requires the pm2 package to be passed as an argument. You can also exclude pm2 metrics which should not be processed by the plugin. The plugin uses key value mapping for extracting the value from the pm2 metric object. 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","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2022-10-09T11:36:23.000Z","updatedAt":"2023-07-07T10:06:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17138"},{"rel":"revisions","href":"/dashboards/17138/revisions"},{"rel":"revision","href":"/dashboards/17138/revisions/2"},{"rel":"download","href":"/dashboards/17138/revisions/2/download"},{"rel":"org","href":"/orgs/lucascontre95"},{"rel":"images","href":"/dashboards/17138/images"},{"rel":"thumbnails","href":"/dashboards/17138/thumbnails"}]},{"id":17639,"status":1,"statusCode":"active","orgId":751517,"orgSlug":"dreamofice","orgName":"dreamofice","slug":"podman-en","downloads":886,"revisionId":27098,"revision":1,"name":"Podman Dashboard EN","description":"Podman dashboard by DreamOfIce","readme":"# Grafana Podman Dashboard\r\n\r\nA Grafana dashboard for use with 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Install and run [prometheus-podman-exporter](https://github.com/containers/prometheus-podman-exporter).\r\n2. Import the dashboard:\r\n\r\n- Use `grafana.com`:\r\n  > Link: [Podman Dashboard EN](https://grafana.com/grafana/dashboards/17639)  \r\n  > Dashboard ID: `17639`\r\n- Or import json manually:\r\n  [dashboard-json](https://raw.githubusercontent.com/DreamOfIce/grafana-podman-dashboard/main/dashboards/en-us.json)\r\n\r\n3. Enjoy it!\r\n\r\n## License\r\n\r\nMIT\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-12-16T15:08:16.000Z","updatedAt":"2023-02-05T13:50:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17639"},{"rel":"revisions","href":"/dashboards/17639/revisions"},{"rel":"revision","href":"/dashboards/17639/revisions/1"},{"rel":"download","href":"/dashboards/17639/revisions/1/download"},{"rel":"org","href":"/orgs/dreamofice"},{"rel":"images","href":"/dashboards/17639/images"},{"rel":"thumbnails","href":"/dashboards/17639/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17638,"status":1,"statusCode":"active","orgId":751517,"orgSlug":"dreamofice","orgName":"dreamofice","slug":"podman","downloads":765,"revisionId":27097,"revision":1,"name":"Podman Dashboard 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License\r\n\r\nMIT\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-12-16T13:52:06.000Z","updatedAt":"2023-02-05T13:58:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17638"},{"rel":"revisions","href":"/dashboards/17638/revisions"},{"rel":"revision","href":"/dashboards/17638/revisions/1"},{"rel":"download","href":"/dashboards/17638/revisions/1/download"},{"rel":"org","href":"/orgs/dreamofice"},{"rel":"images","href":"/dashboards/17638/images"},{"rel":"thumbnails","href":"/dashboards/17638/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21559,"status":1,"statusCode":"active","orgId":1177988,"orgSlug":"errandil85","orgName":"errandil85","slug":"podman-exporter-dashboard","downloads":7155,"revisionId":33661,"revision":1,"name":"Podman Exporter Dashboard","description":"This dashboard leverages Prometheus podman 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The catalog pg_class catalogs tables and most everything else that has columns or is otherwise similar to a table. This includes indexes, sequences, views, materialized views, composite types, and TOAST tables.","readme":"The dashboard is prepared for PMM2.\n\nMetrics are collected by a custom query. It's used postgresql_exporter (https://github.com/percona/postgres_exporter). \nSo we need create a file with a custom query. Postgresql exporter is processing custom queries files by default. So you should place your file into one of next path refer to a desired scraping interval and restart the exporter.\n\n/usr/local/percona/pmm2/collectors/custom-queries/postgresql/low-resolution\n\n/usr/local/percona/pmm2/collectors/custom-queries/postgresql/medium-resolution\n\n/usr/local/percona/pmm2/collectors/custom-queries/postgresql/high-resolution\n\nWe propose to use our bash script (https://gist.github.com/adivinho/12641a0d2fda105c00e5aa6bf2bdce09) that generates a query and forms other fields for a custom query file. You have to specify the database name, or names, that will be monitored. You can store the result of the script in a separate file or can extend an existing file with queries.\n\n$ ./postgres_query_size_generator.sh sbtest sbtest2 >> queries-postgres-2.yml\n\nNext metrics are collected:\n* pg_class_table_rows\n* pg_class_disk_usage_table_bytes\n* pg_class_disk_usage_index_bytes\n* pg_class_disk_usage_toast_bytes","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-09T09:10:48.000Z","updatedAt":"2020-03-20T11:46:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11872"},{"rel":"revisions","href":"/dashboards/11872/revisions"},{"rel":"revision","href":"/dashboards/11872/revisions/6"},{"rel":"download","href":"/dashboards/11872/revisions/6/download"},{"rel":"org","href":"/orgs/adivinho"},{"rel":"images","href":"/dashboards/11872/images"},{"rel":"thumbnails","href":"/dashboards/11872/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10013,"status":1,"statusCode":"active","orgId":222696,"orgSlug":"anarcat","orgName":"anarcat","slug":"postfix","downloads":131555,"revisionId":14005,"revision":2,"name":"Postfix","description":"Prometheus Postfix exporter metrics.","readme":"This dashboard parses data from the [Prometheus Postfix exporter](https://github.com/kumina/postfix_exporter/) and renders it in various graphics. Data can be aggregated across all mailservers or on a subset. Supports per-daemon message processing rate, queue message counts and sizes, delivery duration, rejection rates and TLS cipher usage.\r\n\r\nOriginally written by @BartVerc by adapted to normal exporter metrics by @anarcat.\r\n\r\nDEPRECATION NOTICE: I do not actually use this dashboard anymore as there are significant issues with the postfix exporter. Instead I use a mtail-based approach, see this page for details: <https://gitlab.torproject.org/tpo/tpa/grafana-dashboards>","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-04-08T18:01:37.000Z","updatedAt":"2023-09-08T17:13:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":5,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/10013"},{"rel":"revisions","href":"/dashboards/10013/revisions"},{"rel":"revision","href":"/dashboards/10013/revisions/2"},{"rel":"download","href":"/dashboards/10013/revisions/2/download"},{"rel":"org","href":"/orgs/anarcat"},{"rel":"images","href":"/dashboards/10013/images"},{"rel":"thumbnails","href":"/dashboards/10013/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12820,"status":1,"statusCode":"active","orgId":225578,"orgSlug":"sobaka","orgName":"sobaka","slug":"postfix","downloads":694,"revisionId":18501,"revision":3,"name":"Postfix","description":"Dashboard of statistic mail system","readme":"Collect postfix statistic and log messages.","collectorType":"collectd","collectorConfig":"```\r\nLoadPlugin tail\r\n<Plugin \"Tail\">\r\n    <File \"/var/log/mail.log\">\r\n        Instance \"postfix\"\r\n                # critical\r\n                <Match>\r\n                        Regex \": killed: \"\r\n                        DSType \"CounterInc\"\r\n                        Type \"counter\"\r\n                        Instance \"killed\"\r\n                </Match>\r\n                <Match>\r\n                        Regex \": fatal: \"\r\n                        DSType \"CounterInc\"\r\n                        Type \"counter\"\r\n                        Instance \"fatal\"\r\n                </Match>\r\n                <Match>\r\n                        Regex \": warning: \"\r\n                        DSType \"CounterInc\"\r\n                        Type \"counter\"\r\n                        Instance \"warning\"\r\n                </Match>\r\n        # number of connections\r\n        # (incoming)\r\n        <Match>\r\n            Regex \"\\\\<postfix\\\\/smtpd\\\\[[0-9]+\\\\]: connect from\\\\>\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"connection-in-open\"\r\n        </Match>\r\n        <Match>\r\n            Regex \"\\\\<postfix\\\\/smtpd\\\\[[0-9]+\\\\]: disconnect from\\\\>\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"connection-in-close\"\r\n        </Match>\r\n        <Match>\r\n            Regex \"\\\\<postfix\\\\/smtpd\\\\[[0-9]+\\\\]: lost connection after .* from\\\\>\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"connection-in-lost\"\r\n        </Match>\r\n        <Match>\r\n            Regex \"\\\\<postfix\\\\/smtpd\\\\[[0-9]+\\\\]: timeout after .* from\\\\>\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"connection-in-timeout\"\r\n        </Match>\r\n        <Match>\r\n            Regex \"\\\\<postfix\\\\/smtpd\\\\[[0-9]+\\\\]: setting up TLS connection from\\\\>\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"connection-in-TLS-setup\"\r\n        </Match>\r\n        <Match>\r\n            Regex \"\\\\<postfix\\\\/smtpd\\\\[[0-9]+\\\\]: [A-Za-z]+ TLS connection established from\\\\>\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"connection-in-TLS-established\"\r\n        </Match>\r\n    # auth success\r\n        <Match>\r\n            Regex \": imap-login: Login: user=<.*>, .*, session=<.*>\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"auth_imap_login\"\r\n        </Match>\r\n        <Match>\r\n            Regex \": pop3-login: Login: user=<.*>, .*, session=<.*>\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"auth_pop3_login\"\r\n        </Match>\r\n        # auth failed imap\r\n        <Match>\r\n            Regex \": imap-login: Disconnected \\\\((auth failed|no auth attempts)\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"auth_imap_failed\"\r\n        </Match>\r\n        <Match>\r\n            Regex \": imap-login: Disconnected: Too many invalid commands\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"auth_imap_invalid_commands\"\r\n        </Match>\r\n    # auth failed pop3\r\n        <Match>\r\n            Regex \": pop3-login: Disconnected \\\\((auth failed|no auth attempts)\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"auth_pop3_failed\"\r\n        </Match>\r\n        <Match>\r\n            Regex \": pop3-login: Disconnected: Too many invalid commands\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"auth_pop3_invalid_commands\"\r\n        </Match>\r\n    # auth failed other\r\n        <Match>\r\n            Regex \": SASL LOGIN authentication failed:\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"auth_sasl_failed\"\r\n        </Match>\r\n    # rejects smtp\r\n        <Match>\r\n            Regex \"smtp\\\\[[0-9+]\\\\]:.*(Message rejected under suspicion of SPAM|Spam message rejected|The email message was detected as spam)\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"rejected_smtp__spam\"\r\n        </Match>\r\n        <Match>\r\n            Regex \"smtp\\\\[[0-9+]\\\\]:.*Recipient address rejected: mailbox full\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"rejected_smtp__mailbox_full\"\r\n        </Match>\r\n        <Match>\r\n            Regex \"smtp\\\\[[0-9+]\\\\]:.*Temporarily rejected. Try again later\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"rejected_smtp__temporary\"\r\n        </Match>\r\n        <Match>\r\n            Regex \"smtp\\\\[[0-9+]\\\\]:.*recipient address rejected: Blocked\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"rejected_smtp__blocked\"\r\n        </Match>\r\n    # reject smtpd\r\n        <Match>\r\n            Regex \"550 5\\\\.1\\\\.1 <.*>: Recipient address rejected: User unknown in virtual mailbox table\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"rejected-unknown_rcpt_addr\"\r\n        </Match>\r\n        <Match>\r\n            Regex \"450 4\\\\.7\\\\.25 Client host rejected: cannot find your hostname, \"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"rejected-cannot_find_hostname\"\r\n        </Match>\r\n        <Match>\r\n            Regex \"450 4\\\\.7\\\\.1 <.*>: Helo command rejected: Host not found\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"rejected-host_not_found\"\r\n        </Match>\r\n        <Match>\r\n            Regex \"454 4\\\\.7\\\\.1 <.*>: Relay access denied\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"rejected-relay_access_denied\"\r\n        </Match>\r\n    # status codes\r\n        <Match>\r\n            Regex \"status=deferred\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"status-deferred\"\r\n        </Match>\r\n        <Match>\r\n            Regex \"status=forwarded\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"status-forwarded\"\r\n        </Match>\r\n        <Match>\r\n            Regex \"status=reject\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"status-reject\"\r\n        </Match>\r\n        <Match>\r\n            Regex \"status=sent\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"status-sent\"\r\n        </Match>\r\n        <Match>\r\n            Regex \"status=bounced\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"status-bounced\"\r\n        </Match>\r\n        <Match>\r\n            Regex \"status=SOFTBOUNCE\"\r\n            DSType \"CounterInc\"\r\n            Type \"counter\"\r\n            Instance \"status-softbounce\"\r\n        </Match>\r\n        # message size\r\n        <Match>\r\n            Regex \"size=([0-9]*)\"\r\n            DSType \"CounterAdd\"\r\n            Type \"ipt_bytes\"\r\n            Instance \"size\"\r\n        </Match>\r\n        # delays (see [1] for details)\r\n        # total time spent in the Postfix queue\r\n        <Match>\r\n            Regex \"delay=([\\.0-9]*)\"\r\n            DSType \"GaugeAverage\"\r\n            Type \"gauge\"\r\n            Instance \"delay\"\r\n        </Match>\r\n        # time spent before the queue manager, including message transmission\r\n        <Match>\r\n            Regex \"delays=([\\.0-9]*)/[\\.0-9]*/[\\.0-9]*/[\\.0-9]*\"\r\n            DSType \"GaugeAverage\"\r\n            Type \"gauge\"\r\n            Instance \"delay-before_queue_mgr\"\r\n        </Match>\r\n        # time spent in the queue manager\r\n        <Match>\r\n            Regex \"delays=[\\.0-9]*/([\\.0-9]*)/[\\.0-9]*/[\\.0-9]*\"\r\n            DSType \"GaugeAverage\"\r\n            Type \"gauge\"\r\n            Instance \"delay-in_queue_mgr\"\r\n        </Match>\r\n        # connection setup time including DNS, HELO and TLS\r\n        <Match>\r\n            Regex \"delays=[\\.0-9]*/[\\.0-9]*/([\\.0-9]*)/[\\.0-9]*\"\r\n            DSType \"GaugeAverage\"\r\n            Type \"gauge\"\r\n            Instance \"delay-setup_time\"\r\n        </Match>\r\n        # message transmission time\r\n        <Match>\r\n            Regex \"delays=[\\.0-9]*/[\\.0-9]*/[\\.0-9]*/([\\.0-9]*)\"\r\n            DSType \"GaugeAverage\"\r\n            Type \"gauge\"\r\n            Instance \"delay-trans_time\"\r\n        </Match>\r\n    </File>\r\n</Plugin>\r\n```","collectorPluginList":"Write Graphite plugin, Tail plugin","datasource":"Graphite","privacy":"public","createdAt":"2020-08-12T10:01:58.000Z","updatedAt":"2020-08-17T13:00:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12820"},{"rel":"revisions","href":"/dashboards/12820/revisions"},{"rel":"revision","href":"/dashboards/12820/revisions/3"},{"rel":"download","href":"/dashboards/12820/revisions/3/download"},{"rel":"org","href":"/orgs/sobaka"},{"rel":"images","href":"/dashboards/12820/images"},{"rel":"thumbnails","href":"/dashboards/12820/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":20574,"status":1,"statusCode":"active","orgId":1015625,"orgSlug":"pavlozt","orgName":"pavlozt","slug":"postfix-delivery-status","downloads":917,"revisionId":31814,"revision":2,"name":"Postfix Delivery Status","description":"Log-based solution for monitoring Postfix","readme":"Dashboard that uses only logs from Loki as datasource. Logs will be processed on the server.\r\n\r\nFor extra large mail volumes, some values cannot be counted. In this case, consider increase Loki settings (see https://github.com/grafana/loki/issues/3045) .\r\n\r\nHere is the approximate configuration of the promtail software:\r\n```\r\nclients:\r\n  - external_labels:\r\n      host_id: mailserver.domain\r\n    url: http://192.168.1.1:3100/loki/api/v1/push\r\n\r\n- job_name: mail\r\n  static_configs:\r\n    - targets:\r\n      - localhost\r\n    labels:\r\n      job: mail\r\n      __path__: /var/mail/mail.log\r\n```\r\n\r\nThere is also an alternative solution based on Zabbix\r\nhttps://github.com/pavlozt/ansible-role-zabbixmon_postfix","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2024-02-26T20:41:35.000Z","updatedAt":"2025-07-05T17:11:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20574"},{"rel":"revisions","href":"/dashboards/20574/revisions"},{"rel":"revision","href":"/dashboards/20574/revisions/2"},{"rel":"download","href":"/dashboards/20574/revisions/2/download"},{"rel":"org","href":"/orgs/pavlozt"},{"rel":"images","href":"/dashboards/20574/images"},{"rel":"thumbnails","href":"/dashboards/20574/thumbnails"}],"datasourceSlugs":["loki"]},{"id":3300,"status":1,"statusCode":"active","orgId":87459,"orgSlug":"ipolishchuk","orgName":"Igor Polishchuk","slug":"postgres-node","downloads":2074,"revisionId":4566,"revision":1,"name":"Postgres Node","description":"Performance metrics for Postgres","readme":"It uses postgres_exporter collector https://github.com/wrouesnel/postgres_exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-09-25T22:49:35.000Z","updatedAt":"2017-09-25T22:53:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3300"},{"rel":"revisions","href":"/dashboards/3300/revisions"},{"rel":"revision","href":"/dashboards/3300/revisions/1"},{"rel":"download","href":"/dashboards/3300/revisions/1/download"},{"rel":"org","href":"/orgs/ipolishchuk"},{"rel":"images","href":"/dashboards/3300/images"},{"rel":"thumbnails","href":"/dashboards/3300/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6995,"status":1,"statusCode":"active","orgId":168953,"orgSlug":"desaintmartin","orgName":"Cédric de Saint Martin","slug":"postgres-node","downloads":836,"revisionId":11165,"revision":2,"name":"Postgres Node","description":"Performance metrics for Postgres. Fork of https://grafana.com/dashboards/3300\r\nUses Postgres Exporter. https://github.com/wrouesnel/postgres_exporter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-16T13:48:41.000Z","updatedAt":"2018-10-01T13:13:21.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6995"},{"rel":"revisions","href":"/dashboards/6995/revisions"},{"rel":"revision","href":"/dashboards/6995/revisions/2"},{"rel":"download","href":"/dashboards/6995/revisions/2/download"},{"rel":"org","href":"/orgs/desaintmartin"},{"rel":"images","href":"/dashboards/6995/images"},{"rel":"thumbnails","href":"/dashboards/6995/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":455,"status":1,"statusCode":"active","orgId":28508,"orgSlug":"hagen","orgName":"hagen","slug":"postgres-overview","downloads":223820,"revisionId":10206,"revision":2,"name":"Postgres Overview","description":"Performance metrics for Postgres","readme":"Dashboard allow to monitor:\r\n - rows fetched/returned/inserted/updated/deleted per second\r\n- total qps based on commits and rollbacks\r\n- buffers state\r\n- deadlocks and conflicts graph\r\n- cache hit ratio graph\r\n- number of active connections\r\n\r\nThe author assumes that the metrics are scraped from various hosts and databases. That's why there are placed two templates: $host and $db. Graphs would change accordingly to selected value.\r\n\r\nRequirements: \r\nDashboard is based on the https://github.com/wrouesnel/postgres_exporter metrics\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-09-15T09:23:43.000Z","updatedAt":"2018-08-13T05:55:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/455"},{"rel":"revisions","href":"/dashboards/455/revisions"},{"rel":"revision","href":"/dashboards/455/revisions/2"},{"rel":"download","href":"/dashboards/455/revisions/2/download"},{"rel":"org","href":"/orgs/hagen"},{"rel":"images","href":"/dashboards/455/images"},{"rel":"thumbnails","href":"/dashboards/455/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":355,"status":1,"statusCode":"active","orgId":12931,"orgSlug":"ggreen","orgName":"Graham Green","slug":"postgres-overview","downloads":6374,"revisionId":481,"revision":1,"name":"Postgres Overview","description":"Performance metrics for Postgres","readme":"The dashboard provides the following;\r\n\r\nSystem stats for uptime, cpu count, RAM, free memory %, and panels load, I/O and network.\r\n\r\nPostgres metrics include:\r\nRows returned, single stat for queries per second (QPS), buffers, and conflicts and deadlocks.\r\n\r\nMetrics come from the Telegraf daemon on the host and require the Postgres plugin for Telegraf to be enabled.\r\n\r\nThe dashboard utilizes templating to dynamically choose the datasource and host In our usecase we have a different datasource for each of our environments (dev, qa, staging and prod) so being able to easily switch between them is very useful, you could easily remove this option if you have a single data source. The available hosts gets updated when you change data srouces.","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2016-08-20T06:42:06.000Z","updatedAt":"2016-08-20T06:47:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/355"},{"rel":"revisions","href":"/dashboards/355/revisions"},{"rel":"revision","href":"/dashboards/355/revisions/1"},{"rel":"download","href":"/dashboards/355/revisions/1/download"},{"rel":"org","href":"/orgs/ggreen"},{"rel":"images","href":"/dashboards/355/images"},{"rel":"thumbnails","href":"/dashboards/355/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10921,"status":1,"statusCode":"active","orgId":293659,"orgSlug":"gisaba1980","orgName":"gisaba1980","slug":"postgres-overview","downloads":409,"revisionId":15257,"revision":2,"name":"Postgres Overview","description":"Performance metrics for Postgres","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-09-27T07:19:29.000Z","updatedAt":"2019-09-27T07:21:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10921"},{"rel":"revisions","href":"/dashboards/10921/revisions"},{"rel":"revision","href":"/dashboards/10921/revisions/2"},{"rel":"download","href":"/dashboards/10921/revisions/2/download"},{"rel":"org","href":"/orgs/gisaba1980"},{"rel":"images","href":"/dashboards/10921/images"},{"rel":"thumbnails","href":"/dashboards/10921/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7626,"status":1,"statusCode":"active","orgId":181728,"orgSlug":"grivolta","orgName":"grivolta","slug":"postgres-overview","downloads":1508,"revisionId":10380,"revision":1,"name":"Postgres Overview - more info","description":"Dashboard allow to monitor:\r\n\r\n- Uptime\r\n- N. of CPUs\r\n- GB of RAM\r\n- Memory Available on the $host\r\n- Memory Used on the $host\r\n- QPS (singlestat and graph)\r\n- Rows fetched/returned/inserted/updated/deleted per second\r\n- Buffers state\r\n- Deadlocks and conflicts graph\r\n- IOPS and I/O Bytes\r\n- CPU Idle\r\n\r\nThe author assumes that the metrics are scraped from various hosts and databases. That's why there are placed two templates: $host and $db. Graphs would change accordingly to selected value.","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"postgresql","datasource":"InfluxDB","privacy":"public","createdAt":"2018-08-22T07:52:42.000Z","updatedAt":"2018-08-22T08:07:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/7626"},{"rel":"revisions","href":"/dashboards/7626/revisions"},{"rel":"revision","href":"/dashboards/7626/revisions/1"},{"rel":"download","href":"/dashboards/7626/revisions/1/download"},{"rel":"org","href":"/orgs/grivolta"},{"rel":"images","href":"/dashboards/7626/images"},{"rel":"thumbnails","href":"/dashboards/7626/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21802,"status":1,"statusCode":"active","orgId":90180,"orgSlug":"andrii29","orgName":"andrii29","slug":"postgres-performance-insights","downloads":416,"revisionId":39015,"revision":3,"name":"Postgres Performance Insights","description":"PostgreSQL Performance Insights Exporter","readme":"[Start Exporter](https://github.com/andrii29/postgres-performance-insights-exporter)\r\n\r\nOr run in [docker](https://hub.docker.com/r/andriik/postgres-performance-insights-exporter)\r\n\r\nRead more at [Medium](https://medium.com/@andriikrymus/performance-insights-for-postgresql-with-prometheus-and-grafana-920ee8a79f07)\r\n\r\n```\r\ndocker run -it --rm --net host \\\r\n  -e DB_NAME=test \\\r\n  -e DB_USER=postgres \\\r\n  -e DB_PASSWORD=pass \\\r\n  -e DB_HOST=127.0.0.1 \\\r\n  -e DB_PORT=5432 \\\r\n  --name postgres-performance-insights-exporter \\\r\n  andriik/postgres-performance-insights-exporter\r\n```\r\n\r\nPrometheus configuration\r\n```\r\nscrape_configs:\r\n  - job_name: 'postgres-performance-insights-exporter'\r\n    scrape_interval: 1s\r\n    static_configs:\r\n      - targets: ['127.0.0.1:9153']\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-08-31T14:54:46.000Z","updatedAt":"2025-11-15T08:45:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21802"},{"rel":"revisions","href":"/dashboards/21802/revisions"},{"rel":"revision","href":"/dashboards/21802/revisions/3"},{"rel":"download","href":"/dashboards/21802/revisions/3/download"},{"rel":"org","href":"/orgs/andrii29"},{"rel":"images","href":"/dashboards/21802/images"},{"rel":"thumbnails","href":"/dashboards/21802/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11376,"status":1,"statusCode":"active","orgId":316209,"orgSlug":"wanghy8166","orgName":"wanghy8166","slug":"postgresql","downloads":1198,"revisionId":16459,"revision":2,"name":"postgresql","description":"https://github.com/wrouesnel/postgres_exporter","readme":"# 授权\n[https://github.com/wrouesnel/postgres_exporter#running-as-non-superuser](https://github.com/wrouesnel/postgres_exporter#running-as-non-superuser)\n# 部署\n```\ndate -R\nmv /etc/timezone /etc/timezone-`date +%Y%m%d-%H%M%S`\necho 'Asia/Shanghai' > /etc/timezone\nmv /etc/localtime /etc/localtime-`date +%Y%m%d-%H%M%S`\ncp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime\n\ndocker pull wrouesnel/postgres_exporter\ndocker rm -f postgres-exporter\ndocker run -d \\\n  --name postgres-exporter \\\n  -v /etc/timezone:/etc/timezone \\\n  -v /etc/localtime:/etc/localtime \\\n  -p 9187:9187 \\\n  -e DATA_SOURCE_NAME=\"postgresql://postgres:passw0rd@172.17.10.94:5432/postgres?sslmode=disable\" \\\n  --restart=unless-stopped \\\n  wrouesnel/postgres_exporter\ndocker logs -f --tail 10 postgres-exporter\n```\n# dashboard from\n[https://github.com/percona/grafana-dashboards/blob/master/dashboards/PostgreSQL_Overview.json](https://github.com/percona/grafana-dashboards/blob/master/dashboards/PostgreSQL_Overview.json)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-12-10T08:36:20.000Z","updatedAt":"2020-01-29T06:45:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":2,"reviewsAvgRating":2,"links":[{"rel":"self","href":"/dashboards/11376"},{"rel":"revisions","href":"/dashboards/11376/revisions"},{"rel":"revision","href":"/dashboards/11376/revisions/2"},{"rel":"download","href":"/dashboards/11376/revisions/2/download"},{"rel":"org","href":"/orgs/wanghy8166"},{"rel":"images","href":"/dashboards/11376/images"},{"rel":"thumbnails","href":"/dashboards/11376/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17411,"status":1,"statusCode":"active","orgId":259814,"orgSlug":"seuf76","orgName":"seuf76","slug":"postgresql","downloads":47200,"revisionId":26744,"revision":1,"name":"Postgresql","description":"Postgresql dashboard for prometheus datasource with telegraf exporter + loki datasource.\r\n","readme":"expose postgresql metrics to prometheus format with telegraf.\r\nAlso scrape postgresql logs with loki from telegraf tail plugin.\r\nThis can be used to monitor postgresql instances managed by a zalando postgresql oeprator with a telegraf sidecar.","collectorType":"Telegraf","collectorConfig":"```\r\n[agent]\r\n  interval = \"10s\"\r\n  round_interval = true\r\n  metric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"10s\"\r\n  flush_jitter = \"0s\"\r\n  logtarget = \"stderr\"\r\n  omit_hostname = false\r\n\r\n[[outputs.prometheus_client]]\r\n  listen = \":9273\"\r\n  namedrop = [\"tail\"]\r\n\r\n[[outputs.file]]\r\n  namepass = [\"tail\"]\r\n  files = [\"stdout\"]\r\n  data_format = \"json\"\r\n\r\n[[inputs.disk]]\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\r\n[[inputs.diskio]]\r\n\r\n[[inputs.postgresql_extensible]]\r\n  address = \"host=127.0.0.1 user=telegraf dbname=$DATABASE_NAME sslmode=require password=$TELEGRAF_PASSWORD\"\r\n  databases = [\"$DATABASE_NAME\"]\r\n  [[inputs.postgresql_extensible.query]]\r\n    sqlquery=\"SELECT * FROM pg_stat_database where datname\"\r\n    version=110\r\n    withdbname=true\r\n    tagvalue=\"\"\r\n  [[inputs.postgresql_extensible.query]]\r\n    sqlquery=\"SELECT * FROM pg_stat_bgwriter\"\r\n    version=1100\r\n    withdbname=false\r\n    tagvalue=\"\"\r\n  [[inputs.postgresql_extensible.query]]\r\n    sqlquery=\"SELECT usename, count(*) as nb_connections FROM pg_stat_activity GROUP BY usename\"\r\n    version=1100\r\n    withdbname=false\r\n    tagvalue=\"usename\"\r\n  [[inputs.postgresql_extensible.query]]\r\n    sqlquery=\"select setting as max_connections from pg_settings where name='max_connections'\"\r\n    version=1100\r\n    withdbname=false\r\n    tagvalue=\"\"\r\n  [[inputs.postgresql_extensible.query]]\r\n    sqlquery=\"select setting as shared_buffers from pg_settings where name='shared_buffers'\"\r\n    version=1100\r\n    withdbname=false\r\n    tagvalue=\"\"\r\n  [[inputs.postgresql_extensible.query]]\r\n    sqlquery=\"SELECT pg_database_size('$DATABASE_NAME') as db_size\"\r\n    version=1100\r\n    withdbname=false\r\n    tagvalue=\"\"\r\n  [[inputs.postgresql_extensible.query]]\r\n    sqlquery=\"SELECT t.tablename, pg_total_relation_size('\\\"' || t.schemaname || '\\\".\\\"' || t.tablename || '\\\"') AS table_total_disc_size FROM pg_tables t WHERE t.schemaname = 'public' ORDER BY pg_total_relation_size('\\\"' || t.schemaname || '\\\".\\\"' || t.tablename || '\\\"') DESC LIMIT 10\"\r\n    version=1100\r\n    withdbname=false\r\n    tagvalue=\"tablename\"\r\n  [[inputs.postgresql_extensible.query]]\r\n    sqlquery=\"SELECT CASE WHEN pg_last_wal_receive_lsn() = pg_last_wal_replay_lsn() THEN 0 ELSE EXTRACT (EPOCH FROM now() - pg_last_xact_replay_timestamp()) END AS replication_lag\"\r\n    version=1100\r\n    withdbname=false\r\n    tagvalue=\"\"\r\n\r\n[[inputs.tail]]\r\n  files = [\"/home/postgres/pgdata/pgroot/pg_log/*.csv\"]\r\n  from_beginning = false\r\n  data_format = \"csv\"\r\n  csv_column_names = [\"log_time\", \"user_name\", \"database_name\", \"process_id\", \"connection_from\", \"session_id\", \"session_line_num\", \"command_tag\", \"session_start_time\", \"virtual_transaction_id\", \"transaction_id\", \"error_severity\", \"sql_state_code\", \"message\", \"detail\", \"hint\", \"internal_query\", \"internal_query_pos\", \"context\", \"query\", \"query_pos\", \"location\", \"application_name\"]\r\n```","collectorPluginList":"postgresql_extensible, tail","datasource":"Prometheus, Loki","privacy":"public","createdAt":"2022-11-15T10:13:48.000Z","updatedAt":"2022-11-15T10:20:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17411"},{"rel":"revisions","href":"/dashboards/17411/revisions"},{"rel":"revision","href":"/dashboards/17411/revisions/1"},{"rel":"download","href":"/dashboards/17411/revisions/1/download"},{"rel":"org","href":"/orgs/seuf76"},{"rel":"images","href":"/dashboards/17411/images"},{"rel":"thumbnails","href":"/dashboards/17411/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":18517,"status":1,"statusCode":"active","orgId":835881,"orgSlug":"veleteno","orgName":"veleteno","slug":"postgresql-aws-rds-database-overview","downloads":1137,"revisionId":28397,"revision":1,"name":"PostgreSQL AWS RDS Database Overview ","description":"Dashboard for PostgreSQL AWS RDS ","readme":"This dashboard based on prometheus-postgres-exporter and prometheus-cloudwatch-exporter for monitoring PostgreSQL AWS RDS","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-14T01:47:40.000Z","updatedAt":"2023-04-14T02:12:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18517"},{"rel":"revisions","href":"/dashboards/18517/revisions"},{"rel":"revision","href":"/dashboards/18517/revisions/1"},{"rel":"download","href":"/dashboards/18517/revisions/1/download"},{"rel":"org","href":"/orgs/veleteno"},{"rel":"images","href":"/dashboards/18517/images"},{"rel":"thumbnails","href":"/dashboards/18517/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18758,"status":1,"statusCode":"active","orgId":858314,"orgSlug":"guriandoro","orgName":"guriandoro","slug":"postgresql-checkpoints-and-wal-usage","downloads":466,"revisionId":28778,"revision":1,"name":"PostgreSQL Checkpoints and WAL Usage","description":"Percona Monitoring and Management 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It needs the postgresql_wal_bytes metric, which is calculated with pg_current_wal_lsn and pg_wal_lsn_diff (https://github.com/guriandoro/percona_live_23/blob/master/pmm_wal_bytes.sh).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"pmm-pt-summary-datasource, Prometheus","privacy":"public","createdAt":"2023-05-16T16:36:46.000Z","updatedAt":"2023-05-16T17:04:14.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18758"},{"rel":"revisions","href":"/dashboards/18758/revisions"},{"rel":"revision","href":"/dashboards/18758/revisions/1"},{"rel":"download","href":"/dashboards/18758/revisions/1/download"},{"rel":"org","href":"/orgs/guriandoro"},{"rel":"images","href":"/dashboards/18758/images"},{"rel":"thumbnails","href":"/dashboards/18758/thumbnails"}],"datasourceSlugs":["pmm-pt-summary-datasource","prometheus"]},{"id":9628,"status":1,"statusCode":"active","orgId":228602,"orgSlug":"lstn","orgName":"Lucas Estienne","slug":"postgresql-database","downloads":11568895,"revisionId":35333,"revision":8,"name":"PostgreSQL Database","description":"This dashboard works with postgres_exporter for prometheus","readme":"Requires Prometheus PostgreSQL exporter metrics. See: [wrouesnel/postgres_exporter](https://github.com/wrouesnel/postgres_exporter)\n\nGithub: [lstn/misc-grafana-dashboards](https://github.com/lstn/misc-grafana-dashboards)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-01-11T20:05:33.000Z","updatedAt":"2024-12-06T22:32:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":8,"reviewsAvgRating":4.5,"links":[{"rel":"self","href":"/dashboards/9628"},{"rel":"revisions","href":"/dashboards/9628/revisions"},{"rel":"revision","href":"/dashboards/9628/revisions/8"},{"rel":"download","href":"/dashboards/9628/revisions/8/download"},{"rel":"org","href":"/orgs/lstn"},{"rel":"images","href":"/dashboards/9628/images"},{"rel":"thumbnails","href":"/dashboards/9628/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11457,"status":1,"statusCode":"active","orgId":59972,"orgSlug":"fadjar340","orgName":"Fadjar 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7.5.0.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2019-12-22T08:56:13.000Z","updatedAt":"2019-12-22T09:01:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11457"},{"rel":"revisions","href":"/dashboards/11457/revisions"},{"rel":"revision","href":"/dashboards/11457/revisions/1"},{"rel":"download","href":"/dashboards/11457/revisions/1/download"},{"rel":"org","href":"/orgs/fadjar340"},{"rel":"images","href":"/dashboards/11457/images"},{"rel":"thumbnails","href":"/dashboards/11457/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":17151,"status":1,"statusCode":"active","orgId":528879,"orgSlug":"gabrieldevops","orgName":"gabrieldevops","slug":"postgresql-database","downloads":327,"revisionId":26348,"revision":1,"name":"PostgreSQL Database","description":"This dashboard works with postgres_exporter for 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Finally, we'll see how to enable collection using a custom query file and pmm-admin option flag.\n\nRead more  - https://www.percona.com/blog/2019/04/23/adding-postgresql-queries-overview-dashboards-to-the-pmm-plugin/","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-04-09T07:55:19.000Z","updatedAt":"2019-04-24T22:17:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/10017"},{"rel":"revisions","href":"/dashboards/10017/revisions"},{"rel":"revision","href":"/dashboards/10017/revisions/1"},{"rel":"download","href":"/dashboards/10017/revisions/1/download"},{"rel":"org","href":"/orgs/perconalab"},{"rel":"images","href":"/dashboards/10017/images"},{"rel":"thumbnails","href":"/dashboards/10017/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23693,"status":1,"statusCode":"active","orgId":1481011,"orgSlug":"wahyu8","orgName":"wahyu8","slug":"postgresql-query-analytics-custom","downloads":243,"revisionId":37704,"revision":1,"name":"PostgreSQL Query Analytics","description":"PostgreSQL Query Analytics","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-07-11T09:14:13.000Z","updatedAt":"2025-07-11T09:15:06.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23693"},{"rel":"revisions","href":"/dashboards/23693/revisions"},{"rel":"revision","href":"/dashboards/23693/revisions/1"},{"rel":"download","href":"/dashboards/23693/revisions/1/download"},{"rel":"org","href":"/orgs/wahyu8"},{"rel":"images","href":"/dashboards/23693/images"},{"rel":"thumbnails","href":"/dashboards/23693/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10018,"status":1,"statusCode":"active","orgId":94170,"orgSlug":"perconalab","orgName":"perconalab","slug":"postgresql-query-drill-down","downloads":1334,"revisionId":14010,"revision":1,"name":"PostgreSQL Query Drill-Down (Designed for PMM)","description":"PostgreSQL Query Drill-Down ","readme":"This is an additional dashboard for https://grafana.com/dashboards/10017/\n\nRead more  -  https://www.percona.com/blog/2019/04/23/adding-postgresql-queries-overview-dashboards-to-the-pmm-plugin/","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-04-09T08:00:11.000Z","updatedAt":"2019-04-24T22:17:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10018"},{"rel":"revisions","href":"/dashboards/10018/revisions"},{"rel":"revision","href":"/dashboards/10018/revisions/1"},{"rel":"download","href":"/dashboards/10018/revisions/1/download"},{"rel":"org","href":"/orgs/perconalab"},{"rel":"images","href":"/dashboards/10018/images"},{"rel":"thumbnails","href":"/dashboards/10018/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6742,"status":1,"statusCode":"active","orgId":159102,"orgSlug":"sinsengumi","orgName":"sinsengumi","slug":"postgresql-statistics","downloads":73460,"revisionId":9199,"revision":1,"name":"PostgreSQL Statistics","description":"Dashboard for PostgreSQL Statistics.","readme":"### Exporter\r\nThis dashboard uses the following exporter metrics.\r\n  - [https://github.com/wrouesnel/postgres_exporter](https://github.com/wrouesnel/postgres_exporter)\r\n\r\n### Variables\r\nThis dashboard requires the following Variables.\r\n- $instance - Instance Name\r\n- $db - Database Name","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-01T04:15:57.000Z","updatedAt":"2018-07-02T08:20:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6742"},{"rel":"revisions","href":"/dashboards/6742/revisions"},{"rel":"revision","href":"/dashboards/6742/revisions/1"},{"rel":"download","href":"/dashboards/6742/revisions/1/download"},{"rel":"org","href":"/orgs/sinsengumi"},{"rel":"images","href":"/dashboards/6742/images"},{"rel":"thumbnails","href":"/dashboards/6742/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13494,"status":1,"statusCode":"active","orgId":442284,"orgSlug":"jabbors","orgName":"jabbors","slug":"postgresql-statistics","downloads":3265,"revisionId":25732,"revision":5,"name":"PostgreSQL Statistics","description":"Dashboard for PostgreSQL Statistics.","readme":"Improvements for [https://grafana.com/grafana/dashboards/6742](https://grafana.com/grafana/dashboards/6742).\r\n\r\nDependencies:\r\n- [postgres_exporter](https://github.com/prometheus-community/postgres_exporter) version 0.11.1\r\n\r\nChanges includes:\r\n- support for scraping multiple postgres exporters from a single prometheus instance\r\n- only list databases scraped by a postgres exporter instance\r\n- graph showing database size\r\n ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-12-01T19:02:06.000Z","updatedAt":"2022-08-26T10:22:34.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13494"},{"rel":"revisions","href":"/dashboards/13494/revisions"},{"rel":"revision","href":"/dashboards/13494/revisions/5"},{"rel":"download","href":"/dashboards/13494/revisions/5/download"},{"rel":"org","href":"/orgs/jabbors"},{"rel":"images","href":"/dashboards/13494/images"},{"rel":"thumbnails","href":"/dashboards/13494/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10315,"status":1,"statusCode":"active","orgId":256315,"orgSlug":"jmaltes","orgName":"jmaltes","slug":"postgresql-stats","downloads":3585,"revisionId":14889,"revision":2,"name":"PostgreSQL Stats","description":"This is a custom dashboard for PG Stats ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-06-08T19:50:42.000Z","updatedAt":"2019-08-05T00:47:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":2,"links":[{"rel":"self","href":"/dashboards/10315"},{"rel":"revisions","href":"/dashboards/10315/revisions"},{"rel":"revision","href":"/dashboards/10315/revisions/2"},{"rel":"download","href":"/dashboards/10315/revisions/2/download"},{"rel":"org","href":"/orgs/jmaltes"},{"rel":"images","href":"/dashboards/10315/images"},{"rel":"thumbnails","href":"/dashboards/10315/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10016,"status":1,"statusCode":"active","orgId":94170,"orgSlug":"perconalab","orgName":"perconalab","slug":"postgresql-tuple-statistics","downloads":629,"revisionId":14008,"revision":1,"name":"PostgreSQL Tuple Statistics (Designed for PMM)","description":"The PostgreSQL Tuple Statistics Dashboard","readme":"This new dashboard is based on data collected from the pg_stat_user_tables view. However, by default, postgres_exporter doesn’t collect this information. Instead we will leverage the exporter’s ability to run custom SELECT queries from a file (queries.yaml in our example). These generate metric series in PMM that we can then visualize. Collecting tuple information using pg_stat_user_users view requires that databases be identified in queries.yaml, so we’ve written a helper script that takes multiple database names and formats the queries.yaml file accordingly.\r\n\r\nRead more - https://www.percona.com/blog/2019/04/08/adding-postgresql-tuple-statistics-dashboard-to-the-pmm-plugin/ ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-04-09T07:43:46.000Z","updatedAt":"2019-04-09T07:58:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/10016"},{"rel":"revisions","href":"/dashboards/10016/revisions"},{"rel":"revision","href":"/dashboards/10016/revisions/1"},{"rel":"download","href":"/dashboards/10016/revisions/1/download"},{"rel":"org","href":"/orgs/perconalab"},{"rel":"images","href":"/dashboards/10016/images"},{"rel":"thumbnails","href":"/dashboards/10016/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14839,"status":1,"statusCode":"active","orgId":94170,"orgSlug":"perconalab","orgName":"perconalab","slug":"postgresql-tuple-statistics-designed-for-pmm2","downloads":460,"revisionId":22088,"revision":2,"name":"PostgreSQL Tuple Statistics (Designed for PMM2)","description":"The PostgreSQL Tuple Statistics Dashboard","readme":"This dashboard gives an overview of tuple statistics, table operations, vacuum stats, and database XID age information. Information is obtained by two queries: one over pg_stat_user_tables catalog and the other over pg_database catalog. \n\nThese custom queries can be found in https://raw.githubusercontent.com/Percona-Lab/pmm-custom-queries/master/postgresql/pg_tuple_statistics.yaml and should be placed in the /usr/local/percona/pmm2/collectors/custom-queries/postgresql/low-resolution directory. \n\n--------------------\nIf you’re using a PMM version older than 2.16.0, use the instructions from the original blogpost: https://www.percona.com/blog/2019/04/08/adding-postgresql-tuple-statistics-dashboard-to-the-pmm-plugin/ \n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-06T11:27:09.000Z","updatedAt":"2021-08-06T12:18:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14839"},{"rel":"revisions","href":"/dashboards/14839/revisions"},{"rel":"revision","href":"/dashboards/14839/revisions/2"},{"rel":"download","href":"/dashboards/14839/revisions/2/download"},{"rel":"org","href":"/orgs/perconalab"},{"rel":"images","href":"/dashboards/14839/images"},{"rel":"thumbnails","href":"/dashboards/14839/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17003,"status":1,"statusCode":"active","orgId":679963,"orgSlug":"bloop16","orgName":"bloop16","slug":"stromverbrauch","downloads":374,"revisionId":26071,"revision":1,"name":"Power","description":"A way to visualize your data from your electricity meter","readme":"A Dashboard visualizing the HT and NT Values from your electricity meter. Board is getting the data from influxdb1.8. All panels are stored only with the two electricity meter values NT and HT so it's quite easy to adjust.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, InfluxDB","privacy":"public","createdAt":"2022-09-16T20:30:07.000Z","updatedAt":"2022-09-16T20:44:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17003"},{"rel":"revisions","href":"/dashboards/17003/revisions"},{"rel":"revision","href":"/dashboards/17003/revisions/1"},{"rel":"download","href":"/dashboards/17003/revisions/1/download"},{"rel":"org","href":"/orgs/bloop16"},{"rel":"images","href":"/dashboards/17003/images"},{"rel":"thumbnails","href":"/dashboards/17003/thumbnails"}],"datasourceSlugs":["__expr__","influxdb"]},{"id":14294,"status":1,"statusCode":"active","orgId":487177,"orgSlug":"zerynth","orgName":"zerynth","slug":"power-consumption-and-environmental-monitoring","downloads":345,"revisionId":21049,"revision":1,"name":"Power Consumption and Environmental Monitoring","description":"Zerynth Test Dashboard","readme":"Zerynth Test Dashboard","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2021-04-23T15:33:48.000Z","updatedAt":"2021-04-23T15:35:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14294"},{"rel":"revisions","href":"/dashboards/14294/revisions"},{"rel":"revision","href":"/dashboards/14294/revisions/1"},{"rel":"download","href":"/dashboards/14294/revisions/1/download"},{"rel":"org","href":"/orgs/zerynth"},{"rel":"images","href":"/dashboards/14294/images"},{"rel":"thumbnails","href":"/dashboards/14294/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":20821,"status":1,"statusCode":"active","orgId":1088926,"orgSlug":"crystalnet","orgName":"crystalnet","slug":"power-monitoring","downloads":346,"revisionId":32229,"revision":1,"name":"Power Monitoring","description":"Home Power Meter Monitoring Dashboard","readme":"use vzlogger from https://github.com/volkszaehler/vzlogger on a raspberry pi hooked up to an IR comms head ( https://de.elv.com/elv-bausatz-lesekopf-mit-usb-schnittstelle-fuer-digitale-zaehler-usb-iec-155523?fs=3191120167 ) to push information to influxdb, example config for vzlogger (replace influx_auth_token and influx.example.org with your own values, and make sure the pullseq and device are correct for your meter:\r\n```\r\n{\r\n  \"retry\": 0,\r\n  \"verbosity\": 0,\r\n  \"log\": \"/var/log/vzlogger.log\",\r\n  \"local\": {\r\n    \"enabled\": true,\r\n    \"port\": 8080,\r\n    \"index\": true,\r\n    \"timeout\": 0,\r\n    \"buffer\": -1\r\n  },\r\n  \"meters\": [\r\n    {\r\n      \"enabled\": true,\r\n      \"allowskip\": false,\r\n      \"interval\": 0,\r\n      \"aggtime\": -1,\r\n      \"aggfixedinterval\": false,\r\n      \"channels\": [\r\n        {\r\n          \"api\": \"influxdb\",\r\n          \"host\": \"https://influx.example.org\",\r\n          \"database\": \"crystalnet\",\r\n          \"measurement_name\": \"homeautomation\",\r\n          \"tags\": \"tarif=ht,type=kwh\",\r\n          \"token\": \"influx_auth_token\",\r\n          \"organization\": \"crystalnet\",\r\n          \"send_uuid\": false,\r\n          \"uuid\": \"6836dd20-00d5-11e0-bab1-856ed5f959ae\",\r\n          \"identifier\": \"1.8.1\",\r\n          \"aggmode\": \"none\",\r\n          \"duplicates\": 0\r\n        },\r\n        {\r\n          \"api\": \"influxdb\",\r\n          \"host\": \"https://influx.example.org\",\r\n          \"database\": \"crystalnet\",\r\n          \"measurement_name\": \"homeautomation\",\r\n          \"tags\": \"tarif=nt,type=kwh\",\r\n          \"token\": \"influx_auth_token\",\r\n          \"organization\": \"crystalnet\",\r\n          \"send_uuid\": false,\r\n          \"uuid\": \"86b68b8e-5130-4a82-893a-6c1bcea62075\",\r\n          \"identifier\": \"1.8.2\",\r\n          \"aggmode\": \"none\",\r\n          \"duplicates\": 0\r\n        },\r\n        {\r\n          \"api\": \"influxdb\",\r\n          \"host\": \"https://influx.example.org\",\r\n          \"database\": \"crystalnet\",\r\n          \"measurement_name\": \"homeautomation\",\r\n          \"tags\": \"type=kw\",\r\n          \"token\": \"influx_auth_token\",\r\n          \"organization\": \"crystalnet\",\r\n          \"send_uuid\": false,\r\n          \"uuid\": \"760ca2e2-c404-4632-bb03-93b3bcb6a1f8\",\r\n          \"identifier\": \"16.7.255\",\r\n          \"aggmode\": \"none\",\r\n          \"duplicates\": 0\r\n        },\r\n        {\r\n          \"api\": \"influxdb\",\r\n          \"host\": \"https://influx.example.org\",\r\n          \"database\": \"crystalnet\",\r\n          \"measurement_name\": \"homeautomation\",\r\n          \"tags\": \"type=voltage,phase=1\",\r\n          \"token\": \"influx_auth_token\",\r\n          \"organization\": \"crystalnet\",\r\n          \"send_uuid\": false,\r\n          \"uuid\": \"db341f7c-0527-4f99-96ef-5769cc0155d4\",\r\n          \"identifier\": \"32.7.255\",\r\n          \"aggmode\": \"none\",\r\n          \"duplicates\": 0\r\n        },\r\n        {\r\n          \"api\": \"influxdb\",\r\n          \"host\": \"https://influx.example.org\",\r\n          \"database\": \"crystalnet\",\r\n          \"measurement_name\": \"homeautomation\",\r\n          \"tags\": \"type=voltage,phase=2\",\r\n          \"token\": \"influx_auth_token\",\r\n          \"organization\": \"crystalnet\",\r\n          \"send_uuid\": false,\r\n          \"uuid\": \"ce887db5-5e7a-4616-8c63-fcdf68b6ee07\",\r\n          \"identifier\": \"52.7.255\",\r\n          \"aggmode\": \"none\",\r\n          \"duplicates\": 0\r\n        },\r\n        {\r\n          \"api\": \"influxdb\",\r\n          \"host\": \"https://influx.example.org\",\r\n          \"database\": \"crystalnet\",\r\n          \"measurement_name\": \"homeautomation\",\r\n          \"tags\": \"type=voltage,phase=3\",\r\n          \"token\": \"influx_auth_token\",\r\n          \"organization\": \"crystalnet\",\r\n          \"send_uuid\": false,\r\n          \"uuid\": \"299ad778-eb58-47b2-9637-451c6c812d0c\",\r\n          \"identifier\": \"72.7.255\",\r\n          \"aggmode\": \"none\",\r\n          \"duplicates\": 0\r\n        },\r\n        {\r\n          \"api\": \"influxdb\",\r\n          \"host\": \"https://influx.example.org\",\r\n          \"database\": \"crystalnet\",\r\n          \"measurement_name\": \"homeautomation\",\r\n          \"tags\": \"type=ampere,phase=1\",\r\n          \"token\": \"influx_auth_token\",\r\n          \"organization\": \"crystalnet\",\r\n          \"send_uuid\": false,\r\n          \"uuid\": \"80d8d08e-1dba-44bb-9de7-f1c2cb39784f\",\r\n          \"identifier\": \"31.7.255\",\r\n          \"aggmode\": \"none\",\r\n          \"duplicates\": 0\r\n        },\r\n        {\r\n          \"api\": \"influxdb\",\r\n          \"host\": \"https://influx.example.org\",\r\n          \"database\": \"crystalnet\",\r\n          \"measurement_name\": \"homeautomation\",\r\n          \"tags\": \"type=ampere,phase=2\",\r\n          \"token\": \"influx_auth_token\",\r\n          \"organization\": \"crystalnet\",\r\n          \"send_uuid\": false,\r\n          \"uuid\": \"1131b5bd-db94-43db-a7e7-223b51479344\",\r\n          \"identifier\": \"51.7.255\",\r\n          \"aggmode\": \"none\",\r\n          \"duplicates\": 0\r\n        },\r\n        {\r\n          \"api\": \"influxdb\",\r\n          \"host\": \"https://influx.example.org\",\r\n          \"database\": \"crystalnet\",\r\n          \"measurement_name\": \"homeautomation\",\r\n          \"tags\": \"type=ampere,phase=3\",\r\n          \"token\": \"influx_auth_token\",\r\n          \"organization\": \"crystalnet\",\r\n          \"send_uuid\": false,\r\n          \"uuid\": \"d4ba4795-2951-4d7f-a2de-94337d8a8a6e\",\r\n          \"identifier\": \"71.7.255\",\r\n          \"aggmode\": \"none\",\r\n          \"duplicates\": 0\r\n        }\r\n      ],\r\n      \"protocol\": \"d0\",\r\n      \"device\": \"/dev/ttyUSB0\",\r\n      \"pullseq\": \"2F3F210D0A\",\r\n      \"ackseq\": \"auto\",\r\n      \"baudrate\": 300,\r\n      \"parity\": \"7E1\"\r\n    }\r\n  ]\r\n}\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-04-01T12:43:21.000Z","updatedAt":"2024-04-01T12:57:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20821"},{"rel":"revisions","href":"/dashboards/20821/revisions"},{"rel":"revision","href":"/dashboards/20821/revisions/1"},{"rel":"download","href":"/dashboards/20821/revisions/1/download"},{"rel":"org","href":"/orgs/crystalnet"},{"rel":"images","href":"/dashboards/20821/images"},{"rel":"thumbnails","href":"/dashboards/20821/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22718,"status":1,"statusCode":"active","orgId":782648,"orgSlug":"arete","orgName":"arete","slug":"power-monitoring","downloads":278,"revisionId":35829,"revision":1,"name":"Power monitoring","description":"Smartplug power monitoring","readme":"## Power monitoring\r\n\r\nMonitor power, voltage, current and estimated power cost from smartplug metrics.\r\n\r\n### Data\r\n\r\nThe data for this dashboard is obtained via a [Shelly Plus 1PM](https://www.shelly.com/products/shelly-plus-1pm) smart plug, using a simple Python\r\nscript [hosted here](https://github.com/shikharbhardwaj/infra/blob/main/spike/shelly-plug-monitor/src/py/main.py).\r\n\r\n\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-01-18T13:46:19.000Z","updatedAt":"2025-01-19T19:45:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22718"},{"rel":"revisions","href":"/dashboards/22718/revisions"},{"rel":"revision","href":"/dashboards/22718/revisions/1"},{"rel":"download","href":"/dashboards/22718/revisions/1/download"},{"rel":"org","href":"/orgs/arete"},{"rel":"images","href":"/dashboards/22718/images"},{"rel":"thumbnails","href":"/dashboards/22718/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21106,"status":1,"statusCode":"active","orgId":1017236,"orgSlug":"soilahg","orgName":"soilah","slug":"power-panel","downloads":275,"revisionId":32830,"revision":1,"name":"Power Panel","description":"Power panel metrics from the shelly em module.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-05-20T23:23:10.000Z","updatedAt":"2024-09-08T20:24:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21106"},{"rel":"revisions","href":"/dashboards/21106/revisions"},{"rel":"revision","href":"/dashboards/21106/revisions/1"},{"rel":"download","href":"/dashboards/21106/revisions/1/download"},{"rel":"org","href":"/orgs/soilahg"},{"rel":"images","href":"/dashboards/21106/images"},{"rel":"thumbnails","href":"/dashboards/21106/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22884,"status":1,"statusCode":"active","orgId":1354544,"orgSlug":"woodyb4u","orgName":"woodyb4u","slug":"power-panel","downloads":247,"revisionId":36157,"revision":1,"name":"Power Panel","description":"Power panel metrics from the 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[technicityworks/prometheus-prefect-exporter](https://github.com/technicityworks/helm-charts/tree/main/charts/prometheus-prefect-exporter)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2022-05-02T10:58:29.000Z","updatedAt":"2022-11-28T13:53:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16198"},{"rel":"revisions","href":"/dashboards/16198/revisions"},{"rel":"revision","href":"/dashboards/16198/revisions/5"},{"rel":"download","href":"/dashboards/16198/revisions/5/download"},{"rel":"org","href":"/orgs/technicityworks"},{"rel":"images","href":"/dashboards/16198/images"},{"rel":"thumbnails","href":"/dashboards/16198/thumbnails"}]},{"id":12949,"status":1,"statusCode":"active","orgId":414735,"orgSlug":"grafana6b6b","orgName":"nagisa","slug":"pressure-stall-information","downloads":440,"revisionId":18736,"revision":1,"name":"Pressure Stall Information","description":"Simple dashboard for displaying Pressure Stall Information for all the instances in a single dashboard.","readme":"Make sure `--collector.pressure` is enabled.\r\n\r\nMake sure the Prometheus data source in grafana has `Scrape interval` set to the double of greatest scrape interval! This will no longer be necessary once https://github.com/grafana/grafana/issues/21417 is released.","collectorType":"nodeExporter","collectorConfig":"--collector.pressure","collectorPluginList":"Other","datasource":"Prometheus","privacy":"public","createdAt":"2020-09-05T16:39:15.000Z","updatedAt":"2020-09-05T16:47:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12949"},{"rel":"revisions","href":"/dashboards/12949/revisions"},{"rel":"revision","href":"/dashboards/12949/revisions/1"},{"rel":"download","href":"/dashboards/12949/revisions/1/download"},{"rel":"org","href":"/orgs/grafana6b6b"},{"rel":"images","href":"/dashboards/12949/images"},{"rel":"thumbnails","href":"/dashboards/12949/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24814,"status":1,"statusCode":"active","orgId":891964,"orgSlug":"callcorp","orgName":"CallCorp","slug":"pressure-stall-information-psi","downloads":20,"revisionId":39805,"revision":1,"name":"Pressure Stall Information (PSI)","description":"PSI provides for the first time a canonical way to see resource pressure increases as they develop, with new pressure metrics for three major resources—memory, CPU, and IO.\r\n\r\nThese pressure metrics, in conjunction with cgroup2 and other kernel and userspace tools described below, allow you to detect resource shortages while they’re developing, and respond intelligently—by pausing or killing non-essentials, reallocating memory in the system, load shedding, or other actions.\r\n\r\nPSI stats are like barometers that provide fair warning of impending resource shortages, enabling you to take more proactive, granular, and nuanced steps when resources start becoming scarce.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-02-06T16:55:03.000Z","updatedAt":"2026-05-06T09:07:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24814"},{"rel":"revisions","href":"/dashboards/24814/revisions"},{"rel":"revision","href":"/dashboards/24814/revisions/1"},{"rel":"download","href":"/dashboards/24814/revisions/1/download"},{"rel":"org","href":"/orgs/callcorp"},{"rel":"images","href":"/dashboards/24814/images"},{"rel":"thumbnails","href":"/dashboards/24814/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10866,"status":1,"statusCode":"active","orgId":289226,"orgSlug":"archongum","orgName":"Archon Gum","slug":"presto-exporter","downloads":885,"revisionId":15188,"revision":1,"name":"Presto Exporter","description":"for: https://github.com/yahoojapan/presto_exporter","readme":"for: https://github.com/yahoojapan/presto_exporter\n\n\nread more: https://stackoverflow.com/questions/55245131/how-to-connect-prometheus-with-presto-jmx/57951358#57951358","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-09-16T07:15:00.000Z","updatedAt":"2020-06-19T08:59:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10866"},{"rel":"revisions","href":"/dashboards/10866/revisions"},{"rel":"revision","href":"/dashboards/10866/revisions/1"},{"rel":"download","href":"/dashboards/10866/revisions/1/download"},{"rel":"org","href":"/orgs/archongum"},{"rel":"images","href":"/dashboards/10866/images"},{"rel":"thumbnails","href":"/dashboards/10866/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11413,"status":1,"statusCode":"active","orgId":289226,"orgSlug":"archongum","orgName":"Archon Gum","slug":"presto-query-log","downloads":621,"revisionId":16020,"revision":1,"name":"Presto Query Log","description":"See README","readme":"Note: Self-use purpose.\n\nPresto logging exporter: https://github.com/archongum/presto-querylog\n\nCollector: Logstash. logstash configuration and ES index template is in the `ArNote/logstash` folder.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2019-12-16T03:02:33.000Z","updatedAt":"2020-06-24T03:10:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":3.5,"links":[{"rel":"self","href":"/dashboards/11413"},{"rel":"revisions","href":"/dashboards/11413/revisions"},{"rel":"revision","href":"/dashboards/11413/revisions/1"},{"rel":"download","href":"/dashboards/11413/revisions/1/download"},{"rel":"org","href":"/orgs/archongum"},{"rel":"images","href":"/dashboards/11413/images"},{"rel":"thumbnails","href":"/dashboards/11413/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":23076,"status":1,"statusCode":"active","orgId":516394,"orgSlug":"henriy","orgName":"henriy","slug":"pringboot-service-monitors","downloads":272,"revisionId":36438,"revision":1,"name":"pringBoot service monitors ","description":"pringBoot service monitors screen","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-03-13T06:56:10.000Z","updatedAt":"2025-03-13T07:00:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23076"},{"rel":"revisions","href":"/dashboards/23076/revisions"},{"rel":"revision","href":"/dashboards/23076/revisions/1"},{"rel":"download","href":"/dashboards/23076/revisions/1/download"},{"rel":"org","href":"/orgs/henriy"},{"rel":"images","href":"/dashboards/23076/images"},{"rel":"thumbnails","href":"/dashboards/23076/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8369,"status":1,"statusCode":"active","orgId":195725,"orgSlug":"rudlafik","orgName":"Rudolf Koždoň","slug":"printer-xerox-7220","downloads":1069,"revisionId":11504,"revision":1,"name":"Printer Xerox 7220","description":"This is updated older version printer dashboard. For color A3 multifunction XEROX 7220 priner. ","readme":"This dashboard is compatible with Zabbix template \"Printer Xerox 7220-1539606250642.xml\"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2018-10-15T13:39:14.000Z","updatedAt":"2018-10-15T13:47:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8369"},{"rel":"revisions","href":"/dashboards/8369/revisions"},{"rel":"revision","href":"/dashboards/8369/revisions/1"},{"rel":"download","href":"/dashboards/8369/revisions/1/download"},{"rel":"org","href":"/orgs/rudlafik"},{"rel":"images","href":"/dashboards/8369/images"},{"rel":"thumbnails","href":"/dashboards/8369/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":23730,"status":1,"statusCode":"active","orgId":1484434,"orgSlug":"sanshoku","orgName":"Sanshoku","slug":"printers-basic-dashboard","downloads":360,"revisionId":37750,"revision":1,"name":"Printers - Basic Dashboard","description":"General information for any network printer","readme":"Thank you to xander1402, ID 9958, the maker of the original dashboard!\r\n\r\nRequirements:\r\n- InfluxDB 2.0\r\n- Telegraf\r\n- SNMP enabled and configured on your printers\r\n\r\nUpdates:\r\n- Updated all queries to InfluxDB v2 (Flux)\r\n- Removed the \"General\" section in favour of having all printers have their own row for information to streamline presentation\r\n- Created override values for certain models to display data on graphs properly\r\n- List by hostname instead of IP address\r\n- Show IP address within row instead\r\n- Dynamically change colour of gradiant bar graph depending on status of object being tracked\r\n- Dynamically change colour of printer cover status if door open or closed\r\n\r\nTested with the following printer models:\r\n- Brother MFC-L3770CDW\r\n- HP Laserjet 700 color MFP M775dn\r\n- HP Color LaserJet MFP M477fnw\r\n- Brother MFC-L8900CDW","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.snmp]]\r\nname = \"printers\"\r\nname_override = \"printers\"\r\ninterval = \"5m\"\r\nagents = [ \"ip1:161\", \"ip2:161\", \"ip3:161\", \"ip4:161\", \"ip5:161\", \"ip6:161\" ]\r\nagent_host_tag = \"source\"\r\nversion = 3\r\nsec_name = \"snmp_printers\"\r\nauth_protocol = \"MD5\"\r\nauth_password = \"somePassword\"\r\nsec_level = \"authPriv\"\r\ncontext_name = \"someName\"\r\npriv_protocol = \"AES\"\r\npriv_password = \"yetAnotherPassword\"\r\n\r\n[[inputs.snmp.field]]\r\nname = \"sysName\"\r\noid = \".1.3.6.1.2.1.1.5.0\"\r\nis_tag = true\r\n\r\n[[inputs.snmp.field]]\r\nname = \"ifPhysAddress\"\r\noid = \"1.3.6.1.2.1.2.2.1.6.1\"\r\nis_tag = true\r\nconversion = \"hwaddr\"\r\n\r\n[[inputs.snmp.field]]\r\nname = \"hrDeviceDescr\"\r\noid = \".1.3.6.1.2.1.25.3.2.1.3.1\"\r\nis_tag = true\r\n\r\n[[inputs.snmp.field]]\r\nname = \"prtGeneralSerialNumber\"\r\noid = \".1.3.6.1.2.1.43.5.1.1.17.1\"\r\nis_tag = true\r\n\r\n[[inputs.snmp.field]]\r\nname = \"sysUpTime\"\r\noid = \".1.3.6.1.2.1.1.3.0\"\r\n\r\n[[inputs.snmp.field]]\r\nname = \"sysIP\"\r\noid = \".1.3.6.1.4.1.11.2.4.3.5.2.0\"\r\nis_tag = true\r\n\r\n[[inputs.snmp.field]]\r\nname = \"prtMarkerLifeCount\"\r\noid = \".1.3.6.1.2.1.43.10.2.1.4.1.1\"\r\n\r\n[[inputs.snmp.table]]\r\nname = \"printers\"\r\ninherit_tags = [ \"sysName\" ]\r\n[[inputs.snmp.table.field]]\r\nname = \"prtCoverDescription\"\r\noid = \".1.3.6.1.2.1.43.6.1.1.2.1\"\r\nis_tag = true\r\n\r\n[[inputs.snmp.table.field]]\r\nname = \"prtCoverStatus\"\r\noid = \".1.3.6.1.2.1.43.6.1.1.3.1\"\r\n\r\n[[inputs.snmp.table]]\r\nname = \"printers\"\r\ninherit_tags = [ \"sysName\" ]\r\n\r\n[[inputs.snmp.table.field]]\r\nname = \"prtMarkerSuppliesDescription\"\r\noid = \".1.3.6.1.2.1.43.11.1.1.6.1\"\r\n\r\nis_tag = true\r\n[[inputs.snmp.table.field]]\r\nname = \"prtMarkerSuppliesLevel\"\r\noid = \".1.3.6.1.2.1.43.11.1.1.9.1\"\r\n\r\n[[inputs.snmp.table.field]]\r\nname = \"prtMarkerSuppliesMaxCapacity\"\r\noid = \".1.3.6.1.2.1.43.11.1.1.8.1\"\r\n```","collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2025-07-15T22:17:19.000Z","updatedAt":"2025-07-18T04:38:06.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23730"},{"rel":"revisions","href":"/dashboards/23730/revisions"},{"rel":"revision","href":"/dashboards/23730/revisions/1"},{"rel":"download","href":"/dashboards/23730/revisions/1/download"},{"rel":"org","href":"/orgs/sanshoku"},{"rel":"images","href":"/dashboards/23730/images"},{"rel":"thumbnails","href":"/dashboards/23730/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23731,"status":1,"statusCode":"active","orgId":1484434,"orgSlug":"sanshoku","orgName":"Sanshoku","slug":"printers-advanced-dashboard","downloads":217,"revisionId":37751,"revision":1,"name":"Printers - Single View Dashboard","description":"Individual view for network printers","readme":"Thank you to xander1402, ID 9958, the maker of the original dashboard!\r\n\r\nRequirements:\r\n- InfluxDB 2.0\r\n- Telegraf\r\n- SNMP enabled and configured on your printers\r\n\r\nUpdates:\r\n- Updated all queries to InfluxDB v2 (Flux)\r\n- Overhauled dashboard to focus on viewing one printer at a time\r\n- Created override values for certain models to display data on graphs properly\r\n- List by hostname instead of IP address\r\n- Show IP address within row instead\r\n- Dynamically change colour of gradiant bar graph depending on status of object being tracked\r\n- Dynamically change colour of printer cover status if door open or closed\r\n\r\nTested with the following printer models:\r\n- Brother MFC-L3770CDW\r\n- HP Laserjet 700 color MFP M775dn\r\n- HP Color LaserJet MFP M477fnw\r\n- Brother MFC-L8900CDW","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.snmp]]\r\nname = \"printers\"\r\nname_override = \"printers\"\r\ninterval = \"5m\"\r\nagents = [ \"ip1:161\", \"ip2:161\", \"ip3:161\", \"ip4:161\", \"ip5:161\", \"ip6:161\" ]\r\nagent_host_tag = \"source\"\r\nversion = 3\r\nsec_name = \"snmp_printers\"\r\nauth_protocol = \"MD5\"\r\nauth_password = \"somePassword\"\r\nsec_level = \"authPriv\"\r\ncontext_name = \"someName\"\r\npriv_protocol = \"AES\"\r\npriv_password = \"yetAnotherPassword\"\r\n\r\n[[inputs.snmp.field]]\r\nname = \"sysName\"\r\noid = \".1.3.6.1.2.1.1.5.0\"\r\nis_tag = true\r\n\r\n[[inputs.snmp.field]]\r\nname = \"ifPhysAddress\"\r\noid = \"1.3.6.1.2.1.2.2.1.6.1\"\r\nis_tag = true\r\nconversion = \"hwaddr\"\r\n\r\n[[inputs.snmp.field]]\r\nname = \"hrDeviceDescr\"\r\noid = \".1.3.6.1.2.1.25.3.2.1.3.1\"\r\nis_tag = true\r\n\r\n[[inputs.snmp.field]]\r\nname = \"prtGeneralSerialNumber\"\r\noid = \".1.3.6.1.2.1.43.5.1.1.17.1\"\r\nis_tag = true\r\n\r\n[[inputs.snmp.field]]\r\nname = \"sysUpTime\"\r\noid = \".1.3.6.1.2.1.1.3.0\"\r\n\r\n[[inputs.snmp.field]]\r\nname = \"sysIP\"\r\noid = \".1.3.6.1.4.1.11.2.4.3.5.2.0\"\r\nis_tag = true\r\n\r\n[[inputs.snmp.field]]\r\nname = \"prtMarkerLifeCount\"\r\noid = \".1.3.6.1.2.1.43.10.2.1.4.1.1\"\r\n\r\n[[inputs.snmp.table]]\r\nname = \"printers\"\r\ninherit_tags = [ \"sysName\" ]\r\n[[inputs.snmp.table.field]]\r\nname = \"prtCoverDescription\"\r\noid = \".1.3.6.1.2.1.43.6.1.1.2.1\"\r\nis_tag = true\r\n\r\n[[inputs.snmp.table.field]]\r\nname = \"prtCoverStatus\"\r\noid = \".1.3.6.1.2.1.43.6.1.1.3.1\"\r\n\r\n[[inputs.snmp.table]]\r\nname = \"printers\"\r\ninherit_tags = [ \"sysName\" ]\r\n\r\n[[inputs.snmp.table.field]]\r\nname = \"prtMarkerSuppliesDescription\"\r\noid = \".1.3.6.1.2.1.43.11.1.1.6.1\"\r\n\r\nis_tag = true\r\n[[inputs.snmp.table.field]]\r\nname = \"prtMarkerSuppliesLevel\"\r\noid = \".1.3.6.1.2.1.43.11.1.1.9.1\"\r\n\r\n[[inputs.snmp.table.field]]\r\nname = \"prtMarkerSuppliesMaxCapacity\"\r\noid = \".1.3.6.1.2.1.43.11.1.1.8.1\"\r\n```","collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2025-07-15T23:02:47.000Z","updatedAt":"2025-07-18T04:40:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23731"},{"rel":"revisions","href":"/dashboards/23731/revisions"},{"rel":"revision","href":"/dashboards/23731/revisions/1"},{"rel":"download","href":"/dashboards/23731/revisions/1/download"},{"rel":"org","href":"/orgs/sanshoku"},{"rel":"images","href":"/dashboards/23731/images"},{"rel":"thumbnails","href":"/dashboards/23731/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22719,"status":1,"statusCode":"active","orgId":1328078,"orgSlug":"yyovkov","orgName":"yyovkov","slug":"printers-dashboard","downloads":347,"revisionId":35835,"revision":1,"name":"Printers Dashboard","description":"Show level of printers supply","readme":"Requires prometheus snmp exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-01-19T15:39:41.000Z","updatedAt":"2025-01-19T15:40:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22719"},{"rel":"revisions","href":"/dashboards/22719/revisions"},{"rel":"revision","href":"/dashboards/22719/revisions/1"},{"rel":"download","href":"/dashboards/22719/revisions/1/download"},{"rel":"org","href":"/orgs/yyovkov"},{"rel":"images","href":"/dashboards/22719/images"},{"rel":"thumbnails","href":"/dashboards/22719/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9958,"status":1,"statusCode":"active","orgId":231237,"orgSlug":"xander1402","orgName":"xander1402","slug":"printers-overview","downloads":1944,"revisionId":13959,"revision":3,"name":"Printers Overview","description":"General information for any network printer","readme":"","collectorType":"Telegraf","collectorConfig":"[[inputs.snmp]]\n\ninterval = \"5m\"\n\nagents = [ \"ip:161\" ]\n\nversion = 3\n\nsec_name = \"username\"\n\nauth_protocol = \"SHA\"\n\nauth_password = \"password\"\n\nsec_level = \"authPriv\"\n\ncontext_name = \"\"\n\npriv_protocol = \"AES\"\n\npriv_password = \"password\"\n\n#community = \"public\"\n\nname = \"printer\"\n\n[[inputs.snmp.field]]\n\nname = \"sysName\"\n\noid = \".1.3.6.1.2.1.1.5.0\"\n\nis_tag = true\n\n[[inputs.snmp.field]]\n\nname = \"ifPhysAddress\"\n\noid = \"1.3.6.1.2.1.2.2.1.6.1\"\n\nis_tag = true\n\nconversion = \"hwaddr\"\n\n[[inputs.snmp.field]]\n\nname = \"hrDeviceDescr\"\n\noid = \".1.3.6.1.2.1.25.3.2.1.3.1\"\n\nis_tag = true\n\n[[inputs.snmp.field]]\n\nname = \"prtGeneralSerialNumber\"\n\noid = \".1.3.6.1.2.1.43.5.1.1.17.1\"\n\nis_tag = true\n\n[[inputs.snmp.field]]\n\nname = \"sysUpTime\"\n\noid = \".1.3.6.1.2.1.1.3.0\"\n\n[[inputs.snmp.field]]\n\nname = \"prtMarkerLifeCount\"\n\noid = \".1.3.6.1.2.1.43.10.2.1.4.1.1\"\n\n[[inputs.snmp.table]]\n\nname = \"printer\"\n\ninherit_tags = [ \"sysName\" ]\n\n[[inputs.snmp.table.field]]\n\nname = \"prtCoverDescription\"\n\noid = \".1.3.6.1.2.1.43.6.1.1.2.1\"\n\nis_tag = true\n\n[[inputs.snmp.table.field]]\n\nname = \"prtCoverStatus\"\n\noid = \".1.3.6.1.2.1.43.6.1.1.3.1\"\n\n[[inputs.snmp.table]]\n\nname = \"printer\"\n\ninherit_tags = [ \"sysName\" ]\n\n[[inputs.snmp.table.field]]\n\nname = \"prtMarkerSuppliesDescription\"\n\noid = \".1.3.6.1.2.1.43.11.1.1.6.1\"\n\nis_tag = true\n\n[[inputs.snmp.table.field]]\n\nname = \"prtMarkerSuppliesLevel\"\n\noid = \".1.3.6.1.2.1.43.11.1.1.9.1\"\n\n[[inputs.snmp.table.field]]\n\nname = \"prtMarkerSuppliesMaxCapacity\"\n\noid = \".1.3.6.1.2.1.43.11.1.1.8.1\"","collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2019-03-22T14:33:00.000Z","updatedAt":"2019-04-01T19:47:26.000Z","isEditor":false,"hasLogo":false,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/9958"},{"rel":"revisions","href":"/dashboards/9958/revisions"},{"rel":"revision","href":"/dashboards/9958/revisions/3"},{"rel":"download","href":"/dashboards/9958/revisions/3/download"},{"rel":"org","href":"/orgs/xander1402"},{"rel":"images","href":"/dashboards/9958/images"},{"rel":"thumbnails","href":"/dashboards/9958/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21744,"status":1,"statusCode":"active","orgId":1201599,"orgSlug":"noslenbrother","orgName":"noslenbrother","slug":"printers-overview","downloads":263,"revisionId":34028,"revision":1,"name":"Printers Overview Noslen","description":"General information for any network 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Internal Only\r\nMinimum Permission:\r\nMachines: Admin\r\nModels: Admin\r\nLocation: History","readme":"# How to Setup the Grafana Telematics Analyzer\r\n\r\n## Fresh Setup\r\n- [Create a Grafana account](#create-a-grafana-account)\r\n- [Install necessary plugins](#install-necessary-plugins)\r\n- [Add new data source](#add-new-data-source)\r\n- [Import the Dashboard](#import-the-dashboard)\r\n- [How to find your Dashboard later](#how-to-find-your-dashboard-later)\r\n\r\n## If you migrate from the Proemion CLF Analyzer Dashboard\r\n- [Adjust data source](#adjust-data-source)\r\n- [Import the new Dashboard](#import-the-new-dashboard)\r\n- [How to find the Dashboard later](#how-to-find-the-dashboard-later)\r\n\r\n# Fresh Setup\r\n## Create a Grafana account\r\n- Open [Grafana](https://grafana.com/)\r\n- Create an account with your e-mail \r\n- *Launch* Grafana by clicking on the blue button circled in red showed below. \r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19482/image)\r\n\r\n## Install necessary plugins\r\n### Install the Infinity plugin\r\n- Go to Connections and click on *Add new connection*\r\n- Search for *Infinity* and install it <br>\r\n\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19484/image)\r\n- Click on *Install Plugin* via [Grafana.com link](https://grafana.com/grafana/plugins/yesoreyeram-infinity-datasource/?tab=installation) <br>\r\n*Note: If this does not appear, make sure you are logged in to Grafana, and refresh the page until your cloud instance appears* <br>\r\n\r\n![Alt Text](https://grafana.com/api/dashboards/24060/images/19483/image)\r\n\r\n- Once installed, it can take a few minutes to update on your Grafana Cloud Instance\r\n\r\n### Install the Dynamic Text plugin\r\n\r\n- Analogue to the previous steps for installing Infinity, install the [Business Text plugin](https://grafana.com/grafana/plugins/marcusolsson-dynamictext-panel/?tab=installation).\r\n\r\n\r\n## Add new data source\r\n- Go to *Data sources*\r\n- Click on *Add new data source*\r\n\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19492/image)\r\n\r\n- Search for *Infinity* \r\n- Click on the result *Infinity*\r\n\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19485/image)\r\n\r\n- Choose a name for the Data Source. <br> \r\n*You should configure one data source per organization unit. <br>\r\nThe name will help you later to identify which organization are you querying.*\r\n\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19491/image) <br>\r\n\r\n- Setup Authentication\r\n    1. Chose *Authentication*\r\n    2. Choose *OAuth2*\r\n    3. Enter your *Client ID* and *Client Secret* <br>\r\n    *Note: it is highly recommended for security reasons to reset the Client Secret after every Usage of the Dashboards!*\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19487/image)\r\n    4. Enter the *Token URL*: https://dataportal.proemion.com/api/v25.7.0/auth/token <br>*Note: Adjust the api version defined in /v25.7.0/ according to the newest api version we provide. You can check that by visiting https://status.proemion.com/ and clicking on SUBSCRIBE TO UPDATES - You will be notified when a new api version is provided. This goes for every URL that contains the api version.*\r\n    5. Enter the allowed host: https://dataportal.proemion.com\r\n\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19494/image)\r\n\r\n- *Note:* In order to check the api version used in your dashboard, you can have a look at the .json file of the dashboard. <br>\r\n\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19495/image)\r\n\r\n- Setup Base URL\r\n    1. Navigate to URL, Headers & Params\r\n    2. Enter for Base URL: https://dataportal.proemion.com/\r\n\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19493/image)\r\n\r\n- Setup Health Check\r\n    1. Navigate to *Health Check*\r\n    2. Enable custom health check\r\n    3. Enter *Health check URL*: https://dataportal.proemion.com/api/v25.7.0/me <br>\r\n    *Make sure that the api version is the same that was entered in the Token URL for authentication.* <br>\r\n\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19490/image)\r\n\r\n- Setup Reference Data\r\n    1. Navigate to *Reference data*\r\n    2. Enter as Name **URL**\r\n    3. Enter below https://dataportal.proemion.com/ as URL\r\n\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19488/image)\r\n\r\n- Save and Test\r\n    1. Now press *Save and test*\r\n    2. if everything was setup correctly, then the Health Check should be successfull.\r\n\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19489/image)\r\n\r\n## Import the Dashboard\r\n- Visit https://grafana.com/grafana/dashboards/24060-proemion-telematics-analyzer/ in a new tab\r\n- Click *Copy ID to clipboard* in order to copy the dashboard id\r\n- Go back to Grafana and navigate to *Dashboards*\r\n- Click on *New* to open the dropwown and then click on *Import*\r\n\r\n   ![Alt Text](https://grafana.com/api/dashboards/24060/images/19499/image)\r\n\r\n- Paste the previously copied Dashboard id\r\n- Press *Load*\r\n\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19498/image)\r\n\r\n- Make sure to name it accordingly and to select the datasource you created before. <br> You can also check if this dashboard contains the right api version.\r\n- Click on *Import*\r\n- The Dashboard loads then automatically\r\n\r\n## How to find your Dashboard later\r\n- Navigate to *Dashboards*\r\n- Select the dashboard you imported\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19480/image)\r\n\r\n- Now you can inspect the data!\r\n\r\n\r\n# If you migrate from the Proemion CLF Analyzer Dashboard\r\n\r\n## Adjust data source\r\n- Go to *Data sources*\r\n- Click on your chosen Datasource\r\n- Setup Authentication\r\n    1. Enter the *Token URL*: https://dataportal.proemion.com/api/v25.7.0/auth/token <br>*Note: Adjust the api version defined in /v25.7.0/ according to the api version you want. In our API Versioning you can always lookup the latest version.*\r\n    <br>\r\n\r\n- Setup Base URL\r\n    1. Navigate to URL, Headers & Params\r\n    2. Enter for Base URL: https://dataportal.proemion.com/\r\n\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19493/image)\r\n\r\n- Setup Health Check\r\n    1. Navigate to *Health Check*\r\n    2. Enable custom health check\r\n    3. Enter *Health check URL*: https://dataportal.proemion.com/api/v25.7.0/me <br>\r\n    *Make sure that the api version is the same that was entered in the Token URL for authentication.* <br>\r\n\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19490/image)\r\n\r\n- Setup Reference Data\r\n    1. Navigate to *Reference data*\r\n    2. Enter as Name **URL**\r\n    3. Enter below https://dataportal.proemion.com/ as URL\r\n\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19488/image)\r\n\r\n- Save and Test\r\n    1. Now press *Save and test*\r\n    2. if everything was setup correctly, then the Health Check should be successfull.\r\n\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19489/image)\r\n\r\n## Import the Dashboard\r\n- Visit https://grafana.com/grafana/dashboards/24060-proemion-telematics-analyzer/ in a new tab\r\n- Click *Copy ID to clipboard* in order to copy the dashboard id\r\n- Go back to Grafana and navigate to *Dashboards*\r\n- Click on *New* to open the dropdown and then click on *Import*\r\n\r\n   ![Alt Text](https://grafana.com/api/dashboards/24060/images/19499/image)\r\n\r\n- Paste the previously copied Dashboard id\r\n- Press *Load*\r\n\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19498/image)\r\n\r\n- Make sure to name it accordingly and to select the datasource you created before. <br> You can also check if this dashboard contains the right api version.\r\n- Click on *Import*\r\n- The Dashboard loads then automatically\r\n\r\n## How to find the Dashboard later\r\n- Navigate to *Dashboards*\r\n- Select the dashboard you imported\r\n    ![Alt Text](https://grafana.com/api/dashboards/24060/images/19480/image)\r\n\r\n- Now you can inspect the 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Please open issues/pull requests to [https://github.com/bergquist/dashboards](https://github.com/bergquist/dashboards)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-06-22T15:16:23.000Z","updatedAt":"2016-06-27T22:11:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/37"},{"rel":"revisions","href":"/dashboards/37/revisions"},{"rel":"revision","href":"/dashboards/37/revisions/1"},{"rel":"download","href":"/dashboards/37/revisions/1/download"},{"rel":"org","href":"/orgs/bergquistnet"},{"rel":"images","href":"/dashboards/37/images"},{"rel":"thumbnails","href":"/dashboards/37/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15235,"status":1,"statusCode":"active","orgId":527415,"orgSlug":"jmoreira","orgName":"jmoreira","slug":"prometheus-memcached","downloads":1660,"revisionId":22849,"revision":2,"name":"Prometheus memcached","description":"Prometheus dashboard for memcached servers","readme":"1. 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Data collector is Netdata. 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And it’s easy to get it out of control. Inspect your metrics with simple Prometheus queries and tune your instrumentation.\r\n\r\nSee more at [https://mkaz.me/blog/2023/simple-prometheus-queries-for-metrics-inspection/](https://mkaz.me/blog/2023/simple-prometheus-queries-for-metrics-inspection/)\r\n\r\n## Installing\r\n\r\nTo import this dashboard, enter the ID `19341` in the `Dashboards > New > Import` form. For more details, visit [Import dashboards](https://grafana.com/docs/grafana/latest/dashboards/build-dashboards/import-dashboards/?pg=dashboards&plcmt=-resources)\r\n\r\n## Dashboard Structure\r\nThe dashboard displays three key statistics and three tables (with histograms), each providing different perspectives on cardinality.\r\n\r\n### Total Jobs\r\nThis statistic shows the number of jobs (scrape targets) that produce metrics.\r\n\r\n### Total Metrics\r\nThis statistic shows the number of all metrics. 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status and it's runtime info.","readme":"# Prometheus 2.0 Grafana dashboard\r\nDashboard aiming on operating multiple Prometheus instances.\r\nIt should give you generic view of your monitoring cluster status\r\nbut also in case of any issues provide deep insight into Prometheus internal metrics.\r\n\r\nMost of the graphs are grouped into rows thematically, which are collapsed so they won't be loaded until you expand them.\r\nBear in mind that some of those could be more query intensive so better try them out on smaller time range first.\r\n\r\n**Github repository [https://github.com/FUSAKLA/Prometheus2-grafana-dashboard](https://github.com/FUSAKLA/Prometheus2-grafana-dashboard)**\r\n\r\n## Installation\r\nThere are two ways to install this dashboard\r\n\r\n   1. Copy the [`JSON` definition](https://raw.githubusercontent.com/FUSAKLA/Prometheus2-grafana-dashboard/master/dashboard/prometheus2-dashboard.json)\r\n      of dashboard and paste it in the Import dialog in Grafana\r\n   1. Load the dashboard directly form Grafana.com website using dashboard ID `3681`\r\n      or on link https://grafana.com/dashboards/3681\r\n\r\n\r\n### Provisioning\r\nIf you use [dashboard provisioning](https://grafana.com/docs/administration/provisioning/#dashboards),\r\nthere is unfortunately [an issue with loading the dashboard which uses variables](https://github.com/grafana/grafana/issues/10786).\r\nThis could cause issues such as `unexpected character inside braces: '$'`. Hopefully this will get fixed in Grafana soon.\r\nUntil then you need to modify the manifest and replace the `VAR_DATASOURCE` and `VAR_CUSTOM_LABEL_NAME` on your own.\r\nSorry for the inconvenience :/\r\n\r\n\r\n## Usage\r\n- The constant type variable `custom_label_name` allows you to identify the Prometheus instance by additional label. By default it's identified by `instance` and `job` (default value of the custom label).\r\n- Queries using `increase` or `rate` use the interval variable `Aggregation interval` as a range vector selector. Title of graph should always show the interval value.\r\n- All panels which describes latency mostly shows quantile. This is controlled by the variable `Quantile` so make use of it.\r\n- Some panels uses time interval override to longer value, this can be controlled by the `Long term interval` variable.\r\n- Beware that some collapsed rows could be query expensive on the datasource (depends on complexity of observed Prometheus config or number of those instances). Better make sure to pick only one particular\r\n    instance before expanding those rows.\r\n\r\n\r\n## Screenshots\r\n![Top of dashboard with main info](https://grafana.com/api/dashboards/3681/images/6907/image \"Top of dashboard with main info\")\r\n\r\n![Numebr of requests and latencies](https://grafana.com/api/dashboards/3681/images/6910/image \"Numebr of requests and latencies\")\r\n\r\n![Resources usage data](https://grafana.com/api/dashboards/3681/images/6911/image \"Resources usage data\")\r\n\r\n![Service discovery metrics](https://grafana.com/api/dashboards/3681/images/6909/image \"Service discovery metrics\")\r\n\r\n![Network usage data](https://grafana.com/api/dashboards/3681/images/6908/image \"Network usage data\")\r\n\r\n\r\n\r\n\r\n## Updating the dashboard\r\nThere is a script to show difference between metrics \r\nof running Prometheus instance and those used by the dashboard.\r\n\r\n1. Run the Prometheus instance for example `docker run -d -p 9090:9090 prom/prometheus:master`.\r\n1. You need `curl` and `jq`, so please make sure you have those installed. \r\n1. Run the script `./inspect_metrics.sh`.\r\n1. You should get an output with listing of differences.\r\n\r\n## Issues and contributing\r\nIf you encounter any issues with the dashboard or would like to enhance it anyhow,\r\nplease raise an issue on the github repo and I'd be happy to discuss it!\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-11-11T00:06:34.000Z","updatedAt":"2019-09-28T18:15:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/3681"},{"rel":"revisions","href":"/dashboards/3681/revisions"},{"rel":"revision","href":"/dashboards/3681/revisions/2"},{"rel":"download","href":"/dashboards/3681/revisions/2/download"},{"rel":"org","href":"/orgs/fusakla"},{"rel":"images","href":"/dashboards/3681/images"},{"rel":"thumbnails","href":"/dashboards/3681/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2485,"status":1,"statusCode":"active","orgId":67456,"orgSlug":"arman","orgName":"arman","slug":"falconmonitorreconstructued","downloads":756,"revisionId":3349,"revision":1,"name":"PrometheusServerMonitor","description":"A basic monitoring dashboard for a prometheus server","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-06-19T21:52:31.000Z","updatedAt":"2017-06-19T21:56:21.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2485"},{"rel":"revisions","href":"/dashboards/2485/revisions"},{"rel":"revision","href":"/dashboards/2485/revisions/1"},{"rel":"download","href":"/dashboards/2485/revisions/1/download"},{"rel":"org","href":"/orgs/arman"},{"rel":"images","href":"/dashboards/2485/images"},{"rel":"thumbnails","href":"/dashboards/2485/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15439,"status":1,"statusCode":"active","orgId":580406,"orgSlug":"prodstack","orgName":"groundcover","slug":"promql-onboarding-dashboard","downloads":391,"revisionId":23792,"revision":14,"name":"PromQL Onboarding Dashboard","description":"Example of Prodstack's PromQL Datasource Powers","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL, Prometheus","privacy":"public","createdAt":"2021-12-26T13:19:16.000Z","updatedAt":"2022-02-10T20:14:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15439"},{"rel":"revisions","href":"/dashboards/15439/revisions"},{"rel":"revision","href":"/dashboards/15439/revisions/14"},{"rel":"download","href":"/dashboards/15439/revisions/14/download"},{"rel":"org","href":"/orgs/prodstack"},{"rel":"images","href":"/dashboards/15439/images"},{"rel":"thumbnails","href":"/dashboards/15439/thumbnails"}],"datasourceSlugs":["postgres","prometheus"]},{"id":16241,"status":1,"statusCode":"active","orgId":643460,"orgSlug":"promscale","orgName":"promscale","slug":"promscale","downloads":358,"revisionId":24673,"revision":1,"name":"Promscale metrics","description":"Dashboard to visualize Promscale metrics","readme":"Promscale metrics dashboard to visualize the internal state of Promscale.\r\n\r\nTo visualize Promscale metrics configure the Prometheus data source pointed to the Promscale endpoint i.e. <promscale-endpoint>:9201. ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-05-08T06:36:24.000Z","updatedAt":"2022-05-08T06:53:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16241"},{"rel":"revisions","href":"/dashboards/16241/revisions"},{"rel":"revision","href":"/dashboards/16241/revisions/1"},{"rel":"download","href":"/dashboards/16241/revisions/1/download"},{"rel":"org","href":"/orgs/promscale"},{"rel":"images","href":"/dashboards/16241/images"},{"rel":"thumbnails","href":"/dashboards/16241/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15443,"status":1,"statusCode":"active","orgId":13842,"orgSlug":"kaszpir","orgName":"kaszpir","slug":"promtail","downloads":14597,"revisionId":23299,"revision":2,"name":"Promtail 2.4.x","description":"promtail 2.4.x in k8s with kube-prometheus-stack metrics","readme":"Tested under:\r\n- k8s 1.18\r\n- promtail 2.4.1\r\n- prometheus 2.24\r\n- grafana 7.5.12\r\n\r\nusing kube-prometheus-stack\r\n\r\n# Contact\r\n\r\n- [contact author](https://github.com/nvtkaszpir) if you have any suggestions etc","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-12-28T19:32:57.000Z","updatedAt":"2022-01-19T20:09:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15443"},{"rel":"revisions","href":"/dashboards/15443/revisions"},{"rel":"revision","href":"/dashboards/15443/revisions/2"},{"rel":"download","href":"/dashboards/15443/revisions/2/download"},{"rel":"org","href":"/orgs/kaszpir"},{"rel":"images","href":"/dashboards/15443/images"},{"rel":"thumbnails","href":"/dashboards/15443/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16708,"status":1,"statusCode":"active","orgId":526604,"orgSlug":"eb1027660827","orgName":"eb1027660827","slug":"promtail-2-6-x","downloads":22805,"revisionId":25596,"revision":1,"name":"Promtail 2.6.x","description":"promtail 2.6.x in k8s with kube-prometheus-stack metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-08-11T12:08:13.000Z","updatedAt":"2022-08-12T03:35:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16708"},{"rel":"revisions","href":"/dashboards/16708/revisions"},{"rel":"revision","href":"/dashboards/16708/revisions/1"},{"rel":"download","href":"/dashboards/16708/revisions/1/download"},{"rel":"org","href":"/orgs/eb1027660827"},{"rel":"images","href":"/dashboards/16708/images"},{"rel":"thumbnails","href":"/dashboards/16708/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20881,"status":1,"statusCode":"active","orgId":752960,"orgSlug":"voidquark","orgName":"voidquark","slug":"promtail-monitoring-metrics-and-logs","downloads":21239,"revisionId":32382,"revision":1,"name":"Promtail Monitoring - Metrics and Logs","description":"Monitor Promtail metrics and logs","readme":"# Promtail Metrics and Logs\r\n\r\nVisualize Promtail metrics and logs. If you have several servers with Promtail deployed, shipping logs to Loki, this dashboard will provide insights into Promtail's behavior when needed.\r\n\r\nHow to use this dashboard with explanation in blog: https://voidquark.com/blog/promtail-grafana-dashboard .\r\n\r\n## Source Code\r\n\r\nGitHub repo link: https://github.com/voidquark/grafana-dashboards\r\n\r\n## Author\r\n\r\nCreated by [VoidQuark](https://voidquark.com)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2024-04-12T18:47:45.000Z","updatedAt":"2024-04-12T19:05:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20881"},{"rel":"revisions","href":"/dashboards/20881/revisions"},{"rel":"revision","href":"/dashboards/20881/revisions/1"},{"rel":"download","href":"/dashboards/20881/revisions/1/download"},{"rel":"org","href":"/orgs/voidquark"},{"rel":"images","href":"/dashboards/20881/images"},{"rel":"thumbnails","href":"/dashboards/20881/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":22480,"status":1,"statusCode":"active","orgId":428770,"orgSlug":"openworklabbot","orgName":"openworklabbot","slug":"proteus-shield-stats","downloads":683,"revisionId":38012,"revision":2,"name":"Proteus Shield Stats","description":"Request stats for Proteus Shield","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB, Prometheus","privacy":"public","createdAt":"2024-12-06T10:05:50.000Z","updatedAt":"2025-08-11T08:45:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22480"},{"rel":"revisions","href":"/dashboards/22480/revisions"},{"rel":"revision","href":"/dashboards/22480/revisions/2"},{"rel":"download","href":"/dashboards/22480/revisions/2/download"},{"rel":"org","href":"/orgs/openworklabbot"},{"rel":"images","href":"/dashboards/22480/images"},{"rel":"thumbnails","href":"/dashboards/22480/thumbnails"}],"datasourceSlugs":["influxdb","prometheus"]},{"id":25097,"status":1,"statusCode":"active","orgId":1718857,"orgSlug":"rpanic","orgName":"rpanic","slug":"protokit-sequencer","downloads":10,"revisionId":40513,"revision":2,"name":"Protokit Sequencer","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2026-04-01T21:54:12.000Z","updatedAt":"2026-04-15T11:37:11.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25097"},{"rel":"revisions","href":"/dashboards/25097/revisions"},{"rel":"revision","href":"/dashboards/25097/revisions/2"},{"rel":"download","href":"/dashboards/25097/revisions/2/download"},{"rel":"org","href":"/orgs/rpanic"},{"rel":"images","href":"/dashboards/25097/images"},{"rel":"thumbnails","href":"/dashboards/25097/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":14961,"status":1,"statusCode":"active","orgId":219676,"orgSlug":"santoslozano","orgName":"TECNOCE, S.L.","slug":"prototipo-sensorizaci-n-compostador","downloads":271,"revisionId":22330,"revision":1,"name":"Prototipo sensorización compostador","description":"Prototipaje de compostador","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-09-02T20:04:48.000Z","updatedAt":"2021-09-02T21:18:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14961"},{"rel":"revisions","href":"/dashboards/14961/revisions"},{"rel":"revision","href":"/dashboards/14961/revisions/1"},{"rel":"download","href":"/dashboards/14961/revisions/1/download"},{"rel":"org","href":"/orgs/santoslozano"},{"rel":"images","href":"/dashboards/14961/images"},{"rel":"thumbnails","href":"/dashboards/14961/thumbnails"}]},{"id":19855,"status":1,"statusCode":"active","orgId":329228,"orgSlug":"dobes","orgName":"dobes","slug":"prow-job-resource-usage","downloads":270,"revisionId":30510,"revision":1,"name":"Prow Job Resource Usage","description":"Show CPU and memory usage for jobs recently run in prow","readme":"You will need to whitelist these labels in kube-state-metrics so they are added to `kube_pod_labels`:\r\n\r\n- `prow.k8s.io/job`\r\n- `prow.k8s.io/refs.pull`\r\n- `prow.k8s.io/refs.repo`\r\n- `prow.k8s.io/type`\r\n\r\nThis assumes that the pods are running in the `test-pods` namespace.  If you're running jobs in another namespace you'll have to edit the dashboard.\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-10-25T21:09:56.000Z","updatedAt":"2023-10-25T21:20:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19855"},{"rel":"revisions","href":"/dashboards/19855/revisions"},{"rel":"revision","href":"/dashboards/19855/revisions/1"},{"rel":"download","href":"/dashboards/19855/revisions/1/download"},{"rel":"org","href":"/orgs/dobes"},{"rel":"images","href":"/dashboards/19855/images"},{"rel":"thumbnails","href":"/dashboards/19855/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10048,"status":1,"statusCode":"active","orgId":246224,"orgSlug":"undergrid","orgName":"undergrid","slug":"proxmox","downloads":21606,"revisionId":26331,"revision":4,"name":"Proxmox","description":"Display data from the Proxmox host and hosted VM's and Containers.","readme":"Developed against:\r\n* Proxmox 7.2 but may work with version 4.0 or later.  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temperature, ...), nvme/sata disk information(read/write bytes, power on hours, power cycles, ...), vm information(vm list, vm cpu/memory/disk usage, ...) and so on.\r\n\r\nThe dashboard is fed by a [Prometheus](https://prometheus.io/) data source, please use [exporter](https://github.com/lwch/proxmox-exporter) to collect 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For this deployment is important to name the InfluxDB and Loki(if you dont want logs then you can make a dummy Loki DS just for the deploy and then delete it) with a location description in the name, for example if you have 3 locations the naming can be like this:\r\n\"InfluxDB2 - LOC1\", \"Loki - LOC1\", \"InfluxDB2 - LOC2\", \"Loki - LOC2\", \"InfluxDB2 - LOC3\", \"Loki - LOC3\"\r\n\r\nAfter this you need to go to configuration of the dashboard and walk over all the variables changing some values and doing a \"Run query\" and \"Apply\".\r\nlocation: LOC1, LOC2, LOC3\r\ndsProxmox: just Run Query and Apply\r\nBucket: the name of you influxdb2 bucket(has to be the same in all locations)\r\nserver: just Run Query and Apply\r\ndsLoki: just Run Query and Apply\r\n\r\nAfter this save your dashboard and reload de page. You are ready to go. 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See \"Proxmox external metrics\". You have to install InfluxDB and Grafana on VM/LXC container and config the proxmox to push the data to it.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-04-30T08:27:14.000Z","updatedAt":"2018-04-30T08:30:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5875"},{"rel":"revisions","href":"/dashboards/5875/revisions"},{"rel":"revision","href":"/dashboards/5875/revisions/1"},{"rel":"download","href":"/dashboards/5875/revisions/1/download"},{"rel":"org","href":"/orgs/kpucko"},{"rel":"images","href":"/dashboards/5875/images"},{"rel":"thumbnails","href":"/dashboards/5875/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16162,"status":1,"statusCode":"active","orgId":636915,"orgSlug":"aste","orgName":"aste","slug":"proxmox","downloads":761,"revisionId":24522,"revision":1,"name":"Proxmox metric-server via Prometheus","description":"Proxmox Virtual Environment Dashboard from metric-server trough influxdb-exporter","readme":"Kubernetes - prometheus setup for proxmox metric server\r\n\r\nExport metrics from proxmox's integrated metric server in influxdb format, convert them in prometheus format, and collect them with kubernetes operated prometheus.\r\n\r\nUseful influxdb-exporter Helm chart: https://artifacthub.io/packages/helm/k8s-at-home/influxdb-exporter\r\n\r\nModified from: Proxmox via Prometheusby Pietro Saccardi","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-04-25T13:36:08.000Z","updatedAt":"2022-04-25T13:49:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16162"},{"rel":"revisions","href":"/dashboards/16162/revisions"},{"rel":"revision","href":"/dashboards/16162/revisions/1"},{"rel":"download","href":"/dashboards/16162/revisions/1/download"},{"rel":"org","href":"/orgs/aste"},{"rel":"images","href":"/dashboards/16162/images"},{"rel":"thumbnails","href":"/dashboards/16162/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16060,"status":1,"statusCode":"active","orgId":626646,"orgSlug":"shiftsystems","orgName":"shiftsystems","slug":"proxmox-metrics","downloads":699,"revisionId":33191,"revision":6,"name":"Proxmox metrics","description":"","readme":"This Dashboard displays both guest and host usage for all nodes in a Proxmox VE cluster. It uses the built in metrics servers to ship metrics via the influxdb protocol to Victoriametrics This dashboard is a part of the ShiftMon project.\r\n\r\nhttps://gitlab.com/shiftsystems/shift-rmm","collectorType":"Telegraf","collectorConfig":"This is configured by setting up the metrics server for proxmox in the datacenter section as seen in the screenshot below. You can use https if you have a valid certificate. You can also configure vm-auth and use a bearer token. ","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-04-06T03:35:45.000Z","updatedAt":"2024-06-13T19:56:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16060"},{"rel":"revisions","href":"/dashboards/16060/revisions"},{"rel":"revision","href":"/dashboards/16060/revisions/6"},{"rel":"download","href":"/dashboards/16060/revisions/6/download"},{"rel":"org","href":"/orgs/shiftsystems"},{"rel":"images","href":"/dashboards/16060/images"},{"rel":"thumbnails","href":"/dashboards/16060/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16550,"status":1,"statusCode":"active","orgId":201234,"orgSlug":"rafatec","orgName":"Rafael Prudente","slug":"proxmox-nodes","downloads":1042,"revisionId":25267,"revision":1,"name":"Proxmox Nodes","description":"Monitoramento dos Nodes de Proxmox via Zabbix","readme":"Foi usado as seguintes variáveis:\r\nquery0 ---> Type : Constant \r\n            ----> Value: PVE\r\n\r\nproxmox ---> Group : /.*PVE.*|.*PROXMOX.*/\r\nnode ---> Group : $proxmox\r\n                 Host : /.*/\r\n\r\ncpu ---> Goup:$query0\r\n       ---> Host: $proxmox\r\n____\r\nA variável $cpu, é utilizada para exibir o Name do CPU.\r\n####Zabbix#####\r\n*Number of CPUs :\r\n\r\n*key: system.cpu.num[snmp]\r\n\r\n*SNMP Agent\r\n___\r\n**CPU Name |\r\n**Key: system.hw.cpu[1,model] |\r\n** Zabbix Agent\r\n\r\nNo Zabbix, separei os servidores Proxmox em grupos (PVE / Proxmox).\r\nOs Nodes foram separados por grupos que determinam quais proxmox eles pertencem. Por exemplo:\r\nServidor Node VM, pertence ao Proxmox XY,  então foi cirando um grupo com o mesmo nome do Proxmox XY.\r\n___\r\nTelegran: https://t.me/Rafaprudente\r\n\r\n\r\n\r\n\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2022-07-06T17:33:54.000Z","updatedAt":"2022-07-08T12:32:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16550"},{"rel":"revisions","href":"/dashboards/16550/revisions"},{"rel":"revision","href":"/dashboards/16550/revisions/1"},{"rel":"download","href":"/dashboards/16550/revisions/1/download"},{"rel":"org","href":"/orgs/rafatec"},{"rel":"images","href":"/dashboards/16550/images"},{"rel":"thumbnails","href":"/dashboards/16550/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":22482,"status":1,"statusCode":"active","orgId":244218,"orgSlug":"rhm","orgName":"Rudi Martinsen","slug":"proxmox-overview","downloads":539,"revisionId":35423,"revision":3,"name":"Proxmox Overview","description":"","readme":"The dashboard is built for giving a quick overview of the utilization of a Proxmox Virtual environment.\r\n\r\nIt fetches data from an InfluxDB database and will use InfluxQL as the query language.\r\n\r\nTo configure the Proxmox to Influx integration you'll make use of the built in Metric Server functionality in Proxmox.\r\nFor more information see the [Proxmox documentation](https://pve.proxmox.com/wiki/External_Metric_Server) or my [blog post here](https://rudimartinsen.com/2024/12/03/proxmox-influx-grafana)\r\n\r\nSee also my other Proxmox dashboards built on the same datasource\r\n- Proxmox Overview (this dashboard)\r\n- [Proxmox Host, id 22483](https://grafana.com/grafana/dashboards/22483)\r\n- [Proxmox VM, id 22484](https://grafana.com/grafana/dashboards/22484)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-12-06T17:05:18.000Z","updatedAt":"2024-12-15T09:01:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22482"},{"rel":"revisions","href":"/dashboards/22482/revisions"},{"rel":"revision","href":"/dashboards/22482/revisions/3"},{"rel":"download","href":"/dashboards/22482/revisions/3/download"},{"rel":"org","href":"/orgs/rhm"},{"rel":"images","href":"/dashboards/22482/images"},{"rel":"thumbnails","href":"/dashboards/22482/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21988,"status":1,"statusCode":"active","orgId":262655,"orgSlug":"webmaster1989","orgName":"webmaster1989","slug":"proxmox-server","downloads":441,"revisionId":40434,"revision":3,"name":"Proxmox Server","description":"Proxmox Dashboard complete written in Flux w/ Cluster support","readme":"Proxmox virtual environment Grafana dashboard. Using data from influxdb Flux.This requires you to configure and setup a metrics server that sent data from the PVE (Promox server) to your data collection server and use port 8089 UDP in InfluxDB in order to retrieve the metric data.\r\n\r\nWe run a telegraf service (you need to manually install this on your PVE server). And configure the output plugin to sent to the influxdb on the other host that is running the influxdb (and grafana) server:\r\n\r\n```\r\n[[outputs.influxdb_v2]]\r\n   urls = [\"http://192.168.1.42:8086\"]\r\n\r\n   organization = \"proxmox\"\r\n   bucket = \"proxmox\"\r\n```\r\n\r\nSee the whole Telegraf example above at \"Collector/Agent Details\".\r\n\r\nTelegraf on PVE, but the InfluxDB is hosted on another machine. On this other machine that runs InfluxDB service you will need to configure your influxDB to listen on port 8089:\r\n\r\n```\r\n[[udp]]\r\n  enabled = true\r\n  bind-address = \"0.0.0.0:8089\"\r\n  database = \"proxmox\"\r\n  batch-timeout = \"2s\"\r\n```","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.cpu]]\r\n  ## Whether to report per-cpu stats or not\r\n  percpu = true\r\n  ## Whether to report total system cpu stats or not\r\n  totalcpu = true\r\n  ## If true, collect raw CPU time metrics\r\n  collect_cpu_time = false\r\n  ## If true, compute and report the sum of all non-idle CPU states\r\n  ## NOTE: The resulting 'time_active' field INCLUDES 'iowait'!\r\n  report_active = false\r\n  ## If true and the info is available then add core_id and physical_id tags\r\n  core_tags = false\r\n\r\n\r\n[[inputs.disk]]\r\n  ## Ignore mount points by filesystem type.\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\r\n\r\n[[inputs.diskio]]\r\n\r\n[[inputs.kernel]]\r\n\r\n[[inputs.mem]]\r\n\r\n[[inputs.processes]]\r\n\r\n[[inputs.swap]]\r\n\r\n[[inputs.system]]\r\n\r\n[[outputs.influxdb_v2]]\r\n   urls = [\"http://192.168.1.42:8086\"]\r\n\r\n#   ## Organization is the name of the organization you wish to write to.\r\n   organization = \"proxmox\"\r\n#\r\n#   ## Destination bucket to write into.\r\n   bucket = \"proxmox\"\r\n```\r\n","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-09-28T12:13:32.000Z","updatedAt":"2026-04-10T20:31:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21988"},{"rel":"revisions","href":"/dashboards/21988/revisions"},{"rel":"revision","href":"/dashboards/21988/revisions/3"},{"rel":"download","href":"/dashboards/21988/revisions/3/download"},{"rel":"org","href":"/orgs/webmaster1989"},{"rel":"images","href":"/dashboards/21988/images"},{"rel":"thumbnails","href":"/dashboards/21988/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13307,"status":1,"statusCode":"active","orgId":306015,"orgSlug":"onegreyonewhite","orgName":"Sergey Klyuykov","slug":"proxmox-ve","downloads":7775,"revisionId":20457,"revision":6,"name":"Proxmox VE","description":"Proxmox VictoriaMetrics dashboard","readme":"# Proxmox VE with VictoriaMetrics\nDashboard for visualizing metrics from Proxmox VE Hypervisors with VictoriaMetrics as storage.\n\n## How to use\n* Install and configure Proxmox VE hosts.\n* Enable on VictoriaMetrics InfluxDB collector ([read more](https://github.com/VictoriaMetrics/VictoriaMetrics#how-to-send-data-from-influxdb-compatible-agents-such-as-telegraf))\n* Configure Proxmox VE [External Metric Server](https://pve.proxmox.com/wiki/External_Metric_Server) with `Influxdb plugin` but with VictoriaMetrics host.\n* Import the dashboard and select VictoriaMetrics as datastore.\n\n## Author\n[Sergey Klyuykov](https://github.com/onegreyonewhite)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-30T04:32:59.000Z","updatedAt":"2021-02-25T02:29:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":4.67,"links":[{"rel":"self","href":"/dashboards/13307"},{"rel":"revisions","href":"/dashboards/13307/revisions"},{"rel":"revision","href":"/dashboards/13307/revisions/6"},{"rel":"download","href":"/dashboards/13307/revisions/6/download"},{"rel":"org","href":"/orgs/onegreyonewhite"},{"rel":"images","href":"/dashboards/13307/images"},{"rel":"thumbnails","href":"/dashboards/13307/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23863,"status":1,"statusCode":"active","orgId":1465864,"orgSlug":"ryanswalters1","orgName":"ryanswalters1","slug":"proxmox-ve","downloads":163,"revisionId":38017,"revision":1,"name":"Proxmox VE","description":"Proxmox VictoriaMetrics dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-08-11T16:42:48.000Z","updatedAt":"2025-08-11T16:43:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23863"},{"rel":"revisions","href":"/dashboards/23863/revisions"},{"rel":"revision","href":"/dashboards/23863/revisions/1"},{"rel":"download","href":"/dashboards/23863/revisions/1/download"},{"rel":"org","href":"/orgs/ryanswalters1"},{"rel":"images","href":"/dashboards/23863/images"},{"rel":"thumbnails","href":"/dashboards/23863/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24550,"status":1,"statusCode":"active","orgId":1608806,"orgSlug":"emailtomasvesely","orgName":"emailtomasvesely","slug":"proxmox-ve-pve-exporter","downloads":756,"revisionId":39298,"revision":1,"name":"Proxmox VE - pve-exporter","description":"Comprehensive monitoring dashboard for Proxmox VE using pve-exporter. Includes Node, VM, LXC, Storage, ZFS, and Hardware Sensor metrics.","readme":"Comprehensive monitoring dashboard for Proxmox VE using pve-exporter. Includes Node, VM, LXC, Storage, ZFS, and Hardware Sensor metrics.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-12-11T14:37:21.000Z","updatedAt":"2025-12-17T09:04:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24550"},{"rel":"revisions","href":"/dashboards/24550/revisions"},{"rel":"revision","href":"/dashboards/24550/revisions/1"},{"rel":"download","href":"/dashboards/24550/revisions/1/download"},{"rel":"org","href":"/orgs/emailtomasvesely"},{"rel":"images","href":"/dashboards/24550/images"},{"rel":"thumbnails","href":"/dashboards/24550/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23164,"status":1,"statusCode":"active","orgId":1069431,"orgSlug":"guillaumebj","orgName":"guillaumebj","slug":"proxmox-ve","downloads":815,"revisionId":36658,"revision":1,"name":"Proxmox VE [InfluxDBv2]","description":"Proxmox VE dashboard with metrics inside InfluxDB v2.","readme":"Configure your Proxmox Server to export metrics into your Local Influx DB v2 instance.\r\n\r\nSources:\r\n- https://grafana.com/grafana/dashboards/20890-proxmox-2024/\r\n- https://grafana.com/grafana/dashboards/15356-proxmox-cluster-flux/\r\n- https://grafana.com/grafana/dashboards/22559-proxmox-dashboard/","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-03-28T22:07:13.000Z","updatedAt":"2025-04-11T09:39:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23164"},{"rel":"revisions","href":"/dashboards/23164/revisions"},{"rel":"revision","href":"/dashboards/23164/revisions/1"},{"rel":"download","href":"/dashboards/23164/revisions/1/download"},{"rel":"org","href":"/orgs/guillaumebj"},{"rel":"images","href":"/dashboards/23164/images"},{"rel":"thumbnails","href":"/dashboards/23164/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11418,"status":1,"statusCode":"active","orgId":113219,"orgSlug":"corsinvest","orgName":"Corsinvest","slug":"proxmox-ve-alert","downloads":751,"revisionId":16026,"revision":1,"name":"Proxmox VE Alert","description":"Proxmox VE alert dashboard","readme":"Alert page for Proxmox VE\n\nConfigure Proxmox VE to send metrics to InfluxDB https://pve.proxmox.com/wiki/External_Metric_Server\n\nhttps://www.cv4pve-tools.com\n\nhttps://github.com/Corsinvest/cv4pve-metrics\n\nhttps://www.corsinvest.it","collectorType":"Telegraf","collectorConfig":"For more detail for configuration see 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VE","readme":"Configure Proxmox VE to send metrics to InfluxDB  https://pve.proxmox.com/wiki/External_Metric_Server\n\nhttps://www.cv4pve-metrics.com\n\nhttps://github.com/Corsinvest/cv4pve-metrics\n\nhttps://www.corsinvest.it","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-08-28T10:14:20.000Z","updatedAt":"2020-08-28T10:26:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12907"},{"rel":"revisions","href":"/dashboards/12907/revisions"},{"rel":"revision","href":"/dashboards/12907/revisions/1"},{"rel":"download","href":"/dashboards/12907/revisions/1/download"},{"rel":"org","href":"/orgs/corsinvest"},{"rel":"images","href":"/dashboards/12907/images"},{"rel":"thumbnails","href":"/dashboards/12907/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24239,"status":1,"statusCode":"active","orgId":502618,"orgSlug":"alegria2096","orgName":"LUVIAMAN","slug":"proxmox-ve-cluster","downloads":137,"revisionId":38667,"revision":1,"name":"Proxmox 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server option for Cluster use. Original Dashboard has been taken from @mephisto and then there was modified some graphs.","readme":"Original Dashboard has been taken from [rbnk](https://grafana.com/orgs/rbnk)'s Dashboard [ID:18127](https://grafana.com/grafana/dashboards/18127-proxmox-flux/) which was a modified *cluster* version of [mephisto]( https://grafana.com/orgs/mephisto)'s Dashboard [ID:15356](https://grafana.com/grafana/dashboards/15356-proxmox-flux/). Then there was modified some graphs for cluster purposes (i.e. the storage graph was divided by type, load average graphs was added, added LXC disk usage etc).\r\nIt’s easy to use:\r\n\r\n1. Create a Bucket and token in InfluxDB2.\r\n2. Enable metric export in Proxmox VE.\r\n3. Verify that data is stored in the Bucket.\r\n4. Create a Flux Datasource in Grafana with a token that as read access to the Bucket.\r\n5. Import this Dashboard template.\r\n6. Choose *Datasource, Bucket* and *Servers* in Dashboard.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-07-06T12:12:11.000Z","updatedAt":"2023-07-06T13:12:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19119"},{"rel":"revisions","href":"/dashboards/19119/revisions"},{"rel":"revision","href":"/dashboards/19119/revisions/1"},{"rel":"download","href":"/dashboards/19119/revisions/1/download"},{"rel":"org","href":"/orgs/leondre14"},{"rel":"images","href":"/dashboards/19119/images"},{"rel":"thumbnails","href":"/dashboards/19119/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13099,"status":1,"statusCode":"active","orgId":113219,"orgSlug":"corsinvest","orgName":"Corsinvest","slug":"proxmox-ve-cv4pve-autosnap","downloads":538,"revisionId":19011,"revision":1,"name":"Proxmox VE cv4pve-autosnap","description":"cv4pve-autosnap Page for Proxmox VE\n\nConfigure Proxmox VE to send metrics to InfluxDB https://pve.proxmox.com/wiki/External_Metric_Server\n\nhttps://www.cv4pve-tools.com\n\nhttps://github.com/Corsinvest/cv4pve-metrics\nhttps://github.com/Corsinvest/cv4pve-autosnap\n\nhttps://www.corsinvest.it","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-10-02T08:59:05.000Z","updatedAt":"2020-10-02T09:03:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13099"},{"rel":"revisions","href":"/dashboards/13099/revisions"},{"rel":"revision","href":"/dashboards/13099/revisions/1"},{"rel":"download","href":"/dashboards/13099/revisions/1/download"},{"rel":"org","href":"/orgs/corsinvest"},{"rel":"images","href":"/dashboards/13099/images"},{"rel":"thumbnails","href":"/dashboards/13099/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22559,"status":1,"statusCode":"active","orgId":993184,"orgSlug":"swike","orgName":"swike","slug":"proxmox-dashboard","downloads":724,"revisionId":35499,"revision":1,"name":"Proxmox 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OpenTelemetry Grafana","readme":"Used https://grafana.com/grafana/dashboards/22559-proxmox-dashboard/ as reference, this dashboard uses the new OpenTelemetry metrics server from proxmox 9","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-08-08T13:49:51.000Z","updatedAt":"2025-08-08T20:04:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23855"},{"rel":"revisions","href":"/dashboards/23855/revisions"},{"rel":"revision","href":"/dashboards/23855/revisions/1"},{"rel":"download","href":"/dashboards/23855/revisions/1/download"},{"rel":"org","href":"/orgs/spagno"},{"rel":"images","href":"/dashboards/23855/images"},{"rel":"thumbnails","href":"/dashboards/23855/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11416,"status":1,"statusCode":"active","orgId":113219,"orgSlug":"corsinvest","orgName":"Corsinvest","slug":"proxmox-ve-home","downloads":1177,"revisionId":16024,"revision":1,"name":"Proxmox VE Home","description":"Home dashboard with alerting, nodes, syslog,VM/CT for cluster Proxmox VE","readme":"Home 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InfluxDB https://pve.proxmox.com/wiki/External_Metric_Server\n\nhttps://www.cv4pve-metrics.com\n\nhttps://github.com/Corsinvest/cv4pve-metrics\n\nhttps://www.corsinvest.it","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-08-28T10:28:19.000Z","updatedAt":"2020-08-28T10:34:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12908"},{"rel":"revisions","href":"/dashboards/12908/revisions"},{"rel":"revision","href":"/dashboards/12908/revisions/1"},{"rel":"download","href":"/dashboards/12908/revisions/1/download"},{"rel":"org","href":"/orgs/corsinvest"},{"rel":"images","href":"/dashboards/12908/images"},{"rel":"thumbnails","href":"/dashboards/12908/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12909,"status":1,"statusCode":"active","orgId":113219,"orgSlug":"corsinvest","orgName":"Corsinvest","slug":"proxmox-ve-network","downloads":570,"revisionId":18663,"revision":1,"name":"Proxmox 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exporter","readme":"Dashboard for https://github.com/discordianfish/pubgtracker_exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-09-21T12:38:56.000Z","updatedAt":"2017-09-21T12:39:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3287"},{"rel":"revisions","href":"/dashboards/3287/revisions"},{"rel":"revision","href":"/dashboards/3287/revisions/1"},{"rel":"download","href":"/dashboards/3287/revisions/1/download"},{"rel":"org","href":"/orgs/fish"},{"rel":"images","href":"/dashboards/3287/images"},{"rel":"thumbnails","href":"/dashboards/3287/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25289,"status":1,"statusCode":"active","orgId":1763439,"orgSlug":"smedlang","orgName":"smedlang","slug":"pugetroute-backend","downloads":3,"revisionId":40731,"revision":1,"name":"PugetRoute Backend","description":"PugetRoute backend health and traffic. Three rows: VM-level infrastructure (CPU/RAM/disk/network), application traffic (signal-proxy request rate and latency), and data freshness (graph age, GTFS-RT updater status). Designed for the docker-compose stack with prometheus + node-exporter scraping.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-05-11T23:22:59.000Z","updatedAt":"2026-05-11T23:24:01.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25289"},{"rel":"revisions","href":"/dashboards/25289/revisions"},{"rel":"revision","href":"/dashboards/25289/revisions/1"},{"rel":"download","href":"/dashboards/25289/revisions/1/download"},{"rel":"org","href":"/orgs/smedlang"},{"rel":"images","href":"/dashboards/25289/images"},{"rel":"thumbnails","href":"/dashboards/25289/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22554,"status":1,"statusCode":"active","orgId":359955,"orgSlug":"tonsaj","orgName":"tonsaj","slug":"puls","downloads":249,"revisionId":35492,"revision":1,"name":"Puls","description":"SVS Puls","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-12-20T13:43:55.000Z","updatedAt":"2024-12-20T13:45:19.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22554"},{"rel":"revisions","href":"/dashboards/22554/revisions"},{"rel":"revision","href":"/dashboards/22554/revisions/1"},{"rel":"download","href":"/dashboards/22554/revisions/1/download"},{"rel":"org","href":"/orgs/tonsaj"},{"rel":"images","href":"/dashboards/22554/images"},{"rel":"thumbnails","href":"/dashboards/22554/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19853,"status":1,"statusCode":"active","orgId":958294,"orgSlug":"pulzeai","orgName":"pulze.ai","slug":"pulze-llm-application-overview","downloads":340,"revisionId":30508,"revision":1,"name":"Pulze LLM Application Overview","description":"Pulze.ai Dashboard around LLM application performance, costs, and usage associated with various providers and models.","readme":"Overview:\r\nThe \"Pulze LLM Application Overview\" offers a deep dive into the various metrics associated with the Pulze application. Designed for managers, developers, and financial analysts alike, this dashboard combines essential metrics to provide a panoramic view of how the application performs, the associated costs, and token consumption.\r\n\r\nSections:\r\n\r\nCost Overview:\r\n\r\nGet a grasp of your spending by understanding average costs per token and the overall cost distribution by providers.\r\nTrack which models are the most cost-effective and how spending on prompts evolves over time.\r\nPerformance Metrics:\r\n\r\nMonitor the application's efficiency by exploring average request durations segmented by model.\r\nGain insights into the performance of providers by understanding the average request duration per token.\r\nUsage Metrics:\r\n\r\nTrack token consumption trends across different organizations and request types.\r\nUnderstand which organizations are the most active and which request types are the most token-intensive.\r\nComparative Metrics:\r\n\r\nAssess the balance between cost and token usage for each model.\r\nAnalyze the relationship between request duration and token consumption.\r\nOperational Insights:\r\n\r\nStay ahead of operational challenges by monitoring the rate of prompt costs and identifying potentially slower providers.\r\nDeep dive into metrics per app ID to ensure optimal performance across all apps.\r\nUsing the Dashboard:\r\n\r\nFilters & Segments: Use the dropdowns and selectors at the top of the dashboard to filter data by specific models, providers, organizations, or time ranges.\r\n\r\nToolTips: Hover over data points and charts to view additional details and insights.\r\n\r\nRefresh Rate: The dashboard data updates every 5 minutes. However, users can manually refresh for the latest data.\r\n\r\nFeedback and Suggestions:\r\nYour insights and feedback are invaluable. If you have suggestions or encounter any issues, please reach out to our support team at support@pulze.ai.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2023-10-25T17:11:03.000Z","updatedAt":"2023-10-27T19:16:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19853"},{"rel":"revisions","href":"/dashboards/19853/revisions"},{"rel":"revision","href":"/dashboards/19853/revisions/1"},{"rel":"download","href":"/dashboards/19853/revisions/1/download"},{"rel":"org","href":"/orgs/pulzeai"},{"rel":"images","href":"/dashboards/19853/images"},{"rel":"thumbnails","href":"/dashboards/19853/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":9655,"status":1,"statusCode":"active","orgId":228361,"orgSlug":"jeroen92","orgName":"jeroen92","slug":"pumpswindt","downloads":338,"revisionId":13394,"revision":1,"name":"PUMPSwindT","description":"Data from small wind turbines,","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2019-01-14T13:51:23.000Z","updatedAt":"2019-01-14T13:52:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9655"},{"rel":"revisions","href":"/dashboards/9655/revisions"},{"rel":"revision","href":"/dashboards/9655/revisions/1"},{"rel":"download","href":"/dashboards/9655/revisions/1/download"},{"rel":"org","href":"/orgs/jeroen92"},{"rel":"images","href":"/dashboards/9655/images"},{"rel":"thumbnails","href":"/dashboards/9655/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":11091,"status":1,"statusCode":"active","orgId":308535,"orgSlug":"tkaesser","orgName":"tkaesser","slug":"puppet-board","downloads":526,"revisionId":15500,"revision":1,"name":"Puppet Board","description":"Strategic overview for puppet-metrics\n\nInspired by:\nhttps://github.com/voxpupuli/puppetboard/tree/master/puppetboard\n\nDeep-dives available, just contact me if interested, i will provide them as well!","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2019-11-04T13:11:25.000Z","updatedAt":"2019-11-04T13:19:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11091"},{"rel":"revisions","href":"/dashboards/11091/revisions"},{"rel":"revision","href":"/dashboards/11091/revisions/1"},{"rel":"download","href":"/dashboards/11091/revisions/1/download"},{"rel":"org","href":"/orgs/tkaesser"},{"rel":"images","href":"/dashboards/11091/images"},{"rel":"thumbnails","href":"/dashboards/11091/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":700,"status":1,"statusCode":"active","orgId":32845,"orgSlug":"roidelapluie","orgName":"roidelapluie","slug":"puppet-report","downloads":1609,"revisionId":970,"revision":2,"name":"Puppet Report","description":"Detailed information about Puppet report metrics","readme":"# Grafana Puppet dashboard\r\n\r\nDeep dive one node's Puppet reports.\r\n\r\n\r\nThis dashboard is meant to be used with the Puppet\r\n[prometheus_reporter](https://github.com/voxpupuli/puppet-prometheus_reporter)\r\n\r\nDeep dive one node's Puppet reports\r\n\r\n## Contributors\r\n\r\n[See Github](https://github.com/voxpupuli/grafana-dashboards-puppet-prometheus/graphs/contributors).\r\n\r\nSpecial thanks to [Vox Pupuli](https://voxpupuli.org) to provide a platform\r\nthat allows us to develop of the dashboards.\r\n\r\n## Copyright and License\r\n\r\nCopyright © 2016 [Multiple contributors][mc]\r\n\r\n[mc]:https://github.com/voxpupuli/grafana-dashboards-puppet-prometheus/graphs/contributors\r\n\r\nLicensed under the Apache License, Version 2.0 (the \"License\");\r\nyou may not use this file except in compliance with the License.\r\nYou may obtain a copy of the License at\r\n\r\n  http://www.apache.org/licenses/LICENSE-2.0\r\n\r\nUnless required by applicable law or agreed to in writing, software\r\ndistributed under the License is distributed on an \"AS IS\" BASIS,\r\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\r\nSee the License for the specific language governing permissions and\r\nlimitations under the License.","collectorType":"nodeExporter","collectorConfig":"### Puppet & Prometheus setup\r\n\r\nSee [prometheus_reporter](https://github.com/voxpupuli/puppet-prometheus_reporter)\r\n\r\n### Grafana\r\n\r\nThe dashboards expects a datasource called Prometheus (in line with\r\n[percona/grafana-dashboards](https://github.com/percona/grafana-dashboards)\r\nrecommendations).","collectorPluginList":"textfile","datasource":"Prometheus","privacy":"public","createdAt":"2016-10-21T09:34:48.000Z","updatedAt":"2016-10-21T13:18:17.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":2,"links":[{"rel":"self","href":"/dashboards/700"},{"rel":"revisions","href":"/dashboards/700/revisions"},{"rel":"revision","href":"/dashboards/700/revisions/2"},{"rel":"download","href":"/dashboards/700/revisions/2/download"},{"rel":"org","href":"/orgs/roidelapluie"},{"rel":"images","href":"/dashboards/700/images"},{"rel":"thumbnails","href":"/dashboards/700/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12245,"status":1,"statusCode":"active","orgId":379766,"orgSlug":"fessaries","orgName":"fessaries","slug":"flasharray-array","downloads":434,"revisionId":17466,"revision":1,"name":"Pure FlashArray - Array","description":"Pure FlashArray overview using Prometheus and pure-exporter","readme":"This dashboard visualizes Prometheus metrics provided by https://github.com/PureStorage-OpenConnect/pure-exporter.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-05-07T04:45:44.000Z","updatedAt":"2020-05-07T04:56:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12245"},{"rel":"revisions","href":"/dashboards/12245/revisions"},{"rel":"revision","href":"/dashboards/12245/revisions/1"},{"rel":"download","href":"/dashboards/12245/revisions/1/download"},{"rel":"org","href":"/orgs/fessaries"},{"rel":"images","href":"/dashboards/12245/images"},{"rel":"thumbnails","href":"/dashboards/12245/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12246,"status":1,"statusCode":"active","orgId":379766,"orgSlug":"fessaries","orgName":"fessaries","slug":"flasharray-volume","downloads":333,"revisionId":17467,"revision":1,"name":"Pure FlashArray - Volume","description":"Pure FlashArray volume metrics using Prometheus and pure-exporter","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-05-07T04:51:16.000Z","updatedAt":"2020-05-07T04:56:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12246"},{"rel":"revisions","href":"/dashboards/12246/revisions"},{"rel":"revision","href":"/dashboards/12246/revisions/1"},{"rel":"download","href":"/dashboards/12246/revisions/1/download"},{"rel":"org","href":"/orgs/fessaries"},{"rel":"images","href":"/dashboards/12246/images"},{"rel":"thumbnails","href":"/dashboards/12246/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19518,"status":1,"statusCode":"active","orgId":938466,"orgSlug":"castlehouse","orgName":"castlehouse","slug":"pure-storage-flasharray-overview","downloads":321,"revisionId":29951,"revision":1,"name":"Pure Storage FlashArray - Overview","description":"Take a holistic overview of your Pure Storage FlashArray estate on-premise with Prometheus and Grafana to summarize open alerts, capacity utilization, Purity versions, data reduction rates and performance statistics.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-09-11T05:07:19.000Z","updatedAt":"2023-09-11T05:07:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19518"},{"rel":"revisions","href":"/dashboards/19518/revisions"},{"rel":"revision","href":"/dashboards/19518/revisions/1"},{"rel":"download","href":"/dashboards/19518/revisions/1/download"},{"rel":"org","href":"/orgs/castlehouse"},{"rel":"images","href":"/dashboards/19518/images"},{"rel":"thumbnails","href":"/dashboards/19518/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18515,"status":1,"statusCode":"active","orgId":835912,"orgSlug":"purestorage","orgName":"Pure Storage","slug":"pure-storage-flasharray-overview","downloads":738,"revisionId":31808,"revision":5,"name":"Pure Storage FlashArray - Overview","description":"This dashboard provides an overview of your fleet to give you early indications of potential issues and a look back in time to recent history. Once you are pulling the metrics, you can create your own dashboards bespoke to your environment, even correlating metrics from other technologies.","readme":"![pps-logo.png](https://www.purestorage.com/content/dam/purestorage/knowledge/pure-storage.png.imgo.png)\r\n\r\n## Source\r\nSOURCE: [https://github.com/PureStorage-OpenConnect/pure-fa-openmetrics-exporter/blob/master/extra/grafana/grafana-purefa-flasharray-overview.json][2]\r\n\r\n## Overview\r\nThis dashboard provides an overview of your fleet to give you early indications of potential issues and a look back in time to recent history. Once you are pulling the metrics, you can create your own dashboards bespoke to your environment, even correlating metrics from other technologies.\r\n* Array Utilization\r\n* Purity OS version\r\n* Data Reduction Rate\r\n* Number and type of open alerts\r\n* Drill down into specific arrays and identify top busy hosts while correlating read and write operations and throughput to quickly highlight or eliminate investigation enquiries.\r\n\r\n![grafana_purefa_overview_dash_1.png](https://github.com/PureStorage-OpenConnect/pure-fa-openmetrics-exporter/blob/master/extra/grafana/images/grafana_purefa_overview_dash_1.png?raw=true?raw=true)\r\n![grafana_purefa_overview_dash_2.png](https://github.com/PureStorage-OpenConnect/pure-fa-openmetrics-exporter/blob/master/extra/grafana/images/grafana_purefa_overview_dash_2.png?raw=true.png?raw=true)\r\n\r\n## Tested With\r\n* [Pure Storage FlashArray OpenMetrics Exporter][1]\r\n    * latest\r\n* Prometheus\r\n    * v2.45.1 LTS\r\n* Grafana\r\n    * 9.3.2, 10.1.15, 10.3.3\r\n\r\n## Documentation\r\nFor instructions for getting up and running, check out [extra/grafana][3] in the [PureStorage-OpenConnect/pure-fa-openmetrics-exporter][1] repository on GitHub.\r\n\r\n## Related Dashboards\r\n[Pure Storage FlashBlade Overview](https://grafana.com/grafana/dashboards/18516-pure-storage-flashblade-overview/)\r\n\r\n[1]: https://github.com/PureStorage-OpenConnect/pure-fa-openmetrics-exporter\r\n[2]: https://github.com/PureStorage-OpenConnect/pure-fa-openmetrics-exporter/blob/master/extra/grafana/grafana-purefa-flasharray-overview.json\r\n[3]: https://github.com/PureStorage-OpenConnect/pure-fa-openmetrics-exporter/tree/master/extra/grafana","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-13T20:22:04.000Z","updatedAt":"2024-02-28T13:56:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18515"},{"rel":"revisions","href":"/dashboards/18515/revisions"},{"rel":"revision","href":"/dashboards/18515/revisions/5"},{"rel":"download","href":"/dashboards/18515/revisions/5/download"},{"rel":"org","href":"/orgs/purestorage"},{"rel":"images","href":"/dashboards/18515/images"},{"rel":"thumbnails","href":"/dashboards/18515/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18516,"status":1,"statusCode":"active","orgId":835912,"orgSlug":"purestorage","orgName":"Pure Storage","slug":"pure-storage-flashblade-overview","downloads":410,"revisionId":37776,"revision":7,"name":"Pure Storage FlashBlade - Overview","description":"Get real-time visibility into your FlashBlade environment with a powerful, high-level dashboard built for speed, scale, and clarity. Instantly surface performance, capacity, and top talkers—so you can troubleshoot smarter and act faster.","readme":"![pps-logo.png](https://www.purestorage.com/content/dam/purestorage/knowledge/pure-storage.png.imgo.png)\r\n\r\nSOURCE: [https://github.com/PureStorage-OpenConnect/pure-fb-openmetrics-exporter/blob/main/extra/grafana/grafana-purefb-flashblade-overview.json][2]\r\n\r\n## Features\r\nThis dashboard provides an overview of your fleet to give you early indications of potential issues and a look back in time to recent history. Once you are pulling the metrics, you can create your own dashboards bespoke to your environment, even correlating metrics from other technologies.\r\n* Array Utilization\r\n* Purity OS version\r\n* Data Reduction Rate\r\n* Number and type of open alerts\r\n* Drill down into specific arrays and identify top busy hosts while correlating read and write operations and throughput to quickly highlight or eliminate investigation enquiries.\r\n\r\n![grafana_purefb_overview_dash_1.png](https://github.com/PureStorage-OpenConnect/pure-fb-openmetrics-exporter/blob/main/extra/grafana/images/grafana_purefb_overview_dash_1.png?raw=true)\r\n![grafana_purefb_overview_dash_2.png](https://github.com/PureStorage-OpenConnect/pure-fb-openmetrics-exporter/blob/main/extra/grafana/images/grafana_purefb_overview_dash_2.png?raw=true)\r\n \r\n\r\n## Requirements\r\n* [Pure Storage FlashBlade OpenMetrics Exporter][1]\r\n* Prometheus v2.45.1 LTS, 2.53.5 LTS\r\n* Grafana 11.1.5, 11.2.10, 11.3.7, 11.4.5, 12.0.2\r\n\r\n## How to get up and running\r\nFor detailed instructions for getting up and running, check out [extra/grafana][3] in the [PureStorage-OpenConnect/pure-fb-openmetrics-exporter][1] repository on GitHub.\r\n\r\n[1]: https://github.com/PureStorage-OpenConnect/pure-fb-openmetrics-exporter\r\n[2]: https://github.com/PureStorage-OpenConnect/pure-fb-openmetrics-exporter/blob/main/extra/grafana/grafana-purefb-flashblade-overview.json\r\n[3]: https://github.com/PureStorage-OpenConnect/pure-fb-openmetrics-exporter/tree/master/extra/grafana","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-13T21:10:46.000Z","updatedAt":"2025-07-18T11:57:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18516"},{"rel":"revisions","href":"/dashboards/18516/revisions"},{"rel":"revision","href":"/dashboards/18516/revisions/7"},{"rel":"download","href":"/dashboards/18516/revisions/7/download"},{"rel":"org","href":"/orgs/purestorage"},{"rel":"images","href":"/dashboards/18516/images"},{"rel":"thumbnails","href":"/dashboards/18516/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19517,"status":1,"statusCode":"active","orgId":938466,"orgSlug":"castlehouse","orgName":"castlehouse","slug":"pure-storage-flashblade-overview","downloads":275,"revisionId":29950,"revision":1,"name":"Pure Storage FlashBlade - Overview","description":"Take a holistic overview of your Pure Storage FlashBlade estate on-premise with Prometheus and Grafana to summarize open alerts, capacity utilization, Purity versions, data reduction rates and performance statistics.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-09-11T05:06:28.000Z","updatedAt":"2023-09-11T05:06:40.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19517"},{"rel":"revisions","href":"/dashboards/19517/revisions"},{"rel":"revision","href":"/dashboards/19517/revisions/1"},{"rel":"download","href":"/dashboards/19517/revisions/1/download"},{"rel":"org","href":"/orgs/castlehouse"},{"rel":"images","href":"/dashboards/19517/images"},{"rel":"thumbnails","href":"/dashboards/19517/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10705,"status":1,"statusCode":"active","orgId":254580,"orgSlug":"gelob","orgName":"Ryan","slug":"pure-stats","downloads":479,"revisionId":14942,"revision":1,"name":"Pure Storage Stats","description":"Basic dashboard to show Pure Storage array statistics","readme":"Basic dashboard to show Pure Storage statistics by way of the pure2influx script https://github.com/Gelob/pure2influx","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-08-09T14:19:53.000Z","updatedAt":"2019-08-09T14:30:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10705"},{"rel":"revisions","href":"/dashboards/10705/revisions"},{"rel":"revision","href":"/dashboards/10705/revisions/1"},{"rel":"download","href":"/dashboards/10705/revisions/1/download"},{"rel":"org","href":"/orgs/gelob"},{"rel":"images","href":"/dashboards/10705/images"},{"rel":"thumbnails","href":"/dashboards/10705/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14723,"status":1,"statusCode":"active","orgId":522339,"orgSlug":"viridianforge","orgName":"viridianforge","slug":"air-quality","downloads":364,"revisionId":21870,"revision":1,"name":"Purple Air PAII Air Quality","description":"Grafana Dashboard for use with the purple_exporter Prometheus exporter.","readme":"\r\n# purple_exporter Dashboard\r\nThis Dashboard is an example for use alongside [purple_exporter](https://github.com/ViridianForge/purple_exporter). Instructions for setting up the associated Prometheus exporter can be found with the purple_exporter Github repo.\r\n\r\nThis dashboard displays the following information, as collected from a PAII Purple Air Sensor connected to an instance of purple_exporter.\r\n- Air Temperature\r\n- Air Pressure\r\n- Ambient Humidity\r\n- Particle Estimated Mass Concentration for Sensors A and B of particles less than:\r\n    - 1.0 uM in diameter\r\n    - 2.0 uM in diameter\r\n    - 10.0 uM in diameter\r\n- Particle Counts for Sensors A and B of particles greater than:\r\n    - 0.3 uM in diameter\r\n    - 0.5 uM in diameter\r\n    - 1.0 uM in diameter\r\n    - 2.5 uM in diameter\r\n    - 5.0 uM in diameter\r\n    - 10.0 uM in diameter\r\n\r\nAs Purple Air asks that API requests be limited to once every 5 minutes, the default, and fastest refresh rate for this dashboard is 5 minutes.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-07-16T05:28:09.000Z","updatedAt":"2021-07-16T05:46:55.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14723"},{"rel":"revisions","href":"/dashboards/14723/revisions"},{"rel":"revision","href":"/dashboards/14723/revisions/1"},{"rel":"download","href":"/dashboards/14723/revisions/1/download"},{"rel":"org","href":"/orgs/viridianforge"},{"rel":"images","href":"/dashboards/14723/images"},{"rel":"thumbnails","href":"/dashboards/14723/thumbnails"}]},{"id":22563,"status":1,"statusCode":"active","orgId":1307657,"orgSlug":"meshackkinyuan","orgName":"meshackkinyuan","slug":"purple-air-paii-air-quality","downloads":249,"revisionId":35508,"revision":1,"name":"Purple Air PAII Air Quality","description":"Grafana Dashboard for use with the purple_exporter Prometheus exporter.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2024-12-23T12:36:33.000Z","updatedAt":"2024-12-23T12:37:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22563"},{"rel":"revisions","href":"/dashboards/22563/revisions"},{"rel":"revision","href":"/dashboards/22563/revisions/1"},{"rel":"download","href":"/dashboards/22563/revisions/1/download"},{"rel":"org","href":"/orgs/meshackkinyuan"},{"rel":"images","href":"/dashboards/22563/images"},{"rel":"thumbnails","href":"/dashboards/22563/thumbnails"}]},{"id":20039,"status":1,"statusCode":"active","orgId":996488,"orgSlug":"chorvatandrej","orgName":"chorvatandrej","slug":"pv-dashboard","downloads":291,"revisionId":30802,"revision":1,"name":"PV Dashboard","description":"PV Dashboard for Huawei Sun2000 Inverter","readme":"chor","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-11-24T10:11:35.000Z","updatedAt":"2023-11-24T10:13:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20039"},{"rel":"revisions","href":"/dashboards/20039/revisions"},{"rel":"revision","href":"/dashboards/20039/revisions/1"},{"rel":"download","href":"/dashboards/20039/revisions/1/download"},{"rel":"org","href":"/orgs/chorvatandrej"},{"rel":"images","href":"/dashboards/20039/images"},{"rel":"thumbnails","href":"/dashboards/20039/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18352,"status":1,"statusCode":"active","orgId":595198,"orgSlug":"bmshine","orgName":"bmshine","slug":"pv-anlage","downloads":850,"revisionId":28171,"revision":1,"name":"PV Dashboard","description":"PV Dashboard for Huawei Sun2000 Inverter","readme":"PV Dashboard for Huawei Sun2000 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angepasstes Dashboard für dieses Projekt.\r\nhttps://git.hollander.online/energy/opendtu-logger\r\n\r\nHier wird statt influxdb postgres verwendet was zumindest bei mir bedeutend weniger Ram und Festplatte benötigt.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2025-05-14T13:30:02.000Z","updatedAt":"2025-05-15T08:35:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23432"},{"rel":"revisions","href":"/dashboards/23432/revisions"},{"rel":"revision","href":"/dashboards/23432/revisions/1"},{"rel":"download","href":"/dashboards/23432/revisions/1/download"},{"rel":"org","href":"/orgs/snakekick"},{"rel":"images","href":"/dashboards/23432/images"},{"rel":"thumbnails","href":"/dashboards/23432/thumbnails"}],"datasourceSlugs":["grafana-postgresql-datasource"]},{"id":16850,"status":1,"statusCode":"active","orgId":704528,"orgSlug":"c1328","orgName":"c1328","slug":"pv-power-ahoy","downloads":2008,"revisionId":26688,"revision":8,"name":"PV Power Ahoy","description":"AHOY-DTU (https://github.com/grindylow/ahoy) delivers power metrics from inverter via MQTT to a MQTT (mosquitto) server. Telegraf subscribes that topic (“inverter/#”) and writes everything to InfluxDB. The Dashboard consumes data from InfluxDB.","readme":"# Note: This dashboard will maintained here: https://github.com/c1328/ahoy-mosquitto-telegraf-influx-grafana and the successor that is based on a ioBroker solution (and an alternative for influxdb 2.x) can be found here: https://github.com/c1328/ahoy-iobroker-influx-grafana\r\n\r\nSummary:\r\nAHOY-DTU (https://github.com/grindylow/ahoy) delivers power metrics from inverter via MQTT to a MQTT (mosquitto) server. Telegraf subscribes that topic (\"inverter/#\") and writes everything to InfluxDB. The Dashboard consumes data from InfluxDB.\r\n\r\nArchitecture:\r\nInverter -> Ahoy-DTU (ESP8266) -> MQTT (mosquitto) -> Telegraf -> InfluxDB -> Grafana\r\n\r\nWarning: The connection Ahoy-DTU (ESP8266) -> MQTT (mosquitto) is currently insecure (no SSL possible).\r\n\r\nDashboard content: Two sections, an overview and a detail area with all metrics that might be interesting for you.\r\n\r\nPrerequisites:\r\n- Ahoy-DTU with configured MQTT server (topic and name of inverter will be configured in dashboard as variable)\r\n- MQTT server (listening on port 1883; SSL is not supported by AHOY-DTU yet)\r\n- Telegraf (connected to an InluxDB, consumer configured as given below)\r\n- InfluxDB (connected/consumable by your Grafana installation)\r\n\r\nInstallation:\r\n- Configure Ahoy DTU to send MQTT messages to your MQTT Server\r\n- Check if you receive MQTT messages \"mosquitto_sub -h localhost -t ahoyTopic/# -u \"USER\" -P \"PASSWORD\" -v\"\r\n- Results looks like:\r\n  - ahoyTopic/ahoyInvertername/ch1/U_DC 34.500\r\n  - ahoyTopic/ahoyInvertername/ch1/I_DC 0.890\r\n  - ahoyTopic/ahoyInvertername/ch1/P_DC 30.800\r\n  - (...)\r\n- With setting up mqtt_consumer in your Telegraf config you should see a table \"mqtt_consumer\" in your Telegraf database at InfluxDB\r\n- Import Grafana Dashboard via JSON or ID\r\n- Enjoy dashboard and producing energy (dashboard is configured for one inverter and two panels east/west - please adjust to your needs)\r\n\r\nDashboard variables:\r\n- kwhPrice: Define your individual price of a kWh to calculate your potential daily savings - in case you consumed all of your produced energy.\r\n- ahoyTopic: the name of your topic configured at Ahoy-DTU\r\n- ahoyInvertername: the name of your inverter configured at Ahoy-DTU \r\n- Country And City: see \"Optional\" below\r\n\r\nTelegraf configs for mqtt and openweathermap:\r\n- [[inputs.mqtt_consumer]]\r\n  - servers = [\"tcp://localhost:1883\"]\r\n  - topics = [\r\n\"ahoyTopic/#\"\r\n]\r\n  - qos = 0\r\n  - connection_timeout = \"30s\"\r\n  - username = \"USERNAME\"\r\n  - password = \"PASSWORD\"\r\n  - data_format = \"value\"\r\n  - data_type = \"float\"\r\n\r\n- [[inputs.openweathermap]]\r\n  - app_id = \"YOUR_API_KEY\"\r\n  - city_id = [\"CITY1\", \"CITY2\", \"CITY3\"]\r\n  - fetch = [\"weather\", \"forecast\"]\r\n  - interval = \"10m\"\r\n\r\n\r\nOptional: I added some weather metrics to the dashboard (e.g. cloudiness of the region my PV/inverter is located). Please check https://grafana.com/grafana/dashboards/9710-open-weather-map/ to understand how to get weather metrics via Telegraf to your InfluxDB. I set the parameter to\r\n   fetch = [\"weather\", \"forecast\"]\r\nto get some cloudiness forecast as well, that's why there are two variables (Country and City) to specify your location to get the right one in case you collect weather metrics for more than a single location.\r\n\r\nFeel free to feedback!","collectorType":"Telegraf","collectorConfig":"[[inputs.mqtt_consumer]]\r\nservers = [\"tcp://localhost:1883\"]\r\ntopics = [\r\n\"inverter/#\"\r\n]\r\nqos = 0\r\nconnection_timeout = \"30s\"\r\nusername = \"<username>\"\r\npassword = \"<password>\"\r\ndata_format = \"value\"\r\ndata_type = \"float\"\r\n\r\n[[inputs.openweathermap]]\r\napp_id = \"<your-API-key\"\r\ncity_id = [\"<city1>\", \"<city2>\", \"<city3>\"]\r\nlang = \"de\"\r\nfetch = [\"weather\", \"forecast\"]\r\ninterval = \"10m\"","collectorPluginList":"mqtt_consumer, Other","datasource":"InfluxDB","privacy":"public","createdAt":"2022-09-05T10:27:56.000Z","updatedAt":"2023-02-01T07:57:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16850"},{"rel":"revisions","href":"/dashboards/16850/revisions"},{"rel":"revision","href":"/dashboards/16850/revisions/8"},{"rel":"download","href":"/dashboards/16850/revisions/8/download"},{"rel":"org","href":"/orgs/c1328"},{"rel":"images","href":"/dashboards/16850/images"},{"rel":"thumbnails","href":"/dashboards/16850/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17140,"status":1,"statusCode":"active","orgId":722888,"orgSlug":"viewsion","orgName":"viewsion","slug":"pv-power-ahoy","downloads":398,"revisionId":26335,"revision":1,"name":"PV Power Ahoy","description":"Visualise power metrics coming from AHOY-DTU and OpenWeatherMap ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-10-10T08:08:03.000Z","updatedAt":"2022-10-10T08:08:19.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17140"},{"rel":"revisions","href":"/dashboards/17140/revisions"},{"rel":"revision","href":"/dashboards/17140/revisions/1"},{"rel":"download","href":"/dashboards/17140/revisions/1/download"},{"rel":"org","href":"/orgs/viewsion"},{"rel":"images","href":"/dashboards/17140/images"},{"rel":"thumbnails","href":"/dashboards/17140/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17203,"status":1,"statusCode":"active","orgId":727086,"orgSlug":"trackjumper","orgName":"trackjumper","slug":"pv-power-ahoy","downloads":440,"revisionId":26427,"revision":1,"name":"PV Power Ahoy","description":"Visualise power metrics coming from AHOY-DTU and OpenWeatherMap ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-10-16T17:40:22.000Z","updatedAt":"2022-10-16T17:40:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17203"},{"rel":"revisions","href":"/dashboards/17203/revisions"},{"rel":"revision","href":"/dashboards/17203/revisions/1"},{"rel":"download","href":"/dashboards/17203/revisions/1/download"},{"rel":"org","href":"/orgs/trackjumper"},{"rel":"images","href":"/dashboards/17203/images"},{"rel":"thumbnails","href":"/dashboards/17203/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18715,"status":1,"statusCode":"active","orgId":808279,"orgSlug":"motzki56","orgName":"motzki56","slug":"pv-power-ahoy","downloads":270,"revisionId":28718,"revision":1,"name":"PV Power Ahoy","description":"AHOY-DTU (https://github.com/grindylow/ahoy) delivers power metrics from inverter via MQTT to a MQTT (mosquitto) server. 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The Dashboard consumes data from InfluxDB.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-05-11T13:25:50.000Z","updatedAt":"2023-05-11T13:29:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18715"},{"rel":"revisions","href":"/dashboards/18715/revisions"},{"rel":"revision","href":"/dashboards/18715/revisions/1"},{"rel":"download","href":"/dashboards/18715/revisions/1/download"},{"rel":"org","href":"/orgs/motzki56"},{"rel":"images","href":"/dashboards/18715/images"},{"rel":"thumbnails","href":"/dashboards/18715/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18846,"status":1,"statusCode":"active","orgId":866315,"orgSlug":"mrbond854","orgName":"mrbond854","slug":"pv-power-ahoy","downloads":527,"revisionId":28905,"revision":1,"name":"PV Power Ahoy","description":"AHOY-DTU (https://github.com/grindylow/ahoy) delivers power metrics from inverter via MQTT to a MQTT (mosquitto) server. 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Perfect for real-time torrent monitoring.","readme":"# 📊 qBittorrent Grafana Dashboard\r\n\r\nThis Grafana dashboard provides a complete and real-time visualization of your **qBittorrent** activity using data exposed via the [`martabal/qbittorrent-exporter`](https://github.com/martabal/qbittorrent-exporter) for Prometheus.\r\n\r\n---\r\n\r\n## 🎯 Purpose\r\n\r\nMonitor and analyze your qBittorrent client metrics at a glance:\r\n\r\n- Network throughput (download/upload)\r\n- Torrent activity and status\r\n- Peer statistics (seeders/leechers)\r\n- Tracker health\r\n- Torrent ratios and session stats\r\n- Top performing torrents by popularity\r\n\r\n---\r\n\r\n## 🛠️ Requirements\r\n\r\n- **qBittorrent** running with WebUI enabled  \r\n- **Prometheus** configured to scrape `qbittorrent-exporter`  \r\n- **Grafana** 8+ (tested on 12.x)  \r\n- [`martabal/qbittorrent-exporter`](https://github.com/martabal/qbittorrent-exporter)\r\n\r\n---\r\n\r\n## 📦 Panels Overview\r\n\r\nThis dashboard includes the following panels:\r\n\r\n- **Global Upload Speed**\r\n- **Global Download Speed**\r\n- **Connection Status**\r\n- **qBittorrent Version**\r\n- **All-Time Uploaded & Downloaded Data**\r\n- **Session Upload & Download Stats**\r\n- **Torrent Ratio & Repartition**\r\n- **Cumulative Upload/Download Speed Graph**\r\n- **Torrent States (Pie Chart)**\r\n- **Active Uploading Torrents (Table)**\r\n- **Download/Upload Speed by Torrent**\r\n- **Top 5 Popular Torrents**\r\n- **Leechers & Seeders Stats**\r\n- **Total Torrents Count**\r\n- **Tracker Stats and Status**\r\n- **Categories and Tags**\r\n\r\n---\r\n\r\n## 🔗 References\r\n\r\n- 📦 Exporter Repo: [martabal/qbittorrent-exporter](https://github.com/martabal/qbittorrent-exporter)\r\n- 📘 qBittorrent: [https://www.qbittorrent.org](https://www.qbittorrent.org)\r\n- 📈 Grafana: [https://grafana.com](https://grafana.com)\r\n- 📊 Prometheus: [https://prometheus.io](https://prometheus.io)\r\n\r\n---\r\n\r\nEnjoy clean and powerful torrent monitoring! 🚀","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-07-24T08:49:20.000Z","updatedAt":"2025-08-12T15:35:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23784"},{"rel":"revisions","href":"/dashboards/23784/revisions"},{"rel":"revision","href":"/dashboards/23784/revisions/1"},{"rel":"download","href":"/dashboards/23784/revisions/1/download"},{"rel":"org","href":"/orgs/remag29"},{"rel":"images","href":"/dashboards/23784/images"},{"rel":"thumbnails","href":"/dashboards/23784/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25156,"status":1,"statusCode":"active","orgId":1693711,"orgSlug":"buroa","orgName":"buroa","slug":"qbittorrent-qui-overview","downloads":57,"revisionId":40454,"revision":1,"name":"qBittorrent / QUI Overview","description":"qBittorrent / QUI Overview","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-12T13:11:19.000Z","updatedAt":"2026-04-12T13:11:32.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25156"},{"rel":"revisions","href":"/dashboards/25156/revisions"},{"rel":"revision","href":"/dashboards/25156/revisions/1"},{"rel":"download","href":"/dashboards/25156/revisions/1/download"},{"rel":"org","href":"/orgs/buroa"},{"rel":"images","href":"/dashboards/25156/images"},{"rel":"thumbnails","href":"/dashboards/25156/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15116,"status":1,"statusCode":"active","orgId":553542,"orgSlug":"caseyscarborough","orgName":"caseyscarborough","slug":"qbittorrent-dashboard","downloads":4816,"revisionId":22655,"revision":4,"name":"qBittorrent Dashboard","description":"","readme":"# Grafana Dashboard for qBittorrent\n\nThis repository contains a Grafana dashboard for qBittorrent using Prometheus.\n\nIt integrates with [qbittorrent-exporter](https://github.com/caseyscarborough/qbittorrent-exporter).\n\nView it on [Grafana Community Dashboards](https://grafana.com/grafana/dashboards/15116).\n\n## Features\n\nIt shows the following metrics:\n\n- All time download/upload\n- Session download/upload\n- Cumulative upload/download speeds\n- Global ratio/download speed/upload speed\n- App version\n- Torrent list with statuses\n- Total torrents/seeders/leechers\n- Torrent state chart\n- Amount remaining by torrent\n- Incomplete torrent progress\n- Download/upload speed by torrent\n\n## Requirements\n\nThis dashboard requires [grafana-piechart-panel](https://grafana.com/grafana/plugins/grafana-piechart-panel/) for some panels. You can install by running any of these:\n\n```bash\n# Grafana CLI\ngrafana-cli plugins install grafana-piechart-panel\n\n# Download and unzip manually\nwget -nv https://grafana.com/api/plugins/grafana-piechart-panel/versions/latest/download -O grafana-piechart-panel.zip\nunzip -q grafana-piechart-panel.zip -d .\nmv grafana-piechart-panel /var/lib/grafana/plugins/grafana-piechart-panel\nrm grafana-piechart-panel.zip\n\n# Clone the Git repo\ngit clone https://github.com/grafana/piechart-panel.git --branch release-1.6.1\nmv piechart-panel /var/lib/grafana/plugins/grafana-piechart-panel\n```\n\nRestart your Grafana server after installing the plugin.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-10-16T20:39:50.000Z","updatedAt":"2021-10-18T03:42:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15116"},{"rel":"revisions","href":"/dashboards/15116/revisions"},{"rel":"revision","href":"/dashboards/15116/revisions/4"},{"rel":"download","href":"/dashboards/15116/revisions/4/download"},{"rel":"org","href":"/orgs/caseyscarborough"},{"rel":"images","href":"/dashboards/15116/images"},{"rel":"thumbnails","href":"/dashboards/15116/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23261,"status":1,"statusCode":"active","orgId":1405792,"orgSlug":"alexkhomych","orgName":"alexkhomych","slug":"qbittorrent-dashboard","downloads":287,"revisionId":36946,"revision":2,"name":"qBittorrent Dashboard","description":"Dashboard for qbittorrent_exporter.","readme":"This dashboard integrates with [qbittorrent_exporter](https://github.com/AlexKhomych/qbittorrent_exporter).\r\n\r\n### Metrics Visualization\r\n\r\n- All Time Downloaded/Uploaded\r\n  - Stat panel with total amount of data sent/recv accross sessions.\r\n- Session Downloaded/Uploaded\r\n  -  Stat panel with total amount of data sent/recv during current session.\r\n- Ratio\r\n  - Gauge for Average/Total share ratio accross torrents.\r\n- Version\r\n  - Stat Panel for qBittorrent Version\r\n- Current Seeders/Lecheers\r\n  - Stat panel with sum of seeders/leechers accross torrents.\r\n- Total Torrents\r\n  - Stat panel with sum of torrents.\r\n- Download/Upload Speed\r\n  - Timeseries panel with global download/upload speed.\r\n- Torrents\r\n  - Table that resembles WebUI view.\r\n- Download/Upload Speed by Torrent\r\n  - Timeseries panel with download/upload speed for each torrent.\r\n\r\n## Credis\r\n\r\nInspired by [@caseyscarborough](https://grafana.com/grafana/dashboards/15116-qbittorrent-dashboard)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-17T02:27:09.000Z","updatedAt":"2025-04-21T03:42:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23261"},{"rel":"revisions","href":"/dashboards/23261/revisions"},{"rel":"revision","href":"/dashboards/23261/revisions/2"},{"rel":"download","href":"/dashboards/23261/revisions/2/download"},{"rel":"org","href":"/orgs/alexkhomych"},{"rel":"images","href":"/dashboards/23261/images"},{"rel":"thumbnails","href":"/dashboards/23261/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19298,"status":1,"statusCode":"active","orgId":785507,"orgSlug":"hiroshisakamoto","orgName":"hiroshisakamoto","slug":"qbittorrent-dashboard","downloads":324,"revisionId":29583,"revision":1,"name":"qBittorrent Dashboard","description":"qb","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-08-04T00:42:07.000Z","updatedAt":"2023-08-04T00:42:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19298"},{"rel":"revisions","href":"/dashboards/19298/revisions"},{"rel":"revision","href":"/dashboards/19298/revisions/1"},{"rel":"download","href":"/dashboards/19298/revisions/1/download"},{"rel":"org","href":"/orgs/hiroshisakamoto"},{"rel":"images","href":"/dashboards/19298/images"},{"rel":"thumbnails","href":"/dashboards/19298/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24366,"status":1,"statusCode":"active","orgId":909924,"orgSlug":"mapanarelabs","orgName":"mapanarelabs","slug":"qbittorrent","downloads":63,"revisionId":38968,"revision":1,"name":"qBittorrent Dashboard","description":"Qbittorrent","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-11-10T05:35:41.000Z","updatedAt":"2025-11-10T05:58:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24366"},{"rel":"revisions","href":"/dashboards/24366/revisions"},{"rel":"revision","href":"/dashboards/24366/revisions/1"},{"rel":"download","href":"/dashboards/24366/revisions/1/download"},{"rel":"org","href":"/orgs/mapanarelabs"},{"rel":"images","href":"/dashboards/24366/images"},{"rel":"thumbnails","href":"/dashboards/24366/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23341,"status":1,"statusCode":"active","orgId":233058,"orgSlug":"duchenpaul","orgName":"duchenpaul","slug":"qbittorrent-dashboard","downloads":428,"revisionId":37087,"revision":3,"name":"qBittorrent Dashboard","description":"","readme":"Inspired by [caseyscarborough's qBittorrent Dashboard\r\n](https://grafana.com/grafana/dashboards/15116-qbittorrent-dashboard/), improved legends print so that it can support multiple instances\r\n\r\nGrafana Dashboard for qBittorrent\r\n---------------------------------\r\n\r\nThis repository contains a Grafana dashboard for qBittorrent using Prometheus.\r\n\r\nIt integrates with [qbittorrent-exporter](https://github.com/caseyscarborough/qbittorrent-exporter).\r\n\r\nView it on [Grafana Community Dashboards](/grafana/dashboards/15116).\r\n\r\nFeatures\r\n--------\r\n\r\nIt shows the following metrics:\r\n\r\n*   All time download/upload\r\n*   Session download/upload\r\n*   Cumulative upload/download speeds\r\n*   Global ratio/download speed/upload speed\r\n*   App version\r\n*   Torrent list with statuses\r\n*   Total torrents/seeders/leechers\r\n*   Torrent state chart\r\n*   Amount remaining by torrent\r\n*   Incomplete torrent progress\r\n*   Download/upload speed by torrent\r\n\r\nRequirements\r\n------------\r\n\r\nThis dashboard requires [grafana-piechart-panel](/grafana/plugins/grafana-piechart-panel/) for some panels. You can install by running any of these:\r\n```bash\r\n# Grafana CLI\r\ngrafana-cli plugins install grafana-piechart-panel\r\n\r\n# Download and unzip manually\r\nwget -nv https://grafana.com/api/plugins/grafana-piechart-panel/versions/latest/download -O grafana-piechart-panel.zip\r\nunzip -q grafana-piechart-panel.zip -d .\r\nmv grafana-piechart-panel /var/lib/grafana/plugins/grafana-piechart-panel\r\nrm grafana-piechart-panel.zip\r\n\r\n# Clone the Git repo\r\ngit clone https://github.com/grafana/piechart-panel.git --branch release-1.6.1\r\nmv piechart-panel /var/lib/grafana/plugins/grafana-piechart-panel\r\n```\r\nRestart your Grafana server after installing the plugin.\r\n\r\nConfiguration\r\n-------------\r\nIn `prometheus.yaml`, add the following configuration to scrape the exporter:\r\n\r\n```yaml\r\n  - job_name: \"qbittorrent\"\r\n    static_configs:\r\n      - targets: [\"192.168.31.217:17871\"]\r\n        labels:\r\n          group: \"uranus-comet\"\r\n      - targets: [\"10.144.244.20:17871\"]\r\n        labels:\r\n          group: \"pluto\"\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-26T08:55:35.000Z","updatedAt":"2025-05-02T06:46:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23341"},{"rel":"revisions","href":"/dashboards/23341/revisions"},{"rel":"revision","href":"/dashboards/23341/revisions/3"},{"rel":"download","href":"/dashboards/23341/revisions/3/download"},{"rel":"org","href":"/orgs/duchenpaul"},{"rel":"images","href":"/dashboards/23341/images"},{"rel":"thumbnails","href":"/dashboards/23341/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24074,"status":1,"statusCode":"active","orgId":1244873,"orgSlug":"novakmartin1997","orgName":"novakmartin1997","slug":"qdrant","downloads":951,"revisionId":38401,"revision":1,"name":"Qdrant","description":"Basic dashboard for Qdrant DB","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2025-09-15T22:53:10.000Z","updatedAt":"2025-09-15T22:58:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24074"},{"rel":"revisions","href":"/dashboards/24074/revisions"},{"rel":"revision","href":"/dashboards/24074/revisions/1"},{"rel":"download","href":"/dashboards/24074/revisions/1/download"},{"rel":"org","href":"/orgs/novakmartin1997"},{"rel":"images","href":"/dashboards/24074/images"},{"rel":"thumbnails","href":"/dashboards/24074/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":24603,"status":1,"statusCode":"active","orgId":1194183,"orgSlug":"rexdivakar","orgName":"rexdivakar","slug":"qdrant-prometheus-metrics-only-by-divakar-r","downloads":610,"revisionId":39420,"revision":1,"name":"Qdrant Dashboard (Prometheus metrics only)","description":"Qdrant (Prometheus metrics only) — status, REST/gRPC usage, collections, snapshots, resources (no cAdvisor/node-exporter). Maintained by Divakar R.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-12-25T03:44:17.000Z","updatedAt":"2025-12-25T03:52:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24603"},{"rel":"revisions","href":"/dashboards/24603/revisions"},{"rel":"revision","href":"/dashboards/24603/revisions/1"},{"rel":"download","href":"/dashboards/24603/revisions/1/download"},{"rel":"org","href":"/orgs/rexdivakar"},{"rel":"images","href":"/dashboards/24603/images"},{"rel":"thumbnails","href":"/dashboards/24603/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25152,"status":1,"statusCode":"active","orgId":1645666,"orgSlug":"baselmathar","orgName":"baselmathar","slug":"qdrant-observatory","downloads":130,"revisionId":40447,"revision":1,"name":"Qdrant Observatory","description":"Per-collection, per-shard, cluster health and search performance for self-hosted Qdrant. Powered by qdrant-exporter.","readme":"# Qdrant Observatory — Grafana Dashboard\r\n\r\nA full observability dashboard for **self-hosted Qdrant** — surfaces per-collection, per-shard, cluster health, and search performance metrics that Qdrant's native `/metrics` endpoint doesn't expose.\r\n\r\nPowered by [qdrant-exporter](https://github.com/baselhusam/qdrant_exporter), an open-source Prometheus exporter that reads from Qdrant's `/telemetry` and `/cluster` JSON endpoints and converts them into Prometheus metrics.\r\n\r\n---\r\n\r\n## What's in this dashboard\r\n\r\n**29 panels across 4 rows:**\r\n\r\n| Row | What it shows |\r\n|---|---|\r\n| Command Center | Total collections, vectors, points, memory usage, cluster status |\r\n| Collections | Per-collection vector counts, indexed ratio, shard states, optimizer status |\r\n| Performance | Search rate by type, average latency, optimizer activity, deleted vectors |\r\n| Cluster | Raft term/commit, peer count, active shard transfers, resharding operations |\r\n\r\n**Key metrics not available in native Qdrant `/metrics`:**\r\n\r\n- Vectors and points per collection\r\n- Indexed vectors ratio — below 1.0 means searches may fall back to brute force\r\n- Live optimizer state per collection\r\n- Search latency broken down by search path type (HNSW, plain, filtered, exact, sparse)\r\n- Shard transfer progress\r\n- Raft consensus health\r\n\r\n---\r\n\r\n## Requirements\r\n\r\n- Grafana 10+\r\n- Prometheus scraping [qdrant-exporter](https://github.com/baselhusam/qdrant_exporter) on port `9153`\r\n- Qdrant v1.7.0+ (fully tested on v1.13.0 – v1.17.1)\r\n\r\n---\r\n\r\n## Setup\r\n\r\nThe easiest way is via the bundled Docker Compose in the exporter repo — one command gives you Qdrant, the exporter, Prometheus, and this dashboard fully wired:\r\n\r\n```bash\r\n# Full stack from scratch\r\ndocker compose --profile fullstack up -d\r\n\r\n# Or attach to an existing Qdrant on localhost:6333\r\ndocker compose --profile monitoring up -d\r\n```\r\n\r\nGrafana opens at `http://localhost:3000` (admin / admin) with the dashboard auto-provisioned.\r\n\r\nFor manual setup, import `qdrant-overview.json` and point the `DS_PROMETHEUS` input at the Prometheus instance that scrapes qdrant-exporter.\r\n\r\n---\r\n\r\n## Links\r\n\r\n- **Exporter repo:** https://github.com/baselhusam/qdrant_exporter\r\n- **Qdrant docs:** https://qdrant.tech/documentation","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-11T17:15:24.000Z","updatedAt":"2026-04-12T18:26:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25152"},{"rel":"revisions","href":"/dashboards/25152/revisions"},{"rel":"revision","href":"/dashboards/25152/revisions/1"},{"rel":"download","href":"/dashboards/25152/revisions/1/download"},{"rel":"org","href":"/orgs/baselmathar"},{"rel":"images","href":"/dashboards/25152/images"},{"rel":"thumbnails","href":"/dashboards/25152/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9330,"status":1,"statusCode":"active","orgId":218814,"orgSlug":"poil","orgName":"poil","slug":"qnap-snmp","downloads":1029,"revisionId":12888,"revision":1,"name":"QNAP - Snmp","description":"Simple QNAP Dashboard\r\n* System CPU and Memory Usage\r\n* Volume Size\r\n* Network stats\r\n* Cache Stats (if a SSD Cache card is present)\r\n* System and Disks temperature","readme":"Use snmp_exporter with a configuration generated from this generator.yml\r\n\r\n```yaml\r\nmodules:\r\n  qnap:\r\n    walk:\r\n      - cpuUsage\r\n      - systemCPU-UsageEX\r\n      - cpu-TemperatureEX\r\n      - systemTemperatureEX\r\n      - enclosureSystemTemp\r\n      - hdTemperatureEX\r\n      - diskSmartInfo\r\n      - ifPacketsReceivedEX\r\n      - ifPacketsSentEX\r\n      - sysVolumeTotalSizeEX\r\n      - sysVolumeFreeSizeEX\r\n      - systemTotalMemEX\r\n      - systemFreeMemEX\r\n      - availablePercent\r\n      - readHitRate\r\n      - writeHitRate\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-12-03T14:30:48.000Z","updatedAt":"2018-12-03T14:34:49.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/9330"},{"rel":"revisions","href":"/dashboards/9330/revisions"},{"rel":"revision","href":"/dashboards/9330/revisions/1"},{"rel":"download","href":"/dashboards/9330/revisions/1/download"},{"rel":"org","href":"/orgs/poil"},{"rel":"images","href":"/dashboards/9330/images"},{"rel":"thumbnails","href":"/dashboards/9330/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18229,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"qnap-dashboard-telegraf-snmp-influxdb","downloads":1239,"revisionId":29611,"revision":3,"name":"QNAP Dashboard - Telegraf SNMP - InfluxDB","description":"Grafana Dashboard for QNAP Devices, collecting SNMP using Telegraf, and InfluxDB","readme":"QNAP Dashboard using SNMP v3. To collect data, I've used the always helpful telegraf SNMP plugin https://github.com/influxdata/telegraf/blob/master/plugins/inputs/snmp/README.md use the collector instructions from above ^\r\n\r\nI've added all the variables to the Dashboard. The Grafana dashboard it should work out of the box; perhaps if you do not have NVMe disks, the #1 and #2 will be wrongly tagged, fix that widget if required.\r\n\r\nIt will work with SNMP v1/v2 as well, but I totally do not recommend it, stay safe and secure.\r\n\r\nCollector config:\r\n```[[inputs.snmp]]\r\n   # List of agents to poll\r\n   agents = [ \"YOURQNAPIP\" ]\r\n   # Polling interval\r\n   interval = \"30s\"\r\n   # Timeout for each SNMP query.\r\n   timeout = \"30s\"\r\n   # Number of retries to attempt within timeout.\r\n   retries = 3\r\n   # The GETBULK max-repetitions parameter\r\n   max_repetitions = 10\r\n   # Measurement name\r\n   name = \"snmp.QNAP\"\r\n   #SNMPv3\r\n   version = 3\r\n   sec_name = \"YOURUSERNAME\"\r\n   auth_protocol = \"SHA\"\r\n   auth_password = \"YOURPASS\"\r\n   sec_level = \"authPriv\"\r\n   priv_protocol = \"DES\"\r\n   priv_password = \"YOUROTHERPASS\"\r\n\r\n\r\n  ##\r\n  ## System Details & Metrics\r\n  ##\r\n  # CPU\r\n  [[inputs.snmp.field]]\r\n  name = \"name\"\r\n  oid = \"NAS-MIB::enclosureName.1\"\r\n  is_tag = true\r\n\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.cpuTable\"\r\n    oid = \"NAS-MIB::cpuTable\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"cpuIndex\"\r\n      oid = \"NAS-MIB::cpuIndex\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"cpuID\"\r\n      oid = \"NAS-MIB::cpuID\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"cpuUsage\"\r\n      oid = \"NAS-MIB::cpuUsage\"\r\n\r\n  #  System\r\n  #  Enclosures\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.systemTable\"\r\n  # Memory\r\n  [[inputs.snmp.table.field]]\r\n    name = \"systemTotalMemEX\"\r\n    oid = \"NAS-MIB::systemTotalMemEX\"\r\n  [[inputs.snmp.table.field]]\r\n    name = \"systemFreeMemEX\"\r\n    oid = \"NAS-MIB::systemFreeMemEX\"\r\n  # System temp\r\n  [[inputs.snmp.table.field]]\r\n    name = \"cpu-TemperatureEX\"\r\n    oid = \"NAS-MIB::cpu-TemperatureEX\"\r\n  [[inputs.snmp.table.field]]\r\n    name = \"systemTemperatureEX\"\r\n    oid = \"NAS-MIB::systemTemperatureEX\"\r\n  # Uptime\r\n  [[inputs.snmp.table.field]]\r\n    name = \"systemUptime\"\r\n    oid = \"NAS-MIB::systemUptimeEX\"\r\n  # Uptime\r\n  [[inputs.snmp.table.field]]\r\n    name = \"systemCPU-UsageEX\"\r\n    oid = \"NAS-MIB::systemCPU-UsageEX\"\r\n\r\n  #  Enclosures\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.enclosureTable\"\r\n    oid = \"NAS-MIB::enclosureTable\"\r\n    # Memory\r\n    [[inputs.snmp.table.field]]\r\n      name = \"enclosureID\"\r\n      oid = \"NAS-MIB::enclosureID\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"enclosureModel\"\r\n      oid = \"NAS-MIB::enclosureModel\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"enclosureName\"\r\n      oid = \"NAS-MIB::enclosureName\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"enclosureSystemTemp\"\r\n      oid = \"NAS-MIB::enclosureSystemTemp\"\r\n\r\n  #  Fan\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.systemFanTableEx\"\r\n    oid = \"NAS-MIB::systemFanTableEx\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"sysFanIndexEX\"\r\n      oid = \"NAS-MIB::sysFanIndexEX\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"sysFanDescrEX\"\r\n      oid = \"NAS-MIB::sysFanDescrEX\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"sysFanSpeedEX\"\r\n      oid = \"NAS-MIB::sysFanSpeedEX\"\r\n\r\n  #  Power\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.systemPowerTable\"\r\n    oid = \"NAS-MIB::systemPowerTable\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"systemPowerIndex\"\r\n      oid = \"NAS-MIB::systemPowerIndex\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"systemPowerID\"\r\n      oid = \"NAS-MIB::systemPowerID\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"systemPowerEnclosureID\"\r\n      oid = \"NAS-MIB::systemPowerEnclosureID\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"systemPowerStatus\"\r\n      oid = \"NAS-MIB::systemPowerStatus\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"systemPowerFanSpeed\"\r\n      oid = \"NAS-MIB::systemPowerFanSpeed\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"systemPowerFanSpeed\"\r\n      oid = \"NAS-MIB::systemPowerFanSpeed\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"systemPowerTemp\"\r\n      oid = \"NAS-MIB::systemPowerTemp\"\r\n\r\n  #  Interfaces\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.systemIfTableEx\"\r\n    oid = \"NAS-MIB::systemIfTableEx\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifIndexEX\"\r\n      oid = \"NAS-MIB::ifIndexEX\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifDescrEX\"\r\n      oid = \"NAS-MIB::ifDescrEX\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifPacketsReceivedEX\"\r\n      oid = \"NAS-MIB::ifPacketsReceivedEX\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifPacketsSentEX\"\r\n      oid = \"NAS-MIB::ifPacketsSentEX\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifErrorPacketsEX\"\r\n      oid = \"NAS-MIB::ifErrorPacketsEX\"\r\n\r\n  #  Interfaces\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.ifXTable\"\r\n    oid = \"IF-MIB::ifXTable\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifName\"\r\n      oid = \"IF-MIB::ifName\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifHCInOctets\"\r\n      oid = \"IF-MIB::ifHCInOctets\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifHCOutOctets\"\r\n      oid = \"IF-MIB::ifHCOutOctets\"\r\n\r\n  ##\r\n  ## Disk Details & Metrics\r\n  ##\r\n  #  Disk\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.diskTable\"\r\n    oid = \"NAS-MIB::diskTable\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskIndex\"\r\n      oid = \"NAS-MIB::diskIndex\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskID\"\r\n      oid = \"NAS-MIB::diskID\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskEnclosureID\"\r\n      oid = \"NAS-MIB::diskEnclosureID\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskSummary\"\r\n      oid = \"NAS-MIB::diskSummary\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskTemperture\"\r\n      oid = \"NAS-MIB::diskTemperture\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskSmartInfo\"\r\n      oid = \"NAS-MIB::diskSmartInfo\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskGlobalSpare\"\r\n      oid = \"NAS-MIB::diskGlobalSpare\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskModel\"\r\n      oid = \"NAS-MIB::diskModel\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskCapacity\"\r\n      oid = \"NAS-MIB::diskCapacity\"\r\n      is_tag = true\r\n\r\n  ##\r\n  ## Volume Details & Metrics\r\n  ##\r\n  #  Volumes\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.systemVolumeTableEx\"\r\n    oid = \"NAS-MIB::systemVolumeTableEx\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"sysVolumeIndexEX\"\r\n      oid = \"NAS-MIB::sysVolumeIndexEX\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"sysVolumeDescrEX\"\r\n      oid = \"NAS-MIB::sysVolumeDescrEX\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"sysVolumeFSEX\"\r\n      oid = \"NAS-MIB::sysVolumeFSEX\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"sysVolumeTotalSizeEX\"\r\n      oid = \"NAS-MIB::sysVolumeTotalSize\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"sysVolumeFreeSize\"\r\n      oid = \"NAS-MIB::sysVolumeFreeSizeEX\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"sysVolumeStatus\"\r\n      oid = \"NAS-MIB::sysVolumeStatusEX\"\r\n\r\n  ##\r\n  ## Disk Performance Details & Metrics\r\n  ##\r\n  #  Disk Performance\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.diskPerformanceTable\"\r\n    oid = \"NAS-MIB::diskPerformanceTable\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskPerformanceIndex\"\r\n      oid = \"NAS-MIB::diskPerformanceIndex\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"blvID\"\r\n      oid = \"NAS-MIB::blvID\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"iops\"\r\n      oid = \"NAS-MIB::iops\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"latency\"\r\n      oid = \"NAS-MIB::latency\"\r\n\r\n  #  JBOD\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.jBODHdTable1\"\r\n    oid = \"NAS-MIB::jBODHdTable1\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"jBODHdIndex1\"\r\n      oid = \"NAS-MIB::jBODHdIndex1\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"jBODHdDescr1\"\r\n      oid = \"NAS-MIB::jBODHdDescr1\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"jBODHdTemperature1\"\r\n      oid = \"NAS-MIB::sysVolumeFSEX\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"jBODHdStatus1\"\r\n      oid = \"NAS-MIB::jBODHdStatus1\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"jBODHdModel1\"\r\n      oid = \"NAS-MIB::jBODHdModel1\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"jBODHdCapacity1 \"\r\n      oid = \"NAS-MIB::jBODHdCapacity1\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"jBODHdSmartInfo1\"\r\n      oid = \"NAS-MIB::jBODHdSmartInfo1\"```","collectorType":"Telegraf","collectorConfig":"```[[inputs.snmp]]\r\n   # List of agents to poll\r\n   agents = [ \"YOURQNAPIP\" ]\r\n   # Polling interval\r\n   interval = \"30s\"\r\n   # Timeout for each SNMP query.\r\n   timeout = \"30s\"\r\n   # Number of retries to attempt within timeout.\r\n   retries = 3\r\n   # The GETBULK max-repetitions parameter\r\n   max_repetitions = 10\r\n   # Measurement name\r\n   name = \"snmp.QNAP\"\r\n   #SNMPv3\r\n   version = 3\r\n   sec_name = \"YOURUSERNAME\"\r\n   auth_protocol = \"SHA\"\r\n   auth_password = \"YOURPASS\"\r\n   sec_level = \"authPriv\"\r\n   priv_protocol = \"DES\"\r\n   priv_password = \"YOUROTHERPASS\"\r\n\r\n\r\n  ##\r\n  ## System Details & Metrics\r\n  ##\r\n  # CPU\r\n  [[inputs.snmp.field]]\r\n  name = \"name\"\r\n  oid = \"NAS-MIB::enclosureName.1\"\r\n  is_tag = true\r\n\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.cpuTable\"\r\n    oid = \"NAS-MIB::cpuTable\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"cpuIndex\"\r\n      oid = \"NAS-MIB::cpuIndex\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"cpuID\"\r\n      oid = \"NAS-MIB::cpuID\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"cpuUsage\"\r\n      oid = \"NAS-MIB::cpuUsage\"\r\n\r\n  #  System\r\n  #  Enclosures\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.systemTable\"\r\n  # Memory\r\n  [[inputs.snmp.table.field]]\r\n    name = \"systemTotalMemEX\"\r\n    oid = \"NAS-MIB::systemTotalMemEX\"\r\n  [[inputs.snmp.table.field]]\r\n    name = \"systemFreeMemEX\"\r\n    oid = \"NAS-MIB::systemFreeMemEX\"\r\n  # System temp\r\n  [[inputs.snmp.table.field]]\r\n    name = \"cpu-TemperatureEX\"\r\n    oid = \"NAS-MIB::cpu-TemperatureEX\"\r\n  [[inputs.snmp.table.field]]\r\n    name = \"systemTemperatureEX\"\r\n    oid = \"NAS-MIB::systemTemperatureEX\"\r\n  # Uptime\r\n  [[inputs.snmp.table.field]]\r\n    name = \"systemUptime\"\r\n    oid = \"NAS-MIB::systemUptimeEX\"\r\n  # Uptime\r\n  [[inputs.snmp.table.field]]\r\n    name = \"systemCPU-UsageEX\"\r\n    oid = \"NAS-MIB::systemCPU-UsageEX\"\r\n\r\n  #  Enclosures\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.enclosureTable\"\r\n    oid = \"NAS-MIB::enclosureTable\"\r\n    # Memory\r\n    [[inputs.snmp.table.field]]\r\n      name = \"enclosureID\"\r\n      oid = \"NAS-MIB::enclosureID\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"enclosureModel\"\r\n      oid = \"NAS-MIB::enclosureModel\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"enclosureName\"\r\n      oid = \"NAS-MIB::enclosureName\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"enclosureSystemTemp\"\r\n      oid = \"NAS-MIB::enclosureSystemTemp\"\r\n\r\n  #  Fan\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.systemFanTableEx\"\r\n    oid = \"NAS-MIB::systemFanTableEx\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"sysFanIndexEX\"\r\n      oid = \"NAS-MIB::sysFanIndexEX\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"sysFanDescrEX\"\r\n      oid = \"NAS-MIB::sysFanDescrEX\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"sysFanSpeedEX\"\r\n      oid = \"NAS-MIB::sysFanSpeedEX\"\r\n\r\n  #  Power\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.systemPowerTable\"\r\n    oid = \"NAS-MIB::systemPowerTable\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"systemPowerIndex\"\r\n      oid = \"NAS-MIB::systemPowerIndex\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"systemPowerID\"\r\n      oid = \"NAS-MIB::systemPowerID\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"systemPowerEnclosureID\"\r\n      oid = \"NAS-MIB::systemPowerEnclosureID\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"systemPowerStatus\"\r\n      oid = \"NAS-MIB::systemPowerStatus\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"systemPowerFanSpeed\"\r\n      oid = \"NAS-MIB::systemPowerFanSpeed\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"systemPowerFanSpeed\"\r\n      oid = \"NAS-MIB::systemPowerFanSpeed\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"systemPowerTemp\"\r\n      oid = \"NAS-MIB::systemPowerTemp\"\r\n\r\n  #  Interfaces\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.systemIfTableEx\"\r\n    oid = \"NAS-MIB::systemIfTableEx\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifIndexEX\"\r\n      oid = \"NAS-MIB::ifIndexEX\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifDescrEX\"\r\n      oid = \"NAS-MIB::ifDescrEX\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifPacketsReceivedEX\"\r\n      oid = \"NAS-MIB::ifPacketsReceivedEX\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifPacketsSentEX\"\r\n      oid = \"NAS-MIB::ifPacketsSentEX\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifErrorPacketsEX\"\r\n      oid = \"NAS-MIB::ifErrorPacketsEX\"\r\n\r\n  #  Interfaces\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.ifXTable\"\r\n    oid = \"IF-MIB::ifXTable\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifName\"\r\n      oid = \"IF-MIB::ifName\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifHCInOctets\"\r\n      oid = \"IF-MIB::ifHCInOctets\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifHCOutOctets\"\r\n      oid = \"IF-MIB::ifHCOutOctets\"\r\n\r\n  ##\r\n  ## Disk Details & Metrics\r\n  ##\r\n  #  Disk\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.diskTable\"\r\n    oid = \"NAS-MIB::diskTable\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskIndex\"\r\n      oid = \"NAS-MIB::diskIndex\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskID\"\r\n      oid = \"NAS-MIB::diskID\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskEnclosureID\"\r\n      oid = \"NAS-MIB::diskEnclosureID\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskSummary\"\r\n      oid = \"NAS-MIB::diskSummary\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskTemperture\"\r\n      oid = \"NAS-MIB::diskTemperture\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskSmartInfo\"\r\n      oid = \"NAS-MIB::diskSmartInfo\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskGlobalSpare\"\r\n      oid = \"NAS-MIB::diskGlobalSpare\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskModel\"\r\n      oid = \"NAS-MIB::diskModel\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskCapacity\"\r\n      oid = \"NAS-MIB::diskCapacity\"\r\n      is_tag = true\r\n\r\n  ##\r\n  ## Volume Details & Metrics\r\n  ##\r\n  #  Volumes\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.systemVolumeTableEx\"\r\n    oid = \"NAS-MIB::systemVolumeTableEx\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"sysVolumeIndexEX\"\r\n      oid = \"NAS-MIB::sysVolumeIndexEX\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"sysVolumeDescrEX\"\r\n      oid = \"NAS-MIB::sysVolumeDescrEX\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"sysVolumeFSEX\"\r\n      oid = \"NAS-MIB::sysVolumeFSEX\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"sysVolumeTotalSizeEX\"\r\n      oid = \"NAS-MIB::sysVolumeTotalSize\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"sysVolumeFreeSize\"\r\n      oid = \"NAS-MIB::sysVolumeFreeSizeEX\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"sysVolumeStatus\"\r\n      oid = \"NAS-MIB::sysVolumeStatusEX\"\r\n\r\n  ##\r\n  ## Disk Performance Details & Metrics\r\n  ##\r\n  #  Disk Performance\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.diskPerformanceTable\"\r\n    oid = \"NAS-MIB::diskPerformanceTable\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"diskPerformanceIndex\"\r\n      oid = \"NAS-MIB::diskPerformanceIndex\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"blvID\"\r\n      oid = \"NAS-MIB::blvID\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"iops\"\r\n      oid = \"NAS-MIB::iops\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"latency\"\r\n      oid = \"NAS-MIB::latency\"\r\n\r\n  #  JBOD\r\n  [[inputs.snmp.table]]\r\n    name = \"snmp.QNAP.jBODHdTable1\"\r\n    oid = \"NAS-MIB::jBODHdTable1\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"jBODHdIndex1\"\r\n      oid = \"NAS-MIB::jBODHdIndex1\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"jBODHdDescr1\"\r\n      oid = \"NAS-MIB::jBODHdDescr1\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"jBODHdTemperature1\"\r\n      oid = \"NAS-MIB::sysVolumeFSEX\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"jBODHdStatus1\"\r\n      oid = \"NAS-MIB::jBODHdStatus1\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"jBODHdModel1\"\r\n      oid = \"NAS-MIB::jBODHdModel1\"\r\n      is_tag = true\r\n    [[inputs.snmp.table.field]]\r\n      name = \"jBODHdCapacity1 \"\r\n      oid = \"NAS-MIB::jBODHdCapacity1\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"jBODHdSmartInfo1\"\r\n      oid = \"NAS-MIB::jBODHdSmartInfo1\"```","collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2023-03-06T10:51:54.000Z","updatedAt":"2023-08-07T19:25:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18229"},{"rel":"revisions","href":"/dashboards/18229/revisions"},{"rel":"revision","href":"/dashboards/18229/revisions/3"},{"rel":"download","href":"/dashboards/18229/revisions/3/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/18229/images"},{"rel":"thumbnails","href":"/dashboards/18229/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22250,"status":1,"statusCode":"active","orgId":1270140,"orgSlug":"bartoszsosnowski","orgName":"bartoszsosnowski","slug":"qnap-nas","downloads":560,"revisionId":34964,"revision":1,"name":"Qnap NAS","description":"Grafana dashboard designed for monitoring QNAP NAS systems using Telegraf with SNMP input and Prometheus storage.","readme":"This Grafana dashboard is designed to monitor QNAP NAS systems using Telegraf with SNMP input and Prometheus database. It provides real-time insights and metrics to ensure optimal performance and health of your network attached storage.\r\n\r\nIt uses Telegraf with SNMP input to collect detailed hardware and system metrics from your QNAP NAS and send them to Prometheus.\r\n\r\nDashboards also support viewing logs from Loki, but currently, you need to send logs from Qnap to Loki yourself.\r\n\r\nHelm chart is provided for the collector and Grafana dashboard.\r\n\r\nLink to the source code:\r\nhttps://github.com/bsosnowski/qnap-exporter","collectorType":"Telegraf","collectorConfig":"The configuration is generated as part of the Helm Chart (see Github repository link).","collectorPluginList":"snmp, prometheus","datasource":"Loki, Prometheus","privacy":"public","createdAt":"2024-11-10T00:11:06.000Z","updatedAt":"2024-11-10T00:26:50.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22250"},{"rel":"revisions","href":"/dashboards/22250/revisions"},{"rel":"revision","href":"/dashboards/22250/revisions/1"},{"rel":"download","href":"/dashboards/22250/revisions/1/download"},{"rel":"org","href":"/orgs/bartoszsosnowski"},{"rel":"images","href":"/dashboards/22250/images"},{"rel":"thumbnails","href":"/dashboards/22250/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":18842,"status":1,"statusCode":"active","orgId":518670,"orgSlug":"marjanmesgarani","orgName":"marjanmesgarani","slug":"qnap-nas-storage","downloads":401,"revisionId":28898,"revision":1,"name":"QNAP SNMP","description":"A dashboard for visualizing collected QNAP NAS Storage data from the target's SNMP port using Telegraf.","readme":"Telegraf configuration file available on GitHub: https://github.com/marjan-mesgarani/Telegraf-Config-Files/tree/main/QNAP","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2023-05-26T19:15:36.000Z","updatedAt":"2023-05-26T19:31:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18842"},{"rel":"revisions","href":"/dashboards/18842/revisions"},{"rel":"revision","href":"/dashboards/18842/revisions/1"},{"rel":"download","href":"/dashboards/18842/revisions/1/download"},{"rel":"org","href":"/orgs/marjanmesgarani"},{"rel":"images","href":"/dashboards/18842/images"},{"rel":"thumbnails","href":"/dashboards/18842/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24471,"status":1,"statusCode":"active","orgId":505350,"orgSlug":"gosterm","orgName":"gosterm","slug":"qnap-snmp","downloads":43,"revisionId":39152,"revision":1,"name":"QNAP SNMP","description":"A dashboard for visualizing collected QNAP NAS Storage data from the target's SNMP port using Telegraf.","readme":"","collectorType":"Telegraf","collectorConfig":"###############################################################################\r\n#                                  INPUTS                                     #\r\n###############################################################################\r\n\r\n[[inputs.snmp]]\r\n   # List of agents to poll\r\n   agents = [\"xxxxxxx\"]\r\n   name_override = \"qnap_snmp\"\r\n   # Polling interval\r\n   version = 1\r\n   timeout = \"30s\"\r\n  ## SNMP community string.\r\n   community = \"xxxxxxxxxx\"\r\n\r\n# ##########  QNAP Information  ##########\r\n\r\n [[inputs.snmp.field]]\r\n   name = \"system_uptime\"\r\n   oid = \".1.3.6.1.4.1.24681.1.2.4.0\"\r\n\r\n [[inputs.snmp.field]]\r\n   name = \"model_name\"\r\n   oid = \".1.3.6.1.4.1.24681.1.2.12.0\"\r\n\r\n [[inputs.snmp.field]]\r\n   name = \"host_name\"\r\n   oid = \".1.3.6.1.4.1.24681.1.2.13.0\"\r\n\r\n\r\n  # Optional: Add a tag for the source device\r\n  [[inputs.snmp.field]]\r\n    oid = \"SNMPv2-MIB::sysName.0\"\r\n    name = \"source\"\r\n    is_tag = true\r\n\r\n# ##########  QNAP Network  ##########\r\n\r\n [[inputs.snmp.field]]\r\n   name = \"if_number\"\r\n   oid = \".1.3.6.1.4.1.24681.1.2.8.0\"\r\n\r\n [[inputs.snmp.table]]\r\n   name = \"system_if_table\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"if_index\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.9.1.1\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"if_desc\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.9.1.2\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"if_packets_in\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.9.1.3\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"if_packets_out\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.9.1.4\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"if_error_packets\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.9.1.5\"\r\n\r\n# ##########  QNAP Hard Disk  ##########\r\n\r\n [[inputs.snmp.field]]\r\n   name = \"hd_number\"\r\n   oid = \".1.3.6.1.4.1.24681.1.2.10.0\"\r\n\r\n  # Optional: Add a tag for the source device\r\n  [[inputs.snmp.field]]\r\n    oid = \"SNMPv2-MIB::sysName.0\"\r\n    name = \"source\"\r\n    is_tag = true\r\n\r\n  # Collect the entire diskIOTable for all disks\r\n  [[inputs.snmp.table]]\r\n    # Table OID for UCD-DISKIO-MIB disk IO metrics\r\n    oid = \"UCD-DISKIO-MIB::diskIOTable\"\r\n\r\n    # Optional: Inherit tags like 'source'\r\n    inherit_tags = [\"source\"]\r\n\r\n    # Set diskIODevice as a tag for identifying specific disks (e.g., sda, md0)\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UCD-DISKIO-MIB::diskIODevice\"\r\n      is_tag = true\r\n\r\n [[inputs.snmp.table]]\r\n   name = \"system_hd_table\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"hd_index\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.11.1.1\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"hd_desc\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.11.1.2\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"hd_temperature\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.11.1.3\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"hd_status\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.11.1.4\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"hd_model\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.11.1.5\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"hd_capacity\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.11.1.6\"\r\n\t \r\n\t    [[inputs.snmp.table.field]]\r\n     name = \"hd_smart_info\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.11.1.7\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"hd_iops\"\r\n     oid = \".1.3.6.1.4.1.24681.1.4.1.11.5.6.2.1.3\"\r\n\r\n# ##########  QNAP Fan  ##########\r\n\r\n [[inputs.snmp.field]]\r\n   name = \"fan_number\"\r\n   oid = \".1.3.6.1.4.1.24681.1.2.14.0\"\r\n\r\n [[inputs.snmp.table]]\r\n   name = \"system_fan_table\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"fan_index\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.15.1.1\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"fan_desc\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.15.1.2\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"fan_speed\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.15.1.3\"\r\n\r\n# ##########  QNAP Volume  ##########\r\n [[inputs.snmp.field]]\r\n   name = \"volume_number\"\r\n   oid = \".1.3.6.1.4.1.24681.1.2.16.0\"\r\n\r\n [[inputs.snmp.table]]\r\n   name = \"system_volume_table\"\r\n#  oid = \".1.3.6.1.4.1.24681.1.2.17\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"volume_index\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.17.1.1\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"volume_desc\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.17.1.2\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"volume_file_system\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.17.1.3\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"volume_total_size\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.17.1.4\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"volume_free_size\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.17.1.5\"\r\n\r\n   [[inputs.snmp.table.field]]\r\n     name = \"volume_status\"\r\n     oid = \".1.3.6.1.4.1.24681.1.2.17.1.6\"\r\n\t \r\n\t ##########\r\n[[inputs.snmp.table]]\r\n  name = \"hr_storage\"\r\n  oid  = \".1.3.6.1.2.1.25.2.3\"\r\n\r\n  [[inputs.snmp.table.field]]\r\n    name = \"hrStorageType\"\r\n    oid  = \".1.3.6.1.2.1.25.2.3.1.2\"\r\n\r\n  [[inputs.snmp.table.field]]\r\n    name = \"hrStorageDescr\"\r\n    oid  = \".1.3.6.1.2.1.25.2.3.1.3\"\r\n\r\n  [[inputs.snmp.table.field]]\r\n    name = \"hrStorageAllocationUnits\"\r\n    oid  = \".1.3.6.1.2.1.25.2.3.1.4\"\r\n\r\n  [[inputs.snmp.table.field]]\r\n    name = \"hrStorageSize\"\r\n    oid  = \".1.3.6.1.2.1.25.2.3.1.5\"\r\n\r\n  [[inputs.snmp.table.field]]\r\n    name = \"hrStorageUsed\"\r\n    oid  = \".1.3.6.1.2.1.25.2.3.1.6\"\r\n########        \r\n # Bandwidth usage: Bytes received (32-bit; use for low-traffic)\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"1.3.6.1.2.1.2.2.1.10\"  # ifInOctets\r\n      name = \"if_in_octets\"\r\n\r\n    # Bandwidth usage: Bytes transmitted (32-bit)\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"1.3.6.1.2.1.2.2.1.16\"  # ifOutOctets\r\n      name = \"if_out_octets\"\r\n########          \r\n              [[inputs.snmp.table.field]]\r\n      oid = \"1.3.6.1.2.1.25.3.3.1.2\"  # hrProcessorLoad\r\n      name = \"cpu_usage\"\r\n########        \r\n            [[inputs.snmp.field]]\r\n    oid = \"1.3.6.1.4.1.24681.1.2.1.0\"  # sysTemperature\r\n    name = \"system_temperature_celsius\"\r\n########\r\n  [[inputs.snmp.field]]\r\n    name = \"systemTemperatureC\"\r\n    #oid = \"1.3.6.1.4.1.24681.1.2.6.0\"\r\n        oid = \"iso.3.6.1.4.1.24681.1.2.6.0\"\r\n########        \r\n\r\n          [[inputs.snmp.field]]\r\n    name = \"free_mem_mb\"\r\n    oid = \"iso.1.3.6.1.4.1.24681.1.3.3.0\"  # Free bytes\r\n########\r\n\r\n\r\n          [[inputs.snmp.field]]\r\n    name = \"free_mem_bytes\"\r\n    oid = \".1.3.6.1.4.1.24681.1.3.3.0\"  # Free memory (bytes, Counter64)\r\n    is_tag = false\r\n\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"free_mem_mb_string\"\r\n    oid = \".1.3.6.1.4.1.24681.1.2.3.0\"  # Free memory (MB, string, fallback)\r\n    is_tag = false\r\n\r\n########","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-11-26T05:47:34.000Z","updatedAt":"2025-11-27T08:47:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24471"},{"rel":"revisions","href":"/dashboards/24471/revisions"},{"rel":"revision","href":"/dashboards/24471/revisions/1"},{"rel":"download","href":"/dashboards/24471/revisions/1/download"},{"rel":"org","href":"/orgs/gosterm"},{"rel":"images","href":"/dashboards/24471/images"},{"rel":"thumbnails","href":"/dashboards/24471/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14572,"status":1,"statusCode":"active","orgId":510087,"orgSlug":"lasithih","orgName":"lasithih","slug":"qnap-monitor","downloads":1197,"revisionId":21580,"revision":1,"name":"QNAP SNMP Monitor","description":"Dashboard to monitor a QNAP NAS with SNMP","readme":"# Steps\n- Turn on SNMP from your QNAP device\n- Generate snmp.yml to use with SNMP Exporter\n- Run SNMP Exporter\n- Add scrape targets to Prometheus\n\nUse [SNMP Exporter by Prometheus](https://github.com/prometheus/snmp_exporter) to export data from your SNMP device\nhttps://github.com/prometheus/snmp_exporter\n\nBefore yo use the SNMP Exporter, you have to use the SNMP generator to generate the snmp.yml to use with the exporter.\nTo do so use [SNMP Generator](https://github.com/prometheus/snmp_exporter/tree/main/generator) with the generator.yml below\ngenerator.yml\n \n\n    modules:\n\t\tqnap:\n\t    \twalk:\n\t    \t\t- cpuUsage\n    \t\t\t- systemCPU-UsageEX\n    \t\t\t- systemFreeMemEX\n    \t\t\t- systemFreeMem\n    \t\t\t- systemUsedMemory\n    \t\t\t- systemAvailableMem\n    \t\t\t- systemUptimeEX\n    \t\t\t- systemTemperatureEX\n    \t\t\t- enclosureSystemTemp\n    \t\t\t- ifPacketsReceivedEX\n    \t\t\t- ifPacketsSentEX\n    \t\t\t- sysFanSpeedEX\n    \t\t\t- sysVolumeFreeSizeEX\n    \t\t\t- sysVolumeStatusEX\n    \t\t\t- diskTemperture\n    \t\t\t- diskSmartInfo\n    \t\t\t- volumeStatus\n    \t\t\t- iops\n    \t\t\t- latency\n    \tqnaplong:\n    \t\twalk:\n    \t\t\t- modelNameEX\n    \t\t\t- hostNameEX\n    \t\t\t- firmwareVersion\n    \t\t\t- firmwareUpgradeAvailable\n    \t\t\t- systemTotalMemEX\n    \t\t\t- systemTotalMem  # V5\n    \t\t\t- sysVolumeDescrEX\n    \t\t\t- sysVolumeTotalSizeEX\n    \t\t\t- diskModel\n    \t\t\t- diskCapacity\n    \t\t\t- volumeName\n    \t\t\t- volumeCapacity\n\nSNMP Generator will create snmp.yml file. Use it with the SNMP Exporter to export above SNMP data to a Prometheus friendly format.\n\nIn your Prometheus configuration file add the following two scrape targets.\n\n      - job_name: 'snmp_qnap'\n        scrape_interval: 1m\n        scrape_timeout: 1m\n        static_configs:\n        - targets:\n            - 192.168.1.5 #IP Address of the SNMP Device\n        metrics_path: /snmp\n        params:\n          module: [qnap]\n        relabel_configs:\n          - source_labels: [__address__]\n            target_label: __param_target\n          - source_labels: [__param_target]\n            target_label: instance\n          - target_label: __address__\n            replacement: 192.168.1.15:9116 #IP Address of the SNMP Exporter. 9116 is the default port\n    \n      - job_name: 'snmp_qnap_long'\n        scrape_interval: 5m\n        scrape_timeout: 2m\n        static_configs:\n        - targets:\n            - 192.168.1.5  #IP Address of the SNMP Device\n        metrics_path: /snmp\n        params:\n          module: [qnaplong]\n        relabel_configs:\n          - source_labels: [__address__]\n            target_label: __param_target\n          - source_labels: [__param_target]\n            target_label: instance\n          - target_label: __address__\n            replacement: 192.168.1.15:9116 #IP Address of the SNMP Exporter. 9116 is the default port\n\n\nWorks Best with \n- \n- One data volume\n\nKnown Issues\n-\n- If it says \"No Data\" in some fields, it means one of two scrapes failed. Data will be back when the scrape succeeds.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-06-12T04:13:29.000Z","updatedAt":"2021-06-12T05:01:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14572"},{"rel":"revisions","href":"/dashboards/14572/revisions"},{"rel":"revision","href":"/dashboards/14572/revisions/1"},{"rel":"download","href":"/dashboards/14572/revisions/1/download"},{"rel":"org","href":"/orgs/lasithih"},{"rel":"images","href":"/dashboards/14572/images"},{"rel":"thumbnails","href":"/dashboards/14572/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14871,"status":1,"statusCode":"active","orgId":111014,"orgSlug":"paulfantom","orgName":"paulfantom","slug":"qnap-snmp-monitor","downloads":650,"revisionId":22163,"revision":1,"name":"QNAP SNMP Monitor","description":"Dashboard to monitor a QNAP NAS with SNMP","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-14T15:43:25.000Z","updatedAt":"2021-08-14T15:44:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14871"},{"rel":"revisions","href":"/dashboards/14871/revisions"},{"rel":"revision","href":"/dashboards/14871/revisions/1"},{"rel":"download","href":"/dashboards/14871/revisions/1/download"},{"rel":"org","href":"/orgs/paulfantom"},{"rel":"images","href":"/dashboards/14871/images"},{"rel":"thumbnails","href":"/dashboards/14871/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11876,"status":1,"statusCode":"active","orgId":328893,"orgSlug":"timoreymann","orgName":"timoreymann","slug":"qnap-ts-332x","downloads":404,"revisionId":17738,"revision":2,"name":"QNAP TS-332X","description":"Basic dashboard using snmp_exporter for QNAP TS-332X","readme":"===\nDISCLAIMER: This is not an officially nor supported by QNAP. The logo is property of QNAP Systems, Inc. \n===\n\nDashboard for QNAP TS-332X, using the snmp_exporter. It was generated using the following `generator.yml`:\n\n```yaml\nmodules:\n  qnap_nas:\n    walk:\n      - raidStatus\n      - systemFanSpeed\n      - systemTemperatureEX\n      - cpuUsage\n      - diskSmartInfo #  INTEGER {abnormal(2),warning(1),good(0),error(-1)}\n      - diskTemperture\n      - enclosureSystemTemp\n      - sysVolumeFreeSize\n      - sysVolumeTotalSize\n      - systemTotalMem\n      - systemFreeMem\n      - ifPacketsSentEX\n      - ifPacketsReceivedEX\n      - ifErrorPacketsEX\n    version: 2\n    max_repetitions: 25\n    retries: 3\n    timeout: 3s\n    lookups:\n      - source_indexes: [ifIndexEX]\n        lookup: ifDescrEX\n        drop_source_indexes: true\n      - source_indexes: [hdIndex]\n        lookup: hdDescr\n        drop_source_indexes: true\n      - source_indexes: [diskIndex]\n        lookup: hdDescr\n        drop_source_indexes: true\n      - source_indexes: [hdIndexEx]\n        lookup: hdDescrEx\n        drop_source_indexes: true\n      - source_indexes: [sysVolumeIndex]\n        lookup: volumeName\n        drop_source_indexes: true\n      - source_indexes: [enclosureIndex]\n        lookup: enclosureName\n        drop_source_indexes: true\n    overrides:\n      raidStatus:\n        regex_extracts:\n          \"\":\n            - regex: '.*Ready'\n              value: 1\n            - regex: '.*'\n              value: 0\n      systemTotalMem:\n        regex_extracts:\n          _mb:\n            - regex: '(.*) MB'\n              value: '$1'\n      systemFreeMem:\n        regex_extracts:\n          _mb:\n            - regex: '(.*) MB'\n              value: '$1'\n      sysVolumeFreeSize:\n        regex_extracts:\n          _gb:\n            - regex: '(.*) GB'\n              value: '$1'\n      sysVolumeTotalSize:\n        regex_extracts:\n          _gb:\n            - regex: '(.*) GB'\n              value: '$1'\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-09T19:56:25.000Z","updatedAt":"2020-05-30T19:31:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/11876"},{"rel":"revisions","href":"/dashboards/11876/revisions"},{"rel":"revision","href":"/dashboards/11876/revisions/2"},{"rel":"download","href":"/dashboards/11876/revisions/2/download"},{"rel":"org","href":"/orgs/timoreymann"},{"rel":"images","href":"/dashboards/11876/images"},{"rel":"thumbnails","href":"/dashboards/11876/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11968,"status":1,"statusCode":"active","orgId":362808,"orgSlug":"steinhkl","orgName":"steinhkl","slug":"qnap-collectd","downloads":1125,"revisionId":17208,"revision":5,"name":"QNAP-collectd","description":"A simple to use collectd influxdb grafana dashboard showing QNAP NAS metrics.","readme":"![Dashboard Image](https://i.imgur.com/gKffwjj.png)\n\nPlease get the latest Version at the Github Repo: https://github.com/zottelbeyer/QNAP-collectdinfluxdbgrafana\n\nUpdating here on a regular basis might introduce breaking changes to clients using the imported Dashboard.","collectorType":"collectd","collectorConfig":"\t###########\n\t# General Settings\n\t###########\n\n\t# Your desired hostname\n\t# Make sure to also Update line 104 if you change this!\n\tHostname \"QNAP-collectd\"\n\n\t# Collectd collect interval in seconds (default: 10)\n\tInterval 10\n\n\t##########\n\t# Network Settings\n\t##########\n\n\tLoadPlugin network\n\n\t<Plugin network>\n\t\tServer \"127.0.0.1\" \"25826\"\n\t</Plugin>\n\n\t##########\n\t# Collection Settings\n\t##########\n\n\tLoadPlugin disk\n\tLoadPlugin df\n\tLoadPlugin interface\n\tLoadPlugin users\n\tLoadPlugin cpu\n\tLoadPlugin load\n\tLoadPlugin memory\n\tLoadPlugin swap\n\tLoadPlugin uptime\n\tLoadPlugin processes\n\tLoadPlugin exec\n\tLoadPlugin snmp\n\n\t<Plugin swap>\n\t\tValuesPercentage true\n\t\tReportIO true\t\n\t</Plugin>\n\n\t<Plugin cpu>\n\t\tReportByCpu true\n\t\tReportByState true\n\t\tValuesPercentage true\n\t</Plugin>\n\n\t<Plugin memory>\n\t\tValuesPercentage true\n\t\tValuesAbsolute true\n\t</Plugin>\n\n\n\t# In case you want to declutter the disk selection select relevant disks in your device here\n\t<Plugin disk>\n\t\t# This is a regex query for any device starting with sd\n\t\tDisk \"/sd[a-x]$/\"\n\t\tDisk \"/nvme[0-9]n1$/\"\n\t   IgnoreSelected false\n\t</Plugin>\n\n\t<Plugin df>\n\t\t# You might have to modify the dev name if your QNAP creates a different device name.\n\t\tDevice \"/dev/mapper/cachedev1\"\n\t\tValuesPercentage true\n\t\tValuesAbsolute true\n\t\tReportByDevice true\n\t\tIgnoreSelected false\n\t</Plugin>\n\n\t<Plugin Interface>\n\t\tInterface \"/^eth[0-9]/\"\n\t\tIgnoreSelected false\n\t</Plugin>\n\n\t<Plugin snmp>\n\t\t<Data \"qnap_cpu_temp\">\n\t\t\t\tType \"temperature\"\n\t\t\t\tTable false\n\t\t\t\tInstance \"cpu\"\n\t\t\t\tValues \"NAS-MIB::cpu-TemperatureEX.0\"\n\t\t</Data>\n\t\t<Data \"qnap_system_temp\">\n\t\t\t\tType \"temperature\"\n\t\t\t\tTable false\n\t\t\t\tInstance \"system\"\n\t\t\t\tValues \"NAS-MIB::systemTemperatureEX.0\"\n\t\t</Data>\n\t\t<Data \"qnap_enclosure_temp\">\n\t\t\t\tType \"temperature\"\n\t\t\t\tTable false\n\t\t\t\tInstance \"enclosure\"\n\t\t\t\tValues \"NAS-MIB::enclosureSystemTemp.1\"\n\t\t</Data>\n\t\t<Data \"qnap_hdd_temp\">\n\t\t\t\tType \"temperature\"\n\t\t\t\tTable true\n\t\t\t\tInstancePrefix \"hdd\"\n\t\t\t\tInstance \"NAS-MIB::hdIndex\"\n\t\t\t\tValues \"NAS-MIB::hdTemperatureEX\"\n\t\t</Data>\n\t\t<Data \"qnap_fan_rpm\">\n\t\t\t\tType \"fanspeed\"\n\t\t\t\tTable true\n\t\t\t\tInstancePrefix \"fan\"\n\t\t\t\tInstance \"NAS-MIB::systemFanIndex\"\n\t\t\t\tValues \"NAS-MIB::systemFanSpeed\"\n\t\t</Data>\n\t\t<Data \"qnap_cache_read_hitrate\">\n\t\t\t\tType \"percent\"\n\t\t\t\tTable false\n\t\t\t\tInstance \"read-hitrate\"\n\t\t\t\tValues \"NAS-MIB::readHitRate.0\"\n\t\t</Data>\n\t\t<Data \"qnap_cache_write_hitrate\">\n\t\t\t\tType \"percent\"\n\t\t\t\tTable false\n\t\t\t\tInstance \"write-hitrate\"\n\t\t\t\tValues \"NAS-MIB::writeHitRate.0\"\n\t\t</Data>\n\t\t<Host \"QNAP-collectd\">\n\t\t\tAddress \"127.0.0.1\"\n\t\t\tVersion 2\n\t\t\tCommunity \"snmp-collectd\"\n\t\t\tCollect \"qnap_cpu_temp\" \"qnap_system_temp\" \"qnap_hdd_temp\" \"qnap_enclosure_temp\" \"qnap_cache_write_hitrate\" \"qnap_cache_read_hitrate\" \"qnap_fan_rpm\"\n\t\t</Host>\n\t</Plugin>","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2020-03-22T17:35:40.000Z","updatedAt":"2020-05-27T08:05:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":3,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/11968"},{"rel":"revisions","href":"/dashboards/11968/revisions"},{"rel":"revision","href":"/dashboards/11968/revisions/5"},{"rel":"download","href":"/dashboards/11968/revisions/5/download"},{"rel":"org","href":"/orgs/steinhkl"},{"rel":"images","href":"/dashboards/11968/images"},{"rel":"thumbnails","href":"/dashboards/11968/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16143,"status":1,"statusCode":"active","orgId":634160,"orgSlug":"cosiray","orgName":"cosiray","slug":"1-sls-jvm","downloads":954,"revisionId":24495,"revision":1,"name":"QPS-JVM监控大盘","description":"Dashboard for Micrometer instrumented applications (Java, Spring Boot, Micronaut)","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-04-20T04:19:50.000Z","updatedAt":"2022-04-20T04:25:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16143"},{"rel":"revisions","href":"/dashboards/16143/revisions"},{"rel":"revision","href":"/dashboards/16143/revisions/1"},{"rel":"download","href":"/dashboards/16143/revisions/1/download"},{"rel":"org","href":"/orgs/cosiray"},{"rel":"images","href":"/dashboards/16143/images"},{"rel":"thumbnails","href":"/dashboards/16143/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23126,"status":1,"statusCode":"active","orgId":1382215,"orgSlug":"nermolaev505","orgName":"nermolaev505","slug":"qrator","downloads":260,"revisionId":36574,"revision":1,"name":"Qrator exporter","description":"Qrator metrics visualization","readme":"Simple grafana dashboard for qrator, metrics are taken from the qrator-exporter (https://github.com/ezhische/qrator-exporter).\r\n\r\nBase dashboard taken from https://levaminov.ru/-GTUP-QWYFV","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-03-20T22:20:07.000Z","updatedAt":"2025-03-20T22:44:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23126"},{"rel":"revisions","href":"/dashboards/23126/revisions"},{"rel":"revision","href":"/dashboards/23126/revisions/1"},{"rel":"download","href":"/dashboards/23126/revisions/1/download"},{"rel":"org","href":"/orgs/nermolaev505"},{"rel":"images","href":"/dashboards/23126/images"},{"rel":"thumbnails","href":"/dashboards/23126/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18510,"status":1,"statusCode":"active","orgId":835745,"orgSlug":"smunoz4","orgName":"smunoz4","slug":"qrng-all-prometheus","downloads":264,"revisionId":28390,"revision":1,"name":"QRNG All Prometheus","description":"dsqda","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-13T13:50:20.000Z","updatedAt":"2023-04-13T13:51:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18510"},{"rel":"revisions","href":"/dashboards/18510/revisions"},{"rel":"revision","href":"/dashboards/18510/revisions/1"},{"rel":"download","href":"/dashboards/18510/revisions/1/download"},{"rel":"org","href":"/orgs/smunoz4"},{"rel":"images","href":"/dashboards/18510/images"},{"rel":"thumbnails","href":"/dashboards/18510/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13814,"status":1,"statusCode":"active","orgId":460190,"orgSlug":"quakesaver","orgName":"QuakeSaver GmbH","slug":"quakesaver-sensors","downloads":316,"revisionId":20217,"revision":1,"name":"QuakeSaver Sensor","description":"QuakeSaver smart seismic sensor monitoring.","readme":"# QuakeSaver Sensor\r\nMetrics and insights delivered by the QuakeSaver seismic sensor.\r\n\r\n# Categories\r\n* System overview\r\nLoad and IO metrics from the system.\r\n\r\n## Sensor insights\r\nTemperature, frequency jitter and more.\r\n\r\n## Timing quality\r\nImportant timing metrics as the clock's skew and offsets.\r\n\r\n## Real-time ground motion analytics\r\nParameters as Peak-Ground-Motion (PGA), JMA Shindo (instrument intensity) and spectral intensity.\r\n\r\n## Streaming data insights\r\nServices as SeedLink or FDSN Web Service and the MQTT communication with the managing server.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-02-01T19:29:38.000Z","updatedAt":"2021-02-01T19:42:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13814"},{"rel":"revisions","href":"/dashboards/13814/revisions"},{"rel":"revision","href":"/dashboards/13814/revisions/1"},{"rel":"download","href":"/dashboards/13814/revisions/1/download"},{"rel":"org","href":"/orgs/quakesaver"},{"rel":"images","href":"/dashboards/13814/images"},{"rel":"thumbnails","href":"/dashboards/13814/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20582,"status":1,"statusCode":"active","orgId":1027946,"orgSlug":"georadar","orgName":"georadar","slug":"quakesaver-sensor","downloads":259,"revisionId":31798,"revision":1,"name":"QuakeSaver Sensor","description":"QuakeSaver smart seismic sensor monitoring.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-02-27T23:11:34.000Z","updatedAt":"2024-02-27T23:13:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20582"},{"rel":"revisions","href":"/dashboards/20582/revisions"},{"rel":"revision","href":"/dashboards/20582/revisions/1"},{"rel":"download","href":"/dashboards/20582/revisions/1/download"},{"rel":"org","href":"/orgs/georadar"},{"rel":"images","href":"/dashboards/20582/images"},{"rel":"thumbnails","href":"/dashboards/20582/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19676,"status":1,"statusCode":"active","orgId":94170,"orgSlug":"perconalab","orgName":"perconalab","slug":"queries-with-high-examined-sent-rate","downloads":290,"revisionId":30195,"revision":1,"name":"Queries with high Examined/Sent rate","description":"The dashboard will display the rate of queries that have been examined and sent.","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"ClickHouse","privacy":"public","createdAt":"2023-09-29T12:29:21.000Z","updatedAt":"2023-09-29T12:49:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19676"},{"rel":"revisions","href":"/dashboards/19676/revisions"},{"rel":"revision","href":"/dashboards/19676/revisions/1"},{"rel":"download","href":"/dashboards/19676/revisions/1/download"},{"rel":"org","href":"/orgs/perconalab"},{"rel":"images","href":"/dashboards/19676/images"},{"rel":"thumbnails","href":"/dashboards/19676/thumbnails"}],"datasourceSlugs":["grafana-clickhouse-datasource"]},{"id":24896,"status":1,"statusCode":"active","orgId":1671758,"orgSlug":"kedarv","orgName":"kedarv","slug":"query-analysis-and-insights","downloads":18,"revisionId":39969,"revision":1,"name":"Query Analysis and Insights","description":"Query Analysis and Insights","readme":"## Introduction\r\n\r\nThis dashboard is built to extend Percona Monitoring and Management (PMM) Query Analytics by providing deeper visibility into **query behavior, performance, and contention patterns** using Grafana and ClickHouse. \r\nIt focuses on practical, DBA-driven questions such as *why queries are slow*, *where contention is coming from*, and *how workloads are distributed across users and clients*.\r\n\r\nThe panels are designed to be used together as a troubleshooting workflow, starting from identifying slow or unstable queries, drilling into efficiency and locking issues, and finally attributing load to users or hosts.\r\n\r\n## Author\r\n- Kedar V (https://kedar.nitty-witty.com/blog) Consulting at Percona.com\r\n\r\n## Summary\r\n\r\nBy combining PMM’s rich Query Analytics data with custom Grafana visualizations, this dashboard moves beyond simple slow-query listings to expose **latency distribution, inefficiency, contention, and multi-tenant behavior**. It enables faster root-cause analysis and more informed tuning decisions during both incident response and routine performance reviews.\r\n\r\nUse this dashboard as a foundation: adapt thresholds, filters, and queries to match your environment and workload. With PMM’s underlying data model, these views can be extended further to support proactive monitoring and performance optimization.\r\n\r\n\r\n## Dashboard Panels\r\n\r\n### 1. Slow Query Analysis\r\nShows average execution time over time for the top slowest MySQL query fingerprints.  \r\nUse this panel to identify latency spikes, unstable queries, and performance regressions.\r\n\r\n---\r\n\r\n### 2. Latency Distribution Heatmap\r\nVisualizes the distribution of query execution times over time using a heatmap.  \r\nHelps detect fat tails and outliers that are often hidden by averages.\r\n\r\n---\r\n\r\n### 3. Query Volatility (P99 vs Average)\r\nCompares average latency against tail latency (P99) for queries.  \r\nUseful to spot jitter, contention, or resource saturation even when averages look stable.\r\n\r\n---\r\n\r\n### 4. Lock Wait Ratio Over Time (Top Contended Queries)\r\nShows the fraction of execution time spent waiting on locks for the most contended queries.  \r\nRatios consistently above ~20% usually indicate lock contention or concurrency issues.\r\n\r\n---\r\n\r\n### 5. Temporary Table Usage (Disk & Memory)\r\nHighlights queries creating large or frequent temporary tables, especially on disk.  \r\nHelps identify queries that cause memory pressure, disk I/O, or inefficient sorting/grouping.\r\n\r\n---\r\n\r\n### 6. Query Efficiency (Rows Examined vs Rows Sent)\r\nDisplays queries with high read amplification (rows examined compared to rows returned).  \r\nCommonly used to detect missing indexes and inefficient access patterns.\r\n\r\n---\r\n\r\n### 7. Error Rate vs Throughput\r\nCompares the number of queries with errors against overall query volume.  \r\nUse this panel to catch error spikes, validate deployments, and correlate failures with load.\r\n\r\n---\r\n\r\n### 8. Workload Distribution by User\r\nShows the relative share of total execution time consumed by each database user.  \r\nUseful for identifying noisy neighbors and understanding multi-tenant workload distribution.\r\n\r\n---\r\n\r\n### 9. Query Volume by Client Host\r\nDisplays the number of queries executed per client host over time.  \r\nPrimarily used to spot traffic spikes and imbalances; host information may be unavailable in some setups.\r\n\r\n---\r\n\r\n### 10. Execution Time vs Lock Wait Time\r\nCorrelates total execution time with lock wait time for top queries.  \r\nHelps distinguish between CPU/I/O-bound queries and those slowed down by locking and contention.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"ClickHouse","privacy":"public","createdAt":"2026-02-18T12:24:32.000Z","updatedAt":"2026-02-18T12:25:47.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24896"},{"rel":"revisions","href":"/dashboards/24896/revisions"},{"rel":"revision","href":"/dashboards/24896/revisions/1"},{"rel":"download","href":"/dashboards/24896/revisions/1/download"},{"rel":"org","href":"/orgs/kedarv"},{"rel":"images","href":"/dashboards/24896/images"},{"rel":"thumbnails","href":"/dashboards/24896/thumbnails"}],"datasourceSlugs":["grafana-clickhouse-datasource"]},{"id":15721,"status":1,"statusCode":"active","orgId":583798,"orgSlug":"architjugran","orgName":"architjugran","slug":"query-insights","downloads":343,"revisionId":27213,"revision":2,"name":"Query Insights","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-02-08T18:38:36.000Z","updatedAt":"2022-12-30T15:31:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15721"},{"rel":"revisions","href":"/dashboards/15721/revisions"},{"rel":"revision","href":"/dashboards/15721/revisions/2"},{"rel":"download","href":"/dashboards/15721/revisions/2/download"},{"rel":"org","href":"/orgs/architjugran"},{"rel":"images","href":"/dashboards/15721/images"},{"rel":"thumbnails","href":"/dashboards/15721/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24476,"status":1,"statusCode":"active","orgId":502618,"orgSlug":"alegria2096","orgName":"LUVIAMAN","slug":"questdb-varken-plex","downloads":20,"revisionId":39162,"revision":1,"name":"QuestDB Varken Plex","description":"plex dashboard metric with Questdb as backend","readme":"","collectorType":"Telegraf","collectorConfig":"multiple databases backend. 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It exports these metrics to Prometheus, enabling visualization in Grafana dashboards for comprehensive Node.js application performance monitoring.\r\n\r\nIf you are new to QuickStat and its components, feel free to check the [official documentation](https://www.npmjs.com/package/@quickstat/core) for a detailed breakdown.\r\n\r\n## Installation\r\n\r\nStart by installing the QuickStat core package, the data source used by Grafana and then the Node.js plugin:\r\n\r\n```bash\r\nnpm install @quickstat/core\r\nnpm install @quickstat/prometheus\r\nnpm install @quickstat/nodejs\r\n```\r\n\r\n## Getting Started\r\n\r\nIf you use docker and want to get started quickly, you can check the [following docker-setup](https://github.com/QuickStat/quickstat/tree/master/examples/plugins/nodejs), which allows you to skip the setup and directly use the plugin. Once you have setup docker, continue on Step 3.\r\n\r\nIf your unfamiliar with [QuickStat's plugins](https://github.com/QuickStat/quickstat/tree/master?tab=readme-ov-file#plugins), then keep in mind that you can also use other strategies such as (PushGateway) for exposing metrics or even combine your dashboard with other plugins.\r\n\r\nIf you want to set up Prometheus and Grafana manually, follow the steps below:\r\n\r\n### 1. Setup Prometheus and Grafana\r\n\r\n1. **Install Prometheus**: Follow the [official documentation](https://prometheus.io/docs/prometheus/latest/installation/) to install Prometheus on your system.\r\n\r\n2. **Install Grafana**: Refer to the [official documentation](https://grafana.com/docs/grafana/latest/installation/) for instructions on installing Grafana.\r\n\r\n3. **Configure Prometheus Data Source in Grafana**: After installing Grafana, configure Prometheus as a data source. Go to Grafana settings, add a new data source, and specify the URL where Prometheus is running.\r\n\r\n### 2. Import Dashboard to Grafana\r\n\r\nOnce Prometheus and Grafana are set up, you can add [following Dashboard](https://grafana.com/orgs/dxloop/dashboards/24130). Navigate to the Grafana dashboard page, click on \"Import\" and paste the dashboard template URL. Then, customize the dashboard as needed.\r\n\r\n### 3. Expose Node.js Runtime Metrics\r\n\r\nTo expose the metrics to Prometheus using the QuickStat Node.js Plugin, use the following code snippet:\r\n\r\n```javascript\r\nimport { Client as QuickStatClient } from '@quickstat/core'\r\nimport { NodeJsPlugin } from '@quickstat/nodejs'\r\nimport { PrometheusDataSource, ScrapeStrategy } from '@quickstat/prometheus'\r\nimport http from 'http'\r\n\r\n// Create QuickStat Client\r\nconst quickStatClient = new QuickStatClient() < PrometheusDataSource < ScrapeStrategy >> ({\r\n      metrics: [],\r\n      plugins: [\r\n        // Register Node.js Plugin\r\n        new NodeJsPlugin({\r\n          excludeMetrics: [],\r\n        }),\r\n      ],\r\n      // Register the data source\r\n      dataSource: new PrometheusDataSource({\r\n        strategy: new ScrapeStrategy(),\r\n      }),\r\n    })\r\n\r\n// Let Prometheus scrape the metrics at http://localhost:3242\r\n// WARNING: On production, properly secure the endpoint (if open)\r\nhttp.createServer(async (req, res) => {\r\n  const response = await quickStatClient.dataSource?.strategy?.getResponse()\r\n\r\n  // Write the prometheus response file\r\n  if (response) {\r\n    res.writeHead(200, response.headers)\r\n    res.end(response.file)\r\n  }\r\n}).listen(3242)\r\n```\r\n\r\n### 4. Start the Application\r\n\r\nAfter setting up the code, start the application. The metrics will be available at `http://localhost:3242` in Prometheus format and will be scraped by Prometheus, which will then be used for visualization in Grafana.\r\n\r\n## Available Metrics\r\n\r\nThe Node.js plugin provides comprehensive runtime metrics:\r\n\r\n### Memory Metrics\r\n\r\n- `nodejs_heap_size_total` - Total heap size in bytes\r\n- `nodejs_heap_size_used` - Used heap size in bytes\r\n- `nodejs_external_memory` - External memory size in bytes\r\n- `nodejs_heap_space_size_total` - Total heap space size in bytes (by space)\r\n- `nodejs_heap_space_size_used` - Used heap space size in bytes (by space)\r\n- `nodejs_heap_space_size_available` - Available heap space size in bytes (by space)\r\n- `nodejs_process_resident_memory` - Resident memory size in bytes\r\n- `nodejs_process_virtual_memory` - Virtual memory size in bytes (Linux only)\r\n- `nodejs_process_heap_memory` - Heap memory size in bytes\r\n\r\n### Performance Metrics\r\n\r\n- `nodejs_event_loop_lag` - Event loop lag in seconds\r\n- `nodejs_gc_duration` - Garbage collection duration in seconds (by GC kind)\r\n\r\n### CPU Metrics\r\n\r\n- `nodejs_process_cpu_user_total` - Total user CPU time in seconds\r\n- `nodejs_process_cpu_system_total` - Total system CPU time in seconds\r\n- `nodejs_process_cpu_total` - Total CPU time in seconds\r\n\r\n### Resource Metrics\r\n\r\n- `nodejs_active_handles` - Number of active handles\r\n- `nodejs_active_handles_total` - Total number of active handles\r\n- `nodejs_active_requests` - Number of active requests\r\n- `nodejs_active_requests_total` - Total number of active requests\r\n- `nodejs_active_resources` - Number of active resources\r\n- `nodejs_active_resources_total` - Total number of active resources\r\n\r\n### File Descriptor Metrics (Linux/Unix only)\r\n\r\n- `nodejs_process_max_fds` - Maximum number of file descriptors\r\n- `nodejs_process_open_fds` - Number of open file descriptors\r\n\r\n### Process Information\r\n\r\n- `nodejs_start_time` - Start time of the Node.js process in seconds\r\n- `nodejs_version` - Node.js version information\r\n\r\n## Configuration\r\n\r\n### DataSource\r\n\r\nThe example above uses the PrometheusDataSource with the ScrapeStrategy. The ScrapeStrategy exposes the prometheus file on the given endpoint for being scraped from prometheus. You can also use the PushGatewayStrategy to push the metrics to the PushGateway of Prometheus.\r\n\r\nIf you would like to use other data sources, you can take a look at the available data sources in the [@quickstat/core package](https://github.com/QuickStat/quickstat?tab=readme-ov-file#data-sources)\r\n\r\n### Plugin\r\n\r\nThe Node.js Plugin automatically collects runtime metrics from the current Node.js process. You can exclude specific metrics which should not be processed by the plugin.\r\n\r\n| Option         | Description                 | Default |\r\n| -------------- | --------------------------- | ------- |\r\n| excludeMetrics | Array of metrics to exclude | []      |\r\n\r\n### Platform Support\r\n\r\n- **Full Support**: Linux/Unix systems (includes file descriptor metrics)\r\n- **Core Support**: Windows/macOS (excludes platform-specific metrics like file descriptors)\r\n- **GC Monitoring**: Available on Node.js versions that support PerformanceObserver\r\n- **Event Loop Monitoring**: Available on all supported Node.js versions\r\n\r\n### Memory Considerations\r\n\r\nThe plugin monitors the Node.js runtime with minimal overhead:\r\n\r\n- Event loop monitoring: ~1KB memory, updates every second\r\n- GC monitoring: Negligible overhead, only active during garbage collection\r\n- Metric collection: Runs during scheduled collection intervals\r\n\r\n## Example Use Cases\r\n\r\n### Development Environment\r\n\r\nMonitor your application's memory usage, event loop performance, and garbage collection patterns during development to identify potential performance issues early.\r\n\r\n### Production Monitoring\r\n\r\nSet up alerts on critical metrics like:\r\n\r\n- High event loop lag (> 100ms)\r\n- Memory leaks (continuously increasing heap usage)\r\n- Excessive garbage collection frequency\r\n- High CPU usage patterns\r\n\r\n### Performance Optimization\r\n\r\nUse heap space metrics to understand memory allocation patterns and optimize your application's memory usage across different heap spaces.\r\n\r\n## Contributing and Issues\r\n\r\nIf you have any issues or feature requests, feel free to open an issue on the [GitHub repository](https://github.com/QuickStat/quickstat)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-09-21T16:41:30.000Z","updatedAt":"2025-09-22T08:07:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24130"},{"rel":"revisions","href":"/dashboards/24130/revisions"},{"rel":"revision","href":"/dashboards/24130/revisions/1"},{"rel":"download","href":"/dashboards/24130/revisions/1/download"},{"rel":"org","href":"/orgs/dxloop"},{"rel":"images","href":"/dashboards/24130/images"},{"rel":"thumbnails","href":"/dashboards/24130/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20214,"status":1,"statusCode":"active","orgId":818057,"orgSlug":"quickwit","orgName":"quickwit","slug":"quickwit-indexers","downloads":353,"revisionId":31117,"revision":1,"name":"Quickwit Indexers","description":"Dashboard to monitor Quickwit indexers.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-12-27T10:08:04.000Z","updatedAt":"2023-12-27T10:13:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20214"},{"rel":"revisions","href":"/dashboards/20214/revisions"},{"rel":"revision","href":"/dashboards/20214/revisions/1"},{"rel":"download","href":"/dashboards/20214/revisions/1/download"},{"rel":"org","href":"/orgs/quickwit"},{"rel":"images","href":"/dashboards/20214/images"},{"rel":"thumbnails","href":"/dashboards/20214/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18496,"status":1,"statusCode":"active","orgId":832194,"orgSlug":"qumulografana","orgName":"qumulografana","slug":"cluster-overview","downloads":334,"revisionId":28372,"revision":1,"name":"Qumulo Cluster Overview","description":"Cluster-wide OpenMetrics from your Qumulo cluster","readme":"See the state of your Qumulo cluster at a glance. 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Here is steps to start:\r\n\r\n1. Install InfluxDB\r\n2. Setup a separate database for r2cloud. \r\n3. In your r2cloud station go to menu \"Configuration\" -> \"Integrations\" and put InfluxDB details.\r\n4. Restart r2cloud to apply the settings\r\n5. Configure \"influxdb-r2cloud\" datasource in Grafana.\r\n5. Import this dashboard using standard Grafana tools.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-08-21T20:10:06.000Z","updatedAt":"2024-08-21T20:21:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21753"},{"rel":"revisions","href":"/dashboards/21753/revisions"},{"rel":"revision","href":"/dashboards/21753/revisions/1"},{"rel":"download","href":"/dashboards/21753/revisions/1/download"},{"rel":"org","href":"/orgs/dernasherbrezon"},{"rel":"images","href":"/dashboards/21753/images"},{"rel":"thumbnails","href":"/dashboards/21753/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11733,"status":1,"statusCode":"active","orgId":68528,"orgSlug":"misipino","orgName":"Massimiliano Casini","slug":"rabbit","downloads":498,"revisionId":16614,"revision":1,"name":"Rabbit","description":"Display various metrics about cluster nodes ","readme":"","collectorType":"Telegraf","collectorConfig":"Default configuration for Rabbit","collectorPluginList":"rabbitmq","datasource":"InfluxDB","privacy":"public","createdAt":"2020-02-14T14:46:58.000Z","updatedAt":"2020-02-14T14:53:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11733"},{"rel":"revisions","href":"/dashboards/11733/revisions"},{"rel":"revision","href":"/dashboards/11733/revisions/1"},{"rel":"download","href":"/dashboards/11733/revisions/1/download"},{"rel":"org","href":"/orgs/misipino"},{"rel":"images","href":"/dashboards/11733/images"},{"rel":"thumbnails","href":"/dashboards/11733/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16275,"status":1,"statusCode":"active","orgId":647148,"orgSlug":"rabbitcompany","orgName":"rabbitcompany","slug":"rabbit-monitor","downloads":298,"revisionId":24737,"revision":1,"name":"Rabbit Monitor","description":"Simple server monitor","readme":"# Rabbit Monitor\r\n\r\nRabbit Monitor is a simple program that fetches your computer data every 5 seconds (By default) and create /metrics API endpoint for other programs to collect data from it.\r\n\r\nRequired packages:\r\n- quart\r\n- psutil\r\n- argparse\r\n\r\nAPI Endpoints:\r\n- /metrics (Support Prometheus)\r\n\r\n# Installation (Python and PIP required)\r\n```yml\r\n# Install Python modules\r\npip install quart psutil argparse\r\n# Install Rabbit Monitor\r\npip install rabbitmonitor\r\n# Start monitoring with\r\npython3 -m rabbitmonitor\r\n```\r\n\r\n# Daemonizing (using systemd)\r\nRunning Rabbit Monitor in the background is a simple task, just make sure that it runs without errors before doing this. Place the contents below in a file called ```rabbitmonitor.service``` in the ```/etc/systemd/system``` directory.\r\n\r\nWARNING: Make sure to change the User to the one that have installed pip packages.\r\n\r\n```service\r\n[Unit]\r\nDescription=Rabbit Monitor \r\nAfter=network.target\r\n\r\n[Service]\r\nType=simple\r\nUser=root\r\nExecStart=python3 -m rabbitmonitor\r\nTimeoutStartSec=0\r\nTimeoutStopSec=2\r\nRemainAfterExit=yes\r\n\r\n[Install]\r\nWantedBy=multi-user.target\r\n```\r\nThen, run the commands below to reload systemd and start Rabbit Monitor.\r\n```yml\r\nsystemctl enable --now rabbitmonitor\r\n```\r\n\r\n# Grafana Dashboard\r\nRabbit Monitor has a pre-made Grafana dashboard that looks like this:\r\n![Grafana Dashboard](https://user-images.githubusercontent.com/44822563/168747801-a4cfb30d-f214-4eff-9097-9530802761b6.png)\r\nIt can be installed from official Grafana website: https://grafana.com/grafana/dashboards/16275","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-05-15T18:14:22.000Z","updatedAt":"2022-07-29T18:18:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16275"},{"rel":"revisions","href":"/dashboards/16275/revisions"},{"rel":"revision","href":"/dashboards/16275/revisions/1"},{"rel":"download","href":"/dashboards/16275/revisions/1/download"},{"rel":"org","href":"/orgs/rabbitcompany"},{"rel":"images","href":"/dashboards/16275/images"},{"rel":"thumbnails","href":"/dashboards/16275/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18562,"status":1,"statusCode":"active","orgId":647148,"orgSlug":"rabbitcompany","orgName":"rabbitcompany","slug":"rabbit-monitor","downloads":372,"revisionId":39195,"revision":6,"name":"Rabbit Monitor","description":"Simple server monitor written in Rust","readme":"# RabbitMonitor2\r\n\r\nRabbit Monitor is a simple program written in Rust that collects computer stats every 3 seconds (By default) and create [/metrics](https://openmetrics.io/) API endpoint for other programs like [Prometheus](https://prometheus.io/), [Grafana](https://grafana.com/)... to collect data and display it.\r\n\r\nAPI Endpoints:\r\n\r\n- [/metrics](https://openmetrics.io/)\r\n\r\nAvailable options:\r\n\r\n```\r\n  -a, --address <ADDRESS>        Bind the server to specific address [default: 0.0.0.0]\r\n  -p, --port <PORT>              Bind the server to specific port [default: 8088]\r\n  -c, --cache <CACHE>            Cache time in seconds [default: 3]\r\n  -t, --token <TOKEN>            Bearer token for authentication (optional)\r\n      --interfaces <INTERFACES>  Comma-separated list of network interfaces to monitor (e.g., \"eth0,wlan0\")\r\n      --all-metrics              Enable all detailed metrics\r\n      --cpu-details              Enable detailed CPU metrics\r\n      --memory-details           Enable detailed memory metrics\r\n      --swap-details             Enable detailed swap metrics\r\n      --storage-details          Enable detailed storage metrics\r\n      --network-details          Enable detailed network metrics\r\n  -h, --help                     Print help\r\n  -V, --version                  Print version\r\n```\r\n\r\n# Installation\r\n\r\n```bash\r\n# Download the binary\r\nwget https://github.com/Rabbit-Company/RabbitMonitor2/releases/latest/download/rabbitmonitor-$(uname -m)-gnu\r\n# Set file permissions\r\nsudo chmod 777 rabbitmonitor-$(uname -m)-gnu\r\n# Place the binary to `/usr/local/bin`\r\nsudo mv rabbitmonitor-$(uname -m)-gnu /usr/local/bin/rabbitmonitor\r\n# Start the monitor\r\nrabbitmonitor\r\n```\r\n\r\n# Daemonizing (using systemd)\r\n\r\nRunning Rabbit Monitor in the background is a simple task, just make sure that it runs without errors before doing this. Place the contents below in a file called `rabbitmonitor.service` in the `/etc/systemd/system/` directory.\r\n\r\n```service\r\n[Unit]\r\nDescription=Rabbit Monitor\r\nAfter=network.target\r\n\r\n[Service]\r\nType=simple\r\nUser=root\r\nExecStart=rabbitmonitor --interfaces eth0 --all-metrics\r\nTimeoutStartSec=0\r\nTimeoutStopSec=2\r\nRemainAfterExit=yes\r\n\r\n[Install]\r\nWantedBy=multi-user.target\r\n```\r\n\r\nThen, run the commands below to reload systemd and start Rabbit Monitor.\r\n\r\n```yml\r\nsystemctl enable --now rabbitmonitor\r\n```\r\n\r\n# Upgrade\r\n\r\n```bash\r\n# Stop service\r\nsystemctl stop rabbitmonitor\r\n\r\n# Download Rabbit Monitor\r\nwget https://github.com/Rabbit-Company/RabbitMonitor2/releases/latest/download/rabbitmonitor-$(uname -m)-gnu\r\nsudo chmod 777 rabbitmonitor-$(uname -m)-gnu\r\nsudo mv rabbitmonitor-$(uname -m)-gnu /usr/local/bin/rabbitmonitor\r\n\r\n# Start service\r\nsystemctl start rabbitmonitor\r\n```\r\n\r\n# Grafana Dashboard\r\n\r\nRabbit Monitor has a pre-made Grafana dashboard that looks like this:\r\n\r\n![Grafana Dashboard](https://raw.githubusercontent.com/Rabbit-Company/RabbitMonitor2/main/images/1.png)\r\n\r\nIt can be installed from official Grafana website: [https://grafana.com/grafana/dashboards/18562](https://grafana.com/grafana/dashboards/18562)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-04-19T07:33:48.000Z","updatedAt":"2025-12-01T17:09:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18562"},{"rel":"revisions","href":"/dashboards/18562/revisions"},{"rel":"revision","href":"/dashboards/18562/revisions/6"},{"rel":"download","href":"/dashboards/18562/revisions/6/download"},{"rel":"org","href":"/orgs/rabbitcompany"},{"rel":"images","href":"/dashboards/18562/images"},{"rel":"thumbnails","href":"/dashboards/18562/thumbnails"}]},{"id":11883,"status":1,"statusCode":"active","orgId":302696,"orgSlug":"arjangoos1","orgName":"arjangoos1","slug":"rabbit-mq","downloads":1910,"revisionId":16862,"revision":1,"name":"Rabbit MQ","description":"This dashboard shows the statistics of a Rabbit MQ installation on a Windows OS monitored by Zabbix","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2020-03-11T10:34:06.000Z","updatedAt":"2020-03-11T13:47:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11883"},{"rel":"revisions","href":"/dashboards/11883/revisions"},{"rel":"revision","href":"/dashboards/11883/revisions/1"},{"rel":"download","href":"/dashboards/11883/revisions/1/download"},{"rel":"org","href":"/orgs/arjangoos1"},{"rel":"images","href":"/dashboards/11883/images"},{"rel":"thumbnails","href":"/dashboards/11883/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":24333,"status":1,"statusCode":"active","orgId":647148,"orgSlug":"rabbitcompany","orgName":"rabbitcompany","slug":"rabbitassets","downloads":74,"revisionId":38944,"revision":2,"name":"RabbitAssets","description":"Asset price monitoring system","readme":"# RabbitAssets 🐰📈\r\n\r\nA high-performance asset price monitoring system built with Bun that tracks cryptocurrency, stock, and fiat currency prices across multiple exchanges and exports metrics in OpenMetrics format for Prometheus.\r\n\r\n## Features\r\n\r\n- 🚀 Blazing Fast - Built with Bun for optimal performance\r\n- 📊 Multi-Exchange Support - Binance, Kraken, Coinbase, RabbitStocks, and Fiat currencies\r\n- 🌍 Multi-Currency Portfolio - Automatic currency conversion with real-time forex rates\r\n- 🎯 OpenMetrics Export - Prometheus-compatible metrics endpoint\r\n- 🔄 Real-time Updates - WebSocket connections for live price updates\r\n- 👥 Multi-Owner Support - Track assets for multiple portfolio owners\r\n- 🐳 Docker Ready - Easy deployment with Docker and Docker Compose\r\n- 🔐 Bearer Authentication - Optional token-based API security\r\n- 📈 Portfolio Analytics - Value breakdowns, currency distribution, and asset percentages\r\n\r\n## Supported Exchanges\r\n\r\n- [**RabbitStocks**](https://github.com/Rabbit-Company/RabbitStockAPI) - Stock market data\r\n- **Binance** - Cryptocurrency prices via WebSocket\r\n- **Kraken** - Cryptocurrency prices via WebSocket\r\n- **Coinbase** - Cryptocurrency prices via WebSocket\r\n- [**Fiat**](https://github.com/Rabbit-Company/RabbitForexAPI) - Forex currency conversion rates\r\n\r\n## Quick Start\r\n\r\n### Prerequisites\r\n\r\nDocker and Docker Compose\r\n\r\n### Configuration\r\n\r\nCreate a `config.json` file:\r\n\r\n```json\r\n{\r\n\t\"server\": {\r\n\t\t\"host\": \"0.0.0.0\",\r\n\t\t\"port\": 3000,\r\n\t\t\"token\": null\r\n\t},\r\n\t\"logger\": {\r\n\t\t\"level\": 3\r\n\t},\r\n\t\"assets\": [\r\n\t\t{\r\n\t\t\t\"symbol\": \"EUR\",\r\n\t\t\t\"quantity\": 1500,\r\n\t\t\t\"exchange\": \"fiat\",\r\n\t\t\t\"currency\": \"USD\",\r\n\t\t\t\"owner\": \"default\"\r\n\t\t},\r\n\t\t{\r\n\t\t\t\"symbol\": \"EUR\",\r\n\t\t\t\"quantity\": 430,\r\n\t\t\t\"exchange\": \"fiat\",\r\n\t\t\t\"currency\": \"EUR\",\r\n\t\t\t\"owner\": \"ziga\"\r\n\t\t},\r\n\t\t{\r\n\t\t\t\"symbol\": \"UBNT\",\r\n\t\t\t\"quantity\": 3.624,\r\n\t\t\t\"exchange\": \"rabbitstocks\",\r\n\t\t\t\"currency\": \"EUR\",\r\n\t\t\t\"owner\": \"default\"\r\n\t\t},\r\n\t\t{\r\n\t\t\t\"symbol\": \"UBNT\",\r\n\t\t\t\"quantity\": 1.31,\r\n\t\t\t\"exchange\": \"rabbitstocks\",\r\n\t\t\t\"currency\": \"EUR\",\r\n\t\t\t\"owner\": \"ziga\"\r\n\t\t},\r\n\t\t{\r\n\t\t\t\"symbol\": \"NET\",\r\n\t\t\t\"quantity\": 4.5,\r\n\t\t\t\"exchange\": \"rabbitstocks\",\r\n\t\t\t\"currency\": \"EUR\",\r\n\t\t\t\"owner\": \"default\"\r\n\t\t},\r\n\t\t{\r\n\t\t\t\"symbol\": \"WISEl\",\r\n\t\t\t\"quantity\": 4,\r\n\t\t\t\"exchange\": \"rabbitstocks\",\r\n\t\t\t\"currency\": \"EUR\",\r\n\t\t\t\"owner\": \"default\"\r\n\t\t},\r\n\t\t{\r\n\t\t\t\"symbol\": \"BTC\",\r\n\t\t\t\"quantity\": 0.043212,\r\n\t\t\t\"exchange\": \"binance\",\r\n\t\t\t\"currency\": \"USD\",\r\n\t\t\t\"owner\": \"default\"\r\n\t\t},\r\n\t\t{\r\n\t\t\t\"symbol\": \"BTC\",\r\n\t\t\t\"quantity\": 0.0003167,\r\n\t\t\t\"exchange\": \"binance\",\r\n\t\t\t\"currency\": \"USD\",\r\n\t\t\t\"owner\": \"ziga\"\r\n\t\t},\r\n\t\t{\r\n\t\t\t\"symbol\": \"ETH\",\r\n\t\t\t\"quantity\": 0.64232,\r\n\t\t\t\"exchange\": \"coinbase\",\r\n\t\t\t\"currency\": \"USD\",\r\n\t\t\t\"owner\": \"default\"\r\n\t\t},\r\n\t\t{\r\n\t\t\t\"symbol\": \"SOL\",\r\n\t\t\t\"quantity\": 0.16,\r\n\t\t\t\"exchange\": \"coinbase\",\r\n\t\t\t\"currency\": \"USD\",\r\n\t\t\t\"owner\": \"default\"\r\n\t\t},\r\n\t\t{\r\n\t\t\t\"symbol\": \"XMR\",\r\n\t\t\t\"quantity\": 2.54,\r\n\t\t\t\"exchange\": \"kraken\",\r\n\t\t\t\"currency\": \"USD\",\r\n\t\t\t\"owner\": \"default\"\r\n\t\t}\r\n\t]\r\n}\r\n```\r\n\r\n### Running with Docker Compose\r\n\r\nCreate `docker-compose.yml` file:\r\n\r\n```yml\r\nservices:\r\n  rabbitassets:\r\n    image: rabbitcompany/rabbitassets:latest\r\n    container_name: rabbitassets\r\n    restart: unless-stopped\r\n    ports:\r\n      - \"3000:3000\"\r\n    volumes:\r\n      - ./config.json:/usr/src/app/config.json\r\n    healthcheck:\r\n      test: [\"CMD\", \"curl\", \"-f\", \"http://localhost:3000/health\"]\r\n      interval: 10s\r\n      timeout: 3s\r\n      retries: 3\r\n      start_period: 5s\r\n```\r\n\r\nStart the project with:\r\n\r\n```bash\r\ndocker-compose up -d\r\n```\r\n\r\n### Manual Docker Run\r\n\r\n```bash\r\ndocker run -d \\\r\n  --name rabbitassets \\\r\n  -p 3000:3000 \\\r\n  -v $(pwd)/config.json:/usr/src/app/config.json \\\r\n  rabbitcompany/rabbitassets:latest\r\n```\r\n\r\n## API Endpoints\r\n\r\n### GET `/health`\r\n\r\nAPI endpoint for checking project health\r\n\r\n### GET `/metrics`\r\n\r\nOpenMetrics format endpoint for Prometheus scraping.\r\n\r\n### GET `/v1/assets`\r\n\r\nJSON API endpoint returning all asset metrics.\r\n\r\nExample response:\r\n\r\n```json\r\n[\r\n\t{\r\n\t\t\"symbol\": \"BTC\",\r\n\t\t\"quantity\": 0.043212,\r\n\t\t\"currentPrice\": 45000.5,\r\n\t\t\"value\": 1944.56,\r\n\t\t\"currency\": \"USD\",\r\n\t\t\"exchange\": \"binance\",\r\n\t\t\"owner\": \"default\"\r\n\t},\r\n\t{\r\n\t\t\"symbol\": \"ETH\",\r\n\t\t\"quantity\": 0.64232,\r\n\t\t\"currentPrice\": 2500.75,\r\n\t\t\"value\": 1605.48,\r\n\t\t\"currency\": \"USD\",\r\n\t\t\"exchange\": \"binance\",\r\n\t\t\"owner\": \"default\"\r\n\t}\r\n]\r\n```\r\n\r\n## [Grafana Dashboard](https://grafana.com/grafana/dashboards/24333)\r\n\r\n![RabbitAssets](https://github.com/Rabbit-Company/RabbitAssets/blob/main/screenshots/RabbitAssets.png?raw=true \"Grafana Dashboard\")\r\n\r\nPre-made Grafana dashboard can be downloaded from here: https://grafana.com/grafana/dashboards/24333","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-11-04T19:30:33.000Z","updatedAt":"2025-11-06T16:56:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24333"},{"rel":"revisions","href":"/dashboards/24333/revisions"},{"rel":"revision","href":"/dashboards/24333/revisions/2"},{"rel":"download","href":"/dashboards/24333/revisions/2/download"},{"rel":"org","href":"/orgs/rabbitcompany"},{"rel":"images","href":"/dashboards/24333/images"},{"rel":"thumbnails","href":"/dashboards/24333/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":1165,"status":1,"statusCode":"active","orgId":30992,"orgSlug":"jskarpet","orgName":"Jon Skarpeteig","slug":"rabbitmq","downloads":2017,"revisionId":1630,"revision":1,"name":"RabbitMQ","description":"Statistics from the RabbitMQ management interface covering Erlang processes, run queue, file descriptors and memory usage","readme":"Metrics collected by the RabbitMQ plugin for CollectD at: <https://github.com/NYTimes/collectd-rabbitmq>\r\n\r\nMetrics include:\r\n- Run Queue\r\n- File descriptors available and used. File descriptors available as sockets, and sockets used\r\n- Disk free as seen by RabbitMQ\r\n- Processors seen by RabbitMQ\r\n- Memory available and used by RabbitMQ\r\n- Erlang processes available and in use","collectorType":"collectd","collectorConfig":"CollectD RabbitMQ plugin from <https://github.com/NYTimes/collectd-rabbitmq>\r\n\r\n    <Plugin \"python\">\r\n      ModulePath \"/usr/local/lib/python2.7/dist-packages\"\r\n      LogTraces false\r\n      Interactive false\r\n      Import \"collectd_rabbitmq.collectd_plugin\"\r\n    \r\n    \r\n      <Module \"collectd_rabbitmq.collectd_plugin\">\r\n        Host \"localhost\"\r\n        Password \"guest\"\r\n        Port \"15672\"\r\n        Realm \"RabbitMQ Management\"\r\n        Scheme \"http\"\r\n        Username \"guest\"\r\n      </Module>\r\n    </Plugin>\r\n","collectorPluginList":"Python plugin","datasource":"InfluxDB","privacy":"public","createdAt":"2016-12-15T11:44:12.000Z","updatedAt":"2017-02-20T14:28:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1165"},{"rel":"revisions","href":"/dashboards/1165/revisions"},{"rel":"revision","href":"/dashboards/1165/revisions/1"},{"rel":"download","href":"/dashboards/1165/revisions/1/download"},{"rel":"org","href":"/orgs/jskarpet"},{"rel":"images","href":"/dashboards/1165/images"},{"rel":"thumbnails","href":"/dashboards/1165/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":8098,"status":1,"statusCode":"active","orgId":193651,"orgSlug":"terentev","orgName":"terentev","slug":"rabbitmq","downloads":602,"revisionId":11038,"revision":1,"name":"RabbitMQ","description":"Queues, connections, channel, memory, cpu. 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[https://seventhstate.io/rabbitmq-monitoring-dashboards](https://seventhstate.io/rabbitmq-monitoring-dashboards)\r\n\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-15T11:31:44.000Z","updatedAt":"2026-01-26T13:30:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20697"},{"rel":"revisions","href":"/dashboards/20697/revisions"},{"rel":"revision","href":"/dashboards/20697/revisions/4"},{"rel":"download","href":"/dashboards/20697/revisions/4/download"},{"rel":"org","href":"/orgs/seventhstate"},{"rel":"images","href":"/dashboards/20697/images"},{"rel":"thumbnails","href":"/dashboards/20697/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20698,"status":1,"statusCode":"active","orgId":1070468,"orgSlug":"seventhstate","orgName":"seventhstate","slug":"rabbitmq-connections-overview-seventh-state-rabbitmq-support","downloads":5908,"revisionId":39663,"revision":5,"name":"RabbitMQ 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It is **not** a broker-health overview — pair it with the stock RabbitMQ-Overview dashboard for that.\r\n\r\n> **Source:** [github.com/SonyCore/rabbitmq-per-object-dashboard](https://github.com/SonyCore/rabbitmq-per-object-dashboard) — file issues and feature requests there.\r\n\r\n---\r\n\r\n## Prerequisites\r\n\r\n- **RabbitMQ** with the `rabbitmq_prometheus` plugin enabled:\r\n\r\n  ```bash\r\n  rabbitmq-plugins enable rabbitmq_prometheus\r\n  ```\r\n\r\n  The per-object endpoint is exposed on port **`15692`** at **`/metrics/per-object`**. See the [RabbitMQ Prometheus docs](https://www.rabbitmq.com/docs/prometheus).\r\n\r\n- **Prometheus** scraping that endpoint under job name **`rabbitmq-per-object`** with an **`env`** label:\r\n\r\n  ```yaml\r\n  scrape_configs:\r\n    - job_name: rabbitmq-per-object\r\n      metrics_path: /metrics/per-object\r\n      scrape_interval: 30s\r\n      static_configs:\r\n        - targets: ['staging.local:15692']\r\n          labels: { env: staging }\r\n        - targets: ['production.local:15692']\r\n          labels: { env: production }\r\n  ```\r\n\r\n  > Every query in this dashboard is pinned to `job=\"rabbitmq-per-object\"`. If you use a different job name, search-and-replace it in the JSON after import.\r\n\r\n- **Grafana 12.3+** with a Prometheus datasource.\r\n\r\n---\r\n\r\n## How to use it\r\n\r\n1. Pick the **env** (e.g. `staging`, `production`).\r\n2. Narrow down the **vhost** (defaults to all).\r\n3. Set **queue** and/or **exchange** to the object(s) you're investigating.\r\n4. Walk top-to-bottom — rows are ordered to match a typical debug flow.\r\n\r\n---\r\n\r\n## Template variables\r\n\r\n| Variable | Notes |\r\n| --- | --- |\r\n| `env` | Required. Sourced from the Prometheus job's `env` label. |\r\n| `vhost` | Multi-select, defaults to all. |\r\n| `queue` | Multi-select. Scoped by `env`, `vhost`, and `exchange`. |\r\n| `exchange` | Multi-select, defaults to all. |\r\n\r\n---\r\n\r\n## Panels\r\n\r\n**QUEUE — state**\r\nQueue depth (ready + unacked) · Messages ready · Messages unacknowledged · Consumers.\r\n\r\n**QUEUE — health**\r\nBacklog per consumer (`messages_ready / consumers`) as a rough drain-timer signal.\r\n\r\n**QUEUE — rates**\r\nPublish rate into the queue · Delivered & acknowledged rate · Redelivery rate.\r\n\r\n**EXCHANGE**\r\nPublish rate · Confirm rate · Unroutable (dropped & returned) — any sustained non-zero value on the last one means message loss or a routing/binding bug.\r\n\r\n**EXCHANGE → QUEUE ROUTING**\r\nPer-binding routing rate, grouped by `(exchange, queue)`. Verifies that a message published to exchange X is actually landing in queue Y.\r\n\r\n**TOP QUEUES / TOP EXCHANGES**\r\nFleet-wide top 20 queues by depth and top 20 exchanges by publish rate. Ignores the queue/exchange filters so you always see the biggest offenders.\r\n\r\n---\r\n\r\n## Metrics required\r\n\r\nAll from the RabbitMQ per-object endpoint:\r\n\r\n- `rabbitmq_queue_messages`\r\n- `rabbitmq_queue_messages_ready`\r\n- `rabbitmq_queue_messages_unacked`\r\n- `rabbitmq_queue_consumers`\r\n- `rabbitmq_queue_messages_published_total`\r\n- `rabbitmq_queue_messages_delivered_total`\r\n- `rabbitmq_queue_messages_acknowledged_total`\r\n- `rabbitmq_queue_messages_redelivered_total`\r\n- `rabbitmq_channel_messages_published_total`\r\n- `rabbitmq_channel_messages_confirmed_total`\r\n- `rabbitmq_channel_messages_unroutable_dropped_total`\r\n- `rabbitmq_channel_messages_unroutable_returned_total`\r\n\r\n---\r\n\r\n## License\r\n\r\nMIT.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-22T22:50:31.000Z","updatedAt":"2026-04-22T23:56:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25205"},{"rel":"revisions","href":"/dashboards/25205/revisions"},{"rel":"revision","href":"/dashboards/25205/revisions/1"},{"rel":"download","href":"/dashboards/25205/revisions/1/download"},{"rel":"org","href":"/orgs/sonyacore"},{"rel":"images","href":"/dashboards/25205/images"},{"rel":"thumbnails","href":"/dashboards/25205/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20701,"status":1,"statusCode":"active","orgId":1070468,"orgSlug":"seventhstate","orgName":"seventhstate","slug":"rabbitmq-queue-details-seventh-state-rabbitmq-support","downloads":10004,"revisionId":39664,"revision":4,"name":"RabbitMQ Queue Details - Seventh State RabbitMQ Support","description":"","readme":"This dashboard gives a detailed view of a single RabbitMQ queue, displaying historical and real-time metrics like message backlog, publish and delivery rates. 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See blow for details.  \r\n__ATTENTION:__ This board needs a yet-as-of-now-to-be-merged version of node_exporter (see below)!\r\n\r\n__Changes to the board:__ (Original: https://grafana.com/grafana/dashboards/12768-victoria-mdadm/)\r\n- improved layout to see history of raid status\r\n- changed raid status to show as percentage\r\n- added disk status history graph\r\n- added sync time remaining\r\n- added sync rate\r\n- replaced deprecated angular graph with new time series graph\r\n\r\n\r\n__Changes to node_explorer:__ (PR: https://github.com/prometheus/node_exporter/pull/3007)  \r\nAdded missing mdadm stats:\r\n- `node_md_disks` # added `{state=\"down\"}`\r\n- `node_md_sync_time_remaining` (seconds)\r\n- `node_md_blocks_synced_speed` UPDATE: renamed to `node_md_sync_time_remaining_seconds`\r\n- `node_md_blocks_synced_pct` UPDATE: renamed to `node_md_blocks_synced_percent`\r\n\r\nNotes:\r\n- One drive was not being shown, as it was in `state=\"down\"` (recovering), which was not reported in the output.\r\n- Using `node_md_blocks_synced / node_md_blocks` as progress percentage created wrong results on my system, as the total-blocks differed from the total-to-be-synced-blocks. This may be due to the raid-level being used (raid5).\r\n```\r\nmd0 : active raid5 sdf1[4] sde1[1] sdc1[2] sdb1[0]\r\n      14650718208 blocks super 1.2 level 5, 512k chunk, algorithm 2 [4/3] [UUU_]\r\n      [===================>.]  recovery = 99.9% (4882207424/4883572736) finish=7.8min speed=2908K/sec\r\n      bitmap: 2/37 pages [8KB], 65536KB chunk\r\n```\r\n\r\n","collectorType":"nodeExporter","collectorConfig":"This yet-as-of-now-to-be-merged version of node_exporter is needed:  \r\nhttps://github.com/prometheus/node_exporter/pull/3007","collectorPluginList":"mdadm","datasource":"Prometheus","privacy":"public","createdAt":"2024-05-01T17:41:21.000Z","updatedAt":"2024-05-09T10:09:26.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20989"},{"rel":"revisions","href":"/dashboards/20989/revisions"},{"rel":"revision","href":"/dashboards/20989/revisions/3"},{"rel":"download","href":"/dashboards/20989/revisions/3/download"},{"rel":"org","href":"/orgs/finomosec"},{"rel":"images","href":"/dashboards/20989/images"},{"rel":"thumbnails","href":"/dashboards/20989/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20645,"status":1,"statusCode":"active","orgId":1070533,"orgSlug":"taoky","orgName":"taoky","slug":"raid-and-ssd","downloads":277,"revisionId":31902,"revision":1,"name":"RAID and SSD","description":"An example of using:\r\n\r\n- smart\r\n- https://github.com/iwvelando/telegraf-exec-zpool-status\r\n- https://github.com/ustclug/raid-telegraf","readme":"A dashboard for monitoring RAID status -- same as what we use in production.","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.smart]]\r\n    use_sudo = true\r\n    attributes = true\r\n\r\n[[inputs.exec]]                                                                 \r\n  commands = [\"/opt/telegraf-exec-zpool-status/telegraf-exec-zpool-status --template=/opt/telegraf-exec-zpool-status/zpool_status_template.txt\"]\r\n  timeout = \"5s\"                                                                \r\n  data_format = \"influx\"\r\n\r\n[[inputs.exec]]\r\n commands = [\"sudo /opt/raid-telegraf/main.py --use megacli\"]\r\n timeout = \"30s\"\r\n data_format = \"influx\"\r\n interval = \"5m\"\r\n```","collectorPluginList":"influxdb","datasource":"InfluxDB","privacy":"public","createdAt":"2024-03-07T16:22:54.000Z","updatedAt":"2024-03-07T16:27:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20645"},{"rel":"revisions","href":"/dashboards/20645/revisions"},{"rel":"revision","href":"/dashboards/20645/revisions/1"},{"rel":"download","href":"/dashboards/20645/revisions/1/download"},{"rel":"org","href":"/orgs/taoky"},{"rel":"images","href":"/dashboards/20645/images"},{"rel":"thumbnails","href":"/dashboards/20645/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9716,"status":1,"statusCode":"active","orgId":231499,"orgSlug":"gorynychdo","orgName":"Igor Sannikov","slug":"raid-smart-monitoring","downloads":775,"revisionId":13517,"revision":4,"name":"RAID Smart Monitoring","description":"Monitoring for RAID discs with smartctl using node_exporter and textfile_collector","readme":"# RAID Smart Monitoring\n\nMonitoring for RAID discs with smartctl using node_exporter and textfile_collector\n\n## Getting started\n\nUse my python textfile collector for this dashboard:\n\n[smartmon_collector](https://github.com/Gorynychdo/smartmon_collector)\n\n## Authors\n\n* **Igor Sannikov** - [Gorynychdo](https://github.com/Gorynychdo)","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-01-28T07:13:39.000Z","updatedAt":"2019-01-28T08:33:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9716"},{"rel":"revisions","href":"/dashboards/9716/revisions"},{"rel":"revision","href":"/dashboards/9716/revisions/4"},{"rel":"download","href":"/dashboards/9716/revisions/4/download"},{"rel":"org","href":"/orgs/gorynychdo"},{"rel":"images","href":"/dashboards/9716/images"},{"rel":"thumbnails","href":"/dashboards/9716/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10306,"status":1,"statusCode":"active","orgId":255996,"orgSlug":"zumkehr","orgName":"zumkehr","slug":"rails-metrics","downloads":16362,"revisionId":31663,"revision":3,"name":"Rails Metrics","description":"","readme":"A generic dashboard for metrics collected by the [prometheus_exporter](https://github.com/discourse/prometheus_exporter) gem. Metrics for Puma/Ruby on Rails (Request Duration, Request Count, ...), Delayed Jobs (Job Duration, Job Count, ...) and memory usage are displayed.\n\nProviding the following variables, this dashboard can be used for multiple applications:\n* *datesource*: The Prometheus instances to fetch the data from.\n* *kubernetes_namespace*: The namespace of the application to inspect.\n* *controller*: Name of the controller\n* *action*: Name of the action, specific to the selected controller.\n* *job*: Name of the ActiveJob","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-06-06T14:42:02.000Z","updatedAt":"2024-02-16T14:58:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10306"},{"rel":"revisions","href":"/dashboards/10306/revisions"},{"rel":"revision","href":"/dashboards/10306/revisions/3"},{"rel":"download","href":"/dashboards/10306/revisions/3/download"},{"rel":"org","href":"/orgs/zumkehr"},{"rel":"images","href":"/dashboards/10306/images"},{"rel":"thumbnails","href":"/dashboards/10306/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18124,"status":1,"statusCode":"active","orgId":797465,"orgSlug":"ordm","orgName":"ordm","slug":"rails-metrics","downloads":363,"revisionId":27828,"revision":1,"name":"Rails Metrics","description":"A generic dashboard for metrics collected by the prometheus_exporter gem","readme":"Based on [Rails Metrics](https://grafana.com/grafana/dashboards/10306-rails-metrics/)\n\nA generic dashboard for metrics collected by the [prometheus_exporter gem](https://github.com/discourse/prometheus_exporter). Metrics for Puma/Ruby on Rails (Request Duration, Request Count, …), Sidekiq (Job Duration, Job Count, …) and memory usage are displayed.\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-17T08:50:47.000Z","updatedAt":"2023-02-17T09:19:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/18124"},{"rel":"revisions","href":"/dashboards/18124/revisions"},{"rel":"revision","href":"/dashboards/18124/revisions/1"},{"rel":"download","href":"/dashboards/18124/revisions/1/download"},{"rel":"org","href":"/orgs/ordm"},{"rel":"images","href":"/dashboards/18124/images"},{"rel":"thumbnails","href":"/dashboards/18124/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15345,"status":1,"statusCode":"active","orgId":567915,"orgSlug":"chinhhoang","orgName":"chinhhoang","slug":"rails-metrics-dev","downloads":333,"revisionId":23056,"revision":1,"name":"Rails Metrics Dev","description":"Basic metrics for web applications built with Ruby on Rails. (Yabeda)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-12-02T08:38:18.000Z","updatedAt":"2021-12-02T08:39:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15345"},{"rel":"revisions","href":"/dashboards/15345/revisions"},{"rel":"revision","href":"/dashboards/15345/revisions/1"},{"rel":"download","href":"/dashboards/15345/revisions/1/download"},{"rel":"org","href":"/orgs/chinhhoang"},{"rel":"images","href":"/dashboards/15345/images"},{"rel":"thumbnails","href":"/dashboards/15345/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":1674,"status":1,"statusCode":"active","orgId":11782,"orgSlug":"mcth","orgName":"Thomas Cheronneau","slug":"rancher","downloads":1048,"revisionId":2241,"revision":1,"name":"Rancher","description":"Prometheus Rancher Exporter","readme":"Rancher Exporter templating for Rancher Stack/Host/Service. \nGet host state. Get Stack/Service Health (OK/NOK). \nOpen issues or give feedback at : https://github.com/tcheronneau/grafana_dashboard","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-03-14T09:24:13.000Z","updatedAt":"2019-02-18T15:05:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1674"},{"rel":"revisions","href":"/dashboards/1674/revisions"},{"rel":"revision","href":"/dashboards/1674/revisions/1"},{"rel":"download","href":"/dashboards/1674/revisions/1/download"},{"rel":"org","href":"/orgs/mcth"},{"rel":"images","href":"/dashboards/1674/images"},{"rel":"thumbnails","href":"/dashboards/1674/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23515,"status":1,"statusCode":"active","orgId":528332,"orgSlug":"rajivreddy","orgName":"rajivreddy","slug":"fleet","downloads":340,"revisionId":37388,"revision":1,"name":"Rancher Fleet Metrics","description":"Rancher Fleet Metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-06-04T04:58:17.000Z","updatedAt":"2025-06-04T05:02:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23515"},{"rel":"revisions","href":"/dashboards/23515/revisions"},{"rel":"revision","href":"/dashboards/23515/revisions/1"},{"rel":"download","href":"/dashboards/23515/revisions/1/download"},{"rel":"org","href":"/orgs/rajivreddy"},{"rel":"images","href":"/dashboards/23515/images"},{"rel":"thumbnails","href":"/dashboards/23515/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4095,"status":1,"statusCode":"active","orgId":107802,"orgSlug":"shelbert","orgName":"Sébastien Helbert","slug":"rancher-hosts-and-services-monitoring","downloads":1131,"revisionId":5614,"revision":2,"name":"Rancher Hosts and Services Monitoring","description":"Hosts and Services Monitoring from Prometheus Rancher Exporter","readme":"Monitor Rancher Hosts, Stack and Services states with alerting (require prometheus-rancher-exporter)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-12-20T12:52:20.000Z","updatedAt":"2017-12-26T15:36:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4095"},{"rel":"revisions","href":"/dashboards/4095/revisions"},{"rel":"revision","href":"/dashboards/4095/revisions/2"},{"rel":"download","href":"/dashboards/4095/revisions/2/download"},{"rel":"org","href":"/orgs/shelbert"},{"rel":"images","href":"/dashboards/4095/images"},{"rel":"thumbnails","href":"/dashboards/4095/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13163,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-link-state-igp-peers-reachability-neighbor-count-summary","downloads":817,"revisionId":25825,"revision":2,"name":"RARE/freeRouter  - Link State IGP peers / reachability & neighbor count summary","description":"Display link state IGP peer reachability and neighbor count metrics","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor lsigp4int\r\n path lsigp4int/peer/peer\r\n prefix freertr-lsigp4int\r\n prepend lsigp4_iface_\r\n command sho ipv4 ospf 1 interface\r\n name 0 proto=\"ospf1\",ifc=\r\n key name lsigp4int/peer\r\n replace \\. _\r\n column 1 name neighbors\r\n exit\r\nsensor lsigp4peer\r\n path lsigp4peer/peer/peer\r\n prefix freertr-lsigp4peer\r\n prepend lsigp4_peers_\r\n command sho ipv4 ospf 1 topology 0 | inc reach\r\n name 0 proto=\"ospf1\",node=\r\n key name lsigp4peer/peer\r\n replace \\. _\r\n column 2 name reachable\r\n column 2 replace false 0\r\n column 2 replace true 1\r\n column 3 name neighbors\r\n exit\r\nsensor lsigp4perf\r\n path lsigp4perf/peer/peer\r\n prefix freertr-lsigp4perf\r\n prepend lsigp4_perf_\r\n command sho ipv4 ospf 1 spf 0 | inc reachable|fill|calc|run\r\n key name lsigp4perf/peer\r\n labels proto=\"ospf1\"\r\n skip 0\r\n column 1 name val\r\n exit\r\nsensor lsigp6int\r\n path lsigp6int/peer/peer\r\n prefix freertr-lsigp6int\r\n prepend lsigp6_iface_\r\n command sho ipv6 ospf 1 interface\r\n name 0 proto=\"ospf1\",ifc=\r\n key name lsigp6int/peer\r\n replace \\. _\r\n column 1 name neighbors\r\n exit              \r\nsensor lsigp6peer\r\n path lsigp6peer/peer/peer\r\n prefix freertr-lsigp6peer\r\n prepend lsigp6_peers_\r\n command sho ipv6 ospf 1 topology 0 | inc reach\r\n name 0 proto=\"ospf1\",node=\r\n key name lsigp6peer/peer\r\n replace \\. _\r\n replace \\/ _\r\n column 2 name reachable\r\n column 2 replace false 0\r\n column 2 replace true 1\r\n column 3 name neighbors\r\n exit\r\nsensor lsigp6perf\r\n path lsigp6perf/peer/peer\r\n prefix freertr-lsigp6perf\r\n prepend lsigp6_perf_\r\n command sho ipv6 ospf 1 spf 0 | inc reachable|fill|calc|run\r\n key name lsigp6perf/peer\r\n labels proto=\"ospf1\"\r\n skip 0\r\n column 1 name val\r\n exit\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor lsigp4int\r\n sensor lsigp4peer\r\n sensor lsigp4perf\r\n sensor lsigp6int\r\n sensor lsigp6peer\r\n sensor lsigp6perf\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n!test\r\n!test with grafana support team\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T17:49:09.000Z","updatedAt":"2022-10-27T16:44:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13163"},{"rel":"revisions","href":"/dashboards/13163/revisions"},{"rel":"revision","href":"/dashboards/13163/revisions/2"},{"rel":"download","href":"/dashboards/13163/revisions/2/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13163/images"},{"rel":"thumbnails","href":"/dashboards/13163/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16843,"status":1,"statusCode":"active","orgId":680152,"orgSlug":"imraanabrahams","orgName":"imraanabrahams","slug":"rare-freerouter-link-state-igp-peers-reachability-neighbor-count-summary","downloads":259,"revisionId":25817,"revision":1,"name":"RARE/freeRouter  - Link State IGP peers / reachability & neighbor count summary","description":"Display link state IGP peer reachability and neighbor count metrics","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-09-03T11:34:33.000Z","updatedAt":"2022-09-03T11:34:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16843"},{"rel":"revisions","href":"/dashboards/16843/revisions"},{"rel":"revision","href":"/dashboards/16843/revisions/1"},{"rel":"download","href":"/dashboards/16843/revisions/1/download"},{"rel":"org","href":"/orgs/imraanabrahams"},{"rel":"images","href":"/dashboards/16843/images"},{"rel":"thumbnails","href":"/dashboards/16843/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13162,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-routing-computed-redistributed","downloads":1309,"revisionId":25857,"revision":4,"name":"RARE/freeRouter  - Routing / Computed - Redistributed","description":"Test GS","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n```\r\n metric routing4 command sho ipv4 protocol inet | beg computed\r\n metric routing4 prepend routing_\r\n metric routing4 name 0 proto=\r\n metric routing4 addname 1 * id=\r\n metric routing4 skip 2\r\n metric routing4 column 2 name ifaces\r\n metric routing4 column 3 name neighbors\r\n metric routing4 column 4 name computed_unicast\r\n metric routing4 column 5 name computed_multicast\r\n metric routing4 column 6 name computed_flowspec\r\n metric routing4 column 7 name computed_changed\r\n metric routing4 column 9 name redisted_unicast\r\n metric routing4 column 10 name redisted_multicast\r\n metric routing4 column 11 name redisted_flowspec\r\n metric routing4 column 12 name redisted_changed\r\n\r\n metric routing6 command sho ipv6 protocol inet | beg computed\r\n metric routing6 prepend routing_\r\n metric routing6 name 0 proto=\r\n metric routing6 addname 1 * id=\r\n metric routing6 skip 2\r\n metric routing6 column 2 name ifaces\r\n metric routing6 column 3 name neighbors\r\n metric routing6 column 4 name computed_unicast\r\n metric routing6 column 5 name computed_multicast\r\n metric routing6 column 6 name computed_flowspec\r\n metric routing6 column 7 name computed_changed\r\n metric routing6 column 9 name redisted_unicast\r\n metric routing6 column 10 name redisted_multicast\r\n metric routing6 column 11 name redisted_flowspec\r\n metric routing6 column 12 name redisted_changed\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T17:46:22.000Z","updatedAt":"2022-10-17T19:08:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13162"},{"rel":"revisions","href":"/dashboards/13162/revisions"},{"rel":"revision","href":"/dashboards/13162/revisions/4"},{"rel":"download","href":"/dashboards/13162/revisions/4/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13162/images"},{"rel":"thumbnails","href":"/dashboards/13162/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13161,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-routing-interfaces","downloads":1305,"revisionId":25858,"revision":4,"name":"RARE/freeRouter  - Routing / Interfaces","description":"","readme":"`scope:local` to freeRouter node\n\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\n```\n metric routing4 command sho ipv4 protocol inet | beg computed\n metric routing4 prepend routing_\n metric routing4 name 0 proto=\n metric routing4 addname 1 * id=\n metric routing4 skip 2\n metric routing4 column 2 name ifaces\n metric routing4 column 3 name neighbors\n metric routing4 column 4 name computed_unicast\n metric routing4 column 5 name computed_multicast\n metric routing4 column 6 name computed_flowspec\n metric routing4 column 7 name computed_changed\n metric routing4 column 9 name redisted_unicast\n metric routing4 column 10 name redisted_multicast\n metric routing4 column 11 name redisted_flowspec\n metric routing4 column 12 name redisted_changed\n\n metric routing6 command sho ipv6 protocol inet | beg computed\n metric routing6 prepend routing_\n metric routing6 name 0 proto=\n metric routing6 addname 1 * id=\n metric routing6 skip 2\n metric routing6 column 2 name ifaces\n metric routing6 column 3 name neighbors\n metric routing6 column 4 name computed_unicast\n metric routing6 column 5 name computed_multicast\n metric routing6 column 6 name computed_flowspec\n metric routing6 column 7 name computed_changed\n metric routing6 column 9 name redisted_unicast\n metric routing6 column 10 name redisted_multicast\n metric routing6 column 11 name redisted_flowspec\n metric routing6 column 12 name redisted_changed\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T17:43:33.000Z","updatedAt":"2022-09-05T14:50:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13161"},{"rel":"revisions","href":"/dashboards/13161/revisions"},{"rel":"revision","href":"/dashboards/13161/revisions/4"},{"rel":"download","href":"/dashboards/13161/revisions/4/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13161/images"},{"rel":"thumbnails","href":"/dashboards/13161/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13160,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-routing-neighbors","downloads":1285,"revisionId":25859,"revision":4,"name":"RARE/freeRouter  - Routing / Neighbors","description":"","readme":"`scope:local` to freeRouter node\n\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\n```\n metric routing4 command sho ipv4 protocol inet | beg computed\n metric routing4 prepend routing_\n metric routing4 name 0 proto=\n metric routing4 addname 1 * id=\n metric routing4 skip 2\n metric routing4 column 2 name ifaces\n metric routing4 column 3 name neighbors\n metric routing4 column 4 name computed_unicast\n metric routing4 column 5 name computed_multicast\n metric routing4 column 6 name computed_flowspec\n metric routing4 column 7 name computed_changed\n metric routing4 column 9 name redisted_unicast\n metric routing4 column 10 name redisted_multicast\n metric routing4 column 11 name redisted_flowspec\n metric routing4 column 12 name redisted_changed\n\n metric routing6 command sho ipv6 protocol inet | beg computed\n metric routing6 prepend routing_\n metric routing6 name 0 proto=\n metric routing6 addname 1 * id=\n metric routing6 skip 2\n metric routing6 column 2 name ifaces\n metric routing6 column 3 name neighbors\n metric routing6 column 4 name computed_unicast\n metric routing6 column 5 name computed_multicast\n metric routing6 column 6 name computed_flowspec\n metric routing6 column 7 name computed_changed\n metric routing6 column 9 name redisted_unicast\n metric routing6 column 10 name redisted_multicast\n metric routing6 column 11 name redisted_flowspec\n metric routing6 column 12 name redisted_changed\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T17:40:19.000Z","updatedAt":"2022-09-05T14:53:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13160"},{"rel":"revisions","href":"/dashboards/13160/revisions"},{"rel":"revision","href":"/dashboards/13160/revisions/4"},{"rel":"download","href":"/dashboards/13160/revisions/4/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13160/images"},{"rel":"thumbnails","href":"/dashboards/13160/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13159,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-bfd-states","downloads":783,"revisionId":25847,"revision":2,"name":"RARE/freeRouter - BFD states","description":"Display BFP state metrics","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor bfd4\r\npath bfd4/peer/peer\r\nprefix freertr-bfd4\r\nkey name bfd4/peer\r\ncommand sho ipv4 bfd inet neighbor\r\nprepend bfd4_\r\nname 1 ip=\r\nreplace \\. _\r\ncolumn 2 name state\r\ncolumn 2 replace down 0\r\ncolumn 2 replace init 1\r\ncolumn 2 replace shut -1\r\ncolumn 2 replace up 2\r\n.\r\nexit\r\n\r\nsensor bfd6\r\npath bfd6/peer/peer\r\nprefix freertr-bfd6\r\nkey name bfd6/peer\r\ncommand sho ipv6 bfd inet neighbor\r\nprepend bfd6_\r\nname 1 ip=\r\nreplace \\: _\r\ncolumn 2 name state\r\ncolumn 2 replace down 0\r\ncolumn 2 replace init 1\r\ncolumn 2 replace shut -1\r\ncolumn 2 replace up 2\r\n.\r\nexit\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor bfd4\r\n sensor bfd6\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T17:36:36.000Z","updatedAt":"2022-09-05T13:39:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13159"},{"rel":"revisions","href":"/dashboards/13159/revisions"},{"rel":"revision","href":"/dashboards/13159/revisions/2"},{"rel":"download","href":"/dashboards/13159/revisions/2/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13159/images"},{"rel":"thumbnails","href":"/dashboards/13159/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13158,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-bgp-peer-learned-advertised","downloads":987,"revisionId":25826,"revision":2,"name":"RARE/freeRouter - BGP peer learned / advertised","description":"Display BGP peer learned and advertised prefix metrics","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor bgp4peer\r\n path bgp4/peer/peer\r\n prefix freertr-bgp4peer\r\n prepend bgp4_peer_\r\n command sho ipv4 bgp 1 summ\r\n name 0 peer=\r\n key name bgp4/peer\r\n replace \\. _\r\n column 2 name state\r\n column 2 replace false 0\r\n column 2 replace true 1\r\n column 3 name learn\r\n column 4 name advert\r\n exit\r\nsensor bgp4perf\r\n path bgp4/perf/perf\r\n prefix freertr-bgp4perf\r\n prepend bgp4_perf_\r\n command sho ipv4 bgp 1 best | exc last\r\n key name bgp4/perf\r\n replace \\s _\r\n column 1 name val\r\n exit\r\nsensor bgp6peer\r\n path bgp6/peer/peer\r\n prefix freertr-bgp6peer\r\n prepend bgp6_peer_\r\n command sho ipv6 bgp 1 summ\r\n name 0 peer=\r\n key name bgp6/peer\r\n replace \\: _\r\n column 2 name state\r\n column 2 replace false 0\r\n column 2 replace true 1\r\n column 3 name advert\r\n exit\r\nsensor bgp6perf\r\n path bgp6/perf/perf\r\n prefix freertr-bgp6perf\r\n prepend bgp6_perf_\r\n command sho ipv6 bgp 1 best | exc last\r\n key name bgp6/perf\r\n replace \\s _      \r\n column 1 name val\r\n exit\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor bgp4peer\r\n sensor bgp4perf\r\n sensor bgp6peer\r\n sensor bgp6perf\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T17:34:19.000Z","updatedAt":"2022-09-05T09:42:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13158"},{"rel":"revisions","href":"/dashboards/13158/revisions"},{"rel":"revision","href":"/dashboards/13158/revisions/2"},{"rel":"download","href":"/dashboards/13158/revisions/2/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13158/images"},{"rel":"thumbnails","href":"/dashboards/13158/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13157,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-bgp-performance","downloads":888,"revisionId":25827,"revision":2,"name":"RARE/freeRouter - BGP performance","description":"Display BGP performance metrics","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor bgp4peer\r\n path bgp4/peer/peer\r\n prefix freertr-bgp4peer\r\n prepend bgp4_peer_\r\n command sho ipv4 bgp 1 summ\r\n name 0 peer=\r\n key name bgp4/peer\r\n replace \\. _\r\n column 2 name state\r\n column 2 replace false 0\r\n column 2 replace true 1\r\n column 3 name learn\r\n column 4 name advert\r\n exit\r\nsensor bgp4perf\r\n path bgp4/perf/perf\r\n prefix freertr-bgp4perf\r\n prepend bgp4_perf_\r\n command sho ipv4 bgp 1 best | exc last\r\n key name bgp4/perf\r\n replace \\s _\r\n column 1 name val\r\n exit\r\nsensor bgp6peer\r\n path bgp6/peer/peer\r\n prefix freertr-bgp6peer\r\n prepend bgp6_peer_\r\n command sho ipv6 bgp 1 summ\r\n name 0 peer=\r\n key name bgp6/peer\r\n replace \\: _\r\n column 2 name state\r\n column 2 replace false 0\r\n column 2 replace true 1\r\n column 3 name advert\r\n exit\r\nsensor bgp6perf\r\n path bgp6/perf/perf\r\n prefix freertr-bgp6perf\r\n prepend bgp6_perf_\r\n command sho ipv6 bgp 1 best | exc last\r\n key name bgp6/perf\r\n replace \\s _      \r\n column 1 name val\r\n exit\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor bgp4peer\r\n sensor bgp4perf\r\n sensor bgp6peer\r\n sensor bgp6perf\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T17:28:44.000Z","updatedAt":"2022-09-05T09:49:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13157"},{"rel":"revisions","href":"/dashboards/13157/revisions"},{"rel":"revision","href":"/dashboards/13157/revisions/2"},{"rel":"download","href":"/dashboards/13157/revisions/2/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13157/images"},{"rel":"thumbnails","href":"/dashboards/13157/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13156,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-bmp-metrics","downloads":1083,"revisionId":25849,"revision":3,"name":"RARE/freeRouter - BMP metrics","description":"Display BMP metrics","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor bmp\r\npath bmp/peer/peer\r\nprefix freertr-bmp\r\nkey name bmp/peer\r\ncommand sho bmp bmp\r\nprepend bmp_\r\nname 0 from=\r\naddname 1 * rpeer=\r\nreplace \\. _\r\nreplace \\: _\r\ncolumn 2 name asn\r\ncolumn 3 name state\r\ncolumn 3 replace false 0\r\ncolumn 3 replace true 1\r\ncolumn 4 name flaps\r\n.\r\nexit\r\n\r\nsensor bmp-rtr1vh\r\npath bmp-rtr1vh/bmp-rtr1vh\r\nprefix freertr-bmp-nodesum\r\nkey name bmp/bmp-rtr1vh\r\nprepend bmp_nodesum\r\ncommand sho bmp bmp 195.111.97.108 | include rep\\s|\\sin|\\sout\r\nname 0 data=\r\nlabels node=\"rtr1vh\"\r\nreplace \\s _\r\ncolumn 1 name val\r\n.\r\nexit\r\n\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor bmp\r\n sensor bmp-rtr1vh\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T17:24:22.000Z","updatedAt":"2022-09-05T13:57:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13156"},{"rel":"revisions","href":"/dashboards/13156/revisions"},{"rel":"revision","href":"/dashboards/13156/revisions/3"},{"rel":"download","href":"/dashboards/13156/revisions/3/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13156/images"},{"rel":"thumbnails","href":"/dashboards/13156/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13244,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-bridge-mac-bytes","downloads":286,"revisionId":25848,"revision":2,"name":"RARE/freeRouter - bridge MAC bytes","description":"Display bridge byte metrics","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor bridge\r\npath bridge/peer/peer\r\nprefix freertr-bridge\r\nkey name bridge/peer\r\ncommand sho bridge 1 | beg addr\r\nprepend br_mac_\r\nname 0 mac=\r\naddname 1 * ifc=\r\nreplace \\. _\r\ncolumn 3 name pack_tx\r\ncolumn 3 split + typ=\"sw\" typ=\"hw\"\r\ncolumn 4 name pack_rx\r\ncolumn 4 split + typ=\"sw\" typ=\"hw\"\r\ncolumn 5 name pack_dr\r\ncolumn 5 split + typ=\"sw\" typ=\"hw\"\r\ncolumn 6 name byte_tx\r\ncolumn 6 split + typ=\"sw\" typ=\"hw\"\r\ncolumn 7 name byte_rx\r\ncolumn 7 split + typ=\"sw\" typ=\"hw\"\r\ncolumn 8 name byte_dr\r\ncolumn 8 split + typ=\"sw\" typ=\"hw\"\r\n.\r\nexit\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor bridge\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-22T09:04:17.000Z","updatedAt":"2022-09-05T13:48:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13244"},{"rel":"revisions","href":"/dashboards/13244/revisions"},{"rel":"revision","href":"/dashboards/13244/revisions/2"},{"rel":"download","href":"/dashboards/13244/revisions/2/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13244/images"},{"rel":"thumbnails","href":"/dashboards/13244/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13246,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-bridge-mac-packet","downloads":543,"revisionId":19230,"revision":1,"name":"RARE/freeRouter - bridge MAC packet","description":"Display Bridge MAC packet metrics","readme":"`scope:local` to freeRouter node\n\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\n```\n metric brmac command sho bridge 1 | beg addr\n metric brmac prepend br_mac_\n metric brmac name 0 mac=\n metric brmac addname 1 * ifc=\n metric brmac replace \\. _\n metric brmac column 3 name pack_tx\n metric brmac column 3 split + typ=\"sw\" typ=\"hw\"\n metric brmac column 4 name pack_rx\n metric brmac column 4 split + typ=\"sw\" typ=\"hw\"\n metric brmac column 5 name pack_dr\n metric brmac column 5 split + typ=\"sw\" typ=\"hw\"\n metric brmac column 6 name byte_tx\n metric brmac column 6 split + typ=\"sw\" typ=\"hw\"\n metric brmac column 7 name byte_rx\n metric brmac column 7 split + typ=\"sw\" typ=\"hw\"\n metric brmac column 8 name byte_dr\n metric brmac column 8 split + typ=\"sw\" typ=\"hw\"\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-22T09:32:04.000Z","updatedAt":"2020-10-22T09:37:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13246"},{"rel":"revisions","href":"/dashboards/13246/revisions"},{"rel":"revision","href":"/dashboards/13246/revisions/1"},{"rel":"download","href":"/dashboards/13246/revisions/1/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13246/images"},{"rel":"thumbnails","href":"/dashboards/13246/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13155,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-distance-vector-igp-interface","downloads":767,"revisionId":25852,"revision":2,"name":"RARE/freeRouter - Distance Vector IGP interface","description":"Display distance vector IGP interface metrics","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor dvigp4int\r\npath dvigp4int/peer/peer\r\nprefix freertr-dvigp4int\r\nkey name dvigp4int/peer\r\ncommand sho ipv4 pvrp 1 interface\r\nprepend dvigp4_iface_\r\nname 0 proto=\"pvrp1\",ifc=\r\nreplace \\. _\r\ncolumn 1 name neighbors\r\n.\r\nexit\r\n\r\nsensor dvigp4peer\r\npath dvigp4peer/peer/peer\r\nprefix freertr-dvigp4peer\r\nkey name dvigp4peer/peer\r\ncommand sho ipv4 pvrp 1 summary\r\nprepend dvigp4_peers_\r\nname 4 proto=\"pvrp1\",ip=\r\nreplace \\. _\r\ncolumn 5 name learn\r\ncolumn 6 name advert\r\n.\r\nexit\r\n\r\nsensor dvigp6int\r\npath dvigp6int/peer/peer\r\nprefix freertr-dvigp6int\r\nkey name dvigp6int/peer\r\ncommand sho ipv6 pvrp 1 interface\r\nprepend dvigp6_iface_\r\nname 0 proto=\"pvrp1\",ifc=\r\nreplace \\. _\r\ncolumn 1 name neighbors\r\n.\r\nexit\r\n\r\nsensor dvigp6peer\r\npath dvigp6peer/peer/peer\r\nprefix freertr-dvigp6peer\r\nkey name dvigp6peer/peer\r\ncommand sho ipv6 pvrp 1 summary\r\nprepend dvigp6_peers_\r\nname 4 proto=\"pvrp1\",ip=\r\nreplace \\: _\r\ncolumn 5 name learn\r\ncolumn 6 name advert\r\n.\r\nexit\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor dvigp4int\r\n sensor dvigp4peer\r\n sensor dvigp6peer\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T17:21:40.000Z","updatedAt":"2022-09-05T14:14:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13155"},{"rel":"revisions","href":"/dashboards/13155/revisions"},{"rel":"revision","href":"/dashboards/13155/revisions/2"},{"rel":"download","href":"/dashboards/13155/revisions/2/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13155/images"},{"rel":"thumbnails","href":"/dashboards/13155/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13154,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-distance-vector-igp-peers","downloads":796,"revisionId":25853,"revision":2,"name":"RARE/freeRouter - Distance Vector IGP peers","description":"Display distance vector IGP peer metrics","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor dvigp4int\r\npath dvigp4int/peer/peer\r\nprefix freertr-dvigp4int\r\nkey name dvigp4int/peer\r\ncommand sho ipv4 pvrp 1 interface\r\nprepend dvigp4_iface_\r\nname 0 proto=\"pvrp1\",ifc=\r\nreplace \\. _\r\ncolumn 1 name neighbors\r\n.\r\nexit\r\n\r\nsensor dvigp4peer\r\npath dvigp4peer/peer/peer\r\nprefix freertr-dvigp4peer\r\nkey name dvigp4peer/peer\r\ncommand sho ipv4 pvrp 1 summary\r\nprepend dvigp4_peers_\r\nname 4 proto=\"pvrp1\",ip=\r\nreplace \\. _\r\ncolumn 5 name learn\r\ncolumn 6 name advert\r\n.\r\nexit\r\n\r\nsensor dvigp6int\r\npath dvigp6int/peer/peer\r\nprefix freertr-dvigp6int\r\nkey name dvigp6int/peer\r\ncommand sho ipv6 pvrp 1 interface\r\nprepend dvigp6_iface_\r\nname 0 proto=\"pvrp1\",ifc=\r\nreplace \\. _\r\ncolumn 1 name neighbors\r\n.\r\nexit\r\n\r\nsensor dvigp6peer\r\npath dvigp6peer/peer/peer\r\nprefix freertr-dvigp6peer\r\nkey name dvigp6peer/peer\r\ncommand sho ipv6 pvrp 1 summary\r\nprepend dvigp6_peers_\r\nname 4 proto=\"pvrp1\",ip=\r\nreplace \\: _\r\ncolumn 5 name learn\r\ncolumn 6 name advert\r\n.\r\nexit\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor dvigp4int\r\n sensor dvigp4peer\r\n sensor dvigp6peer\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T17:18:27.000Z","updatedAt":"2022-09-05T14:17:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13154"},{"rel":"revisions","href":"/dashboards/13154/revisions"},{"rel":"revision","href":"/dashboards/13154/revisions/2"},{"rel":"download","href":"/dashboards/13154/revisions/2/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13154/images"},{"rel":"thumbnails","href":"/dashboards/13154/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13153,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-interfaces-bytes","downloads":351,"revisionId":25871,"revision":5,"name":"RARE/freeRouter - interfaces bytes","description":"Display interface bytes metrics","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor ifaces-hw\r\npath interfaces-hw/interface/counter\r\nprefix freertr-ifaces\r\nkey name interfaces-hw/interface\r\ncommand sho inter hwsumm\r\nprepend iface_hw_byte_\r\nname 0 ifc=\r\nreplace \\. _\r\ncolumn 1 name st\r\ncolumn 1 replace admin -1\r\ncolumn 1 replace down 0\r\ncolumn 1 replace up 1\r\ncolumn 2 name tx\r\ncolumn 3 name rx\r\ncolumn 4 name dr\r\n.\r\nexit\r\n\r\nsensor ifaces-sw\r\npath interfaces-sw/interface/counter\r\nprefix freertr-ifaces\r\nkey name interfaces-sw/interface\r\ncommand sho inter swsumm\r\nprepend iface_sw_byte_\r\nname 0 ifc=\r\nreplace \\. _\r\ncolumn 1 name st\r\ncolumn 1 replace admin -1\r\ncolumn 1 replace down 0\r\ncolumn 1 replace up 1\r\ncolumn 2 name tx\r\ncolumn 3 name rx\r\ncolumn 4 name dr\r\n.\r\nexit\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor ifaces-hw\r\n sensor ifaces-sw\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T17:14:32.000Z","updatedAt":"2022-09-06T10:00:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13153"},{"rel":"revisions","href":"/dashboards/13153/revisions"},{"rel":"revision","href":"/dashboards/13153/revisions/5"},{"rel":"download","href":"/dashboards/13153/revisions/5/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13153/images"},{"rel":"thumbnails","href":"/dashboards/13153/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13152,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-interfaces-packets","downloads":303,"revisionId":25872,"revision":5,"name":"RARE/freeRouter - interfaces packets","description":"Display interface packet metrics","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor ifaces-hwp\r\npath interfaces-hwp/interface/counter\r\nprefix freertr-ifaces\r\nkey name interfaces-hwp/interface\r\ncommand sho inter hwsumm\r\nprepend iface_hw_byte_\r\nname 0 ifc=\r\nreplace \\. _\r\ncolumn 1 name st\r\ncolumn 1 replace admin -1\r\ncolumn 1 replace down 0\r\ncolumn 1 replace up 1\r\ncolumn 2 name tx\r\ncolumn 3 name rx\r\ncolumn 4 name dr\r\n.\r\nexit\r\n\r\nsensor ifaces-swp\r\npath interfaces-swp/interface/counter\r\nprefix freertr-ifaces\r\nkey name interfaces-swp/interface\r\ncommand sho inter swsumm\r\nprepend iface_sw_byte_\r\nname 0 ifc=\r\nreplace \\. _\r\ncolumn 1 name st\r\ncolumn 1 replace admin -1\r\ncolumn 1 replace down 0\r\ncolumn 1 replace up 1\r\ncolumn 2 name tx\r\ncolumn 3 name rx\r\ncolumn 4 name dr\r\n.\r\nexit\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor ifaces-hwp\r\n sensor ifaces-swp\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T17:09:12.000Z","updatedAt":"2022-09-06T10:01:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13152"},{"rel":"revisions","href":"/dashboards/13152/revisions"},{"rel":"revision","href":"/dashboards/13152/revisions/5"},{"rel":"download","href":"/dashboards/13152/revisions/5/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13152/images"},{"rel":"thumbnails","href":"/dashboards/13152/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13151,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-ldp-null-dashboard","downloads":820,"revisionId":25850,"revision":2,"name":"RARE/freeRouter - LDP null dashboard","description":"LDP dashboard global to a backbone network ","readme":"`scope:global` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor ldp4nul\r\npath ldp4nul/peer/peer\r\nprefix freertr-ldp4nul\r\nkey name ldp4nul/peer\r\ncommand sho ipv4 ldp inet nulled-summary\r\nprepend ldp4null_\r\nname 3 ip=\r\nskip 2\r\nreplace \\. _\r\ncolumn 0 name prefix_learn\r\ncolumn 1 name prefix_advert\r\ncolumn 2 name prefix_nulled\r\n.\r\nexit\r\n\r\nsensor ldp6nul\r\npath ldp6nul/peer/peer\r\nprefix freertr-ldp6nul\r\nkey name ldp6nul/peer\r\ncommand sho ipv6 ldp inet nulled-summary\r\nprepend ldp6null_\r\nname 3 ip=\r\nskip 2\r\nreplace \\: _\r\ncolumn 0 name prefix_learn\r\ncolumn 1 name prefix_advert\r\ncolumn 2 name prefix_nulled\r\n.\r\nexit\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor ldp4nul\r\n sensor ldp6nul\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T16:29:17.000Z","updatedAt":"2022-09-05T14:05:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13151"},{"rel":"revisions","href":"/dashboards/13151/revisions"},{"rel":"revision","href":"/dashboards/13151/revisions/2"},{"rel":"download","href":"/dashboards/13151/revisions/2/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13151/images"},{"rel":"thumbnails","href":"/dashboards/13151/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13150,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-ldp-summary","downloads":765,"revisionId":25851,"revision":2,"name":"RARE/freeRouter - LDP summary","description":"Display LDP summary metrics","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor ldp4sum\r\npath ldp4sum/peer/peer\r\nprefix freertr-ldp4sum\r\nkey name ldp4sum/peer\r\ncommand sho ipv4 ldp inet summary\r\nprepend ldp4_\r\nname 6 ip=\r\nskip 2\r\nreplace \\. _\r\ncolumn 0 name prefix_learn\r\ncolumn 1 name prefix_advert\r\ncolumn 2 name layer2_learn\r\ncolumn 3 name layer2_advert\r\ncolumn 4 name p2mp_learn\r\ncolumn 5 name p2mp_advert\r\n.\r\nexit\r\n\r\nsensor ldp6sum\r\npath ldp6sum/peer/peer\r\nprefix freertr-ldp6sum\r\nkey name ldp6sum/peer\r\ncommand sho ipv6 ldp inet summary\r\nprepend ldp6_\r\nname 6 ip=\r\nskip 2\r\nreplace \\: _\r\ncolumn 0 name prefix_learn\r\ncolumn 1 name prefix_advert\r\ncolumn 2 name layer2_learn\r\ncolumn 3 name layer2_advert\r\ncolumn 4 name p2mp_learn\r\ncolumn 5 name p2mp_advert\r\n.\r\nexit\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor ldp4sum\r\n sensor ldp6sum\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T16:24:46.000Z","updatedAt":"2022-09-05T14:09:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13150"},{"rel":"revisions","href":"/dashboards/13150/revisions"},{"rel":"revision","href":"/dashboards/13150/revisions/2"},{"rel":"download","href":"/dashboards/13150/revisions/2/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13150/images"},{"rel":"thumbnails","href":"/dashboards/13150/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13149,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-link-state-igp-interface","downloads":286,"revisionId":25856,"revision":2,"name":"RARE/freeRouter - Link state IGP interface","description":"Display IGP link state interface metrics","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor lsigp4int\r\npath lsigp4int/peer/peer\r\nprefix freertr-lsigp4int\r\nkey name lsigp4int/peer\r\ncommand sho ipv4 ospf 1 interface\r\nprepend lsigp4_iface_\r\nname 0 proto=\"ospf1\",ifc=\r\nreplace \\. _\r\ncolumn 1 name neighbors\r\n.\r\nexit\r\n\r\nsensor lsigp4peer\r\npath lsigp4peer/peer/peer\r\nprefix freertr-lsigp4peer\r\nkey name lsigp4peer/peer\r\ncommand sho ipv4 ospf 1 topology 0 | inc reach\r\nprepend lsigp4_peers_\r\nname 0 proto=\"ospf1\",node=\r\nreplace \\. _\r\ncolumn 2 name reachable\r\ncolumn 2 replace false 0\r\ncolumn 2 replace true 1\r\ncolumn 3 name neighbors\r\n.\r\nexit\r\n\r\nsensor lsigp4perf\r\npath lsigp4perf/peer/peer\r\nprefix freertr-lsigp4perf\r\nkey name lsigp4perf/peer\r\ncommand sho ipv4 ospf 1 spf 0 | inc reachable|fill|calc|run\r\nprepend lsigp4_perf_\r\nlabels proto=\"ospf1\"\r\nskip 0\r\ncolumn 1 name val\r\n.\r\nexit\r\n\r\nsensor lsigp6int\r\npath lsigp6int/peer/peer\r\nprefix freertr-lsigp6int\r\nkey name lsigp6int/peer\r\ncommand sho ipv6 ospf 1 interface\r\nprepend lsigp6_iface_\r\nname 0 proto=\"ospf1\",ifc=\r\nreplace \\. _\r\ncolumn 1 name neighbors\r\n.\r\nexit\r\n\r\nsensor lsigp6peer\r\npath lsigp6peer/peer/peer\r\nprefix freertr-lsigp6peer\r\nkey name lsigp6peer/peer\r\ncommand sho ipv6 ospf 1 topology 0 | inc reach\r\nprepend lsigp6_peers_\r\nname 0 proto=\"ospf1\",node=\r\nreplace \\. _\r\nreplace \\/ _\r\ncolumn 2 name reachable\r\ncolumn 2 replace false 0\r\ncolumn 2 replace true 1\r\ncolumn 3 name neighbors\r\n.\r\nexit\r\n\r\nsensor lsigp6perf\r\npath lsigp6perf/peer/peer\r\nprefix freertr-lsigp6perf\r\nkey name lsigp6perf/peer\r\ncommand sho ipv6 ospf 1 spf 0 | inc reachable|fill|calc|run\r\nprepend lsigp6_perf_\r\nlabels proto=\"ospf1\"\r\nskip 0\r\ncolumn 1 name val\r\n.\r\nexit\r\n\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor lsigp4int\r\n sensor lsigp4peer\r\n sensor lsigp4perf\r\n sensor lsigp6int\r\n sensor lsigp6peer\r\n sensor lsigp6perf\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T15:55:10.000Z","updatedAt":"2022-09-05T14:46:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13149"},{"rel":"revisions","href":"/dashboards/13149/revisions"},{"rel":"revision","href":"/dashboards/13149/revisions/2"},{"rel":"download","href":"/dashboards/13149/revisions/2/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13149/images"},{"rel":"thumbnails","href":"/dashboards/13149/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13148,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-link-state-igp-performance-and-neighbor-count","downloads":279,"revisionId":25846,"revision":3,"name":"RARE/freeRouter - Link State IGP performance and neighbor count","description":"Display IGP performance and neighbor count","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor lsigp4int\r\npath lsigp4int/peer/peer\r\nprefix freertr-lsigp4int\r\nkey name lsigp4int/peer\r\ncommand sho ipv4 ospf 1 interface\r\nprepend lsigp4_iface_\r\nname 0 proto=\"ospf1\",ifc=\r\nreplace \\. _\r\ncolumn 1 name neighbors\r\n.\r\nexit\r\n\r\nsensor lsigp4peer\r\npath lsigp4peer/peer/peer\r\nprefix freertr-lsigp4peer\r\nkey name lsigp4peer/peer\r\ncommand sho ipv4 ospf 1 topology 0 | inc reach\r\nprepend lsigp4_peers_\r\nname 0 proto=\"ospf1\",node=\r\nreplace \\. _\r\ncolumn 2 name reachable\r\ncolumn 2 replace false 0\r\ncolumn 2 replace true 1\r\ncolumn 3 name neighbors\r\n.\r\nexit\r\n\r\nsensor lsigp4perf\r\npath lsigp4perf/peer/peer\r\nprefix freertr-lsigp4perf\r\nkey name lsigp4perf/peer\r\ncommand sho ipv4 ospf 1 spf 0 | inc reachable|fill|calc|run\r\nprepend lsigp4_perf_\r\nlabels proto=\"ospf1\"\r\nskip 0\r\ncolumn 1 name val\r\n.\r\nexit\r\n\r\nsensor lsigp6int\r\npath lsigp6int/peer/peer\r\nprefix freertr-lsigp6int\r\nkey name lsigp6int/peer\r\ncommand sho ipv6 ospf 1 interface\r\nprepend lsigp6_iface_\r\nname 0 proto=\"ospf1\",ifc=\r\nreplace \\. _\r\ncolumn 1 name neighbors\r\n.\r\nexit\r\n\r\nsensor lsigp6peer\r\npath lsigp6peer/peer/peer\r\nprefix freertr-lsigp6peer\r\nkey name lsigp6peer/peer\r\ncommand sho ipv6 ospf 1 topology 0 | inc reach\r\nprepend lsigp6_peers_\r\nname 0 proto=\"ospf1\",node=\r\nreplace \\. _\r\nreplace \\/ _\r\ncolumn 2 name reachable\r\ncolumn 2 replace false 0\r\ncolumn 2 replace true 1\r\ncolumn 3 name neighbors\r\n.\r\nexit\r\n\r\nsensor lsigp6perf\r\npath lsigp6perf/peer/peer\r\nprefix freertr-lsigp6perf\r\nkey name lsigp6perf/peer\r\ncommand sho ipv6 ospf 1 spf 0 | inc reachable|fill|calc|run\r\nprepend lsigp6_perf_\r\nlabels proto=\"ospf1\"\r\nskip 0\r\ncolumn 1 name val\r\n.\r\nexit\r\n\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor lsigp4int\r\n sensor lsigp4peer\r\n sensor lsigp4perf\r\n sensor lsigp6int\r\n sensor lsigp6peer\r\n sensor lsigp6perf\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T15:51:39.000Z","updatedAt":"2022-09-05T13:30:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13148"},{"rel":"revisions","href":"/dashboards/13148/revisions"},{"rel":"revision","href":"/dashboards/13148/revisions/3"},{"rel":"download","href":"/dashboards/13148/revisions/3/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13148/images"},{"rel":"thumbnails","href":"/dashboards/13148/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13146,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-links-state-igp-peers-and-neighbor-count","downloads":296,"revisionId":25844,"revision":2,"name":"RARE/freeRouter - Links State IGP peers and  neighbor count","description":"Display a global IGP view and neighbor count metrics","readme":"`scope:global` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor lsigp4int\r\npath lsigp4int/peer/peer\r\nprefix freertr-lsigp4int\r\nkey name lsigp4int/peer\r\ncommand sho ipv4 ospf 1 interface\r\nprepend lsigp4_iface_\r\nname 0 proto=\"ospf1\",ifc=\r\nreplace \\. _\r\ncolumn 1 name neighbors\r\n.\r\nexit\r\n\r\nsensor lsigp4peer\r\npath lsigp4peer/peer/peer\r\nprefix freertr-lsigp4peer\r\nkey name lsigp4peer/peer\r\ncommand sho ipv4 ospf 1 topology 0 | inc reach\r\nprepend lsigp4_peers_\r\nname 0 proto=\"ospf1\",node=\r\nreplace \\. _\r\ncolumn 2 name reachable\r\ncolumn 2 replace false 0\r\ncolumn 2 replace true 1\r\ncolumn 3 name neighbors\r\n.\r\nexit\r\n\r\nsensor lsigp4perf\r\npath lsigp4perf/peer/peer\r\nprefix freertr-lsigp4perf\r\nkey name lsigp4perf/peer\r\ncommand sho ipv4 ospf 1 spf 0 | inc reachable|fill|calc|run\r\nprepend lsigp4_perf_\r\nlabels proto=\"ospf1\"\r\nskip 0\r\ncolumn 1 name val\r\n.\r\nexit\r\n\r\nsensor lsigp6int\r\npath lsigp6int/peer/peer\r\nprefix freertr-lsigp6int\r\nkey name lsigp6int/peer\r\ncommand sho ipv6 ospf 1 interface\r\nprepend lsigp6_iface_\r\nname 0 proto=\"ospf1\",ifc=\r\nreplace \\. _\r\ncolumn 1 name neighbors\r\n.\r\nexit\r\n\r\nsensor lsigp6peer\r\npath lsigp6peer/peer/peer\r\nprefix freertr-lsigp6peer\r\nkey name lsigp6peer/peer\r\ncommand sho ipv6 ospf 1 topology 0 | inc reach\r\nprepend lsigp6_peers_\r\nname 0 proto=\"ospf1\",node=\r\nreplace \\. _\r\nreplace \\/ _\r\ncolumn 2 name reachable\r\ncolumn 2 replace false 0\r\ncolumn 2 replace true 1\r\ncolumn 3 name neighbors\r\n.\r\nexit\r\n\r\nsensor lsigp6perf\r\npath lsigp6perf/peer/peer\r\nprefix freertr-lsigp6perf\r\nkey name lsigp6perf/peer\r\ncommand sho ipv6 ospf 1 spf 0 | inc reachable|fill|calc|run\r\nprepend lsigp6_perf_\r\nlabels proto=\"ospf1\"\r\nskip 0\r\ncolumn 1 name val\r\n.\r\nexit\r\n\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor lsigp4int\r\n sensor lsigp4peer\r\n sensor lsigp4perf\r\n sensor lsigp6int\r\n sensor lsigp6peer\r\n sensor lsigp6perf\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T15:40:49.000Z","updatedAt":"2022-09-05T13:20:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13146"},{"rel":"revisions","href":"/dashboards/13146/revisions"},{"rel":"revision","href":"/dashboards/13146/revisions/2"},{"rel":"download","href":"/dashboards/13146/revisions/2/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13146/images"},{"rel":"thumbnails","href":"/dashboards/13146/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13145,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-nrpe","downloads":534,"revisionId":19096,"revision":1,"name":"RARE/freeRouter - NRPE","description":"Display NREP metrics","readme":"`scope:local` to freeRouter node\n\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\n```\n metric nrpe command sho nrpe home\n metric nrpe prepend nrpe_\n metric nrpe name 0 name=\n metric nrpe skip 2\n metric nrpe column 1 name state\n metric nrpe column 1 replace false 0\n metric nrpe column 1 replace true 1\n metric nrpe column 2 name asked\n metric nrpe column 3 name time\n metric nrpe column 4 name passed\n metric nrpe column 6 name failed\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T15:35:20.000Z","updatedAt":"2020-10-12T15:37:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13145"},{"rel":"revisions","href":"/dashboards/13145/revisions"},{"rel":"revision","href":"/dashboards/13145/revisions/1"},{"rel":"download","href":"/dashboards/13145/revisions/1/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13145/images"},{"rel":"thumbnails","href":"/dashboards/13145/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13144,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-prometheus-metrics","downloads":812,"revisionId":25828,"revision":2,"name":"RARE/freeRouter - Prometheus metrics","description":"Display freeRouter Prometheus metrics","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor sensor\r\n path sensor/peer/peer\r\n prefix freertr-sensor\r\n prepend sensor_\r\n command sho sensor\r\n name 0 met=\r\n key name sensor/peer\r\n column 1 name asked\r\n column 2 name time\r\n exit\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor sensor\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T15:31:33.000Z","updatedAt":"2022-09-05T10:17:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13144"},{"rel":"revisions","href":"/dashboards/13144/revisions"},{"rel":"revision","href":"/dashboards/13144/revisions/2"},{"rel":"download","href":"/dashboards/13144/revisions/2/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13144/images"},{"rel":"thumbnails","href":"/dashboards/13144/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13247,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-routed-traffic-bytes","downloads":285,"revisionId":25854,"revision":2,"name":"RARE/freeRouter - Routed traffic bytes","description":"Display routed traffic byte metrics","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor routraf4\r\npath routraf4/peer/peer\r\nprefix freertr-routraf4\r\nkey name routraf4/peer\r\ncommand sho ipv4 counter inet\r\nprepend routed_traffic4_\r\nname 0 prefix=\r\nreplace \\. _\r\nreplace \\/ _\r\ncolumn 1 name pack\r\ncolumn 1 split + typ=\"sw\" typ=\"hw\"\r\ncolumn 2 name byte\r\ncolumn 2 split + typ=\"sw\" typ=\"hw\"\r\n.\r\nexit\r\n\r\nsensor routraf6\r\npath routraf6/peer/peer\r\nprefix freertr-routraf6\r\nkey name routraf6/peer\r\ncommand sho ipv6 counter inet\r\nprepend routed_traffic6_\r\nname 0 prefix=\r\nreplace \\. _\r\nreplace \\/ _\r\ncolumn 1 name pack\r\ncolumn 1 split + typ=\"sw\" typ=\"hw\"\r\ncolumn 2 name byte\r\ncolumn 2 split + typ=\"sw\" typ=\"hw\"\r\n.\r\nexit\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor routraf4\r\n sensor routraf6\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-22T09:38:57.000Z","updatedAt":"2022-09-05T14:30:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13247"},{"rel":"revisions","href":"/dashboards/13247/revisions"},{"rel":"revision","href":"/dashboards/13247/revisions/2"},{"rel":"download","href":"/dashboards/13247/revisions/2/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13247/images"},{"rel":"thumbnails","href":"/dashboards/13247/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13248,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-routed-traffic-packets","downloads":764,"revisionId":25855,"revision":2,"name":"RARE/freeRouter - Routed traffic packets","description":"Display routed traffic packet metric","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor routraf4\r\npath routraf4/peer/peer\r\nprefix freertr-routraf4\r\nkey name routraf4/peer\r\ncommand sho ipv4 counter inet\r\nprepend routed_traffic4_\r\nname 0 prefix=\r\nreplace \\. _\r\nreplace \\/ _\r\ncolumn 1 name pack\r\ncolumn 1 split + typ=\"sw\" typ=\"hw\"\r\ncolumn 2 name byte\r\ncolumn 2 split + typ=\"sw\" typ=\"hw\"\r\n.\r\nexit\r\n\r\nsensor routraf6\r\npath routraf6/peer/peer\r\nprefix freertr-routraf6\r\nkey name routraf6/peer\r\ncommand sho ipv6 counter inet\r\nprepend routed_traffic6_\r\nname 0 prefix=\r\nreplace \\. _\r\nreplace \\/ _\r\ncolumn 1 name pack\r\ncolumn 1 split + typ=\"sw\" typ=\"hw\"\r\ncolumn 2 name byte\r\ncolumn 2 split + typ=\"sw\" typ=\"hw\"\r\n.\r\nexit\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor routraf4\r\n sensor routraf6\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-22T09:42:30.000Z","updatedAt":"2022-09-05T14:40:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13248"},{"rel":"revisions","href":"/dashboards/13248/revisions"},{"rel":"revision","href":"/dashboards/13248/revisions/2"},{"rel":"download","href":"/dashboards/13248/revisions/2/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13248/images"},{"rel":"thumbnails","href":"/dashboards/13248/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13143,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-system","downloads":784,"revisionId":25867,"revision":2,"name":"RARE/freeRouter - System","description":"Display freeRouter system statistics","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor sys\r\npath sys/peer/peer\r\nprefix freertr-sys\r\nkey name sys/peer\r\ncommand sho watchdog sys | exc name\r\nprepend system_\r\nreplace \\s _\r\ncolumn 1 name _val\r\n.\r\nexit\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor sys\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T15:27:38.000Z","updatedAt":"2022-09-06T08:01:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13143"},{"rel":"revisions","href":"/dashboards/13143/revisions"},{"rel":"revision","href":"/dashboards/13143/revisions/2"},{"rel":"download","href":"/dashboards/13143/revisions/2/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13143/images"},{"rel":"thumbnails","href":"/dashboards/13143/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13142,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-tracker","downloads":783,"revisionId":25833,"revision":2,"name":"RARE/freeRouter - Tracker","description":"Display freeRouter tracker status","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor tracker\r\npath tracker/peer/peer\r\nprefix freertr-tracker\r\nkey name tracker/peer\r\ncommand sho tracker\r\nprepend tracker_\r\nname 0 name=\r\nreplace \\- _\r\ncolumn 4 name state\r\ncolumn 4 replace down 0\r\ncolumn 4 replace up 1\r\n.\r\nexit\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor tracker\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T15:17:46.000Z","updatedAt":"2022-09-05T12:23:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13142"},{"rel":"revisions","href":"/dashboards/13142/revisions"},{"rel":"revision","href":"/dashboards/13142/revisions/2"},{"rel":"download","href":"/dashboards/13142/revisions/2/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13142/images"},{"rel":"thumbnails","href":"/dashboards/13142/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13141,"status":1,"statusCode":"active","orgId":423572,"orgSlug":"fredericloui","orgName":"fredericloui","slug":"rare-freerouter-vrf-route-count","downloads":821,"revisionId":25831,"revision":2,"name":"RARE/freeRouter - VRF route count","description":"Number of routes in freeRouter node VRFs","readme":"`scope:local` to freeRouter node\r\n\r\nfreeRouter Prometheus configuration: (copy & paste in freeRouter CLI)\r\n* Create hardware and software sensor\r\n```\r\nsensor vrf\r\npath vrf/peer/peer\r\nprefix freertr-vrf\r\nkey name vrf/peer\r\ncommand sho vrf routing\r\nprepend vrf_\r\nname 0 name=\r\nskip 2\r\ncolumn 2 name v4 type=\"ifc\"\r\ncolumn 3 name v6 type=\"ifc\"\r\ncolumn 4 name v4 type=\"uni\"\r\ncolumn 5 name v6 type=\"uni\"\r\ncolumn 6 name v4 type=\"multi\"\r\ncolumn 7 name v6 type=\"multi\"\r\ncolumn 8 name v4 type=\"flow\"\r\ncolumn 9 name v6 type=\"flow\"\r\ncolumn 10 name v4 type=\"label\"\r\ncolumn 11 name v6 type=\"label\"\r\ncolumn 12 name v4 type=\"conn\"\r\ncolumn 13 name v6 type=\"conn\"\r\n.\r\nexit\r\n```\r\n* freeRtr server Prometheus agent configuration\r\n\r\n```\r\nserver prometheus pr\r\n sensor vrf\r\n vrf <PROMETHEUS_VRF>\r\n exit\r\n```\r\n* Prometheus server configuration (sample config with 2 nodes)\r\n```\r\nglobal:\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  evaluation_interval: 30s\r\nalerting:\r\n  alertmanagers:\r\n  - static_configs:\r\n    - targets: []\r\n    scheme: http\r\n    timeout: 10s\r\nscrape_configs:\r\n- job_name: router\r\n  scrape_interval: 15s\r\n  scrape_timeout: 10s\r\n  metrics_path: /metrics\r\n  scheme: http\r\n  static_configs:\r\n  - targets:\r\n    - <prometheus_agent_ip_1>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_1_node_name>\r\n  - targets:\r\n    - <prometheus_agent_ip_2>:9001\r\n    labels:\r\n      node_name: <prometheus_agent_2_node_name>\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-12T15:06:34.000Z","updatedAt":"2022-09-05T12:08:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13141"},{"rel":"revisions","href":"/dashboards/13141/revisions"},{"rel":"revision","href":"/dashboards/13141/revisions/2"},{"rel":"download","href":"/dashboards/13141/revisions/2/download"},{"rel":"org","href":"/orgs/fredericloui"},{"rel":"images","href":"/dashboards/13141/images"},{"rel":"thumbnails","href":"/dashboards/13141/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16842,"status":1,"statusCode":"active","orgId":680152,"orgSlug":"imraanabrahams","orgName":"imraanabrahams","slug":"rare-freerouter-link-state-igp-peers-reachability-neighbor-count-summary","downloads":260,"revisionId":25816,"revision":1,"name":"RARE/freeRouter RARE/freeRouter - BFD states","description":"Display link state IGP peer reachability and neighbor count metrics","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"diskstats","datasource":"Prometheus","privacy":"public","createdAt":"2022-09-03T11:25:40.000Z","updatedAt":"2022-09-03T11:44:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16842"},{"rel":"revisions","href":"/dashboards/16842/revisions"},{"rel":"revision","href":"/dashboards/16842/revisions/1"},{"rel":"download","href":"/dashboards/16842/revisions/1/download"},{"rel":"org","href":"/orgs/imraanabrahams"},{"rel":"images","href":"/dashboards/16842/images"},{"rel":"thumbnails","href":"/dashboards/16842/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3039,"status":1,"statusCode":"active","orgId":78813,"orgSlug":"sneg","orgName":"sneg","slug":"ras-test-dashboard","downloads":361,"revisionId":4185,"revision":1,"name":"ras_test_dashboard","description":"Prls RAS monitoring dashboard example","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-08-23T09:53:18.000Z","updatedAt":"2017-08-23T09:55:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3039"},{"rel":"revisions","href":"/dashboards/3039/revisions"},{"rel":"revision","href":"/dashboards/3039/revisions/1"},{"rel":"download","href":"/dashboards/3039/revisions/1/download"},{"rel":"org","href":"/orgs/sneg"},{"rel":"images","href":"/dashboards/3039/images"},{"rel":"thumbnails","href":"/dashboards/3039/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15120,"status":1,"statusCode":"active","orgId":375329,"orgSlug":"oijkn","orgName":"oijkn","slug":"raspberry-pi-docker-monitoring","downloads":82125,"revisionId":27735,"revision":11,"name":"Raspberry Pi & Docker Monitoring","description":"Dashboard with details of the containers and host metrics for Raspberry Pi by Oijkn.","readme":"#### ? Check out our project on [GitHub](https://github.com/oijkn/Docker-Raspberry-PI-Monitoring) for more information about deploying our stack.\r\n","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-10-17T12:18:00.000Z","updatedAt":"2023-02-09T10:03:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15120"},{"rel":"revisions","href":"/dashboards/15120/revisions"},{"rel":"revision","href":"/dashboards/15120/revisions/11"},{"rel":"download","href":"/dashboards/15120/revisions/11/download"},{"rel":"org","href":"/orgs/oijkn"},{"rel":"images","href":"/dashboards/15120/images"},{"rel":"thumbnails","href":"/dashboards/15120/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19275,"status":1,"statusCode":"active","orgId":914412,"orgSlug":"emilienfo","orgName":"emilienfo","slug":"raspberry-pi-docker-monitoring-vef","downloads":429,"revisionId":29554,"revision":1,"name":"Raspberry Pi & Docker Monitoring - VEF","description":"Dashboard with details of the containers and host metrics for Raspberry Pi, based from work of Oijkn.","readme":"This dashboard show informations about Raspberry Pi System and Docker containers. \r\n\r\nSlightly rework from https://github.com/oijkn/Docker-Raspberry-PI-Monitoring / https://grafana.com/grafana/dashboards/15120-raspberry-pi-docker-monitoring/ \r\n\r\nThis work is part of a blog post to show how reverse proxy a self hosted grafana service behind a traefik proxy.   \r\n\r\nMore info here https://emilien-foissotte.github.io/posts/2023/07/personal-drive/","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-08-02T07:44:51.000Z","updatedAt":"2023-08-05T19:50:23.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19275"},{"rel":"revisions","href":"/dashboards/19275/revisions"},{"rel":"revision","href":"/dashboards/19275/revisions/1"},{"rel":"download","href":"/dashboards/19275/revisions/1/download"},{"rel":"org","href":"/orgs/emilienfo"},{"rel":"images","href":"/dashboards/19275/images"},{"rel":"thumbnails","href":"/dashboards/19275/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24699,"status":1,"statusCode":"active","orgId":1642398,"orgSlug":"anuchito","orgName":"anuchito","slug":"raspberry-pi-cluster-monitoring","downloads":49,"revisionId":39842,"revision":7,"name":"Raspberry Pi Cluster Monitoring","description":"Prometheus-powered monitoring for Raspberry Pi clusters, providing insights into performance, resource utilization, and node health.","readme":"## Raspberry Pi Cluster Monitoring Dashboard\r\n\r\nThis dashboard provides **real-time and historical visibility** into the health and performance of a Raspberry Pi cluster. It is designed to help monitor system load, resource utilization, and node availability across all Pi nodes in the cluster.\r\n\r\n### 📊 What This Dashboard Shows\r\n\r\nThe dashboard visualizes key system metrics for each Raspberry Pi node, including:\r\n\r\n* **CPU Usage**\r\n  Overall CPU utilization, per-core usage, and system load averages.\r\n\r\n* **Memory Usage**\r\n  Total, used, free, and cached memory to help identify memory pressure.\r\n\r\n* **Disk Usage & I/O**\r\n  Filesystem utilization, read/write throughput, and disk latency.\r\n\r\n* **Network Traffic**\r\n  Incoming and outgoing network bandwidth per interface.\r\n\r\n* **Node Health**\r\n  Node uptime, availability, and basic system status indicators.\r\n\r\nThese metrics allow quick identification of overloaded nodes, hardware bottlenecks, or failing components within the cluster.","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-01-16T04:48:04.000Z","updatedAt":"2026-02-09T07:55:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24699"},{"rel":"revisions","href":"/dashboards/24699/revisions"},{"rel":"revision","href":"/dashboards/24699/revisions/7"},{"rel":"download","href":"/dashboards/24699/revisions/7/download"},{"rel":"org","href":"/orgs/anuchito"},{"rel":"images","href":"/dashboards/24699/images"},{"rel":"thumbnails","href":"/dashboards/24699/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15577,"status":1,"statusCode":"active","orgId":499492,"orgSlug":"sachinsureshmore","orgName":"sachinsureshmore","slug":"raspberry-pi-details","downloads":337,"revisionId":23518,"revision":1,"name":"Raspberry Pi Details","description":"Raspberry Pi Details","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-01-19T02:13:09.000Z","updatedAt":"2022-01-19T02:14:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15577"},{"rel":"revisions","href":"/dashboards/15577/revisions"},{"rel":"revision","href":"/dashboards/15577/revisions/1"},{"rel":"download","href":"/dashboards/15577/revisions/1/download"},{"rel":"org","href":"/orgs/sachinsureshmore"},{"rel":"images","href":"/dashboards/15577/images"},{"rel":"thumbnails","href":"/dashboards/15577/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17586,"status":1,"statusCode":"active","orgId":760035,"orgSlug":"joostvdg","orgName":"joostvdg","slug":"pi-k3s-simple-dashboard","downloads":3424,"revisionId":27006,"revision":1,"name":"Raspberry Pi K3S Nodes Overview","description":"Dashboards for a K3S cluster where the Nodes consist of Raspberry Pi's (also does other kinds of nodes). Based on Dashboard 12869 (from matt7b7b).","readme":"This shows the health of the K3S Nodes.\r\nAs this is for a Homelab with RaspberryPis, there is a focus on the node being up and its temperature.\r\n\r\n Based on Dashboard [12869](https://grafana.com/grafana/dashboards/12869-pi-k3s-simple-dashboard/) (from [matt7b7b](https://grafana.com/orgs/matt7b7b)).","collectorType":"nodeExporter","collectorConfig":"Nothing specific.","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-12-12T22:42:22.000Z","updatedAt":"2022-12-13T21:30:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17586"},{"rel":"revisions","href":"/dashboards/17586/revisions"},{"rel":"revision","href":"/dashboards/17586/revisions/1"},{"rel":"download","href":"/dashboards/17586/revisions/1/download"},{"rel":"org","href":"/orgs/joostvdg"},{"rel":"images","href":"/dashboards/17586/images"},{"rel":"thumbnails","href":"/dashboards/17586/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23134,"status":1,"statusCode":"active","orgId":726774,"orgSlug":"darkwolfcave","orgName":"darkwolfcave","slug":"raspberry-pi-log-monitoring","downloads":519,"revisionId":36582,"revision":1,"name":"Raspberry Pi Log-Monitoring - Alloy and Loki","description":"Dashboard for Rasperry Pi Logs with Alloy and Loki","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2025-03-21T15:22:57.000Z","updatedAt":"2025-03-21T15:26:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23134"},{"rel":"revisions","href":"/dashboards/23134/revisions"},{"rel":"revision","href":"/dashboards/23134/revisions/1"},{"rel":"download","href":"/dashboards/23134/revisions/1/download"},{"rel":"org","href":"/orgs/darkwolfcave"},{"rel":"images","href":"/dashboards/23134/images"},{"rel":"thumbnails","href":"/dashboards/23134/thumbnails"}],"datasourceSlugs":["loki"]},{"id":10578,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"raspberry-pi-monitoring","downloads":13904,"revisionId":35672,"revision":2,"name":"Raspberry Pi Monitoring","description":"Raspberry Pi Monitoring (Flux & Grafana 11.x)","readme":"This dashboard contains multiples sections with the goal to monitor a full Raspberry Pi board or boards, we have some sections to monitor the Linux and machine overall performance, and temperature. Special thanks to [Lex Rivera for his Linux System dashboard](https://grafana.com/orgs/lex)\r\n\r\n![alt tag](https://www.jorgedelacruz.es/wp-content/uploads/2019/07/grafana-raspberrypi.png)\r\n\r\nTo be able for telegraf to gather info about the GPU, we need to add the telegraf user into video group:\r\n```\r\nsudo usermod -G video telegraf\r\n```\r\n\r\nLinux and machine performance:\r\n* CPUs (defaults to all)\r\n* Disks (per-disk IOPS)\r\n* Network interfaces (packets, bandwidth, errors/drops)\r\n* Mountpoints (space / inodes)\r\n* Temperature\r\n\r\n\r\n\r\n","collectorType":"Telegraf","collectorConfig":"```\r\n#In order to monitor both Network interfaces, eth0 and wlan0, uncomment, or add the next:\r\n[[inputs.cpu]]\r\n  percpu = true\r\n  totalcpu = true\r\n  collect_cpu_time = false\r\n  report_active = false\r\n[[inputs.disk]] \r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\"]\r\n[[inputs.io]]\r\n[[inputs.mem]]\r\n[[inputs.net]]\r\n[[inputs.system]]\r\n[[inputs.swap]]\r\n[[inputs.netstat]]\r\n[[inputs.processes]]\r\n[[inputs.kernel]]\r\n\r\n[[inputs.file]]\r\n  files = [\"/sys/class/thermal/thermal_zone0/temp\"]\r\n  name_override = \"cpu_temperature\"\r\n  data_format = \"value\"\r\n  data_type = \"integer\"\r\n\r\n```","collectorPluginList":"exec","datasource":"InfluxDB","privacy":"public","createdAt":"2019-07-21T00:04:16.000Z","updatedAt":"2025-01-15T19:42:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":22,"reviewsAvgRating":4.09,"links":[{"rel":"self","href":"/dashboards/10578"},{"rel":"revisions","href":"/dashboards/10578/revisions"},{"rel":"revision","href":"/dashboards/10578/revisions/2"},{"rel":"download","href":"/dashboards/10578/revisions/2/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/10578/images"},{"rel":"thumbnails","href":"/dashboards/10578/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13982,"status":1,"statusCode":"active","orgId":418648,"orgSlug":"pidashboard","orgName":"pidashboard","slug":"raspberry-pi-monitoring","downloads":1064,"revisionId":20489,"revision":1,"name":"Raspberry Pi Monitoring","description":"Raspberry Pi (4) general monitoring dashboard.","readme":"This dashboard is based on the [Raspberry Pi Monitoring](https://grafana.com/grafana/dashboards/10578), [System](https://grafana.com/grafana/dashboards/3967) and [Linux OS Processes Metrics](https://grafana.com/grafana/dashboards/12201) community dashboards.\r\n\r\nCreated for the Raspberry Pi 4B 1.2 running Arch Linux ARM. Using the InfluxDB Flux query language.\r\n\r\n**Uses a custom script to get vcgencmd output in Telegraf; for more info about the dashboard and its configuration i refer to this [blogpost](http://oostens.me/projects/raspberrypiserver/system-monitoring/)**.\r\n\r\n(an older version of this board, not using Flux, is available as well: [13044](https://grafana.com/grafana/dashboards/13044) but no longer maintained)\r\n","collectorType":"Telegraf","collectorConfig":"For more info about the Telegraf configuration i refer to this [blogpost ](http://oostens.me/projects/raspberrypiserver/system-monitoring/).","collectorPluginList":"exec, hddtemp, net_response, tcp_listener, udp_listener, system, 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Monitoring","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-10-18T08:28:20.000Z","updatedAt":"2019-10-18T08:29:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11014"},{"rel":"revisions","href":"/dashboards/11014/revisions"},{"rel":"revision","href":"/dashboards/11014/revisions/1"},{"rel":"download","href":"/dashboards/11014/revisions/1/download"},{"rel":"org","href":"/orgs/andreeash"},{"rel":"images","href":"/dashboards/11014/images"},{"rel":"thumbnails","href":"/dashboards/11014/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17212,"status":1,"statusCode":"active","orgId":728219,"orgSlug":"sebastiaanhermans135","orgName":"sebastiaanhermans135","slug":"raspberry-pi-monitoring","downloads":321,"revisionId":26442,"revision":1,"name":"Raspberry Pi Monitoring","description":"Raspberry Pi Monitoring","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-10-18T09:27:04.000Z","updatedAt":"2022-10-18T09:27:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17212"},{"rel":"revisions","href":"/dashboards/17212/revisions"},{"rel":"revision","href":"/dashboards/17212/revisions/1"},{"rel":"download","href":"/dashboards/17212/revisions/1/download"},{"rel":"org","href":"/orgs/sebastiaanhermans135"},{"rel":"images","href":"/dashboards/17212/images"},{"rel":"thumbnails","href":"/dashboards/17212/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18950,"status":1,"statusCode":"active","orgId":876144,"orgSlug":"p1313","orgName":"p1313","slug":"raspberry-pi-monitoring","downloads":268,"revisionId":29060,"revision":1,"name":"Raspberry Pi Monitoring","description":"Raspberry Pi Monitoring","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-06-11T13:38:47.000Z","updatedAt":"2023-06-11T13:39:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18950"},{"rel":"revisions","href":"/dashboards/18950/revisions"},{"rel":"revision","href":"/dashboards/18950/revisions/1"},{"rel":"download","href":"/dashboards/18950/revisions/1/download"},{"rel":"org","href":"/orgs/p1313"},{"rel":"images","href":"/dashboards/18950/images"},{"rel":"thumbnails","href":"/dashboards/18950/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19090,"status":1,"statusCode":"active","orgId":826052,"orgSlug":"prtsmartc","orgName":"prtsmartc","slug":"raspberry-pi-monitoring","downloads":267,"revisionId":29240,"revision":1,"name":"Raspberry Pi Monitoring","description":"Raspberry Pi Monitoring","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-07-01T04:57:50.000Z","updatedAt":"2023-07-01T04:58:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19090"},{"rel":"revisions","href":"/dashboards/19090/revisions"},{"rel":"revision","href":"/dashboards/19090/revisions/1"},{"rel":"download","href":"/dashboards/19090/revisions/1/download"},{"rel":"org","href":"/orgs/prtsmartc"},{"rel":"images","href":"/dashboards/19090/images"},{"rel":"thumbnails","href":"/dashboards/19090/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19651,"status":1,"statusCode":"active","orgId":952262,"orgSlug":"ghulamzainulabideen","orgName":"ghulamzainulabideen","slug":"raspberry-pi-monitoring","downloads":265,"revisionId":30163,"revision":1,"name":"Raspberry Pi Monitoring","description":"Raspberry Pi Monitoring","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-09-25T18:57:04.000Z","updatedAt":"2023-09-25T18:59:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19651"},{"rel":"revisions","href":"/dashboards/19651/revisions"},{"rel":"revision","href":"/dashboards/19651/revisions/1"},{"rel":"download","href":"/dashboards/19651/revisions/1/download"},{"rel":"org","href":"/orgs/ghulamzainulabideen"},{"rel":"images","href":"/dashboards/19651/images"},{"rel":"thumbnails","href":"/dashboards/19651/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23289,"status":1,"statusCode":"active","orgId":1407338,"orgSlug":"marek235","orgName":"marek235","slug":"raspberry-pi-monitoring","downloads":267,"revisionId":36937,"revision":1,"name":"Raspberry Pi Monitoring","description":"Raspberry Pi (4) general monitoring dashboard.","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"influxdb, sensors ","datasource":"InfluxDB","privacy":"public","createdAt":"2025-04-19T03:24:52.000Z","updatedAt":"2025-04-19T04:13:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23289"},{"rel":"revisions","href":"/dashboards/23289/revisions"},{"rel":"revision","href":"/dashboards/23289/revisions/1"},{"rel":"download","href":"/dashboards/23289/revisions/1/download"},{"rel":"org","href":"/orgs/marek235"},{"rel":"images","href":"/dashboards/23289/images"},{"rel":"thumbnails","href":"/dashboards/23289/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20498,"status":1,"statusCode":"active","orgId":1039680,"orgSlug":"follow4more","orgName":"follow4more","slug":"raspberry-pi-monitoring","downloads":266,"revisionId":31676,"revision":1,"name":"Raspberry Pi Monitoring","description":"Raspberry Pi Monitoring","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-02-18T02:52:43.000Z","updatedAt":"2024-02-18T02:53:11.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20498"},{"rel":"revisions","href":"/dashboards/20498/revisions"},{"rel":"revision","href":"/dashboards/20498/revisions/1"},{"rel":"download","href":"/dashboards/20498/revisions/1/download"},{"rel":"org","href":"/orgs/follow4more"},{"rel":"images","href":"/dashboards/20498/images"},{"rel":"thumbnails","href":"/dashboards/20498/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22699,"status":1,"statusCode":"active","orgId":1263665,"orgSlug":"stig76","orgName":"stig76","slug":"raspberry-pi-monitoring","downloads":263,"revisionId":35793,"revision":1,"name":"Raspberry Pi Monitoring","description":"Raspberry Pi Monitoring (Flux & Grafana 11.x)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-01-15T21:04:24.000Z","updatedAt":"2025-01-15T21:04:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22699"},{"rel":"revisions","href":"/dashboards/22699/revisions"},{"rel":"revision","href":"/dashboards/22699/revisions/1"},{"rel":"download","href":"/dashboards/22699/revisions/1/download"},{"rel":"org","href":"/orgs/stig76"},{"rel":"images","href":"/dashboards/22699/images"},{"rel":"thumbnails","href":"/dashboards/22699/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15576,"status":1,"statusCode":"active","orgId":499492,"orgSlug":"sachinsureshmore","orgName":"sachinsureshmore","slug":"raspberry-pi-overview","downloads":359,"revisionId":23517,"revision":1,"name":"Raspberry Pi Overview","description":"Raspberry Pi Overview","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-01-19T02:12:12.000Z","updatedAt":"2022-01-19T02:16:26.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15576"},{"rel":"revisions","href":"/dashboards/15576/revisions"},{"rel":"revision","href":"/dashboards/15576/revisions/1"},{"rel":"download","href":"/dashboards/15576/revisions/1/download"},{"rel":"org","href":"/orgs/sachinsureshmore"},{"rel":"images","href":"/dashboards/15576/images"},{"rel":"thumbnails","href":"/dashboards/15576/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12034,"status":1,"statusCode":"active","orgId":367881,"orgSlug":"raulgn","orgName":"Raúl Gonzalez","slug":"raspberry-pi-temperature","downloads":1399,"revisionId":17126,"revision":1,"name":"Raspberry Pi Temperature","description":"Grafana dasborad designed for Raspberry pi Systems","readme":"Grafana dasborad designed for Raspberry pi Systems (temperatures for CPU and GPU). Yes, too much exec inputs but I could't make grok to label each field diferent for each script.","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.disk]]\r\n  percpu = true\r\n  totalcpu = true\r\n  collect_cpu_time = false\r\n  report_active = false\r\n[[inputs.diskio]]\r\n  device_tags = [\"ID_FS_TYPE\", \"ID_FS_USAGE\"]\r\n  name_templates = [\"$ID_FS_LABEL\",\"$DM_VG_NAME/$DM_LV_NAME\"]\r\n[[inputs.kernel]]\r\n[[inputs.mem]]\r\n[[inputs.processes]]\r\n[[inputs.swap]]\r\n[[inputs.system]]\r\n[[inputs.internal]]\r\n[[inputs.interrupts]]\r\n   cpu_as_tag = true\r\n[[inputs.linux_sysctl_fs]]\r\n[[inputs.net]]\r\n[[inputs.netstat]]\r\n[[inputs.nstat]]\r\n[[inputs.file]]\r\n  files = [\"/sys/class/thermal/thermal_zone0/temp\"]\r\n  name_override = \"cpu_temperature\"\r\n  data_format = \"value\"\r\n  data_type = \"integer\"\r\n\r\n[[inputs.exec]]\r\n  commands = [ \"/opt/vc/bin/vcgencmd measure_temp\"]\r\n  name_override = \"gpu_temperature\"\r\n  data_format = \"grok\"\r\n  grok_patterns = [\"%{NUMBER:value:float}\"]\r\n\r\n[[inputs.exec]]\r\n  commands = [\"/opt/vc/bin/vcgencmd measure_clock arm\"]\r\n  name_override = \"cpu_clock\"\r\n  data_format = \"grok\"\r\n  grok_patterns = [\"=%{NUMBER:value:float}\"]\r\n\r\n[[inputs.exec]]\r\n  commands = [ \"/opt/vc/bin/vcgencmd measure_volts core\"]\r\n  name_override = \"volts\"\r\n  data_format = \"grok\"\r\n  grok_patterns = [\"%{NUMBER:value:float}\"]\r\n[[inputs.exec]]\r\n  commands = [ \"/opt/vc/bin/vcgencmd measure_volts sdram_c\"]\r\n  name_override = \"volts\"\r\n  data_format = \"grok\"\r\n  grok_patterns = [\"%{NUMBER:sdramc:float}\"]\r\n[[inputs.exec]]\r\n  commands = [ \"/opt/vc/bin/vcgencmd measure_volts sdram_i\"]\r\n  name_override = \"volts\"\r\n  data_format = \"grok\"\r\n  grok_patterns = [\"%{NUMBER:sdrami:float}\"]\r\n[[inputs.exec]]\r\n  commands = [ \"/opt/vc/bin/vcgencmd measure_volts sdram_p\"]\r\n  name_override = \"volts\"\r\n  data_format = \"grok\"\r\n  grok_patterns = [\"%{NUMBER:sdramp:float}\"]\r\n[[inputs.exec]]\r\n  commands = [ \"python3 /media/pi/f9fb5995-3bd5-4ac0-859a-aa5bf467905d/opt/pidata/throttling.py\"]\r\n  name_override = \"throttling\"\r\n  data_format = 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This graph only covers the activity within a week (unlike the\r\n                   temperature graph in row3-Panel2) for visibility purpose.\r\n                   Obtained by stacking a timespan's volume accessed and modified on separate y-axis.\r\n\r\nRow 3 :\r\n\r\n      => Panel 1 : Represents the accessed and modified inode count within given timespans.\r\n                   Read operations are on the positive y-axis.\r\n                   Write operations are on the negative y-axis.\r\n                   Obtained by stacking a timespan's inode count accessed and modified on separate y-axis.\r\n                   \r\n      => Panel 2 : Represents the accessed and modified volume within given timespans.\r\n                   Read operations are on the positive y-axis.\r\n                   Write operations are on the negative y-axis.\r\n                   Obtained by stacking a timespan's volume accessed and modified on separate y-axis.\r\n                   \r\nRow 4 :\r\n\r\n      => Panel 1 : Represents the derivated changelog events counter value consumed by Robinhood.\r\n                   Obtained by derivating the queried ChangelogCount values in robinhood's db from table VARS.\r\n                   (Change the filter settings to select event types)\r\n\r\nThe easiest way to use it would be to run rbh-monitoring (https://github.com/LiquidSame/rbh-monitoring) to retrieve the metrics and visualize them here.\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2017-05-16T12:30:17.000Z","updatedAt":"2017-07-24T13:01:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2276"},{"rel":"revisions","href":"/dashboards/2276/revisions"},{"rel":"revision","href":"/dashboards/2276/revisions/10"},{"rel":"download","href":"/dashboards/2276/revisions/10/download"},{"rel":"org","href":"/orgs/liquid"},{"rel":"images","href":"/dashboards/2276/images"},{"rel":"thumbnails","href":"/dashboards/2276/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":13523,"status":1,"statusCode":"active","orgId":444317,"orgSlug":"frans2","orgName":"frans2","slug":"rcl-merangue","downloads":263,"revisionId":19754,"revision":1,"name":"RCL-Merangue","description":"Merangue","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"KairosDB","privacy":"public","createdAt":"2020-12-07T18:07:04.000Z","updatedAt":"2020-12-07T18:11:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13523"},{"rel":"revisions","href":"/dashboards/13523/revisions"},{"rel":"revision","href":"/dashboards/13523/revisions/1"},{"rel":"download","href":"/dashboards/13523/revisions/1/download"},{"rel":"org","href":"/orgs/frans2"},{"rel":"images","href":"/dashboards/13523/images"},{"rel":"thumbnails","href":"/dashboards/13523/thumbnails"}],"datasourceSlugs":["grafana-kairosdb-datasource"]},{"id":22427,"status":1,"statusCode":"active","orgId":1201390,"orgSlug":"frosit","orgName":"frosit","slug":"rclone","downloads":300,"revisionId":35236,"revision":1,"name":"Rclone","description":"RCLONE DASHB","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-11-27T13:55:08.000Z","updatedAt":"2024-11-27T13:55:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22427"},{"rel":"revisions","href":"/dashboards/22427/revisions"},{"rel":"revision","href":"/dashboards/22427/revisions/1"},{"rel":"download","href":"/dashboards/22427/revisions/1/download"},{"rel":"org","href":"/orgs/frosit"},{"rel":"images","href":"/dashboards/22427/images"},{"rel":"thumbnails","href":"/dashboards/22427/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14686,"status":1,"statusCode":"active","orgId":225716,"orgSlug":"lucanello","orgName":"lucanello","slug":"backup-dashboard-rclone","downloads":385,"revisionId":21796,"revision":1,"name":"Rclone Backup Dashboard","description":"Backup Dashboard for Rclone: https://gist.github.com/lucanello/1fa285804dff2eeb681d3a86f64cc03b","readme":"# Rclone Grafana Dashboard for Backup Monitoring\nThis dashboard visualizes Rclone metrics from an InfluxDB in order to monitor your backups and Rclone operations.\n\n![Rclone Backup Grafana Screenshot](https://grafana.com/api/dashboards/14686/images/10702/image)\n![Rclone Backup Grafana Screenshot](https://grafana.com/api/dashboards/14686/images/10703/image)\n\nFind the **source code for the data aggregation** here: [https://gist.github.com/lucanello/1fa285804dff2eeb681d3a86f64cc03b](https://gist.github.com/lucanello/1fa285804dff2eeb681d3a86f64cc03b)\n\nFor more information visit the Reddit post: [https://www.reddit.com/r/rclone/comments/odiqmv/python_rclone_backup_script_with_telegram/](https://www.reddit.com/r/rclone/comments/odiqmv/python_rclone_backup_script_with_telegram/)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-07-06T14:44:02.000Z","updatedAt":"2021-07-06T14:55:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14686"},{"rel":"revisions","href":"/dashboards/14686/revisions"},{"rel":"revision","href":"/dashboards/14686/revisions/1"},{"rel":"download","href":"/dashboards/14686/revisions/1/download"},{"rel":"org","href":"/orgs/lucanello"},{"rel":"images","href":"/dashboards/14686/images"},{"rel":"thumbnails","href":"/dashboards/14686/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21260,"status":1,"statusCode":"active","orgId":750537,"orgSlug":"tigattack","orgName":"tigattack","slug":"rclone","downloads":432,"revisionId":33104,"revision":1,"name":"Rclone Metrics","description":"Dashboard for Rclone rc metrics","readme":"Please see [https://blog.tiga.tech/posts/rclone-grafana](https://blog.tiga.tech/posts/rclone-grafana) for more details.\r\n\r\nprometheus.yml:\r\n\r\n```\r\nscrape_configs:\r\n  - job_name: rclone\r\n    static_configs:\r\n      - targets:\r\n        - <rclone rc host>:<rclone rc port>\r\n    basic_auth:\r\n      username: <rclone rc username>\r\n      password: <rclone rc password>\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-08T11:07:42.000Z","updatedAt":"2024-06-08T19:45:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21260"},{"rel":"revisions","href":"/dashboards/21260/revisions"},{"rel":"revision","href":"/dashboards/21260/revisions/1"},{"rel":"download","href":"/dashboards/21260/revisions/1/download"},{"rel":"org","href":"/orgs/tigattack"},{"rel":"images","href":"/dashboards/21260/images"},{"rel":"thumbnails","href":"/dashboards/21260/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17490,"status":1,"statusCode":"active","orgId":750537,"orgSlug":"tigattack","orgName":"tigattack","slug":"rclone-metrics","downloads":797,"revisionId":27114,"revision":2,"name":"Rclone Metrics","description":"Dashboard for Rclone rc metrics","readme":"Please see [https://blog.tiga.tech/posts/rclone-grafana](https://blog.tiga.tech/posts/rclone-grafana) for more details.","collectorType":"Telegraf","collectorConfig":"```\r\n# InfluxDB to write metrics to\r\n[[outputs.influxdb]]\r\n  urls = [\"http://<influx-host>:8086\"]\r\n  database = \"<database>\"\r\n  username = \"<username>\"\r\n  password = \"<password>\"\r\n\r\n# Pull metrics from Rclone\r\n[[inputs.prometheus]]\r\n  # Single Rclone rc instance\r\n  urls = ['http://<rclone-host>:5572/metrics']\r\n\r\n  # Multiple Rclone rc instances\r\n  # urls = ['http://<rclone-host>:5572/metrics','http://<rclone-host>:5573/metrics']\r\n\r\n  # Rclone authentication\r\n  username = \"<username>\"\r\n  password = \"<password>\"\r\n```","collectorPluginList":"prometheus, influxdb","datasource":"InfluxDB","privacy":"public","createdAt":"2022-11-25T14:53:51.000Z","updatedAt":"2024-06-08T11:07:13.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17490"},{"rel":"revisions","href":"/dashboards/17490/revisions"},{"rel":"revision","href":"/dashboards/17490/revisions/2"},{"rel":"download","href":"/dashboards/17490/revisions/2/download"},{"rel":"org","href":"/orgs/tigattack"},{"rel":"images","href":"/dashboards/17490/images"},{"rel":"thumbnails","href":"/dashboards/17490/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24241,"status":1,"statusCode":"active","orgId":405790,"orgSlug":"yuuki","orgName":"yuuki","slug":"rdma-roce-nic-telemetry","downloads":157,"revisionId":38670,"revision":1,"name":"RDMA / RoCE NIC Telemetry","description":"Grafana dashboard for rdma_exporter covering port health, throughput, congestion, and error diagnostics.","readme":"# RDMA / RoCE Port Telemetry Dashboard\r\n\r\nThis Grafana dashboard visualizes telemetry emitted by the `rdma_exporter` Prometheus exporter. The dashboard focuses on InfiniBand and RoCE ports, highlighting availability, throughput, congestion, and error signals that are read from `/sys/class/infiniband` on each host.\r\n\r\n## Prerequisites\r\n- Grafana 9.0 or later with a Prometheus data source.\r\n- `rdma_exporter` running on each RDMA-capable node with HTTP access to its `/metrics` endpoint.\r\n- Prometheus scraping the exporter at an interval that matches your operational needs (the dashboard defaults to 1m/5m/15m range selectors).\r\n\r\n## Data Pipeline\r\n1. `rdma_exporter` traverses the RDMA sysfs hierarchy and exposes counters such as `rdma_port_rcv_data_total` and `rdma_port_xmit_wait_total`, along with the `rdma_port_info` gauge that carries metadata (device, port, link state, speed, width, etc.).\r\n2. Prometheus scrapes the exporter and stores the metrics with labels `job`, `instance`, `device`, and `port`.\r\n3. Grafana queries Prometheus using the expressions embedded in the dashboard panels and renders time-series, single-stat, and table visualizations for operators.\r\n\r\nA minimal Prometheus scrape configuration might look like the following:\r\n\r\n```yaml\r\n# prometheus.yml\r\nglobal:\r\n  scrape_interval: 30s\r\n  scrape_timeout: 5s\r\n\r\nscrape_configs:\r\n  - job_name: rdma-exporter\r\n    static_configs:\r\n      - targets:\r\n          - host-a.example.com:9879\r\n          - host-b.example.com:9879\r\n    metrics_path: /metrics\r\n    scheme: http\r\n```\r\n\r\n> Note: No CollectD layer is required. If you already use CollectD, you can expose its metrics via the `write_prometheus` plugin on a different port; this dashboard is specifically tuned for the `rdma_exporter` metric names listed below.\r\n\r\n## Importing the Dashboard\r\n1. Open Grafana and navigate to **Dashboards → Import**.\r\n2. Click **Upload JSON file** and select `dashboards/rdma_exporter_dashboard.json`, or paste its contents into the JSON textarea.\r\n3. Choose your Prometheus data source when prompted (the default variable is named `Datasource`).\r\n4. Save the dashboard; it will appear under the name **RDMA / RoCE Port Telemetry (rdma_exporter)**.\r\n\r\n## Template Variables\r\nThe dashboard ships with template variables to scope queries:\r\n\r\n| Variable | Label      | Description                                                                                          |\r\n|----------|------------|------------------------------------------------------------------------------------------------------|\r\n| `$ds`    | Datasource | Prometheus data source selector.                                                                     |\r\n| `$job`   | Job        | Populated from `label_values(rdma_port_info, job)` to separate clusters or scrape jobs.             |\r\n| `$instance` | Instance | Filters hosts via `label_values(rdma_port_info{job=\"$job\"}, instance)`.                            |\r\n| `$device`   | Device   | Narrows to specific RNICs using `label_values(..., device)`.                                        |\r\n| `$port`     | Port     | Picks a single port (IB port number) per device.                                                    |\r\n| `$interval` | Interval | Query time range shortcuts (1m, 5m, 15m) used in `rate()` windows.                                  |\r\n| `$topn`     | Top N    | Controls the number of instances shown in top-k throughput leaderboards.                            |\r\n\r\n## Panels at a Glance\r\n| Panel Title                                     | Key Metrics                                                                                                                                    | Operational Insight                                                                                           |\r\n|-------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------|\r\n| Overview: Non-ACTIVE Ports [count] / job        | `count(count by (job, instance, device, port) (rdma_port_info{state!=\"ACTIVE\"}))`                                                             | Detects how many ports are down or degraded per job.                                                          |\r\n| Overview: Port State Matrix                     | `rdma_port_info{...}`                                                                                                                           | Cross-filterable heatmap of port state, link layer, and metadata for fleet-wide audits.                       |\r\n| Overview: Link Events [events/s] / job          | `rdma_link_downed_total`, `rdma_link_error_recovery_total` (both via `rate()`)                                                                 | Highlights flapping or unstable links and recovery activity.                                                  |\r\n| Throughput: RX / TX Top-N [B/s] / instance      | `rdma_port_rcv_data_total`, `rdma_port_xmit_data_total`                                                                                        | Identifies busiest hosts or ports by receive/transmit volume.                                                 |\r\n| Packets: Selected Port [pkt/s] / device         | `rdma_port_rcv_packets_total`, `rdma_port_xmit_packets_total`, `rdma_port_multicast_rcv_packets_total`, `rdma_port_unicast_rcv_packets_total` | Breaks down packet rates per direction and traffic class for the focused port.                                |\r\n| Congestion: xmit_wait [ticks/s] / device        | `rdma_port_xmit_wait_total`                                                                                                                    | Surfaces fabric congestion that forces RNICs to delay packet transmission.                                   |\r\n| Congestion: ECN & CNP Signals [events/s] / port | `rdma_np_cnp_sent_total`, `rdma_np_ecn_marked_roce_packets_total`, `rdma_rp_cnp_handled_total`, `rdma_rp_cnp_ignored_total`                     | Correlates ECN marks and congestion-notification packets to measure RoCEv2 congestion control behaviour.      |\r\n| Congestion: Adaptive Retransmission [events/s]  | `rdma_roce_adp_retrans_total`, `rdma_roce_adp_retrans_to_total`                                                                               | Quantifies retransmissions triggered by adaptive timeouts (RoCEv2 congestion recovery).                       |\r\n| Errors: Port Counters [events/s] / instance     | `rdma_port_rcv_errors_total`, `rdma_port_xmit_discards_total`, `rdma_port_rcv_remote_physical_errors_total`, `rdma_symbol_error_total`, etc.   | Aggregates error counters to locate faulty cabling, optics, or firmware anomalies.                           |\r\n| Quality: TX Drop Ratio [%] / port               | `rdma_port_xmit_discards_total` vs. `rdma_port_xmit_packets_total`                                                                             | Visualizes drop ratio to catch oversubscription or buffer exhaustion before it hits SLAs.                    |\r\n\r\n## Extending the Dashboard\r\n- Duplicate panels and swap in any other `rdma_*_total` counters exposed by the exporter (e.g., `rdma_duplicate_request_total`).\r\n- Adjust the `$interval` variable defaults if your Prometheus scrape interval is higher than 60 seconds.\r\n- Pair the dashboard with Grafana alerts on critical expressions (e.g. sustained `rdma_link_downed_total` rates).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-10-14T06:08:52.000Z","updatedAt":"2025-10-15T13:30:47.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24241"},{"rel":"revisions","href":"/dashboards/24241/revisions"},{"rel":"revision","href":"/dashboards/24241/revisions/1"},{"rel":"download","href":"/dashboards/24241/revisions/1/download"},{"rel":"org","href":"/orgs/yuuki"},{"rel":"images","href":"/dashboards/24241/images"},{"rel":"thumbnails","href":"/dashboards/24241/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19646,"status":1,"statusCode":"active","orgId":947674,"orgSlug":"qonto","orgName":"Qonto","slug":"rds-instance","downloads":63769,"revisionId":32108,"revision":12,"name":"RDS instance","description":"AWS RDS instance details","readme":"Dashboard for AWS RDS with consolidated metrics, including:\r\n\r\n- CPU load and usage\r\n- Disk IOPS and throughput ratio\r\n- Disk usage overview\r\n\r\nSee more information at [https://github.com/qonto/prometheus-rds-exporter](https://github.com/qonto/prometheus-rds-exporter)\r\n\r\n## Installation\r\n\r\n1. Install [https://github.com/qonto/prometheus-rds-exporter](https://github.com/qonto/prometheus-rds-exporter)\r\n2. Import the dashboard","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-09-25T07:38:19.000Z","updatedAt":"2024-03-22T14:08:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19646"},{"rel":"revisions","href":"/dashboards/19646/revisions"},{"rel":"revision","href":"/dashboards/19646/revisions/12"},{"rel":"download","href":"/dashboards/19646/revisions/12/download"},{"rel":"org","href":"/orgs/qonto"},{"rel":"images","href":"/dashboards/19646/images"},{"rel":"thumbnails","href":"/dashboards/19646/thumbnails"}]},{"id":19647,"status":1,"statusCode":"active","orgId":947674,"orgSlug":"qonto","orgName":"Qonto","slug":"rds-instances","downloads":61542,"revisionId":32107,"revision":7,"name":"RDS instances","description":"RDS instances inventory","readme":"Dashboard for AWS RDS with consolidated metrics, including:\r\n\r\n- Pending maintenance and modified values\r\n- AWS RDS quota uage\r\n- Inventory\r\n\r\nSee more information at [https://github.com/qonto/prometheus-rds-exporter](https://github.com/qonto/prometheus-rds-exporter)\r\n\r\n## Installation\r\n\r\n1. Install [https://github.com/qonto/prometheus-rds-exporter](https://github.com/qonto/prometheus-rds-exporter)\r\n2. Import the dashboard","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-09-25T08:17:00.000Z","updatedAt":"2024-03-22T14:08:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19647"},{"rel":"revisions","href":"/dashboards/19647/revisions"},{"rel":"revision","href":"/dashboards/19647/revisions/7"},{"rel":"download","href":"/dashboards/19647/revisions/7/download"},{"rel":"org","href":"/orgs/qonto"},{"rel":"images","href":"/dashboards/19647/images"},{"rel":"thumbnails","href":"/dashboards/19647/thumbnails"}]},{"id":13168,"status":1,"statusCode":"active","orgId":425602,"orgSlug":"mikenye","orgName":"mikenye","slug":"readsb","downloads":867,"revisionId":19963,"revision":4,"name":"readsb","description":"Used to visualise metrics collected from the mikenye/readsb-protobuf docker image.","readme":"## Overview\r\n\r\nUsed to visualise metrics collected from the `mikenye/readsb-protobuf` docker image.\r\n\r\nThis dashboard aims to emulate the majority of the functionality of [`graphs1090`](https://github.com/wiedehopf/graphs1090), but using InfluxDB and Grafana, as well as implement some additional cool features like a polar range plot and information about the autogain system present in the container.\r\n\r\n## Requirements\r\n\r\n* [`snuids-radar-panel`](https://grafana.com/grafana/plugins/snuids-radar-panel/installation) installed into your Grafana.\r\n* An instance of InfluxDB.\r\n* A running instance of the `mikenye/readsb-protobuf` docker container.\r\n\r\n## Data Collection\r\n\r\nData is collected from the `mikenye/readsb-protobuf` docker image, which contains a built-in instance of Telegraf. In order for the docker container to collect metrics and send them to your InfluxDB instance, set the following environment variables on your container:\r\n\r\n| Variable | Description | Default |\r\n|----------|-------------|---------|\r\n| `INFLUXDBURL` | The full HTTP URL for your InfluxDB instance. | Unset |\r\n| `INFLUXDBUSERNAME` | If using authentication, a username for your InfluxDB instance. If not using authentication, leave unset. | Unset |\r\n| `INFLUXDBPASSWORD` | If using authentication, a password for your InfluxDB instance. If not using authentication, leave unset. | Unset |\r\n\r\nIf `INFLUXDBURL` is left unset, the image's built-in instance of Telegraf will not be started.\r\n\r\n## Getting help / more info\r\n\r\n[See the project's README](https://github.com/mikenye/docker-readsb-protobuf/blob/main/README.md) for more information: ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-10-13T08:45:20.000Z","updatedAt":"2021-01-03T23:57:40.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13168"},{"rel":"revisions","href":"/dashboards/13168/revisions"},{"rel":"revision","href":"/dashboards/13168/revisions/4"},{"rel":"download","href":"/dashboards/13168/revisions/4/download"},{"rel":"org","href":"/orgs/mikenye"},{"rel":"images","href":"/dashboards/13168/images"},{"rel":"thumbnails","href":"/dashboards/13168/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18148,"status":1,"statusCode":"active","orgId":800178,"orgSlug":"grafanaf409","orgName":"grafanaf409","slug":"readsb-prometheus","downloads":330,"revisionId":27859,"revision":1,"name":"readsb","description":"Using Prometheus as a datasource to visualise readsb data","readme":"Used to visualise metrics collected from the mikenye/readsb-protobuf docker image.\r\n\r\nThis dashboard aims to emulate the majority of the functionality of graphs1090, but using Prometheus and Grafana.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-21T02:54:31.000Z","updatedAt":"2023-02-21T02:56:37.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18148"},{"rel":"revisions","href":"/dashboards/18148/revisions"},{"rel":"revision","href":"/dashboards/18148/revisions/1"},{"rel":"download","href":"/dashboards/18148/revisions/1/download"},{"rel":"org","href":"/orgs/grafanaf409"},{"rel":"images","href":"/dashboards/18148/images"},{"rel":"thumbnails","href":"/dashboards/18148/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15377,"status":1,"statusCode":"active","orgId":576026,"orgSlug":"visibilityspots","orgName":"visibilityspots","slug":"readsb-protobuf","downloads":474,"revisionId":23152,"revision":1,"name":"Readsb-protobuf","description":"Used to visualise metrics collected from the mikenye/readsb-protobuf docker image.\r\n\r\nCurrently without the polar range and tracked aircraft sections. 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To effectively monitor your Redis Cloud deployment, we recommend two Grafana dashboards:\r\n* [Redis Cloud Database Dashboard](https://grafana.com/grafana/dashboards/18407-database-status-dashboard/)\r\n* [Redis Cloud Subscription Dashboard](https://grafana.com/grafana/dashboards/18406-subscription-status-dashboard/)\r\n\r\n## Documentation\r\n\r\nTo view the complete set of available Redis Cloud dashboards, see the [Redis Enterprise Grafana Dashboards Github repository](https://github.com/redis-field-engineering/redis-enterprise-grafana-dashboards).\r\n\r\n## Support\r\n\r\nThe Redis Grafana dashboards are supported by Redis, Inc. on a good faith effort basis. To report bugs, request features, or receive assistance, please [file an issue](https://github.com/redis-field-engineering/redis-enterprise-grafana-dashboards/issues).\r\n\r\n## License\r\n\r\nThese dashboards and configurations are licensed under the MIT License. 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clusters.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-12T08:30:03.000Z","updatedAt":"2023-07-12T08:31:55.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19157"},{"rel":"revisions","href":"/dashboards/19157/revisions"},{"rel":"revision","href":"/dashboards/19157/revisions/1"},{"rel":"download","href":"/dashboards/19157/revisions/1/download"},{"rel":"org","href":"/orgs/cappynas"},{"rel":"images","href":"/dashboards/19157/images"},{"rel":"thumbnails","href":"/dashboards/19157/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19224,"status":1,"statusCode":"active","orgId":904831,"orgSlug":"igorbezu","orgName":"igorbezu","slug":"redis-elastic","downloads":313,"revisionId":29468,"revision":1,"name":"Redis Elastic","description":"Predefined dashboards to observe any Redis database using Redis Data Source. Requires Grafana 7.1+.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Redis","privacy":"public","createdAt":"2023-07-24T13:48:22.000Z","updatedAt":"2023-07-24T13:48:34.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19224"},{"rel":"revisions","href":"/dashboards/19224/revisions"},{"rel":"revision","href":"/dashboards/19224/revisions/1"},{"rel":"download","href":"/dashboards/19224/revisions/1/download"},{"rel":"org","href":"/orgs/igorbezu"},{"rel":"images","href":"/dashboards/19224/images"},{"rel":"thumbnails","href":"/dashboards/19224/thumbnails"}],"datasourceSlugs":["redis-datasource"]},{"id":18405,"status":1,"statusCode":"active","orgId":196739,"orgSlug":"redis","orgName":"Redis","slug":"cluster-status-dashboard","downloads":2213,"revisionId":28235,"revision":1,"name":"Redis Enterprise: Cluster Status","description":"Prometheus-based dashboard for monitoring your Redis Enterprise Software databases.","readme":"# Redis Enterprise Software Cluster Dashboards\r\n\r\nThis dashboard summarizes metrics for your [Redis Enterprise Software](https://docs.redis.com/latest/rs/) clusters. Some of the available metrics include the following:\r\n\r\n* Database count\r\n* Used memory\r\n* Throughput\r\n* Latency\r\n* Key count\r\n* Connection count\r\n\r\n## Redis Software Dashboards\r\n\r\nTo effectively monitor your Redis Enterprise Software deployment, we recommend the following Grafana dashboards:\r\n* [Redis Software Cluster Dashboard]()\r\n* [Redis Software Database Dashboard]()\r\n\r\nIn addition to these dashboards, we recommend the cluster node and shard dashboards:\r\n* [Redis Software Cluster Node Dashboard](https://github.com/redis-field-engineering/redis-enterprise-grafana-dashboards/blob/main/dashboards/software/basic/redis-software-node-dashboard.json)\r\n* [Redis Software Shard Dashboard](https://github.com/redis-field-engineering/redis-enterprise-grafana-dashboards/blob/main/dashboards/software/basic/redis-software-shard-dashboard.json)\r\n\r\n## Documentation\r\n\r\nTo view the complete set of available Redis Cloud dashboards, see the [Redis Enterprise Grafana Dashboards Github repository](https://github.com/redis-field-engineering/redis-enterprise-grafana-dashboards).\r\n\r\n## Support\r\n\r\nThe Redis Grafana dashboards are supported by Redis, Inc. on a good faith effort basis. To report bugs, request features, or receive assistance, please [file an issue](https://github.com/redis-field-engineering/redis-enterprise-grafana-dashboards/issues).\r\n\r\n## License\r\n\r\nThese dashboards and configurations are licensed under the MIT License. Copyright (C) 2023 Redis, Inc.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-31T22:35:59.000Z","updatedAt":"2023-04-15T13:38:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18405"},{"rel":"revisions","href":"/dashboards/18405/revisions"},{"rel":"revision","href":"/dashboards/18405/revisions/1"},{"rel":"download","href":"/dashboards/18405/revisions/1/download"},{"rel":"org","href":"/orgs/redis"},{"rel":"images","href":"/dashboards/18405/images"},{"rel":"thumbnails","href":"/dashboards/18405/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17507,"status":1,"statusCode":"active","orgId":210798,"orgSlug":"starsliao","orgName":"StarsL.cn","slug":"1-redis-exporter-dashboard","downloads":4071,"revisionId":26878,"revision":1,"name":"Redis Exporter Dashboard CN 20221128-StarsL.cn","description":"基于官方版本汉化，增加总览页，优化重要指标展示。","readme":"### [查看：使用一个redis_exporter监控所有的Redis实例](https://github.com/starsliao/ConsulManager/blob/main/docs/%E4%BD%BF%E7%94%A8%E4%B8%80%E4%B8%AAredis_exporter%E7%9B%91%E6%8E%A7%E6%89%80%E6%9C%89%E7%9A%84Redis%E5%AE%9E%E4%BE%8B.md)\r\n\r\n**该看板也支持自建redis使用，使用redis_exporter的指标均能正常展示。（总览图中少量云资源的指标在自建redis中会无法展示，其它图表不影响。）**\r\n\r\n##### ?[**推荐：**配合ConsulManager使用，自动同步监控云REDIS](https://github.com/starsliao/ConsulManager)\r\n\r\n---\r\n\r\n> 官方redis_exporter仓库：https://github.com/oliver006/redis_exporter\r\n\r\n新建一个`docker-compose.yml`，内容如下：\r\n\r\n```\r\nversion: \"3.2\"\r\nservices:\r\n  redis-exporter:\r\n    image: oliver006/redis_exporter\r\n    container_name: redis-exporter\r\n    restart: unless-stopped\r\n    command:\r\n      - \"-redis.password-file=/redis_passwd.json\"\r\n    volumes:\r\n      - /usr/share/zoneinfo/PRC:/etc/localtime\r\n      - /data/redis-exporter/redis_passwd.json:/redis_passwd.json\r\n    expose:\r\n      - 9121\r\n    network_mode: \"host\"\r\n```\r\n新建一个redis的实例地址与密码文件，`/data/redis-exporter/redis_passwd.json`：\r\n```\r\n{\r\n  \"redis://xxxxxxxxxxx.dcs.huaweicloud.com:6379\":\"\",\r\n  \"redis://aaaaaaaa.cn-south-1.dcs.myhuaweicloud.com:6379\":\"q1azw2sx\"\r\n}\r\n```\r\n- docker-compose中挂载配置文件文件的本地路径注意根据实际情况修改。\r\n- 配置文件的格式为json，每行一个实例的信息格式为：\"redis://`实例地址端口`\":\"`redis密码`\"\r\n- `实例地址端口`请查看`云REDIS列表`或`自建redis管理`的`实例`字段。\r\n- 如redis无密码，保留空双引号即可`\"\"`。\r\n\r\n启动：`docker-compose up -d`\r\n\r\n\r\n### 赞赏与关注公众号【云原生DevOps】加入运维群交流，获取更多...\r\n![](https://starsl.cn/static/img/thanks.png)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-28T08:47:09.000Z","updatedAt":"2023-07-07T07:41:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17507"},{"rel":"revisions","href":"/dashboards/17507/revisions"},{"rel":"revision","href":"/dashboards/17507/revisions/1"},{"rel":"download","href":"/dashboards/17507/revisions/1/download"},{"rel":"org","href":"/orgs/starsliao"},{"rel":"images","href":"/dashboards/17507/images"},{"rel":"thumbnails","href":"/dashboards/17507/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14091,"status":1,"statusCode":"active","orgId":5000,"orgSlug":"grafana","orgName":"Grafana Labs","slug":"redis-dashboard-for-prometheus-redis-exporter-1-x","downloads":277178,"revisionId":20668,"revision":1,"name":"Redis Exporter Quickstart and Dashboard","description":"A quickstart to setup the Prometheus Redis Exporter with preconfigured dashboards, alerting rules, and recording rules.","readme":"To use this dashboard, please follow the [Redis Exporter Quickstart](https://grafana.com/oss/prometheus/exporters/redis-exporter). This quickstart helps you monitor your Redis server by setting up the Prometheus Redis exporter with preconfigured dashboards, alerting rules, and recording rules. This dashboard includes panels for the following metrics:\n\n- Commands Per Second\n- Commands Latency Per Second\n- Hit Ratio Per Instance\n- Total Memory Usage\n- Memory Fragmantation Ratio Per Instance\n- Key Evictions Per Second Per Instance\n- Connected/Blocked Clients\n- Total Items Per DB\n- Expiring vs Non-Expiring Keys\n- Connected Slaves Per Instance\n- Time Since Last Master Connection\n\nThis dashboard was generated using the Redis Exporter [mixin](https://github.com/oliver006/redis_exporter/tree/master/contrib/redis-mixin).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-03-19T01:43:08.000Z","updatedAt":"2021-03-19T01:45:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14091"},{"rel":"revisions","href":"/dashboards/14091/revisions"},{"rel":"revision","href":"/dashboards/14091/revisions/1"},{"rel":"download","href":"/dashboards/14091/revisions/1/download"},{"rel":"org","href":"/orgs/grafana"},{"rel":"images","href":"/dashboards/14091/images"},{"rel":"thumbnails","href":"/dashboards/14091/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21997,"status":1,"statusCode":"active","orgId":1234359,"orgSlug":"zhenghan008","orgName":"zhenghan008","slug":"redis-mem-hot-big-key-statistics","downloads":274,"revisionId":34451,"revision":1,"name":"Redis MEM HOT BIG Key Statistics","description":"Redis MEM HOT BIG Key Statistics","readme":"Requirements：\r\n         github：https://github.com/zhenghan008/redisKeyMetrics","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-09-30T07:31:26.000Z","updatedAt":"2024-09-30T07:33:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21997"},{"rel":"revisions","href":"/dashboards/21997/revisions"},{"rel":"revision","href":"/dashboards/21997/revisions/1"},{"rel":"download","href":"/dashboards/21997/revisions/1/download"},{"rel":"org","href":"/orgs/zhenghan008"},{"rel":"images","href":"/dashboards/21997/images"},{"rel":"thumbnails","href":"/dashboards/21997/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22493,"status":1,"statusCode":"active","orgId":683756,"orgSlug":"bauk","orgName":"bauk","slug":"redis-overview","downloads":1225,"revisionId":35350,"revision":1,"name":"Redis Overview","description":"redis_exporter for redis","readme":"# Redis_exporter\r\n\r\n## 1.下载配置\r\n\r\n​\t下载文件：redis_exporter-v1.31.4.linux-amd64.tar.gz\r\n​\t解压：\r\n\r\n```shell\r\ntar -C /home -xvf redis_exporter-v1.31.4.linux-amd64.tar.gz && cd /home\r\nmv redis_exporter-v1.31.4.linux-amd64 redis_exporter\r\n```\r\n\r\n​\t配置systemd选项：\r\n\r\n```shell\r\nvim /usr/lib/systemd/system/redis_exporter.service\r\n[Unit]\r\nDescription=Redis exporter\r\nAfter=network.target\r\n\r\n[Service]\r\nUser=prometheus\r\nGroup=prometheus\r\nExecStart=/home/redis_exporter/redis_exporter -redis.addr 10.1xx.1.2xx:6379\r\nType=simple\r\n\r\n[Install]\r\nWantedBy=multi-user.target\r\n```\r\n\r\n​\t启动：\r\n\r\n```shell\r\nsystemctl daemon-reload\r\nsystemctl start redis_exporter\r\nsystemctl status redis_exporter\r\nsystemctl enable redis_exporter\r\n```\r\n\r\n## 2.配置prometheus\r\n\r\n​\t添加至prometheus.yml:\r\n\r\n  - ```shell\r\n      - job_name: 'redis_exporter_targets'\r\n        static_configs:\r\n          - targets:\r\n            - \"10.1xx.1.2xx:6379\"\r\n            - \"10.1xx.1.2xx:6379\"\r\n            - \"10.1xx.1.2xx:6379\"\r\n              metrics_path: '/scrape'\r\n              relabel_configs:\r\n          - source_labels: [__address__]\r\n            target_label: __param_target\r\n          - source_labels: [__param_target]\r\n            target_label: instance\r\n          - target_label: __address__\r\n            replacement: \"10.1xx.1.2xx:9121\"\r\n        \r\n      # config for scraping the exporter itself\r\n        \r\n      - job_name: 'redis_exporter'\r\n        static_configs:\r\n          - targets:\r\n            - \"10.19.1.2xx:9121\"\r\n    ```\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-12-09T08:06:34.000Z","updatedAt":"2024-12-09T08:09:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22493"},{"rel":"revisions","href":"/dashboards/22493/revisions"},{"rel":"revision","href":"/dashboards/22493/revisions/1"},{"rel":"download","href":"/dashboards/22493/revisions/1/download"},{"rel":"org","href":"/orgs/bauk"},{"rel":"images","href":"/dashboards/22493/images"},{"rel":"thumbnails","href":"/dashboards/22493/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24819,"status":1,"statusCode":"active","orgId":891964,"orgSlug":"callcorp","orgName":"CallCorp","slug":"redis-overview","downloads":35,"revisionId":39810,"revision":1,"name":"Redis Overview","description":"Redis Overview","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-02-06T17:00:28.000Z","updatedAt":"2026-02-10T10:56:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24819"},{"rel":"revisions","href":"/dashboards/24819/revisions"},{"rel":"revision","href":"/dashboards/24819/revisions/1"},{"rel":"download","href":"/dashboards/24819/revisions/1/download"},{"rel":"org","href":"/orgs/callcorp"},{"rel":"images","href":"/dashboards/24819/images"},{"rel":"thumbnails","href":"/dashboards/24819/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17408,"status":1,"statusCode":"active","orgId":743711,"orgSlug":"dnutiu","orgName":"dnutiu","slug":"redis-overview","downloads":1220,"revisionId":26741,"revision":1,"name":"Redis Overview","description":"Redis Dashboard for Prometheus Redis Exporter 1.x","readme":"Custom Redis Node Exporter dashboard for Grafana that displays:\r\n- Server Statiscs: Uptime\r\n- Basic Activity\r\n- Pubsub activity\r\n- Network Activity\r\n- Performance\r\n- Memory\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-14T16:00:46.000Z","updatedAt":"2022-11-14T16:01:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17408"},{"rel":"revisions","href":"/dashboards/17408/revisions"},{"rel":"revision","href":"/dashboards/17408/revisions/1"},{"rel":"download","href":"/dashboards/17408/revisions/1/download"},{"rel":"org","href":"/orgs/dnutiu"},{"rel":"images","href":"/dashboards/17408/images"},{"rel":"thumbnails","href":"/dashboards/17408/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18345,"status":1,"statusCode":"active","orgId":683756,"orgSlug":"bauk","orgName":"bauk","slug":"redis-overview","downloads":4275,"revisionId":28164,"revision":1,"name":"Redis Overview","description":"redis_exporter for redis","readme":"# Redis_exporter\r\n\r\n## 1.下载配置\r\n\r\n​\t下载文件：redis_exporter-v1.31.4.linux-amd64.tar.gz\r\n​\t解压：\r\n\r\n```shell\r\ntar -C /home -xvf redis_exporter-v1.31.4.linux-amd64.tar.gz && cd /home\r\nmv redis_exporter-v1.31.4.linux-amd64 redis_exporter\r\n```\r\n\r\n​\t配置systemd选项：\r\n\r\n```shell\r\nvim /usr/lib/systemd/system/redis_exporter.service\r\n[Unit]\r\nDescription=Redis exporter\r\nAfter=network.target\r\n\r\n[Service]\r\nUser=prometheus\r\nGroup=prometheus\r\nExecStart=/home/redis_exporter/redis_exporter -redis.addr 10.1xx.1.2xx:6379\r\nType=simple\r\n\r\n[Install]\r\nWantedBy=multi-user.target\r\n```\r\n\r\n​\t启动：\r\n\r\n```shell\r\nsystemctl daemon-reload\r\nsystemctl start redis_exporter\r\nsystemctl status redis_exporter\r\nsystemctl enable redis_exporter\r\n```\r\n\r\n## 2.配置prometheus\r\n\r\n​\t添加至prometheus.yml:\r\n\r\n  - ```shell\r\n      - job_name: 'redis_exporter_targets'\r\n        static_configs:\r\n          - targets:\r\n            - \"10.1xx.1.2xx:6379\"\r\n            - \"10.1xx.1.2xx:6379\"\r\n            - \"10.1xx.1.2xx:6379\"\r\n              metrics_path: '/scrape'\r\n              relabel_configs:\r\n          - source_labels: [__address__]\r\n            target_label: __param_target\r\n          - source_labels: [__param_target]\r\n            target_label: instance\r\n          - target_label: __address__\r\n            replacement: \"10.1xx.1.2xx:9121\"\r\n        \r\n      # config for scraping the exporter itself\r\n        \r\n      - job_name: 'redis_exporter'\r\n        static_configs:\r\n          - targets:\r\n            - \"10.19.1.2xx:9121\"\r\n    ```\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-23T02:21:46.000Z","updatedAt":"2024-12-09T07:47:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18345"},{"rel":"revisions","href":"/dashboards/18345/revisions"},{"rel":"revision","href":"/dashboards/18345/revisions/1"},{"rel":"download","href":"/dashboards/18345/revisions/1/download"},{"rel":"org","href":"/orgs/bauk"},{"rel":"images","href":"/dashboards/18345/images"},{"rel":"thumbnails","href":"/dashboards/18345/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23457,"status":1,"statusCode":"active","orgId":1176942,"orgSlug":"sopranodario","orgName":"sopranodario","slug":"redis-prod-02-real-time-streaming","downloads":246,"revisionId":37259,"revision":1,"name":"Redis Prod 02 (Real-time streaming)","description":"Predefined dashboard to observe any Redis database using Redis Data Source. Requires Grafana 7.1+.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Redis","privacy":"public","createdAt":"2025-05-20T15:57:23.000Z","updatedAt":"2025-05-20T15:57:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23457"},{"rel":"revisions","href":"/dashboards/23457/revisions"},{"rel":"revision","href":"/dashboards/23457/revisions/1"},{"rel":"download","href":"/dashboards/23457/revisions/1/download"},{"rel":"org","href":"/orgs/sopranodario"},{"rel":"images","href":"/dashboards/23457/images"},{"rel":"thumbnails","href":"/dashboards/23457/thumbnails"}],"datasourceSlugs":["redis-datasource"]},{"id":10287,"status":1,"statusCode":"active","orgId":255244,"orgSlug":"ashishtiwari","orgName":"Ashish tiwari","slug":"redis-queue-length-monitor","downloads":975,"revisionId":14391,"revision":1,"name":"Redis Queue Length Monitor","description":"Grafana dashboard leveraging Prometheus for Redis Queue Length","readme":"This dashboard leverages Prometheus to deliver metrics into Grafana displaying the length of the Redis queue.\nPrometheus - Redis queue length dashboard : Display collected data by Prometheus redis_queue_length_exporter (https://github.com/ashishtiwari1993/redis_queue_length_exporter)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-06-03T09:09:16.000Z","updatedAt":"2020-08-27T15:10:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10287"},{"rel":"revisions","href":"/dashboards/10287/revisions"},{"rel":"revision","href":"/dashboards/10287/revisions/1"},{"rel":"download","href":"/dashboards/10287/revisions/1/download"},{"rel":"org","href":"/orgs/ashishtiwari"},{"rel":"images","href":"/dashboards/10287/images"},{"rel":"thumbnails","href":"/dashboards/10287/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9570,"status":1,"statusCode":"active","orgId":226181,"orgSlug":"leominov","orgName":"Lev Aminov","slug":"redis-sentinel","downloads":23574,"revisionId":13237,"revision":1,"name":"Redis Sentinel","description":"Based on metrics from leominov/redis_sentinel_exporter","readme":"Based on metrics from https://github.com/leominov/redis_sentinel_exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-12-25T12:38:29.000Z","updatedAt":"2018-12-25T12:41:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9570"},{"rel":"revisions","href":"/dashboards/9570/revisions"},{"rel":"revision","href":"/dashboards/9570/revisions/1"},{"rel":"download","href":"/dashboards/9570/revisions/1/download"},{"rel":"org","href":"/orgs/leominov"},{"rel":"images","href":"/dashboards/9570/images"},{"rel":"thumbnails","href":"/dashboards/9570/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6908,"status":1,"statusCode":"active","orgId":165233,"orgSlug":"adj009","orgName":"adj009","slug":"redis-server","downloads":4356,"revisionId":9410,"revision":1,"name":"Redis Server","description":"A Redis Server Performance Dashboard","readme":"Performance Monitoring for Redis Server with General, CPU, Stats and Memory monitoring.\r\n\r\nRequirements - \r\nInfluxDB, Telegraf wirh Redis Plugin","collectorType":"Telegraf","collectorConfig":"Telegraf Configuration File \r\n\r\nhttps://github.com/influxdata/telegraf/tree/master/plugins/inputs/redis","collectorPluginList":"redis","datasource":"InfluxDB","privacy":"public","createdAt":"2018-07-10T09:48:40.000Z","updatedAt":"2018-07-10T16:43:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/6908"},{"rel":"revisions","href":"/dashboards/6908/revisions"},{"rel":"revision","href":"/dashboards/6908/revisions/1"},{"rel":"download","href":"/dashboards/6908/revisions/1/download"},{"rel":"org","href":"/orgs/adj009"},{"rel":"images","href":"/dashboards/6908/images"},{"rel":"thumbnails","href":"/dashboards/6908/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12497,"status":1,"statusCode":"active","orgId":383613,"orgSlug":"opstreedevops","orgName":"opstreedevops","slug":"redis-server","downloads":2055,"revisionId":18004,"revision":2,"name":"Redis Server","description":"A Redis Server Performance Monitoring Redis Server with Prometheus and telegraf agent using Redis agent","readme":"# Redis Dashboard\r\n\r\nThis Dashboard Monitor Redis using Prometheus as Data Source and telegraf as an agent using the Redis input plugin.\r\n\r\n## Redis Plugin Configuration\r\n```\r\n[[inputs.redis]]\r\n  servers = [\"tcp://redis:6379\"]\r\n##  e.g.\r\n  ##    tcp://localhost:6379\r\n  ##    tcp://:password@192.168.99.100\r\n```\r\nFor more information on configuration and metrics detail of redis input plugin please [click here](https://github.com/influxdata/telegraf/tree/master/plugins/inputs/redis)\r\n\r\n# dashboard Panels\r\n- Total Clusters\r\n- Redis Up Time\r\n- Total Clients Connected\r\n- Total Connection Received\r\n- Redis User CPU Usage\r\n- Redis Memory Utilization\r\n- Hit/Miss Rate\r\n- Total Tracking Items\r\n- Evicted/Expired Keys\r\n- Total Keyspaces\r\n- Total Commands Processed\r\n- Total Connected Processed\r\n- Instantaneous OPS Per Sec\r\n- Received/Rejected Connections\r\n- Network Input/Output\r\n\r\n### Contributer Information\r\n**mahesh.kumar@opstree.com**","collectorType":"Telegraf","collectorConfig":"\r\n","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-06-18T17:09:29.000Z","updatedAt":"2022-06-03T12:36:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/12497"},{"rel":"revisions","href":"/dashboards/12497/revisions"},{"rel":"revision","href":"/dashboards/12497/revisions/2"},{"rel":"download","href":"/dashboards/12497/revisions/2/download"},{"rel":"org","href":"/orgs/opstreedevops"},{"rel":"images","href":"/dashboards/12497/images"},{"rel":"thumbnails","href":"/dashboards/12497/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10102,"status":1,"statusCode":"active","orgId":246352,"orgSlug":"kkaushal7","orgName":"kkaushal7","slug":"redis-server-second","downloads":428,"revisionId":14128,"revision":1,"name":"Redis Server","description":"A Redis Server Performance 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Dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-06-03T10:48:19.000Z","updatedAt":"2019-06-03T10:50:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10290"},{"rel":"revisions","href":"/dashboards/10290/revisions"},{"rel":"revision","href":"/dashboards/10290/revisions/1"},{"rel":"download","href":"/dashboards/10290/revisions/1/download"},{"rel":"org","href":"/orgs/mantis"},{"rel":"images","href":"/dashboards/10290/images"},{"rel":"thumbnails","href":"/dashboards/10290/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":881,"status":1,"statusCode":"active","orgId":15233,"orgSlug":"trevor","orgName":"Trevor Dodds","slug":"redis-server-metrics","downloads":4322,"revisionId":1885,"revision":2,"name":"Redis Server Metrics","description":"Redis Metrics from metricbeat to elasticsearch","readme":"Dashboard from metricbeat metrics of the OS (Windows) and Redis.\r\n\r\n * I'll update once metricbeat has more Redis counters to collect from.\r\n\r\n - Updated 01/27 to remove some static data from template.","collectorType":"Beats","collectorConfig":"metricbeat.yml\r\n\r\n    - cpu\r\n    cpu_ticks: false\r\n\r\n    - process\r\n    enabled: true\r\n    period: 20s\r\n    processes: ['metricbeat.exe','redis-server.exe']\r\n\r\n    - module: system\r\n      metricsets:\r\n      - filesystem  \r\n      enabled: true\r\n      period: 300s \r\n\r\n    - module: system\r\n      metricsets:\r\n       - memory\r\n       - network\r\n      enabled: true\r\n      period: 60s \r\n\r\n    - module: redis\r\n      metricsets: [\"info\", \"keyspace\"]\r\n      enabled: true\r\n      period: 10s","collectorPluginList":"Metricbeat","datasource":"Elasticsearch","privacy":"public","createdAt":"2016-11-17T19:23:37.000Z","updatedAt":"2017-01-27T12:51:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/881"},{"rel":"revisions","href":"/dashboards/881/revisions"},{"rel":"revision","href":"/dashboards/881/revisions/2"},{"rel":"download","href":"/dashboards/881/revisions/2/download"},{"rel":"org","href":"/orgs/trevor"},{"rel":"images","href":"/dashboards/881/images"},{"rel":"thumbnails","href":"/dashboards/881/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":5498,"status":1,"statusCode":"active","orgId":78735,"orgSlug":"langerma","orgName":"Markus Langer","slug":"redis-server-metrics","downloads":1306,"revisionId":7388,"revision":1,"name":"Redis Server Metrics","description":"Redis Metrics from telegraf","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"redis","datasource":"OpenTSDB","privacy":"public","createdAt":"2018-04-11T05:57:59.000Z","updatedAt":"2018-04-11T05:59:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5498"},{"rel":"revisions","href":"/dashboards/5498/revisions"},{"rel":"revision","href":"/dashboards/5498/revisions/1"},{"rel":"download","href":"/dashboards/5498/revisions/1/download"},{"rel":"org","href":"/orgs/langerma"},{"rel":"images","href":"/dashboards/5498/images"},{"rel":"thumbnails","href":"/dashboards/5498/thumbnails"}],"datasourceSlugs":["opentsdb"]},{"id":12647,"status":1,"statusCode":"active","orgId":400459,"orgSlug":"oleksandriegorov","orgName":"oleksandriegorov","slug":"redis-server-metrics","downloads":663,"revisionId":18184,"revision":1,"name":"Redis server metrics","description":"Health and performance metrics from a redis server. Server name is selectable from a dynamic list.","readme":"This dashboard shows:\r\n- basic health metrics for a redis server : Load average, CPU usage, memory usage\r\n- various redis server performance characteristics: operations per second, cache hits, connection and etc.  \r\n\r\nMake sure to select your own InfluxDB datasource though.  \r\nNotable that for a list of servers selection this dashboard searches in the same datasource for a distinct list of servers.   Therefore once a new server start logging into influxdb through collectd - it will be there upon a dashboard refresh.","collectorType":"collectd","collectorConfig":"There is really no specific collector configuration required. \r\n# Automated way via Puppet\r\n```\r\nyum install epel-release -y\r\nyum install puppet -y\r\npuppet module install puppet-collectd\r\ncat > /tmp/collectd_redis.pp << EOF\r\nclass { 'collectd::plugin::redis':\r\n  manage_package => true,\r\n  nodes => {\r\n    $facts['hostname'] => {\r\n      'host'     => 'localhost',\r\n      'port'     => 6379,\r\n      'password' => '<yourpasswordgoes here if needed>',\r\n      'timeout'  => 2000,\r\n    },\r\n  }\r\n}\r\nEOF\r\npuppet apply /tmp/collectd_redis.pp\r\n\r\n```\r\n\r\n# Manual way\r\nJust make sure to install collectd-redis rpm\r\nHere is a sample config\r\n```\r\n[user@server ~]# cat /etc/collectd.d/10-redis.conf\r\n# Generated by Puppet\r\n<LoadPlugin redis>\r\n  Globals false\r\n</LoadPlugin>\r\n\r\n<Plugin redis>\r\n  <Node \"servername\">\r\n    Host \"localhost\"\r\n    Port \"6379\"\r\n    Timeout 2000\r\n    Password \"password for redis server\"\r\n  </Node>\r\n</Plugin>\r\n```\r\nHere is the url to collectd-redis plugin configuration: https://collectd.org/documentation/manpages/collectd.conf.5.shtml#plugin_redis\r\n\r\n","collectorPluginList":"Redis plugin","datasource":"InfluxDB","privacy":"public","createdAt":"2020-07-14T17:27:49.000Z","updatedAt":"2020-07-14T17:45:17.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12647"},{"rel":"revisions","href":"/dashboards/12647/revisions"},{"rel":"revision","href":"/dashboards/12647/revisions/1"},{"rel":"download","href":"/dashboards/12647/revisions/1/download"},{"rel":"org","href":"/orgs/oleksandriegorov"},{"rel":"images","href":"/dashboards/12647/images"},{"rel":"thumbnails","href":"/dashboards/12647/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16501,"status":1,"statusCode":"active","orgId":669105,"orgSlug":"bd353533004","orgName":"zhuangjiajun","slug":"redis-server-overview-with-telegraf","downloads":587,"revisionId":25175,"revision":1,"name":"Redis Server Overview With Telegraf","description":"A Redis Server Performance Monitoring Redis Server with Prometheus and telegraf agent using Redis agent","readme":"### telegraf ---> n9e server ---> prometheus ---> grafana\r\n\r\n#### Metrics include\r\n- Uptime\r\n- Total Cluster\r\n- Total Clients Connected\r\n- Cpu\r\n- Memory\r\n- Hit\r\n- Network Traffic","collectorType":"Telegraf","collectorConfig":"## telegraf.conf\r\n\r\n```yaml\r\n[global_tags]\r\n\r\n[agent]\r\n  interval = \"10s\"\r\n  round_interval = true\r\n  metric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"10s\"\r\n  flush_jitter = \"0s\"\r\n  precision = \"\"\r\n  hostname = \"###Your Ip Address or  Endpoint Name###\"\r\n  omit_hostname = false\r\n  logfile = \"/data/telegraf/var/log/telegraf/telegraf.log\"\r\n\r\n[[outputs.opentsdb]]\r\n  host = \"http://###Your n9e-server ip###\" # n9e-server\r\n  port = 19000\r\n  http_batch_size = 50\r\n  http_path = \"/opentsdb/put\"\r\n  debug = false\r\n  separator = \"_\"\r\n\r\n[[inputs.cpu]]\r\n  percpu = true\r\n  totalcpu = true\r\n  collect_cpu_time = false\r\n  report_active = true\r\n\r\n[[inputs.disk]]\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\r\n\r\n[[inputs.diskio]]\r\n\r\n[[inputs.kernel]]\r\n\r\n[[inputs.mem]]\r\n\r\n[[inputs.processes]]\r\n\r\n[[inputs.system]]\r\n  fielddrop = [\"uptime_format\"]\r\n\r\n[[inputs.net]]\r\n  ignore_protocol_stats = true\r\n\r\n[[inputs.linux_sysctl_fs]]\r\n\r\n[[inputs.netstat]]\r\n\r\n[[inputs.redis]]\r\n  servers = [\r\n    \"tcp://:###passwd###@###redis-server-ip###:6379\", # test\r\n    \"tcp://:###passwd###@###redis-server-ip###:6379\", # test    \r\n    \"tcp://:###passwd###@###redis-server-ip###:6379\", # uat\r\n  ]\r\n\r\n```","collectorPluginList":"redis","datasource":"Prometheus","privacy":"public","createdAt":"2022-06-24T02:30:07.000Z","updatedAt":"2022-06-24T03:27:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16501"},{"rel":"revisions","href":"/dashboards/16501/revisions"},{"rel":"revision","href":"/dashboards/16501/revisions/1"},{"rel":"download","href":"/dashboards/16501/revisions/1/download"},{"rel":"org","href":"/orgs/bd353533004"},{"rel":"images","href":"/dashboards/16501/images"},{"rel":"thumbnails","href":"/dashboards/16501/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21566,"status":1,"statusCode":"active","orgId":90180,"orgSlug":"andrii29","orgName":"andrii29","slug":"redis-stream-exporter","downloads":371,"revisionId":33885,"revision":3,"name":"Redis Stream Exporter","description":"Exports Redis Stream metrics for Prometheus monitoring","readme":"Dashboard for [redis-stream-exporter](https://github.com/andrii29/redis-stream-exporter)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-07-22T19:25:01.000Z","updatedAt":"2024-08-08T08:11:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21566"},{"rel":"revisions","href":"/dashboards/21566/revisions"},{"rel":"revision","href":"/dashboards/21566/revisions/3"},{"rel":"download","href":"/dashboards/21566/revisions/3/download"},{"rel":"org","href":"/orgs/andrii29"},{"rel":"images","href":"/dashboards/21566/images"},{"rel":"thumbnails","href":"/dashboards/21566/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13781,"status":1,"statusCode":"active","orgId":458767,"orgSlug":"mtredis","orgName":"redis集群","slug":"redis","downloads":429,"revisionId":20659,"revision":2,"name":"Redis全局","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-27T04:02:19.000Z","updatedAt":"2021-03-18T03:18:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13781"},{"rel":"revisions","href":"/dashboards/13781/revisions"},{"rel":"revision","href":"/dashboards/13781/revisions/2"},{"rel":"download","href":"/dashboards/13781/revisions/2/download"},{"rel":"org","href":"/orgs/mtredis"},{"rel":"images","href":"/dashboards/13781/images"},{"rel":"thumbnails","href":"/dashboards/13781/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12328,"status":1,"statusCode":"active","orgId":308970,"orgSlug":"congcongnanian","orgName":"Wu Feng","slug":"redis","downloads":948,"revisionId":17619,"revision":1,"name":"Redis详情","description":"修改自Younes Ouadi","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-05-19T04:31:01.000Z","updatedAt":"2020-05-19T04:32:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12328"},{"rel":"revisions","href":"/dashboards/12328/revisions"},{"rel":"revision","href":"/dashboards/12328/revisions/1"},{"rel":"download","href":"/dashboards/12328/revisions/1/download"},{"rel":"org","href":"/orgs/congcongnanian"},{"rel":"images","href":"/dashboards/12328/images"},{"rel":"thumbnails","href":"/dashboards/12328/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13782,"status":1,"statusCode":"active","orgId":458767,"orgSlug":"mtredis","orgName":"redis集群","slug":"redis","downloads":546,"revisionId":20658,"revision":2,"name":"Redis集群","description":"Redis全局","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-27T04:05:03.000Z","updatedAt":"2021-03-18T03:16:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13782"},{"rel":"revisions","href":"/dashboards/13782/revisions"},{"rel":"revision","href":"/dashboards/13782/revisions/2"},{"rel":"download","href":"/dashboards/13782/revisions/2/download"},{"rel":"org","href":"/orgs/mtredis"},{"rel":"images","href":"/dashboards/13782/images"},{"rel":"thumbnails","href":"/dashboards/13782/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22157,"status":1,"statusCode":"active","orgId":474105,"orgSlug":"vectorizedcloudpoc","orgName":"Redpanda Data, Inc.","slug":"redpanda-connect-monitoring","downloads":578,"revisionId":34791,"revision":1,"name":"Redpanda Connect","description":"Dashboard for Redpanda Connect","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-10-24T16:43:33.000Z","updatedAt":"2024-10-24T16:44:33.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22157"},{"rel":"revisions","href":"/dashboards/22157/revisions"},{"rel":"revision","href":"/dashboards/22157/revisions/1"},{"rel":"download","href":"/dashboards/22157/revisions/1/download"},{"rel":"org","href":"/orgs/vectorizedcloudpoc"},{"rel":"images","href":"/dashboards/22157/images"},{"rel":"thumbnails","href":"/dashboards/22157/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18134,"status":1,"statusCode":"active","orgId":474105,"orgSlug":"vectorizedcloudpoc","orgName":"Redpanda Data, Inc.","slug":"redpanda-default-dashboard","downloads":2012,"revisionId":34789,"revision":3,"name":"Redpanda Default Dashboard","description":"","readme":"This is the default dashboard for Redpanda. There are many charts on this page, so instead of listing each one here are the sections:\r\n- Redpanda summary\r\n- internal RPC latency\r\n- throughput\r\n- errors\r\n- IO queue\r\n- memory\r\n- others (build info, uptime, number of configured brokers, etc.)\r\n- raft\r\n- scheduler\r\n- storage","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-18T00:08:04.000Z","updatedAt":"2024-10-24T15:20:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18134"},{"rel":"revisions","href":"/dashboards/18134/revisions"},{"rel":"revision","href":"/dashboards/18134/revisions/3"},{"rel":"download","href":"/dashboards/18134/revisions/3/download"},{"rel":"org","href":"/orgs/vectorizedcloudpoc"},{"rel":"images","href":"/dashboards/18134/images"},{"rel":"thumbnails","href":"/dashboards/18134/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18136,"status":1,"statusCode":"active","orgId":474105,"orgSlug":"vectorizedcloudpoc","orgName":"Redpanda Data, Inc.","slug":"kafka-consumer-offsets","downloads":7744,"revisionId":34787,"revision":2,"name":"Redpanda Kafka Consumer Offsets","description":"Redpanda Kafka Consumer Offsets","readme":"A dashboard focusing on consumer offsets, with the following charts:\r\n- consumer group offset lag (over time)\r\n- consumer group offset (count)\r\n- partitions (count)\r\n- topic consumption rate by group (count)\r\n- topic production rate by topic\r\n- topic consumption rate by group (over time)\r\n- log end offset\r\n- consumer group offsets","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-18T00:13:34.000Z","updatedAt":"2024-11-14T16:40:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18136"},{"rel":"revisions","href":"/dashboards/18136/revisions"},{"rel":"revision","href":"/dashboards/18136/revisions/2"},{"rel":"download","href":"/dashboards/18136/revisions/2/download"},{"rel":"org","href":"/orgs/vectorizedcloudpoc"},{"rel":"images","href":"/dashboards/18136/images"},{"rel":"thumbnails","href":"/dashboards/18136/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18133,"status":1,"statusCode":"active","orgId":474105,"orgSlug":"vectorizedcloudpoc","orgName":"Redpanda Data, Inc.","slug":"kafka-java-consumer","downloads":1954,"revisionId":34786,"revision":2,"name":"Redpanda Kafka Java Consumer","description":"Kafka Consumer Java client metrics","readme":"This dashboard requires a JMX agent reporting statistics from a Kafka Java consumer into Prometheus.\r\n\r\n⚠️ This dashboard has some sample thresholds, this example is not meant to fit all use cases nor is it meant for production. Think of it as a learning tool to help you become comfortable with the metrics and thresholding.\r\n\r\nThis dashboard focuses on consumers, and it has the following charts:\r\n- commit rate\r\n- average fetch throttle time\r\n- failed auth rate\r\n- rebalance rate per hour\r\n- CPU usage\r\n- JVM memory used\r\n- JVM GC time\r\n- bytes consumed rate\r\n- rate of records consumed\r\n- bytes consumed rate per topic\r\n- rate of records consumed per topic\r\n- fetch request rate\r\n- fetch size average\r\n- fetch latency average\r\n- commit latency average\r\n- commit rate\r\n- current connection count\r\n- node response 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`","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-02T20:12:53.000Z","updatedAt":"2023-04-02T20:18:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18422"},{"rel":"revisions","href":"/dashboards/18422/revisions"},{"rel":"revision","href":"/dashboards/18422/revisions/1"},{"rel":"download","href":"/dashboards/18422/revisions/1/download"},{"rel":"org","href":"/orgs/hetimop"},{"rel":"images","href":"/dashboards/18422/images"},{"rel":"thumbnails","href":"/dashboards/18422/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19540,"status":1,"statusCode":"active","orgId":943080,"orgSlug":"aarc","orgName":"aarc","slug":"remote-dashboard","downloads":262,"revisionId":29976,"revision":1,"name":"Remote 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Process view: (1) Process overview row uses Node Exporter only (processes by state — like htop count). (2) Top 10 Processes (htop-style) tables and graphs need process_exporter (https://github.com/ncabatoff/process-exporter) scraped by Prometheus; set Instance (Process) to your process_exporter instance (e.g. host:9256). After import: select Prometheus datasource; set Job/Node and Instance (DB). References: Node Exporter (node_cpu_seconds_total, node_memory_*, node_processes_state), PostgreSQL exporter (pg_up, pg_stat_database_*), process-exporter (namedprocess_namegroup_*).","readme":"# System & PostgreSQL Monitoring Dashboard\r\n\r\nA Grafana dashboard to monitor **system resources and PostgreSQL performance** in a single view.\r\n\r\n## Features\r\n\r\n- CPU usage monitoring\r\n- Memory usage monitoring\r\n- Disk and filesystem usage\r\n- Network traffic\r\n- Top CPU and memory processes\r\n- PostgreSQL performance metrics\r\n\r\n## Requirements\r\n\r\n- Grafana\r\n- Prometheus\r\n- Node Exporter\r\n- PostgreSQL Exporter\r\n\r\n## Process Exporter Setup\r\n\r\nThis dashboard uses process_exporter to display the Top 10 processes.\r\n\r\nInstall process_exporter and configure it to monitor processes such as:\r\n\r\n- postgres\r\n- grafana\r\n- prometheus\r\n- system services\r\n\r\nRepository: https://github.com/ncabatoff/process-exporter\r\n\r\n## Import Dashboard\r\n\r\n1. 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Upload the JSON file or paste the dashboard ID.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-03-13T07:33:07.000Z","updatedAt":"2026-03-13T07:52:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25001"},{"rel":"revisions","href":"/dashboards/25001/revisions"},{"rel":"revision","href":"/dashboards/25001/revisions/1"},{"rel":"download","href":"/dashboards/25001/revisions/1/download"},{"rel":"org","href":"/orgs/attthurein"},{"rel":"images","href":"/dashboards/25001/images"},{"rel":"thumbnails","href":"/dashboards/25001/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15046,"status":1,"statusCode":"active","orgId":534441,"orgSlug":"poswark","orgName":"poswark","slug":"reporte-gatling-g7","downloads":397,"revisionId":22489,"revision":1,"name":"Reporte Gatling g7","description":"Gatling statistics review\r\n","readme":"https://github.com/Poswark/Gatling-Grafana\r\n\r\nWe verify that the data has been injected into the influxdb database\r\n\r\n [root@gatling ]# docker exec -it  influxdb bash \r\nroot@e0a5814f43cc:/# influx\r\nConnected to http://localhost:8086 version 1.8.10\r\nInfluxDB shell version: 1.8.10\r\n> show databases \r\nname: databases\r\nname\r\n----\r\n_internal\r\ngatlingdb\r\n> use gatlingdb\r\nUsing database gatlingdb\r\n> show series\r\nkey\r\n---\r\ngatling,request=Home,simulation=demostore,status=all\r\ngatling,request=Home,simulation=demostore,status=ko\r\ngatling,request=Home,simulation=demostore,status=ok\r\ngatling,request=allRequests,simulation=demostore,status=all\r\ngatling,request=allRequests,simulation=demostore,status=ko\r\ngatling,request=allRequests,simulation=demostore,status=ok\r\ngatling.users,request=allUsers,simulation=demostore\r\ngatling.users,request=demostore,simulation=demostore\r\n \r\nGrafana dashboard for testing\r\n\r\nAlt text","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-09-24T02:35:13.000Z","updatedAt":"2022-10-22T14:50:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15046"},{"rel":"revisions","href":"/dashboards/15046/revisions"},{"rel":"revision","href":"/dashboards/15046/revisions/1"},{"rel":"download","href":"/dashboards/15046/revisions/1/download"},{"rel":"org","href":"/orgs/poswark"},{"rel":"images","href":"/dashboards/15046/images"},{"rel":"thumbnails","href":"/dashboards/15046/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15659,"status":1,"statusCode":"active","orgId":596331,"orgSlug":"repsoil","orgName":"repsoil","slug":"repsoil-ucam","downloads":270,"revisionId":23643,"revision":1,"name":"REPSOIL-UCAM","description":"REPSOIL - 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Range of response times\n - p95s of Request times across installed components\n - Count and Average Request Time\n\nTo use this dashboard, you must be running the Replex components which include:\n\n- Server\n- Replex Agent\n- Pushgateway\n- PricingAPI\n\nFor more details, check out https://www.replex.io/technology","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-13T12:53:00.000Z","updatedAt":"2021-08-09T15:41:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13401"},{"rel":"revisions","href":"/dashboards/13401/revisions"},{"rel":"revision","href":"/dashboards/13401/revisions/4"},{"rel":"download","href":"/dashboards/13401/revisions/4/download"},{"rel":"org","href":"/orgs/monitoring5"},{"rel":"images","href":"/dashboards/13401/images"},{"rel":"thumbnails","href":"/dashboards/13401/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5963,"status":1,"statusCode":"active","orgId":68583,"orgSlug":"antoniojn","orgName":"antoniojn","slug":"requests","downloads":559,"revisionId":8138,"revision":1,"name":"Requests","description":"Requests Dashboard","readme":"Dashboard for JMeter + InfluxDB + Grafana Integration","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-05-08T05:58:08.000Z","updatedAt":"2018-05-08T06:11:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5963"},{"rel":"revisions","href":"/dashboards/5963/revisions"},{"rel":"revision","href":"/dashboards/5963/revisions/1"},{"rel":"download","href":"/dashboards/5963/revisions/1/download"},{"rel":"org","href":"/orgs/antoniojn"},{"rel":"images","href":"/dashboards/5963/images"},{"rel":"thumbnails","href":"/dashboards/5963/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9831,"status":1,"statusCode":"active","orgId":236114,"orgSlug":"jkschneider","orgName":"jkschneider","slug":"requests-by-foundation","downloads":325,"revisionId":13690,"revision":2,"name":"Requests by foundation","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-02-21T22:26:31.000Z","updatedAt":"2019-02-21T22:34:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9831"},{"rel":"revisions","href":"/dashboards/9831/revisions"},{"rel":"revision","href":"/dashboards/9831/revisions/2"},{"rel":"download","href":"/dashboards/9831/revisions/2/download"},{"rel":"org","href":"/orgs/jkschneider"},{"rel":"images","href":"/dashboards/9831/images"},{"rel":"thumbnails","href":"/dashboards/9831/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13321,"status":1,"statusCode":"active","orgId":432425,"orgSlug":"devtron","orgName":"Devtron Labs","slug":"res-status-per-pod","downloads":71020,"revisionId":23119,"revision":6,"name":"res_status_per_pod","description":"Graph shows http status like 4xx, 5xx, 200, Throughput on Devtron dashboard.\n\nhttps://www.devtron.ai","readme":"This is a part of Devtron config. \nThis Graph shows http status like 4xx, 5xx, 200, Throughput on Devtron dashboard.\n\nhttps://www.devtron.ai","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2020-11-02T09:11:33.000Z","updatedAt":"2021-12-08T07:14:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13321"},{"rel":"revisions","href":"/dashboards/13321/revisions"},{"rel":"revision","href":"/dashboards/13321/revisions/6"},{"rel":"download","href":"/dashboards/13321/revisions/6/download"},{"rel":"org","href":"/orgs/devtron"},{"rel":"images","href":"/dashboards/13321/images"},{"rel":"thumbnails","href":"/dashboards/13321/thumbnails"}]},{"id":24131,"status":1,"statusCode":"active","orgId":1504125,"orgSlug":"nikitamishagin","orgName":"nikitamishagin","slug":"resource-efficiency","downloads":636,"revisionId":39654,"revision":4,"name":"Resource efficiency","description":"This dashboard shows how efficiently requested resources are used in a Kubernetes cluster.","readme":"Resource Efficiency Dashboard is a Grafana dashboard designed to monitor resource utilization efficiency in Kubernetes clusters. The dashboard visualizes the relationship between requested and actually used resources (CPU and RAM) for containers, which allows optimizing resource allocation and reducing infrastructure costs.\r\n\r\nSee my project on [github](https://github.com/nikitamishagin/resource-efficiency-dashboard).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-09-21T17:29:46.000Z","updatedAt":"2026-01-24T14:12:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24131"},{"rel":"revisions","href":"/dashboards/24131/revisions"},{"rel":"revision","href":"/dashboards/24131/revisions/4"},{"rel":"download","href":"/dashboards/24131/revisions/4/download"},{"rel":"org","href":"/orgs/nikitamishagin"},{"rel":"images","href":"/dashboards/24131/images"},{"rel":"thumbnails","href":"/dashboards/24131/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11458,"status":1,"statusCode":"active","orgId":59972,"orgSlug":"fadjar340","orgName":"Fadjar Tandabawana","slug":"resource-failover","downloads":595,"revisionId":16131,"revision":1,"name":"Resource Failover Pacemaker","description":"Pacemaker, corosync, DRBD, Postgresql and VIP resource failover monitoring","readme":"**Pacemaker, Corosync, DRBD, Postgresql for High Availability Failover Monitoring**\n\nShow the latest posisition of the last primary using pacemaker engine (pengine) from Filebeat and Heartbeat for Availability of the servers.\nUsing Elasticsearch 7.5.0 and Grafana 6.5.2","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2019-12-22T09:16:14.000Z","updatedAt":"2019-12-22T09:20:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11458"},{"rel":"revisions","href":"/dashboards/11458/revisions"},{"rel":"revision","href":"/dashboards/11458/revisions/1"},{"rel":"download","href":"/dashboards/11458/revisions/1/download"},{"rel":"org","href":"/orgs/fadjar340"},{"rel":"images","href":"/dashboards/11458/images"},{"rel":"thumbnails","href":"/dashboards/11458/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":20250,"status":1,"statusCode":"active","orgId":262655,"orgSlug":"webmaster1989","orgName":"webmaster1989","slug":"response-ping-dns-tests","downloads":2297,"revisionId":40438,"revision":5,"name":"Response, Ping & DNS Tests","description":"Dashboard giving you an overview of the HTTP responses, ping results and DNS queries.","readme":"A powerful yet simple dashboard giving you insides into HTTP Response times, Ping latency and DNS status information. \r\n\r\nData is collected via Telegraf and inserted into InfluxDB (v1). The collected HTTP Requests, ping tests and DNS query results can then be visualized into a single dashboard. See configuration snippet below for the Telegraf configuration (`/etc/telegraf/telegraf.conf`). ","collectorType":"Telegraf","collectorConfig":"Telegraf snippet configuration (example):\r\n\r\n```\r\n[[inputs.http_response]]\r\n    urls = [\"https://google.com\", \"https://yahoo.com\"]\r\n    response_timeout = \"10s\"\r\n\r\n[[inputs.ping]]\r\n    urls = [\"google.com\", \"yahoo.com\", \"1.1.1.1\", \"8.8.8.8\"]\r\n    count = 3\r\n    ping_interval = 5.0\r\n\r\n[[inputs.dns_query]]\r\n    servers = [\"8.8.8.8\", \"1.1.1.1\"]\r\n```\r\n","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-01-05T21:38:08.000Z","updatedAt":"2026-04-10T20:43:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20250"},{"rel":"revisions","href":"/dashboards/20250/revisions"},{"rel":"revision","href":"/dashboards/20250/revisions/5"},{"rel":"download","href":"/dashboards/20250/revisions/5/download"},{"rel":"org","href":"/orgs/webmaster1989"},{"rel":"images","href":"/dashboards/20250/images"},{"rel":"thumbnails","href":"/dashboards/20250/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21051,"status":1,"statusCode":"active","orgId":1121036,"orgSlug":"nandakishoren","orgName":"nandakishoren","slug":"ressource-usage","downloads":270,"revisionId":32716,"revision":1,"name":"Ressource Usage","description":"Ressource Usage","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-05-09T21:12:50.000Z","updatedAt":"2024-05-09T21:13:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21051"},{"rel":"revisions","href":"/dashboards/21051/revisions"},{"rel":"revision","href":"/dashboards/21051/revisions/1"},{"rel":"download","href":"/dashboards/21051/revisions/1/download"},{"rel":"org","href":"/orgs/nandakishoren"},{"rel":"images","href":"/dashboards/21051/images"},{"rel":"thumbnails","href":"/dashboards/21051/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21152,"status":1,"statusCode":"active","orgId":1065894,"orgSlug":"dxloop","orgName":"dxloop","slug":"rest-quickstat","downloads":168,"revisionId":32920,"revision":1,"name":"REST Quickstat","description":"Seamless integration with Node.js REST instances, allowing effortless monitoring of key metrics for express.js, fastify etc.","readme":"# REST Monitoring Plugin\r\n\r\nThe QuickStat REST Plugin offers seamless integration with REST instances, allowing effortless monitoring of key metrics. It exports these metrics to Prometheus, enabling visualization in Grafana dashboards.\r\n\r\nIf you are new to QuickStat and its component, feel free to check the [official documentation](https://www.npmjs.com/package/@quickstat/core) for a detailed breakdown.\r\n\r\n![](../../../examples/plugins/rest/assets/rest_grafana_overview.png)\r\n![](../../../examples/plugins/rest/assets/rest_grafana_distribution.png)\r\n\r\n**If one of the following frameworks is being used, the dedicated plugins should be used instead of the REST plugin:**\r\n\r\n- [Express.js Plugin](https://npmjs.com/package/@quickstat/expressjs)\r\n- [Fastify Plugin](https://npmjs.com/package/@quickstat/fastify)\r\n- [Koa Plugin](https://npmjs.com/package/@quickstat/koa)\r\n\r\n## Installation\r\n\r\nStart by installing the QuickStat core package, the data source used by grafana and then the REST plugin:\r\n\r\n```bash\r\nnpm install @quickstat/core\r\nnpm install @quickstat/prometheus\r\nnpm install @quickstat/rest\r\n```\r\n\r\n## Getting Started\r\n\r\nIf you use docker and want to get started quickly, you can check the [following docker-setup](https://github.com/QuickStat/quickstat/tree/master/examples/plugins/rest), which allows you to skip the setup and directly use the plugin. Once you have setup docker, continue on Step 3.\r\n\r\nIf your unfamiliar with [QuickStat's plugins](https://github.com/QuickStat/quickstat/tree/master?tab=readme-ov-file#plugins), then keep in mind that you can also use other strategies such as (PushGateway) for exposing metrics or even combine your dashboard with other plugins.\r\n\r\nIf you want to set up Prometheus and Grafana manually, follow the steps below:\r\n\r\n### 1. Setup Prometheus and Grafana\r\n\r\n1. **Install Prometheus**: Follow the [official documentation](https://prometheus.io/docs/prometheus/latest/installation/) to install Prometheus on your system.\r\n\r\n2. **Install Grafana**: Refer to the [official documentation](https://grafana.com/docs/grafana/latest/installation/) for instructions on installing Grafana.\r\n\r\n3. **Configure Prometheus Data Source in Grafana**: After installing Grafana, configure Prometheus as a data source. Go to Grafana settings, add a new data source, and specify the URL where Prometheus is running.\r\n\r\n### 2. Import Dashboard to Grafana\r\n\r\nOnce Prometheus and Grafana are set up, you can add [following Dashboard](https://grafana.com/grafana/dashboards/21152). Navigate to the Grafana dashboard page, click on \"Import\" and paste the dashboard template URL. Then, customize the dashboard as needed.\r\n\r\n### 3. Expose REST Metrics\r\n\r\nTo expose the metrics to prometheus using the QuickStat REST Plugin, use the following code snippet:\r\n\r\n```typescript\r\nimport { Client as QuickStatClient } from '@quickstat/core'\r\nimport { Pm2Plugin } from '@quickstat/pm2'\r\nimport { PrometheusDataSource, ScrapeStrategy } from '@quickstat/prometheus'\r\nimport pm2 from 'pm2' // uses the pm2 to get the metrics\r\nimport http from 'http'\r\n\r\n// Create QuickStat Client\r\nconst quickStatClient = new QuickStatClient()<PrometheusDataSource<ScrapeStrategy>>({\r\n  metrics: [],\r\n  plugins: [\r\n    // Register REST Plugin\r\n    new RestPlugin(),\r\n  ],\r\n  // Register the data source\r\n  dataSource: new PrometheusDataSource({\r\n    strategy: new ScrapeStrategy(),\r\n  }),\r\n})\r\n\r\n// [...] Observation logic\r\n\r\n// Let Prometheus scrape the metrics at http://localhost:3242\r\n// WARNING: On production, properly secure the endpoint (if open)\r\nhttp.createServer(async (req, res) => {\r\n  const response = await quickStatClient.dataSource?.strategy?.getResponse()\r\n\r\n  // Write the prometheus response file\r\n  if (response) {\r\n    res.writeHead(200, response.headers)\r\n    res.end(response.file)\r\n  }\r\n}).listen(3242)\r\n```\r\n\r\n### 4. Add Observation Logic\r\n\r\n**If your REST framework is supported by the plugin, you should follow the framework guide for the plugin instead:**\r\n\r\n- [Express Plugin](https://npmjs.com/package/@quickstat/expressjs)\r\n- [Fastify Plugin](https://npmjs.com/package/@quickstat/fastify)\r\n- [Koa Plugin](https://npmjs.com/package/@quickstat/koa)\r\n\r\nPlease refer to the respective documentation for more information.\r\n\r\nIf you want to observe the REST requests and the REST framework you are using does not has a dedicated plugin, you can use the `RestRequestObserver` to observe the requests. The following example shows how to observe a request in an express-like application:\r\n\r\n```typescript\r\n// [...]\r\napp.get('/users/:id/todos', (req, res) => {\r\n  const observer = new RestRequestObserver(quickStatClient) // Create a new request observer\r\n  // [...] Your business logic\r\n  observer.end(getObservationData(req, res)) // End the request observer and save observation data\r\n})\r\n\r\n// Function to get the observation data from the request\r\nfunction getObservationData(req: Request, res: Response): ObserveRestRequestOptions {\r\n  return {\r\n    method: req.method as ObserveRestRequestOptions['method'],\r\n    path: req.route.path, // get the path with variables\r\n    status: res.statusCode,\r\n    size: {\r\n      request: req.socket.bytesRead,\r\n      response: req.socket.bytesWritten,\r\n    },\r\n  }\r\n}\r\n```\r\n\r\n### 5. Start the Application\r\n\r\nAfter setting up the code, start the application. The metrics will be available at `http://localhost:3242` in Prometheus format and will be scraped by Prometheus, which will then be used for visualization in Grafana.\r\n\r\n## Configuration\r\n\r\n### DataSource\r\n\r\nThe example above uses the PrometheusDataSource with the ScrapeStrategy. The ScrapeStrategy exposes the prometheus file on the given endpoint for being scraped from prometheus. You can also use the PushGatewayStrategy to push the metrics to the PushGateway of Prometheus.\r\n\r\nIf you would like to use other data sources, you can take a look at the available data sources in the [@quickstat/core](https://github.com/QuickStat/quickstat?tab=readme-ov-file#data-sources) package.\r\n\r\n### Plugin\r\n\r\n| Option         | Description                 | Default |\r\n| -------------- | --------------------------- | ------- |\r\n| excludeMetrics | Array of metrics to exclude | []      |\r\n\r\n## Contributing and Issues\r\n\r\nIf you have any issues or feature requests, feel free to open an issue on the [GitHub repository](https://github.com/QuickStat/quickstat)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-05-28T19:19:01.000Z","updatedAt":"2025-09-22T08:23:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21152"},{"rel":"revisions","href":"/dashboards/21152/revisions"},{"rel":"revision","href":"/dashboards/21152/revisions/1"},{"rel":"download","href":"/dashboards/21152/revisions/1/download"},{"rel":"org","href":"/orgs/dxloop"},{"rel":"images","href":"/dashboards/21152/images"},{"rel":"thumbnails","href":"/dashboards/21152/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24869,"status":1,"statusCode":"active","orgId":1668478,"orgSlug":"avilagas","orgName":"avilagas","slug":"restate-exported","downloads":11,"revisionId":39910,"revision":1,"name":"Restate Usage Monitor","description":"Getting started with restate monitoring","readme":"# Restate Monitoring\r\n\r\nA monitoring chart for prometheus data exported by restate\r\n- Invoker available slots\r\n- Ingress Invoker Enqueue Total\r\n- Ingress Invoker Task Duration\r\n- Ingress Request Duration\r\n- Ingress Request Total Rate\r\n- Invoker Invocation Tasks Total\r\n\r\n# Usage Monitoring\r\n- Last 7 days actions/second\r\n- Peak 1-minute burst over last 7 days\r\n- Peak 5-minute burst over last 7 days\r\n- Total actions over period\r\n- Total actions timeseries\r\n- Comand call Rate timeseries\r\n- Command call by entry timeseries\r\n\r\nFeedback is very welcome. Check queries.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-02-13T15:10:21.000Z","updatedAt":"2026-02-16T15:17:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24869"},{"rel":"revisions","href":"/dashboards/24869/revisions"},{"rel":"revision","href":"/dashboards/24869/revisions/1"},{"rel":"download","href":"/dashboards/24869/revisions/1/download"},{"rel":"org","href":"/orgs/avilagas"},{"rel":"images","href":"/dashboards/24869/images"},{"rel":"thumbnails","href":"/dashboards/24869/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24748,"status":1,"statusCode":"active","orgId":1056378,"orgSlug":"restate","orgName":"restate","slug":"restate-internals","downloads":91,"revisionId":39679,"revision":1,"name":"Restate: Internals","description":"Deep dive into Restate Server components for troubleshooting and performance analysis","readme":"Official deep-dive monitoring dashboard for [Restate](https://restate.dev) - the platform for building resilient applications with durable execution.\r\n\r\n## Overview\r\n\r\nThis dashboard provides detailed visibility into Restate Server internals for troubleshooting and performance analysis. Use it alongside the **Restate: Overview** dashboard to drill down into specific subsystems.\r\n\r\n## Sections\r\n\r\n- **Errors & Diagnostics** - Error rates, errors by node and partition, task status comparison\r\n- **Ingress (HTTP & Kafka)** - Request rates by service, latency percentiles, status breakdown, Kafka consumer lag\r\n- **Invoker (Detailed)** - Task rates by status, task duration percentiles, invoker capacity per node\r\n- **Bifrost - Log System** - Sequencer append rates and latency, store latency by target node, record cache hit rate\r\n- **Partition Processor** - Command processing rate by type, command latency (P99), applied LSN lag\r\n- **RocksDB** - Read/write ops, get/write latencies, block cache hit/miss, compaction activity, LSM tree structure, write stalls\r\n- **Metadata Server** - Get/put operations, latencies, Raft replication status\r\n\r\n## Requirements\r\n\r\n- Restate Server exposing metrics on `/metrics` (default port 5122)\r\n- Prometheus scraping Restate metrics\r\n\r\n## Related Dashboard\r\n\r\nFor high-level cluster health monitoring, use the companion **Restate: Overview** dashboard.\r\n\r\n## Links\r\n\r\n- [Restate Website](https://restate.dev)\r\n- [Documentation](https://docs.restate.dev)\r\n- [GitHub](https://github.com/restatedev/restate)\r\n- [Discord Community](https://discord.gg/skW3AZ6uGd)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-01-27T13:59:45.000Z","updatedAt":"2026-01-29T16:21:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24748"},{"rel":"revisions","href":"/dashboards/24748/revisions"},{"rel":"revision","href":"/dashboards/24748/revisions/1"},{"rel":"download","href":"/dashboards/24748/revisions/1/download"},{"rel":"org","href":"/orgs/restate"},{"rel":"images","href":"/dashboards/24748/images"},{"rel":"thumbnails","href":"/dashboards/24748/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24747,"status":1,"statusCode":"active","orgId":1056378,"orgSlug":"restate","orgName":"restate","slug":"restate-overview","downloads":111,"revisionId":39678,"revision":1,"name":"Restate: Overview","description":"High-level cluster health and performance monitoring for Restate Server","readme":"Official monitoring dashboard for [Restate](https://restate.dev) - the platform for building resilient applications with durable execution.\r\n\r\n## Overview\r\n\r\nThis dashboard provides high-level cluster health and performance monitoring for Restate Server deployments. It's designed for both single-node and multi-node clusters, with per-node breakdowns to quickly identify issues.\r\n\r\n## Sections\r\n\r\n- **Cluster Health & Errors** - Node count, partition status, leader distribution, and error rates\r\n- **Partition Distribution** - Leaders and followers per node, partition role changes over time\r\n- **Resources & Memory** - JEMalloc resident memory, RocksDB write buffer usage, storage size, and cache hit rate\r\n- **Ingress Traffic** - HTTP request rate by service, P99 latency per node, Kafka consumer metrics\r\n- **Processing Pipeline** - Invoker task throughput, error breakdown, partition commands, Bifrost log I/O\r\n\r\n## Requirements\r\n\r\n- Restate Server exposing metrics on `/metrics` (default port 5122)\r\n- Prometheus scraping Restate metrics\r\n\r\n## Related Dashboard\r\n\r\nFor deep-dive troubleshooting, use the companion **Restate: Internals** dashboard which covers Bifrost, RocksDB, Partition Processor, and Metadata Server internals in detail.\r\n\r\n## Links\r\n\r\n- [Restate Website](https://restate.dev)\r\n- [Documentation](https://docs.restate.dev)\r\n- [GitHub](https://github.com/restatedev/restate)\r\n- [Discord Community](https://discord.gg/skW3AZ6uGd)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-01-27T13:48:23.000Z","updatedAt":"2026-01-27T13:58:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24747"},{"rel":"revisions","href":"/dashboards/24747/revisions"},{"rel":"revision","href":"/dashboards/24747/revisions/1"},{"rel":"download","href":"/dashboards/24747/revisions/1/download"},{"rel":"org","href":"/orgs/restate"},{"rel":"images","href":"/dashboards/24747/images"},{"rel":"thumbnails","href":"/dashboards/24747/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20848,"status":1,"statusCode":"active","orgId":1094233,"orgSlug":"helge3","orgName":"helge","slug":"restic-backup","downloads":317,"revisionId":32302,"revision":1,"name":"Restic Backup","description":"A dashboard to monitor restic/resticprofile backup operations.","readme":"The dashboard queries restic logs stored in Loki. 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using Grafana","collectorType":"collectd","collectorConfig":"```\r\n<LoadPlugin cpu>\r\n  Globals false\r\n</LoadPlugin>\r\n\r\n<Plugin cpu>\r\n  ReportByState true\r\n  ReportByCpu true\r\n  ValuesPercentage true\r\n  ReportNumCpu false\r\n</Plugin>\r\n\r\n<LoadPlugin interface>\r\n  Globals false\r\n</LoadPlugin>\r\n\r\n<Plugin interface>\r\n  IgnoreSelected false\r\n  ReportInactive true\r\n</Plugin>\r\n\r\n<LoadPlugin memory>\r\n  Globals false\r\n</LoadPlugin>\r\n\r\n<Plugin memory>\r\n  ValuesAbsolute true\r\n  ValuesPercentage false\r\n</Plugin>\r\n\r\n<LoadPlugin network>\r\n  Globals false\r\n</LoadPlugin>\r\n\r\n<Plugin network>\r\n\r\n</Plugin>\r\n\r\n<LoadPlugin processes>\r\n  Globals false\r\n</LoadPlugin>\r\n\r\n<Plugin \"processes\">\r\n\r\nProcessMatch \"nova-scheduler\" \".*python2.+nova-scheduler\"\r\nProcessMatch \"nova-consoleauth\" \".*python2.+nova-consoleauth\"\r\nProcessMatch \"nova-novncproxy\" \".*python2.+nova-novncproxy.*\"\r\nProcessMatch \"nova-conductor\" \".*python2.+nova-conductor\"\r\nProcessMatch \"nova-compute\" \".*python2.+nova-compute.*\"\r\nProcessMatch \"neutron-server\" \".*python2.+neutron-server.*\"\r\nProcessMatch \"neutron-openvswitch-agent\" \".*python2.+neutron-openvswitch-agent.*\"\r\nProcessMatch \"neutron-metadata-agent\" \".*python2.+neutron-metadata-agent.*\"\r\nProcessMatch \"neutron-dhcp-agent\" \".*python2.+neutron-dhcp-agent.*\"\r\nProcessMatch \"neutron-lbaasv2-agent\" \".*python2.+neutron-lbaasv2-agent.*\"\r\nProcessMatch \"cinder-volume\" \".*python2.+cinder-volume.*\"\r\nProcessMatch \"cinder-backup\" \".*python2.+cinder-backup.*\"\r\nProcessMatch \"cinder-scheduler\" \".*python2.+cinder-scheduler.*\"\r\nProcessMatch \"glance-api\" \".*python2.+glance-api.*\"\r\nProcessMatch \"keystone\" \"keystone-.*\"\r\nProcessMatch \"gnocchi_wsgi\" \"gnocchi_wsgi.*\"\r\nProcessMatch \"gnocchi-metricd\" \"gnocchi-metricd.*\"\r\nProcessMatch \"gnocchi-statsd\" \".*python2.+gnocchi-statsd\"\r\nProcessMatch \"heat-engine \".*python2.+heat-engine.*\"\r\nProcessMatch \"heat-api\" \"heat_api_wsgi.*\"\r\n\r\n</Plugin>\r\n\r\n<LoadPlugin uptime>\r\n  Globals false\r\n</LoadPlugin>\r\n\r\n<LoadPlugin users>\r\n  Globals false\r\n</LoadPlugin>\r\n\r\n<LoadPlugin load>\r\n  Globals false\r\n</LoadPlugin>\r\n\r\n<Plugin load>\r\n  ReportRelative false\r\n</Plugin>\r\n```","collectorPluginList":"Memory plugin, Network plugin, Interface plugin, Processes plugin, Uptime plugin, Load plugin, CPU 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Please go through the following link to see how to parse the test results to MySQL DB - [CQE - Robot Framework Grafana Dashboard](https://cognitiveqe.com/robot-framework-test-results-grafana/)                                                                \r\n\r\nIn case if you would like to use PostgreSQL DB, please refer the following step by step guide [CQE - Robot Framework Grafana Dashboard - PostgreSQL](https://cognitiveqe.com/robot-framework-test-results-in-grafana-postgresql/) \r\n\r\nMetrics Covered By Robot Framework Grafana Dashboard :\r\n- Execution Status - Latest\r\n- Total Executions - Over Time Period\r\n- Average Pass and Failure Percentage\r\n- Top 5 Failed Test Cases\r\n- All Execution Status Over Time Period\r\n- Average Execution Time\r\n- Execution Trend Graph \r\n\r\n![alt text](https://cognitiveqe.com/wp-content/uploads/2019/12/Robot_Framework_Granfana_Dashboard_Final.png)\r\n\r\n![alt text](https://cognitiveqe.com/wp-content/uploads/2019/12/Robot-Framework-Grafana-Dashboard-V1.0.png)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2020-01-10T08:10:34.000Z","updatedAt":"2020-08-25T01:22:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11541"},{"rel":"revisions","href":"/dashboards/11541/revisions"},{"rel":"revision","href":"/dashboards/11541/revisions/1"},{"rel":"download","href":"/dashboards/11541/revisions/1/download"},{"rel":"org","href":"/orgs/sridharvpmca"},{"rel":"images","href":"/dashboards/11541/images"},{"rel":"thumbnails","href":"/dashboards/11541/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":12728,"status":1,"statusCode":"active","orgId":328632,"orgSlug":"sridharvpmca","orgName":"Sridhar VP","slug":"robot-framework-grafana-dashboard-postgresql","downloads":1395,"revisionId":18321,"revision":1,"name":"Robot Framework Grafana Dashboard - PostgreSQL","description":"Robot Framework Test Results Grafana Dashboard in PostgreSQL","readme":"Robot Framework Test Results are parsed and stored in PostgreSQL DB. 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monitoring","readme":"S.M.A.R.T Dashboard host mashine.\r\ngrafana->graphite->collectd","collectorType":"collectd","collectorConfig":"#/etc/collectd/collectd.conf\r\n```\r\nFQDNLookup false\r\n\r\nTypesDB \"/usr/share/collectd/types.db\" \"/etc/collectd/types.db\"\r\n\r\nInterval 60\r\nLoadPlugin write_graphite\r\n<Plugin write_graphite>\r\n\t<Node \"<node>\">\r\n\t\tHost \"<host>\"\r\n\t\tPort \"<port>\"\r\n\t\tProtocol \"tcp\"\r\n\t\tLogSendErrors true\r\n\t\tPrefix \"<prefix>.\"\r\n\t\tPostfix \"\"\r\n\t\tStoreRates false\r\n\t\tAlwaysAppendDS false\r\n\t\tEscapeCharacter \"_\"\r\n\t</Node>\r\n</Plugin>\r\n\r\nLoadPlugin syslog\r\n<Plugin syslog>\r\n        LogLevel info\r\n</Plugin>\r\n\r\nLoadPlugin python\r\n<Plugin python>\r\n\tModulePath \"/opt/collectd/python\"\r\n\r\n\tImport \"smart\"\r\n\t<Module smart>\r\n#\t\tVerbose true\r\n\t\tInterval 28800\r\n\t</Module>\r\n</Plugin>\r\n```\r\n\r\n#/opt/collectd/python/smart.py\r\n```\r\n---\r\nimport os\r\nimport collectd\r\n\r\nclass Smart(object):\r\n\r\n    def __init__(self):\r\n        self.plugin_name = 'smart'\r\n        self.verbose_logging = False\r\n        self.smartctl = '/usr/sbin/smartctl'\r\n        self.interval = 28800\r\n        self.devices = []\r\n\r\n    def log_verbose(self, msg):\r\n        if not self.verbose_logging:\r\n            return\r\n        collectd.info('%s plugin [verbose]: %s' % (self.plugin_name, msg))\r\n\r\n    def store(self, key, val):\r\n        val = collectd.Values(type='gauge', plugin=self.plugin_name, type_instance=key, values=[val])\r\n        val.dispatch()\r\n        self.log_verbose('Sending value: %s:%s' % (key, val))\r\n\r\n    def getsmart_sas(self, cmd):\r\n        self.log_verbose(\"cmd: %s\" % cmd)\r\n        key = []\r\n        ret = {}\r\n        ptr = os.popen(cmd, 'r')\r\n        while 1:\r\n            line = ptr.readline()\r\n            if not line:\r\n                break\r\n            arr = line.split()\r\n            if len(arr) > 12:\r\n                sss = ' '.join(arr[0:12])\r\n                if sss == 'Number of read and write commands whose size <= segment size =':\r\n                    ret['commands_above_seg_size'] = arr[12]\r\n                elif sss == 'Number of read and write commands whose size > segment size =':\r\n                    ret['commands_less_seg_size'] = arr[12]\r\n            elif len(arr) > 9:\r\n                sss = ' '.join(arr[0:9])\r\n                if sss == 'Blocks read from cache and sent to initiator =':\r\n                    ret['blocks_read_from_cache_and_sent_to_initiator'] = arr[9]\r\n            elif len(arr) > 8:\r\n                sss = ' '.join(arr[0:9])\r\n                if sss == 'fast | delayed rewrites corrected invocations [10^9 bytes] errors':\r\n                    line = ptr.readline()\r\n                    if not line:\r\n                        break\r\n                    arr = line.split()\r\n                    if len(arr) > 7 and arr[0] == 'read:':\r\n                        ret['read_corrected_errors'] = arr[4]\r\n                        ret['read_gb_processed'] = arr[6]\r\n                        ret['read_uncorrected_errors'] = arr[7]\r\n                    line = ptr.readline()\r\n                    if not line:\r\n                        break\r\n                    arr = line.split()\r\n                    if len(arr) > 7 and arr[0] == 'write:':\r\n                        ret['write_corrected_errors'] = arr[4]\r\n                        ret['write_gb_processed'] = arr[6]\r\n                        ret['write_uncorrected_errors'] = arr[7]\r\n                    line = ptr.readline()\r\n                    if not line:\r\n                        break\r\n                    arr = line.split()\r\n                    if len(arr) > 7 and arr[0] == 'verify:':\r\n                        ret['verify_corrected_errors'] = arr[4]\r\n                        ret['verify_gb_processed'] = arr[6]\r\n                        ret['verify_uncorrected_errors'] = arr[7]\r\n            elif len(arr) > 5:\r\n                sss = ' '.join(arr[0:5])\r\n                if sss == 'number of hours powered up':\r\n                    ret['power_on_hours'] = arr[6]\r\n                elif sss == 'Elements in grown defect list:':\r\n                    ret['grow_defect_list'] = arr[5]\r\n                elif sss == 'Blocks sent to initiator =':\r\n                    ret['blocks_sent_to_initiator'] = arr[5]\r\n                elif sss == 'Blocks received from initiator =':\r\n                    ret['blocks_received_from_initiator'] = arr[5]\r\n                elif sss == 'Accumulated power on time, hours:minutes':\r\n                    ret['power_on_hours'] = arr[5].split(':')[0]\r\n            elif len(arr) > 3:\r\n                sss = ' '.join(arr[0:3])\r\n                if sss == 'Non-medium error count:':\r\n                    ret['non_medium_error_count'] = arr[3]\r\n                elif sss == 'Current Drive Temperature:':\r\n                    ret['temperature_celsius'] = arr[3]\r\n                elif sss == 'Accumulated start-stop cycles:':\r\n                    ret['start_stop_cycles'] = arr[3]\r\n                elif sss == 'Accumulated load-unload cycles:':\r\n                    ret['load_unload_cycles'] = arr[3]\r\n            elif len(arr) > 1:\r\n                if arr[0] == 'Vendor:':\r\n                    key.append('_'.join(arr[1:]))\r\n                elif arr[0] == 'Product:':\r\n                    key.append('_'.join(arr[1:]))\r\n                elif arr[0] == 'Serial' and arr[1] == 'number:':\r\n                    key.append('_'.join(arr[2:]))\r\n        return ('_'.join(key).replace('.', '_').replace('(', '').replace(')', ''), ret)\r\n\r\n    def getsmart_sata(self, cmd):\r\n        self.log_verbose(\"cmd: %s\" % cmd)\r\n        key = []\r\n        ret = {}\r\n        ptr = os.popen(cmd, 'r')\r\n        while 1:\r\n            line = ptr.readline()\r\n            if not line:\r\n                break\r\n            arr = line.split()\r\n            if len(arr) > 9:\r\n                name = arr[1]\r\n                val = arr[3]\r\n                raw = arr[9]\r\n                if   name == 'Raw_Read_Error_Rate':\r\n                    ret['raw_read_error_rate'] = raw[1+raw.find('/'):] if '/' in raw else raw\r\n                elif name == 'Reallocated_Sector_Ct':\r\n                    ret['reallocated_event_count'] = raw\r\n                elif name == 'Power_On_Hours_and_Msec':\r\n                    ret['power_on_hours'] = raw[0:raw.find('h')]\r\n                elif name == 'Power_On_Hours':\r\n                    ret['power_on_hours'] = raw\r\n                elif name == 'Power_Cycle_Count':\r\n                    ret['power_cycle_count'] = raw\r\n                elif name == 'Runtime_Bad_Block':\r\n                    ret['runtime_bad_block'] = raw\r\n                elif name == 'Temperature_Celsius':\r\n                    ret['temperature_celsius'] = raw[0:raw.find(' ')] if ' ' in raw else raw\r\n                elif name == 'Hardware_ECC_Recovered':\r\n                    ret['hardware_ecc_recovered'] = raw\r\n                elif name == 'Offline_Uncorrectable':\r\n                    ret['offline_uncorrectable'] = raw\r\n                elif name == 'UDMA_CRC_Error_Count':\r\n                    ret['udma_crc_error_count'] = raw\r\n                elif name == 'Read_Soft_Error_Rate':\r\n                    ret['read_soft_error_rate'] = raw\r\n                elif name == 'Used_Rsvd_Blk_Cnt_Tot':\r\n                    ret['used_rsvd_blk_tot'] = raw\r\n                elif name == 'Unused_Rsvd_Blk_Cnt_Tot':\r\n                    ret['unused_rsvd_blk_tot'] = raw\r\n                elif name == 'Media_Wearout_Indicator':\r\n                    ret['ssd_life_left'] = val\r\n                elif name == 'Life_Curve_Status':\r\n                    ret['ssd_life_left'] = val\r\n                elif name == 'SSD_Life_Left':\r\n                    ret['ssd_life_left'] = val\r\n                elif name == 'Start_Stop_Count':\r\n                    ret['start_stop_count'] = raw\r\n                elif name == 'Seek_Error_Rate':\r\n                    ret['seek_error_rate'] = raw\r\n                elif name == 'Reported_Uncorrect':\r\n                    ret['reported_uncorrect'] = raw\r\n                elif name == 'Command_Timeout':\r\n                    ret['command_timeout'] = raw\r\n                elif name == 'G-Sense_Error_Rate':\r\n                    ret['g-sense_error_rate'] = raw\r\n                elif name == 'Load_Cycle_Count':\r\n                    ret['load_cycle_count'] = raw\r\n                elif name == 'Reallocated_Event_Count':\r\n                    ret['reallocated_event_count'] = raw\r\n                elif name == 'Current_Pending_Sector':\r\n                    ret['current_pending_sector'] = raw\r\n                elif name == 'Total_LBAs_Written':\r\n                    # 512b(lba) -> 1Gb\r\n                    ret['total_writes_gib'] = str(int(raw)/2097152)\r\n                elif name == 'Total_LBAs_Read':\r\n                    # 512b(lba) -> 1Gb\r\n                    ret['total_reads_gib'] = str(int(raw)/2097152)\r\n                elif name == 'Host_Writes_32MiB':\r\n                    # 32Mb -> 1Gb\r\n                    ret['total_writes_gib'] = str(int(raw)/32)\r\n                elif name == 'Host_Reads_32MiB':\r\n                    # 32Mb -> 1Gb\r\n                    ret['total_reads_gib'] = str(int(raw)/32)\r\n                elif name == 'Lifetime_Writes_GiB':\r\n                    ret['total_writes_gib'] = raw\r\n                elif name == 'Lifetime_Reads_GiB':\r\n                    ret['total_reads_gib'] = raw\r\n            elif len(arr) > 2:\r\n                if arr[0] == 'Model' and arr[1] == 'Family:':\r\n                    key.append('_'.join(arr[2:]).split('/')[0])\r\n                elif arr[0] == 'Device' and arr[1] == 'Model:':\r\n                    key.append('_'.join(arr[2:]))\r\n                elif arr[0] == 'Serial' and arr[1] == 'Number:':\r\n                    key.append('_'.join(arr[2:]))\r\n        return ('_'.join(key).replace('.', '_').replace('(', '').replace(')', ''), ret)\r\n\r\n    def read(self):\r\n        ret = {}\r\n        cmd = '%s --scan-open' % self.smartctl\r\n        devices = []\r\n        self.log_verbose('Scanning devices: %s' % cmd)\r\n        ptr = os.popen(cmd, 'r')\r\n        while 1:\r\n            line = ptr.readline()\r\n            if not line:\r\n                break\r\n            devices.append(line)\r\n        for line in self.devices + devices:\r\n            self.log_verbose('Get device info: %s' % line)\r\n            arr = line.split()\r\n            if len(arr) > 3 and arr[-1] == 'device' and arr[0] != '#' and arr[1] == '-d':\r\n                # SCSI template: <DEV> -d <PARAM> ... SCSI device\r\n                # /dev/bus/0 -d megaraid,3 # /dev/bus/0 [megaraid_disk_03], SCSI device\r\n                if arr[-2] == 'SCSI':\r\n                    cmd = '%s -a -l background -d %s %s' % (self.smartctl, arr[2], arr[0])\r\n                    (key, values) = self.getsmart_sas(cmd)\r\n                    self.save(key, values)\r\n                # SATA, ACHI and OTHER template: <DEV> -d <PARAM> ... ATA device\r\n                # /dev/bus/0 -d sat+megaraid,14 # /dev/bus/0 [megaraid_disk_14] [SAT], ATA device\r\n                # /dev/sdg -d sat # /dev/sdg [SAT], ATA device\r\n                elif arr[-2] == 'ATA':\r\n                    cmd = '%s -iA -d %s %s' % (self.smartctl, arr[2], arr[0])\r\n                    (key, values) = self.getsmart_sata(cmd)\r\n                    self.save(key, values)\r\n                else:\r\n                    raise ValueError('%s plugin: Unknown Device: %s' % (self.plugin_name, arr))\r\n        return ret\r\n\r\n    def save(self, key, values):\r\n        for name, value in values.items():\r\n            self.store('%s__%s' % (key, name), value)\r\n\r\n    def configure_callback(self, conf):\r\n        for node in conf.children:\r\n            vals = [str(v) for v in node.values]\r\n            if node.key == 'Verbose':\r\n                self.verbose_logging = (vals[0].lower() == 'true')\r\n            elif node.key == 'Interval':\r\n                self.interval = float(vals[0])\r\n            elif node.key == 'Device':\r\n                self.devices.append(vals[0])\r\n            else:\r\n                raise ValueError('%s plugin: Unknown config key: %s' % (self.plugin_name, node.key))\r\n        collectd.register_read(self.read, self.interval)\r\n        self.log_verbose('configured with interval=%s' % self.interval)\r\n\r\n\r\nAPPSMART = Smart()\r\ncollectd.register_config(APPSMART.configure_callback)\r\n```","collectorPluginList":"Python plugin, Write Graphite plugin","datasource":"Graphite","privacy":"public","createdAt":"2020-06-23T13:01:27.000Z","updatedAt":"2020-06-23T13:39:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12520"},{"rel":"revisions","href":"/dashboards/12520/revisions"},{"rel":"revision","href":"/dashboards/12520/revisions/1"},{"rel":"download","href":"/dashboards/12520/revisions/1/download"},{"rel":"org","href":"/orgs/sobaka"},{"rel":"images","href":"/dashboards/12520/images"},{"rel":"thumbnails","href":"/dashboards/12520/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":13654,"status":1,"statusCode":"active","orgId":451467,"orgSlug":"olegeech","orgName":"Oleg  Basov","slug":"s-m-a-r-t-dashboard","downloads":2708,"revisionId":19941,"revision":2,"name":"S.M.A.R.T Dashboard","description":"Dashboard for viewing detailed disk information based on S.M.A.R.T data","readme":"Nice and detailed dashboard for viewing ordered disk information taken from the S.M.A.R.T data.\nMost of the panels have info links to the corresponding S.M.A.R.T attribute description. \nContains:\n- ***General panel*** with detailed disk data: model, name, size, firmware, serial, etc\n- ***Temperature panel*** with graphs and gauge bars\n- ***Wear panel*** showing disk lifetime cycles counters\n- ***Errors panel*** with bars and graphs based on the various disk errors observed in S.M.A.R.T\n- ***SAS-specific error panel***\n\nPlease follow the instructions [here](https://github.com/olegeech-me/S.M.A.R.T-disk-monitoring-for-Prometheus) on how to collect metrics for this dashboard.","collectorType":"nodeExporter","collectorConfig":"[Collector script](https://github.com/olegeech-me/S.M.A.R.T-disk-monitoring-for-Prometheus/blob/master/smartmon.sh) is a fork version of micha37-martins repo.\nIt was adapted for running on Linux and FreeBSD, contains some additional metrics for SAS drives, as well as a few new labels for a better ordering.\nGrab it from [here](https://github.com/olegeech-me/S.M.A.R.T-disk-monitoring-for-Prometheus/blob/master/smartmon.sh).","collectorPluginList":"textfile","datasource":"Prometheus","privacy":"public","createdAt":"2020-12-30T23:46:13.000Z","updatedAt":"2020-12-31T09:11:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/13654"},{"rel":"revisions","href":"/dashboards/13654/revisions"},{"rel":"revision","href":"/dashboards/13654/revisions/2"},{"rel":"download","href":"/dashboards/13654/revisions/2/download"},{"rel":"org","href":"/orgs/olegeech"},{"rel":"images","href":"/dashboards/13654/images"},{"rel":"thumbnails","href":"/dashboards/13654/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18836,"status":1,"statusCode":"active","orgId":518670,"orgSlug":"marjanmesgarani","orgName":"marjanmesgarani","slug":"linuxserver1-s-m-a-r-t-disk-health","downloads":387,"revisionId":28885,"revision":1,"name":"S.M.A.R.T Disk Health","description":"A dashboard for visualizing collected S.M.A.R.T data from Linux servers and stored in InfluxDB.","readme":"\r\n\r\nProject available on GitHub: https://github.com/marjan-mesgarani/smartctl-linux","collectorType":"Telegraf","collectorConfig":"https://github.com/marjan-mesgarani/smartctl-linux/blob/main/telegraf-smart/telegraf.conf","collectorPluginList":"influxdb","datasource":"InfluxDB","privacy":"public","createdAt":"2023-05-25T20:15:05.000Z","updatedAt":"2023-05-25T20:36:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18836"},{"rel":"revisions","href":"/dashboards/18836/revisions"},{"rel":"revision","href":"/dashboards/18836/revisions/1"},{"rel":"download","href":"/dashboards/18836/revisions/1/download"},{"rel":"org","href":"/orgs/marjanmesgarani"},{"rel":"images","href":"/dashboards/18836/images"},{"rel":"thumbnails","href":"/dashboards/18836/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10530,"status":1,"statusCode":"active","orgId":263598,"orgSlug":"memorym","orgName":"memorym","slug":"s-m-a-r-t-disk-monitoring-for-prometheus-dashboard","downloads":5964,"revisionId":36666,"revision":7,"name":"S.M.A.R.T 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At the end, you will be able to see the following monitoring graphs from your Bare Metal server. The graph below shows a CPU stress test for 10 minutes, leading to a CPU load spike to 100%, a temperature rise from 40°C to around 80°C, a Fan speed increase from 8000 RPM to 18000 RPM, and power consumption rising from 50 Watts to 200 Watts.  \r\n\r\n## Prerequisites\r\n- Boot Bare Metal server into Sbnb Linux. Read more at [README-INSTALL.md](https://github.com/sbnb-io/sbnb/blob/main/README-INSTALL.md).\r\n- Laptop with [Tailscale](https://tailscale.com/) configured to access the bare metal server for configuration.\r\n\r\n## Howto\r\n\r\n### 1. Boot Bare Metal Server into Sbnb Linux\r\nBoot the Bare Metal server into Sbnb Linux using the instructions in [README-INSTALL.md](https://github.com/sbnb-io/sbnb/blob/main/README-INSTALL.md). 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Pull Grafana Alloy Config and Ansible Playbook\r\n```sh\r\ncurl -O https://raw.githubusercontent.com/sbnb-io/sbnb/refs/heads/main/misc/grafana.yaml\r\ncurl -O https://raw.githubusercontent.com/sbnb-io/sbnb/refs/heads/main/misc/ansible.cfg\r\ncurl -O https://raw.githubusercontent.com/sbnb-io/sbnb/refs/heads/main/misc/config.alloy\r\n```\r\n\r\n### 5. Set environment variables\r\n\r\n```sh\r\nexport SBNB_HOSTS=sbnb-F6S0R8000719\r\nexport GRAFANA_URL=\"https://prometheus-prod-13-prod-us-east-0.grafana.net/api/prom/push\"\r\nexport GRAFANA_USERNAME=\"1962802\"\r\nexport GRAFANA_PASSWORD=\"glc_<REDACTED>\"\r\n```\r\n\r\nReplace `GRAFANA_URL`, `GRAFANA_USERNAME`, and `GRAFANA_PASSWORD` with your own credentials, which you can obtain from your Grafana Cloud account under:\r\n\r\n```\r\nHome -> Connections -> Data sources -> Your Prometheus Data Source -> Authentication\r\n```\r\n\r\n### 6. Run Ansible Playbook\r\n```sh\r\nansible-playbook -i ./ansible_tailscale_inventory.py grafana.yaml\r\n```\r\n\r\nA successful output should look like this:\r\n```\r\n# ansible-playbook -i ./ansible_tailscale_inventory.py grafana.yaml\r\n\r\nPLAY [sbnb-F6S0R8000719] **********************************************************************************************************************\r\n\r\nTASK [ping] ***********************************************************************************************************************************\r\nok: [sbnb-F6S0R8000719]\r\n\r\nTASK [Copy Grafana config] ********************************************************************************************************************\r\nok: [sbnb-F6S0R8000719]\r\n\r\nTASK [Check if \"/dev/ipmi0\" exists] ************************************************************************************************************\r\nok: [sbnb-F6S0R8000719]\r\n\r\nTASK [Start an ipmi-exporter container] ********************************************************************************************************\r\nok: [sbnb-F6S0R8000719]\r\n\r\nTASK [Start a Grafana Alloy container] ********************************************************************************************************\r\nchanged: [sbnb-F6S0R8000719]\r\n\r\nPLAY RECAP ************************************************************************************************************************************\r\nsbnb-F6S0R8000719          : ok=5    changed=1    unreachable=0    failed=0    skipped=0    rescued=0    ignored=0   \r\n```\r\n\r\n### 7. 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weather\n\nIn this example, Seattle weather data used in different type of charts.\n\nPlugins used:\n\n* [Grafana Infinity Panel](https://github.com/yesoreyeram/grafana-infinity-panel)\n* [Grafana Infinity Datasource](https://github.com/yesoreyeram/grafana-infinity-datasource)\n\nData source : https://github.com/vega/vega/blob/master/docs/data/seattle-weather.csv\n\n![image](https://user-images.githubusercontent.com/153843/95414680-54243b80-0926-11eb-8e9f-eb6b2df8daf5.png)\n![image](https://user-images.githubusercontent.com/153843/95414703-5dada380-0926-11eb-8dd4-2df7ab09eac4.png)\n\n\n```json\n{\n  \"__inputs\": [\n    {\n      \"name\": \"DS_INFINITY\",\n      \"label\": \"Infinity\",\n      \"description\": \"\",\n      \"type\": \"datasource\",\n      \"pluginId\": \"yesoreyeram-infinity-datasource\",\n      \"pluginName\": \"Infinity\"\n    }\n  ],\n  \"__requires\": [\n    {\n      \"type\": \"grafana\",\n      \"id\": \"grafana\",\n      \"name\": \"Grafana\",\n      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   {\n              \"selector\": \"precipitation\",\n              \"text\": \"precipitation\",\n              \"type\": \"number\"\n            },\n            {\n              \"selector\": \"temp_max\",\n              \"text\": \"temp_max\",\n              \"type\": \"number\"\n            },\n            {\n              \"selector\": \"temp_min\",\n              \"text\": \"temp_min\",\n              \"type\": \"number\"\n            },\n            {\n              \"selector\": \"wind\",\n              \"text\": \"wind\",\n              \"type\": \"number\"\n            },\n            {\n              \"selector\": \"weather\",\n              \"text\": \"weather\",\n              \"type\": \"string\"\n            }\n          ],\n          \"data\": \"\",\n          \"format\": \"table\",\n          \"global_query_id\": \"\",\n          \"query_mode\": \"standard\",\n          \"refId\": \"A\",\n          \"root_selector\": \"\",\n          \"source\": \"url\",\n          \"type\": \"csv\",\n          \"url\": \"https://raw.githubusercontent.com/vega/vega/master/docs/data/seattle-weather.csv\",\n          \"url_options\": {\n            \"data\": \"\",\n            \"method\": \"GET\"\n          }\n        }\n      ],\n      \"timeFrom\": null,\n      \"timeShift\": null,\n      \"title\": \"Seattle weather - table\",\n      \"type\": \"table\"\n    },\n    {\n      \"datasource\": \"-- Dashboard --\",\n      \"fieldConfig\": {\n        \"defaults\": {\n          \"custom\": {\n            \"align\": null,\n            \"filterable\": false\n          },\n          \"mappings\": [],\n          \"thresholds\": {\n            \"mode\": \"absolute\",\n            \"steps\": [\n              {\n                \"color\": \"green\",\n                \"value\": null\n              },\n              {\n                \"color\": \"red\",\n                \"value\": 80\n              }\n            ]\n          }\n        },\n        \"overrides\": []\n      },\n      \"gridPos\": {\n        \"h\": 7,\n        \"w\": 5,\n        \"x\": 0,\n        \"y\": 8\n      },\n      \"id\": 3,\n      \"options\": {\n        \"settings\": {\n          \"vega\": {\n            \"spec\": {\n              \"data\": {\n                \"name\": \"table\"\n              },\n              \"encoding\": {\n                \"x\": {\n                  \"field\": \"precipitation\",\n                  \"type\": \"quantitative\"\n                }\n              },\n              \"layer\": [\n                {\n                  \"mark\": {\n                    \"type\": \"tick\"\n                  }\n                }\n              ]\n            },\n            \"theme\": \"dark\"\n          }\n        },\n        \"type\": \"vega-lite\"\n      },\n      \"pluginVersion\": \"7.2.0-beta2\",\n      \"targets\": [\n        {\n          \"panelId\": 2,\n          \"refId\": \"A\"\n        }\n      ],\n      \"timeFrom\": null,\n      \"timeShift\": null,\n      \"title\": \"precipitation\",\n      \"type\": \"yesoreyeram-infinity-panel\"\n    },\n    {\n      \"datasource\": \"-- Dashboard --\",\n      \"fieldConfig\": {\n        \"defaults\": {\n          \"custom\": {\n            \"align\": null,\n            \"filterable\": false\n          },\n          \"mappings\": [],\n          \"thresholds\": {\n            \"mode\": \"absolute\",\n            \"steps\": [\n              {\n                \"color\": \"green\",\n                \"value\": null\n              },\n              {\n                \"color\": \"red\",\n                \"value\": 80\n              }\n            ]\n          }\n        },\n        \"overrides\": []\n      },\n      \"gridPos\": {\n        \"h\": 7,\n        \"w\": 7,\n        \"x\": 5,\n        \"y\": 8\n      },\n      \"id\": 5,\n      \"options\": {\n        \"settings\": {\n          \"vega\": {\n            \"spec\": {\n              \"data\": {\n                \"name\": \"table\"\n              },\n              \"encoding\": {\n                \"x\": {\n                  \"field\": \"date\",\n                  \"timeUnit\": \"month\",\n                  \"type\": \"temporal\"\n                },\n                \"y\": {\n                  \"aggregate\": \"mean\",\n                  \"field\": \"precipitation\",\n                  \"type\": \"quantitative\"\n                }\n              },\n              \"layer\": [\n                {\n                  \"mark\": {\n                    \"type\": \"line\"\n                  }\n                }\n              ]\n            },\n            \"theme\": \"dark\"\n          }\n        },\n        \"type\": \"vega-lite\"\n      },\n      \"pluginVersion\": \"7.2.0-beta2\",\n      \"targets\": [\n        {\n          \"panelId\": 2,\n          \"refId\": \"A\"\n        }\n      ],\n      \"timeFrom\": null,\n      \"timeShift\": null,\n      \"title\": \"Mean precipitation of every month\",\n      \"type\": \"yesoreyeram-infinity-panel\"\n    },\n    {\n      \"datasource\": \"-- Dashboard --\",\n      \"fieldConfig\": {\n        \"defaults\": {\n          \"custom\": {\n            \"align\": null,\n            \"filterable\": false\n          },\n          \"mappings\": [],\n          \"thresholds\": {\n            \"mode\": \"absolute\",\n            \"steps\": [\n              {\n                \"color\": \"green\",\n                \"value\": null\n              },\n              {\n                \"color\": \"red\",\n                \"value\": 80\n              }\n            ]\n          }\n        },\n        \"overrides\": []\n      },\n      \"gridPos\": {\n        \"h\": 7,\n        \"w\": 6,\n        \"x\": 12,\n        \"y\": 8\n      },\n      \"id\": 6,\n      \"options\": {\n        \"settings\": {\n          \"vega\": {\n            \"spec\": {\n              \"data\": {\n                \"name\": \"table\"\n              },\n              \"encoding\": {\n              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\"defaults\": {\n          \"custom\": {\n            \"align\": null,\n            \"filterable\": false\n          },\n          \"mappings\": [],\n          \"thresholds\": {\n            \"mode\": \"absolute\",\n            \"steps\": [\n              {\n                \"color\": \"green\",\n                \"value\": null\n              },\n              {\n                \"color\": \"red\",\n                \"value\": 80\n              }\n            ]\n          }\n        },\n        \"overrides\": []\n      },\n      \"gridPos\": {\n        \"h\": 7,\n        \"w\": 6,\n        \"x\": 18,\n        \"y\": 8\n      },\n      \"id\": 7,\n      \"options\": {\n        \"settings\": {\n          \"vega\": {\n            \"spec\": {\n              \"data\": {\n                \"name\": \"table\"\n              },\n              \"encoding\": {\n                \"x\": {\n                  \"field\": \"date\",\n                  \"timeUnit\": \"month\",\n                  \"type\": \"temporal\"\n                },\n                \"y\": {\n                  \"aggregate\": \"mean\",\n                  \"field\": \"temp_range\",\n                  \"type\": \"quantitative\"\n                }\n              },\n              \"layer\": [\n                {\n                  \"mark\": {\n                    \"type\": \"line\"\n                  }\n                }\n              ],\n              \"transform\": [\n                {\n                  \"as\": \"temp_range\",\n                  \"calculate\": \"datum.temp_max - datum.temp_min\"\n                }\n              ]\n            },\n            \"theme\": \"dark\"\n          }\n        },\n        \"type\": \"vega-lite\"\n      },\n      \"pluginVersion\": \"7.2.0-beta2\",\n      \"targets\": [\n        {\n          \"panelId\": 2,\n          \"refId\": \"A\"\n        }\n      ],\n      \"timeFrom\": null,\n      \"timeShift\": null,\n      \"title\": \"temperature variation by month\",\n      \"type\": \"yesoreyeram-infinity-panel\"\n    },\n    {\n      \"datasource\": \"-- Dashboard --\",\n      \"fieldConfig\": {\n        \"defaults\": {\n          \"custom\": {\n            \"align\": null,\n            \"filterable\": false\n          },\n          \"mappings\": [],\n          \"thresholds\": {\n            \"mode\": \"absolute\",\n            \"steps\": [\n              {\n                \"color\": \"green\",\n                \"value\": null\n              },\n              {\n                \"color\": \"red\",\n                \"value\": 80\n              }\n            ]\n          }\n        },\n        \"overrides\": []\n      },\n      \"gridPos\": {\n        \"h\": 10,\n        \"w\": 5,\n        \"x\": 0,\n        \"y\": 15\n      },\n      \"id\": 4,\n      \"options\": {\n        \"settings\": {\n          \"vega\": {\n            \"spec\": {\n              \"data\": {\n                \"name\": \"table\"\n              },\n              \"encoding\": {\n                \"x\": {\n                  \"bin\": true,\n                  \"field\": \"precipitation\",\n                  \"type\": \"quantitative\"\n                },\n                \"y\": {\n                  \"aggregate\": \"count\",\n                  \"field\": \"*\",\n                  \"type\": \"quantitative\"\n                }\n              },\n              \"layer\": [\n                {\n                  \"mark\": {\n                    \"type\": \"bar\"\n                  }\n                }\n              ]\n            },\n            \"theme\": \"dark\"\n          }\n        },\n        \"type\": \"vega-lite\"\n      },\n      \"pluginVersion\": \"7.2.0-beta2\",\n      \"targets\": [\n        {\n          \"panelId\": 2,\n          \"refId\": \"A\"\n        }\n      ],\n      \"timeFrom\": null,\n      \"timeShift\": null,\n      \"title\": \"precipitation\",\n      \"type\": \"yesoreyeram-infinity-panel\"\n    },\n    {\n      \"datasource\": \"-- Dashboard --\",\n      \"fieldConfig\": {\n        \"defaults\": {\n          \"custom\": {\n            \"align\": null,\n            \"filterable\": false\n          },\n          \"mappings\": [],\n          \"thresholds\": {\n            \"mode\": \"absolute\",\n            \"steps\": [\n              {\n                \"color\": \"green\",\n                \"value\": null\n              },\n              {\n                \"color\": \"red\",\n                \"value\": 80\n              }\n            ]\n          }\n        },\n        \"overrides\": []\n      },\n      \"gridPos\": {\n        \"h\": 10,\n        \"w\": 6,\n        \"x\": 5,\n        \"y\": 15\n      },\n      \"id\": 8,\n      \"options\": {\n        \"settings\": {\n          \"vega\": {\n            \"spec\": {\n              \"data\": {\n                \"name\": \"table\"\n              },\n              \"encoding\": {\n                \"color\": {\n                  \"field\": \"weather\",\n                  \"type\": \"nominal\"\n                },\n                \"x\": {\n                  \"field\": \"date\",\n                  \"timeUnit\": \"month\",\n                  \"type\": \"temporal\"\n                },\n                \"y\": {\n                  \"aggregate\": \"count\",\n                  \"field\": \"*\",\n                  \"type\": \"quantitative\"\n                }\n              },\n              \"layer\": [\n                {\n                  \"mark\": {\n                    \"type\": \"bar\"\n                  }\n                }\n              ]\n            },\n            \"theme\": \"dark\"\n          }\n        },\n        \"type\": \"vega-lite\"\n      },\n      \"pluginVersion\": \"7.2.0-beta2\",\n      \"targets\": [\n        {\n          \"panelId\": 2,\n          \"refId\": \"A\"\n        }\n      ],\n      \"timeFrom\": null,\n      \"timeShift\": null,\n      \"title\": \"Count of records by weather type\",\n      \"type\": 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","readme":"Configure Prometheus in the following path:\r\n‘/etc/prometheus/prometheus.yml’.\r\n\r\nContent:\r\n\r\n```\r\nscrape_configs:\r\n   # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.\r\n   - job_name: 'securepoint_cloud_metrics'\r\n     scrape_interval: 60s # Do not edit\r\n     scrape_timeout: 30s\r\n     metrics_path: /sms-mgt-api/api/2.0/metrics\r\n     scheme: https\r\n     bearer_token: 'eyJhbGciOiJIUzI1NiIsInR5...'\r\n     static_configs:\r\n     - targets:\r\n       - portal.securepoint.cloud\r\n```\r\nThe value of the API-Key (with quotation marks) is entered as bearer_token.\r\n\r\nSource: https://wiki.securepoint.de/USC/Api-Keys","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-15T14:26:24.000Z","updatedAt":"2024-04-15T15:26:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20898"},{"rel":"revisions","href":"/dashboards/20898/revisions"},{"rel":"revision","href":"/dashboards/20898/revisions/1"},{"rel":"download","href":"/dashboards/20898/revisions/1/download"},{"rel":"org","href":"/orgs/securepoint"},{"rel":"images","href":"/dashboards/20898/images"},{"rel":"thumbnails","href":"/dashboards/20898/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20874,"status":1,"statusCode":"active","orgId":1098252,"orgSlug":"securepoint","orgName":"Securepoint GmbH","slug":"mdm","downloads":255,"revisionId":32367,"revision":1,"name":"Securepoint MDM Dashboard","description":"Dashboard for visualizing Securepoint MDM API Data.","readme":"Configure Prometheus in the following path:\r\n‘/etc/prometheus/prometheus.yml’.\r\n\r\nContent:\r\n\r\n```\r\nscrape_configs:\r\nconfig.\r\n   - job_name: 'securepoint_cloud_metrics'\r\n     scrape_interval: 60s # Do not edit\r\n     scrape_timeout: 30s\r\n     metrics_path: /sms-mgt-api/api/2.0/metrics\r\n     scheme: https\r\n     bearer_token: 'eyJhbGciOiJIUzI1NiIsInR5...'\r\n     static_configs:\r\n     - targets:\r\n       - portal.securepoint.cloud\r\n```\r\nThe value of the API-Key (with quotation marks) is entered as bearer_token.\r\n\r\nSource: https://wiki.securepoint.de/USC/Api-Keys","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-12T06:44:55.000Z","updatedAt":"2024-04-15T15:30:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20874"},{"rel":"revisions","href":"/dashboards/20874/revisions"},{"rel":"revision","href":"/dashboards/20874/revisions/1"},{"rel":"download","href":"/dashboards/20874/revisions/1/download"},{"rel":"org","href":"/orgs/securepoint"},{"rel":"images","href":"/dashboards/20874/images"},{"rel":"thumbnails","href":"/dashboards/20874/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20896,"status":1,"statusCode":"active","orgId":1098252,"orgSlug":"securepoint","orgName":"Securepoint GmbH","slug":"utm","downloads":262,"revisionId":32411,"revision":1,"name":"Securepoint UTM Dashboard","description":"Dashboard for visualizing Securepoint UTM API Data.","readme":"Configure Prometheus in the following path:\r\n‘/etc/prometheus/prometheus.yml’.\r\n\r\nContent:\r\n\r\n```\r\nscrape_configs:\r\n   # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.\r\n   - job_name: 'securepoint_cloud_metrics'\r\n     scrape_interval: 60s # Do not edit\r\n     scrape_timeout: 30s\r\n     metrics_path: /sms-mgt-api/api/2.0/metrics\r\n     scheme: https\r\n     bearer_token: 'eyJhbGciOiJIUzI1NiIsInR5...'\r\n     static_configs:\r\n     - targets:\r\n       - portal.securepoint.cloud\r\n```\r\nThe value of the API-Key (with quotation marks) is entered as bearer_token.\r\n\r\nSource: https://wiki.securepoint.de/USC/Api-Keys","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-15T14:22:26.000Z","updatedAt":"2024-04-15T15:27:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20896"},{"rel":"revisions","href":"/dashboards/20896/revisions"},{"rel":"revision","href":"/dashboards/20896/revisions/1"},{"rel":"download","href":"/dashboards/20896/revisions/1/download"},{"rel":"org","href":"/orgs/securepoint"},{"rel":"images","href":"/dashboards/20896/images"},{"rel":"thumbnails","href":"/dashboards/20896/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20897,"status":1,"statusCode":"active","orgId":1098252,"orgSlug":"securepoint","orgName":"Securepoint GmbH","slug":"vpn","downloads":263,"revisionId":32412,"revision":1,"name":"Securepoint VPN Dashboard","description":"Dashboard for visualizing Securepoint VPN API Data. ","readme":"Configure Prometheus in the following path:\r\n‘/etc/prometheus/prometheus.yml’.\r\n\r\nContent:\r\n\r\n```\r\nscrape_configs:\r\n   # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.\r\n   - job_name: 'securepoint_cloud_metrics'\r\n     scrape_interval: 60s # Do not edit\r\n     scrape_timeout: 30s\r\n     metrics_path: /sms-mgt-api/api/2.0/metrics\r\n     scheme: https\r\n     bearer_token: 'eyJhbGciOiJIUzI1NiIsInR5...'\r\n     static_configs:\r\n     - targets:\r\n       - portal.securepoint.cloud\r\n```\r\nThe value of the API-Key (with quotation marks) is entered as bearer_token.\r\n\r\nSource: https://wiki.securepoint.de/USC/Api-Keys","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-15T14:24:50.000Z","updatedAt":"2024-04-15T15:26:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20897"},{"rel":"revisions","href":"/dashboards/20897/revisions"},{"rel":"revision","href":"/dashboards/20897/revisions/1"},{"rel":"download","href":"/dashboards/20897/revisions/1/download"},{"rel":"org","href":"/orgs/securepoint"},{"rel":"images","href":"/dashboards/20897/images"},{"rel":"thumbnails","href":"/dashboards/20897/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18693,"status":1,"statusCode":"active","orgId":851801,"orgSlug":"tcoimbra","orgName":"tcoimbra","slug":"security-alerts-from-sophos-central","downloads":464,"revisionId":28675,"revision":1,"name":"Security alerts from Sophos Central","description":"Displays security alerts from Sophos Central","readme":"This dashboard displays  security alerts from Sophos Central. It shows the following:\r\n- Main alerts\r\n- Server security alerts\r\n- Computer security alerts\r\n- Server OS stats\r\n- Computer OS stats\r\n\r\nThis helps you monitor and share the security status of your Sophos security solution. To setup this dashboard, please check the dedicated github to get the Telegraf configuration and the python script to collect the data from Sophos Central.\r\n\r\nGithub link:\r\n- https://github.com/tcoimbra/getSophosCentralData","collectorType":"Telegraf","collectorConfig":"[[inputs.exec]]\r\n command = \"python3 /opt/monitoring/sophosCentralV2/getSophosCentralData.py\"\r\n data_format = \"json\"\r\n name_suffix = \"_sophoscentral\"\r\n interval = \"10m\"\r\n timeout = \"120s\"","collectorPluginList":"exec","datasource":"InfluxDB","privacy":"public","createdAt":"2023-05-08T08:14:41.000Z","updatedAt":"2023-05-08T08:41:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18693"},{"rel":"revisions","href":"/dashboards/18693/revisions"},{"rel":"revision","href":"/dashboards/18693/revisions/1"},{"rel":"download","href":"/dashboards/18693/revisions/1/download"},{"rel":"org","href":"/orgs/tcoimbra"},{"rel":"images","href":"/dashboards/18693/images"},{"rel":"thumbnails","href":"/dashboards/18693/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":3099,"status":1,"statusCode":"active","orgId":82689,"orgSlug":"tbaror","orgName":"tbaror","slug":"event-table","downloads":2812,"revisionId":5712,"revision":4,"name":"Security center","description":"Security feed from Pfsense snort Barnyard2 output ","readme":"Using Logstash receiver and Elasticsearch ,\r\n Snort add-on on Pfsenese Firewall and Barnyard2 sends syslogs sends to Logstasth act as  syslog listener and store into elasticsearch \r\nAdded few screenshot for configuratiuon tips , and in addition my Logstash input file config\r\n\r\nLogstash config file\r\n========================\r\n\r\n# Author: Tal Bar-Or\r\n# Email: tbaror@dalet.com\r\n# Last Update: 11/18/2016\r\n#\r\n# This conf file is based on accepting logs for snort\r\ninput {\r\n  udp {\r\n    port => 5142\r\n    type => snort\r\n  }\r\n}\r\nfilter {\r\n  if [host] =~ /172\\.17\\.37\\.2/ or [host] =~ /10.0.8.2/ or [host] =~ /10\\.0\\.11\\.2/ or [host] =~ /10\\.0\\.10\\.2/ or [host] =~ /10\\.0\\.12\\.2/ or [host] =~ /10\\.0\\.14\\.2/ or [host] =~ /10\\.0\\.15\\.2/{\r\n    # This is the initial parsing of the log\r\n    grok {\r\n      match => { \"message\" => \"\\|%{SPACE}\\[%{WORD:msg_source}\\[%{WORD:msg}\\]\\:%{SPACE}\\[%{GREEDYDATA:sensor_name}\\]%{SPACE}\\]%{SPACE}\\|\\|%{SPACE}%{TIMESTAMP_ISO8601:event_timestamp}%{SPACE}%{INT:event_priority}%{SPACE}\\[%{INT:gid}:%{INT:sid}:%{INT:rev}\\]%{SPACE}%{DATA:alert_description}\\|\\|%{SPACE}%{DATA:classification}%{SPACE}\\|\\|%{SPACE}%{INT:protocol}%{SPACE}%{IP:SrcIp}%{SPACE}%{IP:DstIp}%{SPACE}\\|\\|%{SPACE}%{INT:SrcPort}%{SPACE}%{INT:DstPort}%{SPACE}\"}\r\n    }\r\n\t# If you'd like to collect the DNS name for the SrcIP keep this section.  Caution, this can cause an attacker to go into hiding.\r\n\t# If you do not want reverse DNS lookups of IPs keep this uncommented.\r\n    #mutate {\r\n    #  add_field => { \"SrcIP-resolved\" => \"%{SrcIp}\" }\r\n    #}\r\n    #dns {\r\n    #  reverse => [ \"[SrcIP-resolved]\" ]\r\n    #  action => \"replace\"\r\n    #}\r\n\t\r\n\t# This will attempt to do a geoip lookup against the SrcIP\r\n\tgeoip {\r\n      source => \"SrcIp\"\r\n      target => \"SrcGeoip\"\r\n      database => \"/etc/logstash/GeoLite2-City.mmdb\"\r\n      add_field => [ \"[SrcGeoip][coordinates]\", \"%{[geoip][longitude]}\" ]\r\n      add_field => [ \"[SrcGeoip][coordinates]\", \"%{[geoip][latitude]}\"  ]\r\n    }\r\n    mutate {\r\n      convert => [ \"[SrcGeoip][coordinates]\", \"float\"]\r\n    }\r\n    #geoip {\r\n    #  source => \"[SrcIp]\"\r\n    #  target => \"SrcGeo\"\r\n\t  \r\n\t#}\r\n      \r\n    \r\n\t# If you'd like to collect the DNS name for the DstIP keep this section.  Caution, this can cause an attacker to go into hiding.\r\n\t# If you do not want reverse DNS lookups of IPs keep this uncommented.\r\n    #mutate {\r\n    #  add_field => { \"DstIP-resolved\" => \"%{DstIp}\" }\r\n    #}\r\n    #dns {\r\n    #  reverse => [ \"[DstIP-resolved]\" ]\r\n    #  action => \"replace\"\r\n    #}\r\n\t\r\n\t\r\n\t# This will attempt to do a geoip lookup against the DstIP\r\n\tgeoip {\r\n      source => \"DstIp\"\r\n      target => \"DstGeoip\"\r\n      database => \"/etc/logstash/GeoLite2-City.mmdb\"\r\n      add_field => [ \"[DstGeoip][coordinates]\", \"%{[geoip][longitude]}\" ]\r\n      add_field => [ \"[DstGeoip][coordinates]\", \"%{[geoip][latitude]}\"  ]\r\n    }\r\n    mutate {\r\n      convert => [ \"[DstGeoip][coordinates]\", \"float\"]\r\n    }\r\n\t\r\n    #geoip {\r\n    #  source => \"[DstIp]\"\r\n    #  target => \"DstGeo\"\r\n\t   \r\n    #}\r\n    \r\n    \r\n\t\r\n\t# If the alert is a Snort GPL alert break it apart for easier reading and categorization\r\n    if [alert_description] =~ \"GPL \" {\r\n\t  # This will parse out the category type from the alert\r\n      grok {\r\n        match => { \"alert\" => \"GPL\\s+%{DATA:category}\\s\" }\r\n      }\r\n\t  # This will store the category\r\n      mutate {\r\n        add_field => { \"rule_type\" => \"Snort GPL\" }\r\n        lowercase => [ \"category\"]\r\n        }\r\n    }\r\n\t# If the alert is an Emerging Threat alert break it apart for easier reading and categorization\r\n    if [alert_description] =~ \"ET \" {\r\n\t  # This will parse out the category type from the alert\r\n      grok {\r\n        match => { \"alert\" => \"ET\\s+%{DATA:category}\\s\" }\r\n      }\r\n\t  # This will store the category\r\n      mutate {\r\n        add_field => { \"rule_type\" => \"Emerging Threats\" }\r\n        lowercase => [ \"category\"]\r\n      }\r\n    }\r\n\t# I recommend changing the field types below to integer so searches can do greater than or less than\r\n\t# and also so math functions can be ran against them\r\n    mutate {\r\n      convert => [ \"SrcPort\", \"integer\" ]\r\n      convert => [ \"DstPort\", \"integer\" ]\r\n\t  convert => [ \"event_priority\", \"integer\" ]\r\n\t  convert => [ \"protocol\", \"integer\" ]\r\n\t  \r\n      remove_field => [ \"message\"]\r\n    }\r\n\t# This will translate the priority field into a severity field of either High, Medium, or Low\r\n\tif [event_priority] == 1 {\r\n      mutate {\r\n        add_field => { \"severity\" => \"High\" }\r\n      }\r\n    }\r\n    if [event_priority] == 2 {\r\n      mutate {\r\n        add_field => { \"severity\" => \"Medium\" }\r\n      }\r\n    }\r\n    if [event_priority] == 3 {\r\n      mutate {\r\n        add_field => { \"severity\" => \"Low\" }\r\n      }\r\n    }\r\n    # This section adds URLs to lookup information about a rule online\r\n      mutate {\r\n\t  \r\n\t\tadd_field => [ \"ET_Signature_Info\", \"http://doc.emergingthreats.net/%{sid}\" ]\r\n\t\tadd_field => [ \"Snort_Signature_Info\", \"https://www.snort.org/search?query=%{gid}-%{sid}\" ]\r\n\t\t\r\n\t\t}\r\n    \r\n\t\r\n\t#protocol type detection\r\n\tif [protocol] == 17 {\r\n\t mutate {\r\n\t\treplace => { \"protocol\" => \"UDP\" }\r\n\t}\r\n\t\r\n\t}\r\n\t\r\n\tif [protocol] == 6 {\r\n\t mutate {\r\n\t\treplace => { \"protocol\" => \"TCP\" }\r\n\t}\r\n\t\r\n\t}\r\n\t\r\n\t\r\n\tif [protocol] == 1 {\r\n\t mutate {\r\n\t\treplace => { \"protocol\" => \"ICMP\" }\r\n\t}\r\n\t\r\n\t}\r\n\t\r\n\tif [protocol] == 2 {\r\n\t mutate {\r\n\t\treplace => { \"protocol\" => \"IGMP\" }\r\n\t}\r\n\t\r\n\t}\r\n\t\r\n  }\r\n}\r\n\r\noutput {\r\n\tif [msg_source]== \"SNORTIDS\"  {\r\n    elasticsearch {\r\n\t\t\tindex => \"ids_sensors\"\r\n\t\t\thosts => [\"localhost:9200\"]}\r\n    stdout { codec => rubydebug }\r\n    \r\n  }\r\n}\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2017-09-03T13:07:02.000Z","updatedAt":"2018-01-02T17:31:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/3099"},{"rel":"revisions","href":"/dashboards/3099/revisions"},{"rel":"revision","href":"/dashboards/3099/revisions/4"},{"rel":"download","href":"/dashboards/3099/revisions/4/download"},{"rel":"org","href":"/orgs/tbaror"},{"rel":"images","href":"/dashboards/3099/images"},{"rel":"thumbnails","href":"/dashboards/3099/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":9549,"status":1,"statusCode":"active","orgId":223098,"orgSlug":"justinvarner","orgName":"justinvarner","slug":"security-center","downloads":398,"revisionId":13189,"revision":1,"name":"Security center","description":"Security feed from Pfsense snort Barnyard2 output ","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2018-12-18T07:55:06.000Z","updatedAt":"2018-12-18T07:55:50.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9549"},{"rel":"revisions","href":"/dashboards/9549/revisions"},{"rel":"revision","href":"/dashboards/9549/revisions/1"},{"rel":"download","href":"/dashboards/9549/revisions/1/download"},{"rel":"org","href":"/orgs/justinvarner"},{"rel":"images","href":"/dashboards/9549/images"},{"rel":"thumbnails","href":"/dashboards/9549/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":9693,"status":1,"statusCode":"active","orgId":230328,"orgSlug":"hypery2k","orgName":"hypery2k","slug":"security-monitoring","downloads":909,"revisionId":13474,"revision":1,"name":"Security Monitoring","description":"Show OpenShift Route Info","readme":"Monitor OpenShift Routes in Prometheus.\r\n\r\nSee [GitHub](https://github.com/toolisticon/oc-routes-prometheus-exporter) for more details","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-01-21T15:26:15.000Z","updatedAt":"2019-01-21T15:28:26.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9693"},{"rel":"revisions","href":"/dashboards/9693/revisions"},{"rel":"revision","href":"/dashboards/9693/revisions/1"},{"rel":"download","href":"/dashboards/9693/revisions/1/download"},{"rel":"org","href":"/orgs/hypery2k"},{"rel":"images","href":"/dashboards/9693/images"},{"rel":"thumbnails","href":"/dashboards/9693/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21054,"status":1,"statusCode":"active","orgId":617573,"orgSlug":"d7y","orgName":"d7y","slug":"seed-client","downloads":1854,"revisionId":39610,"revision":8,"name":"Seed Client","description":"Grafana dashboard for dragonfly seed client.","readme":"Grafana dashboard for dragonfly seed client.\r\n\r\nSOURCE: https://github.com/dragonflyoss/monitoring","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2024-05-10T02:47:19.000Z","updatedAt":"2026-01-20T04:33:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21054"},{"rel":"revisions","href":"/dashboards/21054/revisions"},{"rel":"revision","href":"/dashboards/21054/revisions/8"},{"rel":"download","href":"/dashboards/21054/revisions/8/download"},{"rel":"org","href":"/orgs/d7y"},{"rel":"images","href":"/dashboards/21054/images"},{"rel":"thumbnails","href":"/dashboards/21054/thumbnails"}]},{"id":9013,"status":1,"statusCode":"active","orgId":212275,"orgSlug":"michaijtsma","orgName":"michaijtsma","slug":"elasticsearch-cluster-overview","downloads":281,"revisionId":12442,"revision":1,"name":"Segona Cluster - Overview","description":"sdfsdf","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2018-11-14T18:54:48.000Z","updatedAt":"2018-11-14T18:56:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9013"},{"rel":"revisions","href":"/dashboards/9013/revisions"},{"rel":"revision","href":"/dashboards/9013/revisions/1"},{"rel":"download","href":"/dashboards/9013/revisions/1/download"},{"rel":"org","href":"/orgs/michaijtsma"},{"rel":"images","href":"/dashboards/9013/images"},{"rel":"thumbnails","href":"/dashboards/9013/thumbnails"}]},{"id":14975,"status":1,"statusCode":"active","orgId":489041,"orgSlug":"nikosekawanmedia","orgName":"nikosekawanmedia","slug":"sekawan-media-monitoring-system-with-docker-container","downloads":475,"revisionId":22683,"revision":2,"name":"Sekawan Media - Monitoring System With Docker 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Prometheus","privacy":"public","createdAt":"2021-09-08T06:55:52.000Z","updatedAt":"2021-10-21T22:28:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14975"},{"rel":"revisions","href":"/dashboards/14975/revisions"},{"rel":"revision","href":"/dashboards/14975/revisions/2"},{"rel":"download","href":"/dashboards/14975/revisions/2/download"},{"rel":"org","href":"/orgs/nikosekawanmedia"},{"rel":"images","href":"/dashboards/14975/images"},{"rel":"thumbnails","href":"/dashboards/14975/thumbnails"}],"datasourceSlugs":["mysql","prometheus"]},{"id":10725,"status":1,"statusCode":"active","orgId":276331,"orgSlug":"ustyuzhaninav","orgName":"ustyuzhaninav","slug":"selectel-billing","downloads":450,"revisionId":14968,"revision":1,"name":"Selectel Billing","description":"Дашборд для selectel_billing_exporter","readme":"\r\n[![Build Status](https://cloud.drone.io/api/badges/UstyuzhaninAV/selectel_billing_exporter/status.svg)](https://cloud.drone.io/UstyuzhaninAV/selectel_billing_exporter)\r\n\r\n![Docker Stars](https://img.shields.io/docker/stars/ustiuzhanin/selectel_billing_exporter_v3)\r\n![Docker Pulls](https://img.shields.io/docker/pulls/ustiuzhanin/selectel_billing_exporter_v3)\r\n\r\n![GitHub top language](https://img.shields.io/github/languages/top/UstyuzhaninAV/selectel_billing_exporter?style=plastic)\r\n![GitHub repo size](https://img.shields.io/github/repo-size/UstyuzhaninAV/selectel_billing_exporter)\r\n\r\n![GitHub commit activity](https://img.shields.io/github/commit-activity/m/UstyuzhaninAV/selectel_billing_exporter)\r\n\r\n# Selectel Billing Exporter\r\n\r\nПрометеус экспортер для получения кол-ва средств на счете аккаунта Selectel.\r\n\r\n## Как работает экспортер\r\n\r\nЭкспортер раз в час ходит по url `https://my.selectel.ru/api/v3/billing/balance` с токеном в запросе, получает в json формате инфу по балансу средств на счете и отдает ее по url `/metrics` в формате прометеуса.\r\n\r\nДля работы экспортера нужно получить API [токен](https://kb.selectel.ru/24381209.html):\r\n\r\n> Прежде чем приступать к работе с API, необходимо получить ключ (токен). Зарегистрированные пользователи Selectel могут получить ключ на странице my.selectel.ru/profile/apikeys. 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графаны:\r\n\r\n[Дашборд](https://grafana.com/dashboards/10725)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-08-14T06:07:37.000Z","updatedAt":"2019-08-14T06:52:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10725"},{"rel":"revisions","href":"/dashboards/10725/revisions"},{"rel":"revision","href":"/dashboards/10725/revisions/1"},{"rel":"download","href":"/dashboards/10725/revisions/1/download"},{"rel":"org","href":"/orgs/ustyuzhaninav"},{"rel":"images","href":"/dashboards/10725/images"},{"rel":"thumbnails","href":"/dashboards/10725/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9315,"status":1,"statusCode":"active","orgId":218562,"orgSlug":"mxssl","orgName":"mxssl","slug":"selectel-billing-dashboard","downloads":336,"revisionId":29927,"revision":3,"name":"Selectel Billing Dashboard","description":"Дашборд с 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system","datasource":"InfluxDB","privacy":"public","createdAt":"2024-01-14T10:53:41.000Z","updatedAt":"2024-01-14T16:07:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20296"},{"rel":"revisions","href":"/dashboards/20296/revisions"},{"rel":"revision","href":"/dashboards/20296/revisions/1"},{"rel":"download","href":"/dashboards/20296/revisions/1/download"},{"rel":"org","href":"/orgs/yassinefadhlaoui"},{"rel":"images","href":"/dashboards/20296/images"},{"rel":"thumbnails","href":"/dashboards/20296/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20299,"status":1,"statusCode":"active","orgId":372388,"orgSlug":"yassinefadhlaoui","orgName":"yassinefadhlaoui","slug":"server-monitoring-influxql","downloads":341,"revisionId":31290,"revision":1,"name":"Server monitoring influxql","description":"Simple dashboard to visualize basic Linux nodes using InfluxDB and InfluxQL.","readme":"A simple dashboard to show basic metrics of Linux nodes: \r\n* Disk usage\r\n* Network usage\r\n* CPU and Memory usage\r\n","collectorType":"Telegraf","collectorConfig":"```\r\n  [[outputs.influxdb_v2]]\r\n     urls = [\"http://influxdb:8086\"]\r\n     ## Token for authentication.\r\n     token = \"token\"\r\n     organization = \"monitoring-org\"\r\n     bucket = \"monitoring-bucket\"\r\n```","collectorPluginList":"system, procstat","datasource":"InfluxDB","privacy":"public","createdAt":"2024-01-14T16:12:39.000Z","updatedAt":"2024-01-14T16:19:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20299"},{"rel":"revisions","href":"/dashboards/20299/revisions"},{"rel":"revision","href":"/dashboards/20299/revisions/1"},{"rel":"download","href":"/dashboards/20299/revisions/1/download"},{"rel":"org","href":"/orgs/yassinefadhlaoui"},{"rel":"images","href":"/dashboards/20299/images"},{"rel":"thumbnails","href":"/dashboards/20299/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24820,"status":1,"statusCode":"active","orgId":891964,"orgSlug":"callcorp","orgName":"CallCorp","slug":"server-overview","downloads":58,"revisionId":40819,"revision":4,"name":"Server Overview","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"OpenSearch, Prometheus","privacy":"public","createdAt":"2026-02-06T17:01:52.000Z","updatedAt":"2026-05-20T10:12:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24820"},{"rel":"revisions","href":"/dashboards/24820/revisions"},{"rel":"revision","href":"/dashboards/24820/revisions/4"},{"rel":"download","href":"/dashboards/24820/revisions/4/download"},{"rel":"org","href":"/orgs/callcorp"},{"rel":"images","href":"/dashboards/24820/images"},{"rel":"thumbnails","href":"/dashboards/24820/thumbnails"}],"datasourceSlugs":["grafana-opensearch-datasource","prometheus"]},{"id":23643,"status":1,"statusCode":"active","orgId":1467086,"orgSlug":"tmskln","orgName":"tmskln","slug":"server-overview-collectd-prometheus-release-2-0-4","downloads":300,"revisionId":37653,"revision":3,"name":"Server Overview CollectD Prometheus [release 2.0.4]","description":"CollectD Prometheus Server Metrics (CPU, Memory, IO, Disks)","readme":"The dashboard shows **CollectD** metrics exported by the *writePrometheus* plugin to **Prometheus** or **Mimir** backend. Although CollectD with Graphite backend is the preferred combination, this dashboard facilitates the migration to the Prometheus backend while retaining existing CollectD sensors. \r\n\r\n🔗 [GitHub](https://github.com/tmskln/grafana_collectd_prometheus.git)\r\n🔗 [www.t-klein.de](https://www.t-klein.de)\r\n\r\n### Features:\r\n✅  multiple nodes select  \r\n✅  datasource configurable on import  \r\n✅  Quick view  \r\n✅  Metric Panels  \r\n✅   - Uptime  \r\n✅   - Users  \r\n✅   - CPU  \r\n✅   - RAM  \r\n✅   - Memory,Swap  \r\n✅   - Processes/Load  \r\n✅   - Disk Usage,Inodes,Ops  \r\n✅   - Network Traffic,Errors,TCP  \r\n✅   - Sensors Fan,Voltage,Current  \r\n\r\n### License\r\nMIT License\r\nCopyright (c) 2025 Thomas Hubertus Klein","collectorType":"collectd","collectorConfig":"```\r\nLoadPlugin cpu\r\n  <Plugin cpu>\r\n    ReportByCpu true\r\n    ReportByState true\r\n    ValuesPercentage true\r\n    ReportNumCpu false\r\n    ReportGuestState false\r\n    SubtractGuestState true\r\n  </Plugin>\r\n\r\nLoadPlugin write_prometheus\r\n  <Plugin write_prometheus>\r\n    Port \"9103\"\r\n    Host \"0.0.0.0\"\r\n  </Plugin>\r\n```","collectorPluginList":"CPU plugin, Apple Sensors plugin, DF plugin, Disk plugin, Interface plugin, Load plugin, Memory plugin, Processes plugin, Protocols plugin, Sensors plugin, Swap plugin, Uptime plugin, Users plugin","datasource":"Prometheus","privacy":"public","createdAt":"2025-07-03T18:19:08.000Z","updatedAt":"2025-11-05T06:25:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23643"},{"rel":"revisions","href":"/dashboards/23643/revisions"},{"rel":"revision","href":"/dashboards/23643/revisions/3"},{"rel":"download","href":"/dashboards/23643/revisions/3/download"},{"rel":"org","href":"/orgs/tmskln"},{"rel":"images","href":"/dashboards/23643/images"},{"rel":"thumbnails","href":"/dashboards/23643/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12715,"status":1,"statusCode":"active","orgId":400034,"orgSlug":"samer","orgName":"samer","slug":"server-overview","downloads":408,"revisionId":18288,"revision":1,"name":"Server overview-sa","description":"samer","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-07-27T11:15:38.000Z","updatedAt":"2020-07-27T11:15:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12715"},{"rel":"revisions","href":"/dashboards/12715/revisions"},{"rel":"revision","href":"/dashboards/12715/revisions/1"},{"rel":"download","href":"/dashboards/12715/revisions/1/download"},{"rel":"org","href":"/orgs/samer"},{"rel":"images","href":"/dashboards/12715/images"},{"rel":"thumbnails","href":"/dashboards/12715/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12711,"status":1,"statusCode":"active","orgId":400034,"orgSlug":"samer","orgName":"samer","slug":"server-overview","downloads":316,"revisionId":18280,"revision":1,"name":"Server overview-sam","description":"test test","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2020-07-27T08:46:44.000Z","updatedAt":"2020-07-27T08:48:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12711"},{"rel":"revisions","href":"/dashboards/12711/revisions"},{"rel":"revision","href":"/dashboards/12711/revisions/1"},{"rel":"download","href":"/dashboards/12711/revisions/1/download"},{"rel":"org","href":"/orgs/samer"},{"rel":"images","href":"/dashboards/12711/images"},{"rel":"thumbnails","href":"/dashboards/12711/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":11015,"status":1,"statusCode":"active","orgId":302215,"orgSlug":"skylord123","orgName":"skylord123","slug":"server-power-usage","downloads":643,"revisionId":15400,"revision":1,"name":"Server Power Usage PowerEdge r710","description":"Dashboard for viewing your PowerEdge r710 usgae over time. Should also work with other systems using the iDRAC6 that expose the same information over IPMI.\nRequires Influxdb, Telegraf, and a supported system.","readme":"Server Power Usage\n-------------------------\nDashboard for viewing your PowerEdge r710 usgae over time. Should also work with other systems using the iDRAC6 that expose the same information.\nRequires Influxdb, Telegraf, and a supported system.\n\nThe boxes on the right will break down the total usage and cost over the selction, lasr 24 hours, last week, and last 30 days. This makes it easy to see the costs over time.\n\nSetup\n-----------------------\nI created a post explaining how to set this up here: [https://skylar.tech/graphing-poweredge-r710-power/](https://skylar.tech/graphing-poweredge-r710-power/) \n\n","collectorType":"Telegraf","collectorConfig":"Here is an example of the telegraf config (view my post [here](https://skylar.tech/graphing-poweredge-r710-power/)  for more information):\n```\n# # Read metrics from the bare metal servers via IPMI\n [[inputs.ipmi_sensor]]\n   ## optionally specify the path to the ipmitool executable\n   # path = \"/usr/bin/ipmitool\"\n   ##\n   ## optionally force session privilege level. Can be CALLBACK, USER, OPERATOR, ADMINISTRATOR\n   # privilege = \"ADMINISTRATOR\"\n   ##\n   ## optionally specify one or more servers via a url matching\n   ##  [username[:password]@][protocol[(address)]]\n   ##  e.g.\n   ##    root:passwd@lan(127.0.0.1)\n   ##\n   ## if no servers are specified, local machine sensor stats will be queried\n   ##\n   servers = [\"username:password@lanplus(192.168.1.11)\"]\n\n   ## Recommended: use metric 'interval' that is a multiple of 'timeout' to avoid\n   ## gaps or overlap in pulled data\n   interval = \"30s\"\n\n   ## Timeout for the ipmitool command to complete\n   timeout = \"20s\"\n```","collectorPluginList":"ipmi_sensor","datasource":"InfluxDB","privacy":"public","createdAt":"2019-10-19T08:23:18.000Z","updatedAt":"2019-10-19T08:48:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/11015"},{"rel":"revisions","href":"/dashboards/11015/revisions"},{"rel":"revision","href":"/dashboards/11015/revisions/1"},{"rel":"download","href":"/dashboards/11015/revisions/1/download"},{"rel":"org","href":"/orgs/skylord123"},{"rel":"images","href":"/dashboards/11015/images"},{"rel":"thumbnails","href":"/dashboards/11015/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20165,"status":1,"statusCode":"active","orgId":262655,"orgSlug":"webmaster1989","orgName":"webmaster1989","slug":"server-stats","downloads":1179,"revisionId":40439,"revision":3,"name":"Server stats","description":"All the info you need of your Linux server using Telegraf, InfluxDB and of course Grafana!","readme":"I use this dashboard as my main Grafana dashboard for monitoring my server and Linux machine. You do need Telegraf & InfluxDB.\r\n\r\nI recently also try to use Grafana Live in some places, which shows real-time data (Grafana Live is WIP for me, but also for Grafana itself).\r\n\r\nMy `/etc/telegraf/telegraf.conf` file:\r\n\r\n```conf\r\n# Configuration for telegraf agent\r\n[agent]\r\n  ## Default data collection interval for all inputs\r\n  interval = \"10s\"\r\n  ## Rounds collection interval to 'interval'\r\n  ## ie, if interval=\"10s\" then always collect on :00, :10, :20, etc.\r\n  round_interval = true\r\n\r\n  ## Telegraf will send metrics to outputs in batches of at most\r\n  ## metric_batch_size metrics.\r\n  ## This controls the size of writes that Telegraf sends to output plugins.\r\n  metric_batch_size = 1000\r\n\r\n  ## Maximum number of unwritten metrics per output.  Increasing this value\r\n  ## allows for longer periods of output downtime without dropping metrics at the\r\n  ## cost of higher maximum memory usage.\r\n  metric_buffer_limit = 10000\r\n\r\n  ## Collection jitter is used to jitter the collection by a random amount.\r\n  ## Each plugin will sleep for a random time within jitter before collecting.\r\n  ## This can be used to avoid many plugins querying things like sysfs at the\r\n  ## same time, which can have a measurable effect on the system.\r\n  collection_jitter = \"2s\"\r\n\r\n  ## Collection offset is used to shift the collection by the given amount.\r\n  ## This can be be used to avoid many plugins querying constraint devices\r\n  ## at the same time by manually scheduling them in time.\r\n  # collection_offset = \"0s\"\r\n\r\n  ## Default flushing interval for all outputs. Maximum flush_interval will be\r\n  ## flush_interval + flush_jitter\r\n  flush_interval = \"10s\"\r\n  ## Jitter the flush interval by a random amount. This is primarily to avoid\r\n  ## large write spikes for users running a large number of telegraf instances.\r\n  ## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s\r\n  flush_jitter = \"2s\"\r\n\r\n  ## Collected metrics are rounded to the precision specified. Precision is\r\n  ## specified as an interval with an integer + unit (e.g. 0s, 10ms, 2us, 4s).\r\n  ## Valid time units are \"ns\", \"us\" (or \"µs\"), \"ms\", \"s\".\r\n  ##\r\n  ## By default or when set to \"0s\", precision will be set to the same\r\n  ## timestamp order as the collection interval, with the maximum being 1s:\r\n  ##   ie, when interval = \"10s\", precision will be \"1s\"\r\n  ##       when interval = \"250ms\", precision will be \"1ms\"\r\n  ##\r\n  ## Precision will NOT be used for service inputs. It is up to each individual\r\n  ## service input to set the timestamp at the appropriate precision.\r\n  precision = \"0s\"\r\n\r\n  ## Override default hostname, if empty use os.Hostname()\r\n  hostname = \"\"\r\n  ## If set to true, do no set the \"host\" tag in the telegraf agent.\r\n  omit_hostname = false\r\n\r\n###############################################################################\r\n#                            OUTPUT PLUGINS                                   #\r\n###############################################################################\r\n\r\n\r\n# # Configuration for sending metrics to InfluxDB\r\n[[outputs.influxdb]]\r\n#   ## The full HTTP or UDP URL for your InfluxDB instance.\r\n#   ##\r\n#   ## Multiple URLs can be specified for a single cluster, only ONE of the\r\n#   ## urls will be written to each interval.\r\n#   # urls = [\"unix:///var/run/influxdb.sock\"]\r\n#   # urls = [\"udp://127.0.0.1:8089\"]\r\n    urls = [\"unix:///var/run/influxdb/influxdb.sock\"]\r\n\r\n# # A plugin that can transmit metrics over WebSocket.\r\n[[outputs.websocket]]\r\n  flush_interval = \"500ms\"\r\n  url = \"ws://localhost:3002/api/live/push/telegraf\"\r\n  data_format = \"influx\"\r\n  [outputs.websocket.headers]\r\n    Authorization = \"Bearer secret-token\"\r\n\r\n\r\n###############################################################################\r\n#                            INPUT PLUGINS                                    #\r\n###############################################################################\r\n\r\n\r\n# Read metrics about cpu usage\r\n[[inputs.cpu]]\r\n  ## Whether to report per-cpu stats or not\r\n  percpu = true\r\n  ## Whether to report total system cpu stats or not\r\n  totalcpu = true\r\n  ## If true, collect raw CPU time metrics\r\n  collect_cpu_time = false\r\n  ## If true, compute and report the sum of all non-idle CPU states\r\n  ## NOTE: The resulting 'time_active' field INCLUDES 'iowait'!\r\n  report_active = false\r\n  ## If true and the info is available then add core_id and physical_id tags\r\n  core_tags = false\r\n\r\n\r\n# Read metrics about disk usage by mount point\r\n[[inputs.disk]]\r\n  ## By default stats will be gathered for all mount points.\r\n  ## Set mount_points will restrict the stats to only the specified mount points.\r\n  # mount_points = [\"/\"]\r\n\r\n  ## Ignore mount points by filesystem type.\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\r\n\r\n  ## Ignore mount points by mount options.\r\n  ## The 'mount' command reports options of all mounts in parathesis.\r\n  ## Bind mounts can be ignored with the special 'bind' option.\r\n  # ignore_mount_opts = []\r\n\r\n\r\n# Read metrics about disk IO by device\r\n[[inputs.diskio]]\r\n  ## By default, telegraf will gather stats for all devices including\r\n  ## disk partitions.\r\n\r\n# Plugin to collect various Linux kernel statistics.\r\n# This plugin ONLY supports Linux\r\n[[inputs.kernel]]\r\n  ## Additional gather options\r\n  ## Possible options include:\r\n  ## * ksm - kernel same-page merging\r\n  # collect = []\r\n\r\n\r\n# Read metrics about memory usage\r\n[[inputs.mem]]\r\n  # no configuration\r\n\r\n\r\n# Get the number of processes and group them by status\r\n# This plugin ONLY supports non-Windows\r\n[[inputs.processes]]\r\n  ## Use sudo to run ps command on *BSD systems. Linux systems will read\r\n  ## /proc, so this does not apply there.\r\n  # use_sudo = false\r\n\r\n\r\n# Read metrics about swap memory usage\r\n# This plugin ONLY supports Linux\r\n[[inputs.swap]]\r\n  # no configuration\r\n\r\n\r\n# Read metrics about system load & uptime\r\n[[inputs.system]]\r\n  # no configuration\r\n\r\n# # Query given DNS server and gives statistics\r\n[[inputs.dns_query]]\r\n#   ## servers to query\r\n    servers = [\"8.8.8.8\", \"1.1.1.1\"]\r\n\r\n# # Read metrics about docker containers\r\n[[inputs.docker]]\r\n#   ## Docker Endpoint\r\n#   ##   To use TCP, set endpoint = \"tcp://[ip]:[port]\"\r\n#   ##   To use environment variables (ie, docker-machine), set endpoint = \"ENV\"\r\n    endpoint = \"unix:///var/run/docker.sock\"\r\n\r\n# # HTTP/HTTPS request given an address a method and a timeout\r\n[[inputs.http_response]]\r\n#   ## List of urls to query.\r\n    urls = [\"https://google.com\", \"https://yahoo.com\"]\r\n#\r\n#   ## Set http_proxy.\r\n#   ## Telegraf uses the system wide proxy settings if it's is not set.\r\n#   # http_proxy = \"http://localhost:8888\"\r\n#\r\n#   ## Set response_timeout (default 5 seconds)\r\n#   # response_timeout = \"5s\"\r\n#\r\n#   ## HTTP Request Method\r\n#   # method = \"GET\"\r\n#\r\n#   ## Whether to follow redirects from the server (defaults to false)\r\n    follow_redirects = true\r\n\r\n\r\n# # Collect statistics about itself\r\n[[inputs.internal]]\r\n#   ## If true, collect telegraf memory stats.\r\n#   # collect_memstats = true\r\n#\r\n#   ## If true, collect metrics from Go's runtime.metrics. For a full list see:\r\n#   ##   https://pkg.go.dev/runtime/metrics\r\n#   # collect_gostats = false\r\n\r\n\r\n# # This plugin gathers interrupts data from /proc/interrupts and /proc/softirqs.\r\n[[inputs.interrupts]]\r\n#   ## When set to true, cpu metrics are tagged with the cpu.  Otherwise cpu is\r\n#   ## stored as a field.\r\n#   ##\r\n#   ## The default is false for backwards compatibility, and will be changed to\r\n#   ## true in a future version.  It is recommended to set to true on new\r\n#   ## deployments.\r\n#   # cpu_as_tag = false\r\n#\r\n#   ## To filter which IRQs to collect, make use of tagpass / tagdrop, i.e.\r\n#   # [inputs.interrupts.tagdrop]\r\n#   #   irq = [ \"NET_RX\", \"TASKLET\" ]\r\n\r\n\r\n# # Get kernel statistics from /proc/vmstat\r\n# # This plugin ONLY supports Linux\r\n[[inputs.kernel_vmstat]]\r\n#   # no configuration\r\n\r\n# # Provides Linux sysctl fs metrics\r\n[[inputs.linux_sysctl_fs]]\r\n#   # no configuration\r\n\r\n\r\n# # Get kernel statistics from /proc/mdstat\r\n# # This plugin ONLY supports Linux\r\n[[inputs.mdstat]]\r\n#   ## Sets file path\r\n#   ## If not specified, then default is /proc/mdstat\r\n#   # file_name = \"/proc/mdstat\"\r\n\r\n# # Gather metrics about network interfaces\r\n[[inputs.net]]\r\n#   ## By default, telegraf gathers stats from any up interface (excluding loopback)\r\n#   ## Setting interfaces will tell it to gather these explicit interfaces,\r\n#   ## regardless of status. When specifying an interface, glob-style\r\n#   ## patterns are also supported.\r\n#   ##\r\n#   # interfaces = [\"eth*\", \"enp0s[0-1]\", \"lo\"]\r\n#   ##\r\n#   ## On linux systems telegraf also collects protocol stats.\r\n#   ## Setting ignore_protocol_stats to true will skip reporting of protocol metrics.\r\n#   ##\r\n#   ## DEPRECATION NOTICE: A value of 'false' is deprecated and discouraged!\r\n#   ##                     Please set this to `true` and use the 'inputs.nstat'\r\n#   ##                     plugin instead.\r\n#   # ignore_protocol_stats = false\r\n\r\n# # Read TCP metrics such as established, time wait and sockets counts.\r\n[[inputs.netstat]]\r\n#   # no configuration\r\n\r\n\r\n# # Read Nginx's basic status information (ngx_http_stub_status_module)\r\n[[inputs.nginx]]\r\n#   ## An array of Nginx stub_status URI to gather stats.\r\n    urls = [\"https://localhost/server_status\"]\r\n#\r\n#   ## Optional TLS Config\r\n#   # tls_ca = \"/etc/telegraf/ca.pem\"\r\n#   # tls_cert = \"/etc/telegraf/cert.pem\"\r\n#   # tls_key = \"/etc/telegraf/key.pem\"\r\n#   ## Use TLS but skip chain & host verification\r\n#   # insecure_skip_verify = false\r\n#\r\n#   ## HTTP response timeout (default: 5s)\r\n#   response_timeout = \"5s\"\r\n\r\n\r\n# # Collect kernel snmp counters and network interface statistics\r\n[[inputs.nstat]]\r\n#   ## file paths for proc files. If empty default paths will be used:\r\n#   ##    /proc/net/netstat, /proc/net/snmp, /proc/net/snmp6\r\n#   ## These can also be overridden with env variables, see README.\r\n#   proc_net_netstat = \"/proc/net/netstat\"\r\n#   proc_net_snmp = \"/proc/net/snmp\"\r\n#   proc_net_snmp6 = \"/proc/net/snmp6\"\r\n#   ## dump metrics with 0 values too\r\n#   dump_zeros       = true\r\n\r\n# # Ping given url(s) and return statistics\r\n[[inputs.ping]]\r\n#   ## Hosts to send ping packets to.\r\n    urls = [\"google.com\", \"yahoo.com\", \"1.1.1.1\"]\r\n#\r\n#   ## Method used for sending pings, can be either \"exec\" or \"native\".  When set\r\n#   ## to \"exec\" the systems ping command will be executed.  When set to \"native\"\r\n#   ## the plugin will send pings directly.\r\n#   ##\r\n#   ## While the default is \"exec\" for backwards compatibility, new deployments\r\n#   ## are encouraged to use the \"native\" method for improved compatibility and\r\n#   ## performance.\r\n#   # method = \"exec\"\r\n#\r\n#   ## Number of ping packets to send per interval.  Corresponds to the \"-c\"\r\n#   ## option of the ping command.\r\n#   # count = 1\r\n#\r\n#   ## Time to wait between sending ping packets in seconds.  Operates like the\r\n#   ## \"-i\" option of the ping command.\r\n    ping_interval = 5.0\r\n#\r\n#   ## If set, the time to wait for a ping response in seconds.  Operates like\r\n#   ## the \"-W\" option of the ping command.\r\n#   # timeout = 1.0\r\n#\r\n#   ## If set, the total ping deadline, in seconds.  Operates like the -w option\r\n#   ## of the ping command.\r\n#   # deadline = 10\r\n#\r\n#   ## Interface or source address to send ping from.  Operates like the -I or -S\r\n#   ## option of the ping command.\r\n#   # interface = \"\"\r\n#\r\n#   ## Percentiles to calculate. This only works with the native method.\r\n#   # percentiles = [50, 95, 99]\r\n#\r\n#   ## Specify the ping executable binary.\r\n#   # binary = \"ping\"\r\n#\r\n#   ## Arguments for ping command. When arguments is not empty, the command from\r\n#   ## the binary option will be used and other options (ping_interval, timeout,\r\n#   ## etc) will be ignored.\r\n#   # arguments = [\"-c\", \"3\"]\r\n#\r\n#   ## Use only IPv6 addresses when resolving a hostname.\r\n#   # ipv6 = false\r\n#\r\n#   ## Number of data bytes to be sent. Corresponds to the \"-s\"\r\n#   ## option of the ping command. This only works with the native method.\r\n#   # size = 56\r\n```","collectorType":"Telegraf","collectorConfig":"```\r\n# Configuration for telegraf agent\r\n[agent]\r\n  ## Default data collection interval for all inputs\r\n  interval = \"10s\"\r\n  ## Rounds collection interval to 'interval'\r\n  ## ie, if interval=\"10s\" then always collect on :00, :10, :20, etc.\r\n  round_interval = true\r\n\r\n  ## Telegraf will send metrics to outputs in batches of at most\r\n  ## metric_batch_size metrics.\r\n  ## This controls the size of writes that Telegraf sends to output plugins.\r\n  metric_batch_size = 1000\r\n\r\n  ## Maximum number of unwritten metrics per output.  Increasing this value\r\n  ## allows for longer periods of output downtime without dropping metrics at the\r\n  ## cost of higher maximum memory usage.\r\n  metric_buffer_limit = 10000\r\n\r\n  ## Collection jitter is used to jitter the collection by a random amount.\r\n  ## Each plugin will sleep for a random time within jitter before collecting.\r\n  ## This can be used to avoid many plugins querying things like sysfs at the\r\n  ## same time, which can have a measurable effect on the system.\r\n  collection_jitter = \"2s\"\r\n\r\n  ## Collection offset is used to shift the collection by the given amount.\r\n  ## This can be be used to avoid many plugins querying constraint devices\r\n  ## at the same time by manually scheduling them in time.\r\n  # collection_offset = \"0s\"\r\n\r\n  ## Default flushing interval for all outputs. Maximum flush_interval will be\r\n  ## flush_interval + flush_jitter\r\n  flush_interval = \"10s\"\r\n  ## Jitter the flush interval by a random amount. This is primarily to avoid\r\n  ## large write spikes for users running a large number of telegraf instances.\r\n  ## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s\r\n  flush_jitter = \"2s\"\r\n\r\n  ## Collected metrics are rounded to the precision specified. Precision is\r\n  ## specified as an interval with an integer + unit (e.g. 0s, 10ms, 2us, 4s).\r\n  ## Valid time units are \"ns\", \"us\" (or \"µs\"), \"ms\", \"s\".\r\n  ##\r\n  ## By default or when set to \"0s\", precision will be set to the same\r\n  ## timestamp order as the collection interval, with the maximum being 1s:\r\n  ##   ie, when interval = \"10s\", precision will be \"1s\"\r\n  ##       when interval = \"250ms\", precision will be \"1ms\"\r\n  ##\r\n  ## Precision will NOT be used for service inputs. It is up to each individual\r\n  ## service input to set the timestamp at the appropriate precision.\r\n  precision = \"0s\"\r\n\r\n  ## Override default hostname, if empty use os.Hostname()\r\n  hostname = \"\"\r\n  ## If set to true, do no set the \"host\" tag in the telegraf agent.\r\n  omit_hostname = false\r\n\r\n###############################################################################\r\n#                            OUTPUT PLUGINS                                   #\r\n###############################################################################\r\n\r\n\r\n# # Configuration for sending metrics to InfluxDB\r\n[[outputs.influxdb]]\r\n#   ## The full HTTP or UDP URL for your InfluxDB instance.\r\n#   ##\r\n#   ## Multiple URLs can be specified for a single cluster, only ONE of the\r\n#   ## urls will be written to each interval.\r\n#   # urls = [\"unix:///var/run/influxdb.sock\"]\r\n#   # urls = [\"udp://127.0.0.1:8089\"]\r\n    urls = [\"unix:///var/run/influxdb/influxdb.sock\"]\r\n\r\n# # A plugin that can transmit metrics over WebSocket.\r\n[[outputs.websocket]]\r\n  flush_interval = \"500ms\"\r\n  url = \"ws://localhost:3002/api/live/push/telegraf\"\r\n  data_format = \"influx\"\r\n  [outputs.websocket.headers]\r\n    Authorization = \"Bearer secret-token\"\r\n\r\n\r\n###############################################################################\r\n#                            INPUT PLUGINS                                    #\r\n###############################################################################\r\n\r\n\r\n# Read metrics about cpu usage\r\n[[inputs.cpu]]\r\n  ## Whether to report per-cpu stats or not\r\n  percpu = true\r\n  ## Whether to report total system cpu stats or not\r\n  totalcpu = true\r\n  ## If true, collect raw CPU time metrics\r\n  collect_cpu_time = false\r\n  ## If true, compute and report the sum of all non-idle CPU states\r\n  ## NOTE: The resulting 'time_active' field INCLUDES 'iowait'!\r\n  report_active = false\r\n  ## If true and the info is available then add core_id and physical_id tags\r\n  core_tags = false\r\n\r\n\r\n# Read metrics about disk usage by mount point\r\n[[inputs.disk]]\r\n  ## By default stats will be gathered for all mount points.\r\n  ## Set mount_points will restrict the stats to only the specified mount points.\r\n  # mount_points = [\"/\"]\r\n\r\n  ## Ignore mount points by filesystem type.\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\r\n\r\n  ## Ignore mount points by mount options.\r\n  ## The 'mount' command reports options of all mounts in parathesis.\r\n  ## Bind mounts can be ignored with the special 'bind' option.\r\n  # ignore_mount_opts = []\r\n\r\n\r\n# Read metrics about disk IO by device\r\n[[inputs.diskio]]\r\n  ## By default, telegraf will gather stats for all devices including\r\n  ## disk partitions.\r\n\r\n# Plugin to collect various Linux kernel statistics.\r\n# This plugin ONLY supports Linux\r\n[[inputs.kernel]]\r\n  ## Additional gather options\r\n  ## Possible options include:\r\n  ## * ksm - kernel same-page merging\r\n  # collect = []\r\n\r\n\r\n# Read metrics about memory usage\r\n[[inputs.mem]]\r\n  # no configuration\r\n\r\n\r\n# Get the number of processes and group them by status\r\n# This plugin ONLY supports non-Windows\r\n[[inputs.processes]]\r\n  ## Use sudo to run ps command on *BSD systems. Linux systems will read\r\n  ## /proc, so this does not apply there.\r\n  # use_sudo = false\r\n\r\n\r\n# Read metrics about swap memory usage\r\n# This plugin ONLY supports Linux\r\n[[inputs.swap]]\r\n  # no configuration\r\n\r\n\r\n# Read metrics about system load & uptime\r\n[[inputs.system]]\r\n  # no configuration\r\n\r\n# # Query given DNS server and gives statistics\r\n[[inputs.dns_query]]\r\n#   ## servers to query\r\n    servers = [\"8.8.8.8\", \"1.1.1.1\"]\r\n\r\n# # Read metrics about docker containers\r\n[[inputs.docker]]\r\n#   ## Docker Endpoint\r\n#   ##   To use TCP, set endpoint = \"tcp://[ip]:[port]\"\r\n#   ##   To use environment variables (ie, docker-machine), set endpoint = \"ENV\"\r\n    endpoint = \"unix:///var/run/docker.sock\"\r\n\r\n# # HTTP/HTTPS request given an address a method and a timeout\r\n[[inputs.http_response]]\r\n#   ## List of urls to query.\r\n    urls = [\"https://google.com\", \"https://yahoo.com\"]\r\n#\r\n#   ## Set http_proxy.\r\n#   ## Telegraf uses the system wide proxy settings if it's is not set.\r\n#   # http_proxy = \"http://localhost:8888\"\r\n#\r\n#   ## Set response_timeout (default 5 seconds)\r\n#   # response_timeout = \"5s\"\r\n#\r\n#   ## HTTP Request Method\r\n#   # method = \"GET\"\r\n#\r\n#   ## Whether to follow redirects from the server (defaults to false)\r\n    follow_redirects = true\r\n\r\n\r\n# # Collect statistics about itself\r\n[[inputs.internal]]\r\n#   ## If true, collect telegraf memory stats.\r\n#   # collect_memstats = true\r\n#\r\n#   ## If true, collect metrics from Go's runtime.metrics. For a full list see:\r\n#   ##   https://pkg.go.dev/runtime/metrics\r\n#   # collect_gostats = false\r\n\r\n\r\n# # This plugin gathers interrupts data from /proc/interrupts and /proc/softirqs.\r\n[[inputs.interrupts]]\r\n#   ## When set to true, cpu metrics are tagged with the cpu.  Otherwise cpu is\r\n#   ## stored as a field.\r\n#   ##\r\n#   ## The default is false for backwards compatibility, and will be changed to\r\n#   ## true in a future version.  It is recommended to set to true on new\r\n#   ## deployments.\r\n#   # cpu_as_tag = false\r\n#\r\n#   ## To filter which IRQs to collect, make use of tagpass / tagdrop, i.e.\r\n#   # [inputs.interrupts.tagdrop]\r\n#   #   irq = [ \"NET_RX\", \"TASKLET\" ]\r\n\r\n\r\n# # Get kernel statistics from /proc/vmstat\r\n# # This plugin ONLY supports Linux\r\n[[inputs.kernel_vmstat]]\r\n#   # no configuration\r\n\r\n# # Provides Linux sysctl fs metrics\r\n[[inputs.linux_sysctl_fs]]\r\n#   # no configuration\r\n\r\n\r\n# # Get kernel statistics from /proc/mdstat\r\n# # This plugin ONLY supports Linux\r\n[[inputs.mdstat]]\r\n#   ## Sets file path\r\n#   ## If not specified, then default is /proc/mdstat\r\n#   # file_name = \"/proc/mdstat\"\r\n\r\n# # Gather metrics about network interfaces\r\n[[inputs.net]]\r\n#   ## By default, telegraf gathers stats from any up interface (excluding loopback)\r\n#   ## Setting interfaces will tell it to gather these explicit interfaces,\r\n#   ## regardless of status. When specifying an interface, glob-style\r\n#   ## patterns are also supported.\r\n#   ##\r\n#   # interfaces = [\"eth*\", \"enp0s[0-1]\", \"lo\"]\r\n#   ##\r\n#   ## On linux systems telegraf also collects protocol stats.\r\n#   ## Setting ignore_protocol_stats to true will skip reporting of protocol metrics.\r\n#   ##\r\n#   ## DEPRECATION NOTICE: A value of 'false' is deprecated and discouraged!\r\n#   ##                     Please set this to `true` and use the 'inputs.nstat'\r\n#   ##                     plugin instead.\r\n#   # ignore_protocol_stats = false\r\n\r\n# # Read TCP metrics such as established, time wait and sockets counts.\r\n[[inputs.netstat]]\r\n#   # no configuration\r\n\r\n\r\n# # Read Nginx's basic status information (ngx_http_stub_status_module)\r\n[[inputs.nginx]]\r\n#   ## An array of Nginx stub_status URI to gather stats.\r\n    urls = [\"https://localhost/server_status\"]\r\n#\r\n#   ## Optional TLS Config\r\n#   # tls_ca = \"/etc/telegraf/ca.pem\"\r\n#   # tls_cert = \"/etc/telegraf/cert.pem\"\r\n#   # tls_key = \"/etc/telegraf/key.pem\"\r\n#   ## Use TLS but skip chain & host verification\r\n#   # insecure_skip_verify = false\r\n#\r\n#   ## HTTP response timeout (default: 5s)\r\n#   response_timeout = \"5s\"\r\n\r\n\r\n# # Collect kernel snmp counters and network interface statistics\r\n[[inputs.nstat]]\r\n#   ## file paths for proc files. If empty default paths will be used:\r\n#   ##    /proc/net/netstat, /proc/net/snmp, /proc/net/snmp6\r\n#   ## These can also be overridden with env variables, see README.\r\n#   proc_net_netstat = \"/proc/net/netstat\"\r\n#   proc_net_snmp = \"/proc/net/snmp\"\r\n#   proc_net_snmp6 = \"/proc/net/snmp6\"\r\n#   ## dump metrics with 0 values too\r\n#   dump_zeros       = true\r\n\r\n# # Ping given url(s) and return statistics\r\n[[inputs.ping]]\r\n#   ## Hosts to send ping packets to.\r\n    urls = [\"google.com\", \"yahoo.com\", \"1.1.1.1\"]\r\n#\r\n#   ## Method used for sending pings, can be either \"exec\" or \"native\".  When set\r\n#   ## to \"exec\" the systems ping command will be executed.  When set to \"native\"\r\n#   ## the plugin will send pings directly.\r\n#   ##\r\n#   ## While the default is \"exec\" for backwards compatibility, new deployments\r\n#   ## are encouraged to use the \"native\" method for improved compatibility and\r\n#   ## performance.\r\n#   # method = \"exec\"\r\n#\r\n#   ## Number of ping packets to send per interval.  Corresponds to the \"-c\"\r\n#   ## option of the ping command.\r\n#   # count = 1\r\n#\r\n#   ## Time to wait between sending ping packets in seconds.  Operates like the\r\n#   ## \"-i\" option of the ping command.\r\n    ping_interval = 5.0\r\n#\r\n#   ## If set, the time to wait for a ping response in seconds.  Operates like\r\n#   ## the \"-W\" option of the ping command.\r\n#   # timeout = 1.0\r\n#\r\n#   ## If set, the total ping deadline, in seconds.  Operates like the -w option\r\n#   ## of the ping command.\r\n#   # deadline = 10\r\n#\r\n#   ## Interface or source address to send ping from.  Operates like the -I or -S\r\n#   ## option of the ping command.\r\n#   # interface = \"\"\r\n#\r\n#   ## Percentiles to calculate. This only works with the native method.\r\n#   # percentiles = [50, 95, 99]\r\n#\r\n#   ## Specify the ping executable binary.\r\n#   # binary = \"ping\"\r\n#\r\n#   ## Arguments for ping command. When arguments is not empty, the command from\r\n#   ## the binary option will be used and other options (ping_interval, timeout,\r\n#   ## etc) will be ignored.\r\n#   # arguments = [\"-c\", \"3\"]\r\n#\r\n#   ## Use only IPv6 addresses when resolving a hostname.\r\n#   # ipv6 = false\r\n#\r\n#   ## Number of data bytes to be sent. Corresponds to the \"-s\"\r\n#   ## option of the ping command. This only works with the native method.\r\n#   # size = 56\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-12-16T23:38:49.000Z","updatedAt":"2026-04-10T20:44:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20165"},{"rel":"revisions","href":"/dashboards/20165/revisions"},{"rel":"revision","href":"/dashboards/20165/revisions/3"},{"rel":"download","href":"/dashboards/20165/revisions/3/download"},{"rel":"org","href":"/orgs/webmaster1989"},{"rel":"images","href":"/dashboards/20165/images"},{"rel":"thumbnails","href":"/dashboards/20165/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21989,"status":1,"statusCode":"active","orgId":262655,"orgSlug":"webmaster1989","orgName":"webmaster1989","slug":"server-stats","downloads":479,"revisionId":40435,"revision":3,"name":"Server stats","description":"All the info you need of your Linux server using Telegraf, InfluxDB and of course Grafana!","readme":"My main go-to Grafana dashboard for my Ubuntu server. A full featured dashboard showing you all the information you ever want to know about your GNU/Linux server.\r\n\r\nThis dashboard is basically using all the available Telegraf input plugins for monitoring your Linux system. See the collector config for all the details.","collectorType":"Telegraf","collectorConfig":"```\r\n[agent]\r\n  interval = \"10s\"  \r\n  round_interval = true\r\n  \r\n  metric_batch_size = 1000  \r\n  metric_buffer_limit = 10000  \r\n  collection_jitter = \"2s\"  \r\n  flush_interval = \"10s\"\r\n  flush_jitter = \"2s\" \r\n  precision = \"0s\"\r\n  \r\n  hostname = \"\"  \r\n  omit_hostname = false\r\n\r\n\r\n[[outputs.influxdb]]\r\n    urls = [\"unix:///var/run/influxdb/influxdb.sock\"]\r\n\r\n[[outputs.websocket]]\r\n  flush_interval = \"1s\"\r\n  url = \"ws://localhost:3002/api/live/push/telegraf\"\r\n  data_format = \"influx\"\r\n  [outputs.websocket.headers]\r\n    Authorization = \"Bearer secret\"\r\n\r\n[[inputs.cpu]]  \r\n  percpu = true\r\n  totalcpu = true \r\n  collect_cpu_time = false  \r\n  report_active = false  \r\n  core_tags = false\r\n\r\n\r\n[[inputs.disk]]\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\r\n\r\n[[inputs.diskio]]\r\n\r\n[[inputs.kernel]]\r\n\r\n[[inputs.mem]]\r\n\r\n[[inputs.processes]]\r\n\r\n[[inputs.swap]]\r\n  \r\n[[inputs.system]]\r\n  \r\n[[inputs.dns_query]]\r\n    servers = [\"8.8.8.8\", \"1.1.1.1\"]\r\n\r\n[[inputs.docker]]\r\n    endpoint = \"unix:///var/run/docker.sock\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c nginx\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  data_type = \"integer\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"Nginx\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c -u redis redis-server\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"Redis\"\r\n\r\n[[inputs.exec]]\r\n  commands = [\"pgrep -c -u postgres postgres\"]\r\n  name_override = \"nr_processes\"\r\n  data_format = \"value\"\r\n  interval = \"5m\"\r\n  [inputs.exec.tags]\r\n    instance = \"PostgreSQL\"\r\n\r\n\r\n[[inputs.http_response]]\r\n    urls = [\"https://google.com\", \"https://yahoo.com\"]\r\n    response_timeout = \"10s\"\r\n    follow_redirects = true\r\n\r\n[[inputs.internal]]\r\n\r\n[[inputs.interrupts]]\r\n\r\n[[inputs.kernel_vmstat]]\r\n\r\n[[inputs.linux_sysctl_fs]]\r\n\r\n[[inputs.mdstat]]\r\n\r\n[[inputs.net]]\r\n    ignore_protocol_stats = true\r\n\r\n[[inputs.netstat]]\r\n\r\n[[inputs.nstat]]\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-09-28T12:33:09.000Z","updatedAt":"2026-04-10T20:38:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21989"},{"rel":"revisions","href":"/dashboards/21989/revisions"},{"rel":"revision","href":"/dashboards/21989/revisions/3"},{"rel":"download","href":"/dashboards/21989/revisions/3/download"},{"rel":"org","href":"/orgs/webmaster1989"},{"rel":"images","href":"/dashboards/21989/images"},{"rel":"thumbnails","href":"/dashboards/21989/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9895,"status":1,"statusCode":"active","orgId":239156,"orgSlug":"hadock","orgName":"hadock","slug":"server-status","downloads":1431,"revisionId":13789,"revision":1,"name":"Server Status","description":"PROMETHEUS DASHBOARD\nInclude : \nhttp 200; 300; 400; 500\ncpu usage and overall cpu utilization filter (clik + ctrl for multiple select)\nload average\ndisk write/read\nnetwork in/out\nhost choice\ninterval choice\nflat color !\nand some informations in the top left corner of certain graph","readme":"# PROMETHEUS DASHBOARD\n\n## Include : \n\n- http 200; 300; 400; 500\n- cpu usage and overall cpu utilization filter (clik + ctrl for multiple select)\n- load average\n- disk write/read\n- network in/out\n- host choice\n- interval choice\n- flat color !\n- and some informations in the top left corner of certain graph\n---\n## install promotheus\n\n**[change the version](https://prometheus.io/download/)**\n\n```\nsudo useradd --no-create-home --shell /bin/false prometheus\nsudo mkdir /etc/prometheus\nsudo mkdir /var/lib/prometheus\nsudo chown prometheus:prometheus /etc/prometheus\nsudo chown prometheus:prometheus /var/lib/prometheus\n\ncd ~\ncurl -LO https://github.com/prometheus/prometheus/releases/download/v2.0.0/prometheus-2.0.0.linux-amd64.tar.gz\ntar xvf prometheus-2.0.0.linux-amd64.tar.gz\nsudo cp prometheus-2.0.0.linux-amd64/prometheus /usr/local/bin/\nsudo cp prometheus-2.0.0.linux-amd64/promtool /usr/local/bin/\nsudo chown prometheus:prometheus /usr/local/bin/prometheus\nsudo chown prometheus:prometheus /usr/local/bin/promtool\nsudo cp -r prometheus-2.0.0.linux-amd64/consoles /etc/prometheus\nsudo cp -r prometheus-2.0.0.linux-amd64/console_libraries /etc/prometheus\nsudo chown -R prometheus:prometheus /etc/prometheus/consoles\nsudo chown -R prometheus:prometheus /etc/prometheus/console_libraries\nrm -rf prometheus-2.0.0.linux-amd64.tar.gz prometheus-2.0.0.linux-amd64\n\nsudo touch /etc/prometheus/prometheus.yml \nsudo chown prometheus:prometheus /etc/prometheus/prometheus.yml\n\nsudo bash -c 'cat << EOF > /etc/systemd/system/prometheus.service\n[Unit]\nDescription=Prometheus\nWants=network-online.target\nAfter=network-online.target\n\n[Service]\nUser=prometheus\nGroup=prometheus\nType=simple\nExecStart=/usr/local/bin/prometheus \\\n    --config.file /etc/prometheus/prometheus.yml \\\n    --storage.tsdb.path /var/lib/prometheus/ \\\n    --web.console.templates=/etc/prometheus/consoles \\\n    --web.console.libraries=/etc/prometheus/console_libraries\n\n[Install]\nWantedBy=multi-user.target\nEOF'\n```\n\n---\n## install Prometheus node Exporter\n\n**[change the version](https://prometheus.io/download/)**\n\n```\nsudo useradd --no-create-home --shell /bin/false node_exporter\n\ncd ~\ncurl -LO https://github.com/prometheus/node_exporter/releases/download/v0.15.1/node_exporter-0.15.1.linux-amd64.tar.gz\ntar xvf node_exporter-0.15.1.linux-amd64.tar.gz\nsudo cp node_exporter-0.15.1.linux-amd64/node_exporter /usr/local/bin\nsudo chown node_exporter:node_exporter /usr/local/bin/node_exporter\nrm -rf node_exporter-0.15.1.linux-amd64.tar.gz node_exporter-0.15.1.linux-amd64\n\nsudo bash -c 'cat << EOF > /etc/systemd/system/node_exporter.service\n[Unit]\nDescription=Node Exporter\nWants=network-online.target\nAfter=network-online.target\n\n[Service]\nUser=node_exporter\nGroup=node_exporter\nType=simple\nExecStart=/usr/local/bin/node_exporter\n\n[Install]\nWantedBy=multi-user.target\nEOF'\n```\n\n---\n## Configurations Prometheus + Prometheus node Exporter\n\n```\nsudo bash -c 'cat << EOF > /etc/prometheus/prometheus.yml\nglobal:\n  scrape_interval: 15s\n\nscrape_configs:\n  - job_name: 'prometheus'\n    scrape_interval: 5s\n    static_configs:\n      - targets: ['localhost:9090']\n  - job_name: 'node_exporter'\n    scrape_interval: 5s\n    static_configs:\n      - targets: ['localhost:9100']  \nEOF'\n```\n\n---\n## Run Prometheus + Prometheus node Exporter\n\n```\nsudo systemctl daemon-reload\nsudo systemctl start prometheus\nsudo systemctl start node_exporter\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-03-08T23:35:05.000Z","updatedAt":"2019-03-08T23:46:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/9895"},{"rel":"revisions","href":"/dashboards/9895/revisions"},{"rel":"revision","href":"/dashboards/9895/revisions/1"},{"rel":"download","href":"/dashboards/9895/revisions/1/download"},{"rel":"org","href":"/orgs/hadock"},{"rel":"images","href":"/dashboards/9895/images"},{"rel":"thumbnails","href":"/dashboards/9895/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19357,"status":1,"statusCode":"active","orgId":60992,"orgSlug":"itboffin","orgName":"Stephen Renshaw","slug":"server-status","downloads":351,"revisionId":29679,"revision":1,"name":"Server Status","description":"Simply show if a server Windows & Linux is up or down","readme":"I've been looking for a way to replicate a simple up or down dashboard that almost all monitoring tools have by default, I considered using the input.ping or the output.health in someway then it occurred to me to just check for a null value from one of the standard metrics.\r\n\r\nAs Linux and Windows dont appear to share a standard fields i've created two rows and two panels one for each OS.\r\n\r\nI'm using this as my linux query then use the standard options to change the results to boolean on/off  with a value mapping override to show null results as down in red.\r\n\r\nLinux\r\nSELECT last(used) FROM \"mem\" WHERE host =~ /$x_server$/ \r\n\r\nWindows\r\nSELECT mean(\"Available_Bytes\") FROM \"win_mem\" WHERE host =~ /$server$/ \r\n\r\nI'm sure there's a cleaner way to achieve this result, hopefully when i have some time i'll refine this dashboard.","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-08-16T17:55:30.000Z","updatedAt":"2023-08-16T17:57:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19357"},{"rel":"revisions","href":"/dashboards/19357/revisions"},{"rel":"revision","href":"/dashboards/19357/revisions/1"},{"rel":"download","href":"/dashboards/19357/revisions/1/download"},{"rel":"org","href":"/orgs/itboffin"},{"rel":"images","href":"/dashboards/19357/images"},{"rel":"thumbnails","href":"/dashboards/19357/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22787,"status":1,"statusCode":"active","orgId":1338920,"orgSlug":"implec","orgName":"implec GmbH","slug":"monitorwand-1-server","downloads":288,"revisionId":35961,"revision":1,"name":"Server-Dashboard für ConnectWise Automate","description":"Dieses Dashboard bietet eine umfassende Übersicht über die Serverinfrastruktur mit Echtzeit-Monitoring für Gerätezustände, Patch-Compliance, Netzwerkgeräte, Hyper-V Hosts und mehr. Es zeigt kritische Systemzustände und Probleme basierend auf definierbaren Schwellwerten und Filteroptionen.<br>\r\n<br>\r\nHauptfunktionen:<br>\r\n\t•\tInventarisierung: Gesamtanzahl an Servern und Netzwerkgeräten\r\n\t•\tMonitoring: Fehlerhafte Remote- und Internal Monitors\r\n\t•\tFestplattenstatus: Erkennung von zu vollen Festplatten (> $DrivesPercent %)\r\n\t•\tSerververfügbarkeit: Anzeige von Servern, die seit $ServerMinutesOffline Minuten offline sind\r\n\t•\tHyper-V Hosts: Überwachung von Fehlern und Warnungen in der Virtualisierung\r\n\t•\tUptime-Überwachung: Erfassung von Systemen, die länger als $UptimeDays Tage online sind\r\n\r\nVerfügbare Variablen:\r\n\t•\t$Clients – Auswahl der Kunden\r\n\t•\t$Computertyp – Filterung nach Server, Laptop oder Workstation\r\n\t•\t$PatchComplianceDaysOffline – Ausschluss von länger offline befindlichen Systemen aus der Patch-Compliance\r\n\t•\t$PatchCompliancePercent – Anzeige von Systemen unterhalb eines definierten Compliance-Wertes\r\n\t•\t$MonitorSearchString1-3 – Filterung nach bestimmten Monitor-Fehlermeldungen\r\n\t•\t$SnapshotAgeDays – Filterung nach veralteten Snapshots\r\n\r\nDas Dashboard aktualisiert sich alle 5 Sekunden, um eine nahezu Live-Überwachung sicherzustellen.\r\n\r\n\r\n\r\nFür Anregungen sind wir offen und freuen uns über eure Nachricht.\r\n\r\nimplec GmbH / www.implec.de","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2025-02-01T19:03:34.000Z","updatedAt":"2025-02-02T09:32:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22787"},{"rel":"revisions","href":"/dashboards/22787/revisions"},{"rel":"revision","href":"/dashboards/22787/revisions/1"},{"rel":"download","href":"/dashboards/22787/revisions/1/download"},{"rel":"org","href":"/orgs/implec"},{"rel":"images","href":"/dashboards/22787/images"},{"rel":"thumbnails","href":"/dashboards/22787/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":16312,"status":1,"statusCode":"active","orgId":281026,"orgSlug":"gswat","orgName":"gswat","slug":"servers","downloads":292,"revisionId":33635,"revision":3,"name":"Servers","description":"Visualise servers metrics from node exporter","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-05-21T18:29:48.000Z","updatedAt":"2024-07-18T12:14:13.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16312"},{"rel":"revisions","href":"/dashboards/16312/revisions"},{"rel":"revision","href":"/dashboards/16312/revisions/3"},{"rel":"download","href":"/dashboards/16312/revisions/3/download"},{"rel":"org","href":"/orgs/gswat"},{"rel":"images","href":"/dashboards/16312/images"},{"rel":"thumbnails","href":"/dashboards/16312/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21890,"status":1,"statusCode":"active","orgId":1044528,"orgSlug":"smscruzmachado","orgName":"smscruzmachado","slug":"servers","downloads":616,"revisionId":34243,"revision":1,"name":"Servers","description":"Monitoramento de 3 servidores com zabbix","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Zabbix","privacy":"public","createdAt":"2024-09-11T16:50:34.000Z","updatedAt":"2024-09-11T16:54:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21890"},{"rel":"revisions","href":"/dashboards/21890/revisions"},{"rel":"revision","href":"/dashboards/21890/revisions/1"},{"rel":"download","href":"/dashboards/21890/revisions/1/download"},{"rel":"org","href":"/orgs/smscruzmachado"},{"rel":"images","href":"/dashboards/21890/images"},{"rel":"thumbnails","href":"/dashboards/21890/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":11958,"status":1,"statusCode":"active","orgId":362292,"orgSlug":"redno2","orgName":"redno2","slug":"servers-resource-usage-collectd","downloads":1493,"revisionId":16970,"revision":1,"name":"Servers - Resource Usage (Collectd)","description":"CollectD & Graphite Server Metrics Dashboard with CPU, Memory, IO & Disk Stats, Network, NTP, and others ","readme":"This dashboard show you a in one row a short summary of your servers and you can deep dive into metrics organized by row.\r\n\r\nIt's based on \"CollectD Server Metrics by Torkel Ödegaard\" https://grafana.com/grafana/dashboards/24 but was adapted/improved with modifications in every graph.\r\n\r\nGet the collectd setup on https://github.com/redno2/collectd-grafana","collectorType":"collectd","collectorConfig":"","collectorPluginList":"CPU plugin, DF plugin, Disk plugin, Interface plugin, Processes plugin, Memory plugin, Network plugin, Swap plugin, Users plugin, Write Graphite plugin, Uptime plugin","datasource":"Graphite","privacy":"public","createdAt":"2020-03-20T13:59:50.000Z","updatedAt":"2020-03-20T15:07:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11958"},{"rel":"revisions","href":"/dashboards/11958/revisions"},{"rel":"revision","href":"/dashboards/11958/revisions/1"},{"rel":"download","href":"/dashboards/11958/revisions/1/download"},{"rel":"org","href":"/orgs/redno2"},{"rel":"images","href":"/dashboards/11958/images"},{"rel":"thumbnails","href":"/dashboards/11958/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":9750,"status":1,"statusCode":"active","orgId":117883,"orgSlug":"adivinho","orgName":"Vadim","slug":"servers-inventory","downloads":805,"revisionId":13571,"revision":1,"name":"Servers Inventory","description":"The dashboards allows to see amount of monitored servers. 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Summary\nMonitoring service status by check service tcp port via prometheus blackbox exporter\n\n## Dependencies\n- [Prometheus blackbox_exporter v0.16.0](https://github.com/prometheus/blackbox_exporter)\n\n## Configure\nEnsure that the `tcp_connect` module of blackbox_exporter is enabled.\n\n**blackbox.yml**\n```yaml\nmodules:\n  http_2xx:\n    prober: http\n#  http_post_2xx:\n#    prober: http\n#    http:\n#      method: POST\n  tcp_connect:\n    prober: tcp\n```\n\n**Prometheus.yml**\n```yaml\nscrape_configs:\n  - job_name: \"blackbox-83\"\n    metrics_path: /probe\n    params:\n      module: [tcp_connect]\n    file_sd_configs:\n    - files:\n      - \"/opt/prometheus/file_sd/services.yml\"\n    relabel_configs:\n      - source_labels: [__address__]\n        target_label: __param_target\n      - source_labels: [__param_target]\n        target_label: instance\n      - target_label: __address__\n        replacement: 172.20.3.223:9115\n```\n**services.yml**\n```yaml\n- targets:\n  - 172.20.3.83:9600\n  - 172.20.3.84:9600\n  - 172.20.3.85:9600\n  labels:\n    group: catcher\n- targets:\n  - 172.20.3.83:13660\n  labels:\n    group: datahub\n```\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-27T08:34:39.000Z","updatedAt":"2020-03-27T09:00:14.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11992"},{"rel":"revisions","href":"/dashboards/11992/revisions"},{"rel":"revision","href":"/dashboards/11992/revisions/2"},{"rel":"download","href":"/dashboards/11992/revisions/2/download"},{"rel":"org","href":"/orgs/ls25145"},{"rel":"images","href":"/dashboards/11992/images"},{"rel":"thumbnails","href":"/dashboards/11992/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15530,"status":1,"statusCode":"active","orgId":351177,"orgSlug":"michaelviana","orgName":"michaelviana","slug":"servidor-de-aplica-o","downloads":263,"revisionId":23436,"revision":1,"name":"Servidor de aplicação","description":"Servidor de 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Zabbix","description":"Servidores Linux Zabbix","readme":"# Host Monitor\r\n\r\n## Servidores Linux Utilizando Zabbix Agent\r\n\r\nMonitoramento de hosts, serviços e aplicações via Zabbix Agent.\r\n\r\nConfigurado o dashboard do Grafana para monitorar hosts via Zabbix.\r\n\r\nConfigurações do Grafana Dashboard:\r\n - Network\r\n - Memory\r\n - CPU\r\n - Disk I/O\r\n - Utilização de Core CPU\r\n - Usuários Logados\r\n - System process\r\n - Trafego de 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Windows 10, 2012 R y 2016. En Español.\nBasado en: https://grafana.com/grafana/dashboards/10467","readme":"Versiones usadas: Grafana v8.1.2, Prometheus v2.29.1 y Windows Exporter 0.16.0","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-12-17T14:28:37.000Z","updatedAt":"2021-12-17T14:38:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15409"},{"rel":"revisions","href":"/dashboards/15409/revisions"},{"rel":"revision","href":"/dashboards/15409/revisions/1"},{"rel":"download","href":"/dashboards/15409/revisions/1/download"},{"rel":"org","href":"/orgs/mgotte"},{"rel":"images","href":"/dashboards/15409/images"},{"rel":"thumbnails","href":"/dashboards/15409/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18564,"status":1,"statusCode":"active","orgId":193429,"orgSlug":"aerospike","orgName":"Aerospike","slug":"set-dashboard","downloads":793,"revisionId":30639,"revision":4,"name":"Set Dashboard","description":"Set dashboard provides specific set level metrics as well as helping in tracking and setting specific set quotas.","readme":"Set Dashboard, display metrics related to each set in a namespace\r\n\r\nSet dashboard for [Aerospike Monitoring Stack](https://docs.aerospike.com/monitorstack)\r\n\r\nAerospike's Monitoring Stack extracts operational metrics from Aerospike database clusters for visualization and analysis in Prometheus and Grafana.\r\n\r\nSee [Aerospike Monitoring Stack Architecture](https://docs.aerospike.com/monitorstack/new/components-of-monitoring-stack) and [Aerospike Monitoring Stack Installation](https://docs.aerospike.com/monitorstack/new/installing-components) for more details            ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-19T07:50:06.000Z","updatedAt":"2023-11-08T15:11:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18564"},{"rel":"revisions","href":"/dashboards/18564/revisions"},{"rel":"revision","href":"/dashboards/18564/revisions/4"},{"rel":"download","href":"/dashboards/18564/revisions/4/download"},{"rel":"org","href":"/orgs/aerospike"},{"rel":"images","href":"/dashboards/18564/images"},{"rel":"thumbnails","href":"/dashboards/18564/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13444,"status":1,"statusCode":"active","orgId":438765,"orgSlug":"kaustubhkapatral","orgName":"kaustubhkapatral","slug":"setup-overview","downloads":402,"revisionId":19679,"revision":2,"name":"Setup Overview","description":"Displays block height and sync info of validator and sentry nodes on Matic network","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB, Prometheus","privacy":"public","createdAt":"2020-11-21T09:53:57.000Z","updatedAt":"2020-11-27T09:57:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13444"},{"rel":"revisions","href":"/dashboards/13444/revisions"},{"rel":"revision","href":"/dashboards/13444/revisions/2"},{"rel":"download","href":"/dashboards/13444/revisions/2/download"},{"rel":"org","href":"/orgs/kaustubhkapatral"},{"rel":"images","href":"/dashboards/13444/images"},{"rel":"thumbnails","href":"/dashboards/13444/thumbnails"}],"datasourceSlugs":["influxdb","prometheus"]},{"id":15886,"status":1,"statusCode":"active","orgId":591606,"orgSlug":"kreulanrinne","orgName":"kreulanrinne","slug":"seuranta","downloads":263,"revisionId":24086,"revision":1,"name":"seuranta","description":"koti","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-03-13T05:08:14.000Z","updatedAt":"2022-03-13T05:08:50.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15886"},{"rel":"revisions","href":"/dashboards/15886/revisions"},{"rel":"revision","href":"/dashboards/15886/revisions/1"},{"rel":"download","href":"/dashboards/15886/revisions/1/download"},{"rel":"org","href":"/orgs/kreulanrinne"},{"rel":"images","href":"/dashboards/15886/images"},{"rel":"thumbnails","href":"/dashboards/15886/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11146,"status":1,"statusCode":"active","orgId":309232,"orgSlug":"sflow","orgName":"sflow","slug":"sflow-rt-countries-and-networks","downloads":940,"revisionId":29627,"revision":2,"name":"sFlow-RT Countries and Networks","description":"Trend network traffic by source and destination countries and networks","readme":"sFlow-RT Countries and Networks\n---\nThis dashboard trends network traffic by country and network reported by  [sFlow-RT](https://sflow-rt.com) analyzer. The sFlow-RT analysis software collects streaming telemetry from industry standard [sFlow Agents](https://sflow-rt.com/agents.php) embedded in network devices.\n\nUse the [sflow/prometheus](https://hub.docker.com/r/sflow/prometheus) image to run sFlow-RT using Docker:\n```console\ndocker run -d -p 6343:6343/udp -p 8008:8008 sflow/prometheus\n```\nTo enable SNMP to retrieve network device interface and system names, add the following option:\n```console\ndocker run -d -p 6343:6343/udp -p 8008:8008 sflow/prometheus -Dsnmp.ifname=yes\n```\nUse the following [Prometheus](https://prometheus.io/) scrape configuration to collect the metrics from sFlow-RT:\n```console\nscrape_configs:\n  - job_name: 'sflow-rt-analyzer'\n    metrics_path: /prometheus/analyzer/txt\n    static_configs:\n      - targets: ['sflow-rt.mysite.org:8008']\n  - job_name: 'sflow-rt-metrics'\n    metrics_path: /prometheus/metrics/ALL/ALL/txt\n    static_configs:\n      - targets: ['sflow-rt.mysite.org:8008']\n    metric_relabel_configs:\n      - source_labels: ['agent', 'datasource']\n        separator: ':'\n        target_label: instance\n  - job_name: 'sflow-rt-countries'\n    metrics_path: /app/prometheus/scripts/export.js/flows/ALL/txt\n    static_configs:\n      - targets: ['sflow-rt.mysite.org:8008']\n    params:\n      metric: ['sflow_country_bps']\n      key: ['null:[country:ipsource:both]:unknown','null:[country:ipdestination:both]:unknown']\n      label: ['src','dst']\n      value: ['bytes']\n      scale: ['8']\n      aggMode: ['sum']\n      minValue: ['1000']\n      maxFlows: ['100']\n  - job_name: 'sflow-rt-asns'\n    metrics_path: /app/prometheus/scripts/export.js/flows/ALL/txt\n    static_configs:\n      - targets: ['sflow-rt.mysite.org:8008']\n    params:\n      metric: ['sflow_asn_bps']\n      key: ['null:[asn:ipsource:both]:unknown','null:[asn:ipdestination:both]:unknown']\n      label: ['src','dst']\n      value: ['bytes']\n      scale: ['8']\n      aggMode: ['sum']\n      minValue: ['1000']\n      maxFlows: ['100']\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-08T19:13:13.000Z","updatedAt":"2023-08-09T18:30:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11146"},{"rel":"revisions","href":"/dashboards/11146/revisions"},{"rel":"revision","href":"/dashboards/11146/revisions/2"},{"rel":"download","href":"/dashboards/11146/revisions/2/download"},{"rel":"org","href":"/orgs/sflow"},{"rel":"images","href":"/dashboards/11146/images"},{"rel":"thumbnails","href":"/dashboards/11146/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12067,"status":1,"statusCode":"active","orgId":309232,"orgSlug":"sflow","orgName":"sflow","slug":"sflow-rt-ddos-protect","downloads":517,"revisionId":29625,"revision":2,"name":"sFlow-RT DDoS Protect","description":"Trend DDoS attack mitigation actions implemented using BGP Flowspec and RTBH","readme":"sFlow-RT DDoS Protect\r\n---\r\nThis dashboard trends DDoS attack mitigation actions performed by  [sFlow-RT](https://sflow-rt.com) analyzer running the [ddos-protect](https://github.com/sflow-rt/ddos-protect) application. The sFlow-RT analysis software collects streaming telemetry from industry standard [sFlow Agents](https://sflow-rt.com/agents.php) embedded in network devices. The ddos-protect application detects DDoS amplification and flood attacks and automatically mitigates them using BGP Flowspec and RTBH actions.\r\n\r\nUse the [sflow/ddos-protect](https://hub.docker.com/r/sflow/ddos-protect) image to run sFlow-RT using Docker:\r\n```console\r\ndocker run --net=host sflow/ddos-protect -Dddos_protect.router=<ip> -Dddos_protect.as=<ASN>\r\n```\r\nUse the following [Prometheus](https://prometheus.io/) scrape configuration to collect the metrics from sFlow-RT:\r\n```console\r\nscrape_configs:\r\n  - job_name: 'sflow-rt-analyzer'\r\n    metrics_path: /prometheus/analyzer/txt\r\n    static_configs:\r\n      - targets: ['sflow-rt.mysite.org:8008']\r\n  - job_name: 'sflow-rt-metrics'\r\n    metrics_path: /prometheus/metrics/ALL/ALL/txt\r\n    static_configs:\r\n      - targets: ['sflow-rt.mysite.org:8008']\r\n    metric_relabel_configs:\r\n      - source_labels: ['agent', 'datasource']\r\n        separator: ':'\r\n        target_label: instance\r\n  - job_name: 'sflow-rt-ddos'\r\n    metrics_path: /app/ddos-protect/scripts/ddos.js/prometheus/txt\r\n    scheme: http\r\n    static_configs:\r\n      - targets: ['sflow-rt.mysite.org:8008']\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-10T18:16:28.000Z","updatedAt":"2023-08-09T18:29:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12067"},{"rel":"revisions","href":"/dashboards/12067/revisions"},{"rel":"revision","href":"/dashboards/12067/revisions/2"},{"rel":"download","href":"/dashboards/12067/revisions/2/download"},{"rel":"org","href":"/orgs/sflow"},{"rel":"images","href":"/dashboards/12067/images"},{"rel":"thumbnails","href":"/dashboards/12067/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21721,"status":1,"statusCode":"active","orgId":309232,"orgSlug":"sflow","orgName":"sflow","slug":"dropped-packets","downloads":308,"revisionId":33983,"revision":1,"name":"sFlow-RT Dropped Packets","description":"Trend network wide dropped packet notifications.","readme":"This dashboard trends packet drop notifications reported by [sFlow-RT](https://sflow-rt.com) analyzer. The sFlow-RT analysis software collects streaming telemetry from industry standard [sFlow Agents](https://sflow-rt.com/agents.php) embedded in network devices.\r\n\r\nUse the [sflow/prometheus](https://hub.docker.com/r/sflow/prometheus) image to run sFlow-RT using Docker:\r\n```\r\ndocker run -d -p 6343:6343/udp -p 8008:8008 sflow/prometheus\r\n```\r\nTo enable SNMP to retrieve network device interface and system names, add the following option:\r\n```\r\ndocker run -d -p 6343:6343/udp -p 8008:8008 sflow/prometheus -Dsnmp.ifname=yes\r\n```\r\nUse the following [Prometheus](https://prometheus.io/) scrape configuration to collect the metrics from sFlow-RT:\r\n```\r\n  - job_name: sflow-rt-drops\r\n    metrics_path: /app/prometheus/scripts/export.js/flows/ALL/txt\r\n    static_configs:\r\n      - targets: ['sflow-rt:8008']\r\n    params:\r\n      metric: ['dropped_packets']\r\n      key:\r\n        - 'node:inputifindex'\r\n        - 'ifname:inputifindex'\r\n        - 'reason'\r\n        - 'stack'\r\n        - 'macsource'\r\n        - 'macdestination'\r\n        - 'null:vlan:untagged'\r\n        - 'null:[or:ipsource:ip6source]:none'\r\n        - 'null:[or:ipdestination:ip6destination]:none'\r\n        - 'null:[or:icmptype:icmp6type:ipprotocol:ip6nexthdr]:none'\r\n      label:\r\n        - 'switch'\r\n        - 'port'\r\n        - 'reason'\r\n        - 'stack'\r\n        - 'macsource'\r\n        - 'macdestination'\r\n        - 'vlan'\r\n        - 'src'\r\n        - 'dst'\r\n        - 'protocol'\r\n      value: ['frames']\r\n      dropped: ['true']\r\n      maxFlows: ['20']\r\n      minValue: ['0.001']\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-08-16T20:18:25.000Z","updatedAt":"2024-08-16T20:57:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21721"},{"rel":"revisions","href":"/dashboards/21721/revisions"},{"rel":"revision","href":"/dashboards/21721/revisions/1"},{"rel":"download","href":"/dashboards/21721/revisions/1/download"},{"rel":"org","href":"/orgs/sflow"},{"rel":"images","href":"/dashboards/21721/images"},{"rel":"thumbnails","href":"/dashboards/21721/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11096,"status":1,"statusCode":"active","orgId":309232,"orgSlug":"sflow","orgName":"sflow","slug":"sflow-rt-health","downloads":540,"revisionId":29624,"revision":2,"name":"sFlow-RT Health","description":"sFlow-RT analytics engine health metrics","readme":"sFlow-RT\n---\nThis dashboard displays general health metrics for an [sFlow-RT](https://sflow-rt.com) analyzer instance. The sFlow-RT analysis software collects streaming telemetry from industry standard [sFlow Agents](https://sflow-rt.com/agents.php) embedded in network devices or from hosts running the open source [Host sFlow](https://sflow.net/) agent. Use the [sflow/host-sflow](https://hub.docker.com/r/sflow/host-sflow) image to deploy the agent on Docker, Swarm, and Kubernetes clusters.\n\nUse the [sflow/prometheus](https://hub.docker.com/r/sflow/prometheus) image to run sFlow-RT using Docker:\n```console\ndocker run -d -p 6343:6343/udp -p 8008:8008 sflow/prometheus\n```\nTo enable SNMP to retrieve network device interface and system names, add the following option:\n```console\ndocker run -d -p 6343:6343/udp -p 8008:8008 sflow/prometheus -Dsnmp.ifname=yes\n```\nUse the following [Prometheus](https://prometheus.io/) scrape configuration to collect the metrics from sFlow-RT:\n```console\nscrape_configs:\n  - job_name: 'sflow-rt-analyzer'\n    metrics_path: /prometheus/analyzer/txt\n    static_configs:\n      - targets: ['sflow-rt.mysite.org:8008']\n  - job_name: 'sflow-rt-metrics'\n    metrics_path: /prometheus/metrics/ALL/ALL/txt\n    static_configs:\n      - targets: ['sflow-rt.mysite.org:8008']\n    metric_relabel_configs:\n      - source_labels: ['agent', 'datasource']\n        separator: ':'\n        target_label: instance\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-05T17:29:01.000Z","updatedAt":"2023-08-09T18:27:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11096"},{"rel":"revisions","href":"/dashboards/11096/revisions"},{"rel":"revision","href":"/dashboards/11096/revisions/2"},{"rel":"download","href":"/dashboards/11096/revisions/2/download"},{"rel":"org","href":"/orgs/sflow"},{"rel":"images","href":"/dashboards/11096/images"},{"rel":"thumbnails","href":"/dashboards/11096/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19707,"status":1,"statusCode":"active","orgId":309232,"orgSlug":"sflow","orgName":"sflow","slug":"member-traffic-top-n","downloads":314,"revisionId":30246,"revision":1,"name":"sFlow-RT IXP Member Traffic Top N","description":"Internet eXchange Provider member to member traffic","readme":"sFlow-RT IXP Member to Member Traffic\r\n---\r\nThis dashboard trends Internet eXchange Provider (IXP) member to member traffic reported by  [sFlow-RT](https://sflow-rt.com) analyzer running the [ixp-metrics](https://github.com/sflow-rt/ixp-metrics) application. The sFlow-RT analysis software collects streaming telemetry from industry standard [sFlow Agents](https://sflow-rt.com/agents.php) embedded in network devices. \r\n\r\nUse the [sflow/ixp-metrics](https://hub.docker.com/r/sflow/ixp-metrics) image to run sFlow-RT using Docker:\r\n```console\r\ndocker run -v $PWD/store:/sflow-rt/store/ -p 8008:8008 -p 6343:6343/udp sflow/ixp-metrics\r\n```\r\nUse the following [Prometheus](https://prometheus.io/) scrape configuration to collect the metrics from sFlow-RT:\r\n```console\r\nscrape_configs:\r\n  - job_name: sflow-rt-ixp-metrics\r\n    metrics_path: /app/ixp-metrics/scripts/metrics.js/prometheus/txt\r\n    static_configs:\r\n    - targets: ['sflow-rt.mysite.org:8008']\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-10-04T19:59:59.000Z","updatedAt":"2023-10-05T02:46:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19707"},{"rel":"revisions","href":"/dashboards/19707/revisions"},{"rel":"revision","href":"/dashboards/19707/revisions/1"},{"rel":"download","href":"/dashboards/19707/revisions/1/download"},{"rel":"org","href":"/orgs/sflow"},{"rel":"images","href":"/dashboards/19707/images"},{"rel":"thumbnails","href":"/dashboards/19707/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19706,"status":1,"statusCode":"active","orgId":309232,"orgSlug":"sflow","orgName":"sflow","slug":"overall-traffic","downloads":316,"revisionId":30245,"revision":1,"name":"sFlow-RT IXP Overall Traffic","description":"Internet eXchange Provider (IXP) traffic.","readme":"sFlow-RT IXP Overall Traffic\r\n---\r\nThis dashboard trends overall Internet eXchange Provider (IXP) traffic reported by  [sFlow-RT](https://sflow-rt.com) analyzer running the [ixp-metrics](https://github.com/sflow-rt/ixp-metrics) application. The sFlow-RT analysis software collects streaming telemetry from industry standard [sFlow Agents](https://sflow-rt.com/agents.php) embedded in network devices. \r\n\r\nUse the [sflow/ixp-metrics](https://hub.docker.com/r/sflow/ixp-metrics) image to run sFlow-RT using Docker:\r\n```console\r\ndocker run -v $PWD/store:/sflow-rt/store/ -p 8008:8008 -p 6343:6343/udp sflow/ixp-metrics\r\n```\r\nUse the following [Prometheus](https://prometheus.io/) scrape configuration to collect the metrics from sFlow-RT:\r\n```console\r\nscrape_configs:\r\n  - job_name: sflow-rt-ixp-metrics\r\n    metrics_path: /app/ixp-metrics/scripts/metrics.js/prometheus/txt\r\n    static_configs:\r\n    - targets: ['sflow-rt.mysite.org:8008']\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-10-04T18:09:28.000Z","updatedAt":"2023-10-05T02:41:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19706"},{"rel":"revisions","href":"/dashboards/19706/revisions"},{"rel":"revision","href":"/dashboards/19706/revisions/1"},{"rel":"download","href":"/dashboards/19706/revisions/1/download"},{"rel":"org","href":"/orgs/sflow"},{"rel":"images","href":"/dashboards/19706/images"},{"rel":"thumbnails","href":"/dashboards/19706/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19708,"status":1,"statusCode":"active","orgId":309232,"orgSlug":"sflow","orgName":"sflow","slug":"traffic-matrix","downloads":442,"revisionId":30247,"revision":1,"name":"sFlow-RT IXP Traffic Matrix","description":"Internet eXchange Provider member to member traffic matrix","readme":"sFlow-RT IXP Member to Member Traffic Matrix\r\n---\r\nThis dashboard shows Internet eXchange Provider (IXP) member to member traffic matrix reported by  [sFlow-RT](https://sflow-rt.com) analyzer running the [ixp-metrics](https://github.com/sflow-rt/ixp-metrics) application. The sFlow-RT analysis software collects streaming telemetry from industry standard [sFlow Agents](https://sflow-rt.com/agents.php) embedded in network devices. \r\n\r\nUse the [sflow/ixp-metrics](https://hub.docker.com/r/sflow/ixp-metrics) image to run sFlow-RT using Docker:\r\n```console\r\ndocker run -v $PWD/store:/sflow-rt/store/ -p 8008:8008 -p 6343:6343/udp sflow/ixp-metrics\r\n```\r\nUse the following [Prometheus](https://prometheus.io/) scrape configuration to collect the metrics from sFlow-RT:\r\n```console\r\nscrape_configs:\r\n  - job_name: sflow-rt-ixp-metrics\r\n    metrics_path: /app/ixp-metrics/scripts/metrics.js/prometheus/txt\r\n    static_configs:\r\n    - targets: ['sflow-rt.mysite.org:8008']\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-10-04T20:12:06.000Z","updatedAt":"2023-10-05T02:47:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19708"},{"rel":"revisions","href":"/dashboards/19708/revisions"},{"rel":"revision","href":"/dashboards/19708/revisions/1"},{"rel":"download","href":"/dashboards/19708/revisions/1/download"},{"rel":"org","href":"/orgs/sflow"},{"rel":"images","href":"/dashboards/19708/images"},{"rel":"thumbnails","href":"/dashboards/19708/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11201,"status":1,"statusCode":"active","orgId":309232,"orgSlug":"sflow","orgName":"sflow","slug":"sflow-rt-network-interfaces","downloads":922,"revisionId":29628,"revision":2,"name":"sFlow-RT Network Interfaces","description":"Busiest network interfaces based on sFlow telemetry","readme":"sFlow-RT Network Interfaces\n---\nThis dashboard displays busiest network interfaces reported by  [sFlow-RT](https://sflow-rt.com) analyzer. The sFlow-RT analysis software collects streaming telemetry from industry standard [sFlow Agents](https://sflow-rt.com/agents.php) embedded in network devices.\n\nUse the [sflow/prometheus](https://hub.docker.com/r/sflow/prometheus) image to run sFlow-RT using Docker:\n```console\ndocker run -d -p 6343:6343/udp -p 8008:8008 sflow/prometheus\n```\nTo enable SNMP to retrieve network device interface and system names, add the following option:\n```console\ndocker run -d -p 6343:6343/udp -p 8008:8008 sflow/prometheus -Dsnmp.ifname=yes\n```\nUse the following [Prometheus](https://prometheus.io/) scrape configuration to collect the metrics from sFlow-RT:\n```console\nscrape_configs:\n  - job_name: 'sflow-rt-analyzer'\n    metrics_path: /prometheus/analyzer/txt\n    static_configs:\n      - targets: ['sflow-rt.mysite.org:8008']\n  - job_name: 'sflow-rt-metrics'\n    metrics_path: /prometheus/metrics/ALL/ALL/txt\n    static_configs:\n      - targets: ['sflow-rt.mysite.org:8008']\n    metric_relabel_configs:\n      - source_labels: ['agent', 'datasource']\n        separator: ':'\n        target_label: instance\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-15T18:17:44.000Z","updatedAt":"2023-08-09T18:32:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11201"},{"rel":"revisions","href":"/dashboards/11201/revisions"},{"rel":"revision","href":"/dashboards/11201/revisions/2"},{"rel":"download","href":"/dashboards/11201/revisions/2/download"},{"rel":"org","href":"/orgs/sflow"},{"rel":"images","href":"/dashboards/11201/images"},{"rel":"thumbnails","href":"/dashboards/11201/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20502,"status":1,"statusCode":"active","orgId":828364,"orgSlug":"serverforge","orgName":"serverforge","slug":"sflow-analytics","downloads":1234,"revisionId":31680,"revision":1,"name":"sFlow/Netflow Analytics","description":"Flow Analytics with pmacct and ClickHouse","readme":"This dashboard displays flow data stored in ClickHouse from the ServerForge flow-consumer. \r\n\r\nhttps://serverforge.org/flows","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"ClickHouse","privacy":"public","createdAt":"2024-02-18T22:33:42.000Z","updatedAt":"2024-02-18T22:41:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20502"},{"rel":"revisions","href":"/dashboards/20502/revisions"},{"rel":"revision","href":"/dashboards/20502/revisions/1"},{"rel":"download","href":"/dashboards/20502/revisions/1/download"},{"rel":"org","href":"/orgs/serverforge"},{"rel":"images","href":"/dashboards/20502/images"},{"rel":"thumbnails","href":"/dashboards/20502/thumbnails"}],"datasourceSlugs":["grafana-clickhouse-datasource"]},{"id":12828,"status":1,"statusCode":"active","orgId":408485,"orgSlug":"arunvelsriram","orgName":"arunvelsriram","slug":"sftp","downloads":688,"revisionId":21353,"revision":2,"name":"SFTP","description":"Dashboard for Prometheus sftp-exporter","readme":"Dashboard for monitoring SFTP using Prometheus [sftp-exporter](https://github.com/arunvelsriram/sftp-exporter).  It shows the following:\r\n\r\n1. Status (whether the exporter is able to connect to SFTP or not)\r\n2. VFS Stats for the configured paths\r\n3. Total object count and size for the configured paths","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-08-13T18:00:05.000Z","updatedAt":"2021-05-15T12:55:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12828"},{"rel":"revisions","href":"/dashboards/12828/revisions"},{"rel":"revision","href":"/dashboards/12828/revisions/2"},{"rel":"download","href":"/dashboards/12828/revisions/2/download"},{"rel":"org","href":"/orgs/arunvelsriram"},{"rel":"images","href":"/dashboards/12828/images"},{"rel":"thumbnails","href":"/dashboards/12828/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15744,"status":1,"statusCode":"active","orgId":225670,"orgSlug":"billabongrob","orgName":"billabongrob","slug":"sftp-connectivity","downloads":362,"revisionId":23809,"revision":1,"name":"SFTP Connectivity","description":"A dashboard to use with the following SFTP exporter","readme":"This is a dashboard for use with [sftp-exporter](https://github.com/billabongrob/sftp-exporter) \r\n\r\nIt tracks authentication success and transfer time of SFTP bits to be scraped via Prometheus.  ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-02-11T21:48:33.000Z","updatedAt":"2022-02-11T22:02:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15744"},{"rel":"revisions","href":"/dashboards/15744/revisions"},{"rel":"revision","href":"/dashboards/15744/revisions/1"},{"rel":"download","href":"/dashboards/15744/revisions/1/download"},{"rel":"org","href":"/orgs/billabongrob"},{"rel":"images","href":"/dashboards/15744/images"},{"rel":"thumbnails","href":"/dashboards/15744/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25177,"status":1,"statusCode":"active","orgId":1732118,"orgSlug":"sftpgo","orgName":"SFTPGo","slug":"sftpgo-enterprise","downloads":20,"revisionId":40503,"revision":1,"name":"SFTPGo Enterprise","description":"Monitor SFTPGo Enterprise file transfer activity, per-user metrics, authentication, storage backend operations, and process health via Prometheus.","readme":"# SFTPGo Enterprise - Grafana Dashboard\r\n\r\nOfficial Grafana dashboard for monitoring SFTPGo Enterprise via Prometheus.\r\n\r\n## Panels\r\n\r\n- **Service Health** — data provider status, active connections, uptime\r\n- **Transfer Activity** — upload/download rates, bandwidth, errors\r\n- **Authentication** — login success/failure rates by method\r\n- **Filesystem Operations** — rename, delete, copy, mkdir rates\r\n- **Per-User Activity** — top users by bandwidth, sessions, errors, failed logins\r\n- **Storage Backends** — per-backend transfers, bandwidth, metadata ops (S3, GCS, Azure Blob)\r\n- **Process Internals** — memory, CPU, file descriptors\r\n\r\nSee the [SFTPGo metrics documentation](https://docs.sftpgo.com/enterprise/metrics/) for the full metric reference.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-14T18:51:39.000Z","updatedAt":"2026-04-16T13:31:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25177"},{"rel":"revisions","href":"/dashboards/25177/revisions"},{"rel":"revision","href":"/dashboards/25177/revisions/1"},{"rel":"download","href":"/dashboards/25177/revisions/1/download"},{"rel":"org","href":"/orgs/sftpgo"},{"rel":"images","href":"/dashboards/25177/images"},{"rel":"thumbnails","href":"/dashboards/25177/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22521,"status":1,"statusCode":"active","orgId":664848,"orgSlug":"clementhorowitz","orgName":"clementhorowitz","slug":"sftpgogogo","downloads":402,"revisionId":35415,"revision":1,"name":"SFTPGOGOGO","description":"SFTPGO dashboard metrics type sftpgo\r\nhttps://sftpgo.com/","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-12-13T13:48:13.000Z","updatedAt":"2024-12-13T16:34:01.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22521"},{"rel":"revisions","href":"/dashboards/22521/revisions"},{"rel":"revision","href":"/dashboards/22521/revisions/1"},{"rel":"download","href":"/dashboards/22521/revisions/1/download"},{"rel":"org","href":"/orgs/clementhorowitz"},{"rel":"images","href":"/dashboards/22521/images"},{"rel":"thumbnails","href":"/dashboards/22521/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24314,"status":1,"statusCode":"active","orgId":609923,"orgSlug":"sgnl","orgName":"sgnl","slug":"sgnl-access-performance-dashboard","downloads":585,"revisionId":38902,"revision":4,"name":"SGNL Access Performance Dashboard","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2025-10-30T19:24:55.000Z","updatedAt":"2025-11-03T17:53:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24314"},{"rel":"revisions","href":"/dashboards/24314/revisions"},{"rel":"revision","href":"/dashboards/24314/revisions/4"},{"rel":"download","href":"/dashboards/24314/revisions/4/download"},{"rel":"org","href":"/orgs/sgnl"},{"rel":"images","href":"/dashboards/24314/images"},{"rel":"thumbnails","href":"/dashboards/24314/thumbnails"}],"datasourceSlugs":["loki"]},{"id":16736,"status":1,"statusCode":"active","orgId":695507,"orgSlug":"sharydev","orgName":"sharydev","slug":"shahroz","downloads":261,"revisionId":25664,"revision":1,"name":"shahroz","description":"This is for test","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2022-08-19T00:41:39.000Z","updatedAt":"2022-08-19T00:43:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16736"},{"rel":"revisions","href":"/dashboards/16736/revisions"},{"rel":"revision","href":"/dashboards/16736/revisions/1"},{"rel":"download","href":"/dashboards/16736/revisions/1/download"},{"rel":"org","href":"/orgs/sharydev"},{"rel":"images","href":"/dashboards/16736/images"},{"rel":"thumbnails","href":"/dashboards/16736/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":24911,"status":1,"statusCode":"active","orgId":1676451,"orgSlug":"heiko78","orgName":"heiko78","slug":"shelly-3em","downloads":17,"revisionId":39992,"revision":1,"name":"Shelly 3EM","description":"PV Shelly 3","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"Sensors plugin","datasource":"InfluxDB","privacy":"public","createdAt":"2026-02-21T18:14:34.000Z","updatedAt":"2026-02-21T18:19:47.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24911"},{"rel":"revisions","href":"/dashboards/24911/revisions"},{"rel":"revision","href":"/dashboards/24911/revisions/1"},{"rel":"download","href":"/dashboards/24911/revisions/1/download"},{"rel":"org","href":"/orgs/heiko78"},{"rel":"images","href":"/dashboards/24911/images"},{"rel":"thumbnails","href":"/dashboards/24911/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24363,"status":1,"statusCode":"active","orgId":909924,"orgSlug":"mapanarelabs","orgName":"mapanarelabs","slug":"shelly-plug-monitoring-dashboard","downloads":76,"revisionId":39083,"revision":2,"name":"Shelly Plug Monitoring Dashboard","description":"A comprehensive Grafana dashboard for monitoring Shelly Plug devices using the shellyplug-exporter.","readme":"","collectorType":"nodeExporter","collectorConfig":"# Shelly Plug Monitoring Dashboard\r\n\r\nA comprehensive Grafana dashboard for monitoring Shelly Plug devices using the [shellyplug-exporter](https://github.com/d1ceward/shellyplug-exporter).\r\n\r\n![Dashboard Version](https://img.shields.io/badge/version-1.0.0-blue)\r\n![Grafana](https://img.shields.io/badge/Grafana-11.3.0+-orange)\r\n![License](https://img.shields.io/badge/license-MIT-green)\r\n\r\n## 📋 Overview\r\n\r\nThis dashboard provides real-time monitoring and historical analysis of your Shelly Plug smart plugs, supporting both Generation 1 and Generation 2 devices. Track power consumption, temperature, uptime, and receive alerts for overtemperature and overpower conditions.\r\n\r\n## ✨ Features\r\n\r\n- **Real-time Metrics**\r\n  - Current power consumption (Watts)\r\n  - Device temperature (°C)\r\n  - Live uptime tracking\r\n\r\n- **Historical Analysis**\r\n  - Power consumption trends with statistics (mean, max, min)\r\n  - Total energy consumption in kWh\r\n  - Temperature history over time\r\n\r\n- **Device Management**\r\n  - Multi-device support with individual panels per device\r\n  - Collapsible rows for organized viewing\r\n  - Automatic device discovery via Prometheus labels\r\n\r\n- **Generation-Specific Metrics**\r\n  - Overtemperature status (Gen1)\r\n  - Overpower monitoring (Gen1)\r\n\r\n- **Smart Features**\r\n  - Auto-refresh every 30 seconds\r\n  - Customizable time ranges\r\n  - Visual alerts with color-coded thresholds\r\n  - Device filtering and selection\r\n\r\n## 🖼️ Dashboard Preview\r\n\r\nThe dashboard includes:\r\n- 📊 Gauge visualizations for instant readings\r\n- 📈 Time series graphs for trend analysis\r\n- 🎯 Statistical summaries (mean, max, min, delta)\r\n- 🚨 Alert indicators for critical conditions\r\n\r\n## 📦 Requirements\r\n\r\n### Prerequisites\r\n\r\n- **Grafana**: Version 11.0 or higher\r\n- **Prometheus**: As data source\r\n- **shellyplug-exporter**: Running and configured\r\n\r\n### Data Source\r\n\r\nThis dashboard requires a Prometheus data source with metrics from the shellyplug-exporter.\r\n\r\n## 🚀 Installation\r\n\r\n### Method 1: Import via Grafana UI\r\n\r\n1. Log in to your Grafana instance\r\n2. Navigate to **Dashboards** → **New** → **Import**\r\n3. Paste the dashboard JSON or upload the JSON file\r\n4. Select your Prometheus data source\r\n5. Click **Import**\r\n\r\n### Method 2: Import via Dashboard ID\r\n\r\n*(If published to Grafana.com)*\r\n\r\n1. Navigate to **Dashboards** → **New** → **Import**\r\n2. Enter the dashboard ID: `XXXXX`\r\n3. Click **Load**\r\n4. Select your Prometheus data source\r\n5. Click **Import**\r\n\r\n## ⚙️ Configuration\r\n\r\n### shellyplug-exporter Setup\r\n\r\nEnsure your `config.yaml` is properly configured:\r\n\r\n```yaml\r\nexporter_port: 9924\r\nplugs:\r\n  - name: living-room\r\n    host: \"192.168.1.10\"\r\n    port: 80\r\n    auth_username: admin\r\n    auth_password: secret\r\n  - name: bedroom\r\n    host: \"192.168.1.11\"\r\n    port: 80\r\n    auth_username: admin\r\n    auth_password: secret\r\n```\r\n\r\n### Prometheus Configuration\r\n\r\nAdd the shellyplug-exporter as a scrape target in your `prometheus.yml`:\r\n\r\n```yaml\r\nscrape_configs:\r\n  - job_name: 'shellyplug'\r\n    static_configs:\r\n      - targets: ['localhost:9924']\r\n    scrape_interval: 30s\r\n```\r\n\r\n### Dashboard Variables\r\n\r\nThe dashboard includes the following variables:\r\n\r\n- **DS_PROMETHEUS**: Prometheus data source selector\r\n- **device**: Device name filter (supports multi-selection)\r\n\r\n## 📊 Metrics Collected\r\n\r\n| Metric | Description | Type | Gen1 | Gen2 |\r\n|--------|-------------|------|------|------|\r\n| `shellyplug_power` | Current power drawn (watts) | Gauge | ✓ | ✓ |\r\n| `shellyplug_overpower` | Overpower drawn (watts) | Gauge | ✓ | ✗ |\r\n| `shellyplug_total` | Total power consumed (watt-minutes) | Counter | ✓ | ✓ |\r\n| `shellyplug_temperature` | Plug temperature (°C) | Gauge | ✓ | ✓ |\r\n| `shellyplug_overtemperature` | Overtemperature status (0 or 1) | Gauge | ✓ | ✗ |\r\n| `shellyplug_uptime` | Plug uptime (seconds) | Gauge | ✓ | ✓ |\r\n\r\n## 🎨 Customization\r\n\r\n### Adjusting Thresholds\r\n\r\nYou can customize alert thresholds for each panel:\r\n\r\n1. Click on the panel title → **Edit**\r\n2. Navigate to **Field** → **Thresholds**\r\n3. Adjust values and colors as needed\r\n4. Save the dashboard\r\n\r\n### Common Threshold Adjustments\r\n\r\n- **Power**: Yellow at 50W, Red at 80W (adjust based on your devices)\r\n- **Temperature**: Yellow at 50°C, Red at 70°C (default safe limits)\r\n\r\n### Adding Custom Panels\r\n\r\nThe dashboard supports additional panels for:\r\n- Cost calculations (requires price configuration)\r\n- Peak power detection\r\n- Energy consumption comparisons\r\n- Custom alerts\r\n\r\n## 🔧 Troubleshooting\r\n\r\n### No Data Displayed\r\n\r\n1. Verify shellyplug-exporter is running:\r\n   ```bash\r\n   curl http://localhost:9924/metrics\r\n   ```\r\n\r\n2. Check Prometheus is scraping the exporter:\r\n   - Navigate to Prometheus UI → **Status** → **Targets**\r\n   - Verify the shellyplug target is UP\r\n\r\n3. Verify metrics are available:\r\n   ```promql\r\n   shellyplug_power\r\n   ```\r\n\r\n### Missing Devices\r\n\r\n- Ensure device names in `config.yaml` match the expected format\r\n- Check Prometheus labels are correctly scraped\r\n- Refresh the dashboard variables\r\n\r\n### Performance Issues\r\n\r\n- Reduce the time range for better performance\r\n- Adjust the refresh interval (default: 30s)\r\n- Consider using recording rules for complex queries\r\n\r\n## 🤝 Contributing\r\n\r\nContributions are welcome! If you have suggestions for improvements:\r\n\r\n1. Fork the repository\r\n2. Create your feature branch\r\n3. Commit your changes\r\n4. Open a pull request\r\n\r\n## 📝 Changelog\r\n\r\n### Version 1.0.0 (2024)\r\n- Initial release\r\n- Support for Gen1 and Gen2 devices\r\n- Multi-device monitoring\r\n- Organized rows per device\r\n- Real-time and historical metrics\r\n\r\n## 📄 License\r\n\r\nThis dashboard is released under the MIT License.\r\n\r\n## 🔗 Links\r\n\r\n- [shellyplug-exporter GitHub](https://github.com/d1ceward/shellyplug-exporter)\r\n- [Grafana Documentation](https://grafana.com/docs/)\r\n- [Prometheus Documentation](https://prometheus.io/docs/)\r\n\r\n## 💬 Support\r\n\r\nFor issues or questions:\r\n- Open an issue on GitHub\r\n- Check the shellyplug-exporter documentation\r\n- Visit the Grafana community forums\r\n\r\n## 🙏 Acknowledgments\r\n\r\n- Thanks to [d1ceward](https://github.com/d1ceward) for creating the shellyplug-exporter\r\n- Shelly for their excellent smart plug devices\r\n- The Grafana and Prometheus communities\r\n\r\n---\r\n\r\n**Enjoy monitoring your Shelly Plugs!** 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It visualizes key metrics such as voltage, current, active power, and total energy consumption across all three phases. The dashboard features interactive panels for in-depth analysis, customizable alerts, and trends to optimize energy usage and detect anomalies. 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It visualizes key metrics such as voltage, current, active power, and total energy consumption across all three phases. The dashboard features interactive panels for in-depth analysis, customizable alerts, and trends to optimize energy usage and detect anomalies. Perfect for homeowners and facility managers aiming for efficient energy management and insights into their power distribution.","readme":"Test","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-02-18T19:53:10.000Z","updatedAt":"2025-02-18T19:55:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22882"},{"rel":"revisions","href":"/dashboards/22882/revisions"},{"rel":"revision","href":"/dashboards/22882/revisions/1"},{"rel":"download","href":"/dashboards/22882/revisions/1/download"},{"rel":"org","href":"/orgs/woodyb4u"},{"rel":"images","href":"/dashboards/22882/images"},{"rel":"thumbnails","href":"/dashboards/22882/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10624,"status":1,"statusCode":"active","orgId":267062,"orgSlug":"dobbe287","orgName":"Ben Dobbie","slug":"shift-demo","downloads":312,"revisionId":14839,"revision":1,"name":"Shift demo","description":"A shift demo","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-07-28T06:05:46.000Z","updatedAt":"2019-07-28T06:06:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10624"},{"rel":"revisions","href":"/dashboards/10624/revisions"},{"rel":"revision","href":"/dashboards/10624/revisions/1"},{"rel":"download","href":"/dashboards/10624/revisions/1/download"},{"rel":"org","href":"/orgs/dobbe287"},{"rel":"images","href":"/dashboards/10624/images"},{"rel":"thumbnails","href":"/dashboards/10624/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16059,"status":1,"statusCode":"active","orgId":626646,"orgSlug":"shiftsystems","orgName":"shiftsystems","slug":"adguard","downloads":335,"revisionId":24366,"revision":1,"name":"ShiftMon Adguard","description":"Dashboard for the adguard querylog sent to loki","readme":"This dashboard shows all queries on the left half and filter queries on the right by tailing the adgaurd querylog using telegraf.","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.tail]]\r\n  fielddrop = ['''Answer''']\r\n  name_suffix = \"_adguard\"\r\n  files = ['''/opt/AdGuardHome/data/querylog.json*''']\r\n  data_format = \"json\"\r\n  tag_keys = [\"Cached\",\"Upstream\"]\r\n  json_string_fields = [\"*\"] \r\n[[ outputs.loki]]\r\n  domain = \"$loki_url\"\r\n  username = \"$loki_user\"\r\n  password = \"$loki_password\"\r\n  namepass = [\"tail*\",\"exec*\",\"x509_cert\",\"syslog\"]\r\n```","collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2022-04-06T03:19:53.000Z","updatedAt":"2022-04-06T03:31:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16059"},{"rel":"revisions","href":"/dashboards/16059/revisions"},{"rel":"revision","href":"/dashboards/16059/revisions/1"},{"rel":"download","href":"/dashboards/16059/revisions/1/download"},{"rel":"org","href":"/orgs/shiftsystems"},{"rel":"images","href":"/dashboards/16059/images"},{"rel":"thumbnails","href":"/dashboards/16059/thumbnails"}],"datasourceSlugs":["loki"]},{"id":16051,"status":1,"statusCode":"active","orgId":626646,"orgSlug":"shiftsystems","orgName":"shiftsystems","slug":"crowdsec","downloads":317,"revisionId":24354,"revision":1,"name":"ShiftMon Crowdsec","description":"Display logs shipped from the crowdsec agent via telegraf to grafana loki","readme":"shows where attacks are coming from, which ASNs are attacking, which scenarios are being triggered, and a log view. This dashboard and collector is included in ShiftMon which can be found below \r\n\r\nhttps://gitlab.com/shiftsystems/shift-rmm","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.tail]]\r\n  files = [\"/var/log/crowdsec*.log\"]\r\n  data_format = \"logfmt\"\r\n  name_suffix = \"_crowdsec\"\r\n  [[processors.parser]]\r\n    parse_fields = [\"msg\"]\r\n    merge = \"override\"\r\n    data_format = \"grok\"\r\n    grok_patterns = ['''(\\(%{GREEDYDATA}\\)) %{GREEDYDATA:behavior} by ip %{DATA:ip} \\(%{DATA:country_code}/%{DATA:asn}\\) : %{DATA:ban_length} ban on Ip %{DATA:ban_ip}''','''Ip %{GREEDYDATA:ip} performed '%{GREEDYDATA:behavior}' \\(%{INT:attempts} events over %{DATA:window}\\) at %{GREEDYDATA}''']\r\n[[ outputs.loki]]\r\n  domain = \"$loki_url\"\r\n  username = \"$loki_user\"\r\n  password = \"$loki_password\"\r\n  namepass = [\"tail*\",\"exec*\",\"x509_cert\",\"syslog\"]\r\n```","collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2022-04-05T03:57:49.000Z","updatedAt":"2022-04-05T04:12:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16051"},{"rel":"revisions","href":"/dashboards/16051/revisions"},{"rel":"revision","href":"/dashboards/16051/revisions/1"},{"rel":"download","href":"/dashboards/16051/revisions/1/download"},{"rel":"org","href":"/orgs/shiftsystems"},{"rel":"images","href":"/dashboards/16051/images"},{"rel":"thumbnails","href":"/dashboards/16051/thumbnails"}],"datasourceSlugs":["loki"]},{"id":16062,"status":1,"statusCode":"active","orgId":626646,"orgSlug":"shiftsystems","orgName":"shiftsystems","slug":"internal-metrics","downloads":287,"revisionId":24369,"revision":1,"name":"ShiftMon Internal Metrics","description":"Monitors usage of victoriametrics and loki for ShiftMon","readme":"This Dashboard tracks the amount data being collected by ShiftMon along with the performance of loki and victoriametrics. This dashboard is a part of the ShiftMon project\r\n\r\nhttps://gitlab.com/shiftsystems/shift-rmm","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.prometheus]]\r\n  urls = [\"http://localhost:8428/metrics\"]\r\n[[inputs.prometheus]]\r\n  urls = [\"http://localhost:3100/metrics\"]\r\n[[ outputs.influxdb]] \r\n  urls = [\"$victoria_url\"]\r\n  username = \"$victoria_user\"\r\n  password = \"$victoria_password\"\r\n  database = \"linux\"\r\n  namepass = [\"cpu\",\"disk\",\"diskio\",\"mem\",\"net\",\"swap\",\"system\",\"docker\",\"http_response\",\"cs_*\",\"cortex_*\",\"logql_*\",\"loki_*\",\"prometheus_*\",\"querier_*\",\"vm*\",\"systemd_units\"]\r\n\r\n```","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-04-06T04:33:12.000Z","updatedAt":"2022-04-06T04:37:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16062"},{"rel":"revisions","href":"/dashboards/16062/revisions"},{"rel":"revision","href":"/dashboards/16062/revisions/1"},{"rel":"download","href":"/dashboards/16062/revisions/1/download"},{"rel":"org","href":"/orgs/shiftsystems"},{"rel":"images","href":"/dashboards/16062/images"},{"rel":"thumbnails","href":"/dashboards/16062/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24766,"status":1,"statusCode":"active","orgId":1654254,"orgSlug":"ujamii","orgName":"ujamii","slug":"shopware","downloads":19,"revisionId":39701,"revision":1,"name":"Shopware 6 Comprehensive Business & System Health Dashboard","description":"This dashboard is the ultimate monitoring solution for Shopware 6 merchants who need to see beyond simple \"server uptime.\" While traditional tools tell you if your server is running, this dashboard tells you if your business is thriving and where potential bottlenecks are hidden.","readme":"**Bridge the gap between technical monitoring and business intelligence.**\r\n\r\nThis dashboard is the ultimate monitoring solution for Shopware 6 merchants who need to see beyond simple \"server uptime.\" While traditional tools only tell you if your server is reachable, this dashboard provides a 360-degree view of your store's health—connecting technical performance with real-time business success.\r\n\r\n### Why this dashboard is essential for Shop Owners:\r\n\r\n*   **Early Warning System for Sales:** Detect anomalies in order flow or revenue immediately. If checkout issues occur, you will see the trend deviate from the norm in real-time, allowing you to react before losing significant revenue.\r\n*   **Customer Journey Insights:** Monitor \"Open Carts\" live. Visualizing current cart activity helps you gauge customer interest and identify unusual abandonment rates or technical friction during shopping.\r\n*   **Multi-Channel Clarity:** Stop guessing which channel performs best. With dynamic, color-coded stacked bars, you can see at a glance how your Main Shop, Amazon, eBay, or other sales channels contribute to your daily success.\r\n*   **Technical Peace of Mind:** The integrated \"System Health\" panel monitors critical parameters like PHP configurations, Message Queues, and Security Updates. A color-coded alert system (using Polystat) ensures you are the first to know when technical intervention is required.\r\n\r\n### Key Visualizations & Data Points:\r\n\r\n*   **Executive KPI Overview:** High-impact counters for total orders, active carts, customer base, and net revenue.\r\n*   **Operational Order Flow:** Breakdown of orders by state (Open, In Progress, Delivery, etc.) to help manage warehouse workflows and customer expectations.\r\n*   **Daily Sales & Revenue Trends:** Visualized as stacked bars, automatically segmented by Sales Channel. This allows for instant identification of growth patterns or marketing campaign success across different markets.\r\n*   **Customer & Revenue Segmentation:** Detailed charts showing customer distribution and revenue share across your entire sales ecosystem.\r\n*   **Proactive System Health:** Real-time monitoring of App performance, Queue status, Security updates, and server environment variables.\r\n\r\n---\r\n\r\n### Prerequisites & Installation\r\n\r\nTo populate this dashboard with data, you must install the corresponding Prometheus Exporter plugin in your Shopware 6 backend.\r\n\r\n**Get the required [Shopware Plugin](https://store.shopware.com/en/ujami18192929932/business-system-health-dashboard.html):**\r\n\r\n**Installation in 6 simple steps:**\r\n\r\n1. Install and activate the plugin in your Shopware 6 administration.\r\n2. Go to Settings > System > Users & Permissions > Roles in the Shopware 6 administration. Click New role, enter a name like “Metrics” and choose the Permission Ujamii Metrics which you can find all the way down. ([Official documentation](https://docs.shopware.com/en/shopware-6-en/settings/system/user#new-roles))\r\n3. Add an integration in your Shopware backend: Go to Settings > System > Integrations, click Add integration and choose the new role for it. After creation you will see the Client-ID and the Client-Secret. Make sure to write down the Client-Secret. You won’t be able to access it after the page has closed. ([Official documentation](https://docs.shopware.com/en/shopware-6-en/settings/system/integrationen))\r\n4. Add a new prometheus job ([Official documentation](https://prometheus.io/docs/prometheus/latest/configuration/configuration/)):\r\n\r\n```\r\n- job_name: 'shopware'\r\n    metrics_path: '/api/_action/ujamii/metrics'\r\n    params:\r\n      format: [prometheus]\r\n    scrape_interval: 1m\r\n    scheme: https\r\n    oauth2:\r\n      client_id: 'CLIENT_ID'\r\n      client_secret: 'CLIENT_SECRET'\r\n      token_url: 'https://www.your-shop.tld/api/oauth/token'\r\n      scopes:\r\n        - 'write'\r\n    static_configs:\r\n      - targets: ['www.your-shop.tld']\r\n        labels:\r\n          host: 'your-shop-name'\r\n```\r\n\r\n5. Add your Prometheus endpoint as a data source in Grafana if you have not done it yet\r\n6. Import this Dashboard JSON and select your Prometheus data source.\r\n\r\nToo technical for you? Just [contact us](https://www.ujamii.com), we can help you with your installation.\r\n---\r\n\r\n### Technical Specifications\r\n\r\n-   **Data Source:** Prometheus\r\n-   **Platform:** Optimized for Shopware 6\r\n-   **Visualization Requirements:** Requires the **Polystat** panel plugin for the System Health section.\r\n-   **Dynamic Scaling:** Features a dynamic `$shop` variable, allowing you to switch between multiple shop instances or environments within a single dashboard.\r\n\r\n*Designed for Shopware merchants who want to stop searching for data and start making data-driven decisions.*","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-01-29T13:52:39.000Z","updatedAt":"2026-03-05T09:23:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24766"},{"rel":"revisions","href":"/dashboards/24766/revisions"},{"rel":"revision","href":"/dashboards/24766/revisions/1"},{"rel":"download","href":"/dashboards/24766/revisions/1/download"},{"rel":"org","href":"/orgs/ujamii"},{"rel":"images","href":"/dashboards/24766/images"},{"rel":"thumbnails","href":"/dashboards/24766/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20777,"status":1,"statusCode":"active","orgId":1077789,"orgSlug":"amanpagal9093","orgName":"amanpagal9093","slug":"show-csv-data","downloads":493,"revisionId":32158,"revision":1,"name":"show csv data","description":"it show the csv file data by using infinity plugin\r\n","readme":"","collectorType":"Snap","collectorConfig":null,"collectorPluginList":null,"datasource":"Infinity","privacy":"public","createdAt":"2024-03-26T17:51:23.000Z","updatedAt":"2024-03-26T17:56:55.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20777"},{"rel":"revisions","href":"/dashboards/20777/revisions"},{"rel":"revision","href":"/dashboards/20777/revisions/1"},{"rel":"download","href":"/dashboards/20777/revisions/1/download"},{"rel":"org","href":"/orgs/amanpagal9093"},{"rel":"images","href":"/dashboards/20777/images"},{"rel":"thumbnails","href":"/dashboards/20777/thumbnails"}],"datasourceSlugs":["yesoreyeram-infinity-datasource"]},{"id":21547,"status":1,"statusCode":"active","orgId":1113762,"orgSlug":"rajeevghosh1","orgName":"rajeevghosh1","slug":"show-csv-data","downloads":261,"revisionId":33630,"revision":1,"name":"show csv data","description":"it show the csv file data by using infinity plugin\r\n","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"Infinity","privacy":"public","createdAt":"2024-07-18T09:34:50.000Z","updatedAt":"2024-07-18T09:35:47.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21547"},{"rel":"revisions","href":"/dashboards/21547/revisions"},{"rel":"revision","href":"/dashboards/21547/revisions/1"},{"rel":"download","href":"/dashboards/21547/revisions/1/download"},{"rel":"org","href":"/orgs/rajeevghosh1"},{"rel":"images","href":"/dashboards/21547/images"},{"rel":"thumbnails","href":"/dashboards/21547/thumbnails"}],"datasourceSlugs":["yesoreyeram-infinity-datasource"]},{"id":8367,"status":1,"statusCode":"active","orgId":200598,"orgSlug":"adrianbalcan","orgName":"adrianbalcan","slug":"sidecar-mysql-monitoring","downloads":466,"revisionId":11502,"revision":1,"name":"sidecar-mysql-monitoring","description":"Docker or Kubernetes sidecar MySQL monitoring tool for Prometheus","readme":"Docker or Kubernetes sidecar MySQL monitoring tool for Prometheus.  \n\nHere you can find a detailed description about this tool:   \nhttps://medium.com/@Adrian_Balcan/mysql-monitor-sidecar-adventure-2f30df33bd33\n  \nAnd the GitHub link:  \nhttps://github.com/AdrianBalcan/sidecar-mysql-monitoring","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-10-15T13:08:55.000Z","updatedAt":"2018-12-18T13:53:45.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8367"},{"rel":"revisions","href":"/dashboards/8367/revisions"},{"rel":"revision","href":"/dashboards/8367/revisions/1"},{"rel":"download","href":"/dashboards/8367/revisions/1/download"},{"rel":"org","href":"/orgs/adrianbalcan"},{"rel":"images","href":"/dashboards/8367/images"},{"rel":"thumbnails","href":"/dashboards/8367/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25111,"status":1,"statusCode":"active","orgId":1716268,"orgSlug":"maravexa","orgName":"maravexa","slug":"signet-exporter-summary","downloads":2,"revisionId":40372,"revision":1,"name":"Signet Exporter Summary","description":"Dashboard for the signet-exporter (https://github.com/maravexa/signet-exporter)","readme":"# Install Signet-Exporter\r\n\r\n## From Releases\r\n\r\nDownload from https://github.com/maravexa/signet-exporter/releases\r\nInstall with package manager (supports apt, yum, zypper, pacman)\r\n\r\n## Further setup details\r\n\r\nCan be found at https://github.com/maravexa/signet-exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-03T16:56:27.000Z","updatedAt":"2026-04-03T17:00:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25111"},{"rel":"revisions","href":"/dashboards/25111/revisions"},{"rel":"revision","href":"/dashboards/25111/revisions/1"},{"rel":"download","href":"/dashboards/25111/revisions/1/download"},{"rel":"org","href":"/orgs/maravexa"},{"rel":"images","href":"/dashboards/25111/images"},{"rel":"thumbnails","href":"/dashboards/25111/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13505,"status":1,"statusCode":"active","orgId":439791,"orgSlug":"zhuzhengyang","orgName":"zhuzhengyang","slug":"siid-monitor","downloads":284,"revisionId":21110,"revision":3,"name":"Siid Monitor","description":"siid running status monitor","readme":"- siid_max: 当前窗口最大的siid Gauge  \n- siid_n_left: 剩余可分配的数量 Gauge  \n- siid_next: 调用Next()的计数 Counter  \n- siid_next_with_hash: 调用NextWithHash()的计数 Counter\n- siid_quantum: 滑动窗口的大小 Gauge  ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-12-03T12:40:09.000Z","updatedAt":"2021-04-28T00:13:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13505"},{"rel":"revisions","href":"/dashboards/13505/revisions"},{"rel":"revision","href":"/dashboards/13505/revisions/3"},{"rel":"download","href":"/dashboards/13505/revisions/3/download"},{"rel":"org","href":"/orgs/zhuzhengyang"},{"rel":"images","href":"/dashboards/13505/images"},{"rel":"thumbnails","href":"/dashboards/13505/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22163,"status":1,"statusCode":"active","orgId":1048276,"orgSlug":"harold7","orgName":"harold7","slug":"silect-grafana-dashboards-for-scom","downloads":687,"revisionId":34804,"revision":1,"name":"Silect Grafana Dashboards for SCOM","description":"Grafana re-implementation of \"Silect Dashboards for SCOM.pbix\"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Microsoft SQL Server","privacy":"public","createdAt":"2024-10-25T12:24:58.000Z","updatedAt":"2024-10-25T12:29:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22163"},{"rel":"revisions","href":"/dashboards/22163/revisions"},{"rel":"revision","href":"/dashboards/22163/revisions/1"},{"rel":"download","href":"/dashboards/22163/revisions/1/download"},{"rel":"org","href":"/orgs/harold7"},{"rel":"images","href":"/dashboards/22163/images"},{"rel":"thumbnails","href":"/dashboards/22163/thumbnails"}],"datasourceSlugs":["mssql"]},{"id":10886,"status":1,"statusCode":"active","orgId":290586,"orgSlug":"silkperformer","orgName":"Micro Focus","slug":"silk-performer-raw","downloads":381,"revisionId":15665,"revision":4,"name":"Silk Performer Raw","description":"Displays a selection of graph panels based on Silk Performer measurements, imported from raw data files into an InfluxDB instance.","readme":"Open a results set in Silk Performance Explorer and click on Export to InfluxDB. Fill in the parameters, check the raw data checkbox and export the selected data into an InfluxDB instance. \n\nNote: Raw measurement data is not generated by default. You need to enable it in the Silk Performer profile settings.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-09-19T14:40:02.000Z","updatedAt":"2019-11-18T21:04:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10886"},{"rel":"revisions","href":"/dashboards/10886/revisions"},{"rel":"revision","href":"/dashboards/10886/revisions/4"},{"rel":"download","href":"/dashboards/10886/revisions/4/download"},{"rel":"org","href":"/orgs/silkperformer"},{"rel":"images","href":"/dashboards/10886/images"},{"rel":"thumbnails","href":"/dashboards/10886/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10883,"status":1,"statusCode":"active","orgId":290586,"orgSlug":"silkperformer","orgName":"Micro Focus","slug":"silk-performer-realtime","downloads":344,"revisionId":15638,"revision":3,"name":"Silk Performer Realtime","description":"Displays a selection of graph panels based on Silk Performer realtime measurements, exported to an InfluxDB instance, while a load test is running.","readme":"The Silk Performer Realtime dashboard shows all metrics collected by Silk Performer during a test in real-time. You can also configure client-side measures to be exposed to this dashboard by using the MeasureSetOption() BDL function along with the MEASURE_OPT_REALTIME option. 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monitoring solution that provides real-time visibility into your application's performance and health metrics.","readme":"SkyWalking General Service Dashboard is a comprehensive monitoring solution that provides real-time visibility into your application's performance and health metrics.\r\n\r\nKey Features Real-time Metrics: Monitor application performance with up-to-date metrics and visualization Root Cause Analysis: Identify performance bottlenecks and system issues at a glance Service Health Monitoring: Track the health status of all services in your infrastructure Request Tracing: Visualize request flows and identify latency issues Error Rate Tracking: Monitor error rates and failure patterns across your application Resource Utilization: View CPU, memory, and other system resource consumption Dependency Mapping: Understand service dependencies and communication patterns\r\n\r\nUse Cases This dashboard is ideal for: DevOps Teams: Monitor application infrastructure and performance in production Application Teams: Track application health and identify performance issues Operations: Detect anomalies and respond to incidents quickly Performance Analysis: Investigate slow transactions and optimize critical paths\r\n\r\nData Source All metrics are powered by Apache SkyWalking, an open-source observability platform that provides APM (Application Performance Monitoring), tracing, and diagnostics capabilities.\r\n\r\nDashboard Benefits ✅ Centralized monitoring and alerting ✅ Quick incident detection and response ✅ Data-driven performance optimization ✅ Improved system reliability and uptime\r\n\r\nFeel free to customize this explanation based on your specific dashboard panels and metrics!","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"SkyWalking, Prometheus","privacy":"public","createdAt":"2026-04-28T12:15:25.000Z","updatedAt":"2026-05-07T15:14:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25230"},{"rel":"revisions","href":"/dashboards/25230/revisions"},{"rel":"revision","href":"/dashboards/25230/revisions/1"},{"rel":"download","href":"/dashboards/25230/revisions/1/download"},{"rel":"org","href":"/orgs/ardacuhadaroglu"},{"rel":"images","href":"/dashboards/25230/images"},{"rel":"thumbnails","href":"/dashboards/25230/thumbnails"}],"datasourceSlugs":["apache-skywalking-datasource","prometheus"]},{"id":25135,"status":1,"statusCode":"active","orgId":1725299,"orgSlug":"ardacuhadaroglu","orgName":"ardacuhadaroglu","slug":"skywalking-root","downloads":17,"revisionId":40409,"revision":1,"name":"Skywalking Root","description":"SkyWalking General Root Dashboard is a comprehensive monitoring solution that provides real-time visibility into your application's 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production\r\nApplication Teams: Track application health and identify performance issues\r\nOperations: Detect anomalies and respond to incidents quickly\r\nPerformance Analysis: Investigate slow transactions and optimize critical paths\r\n\r\n**Data Source**\r\nAll metrics are powered by Apache SkyWalking, an open-source observability platform that provides APM (Application Performance Monitoring), tracing, and diagnostics capabilities.\r\n\r\n**Dashboard Benefits**\r\n✅ Centralized monitoring and alerting\r\n✅ Quick incident detection and response\r\n✅ Data-driven performance optimization\r\n✅ Improved system reliability and uptime\r\n \r\nFeel free to customize this explanation based on your specific dashboard panels and metrics!","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-08T09:36:28.000Z","updatedAt":"2026-04-08T09:43:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25135"},{"rel":"revisions","href":"/dashboards/25135/revisions"},{"rel":"revision","href":"/dashboards/25135/revisions/1"},{"rel":"download","href":"/dashboards/25135/revisions/1/download"},{"rel":"org","href":"/orgs/ardacuhadaroglu"},{"rel":"images","href":"/dashboards/25135/images"},{"rel":"thumbnails","href":"/dashboards/25135/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14887,"status":1,"statusCode":"active","orgId":525294,"orgSlug":"satelcreative","orgName":"satelcreative","slug":"slack-monitoring-board","downloads":313,"revisionId":22183,"revision":1,"name":"Slack Monitoring Board","description":"Slack ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-08-18T17:51:16.000Z","updatedAt":"2021-08-18T17:52:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14887"},{"rel":"revisions","href":"/dashboards/14887/revisions"},{"rel":"revision","href":"/dashboards/14887/revisions/1"},{"rel":"download","href":"/dashboards/14887/revisions/1/download"},{"rel":"org","href":"/orgs/satelcreative"},{"rel":"images","href":"/dashboards/14887/images"},{"rel":"thumbnails","href":"/dashboards/14887/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20965,"status":1,"statusCode":"active","orgId":1111885,"orgSlug":"fr4nk3nst1ner","orgName":"fr4nk3nst1ner","slug":"nebula-stats","downloads":354,"revisionId":32563,"revision":1,"name":"Slack Nebula Stats","description":"Monitor system metrics for Nebula application performance with this Grafana dashboard. Track main hosts count, network packets lost, garbage collections, memory usage, and more to ensure optimal system operation.","readme":"# Nebula Stats Dashboard\r\n\r\n## Description\r\nSlack Nebula doesn't have many features for monitoring performance or uptime. This dashboard provides an overview of various system metrics related to the Nebula application.\r\n\r\n## Features\r\n- Main Hosts Count\r\n- Network Packets Lost\r\n- Runtime GC CPU Fraction\r\n- Messages TX Errors\r\n- GC Stats and Pause Times\r\n- Garbage Collections\r\n- Current Heap In Use\r\n- Heap Allocation\r\n- Total Allocated Memory\r\n\r\n## Nebula Config\r\nEnsure you've updated your Nebula lighthouse configuration to enable Prometheus.\r\n\r\n```\r\nstats:\r\n  type: prometheus\r\n  listen: 0.0.0.0:9101\r\n  path: /metrics\r\n  namespace: prometheusns\r\n  subsystem: nebula\r\n  interval: 10s\r\n```\r\n## Usage\r\n1. Install the Nebula overlay network, enabling Prometheus in the configuration (listed above). \r\n2. Configure your Prometheus data source and configuration to scrape the data from your Nebula endpoint. \r\n3. Import this dashboard JSON into Grafana.\r\n4. Configure data sources as needed (e.g., Prometheus).\r\n5. Customize time ranges and refresh intervals based on your preferences.\r\n6. Explore the different panels and visualizations to monitor Nebula system performance.\r\n\r\n## Dashboard Details\r\n- Title: Nebula Stats\r\n- Dashboard ID: 20965\r\n- Tags: nebula, system\r\n- Timezone: America/Chicago\r\n\r\nHappy monitoring!\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-28T02:12:59.000Z","updatedAt":"2024-04-28T20:02:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20965"},{"rel":"revisions","href":"/dashboards/20965/revisions"},{"rel":"revision","href":"/dashboards/20965/revisions/1"},{"rel":"download","href":"/dashboards/20965/revisions/1/download"},{"rel":"org","href":"/orgs/fr4nk3nst1ner"},{"rel":"images","href":"/dashboards/20965/images"},{"rel":"thumbnails","href":"/dashboards/20965/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14348,"status":1,"statusCode":"active","orgId":170834,"orgSlug":"slok","orgName":"Xabier Larrakoetxea","slug":"slo-detail","downloads":146331,"revisionId":23087,"revision":5,"name":"SLO / Detail","description":"https://sloth.dev","readme":"Requires Sloth v0.7.0\n\nCheck https://sloth.dev","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-05-02T10:43:01.000Z","updatedAt":"2021-12-06T12:37:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14348"},{"rel":"revisions","href":"/dashboards/14348/revisions"},{"rel":"revision","href":"/dashboards/14348/revisions/5"},{"rel":"download","href":"/dashboards/14348/revisions/5/download"},{"rel":"org","href":"/orgs/slok"},{"rel":"images","href":"/dashboards/14348/images"},{"rel":"thumbnails","href":"/dashboards/14348/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19148,"status":1,"statusCode":"active","orgId":249003,"orgSlug":"ntarquini","orgName":"Nicolas Tarquini","slug":"slo-detail","downloads":278,"revisionId":29320,"revision":1,"name":"SLO / Detail","description":"https://sloth.dev","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-10T18:42:02.000Z","updatedAt":"2023-07-10T18:42:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19148"},{"rel":"revisions","href":"/dashboards/19148/revisions"},{"rel":"revision","href":"/dashboards/19148/revisions/1"},{"rel":"download","href":"/dashboards/19148/revisions/1/download"},{"rel":"org","href":"/orgs/ntarquini"},{"rel":"images","href":"/dashboards/19148/images"},{"rel":"thumbnails","href":"/dashboards/19148/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11222,"status":1,"statusCode":"active","orgId":314547,"orgSlug":"ilyavy","orgName":"ilyavy","slug":"slo-dashboard","downloads":2310,"revisionId":15671,"revision":4,"name":"SLO Dashboard","description":"Tracks service's SLO and error budget consumption.","readme":"The dashboard is based on the following example: [https://github.com/google/prometheus-slo-burn-example](https://github.com/google/prometheus-slo-burn-example)\n\nThe dashboard assumes that there is a *probe*, which probes service's *availability* and exports the data using metrics, which are then used by this dashboard. There are supposed to be two metrics exposed, which can have any name (it is configurable in the parameters):\n- requests_error_count - the number of requests to the service returned an error;\n- requests_total_count - the total number of requests to the service.\n\nSettings for color switching are needed to be adjusted:\n\n1. After `error_budget` parameter is adjusted for the required level, it is necessary to adjust the thresholds for color switching at `Error Budget Left` singlestat panel. It can be done via `Vizualization` tab.\n\n2. After `service_slo_target` parameter is adjusted for the required level, it is necessary to adjust the thresholds for color switching at `Current SLO` singlestat panel. It can be done via `Vizualization` tab.\n\nThe highest panel has two states:\n- *Status is OK* - there are no alerts firing for the last 5 minutes.\n- *Alerts are firing* - there are alerts firing for the last 5 minutes, pay attention.\n\nThe titles for both states can be changed via `Vizualization` tab, in `Value mappings` section.\n\nWelcome [to contribute](https://github.com/ilyavy/grafana-dashboards)!","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2019-11-18T18:54:56.000Z","updatedAt":"2019-11-20T11:16:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11222"},{"rel":"revisions","href":"/dashboards/11222/revisions"},{"rel":"revision","href":"/dashboards/11222/revisions/4"},{"rel":"download","href":"/dashboards/11222/revisions/4/download"},{"rel":"org","href":"/orgs/ilyavy"},{"rel":"images","href":"/dashboards/11222/images"},{"rel":"thumbnails","href":"/dashboards/11222/thumbnails"}]},{"id":16900,"status":1,"statusCode":"active","orgId":707149,"orgSlug":"tykio","orgName":"tykio","slug":"slos-for-apis-managed-by-tyk","downloads":1182,"revisionId":25931,"revision":1,"name":"SLOs for APIs managed by Tyk","description":"Service level indicators (SLIs) and service level objectives (SLOs) for APIs managed by Tyk.","readme":"Service level indicators (SLIs) and service level objectives (SLOs) for your APIs managed by Tyk OSS Gateway or Tyk Self-Managed.\r\n\r\nTry it yourself with the demo project: https://github.com/TykTechnologies/demo-slo-prometheus-grafana","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-09-09T18:21:12.000Z","updatedAt":"2022-09-09T18:34:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":4,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/16900"},{"rel":"revisions","href":"/dashboards/16900/revisions"},{"rel":"revision","href":"/dashboards/16900/revisions/1"},{"rel":"download","href":"/dashboards/16900/revisions/1/download"},{"rel":"org","href":"/orgs/tykio"},{"rel":"images","href":"/dashboards/16900/images"},{"rel":"thumbnails","href":"/dashboards/16900/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15766,"status":1,"statusCode":"active","orgId":467672,"orgSlug":"manaatsauksme","orgName":"reppo","slug":"slow-logs","downloads":972,"revisionId":24920,"revision":3,"name":"Slow Logs","description":"MySQL slow logs monitoring","readme":"Dashboard to analyze MySQL slow logs from many servers and many databases\r\nAs a data source uses an index of Elasticsearch\r\nData collected with fluentd https://www.fluentd.org/datasources/mysqlslowquerylog","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2022-02-16T11:45:16.000Z","updatedAt":"2022-05-31T16:16:02.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15766"},{"rel":"revisions","href":"/dashboards/15766/revisions"},{"rel":"revision","href":"/dashboards/15766/revisions/3"},{"rel":"download","href":"/dashboards/15766/revisions/3/download"},{"rel":"org","href":"/orgs/manaatsauksme"},{"rel":"images","href":"/dashboards/15766/images"},{"rel":"thumbnails","href":"/dashboards/15766/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":14587,"status":1,"statusCode":"active","orgId":510863,"orgSlug":"phphavok","orgName":"phphavok","slug":"slurm-cgroups","downloads":605,"revisionId":21764,"revision":2,"name":"Slurm Cgroups","description":"Metrics collected by the cgroups_exporter.","readme":"This dashboard visualizes data collected by the Prometheus [cgroups_exporter](https://github.com/phpHavok/cgroups_exporter) running in Slurm mode on an High Performance Computing (HPC) cluster that utilizes the [Slurm](https://slurm.schedmd.com/) scheduler configured with `TaskPlugin=task/cgroup`. The dashboard visualizes per-node metrics at the job-level for jobs that run across multiple nodes in a cluster.\r\n\r\nMetrics include:\r\n- **Per-CPU usage:** When there are multiple jobs running on a single node, this dashboard visualizes only CPUs utilized by a given job on that node.\r\n- **Total CPU usage:** Shows the total CPU utilization for only those CPUs scheduled to your job on each node.\r\n- **Memory usage:** Likewise, this dashboard visualizes the memory utilized by only a given job, even if multiple jobs ran on the same node and utilized memory.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-06-14T16:37:54.000Z","updatedAt":"2021-07-02T15:08:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14587"},{"rel":"revisions","href":"/dashboards/14587/revisions"},{"rel":"revision","href":"/dashboards/14587/revisions/2"},{"rel":"download","href":"/dashboards/14587/revisions/2/download"},{"rel":"org","href":"/orgs/phphavok"},{"rel":"images","href":"/dashboards/14587/images"},{"rel":"thumbnails","href":"/dashboards/14587/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4323,"status":1,"statusCode":"active","orgId":112362,"orgSlug":"mtds","orgName":"Matteo Dessalvi","slug":"slurm-dashboard","downloads":15086,"revisionId":20256,"revision":3,"name":"SLURM Dashboard","description":"slurm-exporter","readme":"This dashboard can be used to visualize the status of a Linux 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Job Trends — Job state trends, throughput rates\r\n  (completed/started/failed per min)\r\n  3. Per-Node Resources — CPU & memory allocation and utilization\r\n  by node\r\n  4. Per-Partition Status — Running/pending jobs and CPU allocation\r\n   by partition\r\n  5. Per-User Workloads — Jobs and resource usage by user (inactive\r\n   users auto-hidden)\r\n  6. 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This dashboard visualizes everything.\r\n\r\n## Dashboard (30+ panels, 4 sections)\r\n\r\n### SYSTEM STATUS\r\nReal-time KPIs: total targets, open ports, unique CVEs, technologies detected, host tags, vulnerability ratio, max CVSS score, average ports per host.\r\n\r\n### THREAT MATRIX\r\n- Host Threat Index — sortable table with IP, vuln count, max CVSS, risk level, organization\r\n- Severity Breakdown — donut chart (CRITICAL / HIGH / MEDIUM / LOW / UNKNOWN)\r\n- Exploit Frequency — top 15 most common CVEs\r\n- Risk Levels — host distribution by computed risk level\r\n- Blast Radius — CVEs ranked by number of affected hosts\r\n- Exploit Database — filterable CVE ↔ IP ↔ CVSS ↔ Severity ↔ Port ↔ Service table with NVD deep-links\r\n\r\n### ATTACK SURFACE & TECH FINGERPRINTING\r\n- Service Fingerprints — pie chart of service/product distribution\r\n- Technology Stack — bar chart of technologies by host count (parsed from CPE strings)\r\n- Host Tags — bar chart showing tag distribution (shodan, os, service, status)\r\n- Port Scan — port/service/host count table\r\n- OS Enumeration — OS distribution pie chart\r\n- Complete Host Inventory — IP, hostname, org, ASN, risk level, CVEs, CVSS, ports, technologies, tags\r\n- Host Recon Detail — port, proto, service, product, version, banner, CPE, SSL indicator\r\n\r\n### OPERATION HISTORY\r\n- Scan-over-scan comparison: hosts/CVEs/ports per operation\r\n- New Targets — IPs appearing for the first time\r\n- Gone Dark — IPs that disappeared\r\n- New Threats — CVEs first detected in latest scan (with severity)\r\n- Resolved CVEs — CVEs no longer present\r\n- CVE Delta — vulnerability count change between scans\r\n\r\n## Filter Variables (4)\r\nAll panels react in real-time to:\r\n- Target IP (multi-select)\r\n- Port (multi-select)\r\n- Severity (CRITICAL, HIGH, MEDIUM, LOW, UNKNOWN)\r\n- Tag (vulnerable, ssl/tls, http, etc.)\r\n\r\n## Database Schema (7 tables)\r\n- scans — scan metadata and totals\r\n- hosts — IP, hostname, OS, geo, org, ASN, vuln_count, max_cvss, risk_level\r\n- ports — port, protocol, service, product, version, banner, CPE, SSL details\r\n- vulnerabilities — CVE, CVSS, severity, summary, references\r\n- technologies — CPE-parsed: category (application/os/hardware), name, version\r\n- host_tags — auto-tags with source (shodan/os/service/status)\r\n\r\n## CVSS Severity Classification\r\n- CRITICAL: 9.0–10.0\r\n- HIGH: 7.0–8.9\r\n- MEDIUM: 4.0–6.9\r\n- LOW: 0.1–3.9\r\n- NONE: 0.0\r\n- UNKNOWN: no score available\r\n\r\n## Requirements\r\n- Docker 20.x+ and Docker Compose v2\r\n- No Shodan API key needed (uses free InternetDB endpoint)\r\n- ~2 minutes to deploy\r\n\r\n## Quick Start\r\ngit clone https://github.com/czantoine/smap-grafana-dashboard\r\ncd smap-grafana-dashboard/quickstart\r\ndocker compose up -d\r\n# Open http://localhost:3009 — Login: admin/admin\r\n\r\n## Data Source\r\nSQLite via frser-sqlite-datasource plugin. 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Requires [Prometheus blackbox_exporter](https://github.com/prometheus/blackbox_exporter).\r\n```\r\n  - job_name: 'smtp_status_tls'\r\n    metrics_path: /probe\r\n    params:\r\n      module: [smtp_starttls]\r\n    static_configs:\r\n      - targets: [\r\n\t\t'your.mail.server.com'\t\t\r\n\t        ]\r\n    relabel_configs:\r\n      # Ensure port is 25, pass as URL parameter\r\n      - source_labels: [__address__]\r\n        regex: (.*)(:.*)?\r\n        replacement: ${1}:587\r\n        target_label: __param_target\r\n      # Make instance label the target\r\n      - source_labels: [__param_target]\r\n        target_label: instance\r\n      # Actually talk to the blackbox exporter though\r\n      - target_label: __address__\r\n        replacement: 127.0.0.1:9115\r\n\r\n  - job_name: 'smtp_status'\r\n    metrics_path: /probe\r\n    params:\r\n      module: [smtp_banner]\r\n    static_configs:\r\n      - targets: [\r\n                'your.mail.server.com'\r\n                ]\r\n    relabel_configs:\r\n      # Ensure port is 25, pass as URL parameter\r\n      - source_labels: [__address__]\r\n        regex: (.*)(:.*)?\r\n        replacement: ${1}:25\r\n        target_label: __param_target\r\n      # Make instance label the target\r\n      - source_labels: [__param_target]\r\n        target_label: instance\r\n      # Actually talk to the blackbox exporter though\r\n      - target_label: __address__\r\n        replacement: 127.0.0.1:9115\r\n``` \r\n\r\n# Blackbox_exporter blackbox.yml config\r\n```\r\n  smtp_starttls:\r\n    prober: tcp\r\n    timeout: 20s\r\n    tcp:\r\n      preferred_ip_protocol: ip4\r\n      tls_config:\r\n        insecure_skip_verify: true\r\n      query_response:\r\n        - expect: \"^220 ([^ ]+) ESMTP (.+)$\"\r\n        - send: \"EHLO prober\\r\"\r\n        - expect: \"^250-(.*)\"\r\n        - send: \"STARTTLS\\r\"\r\n        - expect: \"^220\"\r\n        - starttls: true\r\n        - send: \"EHLO prober\\r\"\r\n        - expect: \"^250-\"\r\n        - send: \"QUIT\\r\"\r\n  smtp_banner:\r\n    prober: tcp\r\n    timeout: 20s\r\n    tcp:\r\n      preferred_ip_protocol: ip4\r\n      query_response:\r\n        - expect: \"^220 ([^ ]+) ESMTP (.+)$\"\r\n        - send: \"EHLO prober\\r\"\r\n        - expect: \"^250-(.*)\"\r\n        - send: \"MAIL FROM:ping@your.mail.server.com\\r\"\r\n        - expect: \"^250-(.*)\"\r\n        - send: \"RCPT TO:test.email@your.mail.domain.com\\r\"\r\n        - expect: \"^250-(.*)\"\r\n        - send: \"QUIT\\r\"\r\n```\r\n# Screenshots\r\n![Postfix SMTP Email + OpenDKIM](https://grafana.com/api/dashboards/11293/images/7568/image)\r\n\r\n![Postfix SMTP Email + OpenDKIM](https://grafana.com/api/dashboards/11293/images/7216/image)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch, Prometheus","privacy":"public","createdAt":"2019-11-27T17:53:07.000Z","updatedAt":"2025-06-25T14:59:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11293"},{"rel":"revisions","href":"/dashboards/11293/revisions"},{"rel":"revision","href":"/dashboards/11293/revisions/4"},{"rel":"download","href":"/dashboards/11293/revisions/4/download"},{"rel":"org","href":"/orgs/bhozar"},{"rel":"images","href":"/dashboards/11293/images"},{"rel":"thumbnails","href":"/dashboards/11293/thumbnails"}],"datasourceSlugs":["elasticsearch","prometheus"]},{"id":14363,"status":1,"statusCode":"active","orgId":492471,"orgSlug":"snaplogicsupport","orgName":"snaplogic-support","slug":"snaplogic-snaplex-dashboard-v202206","downloads":383,"revisionId":25207,"revision":2,"name":"SnapLogic Snaplex Dashboard v202206","description":"Monitoring Snaplex FM and JCC nodes stat, and HPA stat.","readme":"Monitoring Snaplex FM and JCC nodes stat, and HPA stat. 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They are all running the QES firmware (NOT QTS!).\n\nThis are the metrics I used for the snmp_generator:\n\n      - es-SystemCPU-Usage\n      - es-SystemTotalMem\n      - es-SystemFreeMem\n      - es-SystemUptime\n      - es-CPU-Temperature\n      - es-SystemTemperature1\n      - es-SystemIfTable\n      - es-SystemHdTable\n      - es-ModelName\n      - es-HostName\n      - es-SystemFanTable\n      - es-SystemSharedFolderTable\n      - es-SystemLunTable\n      - es-SystemPowerTable\n      - es-SystemPoolTable\n\nI am happy to assist in case there are questions of any 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my Ubiquiti EdgeMax-16-XG switch. Should work with most switches.","readme":"Some minor customization required!\n\n1). The ports are named and sorted manually. Please edit each panel to change the names and drag them around as you see fit. By default, the panel names and order reflect my environment and will not match yours.\n\n2). If your switch has more or fewer than 16 ports, you'll need to add or remove panels accordingly. Usually, ifIndex of 1 = port 0/1, but you should manually query a list of ifName{} to verify ifindex matches.\n\n3). The total throughput of my switch is 160Gbps. Edit the \"Allocated Throughput\" panel > Options > change Max and Thresholds. Look at your switch documentation to learn what the total throughput of your switch should be.\n\nInstallation:\n- Tested with snmp_exporter 0.13.0: https://github.com/prometheus/snmp_exporter\n- Built snmp.yaml config with generator: https://github.com/prometheus/snmp_exporter/tree/master/generator\n- If using an Ubiquiti switch, set module to either \"ubiquiti_unify\" or\"ubiquiti_airmax\" (configure this param in the job in prometheus.yml)\n- Enable snmp v1 as public community on switch. (Recommendation: bind to local IP and only allow connections from your local network.) \n- See here: https://www.robustperception.io/snmp-monitoring-with-prometheus\n\nTroubleshooting:\n- Make sure snmp data is working through snmp_exporter. Default is: http://localhost:9116/\n- Use snmpwalk cmd on Prometheus server to test connection to switch. Example: snmpwalk -c public -v1 10.0.0.2 | less\n\nTweet questions, fixes or ideas to me @gtwy","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-10-24T14:22:15.000Z","updatedAt":"2018-10-24T17:01:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8570"},{"rel":"revisions","href":"/dashboards/8570/revisions"},{"rel":"revision","href":"/dashboards/8570/revisions/1"},{"rel":"download","href":"/dashboards/8570/revisions/1/download"},{"rel":"org","href":"/orgs/peakphysiqueitgeek"},{"rel":"images","href":"/dashboards/8570/images"},{"rel":"thumbnails","href":"/dashboards/8570/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16553,"status":1,"statusCode":"active","orgId":669105,"orgSlug":"bd353533004","orgName":"zhuangjiajun","slug":"snmp-overview-with-telegraf","downloads":594,"revisionId":25289,"revision":3,"name":"SNMP Overview With Telegraf","description":"","readme":"https://github.com/influxdata/telegraf/blob/release-1.23/plugins/inputs/snmp/README.md","collectorType":"Telegraf","collectorConfig":"```yaml\r\n[[inputs.snmp]]\r\n  agents = [\"###Your Network Device Ip Address###\"]\r\n  community = \"###your community###\"\r\n\r\n[[inputs.snmp.field]]\r\n  oid = \"RFC1213-MIB::sysUpTime.0\"\r\n  name = \"uptime\"\r\n\r\n[[inputs.snmp.field]]\r\n  oid = \"RFC1213-MIB::sysName.0\"\r\n  name = \"source\"\r\n  is_tag = true\r\n\r\n[[inputs.snmp.field]]\r\n  oid = \"1.3.6.1.4.1.2011.5.25.31.1.1.1.1.5.67108873\"\r\n  name = \"CpuUsage\"\r\n\r\n[[inputs.snmp.field]]\r\n  oid = \"1.3.6.1.4.1.2011.5.25.31.1.1.1.1.7.67108873\"\r\n  name = \"MemUsage\"\r\n\r\n[[inputs.snmp.field]]\r\n  oid = \"1.3.6.1.4.1.2011.5.25.31.1.1.1.1.5.16842753\"\r\n  name = \"CpuUsage\"\r\n\r\n[[inputs.snmp.field]]\r\n  oid = \"1.3.6.1.4.1.2011.5.25.31.1.1.1.1.7.16842753\"\r\n  name = \"MemUsage\"\r\n\r\n[[inputs.snmp.table]]\r\n  oid = \"IF-MIB::ifTable\"\r\n  name = \"interface\"\r\n  inherit_tags = [\"source\"]\r\n\r\n[[inputs.snmp.table.field]]\r\n  oid = \"IF-MIB::ifDescr\"\r\n  name = \"ifDescr\"\r\n  is_tag = true\r\n```","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-07-07T05:05:24.000Z","updatedAt":"2022-07-11T08:43:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16553"},{"rel":"revisions","href":"/dashboards/16553/revisions"},{"rel":"revision","href":"/dashboards/16553/revisions/3"},{"rel":"download","href":"/dashboards/16553/revisions/3/download"},{"rel":"org","href":"/orgs/bd353533004"},{"rel":"images","href":"/dashboards/16553/images"},{"rel":"thumbnails","href":"/dashboards/16553/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12366,"status":1,"statusCode":"active","orgId":324139,"orgSlug":"misho","orgName":"Misho Petkovic","slug":"snmp-routers","downloads":2199,"revisionId":17705,"revision":1,"name":"SNMP routers","description":"SNMP dashboard for InfluxDB","readme":"Find in router MIB description, cpu, memory and temperature.\n\nComplete tutorial will be soon. ","collectorType":"Telegraf","collectorConfig":"\t[[inputs.snmp]]\n\t  agents = [\"udp://:161\"]\n\t  timeout = \"5s\"\n\t  version = 3\n\t  retries = 3\n\t  max_repetitions = 15\n\t  sec_name = \"\"\n\t  auth_protocol = \"SHA\"\n\t  auth_password = \"\"\n\t  sec_level = \"\"\n\n\t  [[inputs.snmp.field]]\n\t    name = \"hostname\"\n\t    oid = \"RFC1213-MIB::sysName.0\"\n\t    is_tag = true\n\n\t  [[inputs.snmp.field]]\n\t    name = \"uptime\"\n\t    oid = \"DISMAN-EXPRESSION-MIB::sysUpTimeInstance\"\n\n\t  [[inputs.snmp.field]]\n\t    name = \"sw_cpu\"\n\t    oid = \"SNMPv2-SMI::enterprises.12356.101.4.1.3.0\"\n\t  \n\t  [[inputs.snmp.field]]\n\t    name = \"memory\"\n\t    oid = \"SNMPv2-SMI::enterprises.12356.101.4.1.4.0\"\n\t    \n\t  [[inputs.snmp.table]]\n\t    oid = \"IF-MIB::ifTable\"\n\t    name = \"interface\"\n\t    inherit_tags = [\"hostname\"]\n\n\t    [[inputs.snmp.table.field]]\n\t      oid = \"IF-MIB::ifDescr\"\n\t      name = \"ifDescr\"\n\t      is_tag = true\n","collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2020-05-27T15:00:46.000Z","updatedAt":"2020-05-27T15:13:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12366"},{"rel":"revisions","href":"/dashboards/12366/revisions"},{"rel":"revision","href":"/dashboards/12366/revisions/1"},{"rel":"download","href":"/dashboards/12366/revisions/1/download"},{"rel":"org","href":"/orgs/misho"},{"rel":"images","href":"/dashboards/12366/images"},{"rel":"thumbnails","href":"/dashboards/12366/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11169,"status":1,"statusCode":"active","orgId":310737,"orgSlug":"deresmos","orgName":"deresmos","slug":"snmp-stats","downloads":16658,"revisionId":15591,"revision":1,"name":"SNMP Stats","description":"For snmp_exporter IF-MIB","readme":"For Prometheus SNMP Exporter.\r\nhttps://github.com/prometheus/snmp_exporter\r\n\r\nModule is 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interleaved with chaos events and chaos exporter metrics from LitmusChaos. ","readme":"[LitmusChaos](https://litmuschaos.io) facilitates real-time monitoring for events using litmus event router and for metrics using our native chaos exporter. These events and metrics can be exported into any TSDBs (Time-series databases) to overlay on top of application performance graphs and also as additional visualizations for chaos testing statistics. To set up or configure your monitoring infrastructure to support litmus chaos events and metrics, we provide both service endpoints and service monitors setup and pre-configured Grafana dashboards overlayed with chaos events and gauges for chaos experiment statistics. Interleaving application dashboards can be achieved by using a TSDB data source configured for litmus metrics and events. To inject or schedule application or workload specific chaos and monitor using Grafana visit [hub.litmuschaos.io](https://hub.litmuschaos.io)\r\n\r\n### Steps to setup the monitoring infrastructure for collecting metrics and visualising the same using Grafana to monitor application behaviour and resilience during chaos testing.\r\n\r\n- Setup prometheus TSDB\r\n  \r\n  > Model-1 (optional): Service monitor and prometheus operator model.\r\n\r\n    Create the operator to instantiate all prometheus CRDs\r\n\r\n    Deploy monitoring components, application service monitors, litmus metrics exporters with corresponding service monitors.\r\n\r\n    Deploy prometheus instance and all the service monitors for targets\r\n\r\n  > Model-2 (optional): Prometheus scrape config model.\r\n\r\n    Deploy prometheus components\r\n\r\n    Deploy metrics exporters, namely litmus-event-router and chaos-exporter.\r\n\r\n- Add the prometheus datasource from monitoring namespace as DS_PROMETHEUS for Grafana via the Grafana Settings menu\r\n\r\n  ![image](https://github.com/litmuschaos/litmus/blob/master/monitoring/screenshots/data-source-config.png?raw=true)\r\n\r\n- Download and import this Grafana dashboard \"Sock-Shop Performance\" \r\n\r\n![image](https://github.com/litmuschaos/litmus/blob/master/monitoring/screenshots/Sock-Shop-Dashboard.png?raw=true)\r\n\r\nDetailed instructions and resources for setup can be found at [docs.litmuschaos.io/docs/next/monitoring](https://docs.litmuschaos.io/docs/next/monitoring) and [github.com/litmuschaos/litmus/tree/master/monitoring](https://github.com/litmuschaos/litmus/tree/master/monitoring)\r\n\r\nFor more details visit [github.com/litmuschaos/litmus](https://github.com/litmuschaos/litmus) or [slack.litmuschaos.io](slack.litmuschaos.io)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-07T09:59:39.000Z","updatedAt":"2020-11-07T14:59:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13358"},{"rel":"revisions","href":"/dashboards/13358/revisions"},{"rel":"revision","href":"/dashboards/13358/revisions/1"},{"rel":"download","href":"/dashboards/13358/revisions/1/download"},{"rel":"org","href":"/orgs/litmusbot"},{"rel":"images","href":"/dashboards/13358/images"},{"rel":"thumbnails","href":"/dashboards/13358/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10847,"status":1,"statusCode":"active","orgId":284329,"orgSlug":"will2","orgName":"will2","slug":"socket-stats","downloads":697,"revisionId":15168,"revision":3,"name":"Socket stats","description":"Displays TCP connection statistics","readme":"requires 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Here is an attempt at a first iteration. There are geomaps, time series, and stat panels to paint a holistic view of metrics that SW is collecting via it's MS SQL DB. Visualized Network Availability % (npm) and Application Availability % metrics (sam), with geomaps that display network device response times with a threshold that can be modified in the query. Other metrics for across-the-board Latency and Saturation metrics are also available. *chefs kiss* to Google's SRE handbook\r\n\r\nHere are the steps needed to get this dashboard working correctly:\r\n\r\n1) Deploy Grafana PDC Agent on SolarWinds Server (https://grafana.com/docs/grafana-cloud/connect-externally-hosted/private-data-source-connect/)\r\n\r\n2) Configure MS SQL DB as Data Source, making sure to add PDC connection at the bottom of the data source configuration\r\n\r\n3) Have fun! Modify queries as needed.\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Microsoft SQL Server","privacy":"public","createdAt":"2024-02-26T20:44:53.000Z","updatedAt":"2024-02-26T20:54:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20575"},{"rel":"revisions","href":"/dashboards/20575/revisions"},{"rel":"revision","href":"/dashboards/20575/revisions/1"},{"rel":"download","href":"/dashboards/20575/revisions/1/download"},{"rel":"org","href":"/orgs/ashoemaker"},{"rel":"images","href":"/dashboards/20575/images"},{"rel":"thumbnails","href":"/dashboards/20575/thumbnails"}],"datasourceSlugs":["mssql"]},{"id":14025,"status":1,"statusCode":"active","orgId":65192,"orgSlug":"jordanneufeld","orgName":"neufeldtech","slug":"solidfire-cluster-overview","downloads":333,"revisionId":20969,"revision":2,"name":"Solidfire Cluster Overview","description":"Solidfire Cluster Overview powered by https://github.com/mjavier2k/solidfire-exporter","readme":"# NetApp SolidFire Cluster Overview\n\n**Since revision 2, this dashboard requires version v0.6.0 or higher of [solidfire-exporter](https://github.com/mjavier2k/solidfire-exporter)**\n\nThe cluster overview dashboard contains information about:\n- Cluster Faults\n- Capacity/Compression/Deduplication\n- Cluster CPU Performance\n- Cluster IOPS/Bandwidth\n- Queue Depth\n\nSee also:\n- [SolidFire Cluster Overview](https://grafana.com/grafana/dashboards/14025)\n- [SolidFire Volume Details](https://grafana.com/grafana/dashboards/14030)\n- [SolidFire Node Details](https://grafana.com/grafana/dashboards/14026)\n\n**The sfcluster label is required for the dashboard to work properly - be sure to add it in your Prometheus scrape config:**\n\n```yaml\n- job_name: solidfire_exporter\n  honor_timestamps: true\n  scrape_interval: 30s\n  scrape_timeout: 20s\n  metrics_path: /metrics\n  scheme: http\n  static_configs:\n  - targets:\n    - localhost:9987\n    labels:\n      sfcluster: sfcluster01\n```\n![](https://raw.githubusercontent.com/mjavier2k/solidfire-exporter/master/dashboards/solidfire-cluster-overview.jpg)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-03-09T02:43:09.000Z","updatedAt":"2021-04-18T15:24:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14025"},{"rel":"revisions","href":"/dashboards/14025/revisions"},{"rel":"revision","href":"/dashboards/14025/revisions/2"},{"rel":"download","href":"/dashboards/14025/revisions/2/download"},{"rel":"org","href":"/orgs/jordanneufeld"},{"rel":"images","href":"/dashboards/14025/images"},{"rel":"thumbnails","href":"/dashboards/14025/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14026,"status":1,"statusCode":"active","orgId":65192,"orgSlug":"jordanneufeld","orgName":"neufeldtech","slug":"solidfire-node-detail","downloads":370,"revisionId":20974,"revision":3,"name":"Solidfire Node Detail","description":"","readme":"# NetApp SolidFire Node Detail\n**Since revision 2, this dashboard requires version v0.6.0 or higher of [solidfire-exporter](https://github.com/mjavier2k/solidfire-exporter)**\n\nThe node details dashboard contains information about:\n- Node Read/Write IOPS\n- Node CPU\n- Node CPU/Memory\n- Drive status\n- iSCSI session counts\n- Throughput\n\nSee also:\n- [SolidFire Cluster Overview](https://grafana.com/grafana/dashboards/14025)\n- [SolidFire Volume Details](https://grafana.com/grafana/dashboards/14030)\n- [SolidFire Node Details](https://grafana.com/grafana/dashboards/14026)\n\n**The sfcluster label is required for the dashboard to work properly - 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NetApp SolidFire Overutilized Volumes\n\n**This dashboard is no longer maintained and will only work with versions v0.5.2 or earlier of [solidfire-exporter](https://github.com/mjavier2k/solidfire-exporter)**\n\nThe over-utilized volume dashboard contains information for debugging volumes that are over-utilized (i.e. going over their allocated burst capacity.\n\nSee also:\n- [SolidFire Cluster Overview](https://grafana.com/grafana/dashboards/14025)\n- [SolidFire Volume Details](https://grafana.com/grafana/dashboards/14030)\n- [SolidFire Node Details](https://grafana.com/grafana/dashboards/14026)\n- [SolidFire TopK Volumes](https://grafana.com/grafana/dashboards/14029)\n- [SolidFire Overutilized Volume](https://grafana.com/grafana/dashboards/14027)\n\n**The sfcluster label is required for the dashboard to work properly - be sure to add it in your Prometheus scrape config:**\n\n```yaml\n- job_name: solidfire_exporter\n  honor_timestamps: true\n  scrape_interval: 30s\n  scrape_timeout: 20s\n  metrics_path: /metrics\n  scheme: http\n  static_configs:\n  - 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NetApp SolidFire TopK Volumes Overview\n\n**This dashboard is no longer maintained and will only work with versions v0.5.2 or earlier of [solidfire-exporter](https://github.com/mjavier2k/solidfire-exporter)**\n\nThe SolidFire TopK dashboard contains the following statistics for the top K busiest volumes:\n- Read Bytes\n- Write Bytes\n- Read Ops\n- Write Ops\n- Read Latency\n- Write Latency\n\nIt can serve as a high-level troubleshooting point to find the busiest volumes on the SolidFire cluster.\n\nSee also:\n- [SolidFire Cluster Overview](https://grafana.com/grafana/dashboards/14025)\n- [SolidFire Volume Details](https://grafana.com/grafana/dashboards/14030)\n- [SolidFire Node Details](https://grafana.com/grafana/dashboards/14026)\n- [SolidFire TopK Volumes](https://grafana.com/grafana/dashboards/14029)\n- [SolidFire Overutilized Volume](https://grafana.com/grafana/dashboards/14027)\n\n**The sfcluster label is required for the dashboard to work properly - be sure to add it in your Prometheus scrape config:**\n\n```yaml\n- job_name: solidfire_exporter\n  honor_timestamps: true\n  scrape_interval: 30s\n  scrape_timeout: 20s\n  metrics_path: /metrics\n  scheme: http\n  static_configs:\n  - 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be sure to add it in your Prometheus scrape config:**\n\n```yaml\n- job_name: solidfire_exporter\n  honor_timestamps: true\n  scrape_interval: 30s\n  scrape_timeout: 20s\n  metrics_path: /metrics\n  scheme: http\n  static_configs:\n  - targets:\n    - localhost:9987\n    labels:\n      sfcluster: sfcluster01\n```\n\n![](https://raw.githubusercontent.com/mjavier2k/solidfire-exporter/master/dashboards/solidfire-volume-detail.jpg)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-03-09T03:36:32.000Z","updatedAt":"2021-04-18T15:23:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14030"},{"rel":"revisions","href":"/dashboards/14030/revisions"},{"rel":"revision","href":"/dashboards/14030/revisions/2"},{"rel":"download","href":"/dashboards/14030/revisions/2/download"},{"rel":"org","href":"/orgs/jordanneufeld"},{"rel":"images","href":"/dashboards/14030/images"},{"rel":"thumbnails","href":"/dashboards/14030/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17503,"status":1,"statusCode":"active","orgId":107130,"orgSlug":"candlerb","orgName":"candlerb","slug":"solar-pv","downloads":637,"revisionId":27422,"revision":3,"name":"Solis 5G Solar PV","description":"Solis 5G inverter with solis_exporter and prometheus","readme":"Dashboard for data collected by solis_exporter and stored in Prometheus\r\n\r\nFor exporter see: https://github.com/candlerb/solis_exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-27T06:49:07.000Z","updatedAt":"2023-01-16T14:35:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17503"},{"rel":"revisions","href":"/dashboards/17503/revisions"},{"rel":"revision","href":"/dashboards/17503/revisions/3"},{"rel":"download","href":"/dashboards/17503/revisions/3/download"},{"rel":"org","href":"/orgs/candlerb"},{"rel":"images","href":"/dashboards/17503/images"},{"rel":"thumbnails","href":"/dashboards/17503/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18793,"status":1,"statusCode":"active","orgId":582004,"orgSlug":"yvesprairie","orgName":"yvesprairie","slug":"soliton","downloads":255,"revisionId":28817,"revision":1,"name":"Soliton","description":"soliton test","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-05-20T23:12:01.000Z","updatedAt":"2023-05-20T23:12:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18793"},{"rel":"revisions","href":"/dashboards/18793/revisions"},{"rel":"revision","href":"/dashboards/18793/revisions/1"},{"rel":"download","href":"/dashboards/18793/revisions/1/download"},{"rel":"org","href":"/orgs/yvesprairie"},{"rel":"images","href":"/dashboards/18793/images"},{"rel":"thumbnails","href":"/dashboards/18793/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":2551,"status":1,"statusCode":"active","orgId":69979,"orgSlug":"noony","orgName":"Thomas Colomb","slug":"solr-prometheus","downloads":1466,"revisionId":3439,"revision":1,"name":"Solr","description":"Solr metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-06-29T08:50:58.000Z","updatedAt":"2017-06-29T09:03:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2551"},{"rel":"revisions","href":"/dashboards/2551/revisions"},{"rel":"revision","href":"/dashboards/2551/revisions/1"},{"rel":"download","href":"/dashboards/2551/revisions/1/download"},{"rel":"org","href":"/orgs/noony"},{"rel":"images","href":"/dashboards/2551/images"},{"rel":"thumbnails","href":"/dashboards/2551/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12456,"status":1,"statusCode":"active","orgId":391428,"orgSlug":"janhoy","orgName":"janhoy","slug":"solr-dashboard","downloads":968884,"revisionId":21407,"revision":7,"name":"Solr Dashboard","description":"Default dashboard for Solr Exporter","readme":"This is a Grafana dashboard that works OOTB with the Solr Prometheus Exporter. 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I wish I could PR it or something.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-09-11T14:07:39.000Z","updatedAt":"2024-09-11T14:11:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21889"},{"rel":"revisions","href":"/dashboards/21889/revisions"},{"rel":"revision","href":"/dashboards/21889/revisions/1"},{"rel":"download","href":"/dashboards/21889/revisions/1/download"},{"rel":"org","href":"/orgs/fishyfish"},{"rel":"images","href":"/dashboards/21889/images"},{"rel":"thumbnails","href":"/dashboards/21889/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22587,"status":1,"statusCode":"active","orgId":1301473,"orgSlug":"nynji","orgName":"nynji","slug":"2mysql-simple-dashboard","downloads":246,"revisionId":35586,"revision":1,"name":"sono","description":"My MySQL simple dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2024-12-29T05:09:55.000Z","updatedAt":"2024-12-29T05:10:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22587"},{"rel":"revisions","href":"/dashboards/22587/revisions"},{"rel":"revision","href":"/dashboards/22587/revisions/1"},{"rel":"download","href":"/dashboards/22587/revisions/1/download"},{"rel":"org","href":"/orgs/nynji"},{"rel":"images","href":"/dashboards/22587/images"},{"rel":"thumbnails","href":"/dashboards/22587/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":12332,"status":1,"statusCode":"active","orgId":357108,"orgSlug":"ssepiol","orgName":"ssepiol","slug":"sophos-fw","downloads":1563,"revisionId":17717,"revision":3,"name":"Sophos FW","description":"Dashboard for Sophos XG. Based on these templates : https://share.zabbix.com/network_devices/sophos-xg-firewall (4.0.x) https://share.zabbix.com/network-appliances/sophos-xg-firewall (2.2.x) \r\n* Update * \r\n- Fixed bug color \r\n- Translated some parts from French to English","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2020-05-19T15:11:51.000Z","updatedAt":"2020-05-28T09:28:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12332"},{"rel":"revisions","href":"/dashboards/12332/revisions"},{"rel":"revision","href":"/dashboards/12332/revisions/3"},{"rel":"download","href":"/dashboards/12332/revisions/3/download"},{"rel":"org","href":"/orgs/ssepiol"},{"rel":"images","href":"/dashboards/12332/images"},{"rel":"thumbnails","href":"/dashboards/12332/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":15883,"status":1,"statusCode":"active","orgId":614258,"orgSlug":"teststuff","orgName":"teststuff","slug":"sophos-fw","downloads":595,"revisionId":24078,"revision":1,"name":"Sophos FW","description":"Dashboard for Sophos XG. Based on these templates : https://share.zabbix.com/network_devices/sophos-xg-firewall (4.0.x) https://share.zabbix.com/network-appliances/sophos-xg-firewall (2.2.x) \r\n* Update * \r\n- Fixed bug color \r\n- Translated some parts from French to English","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2022-03-11T07:35:14.000Z","updatedAt":"2022-03-11T07:35:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15883"},{"rel":"revisions","href":"/dashboards/15883/revisions"},{"rel":"revision","href":"/dashboards/15883/revisions/1"},{"rel":"download","href":"/dashboards/15883/revisions/1/download"},{"rel":"org","href":"/orgs/teststuff"},{"rel":"images","href":"/dashboards/15883/images"},{"rel":"thumbnails","href":"/dashboards/15883/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":16928,"status":1,"statusCode":"active","orgId":707741,"orgSlug":"sosivio","orgName":"sosivio","slug":"sosivio-dashboard","downloads":280,"revisionId":25961,"revision":1,"name":"Sosivio Dashboard","description":"Sosivio is a predictive troubleshooting platform built specifically for Kubernetes environments and applications. Instantly start observing all flavors of Kubernetes with real-time metrics, cluster health checks, and using lean AI to predict and prevent critical failure before they appear!","readme":"Sosivio looks at multiple layers of the infrastructure stack including the kernel, operating system, processes, network, container runtime, application logs, and Kubernetes layer. This granular data is fed through multiple AI/ML engines to determine the root cause of issues before they occur and provide instant remediation via a recommended command line fix.\r\n\r\nThe Sosivio Dashboard for Grafana allows users to see Sosivio Failure Alerts directly in Grafana and instantly be redirected to Sosivio UI to remediate those failures. Additionally, add context around Grafana signals with Sosivio’s root cause determination for critical failures. \r\n\r\n### Installation Steps\r\n1. Install Sosivio by downloading our automated installer [here](https://sosiv.io/try-sosivio/) or refer to our [documentation](https://docs.sosiv.io/quickstart/).  \r\n\r\n2. Apply the following ServiceMonitor Resource to your cluster:\r\n```yaml\r\napiVersion: monitoring.coreos.com/v1\r\nkind: ServiceMonitor\r\nmetadata:\r\n  name: sosivio\r\n  namespace: monitoring\r\n  labels:\r\n    app: sosivio\r\nspec:\r\n  selector:\r\n    matchLabels:\r\n      app: notifier\r\n  namespaceSelector: \r\n    matchNames:\r\n    - sosivio\r\n  endpoints:\r\n  - interval: 10s\r\n    port: http\r\n    scheme: http\r\n```\r\nif you installed sosivio in a namespace other than `sosivio` -  change the `.spec.namespaceSelector.matchNames` field to your installed namespace\r\n\r\n3. Add the Sosivio Dashboard to Grafana by using the ‘Get this Dashboard’ section on this page.\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-09-11T14:22:58.000Z","updatedAt":"2022-09-15T14:26:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/16928"},{"rel":"revisions","href":"/dashboards/16928/revisions"},{"rel":"revision","href":"/dashboards/16928/revisions/1"},{"rel":"download","href":"/dashboards/16928/revisions/1/download"},{"rel":"org","href":"/orgs/sosivio"},{"rel":"images","href":"/dashboards/16928/images"},{"rel":"thumbnails","href":"/dashboards/16928/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20074,"status":1,"statusCode":"active","orgId":1002915,"orgSlug":"snappshop","orgName":"snappshop","slug":"sotoon-cdn","downloads":279,"revisionId":30861,"revision":1,"name":"Sotoon CDN","description":"This dashboard is created for metrics from Sotoon cdn","readme":"This dashboard is created for sotoon cdn","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-12-03T15:46:40.000Z","updatedAt":"2023-12-03T16:12:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20074"},{"rel":"revisions","href":"/dashboards/20074/revisions"},{"rel":"revision","href":"/dashboards/20074/revisions/1"},{"rel":"download","href":"/dashboards/20074/revisions/1/download"},{"rel":"org","href":"/orgs/snappshop"},{"rel":"images","href":"/dashboards/20074/images"},{"rel":"thumbnails","href":"/dashboards/20074/thumbnails"}]},{"id":10740,"status":1,"statusCode":"active","orgId":277885,"orgSlug":"leojonathanoh","orgName":"leojonathanoh","slug":"source-builder-builds","downloads":788,"revisionId":16008,"revision":3,"name":"Source Builder Builds","description":"","readme":"Requires source_builder_exporter:v0.0.7-beta1 and above","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-08-18T16:08:52.000Z","updatedAt":"2019-12-14T06:32:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10740"},{"rel":"revisions","href":"/dashboards/10740/revisions"},{"rel":"revision","href":"/dashboards/10740/revisions/3"},{"rel":"download","href":"/dashboards/10740/revisions/3/download"},{"rel":"org","href":"/orgs/leojonathanoh"},{"rel":"images","href":"/dashboards/10740/images"},{"rel":"thumbnails","href":"/dashboards/10740/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4797,"status":1,"statusCode":"active","orgId":116376,"orgSlug":"r4yfx","orgName":"Raymond Setchfield","slug":"spacewalk-metrics-dashboard","downloads":889,"revisionId":6396,"revision":1,"name":"Spacewalk Metrics Dashboard","description":"Spacewalk Update Management Platform - this is a very simple dashboard, which uses a \"read-only username and password\" to speak to the spacewalk postgresql database. \r\n\r\nAll queries are setout on the dashboard. ","readme":"This is a simple template, but will require you to setup a postgresql source. \r\n\r\nThe database is \"rhnschema\" and ensure that you configure a read only user. If you need assistance for this. The URL below should help\r\nhttps://stackoverflow.com/questions/760210/how-do-you-create-a-read-only-user-in-postgresql\r\n\r\nPlease  check out https://github.com/r4yfx for further scripts and grafana dashboard done by myself","collectorType":"Telegraf","collectorConfig":"Configure the following;\r\n```\r\n [[inputs.apache]]\r\n#   ## An array of URLs to gather from, must be directed at the machine\r\n#   ## readable version of the mod_status page including the auto query string.\r\n#   ## Default is \"http://localhost/server-status?auto\".\r\nurls = [\"http://localhost/mod_status?auto\"]\r\n```","collectorPluginList":"apache","datasource":"InfluxDB, PostgreSQL","privacy":"public","createdAt":"2018-02-22T11:55:45.000Z","updatedAt":"2018-05-02T15:14:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4797"},{"rel":"revisions","href":"/dashboards/4797/revisions"},{"rel":"revision","href":"/dashboards/4797/revisions/1"},{"rel":"download","href":"/dashboards/4797/revisions/1/download"},{"rel":"org","href":"/orgs/r4yfx"},{"rel":"images","href":"/dashboards/4797/images"},{"rel":"thumbnails","href":"/dashboards/4797/thumbnails"}],"datasourceSlugs":["influxdb","postgres"]},{"id":8930,"status":1,"statusCode":"active","orgId":13233,"orgSlug":"powderedegg","orgName":"powderedegg","slug":"spacewalk-summary","downloads":356,"revisionId":12314,"revision":1,"name":"Spacewalk Summary","description":"Spacewalk Summary Screen","readme":"Spacewalk summary dashboard which uses a direct postgres connection to the Spacewalk database.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2018-11-12T16:04:56.000Z","updatedAt":"2018-11-12T16:15:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8930"},{"rel":"revisions","href":"/dashboards/8930/revisions"},{"rel":"revision","href":"/dashboards/8930/revisions/1"},{"rel":"download","href":"/dashboards/8930/revisions/1/download"},{"rel":"org","href":"/orgs/powderedegg"},{"rel":"images","href":"/dashboards/8930/images"},{"rel":"thumbnails","href":"/dashboards/8930/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":21202,"status":1,"statusCode":"active","orgId":411999,"orgSlug":"konstfish","orgName":"konstfish","slug":"service-performance-monitoring","downloads":733,"revisionId":32989,"revision":1,"name":"Span Metric Service Performance Monitoring","description":"SPM using Generated RED (Request, Error, Duration) Spanmetrics","readme":"Visualizes Spanmetrics created by the [OTel Collector Spanmetric Connector](https://github.com/open-telemetry/opentelemetry-collector-contrib/blob/main/connector/spanmetricsconnector/README.md), Grafana Alloy, or Tempo.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-03T19:32:50.000Z","updatedAt":"2024-06-03T20:03:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21202"},{"rel":"revisions","href":"/dashboards/21202/revisions"},{"rel":"revision","href":"/dashboards/21202/revisions/1"},{"rel":"download","href":"/dashboards/21202/revisions/1/download"},{"rel":"org","href":"/orgs/konstfish"},{"rel":"images","href":"/dashboards/21202/images"},{"rel":"thumbnails","href":"/dashboards/21202/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18264,"status":1,"statusCode":"active","orgId":604286,"orgSlug":"devrimdemiroz","orgName":"devrimdemiroz","slug":"spanmetrics-demo-dashboard","downloads":6219,"revisionId":28036,"revision":1,"name":"Spanmetrics Demo Dashboard","description":"Spanmetrics way of application view.","readme":"# Description\r\n\r\nSpanmetrics sample dashboard from Openetelemetry Demo App 1.4 release.For any application deriving spanmetrics.\r\n\r\n## Why Spanmetrics?\r\n\r\nOpenTelemetry SpanMetrics Processor is a popular choice for collecting metrics in a language-agnostic way. With the ability to automatically instrument code and collect metrics across a variety of programming languages, it offers ease of use and flexibility. Additionally, OpenTelemetry SpanMetrics Processor produces what is known as R.E.D. metrics, which stands for Rate, Errors, and Duration. This allows developers to quickly and easily monitor the performance of their applications in real-time, helping them to identify issues and improve the overall user experience. Overall, the combination of language-agnostic collection, auto-instrumentation, and R.E.D. metrics make OpenTelemetry SpanMetrics Processor a valuable tool for any developer looking to monitor the performance of their applications.\r\n\r\n### Notes\r\n\r\n- Spanmetrics namespace differs in Grafana agent. You might need to append a namespace in front of metrics such as calls_total. eg. trace_spanmetrics_calls_total","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-12T21:58:23.000Z","updatedAt":"2023-04-03T23:23:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18264"},{"rel":"revisions","href":"/dashboards/18264/revisions"},{"rel":"revision","href":"/dashboards/18264/revisions/1"},{"rel":"download","href":"/dashboards/18264/revisions/1/download"},{"rel":"org","href":"/orgs/devrimdemiroz"},{"rel":"images","href":"/dashboards/18264/images"},{"rel":"thumbnails","href":"/dashboards/18264/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18387,"status":1,"statusCode":"active","orgId":570977,"orgSlug":"sotgab","orgName":"sotgab","slug":"spark-emr-on-eks","downloads":661,"revisionId":28213,"revision":1,"name":"Spark - EMR On EKS","description":"Monitors spark and EKS metrics using Prometheus in Kubernetes","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-30T01:05:37.000Z","updatedAt":"2023-03-30T01:07:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18387"},{"rel":"revisions","href":"/dashboards/18387/revisions"},{"rel":"revision","href":"/dashboards/18387/revisions/1"},{"rel":"download","href":"/dashboards/18387/revisions/1/download"},{"rel":"org","href":"/orgs/sotgab"},{"rel":"images","href":"/dashboards/18387/images"},{"rel":"thumbnails","href":"/dashboards/18387/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16353,"status":1,"statusCode":"active","orgId":655573,"orgSlug":"eljah","orgName":"eljah","slug":"spark-queries-for-structured-streaming","downloads":665,"revisionId":24923,"revision":1,"name":"Spark Queries for Structured Streaming","description":"Just plotting of all metrics, produced by enabled Prometheus output of Spark Structured Streaming jobs","readme":"To prometheus.yaml add \r\n---\r\nlowercaseOutputName: true\r\nattrNameSnakeCase: true\r\nrules:\r\n  # These come from the application driver if it's a streaming application\r\n  # Example: default/streaming.driver.com.example.ClassName.StreamingMetrics.streaming.lastCompletedBatch_schedulingDelay\r\n  - pattern: metrics<name=(\\S+)\\.(\\S+)\\.driver\\.(\\S+)\\.StreamingMetrics\\.streaming\\.(\\S+)><>Value\r\n    name: spark_streaming_driver_$4\r\n    type: GAUGE\r\n    labels:\r\n      app_namespace: \"$1\"\r\n      app_id: \"$2\"\r\n  # These come from the application driver if it's a structured streaming application\r\n  # Example: default/sstreaming.driver.spark.streaming.QueryName.inputRate-total\r\n  - pattern: metrics<name=(\\S+)\\.(\\S+)\\.driver\\.spark\\.streaming\\.(\\S+)\\.(\\S+)><>Value\r\n    name: spark_structured_streaming_driver_$4\r\n    type: GAUGE\r\n    labels:\r\n      app_namespace: \"$1\"\r\n      app_id: \"$2\"\r\n      query_name: \"$3\"\r\n\r\n  # These come from the application driver if it's a streaming application\r\n  # Example: app-20160809000059-0000.driver.com.example.ClassName.StreamingMetrics.streaming.lastCompletedBatch_schedulingDelay\r\n  - pattern: \"metrics<name=(.*)\\\\.driver\\\\.(.*)\\\\.StreamingMetrics\\\\.streaming\\\\.(.*)><>Value\"\r\n    name: spark_driver_streaming_$3\r\n    type: GAUGE\r\n    labels:\r\n      app_id: \"$1\"\r\n      app_name: \"$2\"\r\n\r\n  # These come from the application driver if it's a structured streaming application\r\n  # Example: app-20160809000059-0000.driver.spark.streaming.QueryName.inputRate-total\r\n  - pattern: \"metrics<name=(.*)\\\\.driver\\\\.spark\\\\.streaming\\\\.(.*)\\\\.(.*)><>Value\"\r\n    name: spark_driver_structured_streaming_$3_$2\r\n    type: GAUGE\r\n    labels:\r\n      app_id: \"$1\"\r\n      query_name: \"$2\"\r\n  # These come from the application executors\r\n  # Example: default/spark-pi.0.executor.threadpool.activeTasks\r\n  - pattern: metrics<name=(\\S+)\\.(\\S+)\\.(\\S+)\\.executor\\.(\\S+)><>Value\r\n    name: spark_executor_$4\r\n    type: GAUGE\r\n    labels:\r\n      app_namespace: \"$1\"\r\n      app_id: \"$2\"\r\n      executor_id: \"$3\"\r\n  # These come from the application driver\r\n  # Example: default/spark-pi.driver.DAGScheduler.stage.failedStages\r\n  - pattern: metrics<name=(\\S+)\\.(\\S+)\\.driver\\.(BlockManager|DAGScheduler|jvm)\\.(\\S+)><>Value\r\n    name: spark_driver_$3_$4\r\n    type: GAUGE\r\n    labels:\r\n      app_namespace: \"$1\"\r\n      app_id: \"$2\"\r\n  # These come from the application driver\r\n  # Emulate timers for DAGScheduler like messagePRocessingTime\r\n  - pattern: metrics<name=(\\S+)\\.(\\S+)\\.driver\\.DAGScheduler\\.(.*)><>Count\r\n    name: spark_driver_DAGScheduler_$3_count\r\n    type: COUNTER\r\n    labels:\r\n      app_namespace: \"$1\"\r\n      app_id: \"$2\"\r\n  # HiveExternalCatalog is of type counter\r\n  - pattern: metrics<name=(\\S+)\\.(\\S+)\\.driver\\.HiveExternalCatalog\\.(.*)><>Count\r\n    name: spark_driver_HiveExternalCatalog_$3_count\r\n    type: COUNTER\r\n    labels:\r\n      app_namespace: \"$1\"\r\n      app_id: \"$2\"\r\n  # These come from the application driver\r\n  # Emulate histograms for CodeGenerator\r\n  - pattern: metrics<name=(\\S+)\\.(\\S+)\\.driver\\.CodeGenerator\\.(.*)><>Count\r\n    name: spark_driver_CodeGenerator_$3_count\r\n    type: COUNTER\r\n    labels:\r\n      app_namespace: \"$1\"\r\n      app_id: \"$2\"\r\n  # These come from the application driver\r\n  # Emulate timer (keep only count attribute) plus counters for LiveListenerBus\r\n  - pattern: metrics<name=(\\S+)\\.(\\S+)\\.driver\\.LiveListenerBus\\.(.*)><>Count\r\n    name: spark_driver_LiveListenerBus_$3_count\r\n    type: COUNTER\r\n    labels:\r\n      app_namespace: \"$1\"\r\n      app_id: \"$2\"\r\n  # Get Gauge type metrics for LiveListenerBus\r\n  - pattern: metrics<name=(\\S+)\\.(\\S+)\\.driver\\.LiveListenerBus\\.(.*)><>Value\r\n    name: spark_driver_LiveListenerBus_$3\r\n    type: GAUGE\r\n    labels:\r\n      app_namespace: \"$1\"\r\n      app_id: \"$2\"\r\n  # Executors counters\r\n  - pattern: metrics<name=(\\S+)\\.(\\S+)\\.(.*)\\.executor\\.(.*)><>Count\r\n    name: spark_executor_$4_count\r\n    type: COUNTER\r\n    labels:\r\n      app_namespace: \"$1\"\r\n      app_id: \"$2\"\r\n      executor_id: \"$3\"\r\n  # These come from the application executors\r\n  # Example: app-20160809000059-0000.0.jvm.threadpool.activeTasks\r\n  - pattern: metrics<name=(\\S+)\\.(\\S+)\\.([0-9]+)\\.(jvm|NettyBlockTransfer)\\.(.*)><>Value\r\n    name: spark_executor_$4_$5\r\n    type: GAUGE\r\n    labels:\r\n      app_namespace: \"$1\"\r\n      app_id: \"$2\"\r\n      executor_id: \"$3\"\r\n  - pattern: metrics<name=(\\S+)\\.(\\S+)\\.([0-9]+)\\.HiveExternalCatalog\\.(.*)><>Count\r\n    name: spark_executor_HiveExternalCatalog_$4_count\r\n    type: COUNTER\r\n    labels:\r\n      app_namespace: \"$1\"\r\n      app_id: \"$2\"\r\n      executor_id: \"$3\"\r\n  # These come from the application driver\r\n  # Emulate histograms for CodeGenerator\r\n  - pattern: metrics<name=(\\S+)\\.(\\S+)\\.([0-9]+)\\.CodeGenerator\\.(.*)><>Count\r\n    name: spark_executor_CodeGenerator_$4_count\r\n    type: COUNTER\r\n    labels:\r\n      app_namespace: \"$1\"\r\n      app_id: \"$2\"\r\n      executor_id: \"$3\"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-05-31T21:13:04.000Z","updatedAt":"2022-05-31T21:21:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16353"},{"rel":"revisions","href":"/dashboards/16353/revisions"},{"rel":"revision","href":"/dashboards/16353/revisions/1"},{"rel":"download","href":"/dashboards/16353/revisions/1/download"},{"rel":"org","href":"/orgs/eljah"},{"rel":"images","href":"/dashboards/16353/images"},{"rel":"thumbnails","href":"/dashboards/16353/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17863,"status":1,"statusCode":"active","orgId":728444,"orgSlug":"rajendrakoduru","orgName":"rajendrakoduru","slug":"spark-perf-dashboard-v01","downloads":359,"revisionId":27393,"revision":1,"name":"Spark_Perf_Dashboard_v01","description":"yrtff","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-01-11T15:09:38.000Z","updatedAt":"2023-01-11T15:10:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17863"},{"rel":"revisions","href":"/dashboards/17863/revisions"},{"rel":"revision","href":"/dashboards/17863/revisions/1"},{"rel":"download","href":"/dashboards/17863/revisions/1/download"},{"rel":"org","href":"/orgs/rajendrakoduru"},{"rel":"images","href":"/dashboards/17863/images"},{"rel":"thumbnails","href":"/dashboards/17863/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23032,"status":1,"statusCode":"active","orgId":1369093,"orgSlug":"alanty","orgName":"alanty","slug":"spark-operator-scale-test-dashboard","downloads":941,"revisionId":36383,"revision":1,"name":"Spark-Operator Scale Test Dashboard","description":"Dashboard with metrics from spark-operator and Kubernetes metrics for visibility into the operator's performance.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-03-06T21:39:12.000Z","updatedAt":"2025-03-06T21:41:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23032"},{"rel":"revisions","href":"/dashboards/23032/revisions"},{"rel":"revision","href":"/dashboards/23032/revisions/1"},{"rel":"download","href":"/dashboards/23032/revisions/1/download"},{"rel":"org","href":"/orgs/alanty"},{"rel":"images","href":"/dashboards/23032/images"},{"rel":"thumbnails","href":"/dashboards/23032/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11137,"status":1,"statusCode":"active","orgId":310180,"orgSlug":"scottdoyland","orgName":"scottdoyland","slug":"spectrum-protect-nodes","downloads":348,"revisionId":15551,"revision":1,"name":"Spectrum Protect (TSM) - 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You will need to tweak these to your own environment.\nThe sp_functions.sh script along with the admin_password file will define aliases that the main scripts use (just how I decided to do it, you can always put the dsmadmc command itself directly in the main scripts).\n\nAll the scripts do is read in a list of SP server names, and issue (via an alias) the dsmadmc command to run select statements.\nThe output from the select statements is redirected to a file which is in a format that InfluxDB can ingest.\n\nYou will need to alter directories, names etc so as to fit with your own environment.\n\nhttps://drive.google.com/file/d/1xfjEdRJSjNLmb3fgH3sMJCUuu1cY_qmL/view?usp=sharing\n\nhttps://drive.google.com/file/d/126ikHyfbkJf5wW7GKvPvAg6P_atcOtmP/view?usp=sharing\n\nhttps://drive.google.com/file/d/1Is3bjxWEp-ltpMKXonC3IwJB2MPGrpbf/view?usp=sharing\n\nhttps://drive.google.com/file/d/1drL30KgONpDIHeqvUROx65S8nqIc51SU/view?usp=sharing\n\nhttps://drive.google.com/file/d/1S2Bd-keP3bsuumJy1osk7TxLuX3saUz5/view?usp=sharing\n\n\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-11-08T11:01:12.000Z","updatedAt":"2019-12-19T14:34:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11137"},{"rel":"revisions","href":"/dashboards/11137/revisions"},{"rel":"revision","href":"/dashboards/11137/revisions/1"},{"rel":"download","href":"/dashboards/11137/revisions/1/download"},{"rel":"org","href":"/orgs/scottdoyland"},{"rel":"images","href":"/dashboards/11137/images"},{"rel":"thumbnails","href":"/dashboards/11137/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11136,"status":1,"statusCode":"active","orgId":310180,"orgSlug":"scottdoyland","orgName":"scottdoyland","slug":"spectrum-protect-servers","downloads":547,"revisionId":15550,"revision":1,"name":"Spectrum Protect (TSM) - servers","description":"Spectrum Protect metrics","readme":"IBM Spectrum Protect data is collected via shell scripts running dsmadmc \"SELECT\" commands from a central server and then imported to InfluxDB.\n\nDropdown list of servers is available as a dashboard variable.\n\nScripts available as below.  You will need to tweak these to your own environment.\nThe sp_functions.sh script along with the admin_password file will define aliases that the main scripts use (just how I decided to do it, you can always put the dsmadmc command itself directly in the main scripts).\n\nAll the scripts do is read in a list of SP server names, and issue (via an alias) the dsmadmc command to run select statements.\nThe output from the select statements is redirected to a file which is in a format that InfluxDB can ingest.\n\nYou will need to alter directories, names etc so as to fit with your own environment.\n\nhttps://drive.google.com/file/d/1xfjEdRJSjNLmb3fgH3sMJCUuu1cY_qmL/view?usp=sharing\n\nhttps://drive.google.com/file/d/126ikHyfbkJf5wW7GKvPvAg6P_atcOtmP/view?usp=sharing\n\nhttps://drive.google.com/file/d/1Is3bjxWEp-ltpMKXonC3IwJB2MPGrpbf/view?usp=sharing\n\nhttps://drive.google.com/file/d/1drL30KgONpDIHeqvUROx65S8nqIc51SU/view?usp=sharing\n\nhttps://drive.google.com/file/d/1S2Bd-keP3bsuumJy1osk7TxLuX3saUz5/view?usp=sharing\n\n\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-11-08T10:56:00.000Z","updatedAt":"2019-12-19T14:33:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11136"},{"rel":"revisions","href":"/dashboards/11136/revisions"},{"rel":"revision","href":"/dashboards/11136/revisions/1"},{"rel":"download","href":"/dashboards/11136/revisions/1/download"},{"rel":"org","href":"/orgs/scottdoyland"},{"rel":"images","href":"/dashboards/11136/images"},{"rel":"thumbnails","href":"/dashboards/11136/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11138,"status":1,"statusCode":"active","orgId":310180,"orgSlug":"scottdoyland","orgName":"scottdoyland","slug":"spectrum-protect-top-ranking","downloads":362,"revisionId":15616,"revision":2,"name":"Spectrum Protect (TSM) - top ranking","description":"Spectrum Protect metrics","readme":"IBM Spectrum Protect data is collected via shell scripts running dsmadmc \"SELECT\" commands from a central server and then imported to InfluxDB.\n\nDropdown list of servers is available as a dashboard variable.\n\nScripts available as below.  You will need to tweak these to your own environment.\nThe sp_functions.sh script along with the admin_password file will define aliases that the main scripts use (just how I decided to do it, you can always put the dsmadmc command itself directly in the main scripts).\n\nAll the scripts do is read in a list of SP server names, and issue (via an alias) the dsmadmc command to run select statements.\nThe output from the select statements is redirected to a file which is in a format that InfluxDB can ingest.\n\nYou will need to alter directories, names etc so as to fit with your own environment.\n\nhttps://drive.google.com/file/d/1xfjEdRJSjNLmb3fgH3sMJCUuu1cY_qmL/view?usp=sharing\n\nhttps://drive.google.com/file/d/126ikHyfbkJf5wW7GKvPvAg6P_atcOtmP/view?usp=sharing\n\nhttps://drive.google.com/file/d/1Is3bjxWEp-ltpMKXonC3IwJB2MPGrpbf/view?usp=sharing\n\nhttps://drive.google.com/file/d/1drL30KgONpDIHeqvUROx65S8nqIc51SU/view?usp=sharing\n\nhttps://drive.google.com/file/d/1S2Bd-keP3bsuumJy1osk7TxLuX3saUz5/view?usp=sharing\n\n\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-11-08T11:02:06.000Z","updatedAt":"2019-12-19T14:34:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/11138"},{"rel":"revisions","href":"/dashboards/11138/revisions"},{"rel":"revision","href":"/dashboards/11138/revisions/2"},{"rel":"download","href":"/dashboards/11138/revisions/2/download"},{"rel":"org","href":"/orgs/scottdoyland"},{"rel":"images","href":"/dashboards/11138/images"},{"rel":"thumbnails","href":"/dashboards/11138/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13753,"status":1,"statusCode":"active","orgId":232716,"orgSlug":"bluecmd","orgName":"bluecmd","slug":"v7000","downloads":513,"revisionId":20100,"revision":1,"name":"Spectrum Virtualize Overview","description":"Dashboard for graphing IBM Spectrum Virtualize (like IBM Storwize V7000) using Prometheus as a data source.","readme":"Dashboard for graphing IBM Spectrum Virtualize (like IBM Storwize V7000).\n\nUsing the Prometheus exporter https://github.com/bluecmd/spectrum_virtualize_exporter.\n\nThis is not an official IBM dashboard or endorsed by IBM in any way. Storwize and Spectrum Virtualize is probably trademarked by IBM.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-20T17:04:51.000Z","updatedAt":"2021-01-20T17:10:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13753"},{"rel":"revisions","href":"/dashboards/13753/revisions"},{"rel":"revision","href":"/dashboards/13753/revisions/1"},{"rel":"download","href":"/dashboards/13753/revisions/1/download"},{"rel":"org","href":"/orgs/bluecmd"},{"rel":"images","href":"/dashboards/13753/images"},{"rel":"thumbnails","href":"/dashboards/13753/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16252,"status":1,"statusCode":"active","orgId":613970,"orgSlug":"willshengp","orgName":"willshengp","slug":"speedify-service","downloads":277,"revisionId":24690,"revision":1,"name":"Speedify Exporter Dashboard","description":"Grafana dashboard for metrics exported using Speedify Exporter. https://github.com/willshen/speedify_exporter","readme":"Grafana dashboard for metrics exported using Speedify Exporter.\r\n\r\nhttps://github.com/willshen/speedify_exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-05-10T04:25:01.000Z","updatedAt":"2022-05-10T04:29:40.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16252"},{"rel":"revisions","href":"/dashboards/16252/revisions"},{"rel":"revision","href":"/dashboards/16252/revisions/1"},{"rel":"download","href":"/dashboards/16252/revisions/1/download"},{"rel":"org","href":"/orgs/willshengp"},{"rel":"images","href":"/dashboards/16252/images"},{"rel":"thumbnails","href":"/dashboards/16252/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14336,"status":1,"statusCode":"active","orgId":479931,"orgSlug":"dwillcocks","orgName":"Willcocks","slug":"speedtest","downloads":2024,"revisionId":21978,"revision":2,"name":"Speedtest","description":"Speedtest metrics","readme":"https://github.com/danopstech/speedtest_exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-04-29T17:59:47.000Z","updatedAt":"2021-07-26T20:17:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14336"},{"rel":"revisions","href":"/dashboards/14336/revisions"},{"rel":"revision","href":"/dashboards/14336/revisions/2"},{"rel":"download","href":"/dashboards/14336/revisions/2/download"},{"rel":"org","href":"/orgs/dwillcocks"},{"rel":"images","href":"/dashboards/14336/images"},{"rel":"thumbnails","href":"/dashboards/14336/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13053,"status":1,"statusCode":"active","orgId":383093,"orgSlug":"breadlysm","orgName":"breadlysm","slug":"speedtest","downloads":1892,"revisionId":18909,"revision":1,"name":"SpeedTest","description":"A dashboard to display speedtest data overtime. ","readme":"The data in this dash is populated by Ookla speedtest CLI. More details on it can be found at https://github.com/breadlysm/speedtest-to-influxdb \n\nSome of the graphs do use tag data. The docker container has  the ability to tag the data with a lot of different options. I currently am tagging each with isp, external_ip, server_id, server_name, server_location, speedtest_url. ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-09-23T02:00:33.000Z","updatedAt":"2020-09-23T02:10:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13053"},{"rel":"revisions","href":"/dashboards/13053/revisions"},{"rel":"revision","href":"/dashboards/13053/revisions/1"},{"rel":"download","href":"/dashboards/13053/revisions/1/download"},{"rel":"org","href":"/orgs/breadlysm"},{"rel":"images","href":"/dashboards/13053/images"},{"rel":"thumbnails","href":"/dashboards/13053/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14187,"status":1,"statusCode":"active","orgId":153460,"orgSlug":"caarlos0","orgName":"Carlos Becker","slug":"speedtest","downloads":423,"revisionId":29526,"revision":4,"name":"Speedtest","description":"Speedtest metrics.","readme":"Intented to be used with https://github.com/caarlos0/speedtest-exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-04-06T00:37:27.000Z","updatedAt":"2023-07-31T02:25:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14187"},{"rel":"revisions","href":"/dashboards/14187/revisions"},{"rel":"revision","href":"/dashboards/14187/revisions/4"},{"rel":"download","href":"/dashboards/14187/revisions/4/download"},{"rel":"org","href":"/orgs/caarlos0"},{"rel":"images","href":"/dashboards/14187/images"},{"rel":"thumbnails","href":"/dashboards/14187/thumbnails"}]},{"id":15808,"status":1,"statusCode":"active","orgId":332392,"orgSlug":"tinoschroeter","orgName":"tinoschroeter","slug":"speedtest","downloads":330,"revisionId":23967,"revision":3,"name":"Speedtest","description":"Speedtest metrics","readme":"# Speedtest Dashboard\r\n\r\n [prometheus_exporter](https://github.com/tinoschroeter/breitbandmessung)\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-02-24T16:34:01.000Z","updatedAt":"2022-02-28T10:36:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15808"},{"rel":"revisions","href":"/dashboards/15808/revisions"},{"rel":"revision","href":"/dashboards/15808/revisions/3"},{"rel":"download","href":"/dashboards/15808/revisions/3/download"},{"rel":"org","href":"/orgs/tinoschroeter"},{"rel":"images","href":"/dashboards/15808/images"},{"rel":"thumbnails","href":"/dashboards/15808/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16821,"status":1,"statusCode":"active","orgId":425872,"orgSlug":"gschimmel","orgName":"gschimmel","slug":"speedtest","downloads":308,"revisionId":25787,"revision":1,"name":"Speedtest","description":"Display Ookla speedtest results.","readme":"Use the exec plugin in order to run ookla speedtest in json output mode\r\n\r\n```\r\n[[inputs.exec]]\r\n  interval = \"300s\"\r\n\r\n  # Shell/commands array\r\n  # Full command line to executable with parameters, or a glob pattern to run all matching files.\r\n  commands = [\"/usr/bin/speedtest -f json --accept-license\"]\r\n\r\n  ## Timeout for each command to complete.\r\n  timeout = \"60s\"\r\n\r\n  # Data format to consume.\r\n  # NOTE json only reads numerical measurements, strings and booleans are ignored.\r\n  data_format = \"json\"\r\n\r\n  # measurement name suffix (for separating different commands)\r\n  name_suffix = \"_speedtest\"\r\n```\r\n","collectorType":"Telegraf","collectorConfig":"Make sure you have the ookla speedtest cli installed:\r\n\r\n`https://www.speedtest.net/apps/cli`\r\n\r\n","collectorPluginList":"exec","datasource":"InfluxDB","privacy":"public","createdAt":"2022-08-31T12:25:11.000Z","updatedAt":"2022-08-31T12:30:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16821"},{"rel":"revisions","href":"/dashboards/16821/revisions"},{"rel":"revision","href":"/dashboards/16821/revisions/1"},{"rel":"download","href":"/dashboards/16821/revisions/1/download"},{"rel":"org","href":"/orgs/gschimmel"},{"rel":"images","href":"/dashboards/16821/images"},{"rel":"thumbnails","href":"/dashboards/16821/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18160,"status":1,"statusCode":"active","orgId":802219,"orgSlug":"sdun6401","orgName":"sdun6401","slug":"speedtest","downloads":260,"revisionId":27888,"revision":1,"name":"SpeedTest","description":"A dashboard to display speedtest data overtime. ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-02-23T14:39:19.000Z","updatedAt":"2023-02-23T14:39:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18160"},{"rel":"revisions","href":"/dashboards/18160/revisions"},{"rel":"revision","href":"/dashboards/18160/revisions/1"},{"rel":"download","href":"/dashboards/18160/revisions/1/download"},{"rel":"org","href":"/orgs/sdun6401"},{"rel":"images","href":"/dashboards/18160/images"},{"rel":"thumbnails","href":"/dashboards/18160/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18777,"status":1,"statusCode":"active","orgId":860011,"orgSlug":"kalberdev","orgName":"kalberdev","slug":"speedtest","downloads":272,"revisionId":28799,"revision":1,"name":"SpeedTest","description":"A dashboard to display speedtest data overtime. ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-05-18T16:56:27.000Z","updatedAt":"2023-05-18T16:56:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18777"},{"rel":"revisions","href":"/dashboards/18777/revisions"},{"rel":"revision","href":"/dashboards/18777/revisions/1"},{"rel":"download","href":"/dashboards/18777/revisions/1/download"},{"rel":"org","href":"/orgs/kalberdev"},{"rel":"images","href":"/dashboards/18777/images"},{"rel":"thumbnails","href":"/dashboards/18777/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23219,"status":1,"statusCode":"active","orgId":611958,"orgSlug":"andreasbrinkmann99","orgName":"andreasbrinkmann99","slug":"speedtest","downloads":246,"revisionId":36779,"revision":1,"name":"SpeedTest","description":"A dashboard to display speedtest data overtime. ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-04-08T20:00:15.000Z","updatedAt":"2025-04-08T20:00:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23219"},{"rel":"revisions","href":"/dashboards/23219/revisions"},{"rel":"revision","href":"/dashboards/23219/revisions/1"},{"rel":"download","href":"/dashboards/23219/revisions/1/download"},{"rel":"org","href":"/orgs/andreasbrinkmann99"},{"rel":"images","href":"/dashboards/23219/images"},{"rel":"thumbnails","href":"/dashboards/23219/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10221,"status":1,"statusCode":"active","orgId":235831,"orgSlug":"edasque","orgName":"Erik Dasque","slug":"speedtest-shared","downloads":414,"revisionId":14290,"revision":2,"name":"SpeedTest - Shared","description":"Relies on https://hub.docker.com/r/edasque/speedtest-to-statsd ending up in Graphite","readme":"Relies on https://hub.docker.com/r/edasque/speedtest-to-statsd ending up in Graphite or another datasource","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2019-05-17T11:51:50.000Z","updatedAt":"2019-05-17T12:01:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10221"},{"rel":"revisions","href":"/dashboards/10221/revisions"},{"rel":"revision","href":"/dashboards/10221/revisions/2"},{"rel":"download","href":"/dashboards/10221/revisions/2/download"},{"rel":"org","href":"/orgs/edasque"},{"rel":"images","href":"/dashboards/10221/images"},{"rel":"thumbnails","href":"/dashboards/10221/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":11229,"status":1,"statusCode":"active","orgId":129319,"orgSlug":"dcagatay","orgName":"Doğukan Çağatay","slug":"speedtest-dashboard","downloads":969,"revisionId":15674,"revision":1,"name":"Speedtest Dashboard","description":"A dashboard for Prometheus Speedtest Exporter","readme":"A dashboard for [prometheus-speedtest](https://pypi.org/project/prometheus-speedtest/) exporter, showing the timelines and current values for download, upload speeds and ping times.\n\nYou can install the exporter from [https://pypi.org/project/prometheus-speedtest/](https://pypi.org/project/prometheus-speedtest/)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-19T15:27:07.000Z","updatedAt":"2019-11-19T15:35:13.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11229"},{"rel":"revisions","href":"/dashboards/11229/revisions"},{"rel":"revision","href":"/dashboards/11229/revisions/1"},{"rel":"download","href":"/dashboards/11229/revisions/1/download"},{"rel":"org","href":"/orgs/dcagatay"},{"rel":"images","href":"/dashboards/11229/images"},{"rel":"thumbnails","href":"/dashboards/11229/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13306,"status":1,"statusCode":"active","orgId":356761,"orgSlug":"rostislavz","orgName":"rostislavz","slug":"speed-test-dashboard","downloads":451,"revisionId":19335,"revision":1,"name":"Speedtest dashboard","description":"Dashboard for speediest.net cli prometheus exporter","readme":"I used docker, so my solution is pretty universal. If you want *quick start* docker would be best scenario or you can make everything by yourself.\r\n\r\n## Prerequisites:\r\n\r\nYou'll need next\r\n1. [Docker](https://docs.docker.com/get-started/)\r\n2. [Prometheus image](https://hub.docker.com/r/prom/prometheus/) \r\n3. [Speedtest exporter image](https://hub.docker.com/r/jraviles/prometheus_speedtest) \r\n\r\n## Setup\r\n\r\n 1. Run speed test exporter:\r\n\r\n\r\n\t    docker run -d --net prometheus_network -p 9516:9516/tcp \\\\\r\n\t    --name prometheus_speedtest jraviles/prometheus_speedtest:latest\r\n2. Create config file for Prometheus `prometheus.yml` in directory where you going run Prometheus container:\r\n\r\n\t    global:\r\n\t      scrape_interval: 2m\r\n\t      scrape_timeout: 2m\r\n\t    \r\n\t    scrape_configs:\r\n\t    - job_name: 'speedtest'\r\n\t      metrics_path: /probe\r\n\t      static_configs:\r\n\t      - targets:\r\n\t        - prometheus_speedtest:9516\r\n\r\n \r\n3. Run Prometheus:\r\n\r\n\t    docker run -d --net prometheus_network -p 9090:9090/tcp \\\r\n\t    -v $PWD/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml \\\r\n\t    --name prometheus prom/prometheus:latest\r\n\r\n4. Add your prometheus as datasource for your Grafana.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-29T21:01:38.000Z","updatedAt":"2020-10-29T21:49:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13306"},{"rel":"revisions","href":"/dashboards/13306/revisions"},{"rel":"revision","href":"/dashboards/13306/revisions/1"},{"rel":"download","href":"/dashboards/13306/revisions/1/download"},{"rel":"org","href":"/orgs/rostislavz"},{"rel":"images","href":"/dashboards/13306/images"},{"rel":"thumbnails","href":"/dashboards/13306/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20115,"status":1,"statusCode":"active","orgId":856101,"orgSlug":"heathcliff","orgName":"heathcliff","slug":"speedtest-dashboard","downloads":441,"revisionId":39299,"revision":4,"name":"Speedtest Dashboard","description":"for usage with https://github.com/heathcliff26/containers/tree/main/apps/speedtest-exporter","readme":"More details can be found here: https://github.com/heathcliff26/containers/tree/main/apps/speedtest-exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-12-08T11:19:32.000Z","updatedAt":"2025-12-11T16:03:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20115"},{"rel":"revisions","href":"/dashboards/20115/revisions"},{"rel":"revision","href":"/dashboards/20115/revisions/4"},{"rel":"download","href":"/dashboards/20115/revisions/4/download"},{"rel":"org","href":"/orgs/heathcliff"},{"rel":"images","href":"/dashboards/20115/images"},{"rel":"thumbnails","href":"/dashboards/20115/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11988,"status":1,"statusCode":"active","orgId":364552,"orgSlug":"hugo2xtreme","orgName":"hugo2xtreme","slug":"internet-speed","downloads":339,"revisionId":17037,"revision":1,"name":"Speedtest Exporter","description":"Dashboard for my Speedtest exporter","readme":"Dashboard for my Speedtest exporter.\r\n\r\nGithub link:\r\nhttps://github.com/h2xtreme/prometheus-speedtest-exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-27T00:24:13.000Z","updatedAt":"2020-03-27T00:27:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11988"},{"rel":"revisions","href":"/dashboards/11988/revisions"},{"rel":"revision","href":"/dashboards/11988/revisions/1"},{"rel":"download","href":"/dashboards/11988/revisions/1/download"},{"rel":"org","href":"/orgs/hugo2xtreme"},{"rel":"images","href":"/dashboards/11988/images"},{"rel":"thumbnails","href":"/dashboards/11988/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12473,"status":1,"statusCode":"active","orgId":364552,"orgSlug":"hugo2xtreme","orgName":"hugo2xtreme","slug":"internet-speed","downloads":459,"revisionId":17884,"revision":1,"name":"Speedtest Exporter v2","description":"Dashboard for my Speedtest exporter.\r\n\r\nV2 has a results table with:\r\n\r\n- Time\r\n- Speedtest Server ID\r\n- Speedtest Server Name\r\n- Share URL\r\n- Uploaded and downloaded bytes","readme":"Visit my github page for full details on how to implement this dashboard\r\n\r\nGithub link: https://github.com/h2xtreme/prometheus-speedtest-exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-06-14T23:08:49.000Z","updatedAt":"2020-06-14T23:13:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12473"},{"rel":"revisions","href":"/dashboards/12473/revisions"},{"rel":"revision","href":"/dashboards/12473/revisions/1"},{"rel":"download","href":"/dashboards/12473/revisions/1/download"},{"rel":"org","href":"/orgs/hugo2xtreme"},{"rel":"images","href":"/dashboards/12473/images"},{"rel":"thumbnails","href":"/dashboards/12473/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12350,"status":1,"statusCode":"active","orgId":385791,"orgSlug":"ajeje93","orgName":"ajeje93","slug":"speedtest-mongodb","downloads":804,"revisionId":34963,"revision":10,"name":"Speedtest MongoDB","description":"Visualize speedtest-cli (by Ookla) data in MongoDB","readme":"Data is collected through speedtest-cli by Ookla (<https://www.speedtest.net/it/apps/cli>). \r\n\r\nYou can refer to the application published at <https://github.com/ajeje93/speedtest-to-mongodb> for more info about how data is retrieved and stored on MongoDB.\r\n\r\nVisit <https://github.com/SiemaApplications-attic/mongodb-grafana> for the MongoDB datasource plugin. Visiting <https://github.com/ajeje93/grafana-mongodb-docker> you can find a container with Grafana and the MongoDB datasource plugin already installed.\r\n\r\nIcons made by [Freepik](http://www.freepik.com/ \"Freepik\") from [Flaticon](https://www.flaticon.com/ \"Flaticon\").","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"MongoDB","privacy":"public","createdAt":"2020-05-24T10:19:23.000Z","updatedAt":"2024-11-09T21:32:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/12350"},{"rel":"revisions","href":"/dashboards/12350/revisions"},{"rel":"revision","href":"/dashboards/12350/revisions/10"},{"rel":"download","href":"/dashboards/12350/revisions/10/download"},{"rel":"org","href":"/orgs/ajeje93"},{"rel":"images","href":"/dashboards/12350/images"},{"rel":"thumbnails","href":"/dashboards/12350/thumbnails"}],"datasourceSlugs":["grafana-mongodb-opensource-datasource"]},{"id":13656,"status":1,"statusCode":"active","orgId":451486,"orgSlug":"koekra","orgName":"koekra","slug":"speedtest-mongodb","downloads":349,"revisionId":19942,"revision":1,"name":"Speedtest MongoDB","description":"Visualize speedtest-cli (by Ookla) data in MongoDB","readme":"https://www.getpostman.com/collections/5086931755ae4fa55359.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"MongoDB","privacy":"public","createdAt":"2020-12-31T02:29:55.000Z","updatedAt":"2020-12-31T02:32:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13656"},{"rel":"revisions","href":"/dashboards/13656/revisions"},{"rel":"revision","href":"/dashboards/13656/revisions/1"},{"rel":"download","href":"/dashboards/13656/revisions/1/download"},{"rel":"org","href":"/orgs/koekra"},{"rel":"images","href":"/dashboards/13656/images"},{"rel":"thumbnails","href":"/dashboards/13656/thumbnails"}],"datasourceSlugs":["grafana-mongodb-datasource"]},{"id":16339,"status":1,"statusCode":"active","orgId":535454,"orgSlug":"alexdelprete","orgName":"alexdelprete","slug":"speedtest-tracker","downloads":415,"revisionId":24896,"revision":1,"name":"SpeedTest Tracker","description":"A dashboard to display data exported by Speedtest Tracker","readme":"This dashboard shows data collected by Speedtest Tracker (https://github.com/henrywhitaker3/Speedtest-Tracker) and exported natively in an InfluxDB instance.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-05-27T12:15:38.000Z","updatedAt":"2022-05-27T12:18:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16339"},{"rel":"revisions","href":"/dashboards/16339/revisions"},{"rel":"revision","href":"/dashboards/16339/revisions/1"},{"rel":"download","href":"/dashboards/16339/revisions/1/download"},{"rel":"org","href":"/orgs/alexdelprete"},{"rel":"images","href":"/dashboards/16339/images"},{"rel":"thumbnails","href":"/dashboards/16339/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24608,"status":1,"statusCode":"active","orgId":1191240,"orgSlug":"crazywolf13","orgName":"crazywolf13","slug":"speedtest-tracker","downloads":163,"revisionId":39741,"revision":5,"name":"Speedtest Tracker","description":"A dashboard to display data exported by Speedtest Tracker","readme":"A dashboard to display data exported by Speedtest Tracker v2.\r\n\r\nThis dashboard shows data collected by Speedtest Tracker v2 https://github.com/alexjustesen/speedtest-tracker and exported with Prometheus.\r\n\r\nCheck the Github Repository for more info:\r\nhttps://github.com/CrazyWolf13/Speedtest-Tracker-Prometheus","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-12-25T22:54:59.000Z","updatedAt":"2026-02-02T08:41:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24608"},{"rel":"revisions","href":"/dashboards/24608/revisions"},{"rel":"revision","href":"/dashboards/24608/revisions/5"},{"rel":"download","href":"/dashboards/24608/revisions/5/download"},{"rel":"org","href":"/orgs/crazywolf13"},{"rel":"images","href":"/dashboards/24608/images"},{"rel":"thumbnails","href":"/dashboards/24608/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16428,"status":1,"statusCode":"active","orgId":661981,"orgSlug":"masterwishx","orgName":"masterwishx","slug":"speedtest-tracker","downloads":743,"revisionId":25052,"revision":1,"name":"Speedtest Tracker - InfluxDBv2","description":"A dashboard to display data exported by Speedtest Tracker to InfluxDBv1 on bucket in InfluxDBv2.\r\n\r\n(So we can use InfluxDBv2  with Speedtest Tracker witch support only InfluxDBv1 , for now)","readme":"Guide for using Influxdb v2 with Speedtest-Tracker Avalible Now at Grafana Dashboard 16428 (https://grafana.com/grafana/dashboards/16428-speedtest-tracker)\r\n(https://github.com/masterwishx/speedtest-tracker-influxdbv2)\r\n\r\n\r\nThis dashboard shows data collected by Speedtest Tracker (https://github.com/henrywhitaker3/Speedtest-Tracker) and exported in an InfluxDBv1 database witch is connected to InfluxDBv2 bucket.\r\n\r\n\r\nInfluxDBv1 client connect to InfluxDBv2\r\n\r\n1. create bucket in InfluxDBv2\r\n\r\n2.1 create or use exist API token (ALL ACCESS) for create dbv1 and auth.\r\n\r\n2.2 create API token (read/write) for this bucket to use with Grafana.\r\n\r\n3. Enter in Console of InfluxDBv2.\r\n\r\n4. Make DB:\r\n\r\ninflux v1 dbrp create -t yourtokenALLACCESS --bucket-id yourbucketid --db speedtest-tracker --rp v1-rp --default -o yourorg\r\n\r\n5. Make User:\r\n\r\ninflux v1 auth create -t yourtokenALLACCESS --username speedtest --password speedtestpass --write-bucket yourbucketid -o yourorg\r\n\r\n\r\n6. Config Client of InfluxDBv1(Speedtest-tracker) by entered data : db username, db pass , etc ...\r\n\r\n7. Check in InfluxDBv2 in Data Explorer that data is exist in bucket\r\n\r\n8. Then you can select all data needed and switch to Script Editor copy the script (already done)\r\n\r\n9. Configure Grafana to use with data from InfluxDBv2 ( select datasource = InfluxDB , Query Language = Flux  ,Organization = yourorg , Bucket = speedtest , Token = yourtoken for bucket )\r\n\r\n10. import this script in Grafana Dashboard .\r\n\r\n11. Enjoy\r\n\r\n\r\nBased on https://grafana.com/grafana/dashboards/16339","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-06-11T13:05:23.000Z","updatedAt":"2022-08-28T18:55:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16428"},{"rel":"revisions","href":"/dashboards/16428/revisions"},{"rel":"revision","href":"/dashboards/16428/revisions/1"},{"rel":"download","href":"/dashboards/16428/revisions/1/download"},{"rel":"org","href":"/orgs/masterwishx"},{"rel":"images","href":"/dashboards/16428/images"},{"rel":"thumbnails","href":"/dashboards/16428/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17460,"status":1,"statusCode":"active","orgId":535454,"orgSlug":"alexdelprete","orgName":"alexdelprete","slug":"speedtest-tracker-v2","downloads":406,"revisionId":27512,"revision":2,"name":"Speedtest Tracker v2","description":"Dashboard for Speedtest Tracker v2","readme":"Dashboard for data published by Speedtest Tracker v2 by @alexjustesen: https://github.com/alexjustesen/speedtest-tracker\r\n\r\nSpeedtest Tracker can natively export data to InfluxDB v2. This dashboard pulls data from the bucket used by the application in order to present it graphically.\r\n\r\nThe only thing the user needs is creating a Data Source for InfluxDB, selecting Flux as Query Language, then configuring the URL of the influxdb2 server, the organization, the token and the default bucket. These configuration parameters are the same used in Speedtest Tracker to configure the integrated data export feature.\r\n\r\nOnce the data source is ready and tested, import this dashboard, and select the relevant data source just created.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-11-22T03:59:21.000Z","updatedAt":"2023-01-24T23:44:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17460"},{"rel":"revisions","href":"/dashboards/17460/revisions"},{"rel":"revision","href":"/dashboards/17460/revisions/2"},{"rel":"download","href":"/dashboards/17460/revisions/2/download"},{"rel":"org","href":"/orgs/alexdelprete"},{"rel":"images","href":"/dashboards/17460/images"},{"rel":"thumbnails","href":"/dashboards/17460/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17808,"status":1,"statusCode":"active","orgId":661981,"orgSlug":"masterwishx","orgName":"masterwishx","slug":"speedtest-tracker-v2-influxdbv2","downloads":840,"revisionId":35347,"revision":7,"name":"Speedtest Tracker v2 - InfluxDBv2","description":"A dashboard to display data exported by Speedtest Tracker","readme":"## Speedtest-Tracker-v2-InfluxDBv2\r\n\r\nA dashboard to display data exported by Speedtest Tracker v2 . Avalible Now at Grafana Dashboard 17808\r\n(https://grafana.com/grafana/dashboards/17808-speedtest-tracker-v2-influxdbv2/)\r\n\r\nThis dashboard shows data collected by Speedtest Tracker v2 https://github.com/alexjustesen/speedtest-tracker and exported in an InfluxDBv2 database in the bucket.\r\n\r\nDashboard based on my previous dashboard Speedtest Tracker - InfluxDBv2 with guide for OLD Speedtest Tracker app. https://grafana.com/grafana/dashboards/16428-speedtest-tracker/\r\n\r\nSame steps here as before for exporting data but without needs for influxDBv1. Check [Here](#steps)\r\n\r\n### Info\r\n![Screenshot 2024-08-14 202917](https://github.com/user-attachments/assets/aab1ed25-2e70-4486-b540-4da6306418b6)\r\n![Screenshot 2024-08-14 202935](https://github.com/user-attachments/assets/37685a7d-9d58-4987-a4dd-2ebeabaebc49)\r\n\r\n### Updates\r\n\r\n- **8.12.24**\r\n  - Fixed time in Latest result panel.\r\n\r\n- **7.12.24**\r\n  - Compatibility Update for Speedtest Tracker v0.25: some fields have been moved to tags + some fixes.\r\n\r\n- **14.8.24**\r\n  - More Panels added + some fixes.\r\n\r\n- **20.4.24**\r\n  - Panels fixed + Avg Speed fixed.\r\n\r\n- **6.4.24**\r\n  - Added Multi bucket support.\r\n\r\n### Multi buckets\r\n\r\n You can change bucket name and add multiple buckets by:\r\n\r\n - **Go to Dashboard Setting - Variables - Click on bucket - Custom options - Add new buckets**\r\n\r\n\r\n![Screenshot 2024-04-06 204806](https://github.com/masterwishx/Speedtest-Tracker-v2-InfluxDBv2/assets/28630321/808c1b36-71dc-4669-8014-6aac6ebfd85b)\r\n\r\n### Steps\r\n\r\n```\r\n1. Create bucket in InfluxDBv2: speedtest-tracker\r\n\r\n2.1 Create or use existing API token (ALL ACCESS) for Grafana and auth.\r\n\r\n2.2 Create API token (read/write) for this bucket to use with speedtest-tracker or use existing.\r\n\r\n3. Configure Speedtest Tracker application with relevant InfluxDBv2 configuration: URL, org, bucket, token, etc..., and 'Test connection'\r\n\r\n4. Check in InfluxDBv2 in Data Explorer that test data exists in bucket\r\n\r\n5. Configure Grafana to use with data from InfluxDBv2 ( Select Datasource = InfluxDB , Query Language = Flux , Organization = yourorg , Bucket = speedtest-tracker , Token = yourtoken for bucket )\r\n\r\n6. Import this dashboard to Grafana (Dashboard > New > Import) using link in README.md\r\n\r\n7. Return to Speedtest Tracker application and Export data to InfluxDB (Settings > Data Integration > Export current results)\r\n\r\n7. Enjoy\r\n```\r\n\r\n![image](https://github.com/user-attachments/assets/25aeb76a-5acf-4135-8073-a61f6bcb8cc3)\r\n![influxsetup](https://user-images.githubusercontent.com/28630321/187088939-492e8910-395b-4aef-b1f8-199ea98a2dc8.jpg)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-01-05T21:17:17.000Z","updatedAt":"2025-10-26T17:40:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17808"},{"rel":"revisions","href":"/dashboards/17808/revisions"},{"rel":"revision","href":"/dashboards/17808/revisions/7"},{"rel":"download","href":"/dashboards/17808/revisions/7/download"},{"rel":"org","href":"/orgs/masterwishx"},{"rel":"images","href":"/dashboards/17808/images"},{"rel":"thumbnails","href":"/dashboards/17808/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24446,"status":1,"statusCode":"active","orgId":1596861,"orgSlug":"kyguy","orgName":"kyguy","slug":"speedtest-tracker-v2-influxdbv2","downloads":43,"revisionId":39104,"revision":1,"name":"Speedtest Tracker v2 - InfluxDBv2","description":"A dashboard to display data exported by Speedtest Tracker","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-11-22T09:21:37.000Z","updatedAt":"2025-11-22T09:21:49.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24446"},{"rel":"revisions","href":"/dashboards/24446/revisions"},{"rel":"revision","href":"/dashboards/24446/revisions/1"},{"rel":"download","href":"/dashboards/24446/revisions/1/download"},{"rel":"org","href":"/orgs/kyguy"},{"rel":"images","href":"/dashboards/24446/images"},{"rel":"thumbnails","href":"/dashboards/24446/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13665,"status":1,"statusCode":"active","orgId":260497,"orgSlug":"geral","orgName":"geral","slug":"speedtest-exporter-dashboard","downloads":62269,"revisionId":24467,"revision":4,"name":"Speedtest-Exporter Dashboard","description":"Dashboard for Speedtest Exporter https://github.com/MiguelNdeCarvalho/speedtest-exporter","readme":"Dashboard for Speedtest Exporter https://github.com/MiguelNdeCarvalho/speedtest-exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-01T19:46:55.000Z","updatedAt":"2022-04-18T13:18:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13665"},{"rel":"revisions","href":"/dashboards/13665/revisions"},{"rel":"revision","href":"/dashboards/13665/revisions/4"},{"rel":"download","href":"/dashboards/13665/revisions/4/download"},{"rel":"org","href":"/orgs/geral"},{"rel":"images","href":"/dashboards/13665/images"},{"rel":"thumbnails","href":"/dashboards/13665/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22104,"status":1,"statusCode":"active","orgId":1249620,"orgSlug":"ahmedtremoo","orgName":"ahmedtremoo","slug":"spegel-monitoring-dashboard","downloads":1184,"revisionId":34692,"revision":1,"name":"Spegel Monitoring Dashboard","description":"A comprehensive Grafana dashboard for monitoring Spegel, focusing on Spegel-specific metrics such as mirror requests, resolve durations, advertised images, and HTTP metrics.","readme":"Spegel-focused Grafana dashboard","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-10-17T13:34:47.000Z","updatedAt":"2024-10-18T12:41:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22104"},{"rel":"revisions","href":"/dashboards/22104/revisions"},{"rel":"revision","href":"/dashboards/22104/revisions/1"},{"rel":"download","href":"/dashboards/22104/revisions/1/download"},{"rel":"org","href":"/orgs/ahmedtremoo"},{"rel":"images","href":"/dashboards/22104/images"},{"rel":"thumbnails","href":"/dashboards/22104/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18089,"status":1,"statusCode":"active","orgId":795085,"orgSlug":"francoisberube","orgName":"Leven-Lake","slug":"spegel-stateless-cluster-local-oci-registry-mirror","downloads":244930,"revisionId":27774,"revision":1,"name":"Spegel stateless cluster local OCI registry mirror","description":"Spegel is a pull only OCI registry which runs locally on every Node in the Kubernetes cluster. 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Others will be added\n* Uses Prometheus as DataSource\n* Uses the latest updated Spinnaker metrics\n* Works for environments that use AuroraDB/SQL for caching instead of Redis\n* Works for multiple read replica clusters for Clouddriver: clouddriver_caching, clouddriver_rw, clouddriver_ro, clouddriver_ro_deck\n* Still has some functions not working (in progress)","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-18T12:51:44.000Z","updatedAt":"2019-11-18T13:00:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":4.33,"links":[{"rel":"self","href":"/dashboards/11219"},{"rel":"revisions","href":"/dashboards/11219/revisions"},{"rel":"revision","href":"/dashboards/11219/revisions/1"},{"rel":"download","href":"/dashboards/11219/revisions/1/download"},{"rel":"org","href":"/orgs/dancb10"},{"rel":"images","href":"/dashboards/11219/images"},{"rel":"thumbnails","href":"/dashboards/11219/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14089,"status":1,"statusCode":"active","orgId":363625,"orgSlug":"cloudycelt","orgName":"cloudycelt","slug":"signalfx-sample-data","downloads":932,"revisionId":20666,"revision":1,"name":"Splunk Infrastructure Monitoring / SignalFX Sample Data","description":"A remake of the stock \"Sample Charts (Sample Data)\" dashboard on signalfx.com\r\n\r\nSignalFX is now known as Splunk Infrastructure Monitoring.","readme":"This dashboard utilizes the [Grafana Enterprise](https://grafana.com/products/enterprise/) plugin for Splunk Infrastructure Monitoring.\r\n\r\nYou can read more about the plugin [on the plugin page](https://grafana.com/grafana/plugins/grafana-splunk-monitoring-datasource/).\r\n\r\nThis is a Grafana port of the dashboard found in the Splunk Infrastructure Monitoring / SignalFX dashboard named \"Sample Data - Sample Charts\"\r\n\r\nIt should work with the sample data in every Splunk Infrastructure Monitoring / SignalFX account and helps to illustrate how one could recreate their existing dashboards in Grafana.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Splunk Infrastructure Monitoring","privacy":"public","createdAt":"2021-03-18T19:49:34.000Z","updatedAt":"2021-04-29T17:43:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14089"},{"rel":"revisions","href":"/dashboards/14089/revisions"},{"rel":"revision","href":"/dashboards/14089/revisions/1"},{"rel":"download","href":"/dashboards/14089/revisions/1/download"},{"rel":"org","href":"/orgs/cloudycelt"},{"rel":"images","href":"/dashboards/14089/images"},{"rel":"thumbnails","href":"/dashboards/14089/thumbnails"}],"datasourceSlugs":["grafana-splunk-monitoring-datasource"]},{"id":19414,"status":1,"statusCode":"active","orgId":118034,"orgSlug":"sudermanjr","orgName":"sudermanjr","slug":"spoolman","downloads":493,"revisionId":29765,"revision":1,"name":"Spoolman","description":"Summary dashboard for browsing filaments that exist in Spoolman when using Postgres","readme":"I wanted a dashboard to view my filaments and some summaries of them in [Spoolman](https://github.com/Donkie/Spoolman).\r\n\r\nI built this with the postgres database, but I believe most of these queries should work with other databases as well (no tested)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2023-08-25T20:46:11.000Z","updatedAt":"2023-08-25T21:02:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19414"},{"rel":"revisions","href":"/dashboards/19414/revisions"},{"rel":"revision","href":"/dashboards/19414/revisions/1"},{"rel":"download","href":"/dashboards/19414/revisions/1/download"},{"rel":"org","href":"/orgs/sudermanjr"},{"rel":"images","href":"/dashboards/19414/images"},{"rel":"thumbnails","href":"/dashboards/19414/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":11427,"status":1,"statusCode":"active","orgId":320803,"orgSlug":"creativearmenia","orgName":"creativearmenia","slug":"sport-feed-overview","downloads":3843,"revisionId":16061,"revision":2,"name":"Sport Feed Overview","description":"Sport feed data processing overview","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-12-17T07:34:36.000Z","updatedAt":"2019-12-18T15:02:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11427"},{"rel":"revisions","href":"/dashboards/11427/revisions"},{"rel":"revision","href":"/dashboards/11427/revisions/2"},{"rel":"download","href":"/dashboards/11427/revisions/2/download"},{"rel":"org","href":"/orgs/creativearmenia"},{"rel":"images","href":"/dashboards/11427/images"},{"rel":"thumbnails","href":"/dashboards/11427/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16475,"status":1,"statusCode":"active","orgId":666624,"orgSlug":"giladshahar1","orgName":"giladshahar1","slug":"spot-ocean","downloads":407,"revisionId":25134,"revision":3,"name":"Spot Ocean","description":"visualizing Ocean metrics, ready to be incorporated into your existing dashboard base","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-06-20T06:14:09.000Z","updatedAt":"2022-06-21T09:11:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16475"},{"rel":"revisions","href":"/dashboards/16475/revisions"},{"rel":"revision","href":"/dashboards/16475/revisions/3"},{"rel":"download","href":"/dashboards/16475/revisions/3/download"},{"rel":"org","href":"/orgs/giladshahar1"},{"rel":"images","href":"/dashboards/16475/images"},{"rel":"thumbnails","href":"/dashboards/16475/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21768,"status":1,"statusCode":"active","orgId":1130869,"orgSlug":"micgoldberg","orgName":"Spot Ocean","slug":"spot-ocean-scaling-and-cost-optimization-dashboard","downloads":306,"revisionId":35756,"revision":7,"name":"Spot Ocean Scaling and Cost Optimization Dashboard","description":"This dashboard provides real-time insights into the scaling, cost, usage, and right-sizing activities managed by Spot Ocean within your Kubernetes cluster. It showcases metrics related to node provisioning, optimization, cost efficiency, and recovery operations. The visualizations help you understand how Spot Ocean dynamically manages Kubernetes cluster resources to ensure optimal performance, cost savings, and high availability. Key actions such as scale-ups, scale-downs, node replacements, and manual interventions are highlighted to give a comprehensive view of your cluster's operational status and health.\r\n\r\nIt includes comprehensive data on compute, storage, and networking expenses, helping you monitor and optimize cloud spending. Visualizations highlight the cost distribution across different resource types and track usage patterns over time. This information empowers customers to make informed decisions about resource allocation, identify cost-saving opportunities, and ensure efficient utilization of cloud infrastructure. Additionally, the dashboard enables the evaluation of Ocean's right-sizing capability, demonstrating how efficient resource adjustments contribute to cost reduction while maintaining optimal cluster performance.","readme":"# Spot Ocean Scaling and Cost Optimization Dashboard\r\n\r\n## Introduction\r\n\r\nSpot Ocean (https://spot.io/product/ocean/) manages the scaling of the Kubernetes data plane, and the data generated in the process can be valuable for monitoring your containerized environment. Using well-defined Prometheus metrics for monitoring Ocean helps you understand cluster scaling and debug any issues that may arise. In addition, you can build alerts based on the metrics to address issues in real-time and track important trends on a dashboard of different Ocean metrics.\r\n\r\nOcean maintains an official set of metrics, natively scrapable by Prometheus. This set of metrics helps build a 360-degree view of Ocean's actions while providing application-driven infrastructure.\r\n\r\n## Variables\r\n\r\n- **Datasource**: Select the cluster datasource in a Grafana installation with multiple datasources available.\r\n- **Ocean Cluster ID**: Filter data only for the selected ID, suitable for datasources with data from several Ocean clusters.\r\n- **Aggregation Interval**: Used to set a relative time in panels with aggregated data. The relative time will be shown on the panel title.\r\n\r\n## Metrics\r\n\r\nBy monitoring the following key metrics, you can understand how Ocean scales.\r\n\r\n### Overview\r\n\r\n- Ocean controller status. Source: Ocean.\r\n- Kubernetes cluster Nodes. Source: Kubernetes API server.\r\n- Nodes managed by Ocean. Source: Ocean.\r\n- Cluster resources utilization. Source: Ocean.\r\n- Cluster cost during the selected aggregation interval. Source: Ocean.\r\n- Top 5 workloads with maximum cost during the selected aggregation interval. Source: Ocean.\r\n- Cluster cost's potential savings suggested by the right-sizing feature. Source: Ocean.\r\n\r\n### Scaling\r\n\r\n#### Overview\r\n\r\n- Cluster nodes' allocatable resources (CPU, memory, GPU). Source: Ocean.\r\n- Ocean cluster headroom allocatable resources (CPU, memory, GPU). Source: Ocean.\r\n- Ocean cluster resources limit (CPU, memory). Source: Ocean.\r\n- Ocean nodes breakdown by instance lifecycle and availability zone. Source: Ocean.\r\n- Cluster nodes' allocatable resources breakdown by instance lifecycle and availability zone. Source: Ocean.\r\n\r\n#### Nodes Managed by Ocean Metrics\r\n\r\n- Ocean nodes count over time. Source: Ocean.\r\n- Ocean nodes count by instance lifecycle and availability zone over time. Source: Ocean.\r\n- Cluster nodes' allocatable resources count by instance lifecycle and availability zone over time. Source: Ocean.\r\n\r\n#### Resources Utilization Metrics\r\n\r\n- Cluster resources (CPU, memory, GPU) utilization over time. Source: Ocean.\r\n\r\n#### Pods Metrics\r\n\r\n- Average time for Pod to become ready over time. Source: Kubernetes API server.\r\n- Pods in Running state. Source: Kubernetes API server.\r\n\r\n#### Scaling Activity Overview\r\n\r\n- Scaling up and down events summaries. Source: Ocean.\r\n- Nodes Added Over Time. Source: Ocean.\r\n- Nodes Removed Over Time. Source: Ocean.\r\n- Failed scaling up and down events summaries. Source: Ocean.\r\n- Failed Scales Up Overtime. Source: Ocean.\r\n\r\n#### Ocean Controllers Metrics\r\n\r\n- Ocean Kubernetes controller status over time. Source: Ocean.\r\n- Ocean Kubernetes controllers pods over time. Source: Kubernetes API server.\r\n- Ocean Kubernetes controllers memory consumption over time. Source: Kubernetes API server.\r\n- Ocean metrics controllers memory consumption over time. Source: Kubernetes API server.\r\n\r\n### Cost Metrics\r\n\r\n#### Current Status\r\n\r\n- Month-to-Date cluster cost. Source: Ocean.\r\n- Average daily cluster cost during the selected aggregation interval. Source: Ocean.\r\n- Cluster cost breakdown during the selected aggregation interval. Source: Ocean.\r\n- Cluster cost over time during the selected aggregation interval vs previous period. Source: Ocean.\r\n\r\n#### Compute and Storage Metrics\r\n\r\n- Average cost per CPU during the selected aggregation interval. Source: Ocean.\r\n- CPU by instance lifecycle breakdown during the selected aggregation interval. Source: Ocean.\r\n- Cluster storage cost during the selected aggregation interval. Source: Ocean.\r\n- Cluster storage cost breakdown during the selected aggregation interval. Source: Ocean.\r\n- Cluster compute cost over time. Source: Ocean.\r\n- Cluster storage cost over time. Source: Ocean.\r\n- Cluster CPU usage over time. Source: Ocean.\r\n- Cluster memory usage over time. Source: Ocean.\r\n\r\n#### Network Metrics\r\n\r\n- Cluster network cost during the selected aggregation interval. Source: Ocean.\r\n- Cluster network usage during the selected aggregation interval. Source: Ocean.\r\n- Cluster network cost breakdown during the selected aggregation interval. Source: Ocean.\r\n- Cluster Intra-AZ network usage over time. Source: Ocean.\r\n- Cluster Inter-AZ network cost over time. Source: Ocean.\r\n- Cluster Inter-AZ network usage over time. Source: Ocean.\r\n- Cluster Internet network cost over time. Source: Ocean.\r\n- Cluster Internet network usage over time. Source: Ocean.\r\n- Cluster Inter-Region network cost over time. Source: Ocean.\r\n- Cluster Inter-Region network usage over time. Source: Ocean.\r\n\r\n### Right-Sizing Metrics\r\n\r\n- VCPU Suggestions Overtime. Source: Ocean.\r\n- Memory Suggestions Overtime. Source: Ocean.\r\n- Top 5 Workloads with Potential Monthly Max. Savings. Source: Ocean.\r\n\r\nOcean metrics are relevant to Ocean Prometheus Exporter for EKS, AKS, and GKE.\r\n\r\nMore information at https://docs.spot.io/ocean/tools-and-integrations/prometheus/\r\n\r\n## Cluster Dependencies / Prerequisites\r\n\r\n- Ocean controller. More information at https://docs.spot.io/ocean/overview-kubernetes\r\n- Ocean network client. More information at https://docs.spot.io/ocean/tutorials/install-network-client-v2\r\n- Ocean metric exporter. More information at https://docs.spot.io/ocean/tools-and-integrations/prometheus/scrape\r\n- kube-state-metrics service.\r\n- Prometheus server.\r\n\r\n## Customer Feedback\r\n\r\nThe template is also available in the Spot Ocean public repository https://github.com/spotinst/spot-ocean-grafana-dashboards, where it's possible to submit feedback regarding any issues or propose new features to further enhance the dashboard's functionality. \r\n\r\n## Next Plans\r\n\r\n- Complete metrics set\r\n- Add alerts templates\r\n- Improve 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F","slug":"spring-boot-1-x","downloads":2064,"revisionId":10923,"revision":6,"name":"Spring Boot 1.x","description":"Dashboard for Spring Boot 1.x apps using Micrometer and Prometheus","readme":"Dashboard for Spring Boot 1.x applications, using Micrometer and Prometheus.\r\n\r\n## Features\r\n* Overall status\r\n* API stats\r\n* Tomcat \r\n* JVM\r\n\r\n## Variables \r\n\r\nOnly one variable is declared in Grafana:\r\n* `$job` : property \"job_name\" coming from prometheus.yml config file\r\n\r\n## Enable Actuator /prometheus endpoint\r\n\r\nHere are the dependencies to add in pom.xml:\r\n\r\n```\r\n<!-- Actuator (with security enabled) -->\r\n<dependency>\r\n\t<groupId>org.springframework.boot</groupId>\r\n\t<artifactId>spring-boot-starter-actuator</artifactId>\r\n</dependency>\r\n<dependency>\r\n\t<groupId>org.springframework.boot</groupId>\r\n\t<artifactId>spring-boot-starter-security</artifactId>\r\n</dependency>\r\n\r\n<!-- Monitoring endpoint - Micrometer + Prometheus -->\r\n<dependency>\r\n\t<groupId>io.micrometer</groupId>\r\n\t<artifactId>micrometer-spring-legacy</artifactId>\r\n\t<version>1.0.6</version>\r\n</dependency>\r\n<dependency>\r\n\t<groupId>io.micrometer</groupId>\r\n\t<artifactId>micrometer-registry-prometheus</artifactId>\r\n\t<version>1.0.6</version>\r\n</dependency>\r\n```\r\n\r\n## Add config in prometheus.yml\r\n\r\nSnippet for a https endpoint:\r\n```\r\n  - job_name: my-app-prod\r\n    scheme: https\r\n    basic_auth:\r\n      username: your_actuator_user\r\n      password: your_actuator_password\r\n    metrics_path: /MyApp/actuator/prometheus\r\n    static_configs:\r\n      - targets:\r\n          - \"your_hostname:your_port\"   \r\n```\r\n\r\nSnippet for a http endpoint:\r\n```\r\n  - job_name: my-app-prod\r\n    scheme: http\r\n    metrics_path: /MyApp/actuator/prometheus\r\n    static_configs:\r\n      - targets:\r\n          - \"your_hostname:your_port\"   \r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-08-30T18:08:40.000Z","updatedAt":"2018-09-20T16:22:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/7731"},{"rel":"revisions","href":"/dashboards/7731/revisions"},{"rel":"revision","href":"/dashboards/7731/revisions/6"},{"rel":"download","href":"/dashboards/7731/revisions/6/download"},{"rel":"org","href":"/orgs/vianney"},{"rel":"images","href":"/dashboards/7731/images"},{"rel":"thumbnails","href":"/dashboards/7731/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10280,"status":1,"statusCode":"active","orgId":255034,"orgSlug":"gadams00","orgName":"gadams00","slug":"microservices-spring-boot-2-1","downloads":33830,"revisionId":14384,"revision":1,"name":"Spring Boot 2.1 Statistics","description":"Dashboard for Spring Boot2.1 Statistics(based on Spring Boot2 Statistic by micrometer-prometheus).","readme":"### Exporter\nThis dashboard uses the following exporter metrics.\n\nhttp://micrometer.io/docs/registry/prometheus#_installing\n\n### Variables\nThis dashboard requires the following Variables.\n\n- $instance - Instance Name\n- $application - Spring Boot Application Name\n- $hikaricp - HikariCP Connection Pool Name\n\n`$application` should be marked with prometheus.yml label or with Spring bean(See below).\n\n```\n@Bean\nMeterRegistryCustomizer<MeterRegistry> metricsCommonTags() {\n  return registry -> registry.config().commonTags(\"application\", 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5s\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-02-25T23:43:34.000Z","updatedAt":"2019-02-26T02:31:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/9845"},{"rel":"revisions","href":"/dashboards/9845/revisions"},{"rel":"revision","href":"/dashboards/9845/revisions/1"},{"rel":"download","href":"/dashboards/9845/revisions/1/download"},{"rel":"org","href":"/orgs/christophe"},{"rel":"images","href":"/dashboards/9845/images"},{"rel":"thumbnails","href":"/dashboards/9845/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21303,"status":1,"statusCode":"active","orgId":1139841,"orgSlug":"egg528","orgName":"egg528","slug":"cache","downloads":12452,"revisionId":33161,"revision":1,"name":"Spring Boot Cache (3.x)","description":"This dashboard provides real-time monitoring of cache performance and status in a Spring Boot application. 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This helps in identifying inefficiencies or issues with the cache.\r\n- **Metrics**: `cache_gets_total{ result=\"miss\"}`\r\n\r\n\r\nThis dashboard is essential for maintaining the performance and efficiency of caches in microservices, allowing developers and operators to proactively identify and address 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[GitHub](https://github.com/alexengrig/grafana-dashboard-spring-boot-executors).\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-29T15:13:06.000Z","updatedAt":"2024-03-29T15:13:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20806"},{"rel":"revisions","href":"/dashboards/20806/revisions"},{"rel":"revision","href":"/dashboards/20806/revisions/1"},{"rel":"download","href":"/dashboards/20806/revisions/1/download"},{"rel":"org","href":"/orgs/alexengrig"},{"rel":"images","href":"/dashboards/20806/images"},{"rel":"thumbnails","href":"/dashboards/20806/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6083,"status":1,"statusCode":"active","orgId":92945,"orgSlug":"christophe","orgName":"christophe","slug":"spring-boot-hikaricp-jdbc","downloads":761043,"revisionId":14145,"revision":5,"name":"Spring Boot HikariCP / JDBC","description":"HikariCP & JDBC Dashboard (Micrometer.io)","readme":"Spring Boot HikariCP / JDBC dashboard will display the metrics from micrometer. You can setup the application name and the region in your Spring Boot app with the properties:\n\n    spring:\n      application:\n        name: my-service\n\n      datasource:\n        hikari:\n          pool-name: custom-pool-name     # optional\n\n    management:\n      endpoints:\n        web:\n          exposure:\n            include: [\"*\"]    # customize to your need\n      metrics:\n        tags:\n          application: ${spring.application.name}\n          region: my-region\n\n\nUpdated for Spring Boot 2.1.x","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-05-15T15:05:00.000Z","updatedAt":"2019-04-29T18:26:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":3.67,"links":[{"rel":"self","href":"/dashboards/6083"},{"rel":"revisions","href":"/dashboards/6083/revisions"},{"rel":"revision","href":"/dashboards/6083/revisions/5"},{"rel":"download","href":"/dashboards/6083/revisions/5/download"},{"rel":"org","href":"/orgs/christophe"},{"rel":"images","href":"/dashboards/6083/images"},{"rel":"thumbnails","href":"/dashboards/6083/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20820,"status":1,"statusCode":"active","orgId":1076107,"orgSlug":"alexengrig","orgName":"alexengrig","slug":"spring-boot-http","downloads":1031,"revisionId":32228,"revision":1,"name":"Spring Boot HTTP","description":"Spring Boot (Micrometer) with HTTP requests.","readme":"[Grafana Dashboard](https://grafana.com/docs/grafana/latest/dashboards)\r\nof\r\n[Spring Boot](https://spring.io/projects/spring-boot)\r\n(by\r\n[Micrometer](https://micrometer.io)\r\nmetrics from\r\n[Prometheus](https://prometheus.io))\r\nfor HTTP requests.\r\n\r\nSupported Spring Boot `3.x`.\r\n\r\nSee details in [GitHub](https://github.com/alexengrig/grafana-dashboard-spring-boot-http).\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-01T12:40:40.000Z","updatedAt":"2024-04-01T12:41:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20820"},{"rel":"revisions","href":"/dashboards/20820/revisions"},{"rel":"revision","href":"/dashboards/20820/revisions/1"},{"rel":"download","href":"/dashboards/20820/revisions/1/download"},{"rel":"org","href":"/orgs/alexengrig"},{"rel":"images","href":"/dashboards/20820/images"},{"rel":"thumbnails","href":"/dashboards/20820/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21308,"status":1,"statusCode":"active","orgId":1139841,"orgSlug":"egg528","orgName":"egg528","slug":"http","downloads":13231,"revisionId":33169,"revision":1,"name":"Spring Boot Http (3.x)","description":"This dashboard provides real-time monitoring of HTTP requests in a Spring Boot application. It uses Spring Boot Actuator to expose metrics, Prometheus for data collection, and Grafana for visualization.","readme":"### Introduction\r\nThis dashboard is designed to monitor the state and performance of HTTP requests in a Spring Boot application. It uses Spring Boot Actuator to expose metrics and Prometheus to collect and store these metrics. Grafana is then used to visualize the collected data, providing insights into the HTTP request behavior.\r\n\r\n### Panels Overview\r\n\r\n#### 2xx Response\r\n- **Description**: Displays the rate of successful HTTP responses (status code 2xx) over the last minute. This helps in understanding how often the application successfully handles requests.\r\n- **Metrics**: `rate(http_server_requests_seconds_count[1m])`\r\n\r\n#### 4xx Response\r\n- **Description**: Shows the rate of client error HTTP responses (status code 4xx) over the last minute. This helps in identifying how often the clients are sending bad requests.\r\n- **Metrics**: `rate(http_server_requests_seconds_count[1m])`\r\n\r\n#### 5xx Response\r\n- **Description**: Indicates the rate of server error HTTP responses (status code 5xx) over the last minute. This helps in identifying server-side issues that need to be addressed.\r\n- **Metrics**: `rate(http_server_requests_seconds_count[1m])`\r\n\r\n#### 2xx Response Time\r\n- **Description**: Shows the average response time of successful HTTP requests (status code 2xx) over the last minute. This helps in understanding the performance of successful requests.\r\n- **Metrics**: `irate(http_server_requests_seconds_sum[1m]) / irate(http_server_requests_seconds_count[1m])`\r\n\r\n#### 4xx Response Time\r\n- **Description**: Displays the average response time of client error HTTP requests (status code 4xx) over the last minute. This helps in identifying the response times for client errors.\r\n- **Metrics**: `irate(http_server_requests_seconds_sum[1m]) / irate(http_server_requests_seconds_count[1m])`\r\n\r\n#### 5xx Response Time\r\n- **Description**: Indicates the average response time of server error HTTP requests (status code 5xx) over the last minute. This helps in identifying the response times for server errors.\r\n- **Metrics**: `irate(http_server_requests_seconds_sum[1m]) / irate(http_server_requests_seconds_count[1m])`\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-13T07:35:44.000Z","updatedAt":"2024-06-13T07:46:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21308"},{"rel":"revisions","href":"/dashboards/21308/revisions"},{"rel":"revision","href":"/dashboards/21308/revisions/1"},{"rel":"download","href":"/dashboards/21308/revisions/1/download"},{"rel":"org","href":"/orgs/egg528"},{"rel":"images","href":"/dashboards/21308/images"},{"rel":"thumbnails","href":"/dashboards/21308/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20729,"status":1,"statusCode":"active","orgId":1076107,"orgSlug":"alexengrig","orgName":"alexengrig","slug":"spring-boot-jdbc-hikaricp","downloads":10623,"revisionId":32190,"revision":8,"name":"Spring Boot JDBC & HikariCP","description":"Spring Boot (Micrometer) with JDBC and HikariCP.","readme":"# Spring Boot JDBC & HikariCP\r\n\r\n[Grafana Dashboard](https://grafana.com/docs/grafana/latest/dashboards)\r\nof\r\n[Spring Boot](https://spring.io/projects/spring-boot)\r\n(by\r\n[Micrometer](https://micrometer.io)\r\nmetrics from\r\n[Prometheus](https://prometheus.io)) for\r\n[JDBC](https://en.wikipedia.org/wiki/Java_Database_Connectivity)\r\nand\r\n[HikariCP](https://github.com/brettwooldridge/HikariCP).\r\n\r\nSupported Spring Boot `3.x`.\r\n\r\nSee details in [GitHub](https://github.com/alexengrig/grafana-dashboard-spring-boot-jdbc-hikaricp).\r\n\r\n## Configure Spring Boot Application\r\n\r\n1. Add one of Spring Boot database modules, for example,\r\n   [Spring Data Jpa](https://spring.io/projects/spring-data-jpa)\r\n   or\r\n   [Spring Data JDBC](https://spring.io/projects/spring-data-jdbc).\r\n2. Add\r\n   [Spring Boot Actuator module](https://docs.spring.io/spring-boot/docs/current/reference/html/actuator.html)\r\n   with\r\n   [micrometer-registry-prometheus](https://docs.spring.io/spring-boot/docs/current/reference/html/actuator.html#actuator.endpoints).\r\n3. Add configuration, for example, `application.yml`:\r\n```yaml\r\nspring:\r\n  application:\r\n    name: myapp\r\n  datasource:\r\n    username: mydb_user\r\n    password: mydb_pass\r\n    url: jdbc:postgresql://localhost:5432/mydb\r\n    hikari:\r\n      minimum-idle: 2\r\n      maximum-pool-size: 8\r\nmanagement:\r\n  endpoints:\r\n    web:\r\n      exposure:\r\n        include:\r\n          - prometheus # Access by /actuator/prometheus\r\n  metrics:\r\n    tags:\r\n      namespace: local # Namespace of k8s\r\n      application: ${spring.application.name}\r\n```\r\n\r\n## Configure Prometheus Job\r\n\r\nAdd job with pulling metrics from `/actuator/prometheus`,\r\nfor example, on `localhost:8080`:\r\n\r\n```yaml\r\nscrape_configs:\r\n  - job_name: myapp-job\r\n    scrape_interval: 15s\r\n    metrics_path: /actuator/prometheus\r\n    static_configs:\r\n      - targets: [ localhost:8080 ]\r\n```\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-19T20:35:25.000Z","updatedAt":"2024-03-28T12:39:55.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20729"},{"rel":"revisions","href":"/dashboards/20729/revisions"},{"rel":"revision","href":"/dashboards/20729/revisions/8"},{"rel":"download","href":"/dashboards/20729/revisions/8/download"},{"rel":"org","href":"/orgs/alexengrig"},{"rel":"images","href":"/dashboards/20729/images"},{"rel":"thumbnails","href":"/dashboards/20729/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20784,"status":1,"statusCode":"active","orgId":1076107,"orgSlug":"alexengrig","orgName":"alexengrig","slug":"spring-boot-kafka-listeners","downloads":738,"revisionId":32174,"revision":2,"name":"Spring Boot Kafka Listeners","description":"Spring Boot (Micrometer) with Kafka Listeners.","readme":"[Grafana Dashboard](https://grafana.com/docs/grafana/latest/dashboards)\r\nof\r\n[Spring Boot](https://spring.io/projects/spring-boot)\r\n(by\r\n[Micrometer](https://micrometer.io)\r\nmetrics from\r\n[Prometheus](https://prometheus.io))\r\nfor `@KafkaListener` (by [Spring Kafka](https://spring.io/projects/spring-kafka)).\r\n\r\n[About metrics](https://docs.spring.io/spring-kafka/reference/kafka/micrometer.html#monitoring-listener-performance).\r\n\r\nSupported Spring Boot `3.x`.\r\n\r\nSee details in [GitHub](https://github.com/alexengrig/grafana-dashboard-spring-boot-kafka-listeners).\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-27T15:05:53.000Z","updatedAt":"2024-03-27T16:53:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20784"},{"rel":"revisions","href":"/dashboards/20784/revisions"},{"rel":"revision","href":"/dashboards/20784/revisions/2"},{"rel":"download","href":"/dashboards/20784/revisions/2/download"},{"rel":"org","href":"/orgs/alexengrig"},{"rel":"images","href":"/dashboards/20784/images"},{"rel":"thumbnails","href":"/dashboards/20784/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20786,"status":1,"statusCode":"active","orgId":1076107,"orgSlug":"alexengrig","orgName":"alexengrig","slug":"spring-boot-kafka-templates","downloads":887,"revisionId":32187,"revision":2,"name":"Spring Boot Kafka Templates","description":"Spring Boot (Micrometer) with Kafka Templates.","readme":"[Grafana Dashboard](https://grafana.com/docs/grafana/latest/dashboards)\r\nof\r\n[Spring Boot](https://spring.io/projects/spring-boot)\r\n(by\r\n[Micrometer](https://micrometer.io)\r\nmetrics from\r\n[Prometheus](https://prometheus.io))\r\nfor `KafkaTemplate` (by [Spring Kafka](https://spring.io/projects/spring-kafka)).\r\n\r\n[About metrics](https://docs.spring.io/spring-kafka/reference/kafka/micrometer.html#monitoring-kafkatemplate-performance).\r\n\r\nSupported Spring Boot `3.x`.\r\n\r\nSee details in [GitHub](https://github.com/alexengrig/grafana-dashboard-spring-boot-kafka-templates).\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-27T16:00:18.000Z","updatedAt":"2024-03-28T10:57:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20786"},{"rel":"revisions","href":"/dashboards/20786/revisions"},{"rel":"revision","href":"/dashboards/20786/revisions/2"},{"rel":"download","href":"/dashboards/20786/revisions/2/download"},{"rel":"org","href":"/orgs/alexengrig"},{"rel":"images","href":"/dashboards/20786/images"},{"rel":"thumbnails","href":"/dashboards/20786/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10231,"status":1,"statusCode":"active","orgId":252792,"orgSlug":"polarpoint","orgName":"Surj Bains","slug":"spring-boot-micrometer","downloads":3321,"revisionId":14301,"revision":1,"name":"Spring Boot Micrometer","description":"Spring Boot Micrometer","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-05-20T16:29:27.000Z","updatedAt":"2019-05-20T16:30:01.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10231"},{"rel":"revisions","href":"/dashboards/10231/revisions"},{"rel":"revision","href":"/dashboards/10231/revisions/1"},{"rel":"download","href":"/dashboards/10231/revisions/1/download"},{"rel":"org","href":"/orgs/polarpoint"},{"rel":"images","href":"/dashboards/10231/images"},{"rel":"thumbnails","href":"/dashboards/10231/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17175,"status":1,"statusCode":"active","orgId":632290,"orgSlug":"blueswen","orgName":"blueswen","slug":"spring-boot-observability","downloads":13120128,"revisionId":30492,"revision":2,"name":"Spring Boot Observability","description":"","readme":"Observe the Spring Boot application with three pillars of observability on Grafana:\r\n\r\n1. Traces with [Tempo](https://github.com/grafana/tempo) and [OpenTelemetry Instrumentation for Java](https://github.com/open-telemetry/opentelemetry-java-instrumentation)\r\n2. Metrics with [Prometheus](https://prometheus.io/), [Spring Boot Actuator](https://docs.spring.io/spring-boot/docs/current/actuator-api/htmlsingle/), and [Micrometer](https://micrometer.io/)\r\n3. Logs with [Loki](https://github.com/grafana/loki) and [Logback](https://logback.qos.ch/)\r\n\r\nCheck more details on the GitHub repository: [Spring Boot with Observability](https://github.com/blueswen/spring-boot-observability).\r\n\r\nThere is also a FastAPI version: [FastAPI with Observability](https://grafana.com/grafana/dashboards/16110-fastapi-observability/).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2022-10-13T18:03:35.000Z","updatedAt":"2023-10-24T14:50:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/17175"},{"rel":"revisions","href":"/dashboards/17175/revisions"},{"rel":"revision","href":"/dashboards/17175/revisions/2"},{"rel":"download","href":"/dashboards/17175/revisions/2/download"},{"rel":"org","href":"/orgs/blueswen"},{"rel":"images","href":"/dashboards/17175/images"},{"rel":"thumbnails","href":"/dashboards/17175/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":21307,"status":1,"statusCode":"active","orgId":1139841,"orgSlug":"egg528","orgName":"egg528","slug":"circuit-breaker","downloads":842,"revisionId":33168,"revision":1,"name":"Spring Boot Resilience4j Circuit Breaker (3.x)","description":"This dashboard provides real-time monitoring of the Resilience4j Circuit Breakers implemented in the Spring Boot application, using Spring Boot Actuator and Prometheus for data collection and visualization.","readme":"### Introduction\r\nThis dashboard is designed to monitor the health and performance of Resilience4j Circuit Breakers in a Spring Boot application. It uses Spring Boot Actuator to expose metrics and Prometheus to collect and store these metrics. Grafana is then used to visualize the collected data, providing insights into the behavior of the circuit breakers.\r\n\r\n### Panels Overview\r\n\r\n#### Is Open?\r\n- **Description**: Displays whether the circuit breaker is currently open (tripped) or closed (normal operation). This helps in identifying if the circuit breaker has tripped due to failures.\r\n- **Metrics**: `resilience4j_circuitbreaker_state`\r\n\r\n#### Max Latency\r\n- **Description**: Shows the maximum latency observed in the calls monitored by the circuit breaker. This helps in understanding the performance impact on the system.\r\n- **Metrics**: `resilience4j_circuitbreaker_calls_seconds_max`\r\n\r\n#### Failure Rate\r\n- **Description**: Indicates the failure rate of the calls in percentage. High failure rates might indicate issues with the downstream services or network.\r\n- **Metrics**: `resilience4j_circuitbreaker_failure_rate`\r\n\r\n#### Slow Calls Rate\r\n- **Description**: Displays the percentage of calls that are considered slow based on the configured threshold. Helps in identifying performance degradation.\r\n- **Metrics**: `resilience4j_circuitbreaker_slow_calls`\r\n\r\n#### Failed Count (1m)\r\n- **Description**: Counts the number of failed calls in the last minute. This can help in identifying recent spikes in failures.\r\n- **Metrics**: `resilience4j_circuitbreaker_failure_rate`\r\n\r\n#### Circuit Ignored Count (1m)\r\n- **Description**: Shows the count of ignored calls by the circuit breaker in the last minute. Ignored calls are those that were not considered by the circuit breaker due to its policy.\r\n- **Metrics**: `resilience4j_circuitbreaker_ignored_calls` \r\n\r\n   \r\nThis dashboard is essential for maintaining the resilience and performance of microservices, allowing developers and operators to identify and address issues proactively.\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-13T01:44:37.000Z","updatedAt":"2024-06-13T07:54:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21307"},{"rel":"revisions","href":"/dashboards/21307/revisions"},{"rel":"revision","href":"/dashboards/21307/revisions/1"},{"rel":"download","href":"/dashboards/21307/revisions/1/download"},{"rel":"org","href":"/orgs/egg528"},{"rel":"images","href":"/dashboards/21307/images"},{"rel":"thumbnails","href":"/dashboards/21307/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6756,"status":1,"statusCode":"active","orgId":159102,"orgSlug":"sinsengumi","orgName":"sinsengumi","slug":"spring-boot-statistics","downloads":42182,"revisionId":9219,"revision":2,"name":"Spring Boot Statistics","description":"Dashboard for Spring Boot2 Statistics(by micrometer-prometheus).","readme":"### Exporter\r\nThis dashboard uses the following exporter metrics.\r\n  - [http://micrometer.io/docs/registry/prometheus#_installing](http://micrometer.io/docs/registry/prometheus#_installing)\r\n\r\n### Variables\r\nThis dashboard requires the following Variables.\r\n- $instance - Instance Name\r\n- $application - Spring Boot Application Name\r\n- $hikaricp - HikariCP Connection Pool Name\r\n\r\n`$application` should be marked with prometheus.yml label or with Spring bean(See below).\r\n```java\r\n@Bean\r\nMeterRegistryCustomizer<MeterRegistry> metricsCommonTags() {\r\n  return registry -> registry.config().commonTags(\"application\", \"MYAPPNAME\");\r\n}\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-02T08:36:47.000Z","updatedAt":"2018-07-13T13:16:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":4,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/6756"},{"rel":"revisions","href":"/dashboards/6756/revisions"},{"rel":"revision","href":"/dashboards/6756/revisions/2"},{"rel":"download","href":"/dashboards/6756/revisions/2/download"},{"rel":"org","href":"/orgs/sinsengumi"},{"rel":"images","href":"/dashboards/6756/images"},{"rel":"thumbnails","href":"/dashboards/6756/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12464,"status":1,"statusCode":"active","orgId":346435,"orgSlug":"jeevanjoseph","orgName":"jeevanjoseph","slug":"spring-boot-statistics","downloads":17124,"revisionId":17875,"revision":2,"name":"Spring Boot Statistics","description":"Dashboard for Spring Boot2 Statistics(by micrometer-prometheus).\r\nThis is a fork of dashboard 6756, fixed for Spring Boot 2.3 and support for Jetty instead of Tomcat.","readme":"# Exporter\r\nThis dashboard is setup to work with metrics exposed by Spring Boot actuator using its prometheus endpoint. \r\nSee [documentation](https://docs.spring.io/spring-boot/docs/current/reference/html/production-ready-features.html#production-ready-metrics-export-prometheus) on how to enable the actuator endpoints.\r\n\r\nIf applications are deployed on kubernetes, and Prometheus and Grafana are running on Kubernetes itself, use the deployment annotations to configure Prometheus to scrape the pods. See [documentation](https://github.com/helm/charts/blob/master/stable/prometheus/README.md#scraping-pod-metrics-via-annotations) for instructions on using annotations to configure scraping. \r\n\r\n# Variables\r\nThis dashboard requires the following Variables.\r\n\r\n- $instance - Instance Name\r\n- $application - Spring Boot Application Name\r\n- $hikaricp - HikariCP Connection Pool Name\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-06-13T00:41:55.000Z","updatedAt":"2020-06-16T00:00:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/12464"},{"rel":"revisions","href":"/dashboards/12464/revisions"},{"rel":"revision","href":"/dashboards/12464/revisions/2"},{"rel":"download","href":"/dashboards/12464/revisions/2/download"},{"rel":"org","href":"/orgs/jeevanjoseph"},{"rel":"images","href":"/dashboards/12464/images"},{"rel":"thumbnails","href":"/dashboards/12464/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8813,"status":1,"statusCode":"active","orgId":208145,"orgSlug":"oscarsm91","orgName":"Oscar Salas Mestres","slug":"spring-boot-statistics","downloads":731,"revisionId":12107,"revision":1,"name":"Spring Boot Statistics","description":"Dashboard for Spring Boot2 Statistics(by micrometer-prometheus).","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-11-04T19:03:25.000Z","updatedAt":"2018-11-04T19:03:40.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/8813"},{"rel":"revisions","href":"/dashboards/8813/revisions"},{"rel":"revision","href":"/dashboards/8813/revisions/1"},{"rel":"download","href":"/dashboards/8813/revisions/1/download"},{"rel":"org","href":"/orgs/oscarsm91"},{"rel":"images","href":"/dashboards/8813/images"},{"rel":"thumbnails","href":"/dashboards/8813/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15425,"status":1,"statusCode":"active","orgId":528451,"orgSlug":"eduardeliseevm","orgName":"eduardeliseevm","slug":"spring-boot-statistics","downloads":731,"revisionId":23259,"revision":1,"name":"Spring Boot Statistics","description":"Dashboard for Spring Boot2 Statistics(by micrometer-prometheus).This is a fork of dashboard 6756, fixed for Spring Boot 2.3 and support for Jetty instead of Tomcat.","readme":"\nInherited from https://grafana.com/grafana/dashboards/12464 \n\nChange filters order. 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Instances","readme":"This dashboard contains these sections:\n- Database properties\n- Quick Stats\n- Database size\n- Performance counters\n- Memory break down\n- Database I/O\n- Database Latency\n- Availability Replica\n\nRequires latest Telegraf version (1.9.0)\nFor use with Telegraf \"sqlserver\" input, with \"query_version = 2\"\nhttps://github.com/influxdata/telegraf/tree/master/plugins/inputs/sqlserver\n\nCreated by Jonathan Rioux @ Staples Inc.","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"sql server","datasource":"InfluxDB","privacy":"public","createdAt":"2018-12-06T14:27:28.000Z","updatedAt":"2018-12-06T15:41:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":10,"reviewsAvgRating":4.1,"links":[{"rel":"self","href":"/dashboards/9386"},{"rel":"revisions","href":"/dashboards/9386/revisions"},{"rel":"revision","href":"/dashboards/9386/revisions/2"},{"rel":"download","href":"/dashboards/9386/revisions/2/download"},{"rel":"org","href":"/orgs/jorioux"},{"rel":"images","href":"/dashboards/9386/images"},{"rel":"thumbnails","href":"/dashboards/9386/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16070,"status":1,"statusCode":"active","orgId":627662,"orgSlug":"devgrafana01","orgName":"devgrafana01","slug":"sql-servers","downloads":428,"revisionId":24384,"revision":1,"name":"SQL Servers","description":"MSSQL Server performance metrics by Instances","readme":"","collectorType":"Telegraf","collectorConfig":"[agent]\r\n  ## Default data collection interval for all inputs, can be changed as per collection interval needs\r\n  interval = \"10s\"\r\n\r\n# Read metrics from Microsoft SQL Server\r\n[[inputs.sqlserver]]\r\n  ## Specify instances to monitor with a list of connection strings.\r\n  ## All connection parameters are optional.\r\n  ## By default, the host is localhost, listening on default port, TCP 1433.\r\n  ##   for Windows, the user is the currently running AD user (SSO).\r\n  ##   See https://github.com/denisenkom/go-mssqldb for detailed connection\r\n  ##   parameters, in particular, tls connections can be created like so:\r\n  ##   \"encrypt=true;certificate=<cert>;hostNameInCertificate=<SqlServer host fqdn>\"\r\n  servers = [\r\n    \"Server=20.230.179.45;Port=1433;User Id=SQLAdmin;Password=Viva0bamaViva0bama!;app name=telegraf;log=1;\",\r\n  ]\r\n\r\n  ## Authentication method\r\n  ## valid methods: \"connection_string\", \"AAD\"\r\n   auth_method = \"connection_string\"\r\n\r\n  ## \"database_type\" enables a specific set of queries depending on the database type. If specified, it replaces azuredb = true/false and query_version = 2\r\n  ## In the config file, the sql server plugin section should be repeated each with a set of servers for a specific database_type.\r\n  ## Possible values for database_type are - \"SQLServer\" or \"AzureSQLDB\" or \"AzureSQLManagedInstance\" or \"AzureSQLPool\"\r\n\r\n  database_type = \"SQLServer\"\r\n\r\n  ## A list of queries to include. If not specified, all the below listed queries are used.\r\n  include_query = []\r\n\r\n  ## A list of queries to explicitly ignore.\r\n  exclude_query = [\"SQLServerAvailabilityReplicaStates\", \"SQLServerDatabaseReplicaStates\"]\r\n\r\n  ## Queries enabled by default for database_type = \"SQLServer\" are - \r\n  ## SQLServerPerformanceCounters, SQLServerWaitStatsCategorized, SQLServerDatabaseIO, SQLServerProperties, SQLServerMemoryClerks, \r\n  ## SQLServerSchedulers, SQLServerRequests, SQLServerVolumeSpace, SQLServerCpu, SQLServerAvailabilityReplicaStates, SQLServerDatabaseReplicaStates\r\n\r\n  ## Queries enabled by default for database_type = \"AzureSQLDB\" are - \r\n  ## AzureSQLDBResourceStats, AzureSQLDBResourceGovernance, AzureSQLDBWaitStats, AzureSQLDBDatabaseIO, AzureSQLDBServerProperties, \r\n  ## AzureSQLDBOsWaitstats, AzureSQLDBMemoryClerks, AzureSQLDBPerformanceCounters, AzureSQLDBRequests, AzureSQLDBSchedulers\r\n\r\n  ## Queries enabled by default for database_type = \"AzureSQLManagedInstance\" are - \r\n  ## AzureSQLMIResourceStats, AzureSQLMIResourceGovernance, AzureSQLMIDatabaseIO, AzureSQLMIServerProperties, AzureSQLMIOsWaitstats, \r\n  ## AzureSQLMIMemoryClerks, AzureSQLMIPerformanceCounters, AzureSQLMIRequests, AzureSQLMISchedulers\r\n\r\n  ## Queries enabled by default for database_type = \"AzureSQLPool\" are - \r\n  ## AzureSQLPoolResourceStats, AzureSQLPoolResourceGovernance, AzureSQLPoolDatabaseIO, AzureSQLPoolWaitStats, \r\n  ## AzureSQLPoolMemoryClerks, AzureSQLPoolPerformanceCounters, AzureSQLPoolSchedulers\r\n\r\n  ## Following are old config settings\r\n  ## You may use them only if you are using the earlier flavor of queries, however it is recommended to use \r\n  ## the new mechanism of identifying the database_type there by use it's corresponding queries\r\n\r\n  ## Optional parameter, setting this to 2 will use a new version\r\n  ## of the collection queries that break compatibility with the original\r\n  ## dashboards.\r\n  ## Version 2 - is compatible from SQL Server 2012 and later versions and also for SQL Azure DB\r\n  # query_version = 2\r\n\r\n  ## If you are using AzureDB, setting this to true will gather resource utilization metrics\r\n  # azuredb = false\r\n\r\n  ## Toggling this to true will emit an additional metric called \"sqlserver_telegraf_health\". \r\n  ## This metric tracks the count of attempted queries and successful queries for each SQL instance specified in \"servers\". \r\n  ## The purpose of this metric is to assist with identifying and diagnosing any connectivity or query issues. \r\n  ## This setting/metric is optional and is disabled by default.\r\n  # health_metric = false\r\n\r\n  ## Possible queries accross different versions of the collectors\r\n  ## Queries enabled by default for specific Database Type\r\n  \r\n  ## database_type =  AzureSQLDB  by default collects the following queries\r\n  ## - 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[__address__]\r\n        target_label: __param_target\r\n      - source_labels: [__param_target]\r\n        target_label: instance\r\n      - target_label: __address__\r\n        replacement: ssl-exporter:9219  # SSL exporter instance\r\n```\r\n\r\nIf you have services which use not publicly verifiable certificates (i.e. internal or self-signed, services on custom port, etc)\r\nit is better to have another scrape job `ssl-insecure` connecting to different instance of ssl-exporter container,\r\nlaunched with config option 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[\"https:/YOURURL1:443/\", \"https://YOURURL2:443/\", \"YOURURL3:8443/\", \"tcp://YOURAPPLISTENINGTCP:8086/\"] insecure_skip_verify = true\n``` \n\nRestart the Telegraf services and 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monitoring\r\n\r\nused `telegraf`\r\n\r\n\r\n[[inputs.x509_cert]]\r\n  sources = [\"https://example.com:443\", \"https://example2.com:8200\",\r\n            \"https://test.example.com:443\" ]","collectorType":"Telegraf","collectorConfig":"```\r\n[agent]\r\n  interval = \"43200s\"\r\n  round_interval = true\r\n  metric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"43200s\"\r\n  flush_jitter = \"0s\"\r\n  precision = \"0s\"\r\n  hostname = \"write-hostname\"\r\n  omit_hostname = false\r\n\r\n[[inputs.x509_cert]]\r\n  sources = [\"https://example.com:443\", \"https://example2.com:8200\",\r\n            \"https://test.example.com:443\" ]\r\n\r\n[[outputs.influxdb_v2]]\r\n  urls = [\"url-your-influxdb2\"]\r\n  token = \"your-influxdb2-token\"\r\n  organization = \"your-org\"\r\n  bucket = \"your-bucket\"\r\n  user_agent = \"telegraf\"\r\n```","collectorPluginList":"influxdb, 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These links will load that interface in the Statseeker Interface Details dashboard and so *require* that the Statseeker Interface Details dashboard (https://grafana.com/dashboards/3454) also be installed in order to work.\n\n## Content\nDisplay of device information & metrics: \n* name\n* IP Address\n* System Location\n* System Contact details\n* Ping State\n* Time since last state change\n* Ping return trip times (graph and gauge)\n* CPU Load (graph and gauge)\n* Device Temperature (graph and gauge)\n* Memory Usage (graph and gauge)\n* Rx/Tx Utilization (graphs)\n\n## Templates\nThe dashboard includes templates allowing the user to select:\n* Device\n* Data formats\n* Device CPU/s\n* Device memory\n* Interface/s\n* Temperature sensor/s","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"statseeker-datasource","privacy":"public","createdAt":"2017-10-10T22:56:17.000Z","updatedAt":"2019-03-14T23:06:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3419"},{"rel":"revisions","href":"/dashboards/3419/revisions"},{"rel":"revision","href":"/dashboards/3419/revisions/4"},{"rel":"download","href":"/dashboards/3419/revisions/4/download"},{"rel":"org","href":"/orgs/statseeker"},{"rel":"images","href":"/dashboards/3419/images"},{"rel":"thumbnails","href":"/dashboards/3419/thumbnails"}],"datasourceSlugs":["statseeker-datasource"]},{"id":17564,"status":1,"statusCode":"active","orgId":83678,"orgSlug":"jkaram","orgName":"Joseph Karam","slug":"statseeker-device-viewer","downloads":267,"revisionId":26961,"revision":1,"name":"Statseeker Device Viewer ","description":"Statseeker Device Viewer ","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"statseeker-datasource","privacy":"public","createdAt":"2022-12-07T14:29:58.000Z","updatedAt":"2022-12-07T14:33:47.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17564"},{"rel":"revisions","href":"/dashboards/17564/revisions"},{"rel":"revision","href":"/dashboards/17564/revisions/1"},{"rel":"download","href":"/dashboards/17564/revisions/1/download"},{"rel":"org","href":"/orgs/jkaram"},{"rel":"images","href":"/dashboards/17564/images"},{"rel":"thumbnails","href":"/dashboards/17564/thumbnails"}],"datasourceSlugs":["statseeker-datasource"]},{"id":3454,"status":1,"statusCode":"active","orgId":67454,"orgSlug":"statseeker","orgName":"Statseeker","slug":"statseeker-interface-details","downloads":482,"revisionId":4771,"revision":2,"name":"Statseeker Interface Details","description":"","readme":"## Overview\r\nThis dashboard duplicates the Statseeker Interface Details report, as seen within the Statseeker product. 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OutMulticastPps \r\n* OutOctets \r\n* OutUcastPkts \r\n* OutUcastPps \r\n* RxBps \r\n* RxDiscardsPercent \r\n* RxErrorPercent \r\n* RxTxDiscardsPercent \r\n* RxTxErrorPercent \r\n* RxUtil \r\n* TxBps \r\n* TxDiscardsPercent \r\n* TxErrorPercent \r\n* TxUtil\r\n\r\n\r\n## Templates\r\nThe dashboard includes templates allowing the user to select:\r\n* Device\r\n* Interface\r\n* Device/Interface Metrics\r\n* Data 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For smaller more focused monitoring dashboard please see [Stellar Core Monitoring](https://grafana.com/grafana/dashboards/10603)\r\n\r\nPlease refer to the [official documentation](https://github.com/stellar/packages/blob/master/docs/monitoring.md) for details about stellar-core monitoring and suggested prometheus alerting rules.\r\n\r\nRevision 8 changes:\r\n* display healthy nodes in the \"Quorum Transitive Critical Peers Details\" panel\r\n* move away from using \"instant\" queries in some panels. 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","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-11-12T21:48:48.000Z","updatedAt":"2024-11-13T08:06:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22285"},{"rel":"revisions","href":"/dashboards/22285/revisions"},{"rel":"revision","href":"/dashboards/22285/revisions/1"},{"rel":"download","href":"/dashboards/22285/revisions/1/download"},{"rel":"org","href":"/orgs/stellar"},{"rel":"images","href":"/dashboards/22285/images"},{"rel":"thumbnails","href":"/dashboards/22285/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13793,"status":1,"statusCode":"active","orgId":256915,"orgSlug":"stellar","orgName":"stellar","slug":"stellar-horizon","downloads":338,"revisionId":22874,"revision":2,"name":"Stellar Horizon","description":"","readme":"Visualizes metrics exposed by the [stellar-horizon](https://developers.stellar.org/docs/run-api-server/)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-29T14:10:02.000Z","updatedAt":"2021-11-16T11:01:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13793"},{"rel":"revisions","href":"/dashboards/13793/revisions"},{"rel":"revision","href":"/dashboards/13793/revisions/2"},{"rel":"download","href":"/dashboards/13793/revisions/2/download"},{"rel":"org","href":"/orgs/stellar"},{"rel":"images","href":"/dashboards/13793/images"},{"rel":"thumbnails","href":"/dashboards/13793/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19229,"status":1,"statusCode":"active","orgId":256915,"orgSlug":"stellar","orgName":"stellar","slug":"soroban-rpc","downloads":292,"revisionId":33821,"revision":3,"name":"Stellar RPC","description":"Stellar RPC provides information that the network currently has in its view. 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","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-02-25T15:06:33.000Z","updatedAt":"2020-02-27T12:34:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/11801"},{"rel":"revisions","href":"/dashboards/11801/revisions"},{"rel":"revision","href":"/dashboards/11801/revisions/1"},{"rel":"download","href":"/dashboards/11801/revisions/1/download"},{"rel":"org","href":"/orgs/louwrentius"},{"rel":"images","href":"/dashboards/11801/images"},{"rel":"thumbnails","href":"/dashboards/11801/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15932,"status":1,"statusCode":"active","orgId":616570,"orgSlug":"skyadmin","orgName":"skyadmin","slug":"storage-i-o-statistics","downloads":4007,"revisionId":24155,"revision":2,"name":"Storage I/O Statistics","description":"This dashboards shows IOPS, I/O Latency, Average Request size and throughput. 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Benefit from\r\napplication-centric container storage that moves with your application.\r\n\r\nThe following dashboard has been built to serve as an extensible example\r\nfor monitoring a StorageOS cluster. The dashboard has two different\r\nrows, Node metrics for an overview of cluster wide metrics broken down by node\r\nand Namespace metrics for volume specific metrics that can be broken down by\r\nnamespace.\r\n\r\nThe node metrics can display metrics for nodes of choice by setting the Node\r\nvariable. The Namespace metrics can be broken down by namespace and thereafter\r\nby volumes in the namespace by setting the Namespace and Volume Name variables.\r\n\r\n## Metric Explanation\r\n\r\n### Node Metrics\r\n| Node Metrics                            | Description                                                                     |\r\n| :----------                             | :------------                                                                   |\r\n| StorageOS Process Uptime                | The uptime of the StorageOS control plane process on each node                         |\r\n| Volumes Per Node                        | The number of master and replica volumes on each node                           |\r\n| Total Read/Write rate (IOPS)            | The average number of read and write operations per node over a 2 minute period |\r\n| Total Read/Write Bandwidth              | The average bandwidth of volumes per node over a 2 minute period                |\r\n| StorageOS CPU and Resident Memory Usage | The average CPU and Resident Memory usage of StorageOS processes per node       |\r\n\r\n### Namespace Metrics\r\n| Namespace Metrics                    | Description                                                                        |\r\n| :----------------                    | :-----------                                                                       |\r\n| Frontend Volume IOPS                 | The average IOPS over 2 minutes for a volume from the applications perspective.    |\r\n| Frontend Volume Read/Write Bandwidth | The average bandwidth of a volume over 2 minutes from the application perspective. |","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-04-08T13:39:37.000Z","updatedAt":"2019-04-24T14:32:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10012"},{"rel":"revisions","href":"/dashboards/10012/revisions"},{"rel":"revision","href":"/dashboards/10012/revisions/3"},{"rel":"download","href":"/dashboards/10012/revisions/3/download"},{"rel":"org","href":"/orgs/alexveststorageos"},{"rel":"images","href":"/dashboards/10012/images"},{"rel":"thumbnails","href":"/dashboards/10012/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10093,"status":1,"statusCode":"active","orgId":244922,"orgSlug":"alexveststorageos","orgName":"alexveststorageos","slug":"storageos-example-v1-2-0","downloads":366,"revisionId":14161,"revision":2,"name":"StorageOS Example v1.2.0+","description":"StorageOS example dashboard with metric names updated for StorageOS v1.2.0+ compatibility. ","readme":"# StorageOS Dashboard\r\n\r\n# Compatible with 1.2.0 - Some metric names have changed since 1.1.5\r\n\r\nStorageOS is cloud native, persistent storage for containers. Benefit from\r\napplication-centric container storage that moves with your application.\r\n\r\nThe following dashboard has been built to serve as an extensible example\r\nfor monitoring a StorageOS cluster. The dashboard has two different\r\nrows, Node metrics for an overview of cluster wide metrics broken down by node\r\nand Namespace metrics for volume specific metrics that can be broken down by\r\nnamespace.\r\n\r\nThe node metrics can display metrics for nodes of choice by setting the Node\r\nvariable. The Namespace metrics can be broken down by namespace and thereafter\r\nby volumes in the namespace by setting the Namespace and Volume Name variables.\r\n\r\n## Metric Explanation\r\n\r\n### Node Metrics\r\n| Node Metrics                            | Description                                                                     |\r\n| :----------                             | :------------                                                                   |\r\n| StorageOS Process Uptime                | The uptime of the StorageOS control plane process on each node                         |\r\n| Volumes Per Node                        | The number of master and replica volumes on each node                           |\r\n| Total Read/Write rate (IOPS)            | The average number of read and write operations per node over a 2 minute period |\r\n| Total Read/Write Bandwidth              | The average bandwidth of volumes per node over a 2 minute period                |\r\n| StorageOS CPU and Resident Memory Usage | The average CPU and Resident Memory usage of StorageOS processes per node       |\r\n\r\n### Namespace Metrics\r\n| Namespace Metrics                    | Description                                                                        |\r\n| :----------------                    | :-----------                                                                       |\r\n| Frontend Volume IOPS                 | The average IOPS over 2 minutes for a volume from the applications perspective.    |\r\n| Frontend Volume Read/Write Bandwidth | The average bandwidth of a volume over 2 minutes from the application perspective. |","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-04-24T14:28:35.000Z","updatedAt":"2019-05-01T17:04:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10093"},{"rel":"revisions","href":"/dashboards/10093/revisions"},{"rel":"revision","href":"/dashboards/10093/revisions/2"},{"rel":"download","href":"/dashboards/10093/revisions/2/download"},{"rel":"org","href":"/orgs/alexveststorageos"},{"rel":"images","href":"/dashboards/10093/images"},{"rel":"thumbnails","href":"/dashboards/10093/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10121,"status":1,"statusCode":"active","orgId":249188,"orgSlug":"jgillard","orgName":"jgillard","slug":"storj-sno","downloads":583,"revisionId":14166,"revision":4,"name":"Storj SNO","description":"Storj Storage Node Operator v2 & v3 dashboard.","readme":"# Storj SNO dashboard\r\n\r\nDashboard for Storage Node Operators, for both v2 and v3 nodes.\r\n\r\n## Charts\r\nFor v3 SNO:\r\n- `Docker network traffic`: network traffic reported by Docker. Includes local traffic, does not reflect (yet) outbound paid traffic.\r\n- `Storage size`: size of the data folder\r\n- `STORJ val.`: the current value of your STORJ tokens (EUR or USD)\r\n- `STORJ tok.`: your STORJ tokens balance, from Etherscan's API.\r\n- `Alerts`: Grafana alerts statuses.\r\n- `Images CPU`: CPU allocation usage by images reported by Docker. Usually a fraction of your physical CPU, depends on your Docker configuration.\r\n- `Load AVG`: Physical CPU load moving average.\r\n- `STORJ Price`: price of STORJ tokens, from cryptocompare.com's API\r\n\r\nFor v2 Storj farmers:\r\n- `Reputation`: your node reputation (max 5000) from Storj's API\r\n- `Response time`: your node response time from Storj's API\r\n","collectorType":"Telegraf","collectorConfig":"We need two script to provide data to Telegraf.\r\n\r\n### Storage folder size\r\nCreate and `chmod +x /scripts/folder_size.sh` with:\r\n```bash\r\n#!/bin/bash\r\n\r\necho \"[\"\r\ndu -ks \"$@\" | awk '{if (NR!=1) {printf \",\\n\"};printf \"  { \\\"directory_size_kilobytes\\\": \"$1\", \\\"path\\\": \\\"\"$2\"\\\" }\";}'\r\necho\r\necho \"]\"\r\n```\r\nThe output should give something like:\r\n```bash\r\njgi@K3:~/docker_apps/telegraf/scripts$ ./folder_size.sh /home/jgi/docker_apps/storj/storage/\r\n[\r\n  { \"directory_size_kilobytes\": 36803708, \"path\": \"/home/jgi/docker_apps/storj/storage/\" }\r\n]\r\n```\r\n\r\n### Your STORJ tokens balance\r\nCreate an account at etherscan.io, generate an API key and replace <your_payout_address> and <your_etherscan_apikey>.\r\n\r\nCreate and `chmod +x /scripts/storj_tokens.sh` with:\r\n```bash\r\n#! /bin/bash\r\nSAT=$(curl -s 'https://api.etherscan.io/api?module=account&action=tokenbalance&contractaddress=0xb64ef51c888972c908cfacf59b47c1afbc0ab8ac&address=<your_payout_address>&tag=latest&apikey=<your_etherscan_apikey>' | grep -Po '\"result\":.*?[^\\\\]\"' | awk -F':' '{print $2}' | sed -e 's/^\"//' -e 's/\"$//')\r\necho $SAT\r\n```\r\nOk, I know there's a lot of dark magic in this, just to get your token balance without quotes. Ping me if you have something else working in pure bash (run by Telegraf).\r\n\r\nThe output should give something like:\r\n```bash\r\njgi@K3:~/docker_apps/telegraf/scripts$ ./storj_tokens.sh\r\n8455429240\r\n```\r\n\r\n### Telegraf.conf\r\n\r\nIn telegraf.conf, have at least those:\r\n```bash\r\n[[inputs.docker]]\r\n   endpoint = \"unix:///var/run/docker.sock\"\r\n   perdevice = true\r\n   total = false\r\n```\r\n\r\n```bash\r\n [[inputs.exec]]\r\n   commands = [\r\n# ### Replace here the folder_size.sh script location, and the location of the storj data folder\r\n     \"/scripts/folder_size.sh /home/jgi/docker_apps/storj/storage\"\r\n   ]\r\n   timeout = \"5s\"\r\n   interval = \"5m\"\r\n   name_suffix = \"_myexeccollector\"\r\n   data_format = \"json\"\r\n   tag_keys = [ \"path\" ]\r\n\r\n [[inputs.exec]]\r\n   commands = [ \"/scripts/storj_tokens.sh\" ]\r\n   timeout = \"5s\"\r\n   interval = \"24h\"\r\n   name_suffix = \"_storj_token\"\r\n   data_format = \"value\"\r\n   data_type = \"integer\"\r\n\r\n [[inputs.exec]]\r\n   commands = [\r\n# ### Replace here your V2 node ID\r\n     \"curl 'https://api.storj.io/contacts/f5782db1fc5d8c55c758d1dd95e6bb8d08dd6fb9'\"   ]\r\n   timeout = \"5s\"\r\n   interval = \"15m\"\r\n   name_suffix = \"_storj_api_v2\"\r\n   data_format = \"json\"\r\n   tag_keys = [ \"nodeID\" ]\r\n\r\n [[inputs.exec]]\r\n   commands = [\r\n     \"curl 'https://min-api.cryptocompare.com/data/price?fsym=STORJ&tsyms=STORJ,USD,EUR'\"   ]\r\n   timeout = \"5s\"\r\n   interval = \"1h\"\r\n   name_suffix = \"_storj_token_price\"\r\n   data_format = \"json\"\r\n```\r\n\r\nAfter that you should see Telegraf storing those three new measurements:\r\n- `exec_myexeccollector`\r\n- `exec_storj_api_v2`\r\n- `exec_storj_token_price`\r\n\r\nFeel free to rename them here AND in Grafana's dasboard.\r\n\r\nDiscussion for this dashboard can be followed here: https://github.com/storj/storj/issues/1789","collectorPluginList":"docker, exec","datasource":null,"privacy":"public","createdAt":"2019-04-30T15:06:13.000Z","updatedAt":"2019-05-02T11:51:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10121"},{"rel":"revisions","href":"/dashboards/10121/revisions"},{"rel":"revision","href":"/dashboards/10121/revisions/4"},{"rel":"download","href":"/dashboards/10121/revisions/4/download"},{"rel":"org","href":"/orgs/jgillard"},{"rel":"images","href":"/dashboards/10121/images"},{"rel":"thumbnails","href":"/dashboards/10121/thumbnails"}]},{"id":18759,"status":1,"statusCode":"active","orgId":858333,"orgSlug":"smeggeruk","orgName":"smeggeruk","slug":"storj-sno","downloads":273,"revisionId":28779,"revision":1,"name":"Storj SNO","description":"Storj Storage Node Operator v2 & v3 dashboard.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-05-16T17:08:10.000Z","updatedAt":"2023-05-16T17:08:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18759"},{"rel":"revisions","href":"/dashboards/18759/revisions"},{"rel":"revision","href":"/dashboards/18759/revisions/1"},{"rel":"download","href":"/dashboards/18759/revisions/1/download"},{"rel":"org","href":"/orgs/smeggeruk"},{"rel":"images","href":"/dashboards/18759/images"},{"rel":"thumbnails","href":"/dashboards/18759/thumbnails"}]},{"id":20551,"status":1,"statusCode":"active","orgId":711332,"orgSlug":"elek","orgName":"elek","slug":"storj-storagenodes","downloads":376,"revisionId":31754,"revision":1,"name":"Storj Storagenodes","description":"Dashboad to monitor multiple (2-20) Storj Storagenodes\r\n\r\nIt doesn't require any Storj-exporter, just pure debug endpoint.","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-02-23T16:00:10.000Z","updatedAt":"2024-02-23T16:06:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20551"},{"rel":"revisions","href":"/dashboards/20551/revisions"},{"rel":"revision","href":"/dashboards/20551/revisions/1"},{"rel":"download","href":"/dashboards/20551/revisions/1/download"},{"rel":"org","href":"/orgs/elek"},{"rel":"images","href":"/dashboards/20551/images"},{"rel":"thumbnails","href":"/dashboards/20551/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10554,"status":1,"statusCode":"active","orgId":165749,"orgSlug":"turbomypc","orgName":"turbomypc","slug":"storj-v3-health","downloads":984,"revisionId":14836,"revision":2,"name":"Storj V3 Health","description":"Keeping a close eye on all valuable metrics to be a successful SNO","readme":"Latest Instructions and versions on https://github.com/gsxryan/storj_telegraf_mon","collectorType":"Telegraf","collectorConfig":"Using configuration from https://github.com/gsxryan/storj_telegraf_mon","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-07-17T23:52:44.000Z","updatedAt":"2019-07-27T04:57:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10554"},{"rel":"revisions","href":"/dashboards/10554/revisions"},{"rel":"revision","href":"/dashboards/10554/revisions/2"},{"rel":"download","href":"/dashboards/10554/revisions/2/download"},{"rel":"org","href":"/orgs/turbomypc"},{"rel":"images","href":"/dashboards/10554/images"},{"rel":"thumbnails","href":"/dashboards/10554/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10575,"status":1,"statusCode":"active","orgId":266213,"orgSlug":"graphtek84","orgName":"graphtek84","slug":"storj-v3-health","downloads":302,"revisionId":14777,"revision":1,"name":"StorJ V3 Health","description":"Storj","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-07-20T16:42:34.000Z","updatedAt":"2019-07-20T16:46:04.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10575"},{"rel":"revisions","href":"/dashboards/10575/revisions"},{"rel":"revision","href":"/dashboards/10575/revisions/1"},{"rel":"download","href":"/dashboards/10575/revisions/1/download"},{"rel":"org","href":"/orgs/graphtek84"},{"rel":"images","href":"/dashboards/10575/images"},{"rel":"thumbnails","href":"/dashboards/10575/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20677,"status":1,"statusCode":"active","orgId":325026,"orgSlug":"chris21788","orgName":"TheChrisTech","slug":"storj-exporter","downloads":418,"revisionId":32132,"revision":2,"name":"Storj-Exporter","description":"By: TheChrisTech","readme":"# Storj Exporter Dashboard\r\nThis is a dashboard for Storj-Exporter, a tool to collect data based on your Storj Node. It's used to visualize Storj-Exporter metrics for one or multiple Storj storage nodes. \r\n\r\n## Support\r\nThis dashboard is published on Github. Please post any issues or additional Storj-Exporter dashboards there.\r\n\r\n### Github Links\r\n- [Storj-Exporter](https://github.com/TheChrisTech/Storj-Exporter)\r\n- [Storj-Exporter-dashboard](https://github.com/TheChrisTech/Storj-Exporter-dashboard)\r\n\r\n[![\"Buy Me A Coffee\"](https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png)](https://www.buymeacoffee.com/thechristech)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-03-13T19:13:39.000Z","updatedAt":"2024-03-25T18:26:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20677"},{"rel":"revisions","href":"/dashboards/20677/revisions"},{"rel":"revision","href":"/dashboards/20677/revisions/2"},{"rel":"download","href":"/dashboards/20677/revisions/2/download"},{"rel":"org","href":"/orgs/chris21788"},{"rel":"images","href":"/dashboards/20677/images"},{"rel":"thumbnails","href":"/dashboards/20677/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13810,"status":1,"statusCode":"active","orgId":416728,"orgSlug":"anclrii","orgName":"anclrii","slug":"storj-exporter-boom-table","downloads":2075,"revisionId":25185,"revision":3,"name":"Storj-Exporter-Boom-Table","description":"","readme":"# Storj Exporter dashboard\nStorj-exporter Grafana dashboard to visualise [Storj-Exporter](https://github.com/anclrii/Storj-Exporter) metrics for multiple [Storj](https://storj.io/) storage nodes. See my [quick-start guide](https://github.com/anclrii/Storj-Exporter-dashboard/tree/master/quick_start) to set up the whole stack using docker-compose.\n\n## Support\nThis dashboard is [published on Github](https://github.com/anclrii/Storj-Exporter-dashboard). Feel free to raise issues if you find them and also raise a PR if you'd like to contribute. Find more details in the [README](https://github.com/anclrii/Storj-Exporter-dashboard/blob/master/README.md)\n\nIf you wish to support my work, please find my eth wallet address below:\n\n`0x187C8C43890fe4C91aFabbC62128D383A90548Dd`","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-30T17:46:26.000Z","updatedAt":"2022-06-24T14:39:23.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13810"},{"rel":"revisions","href":"/dashboards/13810/revisions"},{"rel":"revision","href":"/dashboards/13810/revisions/3"},{"rel":"download","href":"/dashboards/13810/revisions/3/download"},{"rel":"org","href":"/orgs/anclrii"},{"rel":"images","href":"/dashboards/13810/images"},{"rel":"thumbnails","href":"/dashboards/13810/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13896,"status":1,"statusCode":"active","orgId":465792,"orgSlug":"storjdashboard","orgName":"Storj-Dashboard","slug":"storj-exporter-boom-table-combined","downloads":1250,"revisionId":20402,"revision":3,"name":"Storj-Exporter-Boom-Table-combined","description":"","readme":"# Storj Exporter dashboard combined\r\n\r\nDashboard to visualise Storj-Exporter and Storj-Log-Exporter metrics for multiple Storj storage nodes. See the post on the storj forum for more information on how to set up the exporters/monitoring for multiple nodes:\r\n[how-to-monitor-all-nodes-in-your-lan-using-prometheus-grafana](https://forum.storj.io/t/how-to-monitor-all-nodes-in-your-lan-using-prometheus-grafana-linux-using-docker/10998)\r\n\r\nAlso this guide to set up the Log-Exporter:\r\n[log-exporter-for-prometheus-with-grafana-dashboard](https://forum.storj.io/t/log-exporter-for-prometheus-with-grafana-dashboard/11250)\r\n\r\n## Support\r\n\r\nThe log-exporter is published on Github. Feel free to raise issues if you find them and also raise a PR if you'd like to contribute. Find more details in the README: [https://github.com/kevinkk525/storj-log-exporter](https://github.com/kevinkk525/storj-log-exporter)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-02-17T09:05:03.000Z","updatedAt":"2021-02-19T20:02:47.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13896"},{"rel":"revisions","href":"/dashboards/13896/revisions"},{"rel":"revision","href":"/dashboards/13896/revisions/3"},{"rel":"download","href":"/dashboards/13896/revisions/3/download"},{"rel":"org","href":"/orgs/storjdashboard"},{"rel":"images","href":"/dashboards/13896/images"},{"rel":"thumbnails","href":"/dashboards/13896/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2363,"status":1,"statusCode":"active","orgId":64592,"orgSlug":"digitalpebble","orgName":"digitalpebble","slug":"stormcrawler-metrics","downloads":731,"revisionId":16737,"revision":8,"name":"StormCrawler Metrics","description":"Metrics for StormCrawler using Elasticsearch as a backend","readme":"This dashboard is a good starting point for monitoring a crawl with [StormCrawler](http://stormcrawler.net/). It requires an Elasticsearch index populated with metrics provided by [Apache Storm](http://storm.apache.org/). See [Elasticsearch module](https://github.com/DigitalPebble/storm-crawler/tree/master/external/elasticsearch) for instructions on how to set it up.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2017-06-01T09:46:22.000Z","updatedAt":"2020-02-27T15:23:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2363"},{"rel":"revisions","href":"/dashboards/2363/revisions"},{"rel":"revision","href":"/dashboards/2363/revisions/8"},{"rel":"download","href":"/dashboards/2363/revisions/8/download"},{"rel":"org","href":"/orgs/digitalpebble"},{"rel":"images","href":"/dashboards/2363/images"},{"rel":"thumbnails","href":"/dashboards/2363/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":22059,"status":1,"statusCode":"active","orgId":771766,"orgSlug":"cumulopro","orgName":"cumulopro","slug":"story-dashboard-by-cumulo-v3","downloads":467,"revisionId":39385,"revision":2,"name":"Story Dashboard by Cumulo v3","description":"This dashboard provides an operational overview of the health, performance, and consensus behavior of a Story Aeneid node.\n\nIt is designed for node operators and validators to monitor synchronization status, block production cadence, consensus efficiency, validator participation, transaction activity, and system resource usage in real time.\n\nThe dashboard places a strong focus on consensus health (round durations, block intervals, voting power participation, missed blocks), allowing early detection of network issues, degraded validator performance, or abnormal consensus behavior. In addition, it exposes key runtime and system metrics to help identify performance bottlenecks, resource pressure, and memory or garbage collection inefficiencies at the node level.\n\nTogether, these metrics provide actionable insights to maintain a stable, performant, and well-behaved Story node in both normal operation and incident scenarios.\n\nFor detailed metric definitions and PromQL references, see:\nStory Node Metrics Documentation  \nhttps://github.com/Cumulo-pro/Story_protocol/blob/main/monitoring/story_aeneid_metrics.md","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, Prometheus","privacy":"public","createdAt":"2024-10-10T10:02:30.000Z","updatedAt":"2025-12-21T16:17:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22059"},{"rel":"revisions","href":"/dashboards/22059/revisions"},{"rel":"revision","href":"/dashboards/22059/revisions/2"},{"rel":"download","href":"/dashboards/22059/revisions/2/download"},{"rel":"org","href":"/orgs/cumulopro"},{"rel":"images","href":"/dashboards/22059/images"},{"rel":"thumbnails","href":"/dashboards/22059/thumbnails"}],"datasourceSlugs":["__expr__","prometheus"]},{"id":22119,"status":1,"statusCode":"active","orgId":668739,"orgSlug":"alexhuk3","orgName":"alexhuk3","slug":"story-dashboard-by-let-s-node","downloads":279,"revisionId":34709,"revision":1,"name":"Story Dashboard by Lets Node & UTSA","description":"The Story Dashboard by Let's Node & UTSA dashboard uses the prometheus data source to create a Grafana dashboard with the barchart, bargauge, gauge, heatmap, stat and timeseries panels","readme":"To set it up, you could check our guide in [GitHub](https://github.com/letsnode/storynetwork/tree/main/Dashboard)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-10-19T14:51:53.000Z","updatedAt":"2024-10-19T20:43:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22119"},{"rel":"revisions","href":"/dashboards/22119/revisions"},{"rel":"revision","href":"/dashboards/22119/revisions/1"},{"rel":"download","href":"/dashboards/22119/revisions/1/download"},{"rel":"org","href":"/orgs/alexhuk3"},{"rel":"images","href":"/dashboards/22119/images"},{"rel":"thumbnails","href":"/dashboards/22119/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22081,"status":1,"statusCode":"active","orgId":1029960,"orgSlug":"hyeongjundev","orgName":"HyeongjunYu","slug":"story-validator-dashboard-by-despread","downloads":274,"revisionId":34685,"revision":2,"name":"Story Validator Dashboard by DeSpread","description":"This dashboard offers a detailed overview of a Story blockchain node's health, performance, and system metrics to optimize and maintain node efficiency.","readme":"This dashboard offers a complete overview of the health and performance of a Story blockchain node. It tracks sync status, consensus metrics, block processing times, transaction activity, validator participation, and system resource usage. 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","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-11-12T14:16:36.000Z","updatedAt":"2017-11-12T14:29:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3698"},{"rel":"revisions","href":"/dashboards/3698/revisions"},{"rel":"revision","href":"/dashboards/3698/revisions/1"},{"rel":"download","href":"/dashboards/3698/revisions/1/download"},{"rel":"org","href":"/orgs/itboffin"},{"rel":"images","href":"/dashboards/3698/images"},{"rel":"thumbnails","href":"/dashboards/3698/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17326,"status":1,"statusCode":"active","orgId":730853,"orgSlug":"samuelbarata","orgName":"samuelbarata","slug":"super-simple-nginx-dashboard","downloads":344,"revisionId":26634,"revision":1,"name":"Super Simple Nginx Dashboard","description":"The most simples nginx dashboard possible","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"nginx","datasource":"InfluxDB","privacy":"public","createdAt":"2022-11-01T22:37:57.000Z","updatedAt":"2022-11-01T22:40:26.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17326"},{"rel":"revisions","href":"/dashboards/17326/revisions"},{"rel":"revision","href":"/dashboards/17326/revisions/1"},{"rel":"download","href":"/dashboards/17326/revisions/1/download"},{"rel":"org","href":"/orgs/samuelbarata"},{"rel":"images","href":"/dashboards/17326/images"},{"rel":"thumbnails","href":"/dashboards/17326/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23433,"status":1,"statusCode":"active","orgId":534328,"orgSlug":"sheldonrodriguez","orgName":"sheldonrodriguez","slug":"support-sheldon","downloads":241,"revisionId":37217,"revision":1,"name":"Support_Sheldon","description":"Landing Dashboard and call overview information","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Google BigQuery","privacy":"public","createdAt":"2025-05-14T17:28:20.000Z","updatedAt":"2025-05-14T17:29:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23433"},{"rel":"revisions","href":"/dashboards/23433/revisions"},{"rel":"revision","href":"/dashboards/23433/revisions/1"},{"rel":"download","href":"/dashboards/23433/revisions/1/download"},{"rel":"org","href":"/orgs/sheldonrodriguez"},{"rel":"images","href":"/dashboards/23433/images"},{"rel":"thumbnails","href":"/dashboards/23433/thumbnails"}],"datasourceSlugs":["grafana-bigquery-datasource"]},{"id":24523,"status":1,"statusCode":"active","orgId":379916,"orgSlug":"jurajsim","orgName":"jurajsim","slug":"x1206-ups","downloads":31,"revisionId":39263,"revision":1,"name":"Suptronics X1206 UPS Monitoring","description":"Monitors voltage and battery capacity of Suptronics X1206 UPS board.","readme":"Dashboard to monitor Suptronics [X1206 UPS](https://suptronics.com/Raspberrypi/Power_mgmt/x1206-v1.1.html) mounted on Raspberry PI5. This board requires exporter from [simonjur/x1206-docker-nodejs-rpi5-monitor](https://github.com/simonjur/x1206-docker-nodejs-rpi5-monitor).\r\n\r\nDashboard provides:\r\n- UPS overview: battery voltage and capacity (%) stats\r\n\r\n- Timeseries data - same as above only plotted on timeline\r\n\r\n- Exporter info - some stats of nodejs process running in docker container (taken from [nodejs dashboard](https://grafana.com/grafana/dashboards/11159-nodejs-application-dashboard/))\r\n\r\nHow to use it:\r\n- run the exporter [through docker compose](https://github.com/simonjur/x1206-docker-nodejs-rpi5-monitor?tab=readme-ov-file#running-through-composer)\r\n- add exporter to prometheus\r\n- install this dashboard and pick prometheus datasource\r\n- to make node process stats work, you have to specify exporter hostname with port as it is available to prometheus (in my case it runs on localhost, port 7001, so within docker this will be host.docker.internal:7001)\r\n\r\nExample prometheus configuration: \r\n```\r\n...\r\nscrape_configs:\r\n   - job_name: 'x1206-exporter'\r\n      static_configs:\r\n        - targets: ['host.docker.internal:7001']\r\n      metrics_path: '/metrics'\r\n...\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-12-08T00:16:25.000Z","updatedAt":"2025-12-09T23:28:04.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24523"},{"rel":"revisions","href":"/dashboards/24523/revisions"},{"rel":"revision","href":"/dashboards/24523/revisions/1"},{"rel":"download","href":"/dashboards/24523/revisions/1/download"},{"rel":"org","href":"/orgs/jurajsim"},{"rel":"images","href":"/dashboards/24523/images"},{"rel":"thumbnails","href":"/dashboards/24523/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10577,"status":1,"statusCode":"active","orgId":265053,"orgSlug":"joeymad1","orgName":"joeymad1","slug":"surfboard-sb8200","downloads":447,"revisionId":14782,"revision":1,"name":"Surfboard SB8200","description":"https://github.com/nichols-356/nagios_sb8200","readme":"https://github.com/nichols-356/nagios_sb8200","collectorType":"Icinga","collectorConfig":"https://github.com/nichols-356/nagios_sb8200","collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2019-07-20T20:47:35.000Z","updatedAt":"2019-07-20T20:49:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":1,"links":[{"rel":"self","href":"/dashboards/10577"},{"rel":"revisions","href":"/dashboards/10577/revisions"},{"rel":"revision","href":"/dashboards/10577/revisions/1"},{"rel":"download","href":"/dashboards/10577/revisions/1/download"},{"rel":"org","href":"/orgs/joeymad1"},{"rel":"images","href":"/dashboards/10577/images"},{"rel":"thumbnails","href":"/dashboards/10577/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":14893,"status":1,"statusCode":"active","orgId":522168,"orgSlug":"tripleconsult","orgName":"tripleconsult","slug":"ids-ips","downloads":1566,"revisionId":22191,"revision":1,"name":"suricata - IDS & IPS","description":"Surricata, IDS/IPS","readme":"# IDS / IPS Dashboard\ndashboard that visualizes suricata entries  \nfor updates visit [https://github.com/TripleConsult/suricata_grafana_dashboard](https://github.com/TripleConsult/suricata_grafana_dashboard)  \nthis is the updated version from dashboard id 5243\n\n## Require\nsuricata  \nelasticsearch <7.xx  \nfilebeat <7.xx  \ngrafana 7.xx/8.xx  \n\n## Configure\n\nfilebeat:\n```\n# ---------------------------- Elasticsearch Output ----------------------------\noutput.elasticsearch:\n  # Array of hosts to connect to.\n  hosts: [\"yourhostip:port\"]\n  # index: \"filebeat-suricata\"\n  # Protocol - either `http` (default) or `https`.\n  #protocol: \"https\"\n\n  # Authentication credentials - either API key or username/password.\n  #api_key: \"id:api_key\"\n  username: \"elasticuser\"\n  password: \"setsecrethere\"\n```\nwe use the suricata module from filebeat:\n\n```\ncd /etc/filebeat/modules.d\nmv suricata.yml.disabled suricata.yml\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2021-08-19T13:05:33.000Z","updatedAt":"2021-08-27T11:54:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14893"},{"rel":"revisions","href":"/dashboards/14893/revisions"},{"rel":"revision","href":"/dashboards/14893/revisions/1"},{"rel":"download","href":"/dashboards/14893/revisions/1/download"},{"rel":"org","href":"/orgs/tripleconsult"},{"rel":"images","href":"/dashboards/14893/images"},{"rel":"thumbnails","href":"/dashboards/14893/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":22247,"status":1,"statusCode":"active","orgId":1244189,"orgSlug":"elhackernet","orgName":"elhackernet","slug":"suricata-logs-json","downloads":1006,"revisionId":34975,"revision":2,"name":"Suricata Log Eve JSON","description":"Example using Suricata HoneyPot T-Pot TCE\r\nEve.json","readme":"Suricata eve JSON format\r\n\r\n/etc/suricata/suricata.yaml\r\n\r\n  # Extensible Event Format (nicknamed EVE) event log in JSON format\r\n  - eve-log:\r\n      enabled: yes\r\n      filename: eve.json\r\n\r\n\r\nPromtail config\r\n\r\n  - job_name: suricata\r\n         - json:\r\n             expressions:\r\n               event_type: event_type\r\n               src_ip: src_ip\r\n               proto: proto\r\n               dest_port: dest_port\r\n               alert:\r\n         - json:\r\n             expressions:\r\n               action: action\r\n               signature_id: signature_id\r\n               category: category\r\n               severity: severity\r\n             source: alert\r\n         - labels:\r\n             event_type:\r\n             src_ip:\r\n             proto:\r\n             dest_port:\r\n             signature_id:\r\n             signature:\r\n             category:\r\n             severity:\r\n    static_configs:\r\n      - targets:\r\n        - localhost\r\n        labels:\r\n          job: suricata_logs\r\n          __path__: /var/log/suricata/eve.json\r\n\r\n\r\nAll config available at:\r\nhttps://blog.elhacker.net/2024/11/visualizar-con-grafana-los-eventos-del-ids-suricata-eve-json.html","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2024-11-09T15:21:55.000Z","updatedAt":"2024-11-13T09:54:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22247"},{"rel":"revisions","href":"/dashboards/22247/revisions"},{"rel":"revision","href":"/dashboards/22247/revisions/2"},{"rel":"download","href":"/dashboards/22247/revisions/2/download"},{"rel":"org","href":"/orgs/elhackernet"},{"rel":"images","href":"/dashboards/22247/images"},{"rel":"thumbnails","href":"/dashboards/22247/thumbnails"}],"datasourceSlugs":["loki"]},{"id":5243,"status":1,"statusCode":"active","orgId":77168,"orgSlug":"opc31199","orgName":"Sysadmins de Cuba","slug":"suricata-graylog","downloads":1866,"revisionId":7167,"revision":3,"name":"Suricata-Graylog","description":"","readme":"","collectorType":"Beats","collectorConfig":"```#------------------------- File prospectors --------------------------------\r\nfilebeat.prospectors:\r\n \r\n- input_type: log\r\n  paths:\r\n  - /var/log/suricata/*/eve.json*\r\n  fields_under_root: true\r\n  fields:\r\n    type: \"suricataIDPS\"\r\n    tags: [\"SuricataIDPS\",\"JSON\"]\r\n \r\n#----------------------------- Logstash output --------------------------------\r\noutput.logstash:\r\n  hosts: [\"192.168.1.123:5042\"]\r\n \r\n#---------------------------- filebeat logging -------------------------------\r\n \r\nlogging.to_files: true\r\nlogging.files:\r\n  path: /var/log/filebeat\r\n  name: filebeat.log\r\n  keepfiles: 7```","collectorPluginList":"Filebeat","datasource":"Elasticsearch","privacy":"public","createdAt":"2018-03-24T23:56:23.000Z","updatedAt":"2018-03-30T00:27:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5243"},{"rel":"revisions","href":"/dashboards/5243/revisions"},{"rel":"revision","href":"/dashboards/5243/revisions/3"},{"rel":"download","href":"/dashboards/5243/revisions/3/download"},{"rel":"org","href":"/orgs/opc31199"},{"rel":"images","href":"/dashboards/5243/images"},{"rel":"thumbnails","href":"/dashboards/5243/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":17570,"status":1,"statusCode":"active","orgId":363584,"orgSlug":"suse","orgName":"suse","slug":"uyuni-client-systems","downloads":375,"revisionId":26967,"revision":1,"name":"SUSE Manager Client Systems","description":"Overview of monitored client systems","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-12-08T15:03:59.000Z","updatedAt":"2022-12-08T15:21:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17570"},{"rel":"revisions","href":"/dashboards/17570/revisions"},{"rel":"revision","href":"/dashboards/17570/revisions/1"},{"rel":"download","href":"/dashboards/17570/revisions/1/download"},{"rel":"org","href":"/orgs/suse"},{"rel":"images","href":"/dashboards/17570/images"},{"rel":"thumbnails","href":"/dashboards/17570/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23039,"status":1,"statusCode":"active","orgId":1370216,"orgSlug":"ericomendonca","orgName":"ericomendonca","slug":"suse-manager-general-reports","downloads":297,"revisionId":36391,"revision":1,"name":"SUSE Manager General Reports","description":"Reports using the reporting database from SUSE Manager. Needs a corresponding PostgreSQL data source.","readme":"This is a collection of useful reports generated from Uyuni/SUSE Manager's reporting database. Requires a valid PostgreSQL data source.\r\n\r\nIncludes dynamic progress stats and surveys for package versions, systems inventory and scheduled actions.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2025-03-08T04:58:51.000Z","updatedAt":"2025-03-08T05:07:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23039"},{"rel":"revisions","href":"/dashboards/23039/revisions"},{"rel":"revision","href":"/dashboards/23039/revisions/1"},{"rel":"download","href":"/dashboards/23039/revisions/1/download"},{"rel":"org","href":"/orgs/ericomendonca"},{"rel":"images","href":"/dashboards/23039/images"},{"rel":"thumbnails","href":"/dashboards/23039/thumbnails"}],"datasourceSlugs":["grafana-postgresql-datasource"]},{"id":17569,"status":1,"statusCode":"active","orgId":363584,"orgSlug":"suse","orgName":"suse","slug":"uyuni-server","downloads":354,"revisionId":26966,"revision":1,"name":"SUSE Manager Server","description":"Overview of SUSE Manager server","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-12-08T14:59:46.000Z","updatedAt":"2022-12-08T15:01:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17569"},{"rel":"revisions","href":"/dashboards/17569/revisions"},{"rel":"revision","href":"/dashboards/17569/revisions/1"},{"rel":"download","href":"/dashboards/17569/revisions/1/download"},{"rel":"org","href":"/orgs/suse"},{"rel":"images","href":"/dashboards/17569/images"},{"rel":"thumbnails","href":"/dashboards/17569/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11836,"status":1,"statusCode":"active","orgId":59972,"orgSlug":"fadjar340","orgName":"Fadjar Tandabawana","slug":"suspicious-attempt","downloads":557,"revisionId":16801,"revision":1,"name":"Suspicious Attempt","description":"Suspicious Attempts to Sonicwall Firewall\r\nLog file sent to rsyslog, upload to elasticsearch using custom logstash (7.5.0) and visualized using Grafana 6.6.2","readme":"Sonicwall Firewall -> Centralized Syslog -> Logstash -> Elasticsearch -> Grafana","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2020-03-02T12:24:57.000Z","updatedAt":"2020-03-02T12:28:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11836"},{"rel":"revisions","href":"/dashboards/11836/revisions"},{"rel":"revision","href":"/dashboards/11836/revisions/1"},{"rel":"download","href":"/dashboards/11836/revisions/1/download"},{"rel":"org","href":"/orgs/fadjar340"},{"rel":"images","href":"/dashboards/11836/images"},{"rel":"thumbnails","href":"/dashboards/11836/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":22417,"status":1,"statusCode":"active","orgId":1141562,"orgSlug":"da951079327","orgName":"da951079327","slug":"sview-tomcat","downloads":330,"revisionId":35219,"revision":1,"name":"SView tomcat","description":"jmx exporter monitor","readme":"# 这是一个基于prometheus、jmx_exporter-1.0.1的tomcat基本仪表盘\r\n最上面项目、名称是我自己增加了信息，如没有请去除\r\njmx_exporter配置如下\r\n```bash\r\n# https://grafana.com/grafana/dashboards/8704-tomcat-dashboard/\r\n---   \r\nlowercaseOutputLabelNames: true\r\nlowercaseOutputName: true\r\nwhitelistObjectNames: [\"java.lang:type=OperatingSystem\", \"Catalina:*\"]\r\nblacklistObjectNames: []\r\nrules:\r\n  - pattern: 'Catalina<type=Server><>serverInfo: (.+)'\r\n    name: tomcat_serverinfo\r\n    value: 1\r\n    labels:\r\n      serverInfo: \"$1\"\r\n    type: COUNTER\r\n  - pattern: 'Catalina<type=GlobalRequestProcessor, name=\\\"(\\w+-\\w+)-(\\d+)\\\"><>(\\w+):'\r\n    name: tomcat_$3_total\r\n    labels:\r\n      port: \"$2\"\r\n      protocol: \"$1\"\r\n    help: Tomcat global $3\r\n    type: COUNTER\r\n  - pattern: 'Catalina<j2eeType=Servlet, WebModule=//([-a-zA-Z0-9+&@#/%?=~_|!:.,;]*[-a-zA-Z0-9+&@#/%=~_|]), name=([-a-zA-Z0-9+/$%~_-|!.]*), J2EEApplication=none, J2EEServer=none><>(requestCount|processingTime|errorCount):'\r\n    name: tomcat_servlet_$3_total\r\n    labels:\r\n      module: \"$1\"\r\n      servlet: \"$2\"\r\n    help: Tomcat servlet $3 total\r\n    type: COUNTER\r\n  - pattern: 'Catalina<type=ThreadPool, name=\"(\\w+-\\w+)-(\\d+)\"><>(currentThreadCount|currentThreadsBusy|keepAliveCount|connectionCount|acceptCount|acceptorThreadCount|pollerThreadCount|maxThreads|minSpareThreads):'\r\n    name: tomcat_threadpool_$3\r\n    labels:\r\n      port: \"$2\"\r\n      protocol: \"$1\"\r\n    help: Tomcat threadpool $3\r\n    type: GAUGE\r\n  - pattern: 'Catalina<type=Manager, host=([-a-zA-Z0-9+&@#/%?=~_|!:.,;]*[-a-zA-Z0-9+&@#/%=~_|]), context=([-a-zA-Z0-9+/$%~_-|!.]*)><>(processingTime|sessionCounter|rejectedSessions|expiredSessions):'\r\n    name: tomcat_session_$3_total\r\n    labels:\r\n      context: \"$2\"\r\n      host: \"$1\"\r\n    help: Tomcat session $3 total\r\n    type: COUNTER   \r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-11-27T02:37:13.000Z","updatedAt":"2024-11-27T07:15:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22417"},{"rel":"revisions","href":"/dashboards/22417/revisions"},{"rel":"revision","href":"/dashboards/22417/revisions/1"},{"rel":"download","href":"/dashboards/22417/revisions/1/download"},{"rel":"org","href":"/orgs/da951079327"},{"rel":"images","href":"/dashboards/22417/images"},{"rel":"thumbnails","href":"/dashboards/22417/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3091,"status":1,"statusCode":"active","orgId":82588,"orgSlug":"sv2","orgName":"sv2","slug":"swagger-stats-dashboard-v3","downloads":5557,"revisionId":19044,"revision":4,"name":"swagger-stats dashboard v3","description":"Swagger-Stats Main Dashboard Revision  3","readme":"# swagger-stats Main Dashboard\n\n\n###  [http://swaggerstats.io](http://swaggerstats.io) | [Documentation](http://swaggerstats.io/docs.html) \n\n[![npm version](https://badge.fury.io/js/swagger-stats.svg)](https://badge.fury.io/js/swagger-stats)\n\n[https://github.com/slanatech/swagger-stats](https://github.com/slanatech/swagger-stats)\n\n**swagger-stats** traces REST API requests and responses in Node.js Microservices, and collects metrics per API Operation.\nswagger-stats detects API operations based on express routes. You may also provide [Swagger (Open API) specification](https://swagger.io/specification/), \nand swagger-stats will match API requests with API Operations defined in swagger specification. \n\n**swagger-stats** exposes [Prometheus](https://prometheus.io/)  metrics per API Operation,  using labels like `method=\"GET\"` and `path=\"/pet/{petId}\"`,\nso you may use [Prometheus](https://prometheus.io/) and [Grafana](https://grafana.com/) for API monitoring and alerting\n\nThis Dashboard is a summary top-level view on API Operation metrics provided by swagger-stats.\n\n# Prometheus Queries using swagger-stats metrics\n\n## Get Request Rate, Error Rate, Success Rate\n\n```\nsum (irate(api_request_total[1m]))\nsum (irate(api_request_total{code=~\"^5..$\"}[1m]))\nsum (irate(api_request_total{code=~\"^4..$\"}[1m]))\nsum (irate(api_request_total{code=~\"^2..$\"}[1m]))\n\n```\n\n## Get % of errors \n\n```\n( api_all_errors_total / api_all_request_total ) * 100\n```\n\n## Get Apdex Score\n\n> How Apdex Score is calculated: [Apdex Score](https://en.wikipedia.org/wiki/Apdex) \n\n```\n(\n  sum(rate(api_request_duration_milliseconds_bucket{le=\"25\",code=~\"^2..$\"}[1m]))\n+\n  sum(rate(api_request_duration_milliseconds_bucket{le=\"100\",code=~\"^2..$\"}[1m]))\n) / 2 / sum(irate(api_request_duration_milliseconds_count[1m]))\n```\n\n## Get Request Rate by Method\n\n```\nsum by(method) (irate(api_request_total[1m]))\n``` \n\n## Get % of request answered within threshold, over time \n\n> Use `le=\"XX\"` to set threshold, i.e. `le=\"25\"` for % of request answered under 25 msec.\n> Values of `le` should be from the list of bucket values specified in swagger-stats option `durationBuckets` \n\n```\n( sum(irate(api_request_duration_milliseconds_bucket{le=\"25\"}[1m])) /  sum(irate(api_request_duration_milliseconds_count[1m])) ) * 100\n``` \n \n## Get Top 3 API Calls by Path, over time \n\n```\ntopk(3, sum(irate(api_request_total[1m])) by (path))\n```   \n\n## Get Top 3 5XX Errors By Path, over time \n\n```\ntopk(3, sum(irate(api_request_total{code=~\"^5..$\"}[1m])) by (path))\n```   \n\n## Get Node.js process CPU Usage % \n\n```\nnodejs_process_cpu_usage_percentage\n```\n\n## Get Node.js process Used Heap in MB\n\n```\n(nodejs_process_memory_heap_used_bytes)/1048576\n```\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-09-02T04:07:55.000Z","updatedAt":"2020-10-06T22:38:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/3091"},{"rel":"revisions","href":"/dashboards/3091/revisions"},{"rel":"revision","href":"/dashboards/3091/revisions/4"},{"rel":"download","href":"/dashboards/3091/revisions/4/download"},{"rel":"org","href":"/orgs/sv2"},{"rel":"images","href":"/dashboards/3091/images"},{"rel":"thumbnails","href":"/dashboards/3091/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18312,"status":1,"statusCode":"active","orgId":818402,"orgSlug":"warpcc","orgName":"warpcc","slug":"swagger-stats-dashboard-v3","downloads":403,"revisionId":28123,"revision":1,"name":"swagger-stats dashboard v3","description":"Swagger-Stats Main Dashboard Revision  3","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-19T14:29:51.000Z","updatedAt":"2023-03-19T14:30:23.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18312"},{"rel":"revisions","href":"/dashboards/18312/revisions"},{"rel":"revision","href":"/dashboards/18312/revisions/1"},{"rel":"download","href":"/dashboards/18312/revisions/1/download"},{"rel":"org","href":"/orgs/warpcc"},{"rel":"images","href":"/dashboards/18312/images"},{"rel":"thumbnails","href":"/dashboards/18312/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15891,"status":1,"statusCode":"active","orgId":615607,"orgSlug":"petar23","orgName":"petar23","slug":"swapdex-validator-essentials","downloads":453,"revisionId":24094,"revision":1,"name":"SwapDEX Validator Essentials","description":"SwapDEX chain main metrics, suitable for node monitoring in 2022 - \r\nTutorial: https://docs.swapdex.network/validator-guides/node-monitoring/","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus AlertManager, Prometheus","privacy":"public","createdAt":"2022-03-13T23:36:56.000Z","updatedAt":"2022-03-13T23:37:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15891"},{"rel":"revisions","href":"/dashboards/15891/revisions"},{"rel":"revision","href":"/dashboards/15891/revisions/1"},{"rel":"download","href":"/dashboards/15891/revisions/1/download"},{"rel":"org","href":"/orgs/petar23"},{"rel":"images","href":"/dashboards/15891/images"},{"rel":"thumbnails","href":"/dashboards/15891/thumbnails"}],"datasourceSlugs":["camptocamp-prometheus-alertmanager-datasource","prometheus"]},{"id":22768,"status":1,"statusCode":"active","orgId":1335817,"orgSlug":"jatonwince","orgName":"jatonwince","slug":"swapdex-validator-essentials","downloads":348,"revisionId":35928,"revision":1,"name":"SwapDEX Validator Essentials","description":"SwapDEX chain main metrics, suitable for node monitoring in 2022 - \r\nTutorial: https://docs.swapdex.network/validator-guides/node-monitoring/","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus AlertManager Datasource, Prometheus","privacy":"public","createdAt":"2025-01-29T03:57:44.000Z","updatedAt":"2025-01-29T03:58:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22768"},{"rel":"revisions","href":"/dashboards/22768/revisions"},{"rel":"revision","href":"/dashboards/22768/revisions/1"},{"rel":"download","href":"/dashboards/22768/revisions/1/download"},{"rel":"org","href":"/orgs/jatonwince"},{"rel":"images","href":"/dashboards/22768/images"},{"rel":"thumbnails","href":"/dashboards/22768/thumbnails"}],"datasourceSlugs":["camptocamp-prometheus-alertmanager-datasource","prometheus"]},{"id":14483,"status":1,"statusCode":"active","orgId":347119,"orgSlug":"jhoglin","orgName":"jhoglin","slug":"swar-plot-manager","downloads":283,"revisionId":21437,"revision":2,"name":"Swar Plot Manager","description":"","readme":"Presents metrics from Swar-Chia-Plot-Manager and nodeExporter.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-05-23T20:45:03.000Z","updatedAt":"2021-05-24T05:36:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14483"},{"rel":"revisions","href":"/dashboards/14483/revisions"},{"rel":"revision","href":"/dashboards/14483/revisions/2"},{"rel":"download","href":"/dashboards/14483/revisions/2/download"},{"rel":"org","href":"/orgs/jhoglin"},{"rel":"images","href":"/dashboards/14483/images"},{"rel":"thumbnails","href":"/dashboards/14483/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14964,"status":1,"statusCode":"active","orgId":499702,"orgSlug":"ymc023","orgName":"ymc023","slug":"swarm-cadvisor-darshboard","downloads":396,"revisionId":22342,"revision":1,"name":"swarm cadvisor darshboard","description":"swarm cadvisor ","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-09-03T08:49:48.000Z","updatedAt":"2021-09-03T08:51:34.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14964"},{"rel":"revisions","href":"/dashboards/14964/revisions"},{"rel":"revision","href":"/dashboards/14964/revisions/1"},{"rel":"download","href":"/dashboards/14964/revisions/1/download"},{"rel":"org","href":"/orgs/ymc023"},{"rel":"images","href":"/dashboards/14964/images"},{"rel":"thumbnails","href":"/dashboards/14964/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3674,"status":1,"statusCode":"active","orgId":97658,"orgSlug":"mlabouardy","orgName":"mlabouardy","slug":"swarm","downloads":836,"revisionId":5045,"revision":1,"name":"Swarm Cluster","description":"Exploring Swarm & Container Overview Dashboard in Grafana","readme":"How to use ? [Github](https://github.com/mlabouardy/swarm-tig)","collectorType":"Telegraf","collectorConfig":"```\r\n[global_tags]\r\nenvironment=\"swarm\"\r\n\r\n# Read metrics about CPU usage\r\n[[inputs.cpu]]\r\n  percpu = false\r\n  totalcpu = true\r\n  fieldpass = [ \"usage*\" ]\r\n  name_suffix = \"_vm\"\r\n\r\n# Read metrics about disk usagee\r\n[[inputs.disk]]\r\n  fielddrop = [ \"inodes*\" ]\r\n  mount_points=[\"/\"]\r\n  name_suffix = \"_vm\"\r\n\r\n# Read metrics about network usage\r\n[[inputs.net]]\r\n  interfaces = [ \"eth0\" ]\r\n  fielddrop = [ \"icmp*\", \"ip*\", \"tcp*\", \"udp*\" ]\r\n  name_suffix = \"_vm\"\r\n\r\n# Read metrics about memory usage\r\n[[inputs.mem]]\r\n  name_suffix = \"_vm\"\r\n\r\n# Read metrics about swap memory usage\r\n[[inputs.swap]]\r\n  name_suffix = \"_vm\"\r\n\r\n# Read metrics about system load & uptime\r\n[[inputs.system]]\r\n  name_suffix = \"_vm\"\r\n\r\n# Read metrics from docker socket api\r\n[[inputs.docker]]\r\n  endpoint = \"unix:///var/run/docker.sock\"\r\n  container_names = []\r\n  name_suffix = \"_docker\"\r\n\r\n[[outputs.influxdb]]\r\n  database = \"vm_metrics\"\r\n  urls = [\"http://influxdb:8086\"]\r\n  namepass = [\"*_vm\"]\r\n\r\n[[outputs.influxdb]]\r\n  database = \"docker_metrics\"\r\n  urls = [\"http://influxdb:8086\"]\r\n  namepass = [\"*_docker\"]\r\n```","collectorPluginList":"system, docker, influxdb","datasource":"InfluxDB","privacy":"public","createdAt":"2017-11-10T12:54:30.000Z","updatedAt":"2017-11-10T13:03:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3674"},{"rel":"revisions","href":"/dashboards/3674/revisions"},{"rel":"revision","href":"/dashboards/3674/revisions/1"},{"rel":"download","href":"/dashboards/3674/revisions/1/download"},{"rel":"org","href":"/orgs/mlabouardy"},{"rel":"images","href":"/dashboards/3674/images"},{"rel":"thumbnails","href":"/dashboards/3674/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":7007,"status":1,"statusCode":"active","orgId":169220,"orgSlug":"mterzo","orgName":"Mike  Terzo","slug":"swarm-stack-monitoring","downloads":1061,"revisionId":9542,"revision":2,"name":"Swarm Stack Monitoring","description":"Simple docker swarm monitoring with relation to individual stacks.","readme":"Prometheus collecting data from google/cadvisor.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-17T08:44:17.000Z","updatedAt":"2018-07-17T12:51:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7007"},{"rel":"revisions","href":"/dashboards/7007/revisions"},{"rel":"revision","href":"/dashboards/7007/revisions/2"},{"rel":"download","href":"/dashboards/7007/revisions/2/download"},{"rel":"org","href":"/orgs/mterzo"},{"rel":"images","href":"/dashboards/7007/images"},{"rel":"thumbnails","href":"/dashboards/7007/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12746,"status":1,"statusCode":"active","orgId":405441,"orgSlug":"teymt3","orgName":"teymt3","slug":"node-exporter-for-prometheus-dashboard","downloads":293,"revisionId":18350,"revision":1,"name":"swi","description":"支持 Node Exporter v0.16及以上的版本，精简优化重要指标展示。包含：CPU 内存 磁盘 IO 网络 温度等监控指标。https://github.com/starsliao/Prometheus","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-08-03T04:08:22.000Z","updatedAt":"2020-08-03T04:08:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12746"},{"rel":"revisions","href":"/dashboards/12746/revisions"},{"rel":"revision","href":"/dashboards/12746/revisions/1"},{"rel":"download","href":"/dashboards/12746/revisions/1/download"},{"rel":"org","href":"/orgs/teymt3"},{"rel":"images","href":"/dashboards/12746/images"},{"rel":"thumbnails","href":"/dashboards/12746/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21854,"status":1,"statusCode":"active","orgId":1118912,"orgSlug":"marcusronney","orgName":"marcusronney","slug":"switch-cisco","downloads":1923,"revisionId":37594,"revision":2,"name":"Switch CISCO","description":"","readme":"**Dashboard construída 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Open issues and create feature requests in the repository.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2025-10-13T09:00:07.000Z","updatedAt":"2026-04-27T22:00:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24238"},{"rel":"revisions","href":"/dashboards/24238/revisions"},{"rel":"revision","href":"/dashboards/24238/revisions/3"},{"rel":"download","href":"/dashboards/24238/revisions/3/download"},{"rel":"org","href":"/orgs/adinhodovic"},{"rel":"images","href":"/dashboards/24238/images"},{"rel":"thumbnails","href":"/dashboards/24238/thumbnails"}]},{"id":21557,"status":1,"statusCode":"active","orgId":657186,"orgSlug":"reefland","orgName":"reefland","slug":"syncthing-exporter-0-3-7","downloads":787,"revisionId":33658,"revision":1,"name":"Syncthing Exporter 0.3.7","description":"Dashboard for Syncthing Exporter","readme":"Dashboard for Syncthing Exporter (https://github.com/f100024/syncthing_exporter)\r\n\r\nI was unable to get the Project's example dashboard from GitHub working.  In the end I redesigned it.\r\n\r\nTested with Kube Prometheus Stack, Grafana, Syncthing exporter, syncthing all running within Kubernetes.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-07-21T01:07:24.000Z","updatedAt":"2024-07-21T01:09:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21557"},{"rel":"revisions","href":"/dashboards/21557/revisions"},{"rel":"revision","href":"/dashboards/21557/revisions/1"},{"rel":"download","href":"/dashboards/21557/revisions/1/download"},{"rel":"org","href":"/orgs/reefland"},{"rel":"images","href":"/dashboards/21557/images"},{"rel":"thumbnails","href":"/dashboards/21557/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19560,"status":1,"statusCode":"active","orgId":790073,"orgSlug":"gmem","orgName":"gmem","slug":"syncthing-metrics","downloads":1584,"revisionId":30006,"revision":1,"name":"Syncthing Metrics","description":"Syncthing Metrics from the native Prometheus metrics endpoint","readme":"Metrics from the native Syncthing metrics endpoint introduced in version 1.24.0. [Learn more](https://docs.syncthing.net/users/metrics)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-09-14T08:16:32.000Z","updatedAt":"2023-09-14T08:21:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19560"},{"rel":"revisions","href":"/dashboards/19560/revisions"},{"rel":"revision","href":"/dashboards/19560/revisions/1"},{"rel":"download","href":"/dashboards/19560/revisions/1/download"},{"rel":"org","href":"/orgs/gmem"},{"rel":"images","href":"/dashboards/19560/images"},{"rel":"thumbnails","href":"/dashboards/19560/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":1727,"status":1,"statusCode":"active","orgId":51305,"orgSlug":"jperillo","orgName":"Jean-François Perillo","slug":"synology-dashboard","downloads":3446,"revisionId":2297,"revision":1,"name":"Synology DashBoard","description":"A Dashboard to monitor Synology NAS","readme":"Dashboard for monitoring of Synology NAS via SNMP.\n\nThe Telegraf collector configuration is MIB-based so all of the required MIBs you will need and the telegraf configuration files are available in https://github.com/jperillo/Synology_dashboard_grafana\n\n","collectorType":"Telegraf","collectorConfig":"","collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2017-03-22T17:50:12.000Z","updatedAt":"2017-03-22T18:41:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/1727"},{"rel":"revisions","href":"/dashboards/1727/revisions"},{"rel":"revision","href":"/dashboards/1727/revisions/1"},{"rel":"download","href":"/dashboards/1727/revisions/1/download"},{"rel":"org","href":"/orgs/jperillo"},{"rel":"images","href":"/dashboards/1727/images"},{"rel":"thumbnails","href":"/dashboards/1727/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9961,"status":1,"statusCode":"active","orgId":37890,"orgSlug":"ybizeul","orgName":"Yann Bizeul","slug":"synology-dashboard","downloads":1409,"revisionId":13911,"revision":1,"name":"Synology Dashboard","description":"A Dashboard to monitor Synology NAS, based on Jean-François Perillo work (Dashboard ID 1727).","readme":"This dashbord is based on Jean-François Perillo work (Dashboard ID [1727](https://grafana.com/dashboards/1727))\r\n- Adds individual disk template variable\r\n- Adds individual disk load and IOPS\r\n- Filters out irrelevant interface names to keep just eth* and bond*\r\n\r\nThe Telegraf collector configuration is MIB-based so all of the required MIBs you will need and the telegraf configuration files are available in [https://github.com/ybizeul/Synology_dashboard_grafana](https://github.com/ybizeul/Synology_dashboard_grafana)","collectorType":"Telegraf","collectorConfig":"Make sure telegraf has access to the following MIBs :\r\n- HOST-RESOURCES-MIB\r\n- IF-MIB\r\n- RFC1213-MIB\r\n- SYNOLOGY-DISK-MIB\r\n- SYNOLOGY-ISCSILUN-MIB\r\n- SYNOLOGY-RAID-MIB\r\n- SYNOLOGY-SERVICES-MIB\r\n- SYNOLOGY-SMART-MIB\r\n- SYNOLOGY-SPACEIO-MIB\r\n- SYNOLOGY-STORAGEIO-MIB\r\n- SYNOLOGY-SYSTEM-MIB\r\n- SYNOLOGY-UPS-MIB\r\n- UCD-DEMO-MIB\r\n- UCD-DISKIO-MIB\r\n- UCD-DLMOD-MIB\r\n- UCD-IPFILTER-MIB\r\n- UCD-IPFWACC-MIB\r\n- UCD-SNMP-MIB-OLD\r\n- UCD-SNMP-MIB\r\n\r\n```\r\n###############################################################################\r\n#                            INPUT PLUGINS                                    #\r\n###############################################################################\r\n##\r\n## Retrieves details via SNMP from remote agents\r\n##\r\n\r\n##\r\n## Synology \r\n##\r\n [[inputs.snmp]]\r\n   # List of agents to poll\r\n   agents = [  \"xxx.xxx.xxx.xxx\", \"xxx.xxx.xxx.xxx\" ]\r\n   # Polling interval\r\n   interval = \"60s\"\r\n   # Timeout for each SNMP query.\r\n   timeout = \"10s\"\r\n   # Number of retries to attempt within timeout.\r\n   retries = 3\r\n   # SNMP version, UAP only supports v1\r\n   version = 2\r\n   # SNMP community string.\r\n   community = \"public\"\r\n   # The GETBULK max-repetitions parameter\r\n   max_repetitions = 30\r\n   # Measurement name\r\n   name = \"snmp.SYNO\"\r\n   ##\r\n   ## System Details\r\n   ##\r\n   #  System name (hostname)\r\n   [[inputs.snmp.field]]\r\n     is_tag = true\r\n     name = \"sysName\"\r\n     oid = \"RFC1213-MIB::sysName.0\"\r\n   #  System vendor OID\r\n   [[inputs.snmp.field]]\r\n     name = \"sysObjectID\"\r\n     oid = \"RFC1213-MIB::sysObjectID.0\"\r\n   #  System description\r\n   [[inputs.snmp.field]]\r\n     name = \"sysDescr\"\r\n     oid = \"RFC1213-MIB::sysDescr.0\"\r\n   #  System contact\r\n   [[inputs.snmp.field]]\r\n     name = \"sysContact\"\r\n     oid = \"RFC1213-MIB::sysContact.0\"\r\n   #  System location\r\n   [[inputs.snmp.field]]\r\n     name = \"sysLocation\"\r\n     oid = \"RFC1213-MIB::sysLocation.0\"\r\n   #  System uptime\r\n   [[inputs.snmp.field]]\r\n     name = \"sysUpTime\"\r\n     oid = \"RFC1213-MIB::sysUpTime.0\"\r\n   # Inet interface\r\n   [[inputs.snmp.table]]\r\n     oid = \"IF-MIB::ifTable\"\r\n     [[inputs.snmp.table.field]]\r\n       is_tag = true\r\n     oid = \"IF-MIB::ifDescr\"\r\n   #Syno disk\r\n   [[inputs.snmp.table]]\r\n     oid = \"SYNOLOGY-DISK-MIB::diskTable\"\r\n     [[inputs.snmp.table.field]]\r\n       is_tag = true\r\n     oid = \"SYNOLOGY-DISK-MIB::diskID\" \r\n   #Syno raid\r\n   [[inputs.snmp.table]]\r\n     oid = \"SYNOLOGY-RAID-MIB::raidTable\"\r\n     [[inputs.snmp.table.field]]\r\n       is_tag = true\r\n     oid = \"SYNOLOGY-RAID-MIB::raidName\" \r\n   #Syno load\r\n   [[inputs.snmp.table]]\r\n     oid = \"UCD-SNMP-MIB::laTable\"\r\n     [[inputs.snmp.table.field]]\r\n       is_tag = true\r\n     oid = \"UCD-SNMP-MIB::laNames\"\r\n   #  System memTotalSwap\r\n   [[inputs.snmp.field]]\r\n     name = \"memTotalSwap\"\r\n     oid = \"UCD-SNMP-MIB::memTotalSwap.0\"\r\n   #  System memAvailSwap\r\n   [[inputs.snmp.field]]\r\n     name = \"memAvailSwap\"\r\n     oid = \"UCD-SNMP-MIB::memAvailSwap.0\"\r\n   #  System memTotalReal\r\n   [[inputs.snmp.field]]\r\n     name = \"memTotalReal\"\r\n     oid = \"UCD-SNMP-MIB::memTotalReal.0\"\r\n   #  System memAvailReal\r\n   [[inputs.snmp.field]]\r\n     name = \"memAvailReal\"\r\n     oid = \"UCD-SNMP-MIB::memAvailReal.0\"\r\n   #  System memTotalFree\r\n   [[inputs.snmp.field]]\r\n     name = \"memTotalFree\"\r\n     oid = \"UCD-SNMP-MIB::memTotalFree.0\"\r\n   #  System Status\r\n   [[inputs.snmp.field]]\r\n     name = \"systemStatus\"\r\n     oid = \"SYNOLOGY-SYSTEM-MIB::systemStatus.0\"\r\n   #  System temperature\r\n   [[inputs.snmp.field]]\r\n     name = \"temperature\"\r\n     oid = \"SYNOLOGY-SYSTEM-MIB::temperature.0\"\r\n   #  System powerStatus\r\n   [[inputs.snmp.field]]\r\n     name = \"powerStatus\"\r\n     oid = \"SYNOLOGY-SYSTEM-MIB::powerStatus.0\"\r\n   #  System systemFanStatus\r\n   [[inputs.snmp.field]]\r\n     name = \"systemFanStatus\"\r\n     oid = \"SYNOLOGY-SYSTEM-MIB::systemFanStatus.0\"\r\n   #  System cpuFanStatus\r\n   [[inputs.snmp.field]]\r\n     name = \"cpuFanStatus\"\r\n     oid = \"SYNOLOGY-SYSTEM-MIB::cpuFanStatus.0\"\r\n   #  System modelName\r\n   [[inputs.snmp.field]]\r\n     name = \"modelName\"\r\n     oid = \"SYNOLOGY-SYSTEM-MIB::modelName.0\"\r\n   #  System serialNumber\r\n   [[inputs.snmp.field]]\r\n     name = \"serialNumber\"\r\n     oid = \"SYNOLOGY-SYSTEM-MIB::serialNumber.0\"\r\n   #  System version\r\n   [[inputs.snmp.field]]\r\n     name = \"version\"\r\n     oid = \"SYNOLOGY-SYSTEM-MIB::version.0\"\r\n   #  System upgradeAvailable\r\n   [[inputs.snmp.field]]\r\n     name = \"upgradeAvailable\"\r\n     oid = \"SYNOLOGY-SYSTEM-MIB::upgradeAvailable.0\"\r\n   # System volume   \r\n   [[inputs.snmp.table]]\r\n     oid = \"HOST-RESOURCES-MIB::hrStorageTable\"\r\n   [[inputs.snmp.table.field]]\r\n       is_tag = true\r\n     oid = \"HOST-RESOURCES-MIB::hrStorageDescr\"\r\n   # System ssCpuUser \r\n   [[inputs.snmp.field]]\r\n     name = \"ssCpuUser\"\r\n     oid = \".1.3.6.1.4.1.2021.11.9.0\"\r\n   # System ssCpuSystem  \r\n   [[inputs.snmp.field]]\r\n     name = \"ssCpuSystem\"\r\n     oid = \".1.3.6.1.4.1.2021.11.10.0\"\r\n   # System ssCpuIdle   \r\n   [[inputs.snmp.field]]\r\n     name = \"ssCpuIdle\"\r\n     oid = \".1.3.6.1.4.1.2021.11.11.0\"\r\n   # Service users CIFS\r\n   [[inputs.snmp.table.field]]\r\n     name = \"usersCIFS\"\r\n     oid = \"SYNOLOGY-SERVICES-MIB::serviceUsers\"\r\n     oid_index_suffix = \"1\"\r\n   # Service users AFP\r\n   [[inputs.snmp.table.field]]\r\n     name = \"usersAFP\"\r\n     oid = \"SYNOLOGY-SERVICES-MIB::serviceUsers\"\r\n     oid_index_suffix = \"2\"\r\n   # Service users NFS\r\n   [[inputs.snmp.table.field]]\r\n     name = \"usersNFS\"\r\n     oid = \"SYNOLOGY-SERVICES-MIB::serviceUsers\"\r\n     oid_index_suffix = \"3\"\r\n   # Service users FTP\r\n   [[inputs.snmp.table.field]]\r\n     name = \"usersFTP\"\r\n     oid = \"SYNOLOGY-SERVICES-MIB::serviceUsers\"\r\n     oid_index_suffix = \"4\"\r\n   # Service users SFTP\r\n   [[inputs.snmp.table.field]]\r\n     name = \"usersSFTP\"\r\n     oid = \"SYNOLOGY-SERVICES-MIB::serviceUsers\"\r\n     oid_index_suffix = \"5\"\r\n   # Service users HTTP\r\n   [[inputs.snmp.table.field]]\r\n     name = \"usersHTTP\"\r\n     oid = \"SYNOLOGY-SERVICES-MIB::serviceUsers\"\r\n     oid_index_suffix = \"6\"\r\n   # Service users TELNET\r\n   [[inputs.snmp.table.field]]\r\n     name = \"usersTELNET\"\r\n     oid = \"SYNOLOGY-SERVICES-MIB::serviceUsers\"\r\n     oid_index_suffix = \"7\"\r\n   # Service users SSH\r\n   [[inputs.snmp.table.field]]\r\n     name = \"usersSSH\"\r\n     oid = \"SYNOLOGY-SERVICES-MIB::serviceUsers\"\r\n     oid_index_suffix = \"8\"\r\n   # Service users OTHER\r\n   [[inputs.snmp.table.field]]\r\n     name = \"usersOTHER\"\r\n     oid = \"SYNOLOGY-SERVICES-MIB::serviceUsers\"\r\n     oid_index_suffix = \"9\"\r\n   # UPS Status\r\n   [[inputs.snmp.table.field]]\r\n     name = \"upsStatus\"\r\n     oid = \"SYNOLOGY-UPS-MIB::upsInfoStatus\"\r\n   # UPS Load\r\n   [[inputs.snmp.table.field]]\r\n     name = \"upsLoad\"\r\n     oid = \"SYNOLOGY-UPS-MIB::upsInfoLoadValue\"\r\n   # UPS Battery Charge\r\n   [[inputs.snmp.table.field]]\r\n     name = \"upsCharge\"\r\n     oid = \"SYNOLOGY-UPS-MIB::upsBatteryChargeValue\"\r\n   # UPS Battery Charge Warning\r\n   [[inputs.snmp.table.field]]\r\n     name = \"upsWarning\"\r\n     oid = \"SYNOLOGY-UPS-MIB::upsBatteryChargeWarning\"\r\n   # Disks statistics\r\n   [[inputs.snmp.table]]\r\n     oid = \"SYNOLOGY-STORAGEIO-MIB::storageIOTable\"\r\n     [[inputs.snmp.table.field]]\r\n       is_tag = true\r\n     oid = \"SYNOLOGY-STORAGEIO-MIB::storageIODevice\"\r\n```","collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2019-03-23T08:53:25.000Z","updatedAt":"2019-03-23T09:05:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":3.33,"links":[{"rel":"self","href":"/dashboards/9961"},{"rel":"revisions","href":"/dashboards/9961/revisions"},{"rel":"revision","href":"/dashboards/9961/revisions/1"},{"rel":"download","href":"/dashboards/9961/revisions/1/download"},{"rel":"org","href":"/orgs/ybizeul"},{"rel":"images","href":"/dashboards/9961/images"},{"rel":"thumbnails","href":"/dashboards/9961/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14590,"status":1,"statusCode":"active","orgId":509494,"orgSlug":"alhazmy13","orgName":"alhazmy13","slug":"synology-dashboard","downloads":4629,"revisionId":21641,"revision":3,"name":"Synology DashBoard","description":"A Dashboard to monitor Synology NAS","readme":"# Synology NAS monitoring\r\n\r\nThe main points of this project are:\r\n\r\n* Persistence is supported via mounting volumes to a Docker container.\r\n* Grafana will store its data in SQLite files instead of a MySQL.\r\n* Added snmp packages and Synology NAS MIBS.\r\n* Enable \r\n\r\n## Run Docker image in your Synology\r\n\r\n1. Install Docker from Synology package center\r\n2. Create two empty folders in your Synology \"influxdb\" and \"grafana\", we need to use it later to mount it to our container.\r\n3. Open Docker client from Synslogy > Image > Add > Add from url and paste Hub page url \"https://hub.docker.com/r/alhazmy13/telegraf-influxdb-grafana\"\r\n4. Wait until it finishes downloading the image\r\n5. Click on the image \"alhazmy13/telegraf-influxdb-grafana\" and then click on Lunch \r\n6. Click on Advanced Settings and check \"Enable auto-restart.\"\r\n7. From the Volume tab, click Add folder and select the first folder that we created, \"grafana\" and on mount Path, paste \"/var/lib/grafana\"\r\n8. From the Volume tab again, click Add Folder and select the second folder that we created \"influxdb\" and on mount Path paste \"/var/lib/influxdb\"\r\n9. Network Tab keep it in bridge mode\r\n10. Port settings, just change Local port for 3003 from Auto to 3003, and port 514 from Auto to 5144\r\n11. Envirument Tab > Add new variable \"TZ\" with your local time zone **ignore this if you want to use the default UTC**\r\n12. Apply, Next, Done and your container should be ready.\r\n\r\n## Start Grafana\r\n\r\n1. Open [http://YOUR_LOCAL_NAS_IP:3003](http://YOUR_LOCAL_NAS_IP:3003) and login with the default username \"root\" and password \"root\"\r\n2. You need to import the dashboard. To do this, go to [http://YOUR_LOCAL_NAS_IP:3003/dashboard/import](http://YOUR_LOCAL_NAS_IP:3003/dashboard/import) and put \"14590\" in \"Import via grafana.com\" input\r\n3. click on load and complete the process\r\n\r\n## Enable Logging\r\n1. Install Log center From Synslogy package center\r\n2. Open Log center app\r\n3. click on Log Sending > check \"Send log to syslog server\"\r\n3. Set Server = \"localhost\",  port = \"5144\", Protocol = \"UDP\", Format = \"BSD (RFC 3164)\"\r\n4. For testing, click on \"Send test log\" \r\n4. Apply","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"snmp, Other","datasource":"InfluxDB","privacy":"public","createdAt":"2021-06-17T03:30:05.000Z","updatedAt":"2021-06-17T18:55:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14590"},{"rel":"revisions","href":"/dashboards/14590/revisions"},{"rel":"revision","href":"/dashboards/14590/revisions/3"},{"rel":"download","href":"/dashboards/14590/revisions/3/download"},{"rel":"org","href":"/orgs/alhazmy13"},{"rel":"images","href":"/dashboards/14590/images"},{"rel":"thumbnails","href":"/dashboards/14590/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14241,"status":1,"statusCode":"active","orgId":412046,"orgSlug":"pub","orgName":"pub","slug":"synology-dashboard","downloads":631,"revisionId":20967,"revision":2,"name":"Synology Dashboard","description":"A Dashboard to monitor Synology NAS, based on Jean-François Perillo work (Dashboard ID 1727).","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-04-16T08:43:45.000Z","updatedAt":"2021-04-17T14:39:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14241"},{"rel":"revisions","href":"/dashboards/14241/revisions"},{"rel":"revision","href":"/dashboards/14241/revisions/2"},{"rel":"download","href":"/dashboards/14241/revisions/2/download"},{"rel":"org","href":"/orgs/pub"},{"rel":"images","href":"/dashboards/14241/images"},{"rel":"thumbnails","href":"/dashboards/14241/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18720,"status":1,"statusCode":"active","orgId":854874,"orgSlug":"ymarchesseau","orgName":"ymarchesseau","slug":"synology-dashboard","downloads":343,"revisionId":28726,"revision":1,"name":"Synology DashBoard","description":"A Dashboard to monitor Synology NAS","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-05-11T17:28:31.000Z","updatedAt":"2023-05-11T17:29:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18720"},{"rel":"revisions","href":"/dashboards/18720/revisions"},{"rel":"revision","href":"/dashboards/18720/revisions/1"},{"rel":"download","href":"/dashboards/18720/revisions/1/download"},{"rel":"org","href":"/orgs/ymarchesseau"},{"rel":"images","href":"/dashboards/18720/images"},{"rel":"thumbnails","href":"/dashboards/18720/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23087,"status":1,"statusCode":"active","orgId":1376238,"orgSlug":"diddeken","orgName":"diddeken","slug":"synology-dashboard","downloads":263,"revisionId":36467,"revision":1,"name":"Synology DashBoard","description":"A Dashboard to monitor Synology NAS","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-03-14T16:21:33.000Z","updatedAt":"2025-03-14T16:23:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23087"},{"rel":"revisions","href":"/dashboards/23087/revisions"},{"rel":"revision","href":"/dashboards/23087/revisions/1"},{"rel":"download","href":"/dashboards/23087/revisions/1/download"},{"rel":"org","href":"/orgs/diddeken"},{"rel":"images","href":"/dashboards/23087/images"},{"rel":"thumbnails","href":"/dashboards/23087/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20235,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"synology-dashboard-telegraf-snmp-influxdb","downloads":814,"revisionId":31160,"revision":1,"name":"Synology Dashboard - Telegraf SNMP - InfluxDB","description":"Grafana Dashboard for Synology Devices, collecting SNMP using Telegraf, and InfluxDB","readme":"Synology Dashboard using SNMP v3. To collect data, I've used the always helpful telegraf SNMP plugin https://github.com/influxdata/telegraf/blob/master/plugins/inputs/snmp/README.md use the collector instructions from above ^\r\n\r\nI've added all the variables to the Dashboard. The Grafana dashboard it should work out of the box.\r\n\r\nIt will work with SNMP v1/v2 as well, but I totally do not recommend it, stay safe and secure.","collectorType":"Telegraf","collectorConfig":"```[[inputs.snmp]]\r\n  agents = [\"YOURSYNOLOGYIP\"]  # Replace with your Synology IP address\r\n  interval = \"30s\"\r\n  timeout = \"30s\"\r\n  retries = 3\r\n  max_repetitions = 10\r\n  version = 3\r\n  sec_name = \"YOURUSERNAME\"  # Replace with your security username\r\n  auth_protocol = \"SHA\"      # Or MD5, depending on your setup\r\n  auth_password = \"YOURPASS\"  # Replace with your auth password\r\n  sec_level = \"authPriv\"\r\n  priv_protocol = \"DES\"      # Or AES, depending on your setup\r\n  priv_password = \"YOUROTHERPASS\"  # Replace with your privacy password\r\n  name = \"snmp.Synology\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"sysName\"\r\n    oid = \"SNMPv2-MIB::sysName.0\"\r\n    is_tag = true\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"sysDescr\"\r\n    oid = \"SNMPv2-MIB::sysDescr.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"sysContact\"\r\n    oid = \"SNMPv2-MIB::sysContact.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"sysLocation\"\r\n    oid = \"SNMPv2-MIB::sysLocation.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"sysUpTime\"\r\n    oid = \"SNMPv2-MIB::sysUpTime.0\"\r\n\r\n#\r\n# UCD-SNMP-MIB::systemStats\r\n# -------------------------\r\n#\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssSwapIn\"\r\n        oid = \"UCD-SNMP-MIB::ssSwapIn.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssSwapOut\"\r\n        oid = \"UCD-SNMP-MIB::ssSwapOut.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssIOSent\"\r\n        oid = \"UCD-SNMP-MIB::ssIOSent.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssIOReceive\"\r\n        oid = \"UCD-SNMP-MIB::ssIOReceive.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssSysInterrupts\"\r\n        oid = \"UCD-SNMP-MIB::ssSysInterrupts.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssSysContext\"\r\n        oid = \"UCD-SNMP-MIB::ssSysContext.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssCpuUser\"\r\n        oid = \"UCD-SNMP-MIB::ssCpuUser.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssCpuSystem\"\r\n        oid = \"UCD-SNMP-MIB::ssCpuSystem.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssCpuIdle\"\r\n        oid = \"UCD-SNMP-MIB::ssCpuIdle.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssCpuRawUser\"\r\n        oid = \"UCD-SNMP-MIB::ssCpuRawUser.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssCpuRawNice\"\r\n        oid = \"UCD-SNMP-MIB::ssCpuRawNice.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssCpuRawSystem\"\r\n        oid = \"UCD-SNMP-MIB::ssCpuRawSystem.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssCpuRawIdle\"\r\n        oid = \"UCD-SNMP-MIB::ssCpuRawIdle.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssCpuRawWait\"\r\n        oid = \"UCD-SNMP-MIB::ssCpuRawWait.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssCpuRawKernel\"\r\n        oid = \"UCD-SNMP-MIB::ssCpuRawKernel.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssCpuRawInterrupt\"\r\n        oid = \"UCD-SNMP-MIB::ssCpuRawInterrupt.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssIORawSent\"\r\n        oid = \"UCD-SNMP-MIB::ssIORawSent.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssIORawReceived\"\r\n        oid = \"UCD-SNMP-MIB::ssIORawReceived.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssRawInterrupts\"\r\n        oid = \"UCD-SNMP-MIB::ssRawInterrupts.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssRawContexts\"\r\n        oid = \"UCD-SNMP-MIB::ssRawContexts.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssCpuRawSoftIRQ\"\r\n        oid = \"UCD-SNMP-MIB::ssCpuRawSoftIRQ.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssRawSwapIn\"\r\n        oid = \"UCD-SNMP-MIB::ssRawSwapIn.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssRawSwapOut\"\r\n        oid = \"UCD-SNMP-MIB::ssRawSwapOut.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssCpuRawSteal\"\r\n        oid = \"UCD-SNMP-MIB::ssCpuRawSteal.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssCpuRawGuest\"\r\n        oid = \"UCD-SNMP-MIB::ssCpuRawGuest.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssCpuRawGuestNice\"\r\n        oid = \"UCD-SNMP-MIB::ssCpuRawGuestNice.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n        name = \"systemStats.ssCpuNumCpus\"\r\n        oid = \"UCD-SNMP-MIB::ssCpuNumCpus.0\"\r\n\r\n#\r\n# UCD-SNMP-MIB::memory\r\n# --------------------\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"memory.memTotalSwap\"\r\n    oid = \"UCD-SNMP-MIB::memTotalSwapX.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"memory.memAvailSwap\"\r\n    oid = \"UCD-SNMP-MIB::memAvailSwapX.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"memory.memTotalReal\"\r\n    oid = \"UCD-SNMP-MIB::memTotalRealX.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"memory.memAvailReal\"\r\n    oid = \"UCD-SNMP-MIB::memAvailRealX.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"memory.memTotalFree\"\r\n    oid = \"UCD-SNMP-MIB::memTotalFreeX.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"memory.memMinimumSwap\"\r\n    oid = \"UCD-SNMP-MIB::memMinimumSwapX.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"memory.memShared\"\r\n    oid = \"UCD-SNMP-MIB::memSharedX.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"memory.memBuffer\"\r\n    oid = \"UCD-SNMP-MIB::memBufferX.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"memory.memCached\"\r\n    oid = \"UCD-SNMP-MIB::memCachedX.0\"\r\n\r\n#\r\n# HOST-RESOURCES-MIB::hrSystem\r\n# ----------------------------\r\n#\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"hrSystem.hrSystemUptime\"\r\n    oid = \"HOST-RESOURCES-MIB::hrSystemUptime.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"hrSystem.hrSystemNumUsers\"\r\n    oid = \"HOST-RESOURCES-MIB::hrSystemNumUsers.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"hrSystem.hrSystemProcesses\"\r\n    oid = \"HOST-RESOURCES-MIB::hrSystemProcesses.0\"\r\n\r\n#\r\n# SYNOLOGY-SYSTEM-MIB::synoSystem\r\n# -------------------------------\r\n#\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"synoSystem.systemStatus\"\r\n    oid = \"SYNOLOGY-SYSTEM-MIB::systemStatus.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"synoSystem.temperature\"\r\n    oid = \"SYNOLOGY-SYSTEM-MIB::temperature.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"synoSystem.powerStatus\"\r\n    oid = \"SYNOLOGY-SYSTEM-MIB::powerStatus.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"synoSystem.systemFanStatus\"\r\n    oid = \"SYNOLOGY-SYSTEM-MIB::systemFanStatus.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"synoSystem.cpuFanStatus\"\r\n    oid = \"SYNOLOGY-SYSTEM-MIB::cpuFanStatus.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"synoSystem.modelName\"\r\n    oid = \"SYNOLOGY-SYSTEM-MIB::modelName.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"synoSystem.serialNumber\"\r\n    oid = \"SYNOLOGY-SYSTEM-MIB::serialNumber.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"synoSystem.version\"\r\n    oid = \"SYNOLOGY-SYSTEM-MIB::version.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"synoSystem.upgradeAvailable\"\r\n    oid = \"SYNOLOGY-SYSTEM-MIB::upgradeAvailable.0\"\r\n\r\n\r\n# Load average\r\n[[inputs.snmp.table]]\r\n  oid = \"UCD-SNMP-MIB::laTable\"\r\n  name = \"snmp.Synology.load\"\r\n  [[inputs.snmp.table.field]]\r\n    oid = \"UCD-SNMP-MIB::laNames\"\r\n    is_tag = true\r\n\r\n# Network interface\r\n[[inputs.snmp.table]]\r\n  oid = \"IF-MIB::ifTable\"\r\n  name = \"snmp.Synology.network\"\r\n  [[inputs.snmp.table.field]]\r\n    oid = \"IF-MIB::ifDescr\"\r\n    is_tag = true\r\n\r\n[[inputs.snmp.table]]\r\n  oid = \"IF-MIB::ifXTable\"\r\n  name = \"snmp.Synology.network\"\r\n  [[inputs.snmp.table.field]]\r\n    oid = \"IF-MIB::ifName\"\r\n    is_tag = true\r\n\r\n# System volume\r\n[[inputs.snmp.table]]\r\n  oid = \"HOST-RESOURCES-MIB::hrStorageTable\"\r\n  name = \"snmp.Synology.volume\"\r\n  [[inputs.snmp.table.field]]\r\n    oid = \"HOST-RESOURCES-MIB::hrStorageDescr\"\r\n    is_tag = true\r\n\r\n# Disk\r\n[[inputs.snmp.table]]\r\n    oid = \"SYNOLOGY-DISK-MIB::diskTable\"\r\n    name = \"snmp.Synology.disk\"\r\n\r\n    [[inputs.snmp.table.field]]\r\n        oid = \"SYNOLOGY-DISK-MIB::diskID\"\r\n        is_tag = true\r\n\r\n# RAID\r\n[[inputs.snmp.table]]\r\n  oid = \"SYNOLOGY-RAID-MIB::raidTable\"\r\n  name = \"snmp.Synology.raid\"\r\n  [[inputs.snmp.table.field]]\r\n    oid = \"SYNOLOGY-RAID-MIB::raidName\"\r\n    is_tag = true\r\n\r\n# SSD cache\r\n[[inputs.snmp.table]]\r\n  oid = \"SYNOLOGY-FLASHCACHE-MIB::flashCacheTable\"\r\n  name = \"snmp.Synology.cache\"\r\n  [[inputs.snmp.table.field]]\r\n    oid = \"SYNOLOGY-FLASHCACHE-MIB::flashCacheSpaceDev\"\r\n    is_tag = true\r\n\r\n# S.M.A.R.T.\r\n[[inputs.snmp.table]]\r\n  oid = \"SYNOLOGY-SMART-MIB::diskSMARTTable\"\r\n  name = \"snmp.Synology.smart\"\r\n  [[inputs.snmp.table.field]]\r\n    oid = \"SYNOLOGY-SMART-MIB::diskSMARTInfoDevName\"\r\n    is_tag = true\r\n  [[inputs.snmp.table.field]]\r\n    oid = \"SYNOLOGY-SMART-MIB::diskSMARTAttrName\"\r\n    is_tag = true\r\n\r\n# Space IO\r\n[[inputs.snmp.table]]\r\n  oid = \"SYNOLOGY-SPACEIO-MIB::spaceIOTable\"\r\n  name = \"snmp.Synology.spaceIO\"\r\n  [[inputs.snmp.table.field]]\r\n    oid = \"SYNOLOGY-SPACEIO-MIB::spaceIODevice\"\r\n    is_tag = true\r\n\r\n# Storage IO\r\n[[inputs.snmp.table]]\r\n  oid = \"SYNOLOGY-STORAGEIO-MIB::storageIOTable\"\r\n  name = \"snmp.Synology.storageIO\"\r\n  [[inputs.snmp.table.field]]\r\n    oid = \"SYNOLOGY-STORAGEIO-MIB::storageIODevice\"\r\n    is_tag = true\r\n\r\n# eBox Information from SYNOLOGY-EBOX-MIB\r\n[[inputs.snmp.table]]\r\n  name = \"snmp.Synology.ebox\"\r\n  oid = \"SYNOLOGY-EBOX-MIB::eboxTable\"\r\n\r\n  [[inputs.snmp.table.field]]\r\n    name = \"snmp.Synology.ebox.eboxIndex\"\r\n    oid = \"SYNOLOGY-EBOX-MIB::eboxIndex\"\r\n\r\n  [[inputs.snmp.table.field]]\r\n    name = \"snmp.Synology.ebox.eboxModel\"\r\n    oid = \"SYNOLOGY-EBOX-MIB::eboxModel\"\r\n\r\n  [[inputs.snmp.table.field]]\r\n    name = \"snmp.Synology.ebox.eboxPower\"\r\n    oid = \"SYNOLOGY-EBOX-MIB::eboxPower\"\r\n\r\n  [[inputs.snmp.table.field]]\r\n    name = \"snmp.Synology.ebox.eboxRedundantPower\"\r\n    oid = \"SYNOLOGY-EBOX-MIB::eboxRedundantPower\"\r\n\r\n# Flash Cache Information from SYNOLOGY-FLASHCACHE-MIB\r\n[[inputs.snmp.table]]\r\n  name = \"snmp.Synology.flashcache\"\r\n  oid = \"SYNOLOGY-FLASHCACHE-MIB::flashCacheTable\"\r\n\r\n  # Index\r\n  [[inputs.snmp.table.field]]\r\n    name = \"flashCacheIndex\"\r\n    oid = \"SYNOLOGY-FLASHCACHE-MIB::flashCacheIndex\"\r\n\r\n  # SSD Device\r\n  [[inputs.snmp.table.field]]\r\n    name = \"flashCacheSSDDev\"\r\n    oid = \"SYNOLOGY-FLASHCACHE-MIB::flashCacheSSDDev\"\r\n\r\n  # Space Device\r\n  [[inputs.snmp.table.field]]\r\n    name = \"flashCacheSpaceDev\"\r\n    oid = \"SYNOLOGY-FLASHCACHE-MIB::flashCacheSpaceDev\"\r\n\r\n  # Read Hits\r\n  [[inputs.snmp.table.field]]\r\n    name = \"flashCacheReadHits\"\r\n    oid = \"SYNOLOGY-FLASHCACHE-MIB::flashCacheReadHits\"\r\n\r\n  # Write Hits\r\n  [[inputs.snmp.table.field]]\r\n    name = \"flashCacheWriteHits\"\r\n    oid = \"SYNOLOGY-FLASHCACHE-MIB::flashCacheWriteHits\"\r\n\r\n  # Total Read\r\n  [[inputs.snmp.table.field]]\r\n    name = \"flashCacheTotalRead\"\r\n    oid = \"SYNOLOGY-FLASHCACHE-MIB::flashCacheTotalRead\"\r\n\r\n  # Total Write\r\n  [[inputs.snmp.table.field]]\r\n    name = \"flashCacheTotalWrite\"\r\n    oid = \"SYNOLOGY-FLASHCACHE-MIB::flashCacheTotalWrite\"\r\n\r\n  # Read Hit Rate\r\n  [[inputs.snmp.table.field]]\r\n    name = \"flashCacheReadHitRate\"\r\n    oid = \"SYNOLOGY-FLASHCACHE-MIB::flashCacheReadHitRate\"\r\n\r\n  # Write Hit Rate\r\n  [[inputs.snmp.table.field]]\r\n    name = \"flashCacheWriteHitRate\"\r\n    oid = \"SYNOLOGY-FLASHCACHE-MIB::flashCacheWriteHitRate\"\r\n\r\n  # SSD UUID\r\n  [[inputs.snmp.table.field]]\r\n    name = \"flashCacheSsdUuid\"\r\n    oid = \"SYNOLOGY-FLASHCACHE-MIB::flashCacheSsdUuid\"\r\n\r\n# GPU Information from SYNOLOGY-GPUINFO-MIB\r\n[[inputs.snmp.table]]\r\n  name = \"snmp.Synology.gpu\"\r\n\r\n  # GPU Utilization\r\n  [[inputs.snmp.table.field]]\r\n    name = \"gpuUtilization\"\r\n    oid = \"SYNOLOGY-GPUINFO-MIB::gpuUtilization\"\r\n\r\n  # GPU Memory Utilization\r\n  [[inputs.snmp.table.field]]\r\n    name = \"gpuMemoryUtilization\"\r\n    oid = \"SYNOLOGY-GPUINFO-MIB::gpuMemoryUtilization\"\r\n\r\n  # GPU Free Memory\r\n  [[inputs.snmp.table.field]]\r\n    name = \"gpuMemoryFree\"\r\n    oid = \"SYNOLOGY-GPUINFO-MIB::gpuMemoryFree\"\r\n\r\n  # GPU Used Memory\r\n  [[inputs.snmp.table.field]]\r\n    name = \"gpuMemoryUsed\"\r\n    oid = \"SYNOLOGY-GPUINFO-MIB::gpuMemoryUsed\"\r\n\r\n  # GPU Total Memory\r\n  [[inputs.snmp.table.field]]\r\n    name = \"gpuMemoryTotal\"\r\n    oid = \"SYNOLOGY-GPUINFO-MIB::gpuMemoryTotal\"\r\n\r\n# iSCSI LUN Information from SYNOLOGY-ISCSILUN-MIB\r\n[[inputs.snmp.table]]\r\n  name = \"snmp.Synology.iscsilun\"\r\n  oid = \"SYNOLOGY-ISCSILUN-MIB::iSCSILUNTable\"\r\n\r\n  # LUN Index\r\n  [[inputs.snmp.table.field]]\r\n    name = \"iSCSILUNInfoIndex\"\r\n    oid = \"SYNOLOGY-ISCSILUN-MIB::iSCSILUNInfoIndex\"\r\n\r\n  # LUN UUID\r\n  [[inputs.snmp.table.field]]\r\n    name = \"iSCSILUNUUID\"\r\n    oid = \"SYNOLOGY-ISCSILUN-MIB::iSCSILUNUUID\"\r\n\r\n  # LUN Name\r\n  [[inputs.snmp.table.field]]\r\n    name = \"iSCSILUNName\"\r\n    oid = \"SYNOLOGY-ISCSILUN-MIB::iSCSILUNName\"\r\n\r\n  # LUN Read Throughput (High and Low for 64-bit counter)\r\n  [[inputs.snmp.table.field]]\r\n    name = \"iSCSILUNThroughputReadHigh\"\r\n    oid = \"SYNOLOGY-ISCSILUN-MIB::iSCSILUNThroughputReadHigh\"\r\n  [[inputs.snmp.table.field]]\r\n    name = \"iSCSILUNThroughputReadLow\"\r\n    oid = \"SYNOLOGY-ISCSILUN-MIB::iSCSILUNThroughputReadLow\"\r\n\r\n  # LUN Write Throughput (High and Low for 64-bit counter)\r\n  [[inputs.snmp.table.field]]\r\n    name = \"iSCSILUNThroughputWriteHigh\"\r\n    oid = \"SYNOLOGY-ISCSILUN-MIB::iSCSILUNThroughputWriteHigh\"\r\n  [[inputs.snmp.table.field]]\r\n    name = \"iSCSILUNThroughputWriteLow\"\r\n    oid = \"SYNOLOGY-ISCSILUN-MIB::iSCSILUNThroughputWriteLow\"\r\n\r\n  # LUN IOPS for Read and Write\r\n  [[inputs.snmp.table.field]]\r\n    name = \"iSCSILUNIopsRead\"\r\n    oid = \"SYNOLOGY-ISCSILUN-MIB::iSCSILUNIopsRead\"\r\n  [[inputs.snmp.table.field]]\r\n    name = \"iSCSILUNIopsWrite\"\r\n    oid = \"SYNOLOGY-ISCSILUN-MIB::iSCSILUNIopsWrite\"\r\n\r\n# iSCSI Target Information from SYNOLOGY-ISCSITarget-MIB\r\n[[inputs.snmp.table]]\r\n  name = \"snmp.Synology.iscsitarget\"\r\n  oid = \"SYNOLOGY-ISCSITarget-MIB::iSCSITargetTable\"\r\n\r\n  # iSCSI Target Name\r\n  [[inputs.snmp.table.field]]\r\n    name = \"iSCSITargetName\"\r\n    oid = \"SYNOLOGY-ISCSITarget-MIB::iSCSITargetName\"\r\n\r\n  # iSCSI Target IQN\r\n  [[inputs.snmp.table.field]]\r\n    name = \"iSCSITargetIQN\"\r\n    oid = \"SYNOLOGY-ISCSITarget-MIB::iSCSITargetIQN\"\r\n\r\n  # iSCSI Target Connection Status\r\n  [[inputs.snmp.table.field]]\r\n    name = \"iSCSITargetConnectionStatus\"\r\n    oid = \"SYNOLOGY-ISCSITarget-MIB::iSCSITargetConnectionStatus\"\r\n\r\n# Synology Services Monitoring\r\n[[inputs.snmp.table]]\r\n  name = \"snmp.Synology.services\"\r\n  oid = \"SYNOLOGY-SERVICES-MIB::serviceTable\"\r\n\r\n  [[inputs.snmp.table.field]]\r\n    name = \"serviceName\"\r\n    oid = \"SYNOLOGY-SERVICES-MIB::serviceName\"\r\n    is_tag = true\r\n\r\n  [[inputs.snmp.table.field]]\r\n    name = \"serviceUsers\"\r\n    oid = \"SYNOLOGY-SERVICES-MIB::serviceUsers\"\r\n\r\n# Synology High-Availability (SHA) Monitoring\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"ha.activeNodeName\"\r\n    oid = \"SYNOLOGY-SHA-MIB::activeNodeName\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"ha.passiveNodeName\"\r\n    oid = \"SYNOLOGY-SHA-MIB::passiveNodeName\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"ha.clusterAutoFailover\"\r\n    oid = \"SYNOLOGY-SHA-MIB::clusterAutoFailover\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"ha.clusterName\"\r\n    oid = \"SYNOLOGY-SHA-MIB::clusterName\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"ha.clusterStatus\"\r\n    oid = \"SYNOLOGY-SHA-MIB::clusterStatus\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"ha.heartbeatStatus\"\r\n    oid = \"SYNOLOGY-SHA-MIB::heartbeatStatus\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"ha.heartbeatTxRate\"\r\n    oid = \"SYNOLOGY-SHA-MIB::heartbeatTxRate\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"ha.heartbeatLatency\"\r\n    oid = \"SYNOLOGY-SHA-MIB::heartbeatLatency\"```","collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2024-01-02T15:06:06.000Z","updatedAt":"2024-01-03T12:21:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20235"},{"rel":"revisions","href":"/dashboards/20235/revisions"},{"rel":"revision","href":"/dashboards/20235/revisions/1"},{"rel":"download","href":"/dashboards/20235/revisions/1/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/20235/images"},{"rel":"thumbnails","href":"/dashboards/20235/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12480,"status":1,"statusCode":"active","orgId":392406,"orgSlug":"fearthegrackle","orgName":"Evan Ochs","slug":"synology-metrics","downloads":809,"revisionId":17931,"revision":5,"name":"Synology Metrics","description":"InfluxDB dashboards for telegraf metrics","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"influxdb","datasource":"InfluxDB","privacy":"public","createdAt":"2020-06-16T02:47:27.000Z","updatedAt":"2020-06-18T16:57:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/12480"},{"rel":"revisions","href":"/dashboards/12480/revisions"},{"rel":"revision","href":"/dashboards/12480/revisions/5"},{"rel":"download","href":"/dashboards/12480/revisions/5/download"},{"rel":"org","href":"/orgs/fearthegrackle"},{"rel":"images","href":"/dashboards/12480/images"},{"rel":"thumbnails","href":"/dashboards/12480/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14284,"status":1,"statusCode":"active","orgId":485583,"orgSlug":"tumak","orgName":"tumak","slug":"synology-nas-details","downloads":21842,"revisionId":34913,"revision":10,"name":"Synology NAS Details","description":"The Synology NAS Details dashboard provides detailed information as to the operational status of the system(s).","readme":"If you have multiple Synology devices (or even just one) check out the Synology NAS Overview dashboard meant to complement this one.  https://grafana.com/grafana/dashboards/14364\r\n\r\nThis dashboard utilizes Prometheus and the snmp_exporter to gather various statistics from Synology NAS devices. It has been tested on DSM 6.2, DSM 7.0, DSM 7.1 and DSM 7.2 utilizing DS1511+, DS1512+, DS1513+, DS918+, DS920+ and DS923+ hardware.\r\n\r\nRequires: https://github.com/prometheus/snmp_exporter\r\n\r\nUpon the import of the dashboard, you should be prompted for the DataSource.  You should also be asked how many NAS devices you plan to monitor. \r\n\r\nVariables utilizing Regex are used to filter which Network Interfaces, File Systems and Services are displayed. You can enable or disable them from appearing in the dashboard simply by changing the Regex. Another variable named \"interfacebits\" allows you to set whether you want your network graphs to show bits or bytes (Megabytes set to 1, Megabits set to 8.).\r\n\r\nMy snmp.yml files used by me can be found here.\r\nhttps://github.com/tumak66/grafana-prometheus-synology\r\n\r\nIf you have issues with the DSM Version, Serial Number and the Disk in the Hard Drives section not reporting correctly check your snmp.yml file. Make sure that the following are set to use \"type: DisplayString\". Eventhough my generator.yml was configured with overrides they didn't seem to take affect when generating the snmp.yml file (need to investigate more).\r\n\r\nIssue: https://github.com/prometheus/snmp_exporter/issues/650\r\n\r\n(everywhere you see diskID in the snmp.yml needs to be changed)\r\n\r\n- name: serialNumber\r\noid: 1.3.6.1.4.1.6574.1.5.2\r\ntype: DisplayString\r\nhelp: The serial number of this NAS - 1.3.6.1.4.1.6574.1.5.2\r\n- name: version\r\noid: 1.3.6.1.4.1.6574.1.5.3\r\ntype: DisplayString\r\nhelp: The version of this DSM - 1.3.6.1.4.1.6574.1.5.3\r\n- name: diskID\r\noid: 1.3.6.1.4.1.6574.2.1.1.2\r\ntype: DisplayString\r\nhelp: Synology disk ID The ID of disk is assigned by disk Station. - 1.3.6.1.4.1.6574.2.1.1.2\r\nindexes:\r\n- labelname: diskIndex\r\ntype: gauge\r\nlookups:\r\n- labels:\r\n- diskIndex\r\nlabelname: diskID\r\noid: 1.3.6.1.4.1.6574.2.1.1.2\r\ntype: DisplayString\r\n- labels: []\r\nlabelname: diskIndex\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-04-21T17:50:41.000Z","updatedAt":"2024-11-16T19:49:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":9,"reviewsAvgRating":3.78,"links":[{"rel":"self","href":"/dashboards/14284"},{"rel":"revisions","href":"/dashboards/14284/revisions"},{"rel":"revision","href":"/dashboards/14284/revisions/10"},{"rel":"download","href":"/dashboards/14284/revisions/10/download"},{"rel":"org","href":"/orgs/tumak"},{"rel":"images","href":"/dashboards/14284/images"},{"rel":"thumbnails","href":"/dashboards/14284/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23185,"status":1,"statusCode":"active","orgId":1391295,"orgSlug":"kangsg","orgName":"kangsg","slug":"synology-nas-details","downloads":270,"revisionId":36687,"revision":1,"name":"Synology NAS Details","description":"The Synology NAS Details dashboard provides detailed information as to the operational status of the system(s).","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-04T06:24:23.000Z","updatedAt":"2025-04-04T06:26:45.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23185"},{"rel":"revisions","href":"/dashboards/23185/revisions"},{"rel":"revision","href":"/dashboards/23185/revisions/1"},{"rel":"download","href":"/dashboards/23185/revisions/1/download"},{"rel":"org","href":"/orgs/kangsg"},{"rel":"images","href":"/dashboards/23185/images"},{"rel":"thumbnails","href":"/dashboards/23185/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22265,"status":1,"statusCode":"active","orgId":759371,"orgSlug":"robotneo","orgName":"robotneo","slug":"synology-nas-details-dashboard-for-prometheus","downloads":352,"revisionId":34990,"revision":1,"name":"Synology NAS Details Dashboard for Prometheus","description":"群晖NAS详细仪表板","readme":"## 群晖 `NAS` 监控\r\n💻📊🔥✅\r\n监控群晖 `NAS`\r\n\r\n- 整体监控架构基于 Prometheus 体系\r\n- 指标采集器基于 SNMP Exporter\r\n- 仪表板基于 Grafana\r\n\r\n## 监控架构\r\n\r\n![监控架构](https://neoblog01.oss-cn-hangzhou.aliyuncs.com/3.png)\r\n\r\n上图中的架构，采集对象是群晖 `NAS` 采集器使用 SNMP Exporter，基于 vmagent 采集，可以使用的时序库 `Prometheus` 或者 `VictoriaMetrics`，最终使用 `Grafana` 呈现群晖的整体状态。\r\n\r\n## 推荐架构\r\n\r\n![推荐架构](https://neoblog01.oss-cn-hangzhou.aliyuncs.com/2.png)\r\n\r\n我这边建议使用夜莺生态架构，可以满足绝大部分的场景需求，符合大部分企业对可观测性的要求。\r\n\r\n## 该采集如何使用可查看公众号文章\r\n\r\n该仪表板主要采集群晖 `NAS` 指标，实现对群晖 `NAS` 各组件和内部信息的监控和告警，这里主要以 `SNMP` 协议开启采集。\r\n\r\n## SNMP\r\n\r\n以 `SNMP Exporter` 作为采集器，群晖 `NAS` 开启 `SNMP` 服务，这里以 `SNMP v3` 版本为例，需要提前在群晖 NAS 上开启 `SNMP v3`，如下所示：\r\n\r\n![SNMP v3](https://neoblog01.oss-cn-hangzhou.aliyuncs.com/1.jpg)\r\n\r\n## 如何采集\r\n\r\n- 利用我生成好的配置文件\r\n- 修改 `SNMP` 认证模块参数\r\n- 抓取配置配置好\r\n\r\n采集配置文件：[采集配置](https://github.com/robotneo/networkdevice-monitor/blob/main/generator/synology/snmp/snmp_synology_nas.yml)\r\n\r\n修改 `snmp_synology_nas.yml` 文件中的头部认证模块：\r\n\r\n```yaml\r\nauths:\r\n  synology_v3:\r\n    community: public\r\n    security_level: authPriv\r\n    username: monitor\r\n    password: Mrot@2024neo\r\n    auth_protocol: SHA\r\n    priv_protocol: AES\r\n    priv_password: Mrot@2024mei\r\n    version: 3\r\n```\r\n\r\n在群晖NAS中你配置的 `SNMP v3` 版本的参数在配置文件中修改下，修改完成后，可以直接保存即可，把你的配置文件放到 SNMP Exporter 采集配置中，即可实现采集。\r\n\r\n配置抓取任务：\r\n\r\n```yaml\r\nscrape_configs:\r\n  - job_name: \"synology\"\r\n    scrape_interval: 15s\r\n    scrape_timeout: 10s\r\n    file_sd_configs:\r\n      - files:\r\n        - /etc/victoriametrics/vmagent/synology-nas.yml\r\n        # refresh_interval: 2m vmagent 不支持这个参数 prometheus 中可使用这个参数\r\n    relabel_configs:\r\n    - source_labels: [\"__address__\"]\r\n      target_label: __param_target\r\n    - source_labels: [\"__param_target\"]\r\n      target_label: instance\r\n    - target_label: __address__\r\n      replacement: 172.17.40.13:9116\r\n    - source_labels: [\"module\"]\r\n      target_label: __param_module\r\n    - source_labels: [\"auth\"]\r\n      target_label: __param_auth\r\n      \r\n\r\n\r\n# /etc/victoriametrics/vmagent/synology-nas.yml\r\n# Prometheus 通过文件发现机制定义的采集目标\r\n- labels:\r\n    module: synology_common,synology_interface\r\n    auth: synology_v3\r\n    brand: Synology\r\n  targets:\r\n    - 172.17.40.140\r\n```\r\n\r\n## 更多信息\r\n\r\n如果需要了解关于监控的更多信息，还请关注公众号：网络小斐，下面是公众号二维码。\r\n\r\n![公众号](https://neoblog01.oss-cn-hangzhou.aliyuncs.com/qrcode.jpg)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-11-12T03:18:48.000Z","updatedAt":"2024-11-12T09:56:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22265"},{"rel":"revisions","href":"/dashboards/22265/revisions"},{"rel":"revision","href":"/dashboards/22265/revisions/1"},{"rel":"download","href":"/dashboards/22265/revisions/1/download"},{"rel":"org","href":"/orgs/robotneo"},{"rel":"images","href":"/dashboards/22265/images"},{"rel":"thumbnails","href":"/dashboards/22265/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14364,"status":1,"statusCode":"active","orgId":485583,"orgSlug":"tumak","orgName":"tumak","slug":"synology-nas-overview","downloads":2796,"revisionId":35026,"revision":10,"name":"Synology NAS Overview","description":"The Synology NAS Overview dashboard gives an overall glance at multiple Synology NAS systems and their operational status.","readme":"The Synology NAS Overview dashboard was built to give an overall glance at multiple Synology NAS systems and their operational status.  It was built to compliment the Synology NAS Detail dashboard (https://grafana.com/grafana/dashboards/14284).  \r\n\r\nSet the \"NASDevices\" variable to the number of NAS devices you are monitoring in order for the dashboard to properly report the \"Total Synology's\" and \"Synology's Down\".\r\n\r\nThis dashboard utilizes Prometheus and the snmp_exporter to gather various statistics from Synology NAS devices. It has been tested on DSM 6.2, DSM 7.0, DSM 7.1 and DSM 7.2 utilizing DS1511+, DS1512+, DS1513+, DS918+, DS920+ and DS923+ hardware.\r\n\r\nRequires: https://github.com/prometheus/snmp_exporter\r\n\r\nUpon the import of the dashboard, you should be prompted for the DataSource.  You should also be asked how many NAS devices you plan to monitor. \r\n\r\nVariables utilizing Regex are used to filter which Network Interfaces, File Systems and Services are displayed. You can enable or disable them from appearing in the dashboard simply by changing the Regex. Another variable named \"interfacebits\" allows you to set whether you want your network graphs to show bits or bytes (Megebyte set to 1, Megabits set to 8.).\r\n\r\nMy snmp.yml files used by me can be found here.\r\nhttps://github.com/tumak66/grafana-prometheus-synology\r\n\r\nIf you have issues with the DSM Version, Serial Number and the Disk in the Hard Drives section not reporting correctly check your snmp.yml file. Make sure that the following are set to use \"type: DisplayString\". Eventhough my generator.yml was configured with overrides they didn't seem to take affect when generating the snmp.yml file (need to investigate more).\r\n\r\nIssue: https://github.com/prometheus/snmp_exporter/issues/650\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-05-05T21:48:59.000Z","updatedAt":"2024-11-16T19:49:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14364"},{"rel":"revisions","href":"/dashboards/14364/revisions"},{"rel":"revision","href":"/dashboards/14364/revisions/10"},{"rel":"download","href":"/dashboards/14364/revisions/10/download"},{"rel":"org","href":"/orgs/tumak"},{"rel":"images","href":"/dashboards/14364/images"},{"rel":"thumbnails","href":"/dashboards/14364/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22266,"status":1,"statusCode":"active","orgId":759371,"orgSlug":"robotneo","orgName":"robotneo","slug":"synology-nas-overview-dashboard-for-prometheus","downloads":283,"revisionId":34991,"revision":1,"name":"Synology NAS Overview Dashboard for Prometheus","description":"Synology NAS 总览仪表板可让用户快速查看多个 Synology NAS 系统的整体状态及其运行情况。","readme":"## 群晖 `NAS` 监控\r\n💻📊🔥✅\r\n监控群晖 `NAS`\r\n\r\n- 整体监控架构基于 Prometheus 体系\r\n- 指标采集器基于 SNMP Exporter\r\n- 仪表板基于 Grafana\r\n\r\n## 监控架构\r\n\r\n![监控架构](https://neoblog01.oss-cn-hangzhou.aliyuncs.com/3.png)\r\n\r\n上图中的架构，采集对象是群晖 `NAS` 采集器使用 SNMP Exporter，基于 vmagent 采集，可以使用的时序库 `Prometheus` 或者 `VictoriaMetrics`，最终使用 `Grafana` 呈现群晖的整体状态。\r\n\r\n## 推荐架构\r\n\r\n![推荐架构](https://neoblog01.oss-cn-hangzhou.aliyuncs.com/2.png)\r\n\r\n我这边建议使用夜莺生态架构，可以满足绝大部分的场景需求，符合大部分企业对可观测性的要求。\r\n\r\n## 该采集如何使用可查看公众号文章\r\n\r\n该仪表板主要采集群晖 `NAS` 指标，实现对群晖 `NAS` 各组件和内部信息的监控和告警，这里主要以 `SNMP` 协议开启采集。\r\n\r\n## SNMP\r\n\r\n以 `SNMP Exporter` 作为采集器，群晖 `NAS` 开启 `SNMP` 服务，这里以 `SNMP v3` 版本为例，需要提前在群晖 NAS 上开启 `SNMP v3`，如下所示：\r\n\r\n![SNMP v3](https://neoblog01.oss-cn-hangzhou.aliyuncs.com/1.jpg)\r\n\r\n## 如何采集\r\n\r\n- 利用我生成好的配置文件\r\n- 修改 `SNMP` 认证模块参数\r\n- 抓取配置配置好\r\n\r\n采集配置文件：[采集配置](https://github.com/robotneo/networkdevice-monitor/blob/main/generator/synology/snmp/snmp_synology_nas.yml)\r\n\r\n修改 `snmp_synology_nas.yml` 文件中的头部认证模块：\r\n\r\n```yaml\r\nauths:\r\n  synology_v3:\r\n    community: public\r\n    security_level: authPriv\r\n    username: monitor\r\n    password: Mrot@2024neo\r\n    auth_protocol: SHA\r\n    priv_protocol: AES\r\n    priv_password: Mrot@2024mei\r\n    version: 3\r\n```\r\n\r\n在群晖NAS中你配置的 `SNMP v3` 版本的参数在配置文件中修改下，修改完成后，可以直接保存即可，把你的配置文件放到 SNMP Exporter 采集配置中，即可实现采集。\r\n\r\n配置抓取任务：\r\n\r\n```yaml\r\nscrape_configs:\r\n  - job_name: \"synology\"\r\n    scrape_interval: 15s\r\n    scrape_timeout: 10s\r\n    file_sd_configs:\r\n      - files:\r\n        - /etc/victoriametrics/vmagent/synology-nas.yml\r\n        # refresh_interval: 2m vmagent 不支持这个参数 prometheus 中可使用这个参数\r\n    relabel_configs:\r\n    - source_labels: [\"__address__\"]\r\n      target_label: __param_target\r\n    - source_labels: [\"__param_target\"]\r\n      target_label: instance\r\n    - target_label: __address__\r\n      replacement: 172.17.40.13:9116\r\n    - source_labels: [\"module\"]\r\n      target_label: __param_module\r\n    - source_labels: [\"auth\"]\r\n      target_label: __param_auth\r\n      \r\n\r\n\r\n# /etc/victoriametrics/vmagent/synology-nas.yml\r\n# Prometheus 通过文件发现机制定义的采集目标\r\n- labels:\r\n    module: synology_common,synology_interface\r\n    auth: synology_v3\r\n    brand: Synology\r\n  targets:\r\n    - 172.17.40.140\r\n```\r\n\r\n## 更多信息\r\n\r\n如果需要了解关于监控的更多信息，还请关注公众号：网络小斐，下面是公众号二维码。\r\n\r\n![公众号](https://neoblog01.oss-cn-hangzhou.aliyuncs.com/qrcode.jpg)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-11-12T03:42:43.000Z","updatedAt":"2024-11-12T09:58:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22266"},{"rel":"revisions","href":"/dashboards/22266/revisions"},{"rel":"revision","href":"/dashboards/22266/revisions/1"},{"rel":"download","href":"/dashboards/22266/revisions/1/download"},{"rel":"org","href":"/orgs/robotneo"},{"rel":"images","href":"/dashboards/22266/images"},{"rel":"thumbnails","href":"/dashboards/22266/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18643,"status":1,"statusCode":"active","orgId":845099,"orgSlug":"clralab","orgName":"clralab","slug":"synology-snmp","downloads":2560,"revisionId":28578,"revision":1,"name":"Synology SNMP","description":"Dashboard for viewing Synology System Information using Prometheus and SNMP_Exporter","readme":"A simple Synology dashboard that uses SNMP data only.  \r\n\r\nWithout the need for using containers such as Cadvisor or Node_Exporter, this dashboard is able to run on J series Synology NAS devices that cannot run Docker. The example screenshots are of this dashboard viewing statistics on a Synology 220j.\r\n\r\nPlease check out the SNMP_Exporter Github repository below for instructions on how to set up the exporter service in Docker on a server that is on the same network as the NAS. 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The Cluster Shield collects data from the Kubernetes nodes where it is installed, sending it to the Sysdig backend while synchronizing runtime policies and rules.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-06-25T19:58:35.000Z","updatedAt":"2025-06-27T01:02:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23605"},{"rel":"revisions","href":"/dashboards/23605/revisions"},{"rel":"revision","href":"/dashboards/23605/revisions/1"},{"rel":"download","href":"/dashboards/23605/revisions/1/download"},{"rel":"org","href":"/orgs/sysdig"},{"rel":"images","href":"/dashboards/23605/images"},{"rel":"thumbnails","href":"/dashboards/23605/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9975,"status":1,"statusCode":"active","orgId":241888,"orgSlug":"knox","orgName":"knox","slug":"compliance-docker","downloads":339,"revisionId":13929,"revision":1,"name":"Sysdig Secure - Docker CIS Compliance","description":"Get an overview of the metrics from different docker CIS benchmark tests.","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"sysdig","privacy":"public","createdAt":"2019-03-27T18:24:16.000Z","updatedAt":"2019-03-27T18:31:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9975"},{"rel":"revisions","href":"/dashboards/9975/revisions"},{"rel":"revision","href":"/dashboards/9975/revisions/1"},{"rel":"download","href":"/dashboards/9975/revisions/1/download"},{"rel":"org","href":"/orgs/knox"},{"rel":"images","href":"/dashboards/9975/images"},{"rel":"thumbnails","href":"/dashboards/9975/thumbnails"}],"datasourceSlugs":["sysdig"]},{"id":9960,"status":1,"statusCode":"active","orgId":241888,"orgSlug":"knox","orgName":"knox","slug":"sysdig-secure-summary","downloads":332,"revisionId":13910,"revision":1,"name":"Sysdig Secure Summary","description":"An overview of policies, rules, and events related to Sysdig Secure","readme":"Get an overview Sysdig Secure \n\n- See how many agents are installed\n- How many policies are active\n- How many security events Sysdig Secure has detected in your infrastructure\n- Which rules are firing the most often","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"sysdig","privacy":"public","createdAt":"2019-03-22T21:26:17.000Z","updatedAt":"2019-03-22T21:28:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9960"},{"rel":"revisions","href":"/dashboards/9960/revisions"},{"rel":"revision","href":"/dashboards/9960/revisions/1"},{"rel":"download","href":"/dashboards/9960/revisions/1/download"},{"rel":"org","href":"/orgs/knox"},{"rel":"images","href":"/dashboards/9960/images"},{"rel":"thumbnails","href":"/dashboards/9960/thumbnails"}],"datasourceSlugs":["sysdig"]},{"id":15014,"status":1,"statusCode":"active","orgId":465040,"orgSlug":"egmc","orgName":"egmc","slug":"sysload-dashboard","downloads":348,"revisionId":22426,"revision":3,"name":"sysload dashboard","description":"basic dashboard for sysload exporter","readme":"This dashboard is for sysload exporter.\nhttps://github.com/egmc/sysload_exporter\n\n\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-09-15T15:15:35.000Z","updatedAt":"2021-09-15T15:39:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15014"},{"rel":"revisions","href":"/dashboards/15014/revisions"},{"rel":"revision","href":"/dashboards/15014/revisions/3"},{"rel":"download","href":"/dashboards/15014/revisions/3/download"},{"rel":"org","href":"/orgs/egmc"},{"rel":"images","href":"/dashboards/15014/images"},{"rel":"thumbnails","href":"/dashboards/15014/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12433,"status":1,"statusCode":"active","orgId":390799,"orgSlug":"nwmichl","orgName":"NWMichl","slug":"syslog","downloads":3823,"revisionId":20665,"revision":5,"name":"Syslog","description":"Telegraf / InfluxDB / Grafana as syslog receiver","readme":"# Telegraf / InfluxDB / Grafana as syslog receiver\r\n\r\nUPDATE 03/2021: Fixed the hostname variable to filter for different syslog sources\r\n\r\nUPDATE 03/2021: Message query now uses a text box variable instead of ad-hoc query, which stopped working with Grafana 7.x\r\n\r\nUPDATE 09/2020: Rebuilt the dashboard to take advantage of the new table panel possibilities with Grafana 7.x, e.g. dedicated severity colors.\r\n\r\nThe Syslog dashboard shows a statistics graph panel at the top, based on the timeframe chosen. Plus a table view of all messages within this timeframe, including the usual columns like message time, appname, host, severity and message text. You can zoom into specific timeframes (syslog peaks or massive errors) by just marking the area by mouse in the graph panel. The table view adjusts accordingly.\r\n\r\nIt also provides some extra filters based on appname, hostname, severity and message text. \r\n\r\n## How to store classic UDP/514 syslog in InfluxDB via rsyslog\r\n\r\nBecause Telegraf only accepts TCP syslog messages in a certain format (RFC5424), the rsyslog daemon is used to receive classic RFC3164 Syslog messages via UDP port 514 and pipe them to the local Telegraf instance. So the first step is to adapt the rsyslog.conf to our needs:\r\n\r\n    $WorkDirectory /var/spool/rsyslog  \r\n    $ActionQueueType LinkedList  \r\n    $ActionQueueFileName srvrfwd  \r\n    $ActionResumeRetryCount -1  \r\n    $ActionQueueSaveOnShutdown on  \r\n    $ModLoad imudp #loads the udp module  \r\n    $UDPServerAddress localhost \r\n    $UDPServerRun 514 \r\n    *.* @@(o)127.0.0.1:6514;RSYSLOG_SyslogProtocol23Format\r\n\r\nIf you would like to filter between local and external syslog messages, there is the possibility of very sophisticated rulesets, for example:\r\n\r\n    :hostname, contains, \"grafanapi\"\r\n    *.notice @@(o)127.0.0.1:6514;RSYSLOG_SyslogProtocol23Format\r\n    :hostname, !contains, \"grafanapi\"\r\n    *.* @@(o)127.0.0.1:6514;RSYSLOG_SyslogProtocol23Format\r\n\r\nLocal logging messages are only forwarded when the severity level is equal or greater then notice. External Syslog messages (hostname != grafanapi) will be forwarded to Telegraf regardless of the severity level.\r\n\r\nVisit my blog post over at [NWMichl Blog](https://nwmichl.net/2020/03/15/telegraf-influxdb-grafana-as-syslog-receiver/ \"https://nwmichl.net/2020/03/15/telegraf-influxdb-grafana-as-syslog-receiver/\") for full documentation and a syslog-ng alternative.","collectorType":"Telegraf","collectorConfig":"    [[inputs.syslog]]\r\n      server = \"tcp://localhost:6514\"\r\n   \r\n    [[outputs.influxdb]]\r\n      database = \"telegraf\"\r\n      username = \"<username>\"\r\n      password = \"<password>\"","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2020-06-09T19:44:13.000Z","updatedAt":"2021-03-18T18:47:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":6,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/12433"},{"rel":"revisions","href":"/dashboards/12433/revisions"},{"rel":"revision","href":"/dashboards/12433/revisions/5"},{"rel":"download","href":"/dashboards/12433/revisions/5/download"},{"rel":"org","href":"/orgs/nwmichl"},{"rel":"images","href":"/dashboards/12433/images"},{"rel":"thumbnails","href":"/dashboards/12433/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15644,"status":1,"statusCode":"active","orgId":389880,"orgSlug":"simon1910","orgName":"Simon","slug":"syslog","downloads":532,"revisionId":23615,"revision":1,"name":"Syslog","description":"Syslog-Empfänger mit rsyslog, telegraf und influxdb","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-01-28T20:50:43.000Z","updatedAt":"2022-01-28T20:53:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15644"},{"rel":"revisions","href":"/dashboards/15644/revisions"},{"rel":"revision","href":"/dashboards/15644/revisions/1"},{"rel":"download","href":"/dashboards/15644/revisions/1/download"},{"rel":"org","href":"/orgs/simon1910"},{"rel":"images","href":"/dashboards/15644/images"},{"rel":"thumbnails","href":"/dashboards/15644/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16061,"status":1,"statusCode":"active","orgId":626646,"orgSlug":"shiftsystems","orgName":"shiftsystems","slug":"syslog","downloads":908,"revisionId":27906,"revision":3,"name":"syslog","description":"","readme":"This dashboard displays the number of logs that loki is collecting from all hosts and is a part of the ShiftMon project. as well as provides a way to view logs from a given host and app. \r\n\r\nhttps://gitlab.com/shiftsystems/shift-rmm","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.syslog]]\r\n  server = \"udp://:6514\"\r\n[[ outputs.loki]]\r\n  domain = \"$loki_url\"\r\n  username = \"$loki_user\"\r\n  password = \"$loki_password\"\r\n  namepass = [\"tail*\",\"exec*\",\"x509_cert\",\"syslog\"]\r\n\r\n```","collectorPluginList":null,"datasource":"Loki","privacy":"public","createdAt":"2022-04-06T04:22:33.000Z","updatedAt":"2023-02-25T14:07:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16061"},{"rel":"revisions","href":"/dashboards/16061/revisions"},{"rel":"revision","href":"/dashboards/16061/revisions/3"},{"rel":"download","href":"/dashboards/16061/revisions/3/download"},{"rel":"org","href":"/orgs/shiftsystems"},{"rel":"images","href":"/dashboards/16061/images"},{"rel":"thumbnails","href":"/dashboards/16061/thumbnails"}],"datasourceSlugs":["loki"]},{"id":16327,"status":1,"statusCode":"active","orgId":653333,"orgSlug":"ghomebrewski","orgName":"ghomebrewski","slug":"syslog","downloads":418,"revisionId":24862,"revision":1,"name":"Syslog","description":"Telegraf / InfluxDB / Grafana as syslog receiver","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-05-26T04:14:37.000Z","updatedAt":"2022-05-26T04:14:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16327"},{"rel":"revisions","href":"/dashboards/16327/revisions"},{"rel":"revision","href":"/dashboards/16327/revisions/1"},{"rel":"download","href":"/dashboards/16327/revisions/1/download"},{"rel":"org","href":"/orgs/ghomebrewski"},{"rel":"images","href":"/dashboards/16327/images"},{"rel":"thumbnails","href":"/dashboards/16327/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18679,"status":1,"statusCode":"active","orgId":837992,"orgSlug":"aamkun","orgName":"aamkun","slug":"syslog","downloads":460,"revisionId":32009,"revision":2,"name":"Syslog","description":"Syslog receiver using Telegraf, InfluxDB 2.x & Grafana","readme":"# Features:\r\n- Search String\r\n- Filter by app\r\n- Filter by host\r\n- Filter by Database/bucket\r\n\r\n# For Docker setup:\r\n\r\nhttps://github.com/AAm-kun/Grafana-Influxdb_2.x-Syslog-server\r\n\r\n# Workflow:\r\n\r\nNetwork/Compute Devices Syslog -> syslog-ng (UDP port 514) -> telegraf (tcp port 6514) -> influxdb2.x (tcp port 8086) <- Grafana (port 3000)","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-05-05T16:54:06.000Z","updatedAt":"2024-03-15T09:36:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18679"},{"rel":"revisions","href":"/dashboards/18679/revisions"},{"rel":"revision","href":"/dashboards/18679/revisions/2"},{"rel":"download","href":"/dashboards/18679/revisions/2/download"},{"rel":"org","href":"/orgs/aamkun"},{"rel":"images","href":"/dashboards/18679/images"},{"rel":"thumbnails","href":"/dashboards/18679/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23083,"status":1,"statusCode":"active","orgId":902271,"orgSlug":"dmusil","orgName":"dmusil","slug":"syslog","downloads":246,"revisionId":36459,"revision":1,"name":"Syslog","description":"Telegraf / InfluxDB / Grafana as syslog receiver","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-03-13T16:07:41.000Z","updatedAt":"2025-03-13T16:08:23.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23083"},{"rel":"revisions","href":"/dashboards/23083/revisions"},{"rel":"revision","href":"/dashboards/23083/revisions/1"},{"rel":"download","href":"/dashboards/23083/revisions/1/download"},{"rel":"org","href":"/orgs/dmusil"},{"rel":"images","href":"/dashboards/23083/images"},{"rel":"thumbnails","href":"/dashboards/23083/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10470,"status":1,"statusCode":"active","orgId":260644,"orgSlug":"aakanitt","orgName":"aakanitt","slug":"sysops-cluster-monitoring","downloads":368,"revisionId":14621,"revision":1,"name":"SysOps Cluster Monitoring","description":"มีอะไร ก็ใส่มันลงไป  ถถถถ.","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-07-01T11:14:32.000Z","updatedAt":"2019-07-01T11:31:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10470"},{"rel":"revisions","href":"/dashboards/10470/revisions"},{"rel":"revision","href":"/dashboards/10470/revisions/1"},{"rel":"download","href":"/dashboards/10470/revisions/1/download"},{"rel":"org","href":"/orgs/aakanitt"},{"rel":"images","href":"/dashboards/10470/images"},{"rel":"thumbnails","href":"/dashboards/10470/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3967,"status":1,"statusCode":"active","orgId":105364,"orgSlug":"gigi206","orgName":"Ghislain LE MEUR","slug":"system","downloads":2017,"revisionId":6349,"revision":4,"name":"System","description":"By Ghislain LE MEUR","readme":"","collectorType":"Telegraf","collectorConfig":"```\r\n[global_tags]\r\n[agent]\r\n  interval = \"15s\"\r\n  round_interval = true\r\n  metric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"15s\"\r\n  flush_jitter = \"0s\"\r\n  precision = \"\"\r\n  debug = false\r\n  quiet = false\r\n  logfile = \"\"\r\n  hostname = \"\"\r\n  omit_hostname = false\r\n[[outputs.influxdb]]\r\n  retention_policy = \"\"\r\n  write_consistency = \"any\"\r\n  timeout = \"5s\"\r\n  username = \"my login\"\r\n  password = \"my password\"\r\n[[inputs.cpu]]\r\n  percpu = true\r\n  totalcpu = true\r\n  collect_cpu_time = false\r\n  report_active = false\r\n[[inputs.disk]]\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\"]\r\n[[inputs.diskio]]\r\n[[inputs.kernel]]\r\n[[inputs.mem]]\r\n[[inputs.processes]]\r\n[[inputs.swap]]\r\n[[inputs.system]]\r\n[[inputs.net]]\r\n[[inputs.netstat]]\r\n [[inputs.sysstat]]\r\n   activities = [\"DISK\"]\r\n   [inputs.sysstat.options]\r\n     -C = \"cpu\"\r\n     -B = \"paging\"\r\n     -b = \"io\"\r\n     \"-n ALL\" = \"network\"\r\n     \"-P ALL\" = \"per_cpu\"\r\n     -q = \"queue\"\r\n     -r = \"mem_util\"\r\n     -S = \"swap_util\"\r\n     -u = \"cpu_util\"\r\n     -v = \"inode\"\r\n     -W = \"swap\"\r\n     -w = \"task\"\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-12-10T22:03:36.000Z","updatedAt":"2018-02-19T21:05:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3967"},{"rel":"revisions","href":"/dashboards/3967/revisions"},{"rel":"revision","href":"/dashboards/3967/revisions/4"},{"rel":"download","href":"/dashboards/3967/revisions/4/download"},{"rel":"org","href":"/orgs/gigi206"},{"rel":"images","href":"/dashboards/3967/images"},{"rel":"thumbnails","href":"/dashboards/3967/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15936,"status":1,"statusCode":"active","orgId":616570,"orgSlug":"skyadmin","orgName":"skyadmin","slug":"system","downloads":2666,"revisionId":24154,"revision":1,"name":"System","description":"sys","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-03-16T16:45:35.000Z","updatedAt":"2022-03-16T16:45:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15936"},{"rel":"revisions","href":"/dashboards/15936/revisions"},{"rel":"revision","href":"/dashboards/15936/revisions/1"},{"rel":"download","href":"/dashboards/15936/revisions/1/download"},{"rel":"org","href":"/orgs/skyadmin"},{"rel":"images","href":"/dashboards/15936/images"},{"rel":"thumbnails","href":"/dashboards/15936/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11496,"status":1,"statusCode":"active","orgId":331660,"orgSlug":"mateussouzaweb","orgName":"mateussouzaweb","slug":"system","downloads":426,"revisionId":17105,"revision":4,"name":"System","description":"by MateusSouzaWeb","readme":"","collectorType":"Telegraf","collectorConfig":"```conf\n##############\n## TELEGRAF ##\n##############\n[global_tags]\n\n[agent]\n  interval = \"10s\"\n  round_interval = true\n  metric_batch_size = 1000\n  metric_buffer_limit = 10000\n  collection_jitter = \"0s\"\n  flush_interval = \"10s\"\n  flush_jitter = \"0s\"\n  precision = \"\"\n  hostname = \"\"\n  omit_hostname = false\n\n\n#############\n## OUTPUTS ##\n#############\n[[outputs.influxdb]]\n  urls = [\"http://127.0.0.1:8086\"]\n  database = \"telegraf\"\n  username = \"telegraf\"\n  password = \"telegraf\"\n\n############\n## INPUTS ##\n############\n[[inputs.cpu]]\n  percpu = true\n  totalcpu = true\n  collect_cpu_time = false\n  report_active = false\n\n[[inputs.disk]]\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\n\n[[inputs.diskio]]\n\n[[inputs.kernel]]\n\n[[inputs.interrupts]]\n\n[[inputs.linux_sysctl_fs]]\n\n[[inputs.mem]]\n\n[[inputs.processes]]\n\n[[inputs.swap]]\n\n[[inputs.system]]\n\n[[inputs.net]]\n\n[[inputs.netstat]]\n\n[[inputs.nstat]]\n\n[[inputs.conntrack]]\n\n# [[inputs.sysstat]]\n#   sadc_path = \"/usr/lib/sa/sadc\"\n#   activities = [\"DISK\"]\n#   group = true\n#   [inputs.sysstat.options]\n#     -C = \"cpu\"\n#     -B = \"paging\"\n#     -b = \"io\"\n#     -d = \"disk\"\n#     -H = \"hugepages\"\n#     \"-I ALL\" = \"interrupts\"\n#     \"-n ALL\" = \"network\"\n#     \"-P ALL\" = \"per_cpu\"\n#     -q = \"queue\"\n#     \"-r ALL\" = \"mem_util\"\n#     -S = \"swap_util\"\n#     -u = \"cpu_util\"\n#     -v = \"inode\"\n#     -W = \"swap\"\n#     -w = \"task\"\n#   [[inputs.sysstat.device_tags.sda]]\n#     vg = \"rootvg\"\n\n# [[inputs.syslog]]\n#   server = \"tcp://:6514\"\n#   best_effort = true\n#   framing = \"non-transparent\"\n\n[[inputs.docker]]\n  endpoint = \"unix:///var/run/docker.sock\"\n\n[[inputs.docker_log]]\n  endpoint = \"unix:///var/run/docker.sock\"\n  source_tag = true\n\n[[inputs.influxdb]]\n  urls = [\"http://127.0.0.1:8086/debug/vars\"]\n  username = \"telegraf\"\n  password = \"telegraf\"\n\n[[inputs.mongodb]]\n    servers = [\"mongodb://root:root@127.0.0.1:27017\"]\n\n[[inputs.mysql]]\n    servers = [\"root:root@tcp(127.0.0.1:3306)/?tls=false\"]\n    metric_version = 2\n\n[[inputs.nginx]]\n  urls = [\"http://127.0.0.1/_status\"]\n\n[[inputs.phpfpm]]\n  urls = [\"/run/php/php7.3-fpm.sock:_status\"]\n\n[[inputs.tail]]\n  files = [\"/var/log/nginx/access.log\"]\n  from_beginning = false\n  pipe = false\n  name_override = \"nginx_access_log\"\n  data_format = \"json\"\n  json_time_key = \"time\"\n  json_time_format = \"2006-01-02T15:04:05Z07:00\"\n  tag_keys = [\"host\", \"server_port\", \"request_method\", \"status\", \"upstream_status\"]\n  json_string_fields = [\"remote_addr\", \"remote_user\", \"server_protocol\", \"server_name\", \"request_host\", \"request_uri\", \"http_referer\", \"http_user_agent\", \"http_x_forwarded_for\", \"upstream_addr\", \"upstream_cache_status\", \"request_length\", \"request_time\", \"bytes_sent\", \"body_bytes_sent\", \"upstream_connect_time\", \"upstream_header_time\", \"upstream_response_time\", \"upstream_response_length\"]\n\n[[inputs.tail]]\n  files = [\"/var/log/php/fpm/access.log\"]\n  from_beginning = false\n  pipe = false\n  name_override = \"phpfpm_access_log\"\n  data_format = \"json\"\n  json_time_key = \"time\"\n  json_time_format = \"2006-01-02T15:04:05-0700\"\n  tag_keys = [\"host\", \"server_port\", \"request_method\", \"status\", \"pool\"]\n  json_string_fields = [\"remote_addr\", \"remote_user\", \"server_protocol\", \"server_name\", \"request_method\", \"request_host\", \"request_uri\", \"http_referrer\", \"http_user_agent\", \"http_x_forwarded_for\", \"request_time\", \"body_bytes_sent\", \"cpu\", \"memory\", \"pid\", \"cid\"]\n\n[[processors.converter]]\n  namepass = [\"nginx_access_log\"]\n  [processors.converter.fields]\n    float = [\"request_length\", \"request_time\", \"bytes_sent\", \"body_bytes_sent\", \"upstream_connect_time\", \"upstream_header_time\", \"upstream_response_time\", \"upstream_response_length\"]\n\n[[processors.converter]]\n  namepass = [\"phpfpm_access_log\"]\n  [processors.converter.fields]\n    float = [\"request_time\", \"body_bytes_sent\", \"cpu\", \"memory\", \"pid\", \"cid\"]\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-01-02T22:55:50.000Z","updatedAt":"2020-04-02T21:26:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11496"},{"rel":"revisions","href":"/dashboards/11496/revisions"},{"rel":"revision","href":"/dashboards/11496/revisions/4"},{"rel":"download","href":"/dashboards/11496/revisions/4/download"},{"rel":"org","href":"/orgs/mateussouzaweb"},{"rel":"images","href":"/dashboards/11496/images"},{"rel":"thumbnails","href":"/dashboards/11496/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12643,"status":1,"statusCode":"active","orgId":225578,"orgSlug":"sobaka","orgName":"sobaka","slug":"system","downloads":467,"revisionId":18180,"revision":1,"name":"System","description":"Dashboard uptime, users, memory, loadavg, cpu, entropy, contextswitch, processes and swap","readme":"System Dashboard host or guest mashine.\r\n* Require grafana > 7.0\r\n* grafana->graphite->collectd","collectorType":"collectd","collectorConfig":"```FQDNLookup false\r\n\r\nInterval 60\r\nLoadPlugin write_graphite\r\n<Plugin write_graphite>\r\n\t<Node \"carbon-cache-node\">\r\n\t\tHost \"carbon-cache-host\"\r\n\t\tPort \"carbon-cache-port\"\r\n\t\tProtocol \"tcp\"\r\n\t\tLogSendErrors true\r\n\t\tPrefix \"your-prefix\"\r\n\t\tPostfix \"\"\r\n\t\tStoreRates false\r\n\t\tAlwaysAppendDS false\r\n\t\tEscapeCharacter \"_\"\r\n\t</Node>\r\n</Plugin>\r\n\r\nLoadPlugin contextswitch\r\nLoadPlugin cpu\r\n<Plugin cpu>\r\n\tReportByCpu false\r\n\tValuesPercentage true\r\n\tReportNumCpu true\r\n</Plugin>\r\nLoadPlugin entropy\r\nLoadPlugin load\r\nLoadPlugin memory\r\n<Plugin memory>\r\n\tValuesPercentage true\r\n</Plugin>\r\nLoadPlugin processes\r\nLoadPlugin swap\r\n<Plugin swap>\r\n       ReportByDevice false\r\n       ReportBytes true\r\n</Plugin>\r\nLoadPlugin uptime\r\nLoadPlugin users\r\n```","collectorPluginList":"ContextSwitch plugin, CPU plugin, Entropy plugin, Load plugin, Memory plugin, Processes plugin, Swap plugin, Uptime plugin, Users plugin, Write Graphite plugin","datasource":"Graphite","privacy":"public","createdAt":"2020-07-14T12:07:04.000Z","updatedAt":"2020-07-14T12:14:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12643"},{"rel":"revisions","href":"/dashboards/12643/revisions"},{"rel":"revision","href":"/dashboards/12643/revisions/1"},{"rel":"download","href":"/dashboards/12643/revisions/1/download"},{"rel":"org","href":"/orgs/sobaka"},{"rel":"images","href":"/dashboards/12643/images"},{"rel":"thumbnails","href":"/dashboards/12643/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":10318,"status":1,"statusCode":"active","orgId":255249,"orgSlug":"mantis","orgName":"Mantis PayTM","slug":"system-dashboard","downloads":363,"revisionId":14432,"revision":1,"name":"System","description":"InfluxDB dashboards for telegraf metrics","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-06-10T09:59:24.000Z","updatedAt":"2019-06-10T10:00:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10318"},{"rel":"revisions","href":"/dashboards/10318/revisions"},{"rel":"revision","href":"/dashboards/10318/revisions/1"},{"rel":"download","href":"/dashboards/10318/revisions/1/download"},{"rel":"org","href":"/orgs/mantis"},{"rel":"images","href":"/dashboards/10318/images"},{"rel":"thumbnails","href":"/dashboards/10318/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11492,"status":1,"statusCode":"active","orgId":331571,"orgSlug":"proguillaumeleroy","orgName":"proguillaumeleroy","slug":"system","downloads":333,"revisionId":16201,"revision":1,"name":"System","description":"System monitoring","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-01-02T17:03:28.000Z","updatedAt":"2020-01-02T17:17:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11492"},{"rel":"revisions","href":"/dashboards/11492/revisions"},{"rel":"revision","href":"/dashboards/11492/revisions/1"},{"rel":"download","href":"/dashboards/11492/revisions/1/download"},{"rel":"org","href":"/orgs/proguillaumeleroy"},{"rel":"images","href":"/dashboards/11492/images"},{"rel":"thumbnails","href":"/dashboards/11492/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10103,"status":1,"statusCode":"active","orgId":246352,"orgSlug":"kkaushal7","orgName":"kkaushal7","slug":"system-second","downloads":309,"revisionId":14129,"revision":1,"name":"System","description":"InfluxDB dashboards for telegraf metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-04-26T05:37:08.000Z","updatedAt":"2019-04-26T05:37:49.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10103"},{"rel":"revisions","href":"/dashboards/10103/revisions"},{"rel":"revision","href":"/dashboards/10103/revisions/1"},{"rel":"download","href":"/dashboards/10103/revisions/1/download"},{"rel":"org","href":"/orgs/kkaushal7"},{"rel":"images","href":"/dashboards/10103/images"},{"rel":"thumbnails","href":"/dashboards/10103/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12354,"status":1,"statusCode":"active","orgId":385800,"orgSlug":"scipionfacilities","orgName":"scipionfacilities","slug":"system","downloads":285,"revisionId":17677,"revision":1,"name":"System","description":"Show a summary of System related information in a Scipion project","readme":"DashBoard used for visualizing scipion (scipion.i2pc.es) CTF activity. See https://scipion-em.github.io/docs/release-3.0.0/docs/facilities/customize-report for details.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-05-24T11:45:25.000Z","updatedAt":"2020-05-24T11:48:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12354"},{"rel":"revisions","href":"/dashboards/12354/revisions"},{"rel":"revision","href":"/dashboards/12354/revisions/1"},{"rel":"download","href":"/dashboards/12354/revisions/1/download"},{"rel":"org","href":"/orgs/scipionfacilities"},{"rel":"images","href":"/dashboards/12354/images"},{"rel":"thumbnails","href":"/dashboards/12354/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16664,"status":1,"statusCode":"active","orgId":32004,"orgSlug":"modulec","orgName":"Toic.org","slug":"system-general","downloads":475,"revisionId":25491,"revision":1,"name":"System / General","description":"System general overview","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"prometheus, system","datasource":"Prometheus","privacy":"public","createdAt":"2022-07-29T20:55:24.000Z","updatedAt":"2022-07-29T21:03:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16664"},{"rel":"revisions","href":"/dashboards/16664/revisions"},{"rel":"revision","href":"/dashboards/16664/revisions/1"},{"rel":"download","href":"/dashboards/16664/revisions/1/download"},{"rel":"org","href":"/orgs/modulec"},{"rel":"images","href":"/dashboards/16664/images"},{"rel":"thumbnails","href":"/dashboards/16664/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11873,"status":1,"statusCode":"active","orgId":331660,"orgSlug":"mateussouzaweb","orgName":"mateussouzaweb","slug":"system-alerts","downloads":539,"revisionId":17106,"revision":2,"name":"System Alerts","description":"by MateusSouzaWeb","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-03-09T13:21:54.000Z","updatedAt":"2020-04-02T21:26:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11873"},{"rel":"revisions","href":"/dashboards/11873/revisions"},{"rel":"revision","href":"/dashboards/11873/revisions/2"},{"rel":"download","href":"/dashboards/11873/revisions/2/download"},{"rel":"org","href":"/orgs/mateussouzaweb"},{"rel":"images","href":"/dashboards/11873/images"},{"rel":"thumbnails","href":"/dashboards/11873/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22535,"status":1,"statusCode":"active","orgId":101909,"orgSlug":"oriolrius","orgName":"Oriol Rius","slug":"system-and-containers-monitoring","downloads":554,"revisionId":35447,"revision":1,"name":"System and Containers Monitoring and Logs","description":"Powerful dashboard for metrics and logs. (Grafana Mimir + Grafana Loki)","readme":"Grafana Alloy feeds Grafana Mimir and Grafana Loki, for monitoring our systems and this dashboards is ideal for overviewing the healthy.\r\n\r\nMetrics and Logs from containers and system are exported and visualized in this dashboard.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2024-12-17T11:29:14.000Z","updatedAt":"2024-12-17T13:27:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22535"},{"rel":"revisions","href":"/dashboards/22535/revisions"},{"rel":"revision","href":"/dashboards/22535/revisions/1"},{"rel":"download","href":"/dashboards/22535/revisions/1/download"},{"rel":"org","href":"/orgs/oriolrius"},{"rel":"images","href":"/dashboards/22535/images"},{"rel":"thumbnails","href":"/dashboards/22535/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":6803,"status":1,"statusCode":"active","orgId":165014,"orgSlug":"fishcc","orgName":"fishcc","slug":"system-and-docker-stats","downloads":1197,"revisionId":9328,"revision":2,"name":"System and Docker Stats","description":"System And Docker Monitoring Template","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-05T05:11:01.000Z","updatedAt":"2018-07-06T05:16:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6803"},{"rel":"revisions","href":"/dashboards/6803/revisions"},{"rel":"revision","href":"/dashboards/6803/revisions/2"},{"rel":"download","href":"/dashboards/6803/revisions/2/download"},{"rel":"org","href":"/orgs/fishcc"},{"rel":"images","href":"/dashboards/6803/images"},{"rel":"thumbnails","href":"/dashboards/6803/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9717,"status":1,"statusCode":"active","orgId":231597,"orgSlug":"felipemfp","orgName":"Felipe Pontes","slug":"system-and-docker-stats","downloads":391,"revisionId":13520,"revision":1,"name":"System and Docker Stats","description":"System And Docker Monitoring Template","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-01-28T14:57:00.000Z","updatedAt":"2019-01-28T14:57:17.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9717"},{"rel":"revisions","href":"/dashboards/9717/revisions"},{"rel":"revision","href":"/dashboards/9717/revisions/1"},{"rel":"download","href":"/dashboards/9717/revisions/1/download"},{"rel":"org","href":"/orgs/felipemfp"},{"rel":"images","href":"/dashboards/9717/images"},{"rel":"thumbnails","href":"/dashboards/9717/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15537,"status":1,"statusCode":"active","orgId":228431,"orgSlug":"alexakulov","orgName":"alexakulov","slug":"system-common","downloads":313,"revisionId":23446,"revision":1,"name":"System Common","description":"System Common","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-01-13T10:49:10.000Z","updatedAt":"2022-01-13T19:34:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15537"},{"rel":"revisions","href":"/dashboards/15537/revisions"},{"rel":"revision","href":"/dashboards/15537/revisions/1"},{"rel":"download","href":"/dashboards/15537/revisions/1/download"},{"rel":"org","href":"/orgs/alexakulov"},{"rel":"images","href":"/dashboards/15537/images"},{"rel":"thumbnails","href":"/dashboards/15537/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12183,"status":1,"statusCode":"active","orgId":374367,"orgSlug":"d10n","orgName":"d10n","slug":"system-dashboard-telegraf-netdata","downloads":549,"revisionId":17344,"revision":1,"name":"System Dashboard (Telegraf + Netdata)","description":"InfluxDB dashboards for telegraf metrics + netdata Pressure Stall Information","readme":"## System Dashboard: Telegraf + Netdata\r\n\r\nBased on <https://grafana.com/grafana/dashboards/928>, with tweaks.\r\n\r\nThe first page is a condensed system summary, including:\r\n* CPU usage by core in single graph\r\n* Memory usage (using the `Committed_AS` and `Available` values, which are more useful for overviews)\r\n* Disk I/O for all disks in a single graph\r\n* Network usage\r\n* Linux Pressure Stall Information (PSI), collected by Netdata\r\n\r\nTweaks to the original dashboard:\r\n* Display gaps for missing data in graphs: <https://github.com/influxdata/influxdb/issues/7185#issuecomment-349024751>\r\n* Use `$__interval` instead of the deprecated `$interval`\r\n* Avoid `NON_NEGATIVE_DERIVATIVE()` where not needed\r\n* Singlestat panels that show guages are migrated to Guage panels\r\n\r\nThe influxdb datasource variables `$telegraf` and `$netdata` are hidden by default. To change them after importing the dashboard, open the dashboard settings, go to the variables section, click on the variable, change the \"hide\" selection box to the empty value, and click update. When you return to the dashboard, the variable will be modifiable at the top of the dashboard next to the other variables.","collectorType":"Telegraf","collectorConfig":"### `/etc/telegraf/telegraf.conf` configuration\r\n\r\nUpdate the default telegraf.conf file to uncomment the following collector sections and properties\r\n\r\n```toml\r\n[agent]\r\n  # Update the Grafana internal metrics query interval to match the interval value\r\n  interval = \"10s\"\r\n[[outputs.influxdb]]\r\n  # Configure to connect to influxdb\r\n[[inputs.cpu]]\r\n  percpu = true\r\n  totalcpu = true\r\n  collect_cpu_time = false # Optional\r\n  report_active = false\r\n[[inputs.disk]]\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\r\n[[inputs.diskio]]\r\n  skip_serial_number = false # Optional\r\n[[inputs.kernel]]\r\n  # no configuration\r\n[[inputs.mem]]\r\n  # no configuration\r\n[[inputs.processes]]\r\n  # no configuration\r\n[[inputs.swap]]\r\n  # no configuration\r\n[[inputs.system]]\r\n  # no configuration\r\n[[inputs.conntrack]]\r\n  # default configuration\r\n[[inputs.docker]]\r\n  # default configuration\r\n[[inputs.internal]]\r\n  # default configuration\r\n[[inputs.interrupts]]\r\n  cpu_as_tag = true # Optional\r\n[[inputs.kernel_vmstat]]\r\n  # no configuration\r\n[[inputs.linux_sysctl_fs]]\r\n  # no configuration\r\n[[inputs.net]]\r\n  # default configuration\r\n[[inputs.netstat]]\r\n  # no configuration\r\n[[inputs.nstat]]\r\n  # default configuration\r\n[[inputs.systemd_units]]\r\n  # default configuration\r\n```\r\n\r\n### `/etc/influxdb/influxdb.conf` configuration\r\n\r\nUpdate the default influxdb.conf file to uncomment the opentsdb section and configure its properties\r\n\r\n```toml\r\n[[opentsdb]]\r\n  enabled = true\r\n  bind-address = \"localhost:4242\"\r\n  database = \"opentsdb\"\r\n```\r\n\r\n### `/etc/netdata/netdata.conf` configuration\r\n\r\nAdd and configure the backend section to the default netdata.conf file to write to influxdb\r\n\r\n```ini\r\n[backend]\r\n    enabled = yes\r\n    type = opentsdb\r\n    destination = localhost:4242","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-04-26T16:11:45.000Z","updatedAt":"2020-04-26T16:44:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12183"},{"rel":"revisions","href":"/dashboards/12183/revisions"},{"rel":"revision","href":"/dashboards/12183/revisions/1"},{"rel":"download","href":"/dashboards/12183/revisions/1/download"},{"rel":"org","href":"/orgs/d10n"},{"rel":"images","href":"/dashboards/12183/images"},{"rel":"thumbnails","href":"/dashboards/12183/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18978,"status":1,"statusCode":"active","orgId":878574,"orgSlug":"ba1043582210","orgName":"ba1043582210","slug":"system-dashboard-v0-4-0","downloads":316,"revisionId":29092,"revision":1,"name":"System dashboard v0.4.0","description":"display all machines base information to one dashboard, include cpu/ memory / network io / disk info","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-06-14T08:47:11.000Z","updatedAt":"2023-06-14T08:50:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18978"},{"rel":"revisions","href":"/dashboards/18978/revisions"},{"rel":"revision","href":"/dashboards/18978/revisions/1"},{"rel":"download","href":"/dashboards/18978/revisions/1/download"},{"rel":"org","href":"/orgs/ba1043582210"},{"rel":"images","href":"/dashboards/18978/images"},{"rel":"thumbnails","href":"/dashboards/18978/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13696,"status":1,"statusCode":"active","orgId":218248,"orgSlug":"capellasupport","orgName":"capellasupport","slug":"system-info-dashboard","downloads":337,"revisionId":19992,"revision":1,"name":"System Info Dashboard (for Capella applications)","description":"Shows various system information metrics.  Based on dashboard 13466 by vasilgerman, with some additions for Capella Cambria applications.","readme":"Shows data collected by Windows System Exporter (using windows_exporter.exe 0.15.0).   Based on dashboard 13466 by vasilgerman, with some additions for to show service and sub-processes of Capella Cambria applications.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-08T22:12:37.000Z","updatedAt":"2021-01-08T22:23:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13696"},{"rel":"revisions","href":"/dashboards/13696/revisions"},{"rel":"revision","href":"/dashboards/13696/revisions/1"},{"rel":"download","href":"/dashboards/13696/revisions/1/download"},{"rel":"org","href":"/orgs/capellasupport"},{"rel":"images","href":"/dashboards/13696/images"},{"rel":"thumbnails","href":"/dashboards/13696/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12484,"status":1,"statusCode":"active","orgId":383613,"orgSlug":"opstreedevops","orgName":"opstreedevops","slug":"system-informationn","downloads":718,"revisionId":23030,"revision":4,"name":"System Informationn","description":"System Information Dashboard provides information about the node","readme":"\r\n# Telegraf Input Plugins\r\nFollowing are the basic telegraf Configuration can be use.\r\n```\r\n[global_tags]\r\n\r\n\r\n# Configuration for telegraf agent\r\n[agent]\r\n    interval = \"10s\"\r\n    debug = false\r\n    hostname = \"theone.us-central1-a.c.theone-277307.internal\"\r\n    round_interval = true\r\n    flush_interval = \"10s\"\r\n    flush_jitter = \"0s\"\r\n    collection_jitter = \"0s\"\r\n    metric_batch_size = 1000\r\n    metric_buffer_limit = 10000\r\n    quiet = false\r\n    logfile = \"/var/log/telegraf/telegraf.log\"\r\n    omit_hostname = false\r\n\r\n\r\n###############################################################################\r\n#                                  OUTPUTS                                    #\r\n###############################################################################\r\n\r\n[[outputs.prometheus_client]]\r\n    listen = \":9273\"\r\n\r\n###############################################################################\r\n#                                  INPUTS                                     #\r\n###############################################################################\r\n\r\n[[inputs.cpu]]\r\n    percpu = true\r\n[[inputs.disk]]\r\n[[inputs.io]]\r\n[[inputs.mem]]\r\n[[inputs.net]]\r\n[[inputs.system]]\r\n[[inputs.swap]]\r\n[[inputs.netstat]]\r\n[[inputs.processes]]\r\n[[inputs.kernel]]\r\n[[inputs.diskio]]\r\n[[inputs.procstat]]\r\n    user = \"root,telegraf,ubuntu\"\r\n\r\n```\r\n\r\n# Panels using in Dashboard\r\n- Number of CPU Cores of node.\r\n- OS Disk Space Used Currently.\r\n- Currently Memory Using.\r\n- Last 1 min System Load.\r\n- Top CPU Consuming Process running on node.\r\n- Top Memory Cunsuming Prcess running on node.\r\n- CPU Utilization.\r\n- Memory Utilization.\r\n- Disk Space usages on each mount point.\r\n- Disk IO Write.\r\n- Disk IO READ.\r\n- Network Input\r\n- Network Output\r\n\r\n## Contributor Information\r\n**mahesh.kumar@opstree.com**","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-06-17T11:16:47.000Z","updatedAt":"2022-06-03T12:32:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/12484"},{"rel":"revisions","href":"/dashboards/12484/revisions"},{"rel":"revision","href":"/dashboards/12484/revisions/4"},{"rel":"download","href":"/dashboards/12484/revisions/4/download"},{"rel":"org","href":"/orgs/opstreedevops"},{"rel":"images","href":"/dashboards/12484/images"},{"rel":"thumbnails","href":"/dashboards/12484/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22596,"status":1,"statusCode":"active","orgId":633126,"orgSlug":"yalcinemik","orgName":"yalcinemik","slug":"system-informationn","downloads":249,"revisionId":35599,"revision":1,"name":"System Informationn","description":"System Information Dashboard provides information about the node","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-01-02T08:59:16.000Z","updatedAt":"2025-01-02T08:59:31.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22596"},{"rel":"revisions","href":"/dashboards/22596/revisions"},{"rel":"revision","href":"/dashboards/22596/revisions/1"},{"rel":"download","href":"/dashboards/22596/revisions/1/download"},{"rel":"org","href":"/orgs/yalcinemik"},{"rel":"images","href":"/dashboards/22596/images"},{"rel":"thumbnails","href":"/dashboards/22596/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9769,"status":1,"statusCode":"active","orgId":165546,"orgSlug":"kekio","orgName":"kekio","slug":"system-load","downloads":800,"revisionId":13694,"revision":4,"name":"System Load","description":"System load aggregates alert","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-02-06T16:15:29.000Z","updatedAt":"2019-02-22T10:31:17.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9769"},{"rel":"revisions","href":"/dashboards/9769/revisions"},{"rel":"revision","href":"/dashboards/9769/revisions/4"},{"rel":"download","href":"/dashboards/9769/revisions/4/download"},{"rel":"org","href":"/orgs/kekio"},{"rel":"images","href":"/dashboards/9769/images"},{"rel":"thumbnails","href":"/dashboards/9769/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2030,"status":1,"statusCode":"active","orgId":56258,"orgSlug":"erhwenkuo","orgName":"erhwenkuo","slug":"elk-session-one","downloads":5568,"revisionId":2684,"revision":1,"name":"System metrics","description":"System metrics from metricbeat to elasticsearch","readme":"Dashboard from metricbeat metrics of the OS. This dashboard is served as a demonstration for Grafana training.","collectorType":"Beats","collectorConfig":"```\r\nmetricbeat.modules:\r\n\r\n#------------------------------- System Module -------------------------------\r\n- module: system\r\n  metricsets:\r\n    # CPU stats\r\n    - cpu\r\n    # System Load stats\r\n    - load\r\n    # Per CPU core stats\r\n    - core\r\n    # IO stats\r\n    - diskio\r\n    # Per filesystem stats\r\n    - filesystem\r\n    # File system summary stats\r\n    - fsstat\r\n    # Memory stats\r\n    - memory\r\n    # Network stats\r\n    - network\r\n    # Per process stats\r\n    #- process\r\n    # Per process stats\r\n    #- process\r\n    # Sockets (linux only)\r\n    #- socket\r\n  enabled: true\r\n  period: 10s\r\n  processes: ['.*']\r\n  \r\noutput.elasticsearch:\r\n  # Array of hosts to connect to.\r\n  hosts: [\"localhost:9200\"]\r\n```","collectorPluginList":"Metricbeat","datasource":"Elasticsearch","privacy":"public","createdAt":"2017-04-17T01:42:58.000Z","updatedAt":"2017-04-17T01:59:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/2030"},{"rel":"revisions","href":"/dashboards/2030/revisions"},{"rel":"revision","href":"/dashboards/2030/revisions/1"},{"rel":"download","href":"/dashboards/2030/revisions/1/download"},{"rel":"org","href":"/orgs/erhwenkuo"},{"rel":"images","href":"/dashboards/2030/images"},{"rel":"thumbnails","href":"/dashboards/2030/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":7225,"status":1,"statusCode":"active","orgId":173611,"orgSlug":"owelinux","orgName":"owelinux","slug":"system-metrics","downloads":1546,"revisionId":9876,"revision":2,"name":"System metrics","description":"System metrics from metricbeat to elasticsearch","readme":"welcome my blog: https://owelinux.github.io ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2018-07-30T08:10:04.000Z","updatedAt":"2018-07-31T10:46:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/7225"},{"rel":"revisions","href":"/dashboards/7225/revisions"},{"rel":"revision","href":"/dashboards/7225/revisions/2"},{"rel":"download","href":"/dashboards/7225/revisions/2/download"},{"rel":"org","href":"/orgs/owelinux"},{"rel":"images","href":"/dashboards/7225/images"},{"rel":"thumbnails","href":"/dashboards/7225/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":9599,"status":1,"statusCode":"active","orgId":38089,"orgSlug":"inspectit","orgName":"inspectit","slug":"system-metrics","downloads":533,"revisionId":17475,"revision":4,"name":"System Metrics","description":"","readme":"Shows system metrics collected by inspectIT Ocelot:\n- system CPU metrics\n- system disk usage metrics\n\n*This dashboard is for usage with a Prometheus data source.*","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-01-04T15:08:52.000Z","updatedAt":"2020-05-07T14:40:26.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9599"},{"rel":"revisions","href":"/dashboards/9599/revisions"},{"rel":"revision","href":"/dashboards/9599/revisions/4"},{"rel":"download","href":"/dashboards/9599/revisions/4/download"},{"rel":"org","href":"/orgs/inspectit"},{"rel":"images","href":"/dashboards/9599/images"},{"rel":"thumbnails","href":"/dashboards/9599/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9601,"status":1,"statusCode":"active","orgId":38089,"orgSlug":"inspectit","orgName":"inspectit","slug":"system-metrics","downloads":473,"revisionId":17480,"revision":6,"name":"System Metrics","description":"","readme":"Shows system metrics collected by inspectIT Ocelot:\n- system CPU metrics\n- system disk usage metrics\n\n*This dashboard is for usage with a InfluxDB data source.*","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-01-04T15:17:26.000Z","updatedAt":"2020-05-07T14:42:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9601"},{"rel":"revisions","href":"/dashboards/9601/revisions"},{"rel":"revision","href":"/dashboards/9601/revisions/6"},{"rel":"download","href":"/dashboards/9601/revisions/6/download"},{"rel":"org","href":"/orgs/inspectit"},{"rel":"images","href":"/dashboards/9601/images"},{"rel":"thumbnails","href":"/dashboards/9601/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16454,"status":1,"statusCode":"active","orgId":592198,"orgSlug":"gbessa","orgName":"gbessa","slug":"system-metrics","downloads":719,"revisionId":25091,"revision":1,"name":"System Metrics","description":"CPU and Memory 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alerts","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-06-08T18:45:04.000Z","updatedAt":"2021-06-08T18:49:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14564"},{"rel":"revisions","href":"/dashboards/14564/revisions"},{"rel":"revision","href":"/dashboards/14564/revisions/1"},{"rel":"download","href":"/dashboards/14564/revisions/1/download"},{"rel":"org","href":"/orgs/safetylab"},{"rel":"images","href":"/dashboards/14564/images"},{"rel":"thumbnails","href":"/dashboards/14564/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14917,"status":1,"statusCode":"active","orgId":521952,"orgSlug":"teammacdonnell","orgName":"teammacdonnell","slug":"system-metrics","downloads":307,"revisionId":22248,"revision":1,"name":"System Metrics","description":"Complete Prometheus Node Exporter dashboard","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-08-25T06:24:03.000Z","updatedAt":"2021-08-25T06:24:38.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14917"},{"rel":"revisions","href":"/dashboards/14917/revisions"},{"rel":"revision","href":"/dashboards/14917/revisions/1"},{"rel":"download","href":"/dashboards/14917/revisions/1/download"},{"rel":"org","href":"/orgs/teammacdonnell"},{"rel":"images","href":"/dashboards/14917/images"},{"rel":"thumbnails","href":"/dashboards/14917/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15938,"status":1,"statusCode":"active","orgId":528879,"orgSlug":"gabrieldevops","orgName":"gabrieldevops","slug":"system-metrics","downloads":278,"revisionId":24164,"revision":1,"name":"System Metrics","description":"Métricas do sistema","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-03-16T21:09:02.000Z","updatedAt":"2022-03-16T21:09:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15938"},{"rel":"revisions","href":"/dashboards/15938/revisions"},{"rel":"revision","href":"/dashboards/15938/revisions/1"},{"rel":"download","href":"/dashboards/15938/revisions/1/download"},{"rel":"org","href":"/orgs/gabrieldevops"},{"rel":"images","href":"/dashboards/15938/images"},{"rel":"thumbnails","href":"/dashboards/15938/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23356,"status":1,"statusCode":"active","orgId":1415195,"orgSlug":"kaustubhsaha","orgName":"kaustubhsaha","slug":"system-metrics","downloads":242,"revisionId":37048,"revision":1,"name":"System metrics","description":"System metrics from metricbeat to elasticsearch","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2025-04-28T20:48:44.000Z","updatedAt":"2025-04-28T20:48:55.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23356"},{"rel":"revisions","href":"/dashboards/23356/revisions"},{"rel":"revision","href":"/dashboards/23356/revisions/1"},{"rel":"download","href":"/dashboards/23356/revisions/1/download"},{"rel":"org","href":"/orgs/kaustubhsaha"},{"rel":"images","href":"/dashboards/23356/images"},{"rel":"thumbnails","href":"/dashboards/23356/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":20215,"status":1,"statusCode":"active","orgId":1019020,"orgSlug":"m7s4","orgName":"m7s4","slug":"system-metrics","downloads":401,"revisionId":31155,"revision":3,"name":"System Metrics","description":"Dashboard displaying system metrics collected by Telegraf and TimescaleDB.","readme":"## System Metrics Dashboard\r\n\r\nThis dashboard visualizes system metrics collected by Telegraf and stored in TimescaleDB. It provides a view of key performance indicators per host including CPU usage, memory utilization, network activity, and disk storage metrics.\r\n\r\n### Contact\r\n\r\nReport issues to: [info+grafana@mstock.de](mailto:info+grafana@mstock.de)","collectorType":"Telegraf","collectorConfig":"#### Example config\r\n\r\n```\r\n[agent]\r\n  hostname = \"my.example.local\"\r\n\r\n[[outputs.postgresql]]\r\n  connection = \"host=timescaledb user=postgres password=mypassword dbname=postgres\"\r\n\r\n[[inputs.cpu]]\r\n[[inputs.disk]]\r\n[[inputs.diskio]]\r\n[[inputs.mem]]\r\n[[inputs.net]]\r\n[[inputs.sensors]]\r\n```","collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2023-12-27T15:02:22.000Z","updatedAt":"2024-01-02T11:20:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20215"},{"rel":"revisions","href":"/dashboards/20215/revisions"},{"rel":"revision","href":"/dashboards/20215/revisions/3"},{"rel":"download","href":"/dashboards/20215/revisions/3/download"},{"rel":"org","href":"/orgs/m7s4"},{"rel":"images","href":"/dashboards/20215/images"},{"rel":"thumbnails","href":"/dashboards/20215/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":16076,"status":1,"statusCode":"active","orgId":627972,"orgSlug":"doncic","orgName":"doncic","slug":"system-metrics-multiple","downloads":369,"revisionId":24391,"revision":1,"name":"System Metrics - Multiple","description":"vm telegraf\r\n模板支持同时选择多个instance进行展示\r\n","readme":"## 一\r\n###### 2022-03 FROM HZ\r\n###### 安装部署victoriametrics 单机版\r\n###### 采用docker的方式部署整套基础架构\r\n###### 使用telegraf代替node-export监控vm\r\n###### metrics流 telegraf --> vmagent --> victoriametrics\r\n###### 查询流 grafana --> victoriametrics\r\n###### 告警流 victoriametrics <-- vmalert --> alertmanager\r\n\r\n\r\n## 二\r\n### telegraf 相关配置 （大写的字符串，自行替换）\r\n###### 配置一：\r\n[{\r\n  \"targets\": [\r\n    IP:9273\r\n  ],\r\n  \"labels\": {\r\n    \"datacenter\":\"ali\",\r\n    \"env\":\"ENV\",\r\n    \"host\":\"HOST\"\r\n  }\r\n}]\r\n###### 配置二：\r\ntelegraf --sample-config --input-filter cpu:disk:diskio:interrupts:kernel:linux_sysctl_fs:mem:net:netstat:processes:swap:system --output-filter prometheus_client --aggregator-filter : --processor-filter : > /etc/telegraf/telegraf.conf\r\n\r\n\r\n## 三\r\n###### 模板支持同时选择多个instance进行展示\r\n###### 对单instance进行精简，将重点观测项集成，用于快速比对\r\n","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-04-07T09:27:47.000Z","updatedAt":"2022-04-07T10:03:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16076"},{"rel":"revisions","href":"/dashboards/16076/revisions"},{"rel":"revision","href":"/dashboards/16076/revisions/1"},{"rel":"download","href":"/dashboards/16076/revisions/1/download"},{"rel":"org","href":"/orgs/doncic"},{"rel":"images","href":"/dashboards/16076/images"},{"rel":"thumbnails","href":"/dashboards/16076/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6149,"status":1,"statusCode":"active","orgId":149708,"orgSlug":"anthonysr","orgName":"Anthony R","slug":"system-metrics-single","downloads":7637,"revisionId":8375,"revision":1,"name":"System Metrics - Single","description":"Metric view designed for a single system since some graphs overlay multiple queries.","readme":"Display system metrics for a single Telegraf instance, selectable via drop-down. Metrics are grouped into collapsible rows. Provides option to filter disks and network interfaces, which are dynamic rows populated per instance.","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"docker, system","datasource":"Prometheus","privacy":"public","createdAt":"2018-05-18T00:20:59.000Z","updatedAt":"2018-05-23T18:42:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/6149"},{"rel":"revisions","href":"/dashboards/6149/revisions"},{"rel":"revision","href":"/dashboards/6149/revisions/1"},{"rel":"download","href":"/dashboards/6149/revisions/1/download"},{"rel":"org","href":"/orgs/anthonysr"},{"rel":"images","href":"/dashboards/6149/images"},{"rel":"thumbnails","href":"/dashboards/6149/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13021,"status":1,"statusCode":"active","orgId":230720,"orgSlug":"yurievac","orgName":"yurievac","slug":"system-metrics-for-the-linux-hosts","downloads":2166,"revisionId":24714,"revision":2,"name":"System Metrics for the Linux Hosts","description":"Monitoring Linux Hosts via telegraf agent.","readme":"Installation:\r\n\r\nYou can download the binaries directly from the downloads page https://www.influxdata.com/downloads.\r\n\r\nUbuntu & Debian \r\n\r\nwget https://dl.influxdata.com/telegraf/releases/telegraf_1.15.3-1_amd64.deb && dpkg -i telegraf_1.15.3-1_amd64.deb\r\n\r\nRedHat & CentOS \r\n\r\nwget https://dl.influxdata.com/telegraf/releases/telegraf-1.15.3-1.x86_64.rpm && yum localinstall telegraf-1.15.3-1.x86_64.rpm\r\n","collectorType":"Telegraf","collectorConfig":"To activate the service \"Network Utilization\", you need to create a config file /etc/telegraf/telegraf.d/inputs_net.conf with the following content:\r\n\r\n\r\n[[inputs.net]]\r\n\r\ninterfaces = [\"eth*\", \"enp0s[0-1]\", \"ens*\", \"lo\"]\r\n","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-09-16T12:23:31.000Z","updatedAt":"2022-05-12T06:26:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":9,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13021"},{"rel":"revisions","href":"/dashboards/13021/revisions"},{"rel":"revision","href":"/dashboards/13021/revisions/2"},{"rel":"download","href":"/dashboards/13021/revisions/2/download"},{"rel":"org","href":"/orgs/yurievac"},{"rel":"images","href":"/dashboards/13021/images"},{"rel":"thumbnails","href":"/dashboards/13021/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15365,"status":1,"statusCode":"active","orgId":575099,"orgSlug":"ulricqin","orgName":"ulricqin","slug":"system-metrics-for-the-linux-hosts","downloads":774,"revisionId":23130,"revision":1,"name":"System Metrics for the Linux Hosts","description":"Monitoring Linux Hosts via telegraf agent.","readme":"- use Telegraf as agent\n- use Prometheus as DataSource\n- for [nightingale](https://github.com/didi/nightingale) users\n","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-12-09T12:26:22.000Z","updatedAt":"2021-12-09T12:46:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15365"},{"rel":"revisions","href":"/dashboards/15365/revisions"},{"rel":"revision","href":"/dashboards/15365/revisions/1"},{"rel":"download","href":"/dashboards/15365/revisions/1/download"},{"rel":"org","href":"/orgs/ulricqin"},{"rel":"images","href":"/dashboards/15365/images"},{"rel":"thumbnails","href":"/dashboards/15365/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14396,"status":1,"statusCode":"active","orgId":476684,"orgSlug":"wasteland","orgName":"wasteland","slug":"system-metrics-for-the-linux-hosts","downloads":317,"revisionId":21264,"revision":1,"name":"System Metrics for the Linux Hosts","description":"Monitoring Linux Hosts via telegraf agent.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-05-10T11:39:02.000Z","updatedAt":"2021-05-10T11:39:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14396"},{"rel":"revisions","href":"/dashboards/14396/revisions"},{"rel":"revision","href":"/dashboards/14396/revisions/1"},{"rel":"download","href":"/dashboards/14396/revisions/1/download"},{"rel":"org","href":"/orgs/wasteland"},{"rel":"images","href":"/dashboards/14396/images"},{"rel":"thumbnails","href":"/dashboards/14396/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17485,"status":1,"statusCode":"active","orgId":740068,"orgSlug":"klettit","orgName":"klettit","slug":"system-metrics-linux-single","downloads":573,"revisionId":26848,"revision":1,"name":"System Metrics Linux - Single","description":"Metric view designed for a single system since some graphs overlay multiple queries. Updated and modifed for usage with Telegraf and VictoriaMetrics","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-25T07:13:37.000Z","updatedAt":"2022-11-25T07:13:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17485"},{"rel":"revisions","href":"/dashboards/17485/revisions"},{"rel":"revision","href":"/dashboards/17485/revisions/1"},{"rel":"download","href":"/dashboards/17485/revisions/1/download"},{"rel":"org","href":"/orgs/klettit"},{"rel":"images","href":"/dashboards/17485/images"},{"rel":"thumbnails","href":"/dashboards/17485/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3314,"status":1,"statusCode":"active","orgId":87788,"orgSlug":"ashuw018","orgName":"ashuw018","slug":"system-metric-windows","downloads":2924,"revisionId":4592,"revision":1,"name":"System Metrics: Windows","description":"This 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Both provide [system monitoring capabilities](https://metricshub.com/docs/latest/connectors/tags/system.html), and the **Enterprise Edition** adds seamless integration for advanced environments. You can try the **Enterprise Edition** free for [30 days](https://www.metricshub.com/downloads) to explore its full capabilities.  [Compare both editions](https://www.metricshub.com/pricing).\r\n\r\n# Key Features of System Performance Metrics – Overview (MetricsHub®) Dashboard\r\n- **Unified monitoring across modern and legacy operating systems:** The only Grafana dashboard covering IBM AIX, HP-UX, Windows, and Linux without distinction.\r\n- **Comprehensive system overview:** Access key system information, including uptime, alerts, CPU usage, and memory usage.\r\n- **Protocol health and responsiveness:** Monitor the availability and response times of key protocols like HTTP, Ping, SNMP, SSH, WBEM, and WMI.\r\n- **Activity metrics:** Visualize the top filesystems by utilization, top drives by traffic and utilization, and top network interfaces by traffic and utilization.\r\n\r\nYou can access more detailed server information and gain insight into CPU usage, memory usage, filesystem usage, and network traffic with the System Performance Metrics (MetricsHub) dashboard.\r\n\r\n# Setup and Configuration\r\n1. [Download](https://www.metricshub.com/downloads) and [install MetricsHub](https://metricshub.com/docs/latest/installation/index.html)\r\n2. [Configure MetricsHub](https://metricshub.com/docs/latest/configuration/configure-monitoring.html)\r\n3. [Send telemetry to Prometheus](https://metricshub.com/docs/latest/prometheus/prometheus.html)\r\n4. [Import the Systems Performance Metrics (MetricsHub)](https://grafana.com/docs/grafana/latest/dashboards/manage-dashboards/#export-and-import-dashboards) dashboard into Grafana.\r\n\r\n# Other MetricsHub Grafana Dashboards\r\nMetricsHub provides several Grafana dashboards to help you monitor your infrastructure at different levels, from a global view of all monitored environments to detailed metrics for individual systems.\r\n- **System Performance Metrics (MetricsHub) Dashboard**\r\nVisualizes key system performance indicators, including CPU usage, memory consumption, filesystem capacity, network traffic, and protocol response time, for Linux, Windows, HP-UX, and IBM AIX systems.\r\n- **Hardware Main (MetricsHub) Dashboard**\r\nProvides a centralized view of hardware health and performance metrics across all monitored environments. 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Both provide [system monitoring capabilities](https://metricshub.com/docs/latest/connectors/tags/system.html); the **Enterprise Edition** adds seamless integration for advanced environments. You can try the **Enterprise Edition** free for [30 days](https://www.metricshub.com/downloads) to explore its full capabilities.  [Compare both editions](https://www.metricshub.com/pricing)\r\n\r\n## Key Features of System Performance Metrics (MetricsHub®) Dashboard\r\n- **Cross-platform monitoring:** Visualize performance metrics from both Linux and Windows systems through a unified Grafana dashboard\r\n- **Comprehensive host overview:** Access key system information at a glance, including uptime, number of CPU cores, memory size, disk capacity, and connector status.\r\n- **Protocol health and responsiveness**: Monitor the availability and response times of key protocols like HTTP, Ping, SNMP, SSH, WBEM, and WMI.\r\n- **Detailed performance metrics:** Gain insight into CPU usage, memory usage, filesystem usage, and network traffic.\r\n\r\n## Setup and Configuration\r\n1. [Download](https://www.metricshub.com/downloads) and [install MetricsHub](https://metricshub.com/docs/latest/installation/index.html)\r\n2. [Configure MetricsHub](https://metricshub.com/docs/latest/configuration/configure-monitoring.html)\r\n3. [Send telemetry to Prometheus](https://metricshub.com/docs/latest/prometheus/prometheus.html)\r\n4. 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]","collectorPluginList":"exec","datasource":"InfluxDB","privacy":"public","createdAt":"2020-10-30T15:14:27.000Z","updatedAt":"2020-10-30T15:15:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13309"},{"rel":"revisions","href":"/dashboards/13309/revisions"},{"rel":"revision","href":"/dashboards/13309/revisions/1"},{"rel":"download","href":"/dashboards/13309/revisions/1/download"},{"rel":"org","href":"/orgs/b4b857f6ee"},{"rel":"images","href":"/dashboards/13309/images"},{"rel":"thumbnails","href":"/dashboards/13309/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11920,"status":1,"statusCode":"active","orgId":360942,"orgSlug":"zhxx123","orgName":"zhxx123","slug":"systemmonitor","downloads":389,"revisionId":16926,"revision":3,"name":"SystemMonitor","description":"InfluxDB system metrics","readme":"导入看板后，需要根据实际情况在看板右上角点击Dashboard settings--Variables设置好变量，对于网络监控，默认屏蔽了 docker 相关的虚拟网卡流量","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-03-17T04:07:32.000Z","updatedAt":"2020-03-17T12:10:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11920"},{"rel":"revisions","href":"/dashboards/11920/revisions"},{"rel":"revision","href":"/dashboards/11920/revisions/3"},{"rel":"download","href":"/dashboards/11920/revisions/3/download"},{"rel":"org","href":"/orgs/zhxx123"},{"rel":"images","href":"/dashboards/11920/images"},{"rel":"thumbnails","href":"/dashboards/11920/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15989,"status":1,"statusCode":"active","orgId":623089,"orgSlug":"opusm1","orgName":"opusm1","slug":"systems","downloads":272,"revisionId":24268,"revision":1,"name":"Systems","description":"opusm test 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Environnement\r\n\r\n* Docker : Mongodb 6.0.5\r\n* Docker : percona/mongodb_exporter 2.37.0\r\n* Docker : prometheus 2.44.0\r\n* Docker : grafana 9.5.2\r\n\r\nAttention le tableau de bord ne fonctionne qu'avec la version 2.x de mongodb_exporter.\r\n\r\n## Mongodb\r\n\r\n*  Version 6.0.5 ;\r\n* Authentification désactivée pour les tests avec mongod_exporter ;\r\n* Une instance, 160 collections.\r\n\r\n## Mongodb_exporter\r\n\r\nLa configuration du docker compose : \r\n\r\n```yml\r\nmongodb_exporter:\r\n    platform: \"linux\"\r\n    container_name: mongodb_exporter\r\n    image: percona/mongodb_exporter:${mongo_exporter_version}\r\n    command:\r\n        - '--mongodb.global-conn-pool'\r\n        - '--collector.diagnosticdata'\r\n        - '--discovering-mode'\r\n        - '--mongodb.uri=mongodb://mongodb:17001/admin?ssl=false'\r\n```\r\n\r\nPour l'authentification :\r\n- Il faut ajouter `--auth`  comme paramètre à l'image docker de MongoDB.\r\n- `--mongodb.uri=mongodb://{login}:{password}@mongodb:27001/admin?ssl=false\r\n\r\nL'utilisation de   `- '--collector.diagnosticdata'` et de `--discovering-mode` remonte 5936 indicateurs, c'est déjà trop !\r\n\r\n## Prometheus\r\n\r\nPour la configuration, il ne faudra pas oublier d'ajouter dans le fichier `prometheus.yml` la source pour la collecte des données. Pour une configuratyion docker, il faudra ajouter soit de façon statique l'adresse Ip du container ou utiliser la résolution DNS interne pour docker.\r\n\r\n```yml\r\n# MONGODB\r\n  - job_name: Mongodb_exporter\r\n    scrape_interval: 5s\r\n    tls_config:\r\n      insecure_skip_verify: true\r\n    dns_sd_configs:\r\n      - names:\r\n        - mongodb_exporter\r\n        type: A\r\n        port: 9216\r\n```\r\n\r\n`mongodb_exporter`est le nom de l'image docker du service mongodb_exporter.\r\n\r\n## Grafana\r\n\r\nJ'utilise deux variables : `$interval`et `$instance`.\r\n\r\n## Auteur \r\n\r\nLaurent HADJADJ - CC 4.0 BY-NC-SA","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-05-29T11:03:51.000Z","updatedAt":"2023-05-29T14:20:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18847"},{"rel":"revisions","href":"/dashboards/18847/revisions"},{"rel":"revision","href":"/dashboards/18847/revisions/1"},{"rel":"download","href":"/dashboards/18847/revisions/1/download"},{"rel":"org","href":"/orgs/laurenth"},{"rel":"images","href":"/dashboards/18847/images"},{"rel":"thumbnails","href":"/dashboards/18847/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23253,"status":1,"statusCode":"active","orgId":1059861,"orgSlug":"netgame","orgName":"netgame","slug":"tables-size","downloads":695,"revisionId":37000,"revision":3,"name":"Tables Size","description":"Tables Size","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2025-04-15T14:02:44.000Z","updatedAt":"2025-04-25T09:54:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23253"},{"rel":"revisions","href":"/dashboards/23253/revisions"},{"rel":"revision","href":"/dashboards/23253/revisions/3"},{"rel":"download","href":"/dashboards/23253/revisions/3/download"},{"rel":"org","href":"/orgs/netgame"},{"rel":"images","href":"/dashboards/23253/images"},{"rel":"thumbnails","href":"/dashboards/23253/thumbnails"}]},{"id":18734,"status":1,"statusCode":"active","orgId":854547,"orgSlug":"tadatafabric","orgName":"tadatafabric","slug":"tadatafabric-dashboard-grafana","downloads":314,"revisionId":28745,"revision":1,"name":"tadatafabric-dashboard-grafana","description":"Here the visualization","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Google Sheets","privacy":"public","createdAt":"2023-05-13T13:55:29.000Z","updatedAt":"2023-05-13T13:56:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18734"},{"rel":"revisions","href":"/dashboards/18734/revisions"},{"rel":"revision","href":"/dashboards/18734/revisions/1"},{"rel":"download","href":"/dashboards/18734/revisions/1/download"},{"rel":"org","href":"/orgs/tadatafabric"},{"rel":"images","href":"/dashboards/18734/images"},{"rel":"thumbnails","href":"/dashboards/18734/thumbnails"}],"datasourceSlugs":["grafana-googlesheets-datasource"]},{"id":13623,"status":1,"statusCode":"active","orgId":448960,"orgSlug":"aaroncarson","orgName":"Aaron Carson","slug":"tado","downloads":411,"revisionId":19891,"revision":1,"name":"Tado","description":"This dashboard uses a Prometheus exporter for the Tado thermostat to simply show the temperature, humidity and heating settings.","readme":"**This dashboard assumes that you only have one heating zone.**  \r\n\r\n**It is also set up to use celsius (℃). You will need to make changes throughout to change this to Fahrenheit.**  \r\nThe recommended exporter does provide a Fahrenheit value. This can be accessed by changing `unit=\"celsius\"` to `unit=\"fahrenheit\"` in all the Prometheus queries -- you won't need to calculate it.\r\n\r\nThe exporter I've used is eko's tado-exporter.\r\n- [Docker Hub](https://hub.docker.com/r/ekofr/tado-exporter)\r\n- [GitHub](https://github.com/eko/tado-exporter)\r\n\r\nDespite this, I don't doubt that it could very easily be adapted to support another exporter.\r\n\r\nI've also published the `docker-compose.yml` file that I use to run the Prometheus, Grafana and tado-exporter stack. This can be found on [GitHub here](https://github.com/caraar12345/tado-grafana/blob/main/docker-compose.yml).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-12-21T17:13:46.000Z","updatedAt":"2020-12-21T17:30:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13623"},{"rel":"revisions","href":"/dashboards/13623/revisions"},{"rel":"revision","href":"/dashboards/13623/revisions/1"},{"rel":"download","href":"/dashboards/13623/revisions/1/download"},{"rel":"org","href":"/orgs/aaroncarson"},{"rel":"images","href":"/dashboards/13623/images"},{"rel":"thumbnails","href":"/dashboards/13623/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17645,"status":1,"statusCode":"active","orgId":763155,"orgSlug":"anna8robin","orgName":"anna8robin","slug":"tado","downloads":320,"revisionId":27105,"revision":1,"name":"Tado","description":"This dashboard uses a Prometheus exporter for the Tado thermostat to simply show the temperature, humidity and heating settings.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-12-18T13:28:59.000Z","updatedAt":"2022-12-18T13:29:16.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17645"},{"rel":"revisions","href":"/dashboards/17645/revisions"},{"rel":"revision","href":"/dashboards/17645/revisions/1"},{"rel":"download","href":"/dashboards/17645/revisions/1/download"},{"rel":"org","href":"/orgs/anna8robin"},{"rel":"images","href":"/dashboards/17645/images"},{"rel":"thumbnails","href":"/dashboards/17645/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25051,"status":1,"statusCode":"active","orgId":1708362,"orgSlug":"mihaifedot","orgName":"mihaifedot","slug":"tado","downloads":5,"revisionId":40273,"revision":1,"name":"Tado","description":"This dashboard uses a Prometheus exporter for the Tado thermostat to simply show the temperature, humidity and heating settings.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-03-23T17:16:56.000Z","updatedAt":"2026-03-23T17:17:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25051"},{"rel":"revisions","href":"/dashboards/25051/revisions"},{"rel":"revision","href":"/dashboards/25051/revisions/1"},{"rel":"download","href":"/dashboards/25051/revisions/1/download"},{"rel":"org","href":"/orgs/mihaifedot"},{"rel":"images","href":"/dashboards/25051/images"},{"rel":"thumbnails","href":"/dashboards/25051/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19301,"status":1,"statusCode":"active","orgId":627742,"orgSlug":"dam2000","orgName":"dam2000","slug":"tado-dashboard","downloads":403,"revisionId":29588,"revision":1,"name":"tado (tm) unofficial Dashboard","description":"Grafana Dashboard that shows the temperatures, humidity, activity, devices for all rooms. A detailed view is shown based on the selected room. Telegraf exporter: https://github.com/dam2k/telegraf-dam2ktado (PHP)","readme":"# Tado metrics - tags and fields\r\nThe exported metrics collected by telegraf thanks to this plugin are defined below.\r\n## Zones: your house rooms\r\n### Tags\r\n- **zoneid**: your tado defined zone ID\r\n- **zonename**: your zone name (eg the room name, as you have defined the zone into your tado app)\r\n- **zonetype**: your zone controller type (eg HEATING, AIR_CONDITIONING)\r\n### Fields\r\n- **power**: OFF or ON. If you enabled yor thermostat for the zone\r\n- **desired_celsius**: Desired celsius temperature for the zone\r\n- **linkstate**: ONLINE or OFFLINE. If the zone is detected online by the tado network\r\n- **controltype**: MANUAL or AUTOMATIC. If the thermostat controller is setted manually or automatically\r\n- **celsius**: The actual temperature for the zone in celsius degrees (C.)\r\n- **humidity**: The actual humidity for the zone (percentual)\r\n- **heating_power**: The actual heating power setted by tado to reach the desired room temperature (percentual)\r\n## Devices: your tado devices\r\n### Tags\r\n- **zoneid**: your tado defined zone ID\r\n- **zonename**: your zone name (eg the room name, as you have defined the zone into your tado app)\r\n- **zonetype**: your zone controller type (eg HEATING, AIR_CONDITIONING)\r\n- **serialNo**: your tado device serial number (thermostat, valve, etc)\r\n### Fields\r\n- **deviceType**: your tado device type (eg RU02, VA02, etc)\r\n- **shortSerialNo**: short device serial number\r\n- **currentFwVersion**: the device firmware version\r\n- **connectionState**: the device connection state to the tado bridge. Can be true or false\r\n- **batteryState**: the device battery level (NORMAL, LOW or n/a for devices without batteries)\r\n- **mountingState**: the mounting state. CALIBRATED for devices that require mounting (like valves) or n/a if unnecessary\r\n","collectorType":"Telegraf","collectorConfig":"Telegraf plugin instruction can be read at the official page: https://github.com/dam2k/telegraf-dam2ktado","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2023-08-04T21:50:16.000Z","updatedAt":"2023-08-04T21:56:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19301"},{"rel":"revisions","href":"/dashboards/19301/revisions"},{"rel":"revision","href":"/dashboards/19301/revisions/1"},{"rel":"download","href":"/dashboards/19301/revisions/1/download"},{"rel":"org","href":"/orgs/dam2000"},{"rel":"images","href":"/dashboards/19301/images"},{"rel":"thumbnails","href":"/dashboards/19301/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18359,"status":1,"statusCode":"active","orgId":738545,"orgSlug":"costerch","orgName":"costerch","slug":"thermostat","downloads":328,"revisionId":28181,"revision":1,"name":"Tado + Tuya thermostat data","description":"Dashboard which uses the data from https://github.com/eko/tado-exporter and https://github.com/acoster/tuya-exporter to display temperature, humidity and heating status.","readme":"Uses data collected by https://github.com/eko/tado-exporter and https://github.com/acoster/tuya-exporter to display temperature, humidity and heating status.\r\n\r\nTo have the 24h aggregation displayed, the following computation rule must be added to Prometheus:\r\n\r\n```yaml\r\ngroups:\r\n  - name: agg24h\r\n    rules:\r\n      - record: zone:tado_minutes_heating_on:24h\r\n        expr: sum_over_time(((sum(tado_activity_heating_power_percentage) by (zone)) > bool 0)[24h:1m])\r\n      - record: zone:tado_minutes_window_open:24h\r\n        expr: sum_over_time(tado_sensor_window_opened[24h:1m])\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-25T11:23:28.000Z","updatedAt":"2023-03-25T11:29:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18359"},{"rel":"revisions","href":"/dashboards/18359/revisions"},{"rel":"revision","href":"/dashboards/18359/revisions/1"},{"rel":"download","href":"/dashboards/18359/revisions/1/download"},{"rel":"org","href":"/orgs/costerch"},{"rel":"images","href":"/dashboards/18359/images"},{"rel":"thumbnails","href":"/dashboards/18359/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13699,"status":1,"statusCode":"active","orgId":329777,"orgSlug":"disisto","orgName":"disisto","slug":"tado-dashboard-celsius","downloads":951,"revisionId":19996,"revision":1,"name":"tado° (Celsius)","description":"Grafana Dashboard for Prometheus eko/tado-exporter that shows the temperature setting, current temperature, humidity and activity for all rooms. A detailed view is shown based on the selected room.","readme":"Grafana Dashboard for Prometheus [`eko/tado-exporter`](https://github.com/eko/tado-exporter) that shows the temperature setting, current temperature, humidity and activity for all rooms equipped with tado° Smart Radiator Thermostat and/or Temperature Sensor.\n\nThis dashboard shows all values (unit symbol  and thresholds) in Celsius. If you prefer to see your results in Fahrenheit please use this dashboard:\n [https://grafana.com/grafana/dashboards/`13700`](https://grafana.com/grafana/dashboards/13700)\n\nFor detailed informations, please visit:\n[`disisto/grafana-dashboard-for-prometheus-tado-exporter`](https://github.com/disisto/grafana-dashboard-for-prometheus-tado-exporter)\n\n---\n\n![alt text](https://raw.githubusercontent.com/disisto/grafana-dashboard-for-prometheus-tado-exporter/main/img/grafana_dashboard_for_prometheus_tado_exporter.png \"Grafana dashboard for Prometheus tado-exporter\")\n\n\n\n\n---\nThis project is not affiliated with tado°.\nAll mentioned trademarks are the property of their respective owners.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-09T09:51:21.000Z","updatedAt":"2021-01-09T16:01:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13699"},{"rel":"revisions","href":"/dashboards/13699/revisions"},{"rel":"revision","href":"/dashboards/13699/revisions/1"},{"rel":"download","href":"/dashboards/13699/revisions/1/download"},{"rel":"org","href":"/orgs/disisto"},{"rel":"images","href":"/dashboards/13699/images"},{"rel":"thumbnails","href":"/dashboards/13699/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13700,"status":1,"statusCode":"active","orgId":329777,"orgSlug":"disisto","orgName":"disisto","slug":"tado-dashboard-fahrenheit","downloads":426,"revisionId":19997,"revision":1,"name":"tado° (Fahrenheit)","description":"Grafana Dashboard for Prometheus eko/tado-exporter that shows the temperature setting, current temperature, humidity and activity for all rooms. A detailed view is shown based on the selected room.","readme":"Grafana Dashboard for Prometheus [`eko/tado-exporter`](https://github.com/eko/tado-exporter) that shows the temperature setting, current temperature, humidity and activity for all rooms equipped with tado° Smart Radiator Thermostat and/or Temperature Sensor.\n\nThis dashboard shows all values (unit symbol  and thresholds) in Fahrenheit. If you prefer to see your results in Celsius please use this dashboard:\n [https://grafana.com/grafana/dashboards/`13699`](https://grafana.com/grafana/dashboards/137699)\n\nFor detailed informations, please visit:\n[`disisto/grafana-dashboard-for-prometheus-tado-exporter`](https://github.com/disisto/grafana-dashboard-for-prometheus-tado-exporter)\n\n---\n\n![alt text](https://raw.githubusercontent.com/disisto/grafana-dashboard-for-prometheus-tado-exporter/main/img/grafana_dashboard_for_prometheus_tado_exporter.png \"Grafana dashboard for Prometheus tado-exporter\")\n\n\n\n\n---\nThis project is not affiliated with tado°.\nAll mentioned trademarks are the property of their respective owners.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-01-09T10:01:42.000Z","updatedAt":"2021-01-09T16:02:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13700"},{"rel":"revisions","href":"/dashboards/13700/revisions"},{"rel":"revision","href":"/dashboards/13700/revisions/1"},{"rel":"download","href":"/dashboards/13700/revisions/1/download"},{"rel":"org","href":"/orgs/disisto"},{"rel":"images","href":"/dashboards/13700/images"},{"rel":"thumbnails","href":"/dashboards/13700/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13847,"status":1,"statusCode":"active","orgId":461749,"orgSlug":"iamtheloki","orgName":"IamTheLoki","slug":"tado-dashboard","downloads":587,"revisionId":35342,"revision":3,"name":"tado° Dashboard","description":"Grafana Dashboard for Prometheus eko/tado-exporter that shows the temperature setting, current temperature, humidity and activity for all rooms. A detailed view is shown based on the selected room.\r\n\r\nUsing this exporter: https://github.com/IamTheLoki/tado-exporter","readme":"Grafana Dashboard for Prometheus IamTheLoki/tado-exporter that shows the temperature setting, current temperature, humidity and activity for all rooms. A detailed view is shown based on the selected room.\r\n\r\nUsing this exporter: https://github.com/IamTheLoki/tado-exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB, Prometheus","privacy":"public","createdAt":"2021-02-07T16:34:45.000Z","updatedAt":"2025-03-27T21:01:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13847"},{"rel":"revisions","href":"/dashboards/13847/revisions"},{"rel":"revision","href":"/dashboards/13847/revisions/3"},{"rel":"download","href":"/dashboards/13847/revisions/3/download"},{"rel":"org","href":"/orgs/iamtheloki"},{"rel":"images","href":"/dashboards/13847/images"},{"rel":"thumbnails","href":"/dashboards/13847/thumbnails"}],"datasourceSlugs":["influxdb","prometheus"]},{"id":24369,"status":1,"statusCode":"active","orgId":791165,"orgSlug":"alessioabbadati","orgName":"alessioabbadati","slug":"tado-dashboard","downloads":56,"revisionId":38976,"revision":1,"name":"tado° Dashboard","description":"Grafana Dashboard for Prometheus eko/tado-exporter that shows the temperature setting, current temperature, humidity and activity for all rooms. A detailed view is shown based on the selected room.\r\n\r\nUsing this exporter: https://github.com/IamTheLoki/tado-exporter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB, Prometheus","privacy":"public","createdAt":"2025-11-10T17:54:02.000Z","updatedAt":"2025-11-10T17:55:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24369"},{"rel":"revisions","href":"/dashboards/24369/revisions"},{"rel":"revision","href":"/dashboards/24369/revisions/1"},{"rel":"download","href":"/dashboards/24369/revisions/1/download"},{"rel":"org","href":"/orgs/alessioabbadati"},{"rel":"images","href":"/dashboards/24369/images"},{"rel":"thumbnails","href":"/dashboards/24369/thumbnails"}],"datasourceSlugs":["influxdb","prometheus"]},{"id":24622,"status":1,"statusCode":"active","orgId":1629648,"orgSlug":"simogere","orgName":"simogere","slug":"tado-dashboard","downloads":9,"revisionId":39447,"revision":1,"name":"tado° Dashboard","description":"Grafana Dashboard for Prometheus eko/tado-exporter that shows the temperature setting, current temperature, humidity and activity for all rooms. A detailed view is shown based on the selected room.\r\n\r\nUsing this exporter: https://github.com/IamTheLoki/tado-exporter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB, Prometheus","privacy":"public","createdAt":"2025-12-30T10:49:03.000Z","updatedAt":"2025-12-30T10:49:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24622"},{"rel":"revisions","href":"/dashboards/24622/revisions"},{"rel":"revision","href":"/dashboards/24622/revisions/1"},{"rel":"download","href":"/dashboards/24622/revisions/1/download"},{"rel":"org","href":"/orgs/simogere"},{"rel":"images","href":"/dashboards/24622/images"},{"rel":"thumbnails","href":"/dashboards/24622/thumbnails"}],"datasourceSlugs":["influxdb","prometheus"]},{"id":16894,"status":1,"statusCode":"active","orgId":706603,"orgSlug":"florianprivatestorage","orgName":"florianprivatestorage","slug":"tahoe-lafs","downloads":330,"revisionId":33877,"revision":2,"name":"Tahoe-LAFS","description":"","readme":"Dashboard for the statistics exposed by [Tahoe-LAFS](https://tahoe-lafs.org/), the Least-Authority File Store:  a Free and Open decentralized cloud storage system.\r\n\r\nSee [https://tahoe-lafs.readthedocs.io/en/latest/stats.html](https://tahoe-lafs.readthedocs.io/en/latest/stats.html) for documentation on the available metrics.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2022-09-08T17:32:52.000Z","updatedAt":"2024-08-07T20:39:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16894"},{"rel":"revisions","href":"/dashboards/16894/revisions"},{"rel":"revision","href":"/dashboards/16894/revisions/2"},{"rel":"download","href":"/dashboards/16894/revisions/2/download"},{"rel":"org","href":"/orgs/florianprivatestorage"},{"rel":"images","href":"/dashboards/16894/images"},{"rel":"thumbnails","href":"/dashboards/16894/thumbnails"}]},{"id":24178,"status":1,"statusCode":"active","orgId":299646,"orgSlug":"adinhodovic","orgName":"adinhodovic","slug":"tailscale-machine","downloads":605,"revisionId":40605,"revision":4,"name":"Tailscale / Machine","description":"An overview of tailscaled daemon metrics including inbound/outbound traffic by path, dropped packets by reason, health messages, and per-machine drilldown with DERP vs non-DERP traffic breakdown. The dashboards were generated using [tailscale-mixin](https://github.com/adinhodovic/tailscale-exporter/tree/main/tailscale-mixin). Open issues and create feature requests in the repository.","readme":"A dashboard that gives an overview of Tailscale Machine daemon metrics. The dashboards were generated using [tailscale-mixin](https://github.com/adinhodovic/tailscale-exporter/tree/main/tailscale-mixin). Open issues and create feature requests in the repository.\r\n\r\nThese depend on adding a custom `tailscale_machine` label to your relabeling configs.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2025-09-30T20:05:46.000Z","updatedAt":"2026-04-27T17:42:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24178"},{"rel":"revisions","href":"/dashboards/24178/revisions"},{"rel":"revision","href":"/dashboards/24178/revisions/4"},{"rel":"download","href":"/dashboards/24178/revisions/4/download"},{"rel":"org","href":"/orgs/adinhodovic"},{"rel":"images","href":"/dashboards/24178/images"},{"rel":"thumbnails","href":"/dashboards/24178/thumbnails"}]},{"id":24177,"status":1,"statusCode":"active","orgId":299646,"orgSlug":"adinhodovic","orgName":"adinhodovic","slug":"tailscale-overview","downloads":428,"revisionId":40699,"revision":5,"name":"Tailscale / Overview","description":"An overview of Tailscale API metrics including tailnet settings, devices (OS, version, authorization, routes), users (role, status, login state), and auth keys. The dashboards were generated using [tailscale-mixin](https://github.com/adinhodovic/tailscale-exporter/tree/main/tailscale-mixin). Open issues and create feature requests in the repository.","readme":"A dashboard that gives an overview of Tailscale API metrics. The dashboards were generated using [tailscale-mixin](https://github.com/adinhodovic/tailscale-exporter/tree/main/tailscale-mixin). Open issues and create feature requests in the repository.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2025-09-30T20:02:18.000Z","updatedAt":"2026-05-10T11:40:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24177"},{"rel":"revisions","href":"/dashboards/24177/revisions"},{"rel":"revision","href":"/dashboards/24177/revisions/5"},{"rel":"download","href":"/dashboards/24177/revisions/5/download"},{"rel":"org","href":"/orgs/adinhodovic"},{"rel":"images","href":"/dashboards/24177/images"},{"rel":"thumbnails","href":"/dashboards/24177/thumbnails"}]},{"id":4623,"status":1,"statusCode":"active","orgId":119109,"orgSlug":"nikostsik","orgName":"NIKOS TSIKRIKAS","slug":"goetemp","downloads":380,"revisionId":6189,"revision":1,"name":"take temp","description":"Temperatur und Wetterwarnungen für Göttingen","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"SimpleJson","privacy":"public","createdAt":"2018-02-05T17:02:54.000Z","updatedAt":"2018-02-05T17:04:40.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4623"},{"rel":"revisions","href":"/dashboards/4623/revisions"},{"rel":"revision","href":"/dashboards/4623/revisions/1"},{"rel":"download","href":"/dashboards/4623/revisions/1/download"},{"rel":"org","href":"/orgs/nikostsik"},{"rel":"images","href":"/dashboards/4623/images"},{"rel":"thumbnails","href":"/dashboards/4623/thumbnails"}],"datasourceSlugs":["grafana-simple-json-datasource"]},{"id":25309,"status":1,"statusCode":"active","orgId":909924,"orgSlug":"mapanarelabs","orgName":"mapanarelabs","slug":"talos-logs","downloads":1,"revisionId":40815,"revision":1,"name":"Talos Logs Dashboard","description":"Talos service and kernel logs collected by Vector and stored in Loki.","readme":"# Talos Logs Dashboard\r\n\r\nGrafana dashboard for visualizing **Talos Linux** service and kernel logs collected via **Vector** and stored in **VictoriaLogs**.\r\n\r\n> This dashboard uses the native [VictoriaMetrics Logs datasource](https://grafana.com/grafana/plugins/victoriametrics-logs-datasource/) plugin and **LogsQL** queries. It is **not** compatible with Loki or Grafana's built-in Loki datasource.\r\n\r\n## Requirements\r\n\r\n| Component | Purpose |\r\n|---|---|\r\n| [VictoriaLogs](https://docs.victoriametrics.com/victorialogs/) | Log storage backend |\r\n| [VictoriaMetrics Logs datasource plugin](https://grafana.com/grafana/plugins/victoriametrics-logs-datasource/) | Grafana plugin for querying VictoriaLogs |\r\n| [Vector](https://vector.dev/) | Log collection and forwarding agent |\r\n\r\n## Pipeline architecture\r\n\r\n```\r\nTalos node (TCP :6050)\r\n    └─► Vector agent (DaemonSet)\r\n            └─► Vector aggregator (vector protocol)\r\n                    └─► VictoriaLogs (Elasticsearch ingest API)\r\n                            └─► Grafana (victoriametrics-logs-datasource)\r\n```\r\n\r\n### Vector agent — Talos source\r\n\r\nThe Vector agent runs as a DaemonSet on every node and reads Talos logs from the local TCP socket configured in the Talos machine config:\r\n\r\n```yaml\r\n# talos/patches/global/logging.yaml\r\nmachine:\r\n  logging:\r\n    destinations:\r\n      - endpoint: \"tcp://127.0.0.1:6050/\"\r\n        format: json_lines\r\n        extraTags:\r\n          cluster: main\r\n---\r\napiVersion: v1alpha1\r\nkind: KmsgLogConfig\r\nname: vector\r\nurl: tcp://127.0.0.1:6050/\r\n```\r\n\r\nThe agent parses the JSON log lines, normalizes fields (`msg` → `message`, `talos-level` → `level`, `talos-service` → `service`), drops debug logs, and forwards to the aggregator via the Vector protocol.\r\n\r\n### Vector aggregator — VictoriaLogs sink\r\n\r\nThe aggregator receives logs and ships them to VictoriaLogs using the Elasticsearch ingest API:\r\n\r\n```yaml\r\nsinks:\r\n  talos:\r\n    type: elasticsearch\r\n    endpoints: [\"http://victoria-logs:9428/insert/elasticsearch/\"]\r\n    api_version: v8\r\n    compression: gzip\r\n    query:\r\n      _msg_field: message\r\n      _stream_fields: node,service,stream,cluster,source,level\r\n      _time_field: timestamp\r\n```\r\n\r\nThe `_stream_fields` parameter defines which fields are indexed as stream labels, making them available for efficient LogsQL stream filtering.\r\n\r\n## Stream labels\r\n\r\nEvery Talos log entry is stored with the following stream labels:\r\n\r\n| Label | Example values | Description |\r\n|---|---|---|\r\n| `source` | `talos` | Always `talos` for this pipeline |\r\n| `cluster` | `main` | Cluster name from Talos machine config |\r\n| `node` | `k8s-0`, `k8s-1` | Kubernetes node name |\r\n| `stream` | `service`, `kernel` | Log origin: systemd services or kernel (kmsg) |\r\n| `service` | `kubelet`, `etcd`, `containerd` | Service name (empty for kernel logs) |\r\n| `level` | `info`, `warn`, `error` | Log severity |\r\n\r\n## Panels\r\n\r\n| Panel | Type | Description |\r\n|---|---|---|\r\n| **Talos log volume by node / stream** | Time series | Log rate grouped by node and stream (kernel vs service) |\r\n| **Talos warnings/errors** | Time series | Rate of warn/error/crit logs grouped by node and level |\r\n| **Service logs** | Logs | Raw service logs filtered by node, service, and level |\r\n| **Kernel logs** | Logs | Raw kernel (kmsg) logs filtered by node and level |\r\n| **High-signal warning/error logs** | Logs | All warn+ logs across both streams for quick triage |\r\n\r\n## Template variables\r\n\r\n| Variable | Values | Description |\r\n|---|---|---|\r\n| `node` | `.*`, `k8s-0` … `k8s-N` | Filter by node (regex, `.*` = all) |\r\n| `stream` | `kernel`, `service` | Filter by log origin |\r\n| `service` | `.*`, or specific service name | Filter service logs by systemd unit |\r\n| `level` | `.*`, `info`, `warn`, `error`, `crit` … | Filter by severity |\r\n\r\n> **Note:** The node list in the `node` variable is static. Update it to match your cluster's node names after import.\r\n\r\n## Datasource\r\n\r\nOn import, Grafana will prompt you to map the `VictoriaLogs` input to an installed datasource. Select your VictoriaLogs datasource (type: **VictoriaMetrics Logs**).\r\n\r\nThe dashboard was built and tested against **VictoriaLogs v1.50.0**. The Loki-compatible query API is **not used** — all queries use native LogsQL.\r\n\r\n## LogsQL query examples\r\n\r\n```logql\r\n# All Talos logs from all nodes\r\n_stream:{source=\"talos\"}\r\n\r\n# Only service logs from a specific node\r\n_stream:{source=\"talos\", stream=\"service\", node=\"k8s-0\"}\r\n\r\n# Only warnings and errors\r\n_stream:{source=\"talos\", node=~\"k8s-.*\"} level:~\"warn|error|crit\"\r\n\r\n# Log rate over time per node\r\nsum by (node) (count_over_time(_stream:{source=\"talos\"}[5m]))\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"VictoriaLogs","privacy":"public","createdAt":"2026-05-20T00:17:33.000Z","updatedAt":"2026-05-20T00:20:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25309"},{"rel":"revisions","href":"/dashboards/25309/revisions"},{"rel":"revision","href":"/dashboards/25309/revisions/1"},{"rel":"download","href":"/dashboards/25309/revisions/1/download"},{"rel":"org","href":"/orgs/mapanarelabs"},{"rel":"images","href":"/dashboards/25309/images"},{"rel":"thumbnails","href":"/dashboards/25309/thumbnails"}],"datasourceSlugs":["victoriametrics-logs-datasource"]},{"id":1745,"status":1,"statusCode":"active","orgId":51755,"orgSlug":"tsavasci","orgName":"Tamer Savaşcı","slug":"atop-monitoring","downloads":354,"revisionId":2333,"revision":1,"name":"Tamer deneme","description":"Dashboard to visualize performance counters built from metrics extracted from atop and aggregated through home-made 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https://github.com/taosdata/taoskeeper to check how to monitor TDengine with Prometheus + Grafana stack.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-10-28T18:07:42.000Z","updatedAt":"2022-06-01T01:00:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15164"},{"rel":"revisions","href":"/dashboards/15164/revisions"},{"rel":"revision","href":"/dashboards/15164/revisions/5"},{"rel":"download","href":"/dashboards/15164/revisions/5/download"},{"rel":"org","href":"/orgs/tdengine"},{"rel":"images","href":"/dashboards/15164/images"},{"rel":"thumbnails","href":"/dashboards/15164/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18587,"status":1,"statusCode":"active","orgId":550907,"orgSlug":"tdengine","orgName":"TDengine","slug":"taoskeeper-prometheus-dashboard-for-3-x","downloads":1812,"revisionId":29981,"revision":6,"name":"TaosKeeper Prometheus Dashboard for 3.x","description":"Metrics display for TDengine database for 3.x","readme":"Please reference to [document](https://docs.taosdata.com/third-party/prometheus/)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-04-23T07:13:25.000Z","updatedAt":"2023-09-12T07:59:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18587"},{"rel":"revisions","href":"/dashboards/18587/revisions"},{"rel":"revision","href":"/dashboards/18587/revisions/6"},{"rel":"download","href":"/dashboards/18587/revisions/6/download"},{"rel":"org","href":"/orgs/tdengine"},{"rel":"images","href":"/dashboards/18587/images"},{"rel":"thumbnails","href":"/dashboards/18587/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21520,"status":1,"statusCode":"active","orgId":1173065,"orgSlug":"bs110108","orgName":"bs110108","slug":"taoskeeper-prometheus-dashboard-for-3-x","downloads":254,"revisionId":33581,"revision":1,"name":"TaosKeeper Prometheus Dashboard for 3.x","description":"Metrics display for TDengine database for 3.x","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-07-15T09:17:21.000Z","updatedAt":"2024-07-15T09:29:13.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21520"},{"rel":"revisions","href":"/dashboards/21520/revisions"},{"rel":"revision","href":"/dashboards/21520/revisions/1"},{"rel":"download","href":"/dashboards/21520/revisions/1/download"},{"rel":"org","href":"/orgs/bs110108"},{"rel":"images","href":"/dashboards/21520/images"},{"rel":"thumbnails","href":"/dashboards/21520/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21546,"status":1,"statusCode":"active","orgId":1173065,"orgSlug":"bs110108","orgName":"bs110108","slug":"taoskeeper-prometheus-dashboard-for-3-x","downloads":302,"revisionId":33629,"revision":1,"name":"TaosKeeper Prometheus Dashboard for 3.x","description":"Metrics display for TDengine database for 3.x","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-07-18T08:24:02.000Z","updatedAt":"2024-07-18T08:24:25.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21546"},{"rel":"revisions","href":"/dashboards/21546/revisions"},{"rel":"revision","href":"/dashboards/21546/revisions/1"},{"rel":"download","href":"/dashboards/21546/revisions/1/download"},{"rel":"org","href":"/orgs/bs110108"},{"rel":"images","href":"/dashboards/21546/images"},{"rel":"thumbnails","href":"/dashboards/21546/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17216,"status":1,"statusCode":"active","orgId":728510,"orgSlug":"mirorucka","orgName":"mirorucka","slug":"tapo-smart-plug-monitoring","downloads":333,"revisionId":26512,"revision":2,"name":"Tapo smart plug monitoring","description":"Smart Plug metrics for TP-Link Tapo P110 Energy Monitoring \r\n\r\nDashboard has: \r\n\r\nenergy usage, current power consumption, wifi signal and state\r\n\r\nMore information: https://github.com/miroRucka/tapo-smartplug","readme":"https://github.com/miroRucka/tapo-smartplug","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-10-18T17:25:31.000Z","updatedAt":"2022-10-23T18:50:14.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17216"},{"rel":"revisions","href":"/dashboards/17216/revisions"},{"rel":"revision","href":"/dashboards/17216/revisions/2"},{"rel":"download","href":"/dashboards/17216/revisions/2/download"},{"rel":"org","href":"/orgs/mirorucka"},{"rel":"images","href":"/dashboards/17216/images"},{"rel":"thumbnails","href":"/dashboards/17216/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12341,"status":1,"statusCode":"active","orgId":385111,"orgSlug":"kokhan","orgName":"kokhan","slug":"tarantool","downloads":313,"revisionId":17643,"revision":1,"name":"tarantool","description":"Simple dashboard for tarantool","readme":"Simple dashboard for tarantool","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-05-21T17:31:37.000Z","updatedAt":"2020-05-21T17:33:02.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12341"},{"rel":"revisions","href":"/dashboards/12341/revisions"},{"rel":"revision","href":"/dashboards/12341/revisions/1"},{"rel":"download","href":"/dashboards/12341/revisions/1/download"},{"rel":"org","href":"/orgs/kokhan"},{"rel":"images","href":"/dashboards/12341/images"},{"rel":"thumbnails","href":"/dashboards/12341/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21474,"status":1,"statusCode":"active","orgId":359506,"orgSlug":"differentialorange","orgName":"tarantool","slug":"tarantool-3-dashboard","downloads":1363,"revisionId":38794,"revision":6,"name":"Tarantool 3 dashboard","description":"Dashboard for Tarantool 3 application and database server monitoring, based on grafonnet library.","readme":"# About project\r\nThis is the dashboard for Tarantool 3 applications.\r\n\r\nThis dashboard is based on [grafonnet](https://github.com/grafana/grafonnet-lib) library. Sources are available in project's [GitHub page](https://github.com/tarantool/grafana-dashboard).\r\n\r\n# Configuration\r\nThe dashboard is designed to work with *Tarantool* + *Prometheus* + *Grafana* cluster.\r\n\r\n## Tarantool configuration\r\n\r\nThe dashboard is designed to work with Tarantool [__metrics__](https://github.com/tarantool/metrics) module, which is a part of Tarantool 3 core binary. Make sure you have an _alias_ label for each instance (set by default if configuration is used), so metrics will be splitted and displayed correctly.\r\n\r\nEach instance must be configured to have a *prometheus* metrics endpoint for Prometheus (refer to documentation [page](https://www.tarantool.io/en/doc/latest/book/monitoring/getting_started/#using-the-metrics-module) for instructions). For HTTP panels, HTTP routing middleware with summary collector must be enabled. (See more on HTTP middleware in metrics [documentation](https://www.tarantool.io/en/doc/latest/book/monitoring/api_reference/#collecting-http-requests-latency-statistics).)\r\n\r\nTo support [__CRUD__](https://github.com/tarantool/crud) statistics, install CRUD 0.11.1 or newer. Use CRUD configuration to enable statistics collect with latency quantiles.\r\n\r\nTo support [__expirationd__](https://github.com/tarantool/expirationd) statistics, install expirationd 1.2.0 or newer. Use expirationd configuration to enable statistics export.\r\n\r\n# Dashboard\r\nMetrics used in dashboard are based on Tarantool [metrics](https://github.com/tarantool/metrics) module.\r\nTime series are grouped by *alias* parameter, so you can use this dashboard to monitor a cluster of Tarantool instances.\r\n\r\nDashboard contains the following sections:\r\n* Cluster overview\r\n* Replication overview\r\n* Tarantool HTTP statistics\r\n* Tarantool network activity\r\n* Tarantool memtx allocation overview\r\n* Tarantool MVCC overview\r\n* Tarantool vinyl statistics\r\n* Tarantool CPU statistics\r\n* Tarantool runtime overview\r\n* Tarantool LuaJit statistics\r\n* Tarantool operations statistics\r\n* CRUD module statistics\r\n* expirationd module statistics\r\n\r\n## Cluster overview\r\nContains several cluster overview panels, providing some aggregated info on cluster instances health, overall load and memory stats. Also contains panels on [configuration status](https://www.tarantool.io/en/doc/latest/reference/reference_lua/config/#lua-function.config.info) with alerts, read only status and election info.\r\n\r\n## Replication overview\r\nContains info about replication lag and status, synchronous queue statistics.\r\n\r\n## Tarantool HTTP statistics\r\nOverview of processed HTTP requests on Tarantool's side, grouped by method, path and response code. There are two lines of panels: one on rps and the other on 99th percentile of latency.\r\n\r\n## Tarantool network activity\r\nOverview of instances network activity. Displays input and output data load, as well as network connections, detailed requests stats and memory consumption.\r\n\r\n## Tarantool memtx allocation overview\r\nOverview of Tarantool memtx memory allocation (tuples and indexes). Contains short instruction on memory allocation monitoring. You can read more about *slab* [here](https://www.tarantool.io/en/doc/latest/reference/reference_lua/box_slab/#lua-function.box.slab.info).\r\n\r\n## Tarantool MVCC overview\r\nContains statistics of Tarantool memtx engine transactions manager.\r\n\r\n## Tarantool vinyl statistics\r\nOverview of Tarantool vinyl memory and disk allocation, vinyl scheduler process and transaction statistics. You can read more about *vinyl engine* [here](https://www.tarantool.io/en/doc/latest/reference/reference_lua/box_slab/#lua-function.box.slab.info).\r\n\r\n## Tarantool CPU statistics\r\nContains CPU process time statistics for each instance.\r\n\r\n## Tarantool runtime overview\r\nMetrics related to runtime. Contains Lua and transaction memory panels, fiber statistics panels and event loop panel.\r\n\r\n## Tarantool LuaJit statistics\r\nDetailed Lua runtime overview. Contains panels about objects allocation and garbage collect, memory consumption and LuaJit traces info.\r\n\r\n## Tarantool operations statistics\r\nOverview of operations on Tarantool spaces (select, update, etc.) aggregated over all Tarantool spaces, as well as other operations activity (eval, call, auth, errors and SQL calls).\r\n\r\n## CRUD module statistics\r\nOverview of [__CRUD__](https://github.com/tarantool/crud) module operations (crud.insert, crud.select, etc) separated by operation, cluster space and execution status. Contains RPS graphs, latency graphs and graphs with SELECT/PAIRS operations detailed info.\r\n\r\n## expirationd module statistics\r\nOverview of [__expirationd__](https://github.com/tarantool/expirationd) module jobs: tuples statistics, restarts count and working time.\r\n\r\n# Contributing\r\nProject is open-sourced, so you can freely file an issue with suggestion or bug report to our [GitHub page](https://github.com/tarantool/grafana-dashboard).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-07-08T14:26:14.000Z","updatedAt":"2025-10-28T12:57:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21474"},{"rel":"revisions","href":"/dashboards/21474/revisions"},{"rel":"revision","href":"/dashboards/21474/revisions/6"},{"rel":"download","href":"/dashboards/21474/revisions/6/download"},{"rel":"org","href":"/orgs/differentialorange"},{"rel":"images","href":"/dashboards/21474/images"},{"rel":"thumbnails","href":"/dashboards/21474/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21484,"status":1,"statusCode":"active","orgId":359506,"orgSlug":"differentialorange","orgName":"tarantool","slug":"tarantool-3-dashboard","downloads":1575,"revisionId":38795,"revision":6,"name":"Tarantool 3 dashboard","description":"Dashboard for Tarantool 3 application and database server monitoring, based on grafonnet library.","readme":"# About project\r\nThis is the dashboard for Tarantool 3 applications.\r\n\r\nThis dashboard is based on [grafonnet](https://github.com/grafana/grafonnet-lib) library. Sources are available in project's [GitHub page](https://github.com/tarantool/grafana-dashboard).\r\n\r\n# Configuration\r\nThe dashboard is designed to work with *Tarantool* + *Telegraf* + *InfluxDB* + *Grafana* cluster.\r\n\r\n## Tarantool configuration\r\n\r\nThe dashboard is designed to work with Tarantool [__metrics__](https://github.com/tarantool/metrics) module, which is a part of Tarantool 3 core binary. Make sure you have an _alias_ label for each instance (set by default if configuration is used), so metrics will be splitted and displayed correctly.\r\n\r\nEach instance must be configured to have a *json* metrics endpoint for Telegraf (refer to documentation [page](https://www.tarantool.io/en/doc/latest/book/monitoring/getting_started/#using-the-metrics-module) for instructions). For HTTP panels, HTTP routing middleware with summary collector must be enabled. (See more on HTTP middleware in metrics [documentation](https://www.tarantool.io/en/doc/latest/book/monitoring/api_reference/#collecting-http-requests-latency-statistics).)\r\n\r\nTo support [__CRUD__](https://github.com/tarantool/crud) statistics, install CRUD 0.11.1 or newer. Use CRUD configuration to enable statistics collect with latency quantiles.\r\n\r\nTo support [__expirationd__](https://github.com/tarantool/expirationd) statistics, install expirationd 1.2.0 or newer. Use expirationd configuration to enable statistics export.\r\n\r\n## Telegraf configuration\r\n\r\nTelegraf must be configured to have `data_format` set as *\"json\"* and `fieldpass` list set as *[\"value\"]*; `tag_keys` list must contain *\"metric_name\"*, *\"label_pairs_alias\"*, *\"label_pairs_quantile\"*, *\"label_pairs_path\"*, *\"label_pairs_method\"*, *\"label_pairs_status\"*, *\"label_pairs_operation\"*, *\"label_pairs_level\"*, *\"label_pairs_id\"*, *\"label_pairs_engine\"*, *\"label_pairs_name\"*, *\"label_pairs_index_name\"*, *\"label_pairs_delta\"*, *\"label_pairs_stream\"* values. You can also check out example config on [GitHub](https://github.com/tarantool/grafana-dashboard/blob/master/example_cluster/telegraf/telegraf.conf).\r\n\r\n# Dashboard\r\nMetrics used in dashboard are based on Tarantool [metrics](https://github.com/tarantool/metrics) module.\r\nTime series are grouped by *alias* parameter, so you can use this dashboard to monitor a cluster of Tarantool instances.\r\n\r\nDashboard contains the following sections:\r\n* Cluster overview\r\n* Replication overview\r\n* Tarantool HTTP statistics\r\n* Tarantool network activity\r\n* Tarantool memtx allocation overview\r\n* Tarantool MVCC overview\r\n* Tarantool vinyl statistics\r\n* Tarantool CPU statistics\r\n* Tarantool runtime overview\r\n* Tarantool LuaJit statistics\r\n* Tarantool operations statistics\r\n* CRUD module statistics\r\n* expirationd module statistics\r\n\r\n## Cluster overview\r\nContains panels on [configuration status](https://www.tarantool.io/en/doc/latest/reference/reference_lua/config/#lua-function.config.info) with alerts, read only status and election info.\r\n\r\n## Replication overview\r\nContains info about replication lag and status, synchronous queue statistics.\r\n\r\n## Tarantool HTTP statistics\r\nOverview of processed HTTP requests on Tarantool's side, grouped by method, path and response code. There are two lines of panels: one on rps and the other on 99th percentile of latency.\r\n\r\n## Tarantool network activity\r\nOverview of instances network activity. Displays input and output data load, as well as network connections, detailed requests stats and memory consumption.\r\n\r\n## Tarantool memtx allocation overview\r\nOverview of Tarantool memtx memory allocation (tuples and indexes). Contains short instruction on memory allocation monitoring. You can read more about *slab* [here](https://www.tarantool.io/en/doc/latest/reference/reference_lua/box_slab/#lua-function.box.slab.info).\r\n\r\n## Tarantool MVCC overview\r\nContains statistics of Tarantool memtx engine transactions manager.\r\n\r\n## Tarantool vinyl statistics\r\nOverview of Tarantool vinyl memory and disk allocation, vinyl scheduler process and transaction statistics. You can read more about *vinyl engine* [here](https://www.tarantool.io/en/doc/latest/reference/reference_lua/box_slab/#lua-function.box.slab.info).\r\n\r\n## Tarantool CPU statistics\r\nContains CPU process time statistics for each instance.\r\n\r\n## Tarantool runtime overview\r\nMetrics related to runtime. Contains Lua and transaction memory panels, fiber statistics panels and event loop panel.\r\n\r\n## Tarantool LuaJit statistics\r\nDetailed Lua runtime overview. Contains panels about objects allocation and garbage collect, memory consumption and LuaJit traces info.\r\n\r\n## Tarantool operations statistics\r\nOverview of operations on Tarantool spaces (select, update, etc.) aggregated over all Tarantool spaces, as well as other operations activity (eval, call, auth, errors and SQL calls).\r\n\r\n## CRUD module statistics\r\nOverview of [__CRUD__](https://github.com/tarantool/crud) module operations (crud.insert, crud.select, etc) separated by operation, cluster space and execution status. Contains RPS graphs, latency graphs and graphs with SELECT/PAIRS operations detailed info.\r\n\r\n## expirationd module statistics\r\nOverview of [__expirationd__](https://github.com/tarantool/expirationd) module jobs: tuples statistics, restarts count and working time.\r\n\r\n# Contributing\r\nProject is open-sourced, so you can freely file an issue with suggestion or bug report to our [GitHub page](https://github.com/tarantool/grafana-dashboard).\r\n","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-07-09T08:01:46.000Z","updatedAt":"2025-10-28T13:00:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21484"},{"rel":"revisions","href":"/dashboards/21484/revisions"},{"rel":"revision","href":"/dashboards/21484/revisions/6"},{"rel":"download","href":"/dashboards/21484/revisions/6/download"},{"rel":"org","href":"/orgs/differentialorange"},{"rel":"images","href":"/dashboards/21484/images"},{"rel":"thumbnails","href":"/dashboards/21484/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13054,"status":1,"statusCode":"active","orgId":359506,"orgSlug":"differentialorange","orgName":"tarantool","slug":"tarantool-cartridge-dashboard","downloads":8165,"revisionId":38796,"revision":22,"name":"Tarantool Cartridge dashboard","description":"Dashboard for Tarantool Cartridge and Tarantool 1.10—2.x application and database server monitoring, based on grafonnet library.","readme":"# About project\r\nThis is the dashboard for Tarantool Cartridge and Tarantool 1.10—2.x applications.\r\n\r\nThis dashboard is based on [grafonnet](https://github.com/grafana/grafonnet-lib) library. Sources are available in project's [GitHub page](https://github.com/tarantool/grafana-dashboard).\r\n\r\n# Configuration\r\nThe dashboard is designed to work with *Tarantool* + *Prometheus* + *Grafana* cluster.\r\n\r\n## Tarantool configuration\r\n\r\nThe dashboard is designed to work with Tarantool [__metrics__](https://github.com/tarantool/metrics) module (v0.15.1 or newer is needed for complete experience). It is recommended to use _metrics_ role (refer to _cartridge.roles.metrics_ role [page](https://www.tarantool.io/en/doc/latest/book/monitoring/getting_started/#cartridge-role) for instructions). Be sure to set _alias_ for every Tarantool instance (e.g. by environment variable _TARANTOOL_ALIAS_) so metrics will be splitted and displayed correctly.\r\n\r\nCartridge must be configured to have a *prometheus* metrics endpoint for Prometheus (refer to _cartridge.roles.metrics_ role [page](https://www.tarantool.io/en/doc/latest/book/monitoring/getting_started/#cartridge-role) for instructions). For HTTP panels, HTTP routing middleware with summary collector must be enabled. (See more on HTTP middleware in metrics [documentation](https://www.tarantool.io/en/doc/latest/book/monitoring/api_reference/#collecting-http-requests-latency-statistics) and Cartridge role [example](https://github.com/tarantool/grafana-dashboard/blob/master/example/project/app/roles/custom.lua).)\r\n\r\nTo support [__CRUD__](https://github.com/tarantool/crud) statistics, install CRUD 0.11.1 or newer. Call `crud.cfg{stats = true,  stats_driver='metrics', stats_quantiles=true}` on router to enable CRUD statistics collect with latency quantiles.\r\n\r\nTo support [__expirationd__](https://github.com/tarantool/expirationd) statistics, install expirationd 1.2.0 or newer. Call `expirationd.cfg{metrics = true}` on instance to enable statistics export.\r\n\r\n# Dashboard\r\nMetrics used in dashboard are based on Tarantool [metrics](https://github.com/tarantool/metrics) module.\r\nTime series are grouped by *alias* parameter, so you can use this dashboard to monitor a cluster of Tarantool instances.\r\n\r\nDashboard contains the following sections:\r\n* Cluster overview\r\n* Replication overview\r\n* Tarantool HTTP statistics\r\n* Tarantool network activity\r\n* Tarantool memtx allocation overview\r\n* Tarantool MVCC overview\r\n* Tarantool vinyl statistics\r\n* Tarantool CPU statistics\r\n* Tarantool runtime overview\r\n* Tarantool LuaJit statistics\r\n* Tarantool operations statistics\r\n* CRUD module statistics\r\n* expirationd module statistics\r\n\r\n## Cluster overview\r\nContains several cluster overview panels, providing some aggregated info on cluster instances health, overall load and memory stats. Also contains panels on [Cartridge issues](https://www.tarantool.io/en/doc/latest/book/cartridge/cartridge_api/modules/cartridge.issues/) count, read only status and switchover triggers, election info.\r\n\r\n## Replication overview\r\nContains info about replication lag and status, clock delta and synchronous queue statistics.\r\n\r\n## Tarantool HTTP statistics\r\nOverview of processed HTTP requests on Tarantool's side, grouped by method, path and response code. There are two lines of panels: one on rps and the other on 99th percentile of latency.\r\n\r\n## Tarantool network activity\r\nOverview of instances network activity. Displays input and output data load, as well as network connections, detailed requests stats and memory consumption.\r\n\r\n## Tarantool memtx allocation overview\r\nOverview of Tarantool memtx memory allocation (tuples and indexes). Contains short instruction on memory allocation monitoring. You can read more about *slab* [here](https://www.tarantool.io/en/doc/latest/reference/reference_lua/box_slab/#lua-function.box.slab.info).\r\n\r\n## Tarantool MVCC overview\r\nContains statistics of Tarantool memtx engine transactions manager.\r\n\r\n## Tarantool vinyl statistics\r\nOverview of Tarantool vinyl memory and disk allocation, vinyl scheduler process and transaction statistics. You can read more about *vinyl engine* [here](https://www.tarantool.io/en/doc/latest/reference/reference_lua/box_slab/#lua-function.box.slab.info).\r\n\r\n## Tarantool CPU statistics\r\nContains CPU process time statistics for each instance.\r\n\r\n## Tarantool runtime overview\r\nMetrics related to runtime. Contains Lua and transaction memory panels, fiber statistics panels and event loop panel.\r\n\r\n## Tarantool LuaJit statistics\r\nDetailed Lua runtime overview. Contains panels about objects allocation and garbage collect, memory consumption and LuaJit traces info.\r\n\r\n## Tarantool operations statistics\r\nOverview of operations on Tarantool spaces (select, update, etc.) aggregated over all Tarantool spaces, as well as other operations activity (eval, call, auth, errors and SQL calls).\r\n\r\n## CRUD module statistics\r\nOverview of [__CRUD__](https://github.com/tarantool/crud) module operations (crud.insert, crud.select, etc) separated by operation, cluster space and execution status. Contains RPS graphs, latency graphs and graphs with SELECT/PAIRS operations detailed info.\r\n\r\n## expirationd module statistics\r\nOverview of [__expirationd__](https://github.com/tarantool/expirationd) module jobs: tuples statistics, restarts count and working time.\r\n\r\n# Contributing\r\nProject is open-sourced, so you can freely file an issue with suggestion or bug report to our [GitHub page](https://github.com/tarantool/grafana-dashboard).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-09-23T08:08:47.000Z","updatedAt":"2025-10-28T13:03:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13054"},{"rel":"revisions","href":"/dashboards/13054/revisions"},{"rel":"revision","href":"/dashboards/13054/revisions/22"},{"rel":"download","href":"/dashboards/13054/revisions/22/download"},{"rel":"org","href":"/orgs/differentialorange"},{"rel":"images","href":"/dashboards/13054/images"},{"rel":"thumbnails","href":"/dashboards/13054/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12567,"status":1,"statusCode":"active","orgId":359506,"orgSlug":"differentialorange","orgName":"tarantool","slug":"tarantool-cartridge-dashboard","downloads":4691,"revisionId":38797,"revision":22,"name":"Tarantool Cartridge dashboard","description":"Dashboard for Tarantool Cartridge and Tarantool 1.10—2.x application and database server monitoring, based on grafonnet library.","readme":"# About project\r\nThis is the dashboard for Tarantool Cartridge and Tarantool 1.10—2.x applications.\r\n\r\nThis dashboard is based on [grafonnet](https://github.com/grafana/grafonnet-lib) library. Sources are available in project's [GitHub page](https://github.com/tarantool/grafana-dashboard).\r\n\r\n# Configuration\r\nThe dashboard is designed to work with *Tarantool* + *Telegraf* + *InfluxDB* + *Grafana* cluster.\r\n\r\n## Tarantool configuration\r\n\r\nThe dashboard is designed to work with Tarantool [__metrics__](https://github.com/tarantool/metrics) module (v0.15.1 or newer is needed for complete experience). It is recommended to use _metrics_ role (refer to _cartridge.roles.metrics_ role [page](https://www.tarantool.io/en/doc/latest/book/monitoring/getting_started/#cartridge-role) for instructions). Be sure to set _alias_ for every Tarantool instance (e.g. by environment variable _TARANTOOL_ALIAS_) so metrics will be splitted and displayed correctly.\r\n\r\nCartridge must be configured to have a *json* metrics endpoint for Telegraf (refer to _cartridge.roles.metrics_ role [page](https://www.tarantool.io/en/doc/latest/book/monitoring/getting_started/#cartridge-role) for instructions). For HTTP panels, HTTP routing middleware with summary collector must be enabled. (See more on HTTP middleware in metrics [documentation](https://www.tarantool.io/en/doc/latest/book/monitoring/api_reference/#collecting-http-requests-latency-statistics) and Cartridge role [example](https://github.com/tarantool/grafana-dashboard/blob/master/example/project/app/roles/custom.lua).)\r\n\r\nTo support [__CRUD__](https://github.com/tarantool/crud) statistics, install CRUD 0.11.1 or newer. Call `crud.cfg{stats = true,  stats_driver='metrics', stats_quantiles=true}` on router to enable CRUD statistics collect with latency quantiles.\r\n\r\nTo support [__expirationd__](https://github.com/tarantool/expirationd) statistics, install expirationd 1.2.0 or newer. Call `expirationd.cfg{metrics = true}` on instance to enable statistics export.\r\n\r\n## Telegraf configuration\r\n\r\nTelegraf must be configured to have `data_format` set as *\"json\"* and `fieldpass` list set as *[\"value\"]*; `tag_keys` list must contain *\"metric_name\"*, *\"label_pairs_alias\"*, *\"label_pairs_quantile\"*, *\"label_pairs_path\"*, *\"label_pairs_method\"*, *\"label_pairs_status\"*, *\"label_pairs_operation\"*, *\"label_pairs_level\"*, *\"label_pairs_id\"*, *\"label_pairs_engine\"*, *\"label_pairs_name\"*, *\"label_pairs_index_name\"*, *\"label_pairs_delta\"*, *\"label_pairs_stream\"* values. You can also check out example config on [GitHub](https://github.com/tarantool/grafana-dashboard/blob/master/example_cluster/telegraf/telegraf.conf).\r\n\r\n# Dashboard\r\nMetrics used in dashboard are based on Tarantool [metrics](https://github.com/tarantool/metrics) module.\r\nTime series are grouped by *alias* parameter, so you can use this dashboard to monitor a cluster of Tarantool instances.\r\n\r\nDashboard contains the following sections:\r\n* Cluster overview\r\n* Replication overview\r\n* Tarantool HTTP statistics\r\n* Tarantool network activity\r\n* Tarantool memtx allocation overview\r\n* Tarantool MVCC overview\r\n* Tarantool vinyl statistics\r\n* Tarantool CPU statistics\r\n* Tarantool runtime overview\r\n* Tarantool LuaJit statistics\r\n* Tarantool operations statistics\r\n* CRUD module statistics\r\n* expirationd module statistics\r\n\r\n## Cluster overview\r\nContains panels on [Cartridge issues](https://www.tarantool.io/en/doc/latest/book/cartridge/cartridge_api/modules/cartridge.issues/) count, read only status and switchover triggers, election info.\r\n\r\n## Replication overview\r\nContains info about replication lag and status, clock delta and synchronous queue statistics.\r\n\r\n## Tarantool HTTP statistics\r\nOverview of processed HTTP requests on Tarantool's side, grouped by method, path and response code. There are two lines of panels: one on rps and the other on 99th percentile of latency.\r\n\r\n## Tarantool network activity\r\nOverview of instances network activity. Displays input and output data load, as well as network connections, detailed requests stats and memory consumption.\r\n\r\n## Tarantool memtx allocation overview\r\nOverview of Tarantool memtx memory allocation (tuples and indexes). Contains short instruction on memory allocation monitoring. You can read more about *slab* [here](https://www.tarantool.io/en/doc/latest/reference/reference_lua/box_slab/#lua-function.box.slab.info).\r\n\r\n## Tarantool MVCC overview\r\nContains statistics of Tarantool memtx engine transactions manager.\r\n\r\n## Tarantool vinyl statistics\r\nOverview of Tarantool vinyl memory and disk allocation, vinyl scheduler process and transaction statistics. You can read more about *vinyl engine* [here](https://www.tarantool.io/en/doc/latest/reference/reference_lua/box_slab/#lua-function.box.slab.info).\r\n\r\n## Tarantool CPU statistics\r\nContains CPU process time statistics for each instance.\r\n\r\n## Tarantool runtime overview\r\nMetrics related to runtime. Contains Lua and transaction memory panels, fiber statistics panels and event loop panel.\r\n\r\n## Tarantool LuaJit statistics\r\nDetailed Lua runtime overview. Contains panels about objects allocation and garbage collect, memory consumption and LuaJit traces info.\r\n\r\n## Tarantool operations statistics\r\nOverview of operations on Tarantool spaces (select, update, etc.) aggregated over all Tarantool spaces, as well as other operations activity (eval, call, auth, errors and SQL calls).\r\n\r\n## CRUD module statistics\r\nOverview of [__CRUD__](https://github.com/tarantool/crud) module operations (crud.insert, crud.select, etc) separated by operation, cluster space and execution status. Contains RPS graphs, latency graphs and graphs with SELECT/PAIRS operations detailed info.\r\n\r\n## expirationd module statistics\r\nOverview of [__expirationd__](https://github.com/tarantool/expirationd) module jobs: tuples statistics, restarts count and working time.\r\n\r\n# Contributing\r\nProject is open-sourced, so you can freely file an issue with suggestion or bug report to our [GitHub page](https://github.com/tarantool/grafana-dashboard).","collectorType":"Telegraf","collectorConfig":"","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-07-02T08:04:21.000Z","updatedAt":"2025-10-28T13:04:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12567"},{"rel":"revisions","href":"/dashboards/12567/revisions"},{"rel":"revision","href":"/dashboards/12567/revisions/22"},{"rel":"download","href":"/dashboards/12567/revisions/22/download"},{"rel":"org","href":"/orgs/differentialorange"},{"rel":"images","href":"/dashboards/12567/images"},{"rel":"thumbnails","href":"/dashboards/12567/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17948,"status":1,"statusCode":"active","orgId":783213,"orgSlug":"hyperloopterm2023","orgName":"hyperloopterm2023","slug":"tarantool-dashboard","downloads":274,"revisionId":27529,"revision":1,"name":"Tarantool dashboard","description":"Dashboard for Tarantool application and database server monitoring, based on grafonnet library.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-01-26T01:03:56.000Z","updatedAt":"2023-01-26T01:05:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17948"},{"rel":"revisions","href":"/dashboards/17948/revisions"},{"rel":"revision","href":"/dashboards/17948/revisions/1"},{"rel":"download","href":"/dashboards/17948/revisions/1/download"},{"rel":"org","href":"/orgs/hyperloopterm2023"},{"rel":"images","href":"/dashboards/17948/images"},{"rel":"thumbnails","href":"/dashboards/17948/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16406,"status":1,"statusCode":"active","orgId":359506,"orgSlug":"differentialorange","orgName":"tarantool","slug":"tarantool-data-grid-dashboard","downloads":3591,"revisionId":38798,"revision":12,"name":"Tarantool Data Grid dashboard","description":"Dashboard for Tarantool Data Grid ver. 2 application monitoring, based on grafonnet library.","readme":"# About project\r\nThis dashboard is based on [grafonnet](https://github.com/grafana/grafonnet-lib) library. Sources are available in project's [GitHub page](https://github.com/tarantool/grafana-dashboard).\r\n\r\n# Configuration\r\nThe dashboard is designed to work with *TDG* + *Prometheus* + *Grafana* cluster.\r\n\r\n## TDG configuration\r\nThe dashboard is designed to work with [Tarantool Data Grid (ver. 2)](https://www.tarantool.io/en/datagrid/) cluster.\r\n\r\nTDG must be configured to have a *prometheus* metrics endpoint for Prometheus (refer to _cartridge.roles.metrics_ role [page](https://www.tarantool.io/en/doc/latest/book/monitoring/getting_started/#cartridge-role) for instructions).\r\n\r\n# Dashboard\r\nMetrics used in dashboard are based on Tarantool [metrics](https://github.com/tarantool/metrics) module and TDG metrics.\r\nTime series are grouped by *alias* parameter, so you can use this dashboard to monitor a cluster of Tarantool instances.\r\n\r\nDashboard contains the following sections:\r\n* Cluster overview\r\n* Replication overview\r\n* Tarantool network activity\r\n* Tarantool memtx allocation overview\r\n* Tarantool MVCC overview\r\n* Tarantool vinyl statistics\r\n* Tarantool CPU statistics\r\n* Tarantool runtime overview\r\n* Tarantool LuaJit statistics\r\n* Tarantool operations statistics\r\n* TDG Kafka common statistics\r\n* TDG Kafka brokers statistics\r\n* TDG Kafka topics statistics\r\n* TDG Kafka consumer statistics\r\n* TDG Kafka producer statistics\r\n* TDG expirationd statistics\r\n* TDG tuples statistics\r\n* TDG file connectors statistics\r\n* TDG GraphQL requests\r\n* TDG IProto requests\r\n* TDG REST API requests\r\n* TDG tasks statistics\r\n\r\n## Cluster overview\r\nContains several cluster overview panels, providing some aggregated info on cluster instances health, overall load and memory stats. Also contains panels on [Cartridge issues](https://www.tarantool.io/en/doc/latest/book/cartridge/cartridge_api/modules/cartridge.issues/) count, read only status and switchover triggers, election info.\r\n\r\n## Replication overview\r\nContains info about replication lag and status, clock delta and synchronous queue statistics.\r\n\r\n## Tarantool network activity\r\nOverview of instances network activity. Displays input and output data load, as well as network connections, detailed requests stats and memory consumption.\r\n\r\n## Tarantool memtx allocation overview\r\nOverview of Tarantool memtx memory allocation (tuples and indexes). Contains short instruction on memory allocation monitoring. You can read more about *slab* [here](https://www.tarantool.io/en/doc/latest/reference/reference_lua/box_slab/#lua-function.box.slab.info).\r\n\r\n## Tarantool MVCC overview\r\nContains statistics of Tarantool memtx engine transactions manager.\r\n\r\n## Tarantool vinyl statistics\r\nOverview of Tarantool vinyl memory and disk allocation, vinyl scheduler process and transaction statistics. You can read more about *vinyl engine* [here](https://www.tarantool.io/en/doc/latest/reference/reference_lua/box_slab/#lua-function.box.slab.info).\r\n\r\n## Tarantool CPU statistics\r\nContains CPU process time statistics for each instance and separate thread load.\r\n\r\n## Tarantool runtime overview\r\nMetrics related to runtime. Contains Lua and transaction memory panels, fiber statistics panels and event loop panel.\r\n\r\n## Tarantool LuaJit statistics\r\nDetailed Lua runtime overview. Contains panels about objects allocation and garbage collect, memory consumption and LuaJit traces info.\r\n\r\n## Tarantool operations statistics\r\nOverview of operations on Tarantool spaces (select, update, etc.) aggregated over all Tarantool spaces, as well as other operations activity (eval, call, auth, errors and SQL calls).\r\n\r\n## TDG Kafka common statistics\r\nTDG Kafka connector common statistics. See [librdkafka \"top-level\" statistics section](https://github.com/edenhill/librdkafka/blob/2aadc45974d32b7c7ff91805588be3fc9951f4ad/STATISTICS.md#top-level) for details.\r\n\r\n## TDG Kafka brokers statistics\r\nTDG Kafka connector brokers statistics. See [librdkafka \"brokers\" statistics section](https://github.com/edenhill/librdkafka/blob/2aadc45974d32b7c7ff91805588be3fc9951f4ad/STATISTICS.md#brokers) for details.\r\n\r\n## TDG Kafka topics statistics\r\nTDG Kafka connector topics statistics. See [librdkafka \"topics\" statistics section](https://github.com/edenhill/librdkafka/blob/2aadc45974d32b7c7ff91805588be3fc9951f4ad/STATISTICS.md#topics) for details.\r\n\r\n## TDG Kafka consumer statistics\r\nTDG Kafka connector consumer statistics. See [librdkafka \"cgrp\" statistics section](https://github.com/edenhill/librdkafka/blob/2aadc45974d32b7c7ff91805588be3fc9951f4ad/STATISTICS.md#cgrp) for details.\r\n\r\n## TDG Kafka producer statistics\r\nTDG Kafka connector producer statistics. See [librdkafka \"eos\" statistics section](https://github.com/edenhill/librdkafka/blob/2aadc45974d32b7c7ff91805588be3fc9951f4ad/STATISTICS.md#eos) for details.\r\n\r\n## TDG expirationd statistics\r\nTDG [expirationd](https://github.com/tarantool/expirationd) module statistics.\r\n\r\n## TDG tuples statistics\r\nTuple find operations statistics.\r\n\r\n## TDG file connectors statistics\r\nFile connectors overall and current process statistics.\r\n\r\n## TDG GraphQL requests\r\nTDG API GraphQL requests statistics.\r\n\r\n## TDG IProto requests\r\nTDG API IProto net.box calls statistics.\r\n\r\n## TDG REST API requests\r\nTDG REST API requests statistics.\r\n\r\n## TDG tasks statistics\r\nTDG tasks, jobs and system tasks statistics.\r\n\r\n# Contributing\r\nProject is open-sourced, so you can freely file an issue with suggestion or bug report to our [GitHub page](https://github.com/tarantool/grafana-dashboard).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-06-08T08:32:42.000Z","updatedAt":"2025-10-28T13:06:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16406"},{"rel":"revisions","href":"/dashboards/16406/revisions"},{"rel":"revision","href":"/dashboards/16406/revisions/12"},{"rel":"download","href":"/dashboards/16406/revisions/12/download"},{"rel":"org","href":"/orgs/differentialorange"},{"rel":"images","href":"/dashboards/16406/images"},{"rel":"thumbnails","href":"/dashboards/16406/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16405,"status":1,"statusCode":"active","orgId":359506,"orgSlug":"differentialorange","orgName":"tarantool","slug":"tarantool-data-grid-dashboard","downloads":3408,"revisionId":38799,"revision":12,"name":"Tarantool Data Grid dashboard","description":"Dashboard for Tarantool Data Grid ver. 2 application monitoring, based on grafonnet library.","readme":"# About project\r\nThis dashboard is based on [grafonnet](https://github.com/grafana/grafonnet-lib) library. Sources are available in project's [GitHub page](https://github.com/tarantool/grafana-dashboard).\r\n\r\n# Configuration\r\nThe dashboard is designed to work with *TDG* + *Telegraf* + *InfluxDB* + *Grafana* cluster.\r\n\r\n## TDG configuration\r\nThe dashboard is designed to work with [Tarantool Data Grid (ver. 2)](https://www.tarantool.io/en/datagrid/) cluster.\r\n\r\nTDG must be configured to have a *json* metrics endpoint for Telegraf (refer to _cartridge.roles.metrics_ role [page](https://www.tarantool.io/en/doc/latest/book/monitoring/getting_started/#cartridge-role) for instructions).\r\n\r\n## Telegraf configuration\r\n\r\nTelegraf must be configured to have `data_format` set as *\"json\"* and `fieldpass` list set as *[\"value\"]*; `tag_keys` list must contain *\"metric_name\"*, *\"label_pairs_alias\"*, *\"label_pairs_quantile\"*, *\"label_pairs_path\"*, *\"label_pairs_method\"*, *\"label_pairs_status\"*, *\"label_pairs_operation\"*, *\"label_pairs_level\"*, *\"label_pairs_id\"*, *\"label_pairs_engine\"*, *\"label_pairs_name\"*, *\"label_pairs_index_name\"*, *\"label_pairs_delta\"*, *\"label_pairs_stream\"*, *\"label_pairs_type\"*, *\"label_pairs_connector_name\"*,  *\"label_pairs_broker_name\"*, *\"label_pairs_topic\"*, *\"label_pairs_request\"*, *\"label_pairs_kind\"*, *\"label_pairs_thread_name\"*, *\"label_pairs_type_name\"*, *\"label_pairs_operation_name\"*, *\"label_pairs_schema\"*, *\"label_pairs_entity\"*, *\"label_pairs_status_code\"* values. You can also check out example config on [GitHub](https://github.com/tarantool/grafana-dashboard/blob/master/example_cluster/telegraf/telegraf.tfg.conf).\r\n\r\n# Dashboard\r\nMetrics used in dashboard are based on Tarantool [metrics](https://github.com/tarantool/metrics) module and TDG metrics.\r\nTime series are grouped by *alias* parameter, so you can use this dashboard to monitor a cluster of Tarantool instances.\r\n\r\nDashboard contains the following sections:\r\n* Cluster overview\r\n* Replication overview\r\n* Tarantool network activity\r\n* Tarantool memtx allocation overview\r\n* Tarantool MVCC overview\r\n* Tarantool vinyl statistics\r\n* Tarantool CPU statistics\r\n* Tarantool runtime overview\r\n* Tarantool LuaJit statistics\r\n* Tarantool operations statistics\r\n* TDG Kafka common statistics\r\n* TDG Kafka brokers statistics\r\n* TDG Kafka topics statistics\r\n* TDG Kafka consumer statistics\r\n* TDG Kafka producer statistics\r\n* TDG expirationd statistics\r\n* TDG tuples statistics\r\n* TDG file connectors statistics\r\n* TDG GraphQL requests\r\n* TDG IProto requests\r\n* TDG REST API requests\r\n* TDG tasks statistics\r\n\r\n## Cluster overview\r\nContains panels on [Cartridge issues](https://www.tarantool.io/en/doc/latest/book/cartridge/cartridge_api/modules/cartridge.issues/) count, read only status and switchover triggers, election info.\r\n\r\n## Replication overview\r\nContains info about replication lag and status, clock delta and synchronous queue statistics.\r\n\r\n## Tarantool network activity\r\nOverview of instances network activity. Displays input and output data load, as well as network connections, detailed requests stats and memory consumption.\r\n\r\n## Tarantool memtx allocation overview\r\nOverview of Tarantool memtx memory allocation (tuples and indexes). Contains short instruction on memory allocation monitoring. You can read more about *slab* [here](https://www.tarantool.io/en/doc/latest/reference/reference_lua/box_slab/#lua-function.box.slab.info).\r\n\r\n## Tarantool MVCC overview\r\nContains statistics of Tarantool memtx engine transactions manager.\r\n\r\n## Tarantool vinyl statistics\r\nOverview of Tarantool vinyl memory and disk allocation, vinyl scheduler process and transaction statistics. You can read more about *vinyl engine* [here](https://www.tarantool.io/en/doc/latest/reference/reference_lua/box_slab/#lua-function.box.slab.info).\r\n\r\n## Tarantool CPU statistics\r\nContains CPU process time statistics for each instance and separate thread load.\r\n\r\n## Tarantool runtime overview\r\nMetrics related to runtime. Contains Lua and transaction memory panels, fiber statistics panels and event loop panel.\r\n\r\n## Tarantool LuaJit statistics\r\nDetailed Lua runtime overview. Contains panels about objects allocation and garbage collect, memory consumption and LuaJit traces info.\r\n\r\n## Tarantool operations statistics\r\nOverview of operations on Tarantool spaces (select, update, etc.) aggregated over all Tarantool spaces, as well as other operations activity (eval, call, auth, errors and SQL calls).\r\n\r\n## TDG Kafka common statistics\r\nTDG Kafka connector common statistics. See [librdkafka \"top-level\" statistics section](https://github.com/edenhill/librdkafka/blob/2aadc45974d32b7c7ff91805588be3fc9951f4ad/STATISTICS.md#top-level) for details.\r\n\r\n## TDG Kafka brokers statistics\r\nTDG Kafka connector brokers statistics. See [librdkafka \"brokers\" statistics section](https://github.com/edenhill/librdkafka/blob/2aadc45974d32b7c7ff91805588be3fc9951f4ad/STATISTICS.md#brokers) for details.\r\n\r\n## TDG Kafka topics statistics\r\nTDG Kafka connector topics statistics. See [librdkafka \"topics\" statistics section](https://github.com/edenhill/librdkafka/blob/2aadc45974d32b7c7ff91805588be3fc9951f4ad/STATISTICS.md#topics) for details.\r\n\r\n## TDG Kafka consumer statistics\r\nTDG Kafka connector consumer statistics. See [librdkafka \"cgrp\" statistics section](https://github.com/edenhill/librdkafka/blob/2aadc45974d32b7c7ff91805588be3fc9951f4ad/STATISTICS.md#cgrp) for details.\r\n\r\n## TDG Kafka producer statistics\r\nTDG Kafka connector producer statistics. See [librdkafka \"eos\" statistics section](https://github.com/edenhill/librdkafka/blob/2aadc45974d32b7c7ff91805588be3fc9951f4ad/STATISTICS.md#eos) for details.\r\n\r\n## TDG expirationd statistics\r\nTDG [expirationd](https://github.com/tarantool/expirationd) module statistics.\r\n\r\n## TDG tuples statistics\r\nTuple find operations statistics.\r\n\r\n## TDG file connectors statistics\r\nFile connectors overall and current process statistics.\r\n\r\n## TDG GraphQL requests\r\nTDG API GraphQL requests statistics.\r\n\r\n## TDG IProto requests\r\nTDG API IProto net.box calls statistics.\r\n\r\n## TDG REST API requests\r\nTDG REST API requests statistics.\r\n\r\n## TDG tasks statistics\r\nTDG tasks, jobs and system tasks statistics.\r\n\r\n# Contributing\r\nProject is open-sourced, so you can freely file an issue with suggestion or bug report to our [GitHub page](https://github.com/tarantool/grafana-dashboard).","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-06-08T08:13:07.000Z","updatedAt":"2025-10-28T13:07:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16405"},{"rel":"revisions","href":"/dashboards/16405/revisions"},{"rel":"revision","href":"/dashboards/16405/revisions/12"},{"rel":"download","href":"/dashboards/16405/revisions/12/download"},{"rel":"org","href":"/orgs/differentialorange"},{"rel":"images","href":"/dashboards/16405/images"},{"rel":"thumbnails","href":"/dashboards/16405/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12606,"status":1,"statusCode":"active","orgId":398676,"orgSlug":"triliovault","orgName":"triliovault","slug":"target-detail","downloads":825,"revisionId":27972,"revision":6,"name":"Target Detail","description":"","readme":"Target Detail 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tasks","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-06-21T09:29:28.000Z","updatedAt":"2019-06-21T09:31:16.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10407"},{"rel":"revisions","href":"/dashboards/10407/revisions"},{"rel":"revision","href":"/dashboards/10407/revisions/1"},{"rel":"download","href":"/dashboards/10407/revisions/1/download"},{"rel":"org","href":"/orgs/adityaiyengar"},{"rel":"images","href":"/dashboards/10407/images"},{"rel":"thumbnails","href":"/dashboards/10407/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22800,"status":1,"statusCode":"active","orgId":1339479,"orgSlug":"deltamichel","orgName":"deltamichel","slug":"tasmota-dosen","downloads":298,"revisionId":35977,"revision":1,"name":"Tasmota Dosen","description":"test","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-02-03T16:59:50.000Z","updatedAt":"2025-02-03T17:00:37.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22800"},{"rel":"revisions","href":"/dashboards/22800/revisions"},{"rel":"revision","href":"/dashboards/22800/revisions/1"},{"rel":"download","href":"/dashboards/22800/revisions/1/download"},{"rel":"org","href":"/orgs/deltamichel"},{"rel":"images","href":"/dashboards/22800/images"},{"rel":"thumbnails","href":"/dashboards/22800/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24195,"status":1,"statusCode":"active","orgId":1519935,"orgSlug":"swifties","orgName":"swifties","slug":"taylor-swift-eras-tour","downloads":322,"revisionId":38582,"revision":1,"name":"Taylor Swift: Eras Tour","description":"Comprehensive analytics dashboard showcasing Taylor Swift's Eras Tour performance data, including concert metrics, surprise songs, ticket sales, venue analytics, and musical insights from the discography","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Google BigQuery","privacy":"public","createdAt":"2025-10-03T05:19:12.000Z","updatedAt":"2025-10-03T06:12:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24195"},{"rel":"revisions","href":"/dashboards/24195/revisions"},{"rel":"revision","href":"/dashboards/24195/revisions/1"},{"rel":"download","href":"/dashboards/24195/revisions/1/download"},{"rel":"org","href":"/orgs/swifties"},{"rel":"images","href":"/dashboards/24195/images"},{"rel":"thumbnails","href":"/dashboards/24195/thumbnails"}],"datasourceSlugs":["grafana-bigquery-datasource"]},{"id":24194,"status":1,"statusCode":"active","orgId":1519935,"orgSlug":"swifties","orgName":"swifties","slug":"taylor-swift-musical-characteristics-and-song-analysis","downloads":290,"revisionId":38581,"revision":1,"name":"Taylor Swift: Musical Characteristics and Song Analysis","description":"Welcome to the Data Visualization Era!","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Google BigQuery","privacy":"public","createdAt":"2025-10-03T05:18:46.000Z","updatedAt":"2025-10-03T06:12:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24194"},{"rel":"revisions","href":"/dashboards/24194/revisions"},{"rel":"revision","href":"/dashboards/24194/revisions/1"},{"rel":"download","href":"/dashboards/24194/revisions/1/download"},{"rel":"org","href":"/orgs/swifties"},{"rel":"images","href":"/dashboards/24194/images"},{"rel":"thumbnails","href":"/dashboards/24194/thumbnails"}],"datasourceSlugs":["grafana-bigquery-datasource"]},{"id":24193,"status":1,"statusCode":"active","orgId":1519935,"orgSlug":"swifties","orgName":"swifties","slug":"taylor-swift-overview","downloads":369,"revisionId":38580,"revision":1,"name":"Taylor Swift: Overview","description":"Welcome to the Data Visualization Era!","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Google BigQuery","privacy":"public","createdAt":"2025-10-03T05:17:44.000Z","updatedAt":"2025-10-03T06:10:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24193"},{"rel":"revisions","href":"/dashboards/24193/revisions"},{"rel":"revision","href":"/dashboards/24193/revisions/1"},{"rel":"download","href":"/dashboards/24193/revisions/1/download"},{"rel":"org","href":"/orgs/swifties"},{"rel":"images","href":"/dashboards/24193/images"},{"rel":"thumbnails","href":"/dashboards/24193/thumbnails"}],"datasourceSlugs":["grafana-bigquery-datasource"]},{"id":24196,"status":1,"statusCode":"active","orgId":1519935,"orgSlug":"swifties","orgName":"swifties","slug":"taylor-swift-the-life-of-a-showgirl","downloads":100,"revisionId":38583,"revision":1,"name":"Taylor Swift: The Life of a Showgirl","description":"Welcome to the Data Visualization Era!","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Google BigQuery, TestData","privacy":"public","createdAt":"2025-10-03T05:19:34.000Z","updatedAt":"2025-10-03T06:13:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24196"},{"rel":"revisions","href":"/dashboards/24196/revisions"},{"rel":"revision","href":"/dashboards/24196/revisions/1"},{"rel":"download","href":"/dashboards/24196/revisions/1/download"},{"rel":"org","href":"/orgs/swifties"},{"rel":"images","href":"/dashboards/24196/images"},{"rel":"thumbnails","href":"/dashboards/24196/thumbnails"}],"datasourceSlugs":["grafana-bigquery-datasource","grafana-testdata-datasource"]},{"id":24930,"status":1,"statusCode":"active","orgId":1606504,"orgSlug":"roddyd","orgName":"roddyd","slug":"tcping-packet-loss-table","downloads":19,"revisionId":40573,"revision":3,"name":"TCPing Packet Loss Table","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2026-02-27T13:00:16.000Z","updatedAt":"2026-04-23T23:43:56.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24930"},{"rel":"revisions","href":"/dashboards/24930/revisions"},{"rel":"revision","href":"/dashboards/24930/revisions/3"},{"rel":"download","href":"/dashboards/24930/revisions/3/download"},{"rel":"org","href":"/orgs/roddyd"},{"rel":"images","href":"/dashboards/24930/images"},{"rel":"thumbnails","href":"/dashboards/24930/thumbnails"}]},{"id":12184,"status":1,"statusCode":"active","orgId":375583,"orgSlug":"tcpantojobai","orgName":"tcpantojobai","slug":"tcpwave-remote","downloads":326,"revisionId":17347,"revision":1,"name":"TCPWave Remote","description":"Bind DNS Service Statistics.\r\n","readme":"TCPWave DNS remotes provide BIND statistics through Prometheus Bind_exporter. This dashboard can be used to view the details of the DNS remotes. \n\nPlease contact support@tcpwave.com for more information.","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-26T17:03:58.000Z","updatedAt":"2020-04-26T17:07:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12184"},{"rel":"revisions","href":"/dashboards/12184/revisions"},{"rel":"revision","href":"/dashboards/12184/revisions/1"},{"rel":"download","href":"/dashboards/12184/revisions/1/download"},{"rel":"org","href":"/orgs/tcpantojobai"},{"rel":"images","href":"/dashboards/12184/images"},{"rel":"thumbnails","href":"/dashboards/12184/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20388,"status":1,"statusCode":"active","orgId":1043261,"orgSlug":"homeylab","orgName":"homeylab","slug":"tdarr","downloads":6028,"revisionId":40832,"revision":4,"name":"Tdarr","description":"A Grafana dashboard for [tdarr-exporter](https://github.com/homeylab/tdarr-exporter)","readme":"A Grafana dashboard for [tdarr-exporter](https://github.com/homeylab/tdarr-exporter)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-02-01T02:43:57.000Z","updatedAt":"2026-05-22T02:24:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20388"},{"rel":"revisions","href":"/dashboards/20388/revisions"},{"rel":"revision","href":"/dashboards/20388/revisions/4"},{"rel":"download","href":"/dashboards/20388/revisions/4/download"},{"rel":"org","href":"/orgs/homeylab"},{"rel":"images","href":"/dashboards/20388/images"},{"rel":"thumbnails","href":"/dashboards/20388/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15155,"status":1,"statusCode":"active","orgId":550907,"orgSlug":"tdengine","orgName":"TDengine","slug":"tdengine-alert-demo","downloads":578,"revisionId":22705,"revision":1,"name":"TDengine Alert Demo","description":"TDengine database Alert Feature Demo Dashboard","readme":"\r\nNow TDengine data source plugin provides basic alert feature support by backend plugin since version `3.1.0`. But it has some known limits currently:\r\n\r\n1. The sql statement only supports two variables: `$from` and `$to`.\r\n2. When using grafana's alert function, you must use `SQL` as the `Type` option. That means, arithmetic expression will not work as you expected for alert.\r\n3. In addition, only `ALIAS BY` and `INPUT SQL` are valid. So alert does not work if you requires the time-shift feature.\r\n\r\nWe've published a dashboard ([15155](https://grafana.com/grafana/dashboards/15155)) for you to under stand how alert working.\r\n\r\nHere is the details:\r\n\r\nFirst, you should have a notification channel, if no, add a new one in <http://localhost:3000/alerting/notification/new>(here we use AlertManager for test, we also provides a webhook example here, in `webhook/` directory)\r\n\r\n![notification channel](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/alert-notification-channel.png)\r\n\r\nSecond, set the alert query in panel like this:\r\n\r\n![alert query](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/alert-query-demo.png)\r\n\r\nConfig the alert rule and notifications:\r\n\r\n![alert rule](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/alert-rule-condition-notifications.png)\r\n\r\nTest it with **Test rule** button, it should return `firing: true`:\r\n\r\n![alert rule test](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/alert-rule-test.png)\r\n\r\nIn alert manager dashboard, you could see the alert:\r\n\r\n![alert manager](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/alert-manager-status.png)\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"TDengine Datasource","privacy":"public","createdAt":"2021-10-26T15:39:40.000Z","updatedAt":"2022-10-18T06:19:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15155"},{"rel":"revisions","href":"/dashboards/15155/revisions"},{"rel":"revision","href":"/dashboards/15155/revisions/1"},{"rel":"download","href":"/dashboards/15155/revisions/1/download"},{"rel":"org","href":"/orgs/tdengine"},{"rel":"images","href":"/dashboards/15155/images"},{"rel":"thumbnails","href":"/dashboards/15155/thumbnails"}],"datasourceSlugs":["tdengine-datasource"]},{"id":15167,"status":1,"statusCode":"active","orgId":550907,"orgSlug":"tdengine","orgName":"TDengine","slug":"tdinsight","downloads":13618,"revisionId":24845,"revision":31,"name":"TDinsight for 2.x","description":"Monitor TDengine database with alerts","readme":"# TDinsight - A Zero-dependency Monitoring Solution For [TDengine] with [Grafana]\r\n\r\nLanguages: _English_ _[简体中文](https://www.taosdata.com/cn/documentation/tools/insight)_\r\n\r\nTDinsight v2.x uses TDengine's built-in database(`log`) and [Grafana] to monitor TDengine itself.\r\n\r\nAfter TDengine starts, it will automatically create a database named `log`, and regularly record the server's CPU, memory, disk usage, network bandwidth, number of requests, disk reading/writing throughput, slow queries, and other information for monitoring purposes. It also records important system operations(such as logging in, creating or deleting databases, etc.) and errors. TDinsight will visualize the TDengine cluster status, nodes information, insertion and query requests, resource usage, etc., with [Grafana] and [TDengine data source plugin for Grafana](https://github.com/taosdata/grafanaplugin/releases). It also supports abnormal status alarms of nodes including vnode, dnode, and mnode, which provides convenience for the operators to monitor the running status of TDengine clusters in real-time. In this document, we'll guide users to install the Grafana server, and then install the TDengine data source plugin and deploy the TDinsight visualization dashboard through the `TDinsight.sh` script automatically or manually.\r\n\r\n## Requirements\r\n\r\nAt least, you must have a single-node [TDengine] server or a [TDengine] cluster with multiple nodes, and a server host for [Grafana]. This dashboard requires new log database(since v2.3.3.0), including `cluster_info` `dnodes_info` `vgroups_info` tables and so on.\r\n\r\n## Install Grafana\r\n\r\nThe feature-rich [Grafana] dashboard for [TDengine] (cluster or not) requires Grafana 7.x or 8.x, so we recommend to use the latest [Grafana] 7/8 version here. You can install [Grafana] in any [supported OS](https://grafana.com/docs/grafana/latest/installation/requirements/#supported-operating-systems), follow the [installation instructions](https://grafana.com/docs/grafana/latest/installation/).\r\n\r\n### Install Grafana on Debian or Ubuntu\r\n\r\nFor Debian or Ubuntu OS, the first option is to use grafana APT repository. Here is how-to install it from scratch:\r\n\r\n```bash\r\nsudo apt-get install -y apt-transport-https\r\nsudo apt-get install -y software-properties-common wget\r\nwget -q -O - https://packages.grafana.com/gpg.key |\\\r\n  sudo apt-key add -\r\necho \"deb https://packages.grafana.com/oss/deb stable main\" |\\\r\n  sudo tee -a /etc/apt/sources.list.d/grafana.list\r\nsudo apt-get update\r\nsudo apt-get install grafana\r\n```\r\n\r\n### Install Grafana on CentOS/RHEL\r\n\r\nYou can install it from the official YUM repository.\r\n\r\n```bash\r\nsudo tee /etc/yum.repos.d/grafana.repo << EOF\r\n[grafana]\r\nname=grafana\r\nbaseurl=https://packages.grafana.com/oss/rpm\r\nrepo_gpgcheck=1\r\nenabled=1\r\ngpgcheck=1\r\ngpgkey=https://packages.grafana.com/gpg.key\r\nsslverify=1\r\nsslcacert=/etc/pki/tls/certs/ca-bundle.crt\r\nEOF\r\nsudo yum install grafana\r\n```\r\n\r\nOr install with RPM:\r\n\r\n```bash\r\nwget https://dl.grafana.com/oss/release/grafana-7.5.11-1.x86_64.rpm\r\nsudo yum install grafana-7.5.11-1.x86_64.rpm\r\n# it's ok to use in one line\r\nsudo yum install \\\r\n  https://dl.grafana.com/oss/release/grafana-7.5.11-1.x86_64.rpm\r\n```\r\n\r\n## Setup TDinsight v2.x Automatically\r\n\r\nWe've created a [`TDinsight.sh`](https://github.com/taosdata/grafanaplugin/releases/latest/download/TDinsight.sh) script for automation with Grafana [provisioning](https://grafana.com/docs/grafana/latest/administration/provisioning/) strategy.\r\n\r\nYou can download the script by `wget` or other tools:\r\n\r\n```bash\r\nwget https://github.com/taosdata/grafanaplugin/releases/latest/download/TDinsight.sh\r\nchmod +x TDinsight.sh\r\n```\r\n\r\nThis script will automatically download the latest [TDengine data source plugin](https://github.com/taosdata/grafanaplugin/releases/latest) and [TDinsight dashboard](https://grafana.com/grafana/dashboards/15167), covert them to provisioning configurations and setup TDinsight dashboard. With some more alert options, you will get the alert notification feature within an one-line command.\r\n\r\nFor the most simple use case, suppose you're serving TDengine and Grafana on the same host with both default options. Running `./TDinsight.sh` and opening Grafana url are the only things you need to setup TDinsight.\r\n\r\nHere is the usage of `TDinsight.sh`:\r\n\r\n```bash\r\nUsage:\r\n   ./TDinsight.sh\r\n   ./TDinsight.sh -h|--help\r\n   ./TDinsight.sh -n <ds-name> -a <api-url> -u <user> -p <password>\r\n\r\nInstall and configure TDinsight dashboard in Grafana on Ubuntu 18.04/20.04 system.\r\n\r\n-h, -help,          --help                  Display help\r\n\r\n-V, -verbose,       --verbose               Run script in verbose mode. Will print out each step of execution.\r\n\r\n-v, --plugin-version <version>              TDengine datasource plugin version, [default: latest]\r\n\r\n-P, --grafana-provisioning-dir <dir>        Grafana provisioning directory, [default: /etc/grafana/provisioning/]\r\n-G, --grafana-plugins-dir <dir>             Grafana plugins directory, [default: /var/lib/grafana/plugins]\r\n-O, --grafana-org-id <number>               Grafana organization id. [default: 1]\r\n\r\n-n, --tdengine-ds-name <string>             TDengine datasource name, no space. [default: TDengine]\r\n-a, --tdengine-api <url>                    TDengine REST API endpoint. [default: http://127.0.0.1:6041]\r\n-u, --tdengine-user <string>                TDengine user name. [default: root]\r\n-p, --tdengine-password <string>            TDengine password. [default: taosdata]\r\n\r\n-i, --tdinsight-uid <string>                Replace with a non-space ASCII code as the dashboard id. [default: tdinsight]\r\n-t, --tdinsight-title <string>              Dashboard title. [default: TDinsight]\r\n-e, --tdinsight-editable                    If the provisioning dashboard could be editable. [default: false]\r\n```\r\n\r\nMost of the CLI options are environment variable recognizable.\r\n\r\n| short | long                       | env                          | description                                                            |\r\n| ----- | -------------------------- | ---------------------------- | ---------------------------------------------------------------------- |\r\n| -v    | --plugin-version           | TDENGINE_PLUGIN_VERSION      | TDengine datasource plugin version, default is latest.                 |\r\n| -P    | --grafana-provisioning-dir | GF_PROVISIONING_DIR          | Grafana provisioning directory, [default: /etc/grafana/provisioning/]  |\r\n| -G    | --grafana-plugins-dir      | GF_PLUGINS_DIR               | Grafana plugins directory, default is `/var/lib/grafana/plugins`.      |\r\n| -O    | --grafana-org-id           | GF_ORG_ID                    | Grafana organization id, default is 1.                                 |\r\n| -n    | --tdengine-ds-name         | TDENGINE_DS_NAME             | TDengine datasource name, default is TDengine.                         |\r\n| -a    | --tdengine-api             | TDENGINE_API                 | TDengine REST API endpoint. default is `http://127.0.0.1:6041`.        |\r\n| -u    | --tdengine-user            | TDENGINE_USER                | TDengine user name. [default: root]                                    |\r\n| -p    | --tdengine-password        | TDENGINE_PASSWORD            | TDengine password. [default: taosdata]                                 |\r\n| -i    | --tdinsight-uid            | TDINSIGHT_DASHBOARD_UID      | TDinsight dashboard `uid`. [default: tdinsight]                        |\r\n| -t    | --tdinsight-title          | TDINSIGHT_DASHBOARD_TITLE    | TDinsight dashboard title. [default: TDinsight]                        |\r\n| -e    | --tdinsight-editable       | TDINSIGHT_DASHBOARD_EDITABLE | If the provisioning dashboard could be editable. [default: false]      |\r\n\r\nSuppose you are serving TDengine on host `tdengine`, with HTTP API port `6041`, user `root1`, password `pass5ord`. Use the script as:\r\n\r\n```bash\r\n./TDinsight.sh -a http://tdengine:6041 -u root1 -p pass5ord\r\n```\r\n\r\nWe are providing a `-E` options to configure existing notification channel for TDinsight from command line. Suppose your Grafana user and password is `admin:admin`, use the following command to get the notification channels:\r\n\r\n```bash\r\ncurl --no-progress-meter -u admin:admin http://localhost:3000/api/alert-notifications | jq\r\n```\r\n\r\nHere, we use `uid` property of the notification channel as `-E` input.\r\n\r\n```bash\r\n./TDinsight.sh -a http://tdengine:6041 -u root1 -p pass5ord -E existing-notifier\r\n```\r\n\r\nIf you want to monitor multiple TDengine clusters, you need to setup multiple TDinsight dashboards. There's some required changes to setup non-default TDinsight - `-n` `-i` `-t` options are need to be changed to some other names.\r\n\r\n```bash\r\nsudo ./TDengine.sh -n TDengine-Env1 -a http://another:6041 -u root -p taosdata -i tdinsight-env1 -t 'TDinsight Env1'\r\n```\r\n\r\nNote that, the provisioning data sources, notification channels and dashboards are not changeable at frontend. You should update the configuration by this script again or change the provisioning configurations manually. The provisioning configurations are all located in `/etc/grafana/provisioning` directory (the directory is grafana default, change it with `-P` option as you need).\r\n\r\nFor special use cases, `-O` would set the organization id when you use Grafana Cloud or use a different organization. `-G` let you choose the grafana plugins install directory. `-e` would set the dashboard to be editable.\r\n\r\n## Setup TDinsight v2.x Manually\r\n\r\n### Install TDengine Data Source Plugin\r\n\r\nInstall the latest version of TDengine data-source plugin from GitHub.\r\n\r\n```bash\r\nget_latest_release() {\r\n  curl --silent \"https://api.github.com/repos/taosdata/grafanaplugin/releases/latest\" |\r\n    grep '\"tag_name\":' |\r\n    sed -E 's/.*\"v([^\"]+)\".*/\\1/'\r\n}\r\nTDENGINE_PLUGIN_VERSION=$(get_latest_release)\r\nsudo grafana-cli \\\r\n  --pluginUrl https://github.com/taosdata/grafanaplugin/releases/download/v$TDENGINE_PLUGIN_VERSION/tdengine-datasource-$TDENGINE_PLUGIN_VERSION.zip \\\r\n  plugins install tdengine-datasource\r\n```\r\n\r\n**NOTE**: If you're using an older version before v3.1.7, please configure to allow using unsigned plugins by add following lines to `/etc/grafana/grafana.ini`.\r\n\r\n```ini\r\n[plugins]\r\nallow_loading_unsigned_plugins = tdengine-datasource\r\n```\r\n\r\n### Start Grafana Service\r\n\r\n```bash\r\nsystemctl enable grafana-server\r\nsystemctl start grafana-server\r\n```\r\n\r\n### Login to Grafana\r\n\r\nOpen the default grafana url: `http://localhost:3000` in your web browser.\r\nThe default username/password is both `admin`.\r\nGrafana would ask you to change the password after first login.\r\n\r\n### Add TDengine Data Source\r\n\r\nPoint to **Configurations** -> **Data Sources** menu and then **Add data source** button.\r\n\r\n![add data source button](../assets/howto-add-datasource-button.png)\r\n\r\nSearch and choose **TDengine**.\r\n\r\n![add data source](../assets/howto-add-datasource-tdengine.png)\r\n\r\nConfigure TDengine data source.\r\n\r\n![data source configuration](../assets/howto-add-datasource.png)\r\n\r\nSave and test it, it should say 'TDengine Data source is working'.\r\n\r\n![data source test](../assets/howto-add-datasource-test.png)\r\n\r\n### Import TDengine Dashboard\r\n\r\nPoint to **+** / **Create** - **import** (or `/dashboard/import` url).\r\n\r\n![import dashboard and config](../assets/import_dashboard.png)\r\n\r\nUse the dashboard id `15167` via grafana.com.\r\n\r\n![import via grafana.com](../assets/import-dashboard-15167.png)\r\n\r\nThen it's all done.\r\n\r\nThe full page view for TDengine will like below.\r\n\r\n![display](../assets/TDinsight-full.png)\r\n\r\n## TDinsight v2.x Dashboard Details\r\n\r\nThe TDinsight dashboard aims to provide TDengine cluster resources usage and status of [dnodes, mnodes, vnodes](https://www.taosdata.com/cn/documentation/architecture#cluster), or databases. There're several partitions of metrics.\r\n\r\n### Cluster Status\r\n\r\n![tdinsight-mnodes-overview](../assets/TDinsight-1-cluster-status.png)\r\n\r\nInclude cluster current information and status (left-right, top-down).\r\n\r\n- **First EP**: First EP in current TDengine cluster.\r\n- **Version**: Server version of MNode.\r\n- **Master Uptime**: Time that the current master mnode elected.\r\n- **Expire Time** - Expire time for enterprise version.\r\n- **Used Measuring Points** - Used measuring points for enterprise version.\r\n- **Databases** - The total number of databases.\r\n- **Connections** - The connections number in current time.\r\n- **DNodes/MNodes/VGroups/VNodes**: Total and alive number for each kind of resources.\r\n- **DNodes/MNodes/VGroups/VNodes Alive Percent**: alive number / total number for each kind of resources, with alert rule enabled, by default it will be triggered when the resource is not 100% alive.\r\n- **Measuring Points Used**: Used measuring points for enterprise version with alert enabled.\r\n- **Grants Expire Time**: Expire time for enterprise version with alert enabled.\r\n- **Error Rate**: The total error rate for the cluster with alert enabled.\r\n- **Variables**: generated by `show variables` command and displayed as Table view.\r\n\r\n### DNodes Status\r\n\r\n![tdinsight-mnodes-overview](../assets/TDinsight-2-dnodes.png)\r\n\r\n- **DNodes Status**: Simple table view for `show dnodes`.\r\n- **DNodes Lifetime**: The time elapsed from dnode created.\r\n- **DNodes Number**: DNodes number changes time-series graph.\r\n- **Offline Reasons**: Offline reasons pie chart if any dnode status is offline.\r\n\r\n### MNodes Overview\r\n\r\n![tdinsight-mnodes-overview](../assets/TDinsight-3-mnodes.png)\r\n\r\n1. **MNodes Status**: Simple table view for `show mnodes`.\r\n2. **MNodes Number**: like `DNodes Number`, but for mnodes.\r\n\r\n### Requests\r\n\r\n![tdinsight-requests](../assets/TDinsight-4-requests.png)\r\n\r\n1. **Requests Rate(Inserts per Second)**: Insert count per second rate.\r\n2. **Requests (Selects)**: Select requests count and rate.\r\n3. **Requests (HTTP)**: HTTP requests count and rate.\r\n\r\n### Database for each `$database`\r\n\r\n![tdinsight-database](../assets/TDinsight-5-database.png)\r\n\r\n1. **STables**: Number of stables.\r\n2. **Total Tables**: Number of all tables.\r\n3. **Sub Tables**: Number of tables that is sub table of a stable.\r\n4. **Tables**: Tables changes time-series data.\r\n5. **Tables Number Foreach VGroups**: Tables number for each vgroups.\r\n\r\n### DNode Usage for each `$fqdn`\r\n\r\n![dnode-usage](../assets/TDinsight-6-dnode-usage.png)\r\n\r\nDNode resources details for specific node with grafana query type variable `$fqdn` (from `select tbname from log.dn`), including:\r\n\r\n- Current memory usage, cpu usage, band speed, io read and write rate, disk used, etc.\r\n- Max resources usage in last hour or some time.\r\n- CPU graph view.\r\n- Memory usage.\r\n- Disk used percent: graph view with alert rule.\r\n- Disk used.\r\n- Requests count per minute.\r\n- IO rate (read/write), with comparison to that in last hour.\r\n\r\nHere's the metrics list:\r\n\r\n1. **Uptime**: Elapsed time from dnode created.\r\n2. **Has MNodes?**: If the dnodes has mnode.\r\n3. **CPU Cores**: Number of CPU cores.\r\n4. **VNodes Number**: VNodes number of the current dnode.\r\n5. **VNodes Masters**: The number of vnodes that are in master role.\r\n6. **Current CPU Usage of taosd**: CPU usage of taosd process.\r\n7. **Current Memory Usage of taosd**: Memory usage of taosd process.\r\n8. **Disk Used**: Total disk usage percent of taosd data directory.\r\n9. **CPU Usage**: Process and system CPU usage.\r\n10. **RAM Usage**: RAM used metrics time-series view.\r\n11. **Disk Used**: Disk used for each level.\r\n12. **Disk Increasing Rate per Minute**: Disk increasing rate per minute.\r\n13. **Disk IO**: Process read/write bytes time-series data and view.\r\n14. **Net IO**: Total in/out bits for all networks except lo.\r\n\r\n### Login History\r\n\r\n![login-history](../assets/TDinsight-7-login-history.png)\r\n\r\nCurrently only report login count per minute.\r\n\r\n### TaosAdapter\r\n\r\n![taosadapter](../assets/TDinsight-8-taosadaper.png)\r\n\r\nIncludes taosAdapter http request statistics and status information\r\n\r\nHere's the metrics list:\r\n\r\n1. **http_request**: include total http requests, failed http requests and http requests in flight.\r\n2. **top 3 request endpoint**: top 3 total requests number and the corresponding endpoint. \r\n3. **Memory Used**: taosAdapter memory usage\r\n4. **latency_quantile(ms)**: Quantiles for each stages (1, 2, 5, 9, 99)\r\n5. **top 3 failed request endpoint**: top 3 request failure number and the corresponding endpoint.\r\n6. **CPU Used**: taosAdapter cpu usage\r\n\r\n## Upgrade\r\n\r\nReinstall with `TDinsight.sh` will upgrade Grafana plugin and TDinsight dashboard.\r\n\r\nIn other cases, users should install the new TDengine data source plugin first, then remove and install the new TDinsight dashboard.\r\n\r\n## Uninstall\r\n\r\nWith `TDinsight.sh`, just run `TDinsight.sh -R` to clean up all installed components.\r\n\r\nFollow the next steps to clean up if you have installed TDinsight manually.\r\n\r\n1. Remove TDinsight dashboard in Grafana webpage.\r\n2. Remove TDengine from Grafana data sources.\r\n3. Remove the `tdengine-datasource` plugin from Grafana plugins directory.\r\n\r\n## An All-in-one Docker Example\r\n\r\n```bash\r\ngit clone --depth 1 https://github.com/taosdata/grafanaplugin.git\r\ncd grafanaplugin\r\n```\r\n\r\nModify as needed in the `docker-compose.yml` file:\r\n\r\n```yaml\r\nversion: \"3.7\"\r\n\r\nservices:\r\n  grafana:\r\n    image: grafana/grafana:7.5.10\r\n    volumes:\r\n      - ./dist:/var/lib/grafana/plugins/tdengine-datasource\r\n      - ./grafana/grafana.ini:/etc/grafana/grafana.ini\r\n      - ./grafana/provisioning/:/etc/grafana/provisioning/\r\n      - grafana-data:/var/lib/grafana\r\n    environment:\r\n      TDENGINE_API: ${TDENGINE_API}\r\n      TDENGINE_USER: ${TDENGINE_USER}\r\n      TDENGINE_PASS: ${TDENGINE_PASS}\r\n    ports:\r\n      - 3000:3000\r\n\r\nvolumes:\r\n  grafana-data:\r\n```\r\n\r\nReplace the environment variables in `docker-compose.yml` or set it `.env`, then start Grafana with [docker-compose].\r\n\r\n```bash\r\ndocker-compose up -d\r\n```\r\n\r\nTDinsight v2.x is builtin, please go to http://localhost:3000/dashboards to see the dashboard.\r\n\r\n[Grafana]: https://grafana.com\r\n[TDengine]: https://www.taosdata.com\r\n[docker-compose]: https://docs.docker.com/compose/\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"TDengine Datasource","privacy":"public","createdAt":"2021-10-29T17:48:27.000Z","updatedAt":"2023-12-13T03:46:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15167"},{"rel":"revisions","href":"/dashboards/15167/revisions"},{"rel":"revision","href":"/dashboards/15167/revisions/31"},{"rel":"download","href":"/dashboards/15167/revisions/31/download"},{"rel":"org","href":"/orgs/tdengine"},{"rel":"images","href":"/dashboards/15167/images"},{"rel":"thumbnails","href":"/dashboards/15167/thumbnails"}],"datasourceSlugs":["tdengine-datasource"]},{"id":18180,"status":1,"statusCode":"active","orgId":550907,"orgSlug":"tdengine","orgName":"TDengine","slug":"tdinsight-for-3-x","downloads":2982,"revisionId":37957,"revision":11,"name":"TDinsight for 3.x","description":"Monitor TDengine","readme":"# TDinsight - A Monitoring Solution For [TDengine] with [Grafana]\r\n\r\nTDinsight v3.x is a solution for monitoring TDengine using the builtin native monitoring database and Grafana.\r\n\r\nTDengine writes monitoring data into a special database through [taosKeeper](https://github.com/taosdata/taoskeeper).\r\nThe metrics may include the server's CPU, memory, hard disk space, network bandwidth, number of requests, disk\r\nread/write speed, slow queries, other information like important system operations (user login, database creation,\r\ndatabase deletion, etc.), and error alarms. With [Grafana](https://grafana.com/)\r\nand [TDengine Data Source Plugin](https://github.com/taosdata/grafanaplugin/releases), TDinsight can visualize cluster\r\nstatus, node information, insertion and query requests, resource usage, vnode, dnode, and mnode status, exception alerts\r\nand many other metrics. This is very convenient for developers who want to monitor TDengine cluster status in real-time.\r\n\r\nThis article will guide users to install the Grafana server and TDengine Data Source Plugin, and deploy the TDinsight\r\nv3.x.\r\n\r\n## Requirements\r\n\r\n- a single-node TDengine server or a multi-node TDengine cluster and a Grafana server are required. This dashboard\r\n  requires TDengine 3.0.1.0 and above, with the monitoring feature enabled. For detailed configuration, please refer to\r\n  [TDengine monitoring configuration](https://docs.tdengine.com/reference/config/#monitoring-parameters).\r\n- taosAdapter has been instaleld and running, please refer\r\n  to [taosAdapter](https://docs.tdengine.com/reference/taosadapter/).\r\n- taosKeeper has been installed and running, please refer\r\n  to [taosKeeper](https://docs.tdengine.com/reference/taosKeeper/).\r\n\r\n## Install Grafana\r\n\r\nWe recommend using the latest [Grafana](https://grafana.com/) version 8 or 9. You can install Grafana on any\r\nsupported operating system by following\r\nthe [official Grafana documentation Instructions](https://grafana.com/docs/grafana/latest/installation/) to install\r\nGrafana.\r\n\r\n### Installing Grafana on Debian or Ubuntu\r\n\r\nFor Debian or Ubuntu operating systems, we recommend the Grafana image repository and using the following command to\r\ninstall from scratch.\r\n\r\n```bash\r\nsudo apt-get install -y apt-transport-https\r\nsudo apt-get install -y software-properties-common wget\r\nwget -q -O - https://packages.grafana.com/gpg.key |\\\r\n  sudo apt-key add -\r\necho \"deb https://packages.grafana.com/oss/deb stable main\" |\\\r\n  sudo tee -a /etc/apt/sources.list.d/grafana.list\r\nsudo apt-get update\r\nsudo apt-get install grafana\r\n```\r\n\r\n### Install Grafana on CentOS / RHEL\r\n\r\nYou can install it from its official YUM repository.\r\n\r\n```bash\r\nsudo tee /etc/yum.repos.d/grafana.repo << EOF\r\n[grafana]\r\nname=grafana\r\nbaseurl=https://packages.grafana.com/oss/rpm\r\nrepo_gpgcheck=1\r\nenabled=1\r\ngpgcheck=1\r\ngpgkey=https://packages.grafana.com/gpg.key\r\nsslverify=1\r\nsslcacert=/etc/pki/tls/certs/ca-bundle.crt\r\nEOF\r\nsudo yum install grafana\r\n```\r\n\r\nOr install it with RPM package.\r\n\r\n```bash\r\nwget https://dl.grafana.com/oss/release/grafana-7.5.11-1.x86_64.rpm\r\nsudo yum install grafana-7.5.11-1.x86_64.rpm\r\n# or\r\nsudo yum install \\\r\n  https://dl.grafana.com/oss/release/grafana-7.5.11-1.x86_64.rpm\r\n```\r\n\r\n## set up TDinsight v3.x\r\n\r\n### Install the TDengine data source plugin\r\n\r\n#### Install the latest version of the TDengine Data Source plugin from GitHub\r\n\r\n```bash\r\nget_latest_release() {\r\n  curl --silent \"https://api.github.com/repos/taosdata/grafanaplugin/releases/latest\" |\r\n    grep '\"tag_name\":' |\r\n    sed -E 's/.*\"v([^\"]+)\".*/\\1/'\r\n}\r\nTDENGINE_PLUGIN_VERSION=$(get_latest_release)\r\nsudo grafana-cli \\\r\n  --pluginUrl https://github.com/taosdata/grafanaplugin/releases/download/v$TDENGINE_PLUGIN_VERSION/tdengine-datasource-$TDENGINE_PLUGIN_VERSION.zip \\\r\n  plugins install tdengine-datasource\r\n```\r\n\r\n**NOTE**: The 3.1.6 and earlier version plugins require the following setting in the configuration\r\nfile `/etc/grafana/grafana.ini` to enable unsigned plugins.\r\n\r\n```ini\r\n[plugins]\r\nallow_loading_unsigned_plugins = tdengine-datasource\r\n```\r\n\r\n#### Install TDengine Data Source plugin from Grafana Plugins page\r\n\r\nPoint to the **Configurations** -> **Plugins**(or \"/plugins\" url), and search \"TDengine\".\r\n\r\n![install datasource plugin](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/howto-add-plugin.png)\r\n\r\nClick \"TDengine Datasource\", and click \"install\".\r\n\r\n![install datasource plugin](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/howto-add-plugin-install.png)\r\n\r\n### Start the Grafana service\r\n\r\n```bash\r\nsudo systemctl start grafana-server\r\nsudo systemctl enable grafana-server\r\n```\r\n\r\n### Logging into Grafana\r\n\r\nOpen the default Grafana URL in a web browser: `http://localhost:3000`. The default username/password is `admin`.\r\nGrafana will require a password change after the first login.\r\n\r\n### Adding a TDengine Data Source\r\n\r\nPoint to the **Configurations** -> **Data Sources** menu, and click the **Add data source** button.\r\n\r\n![add datasource](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/howto-add-datasource-button.png)\r\n\r\nSearch for and select **TDengine**.\r\n\r\n![add datasource](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/howto-add-datasource-tdengine.png)\r\n\r\nConfigure the TDengine datasource.\r\n\r\n![datasource config](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/howto-add-datasource.png)\r\n\r\nSave and test. It will report 'TDengine Data source is working' in normal circumstances.\r\n\r\n![datasource testing](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/howto-add-datasource-test.png)\r\n\r\n### Importing dashboard\r\n\r\n#### Importing dashboard from datasource confining page.\r\n\r\nClick **Dashboard** tab in TDengine datasource confining page.\r\n\r\n![import dashboard and config](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/import_dashboard-on-datasource.png)\r\n\r\nClick the \"import\" button of \"TDinsight for 3.x\", and import the dashboard.\r\n\r\n### Import dashboard from importing page\r\n\r\nPoint to **+** / **Create** - **import** (or `/dashboard/import` url).\r\n\r\n![import dashboard and config](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/import_dashboard.png)\r\n\r\nInput dashboard id `18180` in **Import via grafana.com** and click **Load**.\r\n\r\n![import by grafana.com](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/import-dashboard-18180.png)\r\n\r\nAfter importing, TDinsight v3.x dashboard as follows.\r\n\r\n![dashboard](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/TDinsight-v3-full.png)\r\n\r\n## TDinsight v3.x Dashboard details\r\n\r\nThe TDinsight dashboard is designed to provide the usage and status of TDengine-related resources,\r\ne.g. [dnodes, mnodes, vnodes](https://www.taosdata.com/cn/documentation/architecture#cluster) and databases.\r\n\r\nThe details of the metrics are as follows.\r\n\r\n### Cluster Status\r\n\r\n![tdinsight-mnodes-overview](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/TDinsightV3-1-cluster-status.png)\r\n\r\nThis section contains the current information and status of the cluster (from left to right, top to bottom).\r\n\r\n- **First EP**: the firstEp setting in the current TDengine cluster.\r\n- **Version**: TDengine server version (leader mnode).\r\n- **Master Uptime**: The time elapsed since the current Leader MNode was elected as Leader.\r\n- **Expire Time**: Enterprise version expiration time.\r\n- **Used Measuring Points**: The number of measuring points used by the Enterprise Edition.\r\n- **Databases**: The number of databases.\r\n- **Tables**: The number of table.\r\n- **Connections**: The number of current connections.\r\n- **DNodes/MNodes/VGroups/VNodes**: Total number of each resource and the number of survivors.\r\n- **Classified Connection Counts**: The current number of active connections, classified by user, application, and IP. \r\n- **DNodes/MNodes/VGroups/VNodes Alive Percent**: The ratio of the number of alive/total for each resource.\r\n- **Measuring Points Used**: The number of measuring points(no data available in the community version, healthy by\r\n  default).\r\n- **Grants Expire Time**: the expiration time of the enterprise version (no data available for the community version,\r\n  healthy by default).\r\n- **Error Rate**: Aggregate error rate (average number of errors per second) for alert-enabled clusters.\r\n\r\n### DNodes Status\r\n\r\n![tdinsight-mnodes-overview](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/TDinsightV3-2-dnodes.png)\r\n\r\n- **DNodes Status**: simple table view of `show dnodes`.\r\n- **DNodes Lifetime**: the time elapsed since the dnode was created.\r\n- **DNodes Number**: the trends in the number of DNodes.\r\n\r\n### MNode Overview\r\n\r\n![tdinsight-mnodes-overview](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/TDinsightV3-3-mnodes.png)\r\n\r\n1. **MNodes Status**: a simple table view of `show mnodes`.\r\n2. **MNodes Number**: similar to `DNodes Number`, the trends in the number of MNodes.\r\n\r\n### Request\r\n\r\n![tdinsight-requests](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/TDinsightV3-4-requests.png)\r\n\r\n1. **Requests Rate(Inserts per Second)**: average number of inserts per second.\r\n2. **Requests (Selects)**: number of query requests and rate of change (count of second).\r\n\r\n### Database\r\n\r\n![tdinsight-database](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/TDinsightV3-5-database.png)\r\n\r\nDatabase usage, repeated for each value of the variable `$database`, one rows per database.\r\n\r\n1. **STables**: number of super tables.\r\n2. **Total Tables**: number of all tables.\r\n3. **Tables**: number of normal tables.\r\n4. **Tables Number Foreach VGroups**: number of tables per vgroup.\r\n\r\n### DNode Resource Usage\r\n\r\n![dnode-usage](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/TDinsightV3-6-dnode-usage.png)\r\n\r\n数据节点资源使用情况展示, 对变量 `$fqdn` 即每个数据节点进行重复多行展示.包括:\r\n\r\nData node resource usage display with repeated multiple rows for the variable `$fqdn`, one rows per dnode.\r\n\r\n1. **Uptime**: the time elapsed since the dnode was created.\r\n2. **Has MNodes?**: whether the current dnode is a mnode.\r\n3. **CPU Cores**: the number of CPU cores.\r\n4. **VNodes Number**: the number of VNodes in the current dnode.\r\n5. **VNodes Masters**: the number of vnodes in the leader role.\r\n6. **Current CPU Usage of taosd**: CPU usage rate of taosd processes.\r\n7. **Current Memory Usage of taosd**: memory usage of taosd processes.\r\n8. **Disk Used**: The total disk usage percentage of the taosd data directory.\r\n9. **CPU Usage**: Process and system CPU usage.\r\n10. **RAM Usage**: Time series view of RAM usage metrics.\r\n11. **Disk Used**: Disks used at each level of multi-level storage (default is level0).\r\n12. **Disk IO**: Disk IO rate.\r\n13. **Net IO**: Network IO, the aggregate network IO rate in addition to the local network.\r\n\r\n### Login History\r\n\r\n![login history](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/TDinsightV3-7-login-history.png)\r\n\r\nCurrently, only the number of logins per minute is reported.\r\n\r\n### taosAdapter\r\n\r\n![taosadapter](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/TDinsightV3-8-taosadaper.png)\r\n\r\nSupport monitoring taosAdapter rest and websocket request statistics. Including:\r\n\r\n1. **Total**: number of total requests.\r\n2. **Successful**: number of total successful requests.\r\n3. **Failed**: number of total failed requests.\r\n4.  **Queries**: number of total queries.\r\n5.  **Writes**: number of total inserts or updates.\r\n6.  **Other**: number of total other requests.\r\n\r\nThere is also line charts for detail dimensions.\r\n\r\n## Upgrade\r\n\r\nYou can update TDengine Grafana datasource plugin and TDinsight for 3.x by re-installation.\r\n\r\n## Uninstall\r\n\r\nTo completely uninstall TDinsight during a manual installation, you need to clean up the following.\r\n\r\n1. the TDinsight v3.x Dashboard in Grafana.\r\n2. the Data Source in Grafana.\r\n3. the `tdengine-datasource` plugin in Grafana.\r\n\r\n[Grafana]: https://grafana.com\r\n\r\n[TDengine]: https://www.taosdata.com\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"TDengine Datasource","privacy":"public","createdAt":"2023-02-26T16:50:23.000Z","updatedAt":"2025-08-04T02:46:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18180"},{"rel":"revisions","href":"/dashboards/18180/revisions"},{"rel":"revision","href":"/dashboards/18180/revisions/11"},{"rel":"download","href":"/dashboards/18180/revisions/11/download"},{"rel":"org","href":"/orgs/tdengine"},{"rel":"images","href":"/dashboards/18180/images"},{"rel":"thumbnails","href":"/dashboards/18180/thumbnails"}],"datasourceSlugs":["tdengine-datasource"]},{"id":20631,"status":1,"statusCode":"active","orgId":550907,"orgSlug":"tdengine","orgName":"TDengine","slug":"tdinsight-for-taosx","downloads":644,"revisionId":37271,"revision":3,"name":"TDinsight for taosX","description":"Monitor taosX","readme":"# TDinsight for taosX - A Monitoring Solution For [taosX] with [Grafana]\r\n\r\nTaosX is a zero-code platform for data access, synchronization, backup, and recovery of TDengine, and is an important feature of TDengine Enterprise Edition. \r\nTDinsight for taosX is a real-time display plugin used to monitor various components of taosX such as Agent, Connector, and various data source tasks. It is very simple to install and use.\r\n\r\n### Adding a TDengine Data Source\r\n\r\nPoint to the **Configurations** -> **Data Sources** menu, and click the **Add data source** button.\r\n\r\n![add datasource](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/howto-add-datasource-button.png)\r\n\r\nSearch for and select **TDengine**.\r\n\r\n![add datasource](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/howto-add-datasource-tdengine.png)\r\n\r\nConfigure the TDengine datasource.\r\n\r\n![datasource config](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/howto-add-datasource.png)\r\n\r\nSave and test. It will report 'TDengine Data source is working' in normal circumstances.\r\n\r\n![datasource testing](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/howto-add-datasource-test.png)\r\n\r\n### Importing dashboard\r\n\r\n#### Importing dashboard from datasource confining page.\r\n\r\nClick **Dashboard** tab in TDengine datasource confining page.\r\n\r\n![import dashboard and config](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/taosX-import.png)\r\n\r\nClick the \"import\" button of `TDinsight for taoX` to import the panel. \r\nAfter the import is complete, the full page view of `TDinsight for taoX` is as shown below.\r\n\r\n![dashboard](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/TDinsight-taosX-full.png)\r\n\r\n\r\n## TDinsight for taosX Dashbord Detail\r\n\r\n### taosX\r\n\r\n![taosx-overview](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/taosX-main.png)\r\n\r\nThis section includes the basic information of the currently selected taosX instance (from left to right, from top to bottom).\r\n\r\n- **CPU Cores**: The number of CPU cores of the machine where taosX is located.\r\n- **Total Memory**: The system memory of the machine where taosX is located.\r\n- **CPU Usage**: The percentage of CPU usage by the taosX process.\r\n- **Memory Usage**: The percentage of memory usage by the taosX process.\r\n- **Uptime**: The running time of taosX.\r\n- **Restart Times**: The number of times taosX has been restarted.\r\n- **CPU Usage**: The percentage of CPU usage by the taosX process, in time series form.\r\n- **Memory Usage**: The percentage of memory usage by the taosX process, in time series form.\r\n- **Running Tasks**: The number of tasks currently being executed.\r\n- **Failed Tasks**: The number of tasks failed.\r\n- **Completed Tasks**: The number of tasks completed.\r\n\r\n### Agent\r\n\r\n![taosx-agent](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/taosX-Agent.png)\r\n\r\n- **CPU Cores**: The number of CPU cores of the machine where the Agent is located.\r\n- **Total Memory**: The system memory of the machine where the Agent is located.\r\n- **CPU Usage**: The percentage of CPU usage by the Agent process.\r\n- **Memory Usage**: The percentage of memory usage by the Agent process.\r\n- **CPU Usage**: The percentage of CPU usage by the Agent process, in time series form.\r\n- **Memory Usage**: The percentage of memory usage by the Agent process, in time series form.\r\n\r\n### TDengine3\r\n\r\n![tdinsight-mnodes-overview](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/TDinsightV3-3-mnodes.png)\r\n\r\n-  **Task Info**: Task information, including task id, name, execution time, number of rows written, total execution time, and total number of rows written.\r\n-  **Inserted Rows Rate**: Insertion rate of rows.\r\n-  **Inserted Points Rate**: Insertion rate of points.\r\n-  **Write Raw Fails**: The number of times the writing of raw meta failed.\r\n\r\n### OPC-UA\r\n\r\n![tdinsight-mnodes-overview](https://raw.githubusercontent.com/taosdata/grafanaplugin/master/assets/taosX-opcua.png)\r\n\r\n- **Task Info**: Task information, including id, name, execution time, number of rows written, total execution time, and total number of rows written.\r\n- **Inserted Rows Rate**: Insertion rate of rows.\r\n- **Inserted Points Rate**: Insertion rate of points.\r\n- **Processed/Received Batches**: The number of batches processed & the number of data batches received through IPC Stream.\r\n- **Failed Sqls**: The total number of failed INSERT SQL statements during this task run.\r\n- **Connector CPU Percent**: The percentage of CPU usage by the Connector process, in time series form.\r\n- **Connector Memory Percent**: The percentage of memory usage by the Connector process, in time series form.\r\n- **Connector Disk Read Rate**: The disk read speed of the Connector process.\r\n- **Connector Disk Write Rate**: The disk write speed of the Connector process.\r\n\r\nThe monitoring information of other types of data sources such as MQTT, CSV, Kafka, etc., is similar to OPC-UA.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"TDengine Datasource","privacy":"public","createdAt":"2024-03-05T06:42:21.000Z","updatedAt":"2025-05-21T07:37:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20631"},{"rel":"revisions","href":"/dashboards/20631/revisions"},{"rel":"revision","href":"/dashboards/20631/revisions/3"},{"rel":"download","href":"/dashboards/20631/revisions/3/download"},{"rel":"org","href":"/orgs/tdengine"},{"rel":"images","href":"/dashboards/20631/images"},{"rel":"thumbnails","href":"/dashboards/20631/thumbnails"}],"datasourceSlugs":["tdengine-datasource"]},{"id":11717,"status":1,"statusCode":"active","orgId":347278,"orgSlug":"lmssdd","orgName":"lmssdd","slug":"tdm-emontx","downloads":329,"revisionId":17212,"revision":5,"name":"TDM-emonTx","description":"Dashboard for EmonTX sensor for TDM project","readme":"This dashboard shows the readings of the EmonTX sensor node for the TDM project","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-02-10T14:49:47.000Z","updatedAt":"2020-04-17T10:46:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11717"},{"rel":"revisions","href":"/dashboards/11717/revisions"},{"rel":"revision","href":"/dashboards/11717/revisions/5"},{"rel":"download","href":"/dashboards/11717/revisions/5/download"},{"rel":"org","href":"/orgs/lmssdd"},{"rel":"images","href":"/dashboards/11717/images"},{"rel":"thumbnails","href":"/dashboards/11717/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13967,"status":1,"statusCode":"active","orgId":467822,"orgSlug":"tdmforecast","orgName":"TDM-Forecast","slug":"tdm-emontx-forecast","downloads":294,"revisionId":24243,"revision":6,"name":"TDM-emonTx-forecast","description":"Dashboard for EmonTX sensor for TDM project with panel for power forecasts","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-02-25T13:54:07.000Z","updatedAt":"2022-03-24T15:10:11.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13967"},{"rel":"revisions","href":"/dashboards/13967/revisions"},{"rel":"revision","href":"/dashboards/13967/revisions/6"},{"rel":"download","href":"/dashboards/13967/revisions/6/download"},{"rel":"org","href":"/orgs/tdmforecast"},{"rel":"images","href":"/dashboards/13967/images"},{"rel":"thumbnails","href":"/dashboards/13967/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17636,"status":1,"statusCode":"active","orgId":347278,"orgSlug":"lmssdd","orgName":"lmssdd","slug":"tdm-iotawatt","downloads":299,"revisionId":27095,"revision":1,"name":"TDM-iotawatt","description":"Dashboard for EmonTX sensor for TDM project","readme":"TDM dashboard for IoTaWatt","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-12-16T09:14:19.000Z","updatedAt":"2022-12-16T09:14:38.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17636"},{"rel":"revisions","href":"/dashboards/17636/revisions"},{"rel":"revision","href":"/dashboards/17636/revisions/1"},{"rel":"download","href":"/dashboards/17636/revisions/1/download"},{"rel":"org","href":"/orgs/lmssdd"},{"rel":"images","href":"/dashboards/17636/images"},{"rel":"thumbnails","href":"/dashboards/17636/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19953,"status":1,"statusCode":"active","orgId":550907,"orgSlug":"tdengine","orgName":"TDengine","slug":"dbmart-power-plants-demo","downloads":552,"revisionId":30670,"revision":1,"name":"TDpower","description":"TDengine DBmart Real-time Power Plant Demo","readme":"# TDpower - TDengine DBmart Real-time Power Plant Demo\r\n\r\n![TDpower-overview](https://raw.githubusercontent.com/taosdata/grafanaplugin/f2c95e598ac2a9a8c8af5a6cc4f1dd4c1d496fdc/assets/TDpower-full.png)\r\n\r\nThe TDpower plugin is a real-time display plugin for the dynamic collection process of power plant data in TDengine Cloud as a Service DBMark. Installation and use are very simple, divided into two steps:\r\n\r\nI. Establish a data source connection\r\n\r\n1. Open the locally installed grafana page and select add new connection from the main menu.\r\n2. Enter TDengine Datasource in the search box, and the TDengine data source connection plugin will appear below\r\n3. Click the plugin, go to the plugin installation page, click Install, ignore this step if the plugin is already installed\r\n4. Return to the main menu and select Data sources, click to enter the page, and click the add new data source button in the upper right corner of the page.\r\n5. Search box appears, enter TDengine Datasource, click this plugin\r\n6. Enter the plugin data source configuration page, the content configured inside needs to login https://cloud.tdengine.com/ go here to get the data source connection information, specifically in the tools - > grafana plugin - > Add Data Source column has detailed instructions\r\n7. After the configuration is completed, click the save & test button, and the test connection is correct.\r\n8. Open https://cloud.tdengine.com/ , go to the DBMark page, and open “Real-time Power Plants Demo with Streaming Data from Aveva PI” shared library\r\n\r\nII. Install the TDpower plugin\r\n\r\n1. Open the grafana main page and select Dashborads from the main menu.\r\n2. After entering the Dashborads page, click the new button in the upper right corner and select the third item import.\r\n3. Enter the import page, enter the ID of the TDpower plugin in the box with the Dashborad URL or ID, and click the load button on the right to load it.\r\n4. After entering the plugin configuration page, enter the name you want to name the plugin. You don’t need to modify anything else. Just select the data source established in the above step in Select Data Source.\r\n5. After filling in the above, click the import button to complete the import.\r\n6. In this way, the plugin page is displayed in front of you. Click the refresh cycle to refresh regularly, and the dynamic data can be updated in real time.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"TDengine Datasource","privacy":"public","createdAt":"2023-11-10T08:22:05.000Z","updatedAt":"2023-11-10T10:04:21.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19953"},{"rel":"revisions","href":"/dashboards/19953/revisions"},{"rel":"revision","href":"/dashboards/19953/revisions/1"},{"rel":"download","href":"/dashboards/19953/revisions/1/download"},{"rel":"org","href":"/orgs/tdengine"},{"rel":"images","href":"/dashboards/19953/images"},{"rel":"thumbnails","href":"/dashboards/19953/thumbnails"}],"datasourceSlugs":["tdengine-datasource"]},{"id":19910,"status":1,"statusCode":"active","orgId":977641,"orgSlug":"cloudtdengine","orgName":"cloudtdengine","slug":"tdsmeters-dshow","downloads":338,"revisionId":30677,"revision":3,"name":"TDsmeters","description":"TDengine DBMark dmeters database show data","readme":"The TDsmeters plugin is a real-time display plugin for the dynamic collection process of smart meter data in TDengine Cloud as a Service DBMark.\r\nInstallation and use are very simple, divided into two steps:\r\n\r\nI. Establish a data source connection\r\n\r\n1. Open the locally installed grafana page and select add new connection from the main menu.\r\n2. Enter \"TDengine Datasource\" in the search box, and the \"TDengine DataSource\" connection plugin will appear\r\n3. Click the plugin, enter the plugin installation page, then click Install (ignore this step if the plugin is already installed)\r\n4. Return to the main menu and click \"Data Sources\" menu,  and click the \"add new data source\" button in the upper right corner of the page.\r\n5. Search box appears, enter \"TDengine DataSource\", click this plugin\r\n6. Enter the plugin data source configuration page, how to fill  according to https://cloud.tdengine.com/ helping document is tools - > grafana plugin - > Add Data Source\r\n7. After the configuration is completed, click the \"save & test\" button, and the test connection is correct.\r\n8. Open https://cloud.tdengine.com/ , go to the DBMark page, and open \"the real-time collection of smart meters\" shared library\r\n\r\nII. Install the TDsmeters plugin\r\n1. Open the grafana main page and select Dashborads from the main menu.\r\n2. After opening the Dashborads page, click the \"new\" button in the upper right corner and select  \"import\".\r\n3. Fill the ID: 19910 in the textbox that tips whith text \"Dashborad URL or ID\", and click the load button on the right to load it.\r\n4. Continuously fill  the plugin name you want to name and select the data source established in the above step in Select Data Source.\r\n5. After filling in the above, click the \"import\" button\r\n6. In this way, the plugin page is displayed in front of you. ","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"TDengine Datasource","privacy":"public","createdAt":"2023-11-05T14:09:43.000Z","updatedAt":"2023-11-13T03:05:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19910"},{"rel":"revisions","href":"/dashboards/19910/revisions"},{"rel":"revision","href":"/dashboards/19910/revisions/3"},{"rel":"download","href":"/dashboards/19910/revisions/3/download"},{"rel":"org","href":"/orgs/cloudtdengine"},{"rel":"images","href":"/dashboards/19910/images"},{"rel":"thumbnails","href":"/dashboards/19910/thumbnails"}],"datasourceSlugs":["tdengine-datasource"]},{"id":11669,"status":1,"statusCode":"active","orgId":342502,"orgSlug":"condoamanti","orgName":"condoamanti","slug":"teamcity","downloads":1117,"revisionId":16584,"revision":2,"name":"TeamCity","description":"TeamCity 2019.2 metrics dashboard","readme":"### ***Requirements:***\r\n1. TeamCity Enterprise 2019.2+\r\n\t- Bearer token created for service user.\r\n\r\n### ***Metrics Captured:***\r\n- server_uptime_milliseconds\r\n- buildConfigurations_number\r\n- projects_active_number\r\n- vcsRoots_number\r\n- cpu_count_number\r\n- agents_connected_authorized_number\r\n- builds_running_number\r\n- builds_queued_number\r\n- jvm_memory_used_bytes{id='PS Eden Space'}\r\n- jvm_memory_used_bytes{id='PS Old Gen'}\r\n- jvm_memory_used_bytes{id='PS Survivor Space'}\r\n- jvm_memory_used_bytes{id='Code Cache'}\r\n- jvm_memory_used_bytes{id='Compressed Class Space'}\r\n- jvm_memory_used_bytes{id='Metaspace'}\r\n- httpSessions_active_number\r\n- users_active_number\r\n- jvm_threads_number\r\n\r\n### ***Collector Configuration:***\r\n- [/opt/prometheus/prometheus.yml](https://github.com/Condoamanti/grafana/blob/master/dashboard/teamcity/opt/prometheus/prometheus.yml)\r\n\r\n```\r\n  - job_name: \"teamcity\"\r\n    metrics_path: \"/app/metrics\"\r\n    scheme: https\r\n    static_configs:\r\n    - targets: ['teamcity.domain.local']\r\n    tls_config:\r\n      insecure_skip_verify: true\r\n    bearer_token: \"<SCRUBBED>\"\r\n```\r\n### ***GitHub Repository:***\r\n- [https://github.com/Condoamanti/grafana_dashboard_teamcity](https://github.com/Condoamanti/grafana/tree/master/dashboard/teamcity)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-29T17:48:24.000Z","updatedAt":"2021-05-04T00:53:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/11669"},{"rel":"revisions","href":"/dashboards/11669/revisions"},{"rel":"revision","href":"/dashboards/11669/revisions/2"},{"rel":"download","href":"/dashboards/11669/revisions/2/download"},{"rel":"org","href":"/orgs/condoamanti"},{"rel":"images","href":"/dashboards/11669/images"},{"rel":"thumbnails","href":"/dashboards/11669/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11903,"status":1,"statusCode":"active","orgId":360318,"orgSlug":"tilmannf","orgName":"tilmannf","slug":"teamspeak","downloads":356,"revisionId":16889,"revision":1,"name":"Teamspeak","description":"Sample dashboard for GitHub project https://github.com/TilmannF/teamspeak-prometheus","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-14T16:43:02.000Z","updatedAt":"2020-03-14T16:45:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11903"},{"rel":"revisions","href":"/dashboards/11903/revisions"},{"rel":"revision","href":"/dashboards/11903/revisions/1"},{"rel":"download","href":"/dashboards/11903/revisions/1/download"},{"rel":"org","href":"/orgs/tilmannf"},{"rel":"images","href":"/dashboards/11903/images"},{"rel":"thumbnails","href":"/dashboards/11903/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3020,"status":1,"statusCode":"active","orgId":80216,"orgSlug":"thannaske","orgName":"thannaske","slug":"teamspeak-3","downloads":563,"revisionId":4154,"revision":1,"name":"Teamspeak 3 Metrics (InfluxDB)","description":"Visualize collected metrics of all virtual server instances of a single Teamspeak 3 server using InfluxDB and Telegraf in combination with the telegraf-teamspeak3 executable script.","readme":"A single Teamspeak 3 server is able to host multiple virtual server instances. Depending on your license (Free, NPL, AHP, etc.) you are allowed to create more than one of those virtual server instance. Keep informed about the clients, bandwidth usage and packetloss using Telegraf and InfluxDB in combination with Grafana to visualize all key metrics of your virtual server(s). The metrics are collected via Teamspeak 3 ServerQuery which is a powerful command line interface to manage and monitor your (virtual) servers.\r\n\r\nThe necessary Telegraf executable is available on GitHub: https://github.com/thannaske/telegraf-teamspeak3  ","collectorType":"Telegraf","collectorConfig":"## Get Started\r\nMake sure you have InfluxDB and Influx Telegraf up an running on a server that is able to reach your Teamspeak 3 Server Query. You will need a Go compiler and Git to clone and build the telegraf-teamspeak3 exec script.\r\n\r\n## Get & build the Telegraf script\r\n**GitHub**: https://github.com/thannaske/telegraf-teamspeak3  \r\nCompilation: Set `$GOPATH` and use `go build` to build the collector script\r\n\r\n## Configure Telegraf\r\nGo to the Telegraf configuration (usually located under `/etc/telegraf/telegraf.conf` and head to the `input` section in the configuration file. Find the `exec` plugin and add the absolute path to your built telegraf-teamspeak3 collector script. The script allows three arguments for configuration:\r\n- `-server`\r\n- `-username`\r\n- `-password`\r\n\r\nBy default `server` is set to `127.0.0.1:10011`, `username` is set to `serveradmin` and `password` remains empty. If you are running your Teamspeak 3 server with basic configuration and default ServerQuery user on the same server where you have installed Telegraf, you only need to specify your ServerQuery user's password (e.g. `-password=\"1234\"`). Just append the arguments behind the absolute path to the executable in your `input`/`exec` configuration section of Telegraf.","collectorPluginList":"exec","datasource":"InfluxDB","privacy":"public","createdAt":"2017-08-21T08:25:30.000Z","updatedAt":"2017-08-21T08:42:37.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3020"},{"rel":"revisions","href":"/dashboards/3020/revisions"},{"rel":"revision","href":"/dashboards/3020/revisions/1"},{"rel":"download","href":"/dashboards/3020/revisions/1/download"},{"rel":"org","href":"/orgs/thannaske"},{"rel":"images","href":"/dashboards/3020/images"},{"rel":"thumbnails","href":"/dashboards/3020/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21824,"status":1,"statusCode":"active","orgId":1212767,"orgSlug":"donidodol1st","orgName":"donidodol1st","slug":"teamspeak-3-metrics-influxdb","downloads":248,"revisionId":34150,"revision":1,"name":"Teamspeak 3 Metrics (InfluxDB)","description":"Visualize collected metrics of all virtual server instances of a single Teamspeak 3 server using InfluxDB and Telegraf in combination with the telegraf-teamspeak3 executable script.","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-09-04T02:33:30.000Z","updatedAt":"2024-09-04T02:37:16.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21824"},{"rel":"revisions","href":"/dashboards/21824/revisions"},{"rel":"revision","href":"/dashboards/21824/revisions/1"},{"rel":"download","href":"/dashboards/21824/revisions/1/download"},{"rel":"org","href":"/orgs/donidodol1st"},{"rel":"images","href":"/dashboards/21824/images"},{"rel":"thumbnails","href":"/dashboards/21824/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":5276,"status":1,"statusCode":"active","orgId":134594,"orgSlug":"martindines","orgName":"martindines","slug":"teamspeak-3-overview","downloads":453,"revisionId":7034,"revision":1,"name":"Teamspeak 3 Statistics","description":"Visualise Teamspeak 3 virtual server data provided by collectd","readme":"# About\r\n\r\nThis dashboard relies graphite-carbon, collectd, and a collectd plugin, to gather and collate Teamspeak 3 Server statistics. The collectd plugin, written in python, will provide collectd with data from each virtual server instance.\r\n\r\nThis plugin can be found at [https://github.com/martindines/collectd_ts3](https://github.com/martindines/collectd_ts3)\r\n\r\nShoutout to [thannaske](https://grafana.com/orgs/thannaske) for heavily inspiring the presentation of this data. Check out his [Teamspeak 3 Metrics (InfluxDB)](https://grafana.com/dashboards/3020) dashboard","collectorType":"collectd","collectorConfig":"## Configure graphite-carbon\r\n\r\nGraphite Carbon is used to aggregate data from collectd. To enable aggregation, a schema must be specified, commonly defined in `/etc/carbon/storage-schemas.conf`:\r\n\r\n```\r\n[collectd]\r\npattern = ^collectd.*\r\nretentions = 10s:1d,1m:7d,10m:1y\r\n```\r\n\r\n\r\n## Configure collectd\r\n\r\nConfigure collectd to execute the Python plugin using the following configuration, commonly defined in ` /etc/collectd/collectd.conf`, replacing placeholders with your server values\r\n\r\n```\r\nLoadPlugin python\r\n<Plugin python>\r\n  ModulePath \"SCRIPT_PATH\"\r\n  LogTraces true\r\n  Interactive false\r\n  Import collectd_ts3\r\n  <Module collectd_ts3>\r\n      Host \"TEAMSPEAK3_SERVER_QUERY_HOST\"\r\n      Port \"TEAMSPEAK3_SERVER_QUERY_PORT\"\r\n      Username \"TEAMSPEAK3_SERVER_QUERY_USERNAME\"\r\n      Password \"TEAMSPEAK3_SERVER_QUERY_PASSWORD\"\r\n  </Module>\r\n</Plugin>\r\n```\r\n\r\n\r\n|Placeholder|Value|Example|\r\n|---|---|---|\r\n|SCRIPT_PATH|Path to directory containing collectd_ts3.py|/opt/collectd/|\r\n|TEAMSPEAK3_SERVER_QUERY_HOST|Teamspeak 3 Server Query Host|127.0.0.1|\r\n|TEAMSPEAK3_SERVER_QUERY_PORT|Teamspeak 3 Server Query Port|10011|\r\n|TEAMSPEAK3_SERVER_QUERY_USERNAME|Teamspeak 3 Server Query Username|serveradmin|\r\n|TEAMSPEAK3_SERVER_QUERY_PASSWORD|Teamspeak 3 Server Query Password||\r\n\r\n","collectorPluginList":"Carbon plugin","datasource":"Graphite","privacy":"public","createdAt":"2018-03-28T00:13:54.000Z","updatedAt":"2018-07-09T09:17:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5276"},{"rel":"revisions","href":"/dashboards/5276/revisions"},{"rel":"revision","href":"/dashboards/5276/revisions/1"},{"rel":"download","href":"/dashboards/5276/revisions/1/download"},{"rel":"org","href":"/orgs/martindines"},{"rel":"images","href":"/dashboards/5276/images"},{"rel":"thumbnails","href":"/dashboards/5276/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":11403,"status":1,"statusCode":"active","orgId":320504,"orgSlug":"nminaker","orgName":"nminaker","slug":"technical-support-statistics-dashboard","downloads":628,"revisionId":16004,"revision":1,"name":"Technical Support Statistics Dashboard","description":"This is a modification of https://grafana.com/grafana/dashboards/10840 by leandro4gl.  Thanks for your initial dashboard. It was very helpful to create this one.","readme":"This is a modification of https://grafana.com/grafana/dashboards/10840 by leandro4gl.  Thanks for your initial dashboard. It was very helpful to create this one.  \n\nThis dashboard shows many statistics from the osTicket ticket system for technical support.\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"MySQL","privacy":"public","createdAt":"2019-12-12T16:44:36.000Z","updatedAt":"2019-12-12T16:51:40.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11403"},{"rel":"revisions","href":"/dashboards/11403/revisions"},{"rel":"revision","href":"/dashboards/11403/revisions/1"},{"rel":"download","href":"/dashboards/11403/revisions/1/download"},{"rel":"org","href":"/orgs/nminaker"},{"rel":"images","href":"/dashboards/11403/images"},{"rel":"thumbnails","href":"/dashboards/11403/thumbnails"}],"datasourceSlugs":["mysql"]},{"id":24977,"status":1,"statusCode":"active","orgId":1691910,"orgSlug":"sonirico","orgName":"sonirico","slug":"technitium-dns","downloads":54,"revisionId":40121,"revision":1,"name":"Technitium DNS","description":"Lightweight Prometheus dashboard for Technitium DNS Server.","readme":"Lightweight Prometheus dashboard for Technitium DNS Server. Displays query stats (allowed/blocked/cached), ad-block rate, record type and protocol breakdown, top clients, top queried and blocked domains. Pair with [sonirico/technitium-exporter](https://github.com/sonirico/technitium-exporter).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-03-07T20:48:26.000Z","updatedAt":"2026-03-07T20:53:17.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24977"},{"rel":"revisions","href":"/dashboards/24977/revisions"},{"rel":"revision","href":"/dashboards/24977/revisions/1"},{"rel":"download","href":"/dashboards/24977/revisions/1/download"},{"rel":"org","href":"/orgs/sonirico"},{"rel":"images","href":"/dashboards/24977/images"},{"rel":"thumbnails","href":"/dashboards/24977/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24555,"status":1,"statusCode":"active","orgId":1616734,"orgSlug":"guycalledseven","orgName":"guycalledseven","slug":"technitium-dns-exporter","downloads":387,"revisionId":40643,"revision":3,"name":"Technitium DNS Exporter","description":"Technitium DNS Dashboard (Python Exporter). Shows snapshot DNS stats for the selected Technitium stats window (LastHour / LastDay / etc) plus time-series trends calculated by Prometheus.","readme":"Dashboard for [Technitium DNS Prometheus Exporter](https://github.com/guycalledseven/technitium-dns-prometheus-exporter) https://github.com/guycalledseven/technitium-dns-prometheus-exporter.\r\n\r\nInspired by pihole-exporter and Pi-hole Exporter Grafana dashboard. After migrating from Pi-hole to Technitium, I couldn’t find any exporter that provided the metrics I needed while remaining simple and reliable — so I built one.\r\n\r\nSupports **Realtime and Window-based metrics**: Supports monotonic counters since server start (Realtime Metrics) from Technitium's v15 and window based metrics (Traffic Overview)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-12-12T18:44:04.000Z","updatedAt":"2026-05-02T20:52:11.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24555"},{"rel":"revisions","href":"/dashboards/24555/revisions"},{"rel":"revision","href":"/dashboards/24555/revisions/3"},{"rel":"download","href":"/dashboards/24555/revisions/3/download"},{"rel":"org","href":"/orgs/guycalledseven"},{"rel":"images","href":"/dashboards/24555/images"},{"rel":"thumbnails","href":"/dashboards/24555/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11556,"status":1,"statusCode":"active","orgId":179339,"orgSlug":"stadtfabrikanten","orgName":"Stadtfabrikanten e.V.","slug":"teedy","downloads":386,"revisionId":28668,"revision":3,"name":"Teedy","description":"","readme":"A Grafana monitoring dashboard for Teedy (Sismics Docs) statistics. Helpful to have a look over security things and the effort you put in your instance. It is a dashboard to accumulate information to represent more and special information (statistics). It contains a lot of examples to grab metadata and tag tree and much more. Language is german but the sql statements give enough hints to work with.\r\n\r\nPlease check if this is okay for your own use - regarding privacy protection of the mates working together on the same instance.\r\n\r\nSee https://fablabchemnitz.de/pages/viewpage.action?pageId=57770827 for details about installation.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2020-01-13T19:44:02.000Z","updatedAt":"2023-05-07T20:48:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11556"},{"rel":"revisions","href":"/dashboards/11556/revisions"},{"rel":"revision","href":"/dashboards/11556/revisions/3"},{"rel":"download","href":"/dashboards/11556/revisions/3/download"},{"rel":"org","href":"/orgs/stadtfabrikanten"},{"rel":"images","href":"/dashboards/11556/images"},{"rel":"thumbnails","href":"/dashboards/11556/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":16559,"status":1,"statusCode":"active","orgId":676191,"orgSlug":"shaowenchen","orgName":"shaowenchen","slug":"tekton-overview","downloads":1439,"revisionId":25280,"revision":1,"name":"Tekton Overview","description":"This is a dashboard for Tekton.\r\n","readme":"This is a dashboard for Tekton.\r\nRequirement:\r\n- set `- --metric-labels-allowlist=pods=[*]` for kube-state-metrics","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-07-08T08:44:37.000Z","updatedAt":"2022-07-08T09:06:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16559"},{"rel":"revisions","href":"/dashboards/16559/revisions"},{"rel":"revision","href":"/dashboards/16559/revisions/1"},{"rel":"download","href":"/dashboards/16559/revisions/1/download"},{"rel":"org","href":"/orgs/shaowenchen"},{"rel":"images","href":"/dashboards/16559/images"},{"rel":"thumbnails","href":"/dashboards/16559/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16296,"status":1,"statusCode":"active","orgId":648938,"orgSlug":"maria16","orgName":"maria16","slug":"teku","downloads":261,"revisionId":24795,"revision":1,"name":"Teku","description":"Dashboard to monitor multiple Teku instances on the same beacon chain","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-05-18T14:16:22.000Z","updatedAt":"2022-05-18T14:16:40.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16296"},{"rel":"revisions","href":"/dashboards/16296/revisions"},{"rel":"revision","href":"/dashboards/16296/revisions/1"},{"rel":"download","href":"/dashboards/16296/revisions/1/download"},{"rel":"org","href":"/orgs/maria16"},{"rel":"images","href":"/dashboards/16296/images"},{"rel":"thumbnails","href":"/dashboards/16296/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17437,"status":1,"statusCode":"active","orgId":746557,"orgSlug":"anol","orgName":"anol","slug":"teku","downloads":270,"revisionId":26788,"revision":1,"name":"Teku","description":"Dashboard to monitor multiple Teku instances on the same beacon chain","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-18T16:39:39.000Z","updatedAt":"2022-11-18T16:41:49.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17437"},{"rel":"revisions","href":"/dashboards/17437/revisions"},{"rel":"revision","href":"/dashboards/17437/revisions/1"},{"rel":"download","href":"/dashboards/17437/revisions/1/download"},{"rel":"org","href":"/orgs/anol"},{"rel":"images","href":"/dashboards/17437/images"},{"rel":"thumbnails","href":"/dashboards/17437/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16737,"status":1,"statusCode":"active","orgId":254595,"orgSlug":"consensys","orgName":"Consensys","slug":"teku-detailed","downloads":1188,"revisionId":39159,"revision":15,"name":"Teku - Detailed","description":"Dashboard to monitor multiple Teku instances.","readme":"Provides a dashboard showing detailed information for one or more Teku nodes. The required data is exported directly from Teku to a Prometheus data store. The dashboard includes support for filtering the Teku nodes to show based on network (if the `network` label is applied to data) and between development and production nodes (if the `alerting` label is applied to data).\r\n\r\nMany elements on this dashboard may be fairly meaningless to someone not familiar with the details of Teku and the metrics used may change between different Teku releases. It is intended that this dashboard be used as a source of examples for useful data that can be extracted from Teku metrics and visualised rather than used as-is.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, Prometheus","privacy":"public","createdAt":"2022-08-19T03:18:38.000Z","updatedAt":"2025-11-27T02:38:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16737"},{"rel":"revisions","href":"/dashboards/16737/revisions"},{"rel":"revision","href":"/dashboards/16737/revisions/15"},{"rel":"download","href":"/dashboards/16737/revisions/15/download"},{"rel":"org","href":"/orgs/consensys"},{"rel":"images","href":"/dashboards/16737/images"},{"rel":"thumbnails","href":"/dashboards/16737/thumbnails"}],"datasourceSlugs":["__expr__","prometheus"]},{"id":13457,"status":1,"statusCode":"active","orgId":254595,"orgSlug":"consensys","orgName":"Consensys","slug":"teku-dashboard","downloads":2697,"revisionId":28052,"revision":9,"name":"Teku Dashboard","description":"Dashboard to monitor multiple Teku instances on the same beacon chain","readme":"Provides a dashboard for monitoring one or more Teku nodes which are all on the same beacon chain. The required data is exported directly from Teku to a Prometheus data store. See the [documentation](https://docs.teku.consensys.net/how-to/monitor/use-metrics) on how to configure Teku and Prometheus.\r\n\r\nThe dashboard provides information on how well connected Teku is to the network, current, justified and finalized slot and epoch information, along with CPU and memory usage statistics.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-23T22:11:37.000Z","updatedAt":"2023-10-19T01:59:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13457"},{"rel":"revisions","href":"/dashboards/13457/revisions"},{"rel":"revision","href":"/dashboards/13457/revisions/9"},{"rel":"download","href":"/dashboards/13457/revisions/9/download"},{"rel":"org","href":"/orgs/consensys"},{"rel":"images","href":"/dashboards/13457/images"},{"rel":"thumbnails","href":"/dashboards/13457/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12523,"status":1,"statusCode":"active","orgId":254377,"orgSlug":"ajsutton","orgName":"Adrian Sutton","slug":"teku-monitor","downloads":409,"revisionId":18680,"revision":2,"name":"Teku Monitor","description":"Dashboard Teku Beacon Chain Nodes","readme":"Provides a dashboard for monitoring a Teku Ethereum 2 node. The required data is exported directly from Teku to a Prometheus data store. See the [documentation](https://docs.teku.pegasys.tech/en/latest/HowTo/Monitor/Metrics/) on how to configure Teku and Prometheus.\r\n\r\nThe dashboard provides information on how well connected Teku is to the network, current, justified and finalized slot and epoch information, along with CPU and memory usage statistics.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-06-24T20:54:23.000Z","updatedAt":"2020-08-28T22:09:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12523"},{"rel":"revisions","href":"/dashboards/12523/revisions"},{"rel":"revision","href":"/dashboards/12523/revisions/2"},{"rel":"download","href":"/dashboards/12523/revisions/2/download"},{"rel":"org","href":"/orgs/ajsutton"},{"rel":"images","href":"/dashboards/12523/images"},{"rel":"thumbnails","href":"/dashboards/12523/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12199,"status":1,"statusCode":"active","orgId":254595,"orgSlug":"consensys","orgName":"Consensys","slug":"teku-overview","downloads":1749023,"revisionId":17377,"revision":1,"name":"Teku Overview","description":"Provides an overview of Teku nodes","readme":"Teku Overview\r\n=================\r\n\r\nProvides a dashboard for monitoring a Teku Ethereum 2 node. The required data is exported directly from Teku to a Prometheus data store. See the [documentation](https://docs.teku.consensys.net/how-to/monitor/use-metrics) on how to configure Teku and Prometheus.\r\n\r\nThe dashboard provides information on how well connected Teku is to the network, current, justified and finalized slot and epoch information, along with CPU and memory usage statistics.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-29T04:06:41.000Z","updatedAt":"2023-10-19T02:02:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12199"},{"rel":"revisions","href":"/dashboards/12199/revisions"},{"rel":"revision","href":"/dashboards/12199/revisions/1"},{"rel":"download","href":"/dashboards/12199/revisions/1/download"},{"rel":"org","href":"/orgs/consensys"},{"rel":"images","href":"/dashboards/12199/images"},{"rel":"thumbnails","href":"/dashboards/12199/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12522,"status":1,"statusCode":"active","orgId":394938,"orgSlug":"benjaminion","orgName":"benjaminion","slug":"teku-overview","downloads":344,"revisionId":19615,"revision":2,"name":"Teku Overview","description":"Provides an overview of a Teku node","readme":"Use this as a basis for building your own dashboards for the Teku Ethereum 2.0 node :-)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-06-24T12:50:21.000Z","updatedAt":"2020-11-22T13:34:26.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12522"},{"rel":"revisions","href":"/dashboards/12522/revisions"},{"rel":"revision","href":"/dashboards/12522/revisions/2"},{"rel":"download","href":"/dashboards/12522/revisions/2/download"},{"rel":"org","href":"/orgs/benjaminion"},{"rel":"images","href":"/dashboards/12522/images"},{"rel":"thumbnails","href":"/dashboards/12522/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16286,"status":1,"statusCode":"active","orgId":636677,"orgSlug":"jgausachs","orgName":"jgausachs","slug":"teku-overview","downloads":263,"revisionId":24760,"revision":1,"name":"Teku Overview","description":"Provides an overview of Teku nodes","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-05-17T10:17:29.000Z","updatedAt":"2022-05-17T10:17:49.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16286"},{"rel":"revisions","href":"/dashboards/16286/revisions"},{"rel":"revision","href":"/dashboards/16286/revisions/1"},{"rel":"download","href":"/dashboards/16286/revisions/1/download"},{"rel":"org","href":"/orgs/jgausachs"},{"rel":"images","href":"/dashboards/16286/images"},{"rel":"thumbnails","href":"/dashboards/16286/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2597,"status":1,"statusCode":"active","orgId":71747,"orgSlug":"salosh","orgName":"salosh","slug":"telastic","downloads":1926,"revisionId":3893,"revision":3,"name":"Telastic","description":"Elastic based telegraf metrics dashboard","readme":"Displays a Grafana dashboard of Telegraf collected metrics stored in Elastic","collectorType":"Telegraf","collectorConfig":"Configuration for Elasticsearch to send metrics to.\r\n\r\n1. Edit /etc/telegraf/telegraf.conf\r\n```\r\n [[outputs.elasticsearch]]\r\n   urls = [ \"http://your.elastic.server:9200\" ] # required.\r\n   timeout = \"5s\"\r\n   enable_sniffer = false\r\n   health_check_interval = \"10s\"\r\n   index_name = \"telegraf-%Y.%m.%d\" # required.\r\n   manage_template = true\r\n   template_name = \"telegraf\"\r\n   overwrite_template = false\r\n```\r\n\r\n2. You must also enable metrics indexing, \r\nset your current template configuration for the 'telegraf' index by copying the JSON from the following URL:\r\n<https://github.com/influxdata/telegraf/tree/master/plugins/outputs/elasticsearch#template-management>\r\n\r\n3. change every \"index: false\" to \"index: true\"\r\n\r\n4. Update your current template to reflect those changes\r\n```\r\ncurl -XPUT 'http://your.elastic.server:9200/_template/telegraf' -d template.json -H 'Content-Type: application/json'\r\n```","collectorPluginList":"elasticsearch","datasource":"Elasticsearch","privacy":"public","createdAt":"2017-07-09T16:47:50.000Z","updatedAt":"2017-08-03T18:42:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2597"},{"rel":"revisions","href":"/dashboards/2597/revisions"},{"rel":"revision","href":"/dashboards/2597/revisions/3"},{"rel":"download","href":"/dashboards/2597/revisions/3/download"},{"rel":"org","href":"/orgs/salosh"},{"rel":"images","href":"/dashboards/2597/images"},{"rel":"thumbnails","href":"/dashboards/2597/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":12224,"status":1,"statusCode":"active","orgId":377780,"orgSlug":"derjd","orgName":"derjd","slug":"influxtelegraf","downloads":770,"revisionId":17418,"revision":1,"name":"Telegraf","description":"Telegraf dashboard intended to give you a general system overview.","readme":"","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.cpu]]\r\n  percpu = true\r\n  report_active = true\r\n  totalcpu = true\r\n[[inputs.disk]]\r\n  ignore_fs = [\"dev\", \"run\", \"shm\", \"gpfs\", \"proc\", \"udev\", \"tmpfs\", \"autofs\", \"devpts\", \"devtmpfs\"]\r\n[[inputs.haproxy]]\r\nservers = [\"/var/run/haproxy.sock\"]\r\n[[inputs.docker]]\r\n  total = true\r\n[[inputs.internal]]\r\n[[inputs.io]]\r\n  name_templates = [\"$ID_FS_LABEL\", \"$DM_VG_NAME/$DM_LV_NAME\"]\r\n[[inputs.ipmi_sensor]]\r\n[[inputs.kernel]]\r\n[[inputs.linux_sysctl_fs]]\r\n[[inputs.mem]]\r\n[[inputs.net]]\r\n  interfaces = [\"lo\", \"br*\", \"eth*\", \"enp*\", \"ens*\", \"wlp*\", \"vlan*\", \"vxlan*\", \"virbr*\", \"docker*\"]\r\n[[inputs.netstat]]\r\n[[inputs.processes]]\r\n[[inputs.puppetagent]]\r\n  location = \"/opt/puppetlabs/puppet/cache/state/last_run_summary.yaml\"\r\n[[inputs.sensors]]\r\n  remove_numbers = false\r\n[[inputs.smart]]\r\n  use_sudo = true\r\n[[inputs.swap]]\r\n[[inputs.system]]\r\n[[inputs.zfs]]\r\n  poolMetrics = true\r\n```","collectorPluginList":"docker, haproxy, puppetagent, rabbitmq, zfs, system","datasource":"InfluxDB","privacy":"public","createdAt":"2020-05-03T13:54:56.000Z","updatedAt":"2020-05-03T14:18:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12224"},{"rel":"revisions","href":"/dashboards/12224/revisions"},{"rel":"revision","href":"/dashboards/12224/revisions/1"},{"rel":"download","href":"/dashboards/12224/revisions/1/download"},{"rel":"org","href":"/orgs/derjd"},{"rel":"images","href":"/dashboards/12224/images"},{"rel":"thumbnails","href":"/dashboards/12224/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":6957,"status":1,"statusCode":"active","orgId":168036,"orgSlug":"bmailhe","orgName":"bmailhe","slug":"telegraf-prod-sysstat","downloads":827,"revisionId":9477,"revision":1,"name":"Telegraf  Sysstat","description":"This Dashboard provides a detailled overview of a Linux system. You need a custom telegraf script to get the \"Disk IO utilization (%)\" working.","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2018-07-13T08:09:47.000Z","updatedAt":"2018-07-13T08:21:14.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6957"},{"rel":"revisions","href":"/dashboards/6957/revisions"},{"rel":"revision","href":"/dashboards/6957/revisions/1"},{"rel":"download","href":"/dashboards/6957/revisions/1/download"},{"rel":"org","href":"/orgs/bmailhe"},{"rel":"images","href":"/dashboards/6957/images"},{"rel":"thumbnails","href":"/dashboards/6957/thumbnails"}]},{"id":5955,"status":1,"statusCode":"active","orgId":146256,"orgSlug":"jmutai","orgName":"jmutai","slug":"telegraf-system-metrics","downloads":11640,"revisionId":8130,"revision":1,"name":"Telegraf - system metrics","description":"InfluxDB dashboards for telegraf metrics","readme":"This Grafana dashboard uses templating with a number of variables defined.\r\n\r\nYou can visualize the following data from it:\r\n\r\n- Server uptime\r\n- Server memory utilization - Used, cached, free\r\n- Cpu utilization - Load average and usage\r\n- Number of CPU cores and each cpu utilization\r\n- Processes - stopped, sleeping, running e.t.c\r\n- Disk Utilization - Free and used space for / and all othe system partitions\r\n- Disk Inodes - / and all othe partitions in the system\r\n- Swap - usage and IO\r\n- Disk IO - requests, bytes and time","collectorType":"Telegraf","collectorConfig":"## Telegraf inputs configuration\r\n\r\n```\r\n[[inputs.cpu]]\r\n    percpu = true\r\n    totalcpu = true\r\n    collect_cpu_time = false\r\n    report_active = false\r\n[[inputs.disk]]\r\n    ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\"]\r\n[[inputs.io]]\r\n[[inputs.mem]]\r\n[[inputs.net]]\r\n[[inputs.system]]\r\n[[inputs.swap]]\r\n[[inputs.netstat]]\r\n[[inputs.processes]]\r\n[[inputs.kernel]]\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-05-07T18:21:22.000Z","updatedAt":"2018-05-07T18:38:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4.5,"links":[{"rel":"self","href":"/dashboards/5955"},{"rel":"revisions","href":"/dashboards/5955/revisions"},{"rel":"revision","href":"/dashboards/5955/revisions/1"},{"rel":"download","href":"/dashboards/5955/revisions/1/download"},{"rel":"org","href":"/orgs/jmutai"},{"rel":"images","href":"/dashboards/5955/images"},{"rel":"thumbnails","href":"/dashboards/5955/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9803,"status":1,"statusCode":"active","orgId":234886,"orgSlug":"aslaklaine","orgName":"aslaklaine","slug":"telegraf-system-metrics","downloads":334,"revisionId":13649,"revision":1,"name":"Telegraf - system metrics","description":"InfluxDB dashboards for telegraf metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-02-15T08:15:52.000Z","updatedAt":"2019-02-15T08:16:04.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9803"},{"rel":"revisions","href":"/dashboards/9803/revisions"},{"rel":"revision","href":"/dashboards/9803/revisions/1"},{"rel":"download","href":"/dashboards/9803/revisions/1/download"},{"rel":"org","href":"/orgs/aslaklaine"},{"rel":"images","href":"/dashboards/9803/images"},{"rel":"thumbnails","href":"/dashboards/9803/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14298,"status":1,"statusCode":"active","orgId":487351,"orgSlug":"babu26","orgName":"babu26","slug":"telegraf-system-metrics","downloads":302,"revisionId":21053,"revision":1,"name":"Telegraf - system metrics","description":"InfluxDB dashboards for telegraf metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-04-24T03:42:49.000Z","updatedAt":"2021-04-24T03:43:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14298"},{"rel":"revisions","href":"/dashboards/14298/revisions"},{"rel":"revision","href":"/dashboards/14298/revisions/1"},{"rel":"download","href":"/dashboards/14298/revisions/1/download"},{"rel":"org","href":"/orgs/babu26"},{"rel":"images","href":"/dashboards/14298/images"},{"rel":"thumbnails","href":"/dashboards/14298/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20762,"status":1,"statusCode":"active","orgId":1084740,"orgSlug":"xialeistudio","orgName":"xialeistudio","slug":"telegraf-system-metrics","downloads":702,"revisionId":32134,"revision":1,"name":"Telegraf - system metrics(InfluxDB 2.7+Telegraf 1.30)","description":"InfluxDB dashboards for telegraf metrics","readme":"This Grafana dashboard is an update version of https://grafana.com/grafana/dashboards/5955-telegraf-system-metrics/. \r\n\r\nYou can visualize the following data from it:\r\n\r\n+ Server uptime\r\n+ Server memory utilization - Used, cached, free\r\n+ Cpu utilization - Load average and usage\r\n+ Processes - stopped, sleeping, running e.t.c\r\n+ Disk Utilization - Free and used space for / and all othe system partitions\r\n+ Disk Inodes - / and all othe partitions in the system\r\n+ Disk IO - requests, bytes and time\r\n+ Network stats","collectorType":"Telegraf","collectorConfig":"```\r\n# Read metrics about cpu usage\r\n[[inputs.cpu]]\r\n  ## Whether to report per-cpu stats or not\r\n  percpu = true\r\n  ## Whether to report total system cpu stats or not\r\n  totalcpu = true\r\n  ## Comment this line if you want the raw CPU time metrics\r\n  fielddrop = [\"time_*\"]\r\n\r\n# Read metrics about disk usage by mount point\r\n[[inputs.disk]]\r\n  ## By default, telegraf gather stats for all mountpoints.\r\n  ## Setting mountpoints will restrict the stats to the specified mountpoints.\r\n  # mount_points = [\"/\"]\r\n  ## Ignore some mountpoints by filesystem type. For example (dev)tmpfs (usually\r\n  ## present on /run, /var/run, /dev/shm or /dev).\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\"]\r\n\r\n# Read metrics about disk IO by device\r\n[[inputs.diskio]]\r\n  ## By default, telegraf will gather stats for all devices including\r\n  ## disk partitions.\r\n  ## Setting devices will restrict the stats to the specified devices.\r\n  # devices = [\"sda\", \"sdb\"]\r\n  ## Uncomment the following line if you need disk serial numbers.\r\n  # skip_serial_number = false\r\n\r\n# Get kernel statistics from /proc/stat\r\n[[inputs.kernel]]\r\n  # no configuration\r\n\r\n# Read metrics about memory usage\r\n[[inputs.mem]]\r\n  # no configuration\r\n\r\n# Get the number of processes and group them by status\r\n[[inputs.processes]]\r\n  # no configuration\r\n\r\n# Read metrics about swap memory usage\r\n[[inputs.swap]]\r\n  # no configuration\r\n\r\n# Read metrics about system load & uptime\r\n[[inputs.system]]\r\n  # no configuration\r\n# Read metrics about network interface usage\r\n[[inputs.net]]\r\n  # collect data only about specific interfaces\r\n  # interfaces = [\"eth0\"]\r\n\r\n[[inputs.netstat]]\r\n  # no configuration\r\n[[inputs.interrupts]]\r\n  # no configuration\r\n[[inputs.linux_sysctl_fs]]\r\n  # no configuration\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-03-26T03:06:51.000Z","updatedAt":"2024-03-26T03:16:02.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20762"},{"rel":"revisions","href":"/dashboards/20762/revisions"},{"rel":"revision","href":"/dashboards/20762/revisions/1"},{"rel":"download","href":"/dashboards/20762/revisions/1/download"},{"rel":"org","href":"/orgs/xialeistudio"},{"rel":"images","href":"/dashboards/20762/images"},{"rel":"thumbnails","href":"/dashboards/20762/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17191,"status":1,"statusCode":"active","orgId":726774,"orgSlug":"darkwolfcave","orgName":"darkwolfcave","slug":"telegraf-raspberry-metrics-influxdb-2-0-flux","downloads":561,"revisionId":26415,"revision":1,"name":"Telegraf / Raspberry Metrics InfluxDB 2.0 (Flux)","description":"Dashboard for displaying basic raspberry (or other Linux) metrics. With telegraf and InfluxDB 2.x (FLUX)","readme":"Raspberry basic metrics for InfluxDB 2.x (FLUX) \r\n\r\nto collect some core-data the telegraf-user need access in the video group: \r\n\r\nsudo usermod -G video telegraf\r\n\r\nTemperature\\\r\nCPU usage\\\r\nRAM usage\\\r\nDisk usage\\\r\nSWAP usage\\\r\nNetwork usage\r\n\r\nafter some inquiries here is the link to a tutorial how to install influxdb 2.0 / grafana on a raspberry (german only):\r\nhttps://darkwolfcave.de/raspberry-pi-influxdb-2-telegraf-grafana-anzeigen/\r\n\r\n","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"system","datasource":"InfluxDB","privacy":"public","createdAt":"2022-10-15T18:38:55.000Z","updatedAt":"2023-03-22T16:36:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/17191"},{"rel":"revisions","href":"/dashboards/17191/revisions"},{"rel":"revision","href":"/dashboards/17191/revisions/1"},{"rel":"download","href":"/dashboards/17191/revisions/1/download"},{"rel":"org","href":"/orgs/darkwolfcave"},{"rel":"images","href":"/dashboards/17191/images"},{"rel":"thumbnails","href":"/dashboards/17191/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":1902,"status":1,"statusCode":"active","orgId":54654,"orgSlug":"davestephens","orgName":"David Stephens","slug":"windows-host-overview","downloads":9152,"revisionId":2532,"revision":1,"name":"Telegraf & Influx Windows Host Overview","description":"Windows host dashboard for telegraf metrics pumped into influxdb","readme":"A pretty (and functional!) dashboard for gaining a deep insight into the state of a Windows host. \r\n\r\nThe dashboard requires stats pumped in from Telegraf and stored in Influxdb, using the config supplied here - without it you'll find you have a few empty panels. \r\n\r\nInspired by [Lex Rivera's Telegraf System Overview](https://grafana.com/dashboards/914) and [Matt Saunders' Telegraf Windows Instances](https://grafana.com/dashboards/1635)\r\n\r\nSource available at [Github](https://github.com/ManDevOps/GrafanaWindowsHostDashboard)","collectorType":"Telegraf","collectorConfig":"Requires the following stats pulled from your Windows hosts via this Telegraf inputs config:\r\n````\r\n###############################################################################\r\n#                                  INPUTS                                     #\r\n###############################################################################\r\n\r\n[[inputs.win_perf_counters]]\r\n  [[inputs.win_perf_counters.object]]\r\n    # Processor usage, alternative to native, reports on a per core.\r\n    ObjectName = \"Processor\"\r\n    Instances = [\"*\"]\r\n    Counters = [\r\n      \"% Idle Time\",\r\n      \"% Interrupt Time\",\r\n      \"% Privileged Time\",\r\n      \"% User Time\",\r\n      \"% Processor Time\"\r\n    ]\r\n    Measurement = \"win_cpu\"\r\n    # Set to true to include _Total instance when querying for all (*).\r\n    #IncludeTotal=false\r\n\r\n  [[inputs.win_perf_counters.object]]\r\n    # Disk times and queues\r\n    ObjectName = \"LogicalDisk\"\r\n    Instances = [\"*\"]\r\n    Counters = [\r\n      \"% Idle Time\",\r\n      \"% Disk Time\",\r\n      \"% Disk Read Time\",\r\n      \"% Disk Write Time\",\r\n      \"% User Time\",\r\n      \"% Free Space\",\r\n      \"Current Disk Queue Length\",\r\n      \"Free Megabytes\",\r\n      \"Disk Read Bytes/sec\",\r\n      \"Disk Write Bytes/sec\"\r\n    ]\r\n    Measurement = \"win_disk\"\r\n    # Set to true to include _Total instance when querying for all (*).\r\n    #IncludeTotal=false\r\n\r\n  [[inputs.win_perf_counters.object]]\r\n    ObjectName = \"System\"\r\n    Counters = [\r\n      \"Context Switches/sec\",\r\n      \"System Calls/sec\",\r\n      \"Processor Queue Length\",\r\n      \"Threads\",\r\n      \"System Up Time\",\r\n      \"Processes\"\r\n    ]\r\n    Instances = [\"------\"]\r\n    Measurement = \"win_system\"\r\n    # Set to true to include _Total instance when querying for all (*).\r\n    #IncludeTotal=false\r\n\r\n  [[inputs.win_perf_counters.object]]\r\n    # Example query where the Instance portion must be removed to get data back,\r\n    # such as from the Memory object.\r\n    ObjectName = \"Memory\"\r\n    Counters = [\r\n      \"Available Bytes\",\r\n      \"Cache Faults/sec\",\r\n      \"Demand Zero Faults/sec\",\r\n      \"Page Faults/sec\",\r\n      \"Pages/sec\",\r\n      \"Transition Faults/sec\",\r\n      \"Pool Nonpaged Bytes\",\r\n      \"Pool Paged Bytes\"\r\n    ]\r\n    # Use 6 x - to remove the Instance bit from the query.\r\n    Instances = [\"------\"]\r\n    Measurement = \"win_mem\"\r\n    # Set to true to include _Total instance when querying for all (*).\r\n    #IncludeTotal=false\r\n\r\n  [[inputs.win_perf_counters.object]]\r\n    # more counters for the Network Interface Object can be found at\r\n    # https://msdn.microsoft.com/en-us/library/ms803962.aspx\r\n    ObjectName = \"Network Interface\"\r\n    Counters = [\r\n      \"Bytes Received/sec\",\r\n      \"Bytes Sent/sec\",\r\n      \"Packets Received/sec\",\r\n      \"Packets Sent/sec\"\r\n    ]\r\n    Instances = [\"*\"] # Use 6 x - to remove the Instance bit from the query.\r\n    Measurement = \"win_net\"\r\n    #IncludeTotal=false #Set to true to include _Total instance when querying for all (*).\r\n\r\n  [[inputs.win_perf_counters.object]]\r\n    # Process metrics\r\n    ObjectName = \"Process\"\r\n    Counters = [\r\n      \"% Processor Time\",\r\n      \"Handle Count\",\r\n      \"Private Bytes\",\r\n      \"Thread Count\",\r\n      \"Virtual Bytes\",\r\n      \"Working Set\"\r\n      ]\r\n    Instances = [\"*\"]\r\n    Measurement = \"win_proc\"\r\n    #IncludeTotal=false #Set to true to include _Total instance when querying for all (*).\r\n````","collectorPluginList":"win_perf_counters ","datasource":"InfluxDB","privacy":"public","createdAt":"2017-04-07T08:01:40.000Z","updatedAt":"2017-04-07T08:36:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":8,"reviewsAvgRating":4.12,"links":[{"rel":"self","href":"/dashboards/1902"},{"rel":"revisions","href":"/dashboards/1902/revisions"},{"rel":"revision","href":"/dashboards/1902/revisions/1"},{"rel":"download","href":"/dashboards/1902/revisions/1/download"},{"rel":"org","href":"/orgs/davestephens"},{"rel":"images","href":"/dashboards/1902/images"},{"rel":"thumbnails","href":"/dashboards/1902/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21874,"status":1,"statusCode":"active","orgId":1217915,"orgSlug":"monitoron","orgName":"monitoron","slug":"telegraf-influx-windows-host-overview","downloads":370,"revisionId":34225,"revision":1,"name":"Telegraf & Influx Windows Host Overview","description":"Windows host dashboard for telegraf metrics pumped into influxdb","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-09-11T07:26:42.000Z","updatedAt":"2024-09-11T07:27:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21874"},{"rel":"revisions","href":"/dashboards/21874/revisions"},{"rel":"revision","href":"/dashboards/21874/revisions/1"},{"rel":"download","href":"/dashboards/21874/revisions/1/download"},{"rel":"org","href":"/orgs/monitoron"},{"rel":"images","href":"/dashboards/21874/images"},{"rel":"thumbnails","href":"/dashboards/21874/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11183,"status":1,"statusCode":"active","orgId":312109,"orgSlug":"wangbinaaa","orgName":"wangbinaaa","slug":"telegraf-52-62","downloads":325,"revisionId":15787,"revision":3,"name":"telegraf 52.62","description":"InfluxDB dashboards for telegraf metrics","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-11-13T09:41:05.000Z","updatedAt":"2019-11-28T07:17:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11183"},{"rel":"revisions","href":"/dashboards/11183/revisions"},{"rel":"revision","href":"/dashboards/11183/revisions/3"},{"rel":"download","href":"/dashboards/11183/revisions/3/download"},{"rel":"org","href":"/orgs/wangbinaaa"},{"rel":"images","href":"/dashboards/11183/images"},{"rel":"thumbnails","href":"/dashboards/11183/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":7995,"status":1,"statusCode":"active","orgId":19047,"orgSlug":"brunowcs","orgName":"Bruno  Carvalho","slug":"telegraf-ceph-latency","downloads":568,"revisionId":10881,"revision":1,"name":"Telegraf Ceph - Latency","description":"telegraf ceph with influxdb\r\nSuggestions for improvements are welcome:\r\nwww.brunocarvalho.net","readme":"The metrics must be collected by the\r\nhttps://github.com/influxdata/telegraf/tree/master/plugins/inputs/ceph\r\n\r\nSuggestions for improvements are welcome:\r\nwww.brunocarvalho.net","collectorType":"Telegraf","collectorConfig":"Ceph Cluster overview using telegraf and InfluxDB datasource.\r\n\r\n","collectorPluginList":"ceph","datasource":"InfluxDB","privacy":"public","createdAt":"2018-09-18T18:09:55.000Z","updatedAt":"2018-09-18T20:04:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7995"},{"rel":"revisions","href":"/dashboards/7995/revisions"},{"rel":"revision","href":"/dashboards/7995/revisions/1"},{"rel":"download","href":"/dashboards/7995/revisions/1/download"},{"rel":"org","href":"/orgs/brunowcs"},{"rel":"images","href":"/dashboards/7995/images"},{"rel":"thumbnails","href":"/dashboards/7995/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":3373,"status":1,"statusCode":"active","orgId":84895,"orgSlug":"jabberwocky","orgName":"jabberwocky","slug":"elasticsearch","downloads":1403,"revisionId":4663,"revision":1,"name":"Telegraf ElasticSearch status","description":"Dashboard displays ElasticSearch server status gathered by Telegraf and posted to InfluxDB","readme":"NOTE: Currently Dashboard does not support several ElasticSearch hosts","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"elasticsearch","datasource":"InfluxDB","privacy":"public","createdAt":"2017-10-04T13:29:58.000Z","updatedAt":"2017-10-04T13:36:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3373"},{"rel":"revisions","href":"/dashboards/3373/revisions"},{"rel":"revision","href":"/dashboards/3373/revisions/1"},{"rel":"download","href":"/dashboards/3373/revisions/1/download"},{"rel":"org","href":"/orgs/jabberwocky"},{"rel":"images","href":"/dashboards/3373/images"},{"rel":"thumbnails","href":"/dashboards/3373/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10119,"status":1,"statusCode":"active","orgId":246352,"orgSlug":"kkaushal7","orgName":"kkaushal7","slug":"telegraf-elasticsearch-status","downloads":398,"revisionId":14149,"revision":1,"name":"Telegraf ElasticSearch status","description":"Dashboard displays ElasticSearch server status gathered by Telegraf and posted to InfluxDB","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-04-30T10:37:51.000Z","updatedAt":"2019-04-30T10:38:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10119"},{"rel":"revisions","href":"/dashboards/10119/revisions"},{"rel":"revision","href":"/dashboards/10119/revisions/1"},{"rel":"download","href":"/dashboards/10119/revisions/1/download"},{"rel":"org","href":"/orgs/kkaushal7"},{"rel":"images","href":"/dashboards/10119/images"},{"rel":"thumbnails","href":"/dashboards/10119/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14888,"status":1,"statusCode":"active","orgId":532360,"orgSlug":"magordon","orgName":"magordon","slug":"telegraf-flux","downloads":681,"revisionId":22184,"revision":1,"name":"Telegraf Flux","description":"This is a copy of a dashboard I found here, modified to work with flux syntax. I have no idea if everything is correct, and it could use work.","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-08-18T18:20:00.000Z","updatedAt":"2021-08-18T18:25:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14888"},{"rel":"revisions","href":"/dashboards/14888/revisions"},{"rel":"revision","href":"/dashboards/14888/revisions/1"},{"rel":"download","href":"/dashboards/14888/revisions/1/download"},{"rel":"org","href":"/orgs/magordon"},{"rel":"images","href":"/dashboards/14888/images"},{"rel":"thumbnails","href":"/dashboards/14888/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":1443,"status":1,"statusCode":"active","orgId":44454,"orgSlug":"vincentliu","orgName":"vincentliu","slug":"telegraf-host-metrics","downloads":10896,"revisionId":3731,"revision":4,"name":"Telegraf Host Metrics","description":"Telegraf Host Metrics","readme":"# Blog\r\nhttp://www.vincentblog.cn/\r\n# Email\r\n344166929#qq.com","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.net]]\r\n#   ## By default, telegraf gathers stats from any up interface (excluding loopback)\r\n#   ## Setting interfaces will tell it to gather these explicit interfaces,\r\n#   ## regardless of status.\r\n#   ##\r\ninterfaces = [\"eth0,eth1,lo\"]\r\n[[inputs.cpu]]\r\n  ## Whether to report per-cpu stats or not\r\n  percpu = true\r\n  ## Whether to report total system cpu stats or not\r\n  totalcpu = true\r\n  ## If true, collect raw CPU time metrics.\r\n  collect_cpu_time = false\r\n# Read metrics about disk usage by mount point\r\n[[inputs.disk]]\r\n  ## By default, telegraf gather stats for all mountpoints.\r\n  ## Setting mountpoints will restrict the stats to the specified mountpoints.\r\n  # mount_points = [\"/\"]\r\n\r\n  ## Ignore some mountpoints by filesystem type. For example (dev)tmpfs (usually\r\n  ## present on /run, /var/run, /dev/shm or /dev).\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\"]\r\n# Read metrics about disk IO by device\r\n[[inputs.diskio]]\r\n  ## By default, telegraf will gather stats for all devices including\r\n  ## disk partitions.\r\n  ## Setting devices will restrict the stats to the specified devices.\r\n  # devices = [\"sda\", \"sdb\"]\r\n  ## Uncomment the following line if you need disk serial numbers.\r\n  # skip_serial_number = false\r\n\r\n\r\n# Get kernel statistics from /proc/stat\r\n[[inputs.kernel]]\r\n  # no configuration\r\n\r\n\r\n# Read metrics about memory usage\r\n[[inputs.mem]]\r\n  # no configuration\r\n\r\n\r\n# Get the number of processes and group them by status\r\n[[inputs.processes]]\r\n  # no configuration\r\n\r\n\r\n# Read metrics about swap memory usage\r\n[[inputs.swap]]\r\n[[inputs.system]]\r\n[[inputs.netstat]]\r\n```\r\n\r\n","collectorPluginList":"system, nstat","datasource":"InfluxDB","privacy":"public","createdAt":"2017-02-07T02:30:56.000Z","updatedAt":"2018-02-13T15:52:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":3.67,"links":[{"rel":"self","href":"/dashboards/1443"},{"rel":"revisions","href":"/dashboards/1443/revisions"},{"rel":"revision","href":"/dashboards/1443/revisions/4"},{"rel":"download","href":"/dashboards/1443/revisions/4/download"},{"rel":"org","href":"/orgs/vincentliu"},{"rel":"images","href":"/dashboards/1443/images"},{"rel":"thumbnails","href":"/dashboards/1443/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14126,"status":1,"statusCode":"active","orgId":475668,"orgSlug":"springfield","orgName":"springfield","slug":"telegraf-host-simple","downloads":737,"revisionId":20724,"revision":1,"name":"Telegraf Host Simple InfluxDB2.0","description":"Telegraf Host Metrics using Flux Querys","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-03-23T16:50:10.000Z","updatedAt":"2021-03-23T16:53:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14126"},{"rel":"revisions","href":"/dashboards/14126/revisions"},{"rel":"revision","href":"/dashboards/14126/revisions/1"},{"rel":"download","href":"/dashboards/14126/revisions/1/download"},{"rel":"org","href":"/orgs/springfield"},{"rel":"images","href":"/dashboards/14126/images"},{"rel":"thumbnails","href":"/dashboards/14126/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11977,"status":1,"statusCode":"active","orgId":328050,"orgSlug":"obitech","orgName":"obitech","slug":"telegraf-internal-stats","downloads":896,"revisionId":16997,"revision":1,"name":"Telegraf Internal Stats","description":"Shows internal Telegraf metrics exposed to the Prometheus output plugin.","readme":"Requires:\n\n```conf\n[[inputs.internal]]\n  collect_memstats = true\n```\n\nUses:\n\n- Grafana Prometheus datasource\n- Telgraf Prometheus output plugin\n- Telegraf vSphere input plugin (optional)\n\nShows:\n\n- General resource consumption overview\n- vSphere input plugin metrics\n- Agent metrics\n- Gather metrics\n- Write metrics\n- GC metrics\n\nSource: https://github.com/obitech/grafana-dashboards","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-23T10:06:01.000Z","updatedAt":"2020-03-23T10:28:16.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11977"},{"rel":"revisions","href":"/dashboards/11977/revisions"},{"rel":"revision","href":"/dashboards/11977/revisions/1"},{"rel":"download","href":"/dashboards/11977/revisions/1/download"},{"rel":"org","href":"/orgs/obitech"},{"rel":"images","href":"/dashboards/11977/images"},{"rel":"thumbnails","href":"/dashboards/11977/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":61,"status":1,"statusCode":"active","orgId":12841,"orgSlug":"descrepes","orgName":"InsideBoard","slug":"telegraf-metrics","downloads":12500,"revisionId":704,"revision":3,"name":"Telegraf metrics","description":"InfluxDB dashboards for telegraf metrics","readme":"Dashboard for Telegraf plugins and system/network metrics.\r\n\r\nPlugins:\r\n - Apache\r\n - ElasticSearch\r\n - Memcached\r\n - MongoDB\r\n - Nginx\r\n - OpCache\r\n - PHP FPM\r\n - RabbitMQ\r\n - Redis\r\n - Passenger\r\n - MySQL\r\n - Varnish 3/4\r\n - Mcrouter\r\n - Docker\r\n - Nsq\r\n","collectorType":"Telegraf","collectorConfig":"Mcrouter collector:\r\n```\r\n[[inputs.exec]]\r\ncommand = \"cat /var/mcrouter/stats/libmcrouter.mcrouter.5000.stats\"\r\nname_suffix = \"mcrouter\"\r\ndata_format = \"json\"\r\n```\r\n\r\nOPCache collector:\r\n```\r\n[[inputs.httpjson]]\r\nname = \"opcache\"\r\nservers = [\"http://127.0.0.1:80/opcache_stat.php\r\nmethod = \"GET\"\r\n```\r\n\r\nThe varnish3 collector:\r\n```\r\n[[inputs.exec]]\r\ncommand = \"/usr/bin/varnishstat -j\"\r\nname_suffix = \"varnish3\"\r\ndata_format = \"json\"\r\n```","collectorPluginList":"apache, docker, elasticsearch, memcached, mongodb, nginx, phpfpm, rabbitmq, redis, phusion passenger, mysql, varnish, Other, system, nsq","datasource":"InfluxDB","privacy":"public","createdAt":"2016-06-24T15:21:13.000Z","updatedAt":"2016-09-29T09:14:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/61"},{"rel":"revisions","href":"/dashboards/61/revisions"},{"rel":"revision","href":"/dashboards/61/revisions/3"},{"rel":"download","href":"/dashboards/61/revisions/3/download"},{"rel":"org","href":"/orgs/descrepes"},{"rel":"images","href":"/dashboards/61/images"},{"rel":"thumbnails","href":"/dashboards/61/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11050,"status":1,"statusCode":"active","orgId":235807,"orgSlug":"morozovsk","orgName":"Vladimir Goncharov","slug":"telegraf-metrics","downloads":1287,"revisionId":15447,"revision":1,"name":"Telegraf metrics","description":"Prometheus/victoriametrics dashboards for telegraf metrics","readme":"Converted from dashboard [#61](https://grafana.com/grafana/dashboards/61) from influxdb for victoriametrics.\n\nDashboard for Telegraf plugins and system/network metrics.\n\nPlugins:\n* Apache\n* ElasticSearch\n* Memcached\n* MongoDB\n* Nginx\n* OpCache\n* PHP FPM\n* RabbitMQ\n* Redis\n* Passenger\n* MySQL\n* Varnish 3/4\n* Mcrouter\n* Docker\n* Nsq","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-10-28T22:18:34.000Z","updatedAt":"2019-10-28T22:32:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11050"},{"rel":"revisions","href":"/dashboards/11050/revisions"},{"rel":"revision","href":"/dashboards/11050/revisions/1"},{"rel":"download","href":"/dashboards/11050/revisions/1/download"},{"rel":"org","href":"/orgs/morozovsk"},{"rel":"images","href":"/dashboards/11050/images"},{"rel":"thumbnails","href":"/dashboards/11050/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15650,"status":1,"statusCode":"active","orgId":595895,"orgSlug":"markeli","orgName":"markeli","slug":"telegraf-influxdb-2-0-flux","downloads":4857,"revisionId":23627,"revision":1,"name":"Telegraf Metrics dashboard for InfluxDB 2.0 (Flux)","description":"Dashboard for displaying basic host metrics collected by telegraf and stored into the InfluxDB 2.0. Metrics are fetched by flux.","readme":"Dashboard show basic host metrics:\r\n- CPU usage\r\n- Disk usage\r\n- Network usage\r\n\r\nIt shows only basic metrics collected by telegraf agent. Dashboard supports Flux query syntax. ","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-01-31T01:25:16.000Z","updatedAt":"2022-01-31T01:50:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15650"},{"rel":"revisions","href":"/dashboards/15650/revisions"},{"rel":"revision","href":"/dashboards/15650/revisions/1"},{"rel":"download","href":"/dashboards/15650/revisions/1/download"},{"rel":"org","href":"/orgs/markeli"},{"rel":"images","href":"/dashboards/15650/images"},{"rel":"thumbnails","href":"/dashboards/15650/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19965,"status":1,"statusCode":"active","orgId":559987,"orgSlug":"robertochiosa","orgName":"robertochiosa","slug":"telegraf","downloads":372,"revisionId":30684,"revision":1,"name":"Telegraf metrics monitoring template","description":"A public dashboard for Telegraf metrics monitoring using Grafana","readme":"# Telegraf Dashboard for Grafana\r\n\r\nThis is the Grafana version of the [Telegraf metrics monitoring template](https://github.com/influxdata/community-templates/tree/master/telegraf) for InfluxDB.\r\n\r\n## Prerequisites\r\nThis dashboard assumes that you already set up:\r\n* An InfluxDB instance and its relative datasource in Grafana\r\n* A bucket named `Telegraf` with 7 days retention\r\n* A Telegraf `config` plugin for internal metrics collection and InfluxDB v2 output\r\n\r\nDetails about the setup instruction can be found [here](https://github.com/influxdata/community-templates/tree/master/telegraf)\r\n\r\n## Metrics collected\r\nThis dashboard allows to monitor the Telegraf agent, input plugins, set up alarms, identify errors in the metrics collection and so on.\r\nThe following is a non exaustive list of the metrics collected from Telegraf internal metrics plugin.\r\n\r\n* Number of metrics collected\r\n* Metrics collected vs written per second\r\n* Metrics gathered per input per minute\r\n* Write buffer size\r\n* Memory Allocations\r\n* Metrics written\r\n* Input plugin errors\r\n* Errors per input\r\n* Errors per output\r\n* Garbage collection\r\n\r\n\r\n## References\r\n* [Telegraf Dashboard](https://github.com/influxdata/community-templates/tree/master/telegraf)\r\n* [Telegraf Monitoring Template](https://www.influxdata.com/influxdb-templates/telegraf-monitor/)\r\n","collectorType":"Telegraf","collectorConfig":"","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-11-11T17:46:29.000Z","updatedAt":"2023-11-12T22:20:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19965"},{"rel":"revisions","href":"/dashboards/19965/revisions"},{"rel":"revision","href":"/dashboards/19965/revisions/1"},{"rel":"download","href":"/dashboards/19965/revisions/1/download"},{"rel":"org","href":"/orgs/robertochiosa"},{"rel":"images","href":"/dashboards/19965/images"},{"rel":"thumbnails","href":"/dashboards/19965/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12225,"status":1,"statusCode":"active","orgId":378345,"orgSlug":"kageiit","orgName":"kageiit","slug":"telegraf-nvidia-gpu-overview","downloads":858,"revisionId":17419,"revision":1,"name":"Telegraf Nvidia GPU Overview","description":"Telegraf Metrics for Nvidia Graphics cards","readme":"Based off [Nvidia-Graphs](https://grafana.com/grafana/dashboards/11900) with fixed configuration to allow proper customization of Host GPU and datasource","collectorType":"Telegraf","collectorConfig":"Use with telegraf and the the nvidia-smi plugin:\n\n```\n# Pulls statistics from nvidia GPUs attached to the host\n[[inputs.nvidia_smi]]\n  ## Optional: path to nvidia-smi binary, defaults to $PATH via exec.LookPath\n  bin_path = \"C:\\\\Program Files\\\\NVIDIA Corporation\\\\NVSMI\\\\nvidia-smi.exe\"\n  ## Optional: timeout for GPU polling\n  timeout = \"5s\"\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-05-03T19:58:01.000Z","updatedAt":"2020-05-03T20:07:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12225"},{"rel":"revisions","href":"/dashboards/12225/revisions"},{"rel":"revision","href":"/dashboards/12225/revisions/1"},{"rel":"download","href":"/dashboards/12225/revisions/1/download"},{"rel":"org","href":"/orgs/kageiit"},{"rel":"images","href":"/dashboards/12225/images"},{"rel":"thumbnails","href":"/dashboards/12225/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12702,"status":1,"statusCode":"active","orgId":400034,"orgSlug":"samer","orgName":"samer","slug":"telegraf-overview","downloads":334,"revisionId":18266,"revision":1,"name":"Telegraf overview -sam","description":"All info Server Linux\r\n\r\nInfluxDB , Telegraf, Linux, ","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"influxdb","datasource":"InfluxDB","privacy":"public","createdAt":"2020-07-24T09:15:38.000Z","updatedAt":"2020-07-24T09:17:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12702"},{"rel":"revisions","href":"/dashboards/12702/revisions"},{"rel":"revision","href":"/dashboards/12702/revisions/1"},{"rel":"download","href":"/dashboards/12702/revisions/1/download"},{"rel":"org","href":"/orgs/samer"},{"rel":"images","href":"/dashboards/12702/images"},{"rel":"thumbnails","href":"/dashboards/12702/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":4823,"status":1,"statusCode":"active","orgId":124622,"orgSlug":"broferek","orgName":"broferek","slug":"telegraf-sysstats","downloads":1196,"revisionId":6419,"revision":1,"name":"Telegraf sysstats","description":"System stats retrieved by Telegraf","readme":"Dashboard presenting system statistics retrieved by Telegraf (CPU, Memory, Swap, Disk and Network usage)","collectorType":"Telegraf","collectorConfig":"All  you need to collect to get all panels filled with informations\r\n\r\n##############################################################################\r\n#                            INPUT PLUGINS                                   #\r\n##############################################################################\r\n\r\n[[inputs.cpu]]\r\n  percpu = false\r\n\r\n[[inputs.disk]]\r\n  ignore_fs = [ \"tmpfs\", \"devtmpfs\" ]\r\n\r\n[[inputs.diskio]]\r\n\r\n[[inputs.kernel]]\r\n\r\n[[inputs.mem]]\r\n\r\n[[inputs.processes]]\r\n\r\n[[inputs.swap]]\r\n\r\n[[inputs.system]]\r\n\r\n[[inputs.net]]\r\n  fieldpass = [ \"bytes*\" ]\r\n\r\n[[inputs.netstat]]\r\n","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-02-23T16:07:14.000Z","updatedAt":"2018-02-23T17:46:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4823"},{"rel":"revisions","href":"/dashboards/4823/revisions"},{"rel":"revision","href":"/dashboards/4823/revisions/1"},{"rel":"download","href":"/dashboards/4823/revisions/1/download"},{"rel":"org","href":"/orgs/broferek"},{"rel":"images","href":"/dashboards/4823/images"},{"rel":"thumbnails","href":"/dashboards/4823/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16388,"status":1,"statusCode":"active","orgId":550907,"orgSlug":"tdengine","orgName":"TDengine","slug":"telegraf-system-dashboard","downloads":698,"revisionId":27941,"revision":2,"name":"Telegraf System Dashboard","description":"Telegraf host metrics dashboard with TDengine grafana plugin.","readme":"# Telegraf Dashboard with TDengine\r\n\r\nThis an example project to show the how Telegraf + TDengine + Grafana works together.\r\n\r\nThe telegraf dashboard comes from the top 1 downloaded [dashboard](https://grafana.com/grafana/dashboards/928) - which downloaded 21k times - with InfluxDB data source, completely ported to TDengine with its [data source plugin](https://github.com/taosdata/grafanaplugin).\r\n\r\n![Dashboard](https://grafana.com/api/dashboards/16388/images/12231/image)\r\n\r\n## Setup\r\n\r\nCheckout the [examples/telegraf](https://github.com/taosdata/grafanaplugin/tree/master/examples/telegraf) directory to see how to setup Telegraf + TDengine + Grafana in a docker-compose file.\r\n\r\n","collectorType":"Telegraf","collectorConfig":"```toml\r\n# Telegraf configuration\r\n\r\n# Telegraf is entirely plugin driven. All metrics are gathered from the\r\n# declared inputs, and sent to the declared outputs.\r\n\r\n# Plugins must be declared in here to be active.\r\n# To deactivate a plugin, comment out the name and any variables.\r\n\r\n# Use 'telegraf -config telegraf.conf -test' to see what metrics a config\r\n# file would generate.\r\n\r\n# Global tags can be specified here in key=\"value\" format.\r\n[global_tags]\r\n  # dc = \"us-east-1\" # will tag all metrics with dc=us-east-1\r\n  # rack = \"1a\"\r\n\r\n# Configuration for telegraf agent\r\n[agent]\r\n  ## Default data collection interval for all inputs\r\n  interval = \"5s\"\r\n  ## Rounds collection interval to 'interval'\r\n  ## ie, if interval=\"10s\" then always collect on :00, :10, :20, etc.\r\n  round_interval = true\r\n\r\n  ## Telegraf will cache metric_buffer_limit metrics for each output, and will\r\n  ## flush this buffer on a successful write.\r\n  metric_buffer_limit = 10000\r\n  ## Flush the buffer whenever full, regardless of flush_interval.\r\n  flush_buffer_when_full = true\r\n\r\n  ## Collection jitter is used to jitter the collection by a random amount.\r\n  ## Each plugin will sleep for a random time within jitter before collecting.\r\n  ## This can be used to avoid many plugins querying things like sysfs at the\r\n  ## same time, which can have a measurable effect on the system.\r\n  collection_jitter = \"0s\"\r\n\r\n  ## Default flushing interval for all outputs. You shouldn't set this below\r\n  ## interval. Maximum flush_interval will be flush_interval + flush_jitter\r\n  flush_interval = \"1s\"\r\n  ## Jitter the flush interval by a random amount. This is primarily to avoid\r\n  ## large write spikes for users running a large number of telegraf instances.\r\n  ## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s\r\n  flush_jitter = \"0s\"\r\n\r\n  ## Run telegraf in debug mode\r\n  debug = false\r\n  ## Run telegraf in quiet mode\r\n  quiet = false\r\n  ## Override default hostname, if empty use os.Hostname()\r\n  hostname = \"\"\r\n\r\n[[outputs.http]]\r\n  url = \"${TDENGINE_API}/influxdb/v1/write?db=${TDENGINE_METRICS_DATABASE}\"\r\n  method = \"POST\"\r\n  timeout = \"5s\"\r\n  username = \"${TDENGINE_USER}\"\r\n  password = \"${TDENGINE_PASS}\"\r\n  data_format = \"influx\"\r\n  influx_max_line_bytes = 250\r\n\r\n# Read metrics about cpu usage\r\n[[inputs.cpu]]\r\n  ## Whether to report per-cpu stats or not\r\n  percpu = true\r\n  ## Whether to report total system cpu stats or not\r\n  totalcpu = true\r\n  ## Comment this line if you want the raw CPU time metrics\r\n  fielddrop = [\"time_*\"]\r\n\r\n\r\n# Read metrics about disk usage by mount point\r\n[[inputs.disk]]\r\n  ## By default, telegraf gather stats for all mountpoints.\r\n  ## Setting mountpoints will restrict the stats to the specified mountpoints.\r\n  # mount_points = [\"/\"]\r\n\r\n  ## Ignore some mountpoints by filesystem type. For example (dev)tmpfs (usually\r\n  ## present on /run, /var/run, /dev/shm or /dev).\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\"]\r\n\r\n\r\n# Read metrics about disk IO by device\r\n[[inputs.diskio]]\r\n  ## By default, telegraf will gather stats for all devices including\r\n  ## disk partitions.\r\n  ## Setting devices will restrict the stats to the specified devices.\r\n  # devices = [\"sda\", \"sdb\"]\r\n  ## Uncomment the following line if you need disk serial numbers.\r\n  # skip_serial_number = false\r\n\r\n\r\n# Get kernel statistics from /proc/stat\r\n[[inputs.kernel]]\r\n  # no configuration\r\n\r\n\r\n# Read metrics about memory usage\r\n[[inputs.mem]]\r\n  # no configuration\r\n\r\n\r\n# Get the number of processes and group them by status\r\n[[inputs.processes]]\r\n  # no configuration\r\n\r\n\r\n# Read metrics about swap memory usage\r\n[[inputs.swap]]\r\n  # no configuration\r\n\r\n\r\n# Read metrics about system load & uptime\r\n[[inputs.system]]\r\n  # no configuration\r\n\r\n# Read metrics about network interface usage\r\n[[inputs.net]]\r\n  # collect data only about specific interfaces\r\n  # interfaces = [\"eth0\"]\r\n\r\n[[inputs.nstat]]\r\n\r\n[[inputs.netstat]]\r\n  # no configuration\r\n\r\n[[inputs.interrupts]]\r\n  # no configuration\r\n\r\n[[inputs.linux_sysctl_fs]]\r\n  # no configuration\r\n  #\r\n[[inputs.conntrack]]\r\n```","collectorPluginList":"Other","datasource":null,"privacy":"public","createdAt":"2022-06-06T11:38:05.000Z","updatedAt":"2023-03-01T06:56:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16388"},{"rel":"revisions","href":"/dashboards/16388/revisions"},{"rel":"revision","href":"/dashboards/16388/revisions/2"},{"rel":"download","href":"/dashboards/16388/revisions/2/download"},{"rel":"org","href":"/orgs/tdengine"},{"rel":"images","href":"/dashboards/16388/images"},{"rel":"thumbnails","href":"/dashboards/16388/thumbnails"}]},{"id":20268,"status":1,"statusCode":"active","orgId":1024803,"orgSlug":"ibug","orgName":"iBug","slug":"ibug-systems","downloads":409,"revisionId":31242,"revision":1,"name":"Telegraf system dashboard","description":"A better dashboard for Telegraf and InfluxDB v1","readme":"An updated version of [928 - Telegraf: system dashboard](https://grafana.com/grafana/dashboards/928/), with the same templating and repeating rows, but refreshed for Grafana v10.\r\n\r\nAll queries have been rewritten using Grafana's Query Editor, with similar queries grouped and all labeled, making it easy for those unfamiliar with InfluxQL to get started.\r\n\r\nAll panels in the \"Quick overview\" section have multiple thresholds configured, so that you can get a feel of your data by looking at their colors.","collectorType":"Telegraf","collectorConfig":"The default `[agent]` section requires no changes, but don't forget to add your own `[[outputs.influxdb]]` section.\r\n\r\n```toml\r\n[[inputs.cpu]]\r\n  percpu = false\r\n  totalcpu = true\r\n  collect_cpu_time = false\r\n  report_active = false\r\n\r\n# Read metrics about disk usage by mount point\r\n[[inputs.disk]]\r\n  ## By default stats will be gathered for all mount points.\r\n  ## Set mount_points will restrict the stats to only the specified mount points.\r\n  mount_points = [\"/\"]\r\n\r\n  ## Ignore mount points by filesystem type.\r\n  # ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\r\n\r\n[[inputs.diskio]]\r\n  devices = [\"sd?\", \"nvme?\", \"nvme?n?\"]\r\n\r\n# Get kernel statistics from /proc/stat\r\n[[inputs.kernel]]\r\n  collect = [\"psi\"]\r\n\r\n# Provides Linux sysctl fs metrics\r\n[[inputs.linux_sysctl_fs]]\r\n  # no configuration\r\n\r\n# Read metrics about memory usage\r\n[[inputs.mem]]\r\n  # no configuration\r\n\r\n[[inputs.net]]\r\n  interfaces = [\"en*\", \"eth*\", \"ib*\", \"wl*\"]\r\n\r\n[[inputs.netstat]]\r\n  # no configuration\r\n\r\n# Get the number of processes and group them by status\r\n[[inputs.processes]]\r\n  # no configuration\r\n\r\n# Read metrics about swap memory usage\r\n[[inputs.swap]]\r\n  # no configuration\r\n\r\n# Read metrics about system load & uptime\r\n[[inputs.system]]\r\n  # no configuration\r\n\r\n[[inputs.temp]]\r\n  # no configuration\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-01-08T16:54:25.000Z","updatedAt":"2024-01-08T17:13:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20268"},{"rel":"revisions","href":"/dashboards/20268/revisions"},{"rel":"revision","href":"/dashboards/20268/revisions/1"},{"rel":"download","href":"/dashboards/20268/revisions/1/download"},{"rel":"org","href":"/orgs/ibug"},{"rel":"images","href":"/dashboards/20268/images"},{"rel":"thumbnails","href":"/dashboards/20268/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":914,"status":1,"statusCode":"active","orgId":11527,"orgSlug":"lex","orgName":"Lex Rivera ","slug":"telegraf-system-overview","downloads":4267,"revisionId":1322,"revision":1,"name":"Telegraf system overview","description":"InfluxDB dashboards for telegraf metrics","readme":"# Not updated anymore - please use [my templated version](https://grafana.com/dashboards/928) instead","collectorType":"Telegraf","collectorConfig":"Sample /etc/telegraf/telegraf.conf, just change urls = [\"udp://your_host:8089\"] to your server and you're ready to go\r\n```\r\n# Global tags can be specified here in key=\"value\" format.\r\n[global_tags]\r\n  # dc = \"us-east-1\" # will tag all metrics with dc=us-east-1\r\n  # rack = \"1a\"\r\n  ## Environment variables can be used as tags, and throughout the config file\r\n  # user = \"$USER\"\r\n\r\n\r\n# Configuration for telegraf agent\r\n[agent]\r\n  interval = \"10s\"\r\n  round_interval = true\r\n  metric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"10s\"\r\n  flush_jitter = \"0s\"\r\n  precision = \"\"\r\n  debug = false\r\n  quiet = false\r\n  hostname = \"\"\r\n  omit_hostname = false\r\n\r\n\r\n### OUTPUT\r\n\r\n# Configuration for influxdb server to send metrics to\r\n[[outputs.influxdb]]\r\n  urls = [\"udp://your_host:8089\"]\r\n  database = \"telegraf_metrics\"\r\n\r\n  ## Retention policy to write to. Empty string writes to the default rp.\r\n  retention_policy = \"\"\r\n  ## Write consistency (clusters only), can be: \"any\", \"one\", \"quorum\", \"all\"\r\n  write_consistency = \"any\"\r\n\r\n  ## Write timeout (for the InfluxDB client), formatted as a string.\r\n  ## If not provided, will default to 5s. 0s means no timeout (not recommended).\r\n  timeout = \"5s\"\r\n  # username = \"telegraf\"\r\n  # password = \"2bmpiIeSWd63a7ew\"\r\n  ## Set the user agent for HTTP POSTs (can be useful for log differentiation)\r\n  # user_agent = \"telegraf\"\r\n  ## Set UDP payload size, defaults to InfluxDB UDP Client default (512 bytes)\r\n  # udp_payload = 512\r\n\r\n\r\n# Read metrics about cpu usage\r\n[[inputs.cpu]]\r\n  ## Whether to report per-cpu stats or not\r\n  percpu = true\r\n  ## Whether to report total system cpu stats or not\r\n  totalcpu = true\r\n  ## Comment this line if you want the raw CPU time metrics\r\n  fielddrop = [\"time_*\"]\r\n\r\n\r\n# Read metrics about disk usage by mount point\r\n[[inputs.disk]]\r\n  ## By default, telegraf gather stats for all mountpoints.\r\n  ## Setting mountpoints will restrict the stats to the specified mountpoints.\r\n  # mount_points = [\"/\"]\r\n\r\n  ## Ignore some mountpoints by filesystem type. For example (dev)tmpfs (usually\r\n  ## present on /run, /var/run, /dev/shm or /dev).\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\"]\r\n\r\n\r\n# Read metrics about disk IO by device\r\n[[inputs.diskio]]\r\n  ## By default, telegraf will gather stats for all devices including\r\n  ## disk partitions.\r\n  ## Setting devices will restrict the stats to the specified devices.\r\n  # devices = [\"sda\", \"sdb\"]\r\n  ## Uncomment the following line if you need disk serial numbers.\r\n  # skip_serial_number = false\r\n\r\n\r\n# Get kernel statistics from /proc/stat\r\n[[inputs.kernel]]\r\n  # no configuration\r\n\r\n\r\n# Read metrics about memory usage\r\n[[inputs.mem]]\r\n  # no configuration\r\n\r\n\r\n# Get the number of processes and group them by status\r\n[[inputs.processes]]\r\n  # no configuration\r\n\r\n\r\n# Read metrics about swap memory usage\r\n[[inputs.swap]]\r\n  # no configuration\r\n\r\n\r\n# Read metrics about system load & uptime\r\n[[inputs.system]]\r\n  # no configuration\r\n\r\n# Read metrics about network interface usage\r\n[[inputs.net]]\r\n  # collect data only about specific interfaces\r\n  # interfaces = [\"eth0\"]\r\n\r\n\r\n[[inputs.netstat]]\r\n  # no configuration\r\n```","collectorPluginList":"influxdb","datasource":"InfluxDB","privacy":"public","createdAt":"2016-11-21T13:21:40.000Z","updatedAt":"2017-06-05T11:42:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/914"},{"rel":"revisions","href":"/dashboards/914/revisions"},{"rel":"revision","href":"/dashboards/914/revisions/1"},{"rel":"download","href":"/dashboards/914/revisions/1/download"},{"rel":"org","href":"/orgs/lex"},{"rel":"images","href":"/dashboards/914/images"},{"rel":"thumbnails","href":"/dashboards/914/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9972,"status":1,"statusCode":"active","orgId":242386,"orgSlug":"getonnetas","orgName":"Kristian Roland","slug":"telegraf-system-overview","downloads":321,"revisionId":13923,"revision":1,"name":"Telegraf system overview","description":"InfluxDB dashboards for telegraf metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-03-26T10:17:41.000Z","updatedAt":"2019-03-26T10:17:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9972"},{"rel":"revisions","href":"/dashboards/9972/revisions"},{"rel":"revision","href":"/dashboards/9972/revisions/1"},{"rel":"download","href":"/dashboards/9972/revisions/1/download"},{"rel":"org","href":"/orgs/getonnetas"},{"rel":"images","href":"/dashboards/9972/images"},{"rel":"thumbnails","href":"/dashboards/9972/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21330,"status":1,"statusCode":"active","orgId":1150060,"orgSlug":"qwederpulzeed","orgName":"qwederpulzeed","slug":"telegraf-system-overview","downloads":260,"revisionId":33203,"revision":1,"name":"Telegraf system overview","description":"InfluxDB dashboards for telegraf metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-06-14T16:14:16.000Z","updatedAt":"2024-06-14T16:14:24.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21330"},{"rel":"revisions","href":"/dashboards/21330/revisions"},{"rel":"revision","href":"/dashboards/21330/revisions/1"},{"rel":"download","href":"/dashboards/21330/revisions/1/download"},{"rel":"org","href":"/orgs/qwederpulzeed"},{"rel":"images","href":"/dashboards/21330/images"},{"rel":"thumbnails","href":"/dashboards/21330/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10977,"status":1,"statusCode":"active","orgId":173136,"orgSlug":"gilbn","orgName":"gilbn","slug":"telegraf-ups-dashboard-tr","downloads":719,"revisionId":18811,"revision":4,"name":"Telegraf UPS Dashboard TR","description":"https://technicalramblings.com/blog/monitoring-your-ups-stats-and-cost-with-influxdb-and-grafana-on-unraid-telegraf-edition/","readme":"# Grafana dashboard for displaying UPS stats using the Apcupsd plugin in Telegraf. \r\n# [UPS Telegraf Guide](https://technicalramblings.com/blog/monitoring-your-ups-stats-and-cost-with-influxdb-and-grafana-on-unraid-telegraf-edition/) \r\n\r\n## Join the Unraid discord! \r\n\r\n[![Unraid](https://raw.githubusercontent.com/selfhosters/unRAID-CA-templates/master/.github/ISSUE_TEMPLATE/discord_unraid_unraid.png )](https://discord.gg/qWPbc8R)\r\n\r\n[![Discord](https://img.shields.io/discord/641230698166091777?color=%23ff8c2f&label=Discord&logo=discord&logoColor=%23ff8c2f&style=for-the-badge)](https://discord.gg/qWPbc8R)\r\n\r\n## For support on the dashboard click: [![Discord](https://img.shields.io/discord/591352397830553601.svg?style=for-the-badge&logo=discord)](https://discord.gg/HM5uUKU)\r\n\r\n\r\n### For the custom theme/skin check out: [theme.park](https://github.com/gilbN/theme.park)\r\n\r\n## Use the variables to set the UPS datasource ect.\r\n![](https://i.imgur.com/5pZav4a.png) \r\n\r\n### Screenshot:\r\n![](https://i.imgur.com/b1zsrzM.jpg) ","collectorType":"Telegraf","collectorConfig":"```\r\n# # Monitor APC UPSes connected to apcupsd\r\n[[inputs.apcupsd]]\r\n#   # A list of running apcupsd server to connect to.\r\n#   # If not provided will default to tcp://127.0.0.1:3551\r\n#   servers = [\"tcp://127.0.0.1:3551\"]\r\n#\r\n#   ## Timeout for dialing server.\r\n#   timeout = \"5s\"\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-10-08T19:40:25.000Z","updatedAt":"2020-09-14T21:23:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/10977"},{"rel":"revisions","href":"/dashboards/10977/revisions"},{"rel":"revision","href":"/dashboards/10977/revisions/4"},{"rel":"download","href":"/dashboards/10977/revisions/4/download"},{"rel":"org","href":"/orgs/gilbn"},{"rel":"images","href":"/dashboards/10977/images"},{"rel":"thumbnails","href":"/dashboards/10977/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":1635,"status":1,"statusCode":"active","orgId":48264,"orgSlug":"cm6051","orgName":"Matt Saunders","slug":"telegraf-windows-instances","downloads":2324,"revisionId":2193,"revision":1,"name":"Telegraf Windows Instances","description":"InfluxDB dashboards for telegraf metrics","readme":"\r\nA Grafana dashboard for showing Windows Telegraf metrics, from\r\nan InfluxDB backend.\r\n\r\nThis requires the majority of inputs listed in the `Generic\r\nQueries` and `Process` sections at the [win_perf_counters\r\ndocumentation](https://github.com/influxdata/telegraf/tree/master/plugins/inputs/win_perf_counters)\r\nto be enabled on Telegraf clients.\r\n\r\nBased on [Telegraf templated host overview](https://grafana.net/dashboards/928) by [lex](https://grafana.net/lex).\r\n\r\nSource also at [github.com](https://github.com/cm6051/grafana-telegraf-windows)","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"win_perf_counters ","datasource":"InfluxDB","privacy":"public","createdAt":"2017-03-07T15:53:50.000Z","updatedAt":"2017-03-07T16:12:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1635"},{"rel":"revisions","href":"/dashboards/1635/revisions"},{"rel":"revision","href":"/dashboards/1635/revisions/1"},{"rel":"download","href":"/dashboards/1635/revisions/1/download"},{"rel":"org","href":"/orgs/cm6051"},{"rel":"images","href":"/dashboards/1635/images"},{"rel":"thumbnails","href":"/dashboards/1635/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22226,"status":1,"statusCode":"active","orgId":749837,"orgSlug":"ushklianik","orgName":"ushklianik","slug":"telegraf-windows-metrics-dashboard-for-influxdb-2-0-flux","downloads":713,"revisionId":34927,"revision":1,"name":"Telegraf Windows Metrics dashboard for InfluxDB 2.X (Flux)","description":"Dashboard for displaying basic host metrics collected by telegraf and stored into the InfluxDB 2.X. Metrics are fetched by flux.","readme":"To set up the dashboard:\r\n1. Configure Telegraf to send Windows metrics to InfluxDB.\r\n2. Create a data source in Grafana.\r\n3. Import the dashboard.\r\n\r\nTelegraf config:\r\n```toml\r\n[agent]\r\n  hostname = \"YOUR_HOSTNAME\"\r\n  \r\n[[outputs.influxdb_v2]]\r\n  urls = [\"http://localhost:8086\"]\r\n  token = \"YOUR_TOKEN\"\r\n  organization = \"DEMO\"\r\n  bucket = \"telegraf\"\r\n    \r\n[[inputs.win_perf_counters]]\r\n  [[inputs.win_perf_counters.object]]\r\n    ObjectName = \"Processor\"\r\n    Instances = [\"*\"]\r\n    Counters = [\"% Idle Time\", \"% Interrupt Time\", \"% Privileged Time\", \"% User Time\", \"% Processor Time\",\"% DPC Time\",]\r\n    Measurement = \"win_cpu\"\r\n  [[inputs.win_perf_counters.object]]\r\n    ObjectName = \"LogicalDisk\"\r\n    Instances = [\"*\"]\r\n    Counters = [\"% Idle Time\", \"% Disk Time\", \"% Disk Read Time\", \"% Disk Write Time\", \"% User Time\", \"% Free Space\", \"Current Disk Queue Length\", \"Free Megabytes\", \"Disk Read Bytes/sec\", \"Disk Write Bytes/sec\"]\r\n    Measurement = \"win_disk\"\r\n  [[inputs.win_perf_counters.object]]\r\n    ObjectName = \"System\"\r\n    Counters = [\"Context Switches/sec\", \"System Calls/sec\", \"Processor Queue Length\", \"Threads\", \"System Up Time\", \"Processes\"]\r\n    Instances = [\"------\"]\r\n    Measurement = \"win_system\"\r\n  [[inputs.win_perf_counters.object]]\r\n    ObjectName = \"Memory\"\r\n    Counters = [\"Available Bytes\", \"Cache Faults/sec\", \"Demand Zero Faults/sec\", \"Page Faults/sec\", \"Pages/sec\", \"Transition Faults/sec\", \"Pool Nonpaged Bytes\", \"Pool Paged Bytes\"]\r\n    Instances = [\"------\"]\r\n    Measurement = \"win_mem\"\r\n  [[inputs.win_perf_counters.object]]\r\n    ObjectName = \"Network Interface\"\r\n    Counters = [\"Bytes Received/sec\", \"Bytes Sent/sec\", \"Packets Received/sec\", \"Packets Sent/sec\"]\r\n    Instances = [\"*\"]\r\n    Measurement = \"win_net\"\r\n  [[inputs.win_perf_counters.object]]\r\n    ObjectName = \"Process\"\r\n    Counters = [\"% Processor Time\", \"Handle Count\", \"Private Bytes\", \"Thread Count\", \"Virtual Bytes\", \"Working Set\"]\r\n    Instances = [\"*\"]\r\n    Measurement = \"win_proc\"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-11-07T12:04:54.000Z","updatedAt":"2024-11-07T12:06:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22226"},{"rel":"revisions","href":"/dashboards/22226/revisions"},{"rel":"revision","href":"/dashboards/22226/revisions/1"},{"rel":"download","href":"/dashboards/22226/revisions/1/download"},{"rel":"org","href":"/orgs/ushklianik"},{"rel":"images","href":"/dashboards/22226/images"},{"rel":"thumbnails","href":"/dashboards/22226/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18081,"status":1,"statusCode":"active","orgId":794302,"orgSlug":"damianhurschler","orgName":"damianhurschler","slug":"telegraf","downloads":672,"revisionId":27765,"revision":1,"name":"Telegraf with Flux","description":"Basic health and usage monitoring of any host running Telegraf. All queries are written in flux, requireing influxdb 2.x.\r\n\r\nAnsible playbook to configure the host and the correct telegraf configuration to provide these metrics to influxdb_v2 are provided on github:\r\n\r\nhttps://github.com/DamianHurschler/grafana_dashboard_telegraf","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-02-11T19:20:01.000Z","updatedAt":"2023-02-12T10:55:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18081"},{"rel":"revisions","href":"/dashboards/18081/revisions"},{"rel":"revision","href":"/dashboards/18081/revisions/1"},{"rel":"download","href":"/dashboards/18081/revisions/1/download"},{"rel":"org","href":"/orgs/damianhurschler"},{"rel":"images","href":"/dashboards/18081/images"},{"rel":"thumbnails","href":"/dashboards/18081/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11514,"status":1,"statusCode":"active","orgId":290672,"orgSlug":"escanoru","orgName":"Yivolve","slug":"telegraf-dashboard-multiple-nodes","downloads":551,"revisionId":18336,"revision":5,"name":"Telegraf_Dashboard_Multiple_Nodes","description":"Dashboard to compare resources utilization between hosts","readme":"# Description\nThis dashboard allows to select multiple Linux nodes in order to monitor/compare resource utilization between nodes.\n\n# telegraf.conf\n```sh\n[global_tags]\n[agent]\n  interval = \"10s\"\n  round_interval = true\n  metric_batch_size = 1000\n  metric_buffer_limit = 10000\n  collection_jitter = \"0s\"\n  flush_interval = \"10s\"\n  flush_jitter = \"0s\"\n  precision = \"\"\n  hostname = \"\"\n  omit_hostname = false\n[[outputs.influxdb]]\n  urls = [\"http://influxDB:8086\"]\n  database = \"telegraf\"\n[[inputs.cpu]]\n  percpu = true\n  totalcpu = true\n  fielddrop = [\"time_*\"]\n[[inputs.disk]]\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\n[[inputs.diskio]]\n[[inputs.kernel]]\n[[inputs.mem]]\n[[inputs.processes]]\n[[inputs.swap]]\n[[inputs.system]]\n[[inputs.net]]\n[[inputs.netstat]]\n[[inputs.interrupts]]\n[[inputs.linux_sysctl_fs]]\n\n```","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-01-06T16:16:57.000Z","updatedAt":"2020-08-01T00:23:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11514"},{"rel":"revisions","href":"/dashboards/11514/revisions"},{"rel":"revision","href":"/dashboards/11514/revisions/5"},{"rel":"download","href":"/dashboards/11514/revisions/5/download"},{"rel":"org","href":"/orgs/escanoru"},{"rel":"images","href":"/dashboards/11514/images"},{"rel":"thumbnails","href":"/dashboards/11514/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18121,"status":1,"statusCode":"active","orgId":774647,"orgSlug":"aa675546121","orgName":"aa675546121","slug":"telegraf-for-linux","downloads":317,"revisionId":27825,"revision":1,"name":"Telegraf_For_Linux_By_Epoint","description":"使用telegraf工具实现的Linux轻量级服务器性能监控，监控指标包含（运行时、配置信息、CPU、内存、磁盘、网络带宽）,支持服务器多选展示","readme":"下面是influxDB的配置/etc/influxdb/influxdb.conf\r\n```\r\n[meta]\r\ndir = \"/var/lib/influxdb/meta\"\r\n[data]\r\ndir = \"/var/lib/influxdb/data\"\r\nwal-dir = \"/var/lib/influxdb/wal\"\r\n[http]\r\nenabled = true\r\nbind-address = \":8086\"\r\n[[admin]]\r\nenabled = true\r\nbind-address = \":8083\"\r\nhttps-enabled =false\r\n```","collectorType":"Telegraf","collectorConfig":"将如下配置覆盖到/etc/telegraf/telegraf.conf文件，注意修改下面的$本机ip和$influxDB的ip参数（“$”去掉）\r\n```\r\n[global_tags]\r\n[agent]\r\ninterval = \"10s\"\r\nround_interval = true\r\nmetric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"10s\"\r\n  flush_jitter = \"0s\"\r\n  precision = \"0s\"\r\n  hostname = \"$本机ip\"\r\n  omit_hostname = false\r\n[[outputs.influxdb]]\r\n  urls = [\"http://$influxDB的ip:8086\"]\r\n  database = \"telegraf\"\r\n  retention_policy = \"\"\r\n  username = \"admin\"\r\n  password = \"11111\"\r\n[[inputs.cpu]]\r\n  percpu = false\r\n  totalcpu = true\r\n  collect_cpu_time = false\r\n report_active = false\r\n[[inputs.disk]]\r\n[[inputs.diskio]]\r\n[[inputs.mem]]\r\n[[inputs.swap]]\r\n[[inputs.system]]\r\n   fielddrop = [\"uptime_format\"]\r\n[[inputs.net]]\r\n[[inputs.netstat]]\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-02-17T01:04:49.000Z","updatedAt":"2023-02-17T01:18:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18121"},{"rel":"revisions","href":"/dashboards/18121/revisions"},{"rel":"revision","href":"/dashboards/18121/revisions/1"},{"rel":"download","href":"/dashboards/18121/revisions/1/download"},{"rel":"org","href":"/orgs/aa675546121"},{"rel":"images","href":"/dashboards/18121/images"},{"rel":"thumbnails","href":"/dashboards/18121/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11513,"status":1,"statusCode":"active","orgId":290672,"orgSlug":"escanoru","orgName":"Yivolve","slug":"telegraf-system-dashboard-core","downloads":363,"revisionId":17552,"revision":3,"name":"Telegraf_System_Dashboard_Core","description":"\n\n","readme":"Same as [\"Telegraf system dashboard\" ](https://grafana.com/grafana/dashboards/928) but this one includes a panel showing the number of CPUs.\n\n# telegraf.conf\n```sh\n[global_tags]\n[agent]\n  interval = \"10s\"\n  round_interval = true\n  metric_batch_size = 1000\n  metric_buffer_limit = 10000\n  collection_jitter = \"0s\"\n  flush_interval = \"10s\"\n  flush_jitter = \"0s\"\n  precision = \"\"\n  hostname = \"\"\n  omit_hostname = false\n[[outputs.influxdb]]\n  urls = [\"http://influxDB:8086\"]\n  database = \"telegraf\"\n[[inputs.cpu]]\n  percpu = true\n  totalcpu = true\n  fielddrop = [\"time_*\"]\n[[inputs.disk]]\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\n[[inputs.diskio]]\n[[inputs.kernel]]\n[[inputs.mem]]\n[[inputs.processes]]\n[[inputs.swap]]\n[[inputs.system]]\n[[inputs.net]]\n[[inputs.netstat]]\n[[inputs.interrupts]]\n[[inputs.linux_sysctl_fs]]\n\n```","collectorType":"Telegraf","collectorConfig":"","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-01-06T15:40:18.000Z","updatedAt":"2020-05-14T02:35:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11513"},{"rel":"revisions","href":"/dashboards/11513/revisions"},{"rel":"revision","href":"/dashboards/11513/revisions/3"},{"rel":"download","href":"/dashboards/11513/revisions/3/download"},{"rel":"org","href":"/orgs/escanoru"},{"rel":"images","href":"/dashboards/11513/images"},{"rel":"thumbnails","href":"/dashboards/11513/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15039,"status":1,"statusCode":"active","orgId":544891,"orgSlug":"aloike","orgName":"aloike","slug":"telegraf-internal","downloads":1029,"revisionId":22464,"revision":2,"name":"Telegraf: Internal","description":"Displays metrics about the telegraf agent itself. See https://github.com/influxdata/telegraf/blob/master/plugins/inputs/internal/README.md","readme":"This dashboard shows all internal metrics collected by Telegraf.\n\nTo configure Telegraf so it generates internal metrics, see instructions at: https://github.com/influxdata/telegraf/blob/master/plugins/inputs/internal/README.md","collectorType":"Telegraf","collectorConfig":"~~~~~{txt}\n# Collect statistics about itself\n[[inputs.internal]]\n  ## If true, collect telegraf memory stats.\n  collect_memstats = true\n~~~~~","collectorPluginList":"influxdb, Other","datasource":"InfluxDB","privacy":"public","createdAt":"2021-09-22T17:46:24.000Z","updatedAt":"2021-09-22T22:15:31.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15039"},{"rel":"revisions","href":"/dashboards/15039/revisions"},{"rel":"revision","href":"/dashboards/15039/revisions/2"},{"rel":"download","href":"/dashboards/15039/revisions/2/download"},{"rel":"org","href":"/orgs/aloike"},{"rel":"images","href":"/dashboards/15039/images"},{"rel":"thumbnails","href":"/dashboards/15039/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":928,"status":1,"statusCode":"active","orgId":11527,"orgSlug":"lex","orgName":"Lex Rivera ","slug":"telegraf-system-dashboard","downloads":52163,"revisionId":14924,"revision":4,"name":"Telegraf: system dashboard","description":"InfluxDB dashboards for telegraf metrics","readme":"## Description:\n\nTemplated dashboard for telegraf + influxdb.  \nSimilar to basic https://grafana.net/dashboards/914, but with templating, repeating panels/row and etc.  \nWas made as a \"learn influxdb/telegraf\" project, ended up with something i use daily.  \nVariables (among standard like server / datasource / interval):\n* CPUs (defaults to all)\n* Disks (per-disk IOPS)\n* Network interfaces (packets, bandwidth, errors/drops)\n* Mountpoints (space / inodes)\n\nMetrics:\n* Detailed network stack info, nstat plugin allows us to grab raw snmp data, ie:\n  * TCP handshakes data\n  * TCP aborts data\n  * ICMP errors, ICMP data\n  * SYN data\n  * TCP errors (retransmissions/etc)\n  * IPv4 errors\n  * IPv6 errors\n* Conntrack data  \n* File descriptors\n* UDP data\n\n...And basically everything \"generic\" you can extract from ordinary linux system\n\nBy default all variables points to \"all\", so dashboard can be huge if you have large amounts of disks/network interfaces.  \nSo far i tested it on machine with 46 disks, 8 interfaces and it loaded correctly (but pretty slow, poor browser barely handled all that data)  \n\nKnown issues / kludges:\n* Docker \"veth\" interfaces are blacklisted via template regexp. Docker creates shitload of them with names like \"veth%container_id%\" and they appear in selector even if they were alive months ago, so info about that interfaces is practically useless.\n* Disk IO only displays for disks like /dev/sda, /dev/hda, /dev/vda. Using per-partition IOPS produces way too much graphs, but if you really want it, you can fix it by editing regexp in \"disk\" template variable. Also, i'm not sure about drbd and other \"virtual\" block devices.\n\n* Split IPv4/IPv6 data (no ipv6 networks in my ownership, so not high on priority)\n\n## Changelog:\n* 7 aug 2019: Support nvme disks (/dev/nvmeXnY)","collectorType":"Telegraf","collectorConfig":"Sample /etc/telegraf/telegraf.conf, just change urls = [\"http://your_host:8086\"] to your server and you're ready to go\r\n```\r\n# Global tags can be specified here in key=\"value\" format.\r\n[global_tags]\r\n  # dc = \"us-east-1\" # will tag all metrics with dc=us-east-1\r\n  # rack = \"1a\"\r\n  ## Environment variables can be used as tags, and throughout the config file\r\n  # user = \"$USER\"\r\n\r\n\r\n# Configuration for telegraf agent\r\n[agent]\r\n  interval = \"10s\"\r\n  round_interval = true\r\n  metric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"10s\"\r\n  flush_jitter = \"0s\"\r\n  precision = \"\"\r\n  debug = false\r\n  quiet = false\r\n  hostname = \"\"\r\n  omit_hostname = false\r\n\r\n\r\n### OUTPUT\r\n\r\n# Configuration for influxdb server to send metrics to\r\n[[outputs.influxdb]]\r\n  urls = [\"http://your_host:8086\"]\r\n  database = \"telegraf_metrics\"\r\n\r\n  ## Retention policy to write to. Empty string writes to the default rp.\r\n  retention_policy = \"\"\r\n  ## Write consistency (clusters only), can be: \"any\", \"one\", \"quorum\", \"all\"\r\n  write_consistency = \"any\"\r\n\r\n  ## Write timeout (for the InfluxDB client), formatted as a string.\r\n  ## If not provided, will default to 5s. 0s means no timeout (not recommended).\r\n  timeout = \"5s\"\r\n  # username = \"telegraf\"\r\n  # password = \"2bmpiIeSWd63a7ew\"\r\n  ## Set the user agent for HTTP POSTs (can be useful for log differentiation)\r\n  # user_agent = \"telegraf\"\r\n  ## Set UDP payload size, defaults to InfluxDB UDP Client default (512 bytes)\r\n  # udp_payload = 512\r\n\r\n\r\n# Read metrics about cpu usage\r\n[[inputs.cpu]]\r\n  ## Whether to report per-cpu stats or not\r\n  percpu = true\r\n  ## Whether to report total system cpu stats or not\r\n  totalcpu = true\r\n  ## Comment this line if you want the raw CPU time metrics\r\n  fielddrop = [\"time_*\"]\r\n\r\n\r\n# Read metrics about disk usage by mount point\r\n[[inputs.disk]]\r\n  ## By default, telegraf gather stats for all mountpoints.\r\n  ## Setting mountpoints will restrict the stats to the specified mountpoints.\r\n  # mount_points = [\"/\"]\r\n\r\n  ## Ignore some mountpoints by filesystem type. For example (dev)tmpfs (usually\r\n  ## present on /run, /var/run, /dev/shm or /dev).\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\"]\r\n\r\n\r\n# Read metrics about disk IO by device\r\n[[inputs.diskio]]\r\n  ## By default, telegraf will gather stats for all devices including\r\n  ## disk partitions.\r\n  ## Setting devices will restrict the stats to the specified devices.\r\n  # devices = [\"sda\", \"sdb\"]\r\n  ## Uncomment the following line if you need disk serial numbers.\r\n  # skip_serial_number = false\r\n\r\n\r\n# Get kernel statistics from /proc/stat\r\n[[inputs.kernel]]\r\n  # no configuration\r\n\r\n\r\n# Read metrics about memory usage\r\n[[inputs.mem]]\r\n  # no configuration\r\n\r\n\r\n# Get the number of processes and group them by status\r\n[[inputs.processes]]\r\n  # no configuration\r\n\r\n\r\n# Read metrics about swap memory usage\r\n[[inputs.swap]]\r\n  # no configuration\r\n\r\n\r\n# Read metrics about system load & uptime\r\n[[inputs.system]]\r\n  # no configuration\r\n\r\n# Read metrics about network interface usage\r\n[[inputs.net]]\r\n  # collect data only about specific interfaces\r\n  # interfaces = [\"eth0\"]\r\n\r\n\r\n[[inputs.netstat]]\r\n  # no configuration\r\n\r\n[[inputs.interrupts]]\r\n  # no configuration\r\n\r\n[[inputs.linux_sysctl_fs]]\r\n  # no configuration\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2016-11-21T21:26:18.000Z","updatedAt":"2019-08-07T18:37:34.000Z","isEditor":false,"hasLogo":false,"reviewsCount":6,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/928"},{"rel":"revisions","href":"/dashboards/928/revisions"},{"rel":"revision","href":"/dashboards/928/revisions/4"},{"rel":"download","href":"/dashboards/928/revisions/4/download"},{"rel":"org","href":"/orgs/lex"},{"rel":"images","href":"/dashboards/928/images"},{"rel":"thumbnails","href":"/dashboards/928/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11051,"status":1,"statusCode":"active","orgId":235807,"orgSlug":"morozovsk","orgName":"Vladimir Goncharov","slug":"telegraf-system-dashboard","downloads":1615,"revisionId":15449,"revision":2,"name":"Telegraf: system dashboard","description":"Prometheus/victoriametrics dashboards for telegraf metrics","readme":"Converted from dashboard [#928](https://grafana.com/grafana/dashboards/928) from influxdb for victoriametrics.\n\nTemplated dashboard for telegraf + victoriametrics.\n\n* CPUs (defaults to all)\n* Disks (per-disk IOPS)\n* Network interfaces (packets, bandwidth, errors/drops)\n* Mountpoints (space / inodes)\n\nMetrics:\n\n* Detailed network stack info, nstat plugin allows us to grab raw snmp data, ie:\n  * TCP handshakes data\n  * TCP aborts data\n  * ICMP errors, ICMP data\n  * SYN data\n  * TCP errors (retransmissions/etc)\n  * IPv4 errors\n  * IPv6 errors\n* Conntrack data\n* File descriptors\n* UDP data\n*...And basically everything \"generic\" you can extract from ordinary linux system\n\nBy default all variables points to \"all\", so dashboard can be huge if you have large amounts of disks/network interfaces.\nSo far i tested it on machine with 46 disks, 8 interfaces and it loaded correctly (but pretty slow, poor browser barely handled all that data)","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-10-28T23:21:59.000Z","updatedAt":"2019-10-28T23:37:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11051"},{"rel":"revisions","href":"/dashboards/11051/revisions"},{"rel":"revision","href":"/dashboards/11051/revisions/2"},{"rel":"download","href":"/dashboards/11051/revisions/2/download"},{"rel":"org","href":"/orgs/morozovsk"},{"rel":"images","href":"/dashboards/11051/images"},{"rel":"thumbnails","href":"/dashboards/11051/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11549,"status":1,"statusCode":"active","orgId":329600,"orgSlug":"alamgir","orgName":"SSI","slug":"telegraf-system-dashboard","downloads":333,"revisionId":16275,"revision":1,"name":"Telegraf: system dashboard","description":"InfluxDB dashboards for telegraf metrics","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-01-13T06:56:42.000Z","updatedAt":"2020-01-13T06:57:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11549"},{"rel":"revisions","href":"/dashboards/11549/revisions"},{"rel":"revision","href":"/dashboards/11549/revisions/1"},{"rel":"download","href":"/dashboards/11549/revisions/1/download"},{"rel":"org","href":"/orgs/alamgir"},{"rel":"images","href":"/dashboards/11549/images"},{"rel":"thumbnails","href":"/dashboards/11549/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19744,"status":1,"statusCode":"active","orgId":963228,"orgSlug":"kevinwatkins","orgName":"Criustechnologygroup","slug":"telegraf-system-dashboard","downloads":279,"revisionId":30299,"revision":1,"name":"Telegraf: system dashboard","description":"InfluxDB dashboards for telegraf metrics","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-10-10T21:11:49.000Z","updatedAt":"2023-10-10T21:15:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19744"},{"rel":"revisions","href":"/dashboards/19744/revisions"},{"rel":"revision","href":"/dashboards/19744/revisions/1"},{"rel":"download","href":"/dashboards/19744/revisions/1/download"},{"rel":"org","href":"/orgs/kevinwatkins"},{"rel":"images","href":"/dashboards/19744/images"},{"rel":"thumbnails","href":"/dashboards/19744/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21780,"status":1,"statusCode":"active","orgId":598318,"orgSlug":"comercial7","orgName":"comercial7","slug":"telegraf-system-dashboard","downloads":245,"revisionId":34078,"revision":1,"name":"Telegraf: system dashboard","description":"InfluxDB dashboards for telegraf metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-08-28T14:17:20.000Z","updatedAt":"2024-08-28T14:18:04.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21780"},{"rel":"revisions","href":"/dashboards/21780/revisions"},{"rel":"revision","href":"/dashboards/21780/revisions/1"},{"rel":"download","href":"/dashboards/21780/revisions/1/download"},{"rel":"org","href":"/orgs/comercial7"},{"rel":"images","href":"/dashboards/21780/images"},{"rel":"thumbnails","href":"/dashboards/21780/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21946,"status":1,"statusCode":"active","orgId":1227848,"orgSlug":"zeliguma","orgName":"zeliguma","slug":"telegraf-system-dashboard","downloads":263,"revisionId":34354,"revision":1,"name":"Telegraf: system dashboard","description":"InfluxDB dashboards for telegraf metrics","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-09-22T04:56:14.000Z","updatedAt":"2024-09-22T04:57:50.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21946"},{"rel":"revisions","href":"/dashboards/21946/revisions"},{"rel":"revision","href":"/dashboards/21946/revisions/1"},{"rel":"download","href":"/dashboards/21946/revisions/1/download"},{"rel":"org","href":"/orgs/zeliguma"},{"rel":"images","href":"/dashboards/21946/images"},{"rel":"thumbnails","href":"/dashboards/21946/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22018,"status":1,"statusCode":"active","orgId":1236240,"orgSlug":"melina77","orgName":"melina77","slug":"telegraf-system-dashboard","downloads":253,"revisionId":34508,"revision":1,"name":"Telegraf: system dashboard","description":"InfluxDB dashboards for telegraf 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measure_temp\"]\r\n  name_override = \"gpu_temperature\"\r\n  data_format = \"grok\"\r\n  grok_patterns = [\"%{NUMBER:value:float}\"]\r\n\r\n[[inputs.exec]]\r\n  commands = [\"/opt/vc/bin/vcgencmd measure_clock arm\"]\r\n  name_override = \"cpu_clock\"\r\n  data_format = \"grok\"\r\n  grok_patterns = [\"=%{NUMBER:value:float}\"]\r\n\r\n[[inputs.exec]]\r\n  commands = [ \"/opt/vc/bin/vcgencmd measure_volts core\"]\r\n  name_override = \"volts\"\r\n  data_format = \"grok\"\r\n  grok_patterns = [\"%{NUMBER:value:float}\"]\r\n[[inputs.exec]]\r\n  commands = [ \"/opt/vc/bin/vcgencmd measure_volts sdram_c\"]\r\n  name_override = \"volts\"\r\n  data_format = \"grok\"\r\n  grok_patterns = [\"%{NUMBER:sdramc:float}\"]\r\n[[inputs.exec]]\r\n  commands = [ \"/opt/vc/bin/vcgencmd measure_volts sdram_i\"]\r\n  name_override = \"volts\"\r\n  data_format = \"grok\"\r\n  grok_patterns = [\"%{NUMBER:sdrami:float}\"]\r\n[[inputs.exec]]\r\n  commands = [ \"/opt/vc/bin/vcgencmd measure_volts 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\"json\"\r\n```\r\n","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-04-05T20:56:33.000Z","updatedAt":"2020-04-05T21:01:21.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12032"},{"rel":"revisions","href":"/dashboards/12032/revisions"},{"rel":"revision","href":"/dashboards/12032/revisions/1"},{"rel":"download","href":"/dashboards/12032/revisions/1/download"},{"rel":"org","href":"/orgs/raulgn"},{"rel":"images","href":"/dashboards/12032/images"},{"rel":"thumbnails","href":"/dashboards/12032/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11853,"status":1,"statusCode":"active","orgId":357244,"orgSlug":"immortalaxay","orgName":"immortalaxay","slug":"telegraf-systemd-service-unit-dashboard","downloads":572,"revisionId":16822,"revision":1,"name":"Telegraf: systemd service dashboard","description":"Dashboards for systemd service unit","readme":"Templated dashboard for telegraf + 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configure your prometheus job likes below:\n```\n  - job_name: mtproto-proxy\n    metrics_path: /\n    static_configs:\n      - targets:\n        - a-mtp.example.com:3129\n        labels:\n          alias: a\n      - targets:\n        - b-mtp.example.com:3129\n        labels:\n          alias: b\n      - targets:\n        - c-mtp.example.com:3129\n        labels:\n          alias: c\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-03-14T16:53:03.000Z","updatedAt":"2020-03-16T15:09:16.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11904"},{"rel":"revisions","href":"/dashboards/11904/revisions"},{"rel":"revision","href":"/dashboards/11904/revisions/2"},{"rel":"download","href":"/dashboards/11904/revisions/2/download"},{"rel":"org","href":"/orgs/haraguroicha"},{"rel":"images","href":"/dashboards/11904/images"},{"rel":"thumbnails","href":"/dashboards/11904/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17464,"status":1,"statusCode":"active","orgId":592198,"orgSlug":"gbessa","orgName":"gbessa","slug":"telemetria","downloads":355,"revisionId":26826,"revision":1,"name":"Telemetria","description":"Telemetria from 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3.0\r\n\r\nPlease consult [ThingWorx Health and Performance Monitoring - Overview Guide](https://drive.google.com/file/d/1WCXHdI_IMAYkJOdxSJTRZlRHxINvDE0r/view?usp=grafana-dashboard)  for more comprehensive detail and explanation.","readme":"The following is the Prometheus configuration which you can use to scrape metrics from ThingWorx.\r\n\r\nThis configuration leverages the default HTTP transport from the private network.  You need to change the configuration to use HTTPS if these scrapes will be going across untrusted networks, as otherwise the metrics user credentials could be intercepted.\r\n\r\n```YML\r\nscrape_configs:\r\n  - job_name: 'Thingworx'\r\n    metrics_path: /Thingworx/Metrics\r\n# scheme: https\r\n    basic_auth:\r\n      username: MetricsUser\r\n      password: not-your-password-dude\r\n    static_configs:\r\n    - targets: ['wer-twx-foundation:8080','server1.dmag.field.devops.ptc.io:8080']\r\n      labels: \r\n        group: Thingworx\r\n    metric_relabel_configs:\r\n    - source_labels: [ __name__ ]\r\n      regex: '(thingworx_General___PTC_Reported_AzureIoT|thingworx_LicensingSubsystem_.*_CHECK_).*'\r\n      action: drop\r\n```\r\n\r\nThe RegEx for relabelling is a little trick to drop unneeded metrics.  Considering the nearly 300 metrics collected on each scrape, you should be selective on which ones you need to keep if you are storing or forwarding metrics for long-term retention as the volumes will build up and slow your queries.\r\n\r\nYou'll note the YAML list which allows adding multiple servers to scrape.  You can break these out across multiple lines if you wish to apply specific application or other labels as a part of the scrape.  Example:\r\n\r\n```YAML\r\n    - targets:\r\n      - simulator.japaneast.cloudapp.azure.com:9100\r\n      labels:\r\n        group: Simulators\r\n        region: Japan\r\n    - targets:\r\n      - simulator.centralus.cloudapp.azure.com:9100\r\n      labels:\r\n        group: Simulators\r\n        region: USA\r\n    - targets:\r\n      - simulator.germanywestcentral.cloudapp.azure.com:9100\r\n      labels:\r\n        group: Simulators\r\n        region: Germany\r\n    - targets:\r\n      - simulator.koreacentral.cloudapp.azure.com:9100\r\n      labels:\r\n        group: Simulators\r\n        region: Korea\r\n```\r\n\r\nThe following JMX Exporter configuration adds JVM and Tomcat monitoring to ThingWorx, as well as the DB connection pools and metrics not available as standard.\r\n\r\n```YML\r\n# Configuration by Greg Eva (geva@ptc.com) - please contact for questions or suggested changes/enhancements\r\nlowercaseOutputLabelNames: false\r\nlowercaseOutputName: true\r\n# Eventually could put back whitelist, however are very specifically pulling only relevant attributes anyway\r\n#whitelistObjectNames: [\"java.lang:type=OperatingSystem\", \"java.lang:type=Memory\", \"java.lang:type=MemoryPool\", \"java.lang:type=Threading\", \"java.lang:type=GarbageCollector\", \"Catalina:*\", \"com.mchange.v2.c3p0:*\" , \"org.apache.commons.pool2:*\"]\r\n#blacklistObjectNames: []\r\n\r\nrules:\r\n## JAVA VIRTUAL MACHINE ##\r\n- pattern: 'java.lang<type=OperatingSystem><>(ProcessCpuLoad|SystemCpuLoad|SystemLoadAverage|AvailableProcessors):'\r\n  name: jvm_processor_$1\r\n  help: Java Virtual Machine processor load for $1\r\n  type: GAUGE\r\n\r\n- pattern: 'java.lang<type=OperatingSystem><>(\\w+)FileDescriptorCount:'\r\n  name: jvm_filedescriptor_$1_count\r\n  help: Java Virtual Machine open and maximum file descriptors\r\n  type: GAUGE\r\n\r\n- pattern: 'java.lang<type=OperatingSystem><>(TotalSwapSpace|FreeSwapSpace|TotalPhysicalMemorySize|FreePhysicalMemorySize):'\r\n  name: jvm_memory_$1_bytes\r\n  help: Java Virtual Machine memory for $1\r\n  type: GAUGE\r\n\r\n- pattern: 'java.lang<type=Threading><>(CurrentThreadCpuTime|CurrentThreadUserTime):'\r\n  name: jvm_threads_$1_total\r\n  help: Java Virtual Machine threads for $1\r\n  type: COUNTER\r\n\r\n- pattern: 'java.lang<type=Memory><(\\w+)MemoryUsage>(\\w+): (\\d+)'\r\n  name: jvm_memory_bytes_$2\r\n  labels:\r\n    area: \"$1\"  # Heap/NonHeap\r\n    value: $3\r\n  type: GAUGE\r\n\r\n# Skipping GC related metrics, as they come in with the Java agent exporter implementation (not HTTP server)\r\n# Ideally I would like these two metrics, but I cannot get the JMX query to work\r\n# LastGcInfo before and after memory details not needed as present on jvm_memory_pool_allocated_bytes_total\r\n#- pattern: 'java.lang<name=([-a-zA-Z0-9+/$%~_-|!.]*),type=GarbageCollector><LastGcInfo>(GcThreadCount|duration)'\r\n#  name: jvm_gc_$2\r\n#  labels:\r\n#    pool: $1\r\n#  help: Java Virtual Machine garbage collection for $1\r\n#  type: GAUGE\r\n\r\n## TOMCAT ##        \r\n- pattern: 'Catalina<type=GlobalRequestProcessor, name=\\\"(\\w+-.+?)-(\\d+)\\\"><>(\\w+):'\r\n  name: tomcat_$3_total\r\n  labels:\r\n    port: \"$2\"\r\n    protocol: \"$1\"\r\n  help: Tomcat global $3\r\n  type: COUNTER\r\n\r\n- pattern: 'Catalina<type=GlobalRequestProcessor, Upgrade=([-a-zA-Z0-9+/$%~_-|!.]*), name=\\\"(\\w+-.+?)-(\\d+)\\\"><>(\\w+):'\r\n  name: tomcat_upgrade_$4_total\r\n  labels:\r\n    port: \"$2\"\r\n    protocol: \"$1\"\r\n    upgrade: \"$3\"\r\n  help: Tomcat global $4\r\n  type: COUNTER\r\n\r\n- pattern: 'Catalina<j2eeType=Servlet, WebModule=//([-a-zA-Z0-9+&@#/%?=~_|!:.,;]*[-a-zA-Z0-9+&@#/%=~_|]), name=([-a-zA-Z0-9+/$%~_-|!.]*), J2EEApplication=none, J2EEServer=none><>(requestCount|maxTime|processingTime|errorCount):'\r\n  name: tomcat_servlet_$3_total\r\n  labels:\r\n    module: \"$1\"\r\n    servlet: \"$2\"\r\n  help: Tomcat servlet $3 total\r\n  type: COUNTER\r\n\r\n- pattern: 'Catalina<type=ThreadPool, name=\"(\\w+-.+?)-(\\d+)\"><>(currentThreadCount|currentThreadsBusy|keepAliveCount|maxKeepAliveRequests|pollerThreadCount|connectionCount|maxConnections|connectionTimeout|maxThreads|minSpareThreads|acceptCount|acceptorThreadCount):'\r\n  name: tomcat_threadpool_$3\r\n  labels:\r\n    port: \"$2\"\r\n    protocol: \"$1\"\r\n  help: Tomcat threadpool $3\r\n  type: GAUGE\r\n\r\n- pattern: 'Catalina<type=Manager, host=([-a-zA-Z0-9+&@#/%?=~_|!:.,;]*[-a-zA-Z0-9+&@#/%=~_|]), context=([-a-zA-Z0-9+/$%~_-|!.]*)><>(processingTime|sessionCounter|rejectedSessions|expiredSessions):'\r\n  # (Catalina<j2eeType=Servlet, WebModule=//localhost/examples, name=stock, J2EEApplication=none, J2EEServer=none><>asyncSupported)\r\n  name: tomcat_session_$3_total\r\n  labels:\r\n    context: \"$2\"\r\n    host: \"$1\"\r\n  help: Tomcat session $3 total\r\n  type: COUNTER\r\n\r\n- pattern: 'Catalina<type=WebResourceRoot, host=([-a-zA-Z0-9+&@#/%?=~_|!:.,;]*[-a-zA-Z0-9+&@#/%=~_|]), context=([-a-zA-Z0-9+/$%~_-|!.]*), name=Cache><>(\\w+):'\r\n  name: tomcat_cache_$3\r\n  labels:\r\n    context: \"$2\"\r\n    host: \"$1\"\r\n  help: Tomcat Resource cache confirguration and performance metrics (units are kb and ms)\r\n  type: GAUGE\r\n\r\n## C3P0 (ThingWorx Database Connection Library) ##\r\n- pattern: 'com.mchange.v2.c3p0<type=PooledDataSource, identityToken=([-a-zA-Z0-9+/$%~_-|!.]*), name=([-a-zA-Z0-9+/$%~_-|!.]*)><>(numFailedIdleTestsDefaultUser|numFailedIdleTestsAllUsers):'\r\n  name: thingworx_PersistenceProvider_$3_total\r\n  labels:\r\n    pool: $2\r\n  help: ThingWorx Persistence Provider DB Connection Pool performance metrics (C3P0)\r\n  type: COUNTER\r\n\r\n- pattern: 'com.mchange.v2.c3p0<type=PooledDataSource, identityToken=([-a-zA-Z0-9+/$%~_-|!.]*), name=([-a-zA-Z0-9+/$%~_-|!.]*)><>(maxPoolSize|numBusyConnections|numBusyConnectionsAllUsers|numBusyConnectionsDefaultUser|numConnections|numConnectionsAllUsers|numConnectionsDefaultUser|numIdleConnections|numIdleConnectionsAllUsers|numIdleConnectionsDefaultUser|threadPoolNumActiveThreads|threadPoolNumIdleThreads|threadPoolNumTasksPending|threadPoolSize|unreturnedConnectionTimeout|statementCacheNumCheckedOutDefaultUser|statementCacheNumCheckedOutStatementsAllUsers|statementCacheNumConnectionsWithCachedStatementsAllUsers|statementCacheNumConnectionsWithCachedStatementsDefaultUser|numDeferredCloseThreads|statementCacheNumStatementsAllUsers|statementCacheNumStatementsDefaultUser):'\r\n  name: thingworx_PersistenceProvider_$3\r\n  labels:\r\n    pool: $2\r\n  help: ThingWorx Persistence Provider DB Connection Pool performance metrics (C3P0)\r\n  type: GAUGE\r\n\r\n## DBCP2/POOL2 (Thingworx Database Thing Template) ##\r\n- pattern: 'org.apache.commons.pool2<type=GenericObjectPool, name=([-a-zA-Z0-9+/$%~_-|!.]*)><>(BorrowedCount|CreatedCount|DestroyedCount|ReturnedCount):'\r\n  name: thingworx_DatabaseThing_$2_total\r\n  labels:\r\n    pool: $1\r\n  type: COUNTER\r\n  help: ThingWorx Database Thing DB Connection Pool performance metrics (Apache Pool2/DBCP2)\r\n\r\n- pattern: 'org.apache.commons.pool2<type=GenericObjectPool, name=([-a-zA-Z0-9+/$%~_-|!.]*)><>(MaxIdle|MaxTotal|MaxWaitMillis|MeanActiveTimeMillis|MeanBorrowWaitTimeMillis|MeanIdleTimeMillis|MinEvictableIdleTimeMillis|MinIdle|NumActive|NumIdle|NumWaiters)'\r\n  name: thingworx_DatabaseThing_$2\r\n  labels:\r\n    pool: $1\r\n  type: GAUGE\r\n  help: ThingWorx Database Thing DB Connection Pool performance metrics (Apache Pool2/DBCP2)\r\n\r\n# For everything missing... compatibility across MSAI deployments and my own dashboards.\r\n#- pattern: \"java.*\"\r\n- pattern: \"Catalina*\"\r\n```\r\n\r\nYou will then need to either change your Tomcat service to include the JMX Exporter as a Java agent, or add it to the JAVA_OPTS or CATALINA_OPTS so that the exporter with associated configuration file will be loaded with Tomcat.\r\n\r\n```BASH\r\n-javaagent:/opt/jmx_exporter/jmx_prometheus_javaagent-0.20.0.jar=9111:/opt/jmx_exporter/jmx-exporter-config-twx.yaml\r\n```\r\n\r\nAnd then add the relevant Prometheus scrape configuration for the above JMX Exporter configuration.  Consult the Prometheus documentation should you need to enhance it.\r\n\r\n```YAML\r\n  - job_name: 'jmx'\r\n\r\n    static_configs:\r\n    - targets: ['wer-twx-foundation:9111', 'wer-twx-iothubconnector:9111']\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-09-11T11:57:49.000Z","updatedAt":"2025-11-10T15:28:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19533"},{"rel":"revisions","href":"/dashboards/19533/revisions"},{"rel":"revision","href":"/dashboards/19533/revisions/3"},{"rel":"download","href":"/dashboards/19533/revisions/3/download"},{"rel":"org","href":"/orgs/geva1"},{"rel":"images","href":"/dashboards/19533/images"},{"rel":"thumbnails","href":"/dashboards/19533/thumbnails"}]},{"id":23009,"status":1,"statusCode":"active","orgId":1361466,"orgSlug":"grafanathousandeyes","orgName":"grafanathousandeyes","slug":"thousandeyes-dashboard","downloads":401,"revisionId":40188,"revision":3,"name":"ThousandEyes Dashboard","description":"The ThousandEyes built-in dashboard for Grafana provides a concise view of network performance","readme":"## Description\r\n\r\nThousandEyes Grafana Dashboard provides deep insights into the performance and health of your network infrastructure and applications. By integrating ThousandEyes with Grafana via OpenTelemetry, users can monitor key metrics from ThousandEyes tests and present them in an easy-to-understand visual format. The dashboard enables you to analyze network performance, application performance, and the overall health of your digital experience.\r\n\r\n### Prerequisites:\r\n* A running instance of Grafana (Cloud or On-prem).\r\n    * Note, that for On-prem deployments, you would need to have a Prometheus installed separately. More information and guidance [can be found here](https://www.thousandeyes.com/blog/stream-thousandeyes-data-prometheus).\r\n* ThousandEyes account with configured tests\r\n* OpenTelemetry integration between ThousandEyes and Grafana (Prometheus/Mimir)\r\n\r\n### Supported metrics\r\n[This document](https://docs.thousandeyes.com/product-documentation/integration-guides/custom-built-integrations/opentelemetry#support) contains up-to-date list of supported ThousandEyes test types and metrics.\r\n\r\n## Configuration steps\r\n\r\n### Grafana\r\n\r\n* Navigate to [Connections] > [Add new connection] and search for “OpenTelemetry Collector”\r\n\r\n    ![Add a new connection in Grafana](https://i.ibb.co/7JKkCmcZ/grafana-new-connection.png)\r\n\r\n* Enter a token name in the provided field, then click [Create token]\r\n![Enter token name](https://i.ibb.co/Mx2ymWyc/grafana-token.png)\r\n * Once the token is successfully created, you will get an endpoint URL. This URL will be required for the configuration on the ThousandEyes side. Note, that you will need to add /v1/metrics to the end of that URL. For example: `https://otlp-gateway-prod-eu-west-2.grafana.net/otlp/v1/metrics`\r\n![Get endpoint URL](https://i.ibb.co/QvYvNKD6/grafana-endpoint-url.png)\r\n* In addition to the URL, you will also get authentication details (username and password). This authentication details will be required for the configuration on the ThousandEyes side.\r\n![Get authentication details](https://i.ibb.co/Q3r830KH/grafana-auth-details.png)\r\n\r\n### ThousandEyes\r\n\r\n* [This document](https://docs.thousandeyes.com/product-documentation/integration-guides/custom-built-integrations/opentelemetry/configure-opentelemetry-streams/ui) contains the necessary steps for configuring OpenTelemetry integration on ThousandEyes\r\n  * On the ThousandEyes platform, navigate to [Integrations] > [New Integration] > [ThousandEyes for OpenTelemetry]\r\n  * In the configuration section, provide Grafana details (URL and authentication) and select which ThousandEyes tests you want to enable OpenTelemetry for. Here is the example screenshot of configuration:\r\n\r\n    ![Enter grafana details into ThousandEyes](https://i.ibb.co/prfRZCjg/te-opentelemetry.png)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-03-03T12:25:12.000Z","updatedAt":"2026-03-12T17:12:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23009"},{"rel":"revisions","href":"/dashboards/23009/revisions"},{"rel":"revision","href":"/dashboards/23009/revisions/3"},{"rel":"download","href":"/dashboards/23009/revisions/3/download"},{"rel":"org","href":"/orgs/grafanathousandeyes"},{"rel":"images","href":"/dashboards/23009/images"},{"rel":"thumbnails","href":"/dashboards/23009/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3981,"status":1,"statusCode":"active","orgId":23364,"orgSlug":"shirokih","orgName":"shirokih","slug":"threadpool-mon","downloads":1403,"revisionId":5409,"revision":1,"name":"Threadpool moninitoring","description":"Shows info about used threads from configured thread pool. ","readme":"Used for getting info about thread pool utilization. ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-12-11T19:25:02.000Z","updatedAt":"2017-12-11T19:27:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3981"},{"rel":"revisions","href":"/dashboards/3981/revisions"},{"rel":"revision","href":"/dashboards/3981/revisions/1"},{"rel":"download","href":"/dashboards/3981/revisions/1/download"},{"rel":"org","href":"/orgs/shirokih"},{"rel":"images","href":"/dashboards/3981/images"},{"rel":"thumbnails","href":"/dashboards/3981/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":4851,"status":1,"statusCode":"active","orgId":37330,"orgSlug":"akrzos","orgName":"akrzos","slug":"three-node-performance-food-groups","downloads":396,"revisionId":6447,"revision":1,"name":"Three Node Performance Food Groups","description":"Displays CPU, Memory, Disk, and Network metrics from three nodes in nice format.","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"CPU plugin, Memory plugin, Disk plugin, Interface plugin","datasource":"Graphite","privacy":"public","createdAt":"2018-02-23T18:37:08.000Z","updatedAt":"2018-02-23T18:39:21.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4851"},{"rel":"revisions","href":"/dashboards/4851/revisions"},{"rel":"revision","href":"/dashboards/4851/revisions/1"},{"rel":"download","href":"/dashboards/4851/revisions/1/download"},{"rel":"org","href":"/orgs/akrzos"},{"rel":"images","href":"/dashboards/4851/images"},{"rel":"thumbnails","href":"/dashboards/4851/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":4854,"status":1,"statusCode":"active","orgId":37330,"orgSlug":"akrzos","orgName":"akrzos","slug":"three-node-performance-food-groups-enhanced","downloads":387,"revisionId":6450,"revision":1,"name":"Three Node Performance Food Groups Enhanced","description":"Same as Three Node Performance Food groups but includes a few more metrics (load, uptime, swap, iops, io throughput, df, network pps).","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"CPU plugin, Load plugin, Memory plugin, DF plugin, Swap plugin, Uptime plugin, Disk plugin, Interface plugin","datasource":"Graphite","privacy":"public","createdAt":"2018-02-23T18:39:51.000Z","updatedAt":"2018-02-23T18:42:17.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4854"},{"rel":"revisions","href":"/dashboards/4854/revisions"},{"rel":"revision","href":"/dashboards/4854/revisions/1"},{"rel":"download","href":"/dashboards/4854/revisions/1/download"},{"rel":"org","href":"/orgs/akrzos"},{"rel":"images","href":"/dashboards/4854/images"},{"rel":"thumbnails","href":"/dashboards/4854/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":17468,"status":1,"statusCode":"active","orgId":747691,"orgSlug":"antonrp2p","orgName":"antonrp2p","slug":"threshold-tbtc-nodes","downloads":269,"revisionId":26903,"revision":2,"name":"Threshold tBTC nodes","description":"Dashboard for monitoring Threshold Network tBTC nodes","readme":"If you define your Prometheus config for tBTC nodes like this:\r\n\r\n```\r\n    - targets:\r\n      - '<your_node_address>:9601' \r\n      labels:\r\n        server: node-a1\r\n```\r\n\r\nThen you should be able to use this dashboard out of the box.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-24T10:56:24.000Z","updatedAt":"2022-12-01T08:31:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17468"},{"rel":"revisions","href":"/dashboards/17468/revisions"},{"rel":"revision","href":"/dashboards/17468/revisions/2"},{"rel":"download","href":"/dashboards/17468/revisions/2/download"},{"rel":"org","href":"/orgs/antonrp2p"},{"rel":"images","href":"/dashboards/17468/images"},{"rel":"thumbnails","href":"/dashboards/17468/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3716,"status":1,"statusCode":"active","orgId":89454,"orgSlug":"ekapratama93","orgName":"ekapratama93","slug":"thumbor","downloads":447,"revisionId":5093,"revision":1,"name":"Thumbor","description":"Simple thumbor metrics using prometheus","readme":"Visualize Thumbor metrics exported by thumbor_prometheus plugin.\r\n\r\nhttp://thumbor.readthedocs.io/en/latest/plugins.html#thumbor-prometheus-by-simon-effenberg","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-11-14T02:36:56.000Z","updatedAt":"2017-11-14T02:53:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3716"},{"rel":"revisions","href":"/dashboards/3716/revisions"},{"rel":"revision","href":"/dashboards/3716/revisions/1"},{"rel":"download","href":"/dashboards/3716/revisions/1/download"},{"rel":"org","href":"/orgs/ekapratama93"},{"rel":"images","href":"/dashboards/3716/images"},{"rel":"thumbnails","href":"/dashboards/3716/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6448,"status":1,"statusCode":"active","orgId":157261,"orgSlug":"minhkma","orgName":"minhkma","slug":"thuoclao","downloads":306,"revisionId":8761,"revision":1,"name":"Thuoclao","description":"For 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[https://github.com/terjesannum/tibber-exporter](https://github.com/terjesannum/tibber-exporter) for more info.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-08-29T08:58:35.000Z","updatedAt":"2023-09-30T16:26:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/16804"},{"rel":"revisions","href":"/dashboards/16804/revisions"},{"rel":"revision","href":"/dashboards/16804/revisions/4"},{"rel":"download","href":"/dashboards/16804/revisions/4/download"},{"rel":"org","href":"/orgs/terje"},{"rel":"images","href":"/dashboards/16804/images"},{"rel":"thumbnails","href":"/dashboards/16804/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17008,"status":1,"statusCode":"active","orgId":410663,"orgSlug":"hawarkoy","orgName":"Hawar Koyi","slug":"tibber","downloads":2085,"revisionId":32469,"revision":4,"name":"Tibber","description":"Monitor your power usage, costs and more in Grafana dashboard.","readme":"To getting started, visit https://hawar.no/2022/09/tibber-with-grafana-dashboard/\r\n\r\nOnline demo: https://hawarkoy.grafana.net/public-dashboards/3fd6c2c2749d4059baf596ea28ba89cd","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Wild GraphQL Data 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https://github.com/pulse-line-dev/pl_dashboards/tree/master/grafana/pl","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-12-29T08:55:38.000Z","updatedAt":"2019-12-29T08:57:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11481"},{"rel":"revisions","href":"/dashboards/11481/revisions"},{"rel":"revision","href":"/dashboards/11481/revisions/1"},{"rel":"download","href":"/dashboards/11481/revisions/1/download"},{"rel":"org","href":"/orgs/pulselinedev"},{"rel":"images","href":"/dashboards/11481/images"},{"rel":"thumbnails","href":"/dashboards/11481/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13382,"status":1,"statusCode":"active","orgId":435526,"orgSlug":"georgegoh","orgName":"georgegoh","slug":"tkg-kubernetes-cluster-monitoring-via-prometheus-copy","downloads":546,"revisionId":20975,"revision":2,"name":"TKG Kubernetes 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Shows overall cluster CPU / Memory / Filesystem usage as well as individual pod, containers, systemd services statistics.","readme":"This is a modified version of TKG's grafana dashboard that fixes some missing data issues.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-11T01:05:18.000Z","updatedAt":"2021-04-19T09:24:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13382"},{"rel":"revisions","href":"/dashboards/13382/revisions"},{"rel":"revision","href":"/dashboards/13382/revisions/2"},{"rel":"download","href":"/dashboards/13382/revisions/2/download"},{"rel":"org","href":"/orgs/georgegoh"},{"rel":"images","href":"/dashboards/13382/images"},{"rel":"thumbnails","href":"/dashboards/13382/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5702,"status":1,"statusCode":"active","orgId":141575,"orgSlug":"fr6nco","orgName":"fr6nco","slug":"perftests-dane","downloads":310,"revisionId":7727,"revision":1,"name":"TNO - DASH - DANE tests","description":"sorta private project for testing dane with dash","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-04-20T13:25:09.000Z","updatedAt":"2018-04-20T13:26:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5702"},{"rel":"revisions","href":"/dashboards/5702/revisions"},{"rel":"revision","href":"/dashboards/5702/revisions/1"},{"rel":"download","href":"/dashboards/5702/revisions/1/download"},{"rel":"org","href":"/orgs/fr6nco"},{"rel":"images","href":"/dashboards/5702/images"},{"rel":"thumbnails","href":"/dashboards/5702/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16831,"status":1,"statusCode":"active","orgId":577278,"orgSlug":"vimalraj","orgName":"vimalraj","slug":"tnpsc","downloads":263,"revisionId":25803,"revision":1,"name":"Tnpsc","description":"Describe a graphical view of Agnocon","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2022-09-02T05:09:14.000Z","updatedAt":"2022-09-02T05:11:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16831"},{"rel":"revisions","href":"/dashboards/16831/revisions"},{"rel":"revision","href":"/dashboards/16831/revisions/1"},{"rel":"download","href":"/dashboards/16831/revisions/1/download"},{"rel":"org","href":"/orgs/vimalraj"},{"rel":"images","href":"/dashboards/16831/images"},{"rel":"thumbnails","href":"/dashboards/16831/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":16491,"status":1,"statusCode":"active","orgId":5000,"orgSlug":"grafana","orgName":"Grafana Labs","slug":"tns-demo","downloads":1718,"revisionId":25163,"revision":1,"name":"TNS Demo Dashboard","description":"This dashboard accompanies the Kubernetes Monitoring Walkthrough in the Grafana Cloud docs.","readme":"This dashboard accompanies the Kubernetes Monitoring Walkthrough in the Grafana Cloud docs. It is generated from source in the TNS demo app [GitHub repository](https://github.com/grafana/tns). Please follow the walkthrough to set up the demo app and configure Grafana Agent to collect the required telemetry data to power the demo.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-06-22T18:35:59.000Z","updatedAt":"2022-06-22T18:37:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16491"},{"rel":"revisions","href":"/dashboards/16491/revisions"},{"rel":"revision","href":"/dashboards/16491/revisions/1"},{"rel":"download","href":"/dashboards/16491/revisions/1/download"},{"rel":"org","href":"/orgs/grafana"},{"rel":"images","href":"/dashboards/16491/images"},{"rel":"thumbnails","href":"/dashboards/16491/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13017,"status":1,"statusCode":"active","orgId":13097,"orgSlug":"eldintest","orgName":"eldintest","slug":"tns-workshop","downloads":384,"revisionId":18858,"revision":2,"name":"TNS Workshop","description":"TNS workshop dashboard","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-09-15T20:48:34.000Z","updatedAt":"2020-09-17T14:19:50.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13017"},{"rel":"revisions","href":"/dashboards/13017/revisions"},{"rel":"revision","href":"/dashboards/13017/revisions/2"},{"rel":"download","href":"/dashboards/13017/revisions/2/download"},{"rel":"org","href":"/orgs/eldintest"},{"rel":"images","href":"/dashboards/13017/images"},{"rel":"thumbnails","href":"/dashboards/13017/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21345,"status":1,"statusCode":"active","orgId":428770,"orgSlug":"openworklabbot","orgName":"openworklabbot","slug":"token-usage","downloads":585,"revisionId":33221,"revision":1,"name":"Token Usage","description":"RPS by Token","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-17T13:37:48.000Z","updatedAt":"2024-06-17T13:38:04.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21345"},{"rel":"revisions","href":"/dashboards/21345/revisions"},{"rel":"revision","href":"/dashboards/21345/revisions/1"},{"rel":"download","href":"/dashboards/21345/revisions/1/download"},{"rel":"org","href":"/orgs/openworklabbot"},{"rel":"images","href":"/dashboards/21345/images"},{"rel":"thumbnails","href":"/dashboards/21345/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6090,"status":1,"statusCode":"active","orgId":92945,"orgSlug":"christophe","orgName":"christophe","slug":"tomcat","downloads":1526,"revisionId":9285,"revision":2,"name":"Tomcat","description":"Tomcat Dashboard (Micrometer.io)","readme":"Tomcat dashboard will display the metrics from micrometer. You can setup the application name and the region in your Spring Boot app with the config:\r\n\r\n    @Bean\r\n    MeterRegistryCustomizer<MeterRegistry> metricsCommonTags() {\r\n        return registry -> registry.config()\r\n                .commonTags(\r\n                        \"application\", applicationName,\r\n                        \"region\", regionName);\r\n    }\r\n\r\nThe application name and region can be provided in your application.properties or environment variables.\r\n\r\nThe thread alert threshold is set to 170 threads. The default value for `tomcat_threads_config_max` is 200.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-05-15T18:11:28.000Z","updatedAt":"2018-07-05T14:10:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6090"},{"rel":"revisions","href":"/dashboards/6090/revisions"},{"rel":"revision","href":"/dashboards/6090/revisions/2"},{"rel":"download","href":"/dashboards/6090/revisions/2/download"},{"rel":"org","href":"/orgs/christophe"},{"rel":"images","href":"/dashboards/6090/images"},{"rel":"thumbnails","href":"/dashboards/6090/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8704,"status":1,"statusCode":"active","orgId":204175,"orgSlug":"chanjarster","orgName":"chanjarster","slug":"tomcat-dashboard","downloads":24470,"revisionId":13207,"revision":10,"name":"Tomcat dashboard","description":"Tomcat dashboard using metrics from prometheus JMX exporter, with drill down per job > instance","readme":"Gist is [here](https://gist.github.com/chanjarster/9e164df1461501ebfd7bc4c66d281a7f)\n\nDashboard for `tomcat_*` metrics which are exported by [JMX exporter](https://github.com/prometheus/jmx_exporter).\n\nAlso has a detail link to [JVM dashboard](https://grafana.com/dashboards/8563) on server info panel\n\nPrometheus with config example:\n\n```yaml\nscrape_configs:\n  - job_name: 'java'\n    static_configs:\n    - targets: ['<host>:<port>']\n```\n\nYou can change config file's `job_name` and dashboard's `job` constant variable correspondingly.\n\njmx-exporter config example:\n\n```yaml\n---   \nlowercaseOutputLabelNames: true\nlowercaseOutputName: true\nwhitelistObjectNames: [\"java.lang:type=OperatingSystem\", \"Catalina:*\"]\nblacklistObjectNames: []\nrules:\n  - pattern: 'Catalina<type=Server><>serverInfo: (.+)'\n    name: tomcat_serverinfo\n    value: 1\n    labels:\n      serverInfo: \"$1\"\n    type: COUNTER\n  - pattern: 'Catalina<type=GlobalRequestProcessor, name=\\\"(\\w+-\\w+)-(\\d+)\\\"><>(\\w+):'\n    name: tomcat_$3_total\n    labels:\n      port: \"$2\"\n      protocol: \"$1\"\n    help: Tomcat global $3\n    type: COUNTER\n  - pattern: 'Catalina<j2eeType=Servlet, WebModule=//([-a-zA-Z0-9+&@#/%?=~_|!:.,;]*[-a-zA-Z0-9+&@#/%=~_|]), name=([-a-zA-Z0-9+/$%~_-|!.]*), J2EEApplication=none, J2EEServer=none><>(requestCount|processingTime|errorCount):'\n    name: tomcat_servlet_$3_total\n    labels:\n      module: \"$1\"\n      servlet: \"$2\"\n    help: Tomcat servlet $3 total\n    type: COUNTER\n  - pattern: 'Catalina<type=ThreadPool, name=\"(\\w+-\\w+)-(\\d+)\"><>(currentThreadCount|currentThreadsBusy|keepAliveCount|connectionCount|acceptCount|acceptorThreadCount|pollerThreadCount|maxThreads|minSpareThreads):'\n    name: tomcat_threadpool_$3\n    labels:\n      port: \"$2\"\n      protocol: \"$1\"\n    help: Tomcat threadpool $3\n    type: GAUGE\n  - pattern: 'Catalina<type=Manager, host=([-a-zA-Z0-9+&@#/%?=~_|!:.,;]*[-a-zA-Z0-9+&@#/%=~_|]), context=([-a-zA-Z0-9+/$%~_-|!.]*)><>(processingTime|sessionCounter|rejectedSessions|expiredSessions):'\n    name: tomcat_session_$3_total\n    labels:\n      context: \"$2\"\n      host: \"$1\"\n    help: Tomcat session $3 total\n    type: COUNTER   \n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-10-30T02:32:14.000Z","updatedAt":"2018-12-20T04:05:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/8704"},{"rel":"revisions","href":"/dashboards/8704/revisions"},{"rel":"revision","href":"/dashboards/8704/revisions/10"},{"rel":"download","href":"/dashboards/8704/revisions/10/download"},{"rel":"org","href":"/orgs/chanjarster"},{"rel":"images","href":"/dashboards/8704/images"},{"rel":"thumbnails","href":"/dashboards/8704/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8881,"status":1,"statusCode":"active","orgId":204175,"orgSlug":"chanjarster","orgName":"chanjarster","slug":"tomcat-dashboard-for-prometheus-operator","downloads":1290,"revisionId":22338,"revision":11,"name":"Tomcat dashboard (for Prometheus Operator)","description":"Tomcat dashboard using metrics from prometheus JMX exporter","readme":"Gist is [here](https://gist.github.com/chanjarster/bca664402237529a989799f9421d6074)\n\nA Prometheus Operator version of [Tomcat dashboard](https://grafana.com/dashboards/8704)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-11-09T05:54:54.000Z","updatedAt":"2021-09-03T03:57:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8881"},{"rel":"revisions","href":"/dashboards/8881/revisions"},{"rel":"revision","href":"/dashboards/8881/revisions/11"},{"rel":"download","href":"/dashboards/8881/revisions/11/download"},{"rel":"org","href":"/orgs/chanjarster"},{"rel":"images","href":"/dashboards/8881/images"},{"rel":"thumbnails","href":"/dashboards/8881/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":1503,"status":1,"statusCode":"active","orgId":44845,"orgSlug":"adejoux","orgName":"adejoux","slug":"tomcat-jvm-overview","downloads":3047,"revisionId":1998,"revision":1,"name":"Tomcat JVM Overview","description":"Display JMX statistics","readme":"This dashboard display multiple JMX metrics from Tomcat. JMX needs to be enabled on the Tomcat instance.\r\n\r\nThis dashboard use https://github.com/egineering-llc/collectd-fast-jmx plugin. The configuration is a mix between multiple example confiugration files found on Internet:\r\n\r\n```\r\nLoadPlugin java\r\n<Plugin \"java\">\r\n  JVMARG \"-Djava.class.path=/usr/share/collectd/java/collectd-api.jar:/usr/share/collectd/java/collectd-fast-jmx.jar\"\r\n\r\n\r\n  LoadPlugin \"com.e_gineering.collectd.FastJMX\"\r\n\r\n  <Plugin \"FastJMX\">\r\n    MaxThreads 256\r\n    CollectInternal true\r\n\r\n    <MBean \"classes\">\r\n      ObjectName \"java.lang:type=ClassLoading\"\r\n\r\n      <Value \"LoadedClassCount\">\r\n        Type \"gauge\"\r\n        InstancePrefix \"loaded_classes\"\r\n        PluginName \"JVM\"\r\n      </Value>\r\n    </MBean>\r\n\r\n    # Time spent by the JVM compiling or optimizing.\r\n    <MBean \"compilation\">\r\n      ObjectName \"java.lang:type=Compilation\"\r\n\r\n      <Value \"TotalCompilationTime\">\r\n        Type \"total_time_in_ms\"\r\n        InstancePrefix \"compilation_time\"\r\n        PluginName \"JVM\"\r\n      </Value>\r\n    </MBean>\r\n\r\n    # Garbage collector information\r\n    <MBean \"garbage_collector\">\r\n      ObjectName \"java.lang:type=GarbageCollector,*\"\r\n      InstancePrefix \"gc-\"\r\n      InstanceFrom \"name\"\r\n\r\n      <Value \"CollectionTime\">\r\n        Type \"total_time_in_ms\"\r\n        InstancePrefix \"collection_time\"\r\n        PluginName \"JVM\"\r\n      </Value>\r\n    </MBean>\r\n\r\n  <MBean \"memory_pool\">\r\n    ObjectName \"java.lang:type=MemoryPool,*\"\r\n    InstancePrefix \"memory_pool-\"\r\n    InstanceFrom \"name\"\r\n    <Value>\r\n      Type \"memory\"\r\n      Table true\r\n      Attribute \"Usage\"\r\n    </Value>\r\n  </MBean>\r\n   <MBean \"memory-heap\">\r\n    ObjectName \"java.lang:type=Memory\"\r\n    InstancePrefix \"memory-heap\"\r\n    <Value>\r\n      Type \"memory\"\r\n      Table true\r\n      Attribute \"HeapMemoryUsage\"\r\n    </Value>\r\n  </MBean>\r\n  <MBean \"memory-nonheap\">\r\n    ObjectName \"java.lang:type=Memory\"\r\n    InstancePrefix \"memory-nonheap\"\r\n    <Value>\r\n      Type \"memory\"\r\n      Table true\r\n      Attribute \"NonHeapMemoryUsage\"\r\n    </Value>\r\n  </MBean>\r\n   <MBean \"thread\">\r\n    ObjectName \"java.lang:type=Threading\"\r\n    InstancePrefix \"threading\"\r\n    <Value>\r\n      Type \"gauge\"\r\n      Table false\r\n      Attribute \"ThreadCount\"\r\n      InstancePrefix \"count\"\r\n    </Value>\r\n  </MBean>\r\n  <MBean \"thread-daemon\">\r\n    ObjectName \"java.lang:type=Threading\"\r\n    InstancePrefix \"threading\"\r\n    <Value>\r\n      Type \"gauge\"\r\n      Table false\r\n      Attribute \"DaemonThreadCount\"\r\n      InstancePrefix \"count-daemon\"\r\n    </Value>\r\n  </MBean>\r\n    ### MBeans by Catalina / Tomcat ###\r\n    # The global request processor (summary for each request processor)\r\n    <MBean \"catalina/global_request_processor\">\r\n      ObjectName \"Catalina:type=GlobalRequestProcessor,*\"\r\n      InstancePrefix \"catalina_request_processor-\"\r\n      InstanceFrom \"name\"\r\n\r\n      <Value>\r\n        Type \"io_octets\"\r\n        InstancePrefix \"global\"\r\n        #InstanceFrom \"\"\r\n        Table false\r\n        Attribute \"bytesReceived\"\r\n        Attribute \"bytesSent\"\r\n      </Value>\r\n\r\n      <Value>\r\n        Type \"total_requests\"\r\n        InstancePrefix \"global\"\r\n        #InstanceFrom \"\"\r\n        Table false\r\n        Attribute \"requestCount\"\r\n      </Value>\r\n\r\n      <Value>\r\n        Type \"total_time_in_ms\"\r\n        InstancePrefix \"global-processing\"\r\n        #InstanceFrom \"\"\r\n        Table false\r\n        Attribute \"processingTime\"\r\n      </Value>\r\n    </MBean>\r\n\r\n    <MBean \"catalina/threadpool\">\r\n      ObjectName \"Catalina:type=ThreadPool,*\"\r\n      InstancePrefix \"catalina_threadpool-\"\r\n      InstanceFrom \"name\"\r\n\r\n      <Value>\r\n        Type \"gauge\"\r\n        Table false\r\n        Attribute \"maxThreads\"\r\n        InstancePrefix \"threadpool-maxThreads\"\r\n      </Value>\r\n      <Value>\r\n        Type \"gauge\"\r\n        Table false\r\n        Attribute \"connectionCount\"\r\n        InstancePrefix \"threadpool-connectionCount\"\r\n      </Value>\r\n    </MBean>\r\n\r\n    <MBean \"tomcat_manager\">\r\n         ObjectName \"Catalina:type=Manager,context=*,host=*\"\r\n         InstanceFrom \"context\"\r\n         <Value>\r\n            Type \"gauge\"\r\n            InstancePrefix \"manager-active_sessions\"\r\n            Table false\r\n            Attribute \"activeSessions\"\r\n        </Value>\r\n    </MBean>\r\n\r\n    <MBean \"jvm_runtime\">\r\n      ObjectName \"java.lang:type=Runtime\"\r\n      <Value>\r\n        Type \"counter\"\r\n        InstancePrefix \"runtime-uptime\"\r\n        Table false\r\n        Attribute \"Uptime\"\r\n      </Value>\r\n    </MBean>\r\n\r\n     <MBean \"jvm_system\">\r\n       ObjectName \"java.lang:type=OperatingSystem\"\r\n       <Value>\r\n         Type \"gauge\"\r\n         InstancePrefix \"os-open_fd_count\"\r\n         Table false\r\n         Attribute \"OpenFileDescriptorCount\"\r\n       </Value>\r\n       <Value>\r\n         Type \"counter\"\r\n         InstancePrefix \"os-process_cpu_time\"\r\n         Table false\r\n         Attribute \"ProcessCpuTime\"\r\n       </Value>\r\n     </MBean>\r\n    <Connection>\r\n      ServiceURL \"service:jmx:rmi:///jndi/rmi://myserver:9090/jmxrmi\"\r\n      Host \"myserver\"\r\n      User \"myuser\"\r\n      Password \"mypassword\"\r\n      IncludePortInHostname true\r\n      Collect \"classes\"\r\n      Collect \"thread\"\r\n      Collect \"thread-daemon\"\r\n      Collect \"compilation\"\r\n      Collect \"garbage_collector\"\r\n      Collect \"memory_pool\"\r\n      Collect \"memory-heap\"\r\n      Collect \"memory-nonheap\"\r\n      Collect \"catalina/global_request_processor\"\r\n      Collect \"catalina/threadpool\"\r\n      Collect \"jvm_system\"\r\n      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pod","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-07-05T12:27:37.000Z","updatedAt":"2019-07-05T12:32:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10484"},{"rel":"revisions","href":"/dashboards/10484/revisions"},{"rel":"revision","href":"/dashboards/10484/revisions/1"},{"rel":"download","href":"/dashboards/10484/revisions/1/download"},{"rel":"org","href":"/orgs/csabaujvari"},{"rel":"images","href":"/dashboards/10484/images"},{"rel":"thumbnails","href":"/dashboards/10484/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20080,"status":1,"statusCode":"active","orgId":564999,"orgSlug":"traefiklabs","orgName":"Traefik Labs","slug":"hub-dashboard","downloads":449,"revisionId":30868,"revision":1,"name":"Traefik Hub","description":"Official Traefik Hub dashboard","readme":"## About\r\n\r\n[Traefik Hub](https://traefik.io/traefik-hub/) is a Kubernetes-native API Management solution for publishing, securing, and managing APIs, with support for [Traefik](https://traefik.io/traefik/) and third-party ingress controllers including NGINX.\r\n\r\n## Features\r\n\r\n- Endpoints and status codes\r\n- User-based consumption with drill-down by token\r\n- Detailed consumption overview per API\r\n- Response times\r\n- System-wide overview about all traffic\r\n- Much more\r\n\r\nFor a list about all supported metrics, please check the [official Traefik Hub documentation](https://doc.traefik.io/traefik-hub/operations/telemetry/metrics/ \"Link to official Traefik Hub docs about metrics\") about all available metrics.\r\n\r\n## Requirements\r\n\r\n- [A Traefik Hub agent with enabled OpenTelemetry support](https://doc.traefik.io/traefik-hub/operations/telemetry/otel-hub-config/)\r\n- [Prometheus Contrib Collector](https://github.com/open-telemetry/opentelemetry-collector-contrib) or Prometheus [v2.47.0-rc.0](https://github.com/prometheus/prometheus/releases/tag/v2.47.0-rc.0) (or higher)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-12-04T15:35:28.000Z","updatedAt":"2023-12-19T13:11:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20080"},{"rel":"revisions","href":"/dashboards/20080/revisions"},{"rel":"revision","href":"/dashboards/20080/revisions/1"},{"rel":"download","href":"/dashboards/20080/revisions/1/download"},{"rel":"org","href":"/orgs/traefiklabs"},{"rel":"images","href":"/dashboards/20080/images"},{"rel":"thumbnails","href":"/dashboards/20080/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20081,"status":1,"statusCode":"active","orgId":564999,"orgSlug":"traefiklabs","orgName":"Traefik Labs","slug":"api","downloads":589,"revisionId":30869,"revision":1,"name":"Traefik Hub API","description":"Official Traefik Hub dashboard on API","readme":"## About\r\n[Traefik Hub](https://traefik.io/traefik-hub/) is a Kubernetes-native API Management solution for publishing, securing, and managing APIs, with support for [Traefik](https://traefik.io/traefik/) and third-party ingress controllers including NGINX.\r\n\r\n## Features\r\n\r\n- Endpoints and status codes\r\n- User-based consumption with drill-down by token\r\n- Detailed consumption overview per API\r\n- Response times\r\n- System-wide overview about all traffic\r\n- Much more\r\n\r\nFor a list about all supported metrics, please check the [official Traefik Hub documentation](https://doc.traefik.io/traefik-hub/operations/telemetry/metrics/ \"Link to official Traefik Hub docs about metrics\") about all available metrics.\r\n\r\n## Requirements\r\n\r\n- [A Traefik Hub agent with enabled OpenTelemetry support](https://doc.traefik.io/traefik-hub/operations/telemetry/otel-hub-config/)\r\n- [Prometheus Contrib Collector](https://github.com/open-telemetry/opentelemetry-collector-contrib) or Prometheus [v2.47.0-rc.0](https://github.com/prometheus/prometheus/releases/tag/v2.47.0-rc.0) (or higher)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-12-04T15:53:52.000Z","updatedAt":"2023-12-19T13:11:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20081"},{"rel":"revisions","href":"/dashboards/20081/revisions"},{"rel":"revision","href":"/dashboards/20081/revisions/1"},{"rel":"download","href":"/dashboards/20081/revisions/1/download"},{"rel":"org","href":"/orgs/traefiklabs"},{"rel":"images","href":"/dashboards/20081/images"},{"rel":"thumbnails","href":"/dashboards/20081/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20082,"status":1,"statusCode":"active","orgId":564999,"orgSlug":"traefiklabs","orgName":"Traefik Labs","slug":"api-management","downloads":440,"revisionId":30870,"revision":1,"name":"Traefik Hub Resources","description":"Official Traefik Hub dashboard on Resources","readme":"## About\r\n\r\n[Traefik Hub](https://traefik.io/traefik-hub/) is a Kubernetes-native API Management solution for publishing, securing, and managing APIs, with support for [Traefik](https://traefik.io/traefik/) and third-party ingress controllers including NGINX.\r\n\r\n## Features\r\n\r\n- Endpoints and status codes\r\n- User-based consumption with drill-down by token\r\n- Detailed consumption overview per API\r\n- Response times\r\n- System-wide overview about all traffic\r\n- Much more\r\n\r\nFor a list about all supported metrics, please check the [official Traefik Hub documentation](https://doc.traefik.io/traefik-hub/operations/telemetry/metrics/ \"Link to official Traefik Hub docs about metrics\") about all available metrics.\r\n\r\n## Requirements\r\n\r\n- [A Traefik Hub agent with enabled OpenTelemetry support](https://doc.traefik.io/traefik-hub/operations/telemetry/otel-hub-config/)\r\n- [Prometheus Contrib Collector](https://github.com/open-telemetry/opentelemetry-collector-contrib) or Prometheus [v2.47.0-rc.0](https://github.com/prometheus/prometheus/releases/tag/v2.47.0-rc.0) (or 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Hub](https://traefik.io/traefik-hub/) is a Kubernetes-native API Management solution for publishing, securing, and managing APIs, with support for [Traefik](https://traefik.io/traefik/) and third-party ingress controllers including NGINX.\r\n\r\n## Features\r\n\r\n- Endpoints and status codes\r\n- User-based consumption with drill-down by token\r\n- Detailed consumption overview per API\r\n- Response times\r\n- System-wide overview about all traffic\r\n- Much more\r\n\r\nFor a list about all supported metrics, please check the [official Traefik Hub documentation](https://doc.traefik.io/traefik-hub/operations/telemetry/metrics/ \"Link to official Traefik Hub docs about metrics\") about all available metrics.\r\n\r\n## Requirements\r\n\r\n- [A Traefik Hub agent with enabled OpenTelemetry support](https://doc.traefik.io/traefik-hub/operations/telemetry/otel-hub-config/)\r\n- [Prometheus Contrib Collector](https://github.com/open-telemetry/opentelemetry-collector-contrib) or Prometheus [v2.47.0-rc.0](https://github.com/prometheus/prometheus/releases/tag/v2.47.0-rc.0) (or higher)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-12-04T15:58:39.000Z","updatedAt":"2023-12-19T13:11:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20083"},{"rel":"revisions","href":"/dashboards/20083/revisions"},{"rel":"revision","href":"/dashboards/20083/revisions/1"},{"rel":"download","href":"/dashboards/20083/revisions/1/download"},{"rel":"org","href":"/orgs/traefiklabs"},{"rel":"images","href":"/dashboards/20083/images"},{"rel":"thumbnails","href":"/dashboards/20083/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16827,"status":1,"statusCode":"active","orgId":310091,"orgSlug":"gitbeyond","orgName":"gitbeyond","slug":"traefik-kubernets-service","downloads":770,"revisionId":25799,"revision":1,"name":"traefik kubernets 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It should speed-up loading of your frequently viewed dashboards.\r\n\r\nThis dashboard should give you good idea about how is Trickster effective in caching, it's utilization \r\nand possibility to observe possible impacts on time-series databases behind it (currently only Prometheus).\r\n\r\n\r\n## Description\r\nThis dashboard uses those metric sources:\r\n- Trickster's own metrics (for most of the important data)\r\n- Prometheus own metrics (for observing impact on Prometheus)\r\n- KubeStateMetrics (those are used only for resources limits display. \r\nThis is Kubernetes specific you can override this by putting static values you use)\r\n\r\nEvery graph should have description tooltip on the upper left cornet if you hover over it.\r\n\r\n\r\n## Requirements\r\n\r\n### Datasource\r\n- Prometheus datasource _(this can be directly datasource leading to Prometheus \r\ninstance or the Trickster itself if you like recursion :)_\r\n\r\n### Variables\r\nTo identify Trickster and Prometheus metrics dashboard needs you to specify label and it's \r\nvalue identifying their metrics. 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There is a dependency on having CVE metric data available which is disabled by default in the chart. 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It has been tested with v13 but may work with older versions as well.\r\n\r\nTrueNAS CORE sends metrics using the Graphite protocol, and the dashboard requires a Graphite data source. [VictoriaMetrics](https://docs.victoriametrics.com/#graphite-api-usage) is a simple way to setup a receiver for Graphite metrics which also has the Graphite API support Grafana requires.\r\n\r\nThe dashboard is also available from [https://github.com/chrisred/grafana-truenas](https://github.com/chrisred/grafana-truenas).\r\n\r\n## Setup\r\n\r\n1. Configure the TrueNAS [Graphite options](https://www.truenas.com/docs/core/13.0/uireference/system/reporting/) under System > Reporting, check both \"Report CPU usage in percent\" and \"Graphite Separate Instances\".\r\n\r\n2. Create a Graphite data source in Grafana, using VictoriaMetrics (or another solution) as the source.\r\n\r\n3. Import the dashboard via the Dashboards > New > Import option in Grafana.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2025-02-23T14:48:20.000Z","updatedAt":"2025-02-23T21:21:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22925"},{"rel":"revisions","href":"/dashboards/22925/revisions"},{"rel":"revision","href":"/dashboards/22925/revisions/2"},{"rel":"download","href":"/dashboards/22925/revisions/2/download"},{"rel":"org","href":"/orgs/chrisred"},{"rel":"images","href":"/dashboards/22925/images"},{"rel":"thumbnails","href":"/dashboards/22925/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":20804,"status":1,"statusCode":"active","orgId":672276,"orgSlug":"gattancha","orgName":"GCS Projects","slug":"truenas-dashboard","downloads":381,"revisionId":32206,"revision":1,"name":"TrueNAS Dashboard","description":"TrueNAS Dashboard using InfluxDb","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-03-29T14:37:32.000Z","updatedAt":"2024-03-29T14:48:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20804"},{"rel":"revisions","href":"/dashboards/20804/revisions"},{"rel":"revision","href":"/dashboards/20804/revisions/1"},{"rel":"download","href":"/dashboards/20804/revisions/1/download"},{"rel":"org","href":"/orgs/gattancha"},{"rel":"images","href":"/dashboards/20804/images"},{"rel":"thumbnails","href":"/dashboards/20804/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16745,"status":1,"statusCode":"active","orgId":499492,"orgSlug":"sachinsureshmore","orgName":"sachinsureshmore","slug":"truenas-scale","downloads":545,"revisionId":25678,"revision":1,"name":"TrueNAS Scale","description":"TrueNAS Scale dashboard using Graphite data source.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2022-08-19T20:06:06.000Z","updatedAt":"2022-08-19T20:23:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":2,"links":[{"rel":"self","href":"/dashboards/16745"},{"rel":"revisions","href":"/dashboards/16745/revisions"},{"rel":"revision","href":"/dashboards/16745/revisions/1"},{"rel":"download","href":"/dashboards/16745/revisions/1/download"},{"rel":"org","href":"/orgs/sachinsureshmore"},{"rel":"images","href":"/dashboards/16745/images"},{"rel":"thumbnails","href":"/dashboards/16745/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":20439,"status":1,"statusCode":"active","orgId":122819,"orgSlug":"mspencerl87","orgName":"Spencer LeB","slug":"truenas-scale","downloads":1207,"revisionId":31566,"revision":1,"name":"TrueNAS Scale - Graphite","description":"TrueNAS Scale Dashboard, using the default Graphite options in TrueNAS Scale.\r\n\r\nSee me @ blog.filegarden.net","readme":"TrueNAS Scale + Graphite Dashboard.\r\nVisit me @blog.filegarden.net","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2024-02-09T14:09:53.000Z","updatedAt":"2024-02-14T19:38:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20439"},{"rel":"revisions","href":"/dashboards/20439/revisions"},{"rel":"revision","href":"/dashboards/20439/revisions/1"},{"rel":"download","href":"/dashboards/20439/revisions/1/download"},{"rel":"org","href":"/orgs/mspencerl87"},{"rel":"images","href":"/dashboards/20439/images"},{"rel":"thumbnails","href":"/dashboards/20439/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":23204,"status":1,"statusCode":"active","orgId":1396278,"orgSlug":"ckgupta2685","orgName":"ckgupta2685","slug":"truenas-scale-graphite","downloads":311,"revisionId":36725,"revision":1,"name":"TrueNAS Scale - Graphite","description":"TrueNAS Scale Dashboard, using the default Graphite options in TrueNAS Scale.\r\n\r\nSee me @ blog.filegarden.net","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"zfs","datasource":"Graphite","privacy":"public","createdAt":"2025-04-06T20:26:44.000Z","updatedAt":"2025-04-06T20:35:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23204"},{"rel":"revisions","href":"/dashboards/23204/revisions"},{"rel":"revision","href":"/dashboards/23204/revisions/1"},{"rel":"download","href":"/dashboards/23204/revisions/1/download"},{"rel":"org","href":"/orgs/ckgupta2685"},{"rel":"images","href":"/dashboards/23204/images"},{"rel":"thumbnails","href":"/dashboards/23204/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":20199,"status":1,"statusCode":"active","orgId":124973,"orgSlug":"ray1ex","orgName":"ray1ex","slug":"truenas-graphite-flux","downloads":587,"revisionId":33731,"revision":5,"name":"TrueNAS[Graphite][Flux]","description":"","readme":"","collectorType":"Telegraf","collectorConfig":"```toml\r\n[[outputs.influxdb_v2]]\r\n  ## The URLs of the InfluxDB cluster nodes.\r\n  urls = [\"http://192.168.1.1:8086\"]\r\n\r\n  ## API token for authentication.\r\n  token = \"$INFLUX_TOKEN\"\r\n\r\n  ## Organization is the name of the organization you wish to write to; must exist.\r\n  organization = \"monitor\"\r\n\r\n  ## Destination bucket to write into.\r\n  bucket = \"truenas-graphite\"\r\n\r\n# Generic socket listener capable of handling multiple socket types.\r\n[[inputs.socket_listener]]\r\n  ## URL to listen on\r\n  service_address = \"tcp://:12003\"\r\n\r\n   ## Data format to consume.\r\n  ## Each data format has its own unique set of configuration options, read\r\n  ## more about them here:\r\n  ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md\r\n  # data_format = \"influx\"\r\n  data_format = \"graphite\"\r\n\r\n  ## Content encoding for message payloads, can be set to \"gzip\" to or\r\n  ## \"identity\" to apply no encoding.\r\n  # content_encoding = \"identity\"\r\n\r\n  templates = [\r\n    \"os.host.measurement.type.field\"\r\n  ]\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-12-22T08:08:32.000Z","updatedAt":"2024-07-24T04:56:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20199"},{"rel":"revisions","href":"/dashboards/20199/revisions"},{"rel":"revision","href":"/dashboards/20199/revisions/5"},{"rel":"download","href":"/dashboards/20199/revisions/5/download"},{"rel":"org","href":"/orgs/ray1ex"},{"rel":"images","href":"/dashboards/20199/images"},{"rel":"thumbnails","href":"/dashboards/20199/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22459,"status":1,"statusCode":"active","orgId":662062,"orgSlug":"krzwiatrzyk","orgName":"krzwiatrzyk","slug":"trufflehog","downloads":280,"revisionId":35287,"revision":1,"name":"Trufflehog","description":"A dashboard to visualize Trufflehog secrets findings.","readme":"How to prepare data is described in detail in the following blog post: https://blog.windkube.com/visualize-trufflehog-findings/ \r\n\r\nTo prepare data in proper format, run Trufflehog with JSON output and forward it to the file:\r\n\r\n```\r\ntrufflehog filesystem {{ .DIRECTORY }} --json \\\r\n--force-skip-binaries \\\r\n--force-skip-archives \\\r\n--concurrency=1 |\\\r\ntee -a /trufflehog/$(date +%Y-%m-%d-%H-%M-%S).json\r\n```\r\n\r\nAnd now process this file with Vector, example configuration:\r\n\r\n```\r\ndata_dir: /var/lib/vector\r\n\r\nsources:\r\n  file:\r\n    type: file\r\n    include:\r\n    - /trufflehog/*.json\r\n\r\ntransforms:\r\n  parse:\r\n    type: remap\r\n    inputs:\r\n    - file\r\n    source: |\r\n      . = parse_json!(.message)\r\n\r\n  add_timestamp:\r\n    type: remap\r\n    inputs:\r\n    - parse\r\n    source: |\r\n      .@timestamp = now()\r\n\r\nsinks:\r\n  elastic:\r\n    type: elasticsearch\r\n    inputs:\r\n    - add_timestamp\r\n    endpoints:\r\n    - \"http://elasticsearch:9200\"\r\n    auth:\r\n      strategy: \"basic\"\r\n      user: \"elastic\"\r\n      password: \"elastic\"\r\n    id_key: \"_id\"\r\n    mode: \"bulk\"\r\n    bulk:\r\n      index: \"trufflehog\"\r\n      action: create\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2024-12-03T09:08:12.000Z","updatedAt":"2024-12-03T11:08:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22459"},{"rel":"revisions","href":"/dashboards/22459/revisions"},{"rel":"revision","href":"/dashboards/22459/revisions/1"},{"rel":"download","href":"/dashboards/22459/revisions/1/download"},{"rel":"org","href":"/orgs/krzwiatrzyk"},{"rel":"images","href":"/dashboards/22459/images"},{"rel":"thumbnails","href":"/dashboards/22459/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":24404,"status":1,"statusCode":"active","orgId":1591628,"orgSlug":"veresmiklosclaas","orgName":"veresmiklosclaas","slug":"workplace-overview","downloads":48,"revisionId":39032,"revision":1,"name":"Trumpf Gépek rendelkezésreállása","description":"Trumpf gépek rendelezésreállása","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Microsoft SQL Server","privacy":"public","createdAt":"2025-11-17T12:25:25.000Z","updatedAt":"2025-11-17T12:26:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24404"},{"rel":"revisions","href":"/dashboards/24404/revisions"},{"rel":"revision","href":"/dashboards/24404/revisions/1"},{"rel":"download","href":"/dashboards/24404/revisions/1/download"},{"rel":"org","href":"/orgs/veresmiklosclaas"},{"rel":"images","href":"/dashboards/24404/images"},{"rel":"thumbnails","href":"/dashboards/24404/thumbnails"}],"datasourceSlugs":["mssql"]},{"id":19959,"status":1,"statusCode":"active","orgId":375174,"orgSlug":"usareddragon","orgName":"usareddragon","slug":"trunk-recorder","downloads":557,"revisionId":31856,"revision":5,"name":"Trunk-recorder","description":"https://github.com/USA-RedDragon/trunk-recorder-prometheus","readme":"# Trunk Recorder Prometheus Plugin\r\n\r\nThis is a plugin for Trunk Recorder that publishes metrics in Prometheus format.\r\n\r\n## Grafana Dashboard\r\n\r\nA Grafana dashboard is available [here](https://grafana.com/grafana/dashboards/19959) and also in the `grafana/dashboard.json` file in this repository.\r\n\r\n### Image\r\n\r\n![Grafana Dashboard](https://github.com/USA-RedDragon/trunk-recorder-prometheus/raw/main/grafana/dashboard.png)\r\n\r\n## Install\r\n\r\n1. **Build and install the current version of Trunk Recorder** following these [instructions](https://github.com/robotastic/trunk-recorder/blob/master/docs/INSTALL-LINUX.md). Make sure you do a `sudo make install` at the end to install the Trunk Recorder binary and libaries systemwide. The plugin will be built against these libraries.\r\n\r\n1. Now, **install the prometheus-cpp Library**. The full documentation for that is [here](https://github.com/jupp0r/prometheus-cpp)... but the basic commands are as follows:\r\n\r\n```bash\r\ngit clone https://github.com/jupp0r/prometheus-cpp.git\r\ncd prometheus-cpp\r\n\r\n# fetch third-party dependencies\r\ngit submodule init\r\ngit submodule update\r\n\r\nmkdir _build\r\ncd _build\r\n\r\n# run cmake\r\ncmake .. -DBUILD_SHARED_LIBS=ON -DENABLE_PUSH=OFF -DENABLE_COMPRESSION=ON\r\n\r\n# build\r\ncmake --build . --parallel 4\r\n\r\n# run tests\r\nctest -V\r\n\r\n# install the libraries and headers\r\ncmake --install .\r\n```\r\n\r\n3. Build and install the plugin:\r\n\r\n```bash\r\nmkdir build\r\ncd build\r\ncmake ..\r\nsudo make install\r\n```\r\n\r\n## Configure\r\n\r\n| Key       | Required | Default Value | Type     | Description                                                  |\r\n| --------- | :------: | ------------- | -------- | ------------------------------------------------------------ |\r\n| port      |          | 9842          | uint16_t | The port to listen on for HTTP requests                      |\r\n\r\n### Plugin Object Example\r\n\r\nSee the included [config.json](./config.json) as an example of how to load this plugin.\r\n\r\n```yaml\r\n    \"plugins\": [\r\n    {\r\n        \"name\": \"prometheus\",\r\n        \"library\": \"libprometheus_plugin.so\",\r\n        \"port\": 9842\r\n    }]\r\n```\r\n\r\n## Docker\r\n\r\nThe included Dockerfile will allow buliding a trunk-recorder docker image with this plugin included.\r\n\r\n`docker-compose` can be used to automate the build and deployment of this image. In the Docker compose file replace the image line with a build line pointing to the location where this repo has been cloned to.\r\n\r\nDocker compose file:\r\n\r\n```yaml\r\nversion: '3'\r\nservices:\r\n  recorder:\r\n    build: ./trunk-recorder-prometheus\r\n    container_name: trunk-recorder\r\n    restart: always\r\n    privileged: true\r\n    volumes:\r\n      - /dev/bus/usb:/dev/bus/usb\r\n      - /var/run/dbus:/var/run/dbus\r\n      - /var/run/avahi-daemon/socket:/var/run/avahi-daemon/socket\r\n      - ./:/app\r\n```\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-11-11T04:21:37.000Z","updatedAt":"2024-03-03T20:07:32.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19959"},{"rel":"revisions","href":"/dashboards/19959/revisions"},{"rel":"revision","href":"/dashboards/19959/revisions/5"},{"rel":"download","href":"/dashboards/19959/revisions/5/download"},{"rel":"org","href":"/orgs/usareddragon"},{"rel":"images","href":"/dashboards/19959/images"},{"rel":"thumbnails","href":"/dashboards/19959/thumbnails"}]},{"id":25256,"status":1,"statusCode":"active","orgId":1680365,"orgSlug":"devtrustgrid","orgName":"devtrustgrid","slug":"trustgrid-node-dashboard","downloads":8,"revisionId":40657,"revision":1,"name":"Trustgrid Node Dashboard","description":"A reference dashboard for Trustgrid customers showing how to use Trustgrid's built-in OTEL exporter to monitor Trustgrid appliances in Grafana. Includes interface RX/TX, VPN overlay traffic, system resources, gateway connectivity, connection flows, and structured log panels for node events, audit logs, and config changes.","readme":"# Trustgrid Node Dashboard\r\n\r\nA sample dashboard for monitoring [Trustgrid](https://trustgrid.io) edge nodes using the built-in OpenTelemetry (OTEL) exporter. Use it as a starting point or reference for building your own Trustgrid monitoring in Grafana.\r\n\r\n## What This Dashboard Shows\r\n\r\n**Top bar - at-a-glance status**\r\n\r\n- CPU, memory, and disk utilization\r\n- Gateway connectivity percentage\r\n- Active vs. available gateway connections\r\n\r\n**Network Traffic**\r\n\r\n- Interface RX and TX throughput (bytes/sec), filterable by interface\r\n- VPN/overlay tunnel throughput\r\n\r\n**Connection Flows**\r\n\r\n- Active, new, and embryonic (half-open TCP) flows\r\n- TCP resets over time useful for spotting dropped connections or service disruptions\r\n\r\n**System Resources**\r\n\r\n- CPU, memory, and disk usage over time\r\n- JVM heap utilization\r\n- Gateway connection counts over time\r\n\r\n**Node Events and Logs**\r\n\r\n- Node Events: connectivity changes, gateway disruptions, failover events, and network errors\r\n- Node Audit Log: user-initiated actions such as upgrades and restarts\r\n- Change Audit Log: changes that were made, and who made them\r\n\r\n## Requirements\r\n\r\n- Observability enabled in your Trustgrid organization (by request)\r\n- Grafana with a Prometheus datasource receiving Trustgrid metrics\r\n- Grafana with a Loki datasource receiving Trustgrid logs\r\n\r\n## Variables\r\n\r\n- **Node** the Trustgrid node to display data for\r\n- **Network** filter flow and reset metrics by virtual network\r\n- **Interface** filter network traffic panels by physical interface\r\n- **Resolution** time window for metric averaging (5m, 10m, 30m, 1h)\r\n\r\n## Getting Started\r\n\r\n1. [Configure OTEL exporter in the Trustgrid portal](https://docs.trustgrid.io/tutorials/observability-platforms/grafana-cloud/)\r\n2. Confirm metrics are arriving in Prometheus and logs in Loki.\r\n3. Import this dashboard and map the two datasource inputs when prompted.\r\n4. 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script to collect the data:\nhttps://github.com/brontide/aioedgeos\n\nRelease note:\n1.0.0 : Initial release","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-06-20T19:52:43.000Z","updatedAt":"2020-06-20T19:56:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12504"},{"rel":"revisions","href":"/dashboards/12504/revisions"},{"rel":"revision","href":"/dashboards/12504/revisions/1"},{"rel":"download","href":"/dashboards/12504/revisions/1/download"},{"rel":"org","href":"/orgs/ilevac"},{"rel":"images","href":"/dashboards/12504/images"},{"rel":"thumbnails","href":"/dashboards/12504/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10292,"status":1,"statusCode":"active","orgId":255313,"orgSlug":"neubsi","orgName":"neubsi","slug":"ubiquiti-mfi","downloads":330,"revisionId":14396,"revision":1,"name":"Ubiquiti mFi mPower","description":"Dashboard for Ubiquiti mPower mFi 6-Port and 3-Port Power Switches","readme":"As there is no longer a supported Software Controller for this devices, at least the data can be recorded and visualized this way.","collectorType":"Telegraf","collectorConfig":"Usage in Telegraf.conf:\n\n[[inputs.exec]]\n\n  commands = [\"/scripts/telegraf/mFi6.sh\"]\n\n  name_suffix = \"_mfi6\"\n\n  data_format = \"json\"\n\n\n[[inputs.exec]]\n\n  commands = [\"/scripts/telegraf/mFi3.sh\"]\n\n  name_suffix = \"_mfi3\"\n\n  data_format = \"json\"\n\n \nBash Scripts for Telegraf Collector, IPs and Passwords need to be changed to your specific devices, output is json.\n\nmFi3.sh:\n\n#!/bin/bash\n\ncurl -s -X POST -d \"username=ubnt&password=ubnt\" -b \"AIROS_SESSIONID=01234567890123456789012345678901\" \"http://192.168.1.60/login.cgi\"\n\ndata=$(curl -b \"AIROS_SESSIONID=01234567890123456789012345678901\" -s \"http://192.168.1.60/sensors\")\n\necho $data\n\nmFi6.sh:\n\n#!/bin/bash\n\ncurl -s -X POST -d \"username=ubnt&password=ubnt\" -b \"AIROS_SESSIONID=01234567890123456789012345678901\" \"http://192.168.1.59/login.cgi\"\n\ndata=$(curl -b \"AIROS_SESSIONID=01234567890123456789012345678901\" -s \"http://192.168.1.59/sensors\")\n\necho $data\n","collectorPluginList":"influxdb","datasource":null,"privacy":"public","createdAt":"2019-06-03T12:10:33.000Z","updatedAt":"2019-06-04T10:28:43.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10292"},{"rel":"revisions","href":"/dashboards/10292/revisions"},{"rel":"revision","href":"/dashboards/10292/revisions/1"},{"rel":"download","href":"/dashboards/10292/revisions/1/download"},{"rel":"org","href":"/orgs/neubsi"},{"rel":"images","href":"/dashboards/10292/images"},{"rel":"thumbnails","href":"/dashboards/10292/thumbnails"}]},{"id":4946,"status":1,"statusCode":"active","orgId":127598,"orgSlug":"zadziorrr","orgName":"zadziorrr","slug":"ubnt-bridge-dashboard","downloads":443,"revisionId":6572,"revision":1,"name":"UBNT Bridge Dashboard","description":"UBNT  Templated Dashboard","readme":"This dashboard is based on \"waterbywind\" dashboards.\r\nIt is used for UBNT bridges monitoring.\r\n\r\nAirMax, Nanostation, Nanobridge and so on","collectorType":"Telegraf","collectorConfig":"```\r\n##\r\n## SNMP Input Plugin\r\n##\r\n [[inputs.snmp]]\r\n   # List of agents to poll\r\n   agents = [ \"10.10.10.xx\",  \"10.10.10.xx\" ]\r\n   # Polling interval\r\n   interval = \"60s\"\r\n   # Timeout for each SNMP query.\r\n   timeout = \"10s\"\r\n   # Number of retries to attempt within timeout.\r\n   retries = 3\r\n   version = 1\r\n   # SNMP community string.\r\n   community = \"public\"\r\n   # The GETBULK max-repetitions parameter\r\n   max_repetitions = 10\r\n   # Measurement name\r\n   name = \"snmp.UAP\"\r\n   ##\r\n   ## System Details\r\n   ##\r\n   #  System name (hostname)\r\n   [[inputs.snmp.field]]\r\n     is_tag = true\r\n     name = \"sysName\"\r\n     oid = \"RFC1213-MIB::sysName.0\"\r\n   #  System vendor OID\r\n   [[inputs.snmp.field]]\r\n     name = \"sysObjectID\"\r\n     oid = \"RFC1213-MIB::sysObjectID.0\"\r\n   #  System description\r\n   [[inputs.snmp.field]]\r\n     name = \"sysDescr\"\r\n     oid = \"RFC1213-MIB::sysDescr.0\"\r\n   #  System contact\r\n   [[inputs.snmp.field]]\r\n     name = \"dot11DesiredSSID\"\r\n     oid = \"IEEE802dot11-MIB::dot11DesiredSSID.5\"\r\n   #  System location\r\n   [[inputs.snmp.field]]\r\n     name = \"sysLocation\"\r\n     oid = \"RFC1213-MIB::sysLocation.0\"\r\n   #  System uptime\r\n   [[inputs.snmp.field]]\r\n     name = \"sysUpTime\"\r\n     oid = \"RFC1213-MIB::sysUpTime.0\"\r\n   #  UAP model\r\n   [[inputs.snmp.field]]\r\n     name = \"dot11manufacturerProductName\"\r\n     oid = \"IEEE802dot11-MIB::dot11manufacturerProductName.5\"\r\n   #  UAP firmware version\r\n   [[inputs.snmp.field]]\r\n     name = \"dot11manufacturerProductVersion\"\r\n     oid = \"IEEE802dot11-MIB::dot11manufacturerProductVersion.5\"\r\n   [[inputs.snmp.field]]\r\n     name = \"dot11CurrentChannel\"\r\n     oid = \"IEEE802dot11-MIB::dot11CurrentChannel.5\"\r\n\r\n\r\n# Radio related\r\n   [[inputs.snmp.field]]\r\n     name = \"ubntWlStatTxRate\"\r\n     oid = \"UBNT-AirMAX-MIB::ubntWlStatTxRate.1\"\r\n   [[inputs.snmp.field]]\r\n     name = \"ubntWlStatRxRate\"\r\n     oid = \"UBNT-AirMAX-MIB::ubntWlStatRxRate.1\"\r\n\r\n   [[inputs.snmp.field]]\r\n     name = \"ubntRadioFreq\"\r\n     oid = \"UBNT-AirMAX-MIB::ubntRadioFreq.1\"\r\n\r\n   [[inputs.snmp.field]]\r\n     name = \"ubntRadioDistance\"\r\n     oid = \"UBNT-AirMAX-MIB::ubntRadioDistance.1\"\r\n\r\n   [[inputs.snmp.field]]\r\n     name = \"ubntWlStatSignal\"\r\n     oid = \"UBNT-AirMAX-MIB::ubntWlStatSignal.1\"\r\n\r\n   [[inputs.snmp.field]]\r\n     name = \"ubntWlStatCcq\"\r\n     oid = \"UBNT-AirMAX-MIB::ubntWlStatCcq.1\"\r\n\r\n   #  Total memory\r\n   [[inputs.snmp.field]]\r\n     name = \"memTotal\"\r\n     oid = \"FROGFOOT-RESOURCES-MIB::memTotal.0\"\r\n   #  Free memory\r\n   [[inputs.snmp.field]]\r\n     name = \"memFree\"\r\n     oid = \"FROGFOOT-RESOURCES-MIB::memFree.0\"\r\n   #  Buffer memory\r\n   [[inputs.snmp.field]]\r\n     name = \"memBuffer\"\r\n     oid = \"FROGFOOT-RESOURCES-MIB::memBuffer.0\"\r\n   #  Cache memory\r\n   [[inputs.snmp.field]]\r\n     name = \"memCache\"\r\n     oid = \"FROGFOOT-RESOURCES-MIB::memCache.0\"\r\n\r\n   #  Per-interface traffic, errors, drops\r\n   [[inputs.snmp.table]]\r\n     oid = \"IF-MIB::ifTable\"\r\n     [[inputs.snmp.table.field]]\r\n       is_tag = true\r\n       oid = \"IF-MIB::ifDescr\"\r\n","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-03-05T15:23:14.000Z","updatedAt":"2018-03-05T15:38:48.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4946"},{"rel":"revisions","href":"/dashboards/4946/revisions"},{"rel":"revision","href":"/dashboards/4946/revisions/1"},{"rel":"download","href":"/dashboards/4946/revisions/1/download"},{"rel":"org","href":"/orgs/zadziorrr"},{"rel":"images","href":"/dashboards/4946/images"},{"rel":"thumbnails","href":"/dashboards/4946/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":1756,"status":1,"statusCode":"active","orgId":45274,"orgSlug":"waterbywind","orgName":"waterbywind","slug":"edgerouter-dashboard","downloads":2800,"revisionId":2353,"revision":1,"name":"UBNT EdgeRouter Dashboard","description":"UBNT EdgeRouter Templated Dashboard","readme":"## Templated Grafana Dashboard for Ubiquiti Networks EdgeRouters\r\n\r\nDetailed dashboard for monitoring of Ubiquiti EdgeRouters via SNMP.\r\n\r\n\r\nThe Telegraf collector configuration is MIB-based so all of the required MIBs will need to be available for the collector to perform the needed translations.  Most SNMP distributions available on most platforms already provide these.  This configuration uses the \"new\" SNMP plugin for Telegraf, so SNMP monitoring must be enabled in the EdgeOS configurations.  The 'agents' list in the configuration is of the actual EdgeRouters themselves.\r\n\r\n\r\n### Important Dependency Note\r\nThe included Telegraf:SNMP plugin configuration depends upon a feature (flag 'index_as_tag') that is not part of the released Telegraf 1.2.\r\nSeveral collected object tables leverage a non-accessible index, such as to identify the IP Version for the statistics in each row.  The actual index is the sub-id for each table element, of which the Telegraf:SNMP plugin does not currently make available as a field or tag.  However this capability ([PR #2366](https://github.com/influxdata/telegraf/pull/2366) ) has been added/merged to the latest Telegraf source targeted for the next formal release. \r\n\r\nThere are three options for the interim until  the next formal release:\r\n 1.  Wait for a formal release of Telegraf with the needed support.  The noted PR is tagged for the Telegraf v1.3 milestone.  \r\n 2.  Use a current nightly build, if available.\r\n 3.  Build custom version of Telegraf using the github influxdata/telegraf master branch.  This is actually a straightforward and relatively easy process.\r\n\r\n\r\n### Dependencies\r\n1. [InfluxDB](https://docs.influxdata.com/influxdb/) as the time-series database\r\n2. [Telegraf](https://docs.influxdata.com/telegraf/) as the collector\r\n\r\n\r\n### Notes\r\nAs with any SNMP-based monitoring solution with EdgeRouters, IP forwarding statistics will not reflect packets that have been hardware-offloaded.\r\n\r\n\r\n## References\r\nThis dashboard and dependent configurations may also be found at [https://github.com/WaterByWind/grafana-dashboards](https://github.com/WaterByWind/grafana-dashboards)\r\n\r\n\r\n## License\r\nThis dashboard is distributed under [The MIT License (MIT)](https://github.com/WaterByWind/grafana-dashboards/blob/master/LICENSE)\r\n","collectorType":"Telegraf","collectorConfig":"#### Telegraf SNMP plugin configuration (add to `telegraf.conf`).\r\n\r\nNote:  You will need to change/set these in the configuration below:\r\n- SNMP community string for input plugin\r\n- URL to your InfluxDB instance for output plugin\r\n- InfluxDB username & password for output plugin\r\n\r\n```css\r\n##\r\n## SNMP Input Plugin\r\n##\r\n\r\n##\r\n##  -- 'index_as_tag' on tables requires PR #2366 for support, part of current master branch tagged for 1.3 release\r\n##  -- See https://github.com/influxdata/telegraf/issues/1948\r\n##\r\n\r\n##\r\n## EdgeRouter devices\r\n##\r\n [[inputs.snmp]]\r\n   # List of agents to poll\r\n   agents = [ \"edgerouter1\", \"edgerouter2\" ]\r\n   # Polling interval\r\n   interval = \"60s\"\r\n   # Timeout for each SNMP query.\r\n   timeout = \"5s\"\r\n   # Number of retries to attempt within timeout.\r\n   retries = 3\r\n   # SNMP version, values can be 1, 2, or 3\r\n   version = 2\r\n   # SNMP community string.\r\n   community = \"public\"\r\n   # The GETBULK max-repetitions parameter\r\n   max_repetitions = 50\r\n   # Measurement name\r\n   name = \"snmp.EdgeOS\"\r\n   ##\r\n   ## Exclusions\r\n   ##\r\n   # Don't want these columns from UCD-SNMP-MIB::laTable\r\n   fielddrop = [ \"laErrorFlag\", \"laErrMessage\" ]\r\n   # Don't want these rows from UCD-DISKIO-MIB::diskIOTable\r\n   [inputs.snmp.tagdrop]\r\n     diskIODevice = [ \"loop*\", \"ram*\" ]\r\n   ## \r\n   ## System details\r\n   ##\r\n   #  System name (hostname)\r\n   [[inputs.snmp.field]]\r\n     name = \"sysName\"\r\n     oid = \"SNMPv2-MIB::sysName.0\"\r\n     is_tag = true\r\n   #  System vendor OID\r\n   [[inputs.snmp.field]]\r\n     name = \"sysObjectID\"\r\n     oid = \"SNMPv2-MIB::sysObjectID.0\"\r\n   #  System description\r\n   [[inputs.snmp.field]]\r\n     name = \"sysDescr\"\r\n     oid = \"SNMPv2-MIB::sysDescr.0\"\r\n   #  System contact\r\n   [[inputs.snmp.field]]\r\n     name = \"sysContact\"\r\n     oid = \"SNMPv2-MIB::sysContact.0\"\r\n   #  System location\r\n   [[inputs.snmp.field]]\r\n     name = \"sysLocation\"\r\n     oid = \"SNMPv2-MIB::sysLocation.0\"\r\n   ##\r\n   ## Host/System Resources\r\n   ##\r\n   #  System uptime\r\n   [[inputs.snmp.field]]\r\n     name = \"sysUpTime\"\r\n     oid = \"HOST-RESOURCES-MIB::hrSystemUptime.0\"\r\n   #  Number of user sessions\r\n   [[inputs.snmp.field]]\r\n     name = \"hrSystemNumUsers\"\r\n     oid = \"HOST-RESOURCES-MIB::hrSystemNumUsers.0\"\r\n   #  Number of process contexts\r\n   [[inputs.snmp.field]]\r\n     name = \"hrSystemProcesses\"\r\n     oid = \"HOST-RESOURCES-MIB::hrSystemProcesses.0\"\r\n   #  Device Listing\r\n   [[inputs.snmp.table]]\r\n     oid = \"HOST-RESOURCES-MIB::hrDeviceTable\"\r\n     [[inputs.snmp.table.field]]\r\n       oid = \"HOST-RESOURCES-MIB::hrDeviceIndex\"\r\n       is_tag = true\r\n   ##\r\n   ## Context Switches & Interrupts\r\n   ##\r\n   #  Number of interrupts processed\r\n   [[inputs.snmp.field]]\r\n     name = \"ssRawInterrupts\"\r\n     oid = \"UCD-SNMP-MIB::ssRawInterrupts.0\"\r\n   #  Number of context switches\r\n   [[inputs.snmp.field]]\r\n     name = \"ssRawContexts\"\r\n     oid = \"UCD-SNMP-MIB::ssRawContexts.0\"\r\n   ##\r\n   ## Host performance metrics\r\n   ##\r\n   #  System Load Average \r\n   [[inputs.snmp.table]]\r\n     oid = \"UCD-SNMP-MIB::laTable\"\r\n     [[inputs.snmp.table.field]]\r\n       oid = \"UCD-SNMP-MIB::laNames\"\r\n       is_tag = true\r\n   ##\r\n   ## CPU inventory\r\n   ##\r\n   #  Processor listing\r\n   [[inputs.snmp.table]]\r\n     index_as_tag = true\r\n     oid = \"HOST-RESOURCES-MIB::hrProcessorTable\"\r\n   ##\r\n   ## CPU utilization\r\n   ##\r\n   #  Number of 'ticks' spent on user-level\r\n   [[inputs.snmp.field]]\r\n     name = \"ssCpuRawUser\"\r\n     oid = \"UCD-SNMP-MIB::ssCpuRawUser.0\"\r\n   #  Number of 'ticks' spent on reduced-priority\r\n   [[inputs.snmp.field]]\r\n     name = \"ssCpuRawNice\"\r\n     oid = \"UCD-SNMP-MIB::ssCpuRawNice.0\"\r\n   #  Number of 'ticks' spent on system-level\r\n   [[inputs.snmp.field]]\r\n     name = \"ssCpuRawSystem\"\r\n     oid = \"UCD-SNMP-MIB::ssCpuRawSystem.0\"\r\n   #  Number of 'ticks' spent idle\r\n   [[inputs.snmp.field]]\r\n     name = \"ssCpuRawIdle\"\r\n     oid = \"UCD-SNMP-MIB::ssCpuRawIdle.0\"\r\n   #  Number of 'ticks' spent waiting on I/O\r\n   [[inputs.snmp.field]]\r\n     name = \"ssCpuRawWait\"\r\n     oid = \"UCD-SNMP-MIB::ssCpuRawWait.0\"\r\n   #  Number of 'ticks' spent in kernel\r\n   [[inputs.snmp.field]]\r\n     name = \"ssCpuRawKernel\"\r\n     oid = \"UCD-SNMP-MIB::ssCpuRawKernel.0\"\r\n   #  Number of 'ticks' spent on hardware interrupts\r\n   [[inputs.snmp.field]]\r\n     name = \"ssCpuRawInterrupt\"\r\n     oid = \"UCD-SNMP-MIB::ssCpuRawInterrupt.0\"\r\n   #  Number of 'ticks' spent on software interrupts\r\n   [[inputs.snmp.field]]\r\n     name = \"ssCpuRawSoftIRQ\"\r\n     oid = \"UCD-SNMP-MIB::ssCpuRawSoftIRQ.0\"\r\n   ##\r\n   ## System Memory (physical/virtual)\r\n   ##\r\n   #  Size of phsyical memory (RAM)\r\n   [[inputs.snmp.field]]\r\n     name = \"hrMemorySize\"\r\n     oid = \"HOST-RESOURCES-MIB::hrMemorySize.0\"\r\n   #  Size of real/phys mem installed\r\n   [[inputs.snmp.field]]\r\n     name = \"memTotalReal\"\r\n     oid = \"UCD-SNMP-MIB::memTotalReal.0\"\r\n   #  Size of real/phys mem unused/avail\r\n   [[inputs.snmp.field]]\r\n     name = \"memAvailReal\"\r\n     oid = \"UCD-SNMP-MIB::memAvailReal.0\"\r\n   #  Total amount of mem unused/avail\r\n   [[inputs.snmp.field]]\r\n     name = \"memTotalFree\"\r\n     oid = \"UCD-SNMP-MIB::memTotalFree.0\"\r\n   #  Size of mem used as shared memory\r\n   [[inputs.snmp.field]]\r\n     name = \"memShared\"\r\n     oid = \"UCD-SNMP-MIB::memShared.0\"\r\n   #  Size of mem used for buffers\r\n   [[inputs.snmp.field]]\r\n     name = \"memBuffer\"\r\n     oid = \"UCD-SNMP-MIB::memBuffer.0\"\r\n   #  Size of mem used for cache\r\n   [[inputs.snmp.field]]\r\n     name = \"memCached\"\r\n     oid = \"UCD-SNMP-MIB::memCached.0\"\r\n   ##\r\n   ## Block (Disk) performance\r\n   ##\r\n   #  System-wide blocks written\r\n   [[inputs.snmp.field]]\r\n     name = \"ssIORawSent\"\r\n     oid = \"UCD-SNMP-MIB::ssIORawSent.0\"\r\n   #  Number of blocks read\r\n   [[inputs.snmp.field]]\r\n     name = \"ssIORawReceived\"\r\n     oid = \"UCD-SNMP-MIB::ssIORawReceived.0\"\r\n   #  Per-device (disk) performance\r\n   [[inputs.snmp.table]]\r\n     oid = \"UCD-DISKIO-MIB::diskIOTable\"\r\n     [[inputs.snmp.table.field]]\r\n       oid = \"UCD-DISKIO-MIB::diskIODevice\"\r\n       is_tag = true\r\n   ##\r\n   ## Disk/Partition/Filesystem inventory & usage\r\n   ##\r\n   #  Storage listing\r\n   [[inputs.snmp.table]]\r\n     oid = \"HOST-RESOURCES-MIB::hrStorageTable\"\r\n     [[inputs.snmp.table.field]]\r\n       oid = \"HOST-RESOURCES-MIB::hrStorageDescr\"\r\n       is_tag = true\r\n   ##\r\n   ## Interface metrics\r\n   ##\r\n   #  Per-interface traffic, errors, drops\r\n   [[inputs.snmp.table]]\r\n     oid = \"IF-MIB::ifTable\"\r\n     [[inputs.snmp.table.field]]\r\n       oid = \"IF-MIB::ifName\"\r\n       is_tag = true\r\n   #  Per-interface high-capacity (HC) counters\r\n   [[inputs.snmp.table]]\r\n     oid = \"IF-MIB::ifXTable\"\r\n     [[inputs.snmp.table.field]]\r\n       oid = \"IF-MIB::ifName\"\r\n       is_tag = true\r\n   ##\r\n   ## IP metrics\r\n   ##\r\n   #  System-wide IP metrics\r\n   [[inputs.snmp.table]]\r\n     index_as_tag = true\r\n     oid = \"IP-MIB::ipSystemStatsTable\"\r\n   ## \r\n   ## ICMP Metrics\r\n   ##\r\n   #  ICMP statistics\r\n   [[inputs.snmp.table]]\r\n     index_as_tag = true\r\n     oid = \"IP-MIB::icmpStatsTable\"\r\n   #  ICMP per-type statistics\r\n   [[inputs.snmp.table]]\r\n     index_as_tag = true\r\n     oid = \"IP-MIB::icmpMsgStatsTable\"\r\n   ##\r\n   ## UDP statistics\r\n   ##\r\n   #  Datagrams delivered to app\r\n   [[inputs.snmp.field]]\r\n     name = \"udpInDatagrams\"\r\n     oid = \"UDP-MIB::udpInDatagrams.0\"\r\n   #  Datagrams received with no app\r\n   [[inputs.snmp.field]]\r\n     name = \"udpNoPorts\"\r\n     oid = \"UDP-MIB::udpNoPorts.0\"\r\n   #  Datagrams received with error\r\n   [[inputs.snmp.field]]\r\n     name = \"udpInErrors\"\r\n     oid = \"UDP-MIB::udpInErrors.0\"\r\n   #  Datagrams sent\r\n   [[inputs.snmp.field]]\r\n     name = \"udpOutDatagrams\"\r\n     oid = \"UDP-MIB::udpOutDatagrams.0\"\r\n   ##\r\n   ## TCP statistics\r\n   ##\r\n   #  Number of CLOSED -> SYN-SENT transitions\r\n   [[inputs.snmp.field]]\r\n     name = \"tcpActiveOpens\"\r\n     oid = \"TCP-MIB::tcpActiveOpens.0\"\r\n   #  Number of SYN-RCVD -> LISTEN transitions\r\n   [[inputs.snmp.field]]\r\n     name = \"tcpPassiveOpens\"\r\n     oid = \"TCP-MIB::tcpPassiveOpens.0\"\r\n   #  Number of SYN-SENT/RCVD -> CLOSED transitions\r\n   [[inputs.snmp.field]]\r\n     name = \"tcpAttemptFails\"\r\n     oid = \"TCP-MIB::tcpAttemptFails.0\"\r\n   #  Number of ESTABLISHED/CLOSE-WAIT -> CLOSED transitions\r\n   [[inputs.snmp.field]]\r\n     name = \"tcpEstabResets\"\r\n     oid = \"TCP-MIB::tcpEstabResets.0\"\r\n   #  Number of ESTABLISHED or CLOSE-WAIT\r\n   [[inputs.snmp.field]]\r\n     name = \"tcpCurrEstab\"\r\n     oid = \"TCP-MIB::tcpCurrEstab.0\"\r\n   #  Number of segments received\r\n   [[inputs.snmp.field]]\r\n     name = \"tcpInSegs\"\r\n     oid = \"TCP-MIB::tcpInSegs.0\"\r\n   #  Number of segments sent\r\n   [[inputs.snmp.field]]\r\n     name = \"tcpOutSegs\"\r\n     oid = \"TCP-MIB::tcpOutSegs.0\"\r\n   #  Number of segments retransmitted\r\n   [[inputs.snmp.field]]\r\n     name = \"tcpRetransSegs\"\r\n     oid = \"TCP-MIB::tcpRetransSegs.0\"\r\n   #  Number of segments received with error\r\n   [[inputs.snmp.field]]\r\n     name = \"tcpInErrs\"\r\n     oid = \"TCP-MIB::tcpInErrs.0\"\r\n   #  Number of segments sent w/RST\r\n   [[inputs.snmp.field]]\r\n     name = \"tcpOutRsts\"\r\n     oid = \"TCP-MIB::tcpOutRsts.0\"\r\n   ##\r\n   ## IP routing statistics\r\n   ##\r\n   #  Number of valid routing entries\r\n   [[inputs.snmp.field]]\r\n     name = \"inetCidrRouteNumber\"\r\n     oid = \"IP-FORWARD-MIB::inetCidrRouteNumber.0\"\r\n   #  Number of valid entries discarded\r\n   [[inputs.snmp.field]]\r\n     name = \"inetCidrRouteDiscards\"\r\n     oid = \"IP-FORWARD-MIB::inetCidrRouteDiscards.0\"\r\n   #  Number of valid forwarding entries\r\n   [[inputs.snmp.field]]\r\n     name = \"ipForwardNumber\"\r\n     oid = \"IP-FORWARD-MIB::ipForwardNumber.0\"\r\n   ##\r\n   ## IP routing statistics\r\n   ##\r\n   # Number of valid routes discarded\r\n   [[inputs.snmp.field]]\r\n     name = \"ipRoutingDiscards\"\r\n     oid = \"RFC1213-MIB::ipRoutingDiscards.0\"\r\n   ##\r\n   ## SNMP metrics\r\n   ##\r\n   #  Number of SNMP messages received\r\n   [[inputs.snmp.field]]\r\n     name = \"snmpInPkts\"\r\n     oid = \"SNMPv2-MIB::snmpInPkts.0\"\r\n   #  Number of SNMP Get-Request received\r\n   [[inputs.snmp.field]]\r\n     name = \"snmpInGetRequests\"\r\n     oid = \"SNMPv2-MIB::snmpInGetRequests.0\"\r\n   #  Number of SNMP Get-Next received\r\n   [[inputs.snmp.field]]\r\n     name = \"snmpInGetNexts\"\r\n     oid = \"SNMPv2-MIB::snmpInGetNexts.0\"\r\n   #  Number of SNMP objects requested\r\n   [[inputs.snmp.field]]\r\n     name = \"snmpInTotalReqVars\"\r\n     oid = \"SNMPv2-MIB::snmpInTotalReqVars.0\"\r\n   #  Number of SNMP Get-Response received\r\n   [[inputs.snmp.field]]\r\n     name = \"snmpInGetResponses\"\r\n     oid = \"SNMPv2-MIB::snmpInGetResponses.0\"\r\n   #  Number of SNMP messages sent\r\n   [[inputs.snmp.field]]\r\n     name = \"snmpOutPkts\"\r\n     oid = \"SNMPv2-MIB::snmpOutPkts.0\"\r\n   #  Number of SNMP Get-Request sent\r\n   [[inputs.snmp.field]]\r\n     name = \"snmpOutGetRequests\"\r\n     oid = \"SNMPv2-MIB::snmpOutGetRequests.0\"\r\n   #  Number of SNMP Get-Next sent\r\n   [[inputs.snmp.field]]\r\n     name = \"snmpOutGetNexts\"\r\n     oid = \"SNMPv2-MIB::snmpOutGetNexts.0\"\r\n   #  Number of SNMP Get-Response sent\r\n   [[inputs.snmp.field]]\r\n     name = \"snmpOutGetResponses\"\r\n     oid = \"SNMPv2-MIB::snmpOutGetResponses.0\"\r\n```\r\nIf an InfluxDB output plugin is not already configured then the following will be needed as well\r\n```css\r\n##\r\n## InfluxDB Output Plugin\r\n##\r\n[[outputs.influxdb]]\r\n  urls = [\"http://localhost:8086\"] # required\r\n  database = \"telegraf\" # required\r\n  retention_policy = \"\"\r\n  write_consistency = \"any\"\r\n  timeout = \"5s\"\r\n  username = \"username\"\r\n  password = \"password\"\r\n  user_agent = \"telegraf\"\r\n#\r\n```","collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2017-03-25T21:45:31.000Z","updatedAt":"2017-03-25T22:58:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/1756"},{"rel":"revisions","href":"/dashboards/1756/revisions"},{"rel":"revision","href":"/dashboards/1756/revisions/1"},{"rel":"download","href":"/dashboards/1756/revisions/1/download"},{"rel":"org","href":"/orgs/waterbywind"},{"rel":"images","href":"/dashboards/1756/images"},{"rel":"thumbnails","href":"/dashboards/1756/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":3475,"status":1,"statusCode":"active","orgId":91381,"orgSlug":"randomnull","orgName":"John Doe","slug":"ubnt-edgerouter-dashboard","downloads":477,"revisionId":4798,"revision":1,"name":"UBNT EdgeRouter Dashboard","description":"UBNT EdgeRouter Templated Dashboard","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"SNMP plugin","datasource":"InfluxDB","privacy":"public","createdAt":"2017-10-13T21:27:06.000Z","updatedAt":"2017-10-13T21:31:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3475"},{"rel":"revisions","href":"/dashboards/3475/revisions"},{"rel":"revision","href":"/dashboards/3475/revisions/1"},{"rel":"download","href":"/dashboards/3475/revisions/1/download"},{"rel":"org","href":"/orgs/randomnull"},{"rel":"images","href":"/dashboards/3475/images"},{"rel":"thumbnails","href":"/dashboards/3475/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11661,"status":1,"statusCode":"active","orgId":341962,"orgSlug":"adrianokahn","orgName":"adrianokahn","slug":"ubnt-edgerouter-dashboard","downloads":307,"revisionId":16458,"revision":1,"name":"UBNT EdgeRouter Dashboard","description":"UBNT EdgeRouter Templated Dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-01-28T19:37:53.000Z","updatedAt":"2020-01-28T19:38:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11661"},{"rel":"revisions","href":"/dashboards/11661/revisions"},{"rel":"revision","href":"/dashboards/11661/revisions/1"},{"rel":"download","href":"/dashboards/11661/revisions/1/download"},{"rel":"org","href":"/orgs/adrianokahn"},{"rel":"images","href":"/dashboards/11661/images"},{"rel":"thumbnails","href":"/dashboards/11661/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14769,"status":1,"statusCode":"active","orgId":524899,"orgSlug":"eskimolander","orgName":"eskimolander","slug":"ubnt-edgerouter-dashboard","downloads":298,"revisionId":21966,"revision":1,"name":"UBNT EdgeRouter Dashboard","description":"UBNT EdgeRouter Templated Dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-07-25T15:12:57.000Z","updatedAt":"2021-07-25T16:34:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14769"},{"rel":"revisions","href":"/dashboards/14769/revisions"},{"rel":"revision","href":"/dashboards/14769/revisions/1"},{"rel":"download","href":"/dashboards/14769/revisions/1/download"},{"rel":"org","href":"/orgs/eskimolander"},{"rel":"images","href":"/dashboards/14769/images"},{"rel":"thumbnails","href":"/dashboards/14769/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22443,"status":1,"statusCode":"active","orgId":1236170,"orgSlug":"titanlogic","orgName":"titanlogic","slug":"ubnt-edgerouter-dashboard","downloads":245,"revisionId":35259,"revision":1,"name":"UBNT EdgeRouter Dashboard","description":"UBNT EdgeRouter Templated Dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-12-01T12:12:27.000Z","updatedAt":"2024-12-01T12:12:40.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22443"},{"rel":"revisions","href":"/dashboards/22443/revisions"},{"rel":"revision","href":"/dashboards/22443/revisions/1"},{"rel":"download","href":"/dashboards/22443/revisions/1/download"},{"rel":"org","href":"/orgs/titanlogic"},{"rel":"images","href":"/dashboards/22443/images"},{"rel":"thumbnails","href":"/dashboards/22443/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9309,"status":1,"statusCode":"active","orgId":15233,"orgSlug":"trevor","orgName":"Trevor Dodds","slug":"ucp-dashboard","downloads":520,"revisionId":12954,"revision":2,"name":"UCP Dashboard","description":"","readme":"Docker EE 3.1 UCP Metrics\n\nExpose the ucp-metrics prometheus port by adding the below to the ucp-metrics service.\n```\nkubectl edit svc -n kube-system ucp-metrics\n```\n```  \n  - name: prometheus\n      port: 9090\n      protocol: TCP\n      targetPort: 9090\n```\nAdd the Prometheus datasource to Grafana and import this dashboard.\n```\nhttp://ucp-metrics.kube-system.svc:9090\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-12-01T22:46:14.000Z","updatedAt":"2018-12-05T14:39:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9309"},{"rel":"revisions","href":"/dashboards/9309/revisions"},{"rel":"revision","href":"/dashboards/9309/revisions/2"},{"rel":"download","href":"/dashboards/9309/revisions/2/download"},{"rel":"org","href":"/orgs/trevor"},{"rel":"images","href":"/dashboards/9309/images"},{"rel":"thumbnails","href":"/dashboards/9309/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15291,"status":1,"statusCode":"active","orgId":553606,"orgSlug":"jiriteach","orgName":"jiriteach","slug":"home-updated","downloads":663,"revisionId":22962,"revision":1,"name":"UDM Pro - Overview Dashboard","description":"UDM (Ubiquiti Dream Machine) Pro - Overview Dashboard","readme":"UDM (Ubiquiti Dream Machine) Pro - Overview Dashboard\n\nIncludes Information - \n\n-- Routers\n\n-- Switches \n\n-- AP's\n\n-- WAN1/WAN2\n\n-- LAN\n\nCollector - UN Poller\n\n#ubiquiti #unifi #udm #unpoller","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-11-22T09:48:01.000Z","updatedAt":"2021-11-22T10:02:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15291"},{"rel":"revisions","href":"/dashboards/15291/revisions"},{"rel":"revision","href":"/dashboards/15291/revisions/1"},{"rel":"download","href":"/dashboards/15291/revisions/1/download"},{"rel":"org","href":"/orgs/jiriteach"},{"rel":"images","href":"/dashboards/15291/images"},{"rel":"thumbnails","href":"/dashboards/15291/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17042,"status":1,"statusCode":"active","orgId":369613,"orgSlug":"mrjware","orgName":"mrjware","slug":"udm-pro-overview-dashboard","downloads":367,"revisionId":26155,"revision":1,"name":"UDM Pro - Overview Dashboard","description":"UDM (Ubiquiti Dream Machine) Pro - Overview Dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-09-23T17:04:55.000Z","updatedAt":"2022-09-23T17:05:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17042"},{"rel":"revisions","href":"/dashboards/17042/revisions"},{"rel":"revision","href":"/dashboards/17042/revisions/1"},{"rel":"download","href":"/dashboards/17042/revisions/1/download"},{"rel":"org","href":"/orgs/mrjware"},{"rel":"images","href":"/dashboards/17042/images"},{"rel":"thumbnails","href":"/dashboards/17042/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":16164,"status":1,"statusCode":"active","orgId":637043,"orgSlug":"eliastik","orgName":"eliastik","slug":"ufw-firewall","downloads":566,"revisionId":24529,"revision":3,"name":"UFW firewall","description":"Dashboard to monitor UFW firewall, using Telegraf and InfluxDB","readme":"Dashboard to monitor UFW firewall, using Telegraf and InfluxDB\r\n\r\nTutorial (in French): [https://www.eliastiksofts.com/blog/2022/04/monitorer-son-serveur-avec-grafana-monitorer-le-pare-feu-ufw](https://www.eliastiksofts.com/blog/2022/04/monitorer-son-serveur-avec-grafana-monitorer-le-pare-feu-ufw)","collectorType":"Telegraf","collectorConfig":"Basic Telegraf config:\r\n````\r\n[[inputs.tail]]\r\n    files = [\"/var/log/ufw.log\"]\r\n    from_beginning = true\r\n    name_override = \"ufw_log\"\r\n    watch_method = \"poll\"\r\n    grok_patterns = [\"%{CUSTOM_LOG_FORMAT}\"]\r\n    grok_custom_patterns = '''\r\n         CUSTOM_LOG_FORMAT %{SYSLOGTIMESTAMP:ufw_timestamp:ts-syslog} %{SYSLOGHOST:ufw_hostname} %{DATA:ufw_program}: [%{DATA}] [UFW %{WORD:ufw_action}] IN=%{DATA:ufw_interface} OUT= (MAC|PHYSIN)=%{DATA:ufw_mac} SRC=%{IP:ufw_src_ip} DST=%{IP:ufw_dest_ip}( LEN=%{NUMBER:ufw_packet_len})? %{GREEDYDATA:ufw_tcp_opts} PROTO=%{WORD:ufw_protocol}( SPT=%{NUMBER:ufw_source_port})?( DPT=%{NUMBER:ufw_dest_port})?%{GREEDYDATA:ufw_tcp_opts}\r\n    '''\r\n    data_format = \"grok\"\r\n    grok_custom_pattern_files = []\r\n````","collectorPluginList":"tail","datasource":"InfluxDB","privacy":"public","createdAt":"2022-04-25T17:04:12.000Z","updatedAt":"2022-04-25T17:19:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16164"},{"rel":"revisions","href":"/dashboards/16164/revisions"},{"rel":"revision","href":"/dashboards/16164/revisions/3"},{"rel":"download","href":"/dashboards/16164/revisions/3/download"},{"rel":"org","href":"/orgs/eliastik"},{"rel":"images","href":"/dashboards/16164/images"},{"rel":"thumbnails","href":"/dashboards/16164/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24835,"status":1,"statusCode":"active","orgId":1663356,"orgSlug":"vjt","orgName":"vjt","slug":"ultimate-isp-5g-lte-monitor-quectel-rm520-gl","downloads":26,"revisionId":39829,"revision":1,"name":"Ultimate ISP & 5G/LTE Monitor (Quectel RM520N-GL)","description":"A comprehensive dashboard combining enterprise-grade ISP latency monitoring with deep-level cellular telemetry. Designed specifically for OpenWrt gateways using Quectel RM520-GL modems (and compatible AT-command based 5G modems).\r\n\r\n🔥 Key Features:\r\n\r\nAdvanced Radio Telemetry: Real-time visualization of 5G (NR) and 4G (LTE) signal health. Tracks RSRP, RSRQ, and SINR with industry-standard RF color thresholds.\r\n\r\nCell & Band History: \"Flight recorder\" view for your connection. Visualizes Carrier Aggregation (CA) states, connected Bands, PCIs, and eNodeB IDs over time using State Timelines.\r\n\r\nNetwork Health: Multi-target ping monitoring (DNS, Gateway, WAN) with jitter and packet loss analysis to correlate signal drops with lag spikes.\r\n\r\nCarrier Aggregation Table: Live view of Primary (PCC) and Secondary (SCC) component carriers including bandwidth and frequency.\r\n\r\n⚙️ Requirements:\r\n\r\nPrometheus Node Exporter with Lua plugin enabled.\r\n\r\nQuectel 5G Tools Exporter: https://github.com/vjt/quectel-5g-tools\r\n\r\nCredits: Forked and supercharged from ISP Monitoring (ID 14206).","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"VictoriaMetrics","privacy":"public","createdAt":"2026-02-08T22:57:30.000Z","updatedAt":"2026-02-08T23:02:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24835"},{"rel":"revisions","href":"/dashboards/24835/revisions"},{"rel":"revision","href":"/dashboards/24835/revisions/1"},{"rel":"download","href":"/dashboards/24835/revisions/1/download"},{"rel":"org","href":"/orgs/vjt"},{"rel":"images","href":"/dashboards/24835/images"},{"rel":"thumbnails","href":"/dashboards/24835/thumbnails"}],"datasourceSlugs":["victoriametrics-metrics-datasource"]},{"id":18398,"status":1,"statusCode":"active","orgId":473552,"orgSlug":"planeboston","orgName":"kx1t","slug":"ultrafeeder-stats","downloads":582,"revisionId":28913,"revision":5,"name":"Ultrafeeder Stats","description":"ADSB/UAT statistics from Ultrafeeder","readme":"This dashboard is to be used with the SDR-Enthusiasts [Ultrafeeder](https://github.com/sdr-enthusiasts/docker-adsb-ultrafeeder). It uses Prometheus as data source.\r\n\r\nSee here for setup instructions:\r\n[https://github.com/sdr-enthusiasts/docker-adsb-ultrafeeder/README-grafana.md](https://github.com/sdr-enthusiasts/docker-adsb-ultrafeeder/README-grafana.md)","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"Other","datasource":"Prometheus","privacy":"public","createdAt":"2023-03-30T18:24:16.000Z","updatedAt":"2023-05-30T19:25:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18398"},{"rel":"revisions","href":"/dashboards/18398/revisions"},{"rel":"revision","href":"/dashboards/18398/revisions/5"},{"rel":"download","href":"/dashboards/18398/revisions/5/download"},{"rel":"org","href":"/orgs/planeboston"},{"rel":"images","href":"/dashboards/18398/images"},{"rel":"thumbnails","href":"/dashboards/18398/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18755,"status":1,"statusCode":"active","orgId":856565,"orgSlug":"shridharkalagi","orgName":"jspn-vvs","slug":"um-vvs","downloads":261,"revisionId":28775,"revision":1,"name":"UM VVS","description":"UM VVS Dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2023-05-16T10:14:57.000Z","updatedAt":"2023-05-16T10:15:32.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18755"},{"rel":"revisions","href":"/dashboards/18755/revisions"},{"rel":"revision","href":"/dashboards/18755/revisions/1"},{"rel":"download","href":"/dashboards/18755/revisions/1/download"},{"rel":"org","href":"/orgs/shridharkalagi"},{"rel":"images","href":"/dashboards/18755/images"},{"rel":"thumbnails","href":"/dashboards/18755/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":24431,"status":1,"statusCode":"active","orgId":871283,"orgSlug":"pavelvoronov1337","orgName":"pavelvoronov1337","slug":"umami-business-intelligence","downloads":160,"revisionId":39082,"revision":1,"name":"Umami Business Intelligence","description":"A PostgreSQL-based analytics dashboard for Umami. Includes hourly visit heatmap, 7-day moving averages for referrers and events, qualified-session filtering, and raw KPI summaries for arbitrary time ranges.","readme":"# Umami Business Intelligence Dashboard\r\n\r\nThis dashboard extends Umami Analytics with additional trend and behavior insights using data directly from the Umami PostgreSQL database. It focuses on temporal patterns, source quality, and event-level performance.\r\n\r\n## Features\r\n\r\n### Hourly Heatmap\r\nShows visit distribution by hour of the day to reveal daily traffic patterns and peak activity times.\r\n\r\n### 7-Day Moving Averages\r\nProvides smoother trend visibility for:\r\n- Referrer groups (search, llm, other)\r\n- Custom event metrics\r\n- Qualified sessions (sessions with at least two pageviews)\r\n\r\n### Qualified Sessions\r\nA derived metric intended to reduce bot noise. Only counts sessions with a minimum of two pageviews.\r\n\r\n### Raw Metrics Summary\r\nDisplays total counts for selected events and metrics over any chosen time range.\r\n\r\n### Dashboard Variables\r\n- website: Umami website ID  \r\n- timezone: used for timestamp conversion  \r\n- events: list of custom Umami events available for plotting  \r\n\r\n## Requirements\r\n- Umami Analytics with PostgreSQL\r\n- Grafana 9 or newer\r\n- Network access between Grafana and the Umami PostgreSQL instance\r\n\r\n## Setup\r\n1. Add your Umami PostgreSQL database as a data source in Grafana.\r\n2. Set the correct database, user, and password.\r\n3. Import the dashboard JSON file.\r\n4. Select the PostgreSQL data source when prompted.\r\n\r\n## Notes\r\n- All queries operate directly on Umami’s `event`, `session`, and `website` tables.\r\n- Referrer groups are computed in SQL using basic pattern matching.\r\n- The dashboard assumes standard Umami schema without modifications.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2025-11-19T17:45:34.000Z","updatedAt":"2025-11-19T18:27:11.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24431"},{"rel":"revisions","href":"/dashboards/24431/revisions"},{"rel":"revision","href":"/dashboards/24431/revisions/1"},{"rel":"download","href":"/dashboards/24431/revisions/1/download"},{"rel":"org","href":"/orgs/pavelvoronov1337"},{"rel":"images","href":"/dashboards/24431/images"},{"rel":"thumbnails","href":"/dashboards/24431/thumbnails"}],"datasourceSlugs":["grafana-postgresql-datasource"]},{"id":16304,"status":1,"statusCode":"active","orgId":452135,"orgSlug":"johntest1","orgName":"john test 1","slug":"umbrel-metrics-with-grafana-cloud","downloads":452,"revisionId":24809,"revision":1,"name":"Umbrel Server Metrics","description":"Monitor your Umbrel server's temperature, storage, and memory metrics using Grafana.","readme":"Use this dashboard to monitor the temperature, storage, and memory metrics from your Umbrel server so that the software running on your server, such as a Bitcoin node, stay reliable and always-online. 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The information is being saved it into InfluxDB output directly into the InfluxDB database using curl, then in Grafana: a Dashboard is created to present all the information.\n\nWe use the Unifi Protect API to reduce the workload and increase the speed of script execution. \n\n----------\n\n### Getting started\nYou can follow the steps on the next Blog Post - To be created\n\nOr try with this simple steps:\n* Download the unifi-protect.sh file and change the parameters under Configuration, like username/password, etc. with your real data\n* Make the script executable with the command chmod +x unifi-protect.sh\n* Run the unifi-protect.sh and check on Chronograf/Grafana that you can retrieve the information properly\n* Schedule the script execution, for example every 1 minute using crontab\n* Download the Grafana Dashboard for Unifi Protect JSON file and import it into your Grafana\n* Enjoy :)\n\n----------\n\n### Additional Information\n* Nothing to add as of today\n\n### Known issues \nWould love to see some known issues and keep opening and closing as soon as I have feedback from you guys. Fork this project, use it and please provide feedback.\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-02-05T00:24:08.000Z","updatedAt":"2021-02-05T00:25:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/13835"},{"rel":"revisions","href":"/dashboards/13835/revisions"},{"rel":"revision","href":"/dashboards/13835/revisions/1"},{"rel":"download","href":"/dashboards/13835/revisions/1/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/13835/images"},{"rel":"thumbnails","href":"/dashboards/13835/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":1486,"status":1,"statusCode":"active","orgId":45274,"orgSlug":"waterbywind","orgName":"waterbywind","slug":"unifi-ap-dashboard","downloads":6556,"revisionId":24198,"revision":6,"name":"UniFi AP Dashboard","description":"Ubiquiti Networks UniFi AP Dashboard","readme":"## Overview\r\nDetailed dashboard for monitoring of Ubiquiti UniFi Access Points.\r\n\r\n___Please Note___ that the collector configuration has been updated to support the current dashboard.  If you are updating a previous revision of the dashboard please check the collector configuration as well to ensure it is current.  The configuration is now dated for comparison.\r\n\r\nThis dashboard works with Gen2 and later APs.  Gen1 APs *do* support monitoring via SNMP, however they provide very little instrumentation due to the lack of support for the IF-MIB and UBNT-UniFi-MIB  mibs. \r\n\r\nThe Telegraf collector configuration is MIB-based so all of the required MIBs will need to be available for the collector to perform the needed translations.  Most SNMP distributions available on most platforms already provide these with one exception (see below).  This configuration uses the \"new\" SNMP plugin for Telegraf, so SNMP monitoring must be enabled in the UniFi controller.  The 'agents' list in the configuration is of the actual APs themselves, however, and not the controller.\r\n\r\nThis dashboard does display the SNMP contact and location detail, but there is currently no method to configure these via the UniFi controller.  Instead, these may be set (optionally, as desired) using the method described in [UniFi - How to make persistent changes to UAP(s) system.cfg](https://help.ubnt.com/hc/en-us/articles/205223330-UniFi-How-to-make-persistent-changes-to-UAP-s-system-cfg).  Two simple additions to the `config.properties` file apply this to all APs in a given site (adjust the item number and values as appropriate):\r\n```\r\nconfig.system_cfg.1=snmp.contact=admin@mydomain.com\r\nconfig.system_cfg.2=snmp.location=somewhere\r\n```\r\n\r\n## Notes\r\nThe Unifi MIB locations may be found in the [UniFi Updates Blog](https://community.ubnt.com/t5/UniFi-Updates-Blog/bg-p/Blog_UniFi) announcements for UniFi releases. These should be downloaded and placed in the default SNMP MIBs location on the server where the Telegraf instance is running.\r\n\r\n\r\n## Change history\r\n6 February 2020:  Removed CCQ as it is no longer supported for UniFi APs.   It never actually worked anyway;  Added radio band to to legends as appropriate;  Refactored channel and power level;  Cleaned up many queries.  Note this update requires an updated telegraf inputs configuration as well.\r\n\r\n11 April 2017 (v4):  Added selector for radio;  Updated channel/power panels to properly reflect both radios when multiple SSIDs are configured.  This change requires an updated Telegraf collector configuration dated no earlier than this same date.\r\n\r\n## References\r\nThis dashboard and dependent configurations may also be found at [https://github.com/WaterByWind/grafana-dashboards](https://github.com/WaterByWind/grafana-dashboards)\r\n\r\n\r\n## License\r\nThis dashboard is distributed under [The MIT License (MIT)](https://github.com/WaterByWind/grafana-dashboards/blob/master/LICENSE)\r\n","collectorType":"Telegraf","collectorConfig":"#### Telegraf SNMP plugin configuration (Place in `telegraf.d` or add to `telegraf.conf`).\r\n\r\nNote:  You will need to change/set these in the configuration below:\r\n- SNMP community string for input plugin\r\n- URL to your InfluxDB instance for output plugin\r\n- InfluxDB username & password for output plugin\r\n\r\n```css\r\n# Telegraf Configuration (Inputs: SNMP: UAP)\r\n#\r\n###############################################################################\r\n#                            INPUT PLUGINS                                    #\r\n###############################################################################\r\n##\r\n## Retrieves details via SNMP from UniFi APs (Gen 2 and later)\r\n##\r\n## Extra MIBs required:\r\n## - http://dl.ubnt-ut.com/snmp/UBNT-MIB\r\n## - http://dl.ubnt-ut.com/snmp/UBNT-UniFi-MIB\r\n#\r\n[[inputs.snmp]]\r\n  # List of APs to poll\r\n  agents = [ \"uap1\", \"uap2\" ]\r\n  # Polling interval\r\n  interval = \"60s\"\r\n  # Timeout for each SNMP query.\r\n  timeout = \"10s\"\r\n  # Number of retries to attempt within timeout.\r\n  retries = 3\r\n  # SNMP version\r\n  version = 2\r\n  # SNMP community string.\r\n  community = \"public\"\r\n  # Measurement name\r\n  name = \"snmp.UAP\"\r\n  ##\r\n  ## System Details\r\n  ##\r\n  #  System name (hostname)\r\n  [[inputs.snmp.field]]\r\n    is_tag = true\r\n    name = \"sysName\"\r\n    oid = \"RFC1213-MIB::sysName.0\"\r\n  #  System vendor OID\r\n  [[inputs.snmp.field]]\r\n    name = \"sysObjectID\"\r\n    oid = \"RFC1213-MIB::sysObjectID.0\"\r\n  #  System description\r\n  [[inputs.snmp.field]]\r\n    name = \"sysDescr\"\r\n    oid = \"RFC1213-MIB::sysDescr.0\"\r\n  #  System contact\r\n  [[inputs.snmp.field]]\r\n    name = \"sysContact\"\r\n    oid = \"RFC1213-MIB::sysContact.0\"\r\n  #  System location\r\n  [[inputs.snmp.field]]\r\n    name = \"sysLocation\"\r\n    oid = \"RFC1213-MIB::sysLocation.0\"\r\n  #  System uptime\r\n  [[inputs.snmp.field]]\r\n    name = \"sysUpTime\"\r\n    oid = \"RFC1213-MIB::sysUpTime.0\"\r\n  #  UAP model\r\n  [[inputs.snmp.field]]\r\n    name = \"unifiApSystemModel\"\r\n    oid = \"UBNT-UniFi-MIB::unifiApSystemModel.0\"\r\n  #  UAP firmware version\r\n  [[inputs.snmp.field]]\r\n    name = \"unifiApSystemVersion\"\r\n    oid = \"UBNT-UniFi-MIB::unifiApSystemVersion.0\"\r\n  #  Per-interface traffic, errors, drops\r\n  [[inputs.snmp.table]]\r\n    oid = \"IF-MIB::ifTable\"\r\n    [[inputs.snmp.table.field]]\r\n      is_tag = true\r\n      oid = \"IF-MIB::ifDescr\"\r\n  ##\r\n  ## Interface Details & Metrics\r\n  ##\r\n  #  Wireless interfaces\r\n  [[inputs.snmp.table]]\r\n    oid = \"UBNT-UniFi-MIB::unifiRadioTable\"\r\n    [[inputs.snmp.table.field]]\r\n      is_tag = true\r\n      oid = \"UBNT-UniFi-MIB::unifiRadioName\"\r\n    [[inputs.snmp.table.field]]\r\n      is_tag = true\r\n      oid = \"UBNT-UniFi-MIB::unifiRadioRadio\"\r\n  #  BSS instances\r\n  [[inputs.snmp.table]]\r\n    oid = \"UBNT-UniFi-MIB::unifiVapTable\"\r\n    [[inputs.snmp.table.field]]\r\n      is_tag = true\r\n      oid = \"UBNT-UniFi-MIB::unifiVapName\"\r\n    [[inputs.snmp.table.field]]\r\n      is_tag = true\r\n      oid = \"UBNT-UniFi-MIB::unifiVapRadio\"\r\n    [[inputs.snmp.table.field]]\r\n      is_tag = true\r\n      oid = \"UBNT-UniFi-MIB::unifiVapEssId\"\r\n  #  Ethernet interfaces\r\n  [[inputs.snmp.table]]\r\n    oid = \"UBNT-UniFi-MIB::unifiIfTable\"\r\n    [[inputs.snmp.table.field]]\r\n      is_tag = true\r\n      oid = \"UBNT-UniFi-MIB::unifiIfName\"\r\n  ##\r\n  ## SNMP metrics\r\n  ##\r\n  #  Number of SNMP messages received\r\n  [[inputs.snmp.field]]\r\n    name = \"snmpInPkts\"\r\n    oid = \"RFC1213-MIB::snmpInPkts.0\"\r\n  #  Number of SNMP Get-Request received\r\n  [[inputs.snmp.field]]\r\n    name = \"snmpInGetRequests\"\r\n    oid = \"RFC1213-MIB::snmpInGetRequests.0\"\r\n  #  Number of SNMP Get-Next received\r\n  [[inputs.snmp.field]]\r\n    name = \"snmpInGetNexts\"\r\n    oid = \"RFC1213-MIB::snmpInGetNexts.0\"\r\n  #  Number of SNMP objects requested\r\n  [[inputs.snmp.field]]\r\n    name = \"snmpInTotalReqVars\"\r\n    oid = \"RFC1213-MIB::snmpInTotalReqVars.0\"\r\n  #  Number of SNMP Get-Response received\r\n  [[inputs.snmp.field]]\r\n    name = \"snmpInGetResponses\"\r\n    oid = \"RFC1213-MIB::snmpInGetResponses.0\"\r\n  #  Number of SNMP messages sent\r\n  [[inputs.snmp.field]]\r\n    name = \"snmpOutPkts\"\r\n    oid = \"RFC1213-MIB::snmpOutPkts.0\"\r\n  #  Number of SNMP Get-Request sent\r\n  [[inputs.snmp.field]]\r\n    name = \"snmpOutGetRequests\"\r\n    oid = \"RFC1213-MIB::snmpOutGetRequests.0\"\r\n  #  Number of SNMP Get-Next sent\r\n  [[inputs.snmp.field]]\r\n    name = \"snmpOutGetNexts\"\r\n    oid = \"RFC1213-MIB::snmpOutGetNexts.0\"\r\n  #  Number of SNMP Get-Response sent\r\n  [[inputs.snmp.field]]\r\n    name = \"snmpOutGetResponses\"\r\n    oid = \"RFC1213-MIB::snmpOutGetResponses.0\"\r\n  #  Processor listing\r\n  [[inputs.snmp.table]]\r\n    index_as_tag = true\r\n    oid = \"HOST-RESOURCES-MIB::hrProcessorTable\"\r\n  ##\r\n  ## Host performance metrics\r\n  ##\r\n  #  System Load Average\r\n  [[inputs.snmp.table]]\r\n    oid = \"UCD-SNMP-MIB::laTable\"\r\n    [[inputs.snmp.table.field]]\r\n      oid = \"UCD-SNMP-MIB::laNames\"\r\n      is_tag = true\r\n  ##\r\n  ## System Memory (physical/virtual)\r\n  ##\r\n  #  Size of swap sapce configured\r\n  [[inputs.snmp.field]]\r\n    name = \"memTotalSwap\"\r\n    oid = \"UCD-SNMP-MIB::memTotalSwap.0\"\r\n  #  Size of swap sapce unused/avail\r\n  [[inputs.snmp.field]]\r\n    name = \"memAvailSwap\"\r\n    oid = \"UCD-SNMP-MIB::memAvailSwap.0\"\r\n  #  Size of real/phys mem installed\r\n  [[inputs.snmp.field]]\r\n    name = \"memTotalReal\"\r\n    oid = \"UCD-SNMP-MIB::memTotalReal.0\"\r\n  #  Size of real/phys mem unused/avail\r\n  [[inputs.snmp.field]]\r\n    name = \"memAvailReal\"\r\n    oid = \"UCD-SNMP-MIB::memAvailReal.0\"\r\n  #  Total amount of mem unused/avail\r\n  [[inputs.snmp.field]]\r\n    name = \"memTotalFree\"\r\n    oid = \"UCD-SNMP-MIB::memTotalFree.0\"\r\n  #  Size of mem used as shared memory\r\n  [[inputs.snmp.field]]\r\n    name = \"memShared\"\r\n    oid = \"UCD-SNMP-MIB::memShared.0\"\r\n  #  Size of mem used for buffers\r\n  [[inputs.snmp.field]]\r\n    name = \"memBuffer\"\r\n    oid = \"UCD-SNMP-MIB::memBuffer.0\"\r\n  #  Size of mem used for cache\r\n  [[inputs.snmp.field]]\r\n    name = \"memCached\"\r\n    oid = 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important metrics you want to see at a glance. Looking for suggestions or recommendations on things to add or change. ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-06-19T21:25:45.000Z","updatedAt":"2020-07-02T19:40:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12502"},{"rel":"revisions","href":"/dashboards/12502/revisions"},{"rel":"revision","href":"/dashboards/12502/revisions/8"},{"rel":"download","href":"/dashboards/12502/revisions/8/download"},{"rel":"org","href":"/orgs/matthewmedeiros"},{"rel":"images","href":"/dashboards/12502/images"},{"rel":"thumbnails","href":"/dashboards/12502/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21187,"status":1,"statusCode":"active","orgId":1136411,"orgSlug":"ltp1120","orgName":"ltp1120","slug":"unifi-wifi-overview","downloads":855,"revisionId":32968,"revision":1,"name":"Unifi Wifi SNMP Overview","description":"Custom Prometheus Unifi Wifi Overview by LTP using SNMP Exporter.","readme":"Custom Prometheus Unifi Wifi Overview by LTP using SNMP Exporter.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-01T03:41:51.000Z","updatedAt":"2024-06-03T03:27:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21187"},{"rel":"revisions","href":"/dashboards/21187/revisions"},{"rel":"revision","href":"/dashboards/21187/revisions/1"},{"rel":"download","href":"/dashboards/21187/revisions/1/download"},{"rel":"org","href":"/orgs/ltp1120"},{"rel":"images","href":"/dashboards/21187/images"},{"rel":"thumbnails","href":"/dashboards/21187/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22714,"status":1,"statusCode":"active","orgId":750919,"orgSlug":"computerknabe","orgName":"computerknabe","slug":"unifi-wifi-snmp-overview","downloads":293,"revisionId":35824,"revision":1,"name":"Unifi Wifi SNMP Overview","description":"Custom Prometheus Unifi Wifi Overview by LTP using SNMP Exporter.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-01-17T12:45:57.000Z","updatedAt":"2025-01-17T12:46:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22714"},{"rel":"revisions","href":"/dashboards/22714/revisions"},{"rel":"revision","href":"/dashboards/22714/revisions/1"},{"rel":"download","href":"/dashboards/22714/revisions/1/download"},{"rel":"org","href":"/orgs/computerknabe"},{"rel":"images","href":"/dashboards/22714/images"},{"rel":"thumbnails","href":"/dashboards/22714/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10419,"status":1,"statusCode":"active","orgId":135723,"orgSlug":"twitchcaptain","orgName":"David Newhall II","slug":"unifi-poller-client-dpi-influxdb","downloads":4925,"revisionId":31545,"revision":5,"name":"UniFi-Poller: Client DPI - InfluxDB","description":"Unpoller v2.9  Displays DPI information for clients in a UniFi network using InfluxDB.","readme":"# UniFi Client DPI: InfluxDB Dashboard\r\n**If your UniFi Network has DPI enabled, you want to get this dashboard.** This dashboard displays detailed information for packet-inspected client traffic found in a UniFi controller. \r\n\r\n#  [![UniFi Poller](https://raw.githubusercontent.com/wiki/unifi-poller/unifi-poller/images/unifi-poller-logo-smaller.png)](https://github.com/unifi-poller/unifi-poller)\r\nThe dashboard is multi-site capable.\r\nThe data displayed is stored in InfluxDB by [Unifi Poller](https://github.com/unifi-poller/unifi-poller). **This is one of several UniFi Poller dashboards.** [Click this link](https://grafana.com/dashboards?search=unifi-poller) to see them all.\r\n\r\n[UniFi Poller](https://github.com/unifi-poller/unifi-poller) is a small Golang application that runs on Windows, FreeBSD, macOS, Linux or\r\nDocker. It polls a UniFi controller every 30 seconds for measurements and stores\r\nthe data in an Influx database. A small setup with 2 APs, 1 switch, 1 gateway and\r\n40 clients produces over 3000 fields (metrics).\r\n\r\n#### More\r\n\r\n[Ubiquiti](https://www.ui.com) makes networking devices like switches, gateways\r\n(routers) and wireless access points. They have a line of equipment named\r\n[UniFi](https://www.ui.com/products/#unifi) that uses a\r\n[controller](https://www.ui.com/download/unifi/) to keep stats and simplify network\r\ndevice configuration. This controller can be installed on Windows, macOS and Linux.\r\nUbiquiti also provides a dedicated hardware device called a\r\n[CloudKey](https://www.ui.com/unifi/unifi-cloud-key/) that runs the controller software.\r\n","collectorType":"Select Collector","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-06-23T07:37:56.000Z","updatedAt":"2024-02-07T18:00:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10419"},{"rel":"revisions","href":"/dashboards/10419/revisions"},{"rel":"revision","href":"/dashboards/10419/revisions/5"},{"rel":"download","href":"/dashboards/10419/revisions/5/download"},{"rel":"org","href":"/orgs/twitchcaptain"},{"rel":"images","href":"/dashboards/10419/images"},{"rel":"thumbnails","href":"/dashboards/10419/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11310,"status":1,"statusCode":"active","orgId":135723,"orgSlug":"twitchcaptain","orgName":"David Newhall II","slug":"unifi-poller-client-dpi-prometheus","downloads":32749,"revisionId":27237,"revision":5,"name":"UniFi-Poller: Client DPI - Prometheus","description":"UniFi Poller v2.0.1 Displays DPI information for clients in a UniFi network using Prometheus.","readme":"# UniFi Client DPI: Prometheus Dashboard\r\n**If your UniFi Network has DPI enabled, you want to get this dashboard.** This dashboard displays detailed information for packet-inspected client traffic found in a UniFi controller.\r\n\r\n#  [![UniFi Poller](https://raw.githubusercontent.com/wiki/unifi-poller/unifi-poller/images/unifi-poller-logo-smaller.png)](https://github.com/unifi-poller/unifi-poller)\r\nThe dashboard is multi-site capable.\r\nThe data displayed is stored in InfluxDB by [Unifi Poller](https://github.com/unifi-poller/unifi-poller). **This is one of several UniFi Poller dashboards.** [Click this link](https://grafana.com/dashboards?search=unifi-poller) to see them all.\r\n\r\n[UniFi Poller](https://github.com/unifi-poller/unifi-poller) is a small Golang application that runs on Windows, FreeBSD, macOS, Linux or\r\nDocker. It polls a UniFi controller every 30 seconds for measurements and stores\r\nthe data in an Influx database. A small setup with 2 APs, 1 switch, 1 gateway and\r\n40 clients produces over 3000 fields (metrics).\r\n\r\n#### More\r\n\r\n[Ubiquiti](https://www.ui.com) makes networking devices like switches, gateways\r\n(routers) and wireless access points. They have a line of equipment named\r\n[UniFi](https://www.ui.com/products/#unifi) that uses a\r\n[controller](https://www.ui.com/download/unifi/) to keep stats and simplify network\r\ndevice configuration. This controller can be installed on Windows, macOS and Linux.\r\nUbiquiti also provides a dedicated hardware device called a\r\n[CloudKey](https://www.ui.com/unifi/unifi-cloud-key/) that runs the controller software.\r\n","collectorType":"Select Collector","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-29T08:37:56.000Z","updatedAt":"2023-01-01T19:52:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11310"},{"rel":"revisions","href":"/dashboards/11310/revisions"},{"rel":"revision","href":"/dashboards/11310/revisions/5"},{"rel":"download","href":"/dashboards/11310/revisions/5/download"},{"rel":"org","href":"/orgs/twitchcaptain"},{"rel":"images","href":"/dashboards/11310/images"},{"rel":"thumbnails","href":"/dashboards/11310/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10418,"status":1,"statusCode":"active","orgId":135723,"orgSlug":"twitchcaptain","orgName":"David Newhall II","slug":"unifi-poller-client-insights-influxdb","downloads":5511,"revisionId":31546,"revision":8,"name":"UniFi-Poller: Client Insights - InfluxDB","description":"Unpoller v2.9  Displays detailed information for clients in a UniFi network.","readme":"# UniFi Clients: InfluxDB Dashboard\r\n**If your UniFi Network has clients (it does), you want to get this dashboard. This dashboard displays detailed information for clients found in a UniFi controller. \r\nYou should also get the [Sites](https://grafana.com/dashboards/10414) dashboard.** \r\n\r\n#  [![UniFi Poller](https://raw.githubusercontent.com/wiki/unifi-poller/unifi-poller/images/unifi-poller-logo-smaller.png)](https://github.com/unifi-poller/unifi-poller)\r\nThe dashboard is multi-site capable.\r\nThe data displayed is stored in InfluxDB by [Unifi Poller](https://github.com/unifi-poller/unifi-poller). **This is one of several UniFi Poller dashboards.** [Click this link](https://grafana.com/dashboards?search=unifi-poller) to see them all.\r\n\r\n[UniFi Poller](https://github.com/unifi-poller/unifi-poller) is a small Golang application that runs on Windows, FreeBSD, macOS, Linux or\r\nDocker. It polls a UniFi controller every 30 seconds for measurements and stores\r\nthe data in an Influx database. A small setup with 2 APs, 1 switch, 1 gateway and\r\n40 clients produces over 3000 fields (metrics).\r\n\r\n#### More\r\n\r\n[Ubiquiti](https://www.ui.com) makes networking devices like switches, gateways\r\n(routers) and wireless access points. They have a line of equipment named\r\n[UniFi](https://www.ui.com/products/#unifi) that uses a\r\n[controller](https://www.ui.com/download/unifi/) to keep stats and simplify network\r\ndevice configuration. This controller can be installed on Windows, macOS and Linux.\r\nUbiquiti also provides a dedicated hardware device called a\r\n[CloudKey](https://www.ui.com/unifi/unifi-cloud-key/) that runs the controller software.\r\n","collectorType":"Select Collector","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-06-23T07:27:00.000Z","updatedAt":"2024-02-07T18:04:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":9,"reviewsAvgRating":4.56,"links":[{"rel":"self","href":"/dashboards/10418"},{"rel":"revisions","href":"/dashboards/10418/revisions"},{"rel":"revision","href":"/dashboards/10418/revisions/8"},{"rel":"download","href":"/dashboards/10418/revisions/8/download"},{"rel":"org","href":"/orgs/twitchcaptain"},{"rel":"images","href":"/dashboards/10418/images"},{"rel":"thumbnails","href":"/dashboards/10418/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11315,"status":1,"statusCode":"active","orgId":135723,"orgSlug":"twitchcaptain","orgName":"David Newhall II","slug":"unifi-poller-client-insights-prometheus","downloads":1645584,"revisionId":27242,"revision":9,"name":"UniFi-Poller: Client Insights - Prometheus","description":"UniFi Poller v2.0.1 Displays detailed information for clients in a UniFi network using Prometheus.","readme":"### Updated for Poller v2.0!\r\n\r\n# UniFi Clients: Prometheus Dashboard\r\n**If your UniFi Network has clients (it does), you want to get this dashboard. This dashboard displays detailed information for clients found in a UniFi controller. \r\n You should also get the [Sites](https://grafana.com/dashboards/11311) dashboard.** \r\n\r\n#  [![UniFi Poller](https://raw.githubusercontent.com/wiki/unifi-poller/unifi-poller/images/unifi-poller-logo-smaller.png)](https://github.com/unifi-poller/unifi-poller)\r\nThe dashboard is multi-site capable.\r\nThe data displayed is stored in Prometheus by [Unifi Poller](https://github.com/unifi-poller/unifi-poller). **This is one of several UniFi Poller dashboards.** [Click this link](https://grafana.com/dashboards?search=unifi-poller) to see them all.\r\n\r\n[UniFi Poller](https://github.com/unifi-poller/unifi-poller) is a small Golang application that runs on Windows, FreeBSD, macOS, Linux or\r\nDocker. The application opens a web port and when prometheus polls for data it translates the UniFi controller API metrics to Prometheus exported metrics.\r\n\r\n#### More\r\n\r\n[Ubiquiti](https://www.ui.com) makes networking devices like switches, gateways\r\n(routers) and wireless access points. They have a line of equipment named\r\n[UniFi](https://www.ui.com/products/#unifi) that uses a\r\n[controller](https://www.ui.com/download/unifi/) to keep stats and simplify network\r\ndevice configuration. This controller can be installed on Windows, macOS and Linux.\r\nUbiquiti also provides a dedicated hardware device called a\r\n[CloudKey](https://www.ui.com/unifi/unifi-cloud-key/) that runs the controller software.\r\n","collectorType":"Select Collector","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-29T08:39:09.000Z","updatedAt":"2023-01-01T19:52:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11315"},{"rel":"revisions","href":"/dashboards/11315/revisions"},{"rel":"revision","href":"/dashboards/11315/revisions/9"},{"rel":"download","href":"/dashboards/11315/revisions/9/download"},{"rel":"org","href":"/orgs/twitchcaptain"},{"rel":"images","href":"/dashboards/11315/images"},{"rel":"thumbnails","href":"/dashboards/11315/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10414,"status":1,"statusCode":"active","orgId":135723,"orgSlug":"twitchcaptain","orgName":"David Newhall II","slug":"unifi-poller-network-sites-influxdb","downloads":5661,"revisionId":31547,"revision":5,"name":"UniFi-Poller: Network Sites - InfluxDB","description":"Unpoller v2.9  Displays detailed information for network Sites in a UniFi controller.","readme":"# UniFi Sites: InfluxDB Dashboard\r\n**Every controller has at least one site, so this should be one of the first dashboards you install.**\r\nThis dashboard displays detailed information for Network Sites found in a UniFi controller. \r\n\r\n#  [![UniFi Poller](https://raw.githubusercontent.com/wiki/unifi-poller/unifi-poller/images/unifi-poller-logo-smaller.png)](https://github.com/unifi-poller/unifi-poller)\r\nThe dashboard is multi-site capable.\r\nThe data displayed is stored in InfluxDB by [Unifi Poller](https://github.com/unifi-poller/unifi-poller). **This is one of several UniFi Poller dashboards.** [Click this link](https://grafana.com/dashboards?search=unifi-poller) to see them all.\r\n\r\n[UniFi Poller](https://github.com/unifi-poller/unifi-poller) is a small Golang application that runs on Windows, FreeBSD, macOS, Linux or\r\nDocker. It polls a UniFi controller every 30 seconds for measurements and stores\r\nthe data in an Influx database. A small setup with 2 APs, 1 switch, 1 gateway and\r\n40 clients produces over 3000 fields (metrics).\r\n\r\n#### More\r\n\r\n[Ubiquiti](https://www.ui.com) makes networking devices like switches, gateways\r\n(routers) and wireless access points. They have a line of equipment named\r\n[UniFi](https://www.ui.com/products/#unifi) that uses a\r\n[controller](https://www.ui.com/download/unifi/) to keep stats and simplify network\r\ndevice configuration. This controller can be installed on Windows, macOS and Linux.\r\nUbiquiti also provides a dedicated hardware device called a\r\n[CloudKey](https://www.ui.com/unifi/unifi-cloud-key/) that runs the controller software.\r\n","collectorType":"Select Collector","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-06-23T07:20:12.000Z","updatedAt":"2024-02-07T18:04:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":4,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/10414"},{"rel":"revisions","href":"/dashboards/10414/revisions"},{"rel":"revision","href":"/dashboards/10414/revisions/5"},{"rel":"download","href":"/dashboards/10414/revisions/5/download"},{"rel":"org","href":"/orgs/twitchcaptain"},{"rel":"images","href":"/dashboards/10414/images"},{"rel":"thumbnails","href":"/dashboards/10414/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11311,"status":1,"statusCode":"active","orgId":135723,"orgSlug":"twitchcaptain","orgName":"David Newhall II","slug":"unifi-poller-network-sites-prometheus","downloads":1444374,"revisionId":27238,"revision":5,"name":"UniFi-Poller: Network Sites - Prometheus","description":"UniFi Poller v2.0 Displays detailed information for network Sites in a UniFi controller using Prometheus.","readme":"### Updated for Poller v2.0!\r\n\r\n# UniFi Sites: Prometheus Dashboard\r\n**Every controller has at least one site, so this should be one of the first dashboards you install.**\r\nThis dashboard displays detailed information for Network Sites found in a UniFi controller. \r\n\r\n#  [![UniFi Poller](https://raw.githubusercontent.com/wiki/unifi-poller/unifi-poller/images/unifi-poller-logo-smaller.png)](https://github.com/unifi-poller/unifi-poller)\r\nThe dashboard is multi-site capable.\r\nThe data displayed is stored in Prometheus by [Unifi Poller](https://github.com/unifi-poller/unifi-poller). **This is one of several UniFi Poller dashboards.** [Click this link](https://grafana.com/dashboards?search=unifi-poller) to see them all.\r\n\r\n[UniFi Poller](https://github.com/unifi-poller/unifi-poller) is a small Golang application that runs on Windows, FreeBSD, macOS, Linux or\r\nDocker. The application opens a web port and when prometheus polls for data it translates the UniFi controller API metrics to Prometheus exported metrics.\r\n\r\n#### More\r\n\r\n[Ubiquiti](https://www.ui.com) makes networking devices like switches, gateways\r\n(routers) and wireless access points. They have a line of equipment named\r\n[UniFi](https://www.ui.com/products/#unifi) that uses a\r\n[controller](https://www.ui.com/download/unifi/) to keep stats and simplify network\r\ndevice configuration. This controller can be installed on Windows, macOS and Linux.\r\nUbiquiti also provides a dedicated hardware device called a\r\n[CloudKey](https://www.ui.com/unifi/unifi-cloud-key/) that runs the controller software.\r\n","collectorType":"Select Collector","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-29T08:38:18.000Z","updatedAt":"2023-01-01T19:52:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11311"},{"rel":"revisions","href":"/dashboards/11311/revisions"},{"rel":"revision","href":"/dashboards/11311/revisions/5"},{"rel":"download","href":"/dashboards/11311/revisions/5/download"},{"rel":"org","href":"/orgs/twitchcaptain"},{"rel":"images","href":"/dashboards/11311/images"},{"rel":"thumbnails","href":"/dashboards/11311/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22143,"status":1,"statusCode":"active","orgId":233236,"orgSlug":"itbenelux","orgName":"itbenelux","slug":"unifi-poller-network-sites-prometheus","downloads":517,"revisionId":34746,"revision":1,"name":"UniFi-Poller: Network Sites - Prometheus","description":"UniFi Poller v2.0 Displays detailed information for network Sites in a UniFi controller using Prometheus.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-10-22T12:27:01.000Z","updatedAt":"2024-10-22T12:28:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22143"},{"rel":"revisions","href":"/dashboards/22143/revisions"},{"rel":"revision","href":"/dashboards/22143/revisions/1"},{"rel":"download","href":"/dashboards/22143/revisions/1/download"},{"rel":"org","href":"/orgs/itbenelux"},{"rel":"images","href":"/dashboards/22143/images"},{"rel":"thumbnails","href":"/dashboards/22143/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23027,"status":1,"statusCode":"active","orgId":1314395,"orgSlug":"kashalls","orgName":"kashalls","slug":"unifi-poller-pdu-insights-prometheus","downloads":9634,"revisionId":36372,"revision":1,"name":"UniFi-Poller: PDU Insights - Prometheus","description":"UniFi Poller v2.0.1 Displays detailed information for PDU's in a UniFi network using Prometheus.","readme":"Requires a working https://github.com/unpoller/unpoller collector.\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-03-06T04:41:15.000Z","updatedAt":"2025-03-06T04:54:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23027"},{"rel":"revisions","href":"/dashboards/23027/revisions"},{"rel":"revision","href":"/dashboards/23027/revisions/1"},{"rel":"download","href":"/dashboards/23027/revisions/1/download"},{"rel":"org","href":"/orgs/kashalls"},{"rel":"images","href":"/dashboards/23027/images"},{"rel":"thumbnails","href":"/dashboards/23027/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10415,"status":1,"statusCode":"active","orgId":135723,"orgSlug":"twitchcaptain","orgName":"David Newhall II","slug":"unifi-poller-uap-insights-influxdb","downloads":5153,"revisionId":31548,"revision":7,"name":"UniFi-Poller: UAP Insights - InfluxDB","description":"Unpoller v2.9  Displays detailed information for wireless access points in a UniFi network.","readme":"# UniFi UAP: InfluxDB Dashboard\r\n\r\n**If you have a UniFi Access Point, you want to get this dashboard, the [Clients](https://grafana.com/dashboards/10418) dashboard and the [Sites](https://grafana.com/dashboards/10414) dashboards at minimum.**\r\nThis dashboard displays detailed information for Wireless Access Points found in a UniFi controller.\r\n\r\n#  [![UniFi Poller](https://raw.githubusercontent.com/wiki/unifi-poller/unifi-poller/images/unifi-poller-logo-smaller.png)](https://github.com/unifi-poller/unifi-poller)\r\n The dashboard is multi-site capable.\r\nThe data displayed is stored in InfluxDB by [Unifi Poller](https://github.com/unifi-poller/unifi-poller). **This is one of several UniFi Poller dashboards.** [Click this link](https://grafana.com/dashboards?search=unifi-poller) to see them all.\r\n\r\n[UniFi Poller](https://github.com/unifi-poller/unifi-poller) is a small Golang application that runs on Windows, FreeBSD, macOS, Linux or\r\nDocker. It polls a UniFi controller every 30 seconds for measurements and stores\r\nthe data in an Influx database. A small setup with 2 APs, 1 switch, 1 gateway and\r\n40 clients produces over 3000 fields (metrics).\r\n\r\n#### More\r\n\r\n[Ubiquiti](https://www.ui.com) makes networking devices like switches, gateways\r\n(routers) and wireless access points. They have a line of equipment named\r\n[UniFi](https://www.ui.com/products/#unifi) that uses a\r\n[controller](https://www.ui.com/download/unifi/) to keep stats and simplify network\r\ndevice configuration. 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This controller can be installed on Windows, macOS and Linux.\r\nUbiquiti also provides a dedicated hardware device called a\r\n[CloudKey](https://www.ui.com/unifi/unifi-cloud-key/) that runs the controller software.\r\n","collectorType":"Select Collector","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-06-23T07:24:32.000Z","updatedAt":"2024-02-07T18:03:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":6,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/10416"},{"rel":"revisions","href":"/dashboards/10416/revisions"},{"rel":"revision","href":"/dashboards/10416/revisions/7"},{"rel":"download","href":"/dashboards/10416/revisions/7/download"},{"rel":"org","href":"/orgs/twitchcaptain"},{"rel":"images","href":"/dashboards/10416/images"},{"rel":"thumbnails","href":"/dashboards/10416/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11313,"status":1,"statusCode":"active","orgId":135723,"orgSlug":"twitchcaptain","orgName":"David Newhall II","slug":"unifi-poller-usg-insights-prometheus","downloads":1334872,"revisionId":27240,"revision":9,"name":"UniFi-Poller: USG Insights - Prometheus","description":"UniFi Poller v2.0.1 Displays detailed information for security gateways in a UniFi network using Prometheus.","readme":"### Updated for Poller v2.0!\r\n\r\n# UniFi USG: Prometheus Dashboard\r\nThis dashboard displays detailed information for Security Gateways found in a UniFi controller. **Grab this dashboard if your controller manages a security gateway or dream machine.**\r\n\r\n#  [![UniFi Poller](https://raw.githubusercontent.com/wiki/unifi-poller/unifi-poller/images/unifi-poller-prometheus-logo-small.png)](https://github.com/unifi-poller/unifi-poller)\r\nThe dashboard is multi-site capable.\r\nThe data displayed is stored in Prometheus by [Unifi Poller](https://github.com/unifi-poller/unifi-poller). **This is one of several UniFi Poller dashboards.** [Click this link](https://grafana.com/dashboards?search=unifi-poller) to see them all.\r\n\r\n[UniFi Poller](https://github.com/unifi-poller/unifi-poller) is a small Golang application that runs on Windows, macOS, Linux or\r\nDocker. 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This controller can be installed on Windows, macOS and Linux.\r\nUbiquiti also provides a dedicated hardware device called a\r\n[CloudKey](https://www.ui.com/unifi/unifi-cloud-key/) that runs the controller software.\r\n","collectorType":"Select Collector","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-29T08:38:45.000Z","updatedAt":"2023-01-01T19:52:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11313"},{"rel":"revisions","href":"/dashboards/11313/revisions"},{"rel":"revision","href":"/dashboards/11313/revisions/9"},{"rel":"download","href":"/dashboards/11313/revisions/9/download"},{"rel":"org","href":"/orgs/twitchcaptain"},{"rel":"images","href":"/dashboards/11313/images"},{"rel":"thumbnails","href":"/dashboards/11313/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17716,"status":1,"statusCode":"active","orgId":765308,"orgSlug":"inspirewifi","orgName":"inspirewifi","slug":"unifi-poller-usg-insights-prometheus","downloads":327,"revisionId":27187,"revision":1,"name":"UniFi-Poller: USG Insights - Prometheus","description":"UniFi Poller v2.0.1 Displays detailed information for security gateways in a UniFi network using Prometheus.","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":"Network plugin","datasource":"Prometheus","privacy":"public","createdAt":"2022-12-27T20:26:39.000Z","updatedAt":"2022-12-27T20:42:38.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17716"},{"rel":"revisions","href":"/dashboards/17716/revisions"},{"rel":"revision","href":"/dashboards/17716/revisions/1"},{"rel":"download","href":"/dashboards/17716/revisions/1/download"},{"rel":"org","href":"/orgs/inspirewifi"},{"rel":"images","href":"/dashboards/17716/images"},{"rel":"thumbnails","href":"/dashboards/17716/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10417,"status":1,"statusCode":"active","orgId":135723,"orgSlug":"twitchcaptain","orgName":"David Newhall II","slug":"unifi-poller-usw-insights-influxdb","downloads":5661,"revisionId":31549,"revision":7,"name":"UniFi-Poller: USW Insights - InfluxDB","description":"Unpoller v2.9  Displays detailed information for network switches in a UniFi network.","readme":"# UniFi USW: InfluxDB Dashboard\r\nThis dashboard displays detailed information for Network Switches found in a UniFi controller. **Grab this dashboard if your controller manages any switches or a dream machine.** It produces a ton of information per port.\r\n\r\n#  [![UniFi Poller](https://raw.githubusercontent.com/wiki/unifi-poller/unifi-poller/images/unifi-poller-logo-smaller.png)](https://github.com/unifi-poller/unifi-poller)\r\nThe dashboard is multi-site capable.\r\nThe data displayed is stored in InfluxDB by [Unifi Poller](https://github.com/unifi-poller/unifi-poller). **This is one of several UniFi Poller dashboards.** [Click this link](https://grafana.com/dashboards?search=unifi-poller) to see them all.\r\n\r\n[UniFi Poller](https://github.com/unifi-poller/unifi-poller) is a small Golang application that runs on Windows, macOS, Linux or\r\nDocker. 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This dashboard provides visualizations for all available metrics. Learn more at [https://unpackerr.zip](https://unpackerr.zip).\r\n\r\nHere's an example Prometheus scrape_config to scrape Unpackerr. \r\n```\r\n  - job_name: 'unpackerr'\r\n    scrape_interval: 1m\r\n    static_configs:\r\n      - targets: ['unpackerr:5656']\r\n```\r\n\r\nEnable webserver in unpackerr with env `UN_WEBSERVER_METRICS=true` or config file:\r\n```\r\n[webserver]\r\nmetrics = true\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-05-24T06:00:42.000Z","updatedAt":"2024-01-09T09:36:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18817"},{"rel":"revisions","href":"/dashboards/18817/revisions"},{"rel":"revision","href":"/dashboards/18817/revisions/1"},{"rel":"download","href":"/dashboards/18817/revisions/1/download"},{"rel":"org","href":"/orgs/twitchcaptain"},{"rel":"images","href":"/dashboards/18817/images"},{"rel":"thumbnails","href":"/dashboards/18817/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19343,"status":1,"statusCode":"active","orgId":922746,"orgSlug":"omareljamal17","orgName":"omareljamal17","slug":"unpackerr","downloads":272,"revisionId":29663,"revision":1,"name":"Unpackerr","description":"Official Unpackerr 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system","datasource":"InfluxDB","privacy":"public","createdAt":"2018-10-27T21:12:00.000Z","updatedAt":"2018-10-27T21:22:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8645"},{"rel":"revisions","href":"/dashboards/8645/revisions"},{"rel":"revision","href":"/dashboards/8645/revisions/1"},{"rel":"download","href":"/dashboards/8645/revisions/1/download"},{"rel":"org","href":"/orgs/dazzathewiz"},{"rel":"images","href":"/dashboards/8645/images"},{"rel":"thumbnails","href":"/dashboards/8645/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15503,"status":1,"statusCode":"active","orgId":585728,"orgSlug":"darki73","orgName":"darki73","slug":"system-information","downloads":406,"revisionId":23391,"revision":2,"name":"Unraid Dashboard ","description":" A Grafana dashboard for displaying Unraid stats","readme":"# Grafana Dashboard to display your Unraid stats using Telegraf and InfluxDB2\r\nThis is a dashboard modified to support InfluxDB2 and is based on [this dashboard](https://grafana.com/grafana/dashboards/7233) made by [gilbn](https://grafana.com/orgs/gilbn)\r\n\r\n## Enabling and working with `nvidia-smi`\r\nIn order to work with `nvidia-smi`, you need to launch **Telegraf** container with ```--runtime=nvidia``` ***Extra Argument***   \r\nThis however is not the last step, as to improve speed of querying data from your GPUs, you also need to create a custom user script which should be executed during the startup with the following content:\r\n```bash\r\n#!/bin/bash\r\nnvidia-persistenced\r\n```\r\n\r\n## CPU Package Temp\r\nThis dashboard supports package temperature reporting for both Intel and AMD, you just need to hide one or another in the queries for the panel.   \r\nAMD query takes into account the \"headroom\" of 27 degrees given by AMD, so if system reports 68 degrees, the real temperature is 41 degrees.\r\n\r\n## P.S.\r\nI am not the original author of this dashboard, i've just edited queries to support integration with InfluxDB 2.   \r\nThe best thing you can do is to notify the original author about this one, so he can create a new version released under his name.   \r\n\r\n","collectorType":"Telegraf","collectorConfig":"```\r\n[global_tags]\r\n[agent]\r\n  interval = \"10s\"\r\n  round_interval = true\r\n  metric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"10s\"\r\n  flush_jitter = \"0s\"\r\n  precision = \"\"\r\n  debug = false\r\n  quiet = false\r\n  hostname = \"\"\r\n  omit_hostname = false\r\n\r\n###############################################################################\r\n#                            OUTPUT PLUGINS                                   #\r\n###############################################################################\r\n\r\n[[outputs.influxdb_v2]]\r\n  urls = [\"http://127.0.0.1:8086\"]\r\n  token = \"InfluxDB2Token\"\r\n  organization = \"Organization\"\r\n  bucket = \"telegraf\"\r\n\r\n###############################################################################\r\n#                            INPUT PLUGINS                                    #\r\n###############################################################################\r\n\r\n\r\n# Read metrics about cpu usage\r\n[[inputs.cpu]]\r\n  percpu = true\r\n  totalcpu = true\r\n  collect_cpu_time = false\r\n  report_active = false\r\n\r\n[[inputs.disk]]\r\n  mount_points = []\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\"]\r\n\r\n[[inputs.diskio]]\r\n  # no configuration\r\n\r\n[[inputs.kernel]]\r\n  # no configuration\r\n\r\n[[inputs.mem]]\r\n  # no configuration\r\n\r\n[[inputs.processes]]\r\n  # no configuration\r\n\r\n[[inputs.swap]]\r\n  # no configuration\r\n\r\n\r\n[[inputs.system]]\r\n  # no configuration\r\n\r\n[[inputs.apcupsd]]\r\n  # no configuration\r\n\r\n\r\n[[inputs.docker]]\r\n  endpoint = \"unix:///var/run/docker.sock\"\r\n  gather_services = false\r\n  container_names = []\r\n  timeout = \"5s\"\r\n  perdevice = true\r\n\r\n[[inputs.net]]\r\n  interfaces = [\"eth1\"]\r\n\r\n[[inputs.netstat]]\r\n  # no configuration\r\n\r\n[[inputs.nvidia_smi]]\r\n  bin_path = \"/usr/bin/nvidia-smi\"\r\n  timeout = \"15s\"\r\n\r\n[[inputs.sensors]]\r\n  # no configuration\r\n\r\n[[inputs.smart]]\r\n  attributes = true\r\n```","collectorPluginList":"docker, influxdb, Other, system, sensors ","datasource":"InfluxDB","privacy":"public","createdAt":"2022-01-08T21:16:50.000Z","updatedAt":"2022-01-08T21:35:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15503"},{"rel":"revisions","href":"/dashboards/15503/revisions"},{"rel":"revision","href":"/dashboards/15503/revisions/2"},{"rel":"download","href":"/dashboards/15503/revisions/2/download"},{"rel":"org","href":"/orgs/darki73"},{"rel":"images","href":"/dashboards/15503/images"},{"rel":"thumbnails","href":"/dashboards/15503/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10914,"status":1,"statusCode":"active","orgId":173136,"orgSlug":"gilbn","orgName":"gilbn","slug":"unraid-nut-ups-dashboard-tr","downloads":956,"revisionId":18812,"revision":6,"name":"Unraid NUT UPS Dashboard TR","description":"https://technicalramblings.com/blog/setting-grafana-influxdb-telegraf-ups-monitoring-unraid/","readme":"\n\n# Grafana dashboard for displaying UPS stats using the NUT plugin and the [maihai/nut-influxdb-exporter](https://hub.docker.com/r/maihai/nut-influxdb-exporter) docker container. [UPS Grafana Guide](https://technicalramblings.com/blog/monitoring-your-ups-stats-and-cost-with-influxdb-and-grafana-on-unraid-nut-edition/) \n\n## Join the Unraid discord! \n\n[![Unraid](https://raw.githubusercontent.com/selfhosters/unRAID-CA-templates/master/.github/ISSUE_TEMPLATE/discord_unraid_unraid.png )](https://discord.gg/qWPbc8R)\n\n[![Discord](https://img.shields.io/discord/641230698166091777?color=%23ff8c2f&label=Discord&logo=discord&logoColor=%23ff8c2f&style=for-the-badge)](https://discord.gg/qWPbc8R)\n\n## For support on the dashboard click: [![Discord](https://img.shields.io/discord/591352397830553601.svg?style=for-the-badge&logo=discord)](https://discord.gg/HM5uUKU)\n\n\n### For the custom theme/skin check out: [theme.park](https://github.com/gilbN/theme.park)\n\n## Use the variables to set the UPS datasource ect.\n![](https://i.imgur.com/5pZav4a.png) \n\n### Screenshot:\n![](https://i.imgur.com/b1zsrzM.jpg) \n\n**Updates:** \n\n25-05-20: Fixed fill none on graph panels, and  relative time on ups load vs time left panel. \n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-09-25T22:16:58.000Z","updatedAt":"2020-09-14T21:26:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10914"},{"rel":"revisions","href":"/dashboards/10914/revisions"},{"rel":"revision","href":"/dashboards/10914/revisions/6"},{"rel":"download","href":"/dashboards/10914/revisions/6/download"},{"rel":"org","href":"/orgs/gilbn"},{"rel":"images","href":"/dashboards/10914/images"},{"rel":"thumbnails","href":"/dashboards/10914/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11289,"status":1,"statusCode":"active","orgId":303084,"orgSlug":"orangejoeservers","orgName":"orangejoeservers","slug":"unraid-plex-dash","downloads":934,"revisionId":15779,"revision":2,"name":"Unraid Plex Dash","description":"A Grafana dashboard for Varken","readme":"Aggregates data from Varken for Plex and system info for Unraid. \nRequired containers: Varken, InfluxDB, Telegraf, Plex, Tautulli, Grafana","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-11-27T14:46:05.000Z","updatedAt":"2019-11-27T19:07:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11289"},{"rel":"revisions","href":"/dashboards/11289/revisions"},{"rel":"revision","href":"/dashboards/11289/revisions/2"},{"rel":"download","href":"/dashboards/11289/revisions/2/download"},{"rel":"org","href":"/orgs/orangejoeservers"},{"rel":"images","href":"/dashboards/11289/images"},{"rel":"thumbnails","href":"/dashboards/11289/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13944,"status":1,"statusCode":"active","orgId":466864,"orgSlug":"kedinger","orgName":"MacInBlack","slug":"unraid-plex-dash","downloads":286,"revisionId":20423,"revision":1,"name":"Unraid Plex Dash","description":"A Grafana dashboard for Varken","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-02-22T04:25:25.000Z","updatedAt":"2021-02-22T04:26:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13944"},{"rel":"revisions","href":"/dashboards/13944/revisions"},{"rel":"revision","href":"/dashboards/13944/revisions/1"},{"rel":"download","href":"/dashboards/13944/revisions/1/download"},{"rel":"org","href":"/orgs/kedinger"},{"rel":"images","href":"/dashboards/13944/images"},{"rel":"thumbnails","href":"/dashboards/13944/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17979,"status":1,"statusCode":"active","orgId":784781,"orgSlug":"john52","orgName":"john52","slug":"unraid-plex-dash","downloads":277,"revisionId":27567,"revision":1,"name":"Unraid Plex Dash","description":"A Grafana dashboard for Varken","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-01-28T02:29:51.000Z","updatedAt":"2023-01-28T02:30:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17979"},{"rel":"revisions","href":"/dashboards/17979/revisions"},{"rel":"revision","href":"/dashboards/17979/revisions/1"},{"rel":"download","href":"/dashboards/17979/revisions/1/download"},{"rel":"org","href":"/orgs/john52"},{"rel":"images","href":"/dashboards/17979/images"},{"rel":"thumbnails","href":"/dashboards/17979/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":7233,"status":1,"statusCode":"active","orgId":173136,"orgSlug":"gilbn","orgName":"gilbn","slug":"unraid-system-dashboard-v2","downloads":3986,"revisionId":20205,"revision":28,"name":"Unraid System Dashboard V2","description":" A Grafana dashboard for displaying Unraid stats","readme":"# A Grafana dashboard for displaying Unraid stats using  [Telegraf](https://www.influxdata.com/time-series-platform/telegraf/) and [UPS data](https://technicalramblings.com/blog/monitoring-your-ups-stats-and-cost-with-influxdb-and-grafana-on-unraid-telegraf-edition/)\n\n# Guide: [How to setup Grafana, InfluxDB and Telegraf to monitor your unRAID system.](https://technicalramblings.com/blog/how-to-setup-grafana-influxdb-and-telegraf-to-monitor-your-unraid-system/)\n\n## Join the Unraid discord! \n\n[![Unraid](https://raw.githubusercontent.com/selfhosters/unRAID-CA-templates/master/.github/ISSUE_TEMPLATE/discord_unraid_unraid.png )](https://discord.gg/qWPbc8R)\n\n[![Discord](https://img.shields.io/discord/641230698166091777?color=%23ff8c2f&label=Discord&logo=discord&logoColor=%23ff8c2f&style=for-the-badge)](https://discord.gg/qWPbc8R)\n\n## For support on the dashboard click: [![Discord](https://img.shields.io/discord/591352397830553601.svg?style=for-the-badge&logo=discord)](https://discord.gg/HM5uUKU)\n\n# For the custom theme/skin check out: [theme.park](https://github.com/gilbN/theme.park)\n\nUpdates: \n\nV28: Variable fix for SMART panels. \n\nV27: Changed back to SI instead of IEC on  Storage Consumption. Some small changes on SMART panels etc\n\nV26: Set Storage Consumption panel to use bytes(metric) instead of IEC. \n\n## Use the variables to set the different data sources.\n![](https://imgur.com/TyDJntd.png) \n\n### Screenshot:\n![](https://imgur.com/tzt03LJ.png) \n![](https://imgur.com/KyrCWL8.png)\n# telegraf.conf\n```\n# Telegraf Configuration\n#\n# Telegraf is entirely plugin driven. All metrics are gathered from the\n# declared inputs, and sent to the declared outputs.\n#\n# Plugins must be declared in here to be active.\n# To deactivate a plugin, comment out the name and any variables.\n#\n# Use 'telegraf -config telegraf.conf -test' to see what metrics a config\n# file would generate.\n#\n# Environment variables can be used anywhere in this config file, simply prepend\n# them with $. For strings the variable must be within quotes (ie, \"$STR_VAR\"),\n# for numbers and booleans they should be plain (ie, $INT_VAR, $BOOL_VAR)\n\n\n# Global tags can be specified here in key=\"value\" format.\n[global_tags]\n  # dc = \"us-east-1\" # will tag all metrics with dc=us-east-1\n  # rack = \"1a\"\n  ## Environment variables can be used as tags, and throughout the config file\n  # user = \"$USER\"\n  \n# Configuration for telegraf agent\n[agent]\n  ## Default data collection interval for all inputs\n  interval = \"10s\"\n  ## Rounds collection interval to 'interval'\n  ## ie, if interval=\"10s\" then always collect on :00, :10, :20, etc.\n  round_interval = true\n\n  ## Telegraf will send metrics to outputs in batches of at most\n  ## metric_batch_size metrics.\n  ## This controls the size of writes that Telegraf sends to output plugins.\n  metric_batch_size = 1000\n\n  ## For failed writes, telegraf will cache metric_buffer_limit metrics for each\n  ## output, and will flush this buffer on a successful write. Oldest metrics\n  ## are dropped first when this buffer fills.\n  ## This buffer only fills when writes fail to output plugin(s).\n  metric_buffer_limit = 10000\n\n  ## Collection jitter is used to jitter the collection by a random amount.\n  ## Each plugin will sleep for a random time within jitter before collecting.\n  ## This can be used to avoid many plugins querying things like sysfs at the\n  ## same time, which can have a measurable effect on the system.\n  collection_jitter = \"0s\"\n\n  ## Default flushing interval for all outputs. You shouldn't set this below\n  ## interval. Maximum flush_interval will be flush_interval + flush_jitter\n  flush_interval = \"10s\"\n  ## Jitter the flush interval by a random amount. This is primarily to avoid\n  ## large write spikes for users running a large number of telegraf instances.\n  ## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s\n  flush_jitter = \"0s\"\n\n  ## By default or when set to \"0s\", precision will be set to the same\n  ## timestamp order as the collection interval, with the maximum being 1s.\n  ##   ie, when interval = \"10s\", precision will be \"1s\"\n  ##       when interval = \"250ms\", precision will be \"1ms\"\n  ## Precision will NOT be used for service inputs. It is up to each individual\n  ## service input to set the timestamp at the appropriate precision.\n  ## Valid time units are \"ns\", \"us\" (or \"µs\"), \"ms\", \"s\".\n  precision = \"\"\n\n  ## Logging configuration:\n  ## Run telegraf with debug log messages.\n  debug = false\n  ## Run telegraf in quiet mode (error log messages only).\n  quiet = false\n  ## Specify the log file name. The empty string means to log to stderr.\n  logfile = \"\"\n\n  ## Override default hostname, if empty use os.Hostname()\n  hostname = \"\"\n  ## If set to true, do no set the \"host\" tag in the telegraf agent.\n  omit_hostname = false\n  \n  \n###############################################################################\n#                            OUTPUT PLUGINS                                   #\n###############################################################################\n\n# Configuration for influxdb server to send metrics to\n[[outputs.influxdb]]\n  ## The full HTTP or UDP URL for your InfluxDB instance.\n  ##\n  ## Multiple urls can be specified as part of the same cluster,\n  ## this means that only ONE of the urls will be written to each interval.\n  # urls = [\"udp://127.0.0.1:8089\"] # UDP endpoint example\n  urls = [\"http://192.168.1.34:8086\"] # required\n  ## The target database for metrics (telegraf will create it if not exists).\n  database = \"telegraf\" # required\n\n  ## Name of existing retention policy to write to.  Empty string writes to\n  ## the default retention policy.\n  retention_policy = \"\"\n  ## Write consistency (clusters only), can be: \"any\", \"one\", \"quorum\", \"all\"\n  write_consistency = \"any\"\n\n  ## Write timeout (for the InfluxDB client), formatted as a string.\n  ## If not provided, will default to 5s. 0s means no timeout (not recommended).\n  timeout = \"5s\"\n  # username = \"telegraf\"\n  # password = \"metricsmetricsmetricsmetrics\"\n  ## Set the user agent for HTTP POSTs (can be useful for log differentiation)\n  # user_agent = \"telegraf\"\n  ## Set UDP payload size, defaults to InfluxDB UDP Client default (512 bytes)\n  # udp_payload = 512\n\n  ## Optional SSL Config\n  # ssl_ca = \"/etc/telegraf/ca.pem\"\n  # ssl_cert = \"/etc/telegraf/cert.pem\"\n  # ssl_key = \"/etc/telegraf/key.pem\"\n  ## Use SSL but skip chain & host verification\n  # insecure_skip_verify = false\n\n  ## HTTP Proxy Config\n  # http_proxy = \"http://corporate.proxy:3128\"\n\n  ## Optional HTTP headers\n  # http_headers = {\"X-Special-Header\" = \"Special-Value\"}\n\n  ## Compress each HTTP request payload using GZIP.\n  # content_encoding = \"gzip\"\n  \n###############################################################################\n#                            INPUT PLUGINS                                    #\n###############################################################################\n\n# Read metrics about cpu usage\n[[inputs.cpu]]\n  ## Whether to report per-cpu stats or not\n  percpu = true\n  ## Whether to report total system cpu stats or not\n  totalcpu = true\n  ## If true, collect raw CPU time metrics.\n  collect_cpu_time = false\n  ## If true, compute and report the sum of all non-idle CPU states.\n  report_active = false\n \n# # Monitor sensors, requires lm-sensors package\n [[inputs.sensors]]\n#   ## Remove numbers from field names.\n#   ## If true, a field name like 'temp1_input' will be changed to 'temp_input'.\n#   # remove_numbers = true \n  \n  # Read metrics about disk usage by mount point\n[[inputs.disk]]\n  ## By default, telegraf gather stats for all mountpoints.\n  ## Setting mountpoints will restrict the stats to the specified mountpoints.\n  # mount_points = [\"/\"]\n\n  ## Ignore some mountpoints by filesystem type. For example (dev)tmpfs (usually\n  ## present on /run, /var/run, /dev/shm or /dev).\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\"]\n\n  # # Read metrics from storage devices supporting S.M.A.R.T.\n [[inputs.smart]]\n # Read metrics about disk IO by device\n\n[[inputs.diskio]]\n  ## By default, telegraf will gather stats for all devices including\n  ## disk partitions.\n  ## Setting devices will restrict the stats to the specified devices.\n  # devices = [\"sda\", \"sdb\"]\n  ## Uncomment the following line if you need disk serial numbers.\n  # skip_serial_number = false\n  #\n  ## On systems which support it, device metadata can be added in the form of\n  ## tags.\n  ## Currently only Linux is supported via udev properties. You can view\n  ## available properties for a device by running:\n  ## 'udevadm info -q property -n /dev/sda'\n  # device_tags = [\"ID_FS_TYPE\", \"ID_FS_USAGE\"]\n  #\n  ## Using the same metadata source as device_tags, you can also customize the\n  ## name of the device via templates.\n  ## The 'name_templates' parameter is a list of templates to try and apply to\n  ## the device. The template may contain variables in the form of '$PROPERTY' or\n  ## '${PROPERTY}'. The first template which does not contain any variables not\n  ## present for the device is used as the device name tag.\n  ## The typical use case is for LVM volumes, to get the VG/LV name instead of\n  ## the near-meaningless DM-0 name.\n  # name_templates = [\"$ID_FS_LABEL\",\"$DM_VG_NAME/$DM_LV_NAME\"]\n\n\n\n# Get kernel statistics from /proc/stat\n[[inputs.kernel]]\n  # no configuration\n\n\n# Read metrics about memory usage\n[[inputs.mem]]\n  # no configuration\n\n\n# Get the number of processes and group them by status\n[[inputs.processes]]\n  # no configuration\n\n\n# Read metrics about swap memory usage\n[[inputs.swap]]\n  # no configuration\n\n\n# Read metrics about system load & uptime\n[[inputs.system]]\n  # no configuration\n\n# # Read metrics about network interface usage\n [[inputs.net]]\n#   ## By default, telegraf gathers stats from any up interface (excluding loopback)\n#   ## Setting interfaces will tell it to gather these explicit interfaces,\n#   ## regardless of status.\n#   ##\n    interfaces = [\"eth0\"]\n\t\n# # Read TCP metrics such as established, time wait and sockets counts.\n [[inputs.netstat]]\n#   # no configuration\t\n  \n# # Read metrics about docker containers\n [[inputs.docker]]\n#   ## Docker Endpoint\n#   ##   To use TCP, set endpoint = \"tcp://[ip]:[port]\"\n#   ##   To use environment variables (ie, docker-machine), set endpoint = \"ENV\"\n   endpoint = \"unix:///var/run/docker.sock\"\n#\n#   ## Set to true to collect Swarm metrics(desired_replicas, running_replicas)\n   gather_services = false\n#\n#   ## Only collect metrics for these containers, collect all if empty\n   container_names = []\n#\n#   ## Containers to include and exclude. Globs accepted.\n#   ## Note that an empty array for both will include all containers\n   container_name_include = []\n#   container_name_exclude = []\n#\n#   ## Timeout for docker list, info, and stats commands\n   timeout = \"5s\"\n#\n#   ## Whether to report for each container per-device blkio (8:0, 8:1...) and\n#   ## network (eth0, eth1, ...) stats or not\n   perdevice = true\n#   ## Whether to report for each container total blkio and network stats or not\n#   total = false\n#   ## Which environment variables should we use as a tag\n#   ##tag_env = [\"JAVA_HOME\", \"HEAP_SIZE\"]\n#\n#   ## docker labels to include and exclude as tags.  Globs accepted.\n#   ## Note that an empty array for both will include all labels as tags\n   docker_label_include = []\n#   docker_label_exclude = []\n#\n#   ## Optional SSL Config\n#   # ssl_ca = \"/etc/telegraf/ca.pem\"\n#   # ssl_cert = \"/etc/telegraf/cert.pem\"\n#   # ssl_key = \"/etc/telegraf/key.pem\"\n#   ## Use SSL but skip chain & host verification\n#   # insecure_skip_verify = false\n```","collectorType":"Telegraf","collectorConfig":"","collectorPluginList":"influxdb, docker, sensors , system, Other","datasource":"InfluxDB","privacy":"public","createdAt":"2018-07-30T14:10:50.000Z","updatedAt":"2021-01-30T21:34:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":4,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/7233"},{"rel":"revisions","href":"/dashboards/7233/revisions"},{"rel":"revision","href":"/dashboards/7233/revisions/28"},{"rel":"download","href":"/dashboards/7233/revisions/28/download"},{"rel":"org","href":"/orgs/gilbn"},{"rel":"images","href":"/dashboards/7233/images"},{"rel":"thumbnails","href":"/dashboards/7233/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":7197,"status":1,"statusCode":"active","orgId":173136,"orgSlug":"gilbn","orgName":"gilbn","slug":"unraid-ups-dashboard-tr","downloads":1682,"revisionId":14827,"revision":20,"name":"Unraid UPS Dashboard TR","description":"https://technicalramblings.com/blog/setting-grafana-influxdb-telegraf-ups-monitoring-unraid/","readme":"# Edit: 26.7.19 Check out [v2.0](https://grafana.com/grafana/dashboards/10615) of the Grafana dashboard for displaying UPS stats on Unraid. [UPS Grafana Guide](https://technicalramblings.com/blog/monitoring-your-ups-stats-and-cost-with-influxdb-and-grafana-on-unraid-v2-0/) \r\n\r\n## A Grafana dashboard for displaying UPS stats. [UPS Grafana Guide](https://technicalramblings.com/blog/setting-grafana-influxdb-telegraf-ups-monitoring-unraid/) \r\n\r\n## Join the Unraid discord! \r\n\r\n[![Unraid](https://raw.githubusercontent.com/selfhosters/unRAID-CA-templates/master/.github/ISSUE_TEMPLATE/discord_unraid_unraid.png )](https://discord.gg/qWPbc8R)\r\n\r\n[![Discord](https://img.shields.io/discord/641230698166091777?color=%23ff8c2f&label=Discord&logo=discord&logoColor=%23ff8c2f&style=for-the-badge)](https://discord.gg/qWPbc8R)\r\n\r\n## For support on the dashboard click: [![Discord](https://img.shields.io/discord/591352397830553601.svg?style=for-the-badge&logo=discord)](https://discord.gg/HM5uUKU)\r\n\r\nEdit: calculations fixed 11.OCT.18\r\n\r\n### For the custom theme/skin check out: [theme.park](https://github.com/gilbN/theme.park)\r\n\r\n## Use the variables to set the UPS datasource ect.\r\n![](https://i.imgur.com/5pZav4a.png) \r\n\r\n### Screenshot:\r\n![](https://i.imgur.com/b1zsrzM.jpg) ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-07-27T23:56:29.000Z","updatedAt":"2019-12-07T10:43:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/7197"},{"rel":"revisions","href":"/dashboards/7197/revisions"},{"rel":"revision","href":"/dashboards/7197/revisions/20"},{"rel":"download","href":"/dashboards/7197/revisions/20/download"},{"rel":"org","href":"/orgs/gilbn"},{"rel":"images","href":"/dashboards/7197/images"},{"rel":"thumbnails","href":"/dashboards/7197/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":8298,"status":1,"statusCode":"active","orgId":199107,"orgSlug":"oklahsam","orgName":"oklahsam","slug":"unraid-ups-dashboard-tr","downloads":314,"revisionId":11379,"revision":1,"name":"Unraid UPS Dashboard TR","description":"https://technicalramblings.com/blog/setting-grafana-influxdb-telegraf-ups-monitoring-unraid/","readme":"Fixed the calculations found in the dashboard from here:\nhttps://technicalramblings.com/blog/setting-grafana-influxdb-telegraf-ups-monitoring-unraid","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-10-11T02:36:42.000Z","updatedAt":"2018-10-11T02:38:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8298"},{"rel":"revisions","href":"/dashboards/8298/revisions"},{"rel":"revision","href":"/dashboards/8298/revisions/1"},{"rel":"download","href":"/dashboards/8298/revisions/1/download"},{"rel":"org","href":"/orgs/oklahsam"},{"rel":"images","href":"/dashboards/8298/images"},{"rel":"thumbnails","href":"/dashboards/8298/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10615,"status":1,"statusCode":"active","orgId":173136,"orgSlug":"gilbn","orgName":"gilbn","slug":"unraid-ups-dashboard-v2-0-tr","downloads":833,"revisionId":18813,"revision":5,"name":"Unraid UPS Dashboard v2.0 TR","description":"https://technicalramblings.com/blog/monitoring-your-ups-stats-and-cost-with-influxdb-and-grafana-on-unraid-2019-edition/","readme":"\r\n\r\n# v2.0 of the Grafana dashboard for displaying UPS stats. [UPS Grafana Guide](https://technicalramblings.com/blog/monitoring-your-ups-stats-and-cost-with-influxdb-and-grafana-on-unraid-2019-edition/) \r\n https://technicalramblings.com/blog/monitoring-your-ups-stats-and-cost-with-influxdb-and-grafana-on-unraid-2019-edition/\r\n## Join the Unraid discord! \r\n\r\n[![Unraid](https://raw.githubusercontent.com/selfhosters/unRAID-CA-templates/master/.github/ISSUE_TEMPLATE/discord_unraid_unraid.png )](https://discord.gg/qWPbc8R)\r\n\r\n[![Discord](https://img.shields.io/discord/641230698166091777?color=%23ff8c2f&label=Discord&logo=discord&logoColor=%23ff8c2f&style=for-the-badge)](https://discord.gg/qWPbc8R)\r\n\r\n## For support on the dashboard click: [![Discord](https://img.shields.io/discord/591352397830553601.svg?style=for-the-badge&logo=discord)](https://discord.gg/HM5uUKU)\r\n\r\n\r\n### For the custom theme/skin check out: [theme.park](https://github.com/gilbN/theme.park)\r\n\r\n## Use the variables to set the UPS datasource ect.\r\n![](https://i.imgur.com/5pZav4a.png) \r\n\r\n### Screenshot:\r\n![](https://i.imgur.com/b1zsrzM.jpg) ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-07-25T20:58:52.000Z","updatedAt":"2023-05-21T10:41:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10615"},{"rel":"revisions","href":"/dashboards/10615/revisions"},{"rel":"revision","href":"/dashboards/10615/revisions/5"},{"rel":"download","href":"/dashboards/10615/revisions/5/download"},{"rel":"org","href":"/orgs/gilbn"},{"rel":"images","href":"/dashboards/10615/images"},{"rel":"thumbnails","href":"/dashboards/10615/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19243,"status":1,"statusCode":"active","orgId":910844,"orgSlug":"toino","orgName":"toino","slug":"unraid-ups-monitoring","downloads":374,"revisionId":29511,"revision":1,"name":"UNRAID UPS Monitoring","description":"UPS monitoring with Prometheus and apcupsd exporter.\r\nCheck this guide to learn how to setup this.\r\ntoino.net/unraid-ups-monitoring-with-prometheus-and-grafana/","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-28T00:22:19.000Z","updatedAt":"2023-07-28T00:30:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19243"},{"rel":"revisions","href":"/dashboards/19243/revisions"},{"rel":"revision","href":"/dashboards/19243/revisions/1"},{"rel":"download","href":"/dashboards/19243/revisions/1/download"},{"rel":"org","href":"/orgs/toino"},{"rel":"images","href":"/dashboards/19243/images"},{"rel":"thumbnails","href":"/dashboards/19243/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19241,"status":1,"statusCode":"active","orgId":700239,"orgSlug":"labor2","orgName":"labor2","slug":"unraid-raspi-opnsense","downloads":268,"revisionId":29509,"revision":1,"name":"Unraid-Raspi-OPNsense","description":"Bockis- Unraid/Raspberry/OPNsense","readme":"Bockis ---- Unraid/Raspi/Opnsense ","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-07-27T20:37:47.000Z","updatedAt":"2023-07-27T21:20:17.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19241"},{"rel":"revisions","href":"/dashboards/19241/revisions"},{"rel":"revision","href":"/dashboards/19241/revisions/1"},{"rel":"download","href":"/dashboards/19241/revisions/1/download"},{"rel":"org","href":"/orgs/labor2"},{"rel":"images","href":"/dashboards/19241/images"},{"rel":"thumbnails","href":"/dashboards/19241/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19824,"status":1,"statusCode":"active","orgId":554219,"orgSlug":"ekintran","orgName":"ekintran","slug":"up-metrics","downloads":432,"revisionId":30448,"revision":1,"name":"Up metrics","description":"test","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-10-21T22:50:21.000Z","updatedAt":"2023-10-21T22:58:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19824"},{"rel":"revisions","href":"/dashboards/19824/revisions"},{"rel":"revision","href":"/dashboards/19824/revisions/1"},{"rel":"download","href":"/dashboards/19824/revisions/1/download"},{"rel":"org","href":"/orgs/ekintran"},{"rel":"images","href":"/dashboards/19824/images"},{"rel":"thumbnails","href":"/dashboards/19824/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19139,"status":1,"statusCode":"active","orgId":896908,"orgSlug":"bhupbound","orgName":"bhupbound","slug":"controlplane-health","downloads":322,"revisionId":29310,"revision":1,"name":"Upbound Space Metrics","description":"Upbound Spaces Metrics","readme":"## Setup\r\n\r\nControl planes are isolated using network policies restricting network traffic to Crossplane and within the Space.  Metrics are collected by Vector.  In order to scrape Vector, Prometheus must be installed in either the `monitoring` or `prometheus` namespace. \r\n\r\nFor example:\r\n```\r\nhelm repo add prometheus-community https://prometheus-community.github.io/helm-charts\r\nhelm repo update\r\nhelm -n monitoring --create-namespace monitoring prometheus-community/prometheus\r\n```\r\n\r\nAfter Prometheus is setup, apply the following service montior:\r\n```\r\nkubectl apply -f -<<EOM\r\n---\r\napiVersion: monitoring.coreos.com/v1\r\nkind: ServiceMonitor\r\nmetadata:\r\n  labels:\r\n    # this is the default label used by the prometheus operator to determine which services\r\n    # to scrape. You may need to adjust labels depending on your installation.\r\n    release: prometheus\r\n  name: kube-state-metrics\r\n  namespace: monitoring\r\nspec:\r\n  endpoints:\r\n  - honorLabels: true\r\n    path: /metrics\r\n    port: http\r\n    scheme: http\r\n    scrapeTimeout: 10s\r\n  namespaceSelector:\r\n    any: true\r\n  selector:\r\n    matchLabels:\r\n      app.kubernetes.io/name: kube-state-metrics\r\n      app.kubernetes.io/component: metrics\r\n      app.kubernetes.io/instance: kube-state-metrics\r\n---\r\napiVersion: monitoring.coreos.com/v1\r\nkind: ServiceMonitor\r\nmetadata:\r\n  labels:\r\n    # this is the default label used by the prometheus operator to determine which services\r\n    # to scrape. You may need to adjust labels depending on your installation.\r\n    release: prometheus\r\n  name: mxp-gateway-metrics\r\n  namespace: monitoring\r\nspec:\r\n  endpoints:\r\n  - honorLabels: true\r\n    path: /metrics\r\n    port: metrics\r\n    scheme: http\r\n    scrapeTimeout: 10s\r\n  - relabelings:\r\n    - action: labeldrop\r\n      regex: pod\r\n    - action: labeldrop\r\n      regex: service\r\n    - action: labeldrop\r\n      regex: instance\r\n  namespaceSelector:\r\n    any: true\r\n  selector:\r\n    matchLabels:\r\n      app.kubernetes.io/name: mxp-gateway\r\n      vcluster.loft.sh/managed-by: vcluster\r\n      vcluster.loft.sh/namespace: upbound-system\r\n---\r\napiVersion: monitoring.coreos.com/v1\r\nkind: ServiceMonitor\r\nmetadata:\r\n  labels:\r\n    # this is the default label used by the prometheus operator to determine which services\r\n    # to scrape. You may need to adjust labels depending on your installation.\r\n    release: prometheus\r\n  name: space-metrics\r\n  namespace: monitoring\r\nspec:\r\n  endpoints:\r\n  - honorLabels: true\r\n    path: /metrics\r\n    port: metrics\r\n    scheme: http\r\n    scrapeTimeout: 10s\r\n  - relabelings:\r\n    - action: labeldrop\r\n      regex: pod\r\n    - action: labeldrop\r\n      regex: service\r\n    - action: labeldrop\r\n      regex: instance\r\n  namespaceSelector:\r\n    any: true\r\n  selector:\r\n    matchLabels:\r\n      app.kubernetes.io/name: otlp-collector\r\n      vcluster.loft.sh/managed-by: vcluster\r\n      vcluster.loft.sh/namespace: upbound-system\r\nEOM\r\n```","collectorType":"Other","collectorConfig":"","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-10T15:20:21.000Z","updatedAt":"2023-08-16T20:29:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19139"},{"rel":"revisions","href":"/dashboards/19139/revisions"},{"rel":"revision","href":"/dashboards/19139/revisions/1"},{"rel":"download","href":"/dashboards/19139/revisions/1/download"},{"rel":"org","href":"/orgs/bhupbound"},{"rel":"images","href":"/dashboards/19139/images"},{"rel":"thumbnails","href":"/dashboards/19139/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10261,"status":1,"statusCode":"active","orgId":253859,"orgSlug":"nlegall","orgName":"nlegall","slug":"onduleur","downloads":360,"revisionId":14349,"revision":1,"name":"UPC","description":"Use upsc to get value from a UPC and show the value in a Grafana dashboard","readme":"# upcs.sh\r\n\r\n```bash\r\n#!/bin/sh\r\n\r\ncharge=$(upsc eaton@127.0.0.1 2>/dev/null| grep 'battery.charge:' | cut -d ' ' -f 2)\r\nload=$(upsc eaton@127.0.0.1 2>/dev/null| grep 'ups.load:' | cut -d ' ' -f2)\r\npower=$(upsc eaton@127.0.0.1 2>/dev/null| grep 'ups.power:' | cut -d ' ' -f2)\r\nfrequency=$(upsc eaton@127.0.0.1 2>/dev/null| grep 'output.frequency:' | cut -d ' ' -f2)\r\nvoltage=$(upsc eaton@127.0.0.1 2>/dev/null| grep 'output.voltage:' | cut -d ' ' -f2)\r\ninput_frequency=$(upsc eaton@127.0.0.1 2>/dev/null| grep 'input.frequency:' | cut -d ' ' -f2)\r\ninput_voltage=$(upsc eaton@127.0.0.1 2>/dev/null| grep 'input.voltage:' | cut -d ' ' -f2)\r\nrealpower=$(upsc eaton@127.0.0.1 2>/dev/null| grep 'ups.realpower:' | cut -d ' ' -f2)\r\n\r\necho \"ups,ups_name=eaton,host=127.0.0.1 charge=$charge,load=$load,power=$power,frequency=$frequency,voltage=$voltage,realpower=$realpower,input_frequency=$input_frequency,input_voltage=$input_voltage\"\r\n```\r\n\r\n# telegraf\r\n\r\n```\r\n[[inputs.exec]]\r\n        interval = \"60s\"\r\n        commands = [\r\n                \"/opt/ups.sh\"\r\n        ]\r\n\r\n        data_format = \"influx\"\r\n```","collectorType":"Telegraf","collectorConfig":"```\r\n[[inputs.exec]]\r\n        interval = \"60s\"\r\n        commands = [\r\n                \"/opt/ups.sh\"\r\n        ]\r\n\r\n        data_format = \"influx\"\r\n```","collectorPluginList":"exec","datasource":"InfluxDB","privacy":"public","createdAt":"2019-05-26T18:19:20.000Z","updatedAt":"2019-05-26T18:24:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10261"},{"rel":"revisions","href":"/dashboards/10261/revisions"},{"rel":"revision","href":"/dashboards/10261/revisions/1"},{"rel":"download","href":"/dashboards/10261/revisions/1/download"},{"rel":"org","href":"/orgs/nlegall"},{"rel":"images","href":"/dashboards/10261/images"},{"rel":"thumbnails","href":"/dashboards/10261/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21719,"status":1,"statusCode":"active","orgId":1005674,"orgSlug":"flyteorg","orgName":"flyteorg","slug":"flyte-propeller-dashboard-via-prometheus","downloads":441,"revisionId":33981,"revision":1,"name":"UPDATED - Flyte Propeller Dashboard (via Prometheus)","description":"Flyte Propeller Dashboard. This is great for monitoring FlytePropeller / Flyte data plane deployments. This is mostly useful for the Flyte deployment maintainer","readme":"Check out the Flyte monitoring docs for additional setup instructions: https://docs.flyte.org/en/latest/deployment/configuration/monitoring.html\r\nPlease report any bugs by filing an issue on the Flyte repo: https://github.com/flyteorg/flyte/\r\nQuestions? Join us on Slack: https://slack.flyte.org","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-08-16T20:06:54.000Z","updatedAt":"2024-12-04T10:52:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21719"},{"rel":"revisions","href":"/dashboards/21719/revisions"},{"rel":"revision","href":"/dashboards/21719/revisions/1"},{"rel":"download","href":"/dashboards/21719/revisions/1/download"},{"rel":"org","href":"/orgs/flyteorg"},{"rel":"images","href":"/dashboards/21719/images"},{"rel":"thumbnails","href":"/dashboards/21719/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22146,"status":1,"statusCode":"active","orgId":1005674,"orgSlug":"flyteorg","orgName":"flyteorg","slug":"flyte-user-dashboard-via-prometheus","downloads":644,"revisionId":34754,"revision":1,"name":"UPDATED - Flyte User Dashboard (via Prometheus)","description":"Flyte User Dashboard. It's designed to give an overview of execution status and resource consumption.","readme":"This specific dashboard has a dependency on kube-state-metrics (https://github.com/kubernetes/kube-state-metrics).\r\n\r\n- Check out the Flyte monitoring docs for additional setup instructions: https://docs.flyte.org/en/latest/deployment/configuration/monitoring.html\r\n- Please report any bugs by filing an issue on the Flyte repo: https://github.com/flyteorg/flyte/\r\n- Questions? Join us on Slack: https://slack.flyte.org\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-10-22T21:15:59.000Z","updatedAt":"2024-12-04T10:53:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22146"},{"rel":"revisions","href":"/dashboards/22146/revisions"},{"rel":"revision","href":"/dashboards/22146/revisions/1"},{"rel":"download","href":"/dashboards/22146/revisions/1/download"},{"rel":"org","href":"/orgs/flyteorg"},{"rel":"images","href":"/dashboards/22146/images"},{"rel":"thumbnails","href":"/dashboards/22146/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21720,"status":1,"statusCode":"active","orgId":1005674,"orgSlug":"flyteorg","orgName":"flyteorg","slug":"flyteadmin-dashboard-via-prometheus","downloads":417,"revisionId":33982,"revision":1,"name":"UPDATED - FlyteAdmin Dashboard (via Prometheus)","description":"FlyteAdmin/Control Plane Dashboard. This is great for monitoring FlyteAdmin and the Service API.","readme":"Check out the Flyte monitoring docs for additional setup instructions: https://docs.flyte.org/en/latest/deployment/configuration/monitoring.html\r\nPlease report any bugs by filing an issue on the Flyte repo: https://github.com/flyteorg/flyte/\r\nQuestions? Join us on Slack: https://slack.flyte.org","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-08-16T20:13:38.000Z","updatedAt":"2024-12-04T10:53:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21720"},{"rel":"revisions","href":"/dashboards/21720/revisions"},{"rel":"revision","href":"/dashboards/21720/revisions/1"},{"rel":"download","href":"/dashboards/21720/revisions/1/download"},{"rel":"org","href":"/orgs/flyteorg"},{"rel":"images","href":"/dashboards/21720/images"},{"rel":"thumbnails","href":"/dashboards/21720/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14429,"status":1,"statusCode":"active","orgId":418140,"orgSlug":"phanle1010","orgName":"phanle1010","slug":"upgrade-responder","downloads":10069,"revisionId":21333,"revision":5,"name":"Upgrade Responder","description":"The dashboard for the Upgrade Responder project","readme":"This is the dashboard for the Upgrade Responder project. \n\n\nUpgrade Responder provides a way for the applications to know if there is a new version available. It will also keep a record of how many requests have been sent to the Upgrade Responder server per hour, to estimate how many instances of applications are running there.\n\nUpgrade Responder server doesn't store any information that can be potentially used to identify the client that makes the request, including IP address.\n\nSee [https://github.com/longhorn/upgrade-responder](https://github.com/longhorn/upgrade-responder) for the documentation. ","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-05-13T00:54:19.000Z","updatedAt":"2021-05-14T00:26:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14429"},{"rel":"revisions","href":"/dashboards/14429/revisions"},{"rel":"revision","href":"/dashboards/14429/revisions/5"},{"rel":"download","href":"/dashboards/14429/revisions/5/download"},{"rel":"org","href":"/orgs/phanle1010"},{"rel":"images","href":"/dashboards/14429/images"},{"rel":"thumbnails","href":"/dashboards/14429/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":4191,"status":1,"statusCode":"active","orgId":109530,"orgSlug":"kulinacs","orgName":"kulinacs","slug":"ups","downloads":586,"revisionId":5652,"revision":1,"name":"UPS","description":"Dashboard for single APC UPS","readme":"Simple Dashboard to view APC UPS statistics. Currently includes:\r\n\r\n* Battery Charge Percent (Graph)\r\n* Time left on battery\r\n* Line Voltage (Graph)\r\n* Load (Graph)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-12-29T21:15:14.000Z","updatedAt":"2017-12-29T21:19:45.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/4191"},{"rel":"revisions","href":"/dashboards/4191/revisions"},{"rel":"revision","href":"/dashboards/4191/revisions/1"},{"rel":"download","href":"/dashboards/4191/revisions/1/download"},{"rel":"org","href":"/orgs/kulinacs"},{"rel":"images","href":"/dashboards/4191/images"},{"rel":"thumbnails","href":"/dashboards/4191/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21665,"status":1,"statusCode":"active","orgId":1192602,"orgSlug":"akirasakamoto","orgName":"akirasakamoto","slug":"ups","downloads":260,"revisionId":33894,"revision":1,"name":"UPS","description":"UPS","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-08-09T03:26:47.000Z","updatedAt":"2024-08-09T03:27:15.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21665"},{"rel":"revisions","href":"/dashboards/21665/revisions"},{"rel":"revision","href":"/dashboards/21665/revisions/1"},{"rel":"download","href":"/dashboards/21665/revisions/1/download"},{"rel":"org","href":"/orgs/akirasakamoto"},{"rel":"images","href":"/dashboards/21665/images"},{"rel":"thumbnails","href":"/dashboards/21665/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23972,"status":1,"statusCode":"active","orgId":1520132,"orgSlug":"fma965","orgName":"fma965","slug":"ups-nut-exporter","downloads":230,"revisionId":38191,"revision":1,"name":"UPS (NUT Exporter)","description":"UPS Monitoring using DRuggeri/nut_exporter\r\nBased on #19308 modified for my needs","readme":"UPS Monitoring using DRuggeri/nut_exporter\r\nBased on [#19308](https://grafana.com/grafana/dashboards/19308-prometheus-nut-exporter-for-druggeri/) modified for my needs","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-08-27T22:05:00.000Z","updatedAt":"2025-08-27T22:05:55.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23972"},{"rel":"revisions","href":"/dashboards/23972/revisions"},{"rel":"revision","href":"/dashboards/23972/revisions/1"},{"rel":"download","href":"/dashboards/23972/revisions/1/download"},{"rel":"org","href":"/orgs/fma965"},{"rel":"images","href":"/dashboards/23972/images"},{"rel":"thumbnails","href":"/dashboards/23972/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5901,"status":1,"statusCode":"active","orgId":144558,"orgSlug":"jforman","orgName":"jforman","slug":"ups-dashboard","downloads":1120,"revisionId":8019,"revision":1,"name":"UPS Dashboard","description":"Dashboard to monitor APC  (Schneider Electric)  UPS Management cards.","readme":"The UPS dashboard shows the following\r\n*  UPS Model\r\n*  UPS and Battery Status\r\n*  Graphs for:\r\n    * Load and Efficiency\r\n    * Run Time Remaining\r\n    * Voltage (both input and output)\r\n    * Battery Charge Capacity\r\n    * Time On Battery\r\n    * Battery Temperature (Celcius)\r\n    * Energy Usage (kWh)\r\n    * Current (Ampere Load)\r\n\r\nAll graphs, where possible, use high precision counters.","collectorType":"Telegraf","collectorConfig":"```\r\n  [[inputs.snmp.field]]\r\n    name = \"hostname\"\r\n    oid = \"RFC1213-MIB::sysName.0\"\r\n    is_tag = true\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"uptime\"\r\n    oid = \"DISMAN-EXPRESSION-MIB::sysUpTimeInstance\"\r\n\r\n  [[inputs.snmp.field]]\r\n    name = \"model\"\r\n    oid = \"PowerNet-MIB::upsBasicIdentModel.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n      name = \"name\"\r\n      oid = \"PowerNet-MIB::upsBasicIdentName.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n      name = \"upsBasicBatteryTimeOnBattery\"\r\n      oid = \"PowerNet-MIB::upsBasicBatteryTimeOnBattery.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n      name = \"upsAdvBatteryRunTimeRemaining\"\r\n      oid = \"PowerNet-MIB::upsAdvBatteryRunTimeRemaining.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n      name = \"upsAdvBatteryReplaceIndicator\"\r\n      oid = \"PowerNet-MIB::upsAdvBatteryReplaceIndicator.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n      name = \"upsHighPrecBatteryCapacity\"\r\n      oid = \"PowerNet-MIB::upsHighPrecBatteryCapacity.0\"\r\n      conversion = \"float(1)\"\r\n\r\n  [[inputs.snmp.field]]\r\n      name = \"upsHighPrecBatteryTemperature\"\r\n      oid = \"PowerNet-MIB::upsHighPrecBatteryTemperature.0\"\r\n      conversion = \"float(1)\"\r\n\r\n  [[inputs.snmp.field]]\r\n      name = \"upsBasicOutputStatus\"\r\n      oid = \"PowerNet-MIB::upsBasicOutputStatus.0\"\r\n\r\n  [[inputs.snmp.field]]\r\n      name = \"upsHighPrecOutputLoad\"\r\n      oid = \"PowerNet-MIB::upsHighPrecOutputLoad.0\"\r\n      conversion = \"float(1)\"\r\n\r\n  [[inputs.snmp.field]]\r\n      name = \"upsHighPrecOutputEfficiency\"\r\n      oid = \"PowerNet-MIB::upsHighPrecOutputEfficiency.0\"\r\n      conversion = \"float(1)\"\r\n\r\n  [[inputs.snmp.field]]\r\n      name = \"upsHighPrecOutputVoltage\"\r\n      oid = \"PowerNet-MIB::upsHighPrecOutputVoltage.0\"\r\n      conversion = \"float(1)\"\r\n\r\n  [[inputs.snmp.field]]\r\n      name = \"upsHighPrecInputLineVoltage\"\r\n      oid = \"PowerNet-MIB::upsHighPrecInputLineVoltage.0\"\r\n      conversion = \"float(1)\"\r\n\r\n  [[inputs.snmp.field]]\r\n      name = \"upsHighPrecOutputCurrent\"\r\n      oid = \"PowerNet-MIB::upsHighPrecOutputCurrent.0\"\r\n      conversion = \"float(1)\"\r\n\r\n  [[inputs.snmp.field]]\r\n      name = \"upsHighPrecOutputEnergyUsage\"\r\n      oid = \"PowerNet-MIB::upsHighPrecOutputEnergyUsage.0\"\r\n      conversion = \"float(1)\"\r\n\r\n\r\n  # IF-MIB::ifTable contains counters on input and output traffic as well as errors and discards.\r\n  [[inputs.snmp.table]]\r\n    name = \"interface\"\r\n    inherit_tags = [ \"hostname\" ]\r\n    oid = \"IF-MIB::ifTable\"\r\n\r\n    # Interface tag - used to identify interface in metrics database\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifDescr\"\r\n      oid = \"IF-MIB::ifDescr\"\r\n      is_tag = true\r\n\r\n  # IF-MIB::ifXTable contains newer High Capacity (HC) counters that do not overflow as fast for a few of the ifTable counters\r\n  [[inputs.snmp.table]]\r\n    name = \"interface\"\r\n    inherit_tags = [ \"hostname\" ]\r\n    oid = \"IF-MIB::ifXTable\"\r\n\r\n    # Interface tag - used to identify interface in metrics database\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifDescr\"\r\n      oid = \"IF-MIB::ifDescr\"\r\n      is_tag = true\r\n\r\n  # EtherLike-MIB::dot3StatsTable contains detailed ethernet-level information about what kind of errors have been logged on an interface (such as FCS error, frame too long, etc)\r\n  [[inputs.snmp.table]]\r\n    name = \"interface\"\r\n    inherit_tags = [ \"hostname\" ]\r\n    oid = \"EtherLike-MIB::dot3StatsTable\"\r\n\r\n    # Interface tag - used to identify interface in metrics database\r\n    [[inputs.snmp.table.field]]\r\n      name = \"ifDescr\"\r\n      oid = \"IF-MIB::ifDescr\"\r\n      is_tag = true\r\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-05-02T10:29:44.000Z","updatedAt":"2018-05-03T01:30:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":2,"links":[{"rel":"self","href":"/dashboards/5901"},{"rel":"revisions","href":"/dashboards/5901/revisions"},{"rel":"revision","href":"/dashboards/5901/revisions/1"},{"rel":"download","href":"/dashboards/5901/revisions/1/download"},{"rel":"org","href":"/orgs/jforman"},{"rel":"images","href":"/dashboards/5901/images"},{"rel":"thumbnails","href":"/dashboards/5901/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14389,"status":1,"statusCode":"active","orgId":351080,"orgSlug":"estevamdf2","orgName":"estevamdf2","slug":"ups-dashboard","downloads":520,"revisionId":21244,"revision":1,"name":"UPS Dashboard","description":"Panel for nobreak with the components output current, output frequency, output load, output_voltage input frequency and battery autonomy.","readme":"Dashboard for nobreaks (UPS). It's contains the following metrics:\n- Gauge graphs for: input voltages 1, 2, 3, outputs voltages 1, 2, 3 and UPS Battery Capacity\n- Graph for: outputcurrent 1, 2, 3\n- Bar gauge for: outputs loads 1, 2, 3\n- Stat for: Input and output frequency and Battery Autonomy\n- Text: for destak the name of your equipament.\n\n**Important**\n\nIt's available the **zabbix** template what is applicable for this dashboard. Check in: https://share.zabbix.com/power-ups/template-ups-abb\nName of template. Template UPS ABB.\n\nAfter you import in your Zabbix this template and register the equipament. Back to grafana to fill the fields for loading correct this dashboard\n\nChange data for the fields:\n\n```json\n\"group\":{\n    \"filter\":\"Zabbix/groupHosts\"\n}\n```\n\nchange for the name of your Zabbix Host group\n\n```json\n\"host\":{\n    \"filter\":\"My-ups\"\n}\n```\nchange for the name of your Zabbix host.\n\nAfter changes your dashboard is done for use.\n\n- Zabbix version template: 5.0.5\n- Grafana version: 7.4.3\n\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource, PostgreSQL","privacy":"public","createdAt":"2021-05-07T20:29:16.000Z","updatedAt":"2021-05-07T20:44:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14389"},{"rel":"revisions","href":"/dashboards/14389/revisions"},{"rel":"revision","href":"/dashboards/14389/revisions/1"},{"rel":"download","href":"/dashboards/14389/revisions/1/download"},{"rel":"org","href":"/orgs/estevamdf2"},{"rel":"images","href":"/dashboards/14389/images"},{"rel":"thumbnails","href":"/dashboards/14389/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource","postgres"]},{"id":20547,"status":1,"statusCode":"active","orgId":1059748,"orgSlug":"freeskier93","orgName":"freeskier93","slug":"ups-data","downloads":298,"revisionId":31756,"revision":3,"name":"UPS Data","description":"","readme":"This dashboard is best used with apcupsd2influx2.x docker container to export the data to InfluxDB https://github.com/freeskier93/apcupsd2influx2.x","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-02-22T20:35:51.000Z","updatedAt":"2024-02-23T19:17:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20547"},{"rel":"revisions","href":"/dashboards/20547/revisions"},{"rel":"revision","href":"/dashboards/20547/revisions/3"},{"rel":"download","href":"/dashboards/20547/revisions/3/download"},{"rel":"org","href":"/orgs/freeskier93"},{"rel":"images","href":"/dashboards/20547/images"},{"rel":"thumbnails","href":"/dashboards/20547/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":25293,"status":1,"statusCode":"active","orgId":1765058,"orgSlug":"tianyulu","orgName":"tianyulu","slug":"ups-monitor-rfc-1628-ups-mib","downloads":5,"revisionId":40742,"revision":1,"name":"UPS Monitor (RFC 1628 UPS-MIB)","description":"Generic UPS monitoring dashboard based on IETF RFC 1628 UPS-MIB, compatible with any UPS via Prometheus snmp_exporter. Author: lutianyu2001.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-05-13T04:55:48.000Z","updatedAt":"2026-05-13T21:53:31.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25293"},{"rel":"revisions","href":"/dashboards/25293/revisions"},{"rel":"revision","href":"/dashboards/25293/revisions/1"},{"rel":"download","href":"/dashboards/25293/revisions/1/download"},{"rel":"org","href":"/orgs/tianyulu"},{"rel":"images","href":"/dashboards/25293/images"},{"rel":"thumbnails","href":"/dashboards/25293/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10077,"status":1,"statusCode":"active","orgId":231237,"orgSlug":"xander1402","orgName":"xander1402","slug":"ups-overview","downloads":624,"revisionId":14098,"revision":1,"name":"UPS Overview","description":"General information for any UPS","readme":"","collectorType":"Telegraf","collectorConfig":"[[inputs.snmp]]\n\ninterval = \"60s\"\n\nagents = [ \"ip:161\" ]\n\nversion = 3\n\nsec_name = \"sec_name\"\n\nauth_protocol = \"SHA\"\n\nauth_password = \"auth_password\"\n\nsec_level = \"authPriv\"\n\ncontext_name = \"\"\n\npriv_protocol = \"AES\"\n\npriv_password = \"priv_password\"\n\nname = \"smartups_rt5000xl\"\n\n[[inputs.snmp.field]]\n\nname = \"upsHighPrecBatteryCapacity\"\n\noid = \".1.3.6.1.4.1.318.1.1.1.2.3.1.0\"\n\n[[inputs.snmp.field]]\n\nname = \"upsAdvReplaceBatteryIndicator\"\n\noid = \".1.3.6.1.4.1.318.1.1.1.2.2.4.0\"\n\n[[inputs.snmp.field]]\n\nname = \"upsBasicBatteryStatus\"\n\noid = \".1.3.6.1.4.1.318.1.1.1.2.1.1.0\"\n\n[[inputs.snmp.field]]\n\nname = \"upsHighPrecBatteryTemperature\"\n\noid = \".1.3.6.1.4.1.318.1.1.1.2.3.2.0\"\n\n[[inputs.snmp.field]]\n\nname = \"upsAdvRunTimeRemaining\"\n\noid = \".1.3.6.1.4.1.318.1.1.1.2.2.3.0\"\n\n[[inputs.snmp.field]]\n\nname = \"upsBasicBatteryTimeOnBattery\"\n\noid = \".1.3.6.1.4.1.318.1.1.1.2.1.2.0\"\n\n[[inputs.snmp.field]]\n\nname = \"upsHighPrecBatteryActualVoltage\"\n\noid = \".1.3.6.1.4.1.318.1.1.1.2.3.4.0\"\n\n[[inputs.snmp.field]]\n\nname = \"upsBasicOutputStatus\"\n\noid = \".1.3.6.1.4.1.318.1.1.1.4.1.1.0\"\n\nconversion = \"int\"\n\t\n[[inputs.snmp.field]]\n\nname = \"upsBasicBatteryTimeOnBattery\"\n\noid = \".1.3.6.1.4.1.318.1.1.1.2.1.2.0\"\n\n[[inputs.snmp.field]]\n\nname = \"uioSensorStatusTemperatureDegC.2.1\"\n\noid = \".1.3.6.1.4.1.318.1.1.25.1.2.1.6.2.1\"\n\n[[inputs.snmp.field]]\n\nname = \"upsHighPrecInputFrequency\"\n\noid = \".1.3.6.1.4.1.318.1.1.1.3.2.4.0\"\n\n[[inputs.snmp.field]]\n\nname = \"upsHighPrecInputLineVoltage\"\n\noid = \".1.3.6.1.4.1.318.1.1.1.3.3.1.0\"\n\n[[inputs.snmp.field]]\n\nname = \"upsHighPrecOutputCurrent\"\n\noid = \".1.3.6.1.4.1.318.1.1.1.4.3.4.0\"\n\n[[inputs.snmp.field]]\n\nname = \"upsHighPrecOutputFrequency\"\noid = \".1.3.6.1.4.1.318.1.1.1.4.3.2.0\"\n\n[[inputs.snmp.field]]\n\nname = \"upsHighPrecOutputLoad\"\n\noid = \".1.3.6.1.4.1.318.1.1.1.4.3.3.0\"\n\n[[inputs.snmp.field]]\n\nname = \"upsHighPrecOutputVoltage\"\n\noid = \".1.3.6.1.4.1.318.1.1.1.4.3.1.0\"","collectorPluginList":"snmp","datasource":"InfluxDB","privacy":"public","createdAt":"2019-04-19T15:53:50.000Z","updatedAt":"2019-04-19T16:13:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10077"},{"rel":"revisions","href":"/dashboards/10077/revisions"},{"rel":"revision","href":"/dashboards/10077/revisions/1"},{"rel":"download","href":"/dashboards/10077/revisions/1/download"},{"rel":"org","href":"/orgs/xander1402"},{"rel":"images","href":"/dashboards/10077/images"},{"rel":"thumbnails","href":"/dashboards/10077/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17643,"status":1,"statusCode":"active","orgId":762886,"orgSlug":"druggeri","orgName":"druggeri","slug":"ups-statistics","downloads":291,"revisionId":27102,"revision":1,"name":"UPS statistics","description":"Simple and basic dashboard to display nut_exporter metrics.","readme":"Simple and basic dashboard to display [nut_exporter](https://github.com/DRuggeri/nut_exporter) metrics. Configured for 120v 60Hz (North America) ranges for voltages. Supports multiple UPS devices by examining the `ups` label values of `network_ups_tools_device_info`.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-12-17T14:53:57.000Z","updatedAt":"2022-12-17T15:05:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17643"},{"rel":"revisions","href":"/dashboards/17643/revisions"},{"rel":"revision","href":"/dashboards/17643/revisions/1"},{"rel":"download","href":"/dashboards/17643/revisions/1/download"},{"rel":"org","href":"/orgs/druggeri"},{"rel":"images","href":"/dashboards/17643/images"},{"rel":"thumbnails","href":"/dashboards/17643/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23699,"status":1,"statusCode":"active","orgId":567535,"orgSlug":"eoleedi","orgName":"eoleedi","slug":"ups-statistics","downloads":187,"revisionId":37712,"revision":1,"name":"UPS Statistics for Nut Exporter","description":"A more compact dashboard for DRuggeri's nut_exporter","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-07-13T11:54:00.000Z","updatedAt":"2025-07-13T11:57:11.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23699"},{"rel":"revisions","href":"/dashboards/23699/revisions"},{"rel":"revision","href":"/dashboards/23699/revisions/1"},{"rel":"download","href":"/dashboards/23699/revisions/1/download"},{"rel":"org","href":"/orgs/eoleedi"},{"rel":"images","href":"/dashboards/23699/images"},{"rel":"thumbnails","href":"/dashboards/23699/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18035,"status":1,"statusCode":"active","orgId":606910,"orgSlug":"lightftso","orgName":"lightftso","slug":"ups-status","downloads":286,"revisionId":27692,"revision":1,"name":"UPS Status","description":"CyberPower UPS Status Dashboard. Using the Prometheus exporter by Mike Shoup","readme":"To use this dashboard, you need to install PowerPanel Personal by CyberPower from: https://www.cyberpowersystems.com/product/software/power-panel-personal/powerpanel-for-linux/ \r\nAnd then configure the Prometheus exporter byt Mike Shoup from https://gitlab.com/shouptech/cyberpower_exporter\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-03T22:40:11.000Z","updatedAt":"2023-02-03T22:48:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18035"},{"rel":"revisions","href":"/dashboards/18035/revisions"},{"rel":"revision","href":"/dashboards/18035/revisions/1"},{"rel":"download","href":"/dashboards/18035/revisions/1/download"},{"rel":"org","href":"/orgs/lightftso"},{"rel":"images","href":"/dashboards/18035/images"},{"rel":"thumbnails","href":"/dashboards/18035/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8043,"status":1,"statusCode":"active","orgId":30004,"orgSlug":"jporven","orgName":"Joelsy Porven Rubier","slug":"symetra-three-phase-80k","downloads":423,"revisionId":10959,"revision":3,"name":"UPS Symetra Three Phase 80K","description":"UPS APC Symetra Three Phase 80K","readme":"","collectorType":"Telegraf","collectorConfig":"       #Telegraf snmp plugin configuration \r\n    [[inputs.snmp.field]]\r\n     name = \"UPSType\"\r\n     oid = \"PowerNet-MIB::upsBasicIdentModel.0\"\r\n    [[inputs.snmp.field]]\r\n     name = \"UPSName\"\r\n     oid = \"PowerNet-MIB::upsBasicIdentName.0\"\r\n    [[inputs.snmp.field]]\r\n     name = \"BatteryCapacity\"\r\n     oid = \"PowerNet-MIB::upsAdvBatteryCapacity.0\"\r\n    [[inputs.snmp.field]]\r\n     name = \"OutputLoad\"\r\n     oid = \"PowerNet-MIB::upsAdvOutputLoad.0\"\r\n    [[inputs.snmp.field]]\r\n     name = \"Redundancy\"\r\n     oid = \"PowerNet-MIB::upsAdvOutputRedundancy.0\"\r\n    [[inputs.snmp.field]]\r\n     name = \"KVACapacity\"\r\n     oid = \"PowerNet-MIB::upsAdvOutputKVACapacity.0\"\r\n    [[inputs.snmp.table]]\r\n      name = \"Output_by_Phase\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"OutputCurrent\"\r\n      oid = \"PowerNet-MIB::upsPhaseOutputCurrent.1.1\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"OutputVoltage\"\r\n      oid = \"PowerNet-MIB::upsPhaseOutputVoltage.1.1\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"OutputPercentPower\"\r\n      oid = \"PowerNet-MIB::upsPhaseOutputPercentPower.1.1\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"OutputPercentLoad\"\r\n      oid = \"PowerNet-MIB::upsPhaseOutputPercentLoad.1.1\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"OutputLoad\"\r\n      oid = \"PowerNet-MIB::upsPhaseOutputLoad.1.1\"\r\n    [[inputs.snmp.table.field]]\r\n      name = \"Phase\"\r\n      oid = \"PowerNet-MIB::upsPhaseInputPhaseIndex.1.1\"\r\n      is_tag = true\r\n\r\n    [[inputs.snmp.table]]\r\n     name = \"Input_by_Phase\"\r\n    [[inputs.snmp.table.field]]\r\n     name = \"InputCurrent\"\r\n     oid = \"PowerNet-MIB::upsPhaseInputCurrent.1.1\"\r\n\t[[inputs.snmp.table.field]]\r\n     name = \"InputVoltage\"\r\n     oid = \"PowerNet-MIB::upsPhaseInputVoltage.1.1\"\r\n    [[inputs.snmp.table.field]]\r\n     name = \"Phase\"\r\n     oid = \"PowerNet-MIB::upsPhaseOutputPhaseIndex.1.1\"\r\n     is_tag = true\r\n  \r\n    #Battery\r\n    [[inputs.snmp.field]]\r\n     name = \"BatteryStatus\"\r\n     oid = \"PowerNet-MIB::upsBasicBatteryStatus.0\"\r\n    [[inputs.snmp.field]]\r\n     name = \"TimeOnBattery\"\r\n     oid = \"PowerNet-MIB::upsBasicBatteryTimeOnBattery.0\"\r\n    [[inputs.snmp.field]]\r\n     name = \"BatteryTimeRemaining\"\r\n     oid = \"PowerNet-MIB::upsAdvBatteryRunTimeRemaining.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n     name = \"BatteryTemp\"\r\n     oid = \"PowerNet-MIB::upsHighPrecBatteryTemperature.0\"\r\n\r\n    [[inputs.snmp.field]]\r\n     name = \"Frecuency\"\r\n     oid = \"PowerNet-MIB::upsPhaseInputFrequency.1\"\r\n\r\n    [[inputs.snmp.field]]\r\n     name = \"FailCause\"\r\n     oid = 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visualize the metrics from HTTP endpoints in [Uptime Kuma](https://github.com/louislam/uptime-kuma)\r\n\r\nImproved by https://github.com/EliottGoye","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-05-04T14:07:14.000Z","updatedAt":"2023-05-04T14:11:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18667"},{"rel":"revisions","href":"/dashboards/18667/revisions"},{"rel":"revision","href":"/dashboards/18667/revisions/1"},{"rel":"download","href":"/dashboards/18667/revisions/1/download"},{"rel":"org","href":"/orgs/eliottgoye"},{"rel":"images","href":"/dashboards/18667/images"},{"rel":"thumbnails","href":"/dashboards/18667/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23610,"status":1,"statusCode":"active","orgId":1391169,"orgSlug":"dbeg","orgName":"dbeg","slug":"uptimekuma","downloads":332,"revisionId":37593,"revision":1,"name":"Uptime Kuma [Flux]","description":"Monitor all of your Uptime Kuma status information within an easily digestible Grafana Dashboard!","readme":"This dashboard displays metrics information for [Uptime Kuma](https://github.com/louislam/uptime-kuma). This dashboard relies upon the [official Prometheus metrics resource](https://github.com/louislam/uptime-kuma/wiki/Prometheus-Integration), but simply ingests this resource via an InfluxDB Scraper.\r\n\r\nThe setup here is relatively simple:\r\n\r\n1. Create a bucket within InfluxDB (v2 was used when making this dashboard)\r\n1. Create a scraper for your Uptime Kuma metrics within InfluxDB (`https://<uptimekuma>/metrics`*)\r\n1. Import this dashboard template\r\n1. Select your bucket from the dashboard `Bucket` variable\r\n\r\n*Note that by default Uptime Kuma requires authentication in it's metrics resource. InfluxDB scrapers do not yet support any additional request headers or auth schemes. A simple remedy here is to utilize something like a reverse proxy, whereby a new route is defined that proxies to `https://<uptimekuma>/metrics` - this approach was used when making this dashboard (e.g. `https://<uptimekuma>/metrics-noauth`)\r\n\r\nAside from Uptime Kuma version information, monitor status, and monitor latency - certificate information is also available via metrics. Note that I don't have a personal need for this metrics information, but this dashboard could easily be supplemented to track those additional data.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-06-26T20:38:10.000Z","updatedAt":"2025-06-27T13:14:13.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23610"},{"rel":"revisions","href":"/dashboards/23610/revisions"},{"rel":"revision","href":"/dashboards/23610/revisions/1"},{"rel":"download","href":"/dashboards/23610/revisions/1/download"},{"rel":"org","href":"/orgs/dbeg"},{"rel":"images","href":"/dashboards/23610/images"},{"rel":"thumbnails","href":"/dashboards/23610/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":25062,"status":1,"statusCode":"active","orgId":1709879,"orgSlug":"flexi","orgName":"flexi","slug":"uptime-monitor","downloads":144,"revisionId":40368,"revision":3,"name":"Uptime Monitor","description":"Monitor dashboard for Uptime Kuma / Prometheus metrics with domain-level filtering","readme":"# Uptime Monitor\r\n\r\nGrafana dashboard for [Uptime Kuma](https://github.com/louislam/uptime-kuma) with Prometheus/Mimir — providing a real-time overview of monitor health, response times, SSL certificates, and uptime ratios with domain-level filtering.\r\n\r\n## Features\r\n\r\n- **Overview stat bar** — Total, UP, DOWN, Certs Expiring, Invalid Certs, Avg Uptime\r\n- **Monitor Status Table** — one row per monitor with Status, Response Time, Cert Days Remaining, Cert Valid, and Uptime Ratio columns; sorted by most urgent certificate first\r\n- **Status Timeline** — colour-coded UP/DOWN/PENDING/MAINTENANCE history per monitor\r\n- **Response Time** — live time series and per-monitor bar gauge\r\n- **Uptime** — bar gauge and historical time series per monitor\r\n- **SSL Certificates** — days remaining and validity bar gauges\r\n- **Monitor Groups** — uptime and response time for Uptime Kuma group monitors\r\n\r\n## Variables\r\n\r\n| Variable | Description | Default |\r\n|---|---|---|\r\n| `domain_filter` | Filter by domain (dynamically fetched via `label_values`) | All |\r\n| `uptime_window` | Uptime/response time window: `1d`, `30d`, `365d` | `30d` |\r\n| `threshold_cert_days` | Cert expiry warning threshold in days | `3` |\r\n\r\n## Requirements\r\n\r\n- Uptime Kuma with Prometheus endpoint enabled\r\n- Mimir or Prometheus scraping Uptime Kuma","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-03-24T22:06:32.000Z","updatedAt":"2026-04-02T13:53:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25062"},{"rel":"revisions","href":"/dashboards/25062/revisions"},{"rel":"revision","href":"/dashboards/25062/revisions/3"},{"rel":"download","href":"/dashboards/25062/revisions/3/download"},{"rel":"org","href":"/orgs/flexi"},{"rel":"images","href":"/dashboards/25062/images"},{"rel":"thumbnails","href":"/dashboards/25062/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19303,"status":1,"statusCode":"active","orgId":917171,"orgSlug":"faroukfallahi","orgName":"faroukfallahi","slug":"uptime-panel","downloads":333,"revisionId":29591,"revision":1,"name":"Uptime panel","description":"test","readme":"tesst","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-08-05T08:31:53.000Z","updatedAt":"2025-03-11T18:03:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19303"},{"rel":"revisions","href":"/dashboards/19303/revisions"},{"rel":"revision","href":"/dashboards/19303/revisions/1"},{"rel":"download","href":"/dashboards/19303/revisions/1/download"},{"rel":"org","href":"/orgs/faroukfallahi"},{"rel":"images","href":"/dashboards/19303/images"},{"rel":"thumbnails","href":"/dashboards/19303/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9955,"status":1,"statusCode":"active","orgId":171192,"orgSlug":"lekpamartin","orgName":"rousseltm","slug":"uptime-robot","downloads":2791,"revisionId":28903,"revision":2,"name":"Uptime robot","description":"Visualise uptimerobot.com infos : down, up, paused monitors, response time, psp, ... ","readme":"It use uptimerobot_exporter to expose infos from your uptimerobot.com account for Prometheus. It provide :\r\n- number of down monitors : down_monitors\r\n- number of up monitors : up_monitors\r\n- number of paused monitors : paused_monitors\r\n- Maximum monitor : monitor_limit\r\n- Monitor status (Monitors) :  name, url, type, [keyword], [keyword_value], interval, status (color change with status)\r\n- Responste time : Minimum (min), maximum (max), average (avg) and current\r\n- public status page (psp)\r\n\r\n## Docker \r\n```bash\r\ndocker run -d --name uptimerobot_exporter -e 'UPTIMEROBOT_API_KEY=your_uptime_robot_api_key' -p 9705:9705 --read-only lekpamartin/uptimerobot_exporter\r\n```\r\n\r\nif you don't use docker run the python script :\r\n```bash\r\npython3 files/exporter.py\r\n```\r\n## Prometheus\r\nAdd the target \r\n\r\n## Grafana \r\n- import dashboard (id 9955)\r\n- Add prometheus datasource (name Prometheus)\r\n\r\n## More informations \r\nhttps://github.com/lekpamartin/uptimerobot_exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2019-03-22T10:05:51.000Z","updatedAt":"2023-05-27T19:40:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9955"},{"rel":"revisions","href":"/dashboards/9955/revisions"},{"rel":"revision","href":"/dashboards/9955/revisions/2"},{"rel":"download","href":"/dashboards/9955/revisions/2/download"},{"rel":"org","href":"/orgs/lekpamartin"},{"rel":"images","href":"/dashboards/9955/images"},{"rel":"thumbnails","href":"/dashboards/9955/thumbnails"}]},{"id":18649,"status":1,"statusCode":"active","orgId":563874,"orgSlug":"betaalbarekralen","orgName":"betaalbarekralen","slug":"uptime-robot","downloads":290,"revisionId":28587,"revision":1,"name":"Uptime robot","description":"Visualise uptimerobot.com infos : down, up, paused monitors, response time, psp, ... 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job_name: 'securepoint_cloud_metrics'\r\n     scrape_interval: 60s # Do not edit\r\n     scrape_timeout: 30s\r\n     metrics_path: /sms-mgt-api/api/2.0/metrics\r\n     scheme: https\r\n     bearer_token: 'eyJhbGciOiJIUzI1NiIsInR5...'\r\n     static_configs:\r\n     - targets:\r\n       - portal.securepoint.cloud\r\n```\r\nThe value of the API-Key (with quotation marks) is entered as bearer_token.\r\n\r\nSource: https://wiki.securepoint.de/USC/Api-Keys","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-18T08:33:28.000Z","updatedAt":"2024-06-20T13:20:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21353"},{"rel":"revisions","href":"/dashboards/21353/revisions"},{"rel":"revision","href":"/dashboards/21353/revisions/1"},{"rel":"download","href":"/dashboards/21353/revisions/1/download"},{"rel":"org","href":"/orgs/securepoint"},{"rel":"images","href":"/dashboards/21353/images"},{"rel":"thumbnails","href":"/dashboards/21353/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21352,"status":1,"statusCode":"active","orgId":1098252,"orgSlug":"securepoint","orgName":"Securepoint GmbH","slug":"usc-monitoring-ii","downloads":249,"revisionId":33229,"revision":1,"name":"USC Monitoring II","description":"Dashboard for visualizing Securepoint UTM API Data.","readme":"Configure Prometheus in the following path:\r\n‘/etc/prometheus/prometheus.yml’.\r\n\r\nContent:\r\n\r\n```\r\nscrape_configs:\r\n   # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.\r\n   - job_name: 'securepoint_cloud_metrics'\r\n     scrape_interval: 60s # Do not edit\r\n     scrape_timeout: 30s\r\n     metrics_path: /sms-mgt-api/api/2.0/metrics\r\n     scheme: https\r\n     bearer_token: 'eyJhbGciOiJIUzI1NiIsInR5...'\r\n     static_configs:\r\n     - targets:\r\n       - portal.securepoint.cloud\r\n```\r\nThe value of the API-Key (with quotation marks) is entered as bearer_token.\r\n\r\nSource: https://wiki.securepoint.de/USC/Api-Keys","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-18T08:12:50.000Z","updatedAt":"2024-06-18T08:22:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21352"},{"rel":"revisions","href":"/dashboards/21352/revisions"},{"rel":"revision","href":"/dashboards/21352/revisions/1"},{"rel":"download","href":"/dashboards/21352/revisions/1/download"},{"rel":"org","href":"/orgs/securepoint"},{"rel":"images","href":"/dashboards/21352/images"},{"rel":"thumbnails","href":"/dashboards/21352/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12135,"status":1,"statusCode":"active","orgId":373923,"orgSlug":"andreynovik1993","orgName":"andreynovik1993","slug":"use-method-cluster","downloads":8968,"revisionId":17269,"revision":1,"name":"USE Method / Cluster","description":"http://www.brendangregg.com/USEmethod/use-linux.html","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-22T08:42:16.000Z","updatedAt":"2020-04-22T08:42:45.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12135"},{"rel":"revisions","href":"/dashboards/12135/revisions"},{"rel":"revision","href":"/dashboards/12135/revisions/1"},{"rel":"download","href":"/dashboards/12135/revisions/1/download"},{"rel":"org","href":"/orgs/andreynovik1993"},{"rel":"images","href":"/dashboards/12135/images"},{"rel":"thumbnails","href":"/dashboards/12135/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12136,"status":1,"statusCode":"active","orgId":373923,"orgSlug":"andreynovik1993","orgName":"andreynovik1993","slug":"use-method-node","downloads":6902,"revisionId":17270,"revision":1,"name":"USE Method / Node","description":"http://www.brendangregg.com/USEmethod/use-linux.html","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-22T08:43:00.000Z","updatedAt":"2020-04-22T08:43:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12136"},{"rel":"revisions","href":"/dashboards/12136/revisions"},{"rel":"revision","href":"/dashboards/12136/revisions/1"},{"rel":"download","href":"/dashboards/12136/revisions/1/download"},{"rel":"org","href":"/orgs/andreynovik1993"},{"rel":"images","href":"/dashboards/12136/images"},{"rel":"thumbnails","href":"/dashboards/12136/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10214,"status":1,"statusCode":"active","orgId":81019,"orgSlug":"gkope","orgName":"Gabriel Kope","slug":"used-wasted-resources","downloads":3588,"revisionId":15293,"revision":4,"name":"Used | Wasted Resources","description":"Dashboard to show the resource requests vs allocatable in the cluster","readme":"This dashboard will show you:\n\n- Cluster Overview\n   - Allocatable vs Requested vs Usage Memory and CPU\n- Namespace Overview\n  - Allocatable vs Requested vs Usage Memory and CPU\n  - Memory/CPU Request vs Memory/CPU Limit vs Memory/CPU live of all namespace pods. \n- App Overview\n  - Allocatable vs Requested vs Usage Memory and CPU by APP\n  - Allocatable vs Requested vs Usage Memory and CPU by pod.\n- Node Overview\n  - Allocatable vs Usage Memory and CPU of all Nodes.\n  - Allocatable vs Usage Memory and CPU of a single Node.\n\nTo use this app you must have configured in your cluster:\n\n- Kubernetes (v1.14.1)\n- Prometheus (v2.12.0)\n- Kube State Metrics (v1.8.0)\n- Metrics Server Exporter (v0.0.4) https://github.com/grupozap/metrics-server-exporter\n\nYour Prometheus scrap config for `kube-state-metrics` and `metrics-server-exporter` should be like this:\n(in my example, this scraps all services from cluster with prometheus label `scrap: true`)\n```\n- job_name: 'kubernetes-service-endpoints'\n  kubernetes_sd_configs:\n  - role: endpoints\n  relabel_configs:\n  - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape]\n    action: keep\n    regex: true\n  - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scheme]\n    action: replace\n    target_label: __scheme__\n    regex: (https?)\n  - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_path]\n    action: replace\n    target_label: __metrics_path__\n    regex: (.+)\n  - source_labels: [__address__, __meta_kubernetes_service_annotation_prometheus_io_port]\n    action: replace\n    target_label: __address__\n    regex: ([^:]+)(?::\\d+)?;(\\d+)\n    replacement: $1:$2\n  - action: labelmap\n    regex: __meta_kubernetes_service_label_(.+)\n  - source_labels: [__meta_kubernetes_namespace]\n    action: replace\n    target_label: kubernetes_namespace\n  - source_labels: [__meta_kubernetes_service_name]\n    action: replace\n    target_label: kubernetes_name\n  - source_labels: [__meta_kubernetes_pod_name]\n    action: replace\n    target_label: kubernetes_pod_name\n  - source_labels: [__meta_kubernetes_pod_name]\n    action: replace\n    target_label: pod\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-05-16T15:20:53.000Z","updatedAt":"2020-05-29T20:18:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10214"},{"rel":"revisions","href":"/dashboards/10214/revisions"},{"rel":"revision","href":"/dashboards/10214/revisions/4"},{"rel":"download","href":"/dashboards/10214/revisions/4/download"},{"rel":"org","href":"/orgs/gkope"},{"rel":"images","href":"/dashboards/10214/images"},{"rel":"thumbnails","href":"/dashboards/10214/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16379,"status":1,"statusCode":"active","orgId":501306,"orgSlug":"lilamou06","orgName":"lilamou06","slug":"used-wasted-resources","downloads":315,"revisionId":24959,"revision":1,"name":"Used | Wasted Resources","description":"Dashboard to show the resource requests vs allocatable in the cluster","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-06-02T08:19:11.000Z","updatedAt":"2022-06-02T08:19:19.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16379"},{"rel":"revisions","href":"/dashboards/16379/revisions"},{"rel":"revision","href":"/dashboards/16379/revisions/1"},{"rel":"download","href":"/dashboards/16379/revisions/1/download"},{"rel":"org","href":"/orgs/lilamou06"},{"rel":"images","href":"/dashboards/16379/images"},{"rel":"thumbnails","href":"/dashboards/16379/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18394,"status":1,"statusCode":"active","orgId":826362,"orgSlug":"wdaan","orgName":"wdaan","slug":"used-wasted-resources","downloads":11102,"revisionId":28220,"revision":1,"name":"Used | Wasted Resources","description":"Dashboard to show the resource requests vs allocatable in the cluster","readme":"Uses kube-prometheus-stack with node-exporter and kube-state-metrics","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-03-30T09:48:00.000Z","updatedAt":"2023-03-30T09:51:17.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18394"},{"rel":"revisions","href":"/dashboards/18394/revisions"},{"rel":"revision","href":"/dashboards/18394/revisions/1"},{"rel":"download","href":"/dashboards/18394/revisions/1/download"},{"rel":"org","href":"/orgs/wdaan"},{"rel":"images","href":"/dashboards/18394/images"},{"rel":"thumbnails","href":"/dashboards/18394/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16122,"status":1,"statusCode":"active","orgId":193429,"orgSlug":"aerospike","orgName":"Aerospike","slug":"users-view","downloads":360,"revisionId":29788,"revision":3,"name":"Users View","description":"User View dashboard helps visualise user centric metrics like connections,read query ,write query etc.","readme":"Users View dashboard for [Aerospike Monitoring Stack](https://docs.aerospike.com/monitorstack)\r\n\r\nAerospike's Monitoring Stack extracts operational metrics from Aerospike database clusters for visualization and analysis in Prometheus and Grafana.\r\n\r\nSee [Aerospike Monitoring Stack Architecture](https://docs.aerospike.com/monitorstack/new/components-of-monitoring-stack) and [Aerospike Monitoring Stack Installation](https://docs.aerospike.com/monitorstack/new/installing-components) for more details","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-04-17T09:53:20.000Z","updatedAt":"2023-08-28T14:54:18.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16122"},{"rel":"revisions","href":"/dashboards/16122/revisions"},{"rel":"revision","href":"/dashboards/16122/revisions/3"},{"rel":"download","href":"/dashboards/16122/revisions/3/download"},{"rel":"org","href":"/orgs/aerospike"},{"rel":"images","href":"/dashboards/16122/images"},{"rel":"thumbnails","href":"/dashboards/16122/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9630,"status":1,"statusCode":"active","orgId":228680,"orgSlug":"mleach","orgName":"mleach","slug":"usgs-earthquakes","downloads":585,"revisionId":14828,"revision":4,"name":"USGS Earthquakes","description":"USGS global earthquake data feed viewed over worldmap panel plugin.","readme":"Dashboard shows earthquake activity as updated by USGS GeoJSON data feed at:\r\nhttps://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/all_hour.geojson\r\n\r\nMore information about the data feed here:\r\nhttps://earthquake.usgs.gov/earthquakes/feed/v1.0/geojson.php\r\n\r\nDatasource is Influxdb, with a specific database named \"usgs\". Measurements are stored in the table \"earthquakes\". Collection is Telegraf Agent parsing the GeoJSON data feed. Detail on the Telegraf settings below.\r\n\r\nWorldMap Panel Plugin is configured for lat/lang location identification. Magnitude of earthquake event corresponds with color and size of the data points on the map. Map Data options set to Table, and coordinates to support Lat/Lang from data feed, queried from influxdb.\r\n\r\nMagnitude values are graphed with where clauses over lat/lang grids over interesting area's for basic alarm functions. Also have a where clause for the title of an interesting area like a state or country.\r\n","collectorType":"Telegraf","collectorConfig":"```\r\n[global_tags]\r\n\r\n[agent]\r\n  interval = \"5m\"\r\n  round_interval = true\r\n  metric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"5s\"\r\n  flush_interval = \"5m\"\r\n  flush_jitter = \"1m\"\r\n  precision = \"\"\r\n  debug = false\r\n  quiet = false\r\n  logfile = \"\"\r\n  hostname = \"\"\r\n  omit_hostname = false\r\n\r\n[[outputs.influxdb]]\r\n  urls = [\"http://127.0.0.1:8086\"]\r\n  database = \"usgs\"\r\n\r\n[[processors.regex]]\r\n  namepass = [\"earthquakes\"]\r\n\r\n  [[processors.regex.tags]]\r\n    key = \"properties_place\"\r\n    pattern = \".*of\\\\s(.*)\"\r\n    replacement = \"${1}\"\r\n\r\n###############################################################################\r\n#                            INPUT PLUGINS                                    #\r\n###############################################################################\r\n\r\n[[inputs.http]]\r\n  name_override = \"earthquakes\"\r\n  urls = [\"https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/all_hour.geojson\"]\r\n  data_format = \"json\"\r\n  json_query = \"features\"\r\n  tag_keys = [\r\n    \"properties_place\"\r\n]\r\n  json_string_fields = [\r\n    \"properties_url\",\r\n    \"properties_detail\",\r\n    \"properties_felt\",\r\n    \"properties_cdi\",\r\n    \"properties_mmi\",\r\n    \"properties_alert\",\r\n    \"properties_status\",\r\n    \"properties_code\",\r\n    \"properties_ids\",\r\n    \"properties_sources\",\r\n    \"properties_types\",\r\n    \"properties_magType\",\r\n    \"properties_type\",\r\n    \"properties_title\"\r\n]\r\n json_time_key = \"properties_time\"\r\n json_time_format = \"unix_ms\"\r\n\r\n [inputs.http.tags]\r\n   properties_place = \"properties_place\"\r\n```","collectorPluginList":"httpjson","datasource":"InfluxDB","privacy":"public","createdAt":"2019-01-11T23:35:20.000Z","updatedAt":"2019-07-29T21:02:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9630"},{"rel":"revisions","href":"/dashboards/9630/revisions"},{"rel":"revision","href":"/dashboards/9630/revisions/4"},{"rel":"download","href":"/dashboards/9630/revisions/4/download"},{"rel":"org","href":"/orgs/mleach"},{"rel":"images","href":"/dashboards/9630/images"},{"rel":"thumbnails","href":"/dashboards/9630/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10304,"status":1,"statusCode":"active","orgId":255901,"orgSlug":"sonyvl","orgName":"Sony VL","slug":"usgs-earthquakes","downloads":306,"revisionId":14416,"revision":1,"name":"USGS Earthquakes","description":"USGS global earthquake data feed viewed over worldmap panel plugin.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-06-06T07:40:36.000Z","updatedAt":"2019-06-06T07:41:17.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10304"},{"rel":"revisions","href":"/dashboards/10304/revisions"},{"rel":"revision","href":"/dashboards/10304/revisions/1"},{"rel":"download","href":"/dashboards/10304/revisions/1/download"},{"rel":"org","href":"/orgs/sonyvl"},{"rel":"images","href":"/dashboards/10304/images"},{"rel":"thumbnails","href":"/dashboards/10304/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12383,"status":1,"statusCode":"active","orgId":387696,"orgSlug":"joschob44","orgName":"joschob44","slug":"usgs-earthquakes","downloads":280,"revisionId":17735,"revision":1,"name":"USGS Earthquakes","description":"USGS global earthquake data feed viewed over worldmap panel plugin.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-05-30T02:59:49.000Z","updatedAt":"2020-05-30T03:00:01.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12383"},{"rel":"revisions","href":"/dashboards/12383/revisions"},{"rel":"revision","href":"/dashboards/12383/revisions/1"},{"rel":"download","href":"/dashboards/12383/revisions/1/download"},{"rel":"org","href":"/orgs/joschob44"},{"rel":"images","href":"/dashboards/12383/images"},{"rel":"thumbnails","href":"/dashboards/12383/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19894,"status":1,"statusCode":"active","orgId":976616,"orgSlug":"logulokeshsd","orgName":"logulokeshsd","slug":"usgs-earthquakes","downloads":278,"revisionId":30569,"revision":1,"name":"USGS Earthquakes1","description":"USGS global earthquake data feed viewed over worldmap panel plugin.","readme":"","collectorType":"Telegraf","collectorConfig":"[global_tags]\r\n[agent]\r\n  interval = \"5m\"\r\n  round_interval = true\r\n  metric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"5s\"\r\n  flush_interval = \"5m\"\r\n  flush_jitter = \"1m\"\r\n  precision = \"\"\r\n  debug = false\r\n  quiet = false\r\n  logfile = \"\"\r\n  hostname = \"\"\r\n  omit_hostname = false\r\n[[outputs.influxdb]]\r\n  urls = [\"http://127.0.0.1:8086\"]\r\n  database = \"usgs\"\r\n[[processors.regex]]\r\n  namepass = [\"earthquakes\"]\r\n  [[processors.regex.tags]]\r\n    key = \"properties_place\"\r\n    pattern = \".of\\s(.)\"\r\n    replacement = \"${1}\"\r\n###############################################################################\r\n#                            INPUT PLUGINS                                    #\r\n###############################################################################\r\n[[inputs.http]]\r\n  name_override = \"earthquakes\"\r\n  urls = \"[https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/all_hour.geojson\"]\r\n  data_format = \"json\"\r\n  json_query = \"features\"\r\n  tag_keys = [\r\n    \"properties_place\"\r\n]\r\n  json_string_fields = [\r\n    \"properties_url\",\r\n    \"properties_detail\",\r\n    \"properties_felt\",\r\n    \"properties_cdi\",\r\n    \"properties_mmi\",\r\n    \"properties_alert\",\r\n    \"properties_status\",\r\n    \"properties_code\",\r\n    \"properties_ids\",\r\n    \"properties_sources\",\r\n    \"properties_types\",\r\n    \"properties_magType\",\r\n    \"properties_type\",\r\n    \"properties_title\"\r\n]\r\n json_time_key = \"properties_time\"\r\n json_time_format = \"unix_ms\"\r\n [inputs.http.tags]\r\n   properties_place = \"properties_place\"","collectorPluginList":"httpjson","datasource":"InfluxDB","privacy":"public","createdAt":"2023-11-01T07:42:49.000Z","updatedAt":"2023-11-01T07:44:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19894"},{"rel":"revisions","href":"/dashboards/19894/revisions"},{"rel":"revision","href":"/dashboards/19894/revisions/1"},{"rel":"download","href":"/dashboards/19894/revisions/1/download"},{"rel":"org","href":"/orgs/logulokeshsd"},{"rel":"images","href":"/dashboards/19894/images"},{"rel":"thumbnails","href":"/dashboards/19894/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":3435,"status":1,"statusCode":"active","orgId":90890,"orgSlug":"agreco","orgName":"Attilio  Greco","slug":"uwsgi","downloads":897,"revisionId":4737,"revision":1,"name":"uWsgi","description":"Simple Dashboard for Uwsgi Metrics","readme":"The metrics are collected by uwsgi-exporter\r\nhttps://github.com/AndreaGreco/prometeus_uwsgi_exporter","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-10-12T07:28:41.000Z","updatedAt":"2017-10-12T08:05:31.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/3435"},{"rel":"revisions","href":"/dashboards/3435/revisions"},{"rel":"revision","href":"/dashboards/3435/revisions/1"},{"rel":"download","href":"/dashboards/3435/revisions/1/download"},{"rel":"org","href":"/orgs/agreco"},{"rel":"images","href":"/dashboards/3435/images"},{"rel":"thumbnails","href":"/dashboards/3435/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15091,"status":1,"statusCode":"active","orgId":550547,"orgSlug":"kl0ven","orgName":"kl0ven","slug":"uwsgi","downloads":1111,"revisionId":22588,"revision":3,"name":"uWSGI","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-10-08T09:38:41.000Z","updatedAt":"2021-10-08T14:45:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/15091"},{"rel":"revisions","href":"/dashboards/15091/revisions"},{"rel":"revision","href":"/dashboards/15091/revisions/3"},{"rel":"download","href":"/dashboards/15091/revisions/3/download"},{"rel":"org","href":"/orgs/kl0ven"},{"rel":"images","href":"/dashboards/15091/images"},{"rel":"thumbnails","href":"/dashboards/15091/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10277,"status":1,"statusCode":"active","orgId":253058,"orgSlug":"cavalheiro","orgName":"cavalheiro","slug":"uyuni-suse-manager-server","downloads":560,"revisionId":14379,"revision":2,"name":"Uyuni / SUSE Manager Server","description":"","readme":"This dashboard shows insights about Uyuni / SUSE Manager servers and includes metrics from:\n- Node exporter\n- PostgreSQL exporter\n- JMX exporter\n- Internal metrics\n\nThe dashboard requires that an existing Prometheus is configured to collect Uyuni / SUSE Manager metrics. The 'job' constant should be set according to the settings you have on your Prometheus scrape targets. It assumes exporters are running on their default ports.\n\nExample Prometheus scrape target config:\n```yaml\n- job_name: 'uyuni-server'\n  static_configs:\n    - targets:\n      - 'uyuni-server.local:9100'  # Node exporter\n      - 'uyuni-server.local:9187'  # PostgreSQL exporter\n      - 'uyuni-server.local:5556'  # JMX exporter (Tomcat)\n      - 'uyuni-server.local:5557'  # JMX exporter (Taskomatic)\n      - 'uyuni-server.local:9800'  # Taskomatic\n    - targets:\n      - 'uyuni-server.local:80'    # Message queue\n      labels:\n        __metrics_path__: /rhn/metrics\n``` ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-05-30T18:31:23.000Z","updatedAt":"2019-05-30T18:56:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10277"},{"rel":"revisions","href":"/dashboards/10277/revisions"},{"rel":"revision","href":"/dashboards/10277/revisions/2"},{"rel":"download","href":"/dashboards/10277/revisions/2/download"},{"rel":"org","href":"/orgs/cavalheiro"},{"rel":"images","href":"/dashboards/10277/images"},{"rel":"thumbnails","href":"/dashboards/10277/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11545,"status":1,"statusCode":"active","orgId":334979,"orgSlug":"wi1dcard","orgName":"wi1dcard","slug":"v2ray-dashboard","downloads":1428,"revisionId":18153,"revision":3,"name":"V2Ray Dashboard","description":"","readme":"Be used together with [V2Ray Exporter](https://github.com/wi1dcard/v2ray-exporter). Check the link for the latest version of the dashboard.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-10T23:57:20.000Z","updatedAt":"2020-07-10T14:34:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11545"},{"rel":"revisions","href":"/dashboards/11545/revisions"},{"rel":"revision","href":"/dashboards/11545/revisions/3"},{"rel":"download","href":"/dashboards/11545/revisions/3/download"},{"rel":"org","href":"/orgs/wi1dcard"},{"rel":"images","href":"/dashboards/11545/images"},{"rel":"thumbnails","href":"/dashboards/11545/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17410,"status":1,"statusCode":"active","orgId":744024,"orgSlug":"benyaminghal","orgName":"benyaminghal","slug":"v2ray-dashboard","downloads":434,"revisionId":26743,"revision":1,"name":"V2Ray Dashboard","description":"No","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-11-15T05:49:46.000Z","updatedAt":"2022-12-24T18:28:06.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17410"},{"rel":"revisions","href":"/dashboards/17410/revisions"},{"rel":"revision","href":"/dashboards/17410/revisions/1"},{"rel":"download","href":"/dashboards/17410/revisions/1/download"},{"rel":"org","href":"/orgs/benyaminghal"},{"rel":"images","href":"/dashboards/17410/images"},{"rel":"thumbnails","href":"/dashboards/17410/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24384,"status":1,"statusCode":"active","orgId":1588260,"orgSlug":"iliavs","orgName":"iliavs","slug":"v2ray-dashboard","downloads":53,"revisionId":38996,"revision":1,"name":"V2Ray Dashboard","description":"test","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-11-13T13:07:04.000Z","updatedAt":"2025-11-14T22:21:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24384"},{"rel":"revisions","href":"/dashboards/24384/revisions"},{"rel":"revision","href":"/dashboards/24384/revisions/1"},{"rel":"download","href":"/dashboards/24384/revisions/1/download"},{"rel":"org","href":"/orgs/iliavs"},{"rel":"images","href":"/dashboards/24384/images"},{"rel":"thumbnails","href":"/dashboards/24384/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19059,"status":1,"statusCode":"active","orgId":888048,"orgSlug":"stakewise","orgName":"stakewise","slug":"v3-keeper-oracle","downloads":322,"revisionId":29195,"revision":1,"name":"V3 Keeper / Oracle","description":"StakeWise V3 (Oracle, Keeper)","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-06-27T14:09:14.000Z","updatedAt":"2023-06-27T14:16:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19059"},{"rel":"revisions","href":"/dashboards/19059/revisions"},{"rel":"revision","href":"/dashboards/19059/revisions/1"},{"rel":"download","href":"/dashboards/19059/revisions/1/download"},{"rel":"org","href":"/orgs/stakewise"},{"rel":"images","href":"/dashboards/19059/images"},{"rel":"thumbnails","href":"/dashboards/19059/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19060,"status":1,"statusCode":"active","orgId":888048,"orgSlug":"stakewise","orgName":"stakewise","slug":"v3-operator","downloads":288,"revisionId":29196,"revision":1,"name":"V3 Operator","description":"StakeWise V3 Operator","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-06-27T15:24:13.000Z","updatedAt":"2023-06-27T15:25:14.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19060"},{"rel":"revisions","href":"/dashboards/19060/revisions"},{"rel":"revision","href":"/dashboards/19060/revisions/1"},{"rel":"download","href":"/dashboards/19060/revisions/1/download"},{"rel":"org","href":"/orgs/stakewise"},{"rel":"images","href":"/dashboards/19060/images"},{"rel":"thumbnails","href":"/dashboards/19060/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13263,"status":1,"statusCode":"active","orgId":358181,"orgSlug":"dtanphat9388","orgName":"dtanphat9388","slug":"federate","downloads":363,"revisionId":19261,"revision":1,"name":"VAG - 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You must have your Valheim server set to `PUBLIC` and have port forwarding setup for your steam query port (Valheim Port number +1), as player count metrics are pulled from the Steam API. If you are running multiple Valheim servers, make sure each server has their own dedicated steam query port number.\r\n\r\nTo set this up, use this example `docker-compose.yml`\r\n\r\n```yaml\r\nversion: \"2.4\"\r\nservices:\r\n  valheim:\r\n    image: mbround18/valheim:latest\r\n    container_name: valheim\r\n    restart: unless-stopped\r\n    ports:\r\n      - 2456:2456/udp\r\n      - 2457:2457/udp\r\n      - 2458:2458/udp\r\n      - 2459:2459/tcp\r\n    environment:\r\n      PORT: 2456\r\n      HTTP_PORT: 2459\r\n      PUBLIC: 1\r\n  prometheus:\r\n    image: prom/prometheus:latest\r\n    container_name: prometheus\r\n    restart: always\r\n    ports:\r\n      - 9090:9090/tcp\r\n    volumes:\r\n      - ./prometheus.yml:/etc/prometheus/prometheus.yml\r\n  grafana:\r\n    image: grafana/grafana:latest\r\n    container_name: grafana\r\n    restart: always\r\n    ports:\r\n      - 3000:3000/tcp\r\n    environment:\r\n      GF_SECURITY_ADMIN_USER: admin\r\n      GF_SECURITY_ADMIN_PASSWORD: password\r\n  cadvisor:\r\n    image: gcr.io/google-containers/cadvisor:latest\r\n    container_name: cadvisor\r\n    restart: always\r\n    ports:\r\n      - 8080:8080/tcp\r\n    privileged: true\r\n    command:\r\n      # Defaults to 1s interval, 5s interval for reduced cpu\r\n      - \"-housekeeping_interval=5s\"\r\n    volumes:\r\n      - /:/rootfs:ro\r\n      - /var/run:/var/run:ro\r\n      - /sys:/sys:ro\r\n      - /var/lib/docker:/var/lib/docker:ro\r\n      - /dev/disk:/dev/disk:ro\r\n```\r\nAnd use the following scrape configs for your `prometheus.yml`\r\n\r\n```yaml\r\nscrape_configs:\r\n  - job_name: cadvisor\r\n    static_configs:\r\n    - targets: ['cadvisor:8080']\r\n  - job_name: valheim\r\n    static_configs:\r\n    - targets: ['valheim:2459']\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-03-23T01:22:36.000Z","updatedAt":"2021-04-04T02:02:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14123"},{"rel":"revisions","href":"/dashboards/14123/revisions"},{"rel":"revision","href":"/dashboards/14123/revisions/2"},{"rel":"download","href":"/dashboards/14123/revisions/2/download"},{"rel":"org","href":"/orgs/bforbis"},{"rel":"images","href":"/dashboards/14123/images"},{"rel":"thumbnails","href":"/dashboards/14123/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13441,"status":1,"statusCode":"active","orgId":438765,"orgSlug":"kaustubhkapatral","orgName":"kaustubhkapatral","slug":"validator-monitoring-metrics","downloads":323,"revisionId":19680,"revision":2,"name":"Validator Monitoring Metrics","description":"InfluxDB grafana dashboard for validator performance metrics on Matic network ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-11-21T09:46:28.000Z","updatedAt":"2020-11-27T09:58:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13441"},{"rel":"revisions","href":"/dashboards/13441/revisions"},{"rel":"revision","href":"/dashboards/13441/revisions/2"},{"rel":"download","href":"/dashboards/13441/revisions/2/download"},{"rel":"org","href":"/orgs/kaustubhkapatral"},{"rel":"images","href":"/dashboards/13441/images"},{"rel":"thumbnails","href":"/dashboards/13441/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14319,"status":1,"statusCode":"active","orgId":488889,"orgSlug":"tedder","orgName":"tedder","slug":"validator-stats","downloads":432,"revisionId":21829,"revision":18,"name":"Validator stats","description":"","readme":"A dashboard for the Helium [miner\\_exporter](https://github.com/tedder/miner_exporter) Prometheus exporter.\n\nContribute by sending a PR to the [Dashboard repo](https://github.com/tedder/helium_miner_grafana_dashboard).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-04-27T17:57:02.000Z","updatedAt":"2021-07-08T18:10:53.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14319"},{"rel":"revisions","href":"/dashboards/14319/revisions"},{"rel":"revision","href":"/dashboards/14319/revisions/18"},{"rel":"download","href":"/dashboards/14319/revisions/18/download"},{"rel":"org","href":"/orgs/tedder"},{"rel":"images","href":"/dashboards/14319/images"},{"rel":"thumbnails","href":"/dashboards/14319/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16168,"status":1,"statusCode":"active","orgId":413301,"orgSlug":"bmsezen","orgName":"bmsezen","slug":"validator-stats","downloads":261,"revisionId":24543,"revision":1,"name":"Validator stats","description":"Helium 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valkey","collectorType":"nodeExporter","collectorConfig":"# 7. 监控 Redis 集群\r\n  - job_name: redis-exporter\r\n    static_configs:\r\n      - targets: \r\n          - '192.168.0.2:9121'","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-01-24T00:43:19.000Z","updatedAt":"2026-02-12T07:36:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24733"},{"rel":"revisions","href":"/dashboards/24733/revisions"},{"rel":"revision","href":"/dashboards/24733/revisions/2"},{"rel":"download","href":"/dashboards/24733/revisions/2/download"},{"rel":"org","href":"/orgs/hi65"},{"rel":"images","href":"/dashboards/24733/images"},{"rel":"thumbnails","href":"/dashboards/24733/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9585,"status":1,"statusCode":"active","orgId":226486,"orgSlug":"varken","orgName":"Varken Devs","slug":"varken-official-1-6-x","downloads":2828,"revisionId":13806,"revision":5,"name":"Varken [Official] [v1.6.x]","description":"Official dashboard for https://github.com/Boerderij/Varken","readme":"# This is the official, supported dashboard for Varken. \n\n## Dependencies:\n[Pie Chart](https://grafana.com/plugins/grafana-piechart-panel/installation)\n```\ngrafana-cli plugins install grafana-piechart-panel\n```\n[World Map](https://grafana.com/plugins/grafana-worldmap-panel/installation)\n```\ngrafana-cli plugins install grafana-worldmap-panel\n```\n\n### Note: This dashboard is built with the _default timers_ set in the configuration example. We recommend you **DO NOT** change those values initially. First, verify the dashboard is working as expected, then change those values in the configuration file **AND** the dashboard panels themselves. \n\nFor support please visit us on [Discord](https://discord.gg/AGTG44H).\n\n## Varken\n\nDutch for PIG. PIG is an Acronym for Plex/InfluxDB/Grafana\n\nVarken is a standalone command-line utility to aggregate data\nfrom the Plex ecosystem into InfluxDB. Examples use Grafana for a\nfrontend\n​\nRequirements:\n* Python3.6.7+\n* Python3-pip\n* [InfluxDB](https://www.influxdata.com/)\n\nSupported Modules:\n* [Sonarr](https://sonarr.tv/) - Smart PVR for newsgroup and bittorrent users.\n* [SickChill](https://sickchill.github.io/) - SickChill is an automatic Video Library Manager for TV Shows.\n* [Radarr](https://radarr.video/) - A fork of Sonarr to work with movies à la Couchpotato.\n* [Tautulli](https://tautulli.com/) - A Python based monitoring and tracking tool for Plex Media Server.\n* [Ombi](https://ombi.io/) - Want a Movie or TV Show on Plex or Emby? Use Ombi!\n* [Unifi](https://unifi-sdn.ubnt.com/) - The Global Leader in Managed Wi-Fi Systems\n\nKey features:\n* Multiple server support for all modules\n* Geolocation mapping from [GeoLite2](https://dev.maxmind.com/geoip/geoip2/geolite2/)\n* Grafana [Worldmap Panel](https://grafana.com/plugins/grafana-worldmap-panel/installation) support\n\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-12-30T04:39:47.000Z","updatedAt":"2019-03-19T17:04:37.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9585"},{"rel":"revisions","href":"/dashboards/9585/revisions"},{"rel":"revision","href":"/dashboards/9585/revisions/5"},{"rel":"download","href":"/dashboards/9585/revisions/5/download"},{"rel":"org","href":"/orgs/varken"},{"rel":"images","href":"/dashboards/9585/images"},{"rel":"thumbnails","href":"/dashboards/9585/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9718,"status":1,"statusCode":"active","orgId":172362,"orgSlug":"baymax","orgName":"baymax","slug":"varken-official-v1-6-x","downloads":297,"revisionId":13521,"revision":1,"name":"Varken [Official] [v1.6.x]","description":"Official dashboard for https://github.com/Boerderij/Varken","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-01-28T17:30:41.000Z","updatedAt":"2019-01-28T17:31:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9718"},{"rel":"revisions","href":"/dashboards/9718/revisions"},{"rel":"revision","href":"/dashboards/9718/revisions/1"},{"rel":"download","href":"/dashboards/9718/revisions/1/download"},{"rel":"org","href":"/orgs/baymax"},{"rel":"images","href":"/dashboards/9718/images"},{"rel":"thumbnails","href":"/dashboards/9718/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10321,"status":1,"statusCode":"active","orgId":256461,"orgSlug":"herb13","orgName":"herb13","slug":"varken-official-v1-6-x","downloads":291,"revisionId":14435,"revision":1,"name":"Varken [Official] [v1.6.x]","description":"Official dashboard for https://github.com/Boerderij/Varken","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-06-10T11:00:09.000Z","updatedAt":"2019-06-10T11:00:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10321"},{"rel":"revisions","href":"/dashboards/10321/revisions"},{"rel":"revision","href":"/dashboards/10321/revisions/1"},{"rel":"download","href":"/dashboards/10321/revisions/1/download"},{"rel":"org","href":"/orgs/herb13"},{"rel":"images","href":"/dashboards/10321/images"},{"rel":"thumbnails","href":"/dashboards/10321/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9579,"status":1,"statusCode":"active","orgId":226486,"orgSlug":"varken","orgName":"Varken Devs","slug":"varken-official-nightly","downloads":2211,"revisionId":13269,"revision":7,"name":"Varken [Official] DEVELOPMENT ONLY","description":"FOR DEVELOPMENT ONLY. Please use the tagged release dashboard.  https://grafana.com/dashboards/9585","readme":"# FOR DEVELOPMENT ONLY. Please use the tagged release dashboard. [https://grafana.com/dashboards/9585](https://grafana.com/dashboards/9585)\n\n\n## Dependencies:\n[Pie Chart](https://grafana.com/plugins/grafana-piechart-panel/installation)\n```\ngrafana-cli plugins install grafana-piechart-panel\n```\n[World Map](https://grafana.com/plugins/grafana-worldmap-panel/installation)\n```\ngrafana-cli plugins install grafana-worldmap-panel\n```\n\n### Note: This dashboard is built with the _default timers_ set in the configuration example. We recommend you **DO NOT** change those values initially. First, verify the dashboard is working as expected, then change those values in the configuration file **AND** the dashboard panels themselves. \n\nFor support please visit us on [Discord](https://discord.gg/AGTG44H).\n\n## Varken\n\nDutch for PIG. PIG is an Acronym for Plex/InfluxDB/Grafana\n\nVarken is a standalone command-line utility to aggregate data\nfrom the Plex ecosystem into InfluxDB. Examples use Grafana for a\nfrontend\n​\nRequirements:\n* Python3.6.7+\n* Python3-pip\n* [InfluxDB](https://www.influxdata.com/)\n\nSupported Modules:\n* [Sonarr](https://sonarr.tv/) - Smart PVR for newsgroup and bittorrent users.\n* [SickChill](https://sickchill.github.io/) - SickChill is an automatic Video Library Manager for TV Shows.\n* [Radarr](https://radarr.video/) - A fork of Sonarr to work with movies à la Couchpotato.\n* [Tautulli](https://tautulli.com/) - A Python based monitoring and tracking tool for Plex Media Server.\n* [Ombi](https://ombi.io/) - Want a Movie or TV Show on Plex or Emby? Use Ombi!\n* [Unifi](https://unifi-sdn.ubnt.com/) - The Global Leader in Managed Wi-Fi Systems\n\nKey features:\n* Multiple server support for all modules\n* Geolocation mapping from [GeoLite2](https://dev.maxmind.com/geoip/geoip2/geolite2/)\n* Grafana [Worldmap Panel](https://grafana.com/plugins/grafana-worldmap-panel/installation) support\n\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-12-28T13:42:31.000Z","updatedAt":"2019-03-19T17:03:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9579"},{"rel":"revisions","href":"/dashboards/9579/revisions"},{"rel":"revision","href":"/dashboards/9579/revisions/7"},{"rel":"download","href":"/dashboards/9579/revisions/7/download"},{"rel":"org","href":"/orgs/varken"},{"rel":"images","href":"/dashboards/9579/images"},{"rel":"thumbnails","href":"/dashboards/9579/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9684,"status":1,"statusCode":"active","orgId":173136,"orgSlug":"gilbn","orgName":"gilbn","slug":"varken-dashboard-for-organizr-homepage","downloads":2493,"revisionId":14140,"revision":8,"name":"Varken Dashboard for Organizr Homepage","description":"Varken Dashboard for Organizr Homepage","readme":"# A Grafana dashboard for displaying Plex stats  on the Organizr Homepage using the [Varken](https://github.com/Boerderij/Varken)  docker container.\r\n## More information [here](https://technicalramblings.com/blog/spice-up-your-homepage-part-ii/)\r\n\r\n## Join the Unraid discord! \r\n\r\n[![Unraid](https://raw.githubusercontent.com/selfhosters/unRAID-CA-templates/master/.github/ISSUE_TEMPLATE/discord_unraid_unraid.png )](https://discord.gg/qWPbc8R)\r\n\r\n[![Discord](https://img.shields.io/discord/641230698166091777?color=%23ff8c2f&label=Discord&logo=discord&logoColor=%23ff8c2f&style=for-the-badge)](https://discord.gg/qWPbc8R)\r\n\r\n## For support on the dashboard click: [![Discord](https://img.shields.io/discord/591352397830553601.svg?style=for-the-badge&logo=discord)](https://discord.gg/HM5uUKU)\r\n![](https://grafana.com/api/dashboards/9684/images/6055/image)\r\n\r\n\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-01-17T21:14:08.000Z","updatedAt":"2019-12-07T10:44:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":4.33,"links":[{"rel":"self","href":"/dashboards/9684"},{"rel":"revisions","href":"/dashboards/9684/revisions"},{"rel":"revision","href":"/dashboards/9684/revisions/8"},{"rel":"download","href":"/dashboards/9684/revisions/8/download"},{"rel":"org","href":"/orgs/gilbn"},{"rel":"images","href":"/dashboards/9684/images"},{"rel":"thumbnails","href":"/dashboards/9684/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9903,"status":1,"statusCode":"active","orgId":116460,"orgSlug":"cdewitt","orgName":"cdewitt","slug":"varnish","downloads":7501,"revisionId":13803,"revision":1,"name":"Varnish","description":"A dashboard to use to debug a running varnish instance. Easily track requests, cache hits, network i/o, sessions, threads, bans, ban lurker and the ban list size","readme":"A dashboard to use to debug a running varnish instance. Easily track requests, cache hits, network i/o, sessions, threads, bans, ban lurker and the ban list size.\n\nFor use with the exporter below.\nhttps://github.com/jonnenauha/prometheus_varnish_exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-03-11T15:38:56.000Z","updatedAt":"2019-03-11T15:42:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/9903"},{"rel":"revisions","href":"/dashboards/9903/revisions"},{"rel":"revision","href":"/dashboards/9903/revisions/1"},{"rel":"download","href":"/dashboards/9903/revisions/1/download"},{"rel":"org","href":"/orgs/cdewitt"},{"rel":"images","href":"/dashboards/9903/images"},{"rel":"thumbnails","href":"/dashboards/9903/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5060,"status":1,"statusCode":"active","orgId":129866,"orgSlug":"pad92","orgName":"pad92","slug":"varnish","downloads":716,"revisionId":6761,"revision":2,"name":"Varnish","description":"Performance Metrics for Varnish Cache","readme":"","collectorType":"Telegraf","collectorConfig":"Configuration for Telegraf\r\n---\r\n\r\n```\r\n[[inputs.varnish]]\r\n    use_sudo = true\r\n    stats = [\"all\"]\r\n```","collectorPluginList":"varnish","datasource":"InfluxDB","privacy":"public","createdAt":"2018-03-12T23:39:23.000Z","updatedAt":"2018-03-13T22:36:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5060"},{"rel":"revisions","href":"/dashboards/5060/revisions"},{"rel":"revision","href":"/dashboards/5060/revisions/2"},{"rel":"download","href":"/dashboards/5060/revisions/2/download"},{"rel":"org","href":"/orgs/pad92"},{"rel":"images","href":"/dashboards/5060/images"},{"rel":"thumbnails","href":"/dashboards/5060/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":352,"status":1,"statusCode":"active","orgId":12931,"orgSlug":"ggreen","orgName":"Graham Green","slug":"varnish-overview","downloads":1766,"revisionId":478,"revision":1,"name":"Varnish Overview","description":"Performance Metrics for Varnish Cache","readme":"The dashboard provides the following;\r\n\r\nSystem stats for uptime, cpu count, RAM, free memory %, and panels for CPU Usage and Load.\r\n\r\nVarnish metrics include:\r\nCache Hit/Miss, client status, uptime, hit rate (24 hours) single stat, hit rate, cached objects, threads, backend status.\r\n\r\nMetrics come from the Telegraf daemon on the host and require the Varnish plugin for Telegraf to be enabled.\r\n\r\nThe dashboard utilizes templating to dynamically choose the datasource and host In our usecase we have a different datasource for each of our environments (dev, qa, staging and prod) so being able to easily switch between them is very useful, you could easily remove this option if you have a single data source. The available hosts gets updated when you change data srouces.","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2016-08-20T06:28:14.000Z","updatedAt":"2016-08-20T06:30:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/352"},{"rel":"revisions","href":"/dashboards/352/revisions"},{"rel":"revision","href":"/dashboards/352/revisions/1"},{"rel":"download","href":"/dashboards/352/revisions/1/download"},{"rel":"org","href":"/orgs/ggreen"},{"rel":"images","href":"/dashboards/352/images"},{"rel":"thumbnails","href":"/dashboards/352/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":6897,"status":1,"statusCode":"active","orgId":166362,"orgSlug":"damianz","orgName":"damianz","slug":"varnish-overview","downloads":392,"revisionId":9402,"revision":1,"name":"Varnish Overview","description":"Performance Metrics for Varnish Cache","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-07-09T11:50:05.000Z","updatedAt":"2018-07-09T11:58:55.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6897"},{"rel":"revisions","href":"/dashboards/6897/revisions"},{"rel":"revision","href":"/dashboards/6897/revisions/1"},{"rel":"download","href":"/dashboards/6897/revisions/1/download"},{"rel":"org","href":"/orgs/damianz"},{"rel":"images","href":"/dashboards/6897/images"},{"rel":"thumbnails","href":"/dashboards/6897/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21157,"status":1,"statusCode":"active","orgId":1135806,"orgSlug":"vastdata","orgName":"VAST Data","slug":"vast-cluster-statistics","downloads":435,"revisionId":32925,"revision":1,"name":"VAST 4.7 Cluster Statistics","description":"Dashboard for visualizing VAST 4.7 cluster metrics","readme":"# Introduction\r\nThe [VAST Data Platform](https://www.vastdata.com/) unifies storage, database, and containerized compute into a single, scalable software platform to power AI & deep learning in modern data centers and clouds.\r\n\r\nIn addition to the in-depth analytics provided in the product UI, VAST versions 4.5.0 and later have built-in Prometheus exporters for easy integration into existing monitoring infrastructure.\r\n\r\nThis dashboard provides a heads-up view for visualizing:\r\n* Cluster health and statistics\r\n* NFSv3 and S3 protocol statistics\r\n* View statistics\r\n* User statistics\r\n* Hardware health and statistics\r\n\r\n## Compatibility\r\n\r\n**For VAST 5.0 and later, see the new [VAST Cluster Statistics](https://grafana.com/grafana/dashboards/22509) dashboard.**\r\n\r\nThis dashboard supports VAST 4.7 and later with the built-in Prometheus exporter. For a 4.6 dashboard, or one that sources from the external exporter, please contact VAST support.\r\n\r\n# Prometheus Configuration\r\nVAST clusters running 4.6.0-sp11 and later provide separate metrics endpoints to give more control on which metrics to fetch and how often to fetch them. This allows users to customize the trade off between metric freshness and the cost of fetching the data.\r\n\r\nHere's an example `prometheus.yml` configuration for the 4 endpoints used by this dashboard with some guidelines on scraping intervals.\r\n\r\n```yaml\r\nscrape_configs:\r\n  # Base metrics contain key cluster and protocol stats\r\n  # Recommended scrape interval is >= 30s\r\n  - job_name: 'vast_base'\r\n    metrics_path: '/api/prometheusmetrics/'\r\n    scrape_interval: 30s\r\n    scrape_timeout: 20s\r\n\r\n    scheme: https\r\n    static_configs:\r\n      - targets: ['10.71.10.202:443']\r\n    tls_config:\r\n        insecure_skip_verify: true\r\n\r\n    basic_auth:\r\n       username: 'admin'\r\n       password: 'xxxxxx'\r\n\r\n\r\n  # Device metrics can be data intensive for larger clusters\r\n  # Recommended scrape interval is >= 60s\r\n  - job_name: 'vast_devices'\r\n    metrics_path: '/api/prometheusmetrics/devices'\r\n    scrape_interval: 60s\r\n    scrape_timeout: 45s\r\n\r\n    scheme: https\r\n    static_configs:\r\n      - targets: ['10.71.10.202:443']\r\n    tls_config:\r\n        insecure_skip_verify: true\r\n\r\n    basic_auth:\r\n       username: 'admin'\r\n       password: 'xxxxxx'\r\n\r\n\r\n  # View metrics can be data intensive for clusters with many views\r\n  # Recommended scrape interval is >= 60s\r\n  - job_name: 'vast_views'\r\n    metrics_path: '/api/prometheusmetrics/views'\r\n    scrape_interval: 60s\r\n    scrape_timeout: 45s\r\n\r\n    scheme: https\r\n    static_configs:\r\n      - targets: ['10.71.10.202:443']\r\n    tls_config:\r\n        insecure_skip_verify: true\r\n\r\n    basic_auth:\r\n       username: 'admin'\r\n       password: 'xxxxxx'\r\n\r\n\r\n  # User metrics can be data intensive for clusters with many users\r\n  # Recommended scrape interval is >= 60s\r\n  - job_name: 'vast_users'\r\n    metrics_path: '/api/prometheusmetrics/users'\r\n    scrape_interval: 60s\r\n    scrape_timeout: 45s\r\n\r\n    scheme: https\r\n    static_configs:\r\n      - targets: ['10.71.10.202:443']\r\n    tls_config:\r\n        insecure_skip_verify: true\r\n\r\n    basic_auth:\r\n       username: 'admin'\r\n       password: 'xxxxxx'\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-05-29T00:13:25.000Z","updatedAt":"2024-12-11T19:38:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21157"},{"rel":"revisions","href":"/dashboards/21157/revisions"},{"rel":"revision","href":"/dashboards/21157/revisions/1"},{"rel":"download","href":"/dashboards/21157/revisions/1/download"},{"rel":"org","href":"/orgs/vastdata"},{"rel":"images","href":"/dashboards/21157/images"},{"rel":"thumbnails","href":"/dashboards/21157/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22292,"status":1,"statusCode":"active","orgId":1135806,"orgSlug":"vastdata","orgName":"VAST Data","slug":"vast-audit-dashboard","downloads":307,"revisionId":35022,"revision":1,"name":"VAST Audit Dashboard","description":"Dashboard for querying VAST audit records","readme":"# Introduction\r\nThe [VAST Data Platform](https://www.vastdata.com/) unifies storage, database, and containerized compute into a single, scalable software platform to power AI & deep learning in modern data centers and clouds.\r\n\r\n[Protocol Auditing](https://support.vastdata.com/s/topic/0TOV400000019MEOAY/protocol-auditing-v51) in 5.1 and later allow audit records to be written to a database on the cluster, allowing administrators to quickly view user data access and to assist with security reviews.\r\n\r\nThis dashboard uses a Trino data source with the [VAST Connector for Trino](https://support.vastdata.com/s/article/UUID-58380a6a-6594-914d-004b-b37d5a06692b) to give visibility into files on the VAST cluster, including:\r\n* Auditing entries over a specific time range, including the user, protocol, filename, and operation\r\n* Breakdown of users and operations over the time range\r\n* Amount of data read and written\r\n* Optional filtering of the above by path prefix, user, or action\r\n\r\n## Compatibility\r\nThis dashboard supports VAST 5.1 and later.\r\n\r\n## Configuration\r\n1. [Enable the Global Auditing](https://support.vastdata.com/s/article/UUID-b2203219-a37d-2910-e865-4dd060943b07) on your cluster to log entries to the database\r\n2. [Enable user access to the audit records](https://support.vastdata.com/s/article/UUID-9bbbf2b0-b88d-0b37-1187-b3b67ddccc7b)\r\n3. [Install & configure the VAST Connector for Trino](https://support.vastdata.com/s/article/UUID-58380a6a-6594-914d-004b-b37d5a06692b)\r\n4. Install the [Trino plugin for Grafana](https://grafana.com/grafana/plugins/trino-datasource/)\r\n5. Configure a Trino data source in Grafana\r\n6. Install the dashboard","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Trino","privacy":"public","createdAt":"2024-11-13T18:11:37.000Z","updatedAt":"2024-12-11T19:30:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22292"},{"rel":"revisions","href":"/dashboards/22292/revisions"},{"rel":"revision","href":"/dashboards/22292/revisions/1"},{"rel":"download","href":"/dashboards/22292/revisions/1/download"},{"rel":"org","href":"/orgs/vastdata"},{"rel":"images","href":"/dashboards/22292/images"},{"rel":"thumbnails","href":"/dashboards/22292/thumbnails"}],"datasourceSlugs":["trino-datasource"]},{"id":21760,"status":1,"statusCode":"active","orgId":1135806,"orgSlug":"vastdata","orgName":"VAST Data","slug":"vast-catalog-dashboard","downloads":780,"revisionId":37697,"revision":3,"name":"VAST Catalog Dashboard","description":"","readme":"# Introduction\r\nThe [VAST Data Platform](https://www.vastdata.com/) unifies storage, database, and containerized compute into a single, scalable software platform to power AI & deep learning in modern data centers and clouds.\r\n\r\nThe [VAST Catalog](https://support.vastdata.com/s/article/VAST-Catalog-Overview) is a database that indexes metadata attributes of all data on the cluster, enabling high performance querying of files, objects, and directories.\r\n\r\nThis dashboard uses a Trino data source with the [VAST Connector for Trino](https://support.vastdata.com/s/article/UUID-58380a6a-6594-914d-004b-b37d5a06692b) to give visibility into files on the VAST cluster, including:\r\n* Largest files, directories, and extensions\r\n* Histograms for file sizes and modification time\r\n* Space used broken down by user\r\n* Files created and modified using the dashboard timeframe\r\n* Optional filtering of the above by path prefix\r\n\r\n## Compatibility\r\nThis dashboard supports VAST 4.7 and later.\r\n\r\n## Configuration\r\n1. [Enable the VAST Catalog](https://support.vastdata.com/s/article/UUID-43701591-dc5d-7342-e10f-050ebee46c22) on your cluster\r\n2. [Enable client access to the VAST Catalog](https://support.vastdata.com/s/article/Providing-Client-Access-to-VAST-Catalog-CLI)\r\n3. [Install & configure the VAST Connector for Trino](https://support.vastdata.com/s/article/UUID-58380a6a-6594-914d-004b-b37d5a06692b)\r\n4. Install the [Trino plugin for Grafana](https://grafana.com/grafana/plugins/trino-datasource/)\r\n5. Configure a Trino data source in Grafana\r\n5. Install the dashboard","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Trino","privacy":"public","createdAt":"2024-08-22T21:17:44.000Z","updatedAt":"2025-07-09T22:52:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21760"},{"rel":"revisions","href":"/dashboards/21760/revisions"},{"rel":"revision","href":"/dashboards/21760/revisions/3"},{"rel":"download","href":"/dashboards/21760/revisions/3/download"},{"rel":"org","href":"/orgs/vastdata"},{"rel":"images","href":"/dashboards/21760/images"},{"rel":"thumbnails","href":"/dashboards/21760/thumbnails"}],"datasourceSlugs":["trino-datasource"]},{"id":22509,"status":1,"statusCode":"active","orgId":1135806,"orgSlug":"vastdata","orgName":"VAST Data","slug":"vast-cluster-statistics-main","downloads":479,"revisionId":35394,"revision":1,"name":"VAST Cluster Statistics","description":"Dashboard for visualizing VAST cluster metrics","readme":"# Introduction\r\nThe [VAST Data Platform](https://www.vastdata.com/) unifies storage, database, and containerized compute into a single, scalable software platform to power AI & deep learning in modern data centers and clouds.\r\n\r\nIn addition to the in-depth analytics provided in the product UI, VAST clusters have built-in Prometheus exporters for easy integration into existing monitoring infrastructure.\r\n\r\nThis dashboard is one of a collection, each that focuses on a different set of metrics. The full collection is available from the [Exporting Metrics to Prometheus](https://support.vastdata.com/s/article/Exporting-Metrics-to-Prometheus-873208) article on our support site.\r\n\r\nThe full collection of dashboards include:\r\n* VAST Cluster Statistics (this one)\r\n* Alarms\r\n* CNodes\r\n* DNodes\r\n* Performance by Vip / Vippool\r\n* Protocols Metadata Statistics\r\n* Space Capacity + Quotas\r\n* Top Actors - Users\r\n* Top Actors - Views\r\n\r\n## Compatibility\r\nThis dashboard supports VAST 5.0-sp60 and later with the built-in Prometheus exporter. For a 4.7 dashboard, see [VAST 4.7 Cluster Statistics](https://grafana.com/grafana/dashboards/21157/).\r\n\r\n# Prometheus Configuration\r\nHere's an example `prometheus.yml` configuration:\r\n\r\n```yaml\r\nscrape_configs:\r\n  # Recommended scrape interval is 60s although 30s may work\r\n  # for smaller clusters. Very large clusters may require longer\r\n  # intervals and a higher scrape_timeout.\r\n  - job_name: 'vast_all'\r\n    metrics_path: '/api/prometheusmetrics/all'\r\n    scrape_interval: 60s\r\n    scrape_timeout: 45s\r\n\r\n    scheme: https\r\n    static_configs:\r\n      - targets: ['10.71.10.202:443']\r\n    tls_config:\r\n        insecure_skip_verify: true\r\n\r\n    basic_auth:\r\n       username: 'admin'\r\n       password: 'xxxxxx'\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-12-11T19:31:59.000Z","updatedAt":"2024-12-11T19:35:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22509"},{"rel":"revisions","href":"/dashboards/22509/revisions"},{"rel":"revision","href":"/dashboards/22509/revisions/1"},{"rel":"download","href":"/dashboards/22509/revisions/1/download"},{"rel":"org","href":"/orgs/vastdata"},{"rel":"images","href":"/dashboards/22509/images"},{"rel":"thumbnails","href":"/dashboards/22509/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24066,"status":1,"statusCode":"active","orgId":976349,"orgSlug":"markzleo","orgName":"markzleo","slug":"vast-dashboard","downloads":125,"revisionId":38387,"revision":1,"name":"Vast Dashboard","description":"vast dashboard","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-09-14T18:55:40.000Z","updatedAt":"2025-09-14T18:56:13.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24066"},{"rel":"revisions","href":"/dashboards/24066/revisions"},{"rel":"revision","href":"/dashboards/24066/revisions/1"},{"rel":"download","href":"/dashboards/24066/revisions/1/download"},{"rel":"org","href":"/orgs/markzleo"},{"rel":"images","href":"/dashboards/24066/images"},{"rel":"thumbnails","href":"/dashboards/24066/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":320,"status":1,"statusCode":"active","orgId":25587,"orgSlug":"sstarcher","orgName":"Shane Starcher","slug":"vault","downloads":1551,"revisionId":419,"revision":1,"name":"Vault","description":"Hashicorp Vault Metrics","readme":"Github - https://github.com/sstarcher/grafana-dashboards\r\n\r\nVault telemetry collected via statsite\r\n\r\n* https://www.vaultproject.io/docs/internals/telemetry.html\r\n* https://github.com/nyxcharon/docker-statsite","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":"statsd","datasource":"InfluxDB","privacy":"public","createdAt":"2016-08-13T18:19:34.000Z","updatedAt":"2016-09-20T18:03:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/320"},{"rel":"revisions","href":"/dashboards/320/revisions"},{"rel":"revision","href":"/dashboards/320/revisions/1"},{"rel":"download","href":"/dashboards/320/revisions/1/download"},{"rel":"org","href":"/orgs/sstarcher"},{"rel":"images","href":"/dashboards/320/images"},{"rel":"thumbnails","href":"/dashboards/320/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":25314,"status":1,"statusCode":"active","orgId":299646,"orgSlug":"adinhodovic","orgName":"adinhodovic","slug":"vault-overview","downloads":0,"revisionId":40834,"revision":3,"name":"Vault / Overview","description":"A dashboard that monitors Vault. 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Guidance found here: \r\nhttps://github.com/eric-becker/vdbench_graphite","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2018-12-12T00:45:29.000Z","updatedAt":"2018-12-12T00:48:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9504"},{"rel":"revisions","href":"/dashboards/9504/revisions"},{"rel":"revision","href":"/dashboards/9504/revisions/1"},{"rel":"download","href":"/dashboards/9504/revisions/1/download"},{"rel":"org","href":"/orgs/flyty"},{"rel":"images","href":"/dashboards/9504/images"},{"rel":"thumbnails","href":"/dashboards/9504/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":17045,"status":1,"statusCode":"active","orgId":400104,"orgSlug":"zamazan4ik","orgName":"zamazan4ik","slug":"vector","downloads":562,"revisionId":26159,"revision":1,"name":"Vector","description":"Vector Full Prometheus Dashboard","readme":"All metrics exported by Vector graphed.\r\n\r\nOnly requires the default job_name: vector, add as many targets as you need in ‘/etc/prometheus/prometheus.yml’.\r\n\r\n  - job_name: vector\r\n    static_configs:\r\n      - targets: ['localhost:9100']\r\n\r\nAvailable on Github: https://github.com/zamazan4ik/vector-community/blob/main/grafana_dashboards/full-dashboard.json","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-09-24T14:37:36.000Z","updatedAt":"2022-09-24T14:44:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17045"},{"rel":"revisions","href":"/dashboards/17045/revisions"},{"rel":"revision","href":"/dashboards/17045/revisions/1"},{"rel":"download","href":"/dashboards/17045/revisions/1/download"},{"rel":"org","href":"/orgs/zamazan4ik"},{"rel":"images","href":"/dashboards/17045/images"},{"rel":"thumbnails","href":"/dashboards/17045/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19611,"status":1,"statusCode":"active","orgId":947733,"orgSlug":"eodahee","orgName":"eodahee","slug":"vector-cluster-monitoring","downloads":21464,"revisionId":31816,"revision":3,"name":"Vector Cluster Monitoring","description":"Vector.dev Kubernetes cluster monitoring dashboard","readme":"## Revision (version info)\r\n- `2024-02-29` : using vector:0.36.0\r\n- `2023-10-05` : using vector:0.32.2\r\n\r\n## Summary\r\n**Monitoring vector clusters deployed in Kubernetes**\r\n- Kubernetes cluster info\r\n- Vector internal metrics\r\n- Kubernetes node info\r\n\r\n## Requirements\r\n- [node-exporter](https://hub.docker.com/r/prom/node-exporter)\r\n- [kube-state-metrics](https://quay.io/repository/coreos/kube-state-metrics)\r\n- [vector internal_metrics](https://vector.dev/docs/reference/configuration/sources/internal_metrics/)\r\n\r\n## Reference\r\n- https://grafana.com/grafana/dashboards/1860-node-exporter-full/","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-09-20T08:29:03.000Z","updatedAt":"2024-02-29T05:45:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19611"},{"rel":"revisions","href":"/dashboards/19611/revisions"},{"rel":"revision","href":"/dashboards/19611/revisions/3"},{"rel":"download","href":"/dashboards/19611/revisions/3/download"},{"rel":"org","href":"/orgs/eodahee"},{"rel":"images","href":"/dashboards/19611/images"},{"rel":"thumbnails","href":"/dashboards/19611/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21954,"status":1,"statusCode":"active","orgId":1229145,"orgSlug":"hatemmezlini1","orgName":"hatemmezlini1","slug":"vector-cluster-monitoring","downloads":1045,"revisionId":34370,"revision":1,"name":"Vector Cluster Monitoring","description":"Vector.dev Kubernetes cluster monitoring dashboard","readme":"This Grafana dashboard provides real-time monitoring of vector.dev as an agent, focusing on critical performance metrics such as network traffic, memory usage, and in-memory buffer sizes. It visualizes traffic routing across different vector.dev components, helping users to track data flow and detect potential bottlenecks or performance issues. Designed to offer clarity and insight, this dashboard is an essential tool for anyone looking to optimize and understand the behavior of their vector.dev deployments.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-09-23T19:56:38.000Z","updatedAt":"2024-09-23T20:02:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21954"},{"rel":"revisions","href":"/dashboards/21954/revisions"},{"rel":"revision","href":"/dashboards/21954/revisions/1"},{"rel":"download","href":"/dashboards/21954/revisions/1/download"},{"rel":"org","href":"/orgs/hatemmezlini1"},{"rel":"images","href":"/dashboards/21954/images"},{"rel":"thumbnails","href":"/dashboards/21954/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19649,"status":1,"statusCode":"active","orgId":952783,"orgSlug":"cboudereau","orgName":"cboudereau","slug":"vector-monitoring","downloads":10804,"revisionId":30160,"revision":1,"name":"Vector Monitoring","description":"This Grafana dashboard to monitor Vector.dev community to properly monitor agent, pipeline and dead letter queue ","readme":"[Vector.dev](https://vector.dev/) community dashboard compatible with GrafanaCloud\r\n\r\nThis dashboard is based on [USE method](https://www.brendangregg.com/usemethod.html) to properly monitor agent.\r\n\r\nYou can find [associated vector configuration](https://github.com/o11y-weekly/o11y-weekly.github.io/tree/main/2023-11-23_Vector_in_action/vector) to support dead letter queue and logs from vector.dev\r\n\r\nReferences: \r\n- [Vector Intro](https://o11y-weekly.github.io/2023-11-16_Meet_Vector/)\r\n- [full vector hands-on with docker compose](https://o11y-weekly.github.io/2023-11-23_Vector_in_action/)\r\n\r\nThis dashboard is hosted on [github](https://github.com/cboudereau/vector-community/)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2023-09-25T14:21:33.000Z","updatedAt":"2024-01-10T14:20:39.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19649"},{"rel":"revisions","href":"/dashboards/19649/revisions"},{"rel":"revision","href":"/dashboards/19649/revisions/1"},{"rel":"download","href":"/dashboards/19649/revisions/1/download"},{"rel":"org","href":"/orgs/cboudereau"},{"rel":"images","href":"/dashboards/19649/images"},{"rel":"thumbnails","href":"/dashboards/19649/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":15105,"status":1,"statusCode":"active","orgId":552448,"orgSlug":"malinin","orgName":"malinin","slug":"vector-stats","downloads":242472,"revisionId":22618,"revision":1,"name":"vector.dev stats","description":"Dashboard for base internal vector.dev metrics.\r\n\r\ninputs, dedupe stats, synks","readme":"Prometheus source:  \r\n\r\n  - job_name: 'vector'\r\n\r\n    scrape_interval: 1s\r\n\r\n    static_configs:\r\n\r\n      - targets: ['11.22.33.44:9598']\r\n\r\nVector:\r\n\r\n[sources.metrics_id]\r\n\r\n  type = \"internal_metrics\"\r\n\r\n  scrape_interval_secs = 1\r\n\r\n\r\n[sinks.sync_metrics_id]\r\n\r\n  type = \"prometheus_exporter\"\r\n\r\n  inputs = [ \"metrics_id\" ]\r\n\r\n  address = \"0.0.0.0:9598\"\r\n\r\n  default_namespace = \"service\"\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-10-13T17:33:11.000Z","updatedAt":"2021-10-13T17:43:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":1,"links":[{"rel":"self","href":"/dashboards/15105"},{"rel":"revisions","href":"/dashboards/15105/revisions"},{"rel":"revision","href":"/dashboards/15105/revisions/1"},{"rel":"download","href":"/dashboards/15105/revisions/1/download"},{"rel":"org","href":"/orgs/malinin"},{"rel":"images","href":"/dashboards/15105/images"},{"rel":"thumbnails","href":"/dashboards/15105/thumbnails"}]},{"id":21630,"status":1,"statusCode":"active","orgId":973399,"orgSlug":"jantrachsler","orgName":"Fury Code","slug":"veeam-office-365-overview","downloads":282,"revisionId":33823,"revision":1,"name":"Veeam Backup Office 365 Overview","description":"With this dashboard, you can monitor your Veeam Office backups. You can find a custom collector in our GitHub repository.","readme":"With this dashboard, you can monitor your Veeam Office backups. It provides an overview of:\r\n\r\n- The Veeam version\r\n- The total threads\r\n- The status of your jobs\r\n- The duration of your jobs\r\n- The processing rate of your jobs\r\n- The transferred data of your jobs\r\n- The read speed of your jobs\r\n- The write speed of your jobs\r\n- How many users are licensed\r\n- How many new users are new\r\n- Which users are licensed\r\n- Which users are protected\r\n- How the storage is used\r\n\r\nYou can find a custom collector and more information here: [Repository](https://github.com/fury-code/veeam-metrics-collector/tree/main)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB, Prometheus","privacy":"public","createdAt":"2024-08-02T06:23:20.000Z","updatedAt":"2024-08-07T06:19:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21630"},{"rel":"revisions","href":"/dashboards/21630/revisions"},{"rel":"revision","href":"/dashboards/21630/revisions/1"},{"rel":"download","href":"/dashboards/21630/revisions/1/download"},{"rel":"org","href":"/orgs/jantrachsler"},{"rel":"images","href":"/dashboards/21630/images"},{"rel":"thumbnails","href":"/dashboards/21630/thumbnails"}],"datasourceSlugs":["influxdb","prometheus"]},{"id":21629,"status":1,"statusCode":"active","orgId":973399,"orgSlug":"jantrachsler","orgName":"Fury Code","slug":"veeam-backup-overview","downloads":388,"revisionId":33822,"revision":1,"name":"Veeam Backup Overview","description":"With this dashboard, you can monitor your Veeam backups. You can find a custom collector in our GitHub repository.","readme":"With this dashboard, you can monitor your Veeam backups. It provides an overview of:\r\n\r\n- The Veeam version\r\n- The server it’s running on\r\n- The status of your jobs\r\n\r\nYou can find a custom collector and more information here: [Repository](https://github.com/fury-code/veeam-metrics-collector/tree/main)\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB, Prometheus","privacy":"public","createdAt":"2024-08-02T06:16:34.000Z","updatedAt":"2024-08-02T06:22:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21629"},{"rel":"revisions","href":"/dashboards/21629/revisions"},{"rel":"revision","href":"/dashboards/21629/revisions/1"},{"rel":"download","href":"/dashboards/21629/revisions/1/download"},{"rel":"org","href":"/orgs/jantrachsler"},{"rel":"images","href":"/dashboards/21629/images"},{"rel":"thumbnails","href":"/dashboards/21629/thumbnails"}],"datasourceSlugs":["influxdb","prometheus"]},{"id":21065,"status":1,"statusCode":"active","orgId":1065268,"orgSlug":"kastenio","orgName":"kastenio","slug":"k10-dashboard","downloads":3452,"revisionId":34679,"revision":2,"name":"Veeam Kasten","description":"Provides visualizations of operational metrics for a single Veeam Kasten instance","readme":"## Veeam Kasten Overview\r\n\r\nThe Veeam Kasten data management platform, purpose-built for Kubernetes, provides enterprise operations teams an easy-to-use, scalable, and secure system for backup/restore, disaster recovery, and mobility of Kubernetes applications.\r\n\r\nThe Veeam Kasten dashboard for Grafana provides visualizations of key operational metrics from the built-in Prometheus server of an individual Kasten instance, including:\r\n\r\n- Application Compliance\r\n- Action Completions & Failures\r\n- Action Duration\r\n- Resource Utilization\r\n- *and more!*\r\n\r\nSee [docs.kasten.io](https://docs.kasten.io/latest/operating/monitoring/#using-externally-installed-grafana) for additional details on configuring Veeam Kasten monitoring using an external Grafana instance.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2024-05-13T11:24:23.000Z","updatedAt":"2025-12-10T14:12:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21065"},{"rel":"revisions","href":"/dashboards/21065/revisions"},{"rel":"revision","href":"/dashboards/21065/revisions/2"},{"rel":"download","href":"/dashboards/21065/revisions/2/download"},{"rel":"org","href":"/orgs/kastenio"},{"rel":"images","href":"/dashboards/21065/images"},{"rel":"thumbnails","href":"/dashboards/21065/thumbnails"}]},{"id":25200,"status":1,"statusCode":"active","orgId":1065268,"orgSlug":"kastenio","orgName":"kastenio","slug":"veeam-kasten-red-hat-acm-multi-cluster-observability","downloads":12,"revisionId":40745,"revision":3,"name":"Veeam Kasten Red Hat ACM Multi-Cluster Observability","description":"Veeam Kasten Kubernetes protection observability dashboard for Red Hat Advanced Cluster Management (ACM) with Multi-Cluster Observability (MCO).","readme":"This dashboard delivers a unified view of Veeam Kasten backup status and protection health across all clusters managed by Red Hat Advanced Cluster Management (RHACM) with Multi-Cluster Observability (MCO). It is accessible via the Grafana instance which ships with Red Hat ACM.\r\n\r\nKasten metrics flow from each managed cluster via Prometheus `remote_write` to the MCO Thanos receive endpoint. The dashboard queries Thanos and surfaces them in the ACM Observe → Dashboards → General folder, with variable filters for **cluster**, **policy**, and **application**.\r\n\r\n**What this dashboard shows:**\r\n\r\n- **Backup job history** — completed, failed, and skipped action counts over time, per cluster\r\n- **Restore point inventory** — local snapshot and export restore point counts by cluster\r\n- **Policy compliance** — backup success/failure rates by policy name and application\r\n- **Storage utilization** — local snapshot storage usage and PVC capacity consumed by Kasten workloads\r\n\r\n**Data source:** Prometheus / Thanos (MCO hub)\r\n\r\n**Deployment method:** ConfigMap injection into ACM MCO Grafana (label `grafana-custom-dashboard: \"true\"` on the ConfigMap in the `open-cluster-management-observability` namespace). No direct Grafana API access required.\r\n\r\n**Prerequisites:**\r\n- RHACM hub cluster with MCO deployed\r\n- Managed clusters running Kasten with `remote_write` configured to MCO Thanos (port 19291)\r\n- Kubelet PV metrics added to the ACM observability allowlist (`kubelet_volume_stats_used_bytes`, `kubelet_volume_stats_capacity_bytes`)\r\n- OpenShift CLI (`oc`) with access to the hub cluster\r\n\r\nSee the [Kasten documentation](https://docs.kasten.io) for details on configuring `remote_write` for Red Hat ACM and for details on deploying this dashboard via an OpenShift configmap.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-21T22:03:38.000Z","updatedAt":"2026-05-13T18:49:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25200"},{"rel":"revisions","href":"/dashboards/25200/revisions"},{"rel":"revision","href":"/dashboards/25200/revisions/3"},{"rel":"download","href":"/dashboards/25200/revisions/3/download"},{"rel":"org","href":"/orgs/kastenio"},{"rel":"images","href":"/dashboards/25200/images"},{"rel":"thumbnails","href":"/dashboards/25200/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13986,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"veeam-one-veeam-backup-and-replication","downloads":742,"revisionId":20493,"revision":1,"name":"Veeam ONE - Veeam Backup and Replication","description":"Grafana Dashboard for Veeam ONE (experimental) - This specific Dashboard is to visualize the Veeam Backup and Replication data that Veeam ONE has on the Database.","readme":"EXPERIMENTAL AND UNSUPPORTED\nJust download the latest Veeam ONE script version from GitHub [https://raw.githubusercontent.com/jorgedlcruz/veeam-one-grafana/main/veeam_one.sh](https://raw.githubusercontent.com/jorgedlcruz/veeam-one-grafana/main/veeam_one.sh) and change the Configuration section within your details:\n\n```\nveeamInfluxDBURL=\"YOURINFLUXSERVER\" ##Use https://fqdn or https://IP in case you use SSL\nveeamInfluxDBPort=\"8086\" #Default Port\nveeamInfluxDB=\"YOURINFLUXDB\" #Default Database\nveeamInfluxDBUser=\"YOURINFLUXUSER\" #User for Database\nveeamInfluxDBPassword=\"YOURINFLUXPASS\" #Password for Database\n\n# Endpoint URL for login action\nveeamUsername=\"YOURVEEAMONEUSER\" #Usually domain\\user or user@domain.tld\nveeamPassword=\"YOURVEEAMONEPASS\"\nveeamONEServer=\"https://YOURVEEAMONEIP\" #You can use FQDN if you like as well\nveeamONEPort=\"1239\" #Default Port\n``` \nOnce the changes are done, make the script executable with chmod:\n```\nchmod +x veeam_one.sh\n``` \nThe output of the command should be something like the next, without errors:\n```\nWriting veeam_ONE_repositories to InfluxDB\nHTTP/1.1 204 No Content\nContent-Type: application/json\nRequest-Id: 9e9c517e-7a11-11eb-8acb-0050569017a8\nX-Influxdb-Build: OSS\nX-Influxdb-Version: 1.8.4\nX-Request-Id: 9e9c517e-7a11-11eb-8acb-0050569017a8\nDate: Sun, 28 Feb 2021 22:09:25 GMT\n``` \nIf so, please now add this script to your crontab, like for example every 30 minutes:\n```\n*/30 * * * * /home/oper/veeam_one.sh >> /var/log/veeamone.log 2>&1\n``` \n\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\n![alt tag](https://www.jorgedelacruz.es/wp-content/uploads/2021/02/vone-grafana-001-1.png)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2021-03-01T00:12:39.000Z","updatedAt":"2021-03-01T00:16:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":1,"links":[{"rel":"self","href":"/dashboards/13986"},{"rel":"revisions","href":"/dashboards/13986/revisions"},{"rel":"revision","href":"/dashboards/13986/revisions/1"},{"rel":"download","href":"/dashboards/13986/revisions/1/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/13986/images"},{"rel":"thumbnails","href":"/dashboards/13986/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12881,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"veeam-repository-disk-savings-using-fast-clone","downloads":467,"revisionId":18619,"revision":1,"name":"Veeam Repository Disk Savings using fast-clone","description":"A Grafana Dashboard to check ReFS and XFS fast-clone disk savings from Veeam Backup & Replication ","readme":"Just download the latest scripts for either your ReFS or XFS Repositories from GitHub [https://github.com/jorgedlcruz/veeam-fastclone-stats/raw/master/veeam_refs_savings.ps1](https://github.com/jorgedlcruz/veeam-fastclone-stats/raw/master/veeam_refs_savings.ps1) or [https://github.com/jorgedlcruz/veeam-fastclone-stats/raw/master/veeam_xfs_savings.sh](https://github.com/jorgedlcruz/veeam-fastclone-stats/raw/master/veeam_xfs_savings.sh) and change the Configuration section within your details:\n\nFor PowerShell\n\n```\n##\n# Configurations\n##\n# Logical Volume with ReFS enabled\n$dir = \"T:\\\"\n# Path to the blockstat.exe and for the output path\n$exe = \"C:\\blockstat\\blockstat.exe\"\n$listfilepath = \"C:\\blockstat\\in.txt\"\n$outputpath = \"C:\\blockstat\\out.xml\"\n$type=\"ReFS\"\n\n# Endpoint URL for InfluxDB\n$veeamInfluxDBURL=\"http://YOURINFLUXSERVERIP\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL\n$veeamInfluxDBPort=\"8086\" #Default Port\n$veeamInfluxDB=\"telegraf\" #Default Database\n$veeamInfluxDBUser=\"USER\" #User for Database\n$veeamInfluxDBPassword='PASSWORD' | ConvertTo-SecureString -asPlainText -Force\n``` \n\nFor the Bash Shell Script\n\n```\n##\n# Configurations\n##\n# Endpoint URL for InfluxDB\nveeamInfluxDBURL=\"http://YOURINFLUXSERVERIP\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL\nveeamInfluxDBPort=\"8086\" #Default Port\nveeamInfluxDB=\"telegraf\" #Default Database\nveeamInfluxDBUser=\"USER\" #User for Database\nveeamInfluxDBPassword='PASSWORD' #Password for Database\nveeamXFSMount=\"/backups/\" #Your XFS mount point\nveeamRepoName=\"VEEAM-XFS-001\" #Your XFS Repo Name in Veeam Backup & Replication Server\ntype=\"XFS\"\n``` \nOnce the changes are done, make the script executable with chmod:\n```\nchmod +x veeam_xfs_savings.sh\n``` \nThe output of the command should be something like the next, without errors:\n```\nWriting veeam_xfs_savings to InfluxDB\nHTTP/1.1 204 No Content\nContent-Type: application/json\nRequest-Id: 98793b48-e51b-11ea-8307-dca632b112f7\nX-Influxdb-Build: OSS\nX-Influxdb-Version: 1.8.2\nX-Request-Id: 98793b48-e51b-11ea-8307-dca632b112f7\nDate: Sun, 23 Aug 2020 08:35:27 GMT\n\nWriting veeam_xfs_savings to InfluxDB\nHTTP/1.1 204 No Content\nContent-Type: application/json\nRequest-Id: 9887b0af-e51b-11ea-8308-dca632b112f7\nX-Influxdb-Build: OSS\nX-Influxdb-Version: 1.8.2\nX-Request-Id: 9887b0af-e51b-11ea-8308-dca632b112f7\nDate: Sun, 23 Aug 2020 08:35:27 GMT\n``` \nIf so, please now add this script to your crontab, like for example every 24 hours:\n```\n0 3 * * * /home/oper/veeam_xfs_savings.sh >> /var/log/veeam_veeam_xfs_savings.log 2>&1\n``` \n\nThen download or import this Dashboard to your Grafana, and you should see something similar to the next:\n![alt tag](https://www.jorgedelacruz.es/wp-content/uploads/2020/08/grafana-refs-xfs-001.png)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-08-23T16:17:56.000Z","updatedAt":"2020-08-23T16:24:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12881"},{"rel":"revisions","href":"/dashboards/12881/revisions"},{"rel":"revision","href":"/dashboards/12881/revisions/1"},{"rel":"download","href":"/dashboards/12881/revisions/1/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/12881/images"},{"rel":"thumbnails","href":"/dashboards/12881/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14842,"status":1,"statusCode":"active","orgId":529140,"orgSlug":"irvanmohamad","orgName":"irvanmohamad","slug":"vegeta-test-results-with-influxdb-fixed","downloads":373,"revisionId":22091,"revision":1,"name":"Vegeta 12 - InfluxDB 2 - Grafana 8","description":"View your performance test results LIVE with InfluxDB 2.0 !!\r\n\r\nThis dashboard connects with InfluxDB and get Vegeta test data in to panel. 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This dashboard visualizes the following data:\r\n\r\n- Current usage\r\n- Lookup hits\r\n- Fetches and evictions\r\n- Uploads from depot to communal storage\r\n\r\n**IMPORTANT**:\r\nTo access Prometheus metrics, Vertica requires that you configure the [HTTPS service](https://docs.vertica.com/latest/en/admin/managing-db/https-service) for certificate authentication.\r\n\r\n\r\n## Vertica dashboards\r\n\r\nVertica recommends running **Vertica Depot (Prometheus)** with other Vertica dashboards that use Prometheus as a data source:\r\n\r\n- [Vertica Overview (Prometheus)](https://grafana.com/grafana/dashboards/19917-vertica-overview-prometheus/)\r\n- [Vertica Queries (Prometheus)](https://grafana.com/grafana/dashboards/19915-vertica-queries-prometheus/)\r\n- [Vertica Resource Management (Prometheus)](https://grafana.com/grafana/dashboards/19916-vertica-resource-management-prometheus/)\r\n\r\n\r\n## Additional resources\r\n\r\nThese resources provide details about Vertica and Prometheus:\r\n\r\n- [Prometheus metrics](https://docs.vertica.com/latest/en/admin/managing-db/https-service/prometheus-metrics/): comprehensive list of Prometheus metrics that Vertica supports.\r\n- [vertica/vertica-kubernetes](https://github.com/vertica/vertica-kubernetes): Vertica on Kubernetes GitHub repository.\r\n- [Prometheus integration](https://docs.vertica.com/latest/en/containerized/db-operator/prometheus-integration/): configure Vertica on Kubernetes with Prometheus.\r\n\r\nAvailable on [GitHub](https://github.com/vertica/grafana-dashboards).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-06T19:45:54.000Z","updatedAt":"2023-11-10T19:34:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19914"},{"rel":"revisions","href":"/dashboards/19914/revisions"},{"rel":"revision","href":"/dashboards/19914/revisions/1"},{"rel":"download","href":"/dashboards/19914/revisions/1/download"},{"rel":"org","href":"/orgs/vertica"},{"rel":"images","href":"/dashboards/19914/images"},{"rel":"thumbnails","href":"/dashboards/19914/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19917,"status":1,"statusCode":"active","orgId":168008,"orgSlug":"vertica","orgName":"Vertica","slug":"vertica-overview-prometheus","downloads":3383,"revisionId":30613,"revision":1,"name":"Vertica Overview (Prometheus)","description":"General cluster overview.","readme":"View the overall state of your cluster. This dashboard is designed to be the landing page for Vertica Grafana dashboards.\r\n\r\nThis dashboard visualizes the following data:\r\n\r\n- Total number of nodes and their state, data size, and disk usage\r\n- Query request and processing statistics\r\n- Number of errors\r\n- User and license information\r\n- Overall cluster health\r\n\r\n**IMPORTANT**:\r\nTo access Prometheus metrics, Vertica requires that you configure the [HTTPS service](https://docs.vertica.com/latest/en/admin/managing-db/https-service) for certificate authentication.\r\n\r\n## Vertica dashboards\r\n\r\nVertica recommends running **Vertica Overview (Prometheus)** with other Vertica dashboards that use Prometheus as a data source:\r\n\r\n- [Vertica Queries (Prometheus)](https://grafana.com/grafana/dashboards/19915-vertica-queries-prometheus/)\r\n- [Vertica Resource Management (Prometheus)](https://grafana.com/grafana/dashboards/19916-vertica-resource-management-prometheus/)\r\n- [Vertica Depot (Prometheus)](https://grafana.com/grafana/dashboards/19914-vertica-depot-prometheus/)\r\n\r\n## Additional resources\r\n\r\nThese resources provide details about Vertica and Prometheus:\r\n\r\n- [Prometheus metrics](https://docs.vertica.com/latest/en/admin/managing-db/https-service/prometheus-metrics/): comprehensive list of Prometheus metrics that Vertica supports.\r\n- [vertica/vertica-kubernetes](https://github.com/vertica/vertica-kubernetes): Vertica on Kubernetes GitHub repository.\r\n- [Prometheus integration](https://docs.vertica.com/latest/en/containerized/db-operator/prometheus-integration/): configure Vertica on Kubernetes with Prometheus.\r\n\r\nAvailable on [GitHub](https://github.com/vertica/grafana-dashboards).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-06T19:52:23.000Z","updatedAt":"2023-11-10T19:35:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19917"},{"rel":"revisions","href":"/dashboards/19917/revisions"},{"rel":"revision","href":"/dashboards/19917/revisions/1"},{"rel":"download","href":"/dashboards/19917/revisions/1/download"},{"rel":"org","href":"/orgs/vertica"},{"rel":"images","href":"/dashboards/19917/images"},{"rel":"thumbnails","href":"/dashboards/19917/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16615,"status":1,"statusCode":"active","orgId":168008,"orgSlug":"vertica","orgName":"Vertica","slug":"vertica-performance-dashboard","downloads":379505,"revisionId":32953,"revision":4,"name":"Vertica Performance Dashboard","description":"Performance metrics for Vertica.","readme":"This dashboard uses the [Vertica plugin for Grafana](https://grafana.com/grafana/plugins/vertica-grafana-datasource/) and visualizes the following data:\r\n\r\n- CPU Usage\r\n- Network received and transmitted in KB/sec\r\n- IO usage in KB/sec\r\n- Memory usage in %\r\n- CPU usage in %\r\n- IO Read and Write % sec\r\n- Memory Status\r\n- Resource Utilization (ms)\r\n- Resource Memory InUse\r\n- Memory Usage in %\r\n- Network Received and Transmitted per sec\r\n- Last 10 error messages\r\n- Last 10 SQL statements executed\r\n- Last 10 Queries Requested and its duration\r\n- Event Status\r\n\r\n## Additional Vertica dashboards\r\n\r\nThese Vertica dashboards use Prometheus as a data source:\r\n\r\n- [Vertica Overview (Prometheus)](https://grafana.com/grafana/dashboards/19917-vertica-overview-prometheus/)\r\n- [Vertica Queries (Prometheus)](https://grafana.com/grafana/dashboards/19915-vertica-queries-prometheus/)\r\n- [Vertica Resource Management (Prometheus)](https://grafana.com/grafana/dashboards/19916-vertica-resource-management-prometheus/)\r\n- [Vertica Depot (Prometheus)](https://grafana.com/grafana/dashboards/19914-vertica-depot-prometheus/)\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Vertica","privacy":"public","createdAt":"2022-07-20T18:18:01.000Z","updatedAt":"2024-05-30T19:08:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16615"},{"rel":"revisions","href":"/dashboards/16615/revisions"},{"rel":"revision","href":"/dashboards/16615/revisions/4"},{"rel":"download","href":"/dashboards/16615/revisions/4/download"},{"rel":"org","href":"/orgs/vertica"},{"rel":"images","href":"/dashboards/16615/images"},{"rel":"thumbnails","href":"/dashboards/16615/thumbnails"}],"datasourceSlugs":["vertica-grafana-datasource"]},{"id":23020,"status":1,"statusCode":"active","orgId":1366148,"orgSlug":"majedmajed5stars","orgName":"majedmajed5stars","slug":"vertica-performance-dashboard","downloads":256,"revisionId":36360,"revision":1,"name":"Vertica Performance Dashboard","description":"Performance metrics for Vertica.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Vertica","privacy":"public","createdAt":"2025-03-04T19:44:32.000Z","updatedAt":"2025-03-04T19:44:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23020"},{"rel":"revisions","href":"/dashboards/23020/revisions"},{"rel":"revision","href":"/dashboards/23020/revisions/1"},{"rel":"download","href":"/dashboards/23020/revisions/1/download"},{"rel":"org","href":"/orgs/majedmajed5stars"},{"rel":"images","href":"/dashboards/23020/images"},{"rel":"thumbnails","href":"/dashboards/23020/thumbnails"}],"datasourceSlugs":["vertica-grafana-datasource"]},{"id":19915,"status":1,"statusCode":"active","orgId":168008,"orgSlug":"vertica","orgName":"Vertica","slug":"vertica-queries-prometheus","downloads":3199,"revisionId":30611,"revision":1,"name":"Vertica Queries (Prometheus)","description":"Monitors queries in a cluster.","readme":"View details about [queries](https://docs.vertica.com/latest/en/data-analysis/queries/) that are currently running in the cluster. This dashboard visualizes the following data:\r\n\r\n- Total query request success and failure rate\r\n- Running and queued queries, by node and by resource pool\r\n- Completed and failed queries, by node and by resource pool\r\n- User query type and execution time per type\r\n\r\n**IMPORTANT**:\r\nTo access Prometheus metrics, Vertica requires that you configure the [HTTPS service](https://docs.vertica.com/latest/en/admin/managing-db/https-service) for certificate authentication.\r\n\r\n## Vertica dashboards\r\n\r\nVertica recommends running **Vertica Queries (Prometheus)** with other Vertica dashboards that use Prometheus as a data source:\r\n\r\n- [Vertica Overview (Prometheus)](https://grafana.com/grafana/dashboards/19917-vertica-overview-prometheus/)\r\n- [Vertica Resource Management (Prometheus)](https://grafana.com/grafana/dashboards/19916-vertica-resource-management-prometheus/)\r\n- [Vertica Depot (Prometheus)](https://grafana.com/grafana/dashboards/19914-vertica-depot-prometheus/)\r\n\r\n## Additional resources\r\n\r\nThese resources provide details about Vertica and Prometheus:\r\n\r\n- [Prometheus metrics](https://docs.vertica.com/latest/en/admin/managing-db/https-service/prometheus-metrics/): comprehensive list of Prometheus metrics that Vertica supports.\r\n- [vertica/vertica-kubernetes](https://github.com/vertica/vertica-kubernetes): Vertica on Kubernetes GitHub repository.\r\n- [Prometheus integration](https://docs.vertica.com/latest/en/containerized/db-operator/prometheus-integration/): configure Vertica on Kubernetes with Prometheus.\r\n\r\nAvailable on [GitHub](https://github.com/vertica/grafana-dashboards).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-06T19:47:01.000Z","updatedAt":"2023-11-10T19:33:48.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19915"},{"rel":"revisions","href":"/dashboards/19915/revisions"},{"rel":"revision","href":"/dashboards/19915/revisions/1"},{"rel":"download","href":"/dashboards/19915/revisions/1/download"},{"rel":"org","href":"/orgs/vertica"},{"rel":"images","href":"/dashboards/19915/images"},{"rel":"thumbnails","href":"/dashboards/19915/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19916,"status":1,"statusCode":"active","orgId":168008,"orgSlug":"vertica","orgName":"Vertica","slug":"vertica-resource-management-prometheus","downloads":3331,"revisionId":30612,"revision":1,"name":"Vertica Resource Management (Prometheus)","description":"Monitors resource pool usage.","readme":"View details about [user-defined](https://docs.vertica.com/latest/en/sql-reference/statements/create-statements/create-resource-pool/) and [built-in](https://docs.vertica.com/latest/en/sql-reference/statements/create-statements/create-resource-pool/built-pools/) resource pool usage. This dashboard visualizes the following data:\r\n\r\n- Pool configuration values\r\n- Per node pool usage activity and statistics\r\n- Per node disk storage state\r\n- Per node storage location performance\r\n\r\n**IMPORTANT**:\r\nTo access Prometheus metrics, Vertica requires that you configure the [HTTPS service](https://docs.vertica.com/latest/en/admin/managing-db/https-service) for certificate authentication.\r\n\r\n## Vertica dashboards\r\n\r\nVertica recommends running **Vertica Resource Management (Prometheus)** with other Vertica dashboards that use Prometheus as a data source:\r\n\r\n- [Vertica Overview (Prometheus)](https://grafana.com/grafana/dashboards/19917-vertica-overview-prometheus/)\r\n- [Vertica Queries (Prometheus)](https://grafana.com/grafana/dashboards/19915-vertica-queries-prometheus/)\r\n- [Vertica Depot (Prometheus)](https://grafana.com/grafana/dashboards/19914-vertica-depot-prometheus/)\r\n\r\n## Additional resources\r\n\r\nThese resources provide details about Vertica and Prometheus:\r\n\r\n- [Prometheus metrics](https://docs.vertica.com/latest/en/admin/managing-db/https-service/prometheus-metrics/): comprehensive list of Prometheus metrics that Vertica supports.\r\n- [vertica/vertica-kubernetes](https://github.com/vertica/vertica-kubernetes): Vertica on Kubernetes GitHub repository.\r\n- [Prometheus integration](https://docs.vertica.com/latest/en/containerized/db-operator/prometheus-integration/): configure Vertica on Kubernetes with Prometheus.\r\n\r\nAvailable on [GitHub](https://github.com/vertica/grafana-dashboards).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-06T19:47:50.000Z","updatedAt":"2023-11-10T19:34:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19916"},{"rel":"revisions","href":"/dashboards/19916/revisions"},{"rel":"revision","href":"/dashboards/19916/revisions/1"},{"rel":"download","href":"/dashboards/19916/revisions/1/download"},{"rel":"org","href":"/orgs/vertica"},{"rel":"images","href":"/dashboards/19916/images"},{"rel":"thumbnails","href":"/dashboards/19916/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24125,"status":1,"statusCode":"active","orgId":285936,"orgSlug":"arnaudlemaignen","orgName":"arnaudlemaignen","slug":"vertical-pod-recommender","downloads":107,"revisionId":38477,"revision":1,"name":"Vertical Pod Recommender","description":"A dashboard that monitors Kubernetes and focuses on giving a overview for vertical pod recommender.","readme":"### [VPR](https://github.com/arnaudlemaignen/grafana-dashboards/tree/master/prometheus-ds/vpr)\r\n\r\nThis dashboard needs the [VPR exporter](https://github.com/arnaudlemaignen/vpr-exporter) to be running and scraped.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus, Infinity","privacy":"public","createdAt":"2025-09-20T01:02:40.000Z","updatedAt":"2025-09-28T14:03:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24125"},{"rel":"revisions","href":"/dashboards/24125/revisions"},{"rel":"revision","href":"/dashboards/24125/revisions/1"},{"rel":"download","href":"/dashboards/24125/revisions/1/download"},{"rel":"org","href":"/orgs/arnaudlemaignen"},{"rel":"images","href":"/dashboards/24125/images"},{"rel":"thumbnails","href":"/dashboards/24125/thumbnails"}],"datasourceSlugs":["prometheus","yesoreyeram-infinity-datasource"]},{"id":23182,"status":1,"statusCode":"active","orgId":677034,"orgSlug":"yass","orgName":"Fayezvip","slug":"vertiv","downloads":290,"revisionId":36681,"revision":1,"name":"Vertiv NUT UPS Dashboard","description":"A professional and modern Grafana dashboard to monitor UPS devices using [Network UPS Tools (NUT)](https://networkupstools.org/) via Prometheus.","readme":"# Vertiv NUT UPS Dashboard\r\n\r\nA professional and modern Grafana dashboard to monitor UPS devices using [Network UPS Tools (NUT)](https://networkupstools.org/) via Prometheus.\r\n\r\nBuilt to work with:\r\n- ⚡️ Multiple UPSes (Vertiv, APC, etc.)\r\n- 📊 Prometheus Exporter: [vertiv-nut-exporter](https://github.com/fayezvip/vertiv-nut-exporter)\r\n- 🐳 Docker Image: [Docker Hub](https://hub.docker.com/r/fayezvip/vertiv-nut-exporter)\r\n\r\n## 📋 Features\r\n- Battery Charge Gauge & Time Remaining\r\n- Status (Online/On Battery)\r\n- UPS Temperature Graphs\r\n- Multiple UPS support\r\n- Easy to deploy, lightweight, and responsive\r\n\r\n## 🧰 Requirements\r\n- Prometheus scraping metrics from your UPS exporter\r\n- Metrics path: `/metrics`\r\n- Recommended scrape interval: `30s` or `1m`\r\n\r\n## 📦 How to Use\r\n\r\n1. Deploy [vertiv-nut-exporter](https://github.com/fayezvip/vertiv-nut-exporter) using Docker:\r\n\r\n```bash\r\ndocker run -d \\\r\n  -p 9000:9000 \\\r\n  -v /path/to/config.json:/var/www/html/config.json \\\r\n  fayezvip/vertiv-nut-exporter:latest\r\n```\r\n2- Import this dashboard into Grafana (v10+)\r\n\r\n3- Set Prometheus as your data source\r\n\r\n4- Done ✅\r\n\r\n\r\n💻 Open Source & Contributions\r\nGitHub: [github.com/fayezvip/vertiv-nut-exporter](https://github.com/fayezvip/vertiv-nut-exporter)\r\n\r\nDocker: [hub.docker.com/r/fayezvip/vertiv-nut-exporter](https://hub.docker.com/r/fayezvip/vertiv-nut-exporter)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-03T00:09:02.000Z","updatedAt":"2025-04-03T00:49:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23182"},{"rel":"revisions","href":"/dashboards/23182/revisions"},{"rel":"revision","href":"/dashboards/23182/revisions/1"},{"rel":"download","href":"/dashboards/23182/revisions/1/download"},{"rel":"org","href":"/orgs/yass"},{"rel":"images","href":"/dashboards/23182/images"},{"rel":"thumbnails","href":"/dashboards/23182/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":7136,"status":1,"statusCode":"active","orgId":171524,"orgSlug":"carlphilipp","orgName":"carlphilipp","slug":"vertx-prom","downloads":958,"revisionId":9677,"revision":1,"name":"Vertx-Prom","description":"test","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-07-23T21:33:39.000Z","updatedAt":"2018-07-23T21:34:01.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/7136"},{"rel":"revisions","href":"/dashboards/7136/revisions"},{"rel":"revision","href":"/dashboards/7136/revisions/1"},{"rel":"download","href":"/dashboards/7136/revisions/1/download"},{"rel":"org","href":"/orgs/carlphilipp"},{"rel":"images","href":"/dashboards/7136/images"},{"rel":"thumbnails","href":"/dashboards/7136/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11018,"status":1,"statusCode":"active","orgId":302810,"orgSlug":"oyvind","orgName":"oyvind","slug":"vespa-metrics-oss","downloads":418,"revisionId":15403,"revision":1,"name":"Vespa metrics","description":"Vespa engine dashboard","readme":"Visualize metrics from vespa engine exporter\n\nhttps://github.com/vespa-engine/vespa_exporter\n\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-10-21T13:14:32.000Z","updatedAt":"2019-10-21T13:28:33.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11018"},{"rel":"revisions","href":"/dashboards/11018/revisions"},{"rel":"revision","href":"/dashboards/11018/revisions/1"},{"rel":"download","href":"/dashboards/11018/revisions/1/download"},{"rel":"org","href":"/orgs/oyvind"},{"rel":"images","href":"/dashboards/11018/images"},{"rel":"thumbnails","href":"/dashboards/11018/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11459,"status":1,"statusCode":"active","orgId":59972,"orgSlug":"fadjar340","orgName":"Fadjar Tandabawana","slug":"vessel-tracking","downloads":624,"revisionId":16132,"revision":1,"name":"Vessel Tracking","description":"Vessel tracking from Postgresql GPS records","readme":"**Vessel tracking using GPS records in Postgresql table**\n\nAlso the average speed and milleage and Last location from the table","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"PostgreSQL","privacy":"public","createdAt":"2019-12-22T09:30:18.000Z","updatedAt":"2019-12-22T09:32:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11459"},{"rel":"revisions","href":"/dashboards/11459/revisions"},{"rel":"revision","href":"/dashboards/11459/revisions/1"},{"rel":"download","href":"/dashboards/11459/revisions/1/download"},{"rel":"org","href":"/orgs/fadjar340"},{"rel":"images","href":"/dashboards/11459/images"},{"rel":"thumbnails","href":"/dashboards/11459/thumbnails"}],"datasourceSlugs":["postgres"]},{"id":11831,"status":1,"statusCode":"active","orgId":187968,"orgSlug":"iguane","orgName":"Iguane Solutions","slug":"victoria-metrics-cluster-ig1-version","downloads":30758,"revisionId":16849,"revision":6,"name":"Victoria Metrics cluster - IG1 version","description":"An alternate version of the Victoria Metrics cluster dashboard for VM cluster v1.34.0 or higher","readme":"This dashboard is complementary to the [official](https://grafana.com/grafana/dashboards/11176) dashboard. It is more oriented for day to day usage and focus on high level metrology. The dashboard uses [MetricsQL](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/MetricsQL) so using a Victoria Metrics datasource is mandatory.\n\nFound a bug ? [Let's us known !](https://github.com/iguanesolutions/vmcluster-ig1dashboard/issues)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-02-28T12:03:50.000Z","updatedAt":"2020-03-09T14:08:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11831"},{"rel":"revisions","href":"/dashboards/11831/revisions"},{"rel":"revision","href":"/dashboards/11831/revisions/6"},{"rel":"download","href":"/dashboards/11831/revisions/6/download"},{"rel":"org","href":"/orgs/iguane"},{"rel":"images","href":"/dashboards/11831/images"},{"rel":"thumbnails","href":"/dashboards/11831/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23274,"status":1,"statusCode":"active","orgId":247913,"orgSlug":"victoriametrics","orgName":"VictoriaMetrics","slug":"victorialogs-cluster","downloads":10417,"revisionId":39777,"revision":7,"name":"VictoriaLogs - cluster","description":"Overview for cluster version of VictoriaLogs v1.29.0 or higher","readme":"### VictoriaLogs cluster overview\r\n\r\n### Requirements\r\nVictoriaLogs: each [revision](https://grafana.com/grafana/dashboards/23274/revisions) may have different VictoriaLogs version requirements.\r\n\r\nUse Prometheus datasource with this dashboard.\r\nSee more details about how to configure monitoring [here](https://docs.victoriametrics.com/victorialogs/#monitoring).\r\n\r\n### Description\r\nThe dashboard contains comprehensive monitoring sections organized by functionality areas:\r\n\r\n- **Stats** - High-level metrics including total log entries, ingestion rates, disk usage, and system version information\r\n- **Overview** - Real-time visualization of log ingestion rates, request patterns, error rates, and performance trends\r\n- **Resource usage** - CPU utilization, memory consumption, network activity, garbage collection metrics, and system pressure indicators\r\n- **Troubleshooting** - Debugging panels for error tracking, configuration validation, and operational diagnostics\r\n- **Slow Query Troubleshooting** - Query performance analysis, optimization metrics, and latency diagnostics\r\n\r\nAdditional specialized sections include:\r\n\r\n- **Storage** operations with merge performance and indexing metrics\r\n- **Ingestion** pipeline monitoring with flush operations and data flow rates\r\n- **Querying** performance with request latencies and timeout tracking\r\n- Individual components including **vlstorage**, **vlinsert**, and **vlselect** with component-specific metrics and health indicators.\r\n\r\nIf you have suggestions for improvements or discover any issues, please feel free to create an [issue](https://github.com/VictoriaMetrics/VictoriaLogs/issues) or submit feedback through the dashboard review system.\r\n\r\nMore information about VictoriaLogs can be found in the [official documentation](https://docs.victoriametrics.com/victorialogs/).\r\n\r\nNew releases and container images are available at the [VictoriaLogs releases page](https://github.com/VictoriaMetrics/VictoriaLogs/releases) and [DockerHub](https://hub.docker.com/u/victoriametrics?page=1&search=logs).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-18T07:40:18.000Z","updatedAt":"2026-02-05T18:17:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23274"},{"rel":"revisions","href":"/dashboards/23274/revisions"},{"rel":"revision","href":"/dashboards/23274/revisions/7"},{"rel":"download","href":"/dashboards/23274/revisions/7/download"},{"rel":"org","href":"/orgs/victoriametrics"},{"rel":"images","href":"/dashboards/23274/images"},{"rel":"thumbnails","href":"/dashboards/23274/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24585,"status":1,"statusCode":"active","orgId":247913,"orgSlug":"victoriametrics","orgName":"VictoriaMetrics","slug":"victorialogs-internal-state","downloads":1362,"revisionId":39373,"revision":1,"name":"VictoriaLogs - Internal State","description":"Quick health overview of VictoriaLogs (+v1.41.0) ingestion and dataset shape: total logs, newest log age, ingestion rate, and the top fields/streams driving volume and storage.","readme":"This dashboard helps validate that logs are flowing and quickly answers “what’s dominating my logs right now?” for the selected time range.\r\n\r\nIt includes:\r\n- **General**: total matching logs, newest log age (pipeline delay/backpressure signal), and ingestion rate over time.\r\n- **Fields**: storage-heavy fields (bytes/row), total distinct field names, most common and rare field names (schema discovery + typo/dynamic-key detection), top `_msg` patterns, and top key=value facets (excluding stream metadata).\r\n- **Streams**: total distinct streams and their cardinality trend, least/most active streams, and streams ranked by storage size (hits/bytes).\r\n- **Raw logs**: recent log sample for drill-down and quick spot checks.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"VictoriaLogs","privacy":"public","createdAt":"2025-12-19T10:14:16.000Z","updatedAt":"2025-12-20T09:13:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24585"},{"rel":"revisions","href":"/dashboards/24585/revisions"},{"rel":"revision","href":"/dashboards/24585/revisions/1"},{"rel":"download","href":"/dashboards/24585/revisions/1/download"},{"rel":"org","href":"/orgs/victoriametrics"},{"rel":"images","href":"/dashboards/24585/images"},{"rel":"thumbnails","href":"/dashboards/24585/thumbnails"}],"datasourceSlugs":["victoriametrics-logs-datasource"]},{"id":22084,"status":1,"statusCode":"active","orgId":247913,"orgSlug":"victoriametrics","orgName":"VictoriaMetrics","slug":"victorialogs-single-node","downloads":28488,"revisionId":39776,"revision":11,"name":"VictoriaLogs - single-node","description":"Overview for single-node VictoriaLogs v1.29.0 or higher","readme":"### VictoriaLogs single-server overview\r\n\r\n### Requirements\r\nVictoriaLogs: each [revision](https://grafana.com/grafana/dashboards/22084/revisions) may have different VictoriaLogs version requirements.\r\n\r\nGrafana: each [revision](https://grafana.com/grafana/dashboards/10229/revisions) may have different Grafana version requirements.\r\n\r\nUse Prometheus datasource with this dashboard.\r\n\r\nTo scrape metrics configure VictoriaMetrics, vmagent or Prometheus job to scrape `victorialogs-addr/metrics` address. More details about monitoring may be found [here](https://docs.victoriametrics.com/victorialogs/#monitoring).\r\n\r\n### Description\r\nThe dashboard contain comprehensive monitoring sections organized by functionality areas:\r\n\r\n- **Stats** - High-level metrics including total log entries, ingestion rates, disk usage, and system version information\r\n- **Overview** - Real-time visualization of log ingestion rates, request patterns, error rates, and performance trends\r\n- **Resource usage** - CPU utilization, memory consumption, network activity, garbage collection metrics, and system pressure indicators\r\n- **Troubleshooting** - Debugging panels for error tracking, configuration validation, and operational diagnostics\r\n- **Slow Query Troubleshooting** - Query performance analysis, optimization metrics, and latency diagnostics\r\n\r\nAdditional specialized sections include:\r\n\r\n- **Storage** operations with merge performance and indexing metrics\r\n- **Ingestion** pipeline monitoring with flush operations and data flow rates\r\n- **Querying** performance with request latencies and timeout tracking\r\n\r\nIf you have suggestions for improvements or discover any issues, please feel free to create an [issue](https://github.com/VictoriaMetrics/VictoriaLogs/issues) or submit feedback through the dashboard review system.\r\n\r\nMore information about VictoriaLogs can be found in the [official documentation](https://docs.victoriametrics.com/victorialogs/).\r\n\r\nNew releases and container images are available at the [VictoriaLogs releases page](https://github.com/VictoriaMetrics/VictoriaLogs/releases) and [DockerHub](https://hub.docker.com/u/victoriametrics?page=1&search=logs).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-10-16T07:33:33.000Z","updatedAt":"2026-02-05T18:16:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22084"},{"rel":"revisions","href":"/dashboards/22084/revisions"},{"rel":"revision","href":"/dashboards/22084/revisions/11"},{"rel":"download","href":"/dashboards/22084/revisions/11/download"},{"rel":"org","href":"/orgs/victoriametrics"},{"rel":"images","href":"/dashboards/22084/images"},{"rel":"thumbnails","href":"/dashboards/22084/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24513,"status":1,"statusCode":"active","orgId":247913,"orgSlug":"victoriametrics","orgName":"VictoriaMetrics","slug":"victorialogs-vlagent","downloads":1413,"revisionId":39359,"revision":2,"name":"VictoriaLogs - vlagent","description":"Overview for VictoriaMetrics vlagent v1.29.0 or higher","readme":"VictoriaLogs - vlagent\r\n\r\n# Requirements\r\n\r\nvlagent: each revision may have different vlagent version requirements.\r\n\r\nUse Prometheus datasource with this dashboard. See more details about how to configure monitoring [here](https://docs.victoriametrics.com/victorialogs/vlagent/#monitoring).\r\n\r\n# Description\r\n\r\nThis dashboard provides comprehensive monitoring, organized by functional areas:\r\n\r\n* Stats - High-level metrics including total log entries, ingestion rates, disk usage, and system version information.\r\n* Overview - Real-time visualization of core agent metrics: log ingestion rates, request processing, error rates, and overall performance trends.\r\n* Resource usage - Resource consumption metrics: CPU usage, memory utilization, network activity, garbage collection, and system load indicators.\r\n* Troubleshooting - Panels for debugging and diagnostics: error tracking, configuration validation, and operational alerts.\r\n* Ingestion - Monitoring of the log ingestion process, including flush operations and data flow rates.\r\n* Remote write - Metrics for remote data forwarding, including request rate, open connections, and retry counts.\r\n\r\nIf you have suggestions for improvements or discover any issues, please create an [issue](https://github.com/VictoriaMetrics/VictoriaLogs/issues) or submit feedback through the dashboard review system.\r\n\r\nMore information about vlagent can be found in the [official documentation](https://docs.victoriametrics.com/victorialogs/vlagent/).\r\n\r\nNew releases and container images are available on the [VictoriaLogs releases page](https://github.com/VictoriaMetrics/VictoriaLogs/releases) and [DockerHub](https://hub.docker.com/r/victoriametrics/vlagent).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus, VictoriaMetrics","privacy":"public","createdAt":"2025-12-05T12:03:47.000Z","updatedAt":"2025-12-18T08:43:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24513"},{"rel":"revisions","href":"/dashboards/24513/revisions"},{"rel":"revision","href":"/dashboards/24513/revisions/2"},{"rel":"download","href":"/dashboards/24513/revisions/2/download"},{"rel":"org","href":"/orgs/victoriametrics"},{"rel":"images","href":"/dashboards/24513/images"},{"rel":"thumbnails","href":"/dashboards/24513/thumbnails"}],"datasourceSlugs":["prometheus","victoriametrics-metrics-datasource"]},{"id":22759,"status":1,"statusCode":"active","orgId":90180,"orgSlug":"andrii29","orgName":"andrii29","slug":"victorialogs-explorer","downloads":10393,"revisionId":39549,"revision":9,"name":"VictoriaLogs Explorer","description":"Dashboard to explore Victoria Logs","readme":"Victoria Logs Grafana Dashboard\r\n\r\nHelm  [Chart](https://github.com/VictoriaMetrics/helm-charts/tree/master/charts/victoria-logs-single)\r\n\r\nGrafana Plugin [victorialogs-datasource](https://github.com/VictoriaMetrics/victorialogs-datasource#installation)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"VictoriaLogs","privacy":"public","createdAt":"2025-01-27T08:30:23.000Z","updatedAt":"2026-05-11T04:20:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22759"},{"rel":"revisions","href":"/dashboards/22759/revisions"},{"rel":"revision","href":"/dashboards/22759/revisions/9"},{"rel":"download","href":"/dashboards/22759/revisions/9/download"},{"rel":"org","href":"/orgs/andrii29"},{"rel":"images","href":"/dashboards/22759/images"},{"rel":"thumbnails","href":"/dashboards/22759/thumbnails"}],"datasourceSlugs":["victoriametrics-logs-datasource"]},{"id":24553,"status":1,"statusCode":"active","orgId":247913,"orgSlug":"victoriametrics","orgName":"VictoriaMetrics","slug":"victoriametrics-alert-statistics","downloads":393,"revisionId":40373,"revision":4,"name":"VictoriaMetrics - Alert statistics","description":"Overview of alerts state in time based on metrics generated by VictoriaMetrics vmalert.","readme":"### Alerts statistics overview\r\n\r\n### Requirements\r\n\r\nPanels are based on metrics exposed by [vmalert](https://docs.victoriametrics.com/vmalert.html), VictoriaMetrics component for evaluation alerting and recording rules.\r\n\r\nUse Prometheus datasource with this dashboard.\r\nSee more details about how to configure monitoring [here](https://docs.victoriametrics.com/vmalert.html#monitoring).\r\n\r\n### Description\r\n\r\nThe dashboard contains aggregated information about alerting rules and groups. It displays the historical state of the alerts to highlight how frequently they fired in the past.\r\n\r\n---\r\n\r\nIf you have suggestions for improvements or discover any issues, please feel free to create an [issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues) or submit feedback through the dashboard review system.\r\n\r\nMore information about VictoriaMetrics can be found in the [official documentation](https://docs.victoriametrics.com).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-12-12T16:58:03.000Z","updatedAt":"2026-04-03T18:33:57.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24553"},{"rel":"revisions","href":"/dashboards/24553/revisions"},{"rel":"revision","href":"/dashboards/24553/revisions/4"},{"rel":"download","href":"/dashboards/24553/revisions/4/download"},{"rel":"org","href":"/orgs/victoriametrics"},{"rel":"images","href":"/dashboards/24553/images"},{"rel":"thumbnails","href":"/dashboards/24553/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17798,"status":1,"statusCode":"active","orgId":247913,"orgSlug":"victoriametrics","orgName":"VictoriaMetrics","slug":"victoriametrics-backupmanager","downloads":210224,"revisionId":39899,"revision":6,"name":"VictoriaMetrics - backupmanager","description":"Overview for VictoriaMetrics backupmanager v1.85.3 or higher","readme":"## VictoriaMetrics backupmanager overview\r\n\r\n### Requirements\r\nvmbackupmanager: each [revision](https://grafana.com/grafana/dashboards/17798/revisions) may have different vmbackupmanager version requirements.\r\n\r\nGrafana: each [revision](https://grafana.com/grafana/dashboards/17798/revisions) may have different Grafana version requirements.\r\n\r\nUse Prometheus datasource with Prometheus or VictoriaMetrics URL. See more details about how to configure monitoring [here](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/cluster#monitoring).\r\n\r\n### Description\r\nThe dashboard contains visualization of the most useful metrics for [vmbackupmanager](https://docs.victoriametrics.com/vmbackupmanager.html), displaying status of last backup and retention runs, number of stored backups, and storage space used for backups storage. It covers such aspects as backups duration, size of stored backups, upload rate, retention statistics. If you have suggestions, improvements or found a bug - feel free to add an issue or add review to the dashboard.\r\n\r\nMore information about [VictoriaMetrics](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki).\r\n\r\nNew [releases](https://github.com/VictoriaMetrics/VictoriaMetrics/releases) and [images](https://hub.docker.com/u/victoriametrics).\r\n\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-01-04T16:26:00.000Z","updatedAt":"2026-02-12T14:42:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17798"},{"rel":"revisions","href":"/dashboards/17798/revisions"},{"rel":"revision","href":"/dashboards/17798/revisions/6"},{"rel":"download","href":"/dashboards/17798/revisions/6/download"},{"rel":"org","href":"/orgs/victoriametrics"},{"rel":"images","href":"/dashboards/17798/images"},{"rel":"thumbnails","href":"/dashboards/17798/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11176,"status":1,"statusCode":"active","orgId":247913,"orgSlug":"victoriametrics","orgName":"VictoriaMetrics","slug":"victoriametrics-cluster","downloads":6031410,"revisionId":40787,"revision":55,"name":"VictoriaMetrics - cluster","description":"Overview for cluster VictoriaMetrics v1.117.0 or higher","readme":"### VictoriaMetrics cluster overview\r\n\r\n### Requirements\r\nVictoriaMetrics: each [revision](https://grafana.com/grafana/dashboards/11176/revisions) may have different VictoriaMetrics version requirements.\r\n\r\nGrafana: each [revision](https://grafana.com/grafana/dashboards/11176/revisions) may have different Grafana version requirements.\r\n\r\nUse Prometheus datasource with this dashboard.\r\nSee more details about how to configure monitoring [here](https://docs.victoriametrics.com#monitoring).\r\n\r\n### Description\r\nThe dashboard contains a visualization of the most useful metrics displaying the current state and performance of the service. It covers such aspects as RPC interconnections, caches, vmstorage, vmselect and vminsert.\r\nIf you have suggestions or improvements or found a bug - feel free to add [issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues) or add a review to the dashboard.\r\n\r\nMore information about [VictoriaMetrics](https://docs.victoriametrics.com/).\r\n\r\nNew [releases](https://github.com/VictoriaMetrics/VictoriaMetrics/releases) and [images](https://hub.docker.com/u/victoriametrics).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2019-11-12T08:12:47.000Z","updatedAt":"2026-05-18T11:42:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11176"},{"rel":"revisions","href":"/dashboards/11176/revisions"},{"rel":"revision","href":"/dashboards/11176/revisions/55"},{"rel":"download","href":"/dashboards/11176/revisions/55/download"},{"rel":"org","href":"/orgs/victoriametrics"},{"rel":"images","href":"/dashboards/11176/images"},{"rel":"thumbnails","href":"/dashboards/11176/thumbnails"}]},{"id":11040,"status":1,"statusCode":"active","orgId":304515,"orgSlug":"freeseacher","orgName":"freeseacher","slug":"victoriametrics-insert","downloads":1270,"revisionId":15433,"revision":2,"name":"VictoriaMetrics - Insert","description":"VictoriaMetrics - Insert daemon","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-10-24T14:41:30.000Z","updatedAt":"2019-10-24T21:48:08.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11040"},{"rel":"revisions","href":"/dashboards/11040/revisions"},{"rel":"revision","href":"/dashboards/11040/revisions/2"},{"rel":"download","href":"/dashboards/11040/revisions/2/download"},{"rel":"org","href":"/orgs/freeseacher"},{"rel":"images","href":"/dashboards/11040/images"},{"rel":"thumbnails","href":"/dashboards/11040/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":25014,"status":1,"statusCode":"active","orgId":247913,"orgSlug":"victoriametrics","orgName":"VictoriaMetrics","slug":"victoriametrics-metrics-explorer","downloads":206,"revisionId":40236,"revision":2,"name":"VictoriaMetrics - metrics explorer","description":"Dashboard for exploring metrics and their usage in VictoriaMetrics","readme":"## VictoriaMetrics - metrics explorer\r\n\r\n### Requirements\r\n\r\nVictoriaMetrics: [v1.113.0](https://docs.victoriametrics.com/victoriametrics/changelog/changelog_2025/#v11130) or higher.\r\n\r\n[Infinity datasource](https://grafana.com/grafana/plugins/yesoreyeram-infinity-datasource/) to be installed and configured to have access to VM.\r\n\r\n### Description\r\n\r\n\r\nOn querying, VictoriaMetrics [tracks](https://docs.victoriametrics.com/victoriametrics/#track-ingested-metrics-usage) how many times the requested metric\r\n name was fetched from the database and when was the last \r\n time it happened. Together with displaying cardinality breakdown per-metric or per-label, it helps to identify metric names that \r\n were **rarely** or **never** queried. \r\n\r\nIf you have suggestions for improvements or discover any issues, please feel free to create an [issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues) or submit feedback through the dashboard review system.\r\n\r\nMore information about VictoriaMetrics can be found in the [official documentation](https://docs.victoriametrics.com/).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Infinity","privacy":"public","createdAt":"2026-03-16T10:26:04.000Z","updatedAt":"2026-03-18T14:22:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25014"},{"rel":"revisions","href":"/dashboards/25014/revisions"},{"rel":"revision","href":"/dashboards/25014/revisions/2"},{"rel":"download","href":"/dashboards/25014/revisions/2/download"},{"rel":"org","href":"/orgs/victoriametrics"},{"rel":"images","href":"/dashboards/25014/images"},{"rel":"thumbnails","href":"/dashboards/25014/thumbnails"}],"datasourceSlugs":["yesoreyeram-infinity-datasource"]},{"id":17869,"status":1,"statusCode":"active","orgId":247913,"orgSlug":"victoriametrics","orgName":"VictoriaMetrics","slug":"victoriametrics-operator","downloads":418806,"revisionId":40003,"revision":8,"name":"VictoriaMetrics - operator","description":"Overview for operator VictoriaMetrics v0.25.0 or higher","readme":"# VictoriaMetrics operator overview\r\n\r\n## Requirements\r\n\r\nVictoriaMetrics operator: each revision may have different VictoriaMetrics operator version requirements.\r\n\r\nGrafana: each revision may have different Grafana version requirements.\r\n\r\nConfigure metrics scraping with Prometheus text exposition format by the compatible collector, such as vmagent, single VictoriaMetrics, Prometheus or any other collector. You can also use [VMServiceScrape](https://github.com/VictoriaMetrics/helm-charts/blob/master/charts/victoria-metrics-k8s-stack/templates/victoria-metrics-operator/servicescrape.yaml)\r\n\r\nUse Prometheus datasource with Prometheus or VictoriaMetrics URL. See more details about how to configure monitoring here.\r\n\r\n## Description\r\n\r\nDashboard contains visualization of the most useful metrics displaying the current state and performance of the service. It covers such aspects as working queue depth, \r\nnumber of managed CRDs, resource utilization and others.  If you have suggestions, improvements or found a bug - feel free to add an issue or add a review to the dashboard.\r\n\r\nMore information about [operator](https://docs.victoriametrics.com/operator/) and  [VictoriaMetrics](https://docs.victoriametrics.com/).\r\n\r\nNew [releases](https://github.com/VictoriaMetrics/operator/releases).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2023-01-12T10:34:36.000Z","updatedAt":"2026-02-23T11:33:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17869"},{"rel":"revisions","href":"/dashboards/17869/revisions"},{"rel":"revision","href":"/dashboards/17869/revisions/8"},{"rel":"download","href":"/dashboards/17869/revisions/8/download"},{"rel":"org","href":"/orgs/victoriametrics"},{"rel":"images","href":"/dashboards/17869/images"},{"rel":"thumbnails","href":"/dashboards/17869/thumbnails"}]},{"id":11039,"status":1,"statusCode":"active","orgId":304515,"orgSlug":"freeseacher","orgName":"freeseacher","slug":"victoriametrics-select","downloads":1307,"revisionId":15434,"revision":2,"name":"VictoriaMetrics - Select","description":"","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-10-24T14:40:52.000Z","updatedAt":"2019-10-24T22:10:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11039"},{"rel":"revisions","href":"/dashboards/11039/revisions"},{"rel":"revision","href":"/dashboards/11039/revisions/2"},{"rel":"download","href":"/dashboards/11039/revisions/2/download"},{"rel":"org","href":"/orgs/freeseacher"},{"rel":"images","href":"/dashboards/11039/images"},{"rel":"thumbnails","href":"/dashboards/11039/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10229,"status":1,"statusCode":"active","orgId":247913,"orgSlug":"victoriametrics","orgName":"VictoriaMetrics","slug":"victoriametrics-single-node","downloads":335658,"revisionId":40786,"revision":52,"name":"VictoriaMetrics - single-node","description":"Overview for single-node VictoriaMetrics v1.117.0 or higher","readme":"### VictoriaMetrics single-server overview\r\n\r\n### Requirements\r\nVictoriaMetrics: each [revision](https://grafana.com/grafana/dashboards/10229/revisions) may have different VictoriaMetrics version requirements.\r\n\r\nGrafana: each [revision](https://grafana.com/grafana/dashboards/10229/revisions) may have different Grafana version requirements.\r\n\r\nUse Prometheus datasource with this dashboard.\r\n\r\nTo scrape metrics configure VictoriaMetrics with `-selfScrapeInterval` flag or Prometheus job to scrape `victoriametrics-addr/metrics` address. More details about monitoring may be found [here](https://docs.victoriametrics.com/#monitoring).\r\n\r\n### Description\r\nThe dashboard contains a visualization of the most useful metrics displaying the current state and performance of the service.\r\nIf you have suggestions or improvements or found a bug - feel free to add [issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues) or add a review to the dashboard.\r\n\r\nMore information about [VictoriaMetrics](https://docs.victoriametrics.com).\r\n\r\nNew [releases](https://github.com/VictoriaMetrics/VictoriaMetrics/releases) and [images](https://hub.docker.com/r/victoriametrics/victoria-metrics/tags).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2019-05-20T07:12:11.000Z","updatedAt":"2026-05-18T11:42:01.000Z","isEditor":false,"hasLogo":true,"reviewsCount":4,"reviewsAvgRating":4.75,"links":[{"rel":"self","href":"/dashboards/10229"},{"rel":"revisions","href":"/dashboards/10229/revisions"},{"rel":"revision","href":"/dashboards/10229/revisions/52"},{"rel":"download","href":"/dashboards/10229/revisions/52/download"},{"rel":"org","href":"/orgs/victoriametrics"},{"rel":"images","href":"/dashboards/10229/images"},{"rel":"thumbnails","href":"/dashboards/10229/thumbnails"}]},{"id":11038,"status":1,"statusCode":"active","orgId":304515,"orgSlug":"freeseacher","orgName":"freeseacher","slug":"victoriametrics-storage","downloads":1413,"revisionId":15435,"revision":2,"name":"VictoriaMetrics - Storage","description":"","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-10-24T14:38:38.000Z","updatedAt":"2019-10-24T22:12:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11038"},{"rel":"revisions","href":"/dashboards/11038/revisions"},{"rel":"revision","href":"/dashboards/11038/revisions/2"},{"rel":"download","href":"/dashboards/11038/revisions/2/download"},{"rel":"org","href":"/orgs/freeseacher"},{"rel":"images","href":"/dashboards/11038/images"},{"rel":"thumbnails","href":"/dashboards/11038/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12683,"status":1,"statusCode":"active","orgId":247913,"orgSlug":"victoriametrics","orgName":"VictoriaMetrics","slug":"victoriametrics-vmagent","downloads":1820005,"revisionId":40785,"revision":36,"name":"VictoriaMetrics - vmagent","description":"Overview for VictoriaMetrics vmagent v1.117.0 or higher","readme":"### VictoriaMetrics vmagent overview\r\n\r\n### Requirements\r\n\r\nvmagent: each [revision](https://grafana.com/grafana/dashboards/12683/revisions) may have different vmagent version requirements.\r\n\r\nGrafana: each [revision](https://grafana.com/grafana/dashboards/12683/revisions) may have different Grafana version requirements.\r\n\r\nConfigure `vmagent` to scrape its own metrics in `--promscrape.config` file. Alternatively, scrape `vmagent` metrics via Prometheus, single VictoriaMetrics or separate `vmagent` service. `vmagent` exports various metrics in Prometheus exposition format at http://vmagent-host:8429/metrics page. See also additional info about [monitoring](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/app/vmagent#monitoring) for vmagent.\r\n\r\nIn Grafana configure Prometheus datasource with VictoriaMetrics URL. Dashboard uses [metricsql](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/MetricsQL) expressions so it is highly recommended to use only VictoriaMetrics storage as source.\r\n\r\n### Description\r\nDashboard contains visualization of most useful metrics displaying current state and performance of the service. Most of the panels on dashboard contain additional information or explanation for graphs. If you have suggestions, improvements or found a bug - feel free to add [issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues) or add review to the dashboard.\r\n\r\nMore information about [VictoriaMetrics](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki) and [vmagent](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/app/vmagent).\r\n\r\nNew [releases](https://github.com/VictoriaMetrics/VictoriaMetrics/releases) and [images](https://hub.docker.com/r/victoriametrics/victoria-metrics/tags).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2020-07-19T08:23:34.000Z","updatedAt":"2026-05-18T11:41:24.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12683"},{"rel":"revisions","href":"/dashboards/12683/revisions"},{"rel":"revision","href":"/dashboards/12683/revisions/36"},{"rel":"download","href":"/dashboards/12683/revisions/36/download"},{"rel":"org","href":"/orgs/victoriametrics"},{"rel":"images","href":"/dashboards/12683/images"},{"rel":"thumbnails","href":"/dashboards/12683/thumbnails"}]},{"id":14950,"status":1,"statusCode":"active","orgId":247913,"orgSlug":"victoriametrics","orgName":"VictoriaMetrics","slug":"victoriametrics-vmalert","downloads":335283,"revisionId":40784,"revision":19,"name":"VictoriaMetrics - vmalert","description":"Overview for VictoriaMetrics vmalert v1.117.0 or higher","readme":"### VictoriaMetrics vmalert overview\n\n### Requirements\n\nvmalert: each [revision](https://grafana.com/grafana/dashboards/14950/revisions) may have different vmalert version requirements.\n\nGrafana: each [revision](https://grafana.com/grafana/dashboards/14950/revisions) may have different Grafana version requirements.\n\n\n `vmalert` exports various metrics in Prometheus exposition format at `http://vmalert-host:8880/metrics` page. Configure `vmagent` or `VictoriaMetrics single` to scrape `vmalert`'s metrics. See also additional info about [monitoring](https://docs.victoriametrics.com/vmalert.html#monitoring) for vmalert.\n\nIn Grafana configure `Prometheus` datasource with `VictoriaMetrics` URL. Use this datasource when importing the dashboard.\n\n### Description\nDashboard contains visualization of most useful metrics displaying current state of the service. Most of the panels on dashboard contain additional information or explanation for graphs. If you have suggestions, improvements or found a bug - feel free to add [issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues) or add review to the dashboard.\n\nMore information about [VictoriaMetrics](https://docs.victoriametrics.com/) and [vmalert](https://docs.victoriametrics.com/vmalert.html).\n\nNew [releases](https://github.com/VictoriaMetrics/VictoriaMetrics/releases) and [images](https://hub.docker.com/r/victoriametrics/victoria-metrics/tags).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-08-31T08:30:14.000Z","updatedAt":"2026-05-18T11:40:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14950"},{"rel":"revisions","href":"/dashboards/14950/revisions"},{"rel":"revision","href":"/dashboards/14950/revisions/19"},{"rel":"download","href":"/dashboards/14950/revisions/19/download"},{"rel":"org","href":"/orgs/victoriametrics"},{"rel":"images","href":"/dashboards/14950/images"},{"rel":"thumbnails","href":"/dashboards/14950/thumbnails"}]},{"id":22922,"status":1,"statusCode":"active","orgId":247913,"orgSlug":"victoriametrics","orgName":"VictoriaMetrics","slug":"victoriametrics-vmanomaly-anomaly-statistics","downloads":1010,"revisionId":37345,"revision":2,"name":"VictoriaMetrics - vmanomaly - anomaly statistics","description":"Anomaly statistic dashboard for VictoriaMetrics Anomaly Detection (vmanomaly) v1.19.2 or higher","readme":"## VictoriaMetrics Anomaly Detection (vmanomaly) score overview\r\n\r\n### Requirements\r\n`vmanomaly`: Each [revision](https://grafana.com/grafana/dashboards/22922/revisions) may require a different version of `vmanomaly`. Current recommended version - [1.19.2](https://hub.docker.com/r/victoriametrics/vmanomaly/tags) or higher\r\n\r\n`Grafana`: Each [revision](https://grafana.com/grafana/dashboards/22922/revisions) may require a different version of `Grafana`.\r\n\r\n[For additional benefits](https://docs.victoriametrics.com/victoriametrics-datasource/#motivation) over `Prometheus` datasource, this dashboard is based on `VictoriaMetrics` [datasource](https://docs.victoriametrics.com/victoriametrics-datasource/). Please follow [these instructions](https://docs.victoriametrics.com/victoriametrics-datasource/#installation) to enable datasource in Grafana.\r\n\r\nPlease find the detailed description and example instructions of how to use this dashboard [in our guide](https://docs.victoriametrics.com/anomaly-detection/presets/#grafana-dashboard) for [default preset](https://docs.victoriametrics.com/anomaly-detection/presets/#default) of `vmanomaly`.\r\n\r\n### Description\r\nThis dashboard provides a comprehensive view of anomaly scores over time, based on `vmanomaly` [output](https://docs.victoriametrics.com/anomaly-detection/components/models#vmanomaly-output), specifically [anomaly_score](https://docs.victoriametrics.com/anomaly-detection/faq/#what-is-anomaly-score) metrics.  \r\n\r\nIt offers both a **global view** (aggregated statistics across selected grouping labels) and a **detailed drill-down** into individual anomaly scores and raw metric values. Users can apply filters, explore patterns, and refine anomaly detection configurations interactively.  \r\n\r\nFor best practices on navigation and `vmanomaly` configuration tuning, refer to the [guide section](https://docs.victoriametrics.com/anomaly-detection/presets/#filters) and follow the provided dashboard hints.  \r\n\r\n---\r\n\r\nIf you have suggestions, improvements, or bug reports, feel free to open an [issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues) or leave a review on the dashboard.\r\n\r\nMore information about [`vmanomaly`](https://docs.victoriametrics.com/anomaly-detection/).\r\n\r\nCheck out the latest [release notes](https://docs.victoriametrics.com/anomaly-detection/changelog) and Docker [images](https://hub.docker.com/r/victoriametrics/vmanomaly/tags). Helm charts are available  [here](https://github.com/VictoriaMetrics/helm-charts/tree/master/charts/victoria-metrics-anomaly).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2025-02-22T17:25:42.000Z","updatedAt":"2025-05-28T15:02:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22922"},{"rel":"revisions","href":"/dashboards/22922/revisions"},{"rel":"revision","href":"/dashboards/22922/revisions/2"},{"rel":"download","href":"/dashboards/22922/revisions/2/download"},{"rel":"org","href":"/orgs/victoriametrics"},{"rel":"images","href":"/dashboards/22922/images"},{"rel":"thumbnails","href":"/dashboards/22922/thumbnails"}]},{"id":22337,"status":1,"statusCode":"active","orgId":247913,"orgSlug":"victoriametrics","orgName":"VictoriaMetrics","slug":"victoriametrics-vmanomaly-self-monitoring","downloads":868,"revisionId":37511,"revision":9,"name":"VictoriaMetrics - vmanomaly - self-monitoring","description":"Self-monitoring for VictoriaMetrics Anomaly Detection (vmanomaly) v1.18.4 or higher","readme":"## VictoriaMetrics Anomaly Detection (vmanomaly) overview\r\n\r\n### Requirements\r\n`vmanomaly`: Each [revision](https://grafana.com/grafana/dashboards/22337/revisions) may require a different version of `vmanomaly`. Current recommended version - [1.18.4](https://hub.docker.com/r/victoriametrics/vmanomaly/tags) or higher\r\n\r\n`Grafana`: Each [revision](https://grafana.com/grafana/dashboards/22337/revisions) may require a different version of `Grafana`.\r\n\r\nThis dashboard requires the Prometheus datasource.\r\n\r\nTo scrape metrics, configure VictoriaMetrics, vmagent, or Prometheus to scrape the `vmanomaly-addr/metrics` endpoint. Use `vmanomaly` as the default job name. Please note that you need to enable optional `monitoring.pull` [config component](https://docs.victoriametrics.com/anomaly-detection/components/) to achieve that:\r\n```yaml\r\nmonitoring:\r\n  pull: # enable /metrics endpoint.\r\n  addr: \"0.0.0.0\"\r\n  port: 8080\r\n```\r\n\r\nAlternatively, metrics can be pushed directly from `vmanomaly` - refer to [these docs](https://docs.victoriametrics.com/anomaly-detection/components/monitoring/) for more information.\r\n> **Note**: You can override the `job` label for the *push* model using the `extra_labels` argument in the `monitoring.push` [config component](https://docs.victoriametrics.com/anomaly-detection/components/), as shown below:\r\n```yaml\r\nmonitoring:\r\n  push:\r\n    url: \"http://localhost:8480/\"\r\n    tenant_id: \"0:0\" # for cluster version only\r\n    # other parameters ...\r\n    extra_labels:\r\n      job: \"vmanomaly-custom-job-name\"\r\n      # other extra labels, if needed\r\n```\r\n\r\nMore details on monitoring `vmanomaly` (including dashboards and alerting rules) can be found [here](https://docs.victoriametrics.com/anomaly-detection/self-monitoring/).\r\n\r\n### Description\r\nThis dashboard visualizes key metrics that reflect the current state and performance of the `vmanomaly` service.\r\n\r\nIf you have suggestions, improvements, or bug reports, feel free to open an [issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues) or leave a review on the dashboard.\r\n\r\nMore information about [`vmanomaly`](https://docs.victoriametrics.com/anomaly-detection/).\r\n\r\nCheck out the latest [release notes](https://docs.victoriametrics.com/anomaly-detection/changelog) and Docker [images](https://hub.docker.com/r/victoriametrics/vmanomaly/tags). Helm charts are available  [here](https://github.com/VictoriaMetrics/helm-charts/tree/master/charts/victoria-metrics-anomaly).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-11-17T18:19:37.000Z","updatedAt":"2025-06-16T20:22:27.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22337"},{"rel":"revisions","href":"/dashboards/22337/revisions"},{"rel":"revision","href":"/dashboards/22337/revisions/9"},{"rel":"download","href":"/dashboards/22337/revisions/9/download"},{"rel":"org","href":"/orgs/victoriametrics"},{"rel":"images","href":"/dashboards/22337/images"},{"rel":"thumbnails","href":"/dashboards/22337/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21394,"status":1,"statusCode":"active","orgId":247913,"orgSlug":"victoriametrics","orgName":"VictoriaMetrics","slug":"victoriametrics-vmauth","downloads":116636,"revisionId":40607,"revision":9,"name":"VictoriaMetrics - vmauth","description":"Overview for VictoriaMetrics vmauth v1.80.0 or higher","readme":"### VictoriaMetrics vmauth\r\n\r\n### Requirements\r\nvmauth: each [revision](https://grafana.com/grafana/dashboards/21394/revisions) may have different [vmauth](https://docs.victoriametrics.com/vmauth) version requirements. See the revision description for details.\r\n\r\nGrafana: each [revision](https://grafana.com/grafana/dashboards/21394/revisions) may have different Grafana version requirements.\r\n\r\nUse Prometheus datasource with Prometheus or VictoriaMetrics URL. See more details about how to configure monitoring [here](https://docs.victoriametrics.com/vmauth/#monitoring).\r\n\r\n### Description\r\nDashboard contains visualization of most useful metrics displaying current state and performance of the service.\r\nIf you have suggestions, improvements or found a bug - feel free to add [issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues) or add review to the dashboard.\r\n\r\nMore information about [VictoriaMetrics](https://github.com/VictoriaMetrics/VictoriaMetrics).\r\n\r\nNew [releases](https://github.com/VictoriaMetrics/VictoriaMetrics/releases) and [images](https://hub.docker.com/u/victoriametrics).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-25T09:03:03.000Z","updatedAt":"2026-04-27T17:42:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21394"},{"rel":"revisions","href":"/dashboards/21394/revisions"},{"rel":"revision","href":"/dashboards/21394/revisions/9"},{"rel":"download","href":"/dashboards/21394/revisions/9/download"},{"rel":"org","href":"/orgs/victoriametrics"},{"rel":"images","href":"/dashboards/21394/images"},{"rel":"thumbnails","href":"/dashboards/21394/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16399,"status":1,"statusCode":"active","orgId":247913,"orgSlug":"victoriametrics","orgName":"VictoriaMetrics","slug":"victoriametrics-cluster-per-tenant-statistic","downloads":199778,"revisionId":39301,"revision":8,"name":"VictoriaMetrics Cluster Per Tenant Statistic","description":"Overview for enterprise cluster VictoriaMetrics v1.56.0 or higher","readme":"### VictoriaMetrics  Cluster Per Tenant Statistic Overview\r\n\r\n### Requirements\r\nThe dashboard requires the [**Enterprise**](https://victoriametrics.com/products/enterprise/) version of the VictoriaMetrics Cluster.\r\n\r\nVictoriaMetrics: each [revision](https://grafana.com/grafana/dashboards/16399/revisions) may have different VictoriaMetrics version requirements.\r\n\r\nGrafana: each [revision](https://grafana.com/grafana/dashboards/16399/revisions) may have different Grafana version requirements.\r\n\r\nUse Prometheus or [VictoriaMetrics](https://github.com/VictoriaMetrics/grafana-datasource) datasource with VictoriaMetrics URL. See more details about configuring monitoring [here](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/cluster#monitoring).\r\n\r\n### Description\r\nThe dashboard contains visualization for key cluster metrics per tenant. This allows for checking cluster resource usage by the tenant and helps with cost analysis for internal teams and/or external customers.\r\n\r\nIf you have suggestions, improvements or found a bug - feel free to add [issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues) or add review to the dashboard.\r\n\r\nMore information about [VictoriaMetrics Statistic Per Tenant](https://docs.victoriametrics.com/PerTenantStatistic.html).\r\n\r\nNew open source and enterprise [releases](https://github.com/VictoriaMetrics/VictoriaMetrics/releases) and [images](https://hub.docker.com/u/victoriametrics).\r\n\r\nThe dashboard source code you can find [here](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/dashboards/clusterbytenant.json)\r\n\r\n[Contact us](https://victoriametrics.com/contact-us/) if you need any help","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2022-06-07T20:20:02.000Z","updatedAt":"2025-12-11T16:15:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16399"},{"rel":"revisions","href":"/dashboards/16399/revisions"},{"rel":"revision","href":"/dashboards/16399/revisions/8"},{"rel":"download","href":"/dashboards/16399/revisions/8/download"},{"rel":"org","href":"/orgs/victoriametrics"},{"rel":"images","href":"/dashboards/16399/images"},{"rel":"thumbnails","href":"/dashboards/16399/thumbnails"}]},{"id":24134,"status":1,"statusCode":"active","orgId":247913,"orgSlug":"victoriametrics","orgName":"VictoriaMetrics","slug":"victoriatraces-cluster","downloads":915,"revisionId":40108,"revision":3,"name":"VictoriaTraces - cluster","description":"Overview for cluster version of VictoriaTraces v0.3.0 or higher","readme":"### VictoriaTraces cluster overview\r\n\r\n### Requirements\r\nVictoriaTraces: each [revision](https://grafana.com/grafana/dashboards/24134/revisions) may have different VictoriaTraces version requirements.\r\n\r\nUse Prometheus datasource with this dashboard.\r\nSee more details about how to configure monitoring [here](https://docs.victoriametrics.com/victoriatraces/#monitoring).\r\n\r\n### Description\r\nThe dashboard contains comprehensive monitoring sections organized by functionality areas:\r\n\r\n- **Stats** - High-level metrics including total trace spans, ingestion rates, disk usage, and system version information\r\n- **Overview** - Real-time visualization of trace span ingestion rates, request patterns, error rates, and performance trends\r\n- **Resource usage** - CPU utilization, memory consumption, network activity, garbage collection metrics, and system pressure indicators\r\n- **Troubleshooting** - Debugging panels for error tracking, configuration validation, and operational diagnostics\r\n- **Slow Query Troubleshooting** - Query performance analysis, optimization metrics, and latency diagnostics\r\n\r\nAdditional specialized sections include:\r\n\r\n- **Storage** operations with merge performance and indexing metrics\r\n- **Ingestion** pipeline monitoring with flush operations and data flow rates\r\n- **Querying** performance with request latencies and timeout tracking\r\n- Individual components including **vtstorage**, **vtinsert**, and **vtselect** with component-specific metrics and health indicators.\r\n\r\nIf you have suggestions for improvements or discover any issues, please feel free to create an [issue](https://github.com/VictoriaMetrics/VictoriaTraces/issues) or submit feedback through the dashboard review system.\r\n\r\nMore information about VictoriaTraces can be found in the [official documentation](https://docs.victoriametrics.com/victoriatraces/).\r\n\r\nNew releases and container images are available at the [VictoriaTraces releases page](https://github.com/VictoriaMetrics/VictoriaTraces/releases) and [DockerHub](https://hub.docker.com/u/victoriametrics?page=1&search=traces).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2025-09-22T09:50:53.000Z","updatedAt":"2026-03-06T07:33:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24134"},{"rel":"revisions","href":"/dashboards/24134/revisions"},{"rel":"revision","href":"/dashboards/24134/revisions/3"},{"rel":"download","href":"/dashboards/24134/revisions/3/download"},{"rel":"org","href":"/orgs/victoriametrics"},{"rel":"images","href":"/dashboards/24134/images"},{"rel":"thumbnails","href":"/dashboards/24134/thumbnails"}]},{"id":24136,"status":1,"statusCode":"active","orgId":247913,"orgSlug":"victoriametrics","orgName":"VictoriaMetrics","slug":"victoriatraces-single-node","downloads":1458,"revisionId":40109,"revision":3,"name":"VictoriaTraces - single-node","description":"Overview for single-node VictoriaTraces v0.3.0 or higher","readme":"### VictoriaTraces single-server overview\r\n\r\n### Requirements\r\nVictoriaTraces: each [revision](https://grafana.com/grafana/dashboards/24136/revisions) may have different VictoriaTraces version requirements.\r\n\r\nGrafana: each [revision](https://grafana.com/grafana/dashboards/10229/revisions) may have different Grafana version requirements.\r\n\r\nUse Prometheus datasource with this dashboard.\r\n\r\nTo scrape metrics, configure VictoriaMetrics, vmagent or Prometheus job to scrape `victoriatraces-addr/metrics` address. More details about monitoring may be found [here](https://docs.victoriametrics.com/victoriatraces/#monitoring).\r\n\r\n### Description\r\nThe dashboard contain comprehensive monitoring sections organized by functionality areas:\r\n\r\n- **Stats** - High-level metrics including total trace spans, ingestion rates, disk usage, and system version information\r\n- **Overview** - Real-time visualization of span ingestion rates, request patterns, error rates, and performance trends\r\n- **Resource usage** - CPU utilization, memory consumption, network activity, garbage collection metrics, and system pressure indicators\r\n- **Troubleshooting** - Debugging panels for error tracking, configuration validation, and operational diagnostics\r\n- **Slow Query Troubleshooting** - Query performance analysis, optimization metrics, and latency diagnostics\r\n\r\nAdditional specialized sections include:\r\n\r\n- **Storage** operations with merge performance and indexing metrics\r\n- **Ingestion** pipeline monitoring with flush operations and data flow rates\r\n- **Querying** performance with request latencies and timeout tracking\r\n\r\nIf you have suggestions for improvements or discover any issues, please feel free to create an [issue](https://github.com/VictoriaMetrics/VictoriaTraces/issues) or submit feedback through the dashboard review system.\r\n\r\nMore information about VictoriaTraces can be found in the [official documentation](https://docs.victoriametrics.com/victoriatraces/).\r\n\r\nNew releases and container images are available at the [VictoriaTraces releases page](https://github.com/VictoriaMetrics/VictoriaTraces/releases) and [DockerHub](https://hub.docker.com/u/victoriametrics?page=1&search=traces).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2025-09-22T13:48:39.000Z","updatedAt":"2026-03-06T07:34:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24136"},{"rel":"revisions","href":"/dashboards/24136/revisions"},{"rel":"revision","href":"/dashboards/24136/revisions/3"},{"rel":"download","href":"/dashboards/24136/revisions/3/download"},{"rel":"org","href":"/orgs/victoriametrics"},{"rel":"images","href":"/dashboards/24136/images"},{"rel":"thumbnails","href":"/dashboards/24136/thumbnails"}]},{"id":14597,"status":1,"statusCode":"active","orgId":512829,"orgSlug":"docbrown","orgName":"docbrown","slug":"victron-smartsolar","downloads":1136,"revisionId":28496,"revision":3,"name":"Victron SmartSolar","description":"Dashboard to display Victron MPPT values.","readme":"# 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single instance graphs.","readme":"Dashboard for vmware_exporter\nhttps://github.com/srkaviani/vmware_exporter/","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-12-30T11:02:54.000Z","updatedAt":"2021-12-30T11:04:22.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15447"},{"rel":"revisions","href":"/dashboards/15447/revisions"},{"rel":"revision","href":"/dashboards/15447/revisions/1"},{"rel":"download","href":"/dashboards/15447/revisions/1/download"},{"rel":"org","href":"/orgs/soroush7339"},{"rel":"images","href":"/dashboards/15447/images"},{"rel":"thumbnails","href":"/dashboards/15447/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18018,"status":1,"statusCode":"active","orgId":417484,"orgSlug":"leif160519","orgName":"leif160519","slug":"vmware-host","downloads":654,"revisionId":27635,"revision":1,"name":"VMware Host","description":"VMware ESXi single instance graphs.","readme":"Referenced from：https://grafana.com/grafana/dashboards/15446-vmware-vm/\r\n\r\nHow to instan vmware_exporter:\r\n## 1.vim docker-comose.yml\r\n```\r\nversion: '3'\r\nservices:\r\n  vmware_exporter:\r\n    image: pryorda/vmware_exporter:latest\r\n    restart: always\r\n    hostname: vmware_exporter\r\n    container_name: vmware_exporter\r\n    environment:\r\n      - VSPHERE_USER=administrator@vsphere.local\r\n      - VSPHERE_PASSWORD=123456\r\n      - VSPHERE_HOST=192.168.1.1\r\n      - VSPHERE_IGNORE_SSL=True\r\n      - VSPHERE_SPECS_SIZE=2000\r\n    ports:\r\n      - 9272:9272\r\n```\r\n\r\n## 2.pull image and run\r\n```\r\ndocker-compose -f docker-compose.yml up -d\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-01T03:06:51.000Z","updatedAt":"2023-02-02T05:56:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18018"},{"rel":"revisions","href":"/dashboards/18018/revisions"},{"rel":"revision","href":"/dashboards/18018/revisions/1"},{"rel":"download","href":"/dashboards/18018/revisions/1/download"},{"rel":"org","href":"/orgs/leif160519"},{"rel":"images","href":"/dashboards/18018/images"},{"rel":"thumbnails","href":"/dashboards/18018/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20878,"status":1,"statusCode":"active","orgId":1029081,"orgSlug":"prezhdarov1","orgName":"prezhdarov","slug":"host-view","downloads":491,"revisionId":32379,"revision":1,"name":"VMware Host View","description":"Host View for vmware-exporter","readme":"This dashboard can be used with [vmware-exporter](https://github.com/prezhdarov/vmware-exporter) collected data.\r\n\r\nMeant to be used together with [vCenter View](https://grafana.com/grafana/dashboards/20293-vcenter-view/), [Cluster View](https://grafana.com/grafana/dashboards/20877-cluster-view/), [Datastore View](https://grafana.com/grafana/dashboards/20879-datastore-view/) and [VM View](https://grafana.com/grafana/dashboards/20880-vm-view/)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-12T17:31:00.000Z","updatedAt":"2024-04-12T17:52:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20878"},{"rel":"revisions","href":"/dashboards/20878/revisions"},{"rel":"revision","href":"/dashboards/20878/revisions/1"},{"rel":"download","href":"/dashboards/20878/revisions/1/download"},{"rel":"org","href":"/orgs/prezhdarov1"},{"rel":"images","href":"/dashboards/20878/images"},{"rel":"thumbnails","href":"/dashboards/20878/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18017,"status":1,"statusCode":"active","orgId":417484,"orgSlug":"leif160519","orgName":"leif160519","slug":"vmware-overview","downloads":1113,"revisionId":27634,"revision":1,"name":"VMware Overview","description":"Uses prometheus queries via pryorda/vmware_exporter","readme":"Referenced from：https://grafana.com/grafana/dashboards/11243-vmware-stats/\r\n\r\nHow to instan vmware_exporter:\r\n## 1.vim docker-comose.yml\r\n```\r\nversion: '3'\r\nservices:\r\n  vmware_exporter:\r\n    image: pryorda/vmware_exporter:latest\r\n    restart: always\r\n    hostname: vmware_exporter\r\n    container_name: vmware_exporter\r\n    environment:\r\n      - VSPHERE_USER=administrator@vsphere.local\r\n      - VSPHERE_PASSWORD=123456\r\n      - VSPHERE_HOST=192.168.1.1\r\n      - VSPHERE_IGNORE_SSL=True\r\n      - VSPHERE_SPECS_SIZE=2000\r\n    ports:\r\n      - 9272:9272\r\n```\r\n\r\n## 2.pull image and run\r\n```\r\ndocker-compose -f docker-compose.yml up -d\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-01T02:58:17.000Z","updatedAt":"2023-02-02T05:56:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18017"},{"rel":"revisions","href":"/dashboards/18017/revisions"},{"rel":"revision","href":"/dashboards/18017/revisions/1"},{"rel":"download","href":"/dashboards/18017/revisions/1/download"},{"rel":"org","href":"/orgs/leif160519"},{"rel":"images","href":"/dashboards/18017/images"},{"rel":"thumbnails","href":"/dashboards/18017/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3571,"status":1,"statusCode":"active","orgId":93886,"orgSlug":"sofixa","orgName":"sofixa","slug":"vmware-performance","downloads":1034,"revisionId":5424,"revision":2,"name":"VMware performance","description":"A nice per-VM(or per multiple VM) overview of VMware performance metrics.","readme":"You need to be running this collector https://github.com/Oxalide/vsphere-influxdb-go to get the VMware metrics needed, with the appropriate configuration (the example .json is a good starting point), and metric collection level 4 for the collection interval 60(id 1).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-10-26T21:01:51.000Z","updatedAt":"2017-12-12T16:38:34.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3571"},{"rel":"revisions","href":"/dashboards/3571/revisions"},{"rel":"revision","href":"/dashboards/3571/revisions/2"},{"rel":"download","href":"/dashboards/3571/revisions/2/download"},{"rel":"org","href":"/orgs/sofixa"},{"rel":"images","href":"/dashboards/3571/images"},{"rel":"thumbnails","href":"/dashboards/3571/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10569,"status":1,"statusCode":"active","orgId":265995,"orgSlug":"kjons76","orgName":"kjons76","slug":"vmware-performance-vm","downloads":347,"revisionId":14771,"revision":1,"name":"VMware Performance: VM","description":"app01\n","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2019-07-19T16:36:13.000Z","updatedAt":"2019-07-19T16:36:40.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10569"},{"rel":"revisions","href":"/dashboards/10569/revisions"},{"rel":"revision","href":"/dashboards/10569/revisions/1"},{"rel":"download","href":"/dashboards/10569/revisions/1/download"},{"rel":"org","href":"/orgs/kjons76"},{"rel":"images","href":"/dashboards/10569/images"},{"rel":"thumbnails","href":"/dashboards/10569/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":11243,"status":1,"statusCode":"active","orgId":315715,"orgSlug":"intrand","orgName":"intrand","slug":"vmware-stats","downloads":3301,"revisionId":15692,"revision":1,"name":"VMware stats","description":"Uses prometheus queries via pryorda/vmware_exporter","readme":"Written around pryorda/vmware_exporter:v0.10.4\r\n\r\nSupports choosing datacenter, host, vm and datastore to limit loading.\r\n\r\nPanels that would be busy without limiting are hidden by default, allowing you to filter before stats are pulled.\r\n\r\nShows varying levels of information -- some very high level stats useful for showing what an average VM consumes, down to individual VM stats.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-21T03:11:11.000Z","updatedAt":"2019-11-21T03:19:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4.5,"links":[{"rel":"self","href":"/dashboards/11243"},{"rel":"revisions","href":"/dashboards/11243/revisions"},{"rel":"revision","href":"/dashboards/11243/revisions/1"},{"rel":"download","href":"/dashboards/11243/revisions/1/download"},{"rel":"org","href":"/orgs/intrand"},{"rel":"images","href":"/dashboards/11243/images"},{"rel":"thumbnails","href":"/dashboards/11243/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15446,"status":1,"statusCode":"active","orgId":582489,"orgSlug":"soroush7339","orgName":"srkaviani","slug":"vmware-vm","downloads":547,"revisionId":23305,"revision":1,"name":"VMware VM","description":"VMware ESXi single instance graphs. Edited by Soroush Kaviani","readme":"Dashboard for Vmware Exporter\nhttps://github.com/srkaviani/vmware_exporter/","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-12-30T10:58:32.000Z","updatedAt":"2021-12-30T11:01:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15446"},{"rel":"revisions","href":"/dashboards/15446/revisions"},{"rel":"revision","href":"/dashboards/15446/revisions/1"},{"rel":"download","href":"/dashboards/15446/revisions/1/download"},{"rel":"org","href":"/orgs/soroush7339"},{"rel":"images","href":"/dashboards/15446/images"},{"rel":"thumbnails","href":"/dashboards/15446/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18019,"status":1,"statusCode":"active","orgId":417484,"orgSlug":"leif160519","orgName":"leif160519","slug":"vmware-vm","downloads":1620,"revisionId":27636,"revision":1,"name":"VMware VM","description":"VMware ESXi single instance graphs. Edited by Soroush Kaviani","readme":"Referenced from：https://grafana.com/grafana/dashboards/15446-vmware-vm/\r\n\r\nHow to instan vmware_exporter:\r\n## 1.vim docker-comose.yml\r\n```\r\nversion: '3'\r\nservices:\r\n  vmware_exporter:\r\n    image: pryorda/vmware_exporter:latest\r\n    restart: always\r\n    hostname: vmware_exporter\r\n    container_name: vmware_exporter\r\n    environment:\r\n      - VSPHERE_USER=administrator@vsphere.local\r\n      - VSPHERE_PASSWORD=123456\r\n      - VSPHERE_HOST=192.168.1.1\r\n      - VSPHERE_IGNORE_SSL=True\r\n      - VSPHERE_SPECS_SIZE=2000\r\n    ports:\r\n      - 9272:9272\r\n```\r\n\r\n## 2.pull image and run\r\n```\r\ndocker-compose -f docker-compose.yml up -d\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-01T03:10:09.000Z","updatedAt":"2023-02-02T05:56:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18019"},{"rel":"revisions","href":"/dashboards/18019/revisions"},{"rel":"revision","href":"/dashboards/18019/revisions/1"},{"rel":"download","href":"/dashboards/18019/revisions/1/download"},{"rel":"org","href":"/orgs/leif160519"},{"rel":"images","href":"/dashboards/18019/images"},{"rel":"thumbnails","href":"/dashboards/18019/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20880,"status":1,"statusCode":"active","orgId":1029081,"orgSlug":"prezhdarov1","orgName":"prezhdarov","slug":"vm-view","downloads":611,"revisionId":32381,"revision":1,"name":"VMware VM View","description":"Virtual Machine View for vmware-exporter","readme":"This dashboard can be used with [vmware-exporter](https://github.com/prezhdarov/vmware-exporter) collected data.\r\n\r\nMeant to be used together with [vCenter View](https://grafana.com/grafana/dashboards/20293-vcenter-view/), [Cluster View](https://grafana.com/grafana/dashboards/20877-cluster-view/), [Host View](https://grafana.com/grafana/dashboards/20878-host-view/) and [Datastore View](https://grafana.com/grafana/dashboards/20879-datastore-view/)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-12T17:45:17.000Z","updatedAt":"2024-04-12T17:53:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20880"},{"rel":"revisions","href":"/dashboards/20880/revisions"},{"rel":"revision","href":"/dashboards/20880/revisions/1"},{"rel":"download","href":"/dashboards/20880/revisions/1/download"},{"rel":"org","href":"/orgs/prezhdarov1"},{"rel":"images","href":"/dashboards/20880/images"},{"rel":"thumbnails","href":"/dashboards/20880/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10431,"status":1,"statusCode":"active","orgId":255428,"orgSlug":"yuxin","orgName":"yuxin","slug":"host-domclient","downloads":700,"revisionId":14563,"revision":1,"name":"VMware vSAN Host-domclient","description":"VMware vSAN Dashboard using the Telegraf plugin","readme":"","collectorType":"Telegraf","collectorConfig":"The vSAN extension is currently only available in our  own [branch](https://github.com/wavefrontHQ/telegraf/tree/feature-vsan). Configure the vSphere plugin to enable the vSAN features. See more [here](https://github.com/wavefrontHQ/telegraf/blob/feature-vsan/plugins/inputs/vsphere/README-VSAN.md)\n```\n[[inputs.vsphere]]\n  vcenters = [\"https://<vcenter-ip>/sdk\", \"https://<vcenter2-ip>/sdk\"]\n  username = \"<user>\"\n  password = \"<pwd>\"\n\n  # Exclude all other metrics\n  vm_metric_exclude = [\"*\"]\n  datastore_metric_exclude = [\"*\"]\n  datacenter_metric_exclude = [\"*\"]\n  host_metric_exclude = [\"*\"]\n  cluster_metric_exclude = [\"*\"]\n  \n  # Enable vSan\n  vsan_enabled = true\n  # By default all supported entity will be included\n  vsan_perf_metric_include = [\"*\"]\n  vsan_metric_skip_verify = false\n  # vsan_perf_metric_exclude = [\"*\"]\n  vsan_cluster_include = [\"/*/host/**\"]\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-06-24T23:31:21.000Z","updatedAt":"2019-06-24T23:40:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/10431"},{"rel":"revisions","href":"/dashboards/10431/revisions"},{"rel":"revision","href":"/dashboards/10431/revisions/1"},{"rel":"download","href":"/dashboards/10431/revisions/1/download"},{"rel":"org","href":"/orgs/yuxin"},{"rel":"images","href":"/dashboards/10431/images"},{"rel":"thumbnails","href":"/dashboards/10431/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10430,"status":1,"statusCode":"active","orgId":255428,"orgSlug":"yuxin","orgName":"yuxin","slug":"vsan-summary","downloads":1083,"revisionId":14562,"revision":1,"name":"VMware vSAN Overview","description":"VMware vSAN Dashboard using the Telegraf plugin","readme":"You may also download as well the next Dashboards to have the full vSAN Hosts and Disks visibility:\n\n* [Grafana vSAN Host-Domclient Dashboard](https://grafana.com/dashboards/10431)\n","collectorType":"Telegraf","collectorConfig":"The vSAN extension is currently only available in our  own [branch](https://github.com/wavefrontHQ/telegraf/tree/feature-vsan). Configure the vSphere plugin to enable the vSAN features. See more [here](https://github.com/wavefrontHQ/telegraf/blob/feature-vsan/plugins/inputs/vsphere/README-VSAN.md)\n```\n[[inputs.vsphere]]\n  vcenters = [\"https://<vcenter-ip>/sdk\", \"https://<vcenter2-ip>/sdk\"]\n  username = \"<user>\"\n  password = \"<pwd>\"\n\n  # Exclude all other metrics\n  vm_metric_exclude = [\"*\"]\n  datastore_metric_exclude = [\"*\"]\n  datacenter_metric_exclude = [\"*\"]\n  host_metric_exclude = [\"*\"]\n  cluster_metric_exclude = [\"*\"]\n  \n  # Enable vSan\n  vsan_enabled = true\n  # By default all supported entity will be included\n  vsan_perf_metric_include = [\"*\"]\n  vsan_metric_skip_verify = false\n  # vsan_perf_metric_exclude = [\"*\"]\n  vsan_cluster_include = [\"/*/host/**\"]\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-06-24T23:07:11.000Z","updatedAt":"2019-06-24T23:42:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/10430"},{"rel":"revisions","href":"/dashboards/10430/revisions"},{"rel":"revision","href":"/dashboards/10430/revisions/1"},{"rel":"download","href":"/dashboards/10430/revisions/1/download"},{"rel":"org","href":"/orgs/yuxin"},{"rel":"images","href":"/dashboards/10430/images"},{"rel":"thumbnails","href":"/dashboards/10430/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":8165,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"vmware-vsphere-hosts","downloads":115599,"revisionId":34061,"revision":21,"name":"VMware vSphere  - Hosts","description":"VMware vSphere Dashboard - Hosts (Grafana 11.x / InfluxDB v2.x)","readme":"**Attention - Latest versions of this Dashboard have been built for InfluxDB v2.0 using Flux, you can easily see it under the revisions tab, grab the one you need for your InfluxDB v1.8 or v2.0**\r\n\r\nThis dashboard contains two different sections, one to monitor the ESXi and vCenter Performance, and another one for Virtual Machines Performance. The Dashboard has variables to make it easier to use, and more suitable for all different workloads out there. The gauges are configured automatically as well to the Datastores you select, in case you have so many, consider changing the Min Width on the Repeat Panel.\r\n\r\nYou should download as well the next Dashboards to have the full Hosts and Datastores visibility:\r\n* [Grafana vSphere Overview Dashboard](https://grafana.com/dashboards/8159)\r\n* [Grafana vSphere Datastores Dashboard](https://grafana.com/dashboards/8162)\r\n* [Grafana vSphere VMs Dashboard](https://grafana.com/dashboards/8168)\r\n\r\nUsing the latest version of Telegraf should work, more information [here](https://github.com/influxdata/telegraf/tree/release-1.8/plugins/inputs/vsphere)\r\n\r\n![alt tag](https://www.dropbox.com/s/vs00q9to3hmugwh/vsphere-dashboard-hosts-grafana7.png?dl=1)\r\n\r\nMore information is available at: https://jorgedelacruz.es\r\n\r\n## Measurements &amp; Fields\r\n\r\n- Cluster Stats\r\n\t- Cluster services: CPU, memory, failover\r\n\t- CPU: total, usage\r\n\t- Memory: consumed, total, vmmemctl\r\n\t- VM operations: # changes, clone, create, deploy, destroy, power, reboot, reconfigure, register, reset, shutdown, standby, vmotion\r\n- Host Stats:\r\n\t- CPU: total, usage, cost, mhz\r\n\t- Datastore: iops, latency, read/write bytes, # reads/writes\r\n\t- Disk: commands, latency, kernel reads/writes, # reads/writes, queues\r\n\t- Memory: total, usage, active, latency, swap, shared, vmmemctl\r\n\t- Network: broadcast, bytes, dropped, errors, multicast, packets, usage\r\n\t- Power: energy, usage, capacity\r\n\t- Res CPU: active, max, running\r\n\t- Storage Adapter: commands, latency, # reads/writes\r\n\t- Storage Path: commands, latency, # reads/writes\r\n\t- System Resources: cpu active, cpu max, cpu running, cpu usage, mem allocated, mem consumed, mem shared, swap\r\n\t- System: uptime\r\n\t- Flash Module: active VMDKs \r\n- VM Stats:\r\n\t- CPU: demand, usage, readiness, cost, mhz\r\n\t- Datastore: latency, # reads/writes\r\n\t- Disk: commands, latency, # reads/writes, provisioned, usage\r\n\t- Memory: granted, usage, active, swap, vmmemctl\r\n\t- Network: broadcast, bytes, dropped, multicast, packets, usage\r\n\t- Power: energy, usage\r\n\t- Res CPU: active, max, running\r\n\t- System: operating system uptime, uptime\r\n\t- Virtual Disk: seeks, # reads/writes, latency, load \r\n- Datastore stats:\r\n\t- Disk: Capacity, provisioned, used  ","collectorType":"Telegraf","collectorConfig":"**Attention - Latest versions of this Dashboard have been built for InfluxDB v2.0 using Flux, you can easily see it under the revisions tab, grab the one you need for your InfluxDB v1.8 or v2.0**\r\n\r\nJust download the latest Telegraf version which includes the vSphere Plugin, create a new file under /etc/telegraf/telegraf.d/vsphere-stats.conf and add the next:\r\n\r\n```\r\n## Realtime instance\r\n[[inputs.vsphere]]\r\n## List of vCenter URLs to be monitored. These three lines must be uncommented\r\n## and edited for the plugin to work.\r\ninterval = \"20s\"\r\n  vcenters = [ \"https://someaddress/sdk\" ]\r\n  username = \"someuser@vsphere.local\"\r\n  password = \"secret\"\r\n\r\nvm_metric_include = []\r\nhost_metric_include = []\r\ncluster_metric_exclude = [\"*\"]\r\ndatastore_metric_exclude = [\"*\"]\r\n\r\nmax_query_metrics = 256\r\ntimeout = \"60s\"\r\ninsecure_skip_verify = true\r\n\r\n## Historical instance\r\n[[inputs.vsphere]]\r\ninterval = \"300s\"\r\n  vcenters = [ \"https://someaddress/sdk\" ]\r\n  username = \"someuser@vsphere.local\"\r\n  password = \"secret\"\r\n\r\n  datastore_metric_include = [ \"disk.capacity.latest\", \"disk.used.latest\", \"disk.provisioned.latest\"]\r\n  insecure_skip_verify = true\r\n  force_discover_on_init = true\r\n  cluster_metric_include = [\"*\"]\r\n  datacenter_metric_include = [\"*\"]\r\n  host_metric_exclude = [\"*\"] # Exclude realtime metrics\r\n  vm_metric_exclude = [\"*\"] # Exclude realtime metrics\r\n\r\n  max_query_metrics = 256\r\n  collect_concurrency = 3\r\n``` \r\n\r\nRestart the Telegraf services and enjoy","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-09-30T01:36:26.000Z","updatedAt":"2024-08-25T17:09:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":8,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/8165"},{"rel":"revisions","href":"/dashboards/8165/revisions"},{"rel":"revision","href":"/dashboards/8165/revisions/21"},{"rel":"download","href":"/dashboards/8165/revisions/21/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/8165/images"},{"rel":"thumbnails","href":"/dashboards/8165/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9985,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"vmware-vsphere-hosts-ipmi","downloads":2011,"revisionId":17696,"revision":2,"name":"VMware vSphere  - Hosts IPMI","description":"VMware vSphere Dashboard using the Telegraf IPMI plugin (Grafana 7)","readme":"This dashboard contains the needed information to show the measurements of a n IPMI from Supermicro and HPE Servers using iLO. The Dashboard comes handy to have in one quick view deep visibility across different branches and vendors, and focus just on the health and status of the Infrastructure.\n\nThis Dashboard complements the previous four using the vSphere Telegraf input, so you can have a deep visibility of vSphere, follow the next links if you are interested in other monitoring like VMs CPU and RAM Usages, Storage, etc.\n\nYou should download as well the next Dashboards to have the full Hosts and Datastores visibility:\n* [Grafana vSphere Overview](https://grafana.com/dashboards/8159)\n* [Grafana vSphere Datastore Dashboard](https://grafana.com/dashboards/8162)\n* [Grafana vSphere Hosts Dashboard](https://grafana.com/dashboards/8165)\n* [Grafana vSphere VMs Dashboard](https://grafana.com/dashboards/8168)\n\nUsing the latest version of Telegraf should work, more information [here](https://github.com/influxdata/telegraf/tree/release-1.8/plugins/inputs/vsphere)\n\n![alt tag](https://www.dropbox.com/s/ky0e9ile0e04srm/2020-05-26_11-52-53.png?dl=1)\n\nMore information available in: https://jorgedelacruz.es\n\n## Measurements &amp; Fields\n\n- Temperature\n\t- CPU\n\t- RAM DIMM\n\t- PCI\n\t- Environment\n- Voltage\n- Chassis Intrusion\n","collectorType":"Telegraf","collectorConfig":"[[inputs.ipmi_sensor]]\n    servers = [\"MYUSER:MYPASS@lan(MYSUPERMICROIPMIIP)\",\"MYUSER:MYPASS@lanplus(MYHPEIPMIIP)\"]\n   interval = \"30s\"\n   timeout = \"20s\"","collectorPluginList":"ipmi_sensor","datasource":"InfluxDB","privacy":"public","createdAt":"2019-03-31T23:42:56.000Z","updatedAt":"2020-05-26T10:58:08.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/9985"},{"rel":"revisions","href":"/dashboards/9985/revisions"},{"rel":"revision","href":"/dashboards/9985/revisions/2"},{"rel":"download","href":"/dashboards/9985/revisions/2/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/9985/images"},{"rel":"thumbnails","href":"/dashboards/9985/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":8159,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"vmware-vsphere-overview","downloads":144471,"revisionId":36251,"revision":50,"name":"VMware vSphere  - Overview","description":"VMware vSphere Dashboard (Grafana 11.x / InfluxDB v2.x)","readme":"**Attention - Latest versions of this Dashboard have been built for InfluxDB v2.0 using Flux, you can easily see it under the revisions tab, grab the one you need for your InfluxDB v1.8 or v2.0**\r\n\r\nThis dashboard contains five different sections, one to monitor the ESXi and vCenter Performance, another for Virtual Machines Performance, another for Disks, another for Storage, and another for Hosts and Hosts IPMI. The Dashboard has variables to make it easier to use, and more suitable for all different workloads out there. The gauges are configured automatically as well to the Datastores you select, in case you have so many, consider to change the Min Width on the Repeat Panel.\r\n\r\nYou should download as well the next Dashboards to have the full Hosts and Datastores visibility:\r\n* [Grafana vSphere Datastore Dashboard](https://grafana.com/dashboards/8162)\r\n* [Grafana vSphere Hosts Dashboard](https://grafana.com/dashboards/8165)\r\n* [Grafana vSphere VMs Dashboard](https://grafana.com/dashboards/8168)\r\n\r\nUsing the latest version of Telegraf should work, more information [here](https://github.com/influxdata/telegraf/tree/release-1.8/plugins/inputs/vsphere)\r\n\r\n![alt tag](https://www.jorgedelacruz.es/wp-content/uploads/2021/04/grafana-vsphere-2021.png)\r\n\r\nMore information is available at: https://jorgedelacruz.es\r\n\r\n## Measurements &amp; Fields\r\n\r\n- Cluster Stats\r\n\t- Cluster services: CPU, memory, failover\r\n\t- CPU: total, usage\r\n\t- Memory: consumed, total, vmmemctl\r\n\t- VM operations: # changes, clone, create, deploy, destroy, power, reboot, reconfigure, register, reset, shutdown, standby, vmotion\r\n- Host Stats:\r\n\t- CPU: total, usage, cost, mhz\r\n\t- Datastore: iops, latency, read/write bytes, # reads/writes\r\n\t- Disk: commands, latency, kernel reads/writes, # reads/writes, queues\r\n\t- Memory: total, usage, active, latency, swap, shared, vmmemctl\r\n\t- Network: broadcast, bytes, dropped, errors, multicast, packets, usage\r\n\t- Power: energy, usage, capacity\r\n\t- Res CPU: active, max, running\r\n\t- Storage Adapter: commands, latency, # reads/writes\r\n\t- Storage Path: commands, latency, # reads/writes\r\n\t- System Resources: cpu active, cpu max, cpu running, cpu usage, mem allocated, mem consumed, mem shared, swap\r\n\t- System: uptime\r\n\t- Flash Module: active VMDKs \r\n- VM Stats:\r\n\t- CPU: demand, usage, readiness, cost, mhz\r\n\t- Datastore: latency, # reads/writes\r\n\t- Disk: commands, latency, # reads/writes, provisioned, usage\r\n\t- Memory: granted, usage, active, swap, vmmemctl\r\n\t- Network: broadcast, bytes, dropped, multicast, packets, usage\r\n\t- Power: energy, usage\r\n\t- Res CPU: active, max, running\r\n\t- System: operating system uptime, uptime\r\n\t- Virtual Disk: seeks, # reads/writes, latency, load \r\n- Datastore stats:\r\n\t- Disk: Capacity, provisioned, used  \r\n","collectorType":"Telegraf","collectorConfig":"**Attention - Latest versions of this Dashboard have been built for InfluxDB v2.0 using Flux, you can easily see it under the revisions tab, grab the one you need for your InfluxDB v1.8 or v2.0**\r\n\r\nJust download the latest Telegraf version which includes the vSphere Plugin, create a new file under /etc/telegraf/telegraf.d/vsphere-stats.conf and add the next:\r\n\r\n```\r\n## Realtime instance\r\n[[inputs.vsphere]]\r\n## List of vCenter URLs to be monitored. These three lines must be uncommented\r\n## and edited for the plugin to work.\r\ninterval = \"20s\"\r\n  vcenters = [ \"https://someaddress/sdk\" ]\r\n  username = \"someuser@vsphere.local\"\r\n  password = \"secret\"\r\n\r\nvm_metric_include = []\r\nhost_metric_include = []\r\ncluster_metric_exclude = [\"*\"]\r\ndatastore_metric_exclude = [\"*\"]\r\n\r\nmax_query_metrics = 256\r\ntimeout = \"60s\"\r\ninsecure_skip_verify = true\r\n\r\n## Historical instance\r\n[[inputs.vsphere]]\r\ninterval = \"300s\"\r\n  vcenters = [ \"https://someaddress/sdk\" ]\r\n  username = \"someuser@vsphere.local\"\r\n  password = \"secret\"\r\n\r\n  datastore_metric_include = [ \"disk.capacity.latest\", \"disk.used.latest\", \"disk.provisioned.latest\"]\r\n  insecure_skip_verify = true\r\n  force_discover_on_init = true\r\n  cluster_metric_include = [\"*\"]\r\n  datacenter_metric_include = [\"*\"]\r\n  host_metric_exclude = [\"*\"] # Exclude realtime metrics\r\n  vm_metric_exclude = [\"*\"] # Exclude realtime metrics\r\n\r\n  max_query_metrics = 256\r\n  collect_concurrency = 3\r\n``` \r\n\r\nRestart the Telegraf services and enjoy","collectorPluginList":null,"datasource":"__expr__, InfluxDB","privacy":"public","createdAt":"2018-09-29T01:25:08.000Z","updatedAt":"2025-02-26T19:03:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":30,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/8159"},{"rel":"revisions","href":"/dashboards/8159/revisions"},{"rel":"revision","href":"/dashboards/8159/revisions/50"},{"rel":"download","href":"/dashboards/8159/revisions/50/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/8159/images"},{"rel":"thumbnails","href":"/dashboards/8159/thumbnails"}],"datasourceSlugs":["__expr__","influxdb"]},{"id":18277,"status":1,"statusCode":"active","orgId":814896,"orgSlug":"poornaprakash","orgName":"poornaprakash","slug":"vmware-vsphere-overview","downloads":351,"revisionId":28053,"revision":1,"name":"VMware vSphere  - Overview","description":"VMware vSphere Dashboard (Grafana 9.x / InfluxDB v2.0)","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-03-14T10:41:34.000Z","updatedAt":"2023-03-14T10:42:34.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18277"},{"rel":"revisions","href":"/dashboards/18277/revisions"},{"rel":"revision","href":"/dashboards/18277/revisions/1"},{"rel":"download","href":"/dashboards/18277/revisions/1/download"},{"rel":"org","href":"/orgs/poornaprakash"},{"rel":"images","href":"/dashboards/18277/images"},{"rel":"thumbnails","href":"/dashboards/18277/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18802,"status":1,"statusCode":"active","orgId":474145,"orgSlug":"xcelentit","orgName":"Azure X-celentit","slug":"vmware-vsphere-overview","downloads":419,"revisionId":28827,"revision":1,"name":"VMware vSphere  - Overview","description":"VMware vSphere Dashboard (Grafana 9.x / InfluxDB v2.0)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-05-22T12:30:47.000Z","updatedAt":"2023-05-22T12:31:05.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18802"},{"rel":"revisions","href":"/dashboards/18802/revisions"},{"rel":"revision","href":"/dashboards/18802/revisions/1"},{"rel":"download","href":"/dashboards/18802/revisions/1/download"},{"rel":"org","href":"/orgs/xcelentit"},{"rel":"images","href":"/dashboards/18802/images"},{"rel":"thumbnails","href":"/dashboards/18802/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":8168,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"vmware-vsphere-vms","downloads":118624,"revisionId":34063,"revision":17,"name":"VMware vSphere  - VMs","description":"VMware vSphere Dashboard - VMs (Grafana 11.x / InfluxDB v2.x)","readme":"**Attention - Latest versions of this Dashboard have been built for InfluxDB v2.0 using Flux, you can easily see it under the revisions tab, grab the one you need for your InfluxDB v1.8 or v2.0**\r\n\r\nThis dashboard contains two different sections, one to monitor the ESXi and vCenter Performance, and another one for Virtual Machines Performance. The Dashboard has variables to make it easier to use, and more suitable for all different workloads out there. The gauges are configured automatically as well to the Datastores you select, in case you have so many, consider changing the Min Width on the Repeat Panel.\r\n\r\nYou should download as well the next Dashboards to have the full Hosts and Datastores visibility:\r\n* [Grafana vSphere Overview Dashboard](https://grafana.com/dashboards/8159)\r\n* [Grafana vSphere Hosts Dashboard](https://grafana.com/dashboards/8165)\r\n* [Grafana vSphere Datastores Dashboard](https://grafana.com/dashboards/8162)\r\n\r\nUsing the latest version of Telegraf should work, more information [here](https://github.com/influxdata/telegraf/tree/release-1.8/plugins/inputs/vsphere)\r\n\r\n![alt tag](https://jorgedelacruz.uk/wp-content/uploads/2018/10/vsphere-dashboard-vms-grafana7.png)\r\n\r\nMore information is available at: https://jorgedelacruz.es\r\n\r\n## Measurements &amp; Fields\r\n\r\n- Cluster Stats\r\n\t- Cluster services: CPU, memory, failover\r\n\t- CPU: total, usage\r\n\t- Memory: consumed, total, vmmemctl\r\n\t- VM operations: # changes, clone, create, deploy, destroy, power, reboot, reconfigure, register, reset, shutdown, standby, vmotion\r\n- Host Stats:\r\n\t- CPU: total, usage, cost, mhz\r\n\t- Datastore: iops, latency, read/write bytes, # reads/writes\r\n\t- Disk: commands, latency, kernel reads/writes, # reads/writes, queues\r\n\t- Memory: total, usage, active, latency, swap, shared, vmmemctl\r\n\t- Network: broadcast, bytes, dropped, errors, multicast, packets, usage\r\n\t- Power: energy, usage, capacity\r\n\t- Res CPU: active, max, running\r\n\t- Storage Adapter: commands, latency, # reads/writes\r\n\t- Storage Path: commands, latency, # reads/writes\r\n\t- System Resources: cpu active, cpu max, cpu running, cpu usage, mem allocated, mem consumed, mem shared, swap\r\n\t- System: uptime\r\n\t- Flash Module: active VMDKs \r\n- VM Stats:\r\n\t- CPU: demand, usage, readiness, cost, mhz\r\n\t- Datastore: latency, # reads/writes\r\n\t- Disk: commands, latency, # reads/writes, provisioned, usage\r\n\t- Memory: granted, usage, active, swap, vmmemctl\r\n\t- Network: broadcast, bytes, dropped, multicast, packets, usage\r\n\t- Power: energy, usage\r\n\t- Res CPU: active, max, running\r\n\t- System: operating system uptime, uptime\r\n\t- Virtual Disk: seeks, # reads/writes, latency, load \r\n- Datastore stats:\r\n\t- Disk: Capacity, provisioned, used  ","collectorType":"Telegraf","collectorConfig":"**Attention - Latest versions of this Dashboard have been built for InfluxDB v2.0 using Flux, you can easily see it under the revisions tab, grab the one you need for your InfluxDB v1.8 or v2.0**\r\n\r\nJust download the latest Telegraf version which includes the vSphere Plugin, create a new file under /etc/telegraf/telegraf.d/vsphere-stats.conf, and add the next:\r\n\r\n```\r\n## Realtime instance\r\n[[inputs.vsphere]]\r\n## List of vCenter URLs to be monitored. These three lines must be uncommented\r\n## and edited for the plugin to work.\r\ninterval = \"20s\"\r\n  vcenters = [ \"https://someaddress/sdk\" ]\r\n  username = \"someuser@vsphere.local\"\r\n  password = \"secret\"\r\n\r\nvm_metric_include = []\r\nhost_metric_include = []\r\ncluster_metric_exclude = [\"*\"]\r\ndatastore_metric_exclude = [\"*\"]\r\n\r\nmax_query_metrics = 256\r\ntimeout = \"60s\"\r\ninsecure_skip_verify = true\r\n\r\n## Historical instance\r\n[[inputs.vsphere]]\r\ninterval = \"300s\"\r\n  vcenters = [ \"https://someaddress/sdk\" ]\r\n  username = \"someuser@vsphere.local\"\r\n  password = \"secret\"\r\n\r\n  datastore_metric_include = [ \"disk.capacity.latest\", \"disk.used.latest\", \"disk.provisioned.latest\"]\r\n  insecure_skip_verify = true\r\n  force_discover_on_init = true\r\n  cluster_metric_include = [\"*\"]\r\n  datacenter_metric_include = [\"*\"]\r\n  host_metric_exclude = [\"*\"] # Exclude realtime metrics\r\n  vm_metric_exclude = [\"*\"] # Exclude realtime metrics\r\n\r\n  max_query_metrics = 256\r\n  collect_concurrency = 3\r\n``` \r\n\r\nRestart the Telegraf services and enjoy","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2018-09-30T02:03:46.000Z","updatedAt":"2024-08-25T17:11:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":18,"reviewsAvgRating":4.11,"links":[{"rel":"self","href":"/dashboards/8168"},{"rel":"revisions","href":"/dashboards/8168/revisions"},{"rel":"revision","href":"/dashboards/8168/revisions/17"},{"rel":"download","href":"/dashboards/8168/revisions/17/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/8168/images"},{"rel":"thumbnails","href":"/dashboards/8168/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":8162,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"vmware-vsphere-datastore","downloads":111038,"revisionId":36250,"revision":12,"name":"VMware vSphere - Datastore","description":"VMware vSphere Dashboard - Datastore (Grafana 11.x / InfluxDB v2.x)","readme":"**Attention - Latest versions of this Dashboard have been built for InfluxDB v2.0 using Flux, you can easily see it under the revisions tab, grab the one you need for your InfluxDB v1.8 or v2.0**\r\n\r\nThis dashboard contains two different sections, one to monitor the ESXi and vCenter Performance, and another one for Virtual Machines Performance. The Dashboard has variables to make it easier to use, and more suitable for all different workloads out there. The gauges are configured automatically as well to the Datastores you select, in case you have so many, consider changing the Min Width on the Repeat Panel.\r\n\r\nYou should download as well the next Dashboards to have the full Hosts and Datastores visibility:\r\n* [Grafana vSphere Overview Dashboard](https://grafana.com/dashboards/8159)\r\n* [Grafana vSphere Hosts Dashboard](https://grafana.com/dashboards/8165)\r\n* [Grafana vSphere VMs Dashboard](https://grafana.com/dashboards/8168)\r\n\r\nUsing the latest version of Telegraf should work, more information [here](https://github.com/influxdata/telegraf/tree/release-1.8/plugins/inputs/vsphere)\r\n\r\n![alt tag](https://www.dropbox.com/s/1xw4o9fg392lw1p/vsphere-dashboard-datastore-grafana7.png?dl=1)\r\n\r\nMore information is available at: https://jorgedelacruz.es\r\n\r\n## Measurements &amp; Fields\r\n\r\n- Cluster Stats\r\n\t- Cluster services: CPU, memory, failover\r\n\t- CPU: total, usage\r\n\t- Memory: consumed, total, vmmemctl\r\n\t- VM operations: # changes, clone, create, deploy, destroy, power, reboot, reconfigure, register, reset, shutdown, standby, vmotion\r\n- Host Stats:\r\n\t- CPU: total, usage, cost, mhz\r\n\t- Datastore: iops, latency, read/write bytes, # reads/writes\r\n\t- Disk: commands, latency, kernel reads/writes, # reads/writes, queues\r\n\t- Memory: total, usage, active, latency, swap, shared, vmmemctl\r\n\t- Network: broadcast, bytes, dropped, errors, multicast, packets, usage\r\n\t- Power: energy, usage, capacity\r\n\t- Res CPU: active, max, running\r\n\t- Storage Adapter: commands, latency, # reads/writes\r\n\t- Storage Path: commands, latency, # reads/writes\r\n\t- System Resources: cpu active, cpu max, cpu running, cpu usage, mem allocated, mem consumed, mem shared, swap\r\n\t- System: uptime\r\n\t- Flash Module: active VMDKs \r\n- VM Stats:\r\n\t- CPU: demand, usage, readiness, cost, mhz\r\n\t- Datastore: latency, # reads/writes\r\n\t- Disk: commands, latency, # reads/writes, provisioned, usage\r\n\t- Memory: granted, usage, active, swap, vmmemctl\r\n\t- Network: broadcast, bytes, dropped, multicast, packets, usage\r\n\t- Power: energy, usage\r\n\t- Res CPU: active, max, running\r\n\t- System: operating system uptime, uptime\r\n\t- Virtual Disk: seeks, # reads/writes, latency, load \r\n- Datastore stats:\r\n\t- Disk: Capacity, provisioned, used  ","collectorType":"Telegraf","collectorConfig":"**Attention - Latest versions of this Dashboard have been built for InfluxDB v2.0 using Flux, you can easily see it under the revisions tab, grab the one you need for your InfluxDB v1.8 or v2.0**\r\n\r\nJust download the latest Telegraf version which includes the vSphere Plugin, create a new file under /etc/telegraf/telegraf.d/vsphere-stats.conf and add the next:\r\n\r\n```\r\n## Realtime instance\r\n[[inputs.vsphere]]\r\n## List of vCenter URLs to be monitored. These three lines must be uncommented\r\n## and edited for the plugin to work.\r\ninterval = \"20s\"\r\n  vcenters = [ \"https://someaddress/sdk\" ]\r\n  username = \"someuser@vsphere.local\"\r\n  password = \"secret\"\r\n\r\nvm_metric_include = []\r\nhost_metric_include = []\r\ncluster_metric_exclude = [\"*\"]\r\ndatastore_metric_exclude = [\"*\"]\r\n\r\nmax_query_metrics = 256\r\ntimeout = \"60s\"\r\ninsecure_skip_verify = true\r\n\r\n## Historical instance\r\n[[inputs.vsphere]]\r\ninterval = \"300s\"\r\n  vcenters = [ \"https://someaddress/sdk\" ]\r\n  username = \"someuser@vsphere.local\"\r\n  password = \"secret\"\r\n\r\n  datastore_metric_include = [ \"disk.capacity.latest\", \"disk.used.latest\", \"disk.provisioned.latest\"]\r\n  insecure_skip_verify = true\r\n  force_discover_on_init = true\r\n  cluster_metric_include = [\"*\"]\r\n  datacenter_metric_include = [\"*\"]\r\n  host_metric_exclude = [\"*\"] # Exclude realtime metrics\r\n  vm_metric_exclude = [\"*\"] # Exclude realtime metrics\r\n\r\n  max_query_metrics = 256\r\n  collect_concurrency = 3\r\n``` \r\n\r\nRestart the Telegraf services and enjoy","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2018-09-30T01:33:08.000Z","updatedAt":"2025-02-26T18:21:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":5,"reviewsAvgRating":4.6,"links":[{"rel":"self","href":"/dashboards/8162"},{"rel":"revisions","href":"/dashboards/8162/revisions"},{"rel":"revision","href":"/dashboards/8162/revisions/12"},{"rel":"download","href":"/dashboards/8162/revisions/12/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/8162/images"},{"rel":"thumbnails","href":"/dashboards/8162/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":9929,"status":1,"statusCode":"active","orgId":240495,"orgSlug":"xkilian","orgName":"xkilian","slug":"vm-dashboard-vsphere-graphite","downloads":1487,"revisionId":13852,"revision":1,"name":"VMWare Vsphere - VM Dashboard -via vsphere-graphite","description":"Prometheus data source - dashboard for guest VM based on cblomart/vsphere-graphite for VMware Vsphere.","readme":"Dashboard for VMWare ESX hosted virtual machines that are collected by vsphere-graphite. cblomart/vsphere-graphite using the Prometheus backend.\r\nThe dashboard discovers automatically available clusters, vms and disks.\r\nDatasource is Prometheus.\r\nThis dashboard was inspired by #9925 which is not as complete and which is cannot be cleanly imported.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-03-15T18:38:30.000Z","updatedAt":"2019-03-16T01:11:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9929"},{"rel":"revisions","href":"/dashboards/9929/revisions"},{"rel":"revision","href":"/dashboards/9929/revisions/1"},{"rel":"download","href":"/dashboards/9929/revisions/1/download"},{"rel":"org","href":"/orgs/xkilian"},{"rel":"images","href":"/dashboards/9929/images"},{"rel":"thumbnails","href":"/dashboards/9929/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9925,"status":1,"statusCode":"active","orgId":240200,"orgSlug":"cblomart","orgName":"cblomart","slug":"vmware-vsphere-vm-perfs","downloads":912,"revisionId":13847,"revision":1,"name":"VMware vSphere - VM Perfs","description":"Performance of a VMware vSphere VM (Virtual Machine) collected to prometheus via vsphere-graphite (https://github.com/cblomart/sphere-graphite)","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-03-14T13:12:34.000Z","updatedAt":"2019-03-14T13:16:20.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9925"},{"rel":"revisions","href":"/dashboards/9925/revisions"},{"rel":"revision","href":"/dashboards/9925/revisions/1"},{"rel":"download","href":"/dashboards/9925/revisions/1/download"},{"rel":"org","href":"/orgs/cblomart"},{"rel":"images","href":"/dashboards/9925/images"},{"rel":"thumbnails","href":"/dashboards/9925/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22191,"status":1,"statusCode":"active","orgId":1259826,"orgSlug":"namnm1","orgName":"namnm1","slug":"vnpt-monitor","downloads":256,"revisionId":34851,"revision":1,"name":"VNPT-monitor","description":"Monitor","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"CSV","privacy":"public","createdAt":"2024-10-29T18:17:40.000Z","updatedAt":"2024-10-29T18:19:34.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22191"},{"rel":"revisions","href":"/dashboards/22191/revisions"},{"rel":"revision","href":"/dashboards/22191/revisions/1"},{"rel":"download","href":"/dashboards/22191/revisions/1/download"},{"rel":"org","href":"/orgs/namnm1"},{"rel":"images","href":"/dashboards/22191/images"},{"rel":"thumbnails","href":"/dashboards/22191/thumbnails"}],"datasourceSlugs":["marcusolsson-csv-datasource"]},{"id":22548,"status":1,"statusCode":"active","orgId":527415,"orgSlug":"jmoreira","orgName":"jmoreira","slug":"vnstat-metrics","downloads":348,"revisionId":35497,"revision":2,"name":"vnstat metrics","description":"vnstat dashboard","readme":"Use with: https://github.com/joaomnmoreira/vnstat-exporter","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-12-19T16:53:32.000Z","updatedAt":"2024-12-21T23:35:37.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22548"},{"rel":"revisions","href":"/dashboards/22548/revisions"},{"rel":"revision","href":"/dashboards/22548/revisions/2"},{"rel":"download","href":"/dashboards/22548/revisions/2/download"},{"rel":"org","href":"/orgs/jmoreira"},{"rel":"images","href":"/dashboards/22548/images"},{"rel":"thumbnails","href":"/dashboards/22548/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21356,"status":1,"statusCode":"active","orgId":657186,"orgSlug":"reefland","orgName":"reefland","slug":"volsync-dashboard","downloads":87857,"revisionId":33833,"revision":3,"name":"VolSync Dashboard","description":"Provides a basic dashboard for VolSync (See Project https://github.com/backube/volsync).","readme":"Provides a general overview of VolSync replication status. If volumes are out of sync, it will be indicated.  Replication Duration gives an estimate of how long the sync jobs are running for that volume. \r\n\r\nRev 3 now uses role label to filter between source and destination instead of previous regex variable.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-18T14:58:51.000Z","updatedAt":"2024-08-02T20:45:35.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21356"},{"rel":"revisions","href":"/dashboards/21356/revisions"},{"rel":"revision","href":"/dashboards/21356/revisions/3"},{"rel":"download","href":"/dashboards/21356/revisions/3/download"},{"rel":"org","href":"/orgs/reefland"},{"rel":"images","href":"/dashboards/21356/images"},{"rel":"thumbnails","href":"/dashboards/21356/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22199,"status":1,"statusCode":"active","orgId":1262201,"orgSlug":"attestant","orgName":"attestant","slug":"vouch-attestant","downloads":608,"revisionId":34866,"revision":1,"name":"Vouch Attestant","description":"A dashboard for monitoring vouch instances. ","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-10-31T14:22:48.000Z","updatedAt":"2024-11-19T10:16:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22199"},{"rel":"revisions","href":"/dashboards/22199/revisions"},{"rel":"revision","href":"/dashboards/22199/revisions/1"},{"rel":"download","href":"/dashboards/22199/revisions/1/download"},{"rel":"org","href":"/orgs/attestant"},{"rel":"images","href":"/dashboards/22199/images"},{"rel":"thumbnails","href":"/dashboards/22199/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":89,"status":1,"statusCode":"active","orgId":18791,"orgSlug":"org18791","orgName":"voxter-old","slug":"voxter-dashboard","downloads":760,"revisionId":110,"revision":1,"name":"Voxter Dashboard","description":"Dashboard for real-time view into account statistics, including online devices, concurrent calls, and overall network health information.","readme":"[Voxter](https://voxter.com) is a globally distributed Voice over IP platform otffering Hosted PBX, SIP Trunking, API Integrations, and Unified Communications features. Voxter’s technology leverages infrastructure, application and network data to make intelligent routing decisions in real time, ensuring optimal performance and reliability.\r\n\r\nThe Voxter Grafana App gives you a real-time view into your account statistics, including online devices, concurrent calls, and overall network health information.  It even provides data for resellers, including per-client information in a convenient drop-down menu.\r\n\r\n## Requirements\r\nThe Voxter app requires a Grafana.net account, [Grafana 3.0](https://grafana.org) (or higher) and an API key from your [Voxter account](https://manage.voxter.com). There are no other external dependencies, accounts or configurations needed.\r\n\r\n## Features\r\nGive your team a quick view into the activity on your VoIP Services and Voxter's infrastructure health. \r\n\r\n### Supported metrics\r\n- Devices online (as a total, summed metric of all accounts in your control)\r\n- Devices online per account (if you have more than one)\r\n- Active Calls (as a total, summed metric)\r\n- Active Calls per account (if you have more than one)\r\n- POP Health\r\n\r\n## Getting Help\r\n\r\n### Documentation\r\n- [Voxter](https://www.voxter.com/)\r\n- [Voxter Knowledge Base](http://support.voxter.com/)\r\n\r\n### Feedback and Questions\r\nWe would love to hear what you think of this app and if you have any feature requests for future versions. Pleaes submit any issues with the app on [Github](https://github.com/raintank/voxter-app/issues) or [contact us directly](https://voxter.com/contact).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2016-06-28T21:06:10.000Z","updatedAt":"2016-06-28T21:21:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/89"},{"rel":"revisions","href":"/dashboards/89/revisions"},{"rel":"revision","href":"/dashboards/89/revisions/1"},{"rel":"download","href":"/dashboards/89/revisions/1/download"},{"rel":"org","href":"/orgs/org18791"},{"rel":"images","href":"/dashboards/89/images"},{"rel":"thumbnails","href":"/dashboards/89/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":10667,"status":1,"statusCode":"active","orgId":221714,"orgSlug":"enetworks","orgName":"Admin enetworks","slug":"voxter-dashboard","downloads":300,"revisionId":14894,"revision":2,"name":"Voxter Dashboard","description":"Dashboard for real-time view into account statistics, including online devices, concurrent calls, and overall network health information.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Graphite","privacy":"public","createdAt":"2019-08-05T14:57:40.000Z","updatedAt":"2019-08-05T14:58:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10667"},{"rel":"revisions","href":"/dashboards/10667/revisions"},{"rel":"revision","href":"/dashboards/10667/revisions/2"},{"rel":"download","href":"/dashboards/10667/revisions/2/download"},{"rel":"org","href":"/orgs/enetworks"},{"rel":"images","href":"/dashboards/10667/images"},{"rel":"thumbnails","href":"/dashboards/10667/thumbnails"}],"datasourceSlugs":["graphite"]},{"id":14588,"status":1,"statusCode":"active","orgId":510752,"orgSlug":"sherifkayad","orgName":"sherifkayad","slug":"vpa-recommendations","downloads":464549,"revisionId":29473,"revision":5,"name":"VPA Recommendations","description":"A dashboard to visualize metrics about the Vertical Pod Autoscalar (https://github.com/kubernetes/autoscaler/tree/master/vertical-pod-autoscaler) using the generated Prometheus metrics of the Kube-State-Metrics (https://github.com/kubernetes/kube-state-metrics/blob/master/docs/verticalpodautoscaler-metrics.md)","readme":"# What's it all about?\r\nA dashboard to visualize metrics about the Vertical Pod Autoscalar (https://github.com/kubernetes/autoscaler/tree/master/vertical-pod-autoscaler) using the generated Prometheus metrics of the Kube-State-Metrics (https://github.com/kubernetes/kube-state-metrics/blob/master/docs/verticalpodautoscaler-metrics.md)\r\n\r\n# What do I need as a perquisite?\r\n- Prometheus installed => ultimately using the kube-prometheus stack (https://github.com/prometheus-community/helm-charts/tree/main/charts/kube-prometheus-stack)\r\n- VPA Installed and at least one `VerticalPodAutoscalar` CRD is configured against a certain target (check the documentation of the VPA for more info)\r\n- Optionally: VPA is using Prometheus as a historical query backend to monitor changes over time. \r\n- The kube-state-metrics MUST be configured to enable Vertical Pod Autoscalar metrics. Example for the Helm Chart above:\r\n```yaml\r\nkube-state-metrics:\r\n  rbac:\r\n    extraRules:\r\n      - apiGroups: [\"autoscaling.k8s.io\"]\r\n        resources: [\"verticalpodautoscalers\"]\r\n        verbs: [\"list\", \"watch\"]\r\n  prometheus:\r\n    monitor:\r\n      enabled: true\r\n  # https://github.com/kubernetes/kube-state-metrics/blob/main/docs/customresourcestate-metrics.md#verticalpodautoscaler\r\n  # https://github.com/kubernetes/kube-state-metrics/issues/2041#issuecomment-1614327806\r\n  customResourceState:\r\n    enabled: true\r\n    config:\r\n      kind: CustomResourceStateMetrics\r\n      spec:\r\n        resources:\r\n          - groupVersionKind:\r\n              group: autoscaling.k8s.io\r\n              kind: \"VerticalPodAutoscaler\"\r\n              version: \"v1\"\r\n            labelsFromPath:\r\n              verticalpodautoscaler: [metadata, name]\r\n              namespace: [metadata, namespace]\r\n              target_api_version: [apiVersion]\r\n              target_kind: [spec, targetRef, kind]\r\n              target_name: [spec, targetRef, name]\r\n            metrics:\r\n              - name: \"vpa_containerrecommendations_target\"\r\n                help: \"VPA container recommendations for memory.\"\r\n                each:\r\n                  type: Gauge\r\n                  gauge:\r\n                    path: [status, recommendation, containerRecommendations]\r\n                    valueFrom: [target, memory]\r\n                    labelsFromPath:\r\n                      container: [containerName]\r\n                commonLabels:\r\n                  resource: \"memory\"\r\n                  unit: \"byte\"\r\n              - name: \"vpa_containerrecommendations_target\"\r\n                help: \"VPA container recommendations for cpu.\"\r\n                each:\r\n                  type: Gauge\r\n                  gauge:\r\n                    path: [status, recommendation, containerRecommendations]\r\n                    valueFrom: [target, cpu]\r\n                    labelsFromPath:\r\n                      container: [containerName]\r\n                commonLabels:\r\n                  resource: \"cpu\"\r\n                  unit: \"core\"\r\n  selfMonitor:\r\n    enabled: true\r\n```\r\n\r\n# My installation & configurations for the VPA\r\nI am using the Helm chart at https://github.com/FairwindsOps/charts/tree/master/stable/vpa for the installing the VPA. There are other ways to do so. Just thought of sharing my `values.yml` for customizing this chart as the Prometheus part wasn't that trivial. You can check my GitHub Gist here [https://gist.github.com/sherifkayad/1b4e4df408e1be357168a38e1980b9a5](https://gist.github.com/sherifkayad/1b4e4df408e1be357168a38e1980b9a5)\r\n\r\n# What's New\r\n- Revision 5 => (Bug fix for Revision 4 + New feature) support for Kube State Metrics v2.9.x (the deprecation of the OOTB metrics of VPA)\r\n  - https://github.com/kubernetes/kube-state-metrics/blob/main/docs/customresourcestate-metrics.md#verticalpodautoscaler\r\n  - https://github.com/kubernetes/kube-state-metrics/issues/2041#issuecomment-1614327806\r\n- Revision 3 => (New feature) added support for dynamic datasource and for multi-cluster setups (cluster label)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-06-15T09:07:45.000Z","updatedAt":"2023-10-31T16:20:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14588"},{"rel":"revisions","href":"/dashboards/14588/revisions"},{"rel":"revision","href":"/dashboards/14588/revisions/5"},{"rel":"download","href":"/dashboards/14588/revisions/5/download"},{"rel":"org","href":"/orgs/sherifkayad"},{"rel":"images","href":"/dashboards/14588/images"},{"rel":"thumbnails","href":"/dashboards/14588/thumbnails"}]},{"id":14568,"status":1,"statusCode":"active","orgId":508358,"orgSlug":"kostavro","orgName":"kostavro","slug":"vpa-recommendations","downloads":1725,"revisionId":21601,"revision":2,"name":"VPA Recommendations","description":"A dashboard for Vertical Pod Autoscaler metrics.","readme":"Dashboard for [Kubernetes Vertical Pod Autoscaler](https://github.com/kubernetes/autoscaler/tree/master/vertical-pod-autoscaler).\r\n\r\nUses Prometheus datasource to get VPA metrics (`lowerBound`, `upperBound`, `target`, `minAllowed`, `maxAllowed`, `update_mode`) and average pod resources usage (cpu, memory).\r\n\r\nAlso uses Elasticsearch datasource to show `Eviction` and `too few replicas` events.\r\n\r\nRemember: Enable `verticalpodautoscalers` collector on `kube-state-metrics` (described [here](https://github.com/kubernetes/kube-state-metrics/blob/master/docs/verticalpodautoscaler-metrics.md#Configuration)).\r\n\r\nCredits: Based on vpa-dashboard from [gardener](https://github.com/gardener/gardener).\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus, Elasticsearch","privacy":"public","createdAt":"2021-06-11T07:00:55.000Z","updatedAt":"2021-06-16T05:57:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14568"},{"rel":"revisions","href":"/dashboards/14568/revisions"},{"rel":"revision","href":"/dashboards/14568/revisions/2"},{"rel":"download","href":"/dashboards/14568/revisions/2/download"},{"rel":"org","href":"/orgs/kostavro"},{"rel":"images","href":"/dashboards/14568/images"},{"rel":"thumbnails","href":"/dashboards/14568/thumbnails"}],"datasourceSlugs":["elasticsearch","prometheus"]},{"id":16294,"status":1,"statusCode":"active","orgId":455954,"orgSlug":"remesi","orgName":"remesi","slug":"vpa-recommendations","downloads":8046,"revisionId":31315,"revision":4,"name":"VPA Recommendations","description":"Vertical Pod Autoscalar Recommendations vs. Utilization vs. Requests & Limits","readme":"# Vertical Pod Autoscaler Recommendation\r\n\r\nDashboard to view Vertical Pod Autoscaler recommendations, scraping Prometheus metrics.\r\n\r\n## Prerequisites\r\n\r\nYou need to activate VPA, and exposed metrics from kube-state-metrics.\r\n\r\nSee https://gist.github.com/rverchere/780bd988b8f385a00644a1ec9f425be3 for kube-state-metrics configuration, as from v2.9.0 the VPA metrics were deprecated.\r\n\r\nRevision 4 does not have cluster annotation anymore.\r\n\r\n## Metrics configuration\r\n\r\nSee blog post here for more implementation details : [Medium Article](https://medium.com/linkbynet/request-limits-recommendations-using-vpa-goldilocks-and-grafana-2239b19bfd1)\r\n\r\n## Sources\r\n\r\nThis dashboard is based from [sherifkayad](https://grafana.com/grafana/dashboards/14588) one. \r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-05-18T12:30:35.000Z","updatedAt":"2024-01-16T20:25:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16294"},{"rel":"revisions","href":"/dashboards/16294/revisions"},{"rel":"revision","href":"/dashboards/16294/revisions/4"},{"rel":"download","href":"/dashboards/16294/revisions/4/download"},{"rel":"org","href":"/orgs/remesi"},{"rel":"images","href":"/dashboards/16294/images"},{"rel":"thumbnails","href":"/dashboards/16294/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23949,"status":1,"statusCode":"active","orgId":638729,"orgSlug":"onzack","orgName":"ONZACK","slug":"vpa-recommendations","downloads":1431,"revisionId":38162,"revision":2,"name":"VPA Recommendations","description":"A dashboard to visualize metrics about the Vertical Pod Autoscaler (https://github.com/kubernetes/autoscaler/tree/master/vertical-pod-autoscaler) using the generated Prometheus metrics of the Kube-State-Metrics (https://github.com/kubernetes/kube-state-metrics/blob/master/docs/verticalpodautoscaler-metrics.md)","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2025-08-22T11:07:28.000Z","updatedAt":"2025-08-22T13:46:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23949"},{"rel":"revisions","href":"/dashboards/23949/revisions"},{"rel":"revision","href":"/dashboards/23949/revisions/2"},{"rel":"download","href":"/dashboards/23949/revisions/2/download"},{"rel":"org","href":"/orgs/onzack"},{"rel":"images","href":"/dashboards/23949/images"},{"rel":"thumbnails","href":"/dashboards/23949/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":20315,"status":1,"statusCode":"active","orgId":750695,"orgSlug":"ipng","orgName":"ipng","slug":"vpp-performance-details","downloads":588,"revisionId":31316,"revision":1,"name":"VPP Performance Details","description":"Grafana dashboard for the VPP Prometheus Exporter that ships with VPP 24.02 and newer.","readme":"See a detailed writeup on [[IPng's website](https://ipng.ch/s/articles/2023/04/09/vpp-stats.html)].\r\n\r\nThis dashboard requires VPP 24.02 or later.\r\n\r\nThis is a public dashboard like the one described in the article, with cool features and drill downs like:\r\n- traffic per interface/sub-interface (packets/bits)\r\n- vectors/sec by node\r\n- clocks/vector by node\r\n- L2 and L3 traffic by type (eg. ethernet, arp, mpls, ip4, ip6)\r\n- cpu % spent per thread, by node\r\n\r\nRecommended exporter commandline:\r\n```\r\nvpp_prometheus_export v2 ^/sys/heartbeat ^/sys/last_stats_clear ^/sys/boottime ^/sys/vector_rate ^/sys/vector_rate_per_worker ^/sys/loops_per_worker ^/sys/num_worker_threads ^/sys/last_update ^/sys/input_rate ^/mem/ ^/nodes/ ^/interfaces/ ^/buffer-pools/\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-01-16T22:56:51.000Z","updatedAt":"2024-01-16T23:12:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20315"},{"rel":"revisions","href":"/dashboards/20315/revisions"},{"rel":"revision","href":"/dashboards/20315/revisions/1"},{"rel":"download","href":"/dashboards/20315/revisions/1/download"},{"rel":"org","href":"/orgs/ipng"},{"rel":"images","href":"/dashboards/20315/images"},{"rel":"thumbnails","href":"/dashboards/20315/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24533,"status":1,"statusCode":"active","orgId":1598596,"orgSlug":"madwind","orgName":"madwind","slug":"vps-renewal","downloads":34,"revisionId":39278,"revision":1,"name":"Vps Renewal","description":"Vps Renewal","readme":"Vps Renewal","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"netdev","datasource":"Prometheus, Infinity","privacy":"public","createdAt":"2025-12-09T09:11:01.000Z","updatedAt":"2025-12-10T07:01:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24533"},{"rel":"revisions","href":"/dashboards/24533/revisions"},{"rel":"revision","href":"/dashboards/24533/revisions/1"},{"rel":"download","href":"/dashboards/24533/revisions/1/download"},{"rel":"org","href":"/orgs/madwind"},{"rel":"images","href":"/dashboards/24533/images"},{"rel":"thumbnails","href":"/dashboards/24533/thumbnails"}],"datasourceSlugs":["prometheus","yesoreyeram-infinity-datasource"]},{"id":19428,"status":1,"statusCode":"active","orgId":244218,"orgSlug":"rhm","orgName":"Rudi Martinsen","slug":"vsan-capacity","downloads":612,"revisionId":29795,"revision":1,"name":"vSAN Capacity","description":"Dashboard with vSAN capacity data pulled from vCenter with Telegraf","readme":"This dashboard uses Telegraf version 1.27 or newer to pull vSAN metrics from a VMware vCenter server with the Telegraf vSphere input plugin. The Influx database used is on version 1.x\r\n\r\nThe dashboard presents vSAN capacity data found on a vSAN cluster in vCenter.\r\n\r\nNote that the Telegraf agent is configured with two vSphere input plugins. One for the \"summary\" data which is logged on 60 second intervals, and one for the \"performance\" data which is rolled up every 5 minutes.\r\n\r\nFor more information about configuring the vSphere plugin please refer to [the documentation](https://github.com/influxdata/telegraf/blob/master/plugins/inputs/vsphere/README.md)\r\n\r\n[Blog post](https://rudimartinsen.com/2023/11/17/grafana-vsan-monitoring/)","collectorType":"Telegraf","collectorConfig":"#We're using Telegraf version 1.27 or newer for pulling vSAN data from vCenter. The plugin is configured two times, one for the \"summary\" data which is pulled every 60s and one for the \"performance\" data which is rolled up every 5 minutes. Note that this config excludes the \"normal\" vSphere data. If you want to collect this data please change accordingly\r\n\r\n#performance instance\r\n\r\n[[inputs.vsphere]]\r\n\r\n  vcenters = [ \"https://vcenter-1.domain.local/sdk\", \"https://vcenter-1.domain.local/sdk\" ]\r\n\r\n  username = \"some-user@vsphere.local\"\r\n\r\n  password = \"some-password\"\r\n\r\n  vm_metric_exclude = [\"*\"]\r\n\r\n  host_metric_exclude = [\"*\"]\r\n\r\n  cluster_metric_exclude = [\"*\"]\r\n\r\n  resource_pool_metric_exclude = [\"*\"]\r\n\r\n  datastore_metric_exclude = [\"*\"]\r\n\r\n  datacenter_metric_exclude = [\"*\"]\r\n\r\n  vsan_metric_include = [\"summary.*\"]\r\n  \r\n  interval = \"60s\"\r\n\r\n#performance instance\r\n\r\n[[inputs.vsphere]]\r\n\r\n  vcenters = [ \"https://vcenter-1.domain.local/sdk\", \"https://vcenter-1.domain.local/sdk\" ]\r\n\r\n  username = \"some-user@vsphere.local\"\r\n\r\n  password = \"some-password\"\r\n\r\n  vm_metric_exclude = [\"*\"]\r\n\r\n  host_metric_exclude = [\"*\"]\r\n\r\n  cluster_metric_exclude = [\"*\"]\r\n\r\n  resource_pool_metric_exclude = [\"*\"]\r\n\r\n  datastore_metric_exclude = [\"*\"]\r\n\r\n  datacenter_metric_exclude = [\"*\"]\r\n\r\n  vsan_metric_include = [\"performance.*\"]\r\n  \r\n  interval = \"300s\"\r\n\r\n","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2023-08-28T21:07:56.000Z","updatedAt":"2023-12-23T14:43:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19428"},{"rel":"revisions","href":"/dashboards/19428/revisions"},{"rel":"revision","href":"/dashboards/19428/revisions/1"},{"rel":"download","href":"/dashboards/19428/revisions/1/download"},{"rel":"org","href":"/orgs/rhm"},{"rel":"images","href":"/dashboards/19428/images"},{"rel":"thumbnails","href":"/dashboards/19428/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19426,"status":1,"statusCode":"active","orgId":244218,"orgSlug":"rhm","orgName":"Rudi Martinsen","slug":"vsan-performance","downloads":797,"revisionId":29793,"revision":1,"name":"vSAN Performance","description":"Dashboard with vSAN performance data pulled from vCenter with Telegraf. The dashboard includes graphs with the same metrics as the built-in vSAN performance charts in vCenter ","readme":"This dashboard uses Telegraf version 1.27 or newer to pull vSAN metrics from a VMware vCenter server with the Telegraf vSphere input plugin. The Influx database used is on version 1.x\r\n\r\nThe dashboard resembles the built-in vSAN Performance dashboard found on a vSAN cluster in vCenter.\r\n\r\nNote that the Telegraf agent is configured with two vSphere input plugins. One for the \"summary\" data which is logged on 60 second intervals, and one for the \"performance\" data which is rolled up every 5 minutes.\r\n\r\nFor more information about configuring the vSphere plugin please refer to [the documentation](https://github.com/influxdata/telegraf/blob/master/plugins/inputs/vsphere/README.md)\r\n\r\n[Blog post](https://rudimartinsen.com/2023/11/17/grafana-vsan-monitoring/)","collectorType":"Telegraf","collectorConfig":"#We're using Telegraf version 1.27 or newer for pulling vSAN data from vCenter. The plugin is configured two times, one for the \"summary\" data which is pulled every 60s and one for the \"performance\" data which is rolled up every 5 minutes. Note that this config excludes the \"normal\" vSphere data. If you want to collect this data please change accordingly\r\n\r\n#performance instance\r\n\r\n[[inputs.vsphere]]\r\n\r\n  vcenters = [ \"https://vcenter-1.domain.local/sdk\", \"https://vcenter-1.domain.local/sdk\" ]\r\n\r\n  username = \"some-user@vsphere.local\"\r\n\r\n  password = \"some-password\"\r\n\r\n  vm_metric_exclude = [\"*\"]\r\n\r\n  host_metric_exclude = [\"*\"]\r\n\r\n  cluster_metric_exclude = [\"*\"]\r\n\r\n  resource_pool_metric_exclude = [\"*\"]\r\n\r\n  datastore_metric_exclude = [\"*\"]\r\n\r\n  datacenter_metric_exclude = [\"*\"]\r\n\r\n  vsan_metric_include = [\"summary.*\"]\r\n  \r\n  interval = \"60s\"\r\n\r\n#performance instance\r\n\r\n[[inputs.vsphere]]\r\n\r\n  vcenters = [ \"https://vcenter-1.domain.local/sdk\", \"https://vcenter-1.domain.local/sdk\" ]\r\n\r\n  username = \"some-user@vsphere.local\"\r\n\r\n  password = \"some-password\"\r\n\r\n  vm_metric_exclude = [\"*\"]\r\n\r\n  host_metric_exclude = [\"*\"]\r\n\r\n  cluster_metric_exclude = [\"*\"]\r\n\r\n  resource_pool_metric_exclude = [\"*\"]\r\n\r\n  datastore_metric_exclude = [\"*\"]\r\n\r\n  datacenter_metric_exclude = [\"*\"]\r\n\r\n  vsan_metric_include = [\"performance.*\"]\r\n  \r\n  interval = \"300s\"\r\n\r\n","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2023-08-28T19:39:17.000Z","updatedAt":"2023-12-23T14:44:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19426"},{"rel":"revisions","href":"/dashboards/19426/revisions"},{"rel":"revision","href":"/dashboards/19426/revisions/1"},{"rel":"download","href":"/dashboards/19426/revisions/1/download"},{"rel":"org","href":"/orgs/rhm"},{"rel":"images","href":"/dashboards/19426/images"},{"rel":"thumbnails","href":"/dashboards/19426/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":18169,"status":1,"statusCode":"active","orgId":547080,"orgSlug":"guicauladafree","orgName":"guicaulada","slug":"vscode-exporter","downloads":347,"revisionId":27908,"revision":1,"name":"VSCode Exporter","description":"Dashboard for VSCode Exporter metrics.","readme":"Basic dashboard to visualize metrics from the [VSCode Exporter](https://github.com/guicaulada/vscode-exporter).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-02-25T18:42:23.000Z","updatedAt":"2023-02-25T18:44:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18169"},{"rel":"revisions","href":"/dashboards/18169/revisions"},{"rel":"revision","href":"/dashboards/18169/revisions/1"},{"rel":"download","href":"/dashboards/18169/revisions/1/download"},{"rel":"org","href":"/orgs/guicauladafree"},{"rel":"images","href":"/dashboards/18169/images"},{"rel":"thumbnails","href":"/dashboards/18169/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12112,"status":1,"statusCode":"active","orgId":373846,"orgSlug":"kckecheng","orgName":"KC Kecheng","slug":"vsphere-telegraf","downloads":642,"revisionId":17246,"revision":1,"name":"vSphere","description":"A vSphere dashboard based on Prometheus and Telegraf(vSphere input+Prometheu output).","readme":"Collect metrics for below vSphere objects:\n\n- ESXi\n- VM\n- Datastore","collectorType":"Telegraf","collectorConfig":"```\n[agent]\n  round_interval = true\n  metric_batch_size = 1000\n  metric_buffer_limit = 10000\n  collection_jitter = \"0s\"\n  flush_interval = \"10s\"\n  flush_jitter = \"0s\"\n  precision = \"\"\n\n[[outputs.prometheus_client]]\n  listen = \":9080\"\n  metric_version = 2\n\n[[inputs.vsphere]]\n  interval = \"30s\"\n\n  vcenters = [ \"https://192.168.10.10/sdk\" ]\n  username = \"administrator@vsphere.local\"\n  password = \"password\"\n\n  vm_metric_include = [\n    \"cpu.usage.average\",\n    \"cpu.latency.average\",\n    \"cpu.readiness.average\",\n    \"cpu.wait.summation\",\n    \"mem.usage.average\",\n    \"mem.swapinRate.average\",\n    \"mem.swapoutRate.average\",\n    \"net.bytesRx.average\",\n    \"net.bytesTx.average\",\n    \"net.droppedRx.summation\",\n    \"net.droppedTx.summation\",\n    \"net.packetsRx.summation\",\n    \"net.packetsTx.summation\",\n    \"virtualDisk.readOIO.latest\",\n    \"virtualDisk.writeOIO.latest\",\n    \"virtualDisk.read.average\",\n    \"virtualDisk.write.average\",\n    \"virtualDisk.numberReadAveraged.average\",\n    \"virtualDisk.numberWriteAveraged.average\",\n    \"virtualDisk.totalReadLatency.average\",\n    \"virtualDisk.totalWriteLatency.average\",\n    \"disk.read.average\",\n    \"disk.write.average\",\n    \"disk.commandsAveraged.average\",\n    \"disk.commandsAborted.summation\",\n    \"disk.numberReadAveraged.average\",\n    \"disk.numberWriteAveraged.average\",\n    \"disk.maxTotalLatency.latest\",\n    \"datastore.read.average\",\n    \"datastore.write.average\",\n    \"datastore.totalReadLatency.average\",\n    \"datastore.totalWriteLatency.average\",\n    \"datastore.numberReadAveraged.average\",\n    \"datastore.numberWriteAveraged.average\",\n  ]\n\n  host_metric_include = [\n    \"cpu.utilization.average\",\n    \"cpu.usage.average\",\n    \"cpu.latency.average\",\n    \"cpu.readiness.average\",\n    \"cpu.wait.summation\",\n    \"mem.usage.average\",\n    \"mem.swapinRate.average\",\n    \"mem.swapoutRate.average\",\n    \"net.bytesRx.average\",\n    \"net.bytesTx.average\",\n    \"net.packetsRx.summation\",\n    \"net.packetsTx.summation\",\n    \"net.droppedRx.summation\",\n    \"net.droppedTx.summation\",\n    \"net.errorsRx.summation\",\n    \"net.errorsTx.summation\",\n    \"disk.read.average\",\n    \"disk.write.average\",\n    \"disk.numberReadAveraged.average\",\n    \"disk.numberWriteAveraged.average\",\n    \"disk.totalReadLatency.average\",\n    \"disk.totalWriteLatency.average\",\n    \"disk.commandsAveraged.average\",\n    \"disk.commandsAborted.summation\",\n    \"disk.maxTotalLatency.latest\",\n    \"storageAdapter.read.average\",\n    \"storageAdapter.write.average\",\n    \"storageAdapter.numberReadAveraged.average\",\n    \"storageAdapter.numberWriteAveraged.average\",\n    \"storageAdapter.totalReadLatency.average\",\n    \"storageAdapter.totalWriteLatency.average\",\n    \"storageAdapter.queued.average\",\n    \"datastore.commandsAborted.summation\",\n    \"datastore.read.average\",\n    \"datastore.write.average\",\n    \"datastore.totalReadLatency.average\",\n    \"datastore.totalWriteLatency.average\",\n    \"datastore.numberReadAveraged.average\",\n    \"datastore.numberWriteAveraged.average\",\n  ]\n\n\n  # datastore_metric_exclude = [ \"*\" ]\n  cluster_metric_exclude = [ \"*\" ]\n  datacenter_metric_exclude = [ \"*\" ]\n\n  force_discover_on_init = true\n  insecure_skip_verify = true\n```","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-04-22T03:06:19.000Z","updatedAt":"2020-04-22T03:34:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12112"},{"rel":"revisions","href":"/dashboards/12112/revisions"},{"rel":"revision","href":"/dashboards/12112/revisions/1"},{"rel":"download","href":"/dashboards/12112/revisions/1/download"},{"rel":"org","href":"/orgs/kckecheng"},{"rel":"images","href":"/dashboards/12112/images"},{"rel":"thumbnails","href":"/dashboards/12112/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12879,"status":1,"statusCode":"active","orgId":244218,"orgSlug":"rhm","orgName":"Rudi Martinsen","slug":"vsphere-datastore-utilization","downloads":697,"revisionId":18617,"revision":1,"name":"vSphere - Datastore utilization","description":"Dashboard for Datastore metrics in a VMware vSphere environments","readme":"This dashboard gives an overview of the utilization on VMware vSphere datastores. Data is pulled from vCenter with the vSphere plugin of the Telegraf agent. The data is stored in an InfluxDB timeseries database.\n\nThe dashboard shows the current free space in percentage for all datastores, and a trend of the utilization for a configurable time range.\n\n*Note that the variable query for InfluxDB can return stale tags if retention is not set up on your database. See [this post](https://rudimartinsen.com/2020/08/07/vsphere-performance-telegraf-influxdb-and-grafana7-part5-dashboard-variables/#influx-tags-variable) for more information*\n\nSee also my other dashboards:\n- [vSphere - Overview (id 12786)](https://grafana.com/grafana/dashboards/12786)\n- [vSphere - Host details (id 12852)](https://grafana.com/grafana/dashboards/12852)\n- [vSphere - VM details (id 12874)](https://grafana.com/grafana/dashboards/12874)\n","collectorType":"Telegraf","collectorConfig":"The metrics are pulled from vSphere by the Telegraf agent and stored in a InfluxDB timeseries database.\n\nSee the config description of my [vSphere Overview dashboard (id 12786)](https://grafana.com/grafana/dashboards/12786) or my [blog post](https://rudimartinsen.com/2020/08/06/vsphere-performance-telegraf-and-grafana7-part2-configuring-telegraf/)  for more info","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2020-08-23T07:40:52.000Z","updatedAt":"2020-08-23T07:46:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/12879"},{"rel":"revisions","href":"/dashboards/12879/revisions"},{"rel":"revision","href":"/dashboards/12879/revisions/1"},{"rel":"download","href":"/dashboards/12879/revisions/1/download"},{"rel":"org","href":"/orgs/rhm"},{"rel":"images","href":"/dashboards/12879/images"},{"rel":"thumbnails","href":"/dashboards/12879/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12852,"status":1,"statusCode":"active","orgId":244218,"orgSlug":"rhm","orgName":"Rudi Martinsen","slug":"vsphere-host-details","downloads":1213,"revisionId":18595,"revision":3,"name":"vSphere - Host details","description":"Dashboard for ESXi host metrics in a VMware vSphere environment","readme":"This dashboard gives details of VMware vSphere ESXi hosts. Data is pulled from vCenter with the vSphere plugin of the Telegraf agent. The data is stored in an InfluxDB timeseries database.\n\nThe dashboard can show one or more hosts in a cluster\n\nSee also my other dashboards:\n- [vSphere - Overview (id 12786)](https://grafana.com/grafana/dashboards/12786)\n- [vSphere - VM details (id 12874)](https://grafana.com/grafana/dashboards/12874)\n- [vSphere - Datastore Utilization (id 12879)](https://grafana.com/grafana/dashboards/12879)","collectorType":"Telegraf","collectorConfig":"The metrics are pulled from vSphere by the Telegraf agent and stored in a InfluxDB timeseries database.\n\nSee the config description of my [vSphere Overview dashboard (id 12786)](https://grafana.com/grafana/dashboards/12786) or my [blog post](https://rudimartinsen.com/2020/08/06/vsphere-performance-telegraf-and-grafana7-part2-configuring-telegraf/)  for more info","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2020-08-19T08:06:22.000Z","updatedAt":"2020-08-23T07:47:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12852"},{"rel":"revisions","href":"/dashboards/12852/revisions"},{"rel":"revision","href":"/dashboards/12852/revisions/3"},{"rel":"download","href":"/dashboards/12852/revisions/3/download"},{"rel":"org","href":"/orgs/rhm"},{"rel":"images","href":"/dashboards/12852/images"},{"rel":"thumbnails","href":"/dashboards/12852/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12786,"status":1,"statusCode":"active","orgId":244218,"orgSlug":"rhm","orgName":"Rudi Martinsen","slug":"vsphere-overview","downloads":1345,"revisionId":18622,"revision":5,"name":"vSphere - Overview","description":"Small overview dashboard for VMware vSphere environments","readme":"This dashboard gives a quick overview of a VMware vSphere environment and the cluster utilization. Data is pulled from vCenter with the vSphere plugin of the Telegraf agent. The data is stored in an InfluxDB timeseries database.\n\nThe overview dashboard can link to more detailed dashboards for Hosts, VMs, Datastores etc. \nSee also my other dashboards:\n- [vSphere - Host details (id 12852)](https://grafana.com/grafana/dashboards/12852)\n- [vSphere - VM details (id 12874)](https://grafana.com/grafana/dashboards/12874)\n- [vSphere - Datastore Utilization (id 12879)](https://grafana.com/grafana/dashboards/12879)","collectorType":"Telegraf","collectorConfig":"For a small lab environment the default configuration of InfluxDB and Telegraf should work fine. Only add the address and credentials of your VMware vCenter.\n\nFor larger environments the best practice is to split the Telegraf vSphere plugin in two instances, one for realtime metrics from Hosts and VMs, and a Historical instance for Datastores, Clusters and Datacenters.\n\nThe collection interval can be configured through the _interval_ parameter\n\nAn example configuration of the plugin fetched from the [Telegraf documentation](https://github.com/influxdata/telegraf/tree/release-1.15/plugins/inputs/vsphere):\n\n```\n## Realtime instance\n[[inputs.vsphere]]\n  interval = \"60s\"\n  vcenters = [ \"https://someaddress/sdk\" ]\n  username = \"someuser@vsphere.local\"\n  password = \"secret\"\n\n  insecure_skip_verify = true\n  force_discover_on_init = true\n\n  # Exclude all historical metrics\n  datastore_metric_exclude = [\"*\"]\n  cluster_metric_exclude = [\"*\"]\n  datacenter_metric_exclude = [\"*\"]\n\n  collect_concurrency = 5\n  discover_concurrency = 5\n\n# Historical instance\n[[inputs.vsphere]]\n\n  interval = \"300s\"\n\n  vcenters = [ \"https://someaddress/sdk\" ]\n  username = \"someuser@vsphere.local\"\n  password = \"secret\"\n\n  insecure_skip_verify = true\n  force_discover_on_init = true\n  host_metric_exclude = [\"*\"] # Exclude realtime metrics\n  vm_metric_exclude = [\"*\"] # Exclude realtime metrics\n\n  max_query_metrics = 256\n  collect_concurrency = 3\n```\n\nSee also my [blog post](https://rudimartinsen.com/2020/08/06/vsphere-performance-telegraf-and-grafana7-part2-configuring-telegraf/) on this topic","collectorPluginList":"Other, influxdb","datasource":"InfluxDB","privacy":"public","createdAt":"2020-08-06T07:55:53.000Z","updatedAt":"2020-08-24T09:55:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/12786"},{"rel":"revisions","href":"/dashboards/12786/revisions"},{"rel":"revision","href":"/dashboards/12786/revisions/5"},{"rel":"download","href":"/dashboards/12786/revisions/5/download"},{"rel":"org","href":"/orgs/rhm"},{"rel":"images","href":"/dashboards/12786/images"},{"rel":"thumbnails","href":"/dashboards/12786/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":12874,"status":1,"statusCode":"active","orgId":244218,"orgSlug":"rhm","orgName":"Rudi Martinsen","slug":"vsphere-vm-details","downloads":1032,"revisionId":18594,"revision":1,"name":"vSphere - VM details","description":"Dashboard for VM metrics in a VMware vSphere environments","readme":"This dashboard gives details of VMware vSphere virtual machines. 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Support","slug":"firewall-routers-node-exporter-full-custom","downloads":736,"revisionId":14518,"revision":1,"name":"Vyos Node Exporter Full - Custom","description":"This dashboard is a custom version of the Node Exporter Full dashboard for Vyos ","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-06-19T21:42:31.000Z","updatedAt":"2019-06-19T21:51:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10383"},{"rel":"revisions","href":"/dashboards/10383/revisions"},{"rel":"revision","href":"/dashboards/10383/revisions/1"},{"rel":"download","href":"/dashboards/10383/revisions/1/download"},{"rel":"org","href":"/orgs/itsupport0grafana"},{"rel":"images","href":"/dashboards/10383/images"},{"rel":"thumbnails","href":"/dashboards/10383/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12564,"status":1,"statusCode":"active","orgId":397041,"orgSlug":"seajayb","orgName":"seajayb","slug":"vyos-routers-interface-utilisation","downloads":498,"revisionId":18059,"revision":1,"name":"VYOS Routers interface utilisation","description":"This dashboard graphs the input and output packets on VYOS router interfaces eth0 and eth1","readme":"","collectorType":"Telegraf","collectorConfig":"The following is the telegraf configuration in /etc/telegraf/telegraf.d/monitor-vyos-snmp.conf\n\n\n[[inputs.snmp]]\n    agents = [ \"<host1-ip>:161\" ]\n    version = 2\n    community = \"public\"\n    name = \"snmp\"\n    [[inputs.snmp.field]]\n        name = \"hostname\"\n        oid = \"SNMPv2-MIB::sysName.0\"\n        is_tag = true\n    [[inputs.snmp.table]]\n        name = \"snmp\"\n        inherit_tags = [ \"hostname\" ]\n        oid = \"IF-MIB::ifXTable\"\n    [[inputs.snmp.table.field]]\n        name = \"ifName\"\n        oid = \"IF-MIB::ifName.2\"\n        is_tag = true\n\t  \n[[inputs.snmp]]\n\tagents = [ \"<host2-ip>:161\" ]\n\tversion = 2\n\tcommunity = \"public\"\n\tname = \"snmp\"\n    [[inputs.snmp.field]]\n        name = \"hostname\"\n        oid = \"SNMPv2-MIB::sysName.0\"\n        is_tag = true\n    [[inputs.snmp.table]]\n        name = \"snmp\"\n        inherit_tags = [ \"hostname\" ]\n        oid = \"IF-MIB::ifXTable\"\n    [[inputs.snmp.table.field]]\n        name = \"ifName\"\n        oid = \"IF-MIB::ifName.2\"\n        is_tag = true\n","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-07-01T22:32:39.000Z","updatedAt":"2020-07-01T23:40:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12564"},{"rel":"revisions","href":"/dashboards/12564/revisions"},{"rel":"revision","href":"/dashboards/12564/revisions/1"},{"rel":"download","href":"/dashboards/12564/revisions/1/download"},{"rel":"org","href":"/orgs/seajayb"},{"rel":"images","href":"/dashboards/12564/images"},{"rel":"thumbnails","href":"/dashboards/12564/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":14693,"status":1,"statusCode":"active","orgId":511703,"orgSlug":"pasqualepeluso","orgName":"pasqualepeluso","slug":"wa-pvt-all-envs","downloads":488,"revisionId":37589,"revision":4,"name":"WA-PVT all envs","description":"Visualize Workload Automation metrics","readme":"# IBM Workload Automation Performance Dashboard\r\n## Overview\r\n-----\r\nIBM Workload Automation uses Grafana to display performance data related to the product. This data includes metrics related to the server and console application servers (WebSphere Application Server Liberty Base), your workload, your workstations, critical jobs, message queues, the database connection status, and more. Metrics provide insight into the state, health, and performance of your deployments and infrastructure. IBM Workload Automation cloud metric monitoring uses an opensource Cloud Native Computing Foundation (CNCF) project called Prometheus. It is particularly useful for collecting time series data that can be easily queried.\r\n\r\n## Metrics \r\n---\r\n\r\n| Metric  | Description |\r\n| ------------- | ------------- |\r\n| Workload  | Jobs by status, Jobs by workstation, Jobs by folder and the Workload throughput by jobs/minutes |\r\n| Critical Jobs | Incomplete predecessors, critical jobs, risk level for potential and high risks, estimated end and confidential factor  |\r\n| WA Server Internal Message Queue | Internal message queue usage for Appserverbox.msg, Courier.msg, mirrorbox.msg, Mailbox.msg, Monbox.msgn, Moncmd.msg, auditbox.msg, clbox.msg, planbox.msg, Intercom.msg, pobox messages, and server.msg |\r\n| Workstation Status | The number of running workstations and linked workstations |\r\n| Database Connection Status | The connection to the database status |\r\n| WA Server and Console - Liberty | Heap usage percentage, Active sessions, Live sessions, Active threads, Threadpool size and Time per garbage collection cycle moving average  |\r\n| WA Sever and Console - Connection Pools (Liberty) | Average time usage per connection over last, Managed connections, Free connection, Connection handles and Created and Destroyed connections|\r\n---\r\n### Workload\r\n![](https://grafana.com/api/dashboards/14592/images/10628/image)\r\n![](https://grafana.com/api/dashboards/14592/images/10629/image)\r\n### Internal Message Queues\r\n![](https://grafana.com/api/dashboards/14592/images/10627/image)\r\n### Workstation Status \r\n![](https://grafana.com/api/dashboards/14592/images/10630/image)\r\n### Liberty \r\n![](https://grafana.com/api/dashboards/14592/images/10625/image)\r\n![](https://grafana.com/api/dashboards/14592/images/10626/image)\r\n\r\n---\r\n\r\n- Critical Jobs metric\r\n- Workstation status metric\r\n- Database connection status metric\r\n- Job, Job stream, and Workstation Filters\r\n\r\n---\r\n**This Dashboard is licensed under [Apache 2.0 license](https://www.apache.org/licenses/LICENSE-2.0).**","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-07-07T10:18:54.000Z","updatedAt":"2025-06-26T15:06:02.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14693"},{"rel":"revisions","href":"/dashboards/14693/revisions"},{"rel":"revision","href":"/dashboards/14693/revisions/4"},{"rel":"download","href":"/dashboards/14693/revisions/4/download"},{"rel":"org","href":"/orgs/pasqualepeluso"},{"rel":"images","href":"/dashboards/14693/images"},{"rel":"thumbnails","href":"/dashboards/14693/thumbnails"}]},{"id":14692,"status":1,"statusCode":"active","orgId":511703,"orgSlug":"pasqualepeluso","orgName":"pasqualepeluso","slug":"wa-pvt-all-envs","downloads":391,"revisionId":37591,"revision":4,"name":"WA-PVT all envs","description":"Visualize Workload Automation metrics","readme":"# HCL Workload Automation Performance Dashboard\r\n## Overview\r\n-----\r\nHCL Workload Automation uses Grafana to display performance data related to the product. 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The required data is exported directly from Web3Signer to a Prometheus data store. See the documentation on how to configure Web3Signer and Prometheus.\r\n\r\nThe dashboard provides information on how well Web3Signer is signing Eth2 requests, slashing protection statistics,  Teku is to the network, current, justified and finalized slot and epoch information, along with CPU and memory usage 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exporter and Grafana.\r\n\r\n* HTTP status code\r\n* HTTP redirects\r\n* HTTP version\r\n* TLS version\r\n* Certificate validity\r\n* ICMP\r\n* DNS lookup time\r\n* Availability over the last 24 hours, 3 days and 7 days\r\n* Probe duration and status code history\r\n\r\nImport the dashboard and use your Prometheus datasource and set the right blackbox http and icmp jobs name. Icmp is optional.\r\n\r\nIf you don't have Prometheus or Prometheus blackbox exporter up and running you can use my [docker-compose](https://github.com/mbelloiseau/website-monitoring) setup.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-09-20T07:45:08.000Z","updatedAt":"2021-03-19T08:12:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":3,"reviewsAvgRating":3.67,"links":[{"rel":"self","href":"/dashboards/13041"},{"rel":"revisions","href":"/dashboards/13041/revisions"},{"rel":"revision","href":"/dashboards/13041/revisions/4"},{"rel":"download","href":"/dashboards/13041/revisions/4/download"},{"rel":"org","href":"/orgs/mbelloiseau"},{"rel":"images","href":"/dashboards/13041/images"},{"rel":"thumbnails","href":"/dashboards/13041/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14751,"status":1,"statusCode":"active","orgId":518686,"orgSlug":"muhammadirsalyunus","orgName":"muhammadirsalyunus","slug":"website-monitoring","downloads":557,"revisionId":21925,"revision":1,"name":"Website monitoring","description":"monitoring 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monitoring","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-05-23T07:45:25.000Z","updatedAt":"2023-05-23T07:45:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18809"},{"rel":"revisions","href":"/dashboards/18809/revisions"},{"rel":"revision","href":"/dashboards/18809/revisions/1"},{"rel":"download","href":"/dashboards/18809/revisions/1/download"},{"rel":"org","href":"/orgs/empreinteseo"},{"rel":"images","href":"/dashboards/18809/images"},{"rel":"thumbnails","href":"/dashboards/18809/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23280,"status":1,"statusCode":"active","orgId":1328078,"orgSlug":"yyovkov","orgName":"yyovkov","slug":"website-monitoring","downloads":263,"revisionId":36916,"revision":1,"name":"Website Monitoring","description":"Monitor WebSite availability, SSL Certificate validity, ICMP availability","readme":"# Prometheus setup\r\nPrometheus should have two jobs setup against the same target in order this dashboard to work correctly:\r\n\r\n``` yaml\r\n  - job_name: webservers\r\n    file_sd_configs:\r\n    - files:\r\n      - /etc/prometheus/file_sd/webservers.yml\r\n    metrics_path: /probe\r\n    params:\r\n      module:\r\n      - http_2xx\r\n    relabel_configs:\r\n    - source_labels:\r\n      - __address__\r\n      target_label: __param_target\r\n    - source_labels:\r\n      - __param_target\r\n      target_label: instance\r\n    - target_label: __address__\r\n      replacement: blackbox.explorter.net:9115\r\n  - job_name: icmp\r\n    file_sd_configs:\r\n    - files:\r\n      - /etc/prometheus/file_sd/webservers.yml\r\n    metrics_path: /probe\r\n    params:\r\n      module:\r\n      - icmp\r\n    relabel_configs:\r\n    - source_labels:\r\n      - __address__\r\n      target_label: __param_target\r\n    - source_labels:\r\n      - __param_target\r\n      target_label: instance\r\n    - target_label: __address__\r\n      replacement: blackbox.explorter.net:9115\r\n```\r\n\r\nExample `/etc/prometheus/file_sd/webservers.yml`:\r\n\r\n``` yaml\r\n- targets:\r\n  - one.host.com\r\n  - two.host.com\r\n  - three.host.com\r\n  labels:\r\n    service: web\r\n    env: prod\r\n    dc: new_york\r\n```\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-18T11:39:47.000Z","updatedAt":"2025-04-18T11:40:14.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23280"},{"rel":"revisions","href":"/dashboards/23280/revisions"},{"rel":"revision","href":"/dashboards/23280/revisions/1"},{"rel":"download","href":"/dashboards/23280/revisions/1/download"},{"rel":"org","href":"/orgs/yyovkov"},{"rel":"images","href":"/dashboards/23280/images"},{"rel":"thumbnails","href":"/dashboards/23280/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21037,"status":1,"statusCode":"active","orgId":1118048,"orgSlug":"pavankumarn5763","orgName":"pavankumarn5763","slug":"website-monitoring","downloads":274,"revisionId":32682,"revision":1,"name":"Website monitoring","description":"Testing Dashboard-3","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-05-07T11:45:05.000Z","updatedAt":"2024-05-07T11:45:18.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21037"},{"rel":"revisions","href":"/dashboards/21037/revisions"},{"rel":"revision","href":"/dashboards/21037/revisions/1"},{"rel":"download","href":"/dashboards/21037/revisions/1/download"},{"rel":"org","href":"/orgs/pavankumarn5763"},{"rel":"images","href":"/dashboards/21037/images"},{"rel":"thumbnails","href":"/dashboards/21037/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21934,"status":1,"statusCode":"active","orgId":1226113,"orgSlug":"pranjaltripathi1","orgName":"pranjaltripathi1","slug":"website-monitoring-reports","downloads":932,"revisionId":36003,"revision":3,"name":"Website Monitoring Reports","description":"","readme":"Overview:\r\nThis Grafana dashboard is designed to monitor the performance and availability of various websites, providing insights into their uptime, response times, and SSL certificate expiration dates. The dashboard is useful for web administrators, DevOps teams, and anyone interested in the health and performance of these websites.\r\n\r\nKey Components:\r\n\r\n1. Website Response Time\r\n\r\nThis section displays the mean, minimum, and maximum response times for each listed website. The data helps in understanding the performance of each website over time.\r\n\r\n2. Website Uptime and SSL Expiry Overview -\r\n\r\nThis section provides an overview of the uptime percentage and SSL certificate expiration dates for each website.\r\n\r\nUptime Percentages: Each website's uptime percentage is displayed, along with the number of days until the SSL certificate expires.\r\n\r\nOverall Uptime and Availability: The dashboard also shows the overall uptime and availability of all monitored websites.\r\n\r\n3. Overall Metrics\r\n\r\nOverall Average Response Time: The average response time for all monitored websites is calculated and displayed.\r\n\r\nOverall Uptime: The aggregate uptime percentage of all websites is shown.\r\n\r\nThis dashboard is particularly useful for:\r\n\r\n-Monitoring Website Performance: It helps in identifying slow or unresponsive websites and trending performance over time.\r\n\r\n-Ensuring Uptime: The dashboard ensures that websites are up and running, providing critical insights into their availability.\r\n\r\n-SSL Certificate Management: It alerts administrators to upcoming SSL certificate expirations, preventing potential security issues.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-09-19T14:24:44.000Z","updatedAt":"2025-02-06T02:24:16.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21934"},{"rel":"revisions","href":"/dashboards/21934/revisions"},{"rel":"revision","href":"/dashboards/21934/revisions/3"},{"rel":"download","href":"/dashboards/21934/revisions/3/download"},{"rel":"org","href":"/orgs/pranjaltripathi1"},{"rel":"images","href":"/dashboards/21934/images"},{"rel":"thumbnails","href":"/dashboards/21934/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9775,"status":1,"statusCode":"active","orgId":107170,"orgSlug":"indigo423","orgName":"opennms-community","slug":"website-response-times","downloads":1664,"revisionId":13602,"revision":2,"name":"Website Response Times","description":"Sample report using a Heatmap visualizing response times from web sites using OpenNMS.","readme":"This is a sample report which shows how to monitor website response times using a Heatmap. It is required to configure the website monitoring described in the article [Monitoring Websites with OpenNMS](https://blog.no42.org/code/monitoring-websites-with-opennms/).\r\n\r\nThe dashboard is version controlled in [GitHub](https://github.com/opennms-forge/grafana-dashboards).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"opennms-helm-performance-datasource","privacy":"public","createdAt":"2019-02-07T13:42:27.000Z","updatedAt":"2019-02-07T14:25:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9775"},{"rel":"revisions","href":"/dashboards/9775/revisions"},{"rel":"revision","href":"/dashboards/9775/revisions/2"},{"rel":"download","href":"/dashboards/9775/revisions/2/download"},{"rel":"org","href":"/orgs/indigo423"},{"rel":"images","href":"/dashboards/9775/images"},{"rel":"thumbnails","href":"/dashboards/9775/thumbnails"}],"datasourceSlugs":["opennms-helm-performance-datasource"]},{"id":14151,"status":1,"statusCode":"active","orgId":476737,"orgSlug":"wasdev","orgName":"wasdev","slug":"websphere-application-server-pmi-metrics-dashboard","downloads":91139,"revisionId":22386,"revision":3,"name":"WebSphere Application Server PMI Metrics Dashboard","description":"Visualize PMI metrics data for your WebSphere Application Server","readme":"Revision 3: Included support for _cell_ labels. This functionality has been introduced in 8.5.5.20 and 9.0.5.9\n\nStarting in WebSphere Application Server 9.0.5.7 and 8.5.5.20 the IBM WebSphere team introduced a new capability where the statistical MBean data gathered by Performance Monitoring Infrastructure (PMI) is collected to produce metrics in Prometheus exposition format.\nThis new capability allows the WebSphere Application Server topology to be monitored effectively using Prometheus and Grafana.\n\nThis capability is also currently available as an Interim Fix for WebSphere Application Server _8.5.5.16-8.5.5.19_. See [PH24409: Prometheus endpoint for Performance Monitoring Infrastructure (PMI) metrics on Websphere Application Server traditional](https://www.ibm.com/support/pages/node/6436149) for more information.\n\n\nThis dashboard leverages the Prometheus formatted metric data to visualize CPU, Memory Heap, Servlets, EJBs, Connection Pool, SIB, Sessions, Threadpool, Garbage Collection, and other JVM metrics of the entire cell.\nThis dashboard has been tested with Grafana  7.3.x and 7.4.x.\n\n\n##  **WebSphere Application Server**:\n- Install the metrics.ear found in the _<WAS_installation_directory>/installableApps_ directory onto your application server\n- Enable the desired PMI setting for your servers or use the wsadmin script provided below to enable the exact PMI stats/metrics that the Grafana dashboard uses.\n- Learn more about the WebSphere [Performance Monitoring Infrastructure](https://www.ibm.com/support/knowledgecenter/SSEQTP_9.0.5/com.ibm.websphere.base.doc/ae/cprf_pmidata.html)\n- See the full list of [Prometheus Metrics](https://www.ibm.com/docs/en/was/9.0.5?topic=format-prometheus-metrics)\n\n\n## **Prometheus**\nConfigure the `scrape_configs` section of _prometheus.yml_ in one of the following ways:\n\n\nFor metrics on an **insecure** endpoint (i.e. application security is not enabled):\n```\n  - job_name: 'wasCell01'\n    scrape_interval: 15s\n    static_configs:\n      - targets: ['localhost:9080']\n```\n  \nFor metrics on an **secure** endpoint using basic authentication  (i.e. application security is enabled):\n```\n  - job_name: 'wasCell01-secure'\n    scrape_interval: 15s\n    static_configs:\n      - targets: ['localhost:9443']\n    basic_auth:\n      username: \"<your-username>\"\n      password: \"<your-password>\"\n    tls_config:\n      insecure_skip_verify: true\n    scheme: \"https\"\n```\n\n## **Wsadmin Script to configure the exact PMI stats**\n\nProvided below is a Jython script that that will iterate through all your servers and enable the exact PMI stats needed by this Grafana dashboard.\n\nThere are a few steps required to run this script:\n1. Find your deployment manager's node name by copying the node name value in the _<Deployment_Manager_Profile_Directory>/logs/AboutThisProfile.txt_ file\n2. Create the Jython script under _<Deployment_Manager_Profile_Directory>/bin/_ and name it `setPMI.jy`\n3. Run the script by invoking : `./wsadmin.sh -f setPMI.jy -lang jython`\n4. When prompted, enter the node name from _step 1_.\n5. When the _\"done\"_ message appears on the terminal, the script has finished configuring the servers in your cell.\n\n\n**Wsadmin script:**\n```\n# -*- coding: utf-8 -*-\n\ndef main():\n\n    #Enables all specified attributes\n    #can be found in <dmgr_home>/logs/AboutThisProfile.txt under Node Name\n    mgrName = raw_input(\"Please enter name of Cell Manager (can be found in <dmgr_home>/logs/AboutThisProfile.txt under Node Name): \")\n    customString = [append(), java.lang.Boolean ('true')]\n    #Goes through each node\n    for node in AdminConfig.list('Node').split():\n        nName = AdminConfig.showAttribute(node, 'name')\n        #Makes sure to not include the cell manager nodes\n        if nName.find(mgrName) < 0:\n            for server in AdminControl.queryNames(\"type=Server,node=\"+ nName + \",*\").split():\n                #This obtains the Performance Mbean object.\n                #First it gets the MBean name (i.e perfStr)\n                #SEcond it obtains the Mbean Object (I.e perfObj)\n                processName = AdminControl.getAttribute(server, 'name')\n                perfStr = AdminControl.queryNames(\"type=Perf,process=\" + processName + \",node=\" + nName + \",*\")\n                perfObj = AdminControl.makeObjectName(perfStr)\n\n                print(\"initializing:\" + processName + \". From: \" + nName)\n                init(perfStr, perfObj)\n                print(\"configuring:\" + processName + \". From: \" + nName)\n                invoke(perfStr, perfObj, customString)\n                print(\"done\")\n\n#Below is how you would ENABLE or DISABLE specific PMI stats/attributes.\n#The attribute IDs/Numbers are derived from: https://www.ibm.com/support/knowledgecenter/en/SSAW57_9.0.5/com.ibm.websphere.nd.multiplatform.doc/ae/rprf_datacounter14.html\ndef append():\n    string ='servletSessionsModule=6,1,2,7'\n    string+=':beanModule=11,12'\n    string+=':webAppModule=11,13'\n    string+=':threadPoolModule=3,8,6,4,7'\n    string+=':StatGroup.SIBService=8,14'\n    string+=':StatGroup.SIBService>StatGroup.Communications>StatGroup.Clients>StatGroup.ClientsStandard=563,562'\n    string+=':StatGroup.SIBService>StatGroup.Communications>StatGroup.MessagingEngines>StatGroup.MessagingEnginesStandard='\n    string+=':StatGroup.SIBService>StatGroup.SIBMessagingEngines=513,512'\n    string+=':j2cModule=2,15,1,6,14,12,13,7'\n    string+=':connectionPoolModule=2,15,1,6,14,12,13,7'\n    string+=':jvmRuntimeModule=*'\n    string+=':jvmRuntimeModule>GC=*'\n    string+=':jvmRuntimeModule>Monitor=*'\n    string+=':jvmRuntimeModule>Object=*'\n    string+=':jvmRuntimeModule>Thread=*'\n    return string\n\ndef invoke(perfStr, perfObj, customString):\n    sigs = ['java.lang.String', 'java.lang.Boolean']\n    AdminControl.invoke_jmx (perfObj, 'setCustomSetString', customString, sigs)\n    AdminControl.invoke(perfStr,'savePMIConfiguration')\n\n#initializes the configuration to 'None'\ndef init(perfStr, perfObj):\n    sigs = ['java.lang.String']\n    params = ['none']\n    AdminControl.invoke_jmx (perfObj, 'setStatisticSet', params, sigs)\n    AdminControl.invoke(perfStr,'savePMIConfiguration')\n\nif __name__ == \"__main__\":\n    main()\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-03-26T16:32:29.000Z","updatedAt":"2021-09-10T18:03:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14151"},{"rel":"revisions","href":"/dashboards/14151/revisions"},{"rel":"revision","href":"/dashboards/14151/revisions/3"},{"rel":"download","href":"/dashboards/14151/revisions/3/download"},{"rel":"org","href":"/orgs/wasdev"},{"rel":"images","href":"/dashboards/14151/images"},{"rel":"thumbnails","href":"/dashboards/14151/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14567,"status":1,"statusCode":"active","orgId":476737,"orgSlug":"wasdev","orgName":"wasdev","slug":"websphere-application-server-pmi-metrics-openshift-dashboard","downloads":362,"revisionId":21562,"revision":1,"name":"WebSphere Application Server PMI Metrics OpenShift Dashboard","description":"Visualize PMI metrics data for your WebSphere Application Server on OpenShift","readme":"Starting in WebSphere Application Server 9.0.5.7 the IBM WebSphere team introduced a new capability where the statistical MBean data gathered by Performance Monitoring Infrastructure (PMI) is collected to produce metrics in Prometheus exposition format.\nThis new capability allows the WebSphere Application Server topology to be monitored effectively using Prometheus and Grafana.\n\n\nThis dashboard leverages the Prometheus formatted metric data to visualize CPU, Memory Heap, Servlets, EJBs, Connection Pool, SIB, Sessions, Threadpool, Garbage Collection, and other JVM metrics of the entire cell.\n\nThis dashboard has been tested with the version 7.3.10 of Grafana provided by the Grafana Operator.\n\n\n##  **WebSphere Application Server**:\nTo use this Grafana dashboard the WebSphere Application Server docker image deployed on OCP will need to have the metrics.ear deployed, GC profiler for the JVM configured  (for the GC stats!) and have the PMI settings configured to specifically output the stats/metrics used by this Grafana dashboard.\n\n1. Provided below is the Dockerfile to build the customized WAS image and the required files/scripts for building the image.\n2. After building the image push it to the image registry of your choice and deploy it as an instance of the [Runtime Component Operator](https://github.com/application-stacks/runtime-component-operator/blob/master/doc/user-guide.adoc)\n3. You will then need to deploy Prometheus and Grafana on your OpenShift cluster and configure it to scrape metrics from your target service/deployment outlined at [Application Monitoring on Red Hat OpenShift Container Platform (RHOCP) with Prometheus and Grafana](https://github.com/OpenLiberty/open-liberty-operator/blob/master/doc/openshift-monitoring.adoc). The documentation may be under the  _Open Liberty Operator_ repository , but the instructions for configuring Prometheus and Grafana are applicable here.\n\n\n- Learn more about the WebSphere [Performance Monitoring Infrastructure](https://www.ibm.com/support/knowledgecenter/SSEQTP_9.0.5/com.ibm.websphere.base.doc/ae/cprf_pmidata.html) \n- Learn more about the WebSphere docker image on [Docker Hub](https://hub.docker.com/r/ibmcom/websphere-traditional/) \n- Learn more about the WebSphere docker image and configuration options on its [Github repository](https://github.com/WASdev/ci.docker.websphere-traditional) \n- See the full list of [Prometheus Metrics](https://www.ibm.com/docs/en/was/9.0.5?topic=format-prometheus-metrics)\n\n#### Dockerfile\n```\nFROM ibmcom/websphere-traditional:latest as base\nFROM ibmcom/websphere-traditional:latest\nCOPY --from=base --chown=was:root /opt/IBM/WebSphere/AppServer/installableApps/metrics.ear /work/config/metrics.ear\nCOPY --chown=was:root install_app.py /work/config/\nCOPY --chown=was:root setPMI.py setGCProfiler.py /work/\nCOPY was-config.props /work/config/was-config.props\nRUN env JVM_EXTRA_CMD_ARGS=-Xnoloa /work/configure.sh && /work/configure.sh /work/setGCProfiler.py && /work/configure.sh /work/setPMI.py\n```\n#### installApp.py\n```\nimport sys\nimport os\n\nglobal  AdminConfig\n\ndef getNodeId (prompt):\n    nodeList = AdminConfig.list(\"Node\").split(\"\\n\")\n\n    if (len(nodeList) == 1):\n        node = nodeList[0]\n    else:\n        print \"\"\n        print \"Available Nodes:\"\n\n        nodeNameList = []\n\n        for item in nodeList:\n            item = item.rstrip()\n            name = getName(item) \n\n            nodeNameList.append(name)\n            print \"   \" + name\n\n        DefaultNode = nodeNameList[0]\n        if (prompt == \"\"):\n            prompt = \"Select the desired node\"\n\n        nodeName = getValidInput(prompt+\" [\"+DefaultNode+\"]:\", DefaultNode, nodeNameList )\n\n        index = nodeNameList.index(nodeName)\n        node = nodeList[index]\n    return node\n\ndef getServerId (prompt):\n    serverList = AdminConfig.list(\"Server\").split(\"\\n\")\n\n    if (len(serverList) == 1):\n        server = serverList[0]\n    else:\n        print \"\"\n        print \"Available Servers:\"\n\n        serverNameList = []\n\n        for item in serverList:\n            item = item.rstrip()\n            name = getName(item)\n\n            serverNameList.append(name)\n            print \"   \" + name\n\n        DefaultServer = serverNameList[0]\n        if (prompt == \"\"):\n            prompt = \"Select the desired server\"\n        serverName = getValidInput(prompt+\" [\"+DefaultServer+\"]:\", DefaultServer, serverNameList )\n\n        index = serverNameList.index(serverName)\n        server = serverList[index]\n\n    return server\n\ndef getName (objectId):\n    endIndex = (objectId.find(\"(c\") - 1)\n    stIndex = 0\n    if (objectId.find(\"\\\"\") == 0):\n        stIndex = 1\n    return objectId[stIndex:endIndex+1]\n\nprint \"Installing application ...\"\n\nnode = getName(getNodeId(\"\"))\nserver = getName(getServerId(\"\"))\n\nparms = \"-appname Application\"\nparms += \" -node \" + node + \" -server \" + server\nparms += \" -nouseMetaDataFromBinary\"\napp = AdminApp.install(\"/work/config/metrics.ear\", [parms])\n\nAdminTask.setGenericJVMArguments('[-nodeName ' + node + ' -serverName ' + server + ' -genericJvmArguments \"-Xnoloa\"]')\n\nAdminConfig.save()\n```\n#### was-config.props\n```\nResourceType=ThreadPool\nImplementingResourceType=Server\nResourceId=Cell=!{cellName}:Node=!{nodeName}:Server=!{serverName}:ThreadPoolManager=:ThreadPool=\n\nmaximumSize=100\nname=WebContainer\nminimumSize=100\ninactivityTimeout=60000\n```\n\n#### setGCProfiler.py\n```\n# -*- coding: utf-8 -*-\n\ndef main():\n\n    #Goes through each node\n    for node in AdminConfig.list('Node').split():\n        #Acquire node name\n        nodeName = AdminConfig.showAttribute(node, 'name')\n        for server in AdminControl.queryNames(\"type=Server,node=\"+ nodeName + \",*\").split():\n            #Acquire server name\n            serverName = AdminControl.getAttribute(server, 'name')\n            print(\"serverName \" + serverName)\n            #Instrument JVM profiler\n            AdminTask.setJVMProperties('[-nodeName ' + nodeName + ' -serverName ' + serverName + ' -genericJvmArguments \"-agentlib:pmiJvmtiProfiler\"]')\n            AdminConfig.save()\n            print(\"Finished instrumenting GC profiler\")\n\nif __name__ == \"__main__\":\n    main()\n```\n\n#### setPMI.py\n```\n# -*- coding: utf-8 -*-\n\ndef main():\n\n    #Enables all specified attributes\n    customString = [append(), java.lang.Boolean ('true')]\n    #Goes through each node\n    for node in AdminConfig.list('Node').split():\n        nName = AdminConfig.showAttribute(node, 'name')\n        #Makes sure to not include the cell manager nodes\n        for server in AdminControl.queryNames(\"type=Server,node=\"+ nName + \",*\").split():\n            #This obtains the Performance Mbean object.\n            #First it gets the MBean name (i.e perfStr)\n            #SEcond it obtains the Mbean Object (I.e perfObj)\n            processName = AdminControl.getAttribute(server, 'name')\n            perfStr = AdminControl.queryNames(\"type=Perf,process=\" + processName + \",node=\" + nName + \",*\")\n            perfObj = AdminControl.makeObjectName(perfStr)\n\n            print(\"configuring:\" + processName + \". From: \" + nName)\n            invoke(perfStr, perfObj, customString)\n            print(\"done\")\n\n#Below is how you would ENABLE or DISABLE specific PMI stats/attributes.\n#The attribute IDs/Numbers are derived from: https://www.ibm.com/support/knowledgecenter/en/SSAW57_9.0.5/com.ibm.websphere.nd.multiplatform.doc/ae/rprf_datacounter14.html\ndef append():\n    string ='servletSessionsModule=6,1,2,7'\n    string+=':beanModule=11,12'\n    string+=':webAppModule=11,13'\n    string+=':threadPoolModule=3,8,6,4,7'\n    string+=':StatGroup.SIBService=8,14'\n    string+=':StatGroup.SIBService>StatGroup.Communications>StatGroup.Clients>StatGroup.ClientsStandard=563,562'\n    string+=':StatGroup.SIBService>StatGroup.Communications>StatGroup.MessagingEngines>StatGroup.MessagingEnginesStandard='\n    string+=':StatGroup.SIBService>StatGroup.SIBMessagingEngines=513,512'\n    string+=':systemModule=1,2,3'\n    string+=':j2cModule=2,15,1,6,14,12,13,7'\n    string+=':connectionPoolModule=2,15,1,6,14,12,13,7'\n    string+=':jvmRuntimeModule=1,2,3,4,5,11,12,13'\n    string+=':beanModule=11,12'\n    return string\n\ndef invoke(perfStr, perfObj, customString):\n    sigs = ['java.lang.String', 'java.lang.Boolean']\n    AdminControl.invoke_jmx (perfObj, 'setCustomSetString', customString, sigs)\n    AdminControl.invoke(perfStr,'savePMIConfiguration')\n\nif __name__ == \"__main__\":\n    main()\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-06-09T15:53:56.000Z","updatedAt":"2021-07-05T17:25:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14567"},{"rel":"revisions","href":"/dashboards/14567/revisions"},{"rel":"revision","href":"/dashboards/14567/revisions/1"},{"rel":"download","href":"/dashboards/14567/revisions/1/download"},{"rel":"org","href":"/orgs/wasdev"},{"rel":"images","href":"/dashboards/14567/images"},{"rel":"thumbnails","href":"/dashboards/14567/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19335,"status":1,"statusCode":"active","orgId":295768,"orgSlug":"wljtcc","orgName":"wljtcc","slug":"well-cloudwatch-logs","downloads":328,"revisionId":29650,"revision":1,"name":"WELL Cloudwatch Logs","description":"A simple Amazon Cloudwatch logs dashboard. It allow filtering by log groups, and quick searches of any terms to filter the log lines.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"CloudWatch","privacy":"public","createdAt":"2023-08-11T18:30:50.000Z","updatedAt":"2023-08-11T18:33:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19335"},{"rel":"revisions","href":"/dashboards/19335/revisions"},{"rel":"revision","href":"/dashboards/19335/revisions/1"},{"rel":"download","href":"/dashboards/19335/revisions/1/download"},{"rel":"org","href":"/orgs/wljtcc"},{"rel":"images","href":"/dashboards/19335/images"},{"rel":"thumbnails","href":"/dashboards/19335/thumbnails"}],"datasourceSlugs":["cloudwatch"]},{"id":18881,"status":1,"statusCode":"active","orgId":295768,"orgSlug":"wljtcc","orgName":"wljtcc","slug":"well-cluster-monitoring-for-kubernetes","downloads":277,"revisionId":28960,"revision":1,"name":"WELL Cluster Monitoring for Kubernetes","description":"This dashboard provides cluster admins with the ability to monitor nodes and identify workload bottlenecks. It can be deployed with PSPs enabled using the following helm chart - https://github.com/pivotal-cf/charts-grafana","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-06-05T19:46:03.000Z","updatedAt":"2023-06-05T19:46:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18881"},{"rel":"revisions","href":"/dashboards/18881/revisions"},{"rel":"revision","href":"/dashboards/18881/revisions/1"},{"rel":"download","href":"/dashboards/18881/revisions/1/download"},{"rel":"org","href":"/orgs/wljtcc"},{"rel":"images","href":"/dashboards/18881/images"},{"rel":"thumbnails","href":"/dashboards/18881/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18897,"status":1,"statusCode":"active","orgId":295768,"orgSlug":"wljtcc","orgName":"wljtcc","slug":"well-k8s-rke-cluster-monitoring","downloads":658,"revisionId":28982,"revision":1,"name":"WELL K8s RKE Cluster Monitoring","description":"Monitors K8s Rancherv2 cluster using Prometheus. Shows overall cluster CPU / Memory / Filesystem usage as well as individual pod, containers, systemd services statistics. 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Uses cAdvisor metrics only.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-06-06T14:09:22.000Z","updatedAt":"2023-06-06T14:12:10.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18895"},{"rel":"revisions","href":"/dashboards/18895/revisions"},{"rel":"revision","href":"/dashboards/18895/revisions/1"},{"rel":"download","href":"/dashboards/18895/revisions/1/download"},{"rel":"org","href":"/orgs/wljtcc"},{"rel":"images","href":"/dashboards/18895/images"},{"rel":"thumbnails","href":"/dashboards/18895/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18882,"status":1,"statusCode":"active","orgId":295768,"orgSlug":"wljtcc","orgName":"wljtcc","slug":"well-kubernetes-nodes","downloads":284,"revisionId":28961,"revision":1,"name":"WELL Kubernetes Nodes","description":"Kubernetes Nodes for node exporter 0.16+ (via Prometheus)\r\n","readme":"","collectorType":"collectd","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-06-05T19:48:53.000Z","updatedAt":"2023-06-05T19:49:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18882"},{"rel":"revisions","href":"/dashboards/18882/revisions"},{"rel":"revision","href":"/dashboards/18882/revisions/1"},{"rel":"download","href":"/dashboards/18882/revisions/1/download"},{"rel":"org","href":"/orgs/wljtcc"},{"rel":"images","href":"/dashboards/18882/images"},{"rel":"thumbnails","href":"/dashboards/18882/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18880,"status":1,"statusCode":"active","orgId":295768,"orgSlug":"wljtcc","orgName":"wljtcc","slug":"well-kubernetes-pods-prometheus","downloads":294,"revisionId":28959,"revision":1,"name":"WELL Kubernetes Pods (Prometheus)","description":"A dashboard to view pod metrics by namespace and pod names.\r\n\r\nUse this Helm chart to launch Grafana into a Kubernetes cluster. It will include this dashboard and many more dashboards to give you visibility into the Kubernetes Cluster. 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You will find examples of Prometheus scrape job configurations for collecting WCS OpenMetrics data and instructions for importing the pre-configured WCS Grafana dashboard.\r\n\r\n## Requirements\r\n\r\n- **Prometheus**: Installed and configured for your environment.\r\n- **Grafana**: Installed and configured with Prometheus as a data source.\r\n- **WCS OpenMetrics API**: Accessible with a valid API key.\r\n\r\n## Prometheus Scrape Job Configuration\r\n\r\nTo collect metrics from the WCS OpenMetrics API, you need to add scrape jobs to your Prometheus configuration file. Below is an example of how the scrape job should be configured. Please ensure that you mask your keys and targets for security purposes when sharing configurations.\r\n\r\n### Example Scrape Jobs\r\n\r\n```yaml\r\n- job_name: 'wcs_openmetrics'\r\n  metrics_path: /api/v1/openmetrics.php\r\n  scheme: https\r\n  static_configs:\r\n    - targets: ['<your_wcs_server>']\r\n  params:\r\n    auth: ['<your_auth_token>']\r\n    keyName: ['openmetrics']\r\n    apikey: ['<your_api_key>']\r\n\r\n- job_name: 'wcs_openmetrics_stats_update'\r\n  scrape_interval: 5m\r\n  metrics_path: /api/v1/openmetrics.php\r\n  scheme: https\r\n  static_configs:\r\n    - targets: ['<your_wcs_server>']\r\n  params:\r\n    auth: ['<your_auth_token>']\r\n    keyName: ['openmetrics']\r\n    apikey: ['<your_api_key>']\r\n    updateStats: [1]\r\n```\r\n\r\n### Explanation of Fields\r\n\r\n- **job_name**: Name for the scrape job. For example, `'wcs_openmetrics'` and `'wcs_openmetrics_stats_update'`.\r\n- **metrics_path**: The path on the WCS server that exposes OpenMetrics data. In this case, `/api/v1/openmetrics.php`.\r\n- **scheme**: The protocol used for accessing the WCS server, typically `https`.\r\n- **static_configs**: Defines the targets (i.e., the WCS server endpoints) to scrape metrics from.\r\n- **params**: Additional parameters for authentication and API access, such as the `auth`, `keyName`, and `apikey` fields.\r\n\r\n### Masked Example\r\n\r\nIn the examples above, ensure to replace:\r\n\r\n- `<your_wcs_server>` with your actual WCS server URL.\r\n- `<your_auth_token>` with the authentication token.\r\n- `<your_api_key>` with your actual API key.\r\n\r\n## Grafana Dashboard Setup\r\n\r\nOnce Prometheus is configured with the WCS OpenMetrics data, you can create Grafana dashboards to visualize the metrics. The following steps outline how to set up the dashboard:\r\n\r\n### 1. Add Prometheus as a Data Source\r\n   - Navigate to **Configuration** in Grafana.\r\n   - Click on **Data Sources** and select **Prometheus**.\r\n   - Enter the Prometheus URL (e.g., `http://localhost:9090` if Prometheus is running locally).\r\n   - Save and test the connection.\r\n\r\n### 2. Import the WCS Grafana Dashboard\r\n\r\nTo streamline the setup process, White Cloud Security provides a pre-configured Grafana dashboard. You can import this dashboard using the ID `22041`.\r\n\r\n#### Steps to Import:\r\n\r\n1. Open Grafana and navigate to **Create** > **Import**.\r\n2. In the **Import via grafana.com** section, enter the dashboard ID `22041` and click **Load**.\r\n3. Choose the Prometheus data source you configured earlier from the dropdown list.\r\n4. Click **Import** to load the dashboard into your Grafana instance.\r\n\r\nOnce imported, the dashboard will display a variety of WCS-specific metrics and graphs, providing real-time insights into your security landscape.\r\n\r\n## Additional Resources\r\n\r\n- Visit the official [White Cloud Security website](https://whitecloudsecurity.com) for more information about the product and its capabilities.\r\n- Detailed documentation can be found at [WCS Documentation](https://whitecloudsecurity.com/docs/) to help with further configuration, troubleshooting, and advanced setup.\r\n\r\n## Conclusion\r\n\r\nBy following these steps, you will have successfully integrated White Cloud Security metrics into your Grafana dashboard using Prometheus and imported the pre-configured WCS dashboard for monitoring. 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metrics for telegraf metrics pumped into Prometheus","readme":"Dashboard for basic Windows, JVM and Tomcat metrics collected with Telegraf and Prometheus.\n\nPlease specify variables with <some-value> in config template\nTo get process name for this string \"Instances = [\"javaw\", \"java\", \"httpd\",\"<task-name>\"]\" please use cmd > tasklist \n\n","collectorType":"Telegraf","collectorConfig":"# Telegraf configuration\n\n[agent]\n  ## Default data collection interval for all inputs\n  interval = \"10s\"\n  ## Rounds collection interval to 'interval'\n  ## ie, if interval=\"10s\" then always collect on :00, :10, :20, etc.\n  round_interval = true\n\n  collection_jitter = \"0s\"\n  flush_interval = \"10s\"\n  flush_jitter = \"0s\"\n\n  ## Run telegraf in debug mode\n  debug = false\n  ## Run telegraf in quiet mode\n  quiet = false\n  ## Override default hostname, if empty use os.Hostname()\n  hostname = \"<hostname>\"\n\n[[outputs.prometheus_client]]\n  listen = \":9273\"\n\n###############################################################################\n#                                  INPUTS                                     #\n###############################################################################\n\n# Gather metrics from the Tomcat server status page.\n[[inputs.tomcat]]\n  ## URL of the Tomcat server status\n  url = \"http://127.0.0.1:8080/manager/status/all?XML=true\"\n\n  ## HTTP Basic Auth Credentials\n  username = \"<username>\"\n  password = \"<password>\"\n\n  ## Request timeout\n  timeout = \"5s\"\n\n[[inputs.win_perf_counters]]\n  [[inputs.win_perf_counters.object]]\n    # Processor usage, alternative to native, reports on a per core.\n    ObjectName = \"Processor\"\n    Instances = [\"*\"]\n    Counters = [\n      \"% Idle Time\",\n      \"% Interrupt Time\",\n      \"% Privileged Time\",\n      \"% User Time\",\n      \"% Processor Time\",\n      \"% DPC Time\",\n    ]\n    Measurement = \"win_cpu\"\n    # Set to true to include _Total instance when querying for all (*).\n    IncludeTotal=true\n  \n  [[inputs.win_perf_counters.object]]\n    # Process metrics, in this case for IIS only\n    ObjectName = \"Process\"\n    Counters = [\n      \"% Processor Time\",\n      \"Handle Count\",\n      \"Private Bytes\",\n      \"Thread Count\",\n      \"Virtual Bytes\",\n      \"Working Set\"\n    ]\n    Instances = [\"javaw\", \"java\", \"httpd\",\"<task-name>\"]\n    Measurement = \"win_proc\"\n    #IncludeTotal=false #Set to true to include _Total instance when querying for all (*).\n\n  [[inputs.win_perf_counters.object]]\n    # Disk times and queues\n    ObjectName = \"LogicalDisk\"\n    Instances = [\"*\"]\n    Counters = [\n      \"% Idle Time\",\n      \"% Disk Time\",\n      \"% Disk Read Time\",\n      \"% Disk Write Time\",\n      \"Current Disk Queue Length\",\n      \"% Free Space\",\n      \"Free Megabytes\",\n    ]\n    Measurement = \"win_disk\"\n    # Set to true to include _Total instance when querying for all (*).\n    #IncludeTotal=false\n\n  [[inputs.win_perf_counters.object]]\n    ObjectName = \"PhysicalDisk\"\n    Instances = [\"*\"]\n    Counters = [\n      \"Disk Read Bytes/sec\",\n      \"Disk Write Bytes/sec\",\n      \"Avg. Disk Queue Length\",\n      \"Current Disk Queue Length\",\n      \"Avg. Disk sec/Read\",\n      \"Avg. Disk sec/Write\",\n      \"Split IO/sec\",\n    ]\n    Measurement = \"win_diskio\"\n\n  [[inputs.win_perf_counters.object]]\n    ObjectName = \"Network Interface\"\n    Instances = [\"*\"]\n    Counters = [\n      \"Bytes Received/sec\",\n      \"Bytes Sent/sec\",\n      \"Packets Received/sec\",\n      \"Packets Sent/sec\",\n      \"Packets Received Discarded\",\n      \"Packets Outbound Discarded\",\n      \"Packets Received Errors\",\n      \"Packets Outbound Errors\",\n    ]\n    Measurement = \"win_net\"\n\n  [[inputs.win_perf_counters.object]]\n    ObjectName = \"System\"\n    Counters = [\n      \"Threads\",\n      \"Processes\",\n      \"Context Switches/sec\",\n      \"System Calls/sec\",\n      \"Processor Queue Length\",\n      \"System Up Time\",\n    ]\n    Instances = [\"------\"]\n    Measurement = \"win_system\"\n    # Set to true to include _Total instance when querying for all (*).\n    #IncludeTotal=false\n\n  [[inputs.win_perf_counters.object]]\n    # Example query where the Instance portion must be removed to get data back,\n    # such as from the Memory object.\n    ObjectName = \"Memory\"\n    Counters = [\n      \"Available Bytes\",\n      \"Cache Faults/sec\",\n      \"Demand Zero Faults/sec\",\n      \"Page Faults/sec\",\n      \"Pages/sec\",\n      \"Page Reads/sec\",\n      \"Page Writes/sec\",\n      \"Transition Faults/sec\",\n      \"Pool Nonpaged Bytes\",\n      \"Pool Paged Bytes\",\n      \"Standby Cache Reserve Bytes\",\n      \"Standby Cache Normal Priority Bytes\",\n      \"Standby Cache Core Bytes\",\n\n    ]\n    # Use 6 x - to remove the Instance bit from the query.\n    Instances = [\"------\"]\n    Measurement = \"win_mem\"\n    # Set to true to include _Total instance when querying for all (*).\n    #IncludeTotal=false\n\n  [[inputs.win_perf_counters.object]]\n    # Example query where the Instance portion must be removed to get data back,\n    # such as from the Paging File object.\n    ObjectName = \"Paging File\"\n    Counters = [\n      \"% Usage\",\n    ]\n    Instances = [\"_Total\"]\n    Measurement = \"win_swap\"","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-02-05T07:41:17.000Z","updatedAt":"2019-02-05T08:11:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/9756"},{"rel":"revisions","href":"/dashboards/9756/revisions"},{"rel":"revision","href":"/dashboards/9756/revisions/1"},{"rel":"download","href":"/dashboards/9756/revisions/1/download"},{"rel":"org","href":"/orgs/jaroslavdextems"},{"rel":"images","href":"/dashboards/9756/images"},{"rel":"thumbnails","href":"/dashboards/9756/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11339,"status":1,"statusCode":"active","orgId":46444,"orgSlug":"wolph","orgName":"wolph","slug":"windows-aida64-hardware-statistics","downloads":399,"revisionId":15910,"revision":1,"name":"Windows AIDA64 Hardware Statistics","description":"Dashboard that uses AIDA64 to export all of your Windows (hardware) statistics to show temperatures, voltages, clock speed, cpu usage, disk utilisation and usage, memory speed and utilisation.\n\n","readme":"To run this Dashboard you need 3 components:\n1. AIDA64\n2. Prometheus\n3. AIDA64_prometheus_exporter.py [https://gist.github.com/WoLpH/558158dd92ce08cb2253c07934a12ad8][1]\n\nAfter starting AIDA64 you need to go to Preferences -> Hardware Monitoring -> External Applications and check the \"Enable shared memory\" box.\n\nSecond you need to run the AIDA64_exporter that can be found here:  [https://gist.github.com/WoLpH/558158dd92ce08cb2253c07934a12ad8][1]\n\nTo run the script you need Python 3 (any recent version will work) and the [prometheus_client][2] Python package.\n\nYou can start the script any way you like. I personally launch the script using EventGhost.\n\nLastly you need to configure Prometheus to read the data from that machine at port 9091 (you can change it with commandline flags to the exporter if needed).\n\n[1]: https://gist.github.com/WoLpH/558158dd92ce08cb2253c07934a12ad8\n[2]: https://github.com/prometheus/client_python","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-12-03T11:14:59.000Z","updatedAt":"2020-07-17T15:34:36.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11339"},{"rel":"revisions","href":"/dashboards/11339/revisions"},{"rel":"revision","href":"/dashboards/11339/revisions/1"},{"rel":"download","href":"/dashboards/11339/revisions/1/download"},{"rel":"org","href":"/orgs/wolph"},{"rel":"images","href":"/dashboards/11339/images"},{"rel":"thumbnails","href":"/dashboards/11339/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20949,"status":1,"statusCode":"active","orgId":1109326,"orgSlug":"briangates","orgName":"briangates","slug":"windows-cpu-and-system","downloads":829,"revisionId":32527,"revision":1,"name":"Windows CPU and system","description":"CPU and System Metrics for Windows","readme":"# Windows Fleet Overview and Windows Dashboard Collection\r\n\r\nTo effectively utilize this dashboard collection, you must first install the Grafana Alloy agent. Follow the installation instructions available at [Grafana Alloy Installation Guide](https://grafana.com/docs/alloy/latest/get-started/install/). Additionally, configure your agent using the configuration provided at [Windows Integration Config](https://github.com/brngates98/GrafanaAgents/blob/main/Alloy/windows-integration/config.alloy).\r\n\r\nMake sure you download all the required dashboards for a comprehensive overview:\r\n- **Windows Fleet Overview:** [Dashboard Link](https://grafana.com/grafana/dashboards/20945)\r\n- **Windows Overview:** [Dashboard Link](https://grafana.com/grafana/dashboards/20947)\r\n- **Windows CPU and System:** [Dashboard Link](https://grafana.com/grafana/dashboards/20949)\r\n- **Windows Disks and File Systems:** [Dashboard Link](https://grafana.com/grafana/dashboards/20948)\r\n- **Windows Logs:** [Dashboard Link](https://grafana.com/grafana/dashboards/20946)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2024-04-24T19:09:38.000Z","updatedAt":"2024-04-26T16:54:46.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20949"},{"rel":"revisions","href":"/dashboards/20949/revisions"},{"rel":"revision","href":"/dashboards/20949/revisions/1"},{"rel":"download","href":"/dashboards/20949/revisions/1/download"},{"rel":"org","href":"/orgs/briangates"},{"rel":"images","href":"/dashboards/20949/images"},{"rel":"thumbnails","href":"/dashboards/20949/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":25144,"status":1,"statusCode":"active","orgId":1727325,"orgSlug":"kunalshah017","orgName":"kunalshah017","slug":"windows-dashboard","downloads":4,"revisionId":40425,"revision":1,"name":"Windows Dashboard - DevOps","description":"For DevOps practical","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-04-09T19:56:52.000Z","updatedAt":"2026-04-09T19:57:41.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25144"},{"rel":"revisions","href":"/dashboards/25144/revisions"},{"rel":"revision","href":"/dashboards/25144/revisions/1"},{"rel":"download","href":"/dashboards/25144/revisions/1/download"},{"rel":"org","href":"/orgs/kunalshah017"},{"rel":"images","href":"/dashboards/25144/images"},{"rel":"thumbnails","href":"/dashboards/25144/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9837,"status":1,"statusCode":"active","orgId":144692,"orgSlug":"sethryder","orgName":"Seth Ryder","slug":"windows-overview","downloads":4787,"revisionId":13724,"revision":3,"name":"Windows Desktop Overview","description":"A dashboard for monitoring a Windows Desktop/Gaming PC. Using Prometheus, wmi_exporter, and OhmGraphite.","readme":"This dashboard is built around monitoring a Desktop/Gaming PC.\r\n\r\nIt uses the following exporters:\r\n* wmi_exporter\r\n* OhmGraphite\r\n\r\nOhmGraphite does not follow best practices for metric/label naming so you will most likely will need to make changes to the dashboard for it to work for you but it should be a good starting point.\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-02-24T16:29:35.000Z","updatedAt":"2019-02-27T20:11:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":2,"links":[{"rel":"self","href":"/dashboards/9837"},{"rel":"revisions","href":"/dashboards/9837/revisions"},{"rel":"revision","href":"/dashboards/9837/revisions/3"},{"rel":"download","href":"/dashboards/9837/revisions/3/download"},{"rel":"org","href":"/orgs/sethryder"},{"rel":"images","href":"/dashboards/9837/images"},{"rel":"thumbnails","href":"/dashboards/9837/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23317,"status":1,"statusCode":"active","orgId":1410393,"orgSlug":"abushaghab50","orgName":"abushaghab50","slug":"windows-desktop-overview","downloads":247,"revisionId":36982,"revision":1,"name":"Windows Desktop Overview","description":"A dashboard for monitoring a Windows Desktop/Gaming PC. Using Prometheus, wmi_exporter, and OhmGraphite.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-04-24T07:52:03.000Z","updatedAt":"2025-04-24T07:52:16.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23317"},{"rel":"revisions","href":"/dashboards/23317/revisions"},{"rel":"revision","href":"/dashboards/23317/revisions/1"},{"rel":"download","href":"/dashboards/23317/revisions/1/download"},{"rel":"org","href":"/orgs/abushaghab50"},{"rel":"images","href":"/dashboards/23317/images"},{"rel":"thumbnails","href":"/dashboards/23317/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17505,"status":1,"statusCode":"active","orgId":751344,"orgSlug":"rogercairo","orgName":"rogercairo","slug":"windows-desktop-overview","downloads":320,"revisionId":26876,"revision":1,"name":"Windows Desktop Overview","description":"A dashboard for monitoring a Windows Desktop\r\nUsing Prometheus, wmi_exporter, and OhmGraphite.","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"cpu, diskstats, filesystem, netstat, stat","datasource":"Prometheus","privacy":"public","createdAt":"2022-11-27T23:19:13.000Z","updatedAt":"2022-11-27T23:23:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/17505"},{"rel":"revisions","href":"/dashboards/17505/revisions"},{"rel":"revision","href":"/dashboards/17505/revisions/1"},{"rel":"download","href":"/dashboards/17505/revisions/1/download"},{"rel":"org","href":"/orgs/rogercairo"},{"rel":"images","href":"/dashboards/17505/images"},{"rel":"thumbnails","href":"/dashboards/17505/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20948,"status":1,"statusCode":"active","orgId":1109326,"orgSlug":"briangates","orgName":"briangates","slug":"windows-disks-and-filesystems","downloads":852,"revisionId":32526,"revision":1,"name":"Windows disks and filesystems","description":"Disk and File System Metrics for Windows","readme":"# Windows Fleet Overview and Windows Dashboard Collection\r\n\r\nTo effectively utilize this dashboard collection, you must first install the Grafana Alloy agent. Follow the installation instructions available at [Grafana Alloy Installation Guide](https://grafana.com/docs/alloy/latest/get-started/install/). Additionally, configure your agent using the configuration provided at [Windows Integration Config](https://github.com/brngates98/GrafanaAgents/blob/main/Alloy/windows-integration/config.alloy).\r\n\r\nMake sure you download all the required dashboards for a comprehensive overview:\r\n- **Windows Fleet Overview:** [Dashboard Link](https://grafana.com/grafana/dashboards/20945)\r\n- **Windows Overview:** [Dashboard Link](https://grafana.com/grafana/dashboards/20947)\r\n- **Windows CPU and System:** [Dashboard Link](https://grafana.com/grafana/dashboards/20949)\r\n- **Windows Disks and File Systems:** [Dashboard Link](https://grafana.com/grafana/dashboards/20948)\r\n- **Windows Logs:** [Dashboard Link](https://grafana.com/grafana/dashboards/20946)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2024-04-24T19:08:53.000Z","updatedAt":"2024-04-26T16:54:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20948"},{"rel":"revisions","href":"/dashboards/20948/revisions"},{"rel":"revision","href":"/dashboards/20948/revisions/1"},{"rel":"download","href":"/dashboards/20948/revisions/1/download"},{"rel":"org","href":"/orgs/briangates"},{"rel":"images","href":"/dashboards/20948/images"},{"rel":"thumbnails","href":"/dashboards/20948/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":12566,"status":1,"statusCode":"active","orgId":397083,"orgSlug":"dotbalo","orgName":"dotbalo","slug":"3-windows-exporter-0-7-0-for-prometheus-windows","downloads":3378,"revisionId":18061,"revision":1,"name":"Windows 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Exporter","description":"copy from ID10467，优化显示，磁盘显示项排除以HarddiskVolume开头的磁盘信息。","readme":"copy from10467，优化显示，磁盘显示项排除以HarddiskVolume开头的磁盘信息。\r\n\r\n更多dashboard可访问: https://github.com/OranYee/grafana-dashboard","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-10T09:59:03.000Z","updatedAt":"2024-04-11T09:56:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20865"},{"rel":"revisions","href":"/dashboards/20865/revisions"},{"rel":"revision","href":"/dashboards/20865/revisions/1"},{"rel":"download","href":"/dashboards/20865/revisions/1/download"},{"rel":"org","href":"/orgs/oran"},{"rel":"images","href":"/dashboards/20865/images"},{"rel":"thumbnails","href":"/dashboards/20865/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19143,"status":1,"statusCode":"active","orgId":249003,"orgSlug":"ntarquini","orgName":"Nicolas Tarquini","slug":"windows-exporter","downloads":486,"revisionId":29314,"revision":1,"name":"Windows Exporter","description":"Windows Exporters - Modificado del Original","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-07-10T18:15:48.000Z","updatedAt":"2023-07-10T18:16:07.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19143"},{"rel":"revisions","href":"/dashboards/19143/revisions"},{"rel":"revision","href":"/dashboards/19143/revisions/1"},{"rel":"download","href":"/dashboards/19143/revisions/1/download"},{"rel":"org","href":"/orgs/ntarquini"},{"rel":"images","href":"/dashboards/19143/images"},{"rel":"thumbnails","href":"/dashboards/19143/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14694,"status":1,"statusCode":"active","orgId":519573,"orgSlug":"girb90","orgName":"girb90","slug":"windows-exporter-dashboard","downloads":50334,"revisionId":21907,"revision":2,"name":"Windows Exporter Dashboard","description":"Windows Exporter Dashboard Created By Ismaeil Rasoulivand with love","readme":"# If You've installed windows expxorter already\nOpen up `Control Panel` and uninstall `windows_exporter` from `Programs and Features`\n# Usage\nTo use this dashboard you must install windows exporter from [here](https://github.com/prometheus-community/windows_exporter) and after that you do not have to do any other thing. dashboard will show what you saw in snapshots.\n\n### How you can install windows_eporter to collect data for this dashboard:\n* Download latest version of windows_exporter from [here](https://github.com/prometheus-community/windows_exporter/releases) (download `.msi` file)\n* Open up a command prompt with administrator privileges (`Run as administrator`)\n* Change your directory where you've downloaded `.msi` file at\n* Run below command :\n```\nmsiexec /i windows_exporter-0.16.0-amd64.msi 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Corporation\\\\NVSMI\\\\nvidia-smi.exe\"\n```","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-08-28T17:18:29.000Z","updatedAt":"2020-08-28T19:04:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12916"},{"rel":"revisions","href":"/dashboards/12916/revisions"},{"rel":"revision","href":"/dashboards/12916/revisions/3"},{"rel":"download","href":"/dashboards/12916/revisions/3/download"},{"rel":"org","href":"/orgs/grafana7214"},{"rel":"images","href":"/dashboards/12916/images"},{"rel":"thumbnails","href":"/dashboards/12916/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":22720,"status":1,"statusCode":"active","orgId":1328078,"orgSlug":"yyovkov","orgName":"yyovkov","slug":"windows-host","downloads":291,"revisionId":38486,"revision":3,"name":"Windows Host","description":"Windows minimal dashboard, based on prometheus 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v2...","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-08-24T01:59:46.000Z","updatedAt":"2023-09-04T04:45:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19388"},{"rel":"revisions","href":"/dashboards/19388/revisions"},{"rel":"revision","href":"/dashboards/19388/revisions/1"},{"rel":"download","href":"/dashboards/19388/revisions/1/download"},{"rel":"org","href":"/orgs/alegria2096"},{"rel":"images","href":"/dashboards/19388/images"},{"rel":"thumbnails","href":"/dashboards/19388/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10171,"status":1,"statusCode":"active","orgId":133516,"orgSlug":"runeron","orgName":"Kreditorforeningen (Legacy)","slug":"windows-host-metrics","downloads":6461,"revisionId":14218,"revision":1,"name":"Windows Host Metrics | Base","description":"Basic overview of windows host metrics, based on WMI Exporter (v0.7.0)","readme":"This dashboards gives a basic overview of windows host metrics.\n- Host & Job-filters, based on \"wmi_os_time\" metric\n- Multiple instances can be selected/shown at the same time\n- wmi_exporter [v0.7.0](https://github.com/martinlindhe/wmi_exporter/releases/tag/v0.7.0) was used when creating this dashboard\n\nNOTE:\nOnly tested with a resolution of 1920x1080. The fields/metrics are set to stack vertically when more than 1 node i selected, so you might want to limit the view to only 1 node at a time on lower resolutions","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-05-09T11:58:33.000Z","updatedAt":"2019-06-03T10:43:58.000Z","isEditor":false,"hasLogo":true,"reviewsCount":4,"reviewsAvgRating":2.75,"links":[{"rel":"self","href":"/dashboards/10171"},{"rel":"revisions","href":"/dashboards/10171/revisions"},{"rel":"revision","href":"/dashboards/10171/revisions/1"},{"rel":"download","href":"/dashboards/10171/revisions/1/download"},{"rel":"org","href":"/orgs/runeron"},{"rel":"images","href":"/dashboards/10171/images"},{"rel":"thumbnails","href":"/dashboards/10171/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11745,"status":1,"statusCode":"active","orgId":350836,"orgSlug":"nuclon","orgName":"nuclon","slug":"windows-host-metrics-base-fixed","downloads":1213,"revisionId":16630,"revision":1,"name":"Windows Host Metrics | Base (Fixed)","description":"Basic overview of windows host metrics, based on WMI Exporter (v0.7.0)\nFixed displaying memory metrics.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-02-18T11:37:30.000Z","updatedAt":"2020-02-18T11:38:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11745"},{"rel":"revisions","href":"/dashboards/11745/revisions"},{"rel":"revision","href":"/dashboards/11745/revisions/1"},{"rel":"download","href":"/dashboards/11745/revisions/1/download"},{"rel":"org","href":"/orgs/nuclon"},{"rel":"images","href":"/dashboards/11745/images"},{"rel":"thumbnails","href":"/dashboards/11745/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18640,"status":1,"statusCode":"active","orgId":633020,"orgSlug":"shengyan836","orgName":"shengyan836","slug":"10171-windows-host-metrics-base","downloads":425,"revisionId":28575,"revision":1,"name":"Windows Host Metrics | Base 10171","description":"基于10171模板进行修改的，兼容高版本的windows_exporter。\r\n当前适配版本Grafana9.4.7+windows_exporter-0.22.0-386.exe。","readme":"监控Windows系统。","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-05-01T04:55:13.000Z","updatedAt":"2023-05-01T14:23:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18640"},{"rel":"revisions","href":"/dashboards/18640/revisions"},{"rel":"revision","href":"/dashboards/18640/revisions/1"},{"rel":"download","href":"/dashboards/18640/revisions/1/download"},{"rel":"org","href":"/orgs/shengyan836"},{"rel":"images","href":"/dashboards/18640/images"},{"rel":"thumbnails","href":"/dashboards/18640/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3563,"status":1,"statusCode":"active","orgId":91138,"orgSlug":"rogerw","orgName":"rogerw","slug":"windows-host-overview","downloads":3017,"revisionId":4895,"revision":1,"name":"Windows Host Overview","description":"Windows host dashboard for telegraf metrics pumped into Prometheus","readme":"","collectorType":"Telegraf","collectorConfig":"```\r\n###############################################################################\r\n#                                  INPUTS                                     #\r\n###############################################################################\r\n\r\n[[inputs.win_perf_counters]]\r\n  [[inputs.win_perf_counters.object]]\r\n    # Processor usage, alternative to native, reports on a per core.\r\n    ObjectName = \"Processor\"\r\n    Instances = [\"*\"]\r\n    Counters = [\r\n      \"% Idle Time\",\r\n      \"% Interrupt Time\",\r\n      \"% Privileged Time\",\r\n      \"% User Time\",\r\n      \"% Processor Time\",\r\n      \"% DPC Time\",\r\n    ]\r\n    Measurement = \"win_cpu\"\r\n    # Set to true to include _Total instance when querying for all (*).\r\n    IncludeTotal=true\r\n  \r\n  [[inputs.win_perf_counters.object]]\r\n    # Process metrics, in this case for IIS only\r\n    ObjectName = \"Process\"\r\n    Counters = [\r\n      \"% Processor Time\",\r\n      \"Handle Count\",\r\n      \"Private Bytes\",\r\n      \"Thread Count\",\r\n      \"Virtual Bytes\",\r\n      \"Working Set\"\r\n    ]\r\n    Instances = [\"w3wp\", \"dfmserver\", \"dfmwatchdog\", \"java\", \"httpd\", \"TrendScan\", \"TmListen\", \"CNTAoSMgr\"]\r\n    Measurement = \"win_proc\"\r\n    #IncludeTotal=false #Set to true to include _Total instance when querying for all (*).\r\n\r\n  [[inputs.win_perf_counters.object]]\r\n    # Disk times and queues\r\n    ObjectName = \"LogicalDisk\"\r\n    Instances = [\"*\"]\r\n    Counters = [\r\n      \"% Idle Time\",\r\n      \"% Disk Time\",\r\n      \"% Disk Read Time\",\r\n      \"% Disk Write Time\",\r\n      \"Current Disk Queue Length\",\r\n      \"% Free Space\",\r\n      \"Free Megabytes\",\r\n    ]\r\n    Measurement = \"win_disk\"\r\n    # Set to true to include _Total instance when querying for all (*).\r\n    #IncludeTotal=false\r\n\r\n  [[inputs.win_perf_counters.object]]\r\n    ObjectName = \"PhysicalDisk\"\r\n    Instances = [\"*\"]\r\n    Counters = [\r\n      \"Disk Read Bytes/sec\",\r\n      \"Disk Write Bytes/sec\",\r\n      \"Avg. Disk Queue Length\",\r\n      \"Current Disk Queue Length\",\r\n      \"Avg. Disk sec/Read\",\r\n      \"Avg. Disk sec/Write\",\r\n      \"Split IO/sec\",\r\n    ]\r\n    Measurement = \"win_diskio\"\r\n\r\n  [[inputs.win_perf_counters.object]]\r\n    ObjectName = \"Network Interface\"\r\n    Instances = [\"*\"]\r\n    Counters = [\r\n      \"Bytes Received/sec\",\r\n      \"Bytes Sent/sec\",\r\n      \"Packets Received/sec\",\r\n      \"Packets Sent/sec\",\r\n      \"Packets Received Discarded\",\r\n      \"Packets Outbound Discarded\",\r\n      \"Packets Received Errors\",\r\n      \"Packets Outbound Errors\",\r\n    ]\r\n    Measurement = \"win_net\"\r\n\r\n  [[inputs.win_perf_counters.object]]\r\n    ObjectName = \"System\"\r\n    Counters = [\r\n      \"Threads\",\r\n      \"Processes\",\r\n      \"Context Switches/sec\",\r\n      \"System Calls/sec\",\r\n      \"Processor Queue Length\",\r\n      \"System Up Time\",\r\n    ]\r\n    Instances = [\"------\"]\r\n    Measurement = \"win_system\"\r\n    # Set to true to include _Total instance when querying for all (*).\r\n    #IncludeTotal=false\r\n\r\n  [[inputs.win_perf_counters.object]]\r\n    # Example query where the Instance portion must be removed to get data back,\r\n    # such as from the Memory object.\r\n    ObjectName = \"Memory\"\r\n    Counters = [\r\n      \"Available Bytes\",\r\n      \"Cache Faults/sec\",\r\n      \"Demand Zero Faults/sec\",\r\n      \"Page Faults/sec\",\r\n      \"Pages/sec\",\r\n\t  \"Page Reads/sec\",\r\n      \"Page Writes/sec\",\r\n      \"Transition Faults/sec\",\r\n      \"Pool Nonpaged Bytes\",\r\n      \"Pool Paged Bytes\",\r\n      \"Standby Cache Reserve Bytes\",\r\n      \"Standby Cache Normal Priority Bytes\",\r\n      \"Standby Cache Core Bytes\",\r\n\r\n    ]\r\n    # Use 6 x - to remove the Instance bit from the query.\r\n    Instances = [\"------\"]\r\n    Measurement = \"win_mem\"\r\n    # Set to true to include _Total instance when querying for all (*).\r\n    #IncludeTotal=false\r\n\r\n  [[inputs.win_perf_counters.object]]\r\n    # Example query where the Instance portion must be removed to get data back,\r\n    # such as from the Paging File object.\r\n    ObjectName = \"Paging File\"\r\n    Counters = [\r\n      \"% Usage\",\r\n    ]\r\n    Instances = [\"_Total\"]\r\n    Measurement = \"win_swap\"\r\n```","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-10-26T00:15:44.000Z","updatedAt":"2017-10-26T00:24:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/3563"},{"rel":"revisions","href":"/dashboards/3563/revisions"},{"rel":"revision","href":"/dashboards/3563/revisions/1"},{"rel":"download","href":"/dashboards/3563/revisions/1/download"},{"rel":"org","href":"/orgs/rogerw"},{"rel":"images","href":"/dashboards/3563/images"},{"rel":"thumbnails","href":"/dashboards/3563/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12754,"status":1,"statusCode":"active","orgId":60992,"orgSlug":"itboffin","orgName":"Stephen Renshaw","slug":"windows-host-overview","downloads":366,"revisionId":18359,"revision":1,"name":"Windows Host Overview","description":"Windows host dashboard for telegraf metrics pumped into influxdb","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-08-03T09:52:48.000Z","updatedAt":"2020-08-03T09:53:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12754"},{"rel":"revisions","href":"/dashboards/12754/revisions"},{"rel":"revision","href":"/dashboards/12754/revisions/1"},{"rel":"download","href":"/dashboards/12754/revisions/1/download"},{"rel":"org","href":"/orgs/itboffin"},{"rel":"images","href":"/dashboards/12754/images"},{"rel":"thumbnails","href":"/dashboards/12754/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15652,"status":1,"statusCode":"active","orgId":590543,"orgSlug":"imranjagari","orgName":"imranjagari","slug":"windows-iis-server","downloads":1802,"revisionId":23636,"revision":3,"name":"Windows IIS Server","description":"Windows IIS dashboard based on custom prometheus exporter","readme":"Work on Grafana 8.3.6 with Prometheus 2.32.1 (never tested with other versions)\r\n\r\nMade with his custom windows exporter can be found here : https://github.com/ImranJagari/Prometheus-windows-exporter\r\n\r\nIf you have any bugs or features, don't hesitate to ask it in the issues of the repository.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-01-31T13:27:17.000Z","updatedAt":"2022-02-22T13:56:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15652"},{"rel":"revisions","href":"/dashboards/15652/revisions"},{"rel":"revision","href":"/dashboards/15652/revisions/3"},{"rel":"download","href":"/dashboards/15652/revisions/3/download"},{"rel":"org","href":"/orgs/imranjagari"},{"rel":"images","href":"/dashboards/15652/images"},{"rel":"thumbnails","href":"/dashboards/15652/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13866,"status":1,"statusCode":"active","orgId":296033,"orgSlug":"hakob","orgName":"hakob","slug":"windows-node-with-process-info","downloads":1061,"revisionId":20312,"revision":1,"name":"Windows instance processes info","description":"General stats dashboard with node selector, uses metrics from windows_exporter. Updated now when they are under prometheus-comunity","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-02-11T09:36:25.000Z","updatedAt":"2021-02-11T09:38:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13866"},{"rel":"revisions","href":"/dashboards/13866/revisions"},{"rel":"revision","href":"/dashboards/13866/revisions/1"},{"rel":"download","href":"/dashboards/13866/revisions/1/download"},{"rel":"org","href":"/orgs/hakob"},{"rel":"images","href":"/dashboards/13866/images"},{"rel":"thumbnails","href":"/dashboards/13866/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20946,"status":1,"statusCode":"active","orgId":1109326,"orgSlug":"briangates","orgName":"briangates","slug":"windows-logs","downloads":1247,"revisionId":32524,"revision":1,"name":"Windows logs","description":"Logs for youre windows fleet","readme":"# Windows Fleet Overview and Windows Dashboard Collection\r\n\r\nTo effectively utilize this dashboard collection, you must first install the Grafana Alloy agent. Follow the installation instructions available at [Grafana Alloy Installation Guide](https://grafana.com/docs/alloy/latest/get-started/install/). Additionally, configure your agent using the configuration provided at [Windows Integration Config](https://github.com/brngates98/GrafanaAgents/blob/main/Alloy/windows-integration/config.alloy).\r\n\r\nMake sure you download all the required dashboards for a comprehensive overview:\r\n- **Windows Fleet Overview:** [Dashboard Link](https://grafana.com/grafana/dashboards/20945)\r\n- **Windows Overview:** [Dashboard Link](https://grafana.com/grafana/dashboards/20947)\r\n- **Windows CPU and System:** [Dashboard Link](https://grafana.com/grafana/dashboards/20949)\r\n- **Windows Disks and File Systems:** [Dashboard Link](https://grafana.com/grafana/dashboards/20948)\r\n- **Windows Logs:** [Dashboard Link](https://grafana.com/grafana/dashboards/20946)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2024-04-24T19:05:52.000Z","updatedAt":"2024-04-26T16:55:16.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20946"},{"rel":"revisions","href":"/dashboards/20946/revisions"},{"rel":"revision","href":"/dashboards/20946/revisions/1"},{"rel":"download","href":"/dashboards/20946/revisions/1/download"},{"rel":"org","href":"/orgs/briangates"},{"rel":"images","href":"/dashboards/20946/images"},{"rel":"thumbnails","href":"/dashboards/20946/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":18162,"status":1,"statusCode":"active","orgId":626646,"orgSlug":"shiftsystems","orgName":"shiftsystems","slug":"windows-metrics","downloads":581,"revisionId":27896,"revision":1,"name":"Windows Metrics","description":"Uses Telegraf, Victoriametrics, and Loki to display metrics and logs from a windows systems used by shift-mon","readme":"this Dashboard Shows Service status, Resource Usage, and Defend stats from windows. If you need help installing an observability stack or telegraf please reference our gitlab repo\r\n\r\nhttps://gitlab.com/shiftsystems/shift-rmm/","collectorType":"Telegraf","collectorConfig":"[agent]\r\n  interval = \"10s\"\r\n  round_interval = true\r\n  metric_batch_size = 1000\r\n  metric_buffer_limit = 10000\r\n  collection_jitter = \"0s\"\r\n  flush_interval = \"10s\"\r\n  flush_jitter = \"0s\"\r\n  precision = \"\"\r\n  debug = false\r\n  quiet = false\r\n  logfile = \"/Windows/Temp/telegraf.log\"\r\n  hostname = \"\"\r\n  omit_hostname = false\r\n[[ outputs.influxdb]] \r\n  urls = [\"$victoria_url\"]\r\n  username = \"$victoria_user\"\r\n  password = \"$victoria_password\"\r\n  database = \"windows\"\r\n  namepass = [\"cpu\",\"disk\",\"diskio\",\"mem\",\"net\",\"swap\",\"system\",\"win_perf_counters\",\"win_services\"]\r\n  insecure_skip_verify = true\r\n[[ outputs.loki]]\r\n  domain = \"$loki_url\"\r\n  username = \"$loki_user\"\r\n  password = \"$loki_password\"\r\n  namepass = [\"tail*\",\"systemd_units\",\"exec*\",\"win_eventlog\"]\r\n  gzip_request = true\r\n  insecure_skip_verify = true\r\n[[inputs.cpu]]\r\n  percpu = false\r\n  totalcpu = true\r\n  collect_cpu_time = false\r\n  report_active = false\r\n[[inputs.disk]]\r\n  ignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"overlay\", \"aufs\", \"squashfs\",\"CDFS\"]\r\n[[inputs.diskio]]\r\n[[inputs.mem]]\r\n[[inputs.net]]\r\n[[inputs.swap]]\r\n[[inputs.system]]\r\n[[inputs.win_services]]\r\n[[inputs.exec]]\r\n  commands = ['''powershell.exe -command \"Get-WmiObject -class Win32_OperatingSystem | Select-Object Caption,Version | ConvertTo-CSV | Write-Host\"''']\r\n  data_format = \"csv\"\r\n  csv_skip_rows = 1\r\n  csv_header_row_count = 1\r\n  name_suffix = \"_win_ver\"\r\n  interval = \"5m\"\r\n","collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2023-02-24T05:04:20.000Z","updatedAt":"2023-02-25T14:01:34.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18162"},{"rel":"revisions","href":"/dashboards/18162/revisions"},{"rel":"revision","href":"/dashboards/18162/revisions/1"},{"rel":"download","href":"/dashboards/18162/revisions/1/download"},{"rel":"org","href":"/orgs/shiftsystems"},{"rel":"images","href":"/dashboards/18162/images"},{"rel":"thumbnails","href":"/dashboards/18162/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":21032,"status":1,"statusCode":"active","orgId":918047,"orgSlug":"d19akash","orgName":"d19akash","slug":"windows-monitoring","downloads":822,"revisionId":34025,"revision":3,"name":"Windows Monitoring","description":"This Grafana dashboard offers a detailed overview of the performance and resource utilization of Windows nodes in a Kubernetes cluster. It includes metrics for CPU, memory, storage, and network usage at the node, namespace, and pod levels, facilitating efficient monitoring and troubleshooting.","readme":"The provided Grafana dashboard offers a detailed and comprehensive view of the performance and resource utilization of your Windows nodes in a Kubernetes cluster. Here's a more precise description of each section:\r\n\r\n1. Headlines: This section provides a high-level snapshot of the Namespace, including metrics such as CPU Utilization, Memory Utilization, CPU Requests and Limits, and Memory Requests and Limits.\r\n\r\n2. CPU Utilization - Nodes: This section displays the CPU utilization for each node in the cluster, helping you understand the extent of CPU resource usage and identify nodes that might be under heavy load.\r\n\r\n3. CPU Utilization & Quota - Namespaces: This section presents the CPU utilization and quota for each namespace, helping you understand the CPU resources consumed by each namespace and identify any namespaces that are nearing their quota. This includes metrics for CPU usage, requests, and limits. Additionally, it provides metrics for maximum and average CPU utilization, offering a more comprehensive view of CPU usage patterns.\r\n\r\n4. CPU Utilization & Quota - Pods: This section displays the CPU utilization and quota for each pod, helping you understand the CPU resources consumed by each pod and identify any pods that are nearing their quota. This includes metrics for CPU usage, requests, and limits.\r\n\r\n5. Memory Utilization & Saturation - Nodes: This section presents the memory utilization and saturation for each node, helping you understand the extent of memory resource usage and identify nodes that might be running out of memory. This includes metrics for memory used, available, and freed.\r\n\r\n6. Memory Utilization & Quota - Namespaces: This section displays the memory utilization and quota for each namespace, helping you understand the memory resources consumed by each namespace and identify any namespaces that are nearing their quota. This includes metrics for memory usage, requests, and limits. Additionally, it provides metrics for maximum and average memory usage, offering a more comprehensive view of memory usage patterns.\r\n\r\n7. Memory Utilization & Quota - Pods: This section presents the memory utilization and quota for each pod, helping you understand the memory resources consumed by each pod and identify any pods that are nearing their quota.\r\n\r\n8. Storage - Nodes: This section displays the storage usage for each node, helping you understand the extent of storage resource usage and identify nodes that might be running out of storage. This includes metrics for disk capacity, disk I/O utilization, and disk I/O read/write operations.\r\n\r\n9. Network - Nodes: This section presents the network usage for each node, helping you understand the extent of network resource usage and identify nodes that might be experiencing high network traffic. This includes metrics for network transmitted and dropped packets.\r\n\r\n10. Network I/O - Pods: This section displays the network input/output for each pod, helping you understand the extent of network traffic generated or consumed by each pod. This includes metrics for network transmitted and dropped packets.\r\n\r\nThis dashboard provides a comprehensive view of your cluster's performance and resource utilization, making it easier to monitor and troubleshoot issues. To visualize all the panels present in the dashboard, it's crucial to use the Windows Exporter, as it provides the necessary metrics for monitoring and troubleshooting.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-05-06T17:02:18.000Z","updatedAt":"2024-08-21T07:12:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21032"},{"rel":"revisions","href":"/dashboards/21032/revisions"},{"rel":"revision","href":"/dashboards/21032/revisions/3"},{"rel":"download","href":"/dashboards/21032/revisions/3/download"},{"rel":"org","href":"/orgs/d19akash"},{"rel":"images","href":"/dashboards/21032/images"},{"rel":"thumbnails","href":"/dashboards/21032/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2129,"status":1,"statusCode":"active","orgId":58514,"orgSlug":"ecto","orgName":"ecto","slug":"windows-node","downloads":19253,"revisionId":2810,"revision":3,"name":"Windows Node","description":"General stats dashboard with node selector, uses metrics from wmi_exporter","readme":"Uses metrics from https://github.com/martinlindhe/wmi_exporter\r\n\r\nFeatures:\r\n* Node selector\r\n* Summary CPU load\r\n* Memory stats\r\n* Network load\r\n* Hard disks usage\r\n* Service state summary\r\n\r\nPrometheus config:\r\n\r\n```\r\n\r\n  - job_name: 'win-exporter'\r\n    static_configs:\r\n      - targets: ['192.168.0.1:9182']\r\n\r\n```\r\n\r\n`192.168.0.1` - Windows node where wmi_exporter is installed\r\n\r\nUse `['192.168.0.1:9182', '192.168.0.2:9182']` for multiple hosts\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-04-28T15:59:01.000Z","updatedAt":"2017-04-28T17:47:25.000Z","isEditor":false,"hasLogo":true,"reviewsCount":8,"reviewsAvgRating":3.75,"links":[{"rel":"self","href":"/dashboards/2129"},{"rel":"revisions","href":"/dashboards/2129/revisions"},{"rel":"revision","href":"/dashboards/2129/revisions/3"},{"rel":"download","href":"/dashboards/2129/revisions/3/download"},{"rel":"org","href":"/orgs/ecto"},{"rel":"images","href":"/dashboards/2129/images"},{"rel":"thumbnails","href":"/dashboards/2129/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6593,"status":1,"statusCode":"active","orgId":160718,"orgSlug":"frenkye","orgName":"Jakub Pinkas","slug":"windows-node","downloads":6834,"revisionId":23773,"revision":3,"name":"Windows Node","description":"General stats dashboard with node selector, uses metrics from wmi_exporter","readme":"This is reworked Windows Node (credit to them), but for our use case it wasn't enought, I edit few things and add process info (not enabled by default in wmi_exporter!!!).\r\n\r\nUpdate 9.2. 2022\r\n* added new graph cpu per core\r\n* added net graphs\r\n* added disk graphs\r\n* updated quick info\r\n* removed $interval var and switched to $__rate_interval\r\n\r\nWaiting for reintroduce negative-Y which should be in grafana 8.4, to convert rest of old graphs.\r\n\r\nHope you like it!","collectorType":"Other","collectorConfig":"Create new service, which expect exe in C:\\prometheus\\windows_exporter.exe\r\n```\r\nNew-Service -name Windows_exporter -displayName Windows_Exporter -binaryPathName \"`\"C:\\\\prometheus\\\\windows_exporter.exe`\" --collectors.enabled=`\"cpu,cs,logical_disk,net,os,service,system,textfile,tcp,process`\" --collector.textfile.directory=`\"C:\\\\prometheus\\\\textfile_inputs`\"\"\r\n```","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-06-21T08:59:20.000Z","updatedAt":"2022-02-09T14:07:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/6593"},{"rel":"revisions","href":"/dashboards/6593/revisions"},{"rel":"revision","href":"/dashboards/6593/revisions/3"},{"rel":"download","href":"/dashboards/6593/revisions/3/download"},{"rel":"org","href":"/orgs/frenkye"},{"rel":"images","href":"/dashboards/6593/images"},{"rel":"thumbnails","href":"/dashboards/6593/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":6545,"status":1,"statusCode":"active","orgId":113592,"orgSlug":"cdn77com","orgName":"cdn77com","slug":"windows-node","downloads":1321,"revisionId":9137,"revision":5,"name":"Windows Node","description":"Enhanced and updated windows node dashboard","readme":"expansion on original (dashboards/2129) by ecto. Added quick panels for machine performance overview, new panels for hdd and cpu","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-06-18T11:41:22.000Z","updatedAt":"2018-06-28T11:20:43.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/6545"},{"rel":"revisions","href":"/dashboards/6545/revisions"},{"rel":"revision","href":"/dashboards/6545/revisions/5"},{"rel":"download","href":"/dashboards/6545/revisions/5/download"},{"rel":"org","href":"/orgs/cdn77com"},{"rel":"images","href":"/dashboards/6545/images"},{"rel":"thumbnails","href":"/dashboards/6545/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13196,"status":1,"statusCode":"active","orgId":427274,"orgSlug":"omerha","orgName":"Omer Haim","slug":"windows-node","downloads":655,"revisionId":22158,"revision":5,"name":"Windows Node","description":"General stats dashboard with node selector, uses metrics from wmi_exporter","readme":"Running on target hosts the msi for windows_exporter\r\n\r\nhttps://github.com/prometheus-community/windows_exporter/releases/tag/v0.16.0\r\n\r\nDisplays:\r\nCPU, Memory, Disk, Network, Thermal\r\n\r\nMake sure when you install the exporter to enable thermals\r\n\r\n```\r\nmsiexec /i C:\\Users\\Administrator\\Downloads\\windows_exporter.msi ENABLED_COLLECTORS=\"[defaults],memory,thermalzone\"\r\n```\r\nAnd display them in couple on nice ways","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-18T08:29:48.000Z","updatedAt":"2021-08-13T16:09:57.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13196"},{"rel":"revisions","href":"/dashboards/13196/revisions"},{"rel":"revision","href":"/dashboards/13196/revisions/5"},{"rel":"download","href":"/dashboards/13196/revisions/5/download"},{"rel":"org","href":"/orgs/omerha"},{"rel":"images","href":"/dashboards/13196/images"},{"rel":"thumbnails","href":"/dashboards/13196/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22328,"status":1,"statusCode":"active","orgId":1276439,"orgSlug":"mdorfman2013","orgName":"mdorfman2013","slug":"windows-node","downloads":251,"revisionId":35075,"revision":1,"name":"Windows Node","description":"General stats dashboard with node selector, uses metrics from wmi_exporter","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"filesystem, conntrack, cpu, diskstats, loadavg, meminfo, filefd","datasource":"Prometheus","privacy":"public","createdAt":"2024-11-17T04:02:34.000Z","updatedAt":"2024-11-17T04:11:29.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22328"},{"rel":"revisions","href":"/dashboards/22328/revisions"},{"rel":"revision","href":"/dashboards/22328/revisions/1"},{"rel":"download","href":"/dashboards/22328/revisions/1/download"},{"rel":"org","href":"/orgs/mdorfman2013"},{"rel":"images","href":"/dashboards/22328/images"},{"rel":"thumbnails","href":"/dashboards/22328/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12422,"status":1,"statusCode":"active","orgId":390336,"orgSlug":"gerard3","orgName":"gerard3","slug":"windows-node","downloads":110421,"revisionId":17811,"revision":1,"name":"Windows Node (fixed for v0.13.0+)","description":"General stats dashboard with node selector, uses metrics from windows_exporter.","readme":"This is a copy of dashboard 2129.\n\nStarting at v0.13.0 the wmi_exporter was renamed to windows_exporter and all the measurements are now prefixed with windows_ instead of wmi_.\n\nThis dashboard uses the windows_ instead of wmi_ prefix, but is otherwise an exact copy of 2129.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-06-08T14:13:03.000Z","updatedAt":"2020-06-08T14:17:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/12422"},{"rel":"revisions","href":"/dashboards/12422/revisions"},{"rel":"revision","href":"/dashboards/12422/revisions/1"},{"rel":"download","href":"/dashboards/12422/revisions/1/download"},{"rel":"org","href":"/orgs/gerard3"},{"rel":"images","href":"/dashboards/12422/images"},{"rel":"thumbnails","href":"/dashboards/12422/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":8781,"status":1,"statusCode":"active","orgId":207963,"orgSlug":"jqueuniet","orgName":"Johann Queuniet","slug":"windows-node","downloads":1180,"revisionId":12072,"revision":1,"name":"Windows Node (fixed)","description":"General stats dashboard with node selector, uses metrics from wmi_exporter","readme":"Forked from https://grafana.com/dashboards/2129 (Window Node) to fix some formatting","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-11-03T20:12:22.000Z","updatedAt":"2018-11-03T20:16:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/8781"},{"rel":"revisions","href":"/dashboards/8781/revisions"},{"rel":"revision","href":"/dashboards/8781/revisions/1"},{"rel":"download","href":"/dashboards/8781/revisions/1/download"},{"rel":"org","href":"/orgs/jqueuniet"},{"rel":"images","href":"/dashboards/8781/images"},{"rel":"thumbnails","href":"/dashboards/8781/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19269,"status":1,"statusCode":"active","orgId":910388,"orgSlug":"rmrustem","orgName":"rmrustem","slug":"windows-node","downloads":2957,"revisionId":29546,"revision":1,"name":"Windows Node All","description":"Windows Exporter metrics","readme":"This dashboards includes panels for almost all internal Prometheus metrics.\r\n\r\nTested on Prometheus 2.44.0\r\n\r\nSource code is available on https://github.com/Raiffeisen-DGTL/observability\r\n\r\n\r\nThis dashboard includes panels with lots of metrics collected by [Window Exporter](https://github.com/prometheus-community/windows_exporter). It is largely influenced by [Node Exporter Full dashboard](https://grafana.com/grafana/dashboards/1860-node-exporter-full/) and tries to create a unified approach for observing host metrics for both Linux and Windows.\r\n\r\nTested on windows-exporter v. 0.20.0 with the following collectors enabled:\r\n* cpu\r\n* cs\r\n* logical_disk\r\n* memory\r\n* net\r\n* os\r\n* system\r\n* tcp\r\n* time\r\n\r\nSource code is available on https://github.com/Raiffeisen-DGTL/observability","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-08-01T17:21:58.000Z","updatedAt":"2023-08-01T17:30:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19269"},{"rel":"revisions","href":"/dashboards/19269/revisions"},{"rel":"revision","href":"/dashboards/19269/revisions/1"},{"rel":"download","href":"/dashboards/19269/revisions/1/download"},{"rel":"org","href":"/orgs/rmrustem"},{"rel":"images","href":"/dashboards/19269/images"},{"rel":"thumbnails","href":"/dashboards/19269/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15620,"status":1,"statusCode":"active","orgId":593843,"orgSlug":"sarinthonm","orgName":"sarinthonm","slug":"windows-node-exporter","downloads":2773,"revisionId":23581,"revision":3,"name":"Windows Node Exporter","description":"Use for analysis data that use for server performance testing","readme":"### Prerequisites\r\n- [Prometheus](https://prometheus.io/)\r\n- [Windows exporter](https://github.com/prometheus-community/windows_exporter)\r\n\r\n### How to install windows_exporter\r\nAfter you download installer file. You can run command as below\r\n```bash\r\nmsiexec /i windows_exporter-0.17.1-386.msi ENABLED_COLLECTORS=\"ad,adfs,cache,cpu,cpu_info,cs,container,dfsr,dhcp,dns,fsrmquota,logical_disk,logon,memory,msmq,mssql,netframework_clrexceptions,netframework_clrinterop,netframework_clrjit,netframework_clrloading,netframework_clrlocksandthreads,netframework_clrmemory,netframework_clrremoting,netframework_clrsecurity,net,os,process,remote_fx,service,tcp,time,vmware\" TEXTFILE_DIR=\"C:\\custom_metrics\" LISTEN_PORT=\"9182\"\r\n```\r\n\r\nwhen completes. Command will create service on Windows and you can look data that use \"http://localhost:9182\" and add IP and port to \"promethus.yml\" and then restart prometheus.","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-01-26T12:26:03.000Z","updatedAt":"2022-01-26T13:25:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15620"},{"rel":"revisions","href":"/dashboards/15620/revisions"},{"rel":"revision","href":"/dashboards/15620/revisions/3"},{"rel":"download","href":"/dashboards/15620/revisions/3/download"},{"rel":"org","href":"/orgs/sarinthonm"},{"rel":"images","href":"/dashboards/15620/images"},{"rel":"thumbnails","href":"/dashboards/15620/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18699,"status":1,"statusCode":"active","orgId":805639,"orgSlug":"agungsurya","orgName":"agungsurya","slug":"windows-node-exporter-full-1","downloads":617,"revisionId":28682,"revision":1,"name":"Windows Node Exporter ","description":"a beautiful windows server exporter dashboard, edited from node exporter full","readme":"`windows exporter used` [windows exporter link](https://github.com/prometheus-community/windows_exporter) \r\n https://github.com/prometheus-community/windows_exporter\r\n\r\nplease login an give me a stars\r\n\r\nadd windows exporter \r\n\r\n```\r\n  - job_name: windows\r\n    scrape_interval: 10s\r\n    static_configs:\r\n    - targets:\r\n      - localhost:9182\r\n```\r\n\r\n[github agungsurya](https://github.com/agungsoboru/windows-exporter-dashboard-grafana)","collectorType":"nodeExporter","collectorConfig":"","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-05-09T05:21:44.000Z","updatedAt":"2023-05-09T05:32:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18699"},{"rel":"revisions","href":"/dashboards/18699/revisions"},{"rel":"revision","href":"/dashboards/18699/revisions/1"},{"rel":"download","href":"/dashboards/18699/revisions/1/download"},{"rel":"org","href":"/orgs/agungsurya"},{"rel":"images","href":"/dashboards/18699/images"},{"rel":"thumbnails","href":"/dashboards/18699/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14499,"status":1,"statusCode":"active","orgId":502485,"orgSlug":"nicolaelupei1996","orgName":"nicolaelupei1996","slug":"windows-node","downloads":5149,"revisionId":21462,"revision":1,"name":"Windows Node Exporter for prometheus-windows-exporter.install","description":"General stats dashboard with node selector, uses metrics from prometheus-windows-exporter.install","readme":"Uses metrics from [windows_exporter](https://github.com/prometheus-community/windows_exporter)\n\nFeatures:\n\n- Node selector\n- Summary CPU load\n- Memory stats\n- Network load\n- Hard disks usage\n- Service state summary\nPrometheus config:\n```yml\n- job_name: 'win-exporter'\n    static_configs:\n      - targets: ['192.168.0.1:9182']\n```\n`192.168.0.1` - Windows node where windows_exporter is installed\n\nUse `['192.168.0.1:9182', '192.168.0.2:9182']` for multiple hosts\n\nInstall windows-exporter with [choco](https://community.chocolatey.org/packages/prometheus-windows-exporter.install)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-05-27T15:00:24.000Z","updatedAt":"2021-05-27T15:12:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14499"},{"rel":"revisions","href":"/dashboards/14499/revisions"},{"rel":"revision","href":"/dashboards/14499/revisions/1"},{"rel":"download","href":"/dashboards/14499/revisions/1/download"},{"rel":"org","href":"/orgs/nicolaelupei1996"},{"rel":"images","href":"/dashboards/14499/images"},{"rel":"thumbnails","href":"/dashboards/14499/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22498,"status":1,"statusCode":"active","orgId":565467,"orgSlug":"junguevarra","orgName":"junguevarra","slug":"windows-node-exporter-for-prometheus-windows-exporter-install","downloads":419,"revisionId":35364,"revision":1,"name":"Windows Node Exporter for prometheus-windows-exporter.install","description":"General stats dashboard with node selector, uses metrics from prometheus-windows-exporter.install","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-12-10T05:44:54.000Z","updatedAt":"2024-12-10T05:45:13.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22498"},{"rel":"revisions","href":"/dashboards/22498/revisions"},{"rel":"revision","href":"/dashboards/22498/revisions/1"},{"rel":"download","href":"/dashboards/22498/revisions/1/download"},{"rel":"org","href":"/orgs/junguevarra"},{"rel":"images","href":"/dashboards/22498/images"},{"rel":"thumbnails","href":"/dashboards/22498/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13832,"status":1,"statusCode":"active","orgId":296033,"orgSlug":"hakob","orgName":"hakob","slug":"windows-node1","downloads":474,"revisionId":20240,"revision":1,"name":"Windows Nodes","description":"General stats dashboard with node selector, uses metrics from windows_exporter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-02-04T13:31:06.000Z","updatedAt":"2021-02-04T13:34:52.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13832"},{"rel":"revisions","href":"/dashboards/13832/revisions"},{"rel":"revision","href":"/dashboards/13832/revisions/1"},{"rel":"download","href":"/dashboards/13832/revisions/1/download"},{"rel":"org","href":"/orgs/hakob"},{"rel":"images","href":"/dashboards/13832/images"},{"rel":"thumbnails","href":"/dashboards/13832/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":1941,"status":1,"statusCode":"active","orgId":44845,"orgSlug":"adejoux","orgName":"adejoux","slug":"windows-overview","downloads":4946,"revisionId":2583,"revision":1,"name":"Windows Overview","description":"Windows metrics Dashboard using telegraf","readme":"A dashboard using Telegraf and the Windows Performance Counters to display windows performance metrics. ","collectorType":"Telegraf","collectorConfig":"````\r\n# Telegraf configuration\r\n[global_tags]\r\n[agent]\r\n  interval = \"10s\"\r\n  round_interval = true\r\n\r\n  metric_buffer_limit = 1000\r\n  flush_buffer_when_full = true\r\n  collection_jitter = \"0s\"\r\n\r\n  flush_interval = \"10s\"\r\n  flush_jitter = \"0s\"\r\n\r\n  debug = false\r\n  quiet = false\r\n  logfile = \"/Program Files/Telegraf/telegraf.log\"\r\n\r\n  hostname = \"\"\r\n\r\n\r\n###############################################################################\r\n#                                  OUTPUTS                                    #\r\n###############################################################################\r\n\r\n# Configuration for influxdb server to send metrics to\r\n[[outputs.influxdb]]\r\n  urls = [\"http://influxserver:8086\"] # required\r\n  database = \"telegraf\"\r\n  precision = \"s\"\r\n  timeout = \"5s\"\r\n\r\n###############################################################################\r\n#                                  INPUTS                                                                                                               #\r\n###############################################################################\r\n\r\n# Windows Performance Counters plugin.\r\n# See more configuration examples at:\r\n#   https://github.com/influxdata/telegraf/tree/master/plugins/inputs/win_perf_counters\r\n\r\n[[inputs.win_perf_counters]]\r\n  PrintValid = false\r\n  [[inputs.win_perf_counters.object]]\r\n    # Processor usage, alternative to native, reports on a per core.\r\n    ObjectName = \"Processor\"\r\n    Instances = [\"*\"]\r\n    Counters = [\r\n      \"% Idle Time\",\r\n      \"% Interrupt Time\",\r\n      \"% Privileged Time\",\r\n      \"% User Time\",\r\n      \"% Processor Time\",\r\n    ]\r\n    Measurement = \"win_cpu\"\r\n    # Set to true to include _Total instance when querying for all (*).\r\n    #IncludeTotal=false\r\n    \r\n    [[inputs.win_perf_counters.object]]\r\n      # Disk times and queues\r\n      ObjectName = \"LogicalDisk\"\r\n      Instances = [\"*\"]\r\n      Counters = [\r\n        \"% Idle Time\", \"% Disk Time\",\"% Disk Read Time\",\r\n        \"% Disk Write Time\", \"% User Time\", \"Current Disk Queue Length\"\r\n      ]    \r\n      Measurement = \"win_disk\"\r\n\r\n    [[inputs.win_perf_counters.object]]\r\n      # Disk times and queues\r\n      ObjectName = \"PhysicalDisk\"\r\n      Instances = [\"*\"]\r\n      Counters = [\r\n        \"Disk Read Bytes/sec\",\r\n\t\"Disk Write Bytes/sec\",\r\n\t\"Avg. Disk Queue Length\",\r\n\t\"Current Disk Queue Length\",\r\n\t\"Avg. Disk sec/Read\",\r\n\t\"Avg. Disk sec/Write\",\r\n\t\"Split IO/sec\",\r\n      ]\r\n      Measurement = \"win_physdisk\"\r\n      # Set to true to include _Total instance when querying for all (*).\r\n      #IncludeTotal=false\r\n\r\n    [[inputs.win_perf_counters.object]]\r\n      # Disk times and queues\r\n      ObjectName = \"Network Interface\"\r\n      Instances = [\"*\"]\r\n      Counters = [\r\n        \"Bytes Received/sec\",\r\n\t\"Bytes Sent/sec\",\r\n\t\"Packets Sent/sec\",\r\n\t\"Packets Received/sec\",\r\n      ]\r\n      Measurement = \"win_net\"\r\n      # Set to true to include _Total instance when querying for all (*).\r\n      #IncludeTotal=false\r\n\r\n  [[inputs.win_perf_counters.object]]\r\n    ObjectName = \"System\"\r\n    Counters = [\r\n      \"Context Switches/sec\",\r\n      \"System Calls/sec\",\r\n      \"Processor Queue Length\",\r\n    ]\r\n    Instances = [\"------\"]\r\n    Measurement = \"win_system\"\r\n    # Set to true to include _Total instance when querying for all (*).\r\n    #IncludeTotal=false\r\n\r\n  [[inputs.win_perf_counters.object]]\r\n    # Example query where the Instance portion must be removed to get data back,\r\n    # such as from the Memory object.\r\n    ObjectName = \"Memory\"\r\n    Counters = [\r\n      \"Available Bytes\",\r\n      \"Cache Faults/sec\",\r\n      \"Demand Zero Faults/sec\",\r\n      \"Page Faults/sec\",\r\n      \"Pages/sec\",\r\n\t \"Page Reads/sec\",\r\n\t \"Page Writes/sec\",\r\n      \"Transition Faults/sec\",\r\n      \"Pool Nonpaged Bytes\",\r\n      \"Pool Paged Bytes\",\r\n\t \"Cache Bytes\",\r\n    ]\r\n    # Use 6 x - to remove the Instance bit from the query.\r\n    Instances = [\"------\"]\r\n    Measurement = \"win_mem\"\r\n    # Set to true to include _Total instance when querying for all (*).\r\n    #IncludeTotal=false\r\n````","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-04-10T15:12:26.000Z","updatedAt":"2017-04-11T13:36:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/1941"},{"rel":"revisions","href":"/dashboards/1941/revisions"},{"rel":"revision","href":"/dashboards/1941/revisions/1"},{"rel":"download","href":"/dashboards/1941/revisions/1/download"},{"rel":"org","href":"/orgs/adejoux"},{"rel":"images","href":"/dashboards/1941/images"},{"rel":"thumbnails","href":"/dashboards/1941/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":20947,"status":1,"statusCode":"active","orgId":1109326,"orgSlug":"briangates","orgName":"briangates","slug":"windows-overview","downloads":805,"revisionId":32525,"revision":1,"name":"Windows overview","description":"Overview of a windows host","readme":"# Windows Fleet Overview and Windows Dashboard Collection\r\n\r\nTo effectively utilize this dashboard collection, you must first install the Grafana Alloy agent. Follow the installation instructions available at [Grafana Alloy Installation Guide](https://grafana.com/docs/alloy/latest/get-started/install/). Additionally, configure your agent using the configuration provided at [Windows Integration Config](https://github.com/brngates98/GrafanaAgents/blob/main/Alloy/windows-integration/config.alloy).\r\n\r\nMake sure you download all the required dashboards for a comprehensive overview:\r\n- **Windows Fleet Overview:** [Dashboard Link](https://grafana.com/grafana/dashboards/20945)\r\n- **Windows Overview:** [Dashboard Link](https://grafana.com/grafana/dashboards/20947)\r\n- **Windows CPU and System:** [Dashboard Link](https://grafana.com/grafana/dashboards/20949)\r\n- **Windows Disks and File Systems:** [Dashboard Link](https://grafana.com/grafana/dashboards/20948)\r\n- **Windows Logs:** [Dashboard Link](https://grafana.com/grafana/dashboards/20946)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2024-04-24T19:07:56.000Z","updatedAt":"2024-04-26T16:55:26.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20947"},{"rel":"revisions","href":"/dashboards/20947/revisions"},{"rel":"revision","href":"/dashboards/20947/revisions/1"},{"rel":"download","href":"/dashboards/20947/revisions/1/download"},{"rel":"org","href":"/orgs/briangates"},{"rel":"images","href":"/dashboards/20947/images"},{"rel":"thumbnails","href":"/dashboards/20947/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":21696,"status":1,"statusCode":"active","orgId":584994,"orgSlug":"dschunack","orgName":"dschunack","slug":"windows-resources-pods","downloads":35664,"revisionId":33953,"revision":1,"name":"Windows Resources Pods","description":"Resource usage of Windows Containers/Pods in k8s","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-08-15T08:09:16.000Z","updatedAt":"2024-08-15T08:12:00.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21696"},{"rel":"revisions","href":"/dashboards/21696/revisions"},{"rel":"revision","href":"/dashboards/21696/revisions/1"},{"rel":"download","href":"/dashboards/21696/revisions/1/download"},{"rel":"org","href":"/orgs/dschunack"},{"rel":"images","href":"/dashboards/21696/images"},{"rel":"thumbnails","href":"/dashboards/21696/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11515,"status":1,"statusCode":"active","orgId":167298,"orgSlug":"joserf","orgName":"Jose Rodrigues Filho","slug":"windows-server","downloads":7190,"revisionId":16456,"revision":2,"name":"Windows Server","description":"Windows","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-06T16:37:31.000Z","updatedAt":"2020-01-28T18:35:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":3.5,"links":[{"rel":"self","href":"/dashboards/11515"},{"rel":"revisions","href":"/dashboards/11515/revisions"},{"rel":"revision","href":"/dashboards/11515/revisions/2"},{"rel":"download","href":"/dashboards/11515/revisions/2/download"},{"rel":"org","href":"/orgs/joserf"},{"rel":"images","href":"/dashboards/11515/images"},{"rel":"thumbnails","href":"/dashboards/11515/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21404,"status":1,"statusCode":"active","orgId":1160074,"orgSlug":"walker1","orgName":"walker1","slug":"windows-server","downloads":341,"revisionId":33328,"revision":1,"name":"Windows Server","description":"Windows","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-27T17:21:35.000Z","updatedAt":"2024-06-27T17:21:50.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21404"},{"rel":"revisions","href":"/dashboards/21404/revisions"},{"rel":"revision","href":"/dashboards/21404/revisions/1"},{"rel":"download","href":"/dashboards/21404/revisions/1/download"},{"rel":"org","href":"/orgs/walker1"},{"rel":"images","href":"/dashboards/21404/images"},{"rel":"thumbnails","href":"/dashboards/21404/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20978,"status":1,"statusCode":"active","orgId":1113149,"orgSlug":"yfht","orgName":"yfht","slug":"windows-server","downloads":253,"revisionId":32586,"revision":1,"name":"Windows Server","description":"Windows","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-04-29T19:51:47.000Z","updatedAt":"2024-04-29T19:53:01.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20978"},{"rel":"revisions","href":"/dashboards/20978/revisions"},{"rel":"revision","href":"/dashboards/20978/revisions/1"},{"rel":"download","href":"/dashboards/20978/revisions/1/download"},{"rel":"org","href":"/orgs/yfht"},{"rel":"images","href":"/dashboards/20978/images"},{"rel":"thumbnails","href":"/dashboards/20978/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21203,"status":1,"statusCode":"active","orgId":1138910,"orgSlug":"jeffreycoburn","orgName":"jeffreycoburn","slug":"windows-server","downloads":473,"revisionId":32990,"revision":1,"name":"Windows Server","description":"Provides metrics about a single Windows Server from a Prometheus datasource collected with windows_exporter","readme":"This dashboard provides metrics about a single Windows Server. It relies on data collected by [Prometheus](https://prometheus.io/) using [windows_exporter](https://github.com/prometheus-community/windows_exporter).\r\n\r\n- The server can be selected from the drop down at the top\r\n- It uses [rate](https://prometheus.io/docs/prometheus/latest/querying/functions/#rate) instead of [irate](https://prometheus.io/docs/prometheus/latest/querying/functions/#irate)\r\n  - It doesn't seem like this should be necessary to mention, but every other community dashboard I looked at uses [irate](https://prometheus.io/docs/prometheus/latest/querying/functions/#irate)\r\n  - References:\r\n     - [https://grafana.com/blog/2020/09/28/new-in-grafana-7.2-__rate_interval-for-prometheus-rate-queries-that-just-work/](https://grafana.com/blog/2020/09/28/new-in-grafana-7.2-__rate_interval-for-prometheus-rate-queries-that-just-work/)\r\n     - [https://utcc.utoronto.ca/~cks/space/blog/sysadmin/PrometheusRateVsIrate](https://utcc.utoronto.ca/~cks/space/blog/sysadmin/PrometheusRateVsIrate)\r\n\r\nMore detailed info: [GitHub repo](https://github.com/colostate-hds/grafana)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-03T22:54:06.000Z","updatedAt":"2024-06-03T23:26:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21203"},{"rel":"revisions","href":"/dashboards/21203/revisions"},{"rel":"revision","href":"/dashboards/21203/revisions/1"},{"rel":"download","href":"/dashboards/21203/revisions/1/download"},{"rel":"org","href":"/orgs/jeffreycoburn"},{"rel":"images","href":"/dashboards/21203/images"},{"rel":"thumbnails","href":"/dashboards/21203/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20325,"status":1,"statusCode":"active","orgId":259534,"orgSlug":"jeromeh","orgName":"jeromeh","slug":"windows-server","downloads":291,"revisionId":31331,"revision":1,"name":"Windows Server","description":"Windows","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-01-17T23:45:16.000Z","updatedAt":"2024-01-17T23:46:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20325"},{"rel":"revisions","href":"/dashboards/20325/revisions"},{"rel":"revision","href":"/dashboards/20325/revisions/1"},{"rel":"download","href":"/dashboards/20325/revisions/1/download"},{"rel":"org","href":"/orgs/jeromeh"},{"rel":"images","href":"/dashboards/20325/images"},{"rel":"thumbnails","href":"/dashboards/20325/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20036,"status":1,"statusCode":"active","orgId":596556,"orgSlug":"ocaamano","orgName":"ocaamano","slug":"windows-server","downloads":426,"revisionId":30799,"revision":1,"name":"Windows Server","description":"Windows","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-23T19:37:04.000Z","updatedAt":"2023-11-23T19:37:37.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20036"},{"rel":"revisions","href":"/dashboards/20036/revisions"},{"rel":"revision","href":"/dashboards/20036/revisions/1"},{"rel":"download","href":"/dashboards/20036/revisions/1/download"},{"rel":"org","href":"/orgs/ocaamano"},{"rel":"images","href":"/dashboards/20036/images"},{"rel":"thumbnails","href":"/dashboards/20036/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20139,"status":1,"statusCode":"active","orgId":973399,"orgSlug":"jantrachsler","orgName":"Fury Code","slug":"windows-server-overview","downloads":526,"revisionId":32806,"revision":4,"name":"Windows Server Overview","description":"","readme":"After importing the Windows Server Overview Dashboard, it will display as presented (please note that certain data has been obscured in the images for privacy reasons). \r\n\r\nThis dashboard provides an overview of the current metrics for your Windows server:\r\n- Ping (Is the server online)\r\n- Up (Duration of server uptime)\r\n- CPU Utilization (Current CPU usage percentage)\r\n- CPU Speed (The operating speed of your CPU)\r\n- Used Memory (Memory usage percentage)\r\n- Free Memory (Available memory in bytes)\r\n- Used Storage Space (Storage usage percentage)\r\n- Free Storage Space (Available storage in bytes)\r\n- Service (View the status of a defined service)\r\n\r\nAdditionally, you can track the historical changes in some metrics:\r\n- CPU Used (Historical CPU load changes)\r\n- Memory (Historical changes in free memory)\r\n- Storage Used (Historical changes in available disk space)\r\n\r\nYou can find more information here: [Git](https://github.com/fury-code/monitoring/tree/main/windows)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-12-13T14:14:52.000Z","updatedAt":"2024-05-17T13:20:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20139"},{"rel":"revisions","href":"/dashboards/20139/revisions"},{"rel":"revision","href":"/dashboards/20139/revisions/4"},{"rel":"download","href":"/dashboards/20139/revisions/4/download"},{"rel":"org","href":"/orgs/jantrachsler"},{"rel":"images","href":"/dashboards/20139/images"},{"rel":"thumbnails","href":"/dashboards/20139/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19007,"status":1,"statusCode":"active","orgId":419221,"orgSlug":"jonathanhandel1","orgName":"Jonathan_Handel","slug":"xecm-schedule-tasks","downloads":463,"revisionId":29130,"revision":1,"name":"Windows Server Schedule Jobs","description":"Windows Server Schedule Jobs","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-06-20T08:16:01.000Z","updatedAt":"2023-06-20T09:52:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19007"},{"rel":"revisions","href":"/dashboards/19007/revisions"},{"rel":"revision","href":"/dashboards/19007/revisions/1"},{"rel":"download","href":"/dashboards/19007/revisions/1/download"},{"rel":"org","href":"/orgs/jonathanhandel1"},{"rel":"images","href":"/dashboards/19007/images"},{"rel":"thumbnails","href":"/dashboards/19007/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16523,"status":1,"statusCode":"active","orgId":672276,"orgSlug":"gattancha","orgName":"GCS Projects","slug":"windows-server-status-dashboard-prometheus","downloads":42956,"revisionId":39339,"revision":5,"name":"Windows Server Status Dashboard - Prometheus","description":"Overview Dashboard for Windows using Prometheus and Windows_Exporter","readme":"Top section has an overview of all Windows hosts, which are linked to see more detailed information underneath\r\nTested on: Windows_Exporter 0.31.3 and Grafana 11.6.0 and 12.0.0\r\n\r\nThe latest JSON file can also be downloaded from - https://github.com/Gattancha-Computer-Services/grafana-dashboards/tree/main/windows-server-status\r\n\r\n\r\nRev 5 Notes:\r\nUpdated to work with Windows Exporter 0.31.0 or newer\r\n\r\nRev 4 Notes:\r\nUpdated due to change in metrics used in Windows Exporter that cause the Uptime and Process count panels to be blank)\r\nRecommended Windows Exporter version is 0.30.0 or newer\r\n\r\n \r\nRevision 4: Added support for windows_exporter 0.30.0 onwards (2025-04-20)\r\nRevision 3: Upgraded Table panel to latest version (2024-03-29)\r\nRevision 2: Fixed issue where \"Update\" link was incorrect (2022-07-17)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-06-30T09:58:45.000Z","updatedAt":"2025-12-16T09:39:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/16523"},{"rel":"revisions","href":"/dashboards/16523/revisions"},{"rel":"revision","href":"/dashboards/16523/revisions/5"},{"rel":"download","href":"/dashboards/16523/revisions/5/download"},{"rel":"org","href":"/orgs/gattancha"},{"rel":"images","href":"/dashboards/16523/images"},{"rel":"thumbnails","href":"/dashboards/16523/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19984,"status":1,"statusCode":"active","orgId":973399,"orgSlug":"jantrachsler","orgName":"Fury Code","slug":"windows-server-summary","downloads":559,"revisionId":32807,"revision":4,"name":"Windows Server Summary","description":"","readme":"Once you import the Windows Server Summary Dashboard, it will appear as shown (Please note that some data has been blacked out in the images for privacy reasons). \r\n\r\nThis dashboard provides a summary of the following metrics for your Windows servers:\r\n- Domains (Shows the count of servers in each domain)\r\n- Windows Versions (Displays the number of Windows servers and their respective operating system versions)\r\n- Host (Shows the hostname of the server)\r\n- CPU Load (Indicates the CPU usage as a percentage of the server)\r\n- RAM (Reflects the RAM usage as a percentage of the server)\r\n- Storage (Illustrates the used storage as a percentage of the server)\r\n\r\nYou can find more information here: [Git](https://github.com/fury-code/monitoring/tree/main/linux)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-14T07:59:18.000Z","updatedAt":"2024-05-17T13:21:54.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19984"},{"rel":"revisions","href":"/dashboards/19984/revisions"},{"rel":"revision","href":"/dashboards/19984/revisions/4"},{"rel":"download","href":"/dashboards/19984/revisions/4/download"},{"rel":"org","href":"/orgs/jantrachsler"},{"rel":"images","href":"/dashboards/19984/images"},{"rel":"thumbnails","href":"/dashboards/19984/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15453,"status":1,"statusCode":"active","orgId":582489,"orgSlug":"soroush7339","orgName":"srkaviani","slug":"windows-servers","downloads":1680,"revisionId":23315,"revision":2,"name":"Windows Servers","description":"Windows Prometheus monitors the Kanban display, adds the resource summary display, and optimizes the detailed display . Edited By Soroush Kaviani","readme":"How to Use:\nhttps://github.com/srkaviani/Windows-Exporter-Prometheus-Grafana","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-01-01T05:20:44.000Z","updatedAt":"2022-01-01T05:49:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15453"},{"rel":"revisions","href":"/dashboards/15453/revisions"},{"rel":"revision","href":"/dashboards/15453/revisions/2"},{"rel":"download","href":"/dashboards/15453/revisions/2/download"},{"rel":"org","href":"/orgs/soroush7339"},{"rel":"images","href":"/dashboards/15453/images"},{"rel":"thumbnails","href":"/dashboards/15453/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21206,"status":1,"statusCode":"active","orgId":1138910,"orgSlug":"jeffreycoburn","orgName":"jeffreycoburn","slug":"network-overview","downloads":352,"revisionId":32993,"revision":1,"name":"Windows Servers Network Overview","description":"This dashboard shows the network bandwidth used by the Windows servers in a Prometheus data source. Any number of servers can be selected, and all the graphs display on one page.","readme":"This dashboard shows the network bandwidth used by the Windows servers in a [Prometheus](https://prometheus.io/) data source. Metrics are collected using [windows_exporter](https://github.com/prometheus-community/windows_exporter). Any number of servers can be selected, and all the graphs display on one page.\r\n\r\n- The servers can be selected using the drop down at the top of the page\r\n- A soft max of 1 MiB is used to keep small fluctuations on the Y axis from appearing more significant than they are. Without a soft max, the Y axis automatically adjusts to the data, so no matter how little the data flucutates it will always take up the whole graph.\r\n- It uses [rate](https://prometheus.io/docs/prometheus/latest/querying/functions/#rate) instead of [irate](https://prometheus.io/docs/prometheus/latest/querying/functions/#irate)\r\n  - It doesn't seem like this should be necessary to mention, but every other community dashboard I looked at uses [irate](https://prometheus.io/docs/prometheus/latest/querying/functions/#irate)\r\n  - References:\r\n     - [https://grafana.com/blog/2020/09/28/new-in-grafana-7.2-__rate_interval-for-prometheus-rate-queries-that-just-work/](https://grafana.com/blog/2020/09/28/new-in-grafana-7.2-__rate_interval-for-prometheus-rate-queries-that-just-work/)\r\n     - [https://utcc.utoronto.ca/~cks/space/blog/sysadmin/PrometheusRateVsIrate](https://utcc.utoronto.ca/~cks/space/blog/sysadmin/PrometheusRateVsIrate)\r\n\r\nMore detailed info: [GitHub repo](https://github.com/colostate-hds/grafana)\r\n\r\nFor those interested in making similar dashboards, the key to making this dashboard work was to define a variable of all the windows servers, create a single panel displaying the desired information for a single server, and then using the `Panel options > Repeat options` to repeat it for each Windows server selected.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-03T23:18:39.000Z","updatedAt":"2024-06-04T15:17:54.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21206"},{"rel":"revisions","href":"/dashboards/21206/revisions"},{"rel":"revision","href":"/dashboards/21206/revisions/1"},{"rel":"download","href":"/dashboards/21206/revisions/1/download"},{"rel":"org","href":"/orgs/jeffreycoburn"},{"rel":"images","href":"/dashboards/21206/images"},{"rel":"thumbnails","href":"/dashboards/21206/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21204,"status":1,"statusCode":"active","orgId":1138910,"orgSlug":"jeffreycoburn","orgName":"jeffreycoburn","slug":"windows-servers-overview","downloads":557,"revisionId":32991,"revision":1,"name":"Windows Servers Overview","description":"This dashboard provides a summary of all the Windows servers in a Prometheus data source, with metrics collected via windows_exporter","readme":"This dashboard provides a summary of all the Windows servers in a [Prometheus](https://prometheus.io/) data source. It uses [windows_exporter](https://github.com/prometheus-community/windows_exporter) to collect metrics.\r\n\r\n- It sorts by `Status` followed by `Hostname`, so servers that are down are at the top. This can be overridden by sorting by any column.\r\n- `Revision` shows the latest OS update, which is useful as a quick check that the operating system is fully patched\r\n- Thresholds are set to draw attention to potential problems (servers that have rebooted recently, servers that are low on RAM, or servers that have nearly full volumes)\r\n- It shows the volume with the least disk space available (by percentage of total space) and how much space is being used\r\n- It uses [rate](https://prometheus.io/docs/prometheus/latest/querying/functions/#rate) instead of [irate](https://prometheus.io/docs/prometheus/latest/querying/functions/#irate)\r\n  - It doesn't seem like this should be necessary to mention, but every other community dashboard I looked at uses [irate](https://prometheus.io/docs/prometheus/latest/querying/functions/#irate)\r\n  - References:\r\n     - [https://grafana.com/blog/2020/09/28/new-in-grafana-7.2-__rate_interval-for-prometheus-rate-queries-that-just-work/](https://grafana.com/blog/2020/09/28/new-in-grafana-7.2-__rate_interval-for-prometheus-rate-queries-that-just-work/)\r\n     - [https://utcc.utoronto.ca/~cks/space/blog/sysadmin/PrometheusRateVsIrate](https://utcc.utoronto.ca/~cks/space/blog/sysadmin/PrometheusRateVsIrate)\r\n- The `Hostname` can be configured as a link to a dashboard showing more detailed metrics for that server (see notes below)\r\n\r\nMore detailed info: [GitHub repo](https://github.com/colostate-hds/grafana)\r\n\r\n## Linking Server Specific Metrics using the Hostname field\r\n1. Add a field override using the \"Fields with name\" option, and specify the `Hostname` field\r\n2. Add an override property using the \"Data Links\" option\r\n3. Add a link\r\n   - Title: $hostname\r\n   - URL: \\<dashboard specific URL\\>&var-hostname=${__data.fields.hostname}\r\n     - Example: /grafana/d/edgz29vfxxdkwe/windows-server?orgId=1&var-hostname=${__data.fields.hostname}  \r\n\r\nNote: You could [specify the dashboard UID](https://grafana.com/docs/grafana/latest/administration/provisioning/#reusable-dashboard-urls) in your JSON file to avoid having to manually configure this. However, if a dashboard already exists with that UID, it will be overwritten.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-03T23:11:23.000Z","updatedAt":"2024-06-04T15:19:25.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21204"},{"rel":"revisions","href":"/dashboards/21204/revisions"},{"rel":"revision","href":"/dashboards/21204/revisions/1"},{"rel":"download","href":"/dashboards/21204/revisions/1/download"},{"rel":"org","href":"/orgs/jeffreycoburn"},{"rel":"images","href":"/dashboards/21204/images"},{"rel":"thumbnails","href":"/dashboards/21204/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18658,"status":1,"statusCode":"active","orgId":59972,"orgSlug":"fadjar340","orgName":"Fadjar Tandabawana","slug":"windows-servers-status","downloads":1211,"revisionId":28597,"revision":1,"name":"Windows Servers Status Summary","description":"Windows Server Status using Prometheus and windows_exporter","readme":"This dashboard for Windows Server Summary using Prometheus and windows_exporter","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-05-03T10:22:10.000Z","updatedAt":"2023-05-03T10:25:17.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18658"},{"rel":"revisions","href":"/dashboards/18658/revisions"},{"rel":"revision","href":"/dashboards/18658/revisions/1"},{"rel":"download","href":"/dashboards/18658/revisions/1/download"},{"rel":"org","href":"/orgs/fadjar340"},{"rel":"images","href":"/dashboards/18658/images"},{"rel":"thumbnails","href":"/dashboards/18658/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13262,"status":1,"statusCode":"active","orgId":429378,"orgSlug":"oblalex","orgName":"oblalex","slug":"services-processes","downloads":15622,"revisionId":19260,"revision":1,"name":"Windows Services & Processes","description":"History of service statuses & process metrics","readme":"The dashboard provides a history of statuses of services and process-related metrics.\r\n\r\nPrometheus is used as the data source, which stores data collected from \"windows_exporter\".\r\n\r\nCollectors of \"windows_exporter\" used:\r\n\r\n- `service`\r\n- `process`\r\n- `system`\r\n\r\nDepends on the \"Statusmap\" plugin.\r\n\r\nIt is recommended to filter out lists of services/processes either in the config of \"windows_exporter\" or manually in the dashboard.\r\n\r\nSee also: \"System Overview\" dashboard `13261` ([https://grafana.com/grafana/dashboards/13261](https://grafana.com/grafana/dashboards/13261)).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-23T19:28:40.000Z","updatedAt":"2020-10-23T19:59:20.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13262"},{"rel":"revisions","href":"/dashboards/13262/revisions"},{"rel":"revision","href":"/dashboards/13262/revisions/1"},{"rel":"download","href":"/dashboards/13262/revisions/1/download"},{"rel":"org","href":"/orgs/oblalex"},{"rel":"images","href":"/dashboards/13262/images"},{"rel":"thumbnails","href":"/dashboards/13262/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12755,"status":1,"statusCode":"active","orgId":60992,"orgSlug":"itboffin","orgName":"Stephen Renshaw","slug":"windows-summary-metrics","downloads":386,"revisionId":18360,"revision":1,"name":"Windows Summary Metrics","description":"Windows host dashboard for telegraf metrics pumped into influxdb","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-08-03T09:53:14.000Z","updatedAt":"2020-08-03T09:53:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12755"},{"rel":"revisions","href":"/dashboards/12755/revisions"},{"rel":"revision","href":"/dashboards/12755/revisions/1"},{"rel":"download","href":"/dashboards/12755/revisions/1/download"},{"rel":"org","href":"/orgs/itboffin"},{"rel":"images","href":"/dashboards/12755/images"},{"rel":"thumbnails","href":"/dashboards/12755/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":11954,"status":1,"statusCode":"active","orgId":362096,"orgSlug":"patmm010","orgName":"Manish Patel","slug":"windows-system-dashboard","downloads":3547,"revisionId":16964,"revision":1,"name":"Windows System Dashboard","description":"Windows System Dashboard. ","readme":"Current Dashboard shows,\n\nTotal Memory, \nSystem Status, \nSystem Uptime,\nMemory Utilization, \nCPU Utilization,\nNetwork Traffic,\nSystem Drive Free Disk Space,\nSystem Disk read/write rate,\nDisk Utilization, \nZabbix Problem\n\nGlobal variable to select, $Group (In this case, Windows), $Server, $Interface (All or Specific).\n\nHope it helps.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2020-03-20T04:48:29.000Z","updatedAt":"2020-03-20T04:58:45.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11954"},{"rel":"revisions","href":"/dashboards/11954/revisions"},{"rel":"revision","href":"/dashboards/11954/revisions/1"},{"rel":"download","href":"/dashboards/11954/revisions/1/download"},{"rel":"org","href":"/orgs/patmm010"},{"rel":"images","href":"/dashboards/11954/images"},{"rel":"thumbnails","href":"/dashboards/11954/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":10411,"status":1,"statusCode":"active","orgId":232447,"orgSlug":"alexandzors","orgName":"Alexander Henderson","slug":"windows-system-metrics","downloads":732,"revisionId":14540,"revision":1,"name":"Windows System Metrics","description":"Monitor Windows systems via Telegraf and InfluxDB","readme":"Dashboard for monitoring Windows Systems via Telegraf and InfluxDB.","collectorType":"Telegraf","collectorConfig":"Must enable win_perf_counters in telegraf as well as use the generic counters from [here](https://github.com/influxdata/telegraf/tree/master/plugins/inputs/win_perf_counters#generic-queries).","collectorPluginList":"system","datasource":"InfluxDB","privacy":"public","createdAt":"2019-06-22T19:04:47.000Z","updatedAt":"2019-06-22T19:07:51.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10411"},{"rel":"revisions","href":"/dashboards/10411/revisions"},{"rel":"revision","href":"/dashboards/10411/revisions/1"},{"rel":"download","href":"/dashboards/10411/revisions/1/download"},{"rel":"org","href":"/orgs/alexandzors"},{"rel":"images","href":"/dashboards/10411/images"},{"rel":"thumbnails","href":"/dashboards/10411/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":13261,"status":1,"statusCode":"active","orgId":429378,"orgSlug":"oblalex","orgName":"oblalex","slug":"system-overview","downloads":11978,"revisionId":19259,"revision":1,"name":"Windows System Overview","description":"A dashboard utilizing metrics collected via \"windows_exporter\" for Prometheus.","readme":"The dashboard provides a brief overview of the current system's metrics with graphs of their historic values.\r\n\r\nPrometheus is used as the data source, which stores data collected from \"windows_exporter\".\r\n\r\nCollectors of \"windows_exporter\" used:\r\n\r\n- `cpu`\r\n- `cs`\r\n- `logical_disk`\r\n- `memory`\r\n- `net`\r\n- `os`\r\n- `system`\r\n\r\nSee also: \"Services & Processes\" dashboard `13262` ([https://grafana.com/grafana/dashboards/13262](https://grafana.com/grafana/dashboards/13262)).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-10-23T19:05:47.000Z","updatedAt":"2020-10-23T19:59:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13261"},{"rel":"revisions","href":"/dashboards/13261/revisions"},{"rel":"revision","href":"/dashboards/13261/revisions/1"},{"rel":"download","href":"/dashboards/13261/revisions/1/download"},{"rel":"org","href":"/orgs/oblalex"},{"rel":"images","href":"/dashboards/13261/images"},{"rel":"thumbnails","href":"/dashboards/13261/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":23172,"status":1,"statusCode":"active","orgId":1390923,"orgSlug":"wirthhorn","orgName":"wirthhorn","slug":"updates-windows","downloads":345,"revisionId":36669,"revision":1,"name":"Windows Update Monitoring","description":"Monitoring of Windows updates and pending reboots with Prometheus","readme":"Dashboard to visualize pending Windows updates, security updates, and system reboots. The scripts and integration steps are maintained in the GitHub repository [windows-update-monitoring](https://github.com/Wirth-Horn/windows-update-monitoring).\r\n\r\nThe dashboard is heavily inspired by [this dashboard](https://grafana.com/grafana/dashboards/17697-apt-monitoring/) and the correspoding [GitHub project](https://github.com/labmonkeys-space/apt-prometheus) behind it which enables the same update monitoring for Linux hosts.\r\n\r\n\r\n","collectorType":"nodeExporter","collectorConfig":"Enable the textfile collector in your Node_Exporter and set a directory to pick up .prom files.","collectorPluginList":"textfile","datasource":"Prometheus","privacy":"public","createdAt":"2025-03-31T14:22:49.000Z","updatedAt":"2025-03-31T14:37:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23172"},{"rel":"revisions","href":"/dashboards/23172/revisions"},{"rel":"revision","href":"/dashboards/23172/revisions/1"},{"rel":"download","href":"/dashboards/23172/revisions/1/download"},{"rel":"org","href":"/orgs/wirthhorn"},{"rel":"images","href":"/dashboards/23172/images"},{"rel":"thumbnails","href":"/dashboards/23172/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":24689,"status":1,"statusCode":"active","orgId":1639577,"orgSlug":"zylong9947","orgName":"zylong9947","slug":"windows","downloads":65,"revisionId":39545,"revision":1,"name":"Windows 检测看板","description":"Windows的Prometheus监控看板展示，增加了资源汇总展示，优化了明细展示。更新支持windows_exporter 0.22.0。","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-01-13T07:25:02.000Z","updatedAt":"2026-01-13T07:29:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24689"},{"rel":"revisions","href":"/dashboards/24689/revisions"},{"rel":"revision","href":"/dashboards/24689/revisions/1"},{"rel":"download","href":"/dashboards/24689/revisions/1/download"},{"rel":"org","href":"/orgs/zylong9947"},{"rel":"images","href":"/dashboards/24689/images"},{"rel":"thumbnails","href":"/dashboards/24689/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13466,"status":1,"statusCode":"active","orgId":440597,"orgSlug":"vasilgerman","orgName":"vasilgerman","slug":"windows-exporter-for-prometheus-dashboard","downloads":44713,"revisionId":19660,"revision":6,"name":"windows_exporter for Prometheus Dashboard","description":"Windows Prometheus monitors the display of the dashboard, adds the resource summary display, and optimizes the detailed display. Update to support windows_exporter 0.13.0.","readme":"Windows Prometheus monitors the display of the dashboard, adds the resource summary display, and optimizes the detailed display. Update to support windows_exporter 0.13.0.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-11-26T06:58:31.000Z","updatedAt":"2020-11-26T07:18:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13466"},{"rel":"revisions","href":"/dashboards/13466/revisions"},{"rel":"revision","href":"/dashboards/13466/revisions/6"},{"rel":"download","href":"/dashboards/13466/revisions/6/download"},{"rel":"org","href":"/orgs/vasilgerman"},{"rel":"images","href":"/dashboards/13466/images"},{"rel":"thumbnails","href":"/dashboards/13466/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19957,"status":1,"statusCode":"active","orgId":952089,"orgSlug":"simployer","orgName":"simployer","slug":"windows-exporter-for-prometheus-dashboard","downloads":354,"revisionId":30675,"revision":1,"name":"windows_exporter for Prometheus Dashboard","description":"Windows Prometheus monitors the display of the dashboard, adds the resource summary display, and optimizes the detailed display. Update to support windows_exporter 0.13.0.","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-10T13:17:05.000Z","updatedAt":"2023-11-10T13:18:33.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19957"},{"rel":"revisions","href":"/dashboards/19957/revisions"},{"rel":"revision","href":"/dashboards/19957/revisions/1"},{"rel":"download","href":"/dashboards/19957/revisions/1/download"},{"rel":"org","href":"/orgs/simployer"},{"rel":"images","href":"/dashboards/19957/images"},{"rel":"thumbnails","href":"/dashboards/19957/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14451,"status":1,"statusCode":"active","orgId":497866,"orgSlug":"gefidalgo","orgName":"gefidalgo","slug":"windows-exporter-for-prometheus-dashboard-en","downloads":5555,"revisionId":21371,"revision":1,"name":"windows_exporter for Prometheus Dashboard EN","description":"Windows Prometheus monitors the Kanban display, adds the resource summary display, and optimizes the detailed display. The update supports windows_exporter 0.13.0.\r\n\r\nTHIS IS ONLY A TRANSLATION. CREDITS TO StarsL.cn\r\n\r\nsource dashboard ID 10467\r\n","readme":"Prometheus Configuration\r\nnano  /etc/prometheus/prometheus.yml\r\n\r\n------ add targets for scrapping ------\r\n\r\n  - job_name: 'wmi-exporter'\r\n    static_configs:\r\n      - targets: ['XX.XX.XX.XX:9182','XX.XX.XX.XX:9182','XX.XX.XX.XX:9182']","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-05-18T03:29:27.000Z","updatedAt":"2021-05-18T03:30:59.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/14451"},{"rel":"revisions","href":"/dashboards/14451/revisions"},{"rel":"revision","href":"/dashboards/14451/revisions/1"},{"rel":"download","href":"/dashboards/14451/revisions/1/download"},{"rel":"org","href":"/orgs/gefidalgo"},{"rel":"images","href":"/dashboards/14451/images"},{"rel":"thumbnails","href":"/dashboards/14451/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13868,"status":1,"statusCode":"active","orgId":296033,"orgSlug":"hakob","orgName":"hakob","slug":"windows-exporter-for-prometheus-dashboard","downloads":2508,"revisionId":20314,"revision":1,"name":"windows_exporter for Prometheus Dashboard EN","description":"Windows Prometheus monitors the Kanban display, adds the resource summary display, and optimizes the detailed display. Update supports windows_exporter 0.13.0.","readme":"","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":"cpu, diskstats, filesystem, time, Other","datasource":"Prometheus","privacy":"public","createdAt":"2021-02-11T10:55:31.000Z","updatedAt":"2021-02-11T11:02:00.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/13868"},{"rel":"revisions","href":"/dashboards/13868/revisions"},{"rel":"revision","href":"/dashboards/13868/revisions/1"},{"rel":"download","href":"/dashboards/13868/revisions/1/download"},{"rel":"org","href":"/orgs/hakob"},{"rel":"images","href":"/dashboards/13868/images"},{"rel":"thumbnails","href":"/dashboards/13868/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":17264,"status":1,"statusCode":"active","orgId":424526,"orgSlug":"alliottech","orgName":"alliottech","slug":"windows-exporter-for-prometheus-dashboard-en-v20221026","downloads":895,"revisionId":26537,"revision":2,"name":"windows_exporter for Prometheus Dashboard EN v20221027","description":"windows_exporter 0.20.0  && Grafana 9      Original author @starsl.cn. (id: 10467).    modified by: Alliot (www.iots.vip)","readme":"windows_exporter 0.20.0  && Grafana 9      Original author @starsl.cn. (id: 10467). \r\nmodified by: Alliot (www.iots.vip)\r\n\r\n``` \r\nwindows_exporter-0.20.0-amd64.exe --collectors.enabled \"[defaults], cpu_info, logon, memory, process\" TEXTFILE_DIR=\"C:\\custom_metrics\" LISTEN_PORT=\"9115\"\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-10-25T10:50:21.000Z","updatedAt":"2022-10-26T03:05:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/17264"},{"rel":"revisions","href":"/dashboards/17264/revisions"},{"rel":"revision","href":"/dashboards/17264/revisions/2"},{"rel":"download","href":"/dashboards/17264/revisions/2/download"},{"rel":"org","href":"/orgs/alliottech"},{"rel":"images","href":"/dashboards/17264/images"},{"rel":"thumbnails","href":"/dashboards/17264/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19688,"status":1,"statusCode":"active","orgId":956860,"orgSlug":"seiyagame","orgName":"seiyagame","slug":"windows-exporter-for-prometheus-dashboard-en-v20231002","downloads":2355,"revisionId":30208,"revision":1,"name":"windows_exporter for Prometheus Dashboard EN v20231002-SeiyaGame","description":"【English version】Update 2023.10.02,  Includes: CPU, memory, disk IO, network, temperature and other monitoring metrics\r\nhttps://github.com/SeiyaGame/Prometheus","readme":"# Windows Dashboard\r\n\r\nThis is a translation and update of this original dashboard version :\r\n\r\n- https://grafana.com/grafana/dashboards/10467\r\n- https://github.com/starsliao/Prometheus/tree/master/windows_exporter\r\n\r\nDue to the depreciation of the angular plugin, I migrated the dashboard to React.  \r\nThe only thing that's a bit disturbing about the react version is that the table is a bit large ...  \r\nNo option yet exists to reduce it\r\n\r\nThe old version of the dashboard is available [here](https://github.com/SeiyaGame/Prometheus/tree/main/windows_exporter)\r\n\r\n## Update on my github !\r\n - 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:-)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-11-12T15:31:02.000Z","updatedAt":"2021-05-05T17:48:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11178"},{"rel":"revisions","href":"/dashboards/11178/revisions"},{"rel":"revision","href":"/dashboards/11178/revisions/3"},{"rel":"download","href":"/dashboards/11178/revisions/3/download"},{"rel":"org","href":"/orgs/mte90"},{"rel":"images","href":"/dashboards/11178/images"},{"rel":"thumbnails","href":"/dashboards/11178/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":14996,"status":1,"statusCode":"active","orgId":530393,"orgSlug":"orfanos","orgName":"orfanos","slug":"wordpress-dashboard","downloads":392,"revisionId":22395,"revision":1,"name":"WordPress dashboard","description":"A dashboard displaying WordPress site metrics. 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Metrics list, installation instructions and more can be found [here](https://github.com/aorfanos/wordpress-exporter).","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-09-12T03:05:50.000Z","updatedAt":"2021-09-12T03:11:13.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14996"},{"rel":"revisions","href":"/dashboards/14996/revisions"},{"rel":"revision","href":"/dashboards/14996/revisions/1"},{"rel":"download","href":"/dashboards/14996/revisions/1/download"},{"rel":"org","href":"/orgs/orfanos"},{"rel":"images","href":"/dashboards/14996/images"},{"rel":"thumbnails","href":"/dashboards/14996/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13191,"status":1,"statusCode":"active","orgId":410663,"orgSlug":"hawarkoy","orgName":"Hawar Koyi","slug":"wordpress","downloads":2266,"revisionId":19160,"revision":1,"name":"Wordpress statistics dashboard","description":"Wordpress statistics dashboard includes:\r\n - Top 5 pages\r\n - Top browsers\r\n - Top 10 Referring Sites\r\n - Top Engines\r\n - Total Visitors \r\n - Total Online Users\r\n - Total Visits\r\n - Top 10 Countries (Count Visitor)\r\n - Top 10 Countries (Hits)\r\n - Visit & Visitor in the last 10 days\r\n","readme":"1. install \"WP Statistics\" plugin for Wordpress\r\n   https://wordpress.org/plugins/wp-statistics/\r\n2. 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\r\nWould love to see some known issues and keep opening and closing as soon as I have feedback from you guys. 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How many TBs were written over a time.\n\n\t#!/bin/sh\n\n\t# Set environment.\n\tPATH=/sbin:/bin:/usr/sbin:/usr/bin:/usr/local/sbin:/usr/local/bin\n\n\tADA0_READ=$(sudo smartctl -a /dev/ada0 | grep Total_LBAs_Read | awk '{print $NF}')\n\tADA0_WRITTEN=$(sudo smartctl -a /dev/ada0 | grep Total_LBAs_Written | awk '{print $NF}')\n\tADA3_WRITTEN=$(sudo smartctl -a /dev/ada3 | grep Total_LBAs_Written | awk '{print $NF}')\n\n\tprintf \"hdd_health,name=ada0 total_lba_read=${ADA0_READ},total_lba_written=${ADA0_WRITTEN}\\n\"\n\tprintf \"hdd_health,name=ada3 total_lba_written=${ADA3_WRITTEN}\\n\"\n\nAdditionally edit /usr/local/etc/sudoers and add below lines\n\n\tCmnd_Alias SMARTCTL = /usr/local/sbin/smartctl\n\ttelegraf  ALL=(ALL) NOPASSWD: SMARTCTL\n\tDefaults!SMARTCTL !logfile, !syslog, !pam_session\n","collectorType":"Telegraf","collectorConfig":"\n\n\t[global_tags]\n\n\t[agent]\n\t\tinterval = \"60s\"\n\t\tround_interval = true\n\t\tmetric_batch_size = 1000\n\t\tmetric_buffer_limit = 10000\n\t\tcollection_jitter = \"0s\"\n\t\tflush_jitter = \"0s\"\n\t\tprecision = \"\"\n\t\tdebug = false\n\t\tquiet = false\n\t\tlogfile = \"\"\n\t\thostname = \"\"\n\t\tomit_hostname = false\n\n\t[[outputs.influxdb]]\n\t\turls = [\"http://influxdb:8086\"]\n\t\tdatabase = \"xigmanas_db\"\n\t\tretention_policy = \"\"\n\t\twrite_consistency = \"any\"\n\t\ttimeout = \"5s\"\n\t\tusername = \"dbuser\"\n\t\tpassword = \"dbpassword\"\n\n\t[[inputs.cpu]]\n\t\tpercpu = false\n\t\ttotalcpu = true\n\t\tcollect_cpu_time = false\n\t\treport_active = false\n\n\t[[inputs.disk]]\n\t\tmount_points = [\"/mnt/pool\", \"/mnt/pool/ext\", \"/mnt/pool/photo\", \"/mnt/pool/soft\", \"/mnt/pool/virtualbox_nvr\", \"/mnt/smallpool\", \"/mnt/smallpool/video\", \"/mnt/ssdpool\", \"/mnt/ssdpool/ssdvirtualbox\", \"/mnt/ssdpool/torrent\"]\n\t\tignore_fs = [\"tmpfs\", \"devtmpfs\", \"devfs\", \"iso9660\", \"overlay\", \"aufs\", \"squashfs\"]\n\t\tinterval = \"1h\"\n\n\t[[inputs.diskio]]\n\n\t[[inputs.mem]]\n\n\t[[inputs.processes]]\n\n\t[[inputs.swap]]\n\n\t[[inputs.system]]\n\n\t[[inputs.net]]\n\n\t[[inputs.zfs]]\n\t\tpoolMetrics = true\n\t\tinterval = \"1m\"\n\n\t[[inputs.smart]]\n\t\tpath = \"/usr/local/sbin/smartctl\"\n\t\tuse_sudo = true\n\t\texcludes = [ \"/dev/ses0\" ]\n\t\tinterval = \"10m\"\n\n\t[[inputs.exec]]\n\t\tcommands = [\"/mnt/pool/ext/extensions/telegraf/custom_scripts/cpu_sysctl\"]\n\t\ttimeout = \"5s\"\n\t\tdata_format = \"influx\"\n\n\t[[inputs.exec]]\n\t\tcommands = [\"/mnt/pool/ext/extensions/telegraf/custom_scripts/disk_total_read_written\"]\n\t\ttimeout = \"5s\"\n\t\tdata_format = \"influx\"\n","collectorPluginList":"ipmi_sensor, exec, Other, 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useful..","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-09-13T14:52:56.000Z","updatedAt":"2019-09-13T14:59:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10853"},{"rel":"revisions","href":"/dashboards/10853/revisions"},{"rel":"revision","href":"/dashboards/10853/revisions/1"},{"rel":"download","href":"/dashboards/10853/revisions/1/download"},{"rel":"org","href":"/orgs/xmurias"},{"rel":"images","href":"/dashboards/10853/images"},{"rel":"thumbnails","href":"/dashboards/10853/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12891,"status":1,"statusCode":"active","orgId":300106,"orgSlug":"joca","orgName":"Planalto Net","slug":"xps-srx60a-row","downloads":479,"revisionId":18630,"revision":1,"name":"XPS - SRX60A - ROW","description":"Coleta os seguintes dados de Retificadoras XPS SRX60 via snmp;\nLocal;\nAlarme urgente;\nAlarme nao urgente;\nAlarme de advertencia;\nTemperatura;\nCorrente URs;\nUso da Baterias;\nFusiveis;\nFalha URs;\nVCA URs;\nLimite de VCA baixa e alta;\nConsuno do Sistema;\nVCA;","readme":"Criar o arquivo  /etc/telegraf/telegraf.d/xps-srx60a.conf\n\nPara varios hosts alterar agents = [ \"host01:161\" ] por agents = [ \"host01:161\" , \"host02:161\", \"host03:161\" ]\n\n[[inputs.snmp]]\n  agents = [ \"host01:161\" ]\n  version = 2\n  name = \"xps-srx60a\"\t\n  community = \"admin\"\n  interval = \"60s\"\n  timeout = \"10s\"\n  retries = 3\n\n  [[inputs.snmp.field]]\n    name = \"Identidade\"\n    oid = \"1.3.6.1.4.1.34252.5.2.1.0\"\n\n  [[inputs.snmp.field]]\n    name = \"Corrente UR 1\"\n    oid = \"1.3.6.1.4.1.34252.5.1.1.1.1.0\"\n\n  [[inputs.snmp.field]]\n    name = \"Corrente UR 2\"\n    oid = \"1.3.6.1.4.1.34252.5.1.1.1.2.0\"\n\n  [[inputs.snmp.field]]\n    name = \"Falha UR 1\"\n    oid = \"1.3.6.1.4.1.34252.5.1.1.2.1.0\"\n\n  [[inputs.snmp.field]]\n    name = \"Falha UR 2\"\n    oid = \"1.3.6.1.4.1.34252.5.1.1.2.2.0\"\n\n  [[inputs.snmp.field]]\n    name = \"VCA UR 1\"\n    oid = \"1.3.6.1.4.1.34252.5.1.2.0\"\n\n\n  [[inputs.snmp.field]]\n    name = \"VCA UR 2\"\n    oid = \"1.3.6.1.4.1.34252.5.1.3.0\"\n\n  [[inputs.snmp.field]]\n    name = \"CaBaixa\"\n    oid = \"1.3.6.1.4.1.34252.5.2.7.0\"\n\n\n  [[inputs.snmp.field]]\n    name = \"CaAlta\"\n    oid = \"1.3.6.1.4.1.34252.5.2.8.0\"\n\n\n  [[inputs.snmp.field]]\n    name = \"Sistema VCC\"\n    oid = \"1.3.6.1.4.1.34252.5.1.5.0\"\n\n  [[inputs.snmp.field]]\n    name = \"Sistema Ah\"\n    oid = \"1.3.6.1.4.1.34252.5.1.7.0\"\n\n  [[inputs.snmp.field]]\n    name = \"TempAmb1\"\n    oid = \"1.3.6.1.4.1.34252.5.1.15.6.0\"\n\n  [[inputs.snmp.field]]\n    name = \"FusCons\"\n    oid = \"1.3.6.1.4.1.34252.5.1.12.0\"\n\n  [[inputs.snmp.field]]\n    name = \"FusBat\"\n    oid = \"1.3.6.1.4.1.34252.5.1.13.0\"\n\n  [[inputs.snmp.field]]\n    name = \"IBatC\"\n    oid = \"1.3.6.1.4.1.34252.5.1.8.0\"\n\n  [[inputs.snmp.field]]\n    name = \"IBatD\"\n    oid = \"1.3.6.1.4.1.34252.5.1.9.0\"\n\n  [[inputs.snmp.field]]\n    name = \"VBat\"\n    oid = \"1.3.6.1.4.1.34252.5.1.6.0\"\n\n  [[inputs.snmp.field]]\n    name = \"AlarmeUrg\"\n    oid = \"1.3.6.1.4.1.34252.5.1.14.1.0\"\n\n  [[inputs.snmp.field]]\n    name = \"AlarmeNaoUrg\"\n    oid = \"1.3.6.1.4.1.34252.5.1.14.2.0\"\n\n  [[inputs.snmp.field]]\n    name = \"AlarmeAdivertencia\"\n    oid = \"1.3.6.1.4.1.34252.5.1.14.3.0\"","collectorType":"Telegraf","collectorConfig":"[[inputs.snmp]]\n  agents = [ \"host:161\" ]\n  version = 2\n  name = \"xps-srx60a\"\t\n  community = \"admin\"\n  interval = \"60s\"\n  timeout = \"10s\"\n  retries = 3\n\n  [[inputs.snmp.field]]\n    name = \"Identidade\"\n    oid = \"1.3.6.1.4.1.34252.5.2.1.0\"\n\n  [[inputs.snmp.field]]\n    name = \"Corrente UR 1\"\n    oid = \"1.3.6.1.4.1.34252.5.1.1.1.1.0\"\n\n  [[inputs.snmp.field]]\n    name = \"Corrente UR 2\"\n    oid = \"1.3.6.1.4.1.34252.5.1.1.1.2.0\"\n\n  [[inputs.snmp.field]]\n    name = \"Falha UR 1\"\n    oid = \"1.3.6.1.4.1.34252.5.1.1.2.1.0\"\n\n  [[inputs.snmp.field]]\n    name = \"Falha UR 2\"\n    oid = \"1.3.6.1.4.1.34252.5.1.1.2.2.0\"\n\n  [[inputs.snmp.field]]\n    name = \"VCA UR 1\"\n    oid = \"1.3.6.1.4.1.34252.5.1.2.0\"\n\n\n  [[inputs.snmp.field]]\n    name = \"VCA UR 2\"\n    oid = \"1.3.6.1.4.1.34252.5.1.3.0\"\n\n  [[inputs.snmp.field]]\n    name = \"CaBaixa\"\n    oid = \"1.3.6.1.4.1.34252.5.2.7.0\"\n\n\n  [[inputs.snmp.field]]\n    name = \"CaAlta\"\n    oid = \"1.3.6.1.4.1.34252.5.2.8.0\"\n\n\n  [[inputs.snmp.field]]\n    name = \"Sistema VCC\"\n    oid = \"1.3.6.1.4.1.34252.5.1.5.0\"\n\n  [[inputs.snmp.field]]\n    name = \"Sistema Ah\"\n    oid = \"1.3.6.1.4.1.34252.5.1.7.0\"\n\n  [[inputs.snmp.field]]\n    name = \"TempAmb1\"\n    oid = \"1.3.6.1.4.1.34252.5.1.15.6.0\"\n\n  [[inputs.snmp.field]]\n    name = \"FusCons\"\n    oid = \"1.3.6.1.4.1.34252.5.1.12.0\"\n\n  [[inputs.snmp.field]]\n    name = \"FusBat\"\n    oid = \"1.3.6.1.4.1.34252.5.1.13.0\"\n\n  [[inputs.snmp.field]]\n    name = \"IBatC\"\n    oid = \"1.3.6.1.4.1.34252.5.1.8.0\"\n\n  [[inputs.snmp.field]]\n    name = \"IBatD\"\n    oid = \"1.3.6.1.4.1.34252.5.1.9.0\"\n\n  [[inputs.snmp.field]]\n    name = \"VBat\"\n    oid = \"1.3.6.1.4.1.34252.5.1.6.0\"\n\n  [[inputs.snmp.field]]\n    name = \"AlarmeUrg\"\n    oid = \"1.3.6.1.4.1.34252.5.1.14.1.0\"\n\n  [[inputs.snmp.field]]\n    name = \"AlarmeNaoUrg\"\n    oid = \"1.3.6.1.4.1.34252.5.1.14.2.0\"\n\n  [[inputs.snmp.field]]\n    name = \"AlarmeAdivertencia\"\n    oid = \"1.3.6.1.4.1.34252.5.1.14.3.0\"\n\n","collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2020-08-25T18:31:55.000Z","updatedAt":"2020-08-25T19:26:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12891"},{"rel":"revisions","href":"/dashboards/12891/revisions"},{"rel":"revision","href":"/dashboards/12891/revisions/1"},{"rel":"download","href":"/dashboards/12891/revisions/1/download"},{"rel":"org","href":"/orgs/joca"},{"rel":"images","href":"/dashboards/12891/images"},{"rel":"thumbnails","href":"/dashboards/12891/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23145,"status":1,"statusCode":"active","orgId":914104,"orgSlug":"kopyl","orgName":"kopyl","slug":"xray-dashboard","downloads":341,"revisionId":36596,"revision":1,"name":"Xray","description":"A dashboard for https://github.com/anatolykopyl/xray-exporter","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-03-23T23:03:02.000Z","updatedAt":"2025-03-23T23:04:58.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23145"},{"rel":"revisions","href":"/dashboards/23145/revisions"},{"rel":"revision","href":"/dashboards/23145/revisions/1"},{"rel":"download","href":"/dashboards/23145/revisions/1/download"},{"rel":"org","href":"/orgs/kopyl"},{"rel":"images","href":"/dashboards/23145/images"},{"rel":"thumbnails","href":"/dashboards/23145/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":22830,"status":1,"statusCode":"active","orgId":771766,"orgSlug":"cumulopro","orgName":"cumulopro","slug":"xrpl-evm-dashboard-by-cumulo","downloads":268,"revisionId":36024,"revision":1,"name":"XRPL EVM Dashboard by Cumulo","description":"This version of the Grafana dashboard is specifically designed for monitoring XRPL nodes on the mainnet. It includes comprehensive configurations and visualizations tailored to provide real-time insights into the performance and health of your XRPL node.\r\n\r\nBy integrating Grafana with Prometheus and Node Exporter, this setup enables you to track critical metrics, such as consensus participation, validator performance, transaction throughput, and system resource usage, through interactive panels and informative graphs.\r\n\r\nWith this custom monitoring solution, managing and optimizing your XRPL mainnet nodes becomes seamless and efficient, ensuring network stability and optimal performance.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, Prometheus","privacy":"public","createdAt":"2025-02-08T17:44:16.000Z","updatedAt":"2025-02-08T20:43:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22830"},{"rel":"revisions","href":"/dashboards/22830/revisions"},{"rel":"revision","href":"/dashboards/22830/revisions/1"},{"rel":"download","href":"/dashboards/22830/revisions/1/download"},{"rel":"org","href":"/orgs/cumulopro"},{"rel":"images","href":"/dashboards/22830/images"},{"rel":"thumbnails","href":"/dashboards/22830/thumbnails"}],"datasourceSlugs":["__expr__","prometheus"]},{"id":22701,"status":1,"statusCode":"active","orgId":950190,"orgSlug":"peersyst","orgName":"peersyst","slug":"xrpl-evm-node","downloads":256,"revisionId":35800,"revision":1,"name":"XRPL EVM node","description":"Dashboard for tendermint, go prometheus metrics exported via the cosmos-sdk.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Loki, Prometheus","privacy":"public","createdAt":"2025-01-16T10:04:16.000Z","updatedAt":"2025-01-16T10:07:13.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/22701"},{"rel":"revisions","href":"/dashboards/22701/revisions"},{"rel":"revision","href":"/dashboards/22701/revisions/1"},{"rel":"download","href":"/dashboards/22701/revisions/1/download"},{"rel":"org","href":"/orgs/peersyst"},{"rel":"images","href":"/dashboards/22701/images"},{"rel":"thumbnails","href":"/dashboards/22701/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":16525,"status":1,"statusCode":"active","orgId":672506,"orgSlug":"antikuz","orgName":"antikuz","slug":"xservers","downloads":276,"revisionId":25226,"revision":1,"name":"Xserver","description":"xserver.a-real dashboard","readme":"### Basic dashboard xserver.a-real. To collect metrics use [https://github.com/antikuz/xserver_exporter](https://github.com/antikuz/xserver_exporter)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2022-06-30T18:20:30.000Z","updatedAt":"2022-06-30T18:40:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16525"},{"rel":"revisions","href":"/dashboards/16525/revisions"},{"rel":"revision","href":"/dashboards/16525/revisions/1"},{"rel":"download","href":"/dashboards/16525/revisions/1/download"},{"rel":"org","href":"/orgs/antikuz"},{"rel":"images","href":"/dashboards/16525/images"},{"rel":"thumbnails","href":"/dashboards/16525/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20915,"status":1,"statusCode":"active","orgId":1104725,"orgSlug":"elabedc","orgName":"elabedc","slug":"xtremio","downloads":264,"revisionId":32452,"revision":1,"name":"XtremIO","description":"Dashboard for DellEMC 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Prometheus","privacy":"public","createdAt":"2024-04-19T08:09:02.000Z","updatedAt":"2024-04-19T08:25:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20915"},{"rel":"revisions","href":"/dashboards/20915/revisions"},{"rel":"revision","href":"/dashboards/20915/revisions/1"},{"rel":"download","href":"/dashboards/20915/revisions/1/download"},{"rel":"org","href":"/orgs/elabedc"},{"rel":"images","href":"/dashboards/20915/images"},{"rel":"thumbnails","href":"/dashboards/20915/thumbnails"}],"datasourceSlugs":["__expr__","prometheus"]},{"id":24016,"status":1,"statusCode":"active","orgId":1528293,"orgSlug":"xuethan369","orgName":"xuethan369","slug":"xues","downloads":119,"revisionId":38318,"revision":1,"name":"xues","description":"Prometheus  Summary 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provided by yabeda-graphql gem for monitoring of APIs powered by GraphQL-Ruby.","readme":"See [yabeda-graphql](https://github.com/yabeda-rb/yabeda-graphql/) homepage for list of available metrics.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-07-26T14:48:27.000Z","updatedAt":"2021-07-26T14:58:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/14774"},{"rel":"revisions","href":"/dashboards/14774/revisions"},{"rel":"revision","href":"/dashboards/14774/revisions/1"},{"rel":"download","href":"/dashboards/14774/revisions/1/download"},{"rel":"org","href":"/orgs/envek"},{"rel":"images","href":"/dashboards/14774/images"},{"rel":"thumbnails","href":"/dashboards/14774/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11668,"status":1,"statusCode":"active","orgId":342299,"orgSlug":"envek","orgName":"envek","slug":"yabeda-rails","downloads":2651,"revisionId":16467,"revision":1,"name":"Yabeda Rails","description":"Basic metrics for web applications built with Ruby on Rails.","readme":"This dashboard is an example of 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metrics.\r\n\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-29T14:53:11.000Z","updatedAt":"2020-01-30T11:35:52.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11668"},{"rel":"revisions","href":"/dashboards/11668/revisions"},{"rel":"revision","href":"/dashboards/11668/revisions/1"},{"rel":"download","href":"/dashboards/11668/revisions/1/download"},{"rel":"org","href":"/orgs/envek"},{"rel":"images","href":"/dashboards/11668/images"},{"rel":"thumbnails","href":"/dashboards/11668/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12765,"status":1,"statusCode":"active","orgId":405789,"orgSlug":"denuk96","orgName":"denuk96","slug":"yabeda-rails","downloads":352,"revisionId":18371,"revision":1,"name":"Yabeda Rails","description":"Basic metrics for web applications built with Ruby on 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metrics.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-01-29T13:49:05.000Z","updatedAt":"2021-07-26T13:13:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11667"},{"rel":"revisions","href":"/dashboards/11667/revisions"},{"rel":"revision","href":"/dashboards/11667/revisions/3"},{"rel":"download","href":"/dashboards/11667/revisions/3/download"},{"rel":"org","href":"/orgs/envek"},{"rel":"images","href":"/dashboards/11667/images"},{"rel":"thumbnails","href":"/dashboards/11667/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12342,"status":1,"statusCode":"active","orgId":361848,"orgSlug":"dsalahutdinov","orgName":"dsalahutdinov","slug":"puma","downloads":3023,"revisionId":17654,"revision":1,"name":"Yabeda::Puma::Plugin","description":"Sample dashboard for puma web-server monitoring tool","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-05-22T09:47:21.000Z","updatedAt":"2020-05-22T09:48:12.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12342"},{"rel":"revisions","href":"/dashboards/12342/revisions"},{"rel":"revision","href":"/dashboards/12342/revisions/1"},{"rel":"download","href":"/dashboards/12342/revisions/1/download"},{"rel":"org","href":"/orgs/dsalahutdinov"},{"rel":"images","href":"/dashboards/12342/images"},{"rel":"thumbnails","href":"/dashboards/12342/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21327,"status":1,"statusCode":"active","orgId":1149545,"orgSlug":"jks0831","orgName":"jks0831","slug":"yace2","downloads":5083,"revisionId":33195,"revision":1,"name":"YACE","description":"Dashboard for the yet-another-cloudwatch-exporter(https://github.com/nerdswords/yet-another-cloudwatch-exporter) exporter scraping AWS resources.","readme":"The config for yet-another-cloudwatch-exporter is this(Feel free to modify as per your requirements):\r\n\r\n```\r\napiVersion: v1alpha1\r\ndiscovery:\r\n  jobs:\r\n    - type: AWS/RDS\r\n      regions:\r\n        - ap-south-1\r\n      period: 300\r\n      length: 300\r\n      dimensionNameRequirements: [DBInstanceIdentifier]\r\n      metrics:\r\n        - name: CPUUtilization\r\n          statistics: [Average]\r\n        - name: MemoryUtilization\r\n          statistics: [Average]\r\n        - name: DatabaseConnections\r\n          statistics: [Average]\r\n        - name: FreeStorageSpace\r\n          statistics: [Average]\r\n        - name: DiskQueueDepth\r\n          statistics: [Average]\r\n        - name: SwapUsage\r\n          statistics: [Average]\r\n        - name: FreeableMemory\r\n          statistics: [Average]    - type: AWS/ES\r\n      regions:\r\n        - ap-south-1\r\n      period: 300\r\n      length: 300\r\n      dimensionNameRequirements: [ClientId, DomainName]\r\n      metrics:\r\n        - name: CPUUtilization\r\n          statistics: [Average]\r\n        - name: JVMMemoryPressure\r\n          statistics: [Average]\r\n        - name: ClusterStatus.red\r\n          statistics: [Maximum]\r\n        - name: SysMemoryUtilization\r\n          statistics: [Maximum]    - type: AWS/ES\r\n      regions:\r\n        - ap-south-1\r\n      period: 300\r\n      length: 300\r\n      dimensionNameRequirements: [ClientId, DomainName, NodeId]\r\n      metrics:\r\n        - name: FreeStorageSpace\r\n          statistics: [Average]    - type: AWS/ElastiCache\r\n      regions:\r\n        - ap-south-1\r\n      period: 300\r\n      length: 300\r\n      dimensionNameRequirements: [CacheClusterId]\r\n      metrics:\r\n        - name: CPUUtilization\r\n          statistics: [Average]\r\n        - name: SwapUsage\r\n          statistics: [Average]\r\n        - name: Evictions\r\n          statistics: [Average]\r\n        - name: FreeableMemory\r\n          statistics: [Average]\r\n        - name: CacheMisses\r\n          statistics: [Average]    - type: AWS/DynamoDB\r\n      regions:\r\n        - ap-south-1\r\n      period: 300\r\n      length: 300\r\n      dimensionNameRequirements: [TableName]\r\n      metrics:\r\n        - name: MemoryUtilization\r\n          statistics: [Average]\r\n        - name: CPUUtilization\r\n          statistics: [Average]\r\n        - name: UserErrors\r\n          statistics: [Average]\r\n        - name: SystemErrors\r\n          statistics: [Average]\r\n        - name: ThrottledRequests\r\n          statistics: [Average]    - type: AWS/Lambda\r\n      regions:\r\n        - ap-south-1\r\n      period: 300\r\n      length: 300\r\n      dimensionNameRequirements: [FunctionName]\r\n      metrics:\r\n        - name: Invocations\r\n          statistics: [Average]\r\n        - name: Duration\r\n          statistics: [Average]\r\n        - name: Errors\r\n          statistics: [Average]    - type: AWS/SQS\r\n      regions:\r\n        - ap-south-1\r\n      period: 300\r\n      length: 300\r\n      dimensionNameRequirements: [QueueName]\r\n      metrics:\r\n        - name: ApproximateNumberOfMessagesDelayed\r\n          statistics: [Average]\r\n        - name: ApproximateNumberOfMessagesNotVisible\r\n          statistics: [Average]    - type: AWS/SNS\r\n      regions:\r\n        - ap-south-1\r\n      period: 300\r\n      length: 300\r\n      dimensionNameRequirements: [TopicName]\r\n      metrics:\r\n        - name: NumberOfNotificationsFailed\r\n          statistics: [Average]    - type: AWS/DocDB\r\n      regions:\r\n        - ap-south-1\r\n      period: 300\r\n      length: 300\r\n      dimensionNameRequirements: [DBInstanceIdentifier]\r\n      metrics:\r\n        - name: CPUUtilization\r\n          statistics: [Average]\r\n        - name: FreeLocalStorage\r\n          statistics: [Average]\r\n        - name: SwapUsage\r\n          statistics: [Average]\r\n        - name: DatabaseConnections\r\n          statistics: [Maximum]\r\n        - name: FreeableMemory\r\n          statistics: [Average]    - type: AWS/ECS\r\n      regions:\r\n        - ap-south-1\r\n      period: 300\r\n      length: 300\r\n      dimensionNameRequirements: [ClusterName]\r\n      metrics:\r\n        - name: CPUUtilization\r\n          statistics: [Average]\r\n        - name: MemoryUtilization\r\n          statistics: [Average]    - type: AWS/ApplicationELB\r\n      regions:\r\n        - ap-south-1\r\n      period: 300\r\n      length: 300\r\n      dimensionNameRequirements: [LoadBalancer]\r\n      metrics:\r\n        - name: RequestCount\r\n          statistics: [Average]\r\n        - name: TargetResponseTime\r\n          statistics: [Average]\r\n        - name: ActiveConnectionCount\r\n          statistics: [Average]\r\n        - name: ConsumedReadCapacityUnits\r\n          statistics: [Average]\r\n        - name: ConsumedWriteCapacityUnits\r\n          statistics: [Average]    - type: AWS/ELB\r\n      regions:\r\n        - ap-south-1\r\n      period: 300\r\n      length: 300\r\n      dimensionNameRequirements: [LoadBalancerName]\r\n      metrics:\r\n        - name: RequestCount\r\n          statistics: [Average]\r\n        - name: TargetResponseTime\r\n          statistics: [Average]\r\n        - name: ActiveConnectionCount\r\n          statistics: [Average]\r\n        - name: ConsumedReadCapacityUnits\r\n          statistics: [Average]\r\n        - name: ConsumedWriteCapacityUnits\r\n          statistics: [Average]    - type: AWS/NetworkELB\r\n      regions:\r\n        - ap-south-1\r\n      period: 300\r\n      length: 300\r\n      dimensionNameRequirements: [LoadBalancer]\r\n      metrics:\r\n        - name: ActiveFlowCount\r\n          statistics: [Average]\r\n        - name: ProcessedBytes\r\n          statistics: [Average]\r\n        - name: ProcessedPackets\r\n          statistics: [Average]    - type: AWS/Redshift\r\n      regions:\r\n        - ap-south-1\r\n      period: 300\r\n      length: 300\r\n      dimensionNameRequirements: [NodeID, ClusterIdentifier]\r\n      metrics:\r\n        - name: CPUUtilization\r\n          statistics: [Average]\r\n        - name: HealthStatus\r\n          statistics: [Average]\r\n        - name: PercentageDiskSpaceUsed\r\n          statistics: [Average]\r\n        - name: DatabaseConnections\r\n          statistics: [Average]    - type: AWS/DMS\r\n      regions:\r\n        - ap-south-1\r\n      period: 300\r\n      length: 300\r\n      dimensionNameRequirements: [ReplicationInstanceIdentifier]\r\n      metrics:\r\n        - name: CPUUtilization\r\n          statistics: [Average]\r\n        - name: FreeableMemory\r\n          statistics: [Average]\r\n        - name: FreeStorageSpace\r\n          statistics: [Average]    - type: AWS/DMS\r\n      regions:\r\n        - ap-south-1\r\n      period: 300\r\n      length: 300\r\n      dimensionNameRequirements: [ReplicationInstanceIdentifier, ReplicationTaskIdentifier]\r\n      metrics:\r\n        - name: CDCLatencyTarget\r\n          statistics: [Average]\r\n        - name: CDCLatencySource\r\n          statistics: [Average]    - type: AWS/S3\r\n      regions:\r\n        - ap-south-1\r\n      period: 86400\r\n      length: 86400\r\n      metrics:\r\n        - name: NumberOfObjects\r\n          statistics: [Average]\r\n        - name: BucketSizeBytes\r\n          statistics: [Average]\r\n```","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2024-06-14T05:45:36.000Z","updatedAt":"2024-06-18T08:26:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21327"},{"rel":"revisions","href":"/dashboards/21327/revisions"},{"rel":"revision","href":"/dashboards/21327/revisions/1"},{"rel":"download","href":"/dashboards/21327/revisions/1/download"},{"rel":"org","href":"/orgs/jks0831"},{"rel":"images","href":"/dashboards/21327/images"},{"rel":"thumbnails","href":"/dashboards/21327/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":10570,"status":1,"statusCode":"active","orgId":266008,"orgSlug":"yachtsense1","orgName":"yachtsense","slug":"yachtsense-devices","downloads":331,"revisionId":14772,"revision":1,"name":"YachtSense Devices","description":"Testing Hosted Grafana","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"flespi-devices-datasource","privacy":"public","createdAt":"2019-07-19T17:19:19.000Z","updatedAt":"2019-07-19T17:24:38.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10570"},{"rel":"revisions","href":"/dashboards/10570/revisions"},{"rel":"revision","href":"/dashboards/10570/revisions/1"},{"rel":"download","href":"/dashboards/10570/revisions/1/download"},{"rel":"org","href":"/orgs/yachtsense1"},{"rel":"images","href":"/dashboards/10570/images"},{"rel":"thumbnails","href":"/dashboards/10570/thumbnails"}],"datasourceSlugs":["flespi-devices-datasource"]},{"id":19018,"status":1,"statusCode":"active","orgId":884287,"orgSlug":"zuki","orgName":"corrupt952","slug":"yamaha-rtx1300","downloads":723,"revisionId":29144,"revision":1,"name":"YAMAHA RTX1300","description":"Dashboard for YAMAHA RTX1300","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-06-21T18:18:50.000Z","updatedAt":"2023-06-21T18:24:27.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19018"},{"rel":"revisions","href":"/dashboards/19018/revisions"},{"rel":"revision","href":"/dashboards/19018/revisions/1"},{"rel":"download","href":"/dashboards/19018/revisions/1/download"},{"rel":"org","href":"/orgs/zuki"},{"rel":"images","href":"/dashboards/19018/images"},{"rel":"thumbnails","href":"/dashboards/19018/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19129,"status":1,"statusCode":"active","orgId":895040,"orgSlug":"sergeokozlov","orgName":"sergeokozlov","slug":"yandex-tank-simple-dashboard","downloads":350,"revisionId":29293,"revision":1,"name":"Yandex-Tank Simple Dashboard","description":"A dashboard for visualizing results from the Yandex-Tank load testing tool, using the InfluxDB 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Uses HON95/prometheus-nut-exporter and DRuggeri/nut_exporter","readme":"A dashboard to visualize statistics from a single UPS. I've optimized it for the Eaton 5S series, but it would theoretically work with anything compatible. Adjust statuses for your UPS in the mapping of \"Status\" and \"Status Change\" panels and enjoy the feeling of control. :)\n\nIt is based on [DRuggeri/nut_exporter](https://github.com/DRuggeri/nut_exporter) and [HON95/prometheus-nut-exporter](https://github.com/HON95/prometheus-nut-exporter) Prometheus NUT Exporters.\n\nHuge kudos to HON95 for providing the [dashboard](https://grafana.com/grafana/dashboards/14371) which this one is built upon. ","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-12-16T18:36:07.000Z","updatedAt":"2022-10-16T20:11:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15406"},{"rel":"revisions","href":"/dashboards/15406/revisions"},{"rel":"revision","href":"/dashboards/15406/revisions/2"},{"rel":"download","href":"/dashboards/15406/revisions/2/download"},{"rel":"org","href":"/orgs/denyago"},{"rel":"images","href":"/dashboards/15406/images"},{"rel":"thumbnails","href":"/dashboards/15406/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20023,"status":1,"statusCode":"active","orgId":985958,"orgSlug":"cd1029866980","orgName":"cd1029866980","slug":"yibiao1","downloads":251,"revisionId":30781,"revision":1,"name":"yibiao1","description":"yibiao","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-11-22T13:18:35.000Z","updatedAt":"2023-11-22T13:19:42.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20023"},{"rel":"revisions","href":"/dashboards/20023/revisions"},{"rel":"revision","href":"/dashboards/20023/revisions/1"},{"rel":"download","href":"/dashboards/20023/revisions/1/download"},{"rel":"org","href":"/orgs/cd1029866980"},{"rel":"images","href":"/dashboards/20023/images"},{"rel":"thumbnails","href":"/dashboards/20023/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18424,"status":1,"statusCode":"active","orgId":827055,"orgSlug":"emplam27","orgName":"emplam27","slug":"yorkie-dashboard","downloads":267,"revisionId":28255,"revision":1,"name":"Yorkie 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applications.","readme":"\r\n\r\nYorkie consists of three main components: Client, Document and Server.\r\n\r\n ```\r\n  Client \"A\" (Go)                 Server                       MemDB or MongoDB\r\n┌───────────────────┐           ┌────────────────────────┐   ┌───────────┐\r\n│  Document \"D-1\"   │◄─Changes─►│  Project \"P-1\"         │   │ Changes   │\r\n│  { a: 1, b: {} }  │           │ ┌───────────────────┐  │◄─►│ Snapshots │\r\n└───────────────────┘           │ │  Document \"D-1\"   │  │   └───────────┘\r\n  Client \"B\" (JS)                │ │  { a: 2, b: {} }  │  │\r\n┌───────────────────┐           │ │                   │  │\r\n│  Document \"D-1\"   │◄─Changes─►│ │  Document \"D-2\"   │  │\r\n│  { a: 2, b: {} }  │           │ │  { a: 3, b: {} }  │  │\r\n└───────────────────┘           │ └───────────────────┘  │\r\n  Admin (CLI, Web)               │                        │\r\n┌────────────────────┐          └────────────────────────┘\r\n│  Query \"Q-1\"       │              ▲\r\n│  P-1.find({a:2})   ├───── Query───┘\r\n└────────────────────┘\r\n ```\r\n\r\n- Clients can have a replica of the document representing an application model locally on several devices.\r\n- Each client can independently update the document on their local device, even while offline.\r\n- When a network connection is available, the client figures out which changes need to be synced from one device to another, and brings them into the same state.\r\n- If the document was changed concurrently on different devices, Yorkie automatically syncs the changes, so that every replica ends up in the same state with resolving conflict.\r\n\r\n## SDKs\r\n\r\nYorkie provides SDKs for Go, JavaScript, iOS, and Android:\r\n\r\n- [Go SDK](https://github.com/yorkie-team/yorkie)\r\n  - Client: https://github.com/yorkie-team/yorkie/tree/main/client\r\n  - Document: https://github.com/yorkie-team/yorkie/tree/main/pkg/document\r\n- [JS SDK](https://github.com/yorkie-team/yorkie-js-sdk)\r\n- [iOS SDK](https://github.com/yorkie-team/yorkie-ios-sdk)\r\n- [Android SDK](https://github.com/yorkie-team/yorkie-android-sdk)\r\n- [Dashboard](https://github.com/yorkie-team/dashboard)\r\n\r\n## Documentation\r\n\r\nFull, comprehensive [documentation](https://yorkie.dev/docs) is available on the Yorkie website.","collectorType":"Other","collectorConfig":null,"collectorPluginList":"prometheus","datasource":null,"privacy":"public","createdAt":"2023-04-19T06:18:28.000Z","updatedAt":"2025-12-19T08:09:38.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18560"},{"rel":"revisions","href":"/dashboards/18560/revisions"},{"rel":"revision","href":"/dashboards/18560/revisions/21"},{"rel":"download","href":"/dashboards/18560/revisions/21/download"},{"rel":"org","href":"/orgs/hackerwins"},{"rel":"images","href":"/dashboards/18560/images"},{"rel":"thumbnails","href":"/dashboards/18560/thumbnails"}]},{"id":23108,"status":1,"statusCode":"active","orgId":1377005,"orgSlug":"adilkurtulmus","orgName":"adilkurtulmus","slug":"youtube-stream-monitoring","downloads":269,"revisionId":36497,"revision":1,"name":"YouTube Stream Monitoring","description":"A comprehensive Grafana dashboard for monitoring YouTube live stream statuses in 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Including stream interruptions, viewer counts and engagement metrics","readme":"YouTube Stream Monitoring Dashboard\r\nThis dashboard provides comprehensive monitoring for YouTube live streams, including status, viewers, and engagement metrics.\r\nFeatures\r\n\r\nLive streaming status (online/offline) monitoring\r\nReal-time viewer count tracking\r\nStream outage detection and alerts\r\nEngagement metrics (views, likes, comments)\r\nHistorical trend analysis\r\n\r\nInstallation\r\n\r\nSet up your Prometheus data source\r\nInstall YouTube Exporter: https://github.com/adilkurtulmus/Youtube_Monitor\r\nUse the following configuration:\r\n\r\nPrometheus Configuration (prometheus.yml)    \r\nscrape_configs:\r\n  - job_name: 'youtube_monitor'\r\n    file_sd_configs:\r\n      - files:\r\n        - youtube_monitor.json\r\n\r\nService Discovery File (youtube_monitor.json)\r\n\r\n[\r\n  {\r\n    \"targets\": [\r\n      \"YouTube_Exporter_IP:8001\"\r\n    ],\r\n    \"labels\": {\r\n      \"job\": \"youtube_monitor\",\r\n      \"service\": \"streaming\"\r\n    }\r\n  }\r\n]\r\n\r\nYouTube Channel Configuration\r\nConfigure your YouTube channel details in the exporter:\r\n\r\nCHANNEL_ID = \"XXXXXXXXXXXXXXXXX-7zw\" # Channel ID        \r\nVIDEO_ID = \"XXXXXXXXXX\"              # Live broadcast ID           \r\nAPI_KEY = \"YOUR-API-KEY\"             # YouTube API key               \r\n\r\nDashboard Features\r\n\r\nStream Status: Real-time online/offline status\r\nViewer Count: Current and historical viewer numbers\r\nOutage Tracking: Count and duration of stream interruptions\r\nAPI Health: Response rates and error tracking\r\nEngagement Metrics: Views, likes, comments over time\r\n\r\nTroubleshooting\r\n\r\nEnsure YouTube API key has proper permissions\r\nCheck Prometheus is correctly scraping the exporter\r\nVerify channel ID and video ID are correct\r\n\r\nFor more information and updates visit:\r\n https://github.com/adilkurtulmus/Youtube_Monitor\r\n\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2025-03-17T14:11:10.000Z","updatedAt":"2025-03-18T05:51:09.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23108"},{"rel":"revisions","href":"/dashboards/23108/revisions"},{"rel":"revision","href":"/dashboards/23108/revisions/1"},{"rel":"download","href":"/dashboards/23108/revisions/1/download"},{"rel":"org","href":"/orgs/adilkurtulmus"},{"rel":"images","href":"/dashboards/23108/images"},{"rel":"thumbnails","href":"/dashboards/23108/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12620,"status":1,"statusCode":"active","orgId":394705,"orgSlug":"isignal","orgName":"iSignal","slug":"yugabytedb","downloads":207533,"revisionId":18186,"revision":2,"name":"YugabyteDB (deprecated)","description":"This dashboard is out of date. It is recommended to use https://github.com/yugabyte/yugabyte-db/tree/master/cloud/grafana instead.","readme":"NOTE: This dashboard is deprecated. For an up to date grafana dashboard that can help monitor YugabyteDB, go to https://github.com/yugabyte/yugabyte-db/tree/master/cloud/grafana instead.\r\n\r\nYugabyteDB is the open source, distributed SQL database for global, internet-scale applications with low query latency, extreme resilience against failures.\r\n\r\nThis dashboard provides a range of metrics to quickly understand the performance and health of YugabyteDB Platform clusters. Metrics are broken down by API types (YSQL, YCQL) and by API methods (Insert, Select, Update, etc).\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-07-10T07:11:38.000Z","updatedAt":"2025-02-14T23:07:36.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12620"},{"rel":"revisions","href":"/dashboards/12620/revisions"},{"rel":"revision","href":"/dashboards/12620/revisions/2"},{"rel":"download","href":"/dashboards/12620/revisions/2/download"},{"rel":"org","href":"/orgs/isignal"},{"rel":"images","href":"/dashboards/12620/images"},{"rel":"thumbnails","href":"/dashboards/12620/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12528,"status":1,"statusCode":"active","orgId":394705,"orgSlug":"isignal","orgName":"iSignal","slug":"yugabytedb","downloads":353,"revisionId":17994,"revision":1,"name":"YugabyteDB (deprecated)","description":"Note: It is recommended to use https://github.com/yugabyte/yugabyte-db/tree/master/cloud/grafana instead, this dashboard is out of date.\r\n\r\n\r\nYugabyteDB is the open source, distributed SQL database for global, internet-scale applications with low query latency, extreme resilience against failures.\r\n","readme":"NOTE: This dashboard is deprecated. For an up to date grafana dashboard that can help monitor YugabyteDB, go to https://github.com/yugabyte/yugabyte-db/tree/master/cloud/grafana instead.\r\n\r\n\r\nYugabyteDB is the open source, distributed SQL database for global, internet-scale applications with low query latency, extreme resilience against failures.\r\n\r\nThis dashboard provides a range of metrics to quickly understand the performance and health of YugabyteDB clusters. Metrics are broken down by API types (YSQL, YCQL) and by API methods (Insert, Select, Update, etc).\r\n\r\nThe metrics in this graph are based on a Prometheus data source. Prometheus can be configured to scrape YugabyteDB endpoints as shown [here](https://docs.yugabyte.com/latest/explore/observability/docker/).\r\n\r\nIt is recommended that users additionally use node_exporter or Kubernetes pod metrics to augment this dashboard.\r\n\r\nTo customize this dashboard and explore other metrics available to monitor YugabyteDB, [this blog post](https://blog.yugabyte.com/monitoring-yugabytedb-with-prometheus-and-grafana-in-kubernetes/) is a good starting point.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-06-25T17:53:06.000Z","updatedAt":"2025-02-14T23:06:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12528"},{"rel":"revisions","href":"/dashboards/12528/revisions"},{"rel":"revision","href":"/dashboards/12528/revisions/1"},{"rel":"download","href":"/dashboards/12528/revisions/1/download"},{"rel":"org","href":"/orgs/isignal"},{"rel":"images","href":"/dashboards/12528/images"},{"rel":"thumbnails","href":"/dashboards/12528/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19887,"status":1,"statusCode":"active","orgId":977233,"orgSlug":"svcghybm","orgName":"YugabyteDB Managed","slug":"yugabytedb-managed-clusters","downloads":355,"revisionId":30556,"revision":1,"name":"YugabyteDB Managed Clusters","description":"Monitor YugabyteDB Managed Clusters","readme":"YugabyteDB Managed is a fully managed YugabyteDB-as-a-Service that allows you to run YugabyteDB clusters on Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).\r\n\r\nThis dashboard provides the ability for users to export observability metrics to a customer managed Grafana cloud offering. The Grafana consumption endpoint for metrics can be used to troubleshoot performance issues in YugabyteDB that may arise due to bad queries, app related changes, faults in data center or cloud commodity infrastructure that the YugabyteDB runs on, and any DB internal issues.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-10-30T17:42:36.000Z","updatedAt":"2023-10-30T17:45:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19887"},{"rel":"revisions","href":"/dashboards/19887/revisions"},{"rel":"revision","href":"/dashboards/19887/revisions/1"},{"rel":"download","href":"/dashboards/19887/revisions/1/download"},{"rel":"org","href":"/orgs/svcghybm"},{"rel":"images","href":"/dashboards/19887/images"},{"rel":"thumbnails","href":"/dashboards/19887/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":19020,"status":1,"statusCode":"active","orgId":882730,"orgSlug":"robvdheij","orgName":"robvdheij","slug":"z-vm-apvirt-and-crypto-express","downloads":424,"revisionId":36638,"revision":2,"name":"z/VM APVIRT and Crypto Express","description":"This dashboard is useful for customers using z/VM® with IBM Crypto Express Cryptographic Coprocessors.","readme":"This dashboard is useful for customers using z/VM® with IBM Crypto Express Cryptographic Coprocessors.\r\nThe different panels in the dashboard show throughput rate and response time for\r\nvarious cryptographic operations performed by the Crypto Express adapters, as well as the performance metrics\r\nfor the virtualization of the adapters as done by z/VM.\r\n\r\nThe metrics to populate the dashboard are provided by the default configuration of the z/VM Performance Data Pump\r\nwhen Crypto Express hardware is configured in the system.\r\n\r\nThis dashboard is licensed by IBM under the Apache 2.0 License and is provided ‘as is’ without warranty,\r\nrepresentation, support, maintenance or an obligation to issue updates.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-06-22T09:00:17.000Z","updatedAt":"2026-05-15T15:41:49.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19020"},{"rel":"revisions","href":"/dashboards/19020/revisions"},{"rel":"revision","href":"/dashboards/19020/revisions/2"},{"rel":"download","href":"/dashboards/19020/revisions/2/download"},{"rel":"org","href":"/orgs/robvdheij"},{"rel":"images","href":"/dashboards/19020/images"},{"rel":"thumbnails","href":"/dashboards/19020/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19028,"status":1,"statusCode":"active","orgId":882730,"orgSlug":"robvdheij","orgName":"robvdheij","slug":"z-vm-cpu-cache-metrics","downloads":447,"revisionId":40760,"revision":4,"name":"z/VM CPU Cache Metrics","description":"The dashboard shows detailed metrics about CPU cache miss ratio, cycles per instruction, memory references, and Relative Nest Intensity.","readme":"The dashboard shows detailed metrics about CPU cache miss ratio, cycles per instruction,\r\nmemory references, and Relative Nest Intensity. The data helps understand how efficient\r\nthe workload runs in this configuration. Charts are provided as overall average and per\r\nlogical CPU of the z/VM® system.\r\n\r\nThe data to populate the dashboard is only available when Performance Data Collection\r\nis enabled in the profile of the logical partition. This is visible in the output of\r\nQUERY MONITOR SAMPLE as CPUMFC (rather than NOCPUMFC).\r\nWhen available, the data is extracted by the default configuration of the Data Pump.\r\n\r\nThis dashboard is licensed by IBM under the Apache 2.0 License and is provided ‘as is’ without warranty, \r\nrepresentation, support, maintenance or an obligation to issue updates.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-06-22T19:34:06.000Z","updatedAt":"2026-05-15T15:58:29.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19028"},{"rel":"revisions","href":"/dashboards/19028/revisions"},{"rel":"revision","href":"/dashboards/19028/revisions/4"},{"rel":"download","href":"/dashboards/19028/revisions/4/download"},{"rel":"org","href":"/orgs/robvdheij"},{"rel":"images","href":"/dashboards/19028/images"},{"rel":"thumbnails","href":"/dashboards/19028/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23265,"status":1,"statusCode":"active","orgId":882730,"orgSlug":"robvdheij","orgName":"robvdheij","slug":"z-vm-energy-consumption","downloads":316,"revisionId":36899,"revision":2,"name":"z/VM Energy Consumption","description":"The dashboard provides an overview of the power usage of the Central Processor Complex (CPC) as well as the power usage apportioned to the z/VM Logical Partition (LPAR).","readme":"The dashboard provides an overview of the power usage of the Central Processor Complex (CPC)\r\nas well as the power usage apportioned to the z/VM Logical Partition (LPAR).\r\n\r\nThe z/VM power usage is further broken down into portions used for processing, for I/O, and for memory.\r\n\r\nThe total z/VM power usage is also broken down by workload type. For the Linux portion of the workload,\r\nan additional breakdown by guest is provided. These z/VM power metrics are also shown in time-series charts\r\nto visualize trends and patterns. The breakdown by workload type and guest is based on relative usage\r\nof CPU capacity.\r\n\r\nIn addition to the current power usage, the energy consumption over the past 24 hours is also provided.\r\nThis is shown for the entire z/VM system as well as by Linux guest.\r\nA detailed description is provided as [Dashboard for z/VM Energy Consumption](https://www.vm.ibm.com/related/perfkit/datapump/pdppower.pdf).\r\n\r\n**Note:** The power usage metrics are provided by z/VM when running on z17 hardware and appropriate service has been installed.\r\nFor z/VM 7.4 the APARs VM66824 and VM66826 apply, for z/VM 7.3 the APARs are VM66823 and VM66825.\r\nWhen provided by the z/VM monitor, the metrics are extracted with the default configuration of the\r\nz/VM Performance Data Pump.\r\n\r\nThis dashboard is licensed by IBM under the Apache 2.0 License and is provided ‘as is’ without warranty,\r\nrepresentation, support, maintenance or an obligation to issue updates.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"__expr__, InfluxDB","privacy":"public","createdAt":"2025-04-17T09:57:11.000Z","updatedAt":"2026-05-15T15:57:30.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23265"},{"rel":"revisions","href":"/dashboards/23265/revisions"},{"rel":"revision","href":"/dashboards/23265/revisions/2"},{"rel":"download","href":"/dashboards/23265/revisions/2/download"},{"rel":"org","href":"/orgs/robvdheij"},{"rel":"images","href":"/dashboards/23265/images"},{"rel":"thumbnails","href":"/dashboards/23265/thumbnails"}],"datasourceSlugs":["__expr__","influxdb"]},{"id":25301,"status":1,"statusCode":"active","orgId":882730,"orgSlug":"robvdheij","orgName":"robvdheij","slug":"z-vm-link-aggregation","downloads":0,"revisionId":40773,"revision":1,"name":"z/VM Link Aggregation","description":"This Grafana dashboard provides detailed visibility into z/VM virtual network (VSWITCH) link aggregation, focusing on throughput across external and internal paths for each LAN.","readme":"This Grafana dashboard provides detailed visibility into z/VM virtual network (VSWITCH) link aggregation, focusing on throughput across external and internal paths for each LAN. \r\n\r\nIt enables analysis at multiple levels by breaking down traffic into receive/transmit metrics per LAN, per user (guest), and per virtual NIC, helping identify workload distribution and network usage patterns. \r\n\r\nThe dashboard also highlights load balancing effectiveness by showing per-device traffic rates within aggregated links, allowing operators to detect imbalances and optimize network performance.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2026-05-15T15:33:22.000Z","updatedAt":"2026-05-22T13:58:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25301"},{"rel":"revisions","href":"/dashboards/25301/revisions"},{"rel":"revision","href":"/dashboards/25301/revisions/1"},{"rel":"download","href":"/dashboards/25301/revisions/1/download"},{"rel":"org","href":"/orgs/robvdheij"},{"rel":"images","href":"/dashboards/25301/images"},{"rel":"thumbnails","href":"/dashboards/25301/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":21407,"status":1,"statusCode":"active","orgId":882730,"orgSlug":"robvdheij","orgName":"robvdheij","slug":"z-vm-linux-guest-detail","downloads":424,"revisionId":40761,"revision":4,"name":"z/VM Linux Guest Detail","description":"The dashboard provides detailed performance data for a single z/VM® Linux guest with a focus on resource consumption and resource sharing.","readme":"The dashboard provides detailed performance data for a single z/VM® Linux guest with a focus on resource consumption and resource sharing. The information is most relevant for larger Linux guest with several virtual CPUs.\r\n\r\nThe top rows of the dashboard present metrics that apply to the entire virtual machine, like the total CPU usage over time split in Guest usage and CP service time, resident and paged-out memory of the guest, ECKD DASD I/O rates, and Network traffic through Virtual Switch. For easy reference, panels show the number of virtual CPUs, SHARE setting, and memory size.\r\nFor Linux guests with multiple virtual CPUs, the panel with DIAG 9C provides an indication of spinlock contention in the application. The virtual machine state panel is a high-level display showing whether the guest is waiting for CPU resources.\r\n\r\nThe row with Virtual Machine Dispatch panels shows the combination of resource consumption and latency, which helps understand whether the Linux guest receives resources in a timely manner.\r\n\r\nThe bottom rows show various metrics by virtual CPU (as selected by the pull-down menu). This amount of detail is mostly interesting when virtual CPUs are set online and offline dynamically over time.\r\n\r\nFor those who prefer a diverging (positive/negative) axis view, you can invert one metric—such as transmit traffic—by adding a negative sign in the query (for example, multiply the value by -1). This allows receive and transmit values to appear on opposite sides of the axis, recreating the traditional split-visualization style.\r\n\r\nThis dashboard is licensed by IBM under the Apache 2.0 License and is provided ‘as is’ without warranty, representation, support, maintenance or an obligation to issue updates.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2024-06-28T12:49:55.000Z","updatedAt":"2026-05-15T16:18:53.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21407"},{"rel":"revisions","href":"/dashboards/21407/revisions"},{"rel":"revision","href":"/dashboards/21407/revisions/4"},{"rel":"download","href":"/dashboards/21407/revisions/4/download"},{"rel":"org","href":"/orgs/robvdheij"},{"rel":"images","href":"/dashboards/21407/images"},{"rel":"thumbnails","href":"/dashboards/21407/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19263,"status":1,"statusCode":"active","orgId":882730,"orgSlug":"robvdheij","orgName":"robvdheij","slug":"z-vm-lpar-overview","downloads":480,"revisionId":40762,"revision":7,"name":"z/VM LPAR Overview","description":"The dashboard shows CPU usage of the entire physical machine where the z/VM® system is running.","readme":"The dashboard shows CPU usage of the entire physical machine where the z/VM® system is running.\r\nA breakdown is provided by LPAR as well as specialty engine type.\r\nThe dashboard shows LPAR weights and utilization over time, providing helpful indications on\r\npossible contention on the PR/SM level.\r\n\r\nThis dashboard is licensed by IBM under the Apache 2.0 License and is provided ‘as is’ without warranty,\r\nrepresentation, support, maintenance or an obligation to issue updates.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-08-01T10:34:40.000Z","updatedAt":"2026-05-15T15:59:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19263"},{"rel":"revisions","href":"/dashboards/19263/revisions"},{"rel":"revision","href":"/dashboards/19263/revisions/7"},{"rel":"download","href":"/dashboards/19263/revisions/7/download"},{"rel":"org","href":"/orgs/robvdheij"},{"rel":"images","href":"/dashboards/19263/images"},{"rel":"thumbnails","href":"/dashboards/19263/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19003,"status":1,"statusCode":"active","orgId":882730,"orgSlug":"robvdheij","orgName":"robvdheij","slug":"z-vm-memory-and-paging","downloads":465,"revisionId":39158,"revision":4,"name":"z/VM Memory and Paging","description":"The dashboard shows memory usage and paging in a single z/VM® system.","readme":"The dashboard shows memory usage and paging in a single z/VM® system. Simple meters shows the current utilization, while charts visualize trends from recent history. Charts provide a breakdown of usage by user class, and show key metrics of the  global aging list. Detailed breakdown of memory and paging usage by Linux guest is also shown.\r\nThe dashboard is populated by the default set of metrics provided by the z/VM Performance Data Pump.\r\n\r\nThis dashboard is licensed by IBM under the Apache 2.0 License and is provided ‘as is’ without warranty, representation, support, maintenance or an obligation to issue updates.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-06-20T06:23:36.000Z","updatedAt":"2026-05-15T15:59:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19003"},{"rel":"revisions","href":"/dashboards/19003/revisions"},{"rel":"revision","href":"/dashboards/19003/revisions/4"},{"rel":"download","href":"/dashboards/19003/revisions/4/download"},{"rel":"org","href":"/orgs/robvdheij"},{"rel":"images","href":"/dashboards/19003/images"},{"rel":"thumbnails","href":"/dashboards/19003/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19311,"status":1,"statusCode":"active","orgId":882730,"orgSlug":"robvdheij","orgName":"robvdheij","slug":"z-vm-multi-system-overview","downloads":428,"revisionId":40764,"revision":3,"name":"z/VM Multi-System Overview","description":"The dashboard is intended to provide an overview of multiple z/VM® systems in a single dashboard.","readme":"The dashboard is intended to provide an overview of multiple z/VM®\r\nsystems in a single dashboard, not necessarily restricted to the\r\nsame Single System Image (SSI). For each of the selected z/VM systems,\r\nthe dashbooard shows CPU, memory, network and disk I/O metrics.\r\n\r\nInstallations running multiple z/VM systems may find this dashboard a convenient home screen to start investigation of system performance.\r\n\r\nFor those who prefer a diverging (positive/negative) axis view, you can invert one metric—such as transmit traffic—by adding a negative sign in the query (for example, multiply the value by -1). This allows receive and transmit values to appear on opposite sides of the axis, recreating the traditional split-visualization style.\r\n\r\nThis dashboard is licensed by IBM under the Apache 2.0 License and is provided ‘as is’ without warranty,\r\nrepresentation, support, maintenance or an obligation to issue updates.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-08-07T10:07:42.000Z","updatedAt":"2026-05-15T16:13:41.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19311"},{"rel":"revisions","href":"/dashboards/19311/revisions"},{"rel":"revision","href":"/dashboards/19311/revisions/3"},{"rel":"download","href":"/dashboards/19311/revisions/3/download"},{"rel":"org","href":"/orgs/robvdheij"},{"rel":"images","href":"/dashboards/19311/images"},{"rel":"thumbnails","href":"/dashboards/19311/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":23458,"status":1,"statusCode":"active","orgId":882730,"orgSlug":"robvdheij","orgName":"robvdheij","slug":"z-vm-neural-network-processor","downloads":278,"revisionId":40765,"revision":2,"name":"z/VM Neural Network Processor","description":"The dashboard shows various performance metrics of the AI Accelerator introduced with z16 Telum processor to perform various neural network tensor operations.","readme":"The dashboard shows various performance metrics of the AI Accelerator introduced with z16 Telum processor to perform various neural network tensor operations. For z/VM® this function can be exploited by a Linux on IBM Z workload.\r\n\r\nDifferent charts on the dashboard show the average execution time and waiting time per NNPA operation, the utilization by AI Accelerator and the total utilization from the z/VM workload. The Linux on z/VM workload is shown as breakdown in AI Accelerator and General Purpose CPU usage to provide insight in the type of workload. An additional chart shows total CPU usage by Linux guest, making it easier to distinguish the AI workload in a configuration with other workload.\r\n\r\nFor z17 the charts also show the usage of AI Accelerator on other chips in the machine and provide insight in the performance improvements by avoiding waiting for a busy AI Accelerator.\r\n\r\nA detailed description is provided as [Dashboard for z/VM Neural Network Processor](https://www.vm.ibm.com/related/perfkit/datapump/pdpnnpa.pdf).\r\n\r\nThis dashboard is licensed by IBM under the Apache 2.0 License and is provided ‘as is’ without warranty, representation, support, maintenance or an obligation to issue updates.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2025-05-21T09:43:00.000Z","updatedAt":"2026-05-15T16:01:26.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/23458"},{"rel":"revisions","href":"/dashboards/23458/revisions"},{"rel":"revision","href":"/dashboards/23458/revisions/2"},{"rel":"download","href":"/dashboards/23458/revisions/2/download"},{"rel":"org","href":"/orgs/robvdheij"},{"rel":"images","href":"/dashboards/23458/images"},{"rel":"thumbnails","href":"/dashboards/23458/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19002,"status":1,"statusCode":"active","orgId":882730,"orgSlug":"robvdheij","orgName":"robvdheij","slug":"z-vm-overview","downloads":653,"revisionId":40766,"revision":7,"name":"z/VM Overview","description":"The dashboard provides a high level performance overview of the z/VM® hypervisor as collected by the z/VM Performance Data Pump using the default configuration.","readme":"The dashboard provides a high level performance overview of the z/VM® hypervisor as collected by the z/VM Performance Data Pump using the default configuration. The focus of the dashboard is a single z/VM system; the pull-down selection can be used to show data from another z/VM system.\r\nThe dashboard shows overall CPU- and memory usage, and network and disk I/O throughput. Additional rows of panels provide metrics on the other partitions on the same machine to better understand CPU contention on LPAR-level. A usage break-down by user class is provided to analyze CPU contention within the z/VM system.\r\nA row with dashboard lists contains the pointers to other installed dashboards, making it a good home dashboard.\r\n\r\nFor those who prefer a diverging (positive/negative) axis view, you can invert one metric—such as transmit traffic—by adding a negative sign in the query (for example, multiply the value by -1). This allows receive and transmit values to appear on opposite sides of the axis, recreating the traditional split-visualization style.\r\n\r\nThis dashboard is licensed by IBM under the Apache 2.0 License and is provided ‘as is’ without warranty, representation, support, maintenance or an obligation to issue updates.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-06-20T05:33:30.000Z","updatedAt":"2026-05-15T16:15:07.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19002"},{"rel":"revisions","href":"/dashboards/19002/revisions"},{"rel":"revision","href":"/dashboards/19002/revisions/7"},{"rel":"download","href":"/dashboards/19002/revisions/7/download"},{"rel":"org","href":"/orgs/robvdheij"},{"rel":"images","href":"/dashboards/19002/images"},{"rel":"thumbnails","href":"/dashboards/19002/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19138,"status":1,"statusCode":"active","orgId":882730,"orgSlug":"robvdheij","orgName":"robvdheij","slug":"z-vm-shared-file-system-usage","downloads":428,"revisionId":40767,"revision":3,"name":"z/VM Shared File System Usage","description":"The dashboard is useful for installations that use z/VM® Shared File System to store application or system data and need to monitor space usage.","readme":"The dashboard is useful for installations that use z/VM® Shared File System to\r\nstore application or system data and need to monitor space usage.\r\nInstallations that only use SFS for the standard IBM processes may not find\r\nmuch value in the dashboard.\r\n\r\nThis dashboard is licensed by IBM under the Apache 2.0 License and is provided ‘as is’ without warranty,\r\nrepresentation, support, maintenance or an obligation to issue updates.\r\n\r\n### Configuration\r\n\r\nAs the SFS usage data is not in the monitor data, you need to add an\r\nadditional section to the Data Pump configuration file to enable the data collection.\r\nThe *filepool* parameter specifies the file pools to monitor.\r\nRefer to the Performance Toolkit documentation for advanced parameters.\r\n```\r\n[sfs]\r\n  type = sfs\r\n  filepool = gplsrv1 gplsrv2 gplsrv3\r\n```\r\nThe SFS section generates measurements *sfsgrp*, *sfsuse*, and *sfslog*.\r\nWhen you want to retain this data longer than the detailed performance data,\r\ncreate an additional InfluxDB database and divert the SFS measurements to that\r\ndatabase (named \"zvm_long\" in this example).\r\n```\r\n[long]\r\n   type = InfluxDB\r\n   url = ....\r\n   db = zvm_long\r\n   include = sfsgrp sfsuse sfslog\r\n```\r\nDefine a Grafana data source to point to that InfluxDB database,\r\nand remember to select that data source when importing the dashboard.\r\n~","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-07-10T12:02:07.000Z","updatedAt":"2026-05-15T15:45:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19138"},{"rel":"revisions","href":"/dashboards/19138/revisions"},{"rel":"revision","href":"/dashboards/19138/revisions/3"},{"rel":"download","href":"/dashboards/19138/revisions/3/download"},{"rel":"org","href":"/orgs/robvdheij"},{"rel":"images","href":"/dashboards/19138/images"},{"rel":"thumbnails","href":"/dashboards/19138/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":25299,"status":1,"statusCode":"active","orgId":882730,"orgSlug":"robvdheij","orgName":"robvdheij","slug":"z-vm-ssi-cluster","downloads":0,"revisionId":40771,"revision":1,"name":"z/VM SSI Cluster","description":"This Grafana dashboard provides a cluster-wide and per-member view of a z/VM SSI 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performance.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2026-05-15T15:18:42.000Z","updatedAt":"2026-05-22T13:56:44.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/25299"},{"rel":"revisions","href":"/dashboards/25299/revisions"},{"rel":"revision","href":"/dashboards/25299/revisions/1"},{"rel":"download","href":"/dashboards/25299/revisions/1/download"},{"rel":"org","href":"/orgs/robvdheij"},{"rel":"images","href":"/dashboards/25299/images"},{"rel":"thumbnails","href":"/dashboards/25299/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19158,"status":1,"statusCode":"active","orgId":882730,"orgSlug":"robvdheij","orgName":"robvdheij","slug":"z-vm-ssi-overview","downloads":418,"revisionId":40768,"revision":3,"name":"z/VM SSI Overview","description":"The dashboard is useful for customer using z/VM® Single System Image.","readme":"The 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This allows receive and transmit values to appear on opposite sides of the axis, recreating the traditional split-visualization style.\r\n\r\nThis dashboard is licensed by IBM under the Apache 2.0 License and is provided ‘as is’ without warranty,\r\nrepresentation, support, maintenance or an obligation to issue updates.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-07-12T10:37:48.000Z","updatedAt":"2026-05-15T16:15:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19158"},{"rel":"revisions","href":"/dashboards/19158/revisions"},{"rel":"revision","href":"/dashboards/19158/revisions/3"},{"rel":"download","href":"/dashboards/19158/revisions/3/download"},{"rel":"org","href":"/orgs/robvdheij"},{"rel":"images","href":"/dashboards/19158/images"},{"rel":"thumbnails","href":"/dashboards/19158/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":19204,"status":1,"statusCode":"active","orgId":882730,"orgSlug":"robvdheij","orgName":"robvdheij","slug":"z-vm-virtual-switch-activity","downloads":467,"revisionId":40769,"revision":5,"name":"z/VM Virtual Switch Activity","description":"Shows activity for Virtual Switch and Guest LAN with virtual NICs connected","readme":"The dashboard shows throughput of z/VM® Virtual Switch used to provide network connectivity to guests.\r\nFor each of the selected virtual switches, charts show inbound and outbound traffic over time,\r\nfor the external interfaces as well as aggregated for all connected virtual network interfaces.\r\n\r\nIn addition, a chart shows the breakdown of internal traffic by Linux guest.\r\nFor selected Linux guests, the throughput is shown by virtual switch, both inbound and outbound.\r\n\r\nThe default configuration of the z/VM Performance Data Pump collects the metrics used in the dashboard.\r\n\r\nFor those who prefer a diverging (positive/negative) axis view, you can invert one metric—such as transmit traffic—by adding a negative sign in the query (for example, multiply the value by -1). This allows receive and transmit values to appear on opposite sides of the axis, recreating the traditional split-visualization style.\r\n\r\nThis dashboard is licensed by IBM under the Apache 2.0 License and is provided ‘as is’ without warranty,\r\nrepresentation, support, maintenance or an obligation to issue updates.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2023-07-20T15:01:07.000Z","updatedAt":"2026-05-15T16:16:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19204"},{"rel":"revisions","href":"/dashboards/19204/revisions"},{"rel":"revision","href":"/dashboards/19204/revisions/5"},{"rel":"download","href":"/dashboards/19204/revisions/5/download"},{"rel":"org","href":"/orgs/robvdheij"},{"rel":"images","href":"/dashboards/19204/images"},{"rel":"thumbnails","href":"/dashboards/19204/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":699,"status":1,"statusCode":"active","orgId":18463,"orgSlug":"thiagosantos","orgName":"Thiago  Santos","slug":"zabbix-ambiente-total-zabbix-brasil-oficial","downloads":6708,"revisionId":966,"revision":1,"name":"Zabbix  - Ambiente Total - Zabbix-Brasil (Oficial)","description":"Console de Monitoramento total do ambiente Zabbix. Adapte as suas configurações e tenha seu ambiente Zabbix facilmente monitorado.\r\nSecond Version : https://grafana.com/dashboards/1501\r\n\r\nKeep-it Simple!","readme":"- Instale o Plugin Zabbix;\r\n- Realize os apontamentos do Data source dos hosts do Zabbix que deseja Monitorar;\r\n- Template criada para ambientes com Banco, Zabbix-Server e Zabbix-Proxy sendo utilizados em Servidores Fisicos ou Virtuais em separado;\r\n- Customize cores e atualize nomes;\r\n- Monitore as Urls do seu Ambiente Zabbix;\r\nSegunda Versão: https://grafana.com/dashboards/1501\r\n- = - = - = - = - = - \r\n\r\n- Install Plugin Zabbix;\r\n- Point the Data source of Zabbix hosts you want to monitor;\r\n- The Dashboard was created for environments with Bank Mysql, Zabbix-Server and Proxy-Zabbix being used on physical servers or virtual separately;\r\n- Customize colors and update names;\r\n- Be happy!\r\n- Spread!\r\n**Second Version : https://grafana.com/dashboards/1501\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2016-10-20T17:39:51.000Z","updatedAt":"2017-05-22T04:43:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/699"},{"rel":"revisions","href":"/dashboards/699/revisions"},{"rel":"revision","href":"/dashboards/699/revisions/1"},{"rel":"download","href":"/dashboards/699/revisions/1/download"},{"rel":"org","href":"/orgs/thiagosantos"},{"rel":"images","href":"/dashboards/699/images"},{"rel":"thumbnails","href":"/dashboards/699/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":19132,"status":1,"statusCode":"active","orgId":483492,"orgSlug":"sardinhainfr","orgName":"sardinhainfr","slug":"zabbix-ambiente-total-zabbix-brasil-oficial","downloads":342,"revisionId":29300,"revision":1,"name":"Zabbix  - Ambiente Total - Zabbix-Brasil (Oficial)","description":"Console de Monitoramento total do ambiente Zabbix. Adapte as suas configurações e tenha seu ambiente Zabbix facilmente monitorado.\r\nSecond Version : https://grafana.com/dashboards/1501\r\n\r\nKeep-it Simple!","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2023-07-08T01:33:43.000Z","updatedAt":"2023-07-08T01:40:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/19132"},{"rel":"revisions","href":"/dashboards/19132/revisions"},{"rel":"revision","href":"/dashboards/19132/revisions/1"},{"rel":"download","href":"/dashboards/19132/revisions/1/download"},{"rel":"org","href":"/orgs/sardinhainfr"},{"rel":"images","href":"/dashboards/19132/images"},{"rel":"thumbnails","href":"/dashboards/19132/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":1501,"status":1,"statusCode":"active","orgId":18463,"orgSlug":"thiagosantos","orgName":"Thiago  Santos","slug":"zabbix-controle-v2","downloads":4684,"revisionId":2606,"revision":3,"name":"ZABBIX - CONTROLE v2.2","description":"Dashboard que mostra o desempenho atual do servidor, banco de dados e de seus 3 proxys. \r\n#PFV CRIEM NOVOS MODELOS! NÃO COPIEM OS EXISTENTES! VAMOS DESENVOLVER A CRIATIVIDADE!!!! thx","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2017-02-14T19:24:13.000Z","updatedAt":"2018-02-13T15:53:32.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/1501"},{"rel":"revisions","href":"/dashboards/1501/revisions"},{"rel":"revision","href":"/dashboards/1501/revisions/3"},{"rel":"download","href":"/dashboards/1501/revisions/3/download"},{"rel":"org","href":"/orgs/thiagosantos"},{"rel":"images","href":"/dashboards/1501/images"},{"rel":"thumbnails","href":"/dashboards/1501/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":21272,"status":1,"statusCode":"active","orgId":1090701,"orgSlug":"monitoramentoavigilon","orgName":"monitoramentoavigilon","slug":"zabbix-controle-v2-2","downloads":256,"revisionId":33117,"revision":1,"name":"ZABBIX - CONTROLE v2.2","description":"Dashboard que mostra o desempenho atual do servidor, banco de dados e de seus 3 proxys. \r\n#PFV CRIEM NOVOS MODELOS! 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Helps to understand the storage and optimize it","readme":"## Zabbix DB Auditor\r\nDashboard designed to analyze and optimize Zabbix database. Allows you to easily evaluate hosts and templates at a glance.\r\nThe dashboard has its [own repository](https://github.com/pavlozt/zabbix-db-auditor/)\r\n\r\n## Features\r\n\r\n- **Easy-to-evaluate dashboard** - using modern type of visualization [Treemap]( https://grafana.com/grafana/plugins/marcusolsson-treemap-panel/).\r\n- **Quick loading**   - due to approximate analysis of the data planned for the storage.\r\n- **Filters** - filters by host groups and hosts.\r\n- **Accurate counting** - If necessary, it can count the items actually stored in tables.It also counts data from deleted hosts that has not yet been cleared.\r\n\r\n## Database access\r\nNormal read-only access to the database is fine. However, it is recommended to set up detailed grants. 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monitoring for linux web server with Zabbix : Nginx, MySQL\r\n","readme":"Stack used : \r\n- Zabbix v4.0 beta\r\n- Grafana v5.2.4\r\n\r\nAdditional Zabbix templates : \r\n- Nginx template :  https://github.com/AlexGluck/ZBX_NGINX","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2018-09-07T15:52:34.000Z","updatedAt":"2018-09-25T15:18:19.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/7877"},{"rel":"revisions","href":"/dashboards/7877/revisions"},{"rel":"revision","href":"/dashboards/7877/revisions/1"},{"rel":"download","href":"/dashboards/7877/revisions/1/download"},{"rel":"org","href":"/orgs/virtubox"},{"rel":"images","href":"/dashboards/7877/images"},{"rel":"thumbnails","href":"/dashboards/7877/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":14637,"status":1,"statusCode":"active","orgId":209997,"orgSlug":"xiongwei","orgName":"xiong wei","slug":"zabbix-monitor-system-running-status","downloads":545,"revisionId":21717,"revision":1,"name":"Zabbix Monitor System Running 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Para que estes itens possam ser coletados corretamente, deve-se habilitá-los conforme a documentação oficial:\r\nhttps://www.zabbix.com/documentation/3.2/manual/config/items/itemtypes/zabbix_agent\r\n\r\nPara facilitação segue as keys das mesmas:\r\n\r\nServer uptime:\r\nsystem.uptime\r\n\r\nHosts monitorados:\r\nzabbix[hosts]\r\n\r\nTotal de itens monitorados:\r\nzabbix[items]","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2017-03-28T20:24:34.000Z","updatedAt":"2018-02-13T15:54:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/1792"},{"rel":"revisions","href":"/dashboards/1792/revisions"},{"rel":"revision","href":"/dashboards/1792/revisions/1"},{"rel":"download","href":"/dashboards/1792/revisions/1/download"},{"rel":"org","href":"/orgs/allan"},{"rel":"images","href":"/dashboards/1792/images"},{"rel":"thumbnails","href":"/dashboards/1792/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":333,"status":1,"statusCode":"active","orgId":26100,"orgSlug":"aeciopires","orgName":"Aecio Pires","slug":"zabbix-server-3-0-x","downloads":2103,"revisionId":1446,"revision":4,"name":"Zabbix Server 3.0.X","description":"Displays metrics collected by the host Zabbix Server","readme":"Displays metrics collected by the host Zabbix Server.\r\n\r\nResolution: 1920px x 1080px (16:9)\r\n\r\nDashboard developed by [Aécio Pires](http://aeciopires.com), a member of community **Zabbix-BR** [http://zabbixbrasil.org](http://zabbixbrasil.org)\r\n\r\nThis dashboad use the datasource Zabbix provide by plugin grafana-zabbix developed Alexander Zobnin [https://github.com/alexanderzobnin/grafana-zabbix](https://github.com/alexanderzobnin/grafana-zabbix)","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2016-08-15T20:43:46.000Z","updatedAt":"2016-11-29T18:06:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/333"},{"rel":"revisions","href":"/dashboards/333/revisions"},{"rel":"revision","href":"/dashboards/333/revisions/4"},{"rel":"download","href":"/dashboards/333/revisions/4/download"},{"rel":"org","href":"/orgs/aeciopires"},{"rel":"images","href":"/dashboards/333/images"},{"rel":"thumbnails","href":"/dashboards/333/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":733,"status":1,"statusCode":"active","orgId":32668,"orgSlug":"and","orgName":"and","slug":"zabbix-server-3-0-x","downloads":1321,"revisionId":1012,"revision":1,"name":"Zabbix 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[https://github.com/alexanderzobnin/grafana-zabbix](https://github.com/alexanderzobnin/grafana-zabbix).","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2016-11-01T17:57:26.000Z","updatedAt":"2016-11-30T12:50:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/801"},{"rel":"revisions","href":"/dashboards/801/revisions"},{"rel":"revision","href":"/dashboards/801/revisions/2"},{"rel":"download","href":"/dashboards/801/revisions/2/download"},{"rel":"org","href":"/orgs/aeciopires"},{"rel":"images","href":"/dashboards/801/images"},{"rel":"thumbnails","href":"/dashboards/801/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":8568,"status":1,"statusCode":"active","orgId":201720,"orgSlug":"cheil1","orgName":"cheil1","slug":"zabbix-server-3-2-x","downloads":350,"revisionId":11763,"revision":1,"name":"Zabbix 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display","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2017-07-25T08:23:21.000Z","updatedAt":"2018-02-13T15:53:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2711"},{"rel":"revisions","href":"/dashboards/2711/revisions"},{"rel":"revision","href":"/dashboards/2711/revisions/3"},{"rel":"download","href":"/dashboards/2711/revisions/3/download"},{"rel":"org","href":"/orgs/vincentliu"},{"rel":"images","href":"/dashboards/2711/images"},{"rel":"thumbnails","href":"/dashboards/2711/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":2741,"status":1,"statusCode":"active","orgId":26100,"orgSlug":"aeciopires","orgName":"Aecio Pires","slug":"zabbix-server-3-4-x","downloads":4119,"revisionId":3770,"revision":1,"name":"Zabbix Server 3.4.X","description":"Displays metrics collected by the host Zabbix Server","readme":"Displays metrics collected by the host Zabbix Server.\r\n\r\nResolution: 1920px x 1080px (16:9)\r\n\r\nDashboard developed by Aécio Pires, a member of community Zabbix-BR http://zabbixbrasil.org\r\n\r\nThis dashboad use the datasource Zabbix provide by plugin grafana-zabbix developed Alexander Zobnin https://github.com/alexanderzobnin/grafana-zabbix.","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2017-07-27T12:59:50.000Z","updatedAt":"2017-08-23T18:58:03.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2741"},{"rel":"revisions","href":"/dashboards/2741/revisions"},{"rel":"revision","href":"/dashboards/2741/revisions/1"},{"rel":"download","href":"/dashboards/2741/revisions/1/download"},{"rel":"org","href":"/orgs/aeciopires"},{"rel":"images","href":"/dashboards/2741/images"},{"rel":"thumbnails","href":"/dashboards/2741/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":10958,"status":1,"statusCode":"active","orgId":238703,"orgSlug":"brikkho","orgName":"Brikkho.net","slug":"zabbix-server-3-4-x","downloads":516,"revisionId":15313,"revision":1,"name":"Zabbix Server 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Zabbix MySQL","readme":"zabbix server Required monitoring templates (both from zabbix)：\n1、Template App Zabbix Server\t\n2、Template DB MySQL\t\n3、Template OS Linux","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2018-11-13T07:12:49.000Z","updatedAt":"2018-11-13T07:27:50.000Z","isEditor":false,"hasLogo":true,"reviewsCount":7,"reviewsAvgRating":4.71,"links":[{"rel":"self","href":"/dashboards/8955"},{"rel":"revisions","href":"/dashboards/8955/revisions"},{"rel":"revision","href":"/dashboards/8955/revisions/1"},{"rel":"download","href":"/dashboards/8955/revisions/1/download"},{"rel":"org","href":"/orgs/payne1z"},{"rel":"images","href":"/dashboards/8955/images"},{"rel":"thumbnails","href":"/dashboards/8955/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":13023,"status":1,"statusCode":"active","orgId":351982,"orgSlug":"izm1chael","orgName":"izm1chael","slug":"zabbix-server-dashboard","downloads":6306,"revisionId":18857,"revision":2,"name":"Zabbix Server Dashboard","description":"Linux - Zabbix Server  - Zabbix MySQL","readme":"## Zabbix Server Dashboard\r\n\r\nThis dashboard is based upon [Zabbix Server Dashboard](https://grafana.com/grafana/dashboards/8955), however it was last updated 2 years ago and did not drop in nicely with the latest version of the plugin.\r\n\r\nThis dashboard gives a brief overview of some key metrics at the top and also displays any Zabbix alerts that might be present.\r\n![enter image description here](https://user-images.githubusercontent.com/26186145/93469572-95599a80-f8e8-11ea-8933-1697d55dbb91.png)\r\n\r\nWe also have some more Zabbix metrics as well as a number of generic server metrics for a better insight into the load your Zabbix server is under.\r\n![enter image description here](https://user-images.githubusercontent.com/26186145/93469765-d782dc00-f8e8-11ea-9d8a-da966e06807c.png)\r\n\r\nAnd finally we have metrics displaying key stats around the database that Zabbix is connected too.\r\n\r\n![enter image description here](https://user-images.githubusercontent.com/26186145/93469876-06994d80-f8e9-11ea-92d4-c65cf5edd21d.png)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource, 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dashboard ready for works with Zabbix Agent version 2","readme":"### Features\r\n- Status of the docker service with color alert.\r\n- Containers running/paused/stopped.\r\n- Total containers/images by size.\r\n- Stats availables from the machine like OS version, kernel, drivers, CPU, RAM availables.\r\n- Auto Discovery for containers with creation date, image used, Restart count with alert color.\r\n- CPU Usage time and Throottled time.\r\n- RAM Usage and peak usage.\r\n- Network I/O metrics.\r\n### Requeriments\r\n- Zabbix Agent V2\r\n- Datasource: Zabbix\r\n- Your host must have a host group with the regex name Docker\r\n- Zabbix Template: [https://www.zabbix.com/integrations/docker#tab:official1\r\n](https://www.zabbix.com/integrations/docker#tab:official1\r\n)\r\n### Support\r\n- Blog: [sysadm.es](https://sysadm.es)\r\n- Public Github: [sysadm.es](https://github.com/VGzsysadm?tab=repositories)\r\n![](https://raw.githubusercontent.com/VGzsysadm/sysadm.es-public-repository/master/new-1-1024x131.jpg)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2020-08-01T20:45:44.000Z","updatedAt":"2020-08-02T08:40:23.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12737"},{"rel":"revisions","href":"/dashboards/12737/revisions"},{"rel":"revision","href":"/dashboards/12737/revisions/1"},{"rel":"download","href":"/dashboards/12737/revisions/1/download"},{"rel":"org","href":"/orgs/vgzsysadm"},{"rel":"images","href":"/dashboards/12737/images"},{"rel":"thumbnails","href":"/dashboards/12737/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":16156,"status":1,"statusCode":"active","orgId":351177,"orgSlug":"michaelviana","orgName":"michaelviana","slug":"zabbix-docker","downloads":492,"revisionId":24515,"revision":1,"name":"Zabbix-Docker","description":"Docker dashboard ready for works with Zabbix Agent version 2","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource, MySQL","privacy":"public","createdAt":"2022-04-22T20:06:10.000Z","updatedAt":"2022-04-22T20:06:31.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16156"},{"rel":"revisions","href":"/dashboards/16156/revisions"},{"rel":"revision","href":"/dashboards/16156/revisions/1"},{"rel":"download","href":"/dashboards/16156/revisions/1/download"},{"rel":"org","href":"/orgs/michaelviana"},{"rel":"images","href":"/dashboards/16156/images"},{"rel":"thumbnails","href":"/dashboards/16156/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource","mysql"]},{"id":12739,"status":1,"statusCode":"active","orgId":405266,"orgSlug":"vgzsysadm","orgName":"vgzsysadm","slug":"infraestructure","downloads":2037,"revisionId":18340,"revision":1,"name":"Zabbix-Linux-Infrastructure","description":"Linux dashboard ready for works with Zabbix","readme":"### Features\r\n- Total Memory Available\r\n- Ping Status, problem hosts number, CPUs availables\r\n- FQDN\r\n- Memory utilization in % (real) CPU usage in %\r\n- IOWait CPU\r\n- Disk used in /\r\n- Free disk in / with colored bar alert\r\n- File RW/R\r\n- Network I/O\r\n### Requeriments\r\n- Datasource: Zabbix\r\n- Some items of Zabbix are custom ( Like calculation item for memory usage)\r\n- Zabbix template: [https://github.com/VGzsysadm/Zabbix-templates/blob/master/Zabbix-Linux-Infrastructure.xml](https://github.com/VGzsysadm/Zabbix-templates/blob/master/Zabbix-Linux-Infrastructure.xml)\r\n### Support\r\n- Blog: [sysadm.es](https://sysadm.es)\r\n- Public Github: [sysadm.es](https://github.com/VGzsysadm?tab=repositories)\r\n![](https://raw.githubusercontent.com/VGzsysadm/sysadm.es-public-repository/master/new-1-1024x131.jpg)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2020-08-01T21:33:01.000Z","updatedAt":"2020-08-02T08:47:31.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12739"},{"rel":"revisions","href":"/dashboards/12739/revisions"},{"rel":"revision","href":"/dashboards/12739/revisions/1"},{"rel":"download","href":"/dashboards/12739/revisions/1/download"},{"rel":"org","href":"/orgs/vgzsysadm"},{"rel":"images","href":"/dashboards/12739/images"},{"rel":"thumbnails","href":"/dashboards/12739/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":16856,"status":1,"statusCode":"active","orgId":704594,"orgSlug":"ferraciollifranco","orgName":"ferraciollifranco","slug":"zabbix-linux-infrastructure","downloads":419,"revisionId":25837,"revision":1,"name":"Zabbix-Linux-Infrastructure","description":"Linux dashboard ready for works with Zabbix","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2022-09-05T13:03:59.000Z","updatedAt":"2022-09-05T13:04:02.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16856"},{"rel":"revisions","href":"/dashboards/16856/revisions"},{"rel":"revision","href":"/dashboards/16856/revisions/1"},{"rel":"download","href":"/dashboards/16856/revisions/1/download"},{"rel":"org","href":"/orgs/ferraciollifranco"},{"rel":"images","href":"/dashboards/16856/images"},{"rel":"thumbnails","href":"/dashboards/16856/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":12738,"status":1,"statusCode":"active","orgId":405266,"orgSlug":"vgzsysadm","orgName":"vgzsysadm","slug":"mysql","downloads":1612,"revisionId":18339,"revision":1,"name":"Zabbix-MySQL","description":"MySQL dashboard ready for works with Zabbix Agent version 2","readme":"### Features\r\n- Buffer pool metrics\r\n- Threads metrics\r\n- InnoDB lock waits/time\r\n- Max used connections\r\n- Uptime, status, version\r\n- Autodiscovery for database size\r\n- Aborted connections, slow queries\r\n- Commands operations per second\r\n- Data I/O per second\r\n### Requeriments\r\n- Zabbix Agent V2\r\n- Datasource: Zabbix\r\n- At the variable $Group, you must match your group to focus at regex field\r\n- Zabbix Template: [https://git.zabbix.com/projects/ZBX/repos/zabbix/browse/templates/db/mysql_agent2/README.md](https://git.zabbix.com/projects/ZBX/repos/zabbix/browse/templates/db/mysql_agent2/README.md)\r\n### Support\r\n- Blog: [sysadm.es](https://sysadm.es)\r\n- Public Github: [sysadm.es](https://github.com/VGzsysadm?tab=repositories)\r\n![](https://raw.githubusercontent.com/VGzsysadm/sysadm.es-public-repository/master/new-1-1024x131.jpg)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2020-08-01T21:21:36.000Z","updatedAt":"2020-08-02T08:44:12.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12738"},{"rel":"revisions","href":"/dashboards/12738/revisions"},{"rel":"revision","href":"/dashboards/12738/revisions/1"},{"rel":"download","href":"/dashboards/12738/revisions/1/download"},{"rel":"org","href":"/orgs/vgzsysadm"},{"rel":"images","href":"/dashboards/12738/images"},{"rel":"thumbnails","href":"/dashboards/12738/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":12741,"status":1,"statusCode":"active","orgId":405266,"orgSlug":"vgzsysadm","orgName":"vgzsysadm","slug":"redis","downloads":1095,"revisionId":18343,"revision":1,"name":"Zabbix-Redis","description":"Redis dashboard ready for works with Zabbix Agent version 2","readme":"### Features\r\n- Status of the service.\r\n- Software versions and modes.\r\n- AOF Metrics.\r\n- RDB Metrics.\r\n- CPU Utilization.\r\n- RAM Utilization.\r\n- Network I/O.\r\n- Expiration/eviction keys metrics.\r\n- Dictionary hit ratio.\r\n- Autodiscovery for databases with TTL average,Total keys and expired keys.\r\n\r\n### Requeriments\r\n- Zabbix Agent V2\r\n- Datasource: Zabbix\r\n- Your host must have a host group with the regex name Redis\r\n- Zabbix Template: [https://www.zabbix.com/integrations/redis\r\n](https://www.zabbix.com/integrations/redis\r\n)\r\n### Support\r\n- Blog: [sysadm.es](https://sysadm.es)\r\n- Public Github: [sysadm.es](https://github.com/VGzsysadm?tab=repositories)\r\n![](https://raw.githubusercontent.com/VGzsysadm/sysadm.es-public-repository/master/new-1-1024x131.jpg)\r\n","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2020-08-02T13:28:38.000Z","updatedAt":"2020-08-04T06:16:33.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12741"},{"rel":"revisions","href":"/dashboards/12741/revisions"},{"rel":"revision","href":"/dashboards/12741/revisions/1"},{"rel":"download","href":"/dashboards/12741/revisions/1/download"},{"rel":"org","href":"/orgs/vgzsysadm"},{"rel":"images","href":"/dashboards/12741/images"},{"rel":"thumbnails","href":"/dashboards/12741/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":13355,"status":1,"statusCode":"active","orgId":432845,"orgSlug":"garysdevil","orgName":"garysdevil","slug":"zabbix-simple-v5-0","downloads":878,"revisionId":25902,"revision":8,"name":"Zabbix-Simple-V5.0","description":"A simple but necessary dashboard for monitoring of operation system","readme":"Required Plugin:\r\n```bash\r\n# download Zabbix plugin in command line\r\ngrafana-cli plugins install alexanderzobnin-zabbix-app\r\n# enable Zabbix plugin in GUI\r\nGrafana GUI -> Configuaration -> Plugins -> Zabbix -> Config -> enable\r\n```\r\n","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"alexanderzobnin-zabbix-datasource","privacy":"public","createdAt":"2020-11-06T16:49:47.000Z","updatedAt":"2022-09-07T13:33:15.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/13355"},{"rel":"revisions","href":"/dashboards/13355/revisions"},{"rel":"revision","href":"/dashboards/13355/revisions/8"},{"rel":"download","href":"/dashboards/13355/revisions/8/download"},{"rel":"org","href":"/orgs/garysdevil"},{"rel":"images","href":"/dashboards/13355/images"},{"rel":"thumbnails","href":"/dashboards/13355/thumbnails"}],"datasourceSlugs":["alexanderzobnin-zabbix-datasource"]},{"id":23320,"status":1,"statusCode":"active","orgId":1384806,"orgSlug":"elabstest","orgName":"elabstest","slug":"zammad-support-dashboard","downloads":279,"revisionId":36985,"revision":1,"name":"Zammad Support Dashboard","description":"Zammad Test 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via Zammads CTI.","readme":"You can find a full setup how to on our documentation: [Zammad documentation](https://docs.zammad.org/en/latest/appendix/reporting-tools-thirdparty/grafana.html).\r\n\r\nAll our sample dashboards are stored in this GitHub repository:\r\n[https://github.com/zammad/grafana-dashboards](https://github.com/zammad/grafana-dashboards)\r\n\r\nIf you have trouble with Zammad or your particular Zammad related dashboards, please consult the [Zammad community](https://community.zammad.org) - we're not monitoring other places.\r\n\r\n---\r\n\r\nWanna fiddle on your own? You may find our documentation page for [Elasticsearch index attributes](https://docs.zammad.org/en/latest/install/elasticsearch/indexed-attributes.html) useful!","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2021-04-14T10:43:10.000Z","updatedAt":"2024-04-02T17:52:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14223"},{"rel":"revisions","href":"/dashboards/14223/revisions"},{"rel":"revision","href":"/dashboards/14223/revisions/2"},{"rel":"download","href":"/dashboards/14223/revisions/2/download"},{"rel":"org","href":"/orgs/zammadteam"},{"rel":"images","href":"/dashboards/14223/images"},{"rel":"thumbnails","href":"/dashboards/14223/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":14224,"status":1,"statusCode":"active","orgId":482568,"orgSlug":"zammadteam","orgName":"zammadteam","slug":"zammad-chats","downloads":466,"revisionId":32311,"revision":3,"name":"Zammad: Chats","description":"Sample Dashboard to visualize Zammad Chats.","readme":"You can find a full setup how to on our documentation: [Zammad documentation](https://docs.zammad.org/en/latest/appendix/reporting-tools-thirdparty/grafana.html).\r\n\r\nAll our sample dashboards are stored in this GitHub repository:\r\n[https://github.com/zammad/grafana-dashboards](https://github.com/zammad/grafana-dashboards)\r\n\r\nIf you have trouble with Zammad or your particular Zammad related dashboards, please consult the [Zammad community](https://community.zammad.org) - we're not monitoring other places.\r\n\r\n---\r\n\r\nWanna fiddle on your own? You may find our documentation page for [Elasticsearch index attributes](https://docs.zammad.org/en/latest/install/elasticsearch/indexed-attributes.html) useful!","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2021-04-14T10:46:07.000Z","updatedAt":"2024-04-08T13:40:22.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14224"},{"rel":"revisions","href":"/dashboards/14224/revisions"},{"rel":"revision","href":"/dashboards/14224/revisions/3"},{"rel":"download","href":"/dashboards/14224/revisions/3/download"},{"rel":"org","href":"/orgs/zammadteam"},{"rel":"images","href":"/dashboards/14224/images"},{"rel":"thumbnails","href":"/dashboards/14224/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":14222,"status":1,"statusCode":"active","orgId":482568,"orgSlug":"zammadteam","orgName":"zammadteam","slug":"zammad-tickets","downloads":1434,"revisionId":32240,"revision":4,"name":"Zammad: Tickets","description":"Sample dashboard for Zammad Tickets.","readme":"You can find a full setup how to on our documentation: [Zammad documentation](https://docs.zammad.org/en/latest/appendix/reporting-tools-thirdparty/grafana.html).\r\n\r\nAll our sample dashboards are stored in this GitHub repository:\r\n[https://github.com/zammad/grafana-dashboards](https://github.com/zammad/grafana-dashboards)\r\n\r\nIf you have trouble with Zammad or your particular Zammad related dashboards, please consult the [Zammad community](https://community.zammad.org) - we're not monitoring other places.\r\n\r\n---\r\n\r\nWanna fiddle on your own? You may find our documentation page for [Elasticsearch index attributes](https://docs.zammad.org/en/latest/install/elasticsearch/indexed-attributes.html) useful!","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Elasticsearch","privacy":"public","createdAt":"2021-04-14T10:19:46.000Z","updatedAt":"2024-04-02T17:51:05.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/14222"},{"rel":"revisions","href":"/dashboards/14222/revisions"},{"rel":"revision","href":"/dashboards/14222/revisions/4"},{"rel":"download","href":"/dashboards/14222/revisions/4/download"},{"rel":"org","href":"/orgs/zammadteam"},{"rel":"images","href":"/dashboards/14222/images"},{"rel":"thumbnails","href":"/dashboards/14222/thumbnails"}],"datasourceSlugs":["elasticsearch"]},{"id":12561,"status":1,"statusCode":"active","orgId":320001,"orgSlug":"doubtingben","orgName":"doubtingben","slug":"zcash-tnb","downloads":1648,"revisionId":18161,"revision":5,"name":"Zcash-tnb","description":"Dashboard to monitor a group of zcashd instances each with a corresponding zcashd_exporter 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https://github.com/zcash-hackworks/zcashd_exporter","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus, Loki","privacy":"public","createdAt":"2019-12-01T19:13:41.000Z","updatedAt":"2019-12-19T15:27:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/11325"},{"rel":"revisions","href":"/dashboards/11325/revisions"},{"rel":"revision","href":"/dashboards/11325/revisions/7"},{"rel":"download","href":"/dashboards/11325/revisions/7/download"},{"rel":"org","href":"/orgs/doubtingben"},{"rel":"images","href":"/dashboards/11325/images"},{"rel":"thumbnails","href":"/dashboards/11325/thumbnails"}],"datasourceSlugs":["loki","prometheus"]},{"id":5237,"status":1,"statusCode":"active","orgId":132926,"orgSlug":"cmur2cam","orgName":"cmur2cam","slug":"zeebe","downloads":819,"revisionId":6971,"revision":1,"name":"Zeebe","description":"High-level Zeebe.io cluster metrics via Prometheus.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-03-23T14:55:57.000Z","updatedAt":"2018-03-23T14:57:51.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/5237"},{"rel":"revisions","href":"/dashboards/5237/revisions"},{"rel":"revision","href":"/dashboards/5237/revisions/1"},{"rel":"download","href":"/dashboards/5237/revisions/1/download"},{"rel":"org","href":"/orgs/cmur2cam"},{"rel":"images","href":"/dashboards/5237/images"},{"rel":"thumbnails","href":"/dashboards/5237/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":5210,"status":1,"statusCode":"active","orgId":132926,"orgSlug":"cmur2cam","orgName":"cmur2cam","slug":"zeebe","downloads":537,"revisionId":6929,"revision":1,"name":"Zeebe Diagnostics","description":"Low-level diagnostic Zeebe.io broker metrics via Prometheus.","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2018-03-23T10:14:11.000Z","updatedAt":"2018-03-23T14:58:04.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/5210"},{"rel":"revisions","href":"/dashboards/5210/revisions"},{"rel":"revision","href":"/dashboards/5210/revisions/1"},{"rel":"download","href":"/dashboards/5210/revisions/1/download"},{"rel":"org","href":"/orgs/cmur2cam"},{"rel":"images","href":"/dashboards/5210/images"},{"rel":"thumbnails","href":"/dashboards/5210/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":20855,"status":1,"statusCode":"active","orgId":1090821,"orgSlug":"peter4275","orgName":"peter4275","slug":"zeek-dashboard","downloads":602,"revisionId":32334,"revision":1,"name":"Zeek Dashboard","description":"Visualize zeek logs to investigate network traffic captures (pcap)","readme":"Using Zeek logs, we configure Grafana to view network pcaps creating visualizations like connection summaries, protocol breakdowns, and traffic volume trends. This enables users to efficiently monitor network activity, identify potential security threats, and analyze network behavior.\r\n\r\nThe idea is to use this as a template to create further customized dashboards specific to network security requirements of your organization.\r\n\r\nStart here - [https://github.com/hackertarget/pcap-did-what/](https://github.com/hackertarget/pcap-did-what/)\r\n\r\nor jump into the full guide - [https://hackertarget.com/zeek-geoip-asn-ja4/](https://hackertarget.com/zeek-geoip-asn-ja4/)","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"SQLite","privacy":"public","createdAt":"2024-04-09T02:39:46.000Z","updatedAt":"2024-04-09T03:01:40.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/20855"},{"rel":"revisions","href":"/dashboards/20855/revisions"},{"rel":"revision","href":"/dashboards/20855/revisions/1"},{"rel":"download","href":"/dashboards/20855/revisions/1/download"},{"rel":"org","href":"/orgs/peter4275"},{"rel":"images","href":"/dashboards/20855/images"},{"rel":"thumbnails","href":"/dashboards/20855/thumbnails"}],"datasourceSlugs":["frser-sqlite-datasource"]},{"id":24654,"status":1,"statusCode":"active","orgId":1634973,"orgSlug":"awelzel","orgName":"awelzel","slug":"zeekops","downloads":16,"revisionId":39498,"revision":1,"name":"ZeekOps Dashboard","description":"A dashboard for Zeek operators.","readme":"Configure prometheus to use HTTP service discovery with Zeek's manager discovery endpoint:\r\n\r\n```\r\nscrape_configs:\r\n  job_name: zeek-local-http-sd\r\n  scrape_interval: 5s\r\n  http_sd_configs:\r\n    - url: http://localhost:9991/services.json\r\n      refresh_interval: 10s\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-01-07T15:40:59.000Z","updatedAt":"2026-01-07T15:57:42.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24654"},{"rel":"revisions","href":"/dashboards/24654/revisions"},{"rel":"revision","href":"/dashboards/24654/revisions/1"},{"rel":"download","href":"/dashboards/24654/revisions/1/download"},{"rel":"org","href":"/orgs/awelzel"},{"rel":"images","href":"/dashboards/24654/images"},{"rel":"thumbnails","href":"/dashboards/24654/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":16035,"status":1,"statusCode":"active","orgId":625278,"orgSlug":"zachstence","orgName":"zachstence","slug":"zero-weather","downloads":340,"revisionId":24332,"revision":1,"name":"Zero Weather","description":"DIY a simple weather station using a Raspberry Pi Zero W and a DHT22 temperature/humidity sensor.\r\n\r\nMore docs coming soon.","readme":"https://github.com/zachstence/zero-weather","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2022-04-01T17:36:30.000Z","updatedAt":"2022-04-01T17:42:10.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/16035"},{"rel":"revisions","href":"/dashboards/16035/revisions"},{"rel":"revision","href":"/dashboards/16035/revisions/1"},{"rel":"download","href":"/dashboards/16035/revisions/1/download"},{"rel":"org","href":"/orgs/zachstence"},{"rel":"images","href":"/dashboards/16035/images"},{"rel":"thumbnails","href":"/dashboards/16035/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24918,"status":1,"statusCode":"active","orgId":1678896,"orgSlug":"lowtony","orgName":"lowtony","slug":"zero","downloads":12,"revisionId":40013,"revision":1,"name":"Zero-cache","description":"Zero-cache (Rocicorp Zero) (non-official dashboard) metrics: view-syncer, replication, mutations, CVR, hydration, IVM. \r\n\r\nDashboard was created for version Zero 0.24, so there may be new metrics now.\r\n\r\nMetrics list:  zero_sync_*, zero_replication_*, zero_mutation_*.","readme":"# Zero (Rocicorp Zero-cache) Dashboard\r\n\r\nThis dashboard visualizes **Zero-cache** metrics from [Rocicorp Zero](https://rocicorp.dev/zero): view-syncer, replication manager, CVR (Client View Replica), hydration, and IVM (Incremental View Maintenance).\r\n\r\n## What the Dashboard Shows\r\n\r\n| Section | Description |\r\n|--------|-------------|\r\n| **Active clients** | Connected sync clients per view-syncer instance and total across the fleet. |\r\n| **Overview** | Key stats: total active clients, replication tx/s, CRUD mutations/s, max protocol version, view-syncer and replication-manager uptimes. |\r\n| **P95 latency** | 95th percentile latency for advance, hydration, IVM advance, and CVR flush operations. |\r\n| **Throughput** | Advance ops/s, hydration ops/s, replication events, transactions, and mutations. |\r\n| **Advance latency quantiles** | P50, P95, P99, and average for the \"advance\" operation. |\r\n| **CVR & IVM** | Client View Replica flush latency and throughput; IVM advance latency and throughput. |\r\n| **Hydration latency** | P50, P95, P99, and average for query hydration (initial load). |\r\n\r\n## Required Prometheus Metrics\r\n\r\nThe dashboard expects these metric families. All must be exposed to Prometheus (or compatible backends such as VictoriaMetrics, Mimir).\r\n\r\n### View-syncer (`job=\"zero-cache-view-syncer\"`)\r\n\r\n- `zero_sync_active_clients` — connected clients per instance\r\n- `zero_sync_max_protocol_version` — max protocol version\r\n- `zero_sync_advance_time_seconds_bucket` / `_sum` / `_count` — advance operation duration (histogram)\r\n- `zero_sync_hydration_total` — hydration operation count\r\n- `zero_sync_hydration_time_seconds_bucket` / `_sum` / `_count` — hydration duration\r\n- `zero_sync_cvr_flush_time_seconds_bucket` / `_count` — CVR flush duration\r\n- `zero_sync_cvr_rows_flushed_total` — rows flushed to CVR\r\n- `zero_sync_ivm_advance_time_seconds_bucket` / `_count` — IVM advance duration\r\n- `zero_server_uptime_seconds` — process uptime\r\n\r\n### Replication manager (`job=\"zero-cache-replication-manager\"`)\r\n\r\n- `zero_replication_transactions_total`\r\n- `zero_replication_events_total`\r\n- `zero_mutation_crud_total`\r\n- `zero_server_uptime_seconds`\r\n\r\n### Required Labels\r\n\r\n- `deployment_environment_name` — environment (e.g. `dev`, `prod`). Used for the **Env** variable and filtering.\r\n\r\n## How to Collect Metrics\r\n\r\nZero natively exports metrics via **OpenTelemetry (OTLP)**. Point the Zero containers at an OTLP receiver; the receiver then exports to Prometheus or a Prometheus-compatible store.\r\n\r\n### Grafana Alloy as OTLP receiver\r\n\r\nConfigure Alloy to receive OTLP and remote-write to Prometheus/Mimir:\r\n\r\n```hcl\r\notelcol.receiver.otlp \"default\" {\r\n  http { endpoint = \"0.0.0.0:14318\" }\r\n  output {\r\n    metrics = [otelcol.exporter.prometheus.default.input]\r\n  }\r\n}\r\n\r\notelcol.exporter.prometheus \"default\" {\r\n  forward_to = [prometheus.remote_write.default.receiver]\r\n  resource_to_telemetry_conversion = true\r\n}\r\n```\r\n\r\nSet environment variables on the Zero containers:\r\n\r\n```bash\r\nOTEL_EXPORTER_OTLP_ENDPOINT=http://your-alloy-host:14318\r\nOTEL_RESOURCE_ATTRIBUTES=service.name=zero-cache-view-syncer,deployment.environment.name=dev\r\n```\r\n\r\n(Use `zero-cache-replication-manager` for the replication-manager service.)\r\n\r\nAlloy will convert OTLP to Prometheus format; ensure `deployment.environment.name` is mapped to `deployment_environment_name` in the final metrics (e.g. via relabeling).\r\n\r\n## Dashboard Variables\r\n\r\n- **Env** — `deployment_environment_name` (from `label_values(zero_server_uptime_seconds, deployment_environment_name)`).\r\n- **interval** — aggregation window for rate queries (1m, 5m, 15m).\r\n\r\n## Histogram Note\r\n\r\nThe Zero OTEL exporter uses histogram bucket boundaries in **milliseconds** (e.g. 10, 100, 1000 ms). The dashboard divides quantiles by 1000 to convert to seconds. 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displayed include zpool status and state, errors, op/byte rate, and space available.","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2016-08-14T20:35:20.000Z","updatedAt":"2016-08-14T20:44:06.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/328"},{"rel":"revisions","href":"/dashboards/328/revisions"},{"rel":"revision","href":"/dashboards/328/revisions/1"},{"rel":"download","href":"/dashboards/328/revisions/1/download"},{"rel":"org","href":"/orgs/ncabatoff"},{"rel":"images","href":"/dashboards/328/images"},{"rel":"thumbnails","href":"/dashboards/328/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3170,"status":1,"statusCode":"active","orgId":78983,"orgSlug":"dmlurth","orgName":"dmlurth","slug":"zfs","downloads":1926,"revisionId":11476,"revision":3,"name":"zfs","description":"zfs graphs","readme":"updated for node_exporter 0.16.0","collectorType":"nodeExporter","collectorConfig":"Queries assume prometheus.yml: `- job_name: 'node'`","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2017-09-07T23:39:42.000Z","updatedAt":"2018-10-13T18:38:35.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3170"},{"rel":"revisions","href":"/dashboards/3170/revisions"},{"rel":"revision","href":"/dashboards/3170/revisions/3"},{"rel":"download","href":"/dashboards/3170/revisions/3/download"},{"rel":"org","href":"/orgs/dmlurth"},{"rel":"images","href":"/dashboards/3170/images"},{"rel":"thumbnails","href":"/dashboards/3170/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11337,"status":1,"statusCode":"active","orgId":320704,"orgSlug":"elurex","orgName":"elurex","slug":"zfs","downloads":720,"revisionId":15908,"revision":1,"name":"ZFS","description":"zfs arc zpool access time iops with multi node comparison","readme":"zfs arc zpool access time iops with multi node comparison  ---- \r\nremove  /^g.*/  from node variable regex","collectorType":"nodeExporter","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-12-03T10:17:08.000Z","updatedAt":"2019-12-03T10:36:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11337"},{"rel":"revisions","href":"/dashboards/11337/revisions"},{"rel":"revision","href":"/dashboards/11337/revisions/1"},{"rel":"download","href":"/dashboards/11337/revisions/1/download"},{"rel":"org","href":"/orgs/elurex"},{"rel":"images","href":"/dashboards/11337/images"},{"rel":"thumbnails","href":"/dashboards/11337/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15008,"status":1,"statusCode":"active","orgId":542189,"orgSlug":"nahsi","orgName":"nahsi","slug":"zfs","downloads":910,"revisionId":22448,"revision":4,"name":"ZFS","description":"","readme":"Metrics collected using `zpool_influxdb` [command](https://github.com/openzfs/zfs/tree/master/cmd/zpool_influxdb) and telegraf `zfs` input [plugin](https://github.com/influxdata/telegraf/blob/master/plugins/inputs/zfs/README.md) (used only in ARC and L2 ARC) and scraped by Prometheus using `prometheus_client` [plugin](https://github.com/influxdata/telegraf/tree/master/plugins/outputs/prometheus_client)","collectorType":"Telegraf","collectorConfig":"    [[inputs.zfs]]\n    [[inputs.execd]]\n      command = [\"/usr/libexec/zfs/zpool_influxdb\", \"--execd\"]\n      signal = \"STDIN\"\n      restart_delay = \"10s\"\n      data_format = \"influx\"\n","collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2021-09-15T06:44:48.000Z","updatedAt":"2021-09-18T17:52:03.000Z","isEditor":false,"hasLogo":false,"reviewsCount":2,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/15008"},{"rel":"revisions","href":"/dashboards/15008/revisions"},{"rel":"revision","href":"/dashboards/15008/revisions/4"},{"rel":"download","href":"/dashboards/15008/revisions/4/download"},{"rel":"org","href":"/orgs/nahsi"},{"rel":"images","href":"/dashboards/15008/images"},{"rel":"thumbnails","href":"/dashboards/15008/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":13020,"status":1,"statusCode":"active","orgId":417390,"orgSlug":"billmeyerpersonal","orgName":"Bill Meyer","slug":"zfs","downloads":360,"revisionId":18844,"revision":1,"name":"ZFS","description":"ZFS Zpool metrics as produced by https://github.com/ncabatoff/zfs-exporter","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-09-16T11:52:11.000Z","updatedAt":"2020-09-16T11:52:39.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/13020"},{"rel":"revisions","href":"/dashboards/13020/revisions"},{"rel":"revision","href":"/dashboards/13020/revisions/1"},{"rel":"download","href":"/dashboards/13020/revisions/1/download"},{"rel":"org","href":"/orgs/billmeyerpersonal"},{"rel":"images","href":"/dashboards/13020/images"},{"rel":"thumbnails","href":"/dashboards/13020/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":21447,"status":1,"statusCode":"active","orgId":1160443,"orgSlug":"songlim","orgName":"songlim","slug":"zfs","downloads":339,"revisionId":33414,"revision":1,"name":"ZFS","description":"A ZFS dashboard with simple metrics including capacity, pool activity, IO size, latency and etc.","readme":"The metrics is collected by using [telegraf](https://github.com/influxdata/telegraf), serve an endpoint which later scraped by prometheus. ","collectorType":"Telegraf","collectorConfig":"[[inputs.exec]] \r\n\r\n  commands = [\"/usr/bin/zpool_influxdb\"] \r\n  \r\n  data_format = \"influx\"","collectorPluginList":"exec","datasource":"Prometheus","privacy":"public","createdAt":"2024-07-03T15:00:32.000Z","updatedAt":"2024-07-03T15:08:28.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/21447"},{"rel":"revisions","href":"/dashboards/21447/revisions"},{"rel":"revision","href":"/dashboards/21447/revisions/1"},{"rel":"download","href":"/dashboards/21447/revisions/1/download"},{"rel":"org","href":"/orgs/songlim"},{"rel":"images","href":"/dashboards/21447/images"},{"rel":"thumbnails","href":"/dashboards/21447/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":11364,"status":1,"statusCode":"active","orgId":322276,"orgSlug":"yvasiyarov","orgName":"yvasiyarov","slug":"zfs-monitoring-dashboard","downloads":1008,"revisionId":16263,"revision":2,"name":"ZFS Monitoring Dashboard","description":"","readme":"Pool metrics collection in Telegraf ZFS plugin must be enabled:\npoolMetrics = true","collectorType":"Telegraf","collectorConfig":"[[inputs.zfs]]\n\npoolMetrics = true","collectorPluginList":"zfs","datasource":"Prometheus","privacy":"public","createdAt":"2019-12-06T08:54:10.000Z","updatedAt":"2020-01-10T11:29:33.000Z","isEditor":false,"hasLogo":false,"reviewsCount":1,"reviewsAvgRating":4,"links":[{"rel":"self","href":"/dashboards/11364"},{"rel":"revisions","href":"/dashboards/11364/revisions"},{"rel":"revision","href":"/dashboards/11364/revisions/2"},{"rel":"download","href":"/dashboards/11364/revisions/2/download"},{"rel":"org","href":"/orgs/yvasiyarov"},{"rel":"images","href":"/dashboards/11364/images"},{"rel":"thumbnails","href":"/dashboards/11364/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":15362,"status":1,"statusCode":"active","orgId":241981,"orgSlug":"scottmacdonald","orgName":"Scott MacDonald","slug":"zfs-pool-metrics","downloads":2075,"revisionId":23120,"revision":1,"name":"ZFS Pool Metrics","description":"Dashboard of metrics generated by Richard Elling's cool \"zpool_influxdb\" utility (now included in OpenZFS). ","readme":"Dashboard of metrics generated by Richard Elling's cool \"zpool_influxdb\" utility (now included in OpenZFS). \n\nIncludes stats, status, and all the latency and I/O size histograms.\n\nPlease see these links for more info:\n\n- [https://github.com/richardelling/zpool_influxdb](https://github.com/richardelling/zpool_influxdb)\n- [https://openzfs.github.io/openzfs-docs/man/8/zpool_influxdb.8.html](https://openzfs.github.io/openzfs-docs/man/8/zpool_influxdb.8.html)\n","collectorType":"Telegraf","collectorConfig":"Simply use the exec or execd plugin in Telegraf to run the utility.   Something like this for exec, or similar for execd:\n\n    [[inputs.exec]]\n      commands = [\"/usr/bin/zpool_influxdb\"]\n      data_format = \"influx\"\n\nSee [https://github.com/richardelling/zpool_influxdb](https://github.com/richardelling/zpool_influxdb) for more info.","collectorPluginList":"exec","datasource":"InfluxDB","privacy":"public","createdAt":"2021-12-08T11:26:16.000Z","updatedAt":"2021-12-08T12:04:14.000Z","isEditor":false,"hasLogo":true,"reviewsCount":2,"reviewsAvgRating":3,"links":[{"rel":"self","href":"/dashboards/15362"},{"rel":"revisions","href":"/dashboards/15362/revisions"},{"rel":"revision","href":"/dashboards/15362/revisions/1"},{"rel":"download","href":"/dashboards/15362/revisions/1/download"},{"rel":"org","href":"/orgs/scottmacdonald"},{"rel":"images","href":"/dashboards/15362/images"},{"rel":"thumbnails","href":"/dashboards/15362/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":17350,"status":1,"statusCode":"active","orgId":738070,"orgSlug":"bertieb","orgName":"bertieb","slug":"zfs-pool-metrics-influxdb-v2","downloads":433,"revisionId":26661,"revision":1,"name":"ZFS Pool Metrics (InfluxDBv2)","description":"Dashboard of metrics generated by Richard Elling's cool \"zpool_influxdb\" utility (included in OpenZFS), version for InfluxDB v2.","readme":"A dashboard of metrics produced by the `zpool_influxdb` utility (see the [manpage](https://openzfs.github.io/openzfs-docs/man/8/zpool_influxdb.8.html) & [GitHub page](https://github.com/richardelling/zpool_influxdb) for more info). \r\n\r\nFeatures include pool activity, status, queues, and individual/aggregate IO sizes.\r\n\r\nIt is a port of [Scott MacDonald's influxQL / v1 dashboard](https://grafana.com/grafana/dashboards/15362-zfs-pool-metrics/). This updated dashboard supports InfluxDBv2 and is written in flux.\r\n\r\nQuestions, comments, issues? Please [use the GitHub repo for this dashboard](https://github.com/bertiebaggio/grafana-zfs-metrics). Feedback is welcomed!","collectorType":"Telegraf","collectorConfig":"This uses Telegraf with the  `zpool_influxdb` collector. A [detailed setup guide can be found over at the du.nkel.dev blog](https://du.nkel.dev/blog/2021-05-05_proxmox_influxdb/), but a simple minimal config is:\r\n\r\n```\r\n#  Read metrics from zpool_influxdb\r\n[[inputs.exec]]\r\n  # CHECK PATH! Default installation location for zpool_influxdb command may be elsewhere\r\n  commands = [\"/usr/lib/zfs-linux/zpool_influxdb\"]\r\n  timeout = \"5s\"\r\n```\r\n\r\n","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2022-11-04T12:18:28.000Z","updatedAt":"2022-11-06T12:12:09.000Z","isEditor":false,"hasLogo":true,"reviewsCount":1,"reviewsAvgRating":5,"links":[{"rel":"self","href":"/dashboards/17350"},{"rel":"revisions","href":"/dashboards/17350/revisions"},{"rel":"revision","href":"/dashboards/17350/revisions/1"},{"rel":"download","href":"/dashboards/17350/revisions/1/download"},{"rel":"org","href":"/orgs/bertieb"},{"rel":"images","href":"/dashboards/17350/images"},{"rel":"thumbnails","href":"/dashboards/17350/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":24987,"status":1,"statusCode":"active","orgId":1693711,"orgSlug":"buroa","orgName":"buroa","slug":"zfs-pool-performance-and-health","downloads":330,"revisionId":40452,"revision":2,"name":"ZFS Pool Performance and Health","description":"ZFS Pool Performance and Health","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2026-03-09T20:48:52.000Z","updatedAt":"2026-04-12T12:39:37.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/24987"},{"rel":"revisions","href":"/dashboards/24987/revisions"},{"rel":"revision","href":"/dashboards/24987/revisions/2"},{"rel":"download","href":"/dashboards/24987/revisions/2/download"},{"rel":"org","href":"/orgs/buroa"},{"rel":"images","href":"/dashboards/24987/images"},{"rel":"thumbnails","href":"/dashboards/24987/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":12586,"status":1,"statusCode":"active","orgId":270522,"orgSlug":"gshiva","orgName":"gshiva","slug":"zfs","downloads":810,"revisionId":18092,"revision":1,"name":"ZFS-pdf-exporter","description":"ZFS Zpool metrics as produced byhttps://github.com/pdf/zfs_exporter","readme":"","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2020-07-06T06:01:27.000Z","updatedAt":"2020-07-06T06:09:11.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/12586"},{"rel":"revisions","href":"/dashboards/12586/revisions"},{"rel":"revision","href":"/dashboards/12586/revisions/1"},{"rel":"download","href":"/dashboards/12586/revisions/1/download"},{"rel":"org","href":"/orgs/gshiva"},{"rel":"images","href":"/dashboards/12586/images"},{"rel":"thumbnails","href":"/dashboards/12586/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":18965,"status":1,"statusCode":"active","orgId":877938,"orgSlug":"rajithr007","orgName":"rajithr007","slug":"zimble-dashboard","downloads":262,"revisionId":29079,"revision":1,"name":"Zimble Dashboard","description":"Zimble application Kube dashboard","readme":"Zimble application Kube dashboard","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2023-06-13T14:05:01.000Z","updatedAt":"2023-06-13T14:05:44.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/18965"},{"rel":"revisions","href":"/dashboards/18965/revisions"},{"rel":"revision","href":"/dashboards/18965/revisions/1"},{"rel":"download","href":"/dashboards/18965/revisions/1/download"},{"rel":"org","href":"/orgs/rajithr007"},{"rel":"images","href":"/dashboards/18965/images"},{"rel":"thumbnails","href":"/dashboards/18965/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":2846,"status":1,"statusCode":"active","orgId":77330,"orgSlug":"jorgedelacruz","orgName":"Jorge de la Cruz","slug":"zimbra-collaboration","downloads":2000,"revisionId":17439,"revision":2,"name":"Zimbra Collaboration","description":"Zimbra Dashboard by Jorge de la Cruz (jorgedelacruz.es)","readme":"This dashboard contains multiples sections with the goal to monitor a full Zimbra Collaboration Server or Servers, we have some sections to monitor the Linux and machine overall performance, and one dedicated section just to monitor Zimbra Collaboration. Special thanks to [Lex Rivera for his Linux System dashboard](https://grafana.com/orgs/lex)\n\n![alt tag](https://www.jorgedelacruz.es/wp-content/uploads/2019/09/zimbra-monitoring-grafana-001.png)\n\nDownload the checkzimbraversion.sh scripts from the [GitHub repository](https://github.com/jorgedlcruz/zimbra-grafana) and save it on the next path: \n```\n/opt/zimbra/common/bin/checkzimbraversion.sh\nchmod +x /opt/zimbra/common/bin/checkzimbraversion.sh\n```\nMore information available in: [https://github.com/jorgedlcruz/zimbra-grafana](https://github.com/jorgedlcruz/zimbra-grafana)\n\nZimbra Collaboration Performance\n* ZCS Version (Only 8.7 and above)\n* Received Megabytes\n* Total Emails/received\n* Deferred\n* Held\n* Incoming\n* Maildrop\n\nLinux and machine performance:\n* CPUs (defaults to all)\n* Disks (per-disk IOPS)\n* Network interfaces (packets, bandwidth, errors/drops)\n* Mountpoints (space / inodes)\n\n### Coming next\nThis is just a v0.3 of this Dashboard, the next step will be to use the Zimbra SOAP API to obtain some extra information from the Zimbra Collaboration Environment, like:\n* Number of Active Users\n* Number of Inactive Users\n* Number of Domains\n* Number of Users with ActiveSync\n* etc.\n\nIn next versions we will parse directly the logs and put the attempts of logins, and successful logins on a map.","collectorType":"Telegraf","collectorConfig":"Sample /etc/telegraf.d/zimbra.conf with inputs for Zimbra Processes, Zimbra Scripts, and Linux System Monitoring:\n\n```\n# Read metrics about cpu usage\n[[inputs.cpu]]\n  percpu = true\n  totalcpu = true\n  fielddrop = [\"time_*\"]\n\n# Read metrics about disk usage by mount point\n[[inputs.disk]]\n  ignore_fs = [\"tmpfs\", \"devtmpfs\"]\n\n[[inputs.diskio]]\n\n[[inputs.kernel]]\n\n[[inputs.mem]]\n\n[[inputs.processes]]\n\n[[inputs.swap]]\n\n[[inputs.system]]\n\n[[inputs.procstat]]\n  exe = \"memcached\"\n  prefix = \"memcached\"\n\n[[inputs.procstat]]\n  exe = \"java\"\n  prefix = \"java\"\n\n[[inputs.procstat]]\n  exe = \"mysqld\"\n  prefix = \"mysqld\"\n\n[[inputs.procstat]]\n  exe = \"slapd\"\n  prefix = \"slapd\"\n\n[[inputs.procstat]]\n  exe = \"nginx\"\n  prefix = \"nginx\"\n\n[[inputs.net]]\n\n[[inputs.exec]]\n  commands = [\"/opt/zimbra/common/bin/checkzimbraversion.sh\"]\n  name_override = \"zimbra_stats\"\n  data_format = \"value\"\n  data_type = \"string\"\n\n# # OpenLDAP cn=Monitor plugin\n# # As zimbra user run the next to obatin the password zmlocalconfig -s zimbra_ldap_password ldap_master_url\n [[inputs.openldap]]\n   host = \"YOURZIMBRASERVERHOSTNAME\"\n   port = 389\n   insecure_skip_verify = true\n   bind_dn = \"uid=zimbra,cn=admins,cn=zimbra\"\n   bind_password = \"YOURZIMBRALDAPPASSWORD\"\n   reverse_metric_names = true\n\n [[inputs.postfix]]\n    queue_directory = \"/opt/zimbra/data/postfix/spool\"\n    interval = \"1s\"\n\n```","collectorPluginList":"Other","datasource":"InfluxDB","privacy":"public","createdAt":"2017-08-07T00:13:44.000Z","updatedAt":"2020-05-05T10:54:46.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/2846"},{"rel":"revisions","href":"/dashboards/2846/revisions"},{"rel":"revision","href":"/dashboards/2846/revisions/2"},{"rel":"download","href":"/dashboards/2846/revisions/2/download"},{"rel":"org","href":"/orgs/jorgedelacruz"},{"rel":"images","href":"/dashboards/2846/images"},{"rel":"thumbnails","href":"/dashboards/2846/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":15319,"status":1,"statusCode":"active","orgId":570418,"orgSlug":"jason5961","orgName":"Jason Tools","slug":"zimbra-dashboard","downloads":491,"revisionId":23025,"revision":1,"name":"Zimbra Dashboard","description":"Zimbra Prometheus Exporter + Grafana Dashboard","readme":"Zimbra Prometheus Exporter + Grafana Dashboard\n\nThe following environment is tested:\n* Ubuntu 18.04\n* Zimbra 8.8.15\n* Python 3.6\n* Prometheus 2.18\n* Grafana 8.2.5\n\nIt needs to be used with my program Exporter and Prometheus.\n\nInstallation and operation instructions:  \nhttps://github.com/jasoncheng7115/zimbra_dashboards","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":null,"privacy":"public","createdAt":"2021-11-28T11:50:19.000Z","updatedAt":"2021-11-28T12:15:56.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/15319"},{"rel":"revisions","href":"/dashboards/15319/revisions"},{"rel":"revision","href":"/dashboards/15319/revisions/1"},{"rel":"download","href":"/dashboards/15319/revisions/1/download"},{"rel":"org","href":"/orgs/jason5961"},{"rel":"images","href":"/dashboards/15319/images"},{"rel":"thumbnails","href":"/dashboards/15319/thumbnails"}]},{"id":4985,"status":1,"statusCode":"active","orgId":77168,"orgSlug":"opc31199","orgName":"Sysadmins de Cuba","slug":"zimbra-graylog","downloads":1715,"revisionId":7190,"revision":13,"name":"Zimbra-Graylog","description":"Zimbra -> Filebeat -> Graylog -> Elasticsearch","readme":"Graylog\r\n\r\nTo config graylog for this dashboard get files from this repository.\r\n\r\n     #git clone https://github.com/opc40772/Zimbra-Graylog\r\n\r\nDownload this dashboard, edit it and replace domain.com whith your domain name.\r\n\r\n![](https://www.sysadminsdecuba.com/wp-content/uploads/2018/03/Dashboard-Zimbra-488x1024.png)\r\n","collectorType":"Beats","collectorConfig":"Only modify Filebeat prospectors and Logstash output to connect to graylog beats input\r\n\r\n    #=================== Filebeat prospectors ======================\r\n    filebeat.prospectors:\r\n  \r\n    # Each – is a prospector. Most options can be set at the prospector level, so\r\n    # you can use different prospectors for various configurations.\r\n    #Below are the prospector specific configurations.\r\n    \r\n    – input_type: log\r\n    document_type: postfix\r\n    paths:\r\n     – /var/log/mail.log\r\n    – input_type: log\r\n    document_type: zimbra_audit\r\n    paths:\r\n    – /opt/zimbra/log/audit.log\r\n    – input_type: log\r\n    document_type: zimbra_mailbox\r\n    paths:\r\n    – /opt/zimbra/log/zmmailboxd.out\r\n    – input_type: log\r\n    document_type: nginx\r\n    paths:\r\n    – /opt/zimbra/log/nginx.access.log\r\n     \r\n    #———————- Logstash output —————————\r\n    output.logstash:\r\n    # The Logstash hosts\r\n    hosts: [\"graylog.dominio.com:5045\"]\r\n \r\n    # Optional SSL. 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Tested with: the ZooKeeper new metric system since 3.6.0\n- Please contribute, comment, feedback, suggestions here or write an email to maoling199210191@sina.com.\n- If you have any issue, you can also report it to https://issues.apache.org/jira/projects/ZOOKEEPER/issues, label it as metric system\n- Users can ask for this Grafana dashboard account if having any good improvements by writing an email to **dev@zookeeper.apache.org**.\n- Installation guide can be found: https://github.com/apache/zookeeper/blob/master/zookeeper-docs/src/main/resources/markdown/zookeeperMonitor.md\n- For Alerting with Prometheus, Look at: https://github.com/apache/zookeeper/blob/master/zookeeper-docs/src/main/resources/markdown/zookeeperMonitor.md#Alerting\n--------------------------------------------------------------------------------------------------------\n\n**Change Log**\n\n[**v5**]\n- **TODO**: Adapt to kubernetes(k8s) and container environment\n\n[**v4**]\n- *Feature*:\n\t- Add the JVM related metrics\n\t- Support to choose by datasource, job and instance\n- *Fix*:\n\t- Remove duplicated metrics: e.g., write_batch_time_in_commit_processor\n\n- *Improvement*:\n\t- Use **rate()** to react the fluctuation of data for total time summary metric\n\t- Have a better classification by checking the source codes to know what every metric wants to do\n\t- The metrics in the **CommitProcessor** are placed the same order with the source code\n\t         for a better observation for the workflow of **CommitProcessor**\n\t- Use an unit(e.g., ms/byte) for metric graph\n\t- Prioritize the metrics in the same panel\n\t\n- *Compatibility Test*:\n        - Tested with grafana-6.x(**6.2.2**); 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targets: ['zk1.example.com:8090']\r\n```","collectorType":"Other","collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-12-19T07:58:40.000Z","updatedAt":"2019-12-19T08:40:45.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/11442"},{"rel":"revisions","href":"/dashboards/11442/revisions"},{"rel":"revision","href":"/dashboards/11442/revisions/1"},{"rel":"download","href":"/dashboards/11442/revisions/1/download"},{"rel":"org","href":"/orgs/andrii29"},{"rel":"images","href":"/dashboards/11442/images"},{"rel":"thumbnails","href":"/dashboards/11442/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":3711,"status":1,"statusCode":"active","orgId":98223,"orgSlug":"maliqu","orgName":"maliqu","slug":"zookeeper-overview","downloads":1696,"revisionId":5088,"revision":1,"name":"Zookeeper Overview","description":"Zookeeper Overview","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2017-11-13T09:42:47.000Z","updatedAt":"2017-11-13T09:44:28.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/3711"},{"rel":"revisions","href":"/dashboards/3711/revisions"},{"rel":"revision","href":"/dashboards/3711/revisions/1"},{"rel":"download","href":"/dashboards/3711/revisions/1/download"},{"rel":"org","href":"/orgs/maliqu"},{"rel":"images","href":"/dashboards/3711/images"},{"rel":"thumbnails","href":"/dashboards/3711/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10165,"status":1,"statusCode":"active","orgId":246352,"orgSlug":"kkaushal7","orgName":"kkaushal7","slug":"zookeeper-overview","downloads":520,"revisionId":14212,"revision":1,"name":"Zookeeper Overview","description":"Zookeeper Overview","readme":"","collectorType":"Telegraf","collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-05-09T07:20:56.000Z","updatedAt":"2019-05-09T07:21:30.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10165"},{"rel":"revisions","href":"/dashboards/10165/revisions"},{"rel":"revision","href":"/dashboards/10165/revisions/1"},{"rel":"download","href":"/dashboards/10165/revisions/1/download"},{"rel":"org","href":"/orgs/kkaushal7"},{"rel":"images","href":"/dashboards/10165/images"},{"rel":"thumbnails","href":"/dashboards/10165/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10291,"status":1,"statusCode":"active","orgId":255249,"orgSlug":"mantis","orgName":"Mantis PayTM","slug":"zookeeper-overview","downloads":448,"revisionId":14395,"revision":1,"name":"Zookeeper Overview","description":"Zookeeper Overview","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"InfluxDB","privacy":"public","createdAt":"2019-06-03T11:02:53.000Z","updatedAt":"2019-06-03T11:02:59.000Z","isEditor":false,"hasLogo":false,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10291"},{"rel":"revisions","href":"/dashboards/10291/revisions"},{"rel":"revision","href":"/dashboards/10291/revisions/1"},{"rel":"download","href":"/dashboards/10291/revisions/1/download"},{"rel":"org","href":"/orgs/mantis"},{"rel":"images","href":"/dashboards/10291/images"},{"rel":"thumbnails","href":"/dashboards/10291/thumbnails"}],"datasourceSlugs":["influxdb"]},{"id":10981,"status":1,"statusCode":"active","orgId":290262,"orgSlug":"liguozhongloki","orgName":"liguozhongloki","slug":"zookeeper-prometheus-arms","downloads":483,"revisionId":15344,"revision":1,"name":"Zookeeper Prometheus ARMS","description":"Zookeeper Prometheus ARMS","readme":"","collectorType":null,"collectorConfig":null,"collectorPluginList":null,"datasource":"Prometheus","privacy":"public","createdAt":"2019-10-09T09:39:07.000Z","updatedAt":"2019-10-09T09:39:47.000Z","isEditor":false,"hasLogo":true,"reviewsCount":0,"reviewsAvgRating":0,"links":[{"rel":"self","href":"/dashboards/10981"},{"rel":"revisions","href":"/dashboards/10981/revisions"},{"rel":"revision","href":"/dashboards/10981/revisions/1"},{"rel":"download","href":"/dashboards/10981/revisions/1/download"},{"rel":"org","href":"/orgs/liguozhongloki"},{"rel":"images","href":"/dashboards/10981/images"},{"rel":"thumbnails","href":"/dashboards/10981/thumbnails"}],"datasourceSlugs":["prometheus"]},{"id":9969,"status":1,"statusCode":"active","orgId":240502,"orgSlug":"psathaye","orgName":"psathaye","slug":"zookeeper-dashboard","downloads":3187,"revisionId":13920,"revision":1,"name":"Zookeeper Prometheus Dashboard","description":"Metrics was extracted from jmx-exporter that reads JMX data from JVM based applications and exposes it via HTTP in a simple text format that Prometheus understand and can scrape. 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